White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia

Xiaowei Li,1,2 Gongming Wang,2 Yingxue He,2 Zhun Wang,1 Mengyuan Zhang1,2 1Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China; 2Department of Anesthesiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of ChinaCorrespondence: Mengyuan Zhang, Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China, Tel +8668776472, Email myzsdslyy126.comPurpose: The aim of this study was to investigate whether white-cell derived biomarkers could serve as potential markers in prediction of postoperative delirium (POD) after lower limb fracture.Patients and Methods: Elderly patients with surgery for lower limb fracture under non-general anaesthesia were included. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and platelet-to-white cell ratio (PWR), which were most recently measured preceding surgery and measured within 24h after surgery, were calculated. Delirium was measured with Confusion Assessment Method (CAM) once daily from preoperative day 1 to postoperative day 3 or hospital discharge.Results: The incidence of POD was 32.6% (60/184). Between patients with and those without POD, there were significant differences in preoperative hematological biomarkers (neutrophil count, lymphocyte count, NLR and PWR) and postoperative hematological biomarkers (white cell count, neutrophil count, lymphocyte count, NLR, PLR and PWR). More obvious changes before and after operation for NLR, PLR and C-reactive protein (CRP) were found in patients with POD. Multivariate logistic regression showed that benzodiazepines (OR, 7.912; 95% CI, 1.884– 33.230; p = 0.005), change of CRP (OR, 1.017; 95% CI, 1.007– 1.027; p = 0.001) and postoperative NLR (OR, 1.358; 95% CI, 1.012– 1.823; p = 0.041) were associated with POD. When the changes of NLR, PLR and PWR entered multivariate logistic regression, older age (OR, 1.073; 95% CI, 1.001– 1.149; p = 0.046), benzodiazepines (OR, 6.811; 95% CI, 1.652– 28.081; p = 0.008), greater change of CRP (OR, 1.015; 95% CI, 1.006– 1.023; p = 0.001) and greater change of NLR (OR, 1.266; 95% CI, 1.035– 1.549; p = 0.022) were associated with increased risk of POD. Postoperative NLR had high accuracy to predict POD with area under curve (AUC) of 0.790 (95% CI 0.708 to 0.872).Conclusion: Age, benzodiazepines, postoperative NLR, change of NLR and change of CRP were independent predictable markers for POD in elderly patients undergoing surgery for lower limb fracture under non-general anaesthesia. Early postoperative NLR may help to recognize POD as soon as possible.Keywords: postoperative delirium, anaesthesia method, inflammation, neutrophil-to-lymphocyte ratio, lower limb fracture Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Li X [verfasserIn] Wang G [verfasserIn] He Y [verfasserIn] Wang Z [verfasserIn] Zhang M [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	postoperative delirium anaesthesia method inflammation neutrophil-to-lymphocyte ratio lower limb fracture

Übergeordnetes Werk:	In: Clinical Interventions in Aging - Dove Medical Press, 2009, (2022), Seite 383-392
Übergeordnetes Werk:	year:2022 ; pages:383-392

Links:	Link aufrufen Link aufrufen Journal toc

Katalog-ID:	DOAJ050952366

Internformat


LEADER	01000caa a22002652 4500
001	DOAJ050952366
003	DE-627
005	20230308155544.0
007	cr uuu---uuuuu
008	230227s2022 xx \|\|\|\|\|o 00\| \|\|eng c
035			\|a (DE-627)DOAJ050952366
035			\|a (DE-599)DOAJd403d8bdf2424893b6eeec3f1a9998da
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
050		0	\|a RC952-954.6
100	0		\|a Li X \|e verfasserin \|4 aut
245	1	0	\|a White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia
264		1	\|c 2022
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Xiaowei Li,1,2 Gongming Wang,2 Yingxue He,2 Zhun Wang,1 Mengyuan Zhang1,2 1Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China; 2Department of Anesthesiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of ChinaCorrespondence: Mengyuan Zhang, Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China, Tel +8668776472, Email myzsdslyy126.comPurpose: The aim of this study was to investigate whether white-cell derived biomarkers could serve as potential markers in prediction of postoperative delirium (POD) after lower limb fracture.Patients and Methods: Elderly patients with surgery for lower limb fracture under non-general anaesthesia were included. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and platelet-to-white cell ratio (PWR), which were most recently measured preceding surgery and measured within 24h after surgery, were calculated. Delirium was measured with Confusion Assessment Method (CAM) once daily from preoperative day 1 to postoperative day 3 or hospital discharge.Results: The incidence of POD was 32.6% (60/184). Between patients with and those without POD, there were significant differences in preoperative hematological biomarkers (neutrophil count, lymphocyte count, NLR and PWR) and postoperative hematological biomarkers (white cell count, neutrophil count, lymphocyte count, NLR, PLR and PWR). More obvious changes before and after operation for NLR, PLR and C-reactive protein (CRP) were found in patients with POD. Multivariate logistic regression showed that benzodiazepines (OR, 7.912; 95% CI, 1.884– 33.230; p = 0.005), change of CRP (OR, 1.017; 95% CI, 1.007– 1.027; p = 0.001) and postoperative NLR (OR, 1.358; 95% CI, 1.012– 1.823; p = 0.041) were associated with POD. When the changes of NLR, PLR and PWR entered multivariate logistic regression, older age (OR, 1.073; 95% CI, 1.001– 1.149; p = 0.046), benzodiazepines (OR, 6.811; 95% CI, 1.652– 28.081; p = 0.008), greater change of CRP (OR, 1.015; 95% CI, 1.006– 1.023; p = 0.001) and greater change of NLR (OR, 1.266; 95% CI, 1.035– 1.549; p = 0.022) were associated with increased risk of POD. Postoperative NLR had high accuracy to predict POD with area under curve (AUC) of 0.790 (95% CI 0.708 to 0.872).Conclusion: Age, benzodiazepines, postoperative NLR, change of NLR and change of CRP were independent predictable markers for POD in elderly patients undergoing surgery for lower limb fracture under non-general anaesthesia. Early postoperative NLR may help to recognize POD as soon as possible.Keywords: postoperative delirium, anaesthesia method, inflammation, neutrophil-to-lymphocyte ratio, lower limb fracture
650		4	\|a postoperative delirium
650		4	\|a anaesthesia method
650		4	\|a inflammation
650		4	\|a neutrophil-to-lymphocyte ratio
650		4	\|a lower limb fracture
653		0	\|a Geriatrics
700	0		\|a Wang G \|e verfasserin \|4 aut
700	0		\|a He Y \|e verfasserin \|4 aut
700	0		\|a Wang Z \|e verfasserin \|4 aut
700	0		\|a Zhang M \|e verfasserin \|4 aut
773	0	8	\|i In \|t Clinical Interventions in Aging \|d Dove Medical Press, 2009 \|g (2022), Seite 383-392 \|w (DE-627)504104365 \|w (DE-600)2212420-2 \|x 11781998 \|7 nnns
773	1	8	\|g year:2022 \|g pages:383-392
856	4	0	\|u https://doaj.org/article/d403d8bdf2424893b6eeec3f1a9998da \|z kostenfrei
856	4	0	\|u https://www.dovepress.com/white-cell-derived-inflammatory-biomarkers-in-prediction-of-postoperat-peer-reviewed-fulltext-article-CIA \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/1178-1998 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a GBV_ILN_11
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|j 2022 \|h 383-392

Indexfelder

author_variant	l x lx w g wg h y hy w z wz z m zm
matchkey_str	article:11781998:2022----::htcldrvdnlmaoyimresnrdcinfotprtvdlruiedryainsnegigugrfroe
hierarchy_sort_str	2022
callnumber-subject-code	RC
publishDate	2022
allfields	(DE-627)DOAJ050952366 (DE-599)DOAJd403d8bdf2424893b6eeec3f1a9998da DE-627 ger DE-627 rakwb eng RC952-954.6 Li X verfasserin aut White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Xiaowei Li,1,2 Gongming Wang,2 Yingxue He,2 Zhun Wang,1 Mengyuan Zhang1,2 1Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China; 2Department of Anesthesiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of ChinaCorrespondence: Mengyuan Zhang, Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China, Tel +8668776472, Email myzsdslyy126.comPurpose: The aim of this study was to investigate whether white-cell derived biomarkers could serve as potential markers in prediction of postoperative delirium (POD) after lower limb fracture.Patients and Methods: Elderly patients with surgery for lower limb fracture under non-general anaesthesia were included. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and platelet-to-white cell ratio (PWR), which were most recently measured preceding surgery and measured within 24h after surgery, were calculated. Delirium was measured with Confusion Assessment Method (CAM) once daily from preoperative day 1 to postoperative day 3 or hospital discharge.Results: The incidence of POD was 32.6% (60/184). Between patients with and those without POD, there were significant differences in preoperative hematological biomarkers (neutrophil count, lymphocyte count, NLR and PWR) and postoperative hematological biomarkers (white cell count, neutrophil count, lymphocyte count, NLR, PLR and PWR). More obvious changes before and after operation for NLR, PLR and C-reactive protein (CRP) were found in patients with POD. Multivariate logistic regression showed that benzodiazepines (OR, 7.912; 95% CI, 1.884– 33.230; p = 0.005), change of CRP (OR, 1.017; 95% CI, 1.007– 1.027; p = 0.001) and postoperative NLR (OR, 1.358; 95% CI, 1.012– 1.823; p = 0.041) were associated with POD. When the changes of NLR, PLR and PWR entered multivariate logistic regression, older age (OR, 1.073; 95% CI, 1.001– 1.149; p = 0.046), benzodiazepines (OR, 6.811; 95% CI, 1.652– 28.081; p = 0.008), greater change of CRP (OR, 1.015; 95% CI, 1.006– 1.023; p = 0.001) and greater change of NLR (OR, 1.266; 95% CI, 1.035– 1.549; p = 0.022) were associated with increased risk of POD. Postoperative NLR had high accuracy to predict POD with area under curve (AUC) of 0.790 (95% CI 0.708 to 0.872).Conclusion: Age, benzodiazepines, postoperative NLR, change of NLR and change of CRP were independent predictable markers for POD in elderly patients undergoing surgery for lower limb fracture under non-general anaesthesia. Early postoperative NLR may help to recognize POD as soon as possible.Keywords: postoperative delirium, anaesthesia method, inflammation, neutrophil-to-lymphocyte ratio, lower limb fracture postoperative delirium anaesthesia method inflammation neutrophil-to-lymphocyte ratio lower limb fracture Geriatrics Wang G verfasserin aut He Y verfasserin aut Wang Z verfasserin aut Zhang M verfasserin aut In Clinical Interventions in Aging Dove Medical Press, 2009 (2022), Seite 383-392 (DE-627)504104365 (DE-600)2212420-2 11781998 nnns year:2022 pages:383-392 https://doaj.org/article/d403d8bdf2424893b6eeec3f1a9998da kostenfrei https://www.dovepress.com/white-cell-derived-inflammatory-biomarkers-in-prediction-of-postoperat-peer-reviewed-fulltext-article-CIA kostenfrei https://doaj.org/toc/1178-1998 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2022 383-392
spelling	(DE-627)DOAJ050952366 (DE-599)DOAJd403d8bdf2424893b6eeec3f1a9998da DE-627 ger DE-627 rakwb eng RC952-954.6 Li X verfasserin aut White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Xiaowei Li,1,2 Gongming Wang,2 Yingxue He,2 Zhun Wang,1 Mengyuan Zhang1,2 1Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China; 2Department of Anesthesiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of ChinaCorrespondence: Mengyuan Zhang, Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China, Tel +8668776472, Email myzsdslyy126.comPurpose: The aim of this study was to investigate whether white-cell derived biomarkers could serve as potential markers in prediction of postoperative delirium (POD) after lower limb fracture.Patients and Methods: Elderly patients with surgery for lower limb fracture under non-general anaesthesia were included. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and platelet-to-white cell ratio (PWR), which were most recently measured preceding surgery and measured within 24h after surgery, were calculated. Delirium was measured with Confusion Assessment Method (CAM) once daily from preoperative day 1 to postoperative day 3 or hospital discharge.Results: The incidence of POD was 32.6% (60/184). Between patients with and those without POD, there were significant differences in preoperative hematological biomarkers (neutrophil count, lymphocyte count, NLR and PWR) and postoperative hematological biomarkers (white cell count, neutrophil count, lymphocyte count, NLR, PLR and PWR). More obvious changes before and after operation for NLR, PLR and C-reactive protein (CRP) were found in patients with POD. Multivariate logistic regression showed that benzodiazepines (OR, 7.912; 95% CI, 1.884– 33.230; p = 0.005), change of CRP (OR, 1.017; 95% CI, 1.007– 1.027; p = 0.001) and postoperative NLR (OR, 1.358; 95% CI, 1.012– 1.823; p = 0.041) were associated with POD. When the changes of NLR, PLR and PWR entered multivariate logistic regression, older age (OR, 1.073; 95% CI, 1.001– 1.149; p = 0.046), benzodiazepines (OR, 6.811; 95% CI, 1.652– 28.081; p = 0.008), greater change of CRP (OR, 1.015; 95% CI, 1.006– 1.023; p = 0.001) and greater change of NLR (OR, 1.266; 95% CI, 1.035– 1.549; p = 0.022) were associated with increased risk of POD. Postoperative NLR had high accuracy to predict POD with area under curve (AUC) of 0.790 (95% CI 0.708 to 0.872).Conclusion: Age, benzodiazepines, postoperative NLR, change of NLR and change of CRP were independent predictable markers for POD in elderly patients undergoing surgery for lower limb fracture under non-general anaesthesia. Early postoperative NLR may help to recognize POD as soon as possible.Keywords: postoperative delirium, anaesthesia method, inflammation, neutrophil-to-lymphocyte ratio, lower limb fracture postoperative delirium anaesthesia method inflammation neutrophil-to-lymphocyte ratio lower limb fracture Geriatrics Wang G verfasserin aut He Y verfasserin aut Wang Z verfasserin aut Zhang M verfasserin aut In Clinical Interventions in Aging Dove Medical Press, 2009 (2022), Seite 383-392 (DE-627)504104365 (DE-600)2212420-2 11781998 nnns year:2022 pages:383-392 https://doaj.org/article/d403d8bdf2424893b6eeec3f1a9998da kostenfrei https://www.dovepress.com/white-cell-derived-inflammatory-biomarkers-in-prediction-of-postoperat-peer-reviewed-fulltext-article-CIA kostenfrei https://doaj.org/toc/1178-1998 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2022 383-392
allfields_unstemmed	(DE-627)DOAJ050952366 (DE-599)DOAJd403d8bdf2424893b6eeec3f1a9998da DE-627 ger DE-627 rakwb eng RC952-954.6 Li X verfasserin aut White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Xiaowei Li,1,2 Gongming Wang,2 Yingxue He,2 Zhun Wang,1 Mengyuan Zhang1,2 1Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China; 2Department of Anesthesiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of ChinaCorrespondence: Mengyuan Zhang, Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China, Tel +8668776472, Email myzsdslyy126.comPurpose: The aim of this study was to investigate whether white-cell derived biomarkers could serve as potential markers in prediction of postoperative delirium (POD) after lower limb fracture.Patients and Methods: Elderly patients with surgery for lower limb fracture under non-general anaesthesia were included. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and platelet-to-white cell ratio (PWR), which were most recently measured preceding surgery and measured within 24h after surgery, were calculated. Delirium was measured with Confusion Assessment Method (CAM) once daily from preoperative day 1 to postoperative day 3 or hospital discharge.Results: The incidence of POD was 32.6% (60/184). Between patients with and those without POD, there were significant differences in preoperative hematological biomarkers (neutrophil count, lymphocyte count, NLR and PWR) and postoperative hematological biomarkers (white cell count, neutrophil count, lymphocyte count, NLR, PLR and PWR). More obvious changes before and after operation for NLR, PLR and C-reactive protein (CRP) were found in patients with POD. Multivariate logistic regression showed that benzodiazepines (OR, 7.912; 95% CI, 1.884– 33.230; p = 0.005), change of CRP (OR, 1.017; 95% CI, 1.007– 1.027; p = 0.001) and postoperative NLR (OR, 1.358; 95% CI, 1.012– 1.823; p = 0.041) were associated with POD. When the changes of NLR, PLR and PWR entered multivariate logistic regression, older age (OR, 1.073; 95% CI, 1.001– 1.149; p = 0.046), benzodiazepines (OR, 6.811; 95% CI, 1.652– 28.081; p = 0.008), greater change of CRP (OR, 1.015; 95% CI, 1.006– 1.023; p = 0.001) and greater change of NLR (OR, 1.266; 95% CI, 1.035– 1.549; p = 0.022) were associated with increased risk of POD. Postoperative NLR had high accuracy to predict POD with area under curve (AUC) of 0.790 (95% CI 0.708 to 0.872).Conclusion: Age, benzodiazepines, postoperative NLR, change of NLR and change of CRP were independent predictable markers for POD in elderly patients undergoing surgery for lower limb fracture under non-general anaesthesia. Early postoperative NLR may help to recognize POD as soon as possible.Keywords: postoperative delirium, anaesthesia method, inflammation, neutrophil-to-lymphocyte ratio, lower limb fracture postoperative delirium anaesthesia method inflammation neutrophil-to-lymphocyte ratio lower limb fracture Geriatrics Wang G verfasserin aut He Y verfasserin aut Wang Z verfasserin aut Zhang M verfasserin aut In Clinical Interventions in Aging Dove Medical Press, 2009 (2022), Seite 383-392 (DE-627)504104365 (DE-600)2212420-2 11781998 nnns year:2022 pages:383-392 https://doaj.org/article/d403d8bdf2424893b6eeec3f1a9998da kostenfrei https://www.dovepress.com/white-cell-derived-inflammatory-biomarkers-in-prediction-of-postoperat-peer-reviewed-fulltext-article-CIA kostenfrei https://doaj.org/toc/1178-1998 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2022 383-392
allfieldsGer	(DE-627)DOAJ050952366 (DE-599)DOAJd403d8bdf2424893b6eeec3f1a9998da DE-627 ger DE-627 rakwb eng RC952-954.6 Li X verfasserin aut White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Xiaowei Li,1,2 Gongming Wang,2 Yingxue He,2 Zhun Wang,1 Mengyuan Zhang1,2 1Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China; 2Department of Anesthesiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of ChinaCorrespondence: Mengyuan Zhang, Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China, Tel +8668776472, Email myzsdslyy126.comPurpose: The aim of this study was to investigate whether white-cell derived biomarkers could serve as potential markers in prediction of postoperative delirium (POD) after lower limb fracture.Patients and Methods: Elderly patients with surgery for lower limb fracture under non-general anaesthesia were included. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and platelet-to-white cell ratio (PWR), which were most recently measured preceding surgery and measured within 24h after surgery, were calculated. Delirium was measured with Confusion Assessment Method (CAM) once daily from preoperative day 1 to postoperative day 3 or hospital discharge.Results: The incidence of POD was 32.6% (60/184). Between patients with and those without POD, there were significant differences in preoperative hematological biomarkers (neutrophil count, lymphocyte count, NLR and PWR) and postoperative hematological biomarkers (white cell count, neutrophil count, lymphocyte count, NLR, PLR and PWR). More obvious changes before and after operation for NLR, PLR and C-reactive protein (CRP) were found in patients with POD. Multivariate logistic regression showed that benzodiazepines (OR, 7.912; 95% CI, 1.884– 33.230; p = 0.005), change of CRP (OR, 1.017; 95% CI, 1.007– 1.027; p = 0.001) and postoperative NLR (OR, 1.358; 95% CI, 1.012– 1.823; p = 0.041) were associated with POD. When the changes of NLR, PLR and PWR entered multivariate logistic regression, older age (OR, 1.073; 95% CI, 1.001– 1.149; p = 0.046), benzodiazepines (OR, 6.811; 95% CI, 1.652– 28.081; p = 0.008), greater change of CRP (OR, 1.015; 95% CI, 1.006– 1.023; p = 0.001) and greater change of NLR (OR, 1.266; 95% CI, 1.035– 1.549; p = 0.022) were associated with increased risk of POD. Postoperative NLR had high accuracy to predict POD with area under curve (AUC) of 0.790 (95% CI 0.708 to 0.872).Conclusion: Age, benzodiazepines, postoperative NLR, change of NLR and change of CRP were independent predictable markers for POD in elderly patients undergoing surgery for lower limb fracture under non-general anaesthesia. Early postoperative NLR may help to recognize POD as soon as possible.Keywords: postoperative delirium, anaesthesia method, inflammation, neutrophil-to-lymphocyte ratio, lower limb fracture postoperative delirium anaesthesia method inflammation neutrophil-to-lymphocyte ratio lower limb fracture Geriatrics Wang G verfasserin aut He Y verfasserin aut Wang Z verfasserin aut Zhang M verfasserin aut In Clinical Interventions in Aging Dove Medical Press, 2009 (2022), Seite 383-392 (DE-627)504104365 (DE-600)2212420-2 11781998 nnns year:2022 pages:383-392 https://doaj.org/article/d403d8bdf2424893b6eeec3f1a9998da kostenfrei https://www.dovepress.com/white-cell-derived-inflammatory-biomarkers-in-prediction-of-postoperat-peer-reviewed-fulltext-article-CIA kostenfrei https://doaj.org/toc/1178-1998 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2022 383-392
allfieldsSound	(DE-627)DOAJ050952366 (DE-599)DOAJd403d8bdf2424893b6eeec3f1a9998da DE-627 ger DE-627 rakwb eng RC952-954.6 Li X verfasserin aut White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Xiaowei Li,1,2 Gongming Wang,2 Yingxue He,2 Zhun Wang,1 Mengyuan Zhang1,2 1Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China; 2Department of Anesthesiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of ChinaCorrespondence: Mengyuan Zhang, Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China, Tel +8668776472, Email myzsdslyy126.comPurpose: The aim of this study was to investigate whether white-cell derived biomarkers could serve as potential markers in prediction of postoperative delirium (POD) after lower limb fracture.Patients and Methods: Elderly patients with surgery for lower limb fracture under non-general anaesthesia were included. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and platelet-to-white cell ratio (PWR), which were most recently measured preceding surgery and measured within 24h after surgery, were calculated. Delirium was measured with Confusion Assessment Method (CAM) once daily from preoperative day 1 to postoperative day 3 or hospital discharge.Results: The incidence of POD was 32.6% (60/184). Between patients with and those without POD, there were significant differences in preoperative hematological biomarkers (neutrophil count, lymphocyte count, NLR and PWR) and postoperative hematological biomarkers (white cell count, neutrophil count, lymphocyte count, NLR, PLR and PWR). More obvious changes before and after operation for NLR, PLR and C-reactive protein (CRP) were found in patients with POD. Multivariate logistic regression showed that benzodiazepines (OR, 7.912; 95% CI, 1.884– 33.230; p = 0.005), change of CRP (OR, 1.017; 95% CI, 1.007– 1.027; p = 0.001) and postoperative NLR (OR, 1.358; 95% CI, 1.012– 1.823; p = 0.041) were associated with POD. When the changes of NLR, PLR and PWR entered multivariate logistic regression, older age (OR, 1.073; 95% CI, 1.001– 1.149; p = 0.046), benzodiazepines (OR, 6.811; 95% CI, 1.652– 28.081; p = 0.008), greater change of CRP (OR, 1.015; 95% CI, 1.006– 1.023; p = 0.001) and greater change of NLR (OR, 1.266; 95% CI, 1.035– 1.549; p = 0.022) were associated with increased risk of POD. Postoperative NLR had high accuracy to predict POD with area under curve (AUC) of 0.790 (95% CI 0.708 to 0.872).Conclusion: Age, benzodiazepines, postoperative NLR, change of NLR and change of CRP were independent predictable markers for POD in elderly patients undergoing surgery for lower limb fracture under non-general anaesthesia. Early postoperative NLR may help to recognize POD as soon as possible.Keywords: postoperative delirium, anaesthesia method, inflammation, neutrophil-to-lymphocyte ratio, lower limb fracture postoperative delirium anaesthesia method inflammation neutrophil-to-lymphocyte ratio lower limb fracture Geriatrics Wang G verfasserin aut He Y verfasserin aut Wang Z verfasserin aut Zhang M verfasserin aut In Clinical Interventions in Aging Dove Medical Press, 2009 (2022), Seite 383-392 (DE-627)504104365 (DE-600)2212420-2 11781998 nnns year:2022 pages:383-392 https://doaj.org/article/d403d8bdf2424893b6eeec3f1a9998da kostenfrei https://www.dovepress.com/white-cell-derived-inflammatory-biomarkers-in-prediction-of-postoperat-peer-reviewed-fulltext-article-CIA kostenfrei https://doaj.org/toc/1178-1998 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2022 383-392
language	English
source	In Clinical Interventions in Aging (2022), Seite 383-392 year:2022 pages:383-392
sourceStr	In Clinical Interventions in Aging (2022), Seite 383-392 year:2022 pages:383-392
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	postoperative delirium anaesthesia method inflammation neutrophil-to-lymphocyte ratio lower limb fracture Geriatrics
isfreeaccess_bool	true
container_title	Clinical Interventions in Aging
authorswithroles_txt_mv	Li X @@aut@@ Wang G @@aut@@ He Y @@aut@@ Wang Z @@aut@@ Zhang M @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	504104365
id	DOAJ050952366
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ050952366</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308155544.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ050952366</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJd403d8bdf2424893b6eeec3f1a9998da</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC952-954.6</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Li X</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Xiaowei Li,1,2 Gongming Wang,2 Yingxue He,2 Zhun Wang,1 Mengyuan Zhang1,2 1Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China; 2Department of Anesthesiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of ChinaCorrespondence: Mengyuan Zhang, Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China, Tel +8668776472, Email myzsdslyy126.comPurpose: The aim of this study was to investigate whether white-cell derived biomarkers could serve as potential markers in prediction of postoperative delirium (POD) after lower limb fracture.Patients and Methods: Elderly patients with surgery for lower limb fracture under non-general anaesthesia were included. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and platelet-to-white cell ratio (PWR), which were most recently measured preceding surgery and measured within 24h after surgery, were calculated. Delirium was measured with Confusion Assessment Method (CAM) once daily from preoperative day 1 to postoperative day 3 or hospital discharge.Results: The incidence of POD was 32.6% (60/184). Between patients with and those without POD, there were significant differences in preoperative hematological biomarkers (neutrophil count, lymphocyte count, NLR and PWR) and postoperative hematological biomarkers (white cell count, neutrophil count, lymphocyte count, NLR, PLR and PWR). More obvious changes before and after operation for NLR, PLR and C-reactive protein (CRP) were found in patients with POD. Multivariate logistic regression showed that benzodiazepines (OR, 7.912; 95% CI, 1.884– 33.230; p = 0.005), change of CRP (OR, 1.017; 95% CI, 1.007– 1.027; p = 0.001) and postoperative NLR (OR, 1.358; 95% CI, 1.012– 1.823; p = 0.041) were associated with POD. When the changes of NLR, PLR and PWR entered multivariate logistic regression, older age (OR, 1.073; 95% CI, 1.001– 1.149; p = 0.046), benzodiazepines (OR, 6.811; 95% CI, 1.652– 28.081; p = 0.008), greater change of CRP (OR, 1.015; 95% CI, 1.006– 1.023; p = 0.001) and greater change of NLR (OR, 1.266; 95% CI, 1.035– 1.549; p = 0.022) were associated with increased risk of POD. Postoperative NLR had high accuracy to predict POD with area under curve (AUC) of 0.790 (95% CI 0.708 to 0.872).Conclusion: Age, benzodiazepines, postoperative NLR, change of NLR and change of CRP were independent predictable markers for POD in elderly patients undergoing surgery for lower limb fracture under non-general anaesthesia. Early postoperative NLR may help to recognize POD as soon as possible.Keywords: postoperative delirium, anaesthesia method, inflammation, neutrophil-to-lymphocyte ratio, lower limb fracture</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">postoperative delirium</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">anaesthesia method</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">inflammation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">neutrophil-to-lymphocyte ratio</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">lower limb fracture</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Geriatrics</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Wang G</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">He Y</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Wang Z</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Zhang M</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Clinical Interventions in Aging</subfield><subfield code="d">Dove Medical Press, 2009</subfield><subfield code="g">(2022), Seite 383-392</subfield><subfield code="w">(DE-627)504104365</subfield><subfield code="w">(DE-600)2212420-2</subfield><subfield code="x">11781998</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">year:2022</subfield><subfield code="g">pages:383-392</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/d403d8bdf2424893b6eeec3f1a9998da</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.dovepress.com/white-cell-derived-inflammatory-biomarkers-in-prediction-of-postoperat-peer-reviewed-fulltext-article-CIA</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1178-1998</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="j">2022</subfield><subfield code="h">383-392</subfield></datafield></record></collection>
callnumber-first	R - Medicine
author	Li X
spellingShingle	Li X misc RC952-954.6 misc postoperative delirium misc anaesthesia method misc inflammation misc neutrophil-to-lymphocyte ratio misc lower limb fracture misc Geriatrics White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia
authorStr	Li X
ppnlink_with_tag_str_mv	@@773@@(DE-627)504104365
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut aut
collection	DOAJ
remote_str	true
callnumber-label	RC952-954
illustrated	Not Illustrated
issn	11781998
topic_title	RC952-954.6 White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia postoperative delirium anaesthesia method inflammation neutrophil-to-lymphocyte ratio lower limb fracture
topic	misc RC952-954.6 misc postoperative delirium misc anaesthesia method misc inflammation misc neutrophil-to-lymphocyte ratio misc lower limb fracture misc Geriatrics
topic_unstemmed	misc RC952-954.6 misc postoperative delirium misc anaesthesia method misc inflammation misc neutrophil-to-lymphocyte ratio misc lower limb fracture misc Geriatrics
topic_browse	misc RC952-954.6 misc postoperative delirium misc anaesthesia method misc inflammation misc neutrophil-to-lymphocyte ratio misc lower limb fracture misc Geriatrics
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Clinical Interventions in Aging
hierarchy_parent_id	504104365
hierarchy_top_title	Clinical Interventions in Aging
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)504104365 (DE-600)2212420-2
title	White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia
ctrlnum	(DE-627)DOAJ050952366 (DE-599)DOAJd403d8bdf2424893b6eeec3f1a9998da
title_full	White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia
author_sort	Li X
journal	Clinical Interventions in Aging
journalStr	Clinical Interventions in Aging
callnumber-first-code	R
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2022
contenttype_str_mv	txt
container_start_page	383
author_browse	Li X Wang G He Y Wang Z Zhang M
class	RC952-954.6
format_se	Elektronische Aufsätze
author-letter	Li X
author2-role	verfasserin
title_sort	white-cell derived inflammatory biomarkers in prediction of postoperative delirium in elderly patients undergoing surgery for lower limb fracture under non-general anaesthesia
callnumber	RC952-954.6
title_auth	White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia
abstract	Xiaowei Li,1,2 Gongming Wang,2 Yingxue He,2 Zhun Wang,1 Mengyuan Zhang1,2 1Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China; 2Department of Anesthesiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of ChinaCorrespondence: Mengyuan Zhang, Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China, Tel +8668776472, Email myzsdslyy126.comPurpose: The aim of this study was to investigate whether white-cell derived biomarkers could serve as potential markers in prediction of postoperative delirium (POD) after lower limb fracture.Patients and Methods: Elderly patients with surgery for lower limb fracture under non-general anaesthesia were included. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and platelet-to-white cell ratio (PWR), which were most recently measured preceding surgery and measured within 24h after surgery, were calculated. Delirium was measured with Confusion Assessment Method (CAM) once daily from preoperative day 1 to postoperative day 3 or hospital discharge.Results: The incidence of POD was 32.6% (60/184). Between patients with and those without POD, there were significant differences in preoperative hematological biomarkers (neutrophil count, lymphocyte count, NLR and PWR) and postoperative hematological biomarkers (white cell count, neutrophil count, lymphocyte count, NLR, PLR and PWR). More obvious changes before and after operation for NLR, PLR and C-reactive protein (CRP) were found in patients with POD. Multivariate logistic regression showed that benzodiazepines (OR, 7.912; 95% CI, 1.884– 33.230; p = 0.005), change of CRP (OR, 1.017; 95% CI, 1.007– 1.027; p = 0.001) and postoperative NLR (OR, 1.358; 95% CI, 1.012– 1.823; p = 0.041) were associated with POD. When the changes of NLR, PLR and PWR entered multivariate logistic regression, older age (OR, 1.073; 95% CI, 1.001– 1.149; p = 0.046), benzodiazepines (OR, 6.811; 95% CI, 1.652– 28.081; p = 0.008), greater change of CRP (OR, 1.015; 95% CI, 1.006– 1.023; p = 0.001) and greater change of NLR (OR, 1.266; 95% CI, 1.035– 1.549; p = 0.022) were associated with increased risk of POD. Postoperative NLR had high accuracy to predict POD with area under curve (AUC) of 0.790 (95% CI 0.708 to 0.872).Conclusion: Age, benzodiazepines, postoperative NLR, change of NLR and change of CRP were independent predictable markers for POD in elderly patients undergoing surgery for lower limb fracture under non-general anaesthesia. Early postoperative NLR may help to recognize POD as soon as possible.Keywords: postoperative delirium, anaesthesia method, inflammation, neutrophil-to-lymphocyte ratio, lower limb fracture
abstractGer	Xiaowei Li,1,2 Gongming Wang,2 Yingxue He,2 Zhun Wang,1 Mengyuan Zhang1,2 1Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China; 2Department of Anesthesiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of ChinaCorrespondence: Mengyuan Zhang, Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China, Tel +8668776472, Email myzsdslyy126.comPurpose: The aim of this study was to investigate whether white-cell derived biomarkers could serve as potential markers in prediction of postoperative delirium (POD) after lower limb fracture.Patients and Methods: Elderly patients with surgery for lower limb fracture under non-general anaesthesia were included. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and platelet-to-white cell ratio (PWR), which were most recently measured preceding surgery and measured within 24h after surgery, were calculated. Delirium was measured with Confusion Assessment Method (CAM) once daily from preoperative day 1 to postoperative day 3 or hospital discharge.Results: The incidence of POD was 32.6% (60/184). Between patients with and those without POD, there were significant differences in preoperative hematological biomarkers (neutrophil count, lymphocyte count, NLR and PWR) and postoperative hematological biomarkers (white cell count, neutrophil count, lymphocyte count, NLR, PLR and PWR). More obvious changes before and after operation for NLR, PLR and C-reactive protein (CRP) were found in patients with POD. Multivariate logistic regression showed that benzodiazepines (OR, 7.912; 95% CI, 1.884– 33.230; p = 0.005), change of CRP (OR, 1.017; 95% CI, 1.007– 1.027; p = 0.001) and postoperative NLR (OR, 1.358; 95% CI, 1.012– 1.823; p = 0.041) were associated with POD. When the changes of NLR, PLR and PWR entered multivariate logistic regression, older age (OR, 1.073; 95% CI, 1.001– 1.149; p = 0.046), benzodiazepines (OR, 6.811; 95% CI, 1.652– 28.081; p = 0.008), greater change of CRP (OR, 1.015; 95% CI, 1.006– 1.023; p = 0.001) and greater change of NLR (OR, 1.266; 95% CI, 1.035– 1.549; p = 0.022) were associated with increased risk of POD. Postoperative NLR had high accuracy to predict POD with area under curve (AUC) of 0.790 (95% CI 0.708 to 0.872).Conclusion: Age, benzodiazepines, postoperative NLR, change of NLR and change of CRP were independent predictable markers for POD in elderly patients undergoing surgery for lower limb fracture under non-general anaesthesia. Early postoperative NLR may help to recognize POD as soon as possible.Keywords: postoperative delirium, anaesthesia method, inflammation, neutrophil-to-lymphocyte ratio, lower limb fracture
abstract_unstemmed	Xiaowei Li,1,2 Gongming Wang,2 Yingxue He,2 Zhun Wang,1 Mengyuan Zhang1,2 1Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China; 2Department of Anesthesiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of ChinaCorrespondence: Mengyuan Zhang, Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China, Tel +8668776472, Email myzsdslyy126.comPurpose: The aim of this study was to investigate whether white-cell derived biomarkers could serve as potential markers in prediction of postoperative delirium (POD) after lower limb fracture.Patients and Methods: Elderly patients with surgery for lower limb fracture under non-general anaesthesia were included. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and platelet-to-white cell ratio (PWR), which were most recently measured preceding surgery and measured within 24h after surgery, were calculated. Delirium was measured with Confusion Assessment Method (CAM) once daily from preoperative day 1 to postoperative day 3 or hospital discharge.Results: The incidence of POD was 32.6% (60/184). Between patients with and those without POD, there were significant differences in preoperative hematological biomarkers (neutrophil count, lymphocyte count, NLR and PWR) and postoperative hematological biomarkers (white cell count, neutrophil count, lymphocyte count, NLR, PLR and PWR). More obvious changes before and after operation for NLR, PLR and C-reactive protein (CRP) were found in patients with POD. Multivariate logistic regression showed that benzodiazepines (OR, 7.912; 95% CI, 1.884– 33.230; p = 0.005), change of CRP (OR, 1.017; 95% CI, 1.007– 1.027; p = 0.001) and postoperative NLR (OR, 1.358; 95% CI, 1.012– 1.823; p = 0.041) were associated with POD. When the changes of NLR, PLR and PWR entered multivariate logistic regression, older age (OR, 1.073; 95% CI, 1.001– 1.149; p = 0.046), benzodiazepines (OR, 6.811; 95% CI, 1.652– 28.081; p = 0.008), greater change of CRP (OR, 1.015; 95% CI, 1.006– 1.023; p = 0.001) and greater change of NLR (OR, 1.266; 95% CI, 1.035– 1.549; p = 0.022) were associated with increased risk of POD. Postoperative NLR had high accuracy to predict POD with area under curve (AUC) of 0.790 (95% CI 0.708 to 0.872).Conclusion: Age, benzodiazepines, postoperative NLR, change of NLR and change of CRP were independent predictable markers for POD in elderly patients undergoing surgery for lower limb fracture under non-general anaesthesia. Early postoperative NLR may help to recognize POD as soon as possible.Keywords: postoperative delirium, anaesthesia method, inflammation, neutrophil-to-lymphocyte ratio, lower limb fracture
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
title_short	White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia
url	https://doaj.org/article/d403d8bdf2424893b6eeec3f1a9998da https://www.dovepress.com/white-cell-derived-inflammatory-biomarkers-in-prediction-of-postoperat-peer-reviewed-fulltext-article-CIA https://doaj.org/toc/1178-1998
remote_bool	true
author2	Wang G He Y Wang Z Zhang M
author2Str	Wang G He Y Wang Z Zhang M
ppnlink	504104365
callnumber-subject	RC - Internal Medicine
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
callnumber-a	RC952-954.6
up_date	2024-07-03T17:38:41.976Z
_version_	1803580417745354752
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ050952366</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308155544.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ050952366</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJd403d8bdf2424893b6eeec3f1a9998da</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC952-954.6</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Li X</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Xiaowei Li,1,2 Gongming Wang,2 Yingxue He,2 Zhun Wang,1 Mengyuan Zhang1,2 1Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China; 2Department of Anesthesiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, People’s Republic of ChinaCorrespondence: Mengyuan Zhang, Department of Anesthesiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, People’s Republic of China, Tel +8668776472, Email myzsdslyy126.comPurpose: The aim of this study was to investigate whether white-cell derived biomarkers could serve as potential markers in prediction of postoperative delirium (POD) after lower limb fracture.Patients and Methods: Elderly patients with surgery for lower limb fracture under non-general anaesthesia were included. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and platelet-to-white cell ratio (PWR), which were most recently measured preceding surgery and measured within 24h after surgery, were calculated. Delirium was measured with Confusion Assessment Method (CAM) once daily from preoperative day 1 to postoperative day 3 or hospital discharge.Results: The incidence of POD was 32.6% (60/184). Between patients with and those without POD, there were significant differences in preoperative hematological biomarkers (neutrophil count, lymphocyte count, NLR and PWR) and postoperative hematological biomarkers (white cell count, neutrophil count, lymphocyte count, NLR, PLR and PWR). More obvious changes before and after operation for NLR, PLR and C-reactive protein (CRP) were found in patients with POD. Multivariate logistic regression showed that benzodiazepines (OR, 7.912; 95% CI, 1.884– 33.230; p = 0.005), change of CRP (OR, 1.017; 95% CI, 1.007– 1.027; p = 0.001) and postoperative NLR (OR, 1.358; 95% CI, 1.012– 1.823; p = 0.041) were associated with POD. When the changes of NLR, PLR and PWR entered multivariate logistic regression, older age (OR, 1.073; 95% CI, 1.001– 1.149; p = 0.046), benzodiazepines (OR, 6.811; 95% CI, 1.652– 28.081; p = 0.008), greater change of CRP (OR, 1.015; 95% CI, 1.006– 1.023; p = 0.001) and greater change of NLR (OR, 1.266; 95% CI, 1.035– 1.549; p = 0.022) were associated with increased risk of POD. Postoperative NLR had high accuracy to predict POD with area under curve (AUC) of 0.790 (95% CI 0.708 to 0.872).Conclusion: Age, benzodiazepines, postoperative NLR, change of NLR and change of CRP were independent predictable markers for POD in elderly patients undergoing surgery for lower limb fracture under non-general anaesthesia. Early postoperative NLR may help to recognize POD as soon as possible.Keywords: postoperative delirium, anaesthesia method, inflammation, neutrophil-to-lymphocyte ratio, lower limb fracture</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">postoperative delirium</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">anaesthesia method</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">inflammation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">neutrophil-to-lymphocyte ratio</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">lower limb fracture</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Geriatrics</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Wang G</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">He Y</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Wang Z</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Zhang M</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Clinical Interventions in Aging</subfield><subfield code="d">Dove Medical Press, 2009</subfield><subfield code="g">(2022), Seite 383-392</subfield><subfield code="w">(DE-627)504104365</subfield><subfield code="w">(DE-600)2212420-2</subfield><subfield code="x">11781998</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">year:2022</subfield><subfield code="g">pages:383-392</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/d403d8bdf2424893b6eeec3f1a9998da</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.dovepress.com/white-cell-derived-inflammatory-biomarkers-in-prediction-of-postoperat-peer-reviewed-fulltext-article-CIA</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1178-1998</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="j">2022</subfield><subfield code="h">383-392</subfield></datafield></record></collection>
score	7.3983126

Nicht das Richtige dabei?

Schreiben Sie uns!

White-Cell Derived Inflammatory Biomarkers in Prediction of Postoperative Delirium in Elderly Patients Undergoing Surgery for Lower Limb Fracture Under Non-General Anaesthesia

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?