Serologic and Histologic Predictors of Long-Term Renal Outcome in Biopsy-Confirmed IgA Nephropathy (Haas Classification): An Observational Study

<i<Background and objective</i<: The Haas classification of IgA nephropathy should be validated for Asian populations. More detailed and newer predictions regarding renal outcome of IgA nephropathy remains mandatory. <i<Materials</i<: We conducted a retrospective cohort study between January 2003 and December 2013. Clinical, Pathological, and laboratory data were all collected via available medical records. A Mann−Whitney U test was used for continuous variables and the Chi-square test was implemented for categorical variables. A Kaplan−Meier curve was put in place in order to determine patient survival and renal survival. The Youden index and Cox proportional hazard regression were used to investigate the possible factors for renal survival and predictive power. <i<Results</i<: All 272 renal biopsy-confirmed IgAN patients were enrolled for further studies. The univariate analysis showed that risk factors for poor renal outcome included stage 4−5 of Haas classification (HR = 3.67, <i<p</i< < 0.001), a poor baseline renal function (HR = 1.02 and <i<p</i< < 0.001 for higher BUN; HR = 1.14 and <i<p</i< < 0.001 for higher serum creatinine; HR = 0.95, <i<p</i< < 0.001 for higher eGFR), IgG ≤ 907 (HR = 2.29, <i<p</i< = 0.003), C3 ≤ 79.7 (HR = 2.76, <i<p</i< = 0.002), a higher C4 (HR = 1.02, <i<p</i< = 0.026), neutrophil-to-lymphocyte ratio > 2.75 (HR = 2.92, <i<p</i< < 0.001), and a platelet-to-lymphocyte ratio ≥ 16.06 (HR = 2.02, <i<p</i< = 0.012). A routine-checked markers, such as neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio, in order to predict the renal outcome, is recommended. <i<Conclusions</i<: This is the first study to demonstrate that Haas classification is also useful for establishing predictive values in Asian groups. A lower serum IgG (≤907 mg/dL) and serum C3 (≤79.7 mg/dL) were both risk factors for poor renal outcome. Additionally, this is the first study to reveal that serum C4 levels, an NLR > 2.75 and a PLR > 16.06, S could suggest poor renal outcome. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Shang-Feng Tsai [verfasserIn] Ming-Ju Wu [verfasserIn] Mei-Chin Wen [verfasserIn] Cheng-Hsu Chen [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	IgA nephropathy patient outcome renal outcome

Übergeordnetes Werk:	In: Journal of Clinical Medicine - MDPI AG, 2013, 8(2019), 6, p 848
Übergeordnetes Werk:	volume:8 ; year:2019 ; number:6, p 848

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/jcm8060848

Katalog-ID:	DOAJ047249501

Internformat


LEADER	01000caa a22002652 4500
001	DOAJ047249501
003	DE-627
005	20230501181559.0
007	cr uuu---uuuuu
008	230227s2019 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.3390/jcm8060848 \|2 doi
035			\|a (DE-627)DOAJ047249501
035			\|a (DE-599)DOAJ7b67337c044b4e08ba85eae06ec85d68
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
100	0		\|a Shang-Feng Tsai \|e verfasserin \|4 aut
245	1	0	\|a Serologic and Histologic Predictors of Long-Term Renal Outcome in Biopsy-Confirmed IgA Nephropathy (Haas Classification): An Observational Study
264		1	\|c 2019
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a <i<Background and objective</i<: The Haas classification of IgA nephropathy should be validated for Asian populations. More detailed and newer predictions regarding renal outcome of IgA nephropathy remains mandatory. <i<Materials</i<: We conducted a retrospective cohort study between January 2003 and December 2013. Clinical, Pathological, and laboratory data were all collected via available medical records. A Mann−Whitney U test was used for continuous variables and the Chi-square test was implemented for categorical variables. A Kaplan−Meier curve was put in place in order to determine patient survival and renal survival. The Youden index and Cox proportional hazard regression were used to investigate the possible factors for renal survival and predictive power. <i<Results</i<: All 272 renal biopsy-confirmed IgAN patients were enrolled for further studies. The univariate analysis showed that risk factors for poor renal outcome included stage 4−5 of Haas classification (HR = 3.67, <i<p</i< < 0.001), a poor baseline renal function (HR = 1.02 and <i<p</i< < 0.001 for higher BUN; HR = 1.14 and <i<p</i< < 0.001 for higher serum creatinine; HR = 0.95, <i<p</i< < 0.001 for higher eGFR), IgG ≤ 907 (HR = 2.29, <i<p</i< = 0.003), C3 ≤ 79.7 (HR = 2.76, <i<p</i< = 0.002), a higher C4 (HR = 1.02, <i<p</i< = 0.026), neutrophil-to-lymphocyte ratio > 2.75 (HR = 2.92, <i<p</i< < 0.001), and a platelet-to-lymphocyte ratio ≥ 16.06 (HR = 2.02, <i<p</i< = 0.012). A routine-checked markers, such as neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio, in order to predict the renal outcome, is recommended. <i<Conclusions</i<: This is the first study to demonstrate that Haas classification is also useful for establishing predictive values in Asian groups. A lower serum IgG (≤907 mg/dL) and serum C3 (≤79.7 mg/dL) were both risk factors for poor renal outcome. Additionally, this is the first study to reveal that serum C4 levels, an NLR > 2.75 and a PLR > 16.06, S could suggest poor renal outcome.
650		4	\|a IgA nephropathy
650		4	\|a patient outcome
650		4	\|a renal outcome
653		0	\|a Medicine
653		0	\|a R
700	0		\|a Ming-Ju Wu \|e verfasserin \|4 aut
700	0		\|a Mei-Chin Wen \|e verfasserin \|4 aut
700	0		\|a Cheng-Hsu Chen \|e verfasserin \|4 aut
773	0	8	\|i In \|t Journal of Clinical Medicine \|d MDPI AG, 2013 \|g 8(2019), 6, p 848 \|w (DE-627)718632478 \|w (DE-600)2662592-1 \|x 20770383 \|7 nnns
773	1	8	\|g volume:8 \|g year:2019 \|g number:6, p 848
856	4	0	\|u https://doi.org/10.3390/jcm8060848 \|z kostenfrei
856	4	0	\|u https://doaj.org/article/7b67337c044b4e08ba85eae06ec85d68 \|z kostenfrei
856	4	0	\|u https://www.mdpi.com/2077-0383/8/6/848 \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/2077-0383 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a SSG-OLC-PHA
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
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_2005
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2111
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			\|d 8 \|j 2019 \|e 6, p 848

Indexfelder

author_variant	s f t sft m j w mjw m c w mcw c h c chc
matchkey_str	article:20770383:2019----::eooiaditlgcrdcosfogemeaotoenipyofreiaehoahhac
hierarchy_sort_str	2019
publishDate	2019
allfields	10.3390/jcm8060848 doi (DE-627)DOAJ047249501 (DE-599)DOAJ7b67337c044b4e08ba85eae06ec85d68 DE-627 ger DE-627 rakwb eng Shang-Feng Tsai verfasserin aut Serologic and Histologic Predictors of Long-Term Renal Outcome in Biopsy-Confirmed IgA Nephropathy (Haas Classification): An Observational Study 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <i<Background and objective</i<: The Haas classification of IgA nephropathy should be validated for Asian populations. More detailed and newer predictions regarding renal outcome of IgA nephropathy remains mandatory. <i<Materials</i<: We conducted a retrospective cohort study between January 2003 and December 2013. Clinical, Pathological, and laboratory data were all collected via available medical records. A Mann−Whitney U test was used for continuous variables and the Chi-square test was implemented for categorical variables. A Kaplan−Meier curve was put in place in order to determine patient survival and renal survival. The Youden index and Cox proportional hazard regression were used to investigate the possible factors for renal survival and predictive power. <i<Results</i<: All 272 renal biopsy-confirmed IgAN patients were enrolled for further studies. The univariate analysis showed that risk factors for poor renal outcome included stage 4−5 of Haas classification (HR = 3.67, <i<p</i< < 0.001), a poor baseline renal function (HR = 1.02 and <i<p</i< < 0.001 for higher BUN; HR = 1.14 and <i<p</i< < 0.001 for higher serum creatinine; HR = 0.95, <i<p</i< < 0.001 for higher eGFR), IgG ≤ 907 (HR = 2.29, <i<p</i< = 0.003), C3 ≤ 79.7 (HR = 2.76, <i<p</i< = 0.002), a higher C4 (HR = 1.02, <i<p</i< = 0.026), neutrophil-to-lymphocyte ratio > 2.75 (HR = 2.92, <i<p</i< < 0.001), and a platelet-to-lymphocyte ratio ≥ 16.06 (HR = 2.02, <i<p</i< = 0.012). A routine-checked markers, such as neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio, in order to predict the renal outcome, is recommended. <i<Conclusions</i<: This is the first study to demonstrate that Haas classification is also useful for establishing predictive values in Asian groups. A lower serum IgG (≤907 mg/dL) and serum C3 (≤79.7 mg/dL) were both risk factors for poor renal outcome. Additionally, this is the first study to reveal that serum C4 levels, an NLR > 2.75 and a PLR > 16.06, S could suggest poor renal outcome. IgA nephropathy patient outcome renal outcome Medicine R Ming-Ju Wu verfasserin aut Mei-Chin Wen verfasserin aut Cheng-Hsu Chen verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 8(2019), 6, p 848 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:8 year:2019 number:6, p 848 https://doi.org/10.3390/jcm8060848 kostenfrei https://doaj.org/article/7b67337c044b4e08ba85eae06ec85d68 kostenfrei https://www.mdpi.com/2077-0383/8/6/848 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 8 2019 6, p 848
spelling	10.3390/jcm8060848 doi (DE-627)DOAJ047249501 (DE-599)DOAJ7b67337c044b4e08ba85eae06ec85d68 DE-627 ger DE-627 rakwb eng Shang-Feng Tsai verfasserin aut Serologic and Histologic Predictors of Long-Term Renal Outcome in Biopsy-Confirmed IgA Nephropathy (Haas Classification): An Observational Study 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <i<Background and objective</i<: The Haas classification of IgA nephropathy should be validated for Asian populations. More detailed and newer predictions regarding renal outcome of IgA nephropathy remains mandatory. <i<Materials</i<: We conducted a retrospective cohort study between January 2003 and December 2013. Clinical, Pathological, and laboratory data were all collected via available medical records. A Mann−Whitney U test was used for continuous variables and the Chi-square test was implemented for categorical variables. A Kaplan−Meier curve was put in place in order to determine patient survival and renal survival. The Youden index and Cox proportional hazard regression were used to investigate the possible factors for renal survival and predictive power. <i<Results</i<: All 272 renal biopsy-confirmed IgAN patients were enrolled for further studies. The univariate analysis showed that risk factors for poor renal outcome included stage 4−5 of Haas classification (HR = 3.67, <i<p</i< < 0.001), a poor baseline renal function (HR = 1.02 and <i<p</i< < 0.001 for higher BUN; HR = 1.14 and <i<p</i< < 0.001 for higher serum creatinine; HR = 0.95, <i<p</i< < 0.001 for higher eGFR), IgG ≤ 907 (HR = 2.29, <i<p</i< = 0.003), C3 ≤ 79.7 (HR = 2.76, <i<p</i< = 0.002), a higher C4 (HR = 1.02, <i<p</i< = 0.026), neutrophil-to-lymphocyte ratio > 2.75 (HR = 2.92, <i<p</i< < 0.001), and a platelet-to-lymphocyte ratio ≥ 16.06 (HR = 2.02, <i<p</i< = 0.012). A routine-checked markers, such as neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio, in order to predict the renal outcome, is recommended. <i<Conclusions</i<: This is the first study to demonstrate that Haas classification is also useful for establishing predictive values in Asian groups. A lower serum IgG (≤907 mg/dL) and serum C3 (≤79.7 mg/dL) were both risk factors for poor renal outcome. Additionally, this is the first study to reveal that serum C4 levels, an NLR > 2.75 and a PLR > 16.06, S could suggest poor renal outcome. IgA nephropathy patient outcome renal outcome Medicine R Ming-Ju Wu verfasserin aut Mei-Chin Wen verfasserin aut Cheng-Hsu Chen verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 8(2019), 6, p 848 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:8 year:2019 number:6, p 848 https://doi.org/10.3390/jcm8060848 kostenfrei https://doaj.org/article/7b67337c044b4e08ba85eae06ec85d68 kostenfrei https://www.mdpi.com/2077-0383/8/6/848 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 8 2019 6, p 848
allfields_unstemmed	10.3390/jcm8060848 doi (DE-627)DOAJ047249501 (DE-599)DOAJ7b67337c044b4e08ba85eae06ec85d68 DE-627 ger DE-627 rakwb eng Shang-Feng Tsai verfasserin aut Serologic and Histologic Predictors of Long-Term Renal Outcome in Biopsy-Confirmed IgA Nephropathy (Haas Classification): An Observational Study 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <i<Background and objective</i<: The Haas classification of IgA nephropathy should be validated for Asian populations. More detailed and newer predictions regarding renal outcome of IgA nephropathy remains mandatory. <i<Materials</i<: We conducted a retrospective cohort study between January 2003 and December 2013. Clinical, Pathological, and laboratory data were all collected via available medical records. A Mann−Whitney U test was used for continuous variables and the Chi-square test was implemented for categorical variables. A Kaplan−Meier curve was put in place in order to determine patient survival and renal survival. The Youden index and Cox proportional hazard regression were used to investigate the possible factors for renal survival and predictive power. <i<Results</i<: All 272 renal biopsy-confirmed IgAN patients were enrolled for further studies. The univariate analysis showed that risk factors for poor renal outcome included stage 4−5 of Haas classification (HR = 3.67, <i<p</i< < 0.001), a poor baseline renal function (HR = 1.02 and <i<p</i< < 0.001 for higher BUN; HR = 1.14 and <i<p</i< < 0.001 for higher serum creatinine; HR = 0.95, <i<p</i< < 0.001 for higher eGFR), IgG ≤ 907 (HR = 2.29, <i<p</i< = 0.003), C3 ≤ 79.7 (HR = 2.76, <i<p</i< = 0.002), a higher C4 (HR = 1.02, <i<p</i< = 0.026), neutrophil-to-lymphocyte ratio > 2.75 (HR = 2.92, <i<p</i< < 0.001), and a platelet-to-lymphocyte ratio ≥ 16.06 (HR = 2.02, <i<p</i< = 0.012). A routine-checked markers, such as neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio, in order to predict the renal outcome, is recommended. <i<Conclusions</i<: This is the first study to demonstrate that Haas classification is also useful for establishing predictive values in Asian groups. A lower serum IgG (≤907 mg/dL) and serum C3 (≤79.7 mg/dL) were both risk factors for poor renal outcome. Additionally, this is the first study to reveal that serum C4 levels, an NLR > 2.75 and a PLR > 16.06, S could suggest poor renal outcome. IgA nephropathy patient outcome renal outcome Medicine R Ming-Ju Wu verfasserin aut Mei-Chin Wen verfasserin aut Cheng-Hsu Chen verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 8(2019), 6, p 848 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:8 year:2019 number:6, p 848 https://doi.org/10.3390/jcm8060848 kostenfrei https://doaj.org/article/7b67337c044b4e08ba85eae06ec85d68 kostenfrei https://www.mdpi.com/2077-0383/8/6/848 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 8 2019 6, p 848
allfieldsGer	10.3390/jcm8060848 doi (DE-627)DOAJ047249501 (DE-599)DOAJ7b67337c044b4e08ba85eae06ec85d68 DE-627 ger DE-627 rakwb eng Shang-Feng Tsai verfasserin aut Serologic and Histologic Predictors of Long-Term Renal Outcome in Biopsy-Confirmed IgA Nephropathy (Haas Classification): An Observational Study 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <i<Background and objective</i<: The Haas classification of IgA nephropathy should be validated for Asian populations. More detailed and newer predictions regarding renal outcome of IgA nephropathy remains mandatory. <i<Materials</i<: We conducted a retrospective cohort study between January 2003 and December 2013. Clinical, Pathological, and laboratory data were all collected via available medical records. A Mann−Whitney U test was used for continuous variables and the Chi-square test was implemented for categorical variables. A Kaplan−Meier curve was put in place in order to determine patient survival and renal survival. The Youden index and Cox proportional hazard regression were used to investigate the possible factors for renal survival and predictive power. <i<Results</i<: All 272 renal biopsy-confirmed IgAN patients were enrolled for further studies. The univariate analysis showed that risk factors for poor renal outcome included stage 4−5 of Haas classification (HR = 3.67, <i<p</i< < 0.001), a poor baseline renal function (HR = 1.02 and <i<p</i< < 0.001 for higher BUN; HR = 1.14 and <i<p</i< < 0.001 for higher serum creatinine; HR = 0.95, <i<p</i< < 0.001 for higher eGFR), IgG ≤ 907 (HR = 2.29, <i<p</i< = 0.003), C3 ≤ 79.7 (HR = 2.76, <i<p</i< = 0.002), a higher C4 (HR = 1.02, <i<p</i< = 0.026), neutrophil-to-lymphocyte ratio > 2.75 (HR = 2.92, <i<p</i< < 0.001), and a platelet-to-lymphocyte ratio ≥ 16.06 (HR = 2.02, <i<p</i< = 0.012). A routine-checked markers, such as neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio, in order to predict the renal outcome, is recommended. <i<Conclusions</i<: This is the first study to demonstrate that Haas classification is also useful for establishing predictive values in Asian groups. A lower serum IgG (≤907 mg/dL) and serum C3 (≤79.7 mg/dL) were both risk factors for poor renal outcome. Additionally, this is the first study to reveal that serum C4 levels, an NLR > 2.75 and a PLR > 16.06, S could suggest poor renal outcome. IgA nephropathy patient outcome renal outcome Medicine R Ming-Ju Wu verfasserin aut Mei-Chin Wen verfasserin aut Cheng-Hsu Chen verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 8(2019), 6, p 848 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:8 year:2019 number:6, p 848 https://doi.org/10.3390/jcm8060848 kostenfrei https://doaj.org/article/7b67337c044b4e08ba85eae06ec85d68 kostenfrei https://www.mdpi.com/2077-0383/8/6/848 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 8 2019 6, p 848
allfieldsSound	10.3390/jcm8060848 doi (DE-627)DOAJ047249501 (DE-599)DOAJ7b67337c044b4e08ba85eae06ec85d68 DE-627 ger DE-627 rakwb eng Shang-Feng Tsai verfasserin aut Serologic and Histologic Predictors of Long-Term Renal Outcome in Biopsy-Confirmed IgA Nephropathy (Haas Classification): An Observational Study 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <i<Background and objective</i<: The Haas classification of IgA nephropathy should be validated for Asian populations. More detailed and newer predictions regarding renal outcome of IgA nephropathy remains mandatory. <i<Materials</i<: We conducted a retrospective cohort study between January 2003 and December 2013. Clinical, Pathological, and laboratory data were all collected via available medical records. A Mann−Whitney U test was used for continuous variables and the Chi-square test was implemented for categorical variables. A Kaplan−Meier curve was put in place in order to determine patient survival and renal survival. The Youden index and Cox proportional hazard regression were used to investigate the possible factors for renal survival and predictive power. <i<Results</i<: All 272 renal biopsy-confirmed IgAN patients were enrolled for further studies. The univariate analysis showed that risk factors for poor renal outcome included stage 4−5 of Haas classification (HR = 3.67, <i<p</i< < 0.001), a poor baseline renal function (HR = 1.02 and <i<p</i< < 0.001 for higher BUN; HR = 1.14 and <i<p</i< < 0.001 for higher serum creatinine; HR = 0.95, <i<p</i< < 0.001 for higher eGFR), IgG ≤ 907 (HR = 2.29, <i<p</i< = 0.003), C3 ≤ 79.7 (HR = 2.76, <i<p</i< = 0.002), a higher C4 (HR = 1.02, <i<p</i< = 0.026), neutrophil-to-lymphocyte ratio > 2.75 (HR = 2.92, <i<p</i< < 0.001), and a platelet-to-lymphocyte ratio ≥ 16.06 (HR = 2.02, <i<p</i< = 0.012). A routine-checked markers, such as neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio, in order to predict the renal outcome, is recommended. <i<Conclusions</i<: This is the first study to demonstrate that Haas classification is also useful for establishing predictive values in Asian groups. A lower serum IgG (≤907 mg/dL) and serum C3 (≤79.7 mg/dL) were both risk factors for poor renal outcome. Additionally, this is the first study to reveal that serum C4 levels, an NLR > 2.75 and a PLR > 16.06, S could suggest poor renal outcome. IgA nephropathy patient outcome renal outcome Medicine R Ming-Ju Wu verfasserin aut Mei-Chin Wen verfasserin aut Cheng-Hsu Chen verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 8(2019), 6, p 848 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:8 year:2019 number:6, p 848 https://doi.org/10.3390/jcm8060848 kostenfrei https://doaj.org/article/7b67337c044b4e08ba85eae06ec85d68 kostenfrei https://www.mdpi.com/2077-0383/8/6/848 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 8 2019 6, p 848
language	English
source	In Journal of Clinical Medicine 8(2019), 6, p 848 volume:8 year:2019 number:6, p 848
sourceStr	In Journal of Clinical Medicine 8(2019), 6, p 848 volume:8 year:2019 number:6, p 848
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	IgA nephropathy patient outcome renal outcome Medicine R
isfreeaccess_bool	true
container_title	Journal of Clinical Medicine
authorswithroles_txt_mv	Shang-Feng Tsai @@aut@@ Ming-Ju Wu @@aut@@ Mei-Chin Wen @@aut@@ Cheng-Hsu Chen @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	718632478
id	DOAJ047249501
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">DOAJ047249501</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230501181559.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2019 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3390/jcm8060848</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ047249501</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ7b67337c044b4e08ba85eae06ec85d68</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="100" ind1="0" ind2=" "><subfield code="a">Shang-Feng Tsai</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Serologic and Histologic Predictors of Long-Term Renal Outcome in Biopsy-Confirmed IgA Nephropathy (Haas Classification): An Observational Study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</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"><i<Background and objective</i<: The Haas classification of IgA nephropathy should be validated for Asian populations. More detailed and newer predictions regarding renal outcome of IgA nephropathy remains mandatory. <i<Materials</i<: We conducted a retrospective cohort study between January 2003 and December 2013. Clinical, Pathological, and laboratory data were all collected via available medical records. A Mann−Whitney U test was used for continuous variables and the Chi-square test was implemented for categorical variables. A Kaplan−Meier curve was put in place in order to determine patient survival and renal survival. The Youden index and Cox proportional hazard regression were used to investigate the possible factors for renal survival and predictive power. <i<Results</i<: All 272 renal biopsy-confirmed IgAN patients were enrolled for further studies. The univariate analysis showed that risk factors for poor renal outcome included stage 4−5 of Haas classification (HR = 3.67, <i<p</i< &lt; 0.001), a poor baseline renal function (HR = 1.02 and <i<p</i< &lt; 0.001 for higher BUN; HR = 1.14 and <i<p</i< &lt; 0.001 for higher serum creatinine; HR = 0.95, <i<p</i< &lt; 0.001 for higher eGFR), IgG ≤ 907 (HR = 2.29, <i<p</i< = 0.003), C3 ≤ 79.7 (HR = 2.76, <i<p</i< = 0.002), a higher C4 (HR = 1.02, <i<p</i< = 0.026), neutrophil-to-lymphocyte ratio &gt; 2.75 (HR = 2.92, <i<p</i< &lt; 0.001), and a platelet-to-lymphocyte ratio ≥ 16.06 (HR = 2.02, <i<p</i< = 0.012). A routine-checked markers, such as neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio, in order to predict the renal outcome, is recommended. <i<Conclusions</i<: This is the first study to demonstrate that Haas classification is also useful for establishing predictive values in Asian groups. A lower serum IgG (≤907 mg/dL) and serum C3 (≤79.7 mg/dL) were both risk factors for poor renal outcome. Additionally, this is the first study to reveal that serum C4 levels, an NLR &gt; 2.75 and a PLR &gt; 16.06, S could suggest poor renal outcome.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">IgA nephropathy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">patient outcome</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">renal outcome</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Medicine</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">R</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ming-Ju Wu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mei-Chin Wen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Cheng-Hsu Chen</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">Journal of Clinical Medicine</subfield><subfield code="d">MDPI AG, 2013</subfield><subfield code="g">8(2019), 6, p 848</subfield><subfield code="w">(DE-627)718632478</subfield><subfield code="w">(DE-600)2662592-1</subfield><subfield code="x">20770383</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:8</subfield><subfield code="g">year:2019</subfield><subfield code="g">number:6, p 848</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3390/jcm8060848</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/7b67337c044b4e08ba85eae06ec85d68</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.mdpi.com/2077-0383/8/6/848</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2077-0383</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">SSG-OLC-PHA</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_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_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</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_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</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="d">8</subfield><subfield code="j">2019</subfield><subfield code="e">6, p 848</subfield></datafield></record></collection>
author	Shang-Feng Tsai
spellingShingle	Shang-Feng Tsai misc IgA nephropathy misc patient outcome misc renal outcome misc Medicine misc R Serologic and Histologic Predictors of Long-Term Renal Outcome in Biopsy-Confirmed IgA Nephropathy (Haas Classification): An Observational Study
authorStr	Shang-Feng Tsai
ppnlink_with_tag_str_mv	@@773@@(DE-627)718632478
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut
collection	DOAJ
remote_str	true
illustrated	Not Illustrated
issn	20770383
topic_title	Serologic and Histologic Predictors of Long-Term Renal Outcome in Biopsy-Confirmed IgA Nephropathy (Haas Classification): An Observational Study IgA nephropathy patient outcome renal outcome
topic	misc IgA nephropathy misc patient outcome misc renal outcome misc Medicine misc R
topic_unstemmed	misc IgA nephropathy misc patient outcome misc renal outcome misc Medicine misc R
topic_browse	misc IgA nephropathy misc patient outcome misc renal outcome misc Medicine misc R
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Journal of Clinical Medicine
hierarchy_parent_id	718632478
hierarchy_top_title	Journal of Clinical Medicine
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)718632478 (DE-600)2662592-1
title	Serologic and Histologic Predictors of Long-Term Renal Outcome in Biopsy-Confirmed IgA Nephropathy (Haas Classification): An Observational Study
ctrlnum	(DE-627)DOAJ047249501 (DE-599)DOAJ7b67337c044b4e08ba85eae06ec85d68
title_full	Serologic and Histologic Predictors of Long-Term Renal Outcome in Biopsy-Confirmed IgA Nephropathy (Haas Classification): An Observational Study
author_sort	Shang-Feng Tsai
journal	Journal of Clinical Medicine
journalStr	Journal of Clinical Medicine
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2019
contenttype_str_mv	txt
author_browse	Shang-Feng Tsai Ming-Ju Wu Mei-Chin Wen Cheng-Hsu Chen
container_volume	8
format_se	Elektronische Aufsätze
author-letter	Shang-Feng Tsai
doi_str_mv	10.3390/jcm8060848
author2-role	verfasserin
title_sort	serologic and histologic predictors of long-term renal outcome in biopsy-confirmed iga nephropathy (haas classification): an observational study
title_auth	Serologic and Histologic Predictors of Long-Term Renal Outcome in Biopsy-Confirmed IgA Nephropathy (Haas Classification): An Observational Study
abstract	<i<Background and objective</i<: The Haas classification of IgA nephropathy should be validated for Asian populations. More detailed and newer predictions regarding renal outcome of IgA nephropathy remains mandatory. <i<Materials</i<: We conducted a retrospective cohort study between January 2003 and December 2013. Clinical, Pathological, and laboratory data were all collected via available medical records. A Mann−Whitney U test was used for continuous variables and the Chi-square test was implemented for categorical variables. A Kaplan−Meier curve was put in place in order to determine patient survival and renal survival. The Youden index and Cox proportional hazard regression were used to investigate the possible factors for renal survival and predictive power. <i<Results</i<: All 272 renal biopsy-confirmed IgAN patients were enrolled for further studies. The univariate analysis showed that risk factors for poor renal outcome included stage 4−5 of Haas classification (HR = 3.67, <i<p</i< < 0.001), a poor baseline renal function (HR = 1.02 and <i<p</i< < 0.001 for higher BUN; HR = 1.14 and <i<p</i< < 0.001 for higher serum creatinine; HR = 0.95, <i<p</i< < 0.001 for higher eGFR), IgG ≤ 907 (HR = 2.29, <i<p</i< = 0.003), C3 ≤ 79.7 (HR = 2.76, <i<p</i< = 0.002), a higher C4 (HR = 1.02, <i<p</i< = 0.026), neutrophil-to-lymphocyte ratio > 2.75 (HR = 2.92, <i<p</i< < 0.001), and a platelet-to-lymphocyte ratio ≥ 16.06 (HR = 2.02, <i<p</i< = 0.012). A routine-checked markers, such as neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio, in order to predict the renal outcome, is recommended. <i<Conclusions</i<: This is the first study to demonstrate that Haas classification is also useful for establishing predictive values in Asian groups. A lower serum IgG (≤907 mg/dL) and serum C3 (≤79.7 mg/dL) were both risk factors for poor renal outcome. Additionally, this is the first study to reveal that serum C4 levels, an NLR > 2.75 and a PLR > 16.06, S could suggest poor renal outcome.
abstractGer	<i<Background and objective</i<: The Haas classification of IgA nephropathy should be validated for Asian populations. More detailed and newer predictions regarding renal outcome of IgA nephropathy remains mandatory. <i<Materials</i<: We conducted a retrospective cohort study between January 2003 and December 2013. Clinical, Pathological, and laboratory data were all collected via available medical records. A Mann−Whitney U test was used for continuous variables and the Chi-square test was implemented for categorical variables. A Kaplan−Meier curve was put in place in order to determine patient survival and renal survival. The Youden index and Cox proportional hazard regression were used to investigate the possible factors for renal survival and predictive power. <i<Results</i<: All 272 renal biopsy-confirmed IgAN patients were enrolled for further studies. The univariate analysis showed that risk factors for poor renal outcome included stage 4−5 of Haas classification (HR = 3.67, <i<p</i< < 0.001), a poor baseline renal function (HR = 1.02 and <i<p</i< < 0.001 for higher BUN; HR = 1.14 and <i<p</i< < 0.001 for higher serum creatinine; HR = 0.95, <i<p</i< < 0.001 for higher eGFR), IgG ≤ 907 (HR = 2.29, <i<p</i< = 0.003), C3 ≤ 79.7 (HR = 2.76, <i<p</i< = 0.002), a higher C4 (HR = 1.02, <i<p</i< = 0.026), neutrophil-to-lymphocyte ratio > 2.75 (HR = 2.92, <i<p</i< < 0.001), and a platelet-to-lymphocyte ratio ≥ 16.06 (HR = 2.02, <i<p</i< = 0.012). A routine-checked markers, such as neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio, in order to predict the renal outcome, is recommended. <i<Conclusions</i<: This is the first study to demonstrate that Haas classification is also useful for establishing predictive values in Asian groups. A lower serum IgG (≤907 mg/dL) and serum C3 (≤79.7 mg/dL) were both risk factors for poor renal outcome. Additionally, this is the first study to reveal that serum C4 levels, an NLR > 2.75 and a PLR > 16.06, S could suggest poor renal outcome.
abstract_unstemmed	<i<Background and objective</i<: The Haas classification of IgA nephropathy should be validated for Asian populations. More detailed and newer predictions regarding renal outcome of IgA nephropathy remains mandatory. <i<Materials</i<: We conducted a retrospective cohort study between January 2003 and December 2013. Clinical, Pathological, and laboratory data were all collected via available medical records. A Mann−Whitney U test was used for continuous variables and the Chi-square test was implemented for categorical variables. A Kaplan−Meier curve was put in place in order to determine patient survival and renal survival. The Youden index and Cox proportional hazard regression were used to investigate the possible factors for renal survival and predictive power. <i<Results</i<: All 272 renal biopsy-confirmed IgAN patients were enrolled for further studies. The univariate analysis showed that risk factors for poor renal outcome included stage 4−5 of Haas classification (HR = 3.67, <i<p</i< < 0.001), a poor baseline renal function (HR = 1.02 and <i<p</i< < 0.001 for higher BUN; HR = 1.14 and <i<p</i< < 0.001 for higher serum creatinine; HR = 0.95, <i<p</i< < 0.001 for higher eGFR), IgG ≤ 907 (HR = 2.29, <i<p</i< = 0.003), C3 ≤ 79.7 (HR = 2.76, <i<p</i< = 0.002), a higher C4 (HR = 1.02, <i<p</i< = 0.026), neutrophil-to-lymphocyte ratio > 2.75 (HR = 2.92, <i<p</i< < 0.001), and a platelet-to-lymphocyte ratio ≥ 16.06 (HR = 2.02, <i<p</i< = 0.012). A routine-checked markers, such as neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio, in order to predict the renal outcome, is recommended. <i<Conclusions</i<: This is the first study to demonstrate that Haas classification is also useful for establishing predictive values in Asian groups. A lower serum IgG (≤907 mg/dL) and serum C3 (≤79.7 mg/dL) were both risk factors for poor renal outcome. Additionally, this is the first study to reveal that serum C4 levels, an NLR > 2.75 and a PLR > 16.06, S could suggest poor renal outcome.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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
container_issue	6, p 848
title_short	Serologic and Histologic Predictors of Long-Term Renal Outcome in Biopsy-Confirmed IgA Nephropathy (Haas Classification): An Observational Study
url	https://doi.org/10.3390/jcm8060848 https://doaj.org/article/7b67337c044b4e08ba85eae06ec85d68 https://www.mdpi.com/2077-0383/8/6/848 https://doaj.org/toc/2077-0383
remote_bool	true
author2	Ming-Ju Wu Mei-Chin Wen Cheng-Hsu Chen
author2Str	Ming-Ju Wu Mei-Chin Wen Cheng-Hsu Chen
ppnlink	718632478
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.3390/jcm8060848
up_date	2024-07-04T00:36:38.401Z
_version_	1803606712283824128
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">DOAJ047249501</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230501181559.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2019 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3390/jcm8060848</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ047249501</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ7b67337c044b4e08ba85eae06ec85d68</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="100" ind1="0" ind2=" "><subfield code="a">Shang-Feng Tsai</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Serologic and Histologic Predictors of Long-Term Renal Outcome in Biopsy-Confirmed IgA Nephropathy (Haas Classification): An Observational Study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</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"><i<Background and objective</i<: The Haas classification of IgA nephropathy should be validated for Asian populations. More detailed and newer predictions regarding renal outcome of IgA nephropathy remains mandatory. <i<Materials</i<: We conducted a retrospective cohort study between January 2003 and December 2013. Clinical, Pathological, and laboratory data were all collected via available medical records. A Mann−Whitney U test was used for continuous variables and the Chi-square test was implemented for categorical variables. A Kaplan−Meier curve was put in place in order to determine patient survival and renal survival. The Youden index and Cox proportional hazard regression were used to investigate the possible factors for renal survival and predictive power. <i<Results</i<: All 272 renal biopsy-confirmed IgAN patients were enrolled for further studies. The univariate analysis showed that risk factors for poor renal outcome included stage 4−5 of Haas classification (HR = 3.67, <i<p</i< &lt; 0.001), a poor baseline renal function (HR = 1.02 and <i<p</i< &lt; 0.001 for higher BUN; HR = 1.14 and <i<p</i< &lt; 0.001 for higher serum creatinine; HR = 0.95, <i<p</i< &lt; 0.001 for higher eGFR), IgG ≤ 907 (HR = 2.29, <i<p</i< = 0.003), C3 ≤ 79.7 (HR = 2.76, <i<p</i< = 0.002), a higher C4 (HR = 1.02, <i<p</i< = 0.026), neutrophil-to-lymphocyte ratio &gt; 2.75 (HR = 2.92, <i<p</i< &lt; 0.001), and a platelet-to-lymphocyte ratio ≥ 16.06 (HR = 2.02, <i<p</i< = 0.012). A routine-checked markers, such as neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio, in order to predict the renal outcome, is recommended. <i<Conclusions</i<: This is the first study to demonstrate that Haas classification is also useful for establishing predictive values in Asian groups. A lower serum IgG (≤907 mg/dL) and serum C3 (≤79.7 mg/dL) were both risk factors for poor renal outcome. Additionally, this is the first study to reveal that serum C4 levels, an NLR &gt; 2.75 and a PLR &gt; 16.06, S could suggest poor renal outcome.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">IgA nephropathy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">patient outcome</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">renal outcome</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Medicine</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">R</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ming-Ju Wu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mei-Chin Wen</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Cheng-Hsu Chen</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">Journal of Clinical Medicine</subfield><subfield code="d">MDPI AG, 2013</subfield><subfield code="g">8(2019), 6, p 848</subfield><subfield code="w">(DE-627)718632478</subfield><subfield code="w">(DE-600)2662592-1</subfield><subfield code="x">20770383</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:8</subfield><subfield code="g">year:2019</subfield><subfield code="g">number:6, p 848</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3390/jcm8060848</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/7b67337c044b4e08ba85eae06ec85d68</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.mdpi.com/2077-0383/8/6/848</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2077-0383</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">SSG-OLC-PHA</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_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_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</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_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</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="d">8</subfield><subfield code="j">2019</subfield><subfield code="e">6, p 848</subfield></datafield></record></collection>
score	7.3985004

Nicht das Richtige dabei?

Schreiben Sie uns!

Serologic and Histologic Predictors of Long-Term Renal Outcome in Biopsy-Confirmed IgA Nephropathy (Haas Classification): An Observational Study

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?