The Role of Innate Immune Cells in the Prediction of Early Renal Allograft Injury Following Kidney Transplantation
Background: Despite recent advances and refinements in perioperative management of kidney transplantation (KT), early renal graft injury (eRGI) remains a critical problem with serious impairment of graft function as well as short- and long-term outcome. Serial monitoring of peripheral blood innate i...
Ausführliche Beschreibung
Autor*in: |
Nora Jahn [verfasserIn] Ulrich Sack [verfasserIn] Sebastian Stehr [verfasserIn] Maria Theresa Vöelker [verfasserIn] Sven Laudi [verfasserIn] Daniel Seehofer [verfasserIn] Selim Atay [verfasserIn] Panagiota Zgoura [verfasserIn] Richard Viebahn [verfasserIn] Andreas Boldt [verfasserIn] Hans-Michael Hau [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2022 |
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In: Journal of Clinical Medicine - MDPI AG, 2013, 11(2022), 20, p 6148 |
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Übergeordnetes Werk: |
volume:11 ; year:2022 ; number:20, p 6148 |
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DOI / URN: |
10.3390/jcm11206148 |
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Katalog-ID: |
DOAJ02092187X |
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520 | |a Background: Despite recent advances and refinements in perioperative management of kidney transplantation (KT), early renal graft injury (eRGI) remains a critical problem with serious impairment of graft function as well as short- and long-term outcome. Serial monitoring of peripheral blood innate immune cells might be a useful tool in predicting post-transplant eRGI and graft outcome after KT. Methods: In this prospective study, medical data of 50 consecutive patients undergoing KT at the University Hospital of Leipzig were analyzed starting at the day of KT until day 10 after the transplantation. The main outcome parameter was the occurrence of eRGI and other outcome parameters associated with graft function/outcome. eRGI was defined as graft-related complications and clinical signs of renal IRI (ischemia reperfusion injury), such as acute tubular necrosis (ATN), delayed graft function (DGF), initial nonfunction (INF) and graft rejection within 3 months following KT. Typical innate immune cells including neutrophils, natural killer (NK) cells, monocytes, basophils and dendritic cells (myeloid, plasmacytoid) were measured in all patients in peripheral blood at day 0, 1, 3, 7 and 10 after the transplantation. Receiver operating characteristics (ROC) curves were performed to assess their predictive value for eRGI. Cutoff levels were calculated with the Youden index. Significant diagnostic immunological cutoffs and other prognostic clinical factors were tested in a multivariate logistic regression model. Results: Of the 50 included patients, 23 patients developed eRGI. Mean levels of neutrophils and monocytes were significantly higher on most days in the eRGI group compared to the non-eRGI group after transplantation, whereas a significant decrease in NK cell count, basophil levels and DC counts could be found between baseline and postoperative course. ROC analysis indicated that monocytes levels on POD 7 (AUC: 0.91) and NK cell levels on POD 7 (AUC: 0.92) were highly predictive for eRGI after KT. Multivariable analysis identified recipient age (OR 1.53 (95% CI: 1.003–2.350), <i<p</i< = 0.040), recipient body mass index < 25 kg/m<sup<2</sup< (OR 5.6 (95% CI: 1.36–23.9), <i<p</i< = 0.015), recipient cardiovascular disease (OR 8.17 (95% CI: 1.28–52.16), <i<p</i< = 0.026), donor age (OR 1.068 (95% CI: 1.011–1.128), <i<p</i< = 0.027), <0.010), deceased-donor transplantation (OR 2.18 (95% CI: 1.091–4.112), <i<p</i< = 0.027) and cold ischemia time (CIT) of the renal graft (OR 1.005 (95% CI: 1.001–1.01), <i<p</i< = 0.019) as clinically relevant prognostic factors associated with increased eRGI following KT. Further, neutrophils < 9.4 × 10<sup<3</sup</μL on POD 7 (OR 16.1 (95% CI: 1.31–195.6), <i<p</i< = 0.031), monocytes < 1150 cells/ul on POD 7 (OR 7.81 (95% CI: 1.97–63.18), <i<p</i< = 0.048), NK cells < 125 cells/μL on POD 3 (OR 6.97 (95% CI: 3.81–12.7), <i<p</i< < 0.01), basophils < 18.1 cells/μL on POD 10 (OR 3.45 (95% CI: 1.37–12.3), <i<p</i< = 0.02) and mDC < 4.7 cells/μL on POD 7 (OR 11.68 (95% CI: 1.85–73.4), <i<p</i< < 0.01) were revealed as independent biochemical predictive variables for eRGI after KT. Conclusions: We show that the combined measurement of immunological innate variables (NK cells and monocytes on POD 7) and specific clinical factors such as prolonged CIT, increased donor and recipient age and morbidity together with deceased-donor transplantation were significant and specific predictors of eRGI following KT. We suggest that intensified monitoring of these parameters might be a helpful clinical tool in identifying patients at a higher risk of postoperative complication after KT and may therefore help to detect and—by diligent clinical management—even prevent deteriorated outcome due to IRI and eRGI after KT. | ||
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700 | 0 | |a Hans-Michael Hau |e verfasserin |4 aut | |
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10.3390/jcm11206148 doi (DE-627)DOAJ02092187X (DE-599)DOAJbd81a86eb99b477a918d23c76079c35e DE-627 ger DE-627 rakwb eng Nora Jahn verfasserin aut The Role of Innate Immune Cells in the Prediction of Early Renal Allograft Injury Following Kidney Transplantation 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Despite recent advances and refinements in perioperative management of kidney transplantation (KT), early renal graft injury (eRGI) remains a critical problem with serious impairment of graft function as well as short- and long-term outcome. Serial monitoring of peripheral blood innate immune cells might be a useful tool in predicting post-transplant eRGI and graft outcome after KT. Methods: In this prospective study, medical data of 50 consecutive patients undergoing KT at the University Hospital of Leipzig were analyzed starting at the day of KT until day 10 after the transplantation. The main outcome parameter was the occurrence of eRGI and other outcome parameters associated with graft function/outcome. eRGI was defined as graft-related complications and clinical signs of renal IRI (ischemia reperfusion injury), such as acute tubular necrosis (ATN), delayed graft function (DGF), initial nonfunction (INF) and graft rejection within 3 months following KT. Typical innate immune cells including neutrophils, natural killer (NK) cells, monocytes, basophils and dendritic cells (myeloid, plasmacytoid) were measured in all patients in peripheral blood at day 0, 1, 3, 7 and 10 after the transplantation. Receiver operating characteristics (ROC) curves were performed to assess their predictive value for eRGI. Cutoff levels were calculated with the Youden index. Significant diagnostic immunological cutoffs and other prognostic clinical factors were tested in a multivariate logistic regression model. Results: Of the 50 included patients, 23 patients developed eRGI. Mean levels of neutrophils and monocytes were significantly higher on most days in the eRGI group compared to the non-eRGI group after transplantation, whereas a significant decrease in NK cell count, basophil levels and DC counts could be found between baseline and postoperative course. ROC analysis indicated that monocytes levels on POD 7 (AUC: 0.91) and NK cell levels on POD 7 (AUC: 0.92) were highly predictive for eRGI after KT. Multivariable analysis identified recipient age (OR 1.53 (95% CI: 1.003–2.350), <i<p</i< = 0.040), recipient body mass index < 25 kg/m<sup<2</sup< (OR 5.6 (95% CI: 1.36–23.9), <i<p</i< = 0.015), recipient cardiovascular disease (OR 8.17 (95% CI: 1.28–52.16), <i<p</i< = 0.026), donor age (OR 1.068 (95% CI: 1.011–1.128), <i<p</i< = 0.027), <0.010), deceased-donor transplantation (OR 2.18 (95% CI: 1.091–4.112), <i<p</i< = 0.027) and cold ischemia time (CIT) of the renal graft (OR 1.005 (95% CI: 1.001–1.01), <i<p</i< = 0.019) as clinically relevant prognostic factors associated with increased eRGI following KT. Further, neutrophils < 9.4 × 10<sup<3</sup</μL on POD 7 (OR 16.1 (95% CI: 1.31–195.6), <i<p</i< = 0.031), monocytes < 1150 cells/ul on POD 7 (OR 7.81 (95% CI: 1.97–63.18), <i<p</i< = 0.048), NK cells < 125 cells/μL on POD 3 (OR 6.97 (95% CI: 3.81–12.7), <i<p</i< < 0.01), basophils < 18.1 cells/μL on POD 10 (OR 3.45 (95% CI: 1.37–12.3), <i<p</i< = 0.02) and mDC < 4.7 cells/μL on POD 7 (OR 11.68 (95% CI: 1.85–73.4), <i<p</i< < 0.01) were revealed as independent biochemical predictive variables for eRGI after KT. Conclusions: We show that the combined measurement of immunological innate variables (NK cells and monocytes on POD 7) and specific clinical factors such as prolonged CIT, increased donor and recipient age and morbidity together with deceased-donor transplantation were significant and specific predictors of eRGI following KT. We suggest that intensified monitoring of these parameters might be a helpful clinical tool in identifying patients at a higher risk of postoperative complication after KT and may therefore help to detect and—by diligent clinical management—even prevent deteriorated outcome due to IRI and eRGI after KT. kidney transplantation ischemia reperfusion injury immunological monitoring biomarker graft outcome graft function Medicine R Ulrich Sack verfasserin aut Sebastian Stehr verfasserin aut Maria Theresa Vöelker verfasserin aut Sven Laudi verfasserin aut Daniel Seehofer verfasserin aut Selim Atay verfasserin aut Panagiota Zgoura verfasserin aut Richard Viebahn verfasserin aut Andreas Boldt verfasserin aut Hans-Michael Hau verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 11(2022), 20, p 6148 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:11 year:2022 number:20, p 6148 https://doi.org/10.3390/jcm11206148 kostenfrei https://doaj.org/article/bd81a86eb99b477a918d23c76079c35e kostenfrei https://www.mdpi.com/2077-0383/11/20/6148 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 11 2022 20, p 6148 |
spelling |
10.3390/jcm11206148 doi (DE-627)DOAJ02092187X (DE-599)DOAJbd81a86eb99b477a918d23c76079c35e DE-627 ger DE-627 rakwb eng Nora Jahn verfasserin aut The Role of Innate Immune Cells in the Prediction of Early Renal Allograft Injury Following Kidney Transplantation 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Despite recent advances and refinements in perioperative management of kidney transplantation (KT), early renal graft injury (eRGI) remains a critical problem with serious impairment of graft function as well as short- and long-term outcome. Serial monitoring of peripheral blood innate immune cells might be a useful tool in predicting post-transplant eRGI and graft outcome after KT. Methods: In this prospective study, medical data of 50 consecutive patients undergoing KT at the University Hospital of Leipzig were analyzed starting at the day of KT until day 10 after the transplantation. The main outcome parameter was the occurrence of eRGI and other outcome parameters associated with graft function/outcome. eRGI was defined as graft-related complications and clinical signs of renal IRI (ischemia reperfusion injury), such as acute tubular necrosis (ATN), delayed graft function (DGF), initial nonfunction (INF) and graft rejection within 3 months following KT. Typical innate immune cells including neutrophils, natural killer (NK) cells, monocytes, basophils and dendritic cells (myeloid, plasmacytoid) were measured in all patients in peripheral blood at day 0, 1, 3, 7 and 10 after the transplantation. Receiver operating characteristics (ROC) curves were performed to assess their predictive value for eRGI. Cutoff levels were calculated with the Youden index. Significant diagnostic immunological cutoffs and other prognostic clinical factors were tested in a multivariate logistic regression model. Results: Of the 50 included patients, 23 patients developed eRGI. Mean levels of neutrophils and monocytes were significantly higher on most days in the eRGI group compared to the non-eRGI group after transplantation, whereas a significant decrease in NK cell count, basophil levels and DC counts could be found between baseline and postoperative course. ROC analysis indicated that monocytes levels on POD 7 (AUC: 0.91) and NK cell levels on POD 7 (AUC: 0.92) were highly predictive for eRGI after KT. Multivariable analysis identified recipient age (OR 1.53 (95% CI: 1.003–2.350), <i<p</i< = 0.040), recipient body mass index < 25 kg/m<sup<2</sup< (OR 5.6 (95% CI: 1.36–23.9), <i<p</i< = 0.015), recipient cardiovascular disease (OR 8.17 (95% CI: 1.28–52.16), <i<p</i< = 0.026), donor age (OR 1.068 (95% CI: 1.011–1.128), <i<p</i< = 0.027), <0.010), deceased-donor transplantation (OR 2.18 (95% CI: 1.091–4.112), <i<p</i< = 0.027) and cold ischemia time (CIT) of the renal graft (OR 1.005 (95% CI: 1.001–1.01), <i<p</i< = 0.019) as clinically relevant prognostic factors associated with increased eRGI following KT. Further, neutrophils < 9.4 × 10<sup<3</sup</μL on POD 7 (OR 16.1 (95% CI: 1.31–195.6), <i<p</i< = 0.031), monocytes < 1150 cells/ul on POD 7 (OR 7.81 (95% CI: 1.97–63.18), <i<p</i< = 0.048), NK cells < 125 cells/μL on POD 3 (OR 6.97 (95% CI: 3.81–12.7), <i<p</i< < 0.01), basophils < 18.1 cells/μL on POD 10 (OR 3.45 (95% CI: 1.37–12.3), <i<p</i< = 0.02) and mDC < 4.7 cells/μL on POD 7 (OR 11.68 (95% CI: 1.85–73.4), <i<p</i< < 0.01) were revealed as independent biochemical predictive variables for eRGI after KT. Conclusions: We show that the combined measurement of immunological innate variables (NK cells and monocytes on POD 7) and specific clinical factors such as prolonged CIT, increased donor and recipient age and morbidity together with deceased-donor transplantation were significant and specific predictors of eRGI following KT. We suggest that intensified monitoring of these parameters might be a helpful clinical tool in identifying patients at a higher risk of postoperative complication after KT and may therefore help to detect and—by diligent clinical management—even prevent deteriorated outcome due to IRI and eRGI after KT. kidney transplantation ischemia reperfusion injury immunological monitoring biomarker graft outcome graft function Medicine R Ulrich Sack verfasserin aut Sebastian Stehr verfasserin aut Maria Theresa Vöelker verfasserin aut Sven Laudi verfasserin aut Daniel Seehofer verfasserin aut Selim Atay verfasserin aut Panagiota Zgoura verfasserin aut Richard Viebahn verfasserin aut Andreas Boldt verfasserin aut Hans-Michael Hau verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 11(2022), 20, p 6148 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:11 year:2022 number:20, p 6148 https://doi.org/10.3390/jcm11206148 kostenfrei https://doaj.org/article/bd81a86eb99b477a918d23c76079c35e kostenfrei https://www.mdpi.com/2077-0383/11/20/6148 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 11 2022 20, p 6148 |
allfields_unstemmed |
10.3390/jcm11206148 doi (DE-627)DOAJ02092187X (DE-599)DOAJbd81a86eb99b477a918d23c76079c35e DE-627 ger DE-627 rakwb eng Nora Jahn verfasserin aut The Role of Innate Immune Cells in the Prediction of Early Renal Allograft Injury Following Kidney Transplantation 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Despite recent advances and refinements in perioperative management of kidney transplantation (KT), early renal graft injury (eRGI) remains a critical problem with serious impairment of graft function as well as short- and long-term outcome. Serial monitoring of peripheral blood innate immune cells might be a useful tool in predicting post-transplant eRGI and graft outcome after KT. Methods: In this prospective study, medical data of 50 consecutive patients undergoing KT at the University Hospital of Leipzig were analyzed starting at the day of KT until day 10 after the transplantation. The main outcome parameter was the occurrence of eRGI and other outcome parameters associated with graft function/outcome. eRGI was defined as graft-related complications and clinical signs of renal IRI (ischemia reperfusion injury), such as acute tubular necrosis (ATN), delayed graft function (DGF), initial nonfunction (INF) and graft rejection within 3 months following KT. Typical innate immune cells including neutrophils, natural killer (NK) cells, monocytes, basophils and dendritic cells (myeloid, plasmacytoid) were measured in all patients in peripheral blood at day 0, 1, 3, 7 and 10 after the transplantation. Receiver operating characteristics (ROC) curves were performed to assess their predictive value for eRGI. Cutoff levels were calculated with the Youden index. Significant diagnostic immunological cutoffs and other prognostic clinical factors were tested in a multivariate logistic regression model. Results: Of the 50 included patients, 23 patients developed eRGI. Mean levels of neutrophils and monocytes were significantly higher on most days in the eRGI group compared to the non-eRGI group after transplantation, whereas a significant decrease in NK cell count, basophil levels and DC counts could be found between baseline and postoperative course. ROC analysis indicated that monocytes levels on POD 7 (AUC: 0.91) and NK cell levels on POD 7 (AUC: 0.92) were highly predictive for eRGI after KT. Multivariable analysis identified recipient age (OR 1.53 (95% CI: 1.003–2.350), <i<p</i< = 0.040), recipient body mass index < 25 kg/m<sup<2</sup< (OR 5.6 (95% CI: 1.36–23.9), <i<p</i< = 0.015), recipient cardiovascular disease (OR 8.17 (95% CI: 1.28–52.16), <i<p</i< = 0.026), donor age (OR 1.068 (95% CI: 1.011–1.128), <i<p</i< = 0.027), <0.010), deceased-donor transplantation (OR 2.18 (95% CI: 1.091–4.112), <i<p</i< = 0.027) and cold ischemia time (CIT) of the renal graft (OR 1.005 (95% CI: 1.001–1.01), <i<p</i< = 0.019) as clinically relevant prognostic factors associated with increased eRGI following KT. Further, neutrophils < 9.4 × 10<sup<3</sup</μL on POD 7 (OR 16.1 (95% CI: 1.31–195.6), <i<p</i< = 0.031), monocytes < 1150 cells/ul on POD 7 (OR 7.81 (95% CI: 1.97–63.18), <i<p</i< = 0.048), NK cells < 125 cells/μL on POD 3 (OR 6.97 (95% CI: 3.81–12.7), <i<p</i< < 0.01), basophils < 18.1 cells/μL on POD 10 (OR 3.45 (95% CI: 1.37–12.3), <i<p</i< = 0.02) and mDC < 4.7 cells/μL on POD 7 (OR 11.68 (95% CI: 1.85–73.4), <i<p</i< < 0.01) were revealed as independent biochemical predictive variables for eRGI after KT. Conclusions: We show that the combined measurement of immunological innate variables (NK cells and monocytes on POD 7) and specific clinical factors such as prolonged CIT, increased donor and recipient age and morbidity together with deceased-donor transplantation were significant and specific predictors of eRGI following KT. We suggest that intensified monitoring of these parameters might be a helpful clinical tool in identifying patients at a higher risk of postoperative complication after KT and may therefore help to detect and—by diligent clinical management—even prevent deteriorated outcome due to IRI and eRGI after KT. kidney transplantation ischemia reperfusion injury immunological monitoring biomarker graft outcome graft function Medicine R Ulrich Sack verfasserin aut Sebastian Stehr verfasserin aut Maria Theresa Vöelker verfasserin aut Sven Laudi verfasserin aut Daniel Seehofer verfasserin aut Selim Atay verfasserin aut Panagiota Zgoura verfasserin aut Richard Viebahn verfasserin aut Andreas Boldt verfasserin aut Hans-Michael Hau verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 11(2022), 20, p 6148 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:11 year:2022 number:20, p 6148 https://doi.org/10.3390/jcm11206148 kostenfrei https://doaj.org/article/bd81a86eb99b477a918d23c76079c35e kostenfrei https://www.mdpi.com/2077-0383/11/20/6148 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 11 2022 20, p 6148 |
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10.3390/jcm11206148 doi (DE-627)DOAJ02092187X (DE-599)DOAJbd81a86eb99b477a918d23c76079c35e DE-627 ger DE-627 rakwb eng Nora Jahn verfasserin aut The Role of Innate Immune Cells in the Prediction of Early Renal Allograft Injury Following Kidney Transplantation 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Despite recent advances and refinements in perioperative management of kidney transplantation (KT), early renal graft injury (eRGI) remains a critical problem with serious impairment of graft function as well as short- and long-term outcome. Serial monitoring of peripheral blood innate immune cells might be a useful tool in predicting post-transplant eRGI and graft outcome after KT. Methods: In this prospective study, medical data of 50 consecutive patients undergoing KT at the University Hospital of Leipzig were analyzed starting at the day of KT until day 10 after the transplantation. The main outcome parameter was the occurrence of eRGI and other outcome parameters associated with graft function/outcome. eRGI was defined as graft-related complications and clinical signs of renal IRI (ischemia reperfusion injury), such as acute tubular necrosis (ATN), delayed graft function (DGF), initial nonfunction (INF) and graft rejection within 3 months following KT. Typical innate immune cells including neutrophils, natural killer (NK) cells, monocytes, basophils and dendritic cells (myeloid, plasmacytoid) were measured in all patients in peripheral blood at day 0, 1, 3, 7 and 10 after the transplantation. Receiver operating characteristics (ROC) curves were performed to assess their predictive value for eRGI. Cutoff levels were calculated with the Youden index. Significant diagnostic immunological cutoffs and other prognostic clinical factors were tested in a multivariate logistic regression model. Results: Of the 50 included patients, 23 patients developed eRGI. Mean levels of neutrophils and monocytes were significantly higher on most days in the eRGI group compared to the non-eRGI group after transplantation, whereas a significant decrease in NK cell count, basophil levels and DC counts could be found between baseline and postoperative course. ROC analysis indicated that monocytes levels on POD 7 (AUC: 0.91) and NK cell levels on POD 7 (AUC: 0.92) were highly predictive for eRGI after KT. Multivariable analysis identified recipient age (OR 1.53 (95% CI: 1.003–2.350), <i<p</i< = 0.040), recipient body mass index < 25 kg/m<sup<2</sup< (OR 5.6 (95% CI: 1.36–23.9), <i<p</i< = 0.015), recipient cardiovascular disease (OR 8.17 (95% CI: 1.28–52.16), <i<p</i< = 0.026), donor age (OR 1.068 (95% CI: 1.011–1.128), <i<p</i< = 0.027), <0.010), deceased-donor transplantation (OR 2.18 (95% CI: 1.091–4.112), <i<p</i< = 0.027) and cold ischemia time (CIT) of the renal graft (OR 1.005 (95% CI: 1.001–1.01), <i<p</i< = 0.019) as clinically relevant prognostic factors associated with increased eRGI following KT. Further, neutrophils < 9.4 × 10<sup<3</sup</μL on POD 7 (OR 16.1 (95% CI: 1.31–195.6), <i<p</i< = 0.031), monocytes < 1150 cells/ul on POD 7 (OR 7.81 (95% CI: 1.97–63.18), <i<p</i< = 0.048), NK cells < 125 cells/μL on POD 3 (OR 6.97 (95% CI: 3.81–12.7), <i<p</i< < 0.01), basophils < 18.1 cells/μL on POD 10 (OR 3.45 (95% CI: 1.37–12.3), <i<p</i< = 0.02) and mDC < 4.7 cells/μL on POD 7 (OR 11.68 (95% CI: 1.85–73.4), <i<p</i< < 0.01) were revealed as independent biochemical predictive variables for eRGI after KT. Conclusions: We show that the combined measurement of immunological innate variables (NK cells and monocytes on POD 7) and specific clinical factors such as prolonged CIT, increased donor and recipient age and morbidity together with deceased-donor transplantation were significant and specific predictors of eRGI following KT. We suggest that intensified monitoring of these parameters might be a helpful clinical tool in identifying patients at a higher risk of postoperative complication after KT and may therefore help to detect and—by diligent clinical management—even prevent deteriorated outcome due to IRI and eRGI after KT. kidney transplantation ischemia reperfusion injury immunological monitoring biomarker graft outcome graft function Medicine R Ulrich Sack verfasserin aut Sebastian Stehr verfasserin aut Maria Theresa Vöelker verfasserin aut Sven Laudi verfasserin aut Daniel Seehofer verfasserin aut Selim Atay verfasserin aut Panagiota Zgoura verfasserin aut Richard Viebahn verfasserin aut Andreas Boldt verfasserin aut Hans-Michael Hau verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 11(2022), 20, p 6148 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:11 year:2022 number:20, p 6148 https://doi.org/10.3390/jcm11206148 kostenfrei https://doaj.org/article/bd81a86eb99b477a918d23c76079c35e kostenfrei https://www.mdpi.com/2077-0383/11/20/6148 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 11 2022 20, p 6148 |
allfieldsSound |
10.3390/jcm11206148 doi (DE-627)DOAJ02092187X (DE-599)DOAJbd81a86eb99b477a918d23c76079c35e DE-627 ger DE-627 rakwb eng Nora Jahn verfasserin aut The Role of Innate Immune Cells in the Prediction of Early Renal Allograft Injury Following Kidney Transplantation 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Despite recent advances and refinements in perioperative management of kidney transplantation (KT), early renal graft injury (eRGI) remains a critical problem with serious impairment of graft function as well as short- and long-term outcome. Serial monitoring of peripheral blood innate immune cells might be a useful tool in predicting post-transplant eRGI and graft outcome after KT. Methods: In this prospective study, medical data of 50 consecutive patients undergoing KT at the University Hospital of Leipzig were analyzed starting at the day of KT until day 10 after the transplantation. The main outcome parameter was the occurrence of eRGI and other outcome parameters associated with graft function/outcome. eRGI was defined as graft-related complications and clinical signs of renal IRI (ischemia reperfusion injury), such as acute tubular necrosis (ATN), delayed graft function (DGF), initial nonfunction (INF) and graft rejection within 3 months following KT. Typical innate immune cells including neutrophils, natural killer (NK) cells, monocytes, basophils and dendritic cells (myeloid, plasmacytoid) were measured in all patients in peripheral blood at day 0, 1, 3, 7 and 10 after the transplantation. Receiver operating characteristics (ROC) curves were performed to assess their predictive value for eRGI. Cutoff levels were calculated with the Youden index. Significant diagnostic immunological cutoffs and other prognostic clinical factors were tested in a multivariate logistic regression model. Results: Of the 50 included patients, 23 patients developed eRGI. Mean levels of neutrophils and monocytes were significantly higher on most days in the eRGI group compared to the non-eRGI group after transplantation, whereas a significant decrease in NK cell count, basophil levels and DC counts could be found between baseline and postoperative course. ROC analysis indicated that monocytes levels on POD 7 (AUC: 0.91) and NK cell levels on POD 7 (AUC: 0.92) were highly predictive for eRGI after KT. Multivariable analysis identified recipient age (OR 1.53 (95% CI: 1.003–2.350), <i<p</i< = 0.040), recipient body mass index < 25 kg/m<sup<2</sup< (OR 5.6 (95% CI: 1.36–23.9), <i<p</i< = 0.015), recipient cardiovascular disease (OR 8.17 (95% CI: 1.28–52.16), <i<p</i< = 0.026), donor age (OR 1.068 (95% CI: 1.011–1.128), <i<p</i< = 0.027), <0.010), deceased-donor transplantation (OR 2.18 (95% CI: 1.091–4.112), <i<p</i< = 0.027) and cold ischemia time (CIT) of the renal graft (OR 1.005 (95% CI: 1.001–1.01), <i<p</i< = 0.019) as clinically relevant prognostic factors associated with increased eRGI following KT. Further, neutrophils < 9.4 × 10<sup<3</sup</μL on POD 7 (OR 16.1 (95% CI: 1.31–195.6), <i<p</i< = 0.031), monocytes < 1150 cells/ul on POD 7 (OR 7.81 (95% CI: 1.97–63.18), <i<p</i< = 0.048), NK cells < 125 cells/μL on POD 3 (OR 6.97 (95% CI: 3.81–12.7), <i<p</i< < 0.01), basophils < 18.1 cells/μL on POD 10 (OR 3.45 (95% CI: 1.37–12.3), <i<p</i< = 0.02) and mDC < 4.7 cells/μL on POD 7 (OR 11.68 (95% CI: 1.85–73.4), <i<p</i< < 0.01) were revealed as independent biochemical predictive variables for eRGI after KT. Conclusions: We show that the combined measurement of immunological innate variables (NK cells and monocytes on POD 7) and specific clinical factors such as prolonged CIT, increased donor and recipient age and morbidity together with deceased-donor transplantation were significant and specific predictors of eRGI following KT. We suggest that intensified monitoring of these parameters might be a helpful clinical tool in identifying patients at a higher risk of postoperative complication after KT and may therefore help to detect and—by diligent clinical management—even prevent deteriorated outcome due to IRI and eRGI after KT. kidney transplantation ischemia reperfusion injury immunological monitoring biomarker graft outcome graft function Medicine R Ulrich Sack verfasserin aut Sebastian Stehr verfasserin aut Maria Theresa Vöelker verfasserin aut Sven Laudi verfasserin aut Daniel Seehofer verfasserin aut Selim Atay verfasserin aut Panagiota Zgoura verfasserin aut Richard Viebahn verfasserin aut Andreas Boldt verfasserin aut Hans-Michael Hau verfasserin aut In Journal of Clinical Medicine MDPI AG, 2013 11(2022), 20, p 6148 (DE-627)718632478 (DE-600)2662592-1 20770383 nnns volume:11 year:2022 number:20, p 6148 https://doi.org/10.3390/jcm11206148 kostenfrei https://doaj.org/article/bd81a86eb99b477a918d23c76079c35e kostenfrei https://www.mdpi.com/2077-0383/11/20/6148 kostenfrei https://doaj.org/toc/2077-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 11 2022 20, p 6148 |
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Nora Jahn @@aut@@ Ulrich Sack @@aut@@ Sebastian Stehr @@aut@@ Maria Theresa Vöelker @@aut@@ Sven Laudi @@aut@@ Daniel Seehofer @@aut@@ Selim Atay @@aut@@ Panagiota Zgoura @@aut@@ Richard Viebahn @@aut@@ Andreas Boldt @@aut@@ Hans-Michael Hau @@aut@@ |
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The Role of Innate Immune Cells in the Prediction of Early Renal Allograft Injury Following Kidney Transplantation kidney transplantation ischemia reperfusion injury immunological monitoring biomarker graft outcome graft function |
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role of innate immune cells in the prediction of early renal allograft injury following kidney transplantation |
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The Role of Innate Immune Cells in the Prediction of Early Renal Allograft Injury Following Kidney Transplantation |
abstract |
Background: Despite recent advances and refinements in perioperative management of kidney transplantation (KT), early renal graft injury (eRGI) remains a critical problem with serious impairment of graft function as well as short- and long-term outcome. Serial monitoring of peripheral blood innate immune cells might be a useful tool in predicting post-transplant eRGI and graft outcome after KT. Methods: In this prospective study, medical data of 50 consecutive patients undergoing KT at the University Hospital of Leipzig were analyzed starting at the day of KT until day 10 after the transplantation. The main outcome parameter was the occurrence of eRGI and other outcome parameters associated with graft function/outcome. eRGI was defined as graft-related complications and clinical signs of renal IRI (ischemia reperfusion injury), such as acute tubular necrosis (ATN), delayed graft function (DGF), initial nonfunction (INF) and graft rejection within 3 months following KT. Typical innate immune cells including neutrophils, natural killer (NK) cells, monocytes, basophils and dendritic cells (myeloid, plasmacytoid) were measured in all patients in peripheral blood at day 0, 1, 3, 7 and 10 after the transplantation. Receiver operating characteristics (ROC) curves were performed to assess their predictive value for eRGI. Cutoff levels were calculated with the Youden index. Significant diagnostic immunological cutoffs and other prognostic clinical factors were tested in a multivariate logistic regression model. Results: Of the 50 included patients, 23 patients developed eRGI. Mean levels of neutrophils and monocytes were significantly higher on most days in the eRGI group compared to the non-eRGI group after transplantation, whereas a significant decrease in NK cell count, basophil levels and DC counts could be found between baseline and postoperative course. ROC analysis indicated that monocytes levels on POD 7 (AUC: 0.91) and NK cell levels on POD 7 (AUC: 0.92) were highly predictive for eRGI after KT. Multivariable analysis identified recipient age (OR 1.53 (95% CI: 1.003–2.350), <i<p</i< = 0.040), recipient body mass index < 25 kg/m<sup<2</sup< (OR 5.6 (95% CI: 1.36–23.9), <i<p</i< = 0.015), recipient cardiovascular disease (OR 8.17 (95% CI: 1.28–52.16), <i<p</i< = 0.026), donor age (OR 1.068 (95% CI: 1.011–1.128), <i<p</i< = 0.027), <0.010), deceased-donor transplantation (OR 2.18 (95% CI: 1.091–4.112), <i<p</i< = 0.027) and cold ischemia time (CIT) of the renal graft (OR 1.005 (95% CI: 1.001–1.01), <i<p</i< = 0.019) as clinically relevant prognostic factors associated with increased eRGI following KT. Further, neutrophils < 9.4 × 10<sup<3</sup</μL on POD 7 (OR 16.1 (95% CI: 1.31–195.6), <i<p</i< = 0.031), monocytes < 1150 cells/ul on POD 7 (OR 7.81 (95% CI: 1.97–63.18), <i<p</i< = 0.048), NK cells < 125 cells/μL on POD 3 (OR 6.97 (95% CI: 3.81–12.7), <i<p</i< < 0.01), basophils < 18.1 cells/μL on POD 10 (OR 3.45 (95% CI: 1.37–12.3), <i<p</i< = 0.02) and mDC < 4.7 cells/μL on POD 7 (OR 11.68 (95% CI: 1.85–73.4), <i<p</i< < 0.01) were revealed as independent biochemical predictive variables for eRGI after KT. Conclusions: We show that the combined measurement of immunological innate variables (NK cells and monocytes on POD 7) and specific clinical factors such as prolonged CIT, increased donor and recipient age and morbidity together with deceased-donor transplantation were significant and specific predictors of eRGI following KT. We suggest that intensified monitoring of these parameters might be a helpful clinical tool in identifying patients at a higher risk of postoperative complication after KT and may therefore help to detect and—by diligent clinical management—even prevent deteriorated outcome due to IRI and eRGI after KT. |
abstractGer |
Background: Despite recent advances and refinements in perioperative management of kidney transplantation (KT), early renal graft injury (eRGI) remains a critical problem with serious impairment of graft function as well as short- and long-term outcome. Serial monitoring of peripheral blood innate immune cells might be a useful tool in predicting post-transplant eRGI and graft outcome after KT. Methods: In this prospective study, medical data of 50 consecutive patients undergoing KT at the University Hospital of Leipzig were analyzed starting at the day of KT until day 10 after the transplantation. The main outcome parameter was the occurrence of eRGI and other outcome parameters associated with graft function/outcome. eRGI was defined as graft-related complications and clinical signs of renal IRI (ischemia reperfusion injury), such as acute tubular necrosis (ATN), delayed graft function (DGF), initial nonfunction (INF) and graft rejection within 3 months following KT. Typical innate immune cells including neutrophils, natural killer (NK) cells, monocytes, basophils and dendritic cells (myeloid, plasmacytoid) were measured in all patients in peripheral blood at day 0, 1, 3, 7 and 10 after the transplantation. Receiver operating characteristics (ROC) curves were performed to assess their predictive value for eRGI. Cutoff levels were calculated with the Youden index. Significant diagnostic immunological cutoffs and other prognostic clinical factors were tested in a multivariate logistic regression model. Results: Of the 50 included patients, 23 patients developed eRGI. Mean levels of neutrophils and monocytes were significantly higher on most days in the eRGI group compared to the non-eRGI group after transplantation, whereas a significant decrease in NK cell count, basophil levels and DC counts could be found between baseline and postoperative course. ROC analysis indicated that monocytes levels on POD 7 (AUC: 0.91) and NK cell levels on POD 7 (AUC: 0.92) were highly predictive for eRGI after KT. Multivariable analysis identified recipient age (OR 1.53 (95% CI: 1.003–2.350), <i<p</i< = 0.040), recipient body mass index < 25 kg/m<sup<2</sup< (OR 5.6 (95% CI: 1.36–23.9), <i<p</i< = 0.015), recipient cardiovascular disease (OR 8.17 (95% CI: 1.28–52.16), <i<p</i< = 0.026), donor age (OR 1.068 (95% CI: 1.011–1.128), <i<p</i< = 0.027), <0.010), deceased-donor transplantation (OR 2.18 (95% CI: 1.091–4.112), <i<p</i< = 0.027) and cold ischemia time (CIT) of the renal graft (OR 1.005 (95% CI: 1.001–1.01), <i<p</i< = 0.019) as clinically relevant prognostic factors associated with increased eRGI following KT. Further, neutrophils < 9.4 × 10<sup<3</sup</μL on POD 7 (OR 16.1 (95% CI: 1.31–195.6), <i<p</i< = 0.031), monocytes < 1150 cells/ul on POD 7 (OR 7.81 (95% CI: 1.97–63.18), <i<p</i< = 0.048), NK cells < 125 cells/μL on POD 3 (OR 6.97 (95% CI: 3.81–12.7), <i<p</i< < 0.01), basophils < 18.1 cells/μL on POD 10 (OR 3.45 (95% CI: 1.37–12.3), <i<p</i< = 0.02) and mDC < 4.7 cells/μL on POD 7 (OR 11.68 (95% CI: 1.85–73.4), <i<p</i< < 0.01) were revealed as independent biochemical predictive variables for eRGI after KT. Conclusions: We show that the combined measurement of immunological innate variables (NK cells and monocytes on POD 7) and specific clinical factors such as prolonged CIT, increased donor and recipient age and morbidity together with deceased-donor transplantation were significant and specific predictors of eRGI following KT. We suggest that intensified monitoring of these parameters might be a helpful clinical tool in identifying patients at a higher risk of postoperative complication after KT and may therefore help to detect and—by diligent clinical management—even prevent deteriorated outcome due to IRI and eRGI after KT. |
abstract_unstemmed |
Background: Despite recent advances and refinements in perioperative management of kidney transplantation (KT), early renal graft injury (eRGI) remains a critical problem with serious impairment of graft function as well as short- and long-term outcome. Serial monitoring of peripheral blood innate immune cells might be a useful tool in predicting post-transplant eRGI and graft outcome after KT. Methods: In this prospective study, medical data of 50 consecutive patients undergoing KT at the University Hospital of Leipzig were analyzed starting at the day of KT until day 10 after the transplantation. The main outcome parameter was the occurrence of eRGI and other outcome parameters associated with graft function/outcome. eRGI was defined as graft-related complications and clinical signs of renal IRI (ischemia reperfusion injury), such as acute tubular necrosis (ATN), delayed graft function (DGF), initial nonfunction (INF) and graft rejection within 3 months following KT. Typical innate immune cells including neutrophils, natural killer (NK) cells, monocytes, basophils and dendritic cells (myeloid, plasmacytoid) were measured in all patients in peripheral blood at day 0, 1, 3, 7 and 10 after the transplantation. Receiver operating characteristics (ROC) curves were performed to assess their predictive value for eRGI. Cutoff levels were calculated with the Youden index. Significant diagnostic immunological cutoffs and other prognostic clinical factors were tested in a multivariate logistic regression model. Results: Of the 50 included patients, 23 patients developed eRGI. Mean levels of neutrophils and monocytes were significantly higher on most days in the eRGI group compared to the non-eRGI group after transplantation, whereas a significant decrease in NK cell count, basophil levels and DC counts could be found between baseline and postoperative course. ROC analysis indicated that monocytes levels on POD 7 (AUC: 0.91) and NK cell levels on POD 7 (AUC: 0.92) were highly predictive for eRGI after KT. Multivariable analysis identified recipient age (OR 1.53 (95% CI: 1.003–2.350), <i<p</i< = 0.040), recipient body mass index < 25 kg/m<sup<2</sup< (OR 5.6 (95% CI: 1.36–23.9), <i<p</i< = 0.015), recipient cardiovascular disease (OR 8.17 (95% CI: 1.28–52.16), <i<p</i< = 0.026), donor age (OR 1.068 (95% CI: 1.011–1.128), <i<p</i< = 0.027), <0.010), deceased-donor transplantation (OR 2.18 (95% CI: 1.091–4.112), <i<p</i< = 0.027) and cold ischemia time (CIT) of the renal graft (OR 1.005 (95% CI: 1.001–1.01), <i<p</i< = 0.019) as clinically relevant prognostic factors associated with increased eRGI following KT. Further, neutrophils < 9.4 × 10<sup<3</sup</μL on POD 7 (OR 16.1 (95% CI: 1.31–195.6), <i<p</i< = 0.031), monocytes < 1150 cells/ul on POD 7 (OR 7.81 (95% CI: 1.97–63.18), <i<p</i< = 0.048), NK cells < 125 cells/μL on POD 3 (OR 6.97 (95% CI: 3.81–12.7), <i<p</i< < 0.01), basophils < 18.1 cells/μL on POD 10 (OR 3.45 (95% CI: 1.37–12.3), <i<p</i< = 0.02) and mDC < 4.7 cells/μL on POD 7 (OR 11.68 (95% CI: 1.85–73.4), <i<p</i< < 0.01) were revealed as independent biochemical predictive variables for eRGI after KT. Conclusions: We show that the combined measurement of immunological innate variables (NK cells and monocytes on POD 7) and specific clinical factors such as prolonged CIT, increased donor and recipient age and morbidity together with deceased-donor transplantation were significant and specific predictors of eRGI following KT. We suggest that intensified monitoring of these parameters might be a helpful clinical tool in identifying patients at a higher risk of postoperative complication after KT and may therefore help to detect and—by diligent clinical management—even prevent deteriorated outcome due to IRI and eRGI after KT. |
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Serial monitoring of peripheral blood innate immune cells might be a useful tool in predicting post-transplant eRGI and graft outcome after KT. Methods: In this prospective study, medical data of 50 consecutive patients undergoing KT at the University Hospital of Leipzig were analyzed starting at the day of KT until day 10 after the transplantation. The main outcome parameter was the occurrence of eRGI and other outcome parameters associated with graft function/outcome. eRGI was defined as graft-related complications and clinical signs of renal IRI (ischemia reperfusion injury), such as acute tubular necrosis (ATN), delayed graft function (DGF), initial nonfunction (INF) and graft rejection within 3 months following KT. Typical innate immune cells including neutrophils, natural killer (NK) cells, monocytes, basophils and dendritic cells (myeloid, plasmacytoid) were measured in all patients in peripheral blood at day 0, 1, 3, 7 and 10 after the transplantation. Receiver operating characteristics (ROC) curves were performed to assess their predictive value for eRGI. Cutoff levels were calculated with the Youden index. Significant diagnostic immunological cutoffs and other prognostic clinical factors were tested in a multivariate logistic regression model. Results: Of the 50 included patients, 23 patients developed eRGI. Mean levels of neutrophils and monocytes were significantly higher on most days in the eRGI group compared to the non-eRGI group after transplantation, whereas a significant decrease in NK cell count, basophil levels and DC counts could be found between baseline and postoperative course. ROC analysis indicated that monocytes levels on POD 7 (AUC: 0.91) and NK cell levels on POD 7 (AUC: 0.92) were highly predictive for eRGI after KT. Multivariable analysis identified recipient age (OR 1.53 (95% CI: 1.003–2.350), <i<p</i< = 0.040), recipient body mass index < 25 kg/m<sup<2</sup< (OR 5.6 (95% CI: 1.36–23.9), <i<p</i< = 0.015), recipient cardiovascular disease (OR 8.17 (95% CI: 1.28–52.16), <i<p</i< = 0.026), donor age (OR 1.068 (95% CI: 1.011–1.128), <i<p</i< = 0.027), <0.010), deceased-donor transplantation (OR 2.18 (95% CI: 1.091–4.112), <i<p</i< = 0.027) and cold ischemia time (CIT) of the renal graft (OR 1.005 (95% CI: 1.001–1.01), <i<p</i< = 0.019) as clinically relevant prognostic factors associated with increased eRGI following KT. Further, neutrophils < 9.4 × 10<sup<3</sup</μL on POD 7 (OR 16.1 (95% CI: 1.31–195.6), <i<p</i< = 0.031), monocytes < 1150 cells/ul on POD 7 (OR 7.81 (95% CI: 1.97–63.18), <i<p</i< = 0.048), NK cells < 125 cells/μL on POD 3 (OR 6.97 (95% CI: 3.81–12.7), <i<p</i< < 0.01), basophils < 18.1 cells/μL on POD 10 (OR 3.45 (95% CI: 1.37–12.3), <i<p</i< = 0.02) and mDC < 4.7 cells/μL on POD 7 (OR 11.68 (95% CI: 1.85–73.4), <i<p</i< < 0.01) were revealed as independent biochemical predictive variables for eRGI after KT. Conclusions: We show that the combined measurement of immunological innate variables (NK cells and monocytes on POD 7) and specific clinical factors such as prolonged CIT, increased donor and recipient age and morbidity together with deceased-donor transplantation were significant and specific predictors of eRGI following KT. We suggest that intensified monitoring of these parameters might be a helpful clinical tool in identifying patients at a higher risk of postoperative complication after KT and may therefore help to detect and—by diligent clinical management—even prevent deteriorated outcome due to IRI and eRGI after KT.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">kidney transplantation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ischemia reperfusion injury</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">immunological monitoring</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">biomarker</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">graft outcome</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">graft function</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield 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