$ O_{2} $ delivery and $ CO_{2} $ production during cardiopulmonary bypass as determinants of acute kidney injury: time for a goal-directed perfusion management?
Introduction Acute kidney injury (AKI) is common after cardiac operations. There are different risk factors or determinants of AKI, and some are related to cardiopulmonary bypass (CPB). In this study, we explored the association between metabolic parameters (oxygen delivery ($ DO_{2} $) and carbon d...
Ausführliche Beschreibung
Autor*in: |
de Somer, Filip [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2011 |
---|
Schlagwörter: |
---|
Anmerkung: |
© de Somer et al.; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( |
---|
Übergeordnetes Werk: |
Enthalten in: Critical care - London : BioMed Central, 1997, 15(2011), 4 vom: 10. Aug. |
---|---|
Übergeordnetes Werk: |
volume:15 ; year:2011 ; number:4 ; day:10 ; month:08 |
Links: |
---|
DOI / URN: |
10.1186/cc10349 |
---|
Katalog-ID: |
SPR02983077X |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | SPR02983077X | ||
003 | DE-627 | ||
005 | 20230519090107.0 | ||
007 | cr uuu---uuuuu | ||
008 | 201007s2011 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1186/cc10349 |2 doi | |
035 | |a (DE-627)SPR02983077X | ||
035 | |a (SPR)cc10349-e | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a de Somer, Filip |e verfasserin |4 aut | |
245 | 1 | 0 | |a $ O_{2} $ delivery and $ CO_{2} $ production during cardiopulmonary bypass as determinants of acute kidney injury: time for a goal-directed perfusion management? |
264 | 1 | |c 2011 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a © de Somer et al.; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( | ||
520 | |a Introduction Acute kidney injury (AKI) is common after cardiac operations. There are different risk factors or determinants of AKI, and some are related to cardiopulmonary bypass (CPB). In this study, we explored the association between metabolic parameters (oxygen delivery ($ DO_{2} $) and carbon dioxide production ($ VCO_{2} $)) during CPB with postoperative AKI. Methods We conducted a retrospective analysis of prospectively collected data at two different institutions. The study population included 359 adult patients. The $ DO_{2} $ and $ VCO_{2} $ levels of each patient were monitored during CPB. Outcome variables were related to kidney function (peak postoperative serum creatinine increase and AKI stage 1 or 2). The experimental hypothesis was that nadir $ DO_{2} $ values and nadir $ DO_{2} $/$ VCO_{2} $ ratios during CPB would be independent predictors of AKI. Multivariable logistic regression models were built to detect the independent predictors of AKI and any kind of kidney function damage. Results A nadir $ DO_{2} $ level < 262 mL/minute/$ m^{2} $ and a nadir $ DO_{2} $/$ VCO_{2} $ ratio < 5.3 were independently associated with AKI within a model including EuroSCORE and CPB duration. Patients with nadir $ DO_{2} $ levels and nadir $ DO_{2} $/$ VCO_{2} $ ratios below the identified cutoff values during CPB had a significantly higher rate of AKI stage 2 (odds ratios 3.1 and 2.9, respectively). The negative predictive power of both variables exceeded 90%. The most accurate predictor of AKI stage 2 postoperative status was the nadir $ DO_{2} $ level. Conclusions The nadir $ DO_{2} $ level during CPB is independently associated with postoperative AKI. The measurement of $ VCO_{2} $-related variables does not add accuracy to the AKI prediction. Since $ DO_{2} $ during CPB is a modifiable factor (through pump flow adjustments), this study generates the hypothesis that goal-directed perfusion management aimed at maintaining the $ DO_{2} $ level above the identified critical value might limit the incidence of postoperative AKI. | ||
650 | 4 | |a Acute Kidney Injury |7 (dpeaa)DE-He213 | |
650 | 4 | |a Pump Flow |7 (dpeaa)DE-He213 | |
650 | 4 | |a Acute Kidney Injury Stage |7 (dpeaa)DE-He213 | |
650 | 4 | |a Postoperative Renal Function |7 (dpeaa)DE-He213 | |
650 | 4 | |a Negative Predictive Power |7 (dpeaa)DE-He213 | |
700 | 1 | |a Mulholland, John W |4 aut | |
700 | 1 | |a Bryan, Megan R |4 aut | |
700 | 1 | |a Aloisio, Tommaso |4 aut | |
700 | 1 | |a Van Nooten, Guido J |4 aut | |
700 | 1 | |a Ranucci, Marco |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Critical care |d London : BioMed Central, 1997 |g 15(2011), 4 vom: 10. Aug. |w (DE-627)331258269 |w (DE-600)2051256-9 |x 1364-8535 |7 nnns |
773 | 1 | 8 | |g volume:15 |g year:2011 |g number:4 |g day:10 |g month:08 |
856 | 4 | 0 | |u https://dx.doi.org/10.1186/cc10349 |z kostenfrei |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_SPRINGER | ||
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_2014 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4367 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 15 |j 2011 |e 4 |b 10 |c 08 |
author_variant |
s f d sf sfd j w m jw jwm m r b mr mrb t a ta n g j v ngj ngjv m r mr |
---|---|
matchkey_str |
article:13648535:2011----::_dlvrado2rdcinuigadoumnrbpsadtriatoaueinynuyie |
hierarchy_sort_str |
2011 |
publishDate |
2011 |
allfields |
10.1186/cc10349 doi (DE-627)SPR02983077X (SPR)cc10349-e DE-627 ger DE-627 rakwb eng de Somer, Filip verfasserin aut $ O_{2} $ delivery and $ CO_{2} $ production during cardiopulmonary bypass as determinants of acute kidney injury: time for a goal-directed perfusion management? 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © de Somer et al.; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( Introduction Acute kidney injury (AKI) is common after cardiac operations. There are different risk factors or determinants of AKI, and some are related to cardiopulmonary bypass (CPB). In this study, we explored the association between metabolic parameters (oxygen delivery ($ DO_{2} $) and carbon dioxide production ($ VCO_{2} $)) during CPB with postoperative AKI. Methods We conducted a retrospective analysis of prospectively collected data at two different institutions. The study population included 359 adult patients. The $ DO_{2} $ and $ VCO_{2} $ levels of each patient were monitored during CPB. Outcome variables were related to kidney function (peak postoperative serum creatinine increase and AKI stage 1 or 2). The experimental hypothesis was that nadir $ DO_{2} $ values and nadir $ DO_{2} $/$ VCO_{2} $ ratios during CPB would be independent predictors of AKI. Multivariable logistic regression models were built to detect the independent predictors of AKI and any kind of kidney function damage. Results A nadir $ DO_{2} $ level < 262 mL/minute/$ m^{2} $ and a nadir $ DO_{2} $/$ VCO_{2} $ ratio < 5.3 were independently associated with AKI within a model including EuroSCORE and CPB duration. Patients with nadir $ DO_{2} $ levels and nadir $ DO_{2} $/$ VCO_{2} $ ratios below the identified cutoff values during CPB had a significantly higher rate of AKI stage 2 (odds ratios 3.1 and 2.9, respectively). The negative predictive power of both variables exceeded 90%. The most accurate predictor of AKI stage 2 postoperative status was the nadir $ DO_{2} $ level. Conclusions The nadir $ DO_{2} $ level during CPB is independently associated with postoperative AKI. The measurement of $ VCO_{2} $-related variables does not add accuracy to the AKI prediction. Since $ DO_{2} $ during CPB is a modifiable factor (through pump flow adjustments), this study generates the hypothesis that goal-directed perfusion management aimed at maintaining the $ DO_{2} $ level above the identified critical value might limit the incidence of postoperative AKI. Acute Kidney Injury (dpeaa)DE-He213 Pump Flow (dpeaa)DE-He213 Acute Kidney Injury Stage (dpeaa)DE-He213 Postoperative Renal Function (dpeaa)DE-He213 Negative Predictive Power (dpeaa)DE-He213 Mulholland, John W aut Bryan, Megan R aut Aloisio, Tommaso aut Van Nooten, Guido J aut Ranucci, Marco aut Enthalten in Critical care London : BioMed Central, 1997 15(2011), 4 vom: 10. Aug. (DE-627)331258269 (DE-600)2051256-9 1364-8535 nnns volume:15 year:2011 number:4 day:10 month:08 https://dx.doi.org/10.1186/cc10349 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2011 4 10 08 |
spelling |
10.1186/cc10349 doi (DE-627)SPR02983077X (SPR)cc10349-e DE-627 ger DE-627 rakwb eng de Somer, Filip verfasserin aut $ O_{2} $ delivery and $ CO_{2} $ production during cardiopulmonary bypass as determinants of acute kidney injury: time for a goal-directed perfusion management? 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © de Somer et al.; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( Introduction Acute kidney injury (AKI) is common after cardiac operations. There are different risk factors or determinants of AKI, and some are related to cardiopulmonary bypass (CPB). In this study, we explored the association between metabolic parameters (oxygen delivery ($ DO_{2} $) and carbon dioxide production ($ VCO_{2} $)) during CPB with postoperative AKI. Methods We conducted a retrospective analysis of prospectively collected data at two different institutions. The study population included 359 adult patients. The $ DO_{2} $ and $ VCO_{2} $ levels of each patient were monitored during CPB. Outcome variables were related to kidney function (peak postoperative serum creatinine increase and AKI stage 1 or 2). The experimental hypothesis was that nadir $ DO_{2} $ values and nadir $ DO_{2} $/$ VCO_{2} $ ratios during CPB would be independent predictors of AKI. Multivariable logistic regression models were built to detect the independent predictors of AKI and any kind of kidney function damage. Results A nadir $ DO_{2} $ level < 262 mL/minute/$ m^{2} $ and a nadir $ DO_{2} $/$ VCO_{2} $ ratio < 5.3 were independently associated with AKI within a model including EuroSCORE and CPB duration. Patients with nadir $ DO_{2} $ levels and nadir $ DO_{2} $/$ VCO_{2} $ ratios below the identified cutoff values during CPB had a significantly higher rate of AKI stage 2 (odds ratios 3.1 and 2.9, respectively). The negative predictive power of both variables exceeded 90%. The most accurate predictor of AKI stage 2 postoperative status was the nadir $ DO_{2} $ level. Conclusions The nadir $ DO_{2} $ level during CPB is independently associated with postoperative AKI. The measurement of $ VCO_{2} $-related variables does not add accuracy to the AKI prediction. Since $ DO_{2} $ during CPB is a modifiable factor (through pump flow adjustments), this study generates the hypothesis that goal-directed perfusion management aimed at maintaining the $ DO_{2} $ level above the identified critical value might limit the incidence of postoperative AKI. Acute Kidney Injury (dpeaa)DE-He213 Pump Flow (dpeaa)DE-He213 Acute Kidney Injury Stage (dpeaa)DE-He213 Postoperative Renal Function (dpeaa)DE-He213 Negative Predictive Power (dpeaa)DE-He213 Mulholland, John W aut Bryan, Megan R aut Aloisio, Tommaso aut Van Nooten, Guido J aut Ranucci, Marco aut Enthalten in Critical care London : BioMed Central, 1997 15(2011), 4 vom: 10. Aug. (DE-627)331258269 (DE-600)2051256-9 1364-8535 nnns volume:15 year:2011 number:4 day:10 month:08 https://dx.doi.org/10.1186/cc10349 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2011 4 10 08 |
allfields_unstemmed |
10.1186/cc10349 doi (DE-627)SPR02983077X (SPR)cc10349-e DE-627 ger DE-627 rakwb eng de Somer, Filip verfasserin aut $ O_{2} $ delivery and $ CO_{2} $ production during cardiopulmonary bypass as determinants of acute kidney injury: time for a goal-directed perfusion management? 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © de Somer et al.; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( Introduction Acute kidney injury (AKI) is common after cardiac operations. There are different risk factors or determinants of AKI, and some are related to cardiopulmonary bypass (CPB). In this study, we explored the association between metabolic parameters (oxygen delivery ($ DO_{2} $) and carbon dioxide production ($ VCO_{2} $)) during CPB with postoperative AKI. Methods We conducted a retrospective analysis of prospectively collected data at two different institutions. The study population included 359 adult patients. The $ DO_{2} $ and $ VCO_{2} $ levels of each patient were monitored during CPB. Outcome variables were related to kidney function (peak postoperative serum creatinine increase and AKI stage 1 or 2). The experimental hypothesis was that nadir $ DO_{2} $ values and nadir $ DO_{2} $/$ VCO_{2} $ ratios during CPB would be independent predictors of AKI. Multivariable logistic regression models were built to detect the independent predictors of AKI and any kind of kidney function damage. Results A nadir $ DO_{2} $ level < 262 mL/minute/$ m^{2} $ and a nadir $ DO_{2} $/$ VCO_{2} $ ratio < 5.3 were independently associated with AKI within a model including EuroSCORE and CPB duration. Patients with nadir $ DO_{2} $ levels and nadir $ DO_{2} $/$ VCO_{2} $ ratios below the identified cutoff values during CPB had a significantly higher rate of AKI stage 2 (odds ratios 3.1 and 2.9, respectively). The negative predictive power of both variables exceeded 90%. The most accurate predictor of AKI stage 2 postoperative status was the nadir $ DO_{2} $ level. Conclusions The nadir $ DO_{2} $ level during CPB is independently associated with postoperative AKI. The measurement of $ VCO_{2} $-related variables does not add accuracy to the AKI prediction. Since $ DO_{2} $ during CPB is a modifiable factor (through pump flow adjustments), this study generates the hypothesis that goal-directed perfusion management aimed at maintaining the $ DO_{2} $ level above the identified critical value might limit the incidence of postoperative AKI. Acute Kidney Injury (dpeaa)DE-He213 Pump Flow (dpeaa)DE-He213 Acute Kidney Injury Stage (dpeaa)DE-He213 Postoperative Renal Function (dpeaa)DE-He213 Negative Predictive Power (dpeaa)DE-He213 Mulholland, John W aut Bryan, Megan R aut Aloisio, Tommaso aut Van Nooten, Guido J aut Ranucci, Marco aut Enthalten in Critical care London : BioMed Central, 1997 15(2011), 4 vom: 10. Aug. (DE-627)331258269 (DE-600)2051256-9 1364-8535 nnns volume:15 year:2011 number:4 day:10 month:08 https://dx.doi.org/10.1186/cc10349 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2011 4 10 08 |
allfieldsGer |
10.1186/cc10349 doi (DE-627)SPR02983077X (SPR)cc10349-e DE-627 ger DE-627 rakwb eng de Somer, Filip verfasserin aut $ O_{2} $ delivery and $ CO_{2} $ production during cardiopulmonary bypass as determinants of acute kidney injury: time for a goal-directed perfusion management? 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © de Somer et al.; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( Introduction Acute kidney injury (AKI) is common after cardiac operations. There are different risk factors or determinants of AKI, and some are related to cardiopulmonary bypass (CPB). In this study, we explored the association between metabolic parameters (oxygen delivery ($ DO_{2} $) and carbon dioxide production ($ VCO_{2} $)) during CPB with postoperative AKI. Methods We conducted a retrospective analysis of prospectively collected data at two different institutions. The study population included 359 adult patients. The $ DO_{2} $ and $ VCO_{2} $ levels of each patient were monitored during CPB. Outcome variables were related to kidney function (peak postoperative serum creatinine increase and AKI stage 1 or 2). The experimental hypothesis was that nadir $ DO_{2} $ values and nadir $ DO_{2} $/$ VCO_{2} $ ratios during CPB would be independent predictors of AKI. Multivariable logistic regression models were built to detect the independent predictors of AKI and any kind of kidney function damage. Results A nadir $ DO_{2} $ level < 262 mL/minute/$ m^{2} $ and a nadir $ DO_{2} $/$ VCO_{2} $ ratio < 5.3 were independently associated with AKI within a model including EuroSCORE and CPB duration. Patients with nadir $ DO_{2} $ levels and nadir $ DO_{2} $/$ VCO_{2} $ ratios below the identified cutoff values during CPB had a significantly higher rate of AKI stage 2 (odds ratios 3.1 and 2.9, respectively). The negative predictive power of both variables exceeded 90%. The most accurate predictor of AKI stage 2 postoperative status was the nadir $ DO_{2} $ level. Conclusions The nadir $ DO_{2} $ level during CPB is independently associated with postoperative AKI. The measurement of $ VCO_{2} $-related variables does not add accuracy to the AKI prediction. Since $ DO_{2} $ during CPB is a modifiable factor (through pump flow adjustments), this study generates the hypothesis that goal-directed perfusion management aimed at maintaining the $ DO_{2} $ level above the identified critical value might limit the incidence of postoperative AKI. Acute Kidney Injury (dpeaa)DE-He213 Pump Flow (dpeaa)DE-He213 Acute Kidney Injury Stage (dpeaa)DE-He213 Postoperative Renal Function (dpeaa)DE-He213 Negative Predictive Power (dpeaa)DE-He213 Mulholland, John W aut Bryan, Megan R aut Aloisio, Tommaso aut Van Nooten, Guido J aut Ranucci, Marco aut Enthalten in Critical care London : BioMed Central, 1997 15(2011), 4 vom: 10. Aug. (DE-627)331258269 (DE-600)2051256-9 1364-8535 nnns volume:15 year:2011 number:4 day:10 month:08 https://dx.doi.org/10.1186/cc10349 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2011 4 10 08 |
allfieldsSound |
10.1186/cc10349 doi (DE-627)SPR02983077X (SPR)cc10349-e DE-627 ger DE-627 rakwb eng de Somer, Filip verfasserin aut $ O_{2} $ delivery and $ CO_{2} $ production during cardiopulmonary bypass as determinants of acute kidney injury: time for a goal-directed perfusion management? 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © de Somer et al.; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( Introduction Acute kidney injury (AKI) is common after cardiac operations. There are different risk factors or determinants of AKI, and some are related to cardiopulmonary bypass (CPB). In this study, we explored the association between metabolic parameters (oxygen delivery ($ DO_{2} $) and carbon dioxide production ($ VCO_{2} $)) during CPB with postoperative AKI. Methods We conducted a retrospective analysis of prospectively collected data at two different institutions. The study population included 359 adult patients. The $ DO_{2} $ and $ VCO_{2} $ levels of each patient were monitored during CPB. Outcome variables were related to kidney function (peak postoperative serum creatinine increase and AKI stage 1 or 2). The experimental hypothesis was that nadir $ DO_{2} $ values and nadir $ DO_{2} $/$ VCO_{2} $ ratios during CPB would be independent predictors of AKI. Multivariable logistic regression models were built to detect the independent predictors of AKI and any kind of kidney function damage. Results A nadir $ DO_{2} $ level < 262 mL/minute/$ m^{2} $ and a nadir $ DO_{2} $/$ VCO_{2} $ ratio < 5.3 were independently associated with AKI within a model including EuroSCORE and CPB duration. Patients with nadir $ DO_{2} $ levels and nadir $ DO_{2} $/$ VCO_{2} $ ratios below the identified cutoff values during CPB had a significantly higher rate of AKI stage 2 (odds ratios 3.1 and 2.9, respectively). The negative predictive power of both variables exceeded 90%. The most accurate predictor of AKI stage 2 postoperative status was the nadir $ DO_{2} $ level. Conclusions The nadir $ DO_{2} $ level during CPB is independently associated with postoperative AKI. The measurement of $ VCO_{2} $-related variables does not add accuracy to the AKI prediction. Since $ DO_{2} $ during CPB is a modifiable factor (through pump flow adjustments), this study generates the hypothesis that goal-directed perfusion management aimed at maintaining the $ DO_{2} $ level above the identified critical value might limit the incidence of postoperative AKI. Acute Kidney Injury (dpeaa)DE-He213 Pump Flow (dpeaa)DE-He213 Acute Kidney Injury Stage (dpeaa)DE-He213 Postoperative Renal Function (dpeaa)DE-He213 Negative Predictive Power (dpeaa)DE-He213 Mulholland, John W aut Bryan, Megan R aut Aloisio, Tommaso aut Van Nooten, Guido J aut Ranucci, Marco aut Enthalten in Critical care London : BioMed Central, 1997 15(2011), 4 vom: 10. Aug. (DE-627)331258269 (DE-600)2051256-9 1364-8535 nnns volume:15 year:2011 number:4 day:10 month:08 https://dx.doi.org/10.1186/cc10349 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 15 2011 4 10 08 |
language |
English |
source |
Enthalten in Critical care 15(2011), 4 vom: 10. Aug. volume:15 year:2011 number:4 day:10 month:08 |
sourceStr |
Enthalten in Critical care 15(2011), 4 vom: 10. Aug. volume:15 year:2011 number:4 day:10 month:08 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Acute Kidney Injury Pump Flow Acute Kidney Injury Stage Postoperative Renal Function Negative Predictive Power |
isfreeaccess_bool |
true |
container_title |
Critical care |
authorswithroles_txt_mv |
de Somer, Filip @@aut@@ Mulholland, John W @@aut@@ Bryan, Megan R @@aut@@ Aloisio, Tommaso @@aut@@ Van Nooten, Guido J @@aut@@ Ranucci, Marco @@aut@@ |
publishDateDaySort_date |
2011-08-10T00:00:00Z |
hierarchy_top_id |
331258269 |
id |
SPR02983077X |
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">SPR02983077X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519090107.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2011 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/cc10349</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR02983077X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)cc10349-e</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="1" ind2=" "><subfield code="a">de Somer, Filip</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">$ O_{2} $ delivery and $ CO_{2} $ production during cardiopulmonary bypass as determinants of acute kidney injury: time for a goal-directed perfusion management?</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2011</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="500" ind1=" " ind2=" "><subfield code="a">© de Somer et al.; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Introduction Acute kidney injury (AKI) is common after cardiac operations. There are different risk factors or determinants of AKI, and some are related to cardiopulmonary bypass (CPB). In this study, we explored the association between metabolic parameters (oxygen delivery ($ DO_{2} $) and carbon dioxide production ($ VCO_{2} $)) during CPB with postoperative AKI. Methods We conducted a retrospective analysis of prospectively collected data at two different institutions. The study population included 359 adult patients. The $ DO_{2} $ and $ VCO_{2} $ levels of each patient were monitored during CPB. Outcome variables were related to kidney function (peak postoperative serum creatinine increase and AKI stage 1 or 2). The experimental hypothesis was that nadir $ DO_{2} $ values and nadir $ DO_{2} $/$ VCO_{2} $ ratios during CPB would be independent predictors of AKI. Multivariable logistic regression models were built to detect the independent predictors of AKI and any kind of kidney function damage. Results A nadir $ DO_{2} $ level < 262 mL/minute/$ m^{2} $ and a nadir $ DO_{2} $/$ VCO_{2} $ ratio < 5.3 were independently associated with AKI within a model including EuroSCORE and CPB duration. Patients with nadir $ DO_{2} $ levels and nadir $ DO_{2} $/$ VCO_{2} $ ratios below the identified cutoff values during CPB had a significantly higher rate of AKI stage 2 (odds ratios 3.1 and 2.9, respectively). The negative predictive power of both variables exceeded 90%. The most accurate predictor of AKI stage 2 postoperative status was the nadir $ DO_{2} $ level. Conclusions The nadir $ DO_{2} $ level during CPB is independently associated with postoperative AKI. The measurement of $ VCO_{2} $-related variables does not add accuracy to the AKI prediction. Since $ DO_{2} $ during CPB is a modifiable factor (through pump flow adjustments), this study generates the hypothesis that goal-directed perfusion management aimed at maintaining the $ DO_{2} $ level above the identified critical value might limit the incidence of postoperative AKI.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Acute Kidney Injury</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pump Flow</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Acute Kidney Injury Stage</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Postoperative Renal Function</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Negative Predictive Power</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mulholland, John W</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bryan, Megan R</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Aloisio, Tommaso</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Van Nooten, Guido J</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ranucci, Marco</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Critical care</subfield><subfield code="d">London : BioMed Central, 1997</subfield><subfield code="g">15(2011), 4 vom: 10. Aug.</subfield><subfield code="w">(DE-627)331258269</subfield><subfield code="w">(DE-600)2051256-9</subfield><subfield code="x">1364-8535</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:15</subfield><subfield code="g">year:2011</subfield><subfield code="g">number:4</subfield><subfield code="g">day:10</subfield><subfield code="g">month:08</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1186/cc10349</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</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_SPRINGER</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_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">15</subfield><subfield code="j">2011</subfield><subfield code="e">4</subfield><subfield code="b">10</subfield><subfield code="c">08</subfield></datafield></record></collection>
|
author |
de Somer, Filip |
spellingShingle |
de Somer, Filip misc Acute Kidney Injury misc Pump Flow misc Acute Kidney Injury Stage misc Postoperative Renal Function misc Negative Predictive Power $ O_{2} $ delivery and $ CO_{2} $ production during cardiopulmonary bypass as determinants of acute kidney injury: time for a goal-directed perfusion management? |
authorStr |
de Somer, Filip |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)331258269 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut aut |
collection |
springer |
remote_str |
true |
illustrated |
Not Illustrated |
issn |
1364-8535 |
topic_title |
$ O_{2} $ delivery and $ CO_{2} $ production during cardiopulmonary bypass as determinants of acute kidney injury: time for a goal-directed perfusion management? Acute Kidney Injury (dpeaa)DE-He213 Pump Flow (dpeaa)DE-He213 Acute Kidney Injury Stage (dpeaa)DE-He213 Postoperative Renal Function (dpeaa)DE-He213 Negative Predictive Power (dpeaa)DE-He213 |
topic |
misc Acute Kidney Injury misc Pump Flow misc Acute Kidney Injury Stage misc Postoperative Renal Function misc Negative Predictive Power |
topic_unstemmed |
misc Acute Kidney Injury misc Pump Flow misc Acute Kidney Injury Stage misc Postoperative Renal Function misc Negative Predictive Power |
topic_browse |
misc Acute Kidney Injury misc Pump Flow misc Acute Kidney Injury Stage misc Postoperative Renal Function misc Negative Predictive Power |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Critical care |
hierarchy_parent_id |
331258269 |
hierarchy_top_title |
Critical care |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)331258269 (DE-600)2051256-9 |
title |
$ O_{2} $ delivery and $ CO_{2} $ production during cardiopulmonary bypass as determinants of acute kidney injury: time for a goal-directed perfusion management? |
ctrlnum |
(DE-627)SPR02983077X (SPR)cc10349-e |
title_full |
$ O_{2} $ delivery and $ CO_{2} $ production during cardiopulmonary bypass as determinants of acute kidney injury: time for a goal-directed perfusion management? |
author_sort |
de Somer, Filip |
journal |
Critical care |
journalStr |
Critical care |
lang_code |
eng |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2011 |
contenttype_str_mv |
txt |
author_browse |
de Somer, Filip Mulholland, John W Bryan, Megan R Aloisio, Tommaso Van Nooten, Guido J Ranucci, Marco |
container_volume |
15 |
format_se |
Elektronische Aufsätze |
author-letter |
de Somer, Filip |
doi_str_mv |
10.1186/cc10349 |
title_sort |
$ o_{2} $ delivery and $ co_{2} $ production during cardiopulmonary bypass as determinants of acute kidney injury: time for a goal-directed perfusion management? |
title_auth |
$ O_{2} $ delivery and $ CO_{2} $ production during cardiopulmonary bypass as determinants of acute kidney injury: time for a goal-directed perfusion management? |
abstract |
Introduction Acute kidney injury (AKI) is common after cardiac operations. There are different risk factors or determinants of AKI, and some are related to cardiopulmonary bypass (CPB). In this study, we explored the association between metabolic parameters (oxygen delivery ($ DO_{2} $) and carbon dioxide production ($ VCO_{2} $)) during CPB with postoperative AKI. Methods We conducted a retrospective analysis of prospectively collected data at two different institutions. The study population included 359 adult patients. The $ DO_{2} $ and $ VCO_{2} $ levels of each patient were monitored during CPB. Outcome variables were related to kidney function (peak postoperative serum creatinine increase and AKI stage 1 or 2). The experimental hypothesis was that nadir $ DO_{2} $ values and nadir $ DO_{2} $/$ VCO_{2} $ ratios during CPB would be independent predictors of AKI. Multivariable logistic regression models were built to detect the independent predictors of AKI and any kind of kidney function damage. Results A nadir $ DO_{2} $ level < 262 mL/minute/$ m^{2} $ and a nadir $ DO_{2} $/$ VCO_{2} $ ratio < 5.3 were independently associated with AKI within a model including EuroSCORE and CPB duration. Patients with nadir $ DO_{2} $ levels and nadir $ DO_{2} $/$ VCO_{2} $ ratios below the identified cutoff values during CPB had a significantly higher rate of AKI stage 2 (odds ratios 3.1 and 2.9, respectively). The negative predictive power of both variables exceeded 90%. The most accurate predictor of AKI stage 2 postoperative status was the nadir $ DO_{2} $ level. Conclusions The nadir $ DO_{2} $ level during CPB is independently associated with postoperative AKI. The measurement of $ VCO_{2} $-related variables does not add accuracy to the AKI prediction. Since $ DO_{2} $ during CPB is a modifiable factor (through pump flow adjustments), this study generates the hypothesis that goal-directed perfusion management aimed at maintaining the $ DO_{2} $ level above the identified critical value might limit the incidence of postoperative AKI. © de Somer et al.; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( |
abstractGer |
Introduction Acute kidney injury (AKI) is common after cardiac operations. There are different risk factors or determinants of AKI, and some are related to cardiopulmonary bypass (CPB). In this study, we explored the association between metabolic parameters (oxygen delivery ($ DO_{2} $) and carbon dioxide production ($ VCO_{2} $)) during CPB with postoperative AKI. Methods We conducted a retrospective analysis of prospectively collected data at two different institutions. The study population included 359 adult patients. The $ DO_{2} $ and $ VCO_{2} $ levels of each patient were monitored during CPB. Outcome variables were related to kidney function (peak postoperative serum creatinine increase and AKI stage 1 or 2). The experimental hypothesis was that nadir $ DO_{2} $ values and nadir $ DO_{2} $/$ VCO_{2} $ ratios during CPB would be independent predictors of AKI. Multivariable logistic regression models were built to detect the independent predictors of AKI and any kind of kidney function damage. Results A nadir $ DO_{2} $ level < 262 mL/minute/$ m^{2} $ and a nadir $ DO_{2} $/$ VCO_{2} $ ratio < 5.3 were independently associated with AKI within a model including EuroSCORE and CPB duration. Patients with nadir $ DO_{2} $ levels and nadir $ DO_{2} $/$ VCO_{2} $ ratios below the identified cutoff values during CPB had a significantly higher rate of AKI stage 2 (odds ratios 3.1 and 2.9, respectively). The negative predictive power of both variables exceeded 90%. The most accurate predictor of AKI stage 2 postoperative status was the nadir $ DO_{2} $ level. Conclusions The nadir $ DO_{2} $ level during CPB is independently associated with postoperative AKI. The measurement of $ VCO_{2} $-related variables does not add accuracy to the AKI prediction. Since $ DO_{2} $ during CPB is a modifiable factor (through pump flow adjustments), this study generates the hypothesis that goal-directed perfusion management aimed at maintaining the $ DO_{2} $ level above the identified critical value might limit the incidence of postoperative AKI. © de Somer et al.; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( |
abstract_unstemmed |
Introduction Acute kidney injury (AKI) is common after cardiac operations. There are different risk factors or determinants of AKI, and some are related to cardiopulmonary bypass (CPB). In this study, we explored the association between metabolic parameters (oxygen delivery ($ DO_{2} $) and carbon dioxide production ($ VCO_{2} $)) during CPB with postoperative AKI. Methods We conducted a retrospective analysis of prospectively collected data at two different institutions. The study population included 359 adult patients. The $ DO_{2} $ and $ VCO_{2} $ levels of each patient were monitored during CPB. Outcome variables were related to kidney function (peak postoperative serum creatinine increase and AKI stage 1 or 2). The experimental hypothesis was that nadir $ DO_{2} $ values and nadir $ DO_{2} $/$ VCO_{2} $ ratios during CPB would be independent predictors of AKI. Multivariable logistic regression models were built to detect the independent predictors of AKI and any kind of kidney function damage. Results A nadir $ DO_{2} $ level < 262 mL/minute/$ m^{2} $ and a nadir $ DO_{2} $/$ VCO_{2} $ ratio < 5.3 were independently associated with AKI within a model including EuroSCORE and CPB duration. Patients with nadir $ DO_{2} $ levels and nadir $ DO_{2} $/$ VCO_{2} $ ratios below the identified cutoff values during CPB had a significantly higher rate of AKI stage 2 (odds ratios 3.1 and 2.9, respectively). The negative predictive power of both variables exceeded 90%. The most accurate predictor of AKI stage 2 postoperative status was the nadir $ DO_{2} $ level. Conclusions The nadir $ DO_{2} $ level during CPB is independently associated with postoperative AKI. The measurement of $ VCO_{2} $-related variables does not add accuracy to the AKI prediction. Since $ DO_{2} $ during CPB is a modifiable factor (through pump flow adjustments), this study generates the hypothesis that goal-directed perfusion management aimed at maintaining the $ DO_{2} $ level above the identified critical value might limit the incidence of postoperative AKI. © de Somer et al.; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 |
container_issue |
4 |
title_short |
$ O_{2} $ delivery and $ CO_{2} $ production during cardiopulmonary bypass as determinants of acute kidney injury: time for a goal-directed perfusion management? |
url |
https://dx.doi.org/10.1186/cc10349 |
remote_bool |
true |
author2 |
Mulholland, John W Bryan, Megan R Aloisio, Tommaso Van Nooten, Guido J Ranucci, Marco |
author2Str |
Mulholland, John W Bryan, Megan R Aloisio, Tommaso Van Nooten, Guido J Ranucci, Marco |
ppnlink |
331258269 |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.1186/cc10349 |
up_date |
2024-07-04T02:26:14.586Z |
_version_ |
1803613607912538112 |
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">SPR02983077X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519090107.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2011 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/cc10349</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR02983077X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)cc10349-e</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="1" ind2=" "><subfield code="a">de Somer, Filip</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">$ O_{2} $ delivery and $ CO_{2} $ production during cardiopulmonary bypass as determinants of acute kidney injury: time for a goal-directed perfusion management?</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2011</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="500" ind1=" " ind2=" "><subfield code="a">© de Somer et al.; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Introduction Acute kidney injury (AKI) is common after cardiac operations. There are different risk factors or determinants of AKI, and some are related to cardiopulmonary bypass (CPB). In this study, we explored the association between metabolic parameters (oxygen delivery ($ DO_{2} $) and carbon dioxide production ($ VCO_{2} $)) during CPB with postoperative AKI. Methods We conducted a retrospective analysis of prospectively collected data at two different institutions. The study population included 359 adult patients. The $ DO_{2} $ and $ VCO_{2} $ levels of each patient were monitored during CPB. Outcome variables were related to kidney function (peak postoperative serum creatinine increase and AKI stage 1 or 2). The experimental hypothesis was that nadir $ DO_{2} $ values and nadir $ DO_{2} $/$ VCO_{2} $ ratios during CPB would be independent predictors of AKI. Multivariable logistic regression models were built to detect the independent predictors of AKI and any kind of kidney function damage. Results A nadir $ DO_{2} $ level < 262 mL/minute/$ m^{2} $ and a nadir $ DO_{2} $/$ VCO_{2} $ ratio < 5.3 were independently associated with AKI within a model including EuroSCORE and CPB duration. Patients with nadir $ DO_{2} $ levels and nadir $ DO_{2} $/$ VCO_{2} $ ratios below the identified cutoff values during CPB had a significantly higher rate of AKI stage 2 (odds ratios 3.1 and 2.9, respectively). The negative predictive power of both variables exceeded 90%. The most accurate predictor of AKI stage 2 postoperative status was the nadir $ DO_{2} $ level. Conclusions The nadir $ DO_{2} $ level during CPB is independently associated with postoperative AKI. The measurement of $ VCO_{2} $-related variables does not add accuracy to the AKI prediction. Since $ DO_{2} $ during CPB is a modifiable factor (through pump flow adjustments), this study generates the hypothesis that goal-directed perfusion management aimed at maintaining the $ DO_{2} $ level above the identified critical value might limit the incidence of postoperative AKI.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Acute Kidney Injury</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pump Flow</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Acute Kidney Injury Stage</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Postoperative Renal Function</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Negative Predictive Power</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mulholland, John W</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bryan, Megan R</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Aloisio, Tommaso</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Van Nooten, Guido J</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ranucci, Marco</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Critical care</subfield><subfield code="d">London : BioMed Central, 1997</subfield><subfield code="g">15(2011), 4 vom: 10. Aug.</subfield><subfield code="w">(DE-627)331258269</subfield><subfield code="w">(DE-600)2051256-9</subfield><subfield code="x">1364-8535</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:15</subfield><subfield code="g">year:2011</subfield><subfield code="g">number:4</subfield><subfield code="g">day:10</subfield><subfield code="g">month:08</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1186/cc10349</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</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_SPRINGER</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_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">15</subfield><subfield code="j">2011</subfield><subfield code="e">4</subfield><subfield code="b">10</subfield><subfield code="c">08</subfield></datafield></record></collection>
|
score |
7.399811 |