Central venous-to-arterial PCO2 difference, arteriovenous oxygen content and outcome after adult cardiac surgery with cardiopulmonary bypass

Moussa, Mouhamed Djahoum; Durand, Arthur; Leroy, G; Liu, Vincent; Lamer, Antoine; Gantois, Guillaume; Joulin, Olivier; Ait-Ouarab, Slimane; Deblauwe, Delphine; Caroline, Brandt; Decoene, Christophe; Vincentelli, André; Vallet, B.; Labreuche, Julien; Kipnis, Éric; Robin, Emmanuel

doi:10.1097/eja.0000000000000949

Cited by 11 publications

(17 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Among these factors, elevated D-dimer and lymphopenia have been reported to be associated with death [3,4,7]. An SaO 2 rate below 93% (normal range is 95% to 100%) has long been considered a sign of underlying hypoxia and impending organ failure [13,14]. For COVID-19, SaO 2 is also a good indicator for the disease progression [15], which is also confirmed by our models.…”

Section: Discussionsupporting

confidence: 81%

Scores based on neutrophil percentage and lactate dehydrogenase with or without oxygen saturation predict hospital mortality risk in severe COVID-19 patients

Fan

Zhu

Nouri‐Vaskeh

et al. 2021

Virol J

View full text Add to dashboard Cite

Background Risk scores are needed to predict the risk of death in severe coronavirus disease 2019 (COVID-19) patients in the context of rapid disease progression. Methods Using data from China (training dataset, n = 96), prediction models were developed by logistic regression and then risk scores were established. Leave-one-out cross validation was used for internal validation and data from Iran (test dataset, n = 43) was used for external validation. Results A NSL model (area under the curve (AUC) 0.932) and a NL model (AUC 0.903) were developed based on neutrophil percentage and lactate dehydrogenase with and without oxygen saturation (SaO2) using the training dataset. AUCs of the NSL and NL models in the test dataset were 0.910 and 0.871, respectively. The risk scoring systems corresponding to these two models were established. The AUCs of the NSL and NL scores in the training dataset were 0.928 and 0.901, respectively. At the optimal cut-off value of NSL score, the sensitivity and specificity were 94% and 82%, respectively. The sensitivity and specificity of NL score were 94% and 75%, respectively. Conclusions These scores may be used to predict the risk of death in severe COVID-19 patients and the NL score could be used in regions where patients' SaO2 cannot be tested.

show abstract

Section: Discussionsupporting

confidence: 81%

Scores based on neutrophil percentage and lactate dehydrogenase with or without oxygen saturation predict hospital mortality risk in severe COVID-19 patients

Fan

Zhu

Nouri‐Vaskeh

et al. 2021

Virol J

View full text Add to dashboard Cite

show abstract

“…Among these factors, elevated D-dimer and lymphopenia have been reported to be associated with death [3,4,7]. An SaO 2 rate below 93% (normal range is 95% to 100%) has long been considered a sign of underlying hypoxia and impending organ failure [13,14]. For COVID 19, SaO 2 is also a good indicator for the disease progression [15], which was also con rmed in our study.…”

Section: Discussionsupporting

confidence: 85%

Scores based on neutrophil percentage and lactate dehydrogenase with or without oxygen saturation predict the risk of hospital mortality in severe COVID-19 patients

Fan¹,

Zhu²,

Nouri‐Vaskeh³

et al. 2020

Preprint

View full text Add to dashboard Cite

Background. Risk scores are urgently needed to assist clinicians in predicting the risk of death in severe patients with SARS-CoV-2 infection in the context of millions of people infected, rapid disease progression, and shortage of medical resources.Method. A total of 139 severe patients with SARS-CoV-2 from China and Iran were included. Using data from China (training dataset, n = 96), prediction models were developed based on logistic regression models, nomogram and risk scoring system for simplification. Leave-one-out cross validation was used for internal validation and data from Iran (test dataset, n = 43) for external validation. Results. The NSL model (Area under the curve (AUC) 0.932) and NL model (AUC 0.903) were developed based on neutrophil percentage (NE), lactate dehydrogenase (LDH) with or without oxygen saturation (SaO2) using the training dataset. Compared with the training dataset, the predictability of NSL model (AUC 0.910) and NL model (AUC 0.871) were similar in the test dataset. The risk scoring systems corresponding to these two models were established for clinical application. The AUCs of the NSL and NL scores were 0.928 and 0.901 in the training dataset, respectively. At the optimal cut-off value of NSL score, the sensitivity was 94% and specificity was 82%. In addition, for NL score, the sensitivity and specificity were 94% and 75%, respectively.Conclusion. NSL and NL score are straightforward means for clinicians to predict the risk of death in severe patients. NL score could be used in selected regions where patients’ SaO2 cannot be tested.

show abstract

“…Estas incluyeron: falla cardíaca, arritmias cardíacas, elevación de la creatininemia, ictericia y prolongación de la ventilación mecánica. Otros autores [33] encuentran, mediante análisis de multivariante, que Dp v-a CO 2 a las 2 horas de ingreso a la Unidad de Cuidados Intensivos (UCI) fue el único biomarcador independientemente asociado a complicaciones mayores, no así para el resto de los tiempos de medida dentro del primer día de postoperatorio. El cociente Dp v-a CO 2 /C (a-v) O 2 fue similar entre grupos y no se asoció a complicaciones postoperatorias.…”

Section: Resultsunclassified

Utilidad de las medidas derivadas de la presión parcial de CO2 en pacientes adultos sometidos cirugía cardíaca con circulación extracorpórea

Illescas¹,

Kohn²,

Bouchacourt³

et al. 2019

Rev. chil. anest.

View full text Add to dashboard Cite

Background:In critical patients, it has been proposed to measure the parameters derived from partial CO 2 pressures as indicators of adequate peripheral perfusion and tissue oxygenation. Its use in cardiac surgery (CC) with extracorporeal circulation (CPB) is not yet elucidated. Primary objective: To determine the utility of Dp v-a CO 2 and the quotient Dp v-a CO 2 /C a-v O 2 as indicators of cardiac output and anaerobic metabolism. As a secondary objective: to study the prognostic value of both, in adult patients undergoing CC with CPB. Methods: A literature search was carried out on: PubMed, EBSCOhost, LILACS, SciELO, COCHRANE and on the SCIENCE DIRECT website. 12 original articles were selected. Results: 7 studies analyzed the Dp v-a CO 2 and 2 the quotient Dp v-a CO 2 / C a-v O 2 . There was no relationship between these variables with the cardiac output, S v O 2 , S vc O 2 and lactate or this was statistically very weak, so its clinical relevance was questionable. 7 studies analyzed the prognostic value Dp v-a CO 2 and/or Dp v-a CO 2 /C a-v O 2 in terms of postoperative complications and/or morta-

show abstract

Central venous-to-arterial PCO2 difference, arteriovenous oxygen content and outcome after adult cardiac surgery with cardiopulmonary bypass

Cited by 11 publications

References 49 publications

Scores based on neutrophil percentage and lactate dehydrogenase with or without oxygen saturation predict hospital mortality risk in severe COVID-19 patients

Scores based on neutrophil percentage and lactate dehydrogenase with or without oxygen saturation predict hospital mortality risk in severe COVID-19 patients

Scores based on neutrophil percentage and lactate dehydrogenase with or without oxygen saturation predict the risk of hospital mortality in severe COVID-19 patients

Utilidad de las medidas derivadas de la presión parcial de CO2 en pacientes adultos sometidos cirugía cardíaca con circulación extracorpórea

Contact Info

Product

Resources

About