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Associations between oxygen delivery and cardiac index with hyperlactatemia during cardiopulmonary bypass

OBJECTIVE: Metabolism management plays an essential role during cardiopulmonary bypass (CPB). There are different metabolic management devices integrated to heart–lung machines; the most commonly used and accepted metabolic target is indexed oxygen delivery (DO(2i)) (280 mL/min/m(2)) and cardiac ind...

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Autores principales: Condello, Ignazio, Santarpino, Giuseppe, Nasso, Giuseppe, Moscarelli, Marco, Fiore, Flavio, Speziale, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299069/
https://www.ncbi.nlm.nih.gov/pubmed/34317766
http://dx.doi.org/10.1016/j.xjtc.2020.04.001
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author Condello, Ignazio
Santarpino, Giuseppe
Nasso, Giuseppe
Moscarelli, Marco
Fiore, Flavio
Speziale, Giuseppe
author_facet Condello, Ignazio
Santarpino, Giuseppe
Nasso, Giuseppe
Moscarelli, Marco
Fiore, Flavio
Speziale, Giuseppe
author_sort Condello, Ignazio
collection PubMed
description OBJECTIVE: Metabolism management plays an essential role during cardiopulmonary bypass (CPB). There are different metabolic management devices integrated to heart–lung machines; the most commonly used and accepted metabolic target is indexed oxygen delivery (DO(2i)) (280 mL/min/m(2)) and cardiac index (CI) (2.4 L/min/m(2)), which can be managed independently or according to other metabolic parameters. Our objective was to compare lactate production during CPB procedures using different metabolic management: DO(2i) in relation to indexed oxygen extraction ratio (O(2)ER(i)) and CI in relation to mixed venous oxygen saturation (SvO(2)). METHODS: Data on 500 CPB procedures were retrospectively collected in a specialized regional tertiary cardiac surgery center in Italy between September and 2012 and November 2019. In group A, the DO(2i) with 280 mL/min/m(2) target in relation to O(2)ER(i) 25% was used; in group B, CI with 2.4 L/min/m(2) target in relation to SvO(2) 75% was used. During CPB, serial arterial blood gas analyses with blood lactate and glucose determinations were obtained. Hyperlactatemia (HL) was defined as a peak arterial blood lactate concentration >3 mmol/L. The postoperative outcome of patients with or without HL was compared. RESULTS: Eight pre- and intraoperative factors were found to be significantly associated with peak blood lactate level during CPB at univariate analysis. HL (>3 mmol/L) was detected in 15 (6%) patients of group A and in 42 (16.8%) patients of group B (P = .022); hyperglycemia (>160 mg/dL) was found in 23 (9.2%) patients of group A and in 53 (21.2%) patients of group B (P = .038). Patients with HL during CPB had a significant increase in serum creatinine value, higher rate of prolonged mechanical ventilation time and intensive care unit stay. A cutoff of DO(2i) <270 mL/min/m(2) in relation to O(2)ER(i) >35% in group A and a cutoff of CI <2.4 L/min/m(2) in relation to SvO(2) <65% in group B were found to have a positive predictive value of 80% and 75% for HL, respectively. A cutoff of DO(2i) >290 mL/min/m(2) in relation to O(2)ER(i) 24% in group A and a cutoff of CI >2.4 L/min/m(2) in relation to SvO(2) >75% in group B were found to have a negative predictive value of 78% and 62% for HL, respectively. CONCLUSIONS: This retrospective observational analysis showed that management of DO(2i) in relation to O(2)ER(i) was 16% more specific in terms of negative predictive value for HL during CPB compared with the use of CI in relation to SvO(2). Group A reported a significant reduction in the incidence of intraoperative lactate peak, correlated with postoperative reduction of serum creatinine value, mechanical ventilation time, and intensive care unit stay, compared with group B.
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spelling pubmed-82990692021-07-26 Associations between oxygen delivery and cardiac index with hyperlactatemia during cardiopulmonary bypass Condello, Ignazio Santarpino, Giuseppe Nasso, Giuseppe Moscarelli, Marco Fiore, Flavio Speziale, Giuseppe JTCVS Tech Adult: Perioperative Management OBJECTIVE: Metabolism management plays an essential role during cardiopulmonary bypass (CPB). There are different metabolic management devices integrated to heart–lung machines; the most commonly used and accepted metabolic target is indexed oxygen delivery (DO(2i)) (280 mL/min/m(2)) and cardiac index (CI) (2.4 L/min/m(2)), which can be managed independently or according to other metabolic parameters. Our objective was to compare lactate production during CPB procedures using different metabolic management: DO(2i) in relation to indexed oxygen extraction ratio (O(2)ER(i)) and CI in relation to mixed venous oxygen saturation (SvO(2)). METHODS: Data on 500 CPB procedures were retrospectively collected in a specialized regional tertiary cardiac surgery center in Italy between September and 2012 and November 2019. In group A, the DO(2i) with 280 mL/min/m(2) target in relation to O(2)ER(i) 25% was used; in group B, CI with 2.4 L/min/m(2) target in relation to SvO(2) 75% was used. During CPB, serial arterial blood gas analyses with blood lactate and glucose determinations were obtained. Hyperlactatemia (HL) was defined as a peak arterial blood lactate concentration >3 mmol/L. The postoperative outcome of patients with or without HL was compared. RESULTS: Eight pre- and intraoperative factors were found to be significantly associated with peak blood lactate level during CPB at univariate analysis. HL (>3 mmol/L) was detected in 15 (6%) patients of group A and in 42 (16.8%) patients of group B (P = .022); hyperglycemia (>160 mg/dL) was found in 23 (9.2%) patients of group A and in 53 (21.2%) patients of group B (P = .038). Patients with HL during CPB had a significant increase in serum creatinine value, higher rate of prolonged mechanical ventilation time and intensive care unit stay. A cutoff of DO(2i) <270 mL/min/m(2) in relation to O(2)ER(i) >35% in group A and a cutoff of CI <2.4 L/min/m(2) in relation to SvO(2) <65% in group B were found to have a positive predictive value of 80% and 75% for HL, respectively. A cutoff of DO(2i) >290 mL/min/m(2) in relation to O(2)ER(i) 24% in group A and a cutoff of CI >2.4 L/min/m(2) in relation to SvO(2) >75% in group B were found to have a negative predictive value of 78% and 62% for HL, respectively. CONCLUSIONS: This retrospective observational analysis showed that management of DO(2i) in relation to O(2)ER(i) was 16% more specific in terms of negative predictive value for HL during CPB compared with the use of CI in relation to SvO(2). Group A reported a significant reduction in the incidence of intraoperative lactate peak, correlated with postoperative reduction of serum creatinine value, mechanical ventilation time, and intensive care unit stay, compared with group B. Elsevier 2020-04-13 /pmc/articles/PMC8299069/ /pubmed/34317766 http://dx.doi.org/10.1016/j.xjtc.2020.04.001 Text en © 2020 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Adult: Perioperative Management
Condello, Ignazio
Santarpino, Giuseppe
Nasso, Giuseppe
Moscarelli, Marco
Fiore, Flavio
Speziale, Giuseppe
Associations between oxygen delivery and cardiac index with hyperlactatemia during cardiopulmonary bypass
title Associations between oxygen delivery and cardiac index with hyperlactatemia during cardiopulmonary bypass
title_full Associations between oxygen delivery and cardiac index with hyperlactatemia during cardiopulmonary bypass
title_fullStr Associations between oxygen delivery and cardiac index with hyperlactatemia during cardiopulmonary bypass
title_full_unstemmed Associations between oxygen delivery and cardiac index with hyperlactatemia during cardiopulmonary bypass
title_short Associations between oxygen delivery and cardiac index with hyperlactatemia during cardiopulmonary bypass
title_sort associations between oxygen delivery and cardiac index with hyperlactatemia during cardiopulmonary bypass
topic Adult: Perioperative Management
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299069/
https://www.ncbi.nlm.nih.gov/pubmed/34317766
http://dx.doi.org/10.1016/j.xjtc.2020.04.001
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