Role of Preoperative Inflammatory Blood Cell Indexes as a Postoperative Risk Predictor Among Patients Undergoing On-Pump Cardiac Surgery

Estimating patient risk before heart surgery (HS) is crucial. Perioperative inflammation is associated with several complications and mortality. This study investigated blood cell count inflammatory indices (BCCII) to predict risks, including neutrophil-to-lymphocyte ratio (NLR), derivate NLR (DNLR)...

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Published inInternational journal of laboratory hematology
Main Authors Rödel, Ana Paula Porto, Fernandes, Yasmin Machado, Brisolara, João Victor, De Carvalho, José Antonio Mainardi, Moresco, Rafael Noal
Format Journal Article
LanguageEnglish
Published England 26.10.2024
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Abstract Estimating patient risk before heart surgery (HS) is crucial. Perioperative inflammation is associated with several complications and mortality. This study investigated blood cell count inflammatory indices (BCCII) to predict risks, including neutrophil-to-lymphocyte ratio (NLR), derivate NLR (DNLR), neutrophil-to-platelet-lymphocyte ratio (NLPR), lymphocyte-to-monocyte ratio, platelet-to-lymphocyte ratio (PLR), Systemic Inflammatory Index (SII), Systemic Inflammatory Reaction Index (SIRI), and Aggregate Index of Systemic Inflammation (AISI). Data from a cohort of patients undergoing on-pump HS at a single center in Brazil were retrospectively analyzed. Data were obtained from medical records and a laboratory analyzer, and SPSS version 20.0 was used for index calculations and statistical analyses. In total, 444 surgeries were performed, and 40 in-hospital deaths occurred. Except for PLR, all other indexes were independent predictors of death after multivariate adjustment (all p < 0.05). Discrimination performance was absent for PLR and AISI, and NLR, NLPR, and DNLR demonstrated the best area under the receiver operating characteristic curve (AUC > 0.7; all p < 0.0001). For survivors (n = 404), all indexes exhibited a correlation with the length of hospital stay (all p < 0.03), and NLR, NLPR, and DNLR were predictors (p < 0.026) of poor operative outcomes (acute myocardial infarction, cerebrovascular attack, cardiac arrest, low cardiac output, prolonged mechanical ventilation, renal failure, and sepsis). All BCCII scores were associated with length of hospital stay. Apart from PLR, all indexes were independent predictors of in-hospital mortality. Accuracy was highest for NLR, NLPR, and DNLR; for survivors, these three factors were good predictors of poor operative outcomes.
AbstractList ABSTRACT Introduction Estimating patient risk before heart surgery (HS) is crucial. Perioperative inflammation is associated with several complications and mortality. This study investigated blood cell count inflammatory indices (BCCII) to predict risks, including neutrophil‐to‐lymphocyte ratio (NLR), derivate NLR (DNLR), neutrophil‐to‐platelet‐lymphocyte ratio (NLPR), lymphocyte‐to‐monocyte ratio, platelet‐to‐lymphocyte ratio (PLR), Systemic Inflammatory Index (SII), Systemic Inflammatory Reaction Index (SIRI), and Aggregate Index of Systemic Inflammation (AISI). Methods Data from a cohort of patients undergoing on‐pump HS at a single center in Brazil were retrospectively analyzed. Data were obtained from medical records and a laboratory analyzer, and SPSS version 20.0 was used for index calculations and statistical analyses. Results In total, 444 surgeries were performed, and 40 in‐hospital deaths occurred. Except for PLR, all other indexes were independent predictors of death after multivariate adjustment (all p < 0.05). Discrimination performance was absent for PLR and AISI, and NLR, NLPR, and DNLR demonstrated the best area under the receiver operating characteristic curve (AUC > 0.7; all p < 0.0001). For survivors ( n = 404), all indexes exhibited a correlation with the length of hospital stay (all p < 0.03), and NLR, NLPR, and DNLR were predictors ( p < 0.026) of poor operative outcomes (acute myocardial infarction, cerebrovascular attack, cardiac arrest, low cardiac output, prolonged mechanical ventilation, renal failure, and sepsis). Conclusions All BCCII scores were associated with length of hospital stay. Apart from PLR, all indexes were independent predictors of in‐hospital mortality. Accuracy was highest for NLR, NLPR, and DNLR; for survivors, these three factors were good predictors of poor operative outcomes.
Estimating patient risk before heart surgery (HS) is crucial. Perioperative inflammation is associated with several complications and mortality. This study investigated blood cell count inflammatory indices (BCCII) to predict risks, including neutrophil-to-lymphocyte ratio (NLR), derivate NLR (DNLR), neutrophil-to-platelet-lymphocyte ratio (NLPR), lymphocyte-to-monocyte ratio, platelet-to-lymphocyte ratio (PLR), Systemic Inflammatory Index (SII), Systemic Inflammatory Reaction Index (SIRI), and Aggregate Index of Systemic Inflammation (AISI). Data from a cohort of patients undergoing on-pump HS at a single center in Brazil were retrospectively analyzed. Data were obtained from medical records and a laboratory analyzer, and SPSS version 20.0 was used for index calculations and statistical analyses. In total, 444 surgeries were performed, and 40 in-hospital deaths occurred. Except for PLR, all other indexes were independent predictors of death after multivariate adjustment (all p < 0.05). Discrimination performance was absent for PLR and AISI, and NLR, NLPR, and DNLR demonstrated the best area under the receiver operating characteristic curve (AUC > 0.7; all p < 0.0001). For survivors (n = 404), all indexes exhibited a correlation with the length of hospital stay (all p < 0.03), and NLR, NLPR, and DNLR were predictors (p < 0.026) of poor operative outcomes (acute myocardial infarction, cerebrovascular attack, cardiac arrest, low cardiac output, prolonged mechanical ventilation, renal failure, and sepsis). All BCCII scores were associated with length of hospital stay. Apart from PLR, all indexes were independent predictors of in-hospital mortality. Accuracy was highest for NLR, NLPR, and DNLR; for survivors, these three factors were good predictors of poor operative outcomes.
Estimating patient risk before heart surgery (HS) is crucial. Perioperative inflammation is associated with several complications and mortality. This study investigated blood cell count inflammatory indices (BCCII) to predict risks, including neutrophil-to-lymphocyte ratio (NLR), derivate NLR (DNLR), neutrophil-to-platelet-lymphocyte ratio (NLPR), lymphocyte-to-monocyte ratio, platelet-to-lymphocyte ratio (PLR), Systemic Inflammatory Index (SII), Systemic Inflammatory Reaction Index (SIRI), and Aggregate Index of Systemic Inflammation (AISI).INTRODUCTIONEstimating patient risk before heart surgery (HS) is crucial. Perioperative inflammation is associated with several complications and mortality. This study investigated blood cell count inflammatory indices (BCCII) to predict risks, including neutrophil-to-lymphocyte ratio (NLR), derivate NLR (DNLR), neutrophil-to-platelet-lymphocyte ratio (NLPR), lymphocyte-to-monocyte ratio, platelet-to-lymphocyte ratio (PLR), Systemic Inflammatory Index (SII), Systemic Inflammatory Reaction Index (SIRI), and Aggregate Index of Systemic Inflammation (AISI).Data from a cohort of patients undergoing on-pump HS at a single center in Brazil were retrospectively analyzed. Data were obtained from medical records and a laboratory analyzer, and SPSS version 20.0 was used for index calculations and statistical analyses.METHODSData from a cohort of patients undergoing on-pump HS at a single center in Brazil were retrospectively analyzed. Data were obtained from medical records and a laboratory analyzer, and SPSS version 20.0 was used for index calculations and statistical analyses.In total, 444 surgeries were performed, and 40 in-hospital deaths occurred. Except for PLR, all other indexes were independent predictors of death after multivariate adjustment (all p < 0.05). Discrimination performance was absent for PLR and AISI, and NLR, NLPR, and DNLR demonstrated the best area under the receiver operating characteristic curve (AUC > 0.7; all p < 0.0001). For survivors (n = 404), all indexes exhibited a correlation with the length of hospital stay (all p < 0.03), and NLR, NLPR, and DNLR were predictors (p < 0.026) of poor operative outcomes (acute myocardial infarction, cerebrovascular attack, cardiac arrest, low cardiac output, prolonged mechanical ventilation, renal failure, and sepsis).RESULTSIn total, 444 surgeries were performed, and 40 in-hospital deaths occurred. Except for PLR, all other indexes were independent predictors of death after multivariate adjustment (all p < 0.05). Discrimination performance was absent for PLR and AISI, and NLR, NLPR, and DNLR demonstrated the best area under the receiver operating characteristic curve (AUC > 0.7; all p < 0.0001). For survivors (n = 404), all indexes exhibited a correlation with the length of hospital stay (all p < 0.03), and NLR, NLPR, and DNLR were predictors (p < 0.026) of poor operative outcomes (acute myocardial infarction, cerebrovascular attack, cardiac arrest, low cardiac output, prolonged mechanical ventilation, renal failure, and sepsis).All BCCII scores were associated with length of hospital stay. Apart from PLR, all indexes were independent predictors of in-hospital mortality. Accuracy was highest for NLR, NLPR, and DNLR; for survivors, these three factors were good predictors of poor operative outcomes.CONCLUSIONSAll BCCII scores were associated with length of hospital stay. Apart from PLR, all indexes were independent predictors of in-hospital mortality. Accuracy was highest for NLR, NLPR, and DNLR; for survivors, these three factors were good predictors of poor operative outcomes.
Author De Carvalho, José Antonio Mainardi
Fernandes, Yasmin Machado
Brisolara, João Victor
Rödel, Ana Paula Porto
Moresco, Rafael Noal
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heart surgery
neutrophils
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Snippet Estimating patient risk before heart surgery (HS) is crucial. Perioperative inflammation is associated with several complications and mortality. This study...
ABSTRACT Introduction Estimating patient risk before heart surgery (HS) is crucial. Perioperative inflammation is associated with several complications and...
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Title Role of Preoperative Inflammatory Blood Cell Indexes as a Postoperative Risk Predictor Among Patients Undergoing On-Pump Cardiac Surgery
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