One Index Does Not Predict All-Hematological Derived Indices Have Different Predictive Value for ICU Mortality in
Emanuel Moisa1,2, Silvius Ioan Negoita1,2, Claudia Mihail2
1Department of Anesthesiology and Critical Care, Faculty of Medicine, 'Carol Davila' University of Medicine and Pharmacy, 020021 Bucharest, Romania.
Insights
Derived hematological indices like MLR and SIRI predict intensive care unit mortality in non-infectious COPD exacerbations, while NPR is key for bacterial cases, aiding personalized prognostication.
Area of Science:
- Critical Care Medicine
- Pulmonology
- Hematology
Background:
- Acute exacerbation of COPD (AECOPD) significantly increases morbidity and mortality, especially in critically ill patients.
- Prognostic markers are needed to address both respiratory failure and systemic inflammation in AECOPD.
- This study investigates hematological indices for predicting intensive care unit (ICU) mortality in AECOPD.
Purpose of the Study:
- To evaluate the predictive power of derived hematological indices for ICU mortality in patients with non-infectious versus infectious AECOPD.
- To identify specific indices that can differentiate outcomes based on AECOPD etiology.
- To inform individualized prognostication strategies for AECOPD patients.
Main Methods:
- Retrospective, observational, monocentric cohort study of 88 AECOPD patients admitted to the ICU (2018-2023).
- Descriptive statistics and Receiver Operating Characteristics (ROC) analysis were used to assess predictive power of hematological indices.
- Kaplan-Meier analysis examined the association between indices and ICU mortality.
Main Results:
- Overall ICU mortality was 44%. Neutrophil-to-lymphocyte ratio (NLR), neutrophil-to-platelets ratio (NPR), and systemic inflammation response index (SIRI) showed moderate predictive power (AUC 0.71-0.73) in the whole cohort.
- In non-infectious AECOPD, monocyte-to-lymphocyte ratio (MLR) and SIRI demonstrated very good predictive power (AUC 0.82-0.855).
- In infectious AECOPD, NPR showed fair predictive power (AUC 0.691), improving in bacterial AECOPD (AUC 0.781).
Conclusions:
- Derived hematological indices possess varying predictive values for ICU mortality in AECOPD.
- MLR and SIRI are strong predictors in non-infectious AECOPD, while NPR is most effective for bacterial AECOPD.
- These findings underscore the need for individualized prognostication in managing AECOPD patients.
Abstract:
Background and Objectives: Acute exacerbation of COPD (AECOPD) poses a major burden on healthcare systems, with critically ill AECOPD patients having increased morbidity and mortality. Since adverse outcomes are due both to respiratory failure and the systemic inflammatory response, prognostic markers accounting for these patterns are needed. Our aim was to investigate the predictive power of derived hematological indices for intensive care unit (ICU) mortality in patients with non-infectious versus infectious AECOPD. Materials and Methods: This is a retrospective, observational, monocentric cohort study on 88 AECOPD patients admitted to the ICU between 2018 and 2023. Descriptive statistics were performed for the entire cohort, and for predefined subgroups (non-infectious, infectious and bacterial AECOPD). Receiver Operating Characteristics (ROC) analysis was performed to test the predictive power of the studied indices. Cut-off values were identified using the Youden index. Kaplan-Meier analysis was conducted to test the association with ICU mortality. Results: Overall ICU mortality was 44%. For the whole cohort, neutrophil-to-lymphocyte ratio (NLR), neutrophil-to-platelets ratio (NPR) and systemic inflammation response index (SIRI) showed moderate predictive power for ICU mortality (areas under the curve (AUCs) of 0.71-0.73). Non-infectious and infectious subgroups were comparable in terms of size, demographics, comorbidities and baseline COPD characteristics (p > 0.05). Mortality was significantly higher in infectious AECOPD (64.6% versus 20%, p < 0.001). For non-infectious AECOPD, monocyte-to-lymphocyte ratio (MLR) and SIRI had very good predictive power (AUCs between 0.82 and 0.855), while NPR and systemic inflammation index (SII) showed moderate AUC values (between 0.7 and 0.79). In infectious AECOPD, only NPR retained fair predictive power (AUC 0.691), which improved in bacterial AECOPD (AUC 0.781). Conclusions: Derived hematological indices have different predictive values for ICU mortality. MLR and SIRI exhibited very good predictive power in non-infectious AECOPD, while NPR was the best discriminator in bacterial AECOPD. These stress the importance of individualized prognostication in AECOPD.
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