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Predictive Significance of Admission-Day Blood Routine-Derived Indices for 30-Day Mortality Risk in Elderly Patients
Xiaoling Huang1, Lihua Huang2, Shicai Zhao1
1Department of Respiratory, Sichuan Provincial People's Hospital East Sichuan Hospital & Dazhou First People's Hospital, Dazhou, Sichuan, People's Republic of China.
Routine blood test indices like NLR, SII, SIRI, and NMLR can help predict 30-day mortality in elderly patients with bacterial pneumonia. Elevated levels of these hematological markers indicate a higher risk of death within 30 days.
Area of Science:
- Geriatric Medicine
- Infectious Diseases
- Hematology
Background:
- Bacterial pneumonia poses a significant mortality risk in elderly patients.
- Early identification of high-risk individuals is crucial for timely intervention.
- Hematological indices offer a readily available tool for risk assessment.
Purpose of the Study:
- To evaluate the prognostic value of routine hematological indices in predicting 30-day mortality.
- To identify key hematological markers associated with increased mortality risk in elderly bacterial pneumonia patients.
Main Methods:
- Retrospective analysis of 292 elderly patients with bacterial pneumonia.
- Propensity score matching to compare survival and mortality groups.
- Statistical analyses including chi-square, Mann-Whitney U, Spearman correlation, ROC curves, and multivariate logistic regression.
Main Results:
- Neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and neutrophil-to-monocyte ratio (NMLR) were significantly elevated in the mortality group.
- NLR, SII, SIRI, and NMLR showed predictive value for 30-day mortality (AUCs ranging from 0.673 to 0.777).
- Multivariate logistic regression identified NLR and procalcitonin (PCT) as independent risk indicators.
Conclusions:
- Elevated NLR, SII, SIRI, and NMLR are associated with increased 30-day mortality in elderly patients with bacterial pneumonia.
- These hematological indices can serve as potential biomarkers for risk stratification.
- Further multicenter studies are warranted to validate these findings.
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