Evidence Hub

Hematological parameters as predictors of severity in community-acquired pneumonia: a case-control study

Jignasa J. Mansuriya, Jaimin A. Mansuriya, Alok Pritam

Journal of Population Therapeutics and clinical Pharmacology, 2024

Abstract

Community-Acquired Pneumonia (CAP) continues to represent a substantial public health burden in India, characterized by high rates of severity and associated mortality. Effective, rapid, and cost-efficient risk stratification tools are essential for timely intervention in resource-constrained tertiary care settings. While standard clinical scoring systems, such as the CURB-65, are widely used, their reliance on clinical judgment and potentially delayed laboratory results can hinder early triage. Hematological ratios, particularly the Neutrophil-to-Lymphocyte Ratio (NLR) and the Platelet-to-Lymphocyte Ratio (PLR), offer readily available markers reflecting the interplay between systemic inflammation and the host immune response.

Objectives: The primary objective of this study was to evaluate the predictive utility of admission NLR and PLR in identifying Severe Community-Acquired Pneumonia (SCAP), defined by the 2007 Infectious Diseases Society of America/American Thoracic Society (IDSA/ATS) criteria, among adult patients presenting to a North Indian tertiary care center.

Methods: A retrospective, single-center case-control study was conducted at the Shri Guru Ram Rai Institute of Medical & Health Sciences, Dehradun, India, utilizing medical records from 01 May 2023 to 30 October 2023. Sixty patients classified as SCAP (Cases: meeting ≥ 1 major or ≥ 3 minor IDSA/ATS criteria) were compared against 120 non-severe CAP patients (Controls). NLR and PLR were calculated from the…

How strong is the evidence?

Evidence Hub reads this as a case-control. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free