Clinical scoring system to differentiate melioidosis from other documented causes of community-acquired bacterial

Nitin Gupta1,2,3, Chiranjay Mukhopadhyay4, Tirlangi Praveen Kumar5

  • 1Department of Infectious Diseases, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, India. nitin.gupta@manipal.edu.

Infection
|July 23, 2025
PubMed
Abstract

Insights

A new clinical scoring tool helps identify melioidosis, a serious cause of community-acquired pneumonia (CAP), in India. This simple score aids early diagnosis and treatment in resource-limited settings.

Area of Science:

  • Infectious Diseases
  • Clinical Medicine
  • Public Health

Background:

  • Melioidosis, caused by Burkholderia pseudomallei, is an underdiagnosed cause of community-acquired pneumonia (CAP) in India.
  • Challenges in early diagnosis include overlapping symptoms with other bacterial pneumonias and limited access to culture facilities.
  • This study aimed to develop a clinical scoring system to differentiate melioidosis from other bacterial CAP etiologies in endemic areas.

Purpose of the Study:

  • To develop and validate a clinical scoring system for early identification of melioidosis in patients with CAP.
  • To improve diagnostic accuracy in resource-limited settings where specialized laboratory facilities are scarce.
  • To guide timely and appropriate therapeutic interventions for melioidosis.

Main Methods:

  • A retrospective cohort study involving 337 patients with culture-positive CAP (55 melioidosis, 282 controls) was conducted in South India (2017-2023).
  • Demographic, clinical, laboratory, and radiological data were analyzed.
  • Multivariable logistic regression identified independent predictors, and a scoring system was derived from adjusted odds ratios.

Main Results:

  • Four independent predictors for melioidosis were identified: monsoon season exposure, diabetes mellitus, shock at presentation, and extrapulmonary focal involvement.
  • The developed scoring system demonstrated excellent discrimination.
  • A score of ≥4 provided 87.3% sensitivity and 83.6% specificity; a score of ≥5 yielded 67.3% sensitivity and 95.4% specificity.

Conclusions:

  • A simple four-point clinical scoring tool is proposed for identifying melioidosis in CAP patients.
  • This score can facilitate early suspicion and appropriate treatment in endemic, resource-limited regions.
  • Prospective validation in other endemic areas is recommended.