Predicting Mortality for Adolescent and Adult Patients with Fever in Resource-Limited Settings

Manuela Carugati1,2,3, Helen L Zhang4, Kajiru G Kilonzo1

  • 1Kilimanjaro Christian Medical Centre, Moshi, Tanzania.

Insights

In Tanzania, the Integrated Management of Adolescent and Adult Illness (IMAI) emergency signs effectively identified febrile patients at risk of death. Other scores like qSOFA performed poorly in predicting mortality in this sub-Saharan African population.

Area of Science:

  • Infectious Diseases
  • Critical Care Medicine
  • Public Health

Background:

  • Febrile illnesses pose a significant mortality risk in sub-Saharan Africa.
  • Early identification of high-risk patients is crucial for improving outcomes.
  • Existing early warning scores require validation in diverse clinical settings.

Purpose of the Study:

  • To evaluate the predictive performance of Modified Early Warning Score (MEWS), quick Sequential Organ Failure Assessment (qSOFA), and Integrated Management of Adolescent and Adult Illness (IMAI) criteria for in-hospital mortality in febrile patients in Tanzania.
  • To identify reliable tools for risk stratification in febrile illnesses within sub-Saharan Africa.

Main Methods:

  • Prospective cohort study of 419 febrile patients (≥ 10 years) in Tanzania (2007-2008).
  • Evaluation of MEWS, qSOFA score (≥ 2), and IMAI emergency signs/severity criteria for predicting in-hospital mortality.
  • Univariate analysis of clinical factors associated with mortality, including HIV infection and vital signs.

Main Results:

  • Of 44 deaths, 70.5% were HIV-infected.
  • Factors associated with mortality included HIV infection, low oxygen saturation, respiratory distress, altered consciousness, and low hemoglobin.
  • The IMAI criterion 'presence of at least one emergency sign' demonstrated good diagnostic accuracy (high sensitivity, low negative likelihood ratio, wide AUC).
  • qSOFA and MEWS showed poor performance in predicting fatal outcomes.

Conclusions:

  • The IMAI emergency signs are a promising tool for identifying high-risk febrile patients in this Tanzanian cohort.
  • MEWS and qSOFA scores were not effective predictors of in-hospital mortality in this population.
  • Further research is needed to develop and validate accurate early warning scores for febrile illnesses in sub-Saharan Africa.

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