Abstract

Malaria is a prime public health threat in developing countries like India. There is an unmet need of a simplified methodology for the purpose of triage and provision of intensive care to the severely infected patients in these areas. We did a prospective study in patients (n=60) admitted with severe malaria in a single tertiary care center in the state of Haryana, India. We assessed the role of coma acidosis malaria (CAM) score in these patients when predicting mortality and morbidity events. Stepwise logistic regression analysis was applied to identify patients requiring intensive care based on the CAM score, and the prediction value of the scoring system was assessed among these patients. Cerebral malaria (measured using the Glasgow coma scale) and acidosis (base deficit) were the major determinants of the CAM score. Serum bicarbonate levels and respiratory rates were assessed as the proxy markers of the base deficit as it is not always available. Morbidity increased steadily as the CAM scores increased. Sensitivity and negative predictive value of 100% depicted that the scoring system was able to identify patients who needed intensive care and accurately exclude the patients who could be conservatively managed in the ward. Positive predictive values of 73.9%, 68%, and 80.9% indicated that CAM, bicarbonate-based CAM (BCAM), and respiratory rate-based CAM (RCAM) scores, respectively, could precisely predict the morbidity and mortality events among patients with CAM scores ≥2. CAM scores have precise predictive values in assessing patients with severe malaria. The scoring system helps in accurate and systemic triage of patients, irrespective of species, and directs the treating physicians toward vigilant treatment and emergency care.

Highlights

  • India is primarily characterized by unstable malaria transmission characteristics; it is seasonal with increased intensity related to the monsoons

  • Sensitivity and negative predictive value of 100% depicted that the scoring system was able to identify patients who needed intensive care and accurately exclude the patients who could be conservatively managed in the ward

  • Positive predictive values of 73.9%, 68%, and 80.9% indicated that coma acidosis malaria (CAM), bicarbonatebased CAM (BCAM), and respiratory rate-based CAM (RCAM) scores, respectively, could precisely predict the morbidity and mortality events among patients with CAM scores ≥2

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Summary

Introduction

India is primarily characterized by unstable malaria transmission characteristics; it is seasonal with increased intensity related to the monsoons. Aggarwal et al Role of CAM Score in Severe Malaria 31 falciparum is responsible for a majority of malaria-related morbidity and mortality [1]. The World Health Organization (WHO) established the criteria to diagnose severe malaria in 1990. The criteria were revised in 2010 to include clinical manifestations and laboratory values that portend a poor prognosis based on various clinical studies [2]. Pulmonary edema, acute renal failure, severe anemia, and bleeding are some of the major complications of severe malaria. Age greater than 65 years, pregnancy, non-immune status, coexisting medical conditions, no antimalarial prophylaxis, delay in treatment, and severity of the illness at admission (e.g., coma, acute renal failure, shock, pulmonary edema, and coagulation disorders) are the risk factors indicated in various clinical studies [3]

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