Adri Zamany Anwary, Djatnika Setiabudi, Riyadi
Background : In patients with infectious disease, various parameters or scoring systems have been studied to establish a diagnosis, estimate prognosis, and monitor improvement of the patients. Some studies show biomarkers can be used as a predictor of bacterial infections, such as C-reactive protein, neutrophil counts, lymphocyte count types and Procalcitonin.Neutrophil lymphocyte count ratio are inexpensive dan fast biomarker that can be used in health facility with limited resources Objective : This study aimed to describe neutrophil lymphosite count ratio in patients with infectious disease hospitalised in Infectious dan Tropical Disease Pediatric Division Hasan Sadikin General Hospital Methods : Data used in this study taken from All pediatric patients hospitalized by the Infectious and tropical diseases Child Health in RSUP dr. Hasan Sadikin in 2018. Data collected from medical record and inpatient registry of Infectious And Tropical Disease division.The patient sorted based on the diagnosis and neutrophil lymphocyte ratio counted from lab result during the admission. Result : From 117 patient, there are 80 patient diagnosed with dengue infection, neutrophil lymphosite count ratio mean are 0.79 with the highest ratio is 2.91.Patient with typhoid infection amount to 13 patients with neutrophil lymphosite count ratio mean are 3.65 and the highest ratio is 9.67. The rest are 14 patient diagnosed with bacterial meningitis with neutrophil lymphosite count ratio mean are 4.03 with the highest ratio are 13.14. Conclusion : Neutrophil to lymphocyte count ratio (NLCR) or neutrophil-lymphocyte ratio value is a calculation of the ratio of absolute neutrophil counts to absolute lymphocyte counts that can be used as a predictor or inflammatory marker. Patient with bacterial infection or with suspicion of severe infection has higher ratio. Knowing the description of neutrophil lymphocyte ratio in infectious patients who are hospitalized at RSHS so that this data can be used as a consideration in selecting future investigations