Background Neonatal sepsis is the most common cause of neonatal mortality and morbidity. As neonatal sepsis presents with subtle symptoms and signs, decision to start empirical antibiotics is most often based on risk profile. Hematological parameters and C-reactive protein (CRP) are routinely done as a part of sepsis screening, but isolation of microorganism on blood culture is the gold standard for diagnosis of sepsis. Methodology One-hundred neonates with suspected sepsis were studied and their hematological parameters, hematological scoring system (HSS), and CRP were correlated to blood culture. Results Among the study population, immature to total neutrophil count (I:T) ratio had the best sensitivity (94.1%) and negative predictive value (83.3%), followed by HSS with a sensitivity of 64.7% and negative predictive value of 68.4%, whereas CRP was more specific (75.9%). Conclusion HSS and CRP are good predictors of diagnosis of neonatal sepsis. I:T ratio had the best sensitivity and negative predictive value.

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Background: Multiple myeloma (MM) is a malignant neoplasm of clonal plasma cells. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are prognostic factors and biomarkers of systemic inflammation. The aim of this study was to determine a correlation between NLR, PLR, and hematological parameters in patients with MM. Methods: The clinical data of 50 MM patients were collected from hospital medical records. NLR and PLR were calculated from data obtained from clinical records. Results: The median age was 60 years at diagnosis. The study cohort was divided into two groups based on cutoff points taken from previously published data (NLR: 2.56 and PLR: 157). Erythrocyte sedimentation rate, blood urea, uric acid, platelet count, and absolute neutrophil count were higher in patients with high NLR than in patients with low NLR. A significant association between NLR and blood urea was seen (P < 0.0018). Pearson's correlation analysis revealed a strong positive correlation for blood urea and NLR, uric acid and NLR, and blood urea and PLR. Conclusion: Thus, combined applications of NLR and PLR could be used as a cost-effective diagnostic predictor of MM patients.