RESUMEN
Background: Our understanding of the pathophysiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is still evolving and is limited for prognostication. The study was performed to predict severity and mortality based on hematology parameters in coronavirus disease (COVID-19). Material and Methods: The study was a single-center retrospective analysis of 240 patients with COVID-19. The hematological parameters were compared between different grades of severity. The receiver operating characteristics (ROC) curve along with the Classification and Regression Trees (CART) methods were used for the analysis. Result: The total leukocyte count, absolute neutrophil count, neutrophil-lymphocyte ratio (NLR), and neutrophil-monocyte ratio (NMR) were increasing along with an increase in severity; while the absolute lymphocyte count and lymphocyte-monocyte ratio (LMR) were decreasing (P < 0.001). For prediction of severity and mortality on admission, the NLR, NMR, and LMR were significant (P < 0.001). The NLR, NMR, and LMR had an area under the receiver operating characteristics curve (AUROC) of 0.86 (95% CI of 0.80-0.91), 0.822 (95% CI of 0.76-0.88), and 0.69 (95% CI of 0.60-0.79), respectively, for severity. While the NLR, NMR, and LMR had an AUROC value of 0.85 (95% CI of 0.79-0.92), 0.83 (95% CI of 0.77-0.89), and 0.67 (95% CI of 0.57-0.78), respectively, for mortality. Conclusion: With the increase in severity there was an increase in the total leukocyte count and absolute neutrophil count while the absolute lymphocyte count decreased. On admission, the cut-off value of NLR >5.2, NMR >12.1, while LMR <2.4 may predict severity and mortality in COVID-19.
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BACKGROUND: Nosocomial infection caused by Pseudomonas aeruginosa (P. aeruginosa) is very common, despite the application of various preventive measures in intensive care units (ICUs) leading to increased morbidity, mortality, prolonged hospital stay, and increased treatment cost. AIM: The aim of the present study is to identify the source of P. aeruginosa infection in patients admitted to tertiary ICU. MATERIALS AND METHODS: From 200 patients selected randomly, appropriate clinical specimens from different sites were collected and processed for the isolation and identification of the nosocomial pathogens. Surveillance samples from environmental sites and hands of nursing staff were also cultured. RESULTS: P. aeruginosa was found to be the most common pathogen associated with nosocomial infections accounting for 23.3% of all bacterial isolates from different infection sites in the ICU. Serotyping of the clinical isolates and surveillance sample isolates from nurses' hands showed serotype E as the most common serotype. Other serotypes of P. aeruginosa were isolated from environmental cultures such as sinks, floors, walls, tap water, etc. CONCLUSION: Study revealed a high prevalence of P. aeruginosa infections in the ICU attributed to cross transmission from patient to patient via hands of the nursing staff. Strict enforcement of infection control protocols is essential to minimize the disease burden.
