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Context:Procalcitonin is a biomarker of bacterial sepsis. It is unclear if scrub typhus, a rickettsial illness, is associated with elevated procalcitonin levels.Aim:To assess if scrub typhus infection is associated with high procalcitonin levels and whether high levels portend a poorer prognosis.Setting and Design:Retrospective study of patients with severe scrub typhus infection, admitted to the medical intensive care unit of a tertiary care university affiliated teaching hospital.Materials and Methods:Eighty-four patients with severe scrub typhus infection that also had procalcitonin levels were assessed.Statistical Analysis:Relationship between procalcitonin and mortality explored using univariate and multivariate analyses.Results:The mean (±standard deviation) age was 40.0 ± 15.5 years. Patients were symptomatic for 8.3 ± 4.3 days prior to presentation. The median admission procalcitonin level was 4.0 (interquartile range 1.8 to 8.5) ng/ml; 59 (70.2%) patients had levels >2 ng/ml. Invasive mechanical ventilation was required in 65 patients; 20 patients died. On univariate analysis, admission procalcitonin was associated with increased odds of death [odds ratio (OR) 1.09, 95% confidence interval (CI) 1.03 to 1.18]. On multivariate logistic regression analysis including procalcitonin and APACHE-II score, the APACHE-II score was significantly associated with mortality (OR 1.16, 95% CI 1.06 to 1.30, P = 0.004) while a trend was observed with procalcitonin (OR 1.05, 95%CI 1.01 to 1.13, P = 0.09). The area under the receiver operating characteristic (ROC) curve, AUC, for mortality was 0.77 for procalcitonin and 0.78 for APACHE-II.Conclusions:Procalcitonin is elevated in severe scrub typhus infection and may be associated with higher mortality.

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Background: Deliberate self-poisoning and harm (DSPH) is an unabating problem with a wide variation in the methods used across the world. Hence, this study was conducted to understand the current spectrum of methods used for DSPH by patients in our geographic locality and catchment area with special emphasis on newer compounds and drugs used. Methods: This retrospective study included patients presenting with DSPH to the emergency department (ED) between January 2017 and December 2018. Results: This study included 1802 patients, with a mean age of 32 ± 12.7 years. Of the patients, 85% were in the young to middle age group (16–45 years). Agrochemicals (n = 604, 33.5%), drugs (n = 498, 27.6%), plant toxins (n = 150, 8.3%) and rodenticides (n = 145, 8%) were the predominantly used compounds. The major emergency resuscitation procedures required in the ED were intubation (n = 321, 18%), vasopressor support (n = 73, 4%) and cardiopulmonary resuscitation (n = 27, 1.4%). A quarter (23.2%) was discharged stable from the ED, whereas a further 56.5% were discharged stable after hospital admission. The in-hospital mortality rate was 3% (n = 47). Multivariate logistic regression analysis showed rodenticides (odds ratio (OR): 22.32; 95% confidence interval (CI): 8.05–61.88; P = 0.005) and plant poisons (OR: 23.92; 95% CI: 8.95–63.94; P = 0.005) to be the independent predictors of mortality. Conclusion: DSPH is prevalent in the highly productive young age group. Agrochemical ingestion and drug overdose are the most common methods used, whereas rodenticide and plant poisoning are associated with significant mortality.

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Background In locations where few people have received COVID-19 vaccines, health systems remain vulnerable to surges in SARS-CoV-2 infections. Tools to identify patients suitable for community-based management are urgently needed. Methods We prospectively recruited adults presenting to two hospitals in India with moderate symptoms of laboratory-confirmed COVID-19 in order to develop and validate a clinical prediction model to rule-out progression to supplemental oxygen requirement. The primary outcome was defined as any of the following: SpO2 < 94%; respiratory rate > 30 bpm; SpO2/FiO2 < 400; or death. We specified a priori that each model would contain three clinical parameters (age, sex and SpO2) and one of seven shortlisted biochemical biomarkers measurable using commercially-available rapid tests (CRP, D-dimer, IL-6, NLR, PCT, sTREM-1 or suPAR), to ensure the models would be suitable for resource-limited settings. We evaluated discrimination, calibration and clinical utility of the models in a held-out temporal external validation cohort. Results 426 participants were recruited, of whom 89 (21.0%) met the primary outcome. 257 participants comprised the development cohort and 166 comprised the validation cohort. The three models containing NLR, suPAR or IL-6 demonstrated promising discrimination (c-statistics: 0.72 to 0.74) and calibration (calibration slopes: 1.01 to 1.05) in the validation cohort, and provided greater utility than a model containing the clinical parameters alone. Conclusions We present three clinical prediction models that could help clinicians identify patients with moderate COVID-19 suitable for community-based management. The models are readily implementable and of particular relevance for locations with limited resources.