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Abstract Background We applied machine learning (ML) algorithms to generate a risk prediction tool [Collaboration for Risk Evaluation in COVID-19 (CORE-COVID-19)] for predicting the composite of 30-day endotracheal intubation, intravenous administration of vasopressors, or death after COVID-19 hospitalization and compared it with the existing risk scores. Methods This is a retrospective study of adults hospitalized with COVID-19 from March 2020 to February 2021. Patients, each with 92 variables, and one composite outcome underwent feature selection process to identify the most predictive variables. Selected variables were modeled to build four ML algorithms (artificial neural network, support vector machine, gradient boosting machine, and Logistic regression) and an ensemble model to generate a CORE-COVID-19 model to predict the composite outcome and compared with existing risk prediction scores. The net benefit for clinical use of each model was assessed by decision curve analysis. Results Of 1796 patients, 278 (15%) patients reached primary outcome. Six most predictive features were identified. Four ML algorithms achieved comparable discrimination (P > 0.827) with c-statistics ranged 0.849–0.856, calibration slopes 0.911–1.173, and Hosmer–Lemeshow P > 0.141 in validation dataset. These 6-variable fitted CORE-COVID-19 model revealed a c-statistic of 0.880, which was significantly (P

Objective: Lifestyle preferences are inculcated in childhood and once established, persist into adulthood. The Project PROMoting Health LIteracy in School (i-PROMISe) aims to promote a healthy lifestyle among students for the universal prevention of non-communicable diseases (NCDs) like diabetes. Study design: Qualitative study using focus-group-discussions (FGDs) and In-Depth Interviews (IDI). Method: Project was undertaken in two-phases in two private schools in New Delhi, India. In phase-one, FGDs with students (grades IV to VIII) and IDIs with teachers were conducted to ascertain their perceptions of diabetes prevention and management according to the Health Belief Model. The data was analyzed using a thematic framework method. In phase-two, the resources were pre-tested and participants’ feedback was requested on the duration, quality, and understanding of the resources. Results: In total, 89 students and 17 teachers participated in phase-one (n = 54 [in FGDs] and n = 5 [in IDIs]) and phase-two (n = 35 students and n = 12 teachers in FGDs). In phase-one, themes that emerged included: diabetes was considered a disease of the elderly; misconceptions about susceptibility to these diseases were common; children were largely aware of measures to prevent these diseases, but barriers to adopting a healthy lifestyle existed. Based on the findings, a comprehensive module was developed, which consisted of a teacher's manual with interactive activities and short films. The resources (teacher's manual and short films) were well received and contributed to a better understanding of diabetes and other NCDs; myths/misconceptions were clarified. Conclusion: Development of resources using participatory approach can be effective in promoting and reinforcing healthy behaviours among school going children to prevent and control NCDs in schools.

Objective To characterise the potential association of hyperlipidaemia (HLP) versus no HLP with all-cause mortality among patients hospitalised for pneumonia.Design Propensity score matched retrospective study.Participants The study cohort consisted of consecutive 8553 adults hospitalised at a large academic centre with a discharge diagnosis of pneumonia from 1996 through 2015, followed until death or end of the study period, 17 August 2017.Outcomes The outcome was HR for mortality at 28 days and in the long term in patients with pneumonia with concurrent HLP compared with those with no HLP. We first constructed multivariable Cox proportional regression models to estimate the association between concurrent HLP versus no HLP and mortality after pneumonia hospitalisation for the entire cohort. We then identified 1879 patients with pneumonia with concurrent HLP and propensity score matched in a 1:1 ratio to 1879 patients with no HLP to minimise the imbalance from measured covariates for further analysis.Results Among 8553 unmatched patients with pneumonia, concurrent HLP versus no HLP was independently associated with lower mortality at 28 days (HR 0.52, 95% CI 0.41 to 0.66) and at a median follow-up of 3.9 years (HR 0.75, 95% CI 0.70 to 0.80). The risk difference in mortality was consistent between 1879 propensity score matched pairs both at 28 days (HR 0.65, 95% CI 0.49 to 0.86) and at a median follow-up of 4 years (HR 0.88, 95% CI 0.81 to 0.96). In the subgroup of patients with clinically measured low-density lipoprotein cholesterol (LDL-C), graded inverse associations between LDL-C levels and mortality were found in both unmatched and matched cohorts.Conclusions Among hospitalised patients with pneumonia, a diagnosis of HLP is protective against both short-term and long-term risk of death after adjustment for other major contributors to mortality in both unmatched and propensity score matched cohorts. These findings should be further investigated.