Comparing COVID-19 severity in patients hospitalized for community-associated Delta, BA.1 and BA.4/5 variant infection.

Background: Despite decreasing COVID-19 disease severity during the Omicron waves, a proportion of patients still require hospitalization and intensive care. Objective: To compare demographic characteristics, comorbidities, vaccination status, and previous infections in patients hospitalized for community-associated COVID-19 (CAC) in predominantly Delta, Omicron BA.1 and BA.4/5 SARS-CoV-2 waves. Methods: Data were extracted from three national databases-the National COVID-19 Database, National Vaccination Registry and National Registry of Hospitalizations. Results: Among the hospitalized CAC patients analyzed in this study, 5,512 were infected with Delta, 1,120 with Omicron BA.1, and 1,143 with the Omicron BA.4/5 variant. The age and sex structure changed from Delta to BA.4/5, with the proportion of women (9.5% increase), children and adolescents (10.4% increase), and octa- and nonagenarians increasing significantly (24.5% increase). Significantly more patients had comorbidities (measured by the Charlson Comorbidity Index), 30.3% in Delta and 43% in BA.4/5 period. The need for non-invasive ventilatory support (NiVS), ICU admission, mechanical ventilation (MV), and in-hospital mortality (IHM) decreased from Delta to Omicron BA.4/5 period for 12.6, 13.5, 11.5, and 6.3%, respectively. Multivariate analysis revealed significantly lower odds for ICU admission (OR 0.68, CI 0.54-0.84, p < 0.001) and IHM (OR 0.74, CI 0.58-0.93, p = 0.011) during the Delta period in patients who had been fully vaccinated or boosted with a COVID-19 vaccine within the previous 6 months. In the BA.1 variant period, patients who had less than 6 months elapsed between the last vaccine dose and SARS-CoV-2 positivity had lower odds for MV (OR 0.38, CI 0.18-0.72, p = 0.005) and IHM (OR 0.56, CI 0.37- 0.83, p = 0.005), but not for NIVS or ICU admission. Conclusion: The likelihood of developing severe CAC in hospitalized patients was higher in those with the Delta and Omicron BA.1 variant compared to BA.4/5.

Milder outcomes of SARS-CoV-2 genetically confirmed reinfections compared to primary infections with the delta variant: A retrospective case-control study.

Background: SARS-CoV-2 infection does not confer long immunity. However, studies suggest that prior infection is associated with lower risk of reinfection and milder outcomes of recurrent infections. The aims of this retrospective observational case-control study were to describe the clinical and molecular characteristics of genetically confirmed Delta reinfection cases and to assess the potential protective role of preceding infection on the severity of reinfection. Methods: We used next generation sequencing (NGS) to explore if cases with two positive real time RT-PCR tests > 90 days apart were infected with a different SARS-CoV-2 variant. Cases with confirmed reinfection between August 1st and October 31st, 2021 (the Delta wave) in Slovenia were matched 1:4 by age, sex and timeframe (week of positive test) with individuals with primary infection. Sociodemographic and epidemiologic data, vaccination status, and data on hospitalization and outcome of infection were retrieved from several centralized and standardized national databases. Additional epidemiologic surveys were performed on a limited number of cases and controls. Results: We identified 628 cases of genetically confirmed reinfection during the study period and matched them with 2,512 control subjects with Delta primary infection. Primary infections in individuals with reinfection were mainly caused by B.1.258.17 (51.1%), followed by B.1.1.7 (15.1%) and reinfection was detected on average 271 days after primary infection (range 101-477 days). Our results show a substantially lower probability of hospitalization in cases with reinfection compared with controls (OR: 0.21, p = 0.017), but no significant difference was observed in intensive care unit admission and deaths. We observed a significantly lower proportion of vaccinated individuals among cases compared to controls (4.5% vs. 28.2%), suggesting that hybrid immunity leads to lower probability of reinfection. Detailed analysis of the temporal distribution of variants, responsible for reinfections, showed no significant differences in reinfection potential. Conclusion: Reinfection with the SARS-CoV-2 Delta variant resulted in fewer hospitalizations compared to the primary Delta infection, suggesting that primary infection may, to some extent, produce at least short lasting protective immunity. This study provides additional insight into the reinfection dynamics that may allow appropriate public health measures to be taken in subsequent waves of the COVID-19 pandemic.

Beliefs and practices regarding electronic cigarettes in smoking cessation among healthcare professionals in Slovenia.

INTRODUCTION: Electronic cigarettes (ECs) have generated extensive discussion about their role in smoking cessation. The Slovenia National Institute of Public Health's recommendations state that ECs are not to be recommended for smoking cessation or reduction. The aim of this study was to explore how healthcare professionals working in the field of preventive healthcare and smoking cessation in Slovenia communicate with and counsel patients regarding electronic cigarettes and smoking cessation or reduction. METHODS: A cross-sectional, web-based survey was conducted among healthcare professionals working in the field of preventive healthcare and smoking cessation in Slovenia. A total of 479 healthcare professionals were included in the analysis. RESULTS: While a minority of participants (12.7%) do or would recommend electronic cigarettes for smoking cessation or reduction in general, a higher proportion of participants (33.1%) would recommend electronic cigarettes to specific groups of patients. Knowledge on electronic cigarettes was the key determinant of differences in recommendations. Only a minority of participants (9.1%) reported availability of workplace guidelines/recommendations regarding counselling about electronic cigarettes. CONCLUSIONS: Training programmes, educational materials and existing guidelines/recommendations regarding counselling about electronic cigarette use should be provided and distributed among healthcare professionals, together with efforts to ensure compliance to official guidelines/recommendations.

Building interpretable models for polypharmacy prediction in older chronic patients based on drug prescription records.

BACKGROUND: Multimorbidity presents an increasingly common problem in older population, and is tightly related to polypharmacy, i.e., concurrent use of multiple medications by one individual. Detecting polypharmacy from drug prescription records is not only related to multimorbidity, but can also point at incorrect use of medicines. In this work, we build models for predicting polypharmacy from drug prescription records for newly diagnosed chronic patients. We evaluate the models' performance with a strong focus on interpretability of the results. METHODS: A centrally collected nationwide dataset of prescription records was used to perform electronic phenotyping of patients for the following two chronic conditions: type 2 diabetes mellitus (T2D) and cardiovascular disease (CVD). In addition, a hospital discharge dataset was linked to the prescription records. A regularized regression model was built for 11 different experimental scenarios on two datasets, and complexity of the model was controlled with a maximum number of dimensions (MND) parameter. Performance and interpretability of the model were evaluated with AUC, AUPRC, calibration plots, and interpretation by a medical doctor. RESULTS: For the CVD model, AUC and AUPRC values of 0.900 (95% [0.898-0.901]) and 0.640 (0.635-0.645) were reached, respectively, while for the T2D model the values were 0.808 (0.803-0.812) and 0.732 (0.725-0.739). Reducing complexity of the model by 65% and 48% for CVD and T2D, resulted in 3% and 4% lower AUC, and 4% and 5% lower AUPRC values, respectively. Calibration plots for our models showed that we can achieve moderate calibration with reducing the models' complexity without significant loss of predictive performance. DISCUSSION: In this study, we found that it is possible to use drug prescription data to build a model for polypharmacy prediction in older population. In addition, the study showed that it is possible to find a balance between good performance and interpretability of the model, and achieve acceptable calibration at the same time.

The use of different tobacco and related products, with and without flavours, among 15-year-olds in Slovenia.

BACKGROUND: Different tobacco and related products, like waterpipe, e-cigarettes, are gaining popularity among adolescents in different countries; the data for Slovenia is currently limited. The purpose of this paper is to present the latest data on the use of different tobacco and related products, with or without flavours, among 15-year old students in Slovenia. METHODS: Data for 15-year-old students were drawn from 2014 Slovene database of the cross-national survey Health Behaviour in School-Aged Children. The survey sample was selected with stratified two-stage sampling method. The survey was performed in schools with a self-administered web questionnaire. The survey questionnaire included international compulsory, selected optional and national questions, all on a variety of topics related to youth health behaviour. RESULTS: 25.2% of 15-year-old students reported current (past 30-day) use of any tobacco related product, mainly cigarettes (93.1% of users), followed by waterpipe (11.7%) and cigars, cigarillos and pipes (9.4%). Exclusive use of unconventional products is low (5.1% of users). 85.5% of users of any product used one product, 48.5% of users used products with flavours. The use of different products, one or more products, and flavoured products was related to gender. CONCLUSION: A comprehensive tobacco control and prevention must address all tobacco and related products.