Impact of increased alcohol consumption during the COVID-19-related lockdowns on admissions with liver disease, gastrointestinal bleeding and pancreatitis in Melbourne, Victoria.

This audit collates data on alcohol-related gastrointestinal (GI) admissions at Monash Health, Victoria, during the prolonged, coronavirus disease 2019 (COVID-19)-related lockdown July to October 2020 compared with the same periods in 2019 and 2021. We found a 58% increase in admissions in 2020 and a 16% increase in 2021, which also increased disproportionately to overall health service emergency presentations. Self-reported alcohol consumption increased by 2.5-fold and was greatest in 2020. Clinical severity was unchanged and cirrhosis was the only factor associated with severe disease. This study suggests an association between the pandemic-related lockdown, alcohol consumption and alcohol-related GI hospitalisation. Our study provides support for resourcing and adapting alcohol and other drug services during and beyond the COVID-19 lockdown.

Optimising Cardiometabolic Risk Factors in Pregnancy: A Review of Risk Prediction Models Targeting Gestational Diabetes and Hypertensive Disorders.

Cardiovascular disease, especially coronary heart disease and cerebrovascular disease, is a leading cause of mortality and morbidity in women globally. The development of cardiometabolic conditions in pregnancy, such as gestational diabetes mellitus and hypertensive disorders of pregnancy, portend an increased risk of future cardiovascular disease in women. Pregnancy therefore represents a unique opportunity to detect and manage risk factors, prior to the development of cardiovascular sequelae. Risk prediction models for gestational diabetes mellitus and hypertensive disorders of pregnancy can help identify at-risk women in early pregnancy, allowing timely intervention to mitigate both short- and long-term adverse outcomes. In this narrative review, we outline the shared pathophysiological pathways for gestational diabetes mellitus and hypertensive disorders of pregnancy, summarise contemporary risk prediction models and candidate predictors for these conditions, and discuss the utility of these models in clinical application.