Read more

June 25, 2021
1 min read
Save

Patients hospitalized during COVID-19 have higher rates of alcohol dependency

You've successfully added to your alerts. You will receive an email when new content is published.

Click Here to Manage Email Alerts

We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com.

A higher proportion of patients hospitalized during the COVID-19 pandemic were alcohol-dependent, according to results presented at the International Liver Congress.

“The COVID-19 pandemic has presented significant challenges to health care services. Hospitals have reported a twofold increase in admissions due to alcohol-related liver disease; patients are sicker and higher numbers are requiring high dependency care,” Mohsan Subhani, Nottingham University Hospitals NHS Trust, wrote. “More representative data on the impact of COVID-19 on alcohol use disorder (AUD) among hospitalized patients is lacking.”

Alcohol
Source: Adobe Stock

To describe the epidemiology of AUD among hospitalized patients, researchers retrospectively compared a pre-COVID-19 cohort of patients (n = 27,356) with a COVID-19 cohort of patients (n = 20,598). They further aimed to identify demographic characteristics that can be used to risk stratify patients for targeted alcohol support services.

According to AUDIT-C alcohol assessment, 18% of patients (95% CI, 16.7-18.4) screened positive for AUD with a higher proportion of alcohol dependent patients in the COVID-19 cohort. Researchers further noted, within the COVID-19 cohort, alcohol-dependent patients had a 16-fold increased risk for mental or behavioral disorders (OR = 15.8); AUD and concomitant COVID-19 correlated with longer hospital stays and younger age at mortality.

“People admitted during the pandemic and screened positive for AUD were more likely to be alcohol dependent, from a high socioeconomic background, in a stable relationship and to have a mental health disorder,” Subhani said. “We hope from this study to implement that idea of social segmentation, to identify these high-risk groups and implement early identification followed by intervention.”