The association of the COVID-19 pandemic with AUD and AW has been much debated. 5 This cohort study found an overall increase in AW rates in 2020, with a peak at the end of the stay-at-home order. Moreover, increased AW rates continued during the reopening phases. It is not clear why IRRs were higher in 2020 before the stay-at-home orders. Although the use of the revised Clinical Institute Withdrawal Assessment for Alcohol to identify AW limits the false-positive rate, it may underestimate the true AW rate and may be a limitation of the study. These findings suggest negative associations of the pandemic with AW. Stress, anxiety, disrupted treatment plans, and increased alcohol use might be factors associated with higher rates of AW, because higher rates persisted during the reopening phases. With the recent surge in COVID-19 cases, many states might revert to stay-at-home orders and this trend may worsen. Increased vigilance to identify AW among hospitalized patients and to use systematic screening will be pivotal in the management of AW.

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Background: Patients with cardiovascular disease (CVD) are especially vulnerable to respiratory infections caused by the coronavirus. The underlying effect of cardiovascular comorbidities on patients with COVID-19, however, remains to be sufficiently understood. Methods: Hospitalized COVID-19 patients from a state-wide large health care system with completed historical clinical conditions during March - June of 2020 were included in this study. The impact of CVD on the mortality, resources utility including the uses of intensive care unit (ICU) and ventilator, length of stay (LOS) and financial burden of COVID-19 inpatients were examined. Logistic analysis was applied to analyze the relationship between CVD and mortality, and non-parametric methods were used to evaluate the impact of CVD on resources utility. Random forest method was used to rank the importance of risk factors. Results: Among 811 hospitalized COVID-19 patients, 228 (28.11%) were placed in ICU, 105 (12.95%) spent on ventilators, and there were 94 deaths (11.59%). The mean LOS was 11.93 ± 11.26 (SD, standard deviation), mean time a patient in an ICU was 2.41 ± 5.49 days, and mean ventilator time was 1.29 ± 4.62 days. The mean charge of a patient was $55242 ± 71742) with inter-quarter range of $44124. Age, gender, and race were the top 3 factors of mortality and utilities. Patients who present with heart failure vs. those who do not, have increased mortality (21.47% vs 8.97%; odds ratio [OR], 2.00 (95% CI: 1.25-3.21; P=0.004), longer LOS (12.97 ±10.09 vs. 11.61±11.46), p=0.18), higher ICU usage ( 3.32 ± 6.04 vs. 2.14 ±5.26, p=0.02) and ICU requiring ventilator (1.86 ± 4.90 vs. 1.15 ± 4.56, p=0.09), and significant higher charge ($ 66175 ± 68773 vs $ 50736 ±64142, mean difference $15439± 65193 with 95% CI: $4537-26340, p=0.01). Similar results were shown for patients with coronary artery disease or arrhythmia. Patients with hypertension vs those who do not, have increased mortality (14.81% vs. 4.92%; OR=3.22 (95% CI: 1.76-5.90, p=0.01), but the impact was not significant after adjusted by age, race and gender. Conclusions: Among COVID-19 hospitalized patients with established cardiovascular disease, there was a worse survival and adverse utility outcomes in hospital resources and financial charges.