Objectives: To confirm whether a relationship exists between male sex and coronavirus disease 2019 (COVID-19) mortality and whether this relationship is age dependent. Patients and Methods: We queried the COVID-19 Research Network, a multinational database using the TriNetX network, to identify patients with confirmed COVID-19 infection. The main end point of the study was all-cause mortality. Results: A total of 14,712 patients were included, of whom 6387 (43%) were men. Men were older (mean age, 55.0AE17.7 years vs 51.1AE17.9 years; P<.001) and had a higher prevalence of hypertension, diabetes, coronary disease, obstructive pulmonary disease, nicotine dependence, and heart failure but a lower prevalence of obesity. Before propensity score matching (PSM), all-cause mortality rate was 8.8% in men and 4.3% in women (odds ratio, 2.15; 95% CI, 1.87 to 2.46; P<.001) at a median follow-up duration of 34 and 32 days, respectively. In the Kaplan-Meier survival analysis, the cumulative probability of survival was significantly lower in men than in women (73% vs 86%; log-rank, P<.001). After PSM, all-cause mortality remained significantly higher in men than in women (8.13% vs 4.60%; odds ratio, 1.81; 95% CI, 1.55 to 2.11; P<.001). In the Kaplan-Meier survival analysis, the cumulative probability of survival remained significantly lower in men than in women (74% vs 86%; log-rank, P<.001). The cumulative probability of survival remained significantly lower in propensity scoreematched men than in women after excluding patients younger than 50 years and those who were taking angiotensin-converting enzyme inhibitor or angiotensin receptor blocker medications on admission. Conclusion: Among patients with COVID-19 infection, men had a significantly higher mortality than did women, and this difference was not completely explained by the higher prevalence of comorbidities in men.

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Background The opioid crisis has disproportionally affected Appalachia. One of the potentially lethal and costly complications associated with IV drug use is infective endocarditis (IE). The goal of this study was to assess the trend and costs of substance abuse associated IE admissions in Southern West Virginia. Methods This is a retrospective analysis of cost, incidence, and geographic patterns of all patients admitted over the last decade with concomitant drug abuse (cocaine, amphetamine, sedative, and other/mixed drug abuse) and IE in the largest tertiary care center for Southern West Virginia. A time series model was used to investigate the effect of drug use on the incidence of IE. Results A total of 462 patients were hospitalized with IE and concomitant illicit drug use. IE cases increased from 26 admissions in 2008 to 66 in 2015. Patterns of increases in mixed drug use (DRG most often associated with IV drug use in our center) mirrored increases in IE ( P = 0.001). From 2008 to 2015, the total hospital charges were $17 306 464 on 462 cases of illicit drug associated IE. Only a fraction of the billed fees (22%) was collected ($3 829 701). Conclusions The number of patients hospitalized with IE has dramatically increased over the last decade in a pattern that mirrors the increase in mixed drug use. The majority of payers were from underfunded state programs or private pay and thus, only 22% of the hospital charges were paid, leaving a hospital deficit of over $13 476 763 during the study period.