Smoking status related to Covid-19 mortality and disease severity in a veteran population.

INTRODUCTION: Cigarette smoking is associated with development of significant comorbidities. Patients with underlying comorbidities have been found to have worse outcomes associated with Coronavirus Disease 2019 (Covid-19). This study evaluated 30-day mortality in Covid-19 positive patients based on smoking status. METHODS: This retrospective study of veterans nationwide examined Covid-19 positive inpatients between March 2020 and January 2021. Bivariate analysis compared patients based on smoking history. Propensity score matching adjusted for age, gender, race, ethnicity, Charlson comorbidity index (0-5 and 6-19) and dexamethasone use was performed. A multivariable logistic regression with backwards elimination and Cox Proportional Hazards Ratio was utilized to determine odds of 30-day mortality. RESULTS: The study cohort consisted of 25,958 unique Covid-19 positive inpatients. There was a total of 2,995 current smokers, 12,169 former smokers, and 8,392 non-smokers. Death was experienced by 13.5% (n = 3503) of the cohort within 30 days. Former smokers (OR 1.15; 95% CI, 1.05-1.27) (HR 1.13; 95% CI, 1.03-1.23) had higher risk of 30-day mortality compared with non-smokers. Former smokers had a higher risk of death compared to current smokers (HR 1.16 95% CI 1.02-1.33). The odds of death for current vs. non-smokers did not significantly differ. CONCLUSION: Compared to veteran non-smokers with Covid-19, former, but not current smokers with Covid-19 had a significantly higher risk of 30-day mortality.

Open-source maximum a posteriori-bayesian dosing AdDS to current therapeutic drug monitoring: Adapting to the era of individualized therapy.

Recent updates in the therapeutic drug monitoring (TDM) guidelines for vancomycin have rekindled interest in maximum a posteriori-Bayesian (MAP-Bayesian) estimation of patient-specific pharmacokinetic parameters. To create a versatile infrastructure for MAP-Bayesian dosing of vancomycin or other drugs, a freely available, R-based software package, Advanced Dosing Solutions (AdDS), was created to facilitate clinical implementation of these improved TDM methods. The objective of this study was to utilize AdDS for pre- and post-processing of data in order to streamline the therapeutic management of vancomycin in healthy and obese veterans. Patients from a local Veteran Affairs hospital were utilized to compare the process of full re-estimation versus Bayesian updating of priors on healthy adult and obese patient populations for use with AdDS. Twenty-four healthy veterans were utilized to train (14/24) and test (10/24) the base pharmacokinetic model of vancomycin while comparing the effects of updated and fully re-estimated priors. This process was repeated with a total of 18 obese veterans for both training (11/18) and testing (7/18). Comparison of MAP objective function between the original and re-estimated models for healthy adults indicated that 78.6% of the subjects in the training and 70.0% of the subjects in the testing datasets had similar or improved predictions by the re-estimated model. For obese veterans, 81.8% of subjects in the training dataset and 85.7% of subjects in the testing dataset had similar or improved predictions. Re-estimation of model parameters provided more significant improvements in objective function compared with Bayesian updating, which may be a useful strategy in cases where sufficient samples and subjects are available. The generation of bespoke regimens based on patient-specific clearance and minimal sampling may improve patient care by addressing fundamental pharmacokinetic differences in healthy and obese veteran populations.

Societal factors contributing to infections caused by Chlamydia trachomatis and Neisseria gonorrhoeae in a veteran population.

BACKGROUND: Veterans have a higher incidence of sexually transmitted infections (STIs) compared to the general population. The objective of this study is to evaluate the association of societal factors on the risk of chlamydia or gonorrhea. METHODS: This retrospective cohort study evaluated data from Veteran Health Administration. Patients tested for chlamydia or gonorrhea between January 2009 and January 2019 were included. Descriptive statistics and regression were used to evaluate societal factors. RESULTS: A total of 1,232,173 tests for chlamydia or gonorrhea were performed. There were 51,987 (4.2%) positive cases with 74.18% for chlamydia and 24.96% for gonorrhea. In 13.6% of veterans with reported military sexual trauma, there was no difference in risk of positivity (p = 0.39). Veterans with a history of combat had lower odds of testing positive (OR, 0.94; 95% CI, 0.91-0.97). Tests in veterans who were married had a 24% less chance of positivity (OR, 0.76; 95% CI, 0.74-0.79) compared to tests in divorced veterans. Positive number of cases increased each year. CONCLUSION: Sexually transmitted infections are a growing concern. Gender, age, ethnicity, marital status, and race are societal identifiers which influence likelihood of STI acquisition.