Ryan J. Scalsky

Bio: Ryan J. Scalsky is an academic researcher from University of Maryland, Baltimore. The author has contributed to research in topics: Body mass index & Respiratory infection. The author has an hindex of 3, co-authored 3 publications receiving 19 citations.

Baseline cardiometabolic profiles and SARS-CoV-2 infection in the UK Biobank.

Abstract: BACKGROUND: SARS-CoV-2 is a rapidly spreading coronavirus responsible for the Covid-19 pandemic, which is characterized by severe respiratory infection. Many factors have been identified as risk factors for SARS-CoV-2, with much early attention being paid to body mass index (BMI), which is a well-known cardiometabolic risk factor. OBJECTIVE: This study seeks to examine the impact of additional baseline cardiometabolic risk factors including high density lipoprotein-cholesterol (HDL-C), low density lipoprotein-cholesterol (LDL-C), Apolipoprotein A-I (ApoA-I), Apolipoprotein B (ApoB), triglycerides, hemoglobin A1c (HbA1c) and diabetes on the odds of testing positive for SARS-CoV-2 in UK Biobank (UKB) study participants. METHODS: We examined the effect of BMI, lipid profiles, diabetes and alcohol intake on the odds of testing positive for SARS-Cov-2 among 9,005 UKB participants tested for SARS-CoV-2 from March 16 through July 14, 2020. Odds ratios and 95% confidence intervals were computed using logistic regression adjusted for age, sex and ancestry. RESULTS: Higher BMI, Type II diabetes and HbA1c were associated with increased SARS-CoV-2 odds (p < 0.05) while HDL-C and ApoA-I were associated with decreased odds (p < 0.001). Though the effect of BMI, Type II diabetes and HbA1c were eliminated when HDL-C was controlled, the effect of HDL-C remained significant when BMI was controlled for. LDL-C, ApoB and triglyceride levels were not found to be significantly associated with increased odds. CONCLUSION: Elevated HDL-C and ApoA-I levels were associated with reduced odds of testing positive for SARS-CoV-2, while higher BMI, type II diabetes and HbA1c were associated with increased odds. The effects of BMI, type II diabetes and HbA1c levels were no longer significant after controlling for HDL-C, suggesting that these effects may be mediated in part through regulation of HDL-C levels. In summary, our study suggests that baseline HDL-C level may be useful for stratifying SARS-CoV-2 infection risk and corroborates the emerging picture that HDL-C may confer protection against sepsis in general and SARS-CoV-2 in particular.

A Cross-Sectional and Prospective Comparison of Medicinal Cannabis Users and Controls on Self-Reported Health.

Abstract: Introduction: Despite widespread legalization, the impact of medicinal cannabis use on patient-level health and quality of life (QOL) has not been carefully evaluated. The objective of this study was to characterize self-reported demographics, health characteristics, QOL, and health care utilization of Cannabis Users compared with Controls. Methods: A longitudinal, cross-sectional web-based survey study was completed between April 2016 and February 2018. Study participants (n=1276) were a convenience sample of either patients with a diagnosed health condition or caregivers of a patient with a diagnosed health condition registered with the Realm of Caring Foundation (a nonprofit organization dedicated to therapeutic cannabis research and education). Participants were invited through e-mail to complete follow-up assessments every 3 months with 33% of participants completing one or more prospective follow-ups. Assessments included self-reported demographics, health care utilization, medication use, pain, anxiety, depression, sleep, and QOL. Cannabis Users (n=808) were compared with Controls (n=468) using negative binomial regression and linear mixed effects models testing the effect of initiation, cessation, and maintenance of medicinal cannabis use. Results: Cannabis Users self-reported significantly better QOL [t(1054)=-4.19, p<0.001], greater health satisfaction [t(1045)=-4.14, p<0.001], improved sleep [children: t(224)=2.90, p<0.01; adults: [t(758)=3.03, p<0.01], lower average pain severity [t(1150)=2.34, p<0.05], lower anxiety [t(1151)=4.38, p<0.001], and lower depression [t(1210)=5.77, p<0.001] compared with Controls. Cannabis Users reported using fewer prescription medications (rate ratio [RR]=0.86; 95% confidence interval [CI]: 0.77-0.96) and were less likely to have a past-month emergency department visit (RR=0.61; 95% CI: 0.44-0.84) or hospital admission (RR=0.54; 95% CI: 0.34-0.87). Controls who initiated cannabis use after baseline showed significant health improvements at follow-up, and the magnitude of improvement mirrored the between-group differences observed at baseline. Conclusions: Cannabis use was associated with improved health and QOL. Longitudinal testing suggests that group differences may be due to the medicinal use of cannabis. Although bias related to preexisting beliefs regarding the health benefits of cannabis in this sample should be considered, these findings indicate that clinical trials evaluating the efficacy of defined cannabinoid products for specific health conditions are warranted.

Baseline Cardiometabolic Profiles and SARS-CoV-2 Risk in the UK Biobank

Abstract: Background SARS-CoV-2 is a rapidly spreading coronavirus with a high incidence of severe upper respiratory infection that first presented in Wuhan, China in December 2019. Many factors have been identified as risk factors for SARS-CoV-2, with much attention being paid to body mass index (BMI), but little investigation has been done to investigate dysregulation of lipid profiles and diabetes, which are often comorbid in high BMI patients. Objective This study seeks to describe the impact of BMI, HDL, LDL, ApoA, ApoB, triglycerides, hemoglobin A1c (HbA1c), diabetes, alcohol and red wine intake on SARS-CoV-2 risk in UK Biobank (UKB) study participants. Methods We examined the effect of BMI, lipid profiles, diabetes and alcohol intake on the risk of testing positive for SARS-Cov-2 among 9,005 UKB participants tested for SARS-CoV-2 from March 16 through June 29, 2020. Logistic regression was performed on the target variables controlling for age, sex and ancestry. Results BMI, Type II diabetes and HbA1c were associated with increased SARS-CoV-2 risk (p Conclusion Elevated HDL and ApoA levels and alcohol intake, specifically red wine intake, were associated with reduced risk of testing positive for SARS-CoV-2, while type II diabetes and HbA1c were associated with increased risk. The effects of alcohol, type II diabetes and HbA1c levels may be indirect, mediated in part through regulation of HDL levels. In summary, our study corroborates the emerging picture that high HDL levels may confer protection against SARS-CoV-2. Highlights Increases in HDL is associated with reduced risk of testing positive for SARS-CoV-2. Type II diabetes and hemoglobin A1C levels were associated with elevated risk of testing positive for SARS-CoV-2, but this effect was abrogated when controlling for HDL. Alcohol intake, specifically red wine intake, is associated with reduced risk of testing positive for SARS-CoV-2, though this effect may in part be moderated by HDL. LDL and Triglycerides were not associated with increased risk of testing positive for SARS-CoV-2.

The Social and Natural Environment’s Impact on SARS-CoV-2 Infections in the UK Biobank

Abstract: COVID-19 has caused a global pandemic with considerable impact. Studies have examined the influence of socioeconomic status and air pollution on COVID-19 risk but in low detail. This study seeks to further elucidate the nuances of socioeconomic status, as defined by the Index of Multiple Deprivation (IMD), air pollution, and their relationship. We examined the effect of IMD and air pollution on the likelihood of testing positive for SARS-CoV-2 among 66,732 UKB participants tested for SARS-CoV-2 from 16 March 2020 through 16 March 2021. Logistic regression was performed controlling for age, sex, ancestry and IMD or air pollution in the respective models. IMD and its sub-scores were significantly associated with increased risk of testing positive for SARS-CoV-2. All particulate matter less than 2.5 μm (PM2.5), nitrogen oxide (NOx), and nitrogen dioxide (NO2) levels were associated with increased likelihood of testing positive for SARS-CoV-2. Measures of green space and natural environment around participants’ homes were associated with reduced likelihood of SARS-CoV-2. Socioeconomic status and air pollution have independent effects on the risk of testing positive for SARS-CoV-2. Green space and natural environment space in the proximity of people’s homes may mediate the effect of air pollution on the risk of testing positive for SARS-CoV-2.

Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association

Abstract: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy.Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Metabolic Syndrome and COVID-19.

Abstract: Recent studies showed that comorbidities such as diabetes, hypertension and obesity contribute to severe and worse outcomes of coronavirus disease 2019 (COVID-19), suggesting that metabolic syndrome and its components are associated with severity of COVID-19. Here, I systematically reviewed a possible association of metabolic syndrome with the susceptibility to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and severity of COVID-19 by literature search. A population-based study and UK Biobank studies showed that patients with metabolic syndrome is highly susceptible to SARS-CoV-2 infection. Recent meta-analyses showed that metabolic syndrome is significantly associated with the development of severe COVID-19. Angiotensin-converting enzyme (ACE) 2 is the cellular entry receptor of SARS-CoV-2. Enhanced ACE2 expression, pre-existing endothelial dysfunction and procoagulant state induced by adipocytokines dysregulation in metabolic syndrome may play a crucial role for the development of severe COVID-19.

Trends in Fatal Motor Vehicle Crashes Before and After Marijuana Commercialization in Colorado

Abstract: BACKGROUND Legal medical marijuana has been commercially available on a widespread basis in Colorado since mid-2009; however, there is a dearth of information about the impact of marijuana commercialization on impaired driving. This study examined if the proportions of drivers in a fatal motor vehicle crash who were marijuana-positive and alcohol-impaired, respectively, have changed in Colorado before and after mid-2009 and then compared changes in Colorado with 34 non-medical marijuana states (NMMS). METHODS Thirty-six 6-month intervals (1994-2011) from the Fatality Analysis Reporting System were used to examine temporal changes in the proportions of drivers in a fatal motor vehicle crash who were alcohol-impaired (≥0.08 g/dl) and marijuana-positive, respectively. The pre-commercial marijuana time period in Colorado was defined as 1994-June 2009 while July 2009-2011 represented the post-commercialization period. RESULTS In Colorado, since mid-2009 when medical marijuana became commercially available and prevalent, the trend became positive in the proportion of drivers in a fatal motor vehicle crash who were marijuana-positive (change in trend, 2.16 (0.45), p<0.0001); in contrast, no significant changes were seen in NMMS. For both Colorado and NMMS, no significant changes were seen in the proportion of drivers in a fatal motor vehicle crash who were alcohol-impaired. CONCLUSIONS Prevention efforts and policy changes in Colorado are needed to address this concerning trend in marijuana-positive drivers. In addition, education on the risks of marijuana-positive driving needs to be implemented.