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Lackland, Daniel T.

0000-0001-5733-6283

Mayo Clinic

Medical University of South Carolina

Citations 3

Epidemiologic Features of Recovery From SARS-CoV-2 Infection
Oelsner, Elizabeth C. , Sun, Yifei , Andrews, Howard , Carson, April P. , Cushman, Mary , Demmer, Ryan T. , Elkind, Mitchell S.V. , Gallo, Linda C. , Kandula, Namratha R. , Kaplan, Robert C. , Kucharska-Newton, Anna M., Lee, Joyce , Norwood, Arnita F. , Ortega, Victor E. , Gabriel, Kelley Pettee , Sotres‐Alvarez, Daniela , Shikany, James M., Thyagarajan, Bharat , Umans, Jason G. , Wenzel, Sally E. , Woodruff, Prescott G. , Zhang, Ying , Kucharska‐Newton, Anna , Carson, April P , Thyagarajan, Bharat , Oelsner, Elizabeth C , Kucharska-Newton, Anna M , Demmer, Ryan T , Lee, Joyce S , Wenzel, Sally E , Balte, Pallavi , Allen, Norrina B. , Cole, Shelley A. , Coresh, Josef , Couper, David , Daviglus, Martha , Gutierrez, Jose D., Howard, Virginia J. , Isasi, Carmen R. , Judd, Suzanne E. , Kanaya, Alka M , Kinney, Gregory L. , Lackland, Daniel T. , Make, Barry J. , Min, Yuan‐I , Murabito, Joanne M. , Psaty, Bruce M. , Regan, Elizabeth Anne , Schwartz, David A. , Tracy, Russell P. , Vasan, Ramachandran S. , Xanthakis, Vanessa , Post, Wendy S. , Wenzel, Sally E.

JAMA Network Open | June 17, 2024 | Volume: 7 | Issue: 6 | Pages: e2417440

10.1001/jamanetworkopen.2024.17440 Get It

ImportancePersistent symptoms and disability following SARS-CoV-2 infection, known as post–COVID-19 condition or “long COVID,” are frequently reported and pose a substantial personal and societal burden.ObjectiveTo determine time to recovery following SARS-CoV-2 infection and identify factors associated with recovery by 90 days.Design, Setting, and ParticipantsFor this prospective cohort study, standardized ascertainment of SARS-CoV-2 infection was conducted starting in April 1, 2020, across 14 ongoing National Institutes of Health–funded cohorts that have enrolled and followed participants since 1971. This report includes data collected through February 28, 2023, on adults aged 18 years or older with self-reported SARS-CoV-2 infection.ExposurePreinfection health conditions and lifestyle factors assessed before and during the pandemic via prepandemic examinations and pandemic-era questionnaires.Main Outcomes and MeasuresProbability of nonrecovery by 90 days and restricted mean recovery times were estimated using Kaplan-Meier curves, and Cox proportional hazards regression was performed to assess multivariable-adjusted associations with recovery by 90 days.ResultsOf 4708 participants with self-reported SARS-CoV-2 infection (mean [SD] age, 61.3 [13.8] years; 2952 women [62.7%]), an estimated 22.5% (95% CI, 21.2%-23.7%) did not recover by 90 days post infection. Median (IQR) time to recovery was 20 (8-75) days. By 90 days post infection, there were significant differences in restricted mean recovery time according to sociodemographic, clinical, and lifestyle characteristics, particularly by acute infection severity (outpatient vs critical hospitalization, 32.9 days [95% CI, 31.9-33.9 days] vs 57.6 days [95% CI, 51.9-63.3 days]; log-rank P < .001). Recovery by 90 days post infection was associated with vaccination prior to infection (hazard ratio [HR], 1.30; 95% CI, 1.11-1.51) and infection during the sixth (Omicron variant) vs first wave (HR, 1.25; 95% CI, 1.06-1.49). These associations were mediated by reduced severity of acute infection (33.4% and 17.6%, respectively). Recovery was unfavorably associated with female sex (HR, 0.85; 95% CI, 0.79-0.92) and prepandemic clinical cardiovascular disease (HR, 0.84; 95% CI, 0.71-0.99). No significant multivariable-adjusted associations were observed for age, educational attainment, smoking history, obesity, diabetes, chronic kidney disease, asthma, chronic obstructive pulmonary disease, or elevated depressive symptoms. Results were similar for reinfections.Conclusions and RelevanceIn this cohort study, more than 1 in 5 adults did not recover within 3 months of SARS-CoV-2 infection. Recovery within 3 months was less likely in women and those with preexisting cardiovascular disease and more likely in those with COVID-19 vaccination or infection during the Omicron variant wave.
Does the Association of Diabetes With Stroke Risk Differ by Age, Race, and Sex? Results From the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study
Malla, Gargya , Long, D. Leann , Irvin, Marguerite R. , Safford, Monika M. , Levine, Deborah A. , Howard, Virginia J. , Rhodes, J. , Voeks, Jenifer H. , Kleindorfer, Dawn , Carson, April P. , Carson, April P , Howard, Virginia J , Judd, Suzanne E. , Kissela, Brett , Lackland, Daniel T. , Howard, George , Anderson, Aaron , Meschia, James F.

Diabetes Care | August 8, 2019 | Volume: 42 | Issue: 10 | Pages: 1966-1972

10.2337/dc19-0442 Get It

OBJECTIVE Given temporal changes in diabetes prevalence and stroke incidence, this study investigated age, race, and sex differences in the diabetes–stroke association in a contemporary prospective cohort, the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study. RESEARCH DESIGN AND METHODS We included 23,002 non-Hispanic black and white U.S. adults aged ≥45 years without prevalent stroke at baseline (2003–2007). Diabetes was defined as fasting glucose ≥126 mg/dL, random glucose ≥200 mg/dL, or use of glucose-lowering medication. Incident stroke events were expert adjudicated and available through September 2017. RESULTS The prevalence of diabetes was 19.1% at baseline. During follow-up, 1,018 stroke events occurred. Among adults aged <65 years, comparing those with diabetes to those without diabetes, the risk of stroke was increased for white women (hazard ratio [HR] 3.72 [95% CI 2.10–6.57]), black women (HR 1.88 [95% CI 1.22–2.90]), and white men (HR 2.01 [95% CI 1.27–3.27]) but not black men (HR 1.27 [95% CI 0.77–2.10]) after multivariable adjustment. Among those aged ≥65 years, diabetes increased the risk of stroke for white women and black men, but not black women (HR 1.05 [95% CI 0.74–1.48]) or white men (HR 0.86 [95% CI 0.62–1.21]). CONCLUSIONS In this contemporary cohort, the diabetes–stroke association varied by age, race, and sex together, with a more pronounced effect observed among adults aged <65 years. With the recent increase in the burden of diabetes complications at younger ages in the U.S., additional efforts are needed earlier in life for stroke prevention among adults with diabetes.