Research

Recent Publications

  • Earle, William B, Nathan W Watson, Stephen P Juraschek, Jennifer L Cluett, Anna K Krawisz, and Eric A Secemsky. (2026) 2026. “Contemporary Prevalence and Treatment Patterns Among US Adults With Apparent Treatment-Resistant Hypertension.”. Hypertension (Dallas, Tex. : 1979). https://doi.org/10.1161/HYPERTENSIONAHA.125.25659.

    BACKGROUND: Resistant hypertension is associated with adverse cardiovascular outcomes and mortality. In the past decade, management guidelines have shifted to target lower blood pressures (BP). Current prevalence and prescribing patterns among adults with resistant hypertension are not well characterized.

    METHODS: We used data from the National Health and Nutrition Examination Survey from 2003 to 2020. Apparent treatment-resistant hypertension (aTRH) was defined as patients on a diuretic, either with a systolic BP ≥130 or diastolic BP ≥80 mm Hg while on 3 medications or those on ≥4 medications regardless of BP. Medications were identified through pill bottle review.

    RESULTS: Of 24 579 adults with hypertension, 1939 had aTRH (42.4% male, 19.9% Black), corresponding to a weighted total of 6 989 821 US patients. Among hypertensive adults, the prevalence of aTRH was 6.41% (95% CI, 5.97%-6.88%) and remained stable over time. Over the study duration, aTRH prevalence among adults on treatment decreased from 17.7% to 12.6%. The overall prevalence of hypertension rose from 50.1% to 54.0%, while the prevalence of uncontrolled BP decreased from 75.0% to 68.7%. Over time, use of 3 drug regimens for aTRH decreased (57.8%-42.9%), while 4 drug regimens increased (34.0%-51.8%). aTRH was most strongly associated with older patients, those of Black race, higher body mass index, and more advanced cardiovascular comorbidities.

    CONCLUSION: The prevalence of aTRH has remained stable over the past 2 decades despite the rising incidence of hypertension. Use of multidrug treatment regimens has increased, aligning with national guidelines. However, uncontrolled hypertension remains high.

  • Wu, Zhiyuan, Binkai Liu, Xiaowen Wang, Hala Alessa, Oana A Zeleznik, Heather Eliassen, Clary Clish, et al. (2026) 2026. “Effect of Low-Carbohydrate and Low-Fat Diets on Metabolomic Indices and Coronary Heart Disease in U.S. Individuals.”. Journal of the American College of Cardiology. https://doi.org/10.1016/j.jacc.2025.12.038.

    BACKGROUND: Low-carbohydrate diet (LCD) and low-fat diet (LFD) patterns are practiced by many in the United States, although their health effects, as well as the role of diet quality in the effects, are not fully understood.

    OBJECTIVES: This study aimed to prospectively examine the associations of these diets, which emphasize different quantities and qualities of macronutrients, as well as their objective metabolomic indices, with coronary heart disease (CHD) risk in U.S.

    METHODS: We followed 42,720 men in the Health Professionals Follow-Up Study (HPFS) (1986-2016), 64,164 women in the Nurses' Health Study (NHS) (1986-2018), and 91,589 women in NHSII (1991-2019) for CHD incidence. Five LCD and 5 LFD indices were derived based on food frequency questionnaire (FFQ) assessments, each emphasizing different sources and qualities of macronutrients (animal products vs plant-based foods, whole grains vs refined carbohydrates, etc). Multimetabolite scores of LCD and LFD indices assessed using FFQ assessments were developed through elastic net regressions among 1,146 healthy participants in the lifestyle validation studies (LVS), substudies embedded in the NHS/NHSII/HPFS.

    RESULTS: During 5,248,916 person-years of follow-up, we documented 20,033 CHD cases. When comparing individuals with the highest LCD scores (emphasizing lower carbohydrate contents) and those with the lowest, the pooled multivariable-adjusted hazard ratios (95% CIs) for CHD were 1.05 (1.01-1.10) for overall LCD, 1.07 (1.02-1.12) for animal LCD, 0.94 (0.90-0.99) for vegetable LCD, 1.14 (1.09-1.20) for unhealthy LCD, and 0.85 (0.82-0.89) for healthy LCD. These estimates were 0.93 (0.89-0.98) for overall LFD, 0.94 (0.90-0.98) for animal LFD, 0.87 (0.83-0.91) for vegetable LFD, 1.12 (1.07-1.17) for unhealthy LFD, and 0.87 (0.83-0.91) for healthy LFD. The healthy versions of the LCD and LFD patterns were also linked to lower triglycerides, higher high-density lipoprotein cholesterol, and lower high-sensitivity C-reactive protein levels, as well as favorable metabolomic profiles, including increased 3-indolepropionic acid and decreased valine. Unhealthy patterns showed opposite associations. Multimetabolite scores of LCD and LFD indices were developed in the LVS (Spearman r = 0.57-0.68) and replicated in NHS, NHSII, and HPFS (r = 0.21-0.38). They showed associations with CHD risk highly consistent with those based on FFQ assessments.

    CONCLUSIONS: These findings highlight the critical role of diet quality in determining health effects of low-carbohydrate and low-fat diets on CHD risk. The healthy versions of these diets may exert their health benefits through some common pathways that together entail favorable cardiovascular risk profile and lower CHD risk.

  • Bernstein, Eden Y, Linnea M Wilson, Gina R Kruse, Jennifer Edelman, Shoshana J Herzig, and Timothy S Anderson. (2025) 2025. “Alcohol-Related Hospitalizations From 2016 to 2022.”. JAMA Network Open 8 (12): e2550589. https://doi.org/10.1001/jamanetworkopen.2025.50589.

    IMPORTANCE: Unhealthy alcohol use contributes to a high rate of mortality. While alcohol use increased during the COVID-19 pandemic, recent trends in alcohol-related hospitalizations are unknown.

    OBJECTIVE: To examine US trends in the rate and outcomes of alcohol-related hospitalizations from 2016 to 2022.

    DESIGN, SETTING, AND PARTICIPANTS: This serial cross-sectional study examined hospitalizations among adults aged 18 years or older who were sampled in the National Inpatient Sample, weighted to reflect nationally representative estimates. Data were examined from April to October 2025.

    MAIN OUTCOMES AND MEASURES: The primary outcome was alcohol-related hospitalizations, defined using discharge diagnosis codes. Hospitalizations were categorized as primary alcohol use disorder (AUD), primary alcohol-related medical complication, and secondary alcohol-related diagnosis based on discharge diagnosis codes. Secondary outcomes included in-hospital mortality, length of stay, cost of hospitalizations, and discharge disposition.

    RESULTS: This study included a weighted 12 912 240 alcohol-related hospitalizations (age 50 to 64 years, 40.4% [95% CI, 40.3%-40.5%]; male, 71.5% [95% CI, 71.4%-71.6%]; Black, 15.6% [95% CI, 15.3%-15.9%]; Hispanic, 11.2% [95% CI, 10.9%-11.4%]; White, 64.9% [95% CI, 64.5%-65.3%]). From 2016 to 2022, the annual rate of alcohol-related hospitalizations per 100 000 remained stable from 721 in 2016 to 688 in 2022 (annual percentage change [APC], -0.43; 95% CI, -1.28 to 0.49) but increased from 70 to 83 among hospitalizations for alcohol-related medical complications (APC, 3.56; 95% CI, 2.19 to 4.94). Trends across demographic groups differed by reasons for hospitalization. In-hospital mortality increased from 2.4% (95% CI, 2.3% to 2.5%) in 2016 to 3.1% (95% CI, 3.0% to 3.2%) in 2022 (P < .001). Mean length of stay increased from 5.6 (95% CI, 5.6 to 5.7) to 6.2 (95% CI, 6.1 to 6.3) days (P < .001), and the rate of self-directed discharges increased from 5.0% (95% CI, 4.8% to 5.2%) to 6.3% (95% CI, 6.1% to 6.5%) (P < .001). Hospitalization costs increased even after accounting for inflation and amounted to $32.6 billion in 2022.

    CONCLUSION AND RELEVANCE: In this serial cross-sectional study of nationally representative administrative data from 2016 and 2022, the rate of alcohol-related hospitalizations was stable while mortality, length of stay, and health care costs all increased. Preventive efforts are needed to improve outcomes and reduce health care spending by reducing population-level alcohol consumption and engaging patients in AUD treatment before progression to alcohol-related hospitalizations.

  • Kwapong, Fredrick Larbi, Benjamin Grobman, Hannah Col, Md Marufuzzaman Khan, Dhrumil Patil, Emily L Aidoo, Mingyu Zhang, et al. (2026) 2026. “Factors Associated With Discordant Blood Pressure Measures Among Very Old Adults: Results From the Atherosclerosis Risk in Communities (ARIC) Study.”. Hypertension (Dallas, Tex. : 1979). https://doi.org/10.1161/HYPERTENSIONAHA.125.26377.

    BACKGROUND: Home blood pressure (BP) monitoring (HBPM) is increasingly used as an alternative to office BP. However, factors influencing agreement between office and home BP among very old adults remain unclear.

    METHODS: During ARIC (Atherosclerosis Risk in Communities) visit 10, participants underwent 3 automated office BP (AOBP) measurements using an Omron HEM-907XL and performed HBPM twice daily for 8 days using an Omron BP7450. Discordance was defined as a systolic BP difference of ±10 mm Hg between mean AOBP and HBPM. Multivariable regression models evaluated demographic, anthropometric, and clinical factors associated with discordance.

    RESULTS: Among 792 participants (58% female; mean age, 84±3.7 years), mean systolic BP was 130.6 mm Hg (AOBP) and 129.6 mm Hg (HBPM). Despite a minimal average difference (1.0±15.7 mm Hg), 49% had ≥10 mm Hg systolic BP discordance. Higher AOBP was associated with greater discordance. Compared with females, males had lower AOBP relative to HBPM (-4.69 mm Hg [95% CI, -6.86 to -2.51]). Smaller arm circumference was associated with higher discordance (β=14.4 mm Hg [95% CI, 4.78-24.04]). Frail adults had lower AOBP relative to HBPM (β, -5.1 mm Hg [95% CI, -11.0 to 0.9]). Baseline AOBP systolic BP ≥140 mm Hg strongly predicted discordance ≥+10 mm Hg (odds ratio, 8.27 [95% CI, 5.52-12.40]). Participants aged 91 to 100 years had lower AOBP than those aged 78 to 80 years (β, -5.0 mm Hg [95% CI, -10.06 to 0.001]).

    CONCLUSIONS: Among very old adults, substantial BP discordance between AOBP and HBPM was common and influenced by higher BP, age, male sex, arm circumference, and frailty.