The Relationship Between Metabolic Syndrome and Mortality Among Patients With Acute Respiratory Distress Syndrome in Acute Respiratory Distress Syndrome Network and Prevention and Early Treatment of Acute Lung Injury Network Trials.

OBJECTIVES: Metabolic syndrome is known to predict outcomes in COVID-19 acute respiratory distress syndrome (ARDS) but has never been studied in non-COVID-19 ARDS. We therefore aimed to determine the association of metabolic syndrome with mortality among ARDS trial subjects. DESIGN: Retrospective cohort study of ARDS trials' data. SETTING: An ancillary analysis was conducted using data from seven ARDS Network and Prevention and Early Treatment of Acute Lung Injury Network randomized trials within the Biologic Specimen and Data Repository Information Coordinating Center database. PATIENTS: Hospitalized patients with ARDS and metabolic syndrome (defined by obesity, diabetes, and hypertension) were compared with similar patients without metabolic syndrome (those with less than three criteria). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary outcome was 28-day mortality. Among 4288 ARDS trial participants, 454 (10.6%) with metabolic syndrome were compared with 3834 controls (89.4%). In adjusted analyses, the metabolic syndrome group was associated with lower 28-day and 90-day mortality when compared with control (adjusted odds ratio [aOR], 0.70 [95% CI, 0.55-0.89] and 0.75 [95% CI, 0.60-0.95], respectively). With each additional metabolic criterion from 0 to 3, adjusted 28-day mortality was reduced by 18%, 22%, and 40%, respectively. In subgroup analyses stratifying by ARDS etiology, mortality was lower for metabolic syndrome vs. control in ARDS caused by sepsis or pneumonia (at 28 d, aOR 0.64 [95% CI, 0.48-0.84] and 90 d, aOR 0.69 [95% CI, 0.53-0.89]), but not in ARDS from noninfectious causes (at 28 d, aOR 1.18 [95% CI, 0.70-1.99] and 90 d, aOR 1.26 [95% CI, 0.77-2.06]). Interaction p = 0.04 and p = 0.02 for 28- and 90-day comparisons, respectively. CONCLUSIONS: Metabolic syndrome in ARDS was associated with a lower risk of mortality in non-COVID-19 ARDS. The relationship between metabolic inflammation and ARDS may provide a novel biological pathway to be explored in precision medicine-based trials.

Patient evaluation of a virtual visit program for adults with congenital heart disease.

BACKGROUND: Improved longevity for adults with congenital heart disease (ACHD) necessitates regular, longitudinal care for this population. Telemedicine has emerged as a strategy to increase access to subspecialty care. We evaluated patient experience with a virtual visit program in the pre-COVID era to identify patient-centered benefits and limitations. METHODS: We enrolled patients for 30-minute synchronous videoconferencing virtual visits at our institution between October 2013 and March 2019. All patients were Massachusetts residents. Patients were surveyed and their characteristics were abstracted from electronic medical records. RESULTS: A total of 264 virtual visits were conducted among 174 patients with a median age of 40 years. Patients traveled a median of 70 miles for in-person visits. Many visits were to review patient data (47%), and most individuals had moderate complexity CHD (45%). Patients reported very high satisfaction with a median visit rating of 10. Patients mostly preferred virtual visits when considering convenience and cost. No difference in preference to in-person visits was reported when considering sharing private information, confidence that concerns would be addressed, and overall visit quality. In-person visits were still preferred for personal connections and showing a physical problem. CONCLUSION: We find that patients are highly satisfied with virtual visits. ACHD programs should consider blended virtual and in-person care. Long-term regulatory provisions will further improve care through the expansion of telemedicine in the post-COVID era.

Disparities in patient engagement with video telemedicine among high-video-use providers during the COVID-19 pandemic.

Aims: Known racial, ethnic, age, and socioeconomic disparities in video telemedicine engagement may widen existing health inequities. We assessed if telemedicine disparities were alleviated among patients of high-video-use providers at a large cardiovascular practice. Methods and results: All telemedicine visits from 16 March to 31 October 2020 and patient demographics were collected from an administrative database. Providers in the upper quintile of video use were classified as high-video-use providers. Descriptive statistics and a multivariable logistic model were calculated to determine the distribution and predictors of a patient ever having a video visit vs. only phone visits. A total of 24 470 telemedicine visits were conducted among 18 950 patients by 169 providers. Video visits accounted for 48% of visits (52% phone). Among telemedicine visits conducted by high-video-use providers (n = 33), ever video patients were younger (P < 0.001) and included 78% of Black patients vs. 86% of White patients (P < 0.001), 74% of Hispanic patients vs. 86% of non-Hispanic patients (P < 0.001), and 79% of public insurance patients vs. 91% of private insurance patients (P < 0.001). High-video-use provider patients had 9.4 (95% confidence interval 8.4-10.4) times the odds of having video visit compared to low-video-use provider patients. Conclusion: These results suggest that provider-focused solutions alone, including promoting provider adoption of video visits, may not adequately reduce disparities in telemedicine engagement. Even in the presence of successful clinical infrastructure for telemedicine, individuals of Black race, Hispanic ethnicity, older age, and with public insurance continue to have decreased engagement. To achieve equity in telemedicine, patient-focused design is needed.

Social determinants of telemedicine utilization in ambulatory cardiovascular patients during the COVID-19 pandemic.

Aims: The coronavirus disease 2019 (COVID-19) pandemic has resulted in the rapid uptake of telemedicine (TM) for routine cardiovascular care. To examine the predictors of TM utilization among ambulatory cardiology patients during the COVID-19 pandemic. Methods and results: In this single-centre retrospective study, all ambulatory cardiovascular encounters occurring between 16 March and 19 June 2020 were assessed. Baseline characteristics by visit type (in-person, TM phone, TM video) were compared using Chi-square and student t-tests, with statistical significance defined by P-value <0.05. Multivariate logistic regression was used to explore the predictors of TM vs. in-person care. A total of 8446 patients [86% Non-Hispanic (NH) White, 42% female, median age 66.8 ± 15.2 years] completed an ambulatory cardiovascular visit during the study period. TM phone (n = 4981, 61.5%) was the primary mode of ambulatory care followed by TM video (n = 2693, 33.2%). NH Black race [odds ratio (OR) 0.56, 95% confidence interval (CI): 0.35-0.94; P-value = 0.02], Hispanic ethnicity (OR 0.53, 95% CI: 0.29-0.98; P = 0.04), public insurance (Medicaid OR 0.50, 95% CI: 0.32-0.79; P = 0.003, Medicare OR 0.65, 95% CI: 0.47-0.89; P = 0.009), zip-code linked median household income of <$75 000, age >85 years, and patients with a diagnosis of heart failure were associated with reduced access to TM video encounters and a higher likelihood of in-person care. Conclusions: Significant disparities in TM video access for ambulatory cardiovascular care exist among the elderly, lower income, as well as Black and Hispanic racial/ethnic groups.

Development of an entirely remote, non-physician led hypertension management program.

BACKGROUND: Hypertension remains poorly controlled on the population level. National rates of control, even when defined leniently by BP < 140/90 mm Hg, are only ~50%. As growing healthcare costs coincide with tighter blood pressure (BP) targets, innovative management programs are needed to maximize efficiency of care delivery and optimize control. HYPOTHESIS: We aimed to develop a remote, navigator-led hypertension innovation program that would leverage algorithmic care pathways, home BP measurements and patient coaching to allow rapid and complete medication titration. METHODS: A multidisciplinary group of clinical experts from subspecialties and primary care collaborated to develop an evidence-based clinical algorithm, designed to be automated and administered by non-licensed patient navigators. In the development stage, a prospective pilot cohort of 130 patients was managed by nurse practitioners and pharmacists to ensure efficacy and safety. Patients with clinic BP ≥ 140/90 mm Hg were enrolled and given a Bluetooth-enabled BP device. Home BPs were transmitted automatically into the electronic medical record. Medication titrations were performed by phone at biweekly intervals, based upon weekly average BP, until home BP was controlled at <135/85 mm Hg. RESULTS: Eighty-one percent of all enrolled, and 91% of those patients who regularly measured home BP achieved goal, in an average of 7 weeks. Control was reached similarly across races, genders, and ages. CONCLUSIONS: A home-based BP control program run by non-physicians can provide efficient, effective and rapid control, suggesting an innovative paradigm for hypertension management. This program is effective, sustainable, adaptable, and scalable to fit current and emerging national systems of healthcare.