The Effect of an AI-Based, Autonomous, Digital Health Intervention Using Precise Lifestyle Guidance on Blood Pressure in Adults With Hypertension: Single-Arm Nonrandomized Trial.

BACKGROUND: Home blood pressure (BP) monitoring with lifestyle coaching is effective in managing hypertension and reducing cardiovascular risk. However, traditional manual lifestyle coaching models significantly limit availability due to high operating costs and personnel requirements. Furthermore, the lack of patient lifestyle monitoring and clinician time constraints can prevent personalized coaching on lifestyle modifications. OBJECTIVE: This study assesses the effectiveness of a fully digital, autonomous, and artificial intelligence (AI)-based lifestyle coaching program on achieving BP control among adults with hypertension. METHODS: Participants were enrolled in a single-arm nonrandomized trial in which they received a BP monitor and wearable activity tracker. Data were collected from these devices and a questionnaire mobile app, which were used to train personalized machine learning models that enabled precision lifestyle coaching delivered to participants via SMS text messaging and a mobile app. The primary outcomes included (1) the changes in systolic and diastolic BP from baseline to 12 and 24 weeks and (2) the percentage change of participants in the controlled, stage-1, and stage-2 hypertension categories from baseline to 12 and 24 weeks. Secondary outcomes included (1) the participant engagement rate as measured by data collection consistency and (2) the number of manual clinician outreaches. RESULTS: In total, 141 participants were monitored over 24 weeks. At 12 weeks, systolic and diastolic BP decreased by 5.6 mm Hg (95% CI -7.1 to -4.2; P<.001) and 3.8 mm Hg (95% CI -4.7 to -2.8; P<.001), respectively. Particularly, for participants starting with stage-2 hypertension, systolic and diastolic BP decreased by 9.6 mm Hg (95% CI -12.2 to -6.9; P<.001) and 5.7 mm Hg (95% CI -7.6 to -3.9; P<.001), respectively. At 24 weeks, systolic and diastolic BP decreased by 8.1 mm Hg (95% CI -10.1 to -6.1; P<.001) and 5.1 mm Hg (95% CI -6.2 to -3.9; P<.001), respectively. For participants starting with stage-2 hypertension, systolic and diastolic BP decreased by 14.2 mm Hg (95% CI -17.7 to -10.7; P<.001) and 8.1 mm Hg (95% CI -10.4 to -5.7; P<.001), respectively, at 24 weeks. The percentage of participants with controlled BP increased by 17.2% (22/128; P<.001) and 26.5% (27/102; P<.001) from baseline to 12 and 24 weeks, respectively. The percentage of participants with stage-2 hypertension decreased by 25% (32/128; P<.001) and 26.5% (27/102; P<.001) from baseline to 12 and 24 weeks, respectively. The average weekly participant engagement rate was 92% (SD 3.9%), and only 5.9% (6/102) of the participants required manual outreach over 24 weeks. CONCLUSIONS: The study demonstrates the potential of fully digital, autonomous, and AI-based lifestyle coaching to achieve meaningful BP improvements and high engagement for patients with hypertension while substantially reducing clinician workloads. TRIAL REGISTRATION: ClinicalTrials.gov NCT06337734; https://clinicaltrials.gov/study/NCT06337734.

Unmet needs for food, medicine, and mental health services among vulnerable older adults during the COVID-19 pandemic.

OBJECTIVE: To examine sociodemographic factors associated with having unmet needs in medications, mental health, and food security among older adults during the COVID-19 pandemic. DATA SOURCES AND STUDY SETTING: Primary data and secondary data from the electronic health records (EHR) in an age-friendly academic health system in 2020 were used. STUDY DESIGN: Observational study examining factors associated with having unmet needs in medications, food, and mental health. DATA COLLECTING/EXTRACTION METHODS: Data from a computer-assisted telephone interview and EHR on community-dwelling older patients were analyzed. PRINCIPLE FINDINGS: Among 3400 eligible patients, 1921 (53.3%) (average age 76, SD 11) responded, with 857 (45%) of respondents having at least one unmet need. Unmet needs for medications were present in 595 (31.0%), for food in 196 (10.2%), and for mental health services in 292 (15.2%). Racial minorities had significantly higher probabilities of having unmet needs for medicine and food, and of being referred for services related to medications, food, and mental health. Patients living in more resource-limited neighborhoods had a higher probability of being referred for mental health services. CONCLUSIONS: Age-friendly health systems (AFHS) and their recognition should include assessing and addressing social risk factors among older adults. Proactive efforts to address unmet needs should be integral to AFHS.

Nocturnal Respiratory Rate Dynamics Enable Early Recognition of Impending Hospitalizations.

The days and weeks preceding hospitalization are poorly understood because they transpire before patients are seen in conventional clinical care settings. Home health sensors offer opportunities to learn signatures of impending hospitalizations and facilitate early interventions, however the relevant biomarkers are unknown. Nocturnal respiratory rate (NRR) is an activity-independent biomarker that can be measured by adherence-independent sensors in the home bed. Here, we report automated longitudinal monitoring of NRR dynamics in a cohort of high-risk recently hospitalized patients using non-contact mechanical sensors under patients' home beds. Since the distribution of nocturnal respiratory rates in populations is not well defined, we first quantified it in 2,000 overnight sleep studies from the NHLBI Sleep Heart Health Study. This revealed that interpatient variability was significantly greater than intrapatient variability (NRR variances of 11.7 brpm2 and 5.2 brpm2 respectively, n=1,844,110 epochs), which motivated the use of patient-specific references when monitoring longitudinally. We then performed adherence-independent longitudinal monitoring in the home beds of 34 high-risk patients and collected raw waveforms (sampled at 80 Hz) and derived quantitative NRR statistics and dynamics across 3,403 patient-nights (n= 4,326,167 epochs). We observed 23 hospitalizations for diverse causes (a 30-day hospitalization rate of 20%). Hospitalized patients had significantly greater NRR deviations from baseline compared to those who were not hospitalized (NRR variances of 3.78 brpm2 and 0.84 brpm2 respectively, n= 2,920 nights). These deviations were concentrated prior to the clinical event, suggesting that NRR can identify impending hospitalizations. We analyzed alarm threshold tradeoffs and demonstrated that nominal values would detect 11 of the 23 clinical events while only alarming 2 times in non-hospitalized patients. Taken together, our data demonstrate that NRR dynamics change days to weeks in advance of hospitalizations, with longer prodromes associating with volume overload and heart failure, and shorter prodromes associating with acute infections (pneumonia, septic shock, and covid-19), inflammation (diverticulitis), and GI bleeding. In summary, adherence-independent longitudinal NRR monitoring has potential to facilitate early recognition and management of pre-symptomatic disease.

Passive longitudinal weight and cardiopulmonary monitoring in the home bed.

Home health monitoring has the potential to improve outpatient management of chronic cardiopulmonary diseases such as heart failure. However, it is often limited by the need for adherence to self-measurement, charging and self-application of wearables, or usage of apps. Here, we describe a non-contact, adherence-independent sensor, that when placed beneath the legs of a patient's home bed, longitudinally monitors total body weight, detailed respiratory signals, and ballistocardiograms for months, without requiring any active patient participation. Accompanying algorithms separate weight and respiratory signals when the bed is shared by a partner or a pet. Validation studies demonstrate quantitative equivalence to commercial sensors during overnight sleep studies. The feasibility of detecting obstructive and central apneas, cardiopulmonary coupling, and the hemodynamic consequences of non-sustained ventricular tachycardia is also established. Real-world durability is demonstrated by 3 months of in-home monitoring in an example patient with heart failure and ischemic cardiomyopathy as he recovers from coronary artery bypass grafting surgery. BedScales is the first sensor to measure adherence-independent total body weight as well as longitudinal cardiopulmonary physiology. As such, it has the potential to create a multidimensional picture of chronic disease, learn signatures of impending hospitalization, and enable optimization of care in the home.

Remote Patient Monitoring Technologies for Predicting Chronic Obstructive Pulmonary Disease Exacerbations: Review and Comparison.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death by disease worldwide and has a 30-day readmission rate of 22.6%. In 2015, COPD was added to the Medicare Hospital Readmission Reductions Program. OBJECTIVE: The objective of this paper was to survey the current medical technologies for remote patient monitoring (RPM) tools that forecast COPD exacerbations in order to reduce COPD readmissions. METHODS: We searched literature and digital health news to find commercially available RPM devices focused on predicting COPD exacerbations. These technologies were reviewed and compared according to four criteria: forecasting ability, cost, ease of use, and appearance. A rating system was developed to facilitate the evaluation process. RESULTS: As of June 2019, a list of handheld and hands-free devices was compiled. We compared features and found substantial variations. Devices that ranked higher on all criteria tended to have a high or unlisted price. Commonly mass-marketed devices like the pulse oximeter and spirometer surprisingly fulfilled the least criteria. CONCLUSIONS: The COPD RPM technologies with most technological promise and compatibility with daily living appear to have high or unlisted prices. Consumers and providers need better access to product information to make informed decisions.

Prevention of venous thromboembolism in long term care: results of a multicenter educational intervention using clinical practice guidelines: part 2 of 2 (an AMDA Foundation project).

INTRODUCTION: Implementation of prophylaxis for venous thomboembolism (VTE) through risk assessment based on clinical practice guidelines (CPGs) is variably adopted in long term care facilities (LTCF). Current guidelines recommend venous thromboembolism prophylaxis (VTE-P) following risk assessment, individualized to patient status. In LTCF, differing comorbidity, life-expectancy, ethical, and quality-of-life issues may warrant a unique approach. This article examines VTE-P practices in LTCF before and after educational intervention to bring practice patterns consistent with CPGs. METHODS: Phase 1 (preceding article in this issue) identified current practice to assess risk and implement VTE-P (17 geographically diverse LTCFs, 3260 total beds). Phase 2 (educational intervention using CPGs) and Phase 3 (outcomes) reexamined VTE-P at the same 17 centers. RESULTS: The frequency of indications for VTE-P and contraindications to anticoagulation were similar during Phases 1 and 3 (all P > .05). In Phase 3, use of aspirin alone decreased more than 50% (P < .0005), whereas use of compression devices increased (P < .0005). Regression models predicted no relationship between any indication or contraindication and VTE-P in Phase 1 (all P > .05) but identified significant relationships between indication and contraindications and VTE-P in Phase 3 (P = .022 to P < .0005), suggesting adequate understanding of current CPGs following education as the basis for improved VTE-P. CONCLUSIONS: The study confirms the presence of significant comorbidity in LTC residents, many with indications for VTE-P, some with contraindications for anticoagulation. Following educational intervention, more residents received VTE-P, influenced by risk-benefit ratio favoring treatment. These findings suggest that even a modest educational intervention significantly improves provider knowledge pertinent to risk assessment consistent with CPG and more appropriate VTE-P.

Prevention of venous thromboembolism: practice patterns in 17 geographically diverse long term care facilities in the United States: part 1 of 2 (an AMDA Foundation project).

INTRODUCTION: Current guidelines recommend antithrombotic prophylaxis for venous thromboembolism (VTE) using risk assessment, factoring contraindications. This report represents a summary of current practice patterns to prevent VTE in long term care as Phase 1 of a 3-phase educational intervention study. PHASE 1 PARTICIPANTS: Participants were 376 new admissions/readmissions (77 ± 12 [SD] years; 67% female) from 17 geographically diverse long term care facilities (3260 total beds). MEASUREMENTS: The process describes current VTE prophylaxis (VTE-P) practices; a companion article describes the educational intervention (Phase 2) and outcome (Phase 3). Phase 1 data were collected on use of nonpharmacological measures and antithrombotic drugs for VTE-P between July and September 2009. RESULTS: Indications for VTE-P were evident in 85% of new admissions, of which two-thirds received VTE-P. Contraindications for anticoagulation were observed in 54.8% of admissions, including quality of life or patient/caregiver wishes. Logistic regression analysis predicted no relationship between any indication for or any contraindication to VTE-P and use of VTE-P, suggesting an inadequate understanding of current clinical practice guidelines. CONCLUSIONS: Residents of long term care have significant comorbidity that poses risk for VTE; although many received VTE-P, contraindications were common, warranting individualized considerations. The likelihood of VTE-P was greatest following orthopedic surgery, severe trauma, and medical illness.

Chronic anemia and fatigue in elderly patients: results of a randomized, double-blind, placebo-controlled, crossover exploratory study with epoetin alfa.

OBJECTIVES: To evaluate the effect of epoetin alfa treatment on hemoglobin (Hb), fatigue, quality of life (QOL), and mobility in elderly patients with chronic anemia. DESIGN: An exploratory, 32 week, randomized, double-blind, crossover treatment trial. PARTICIPANTS: Sixty-two community-dwelling individuals aged 65 and older with chronic anemia (Hb < or =11.5 g/dL). INTERVENTION: Subcutaneous epoetin alfa or placebo weekly for 16 weeks (Phase I) with crossover to the opposite treatment (Phase II). MEASUREMENTS: Hb and QOL scores from the Functional Assessment of Chronic Illness Therapy (FACIT) measurement system. Mobility was assessed as a secondary outcome using the Timed Up and Go (TUG) test. RESULTS: Of the 62 subjects enrolled, complete data were analyzed for 58 in Phase I and 54 participants in Phase II. Of those enrolled, most were African American (95%) and female (85%) and had multiple comorbidities and a mean age+/-standard deviation of 76.1+/-7.2. Mean baseline Hb was 10.5+/-0.9 g/dL (7.3-11.5). In Phase I, 67% of those taking epoetin alfa, and in Phase II, 69% of those taking epoetin alfa had an increase in Hb of more than 2 g/dL, significantly more than those taking placebo (P<.001). Similarly, elderly participants significantly improved on the fatigue and anemia subscales of the FACIT across phases (all P<.05). No significant differences were found between treatment and placebo on TUG scores. Epoetin alfa was well tolerated. CONCLUSION: In this trial involving predominantly older African-American women with anemia, a direct relationship existed between increases in Hb during epoetin alfa therapy and improvements in fatigue and QOL.