Predicting health outcomes with intensive longitudinal data collected by mobile health devices: a functional principal component regression approach.

BACKGROUND: Intensive longitudinal data (ILD) collected in near real time by mobile health devices provide a new opportunity for monitoring chronic diseases, early disease risk prediction, and disease prevention in health research. Functional data analysis, specifically functional principal component analysis, has great potential to abstract trends in ILD but has not been used extensively in mobile health research. OBJECTIVE: To introduce functional principal component analysis (fPCA) and demonstrate its potential applicability in estimating trends in ILD collected by mobile heath devices, assessing longitudinal association between ILD and health outcomes, and predicting health outcomes. METHODS: fPCA and scalar-to-function regression models were reviewed. A case study was used to illustrate the process of abstracting trends in intensively self-measured blood glucose using functional principal component analysis and then predicting future HbA1c values in patients with type 2 diabetes using a scalar-to-function regression model. RESULTS: Based on the scalar-to-function regression model results, there was a slightly increasing trend between daily blood glucose measures and HbA1c. 61% of variation in HbA1c could be predicted by the three preceding months' blood glucose values measured before breakfast (P < 0.0001, [Formula: see text]). CONCLUSIONS: Functional data analysis, specifically fPCA, offers a unique tool to capture patterns in ILD collected by mobile health devices. It is particularly useful in assessing longitudinal dynamic association between repeated measures and outcomes, and can be easily integrated in prediction models to improve prediction precision.

Outcomes from Partner2Lose: a randomized controlled trial to evaluate 24-month weight loss in a partner-assisted intervention.

BACKGROUND: Partner support is associated with better weight loss outcomes in observational studies, but randomized trials show mixed results for including partners. Unclear is whether teaching communication skills to couples will improve weight loss in a person attempting weight loss (index participant). PURPOSE: To compare the efficacy of a partner-assisted intervention versus participant-only weight management program on 24-month weight loss. METHODS: This community-based study took place in Madison, WI. Index participants were eligible if they met obesity guideline criteria to receive weight loss counseling, were aged 18-74 years, lived with a partner, and had no medical contraindications to weight loss; partners were aged 18-74 years and not underweight. Couples were randomized 1:1 to a partner-assisted or participant-only intervention. Index participants in both arms received an evidence-based weight management program. In the partner-assisted arm, partners attended half of the intervention sessions, and couples were trained in communication skills. The primary outcome was index participant weight at 24 months, assessed by masked personnel; secondary outcomes were 24-month self-reported caloric intake and average daily steps assessed by an activity tracker. General linear mixed models were used to compare group differences in these outcomes following intent-to-treat principles. RESULTS: Among couples assigned to partner-assisted (n = 115) or participant-only intervention (n = 116), most index participants identified as female (67%) and non-Hispanic White (87%). Average baseline age was 47.27 years (SD 11.51 years) and weight was 106.55 kg (SD 19.41 kg). The estimated mean 24-month weight loss was similar in the partner-assisted (2.66 kg) and participant-only arms (2.89 kg) (estimated mean difference, 0.23 kg [95% CI, -1.58, 2.04 kg], p=0.80). There were no differences in 24-month average daily caloric intake (estimated mean difference 50 cal [95% CI: -233, 132 cal], p=0.59) or steps (estimated mean difference 806 steps [95% CI: -1675, 64 steps], p=0.07). The percentage of participants reporting an adverse event with at least possible attribution to the intervention did not differ by arm (partner-assisted: 9%, participant-only, 3%, p = 0.11). CONCLUSIONS: Partner-assisted and individual weight management interventions led to similar outcomes in index participants. TRIAL REGISTRATION: Clinicaltrials.gov NCT03801174, January 11, 2019.

Expanding Technology-Enabled Nurse-Delivered Chronic Disease Care: EXTEND.

Mobile monitoring-enabled technologies could enhance telehealth for chronic illness care. EXTEND is an active comparator randomized trial (N=220) of two 24-month interventions: 1) mobile monitoring as a self-management tool (EXTEND); and 2) a 12-month nurse and pharmacist-delivered telehealth intervention incorporating mobile monitoring, self-management support, and medication management that is followed by a 12-month self-management period (EXTEND Plus). EXTEND Plus is a pragmatic approach to integrating mobile monitoring-enabled telehealth for patients uncontrolled diabetes and hypertension into existing clinical infrastructure.

Neurocysticercosis Presenting as Migraine in the United States.

BACKGROUND Cysticercosis is a condition caused by infection with the larval form of Taenia solium, a pork tapeworm that uses pigs as an intermediate host. Humans become infected when they ingest water or food contaminated with tapeworm cysts. Cysticercosis is increasing in frequency in developed countries due to increased access to travel. Neurocysticercosis occurs when Taenia solium cysts embed within the nervous system. The clinical presentation of neurocysticercosis ranges from asymptomatic to life-threatening, largely depending on the brain parenchymal involvement. The diagnosis is typically made with a combination of clinical evaluation, serology, and neuroimaging. Treatment for parenchymal neurocysticercosis may involve anthelmintic agents, symptomatic agents, surgery, or a combination of methods. CASE REPORT A 52-year-old man with a medical history of migraine headaches, complicated type 2 diabetes mellitus, and obesity presented with a 4-month change in his migraines becoming severe, worse over his occiput bilaterally, and unresponsive to abortive therapy. His exposure history was unremarkable except for a habit of eating undercooked bacon, by which he would have developed neurocysticercosis via autoinfection. Neuroimaging and serology confirmed a diagnosis of neurocysticercosis and he was treated accordingly with antiparasitic and anti-inflammatory medications. CONCLUSIONS This presentation is nonspecific and can easily be overlooked, especially if there is an underlying known neurological condition such as migraine. This case illustrates that neurocysticercosis should be considered when an existing neuropathological condition displays a change in presentation or requires a change in therapeutic management, even without obvious risk factors.

Mobile Monitoring-Enabled Telehealth for Patients with Complex Chronic Illnesses.

Telehealth has the potential to improve management of poorly controlled chronic diseases relative to clinic-based care alone. Mobile monitoring-enabled technologies could enhance telehealth for chronic illness care. Implementation in practice settings would rely on automated integration of data into the electronic health record (EHR). We describe the integration and visualization of data from four remote monitoring devices into the EHR that is coupled with the evaluation of an evidence-based nurse and pharmacist-led telehealth care model for patients with uncontrolled diabetes and hypertension. Using this new pragmatic infrastructure, clinicians use the EHR to prescribe for patients a suite of devices. Alerts are placed upon the data that notify a clinician when values go above or below set thresholds. These data are visualized in the clinical record and clinicians use the EHR as a tool for efficiently delivering and documenting patient telehealth encounters.

Primary outcomes from Partner2Lose: A randomized controlled trial to evaluate partner involvement on long-term weight loss.

Background: Partner support is associated with better weight loss outcomes in observational studies, but randomized trials show mixed results for including partners. Unclear is whether teaching communication skills to couples will improve weight loss in index participants. Purpose: To compare the efficacy of a partner-assisted intervention versus participant-only weight management program on long-term weight loss. Methods: This community-based study took place in Madison, WI. Index participants were eligible if they met obesity guideline criteria to receive weight loss counseling, were aged 74 years or younger, lived with a partner, and had no medical contraindications to weight loss; partners were aged 74 years or younger and not underweight. Couples were randomized 1:1 to a partner-assisted or participant-only intervention. Index participants in both arms received an evidence-based weight management program. In the partner-assisted arm, partners attended half of the intervention sessions, and couples were trained in communication skills. The primary outcome was index participant weight at 24 months, assessed by masked personnel; secondary outcomes were 24-month self-reported caloric intake and average daily steps assessed by an activity tracker. General linear mixed models were used to compare group differences in these outcomes following intent-to-treat principles. Results: Among couples assigned to partner-assisted (n=115) or participant-only intervention (n=116), most index participants identified as female (67%) and non-Hispanic White (87%). Average baseline age was 47.27 years (SD 11.51 years) and weight was 106.55 kg (SD 19.41 kg). The estimated mean 24-month weight loss was similar in the partner-assisted (2.66 kg) and participant-only arms (2.89 kg) (estimated mean difference, 0.23 kg [95% CI, -1.58, 2.04 kg]). There were no differences in 24-month average daily caloric intake (50 cal [95% CI: -233, 132 cal]) or steps (806 steps [95% CI: -1675, 64 steps]). The percentage of participants reporting an adverse event with at least possible attribution to the intervention did not differ by arm (partner-assisted: 9%, participant-only, 3%, p=0.11). Conclusions: Partner-assisted and individual weight management interventions led to similar outcomes in index participants. Trial registration: Clinicaltrials.gov NCT03801174.

A non-randomized comparison of engagement and outcomes for in-person versus virtual delivery of the Partner2Lose weight management trial.

Objective: Existing behavioral weight management interventions produce clinically meaningful weight loss. The onset of the COVID-19 pandemic led to the quick transition of such interventions from in-person to virtual platforms. This provided a unique opportunity to compare engagement and outcomes for an in-person versus virtually delivered weight management intervention. Methods: A non-randomized comparison of engagement and weight outcomes was performed between two cohorts who participated in a weight management intervention in person (N = 97) versus three who participated virtually via videoconference (N = 134). Various metrics of engagement were examined, including group class and individual phone call attendance and duration, and retention for weight assessments. Behavioral targets of daily caloric intake and step-counts and the clinical weight outcome were explored. Results: Cohorts (mean [standard deviation] age 47.3 (11.5), 67.1% women: 86.8% White) that participated virtually attended more group sessions (p < 0.001) and had maintenance telephone calls that were of a longer duration (p < 0.001). No other engagement or weight outcomes significantly differed by delivery modality. Conclusions: Virtual weight management programs are promising and may generate similar outcomes to those delivered in-person. Future research should seek to understand how best to promote and sustain engagement in virtual interventions.