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Using Machine Learning to advance primary care: an example of predictive modeling of hypertension risk to impact outcomes [Hypertension]

Annals of Family Medicine

Context: While hypertension is the most common chronic disease cared for during adult primary care visits, it is challenging to know which hypertensive patients have the highest risk of cardiovascular complications in the future. Population Studied: LVHN has 107,851 adult out-patients with hypertension, and 66.4%

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Intervention Strategies for Management of Comorbid Depression Among Individuals With Hypertension: A Scoping Review [Cardiovascular disease]

Annals of Family Medicine

Background: Hypertension and depression frequently co-occur, complicating patient management and worsening outcomes. This scoping review aims to systematically map non-pharmacological interventions for managing comorbid hypertension and depression, providing insights into current practices and guiding future research.

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The T-Connector Approach: a simultaneous method for in-office assessment of home blood pressure monitor accuracy [Hypertension]

Annals of Family Medicine

Context Hypertension Canada recommends home blood pressure monitors (HBPM) for diagnosing and managing hypertension. Setting Kaye Edmonton Clinic Family Medicine Clinic and a hypertension research lab. there appears to be reasonable utility for using a T-Connector to qualitatively declare a HBPM to be inaccurate for its user.

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Understanding components of Maternal Diet among those diagnosed with Gestational Diabetes and/or Hypertension in Flint, MI [Community based participatory research]

Annals of Family Medicine

Context: Gestational Diabetes Mellitus (GDM) and Gestational Hypertension (GHTN), each linked to poor maternal and infant health outcomes, affect an average of 5-10% of US pregnancies. Study Design and Analysis: This cross-sectional study utilized self-reported baseline data from a longitudinal study.

Diagnose 130
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Identifying Patients at High Risk for Falls using an AI/ML model [Geriatrics]

Annals of Family Medicine

Overtreatment of hypertension has been identified as a major risk factor for putting patients at risk for falls in patients with low blood pressures. Study Design: Secondary data analysis created a machine learning model that identified high risk patients potentially over treated for hypertension placing them at higher fall risk.

Patients 130
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Acute changes in insulin requirements in response to plant-based dietary interventions. [Diabetes and endocrine disease]

Annals of Family Medicine

To address this knowledge deficit, we conducted a nonrandomized crossover trial utilizing two plant-based diets (Dietary Approaches to Stop Hypertension, or DASH, and Whole Food, Plant-Based, or WFPB) among individuals with insulin-treated type 2 diabetes.

Diabetes 130
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The Food Costs of Healthier Eating: a Post-Hoc Analysis of a Diabetes Intervention using Plant-Based Diets [Obesity, exercise and nutrition]

Annals of Family Medicine

Recruiting adults with insulin-treated type 2 diabetes, we conducted a non-randomized crossover trial with meals provided utilizing two ad libitum diets: Dietary Approaches to Stop Hypertension (DASH) and whole food, plant-based (WFPB), and had dietary intake data from baseline and both intervention diets for all participants.

Diabetes 130