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Estimating the Risk of Lower Extremity Complications in Adults Newly Diagnosed With Diabetic Polyneuropathy: Retrospective Cohort Study

Estimating the Risk of Lower Extremity Complications in Adults Newly Diagnosed With Diabetic Polyneuropathy: Retrospective Cohort Study

Up to 50% of the more than 38 million Americans who have diabetes experience some peripheral nerve damage, known as diabetic polyneuropathy [1,2]. Distal symmetric polyneuropathy, the most common type of diabetic polyneuropathy, is frequently characterized as pain, tingling, and numbness that starts in the extremities. Motor and autonomic involvement, also seen in those with diabetic polyneuropathy, can lead to foot deformity.

Alyce S Adams, Catherine Lee, Gabriel Escobar, Elizabeth A Bayliss, Brian Callaghan, Michael Horberg, Julie A Schmittdiel, Connie Trinacty, Lisa K Gilliam, Eileen Kim, Nima S Hejazi, Lin Ma, Romain Neugebauer

JMIR Diabetes 2025;10:e60141

Remote Foot Temperature Monitoring Among Veterans: Large Observational Study of Noncompliance and Its Correlates

Remote Foot Temperature Monitoring Among Veterans: Large Observational Study of Noncompliance and Its Correlates

Diabetic foot ulcers are common, debilitating, and costly diabetes complications. Over 10 percent of US adults [1] and nearly a quarter of veterans enrolled in Veterans Health Administration (VHA) have diabetes [2]. In patients with diabetes, lifetime risk of ulceration is estimated to be 14% [3]. Ulcerations negatively impact mobility, mental health, and quality of life, and have high recurrence rates. Nearly two-thirds of patients have a recurrence within 5 years of ulcer healing [4].

Alyson J Littman, Andrew K Timmons, Anna Korpak, Kwun C G Chan, Kenneth T Jones, Suzanne Shirley, Kyle Nordrum, Jeffrey Robbins, Suhail Masadeh, Ernest Moy

JMIR Diabetes 2024;9:e53083

Addressing Information Biases Within Electronic Health Record Data to Improve the Examination of Epidemiologic Associations With Diabetes Prevalence Among Young Adults: Cross-Sectional Study

Addressing Information Biases Within Electronic Health Record Data to Improve the Examination of Epidemiologic Associations With Diabetes Prevalence Among Young Adults: Cross-Sectional Study

Second, “sufficiency” models were estimated among the subset of patients who we hypothesized to have sufficient data, defined as those with at least 1 encounter with an endocrinology review of systems or those who were classified as diabetic through the above definition (n=181,036). Since diabetes is a rare disease within the young adult population, we assumed that the specificity of the classification was near-perfect and all patients who were classified as diabetic had sufficient data [28].

Sarah Conderino, Rebecca Anthopolos, Sandra S Albrecht, Shannon M Farley, Jasmin Divers, Andrea R Titus, Lorna E Thorpe

JMIR Med Inform 2024;12:e58085