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Strategies to reduce severe diabetic foot infections and complications during epidemics (STRIDE).
Schmidt, Brian M; Munson, Michael E; Rothenberg, Gary M; Holmes, Crystal M; Pop-Busui, Rodica.
  • Schmidt BM; Michigan Medicine, Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, Domino's Farms (Lobby C, Suite 1300) 24 Frank Lloyd Wright Drive, Ann Arbor, MI 48106, United States of America. Electronic address: Bmcs@med.umich.edu.
  • Munson ME; Michigan Medicine, Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, Domino's Farms (Lobby C, Suite 1300) 24 Frank Lloyd Wright Drive, Ann Arbor, MI 48106, United States of America.
  • Rothenberg GM; Michigan Medicine, Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, Domino's Farms (Lobby C, Suite 1300) 24 Frank Lloyd Wright Drive, Ann Arbor, MI 48106, United States of America.
  • Holmes CM; Michigan Medicine, Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, Domino's Farms (Lobby C, Suite 1300) 24 Frank Lloyd Wright Drive, Ann Arbor, MI 48106, United States of America.
  • Pop-Busui R; Michigan Medicine, Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, Domino's Farms (Lobby C, Suite 1300) 24 Frank Lloyd Wright Drive, Ann Arbor, MI 48106, United States of America.
J Diabetes Complications ; 34(11): 107691, 2020 11.
Article in English | MEDLINE | ID: covidwho-676689
ABSTRACT

AIMS:

Patients with diabetes, including those with foot complications, are at highest risk for severe outcomes during the COVID-19 pandemic. Diabetic foot ulcers (DFU) present additional challenges given their superimposed risk for severe infections and amputations. The main objectives were to develop a triage algorithm to effectively risk-stratify all DFUs for potential complications, complying with social distancing regulations, preserving personal protective equipment, and to assess feasibility of virtual care for DFU.

METHODS:

Longitudinal study during the COVID-19 pandemic performed at a large tertiary institution evaluating the effectiveness of a targeted triage protocol developed using a combined approach of virtual care, electronic medical record data mining, and tracing for rapid risk stratification to derive optimal care delivery methods. 2868 patients with diabetes at risk for foot complications within last 12 months were included and rates of encounters, hospitalizations, and minor amputations were compared to one year prior.

RESULTS:

The STRIDE protocol was implemented in 1-week and eventually included 2600 patients (90.7%) demonstrating effective triage. During normal operations, 40% (938 of 2345) of all visits were due to DFUs and none were performed virtually. After implementation, 98% face-to-face visits were due to DFU, and virtual visits increased by 21,900%. This risk stratified approach led to similar low rates of DFU-related-hospitalization and minor amputation rates 20% versus 24% (p > 0.05) during and prior the pandemic, respectively.

CONCLUSIONS:

Implementation of STRIDE protocol was effective to risk-stratify and triage all patients with diabetic foot complications preventing increase in hospitalization and amputations while promoting both social and physical distancing.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Podiatry / Algorithms / Infection Control / Diabetic Foot / Coronavirus Infections / Betacoronavirus Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Qualitative research / Reviews Limits: Humans Language: English Journal: J Diabetes Complications Journal subject: Endocrinology Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Podiatry / Algorithms / Infection Control / Diabetic Foot / Coronavirus Infections / Betacoronavirus Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Qualitative research / Reviews Limits: Humans Language: English Journal: J Diabetes Complications Journal subject: Endocrinology Year: 2020 Document Type: Article