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1.
Int Wound J ; 18(5): 657-663, 2021 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-33938106

RESUMO

The aim of this study was to evaluate the impact of discharge destination on diabetes-related limb salvage surgery outcomes post-hospitalisation. This was a single-centre, observational, descriptive study of 175 subjects with diabetes who underwent limb salvage surgery of a minor foot amputation or wide incision and debridement for an acutely infected diabetic foot ulcer (DFU). Comparisons were made between subjects discharged home vs a skilled nursing facility (SNF) for 12 months postoperatively. Univariate, multivariate, and time-to-event analyses were performed. The SNF discharge group (n = 40) had worse outcomes with longer healing time (P = .022), more rehospitalisations requiring a podiatry consult (P = .009), increase of subsequent ipsilateral major lower-extremity amputation (P = .028), and a higher mortality rate (P = .012) within the 12-month postoperative period. There was no significant difference between the cohorts in surgically cleared osteomyelitis (P = .8434). The Charlson Comorbidity Index values for those discharged home and those in a short-term nursing facility were similar (P = .3819; home x ¯ =5.33 ± 2.84 vs SNF x ¯ =5.75 ± 2.06). The planned discharge destination after limb salvage surgery among people with an acutely infected DFU should be an added risk factor for healing outcomes. Patients discharged to SNFs experience additional morbidity and mortality compared with patients discharged home post-hospitalisation.


Assuntos
Diabetes Mellitus , Pé Diabético , Amputação Cirúrgica , Pé Diabético/cirurgia , Humanos , Salvamento de Membro , Alta do Paciente , Período Pós-Operatório , Estudos Retrospectivos
2.
J Diabetes Complications ; 34(11): 107691, 2020 11.
Artigo em Inglês | MEDLINE | ID: mdl-32883566

RESUMO

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.


Assuntos
Algoritmos , Betacoronavirus , Infecções por Coronavirus/epidemiologia , Pé Diabético/prevenção & controle , Controle de Infecções/organização & administração , Pneumonia Viral/epidemiologia , Podiatria , COVID-19 , Protocolos Clínicos , Infecções por Coronavirus/prevenção & controle , Infecções por Coronavirus/transmissão , Humanos , Estudos Longitudinais , Pandemias/prevenção & controle , Pneumonia Viral/prevenção & controle , Pneumonia Viral/transmissão , SARS-CoV-2 , Triagem
3.
J Diabetes Res ; 2014: 214353, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-24868558

RESUMO

INTRODUCTION. Charcot foot is a rare and devastating complication of diabetes. While some risk factors are known, debate continues regarding etiology. Elucidating other associated disorders and their temporal occurrence could lead to a better understanding of its pathogenesis. We applied a large data mining approach to Charcot foot for elucidating novel associations. METHODS. We conducted an association analysis using ICD-9 diagnosis codes for every patient in our health system (n = 1.6 million with 41.2 million time-stamped ICD-9 codes). For the current analysis, we focused on the 388 patients with Charcot foot (ICD-9 713.5). RESULTS. We found 710 associations, 676 (95.2%) of which had a P value for the association less than 1.0 × 10⁻5 and 603 (84.9%) of which had an odds ratio > 5.0. There were 111 (15.6%) associations with a significant temporal relationship (P < 1.0 × 10⁻³). The three novel associations with the strongest temporal component were cardiac dysrhythmia, pulmonary eosinophilia, and volume depletion disorder. CONCLUSION. We identified novel associations with Charcot foot in the context of pathogenesis models that include neurotrophic, neurovascular, and microtraumatic factors mediated through inflammatory cytokines. Future work should focus on confirmatory analyses. These novel areas of investigation could lead to prevention or earlier diagnosis.


Assuntos
Artropatia Neurogênica/etiologia , Pé Diabético/etiologia , Modelos Biológicos , Centros Médicos Acadêmicos , Instituições de Assistência Ambulatorial , Tornozelo , Arritmias Cardíacas/fisiopatologia , Artropatia Neurogênica/diagnóstico , Artropatia Neurogênica/epidemiologia , Estudos de Coortes , Mineração de Dados , Diagnóstico Tardio , Diabetes Mellitus Tipo 2/complicações , Pé Diabético/diagnóstico , Pé Diabético/epidemiologia , Erros de Diagnóstico , Registros Eletrônicos de Saúde , , Humanos , Hipovolemia/fisiopatologia , Classificação Internacional de Doenças , Michigan/epidemiologia , Eosinofilia Pulmonar/fisiopatologia , Fatores de Risco
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