Cargando…
Can Sociodemographic Factors be Used to Help Predict Outcomes in Charcot Neuroarthropathy?
CATEGORY: Diabetes; Other INTRODUCTION/PURPOSE: The diabetic Charcot foot, or Charcot neuroarthropathy, is a devastating condition that arises secondary to longstanding diabetes, peripheral neuropathy, and trauma. One of the many challenges associated with the Charcot patient is the lack of data exp...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9673586/ http://dx.doi.org/10.1177/2473011421S00778 |
_version_ | 1784832974324236288 |
---|---|
author | Martinazzi, Brandon J. Mansfield, Kirsten N. Dopke, Kelly Ptasinski, Anna Stauch, Chris M. Koroneos, Zachary Nam, Hannah Kirchner, Gregory Aynardi, Michael C. |
author_facet | Martinazzi, Brandon J. Mansfield, Kirsten N. Dopke, Kelly Ptasinski, Anna Stauch, Chris M. Koroneos, Zachary Nam, Hannah Kirchner, Gregory Aynardi, Michael C. |
author_sort | Martinazzi, Brandon J. |
collection | PubMed |
description | CATEGORY: Diabetes; Other INTRODUCTION/PURPOSE: The diabetic Charcot foot, or Charcot neuroarthropathy, is a devastating condition that arises secondary to longstanding diabetes, peripheral neuropathy, and trauma. One of the many challenges associated with the Charcot patient is the lack of data exploring factors that may predict long-term outcomes. Therefore, the purpose of this study was to evaluate how certain sociodemographic factors may influence mortality and the need to undergo lower extremity amputation in patients with Charcot. METHODS: Following institutional board approval, all patients from 2015-2021 with a diagnosis of Charcot Foot were queried using hospital electronic medical records. Demographics collected included sex, age, race, and insurance coverage. Outcomes recorded were the need to undergo major amputation and mortality rate. Statistical analysis was then run to determine if sex, age, race, and insurance coverage was associated with increased risk of needing a major amputation or death. RESULTS: From 2015-2021, 80 Charcot patients with a mean age of 60 (Range, 84-32) were identified. Of these patients, 58 were male, 26 were female, 71 were white, 3 were African American, and 6 were identified as other. In our cohort, 47 patients had government funded insurance and 33 had private insurance. Amputation occurred in 22 patients and death in 15. Government funded insurance (RR: 9.8, 95% CI:1.4-71.1, P = 0.0236) and age over 65 was associated with an increased risk of death (RR: 2.5, 95% CI: 1.02 to 6.17; P = 0.044). No statistically significant increased risk of death or amputation was found in white, African American, male, or female patients. Government insurance was also not associated with an increased risk for amputation (Table 1). CONCLUSION: Charcot Neuroarthropathy is associated with high rates of morbidity and mortality. In our cohort, there was an increased risk of mortality in patients with government funded insurance and patients over the age of 65. Further investigation exploring the role of sociodemographic factors is warranted. |
format | Online Article Text |
id | pubmed-9673586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-96735862022-11-19 Can Sociodemographic Factors be Used to Help Predict Outcomes in Charcot Neuroarthropathy? Martinazzi, Brandon J. Mansfield, Kirsten N. Dopke, Kelly Ptasinski, Anna Stauch, Chris M. Koroneos, Zachary Nam, Hannah Kirchner, Gregory Aynardi, Michael C. Foot Ankle Orthop Article CATEGORY: Diabetes; Other INTRODUCTION/PURPOSE: The diabetic Charcot foot, or Charcot neuroarthropathy, is a devastating condition that arises secondary to longstanding diabetes, peripheral neuropathy, and trauma. One of the many challenges associated with the Charcot patient is the lack of data exploring factors that may predict long-term outcomes. Therefore, the purpose of this study was to evaluate how certain sociodemographic factors may influence mortality and the need to undergo lower extremity amputation in patients with Charcot. METHODS: Following institutional board approval, all patients from 2015-2021 with a diagnosis of Charcot Foot were queried using hospital electronic medical records. Demographics collected included sex, age, race, and insurance coverage. Outcomes recorded were the need to undergo major amputation and mortality rate. Statistical analysis was then run to determine if sex, age, race, and insurance coverage was associated with increased risk of needing a major amputation or death. RESULTS: From 2015-2021, 80 Charcot patients with a mean age of 60 (Range, 84-32) were identified. Of these patients, 58 were male, 26 were female, 71 were white, 3 were African American, and 6 were identified as other. In our cohort, 47 patients had government funded insurance and 33 had private insurance. Amputation occurred in 22 patients and death in 15. Government funded insurance (RR: 9.8, 95% CI:1.4-71.1, P = 0.0236) and age over 65 was associated with an increased risk of death (RR: 2.5, 95% CI: 1.02 to 6.17; P = 0.044). No statistically significant increased risk of death or amputation was found in white, African American, male, or female patients. Government insurance was also not associated with an increased risk for amputation (Table 1). CONCLUSION: Charcot Neuroarthropathy is associated with high rates of morbidity and mortality. In our cohort, there was an increased risk of mortality in patients with government funded insurance and patients over the age of 65. Further investigation exploring the role of sociodemographic factors is warranted. SAGE Publications 2022-11-15 /pmc/articles/PMC9673586/ http://dx.doi.org/10.1177/2473011421S00778 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Article Martinazzi, Brandon J. Mansfield, Kirsten N. Dopke, Kelly Ptasinski, Anna Stauch, Chris M. Koroneos, Zachary Nam, Hannah Kirchner, Gregory Aynardi, Michael C. Can Sociodemographic Factors be Used to Help Predict Outcomes in Charcot Neuroarthropathy? |
title | Can Sociodemographic Factors be Used to Help Predict Outcomes in Charcot Neuroarthropathy? |
title_full | Can Sociodemographic Factors be Used to Help Predict Outcomes in Charcot Neuroarthropathy? |
title_fullStr | Can Sociodemographic Factors be Used to Help Predict Outcomes in Charcot Neuroarthropathy? |
title_full_unstemmed | Can Sociodemographic Factors be Used to Help Predict Outcomes in Charcot Neuroarthropathy? |
title_short | Can Sociodemographic Factors be Used to Help Predict Outcomes in Charcot Neuroarthropathy? |
title_sort | can sociodemographic factors be used to help predict outcomes in charcot neuroarthropathy? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9673586/ http://dx.doi.org/10.1177/2473011421S00778 |
work_keys_str_mv | AT martinazzibrandonj cansociodemographicfactorsbeusedtohelppredictoutcomesincharcotneuroarthropathy AT mansfieldkirstenn cansociodemographicfactorsbeusedtohelppredictoutcomesincharcotneuroarthropathy AT dopkekelly cansociodemographicfactorsbeusedtohelppredictoutcomesincharcotneuroarthropathy AT ptasinskianna cansociodemographicfactorsbeusedtohelppredictoutcomesincharcotneuroarthropathy AT stauchchrism cansociodemographicfactorsbeusedtohelppredictoutcomesincharcotneuroarthropathy AT koroneoszachary cansociodemographicfactorsbeusedtohelppredictoutcomesincharcotneuroarthropathy AT namhannah cansociodemographicfactorsbeusedtohelppredictoutcomesincharcotneuroarthropathy AT kirchnergregory cansociodemographicfactorsbeusedtohelppredictoutcomesincharcotneuroarthropathy AT aynardimichaelc cansociodemographicfactorsbeusedtohelppredictoutcomesincharcotneuroarthropathy |