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Proximal humerus fractures – epidemiology, comparison of mortality rates after surgical versus non-surgical treatment, and analysis of risk factors based on Medicare registry data
AIMS: The optimal choice of management for proximal humerus fractures (PHFs) has been increasingly discussed in the literature, and this work aimed to answer the following questions: 1) what are the incidence rates of PHF in the geriatric population in the USA; 2) what is the mortality rate after PH...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The British Editorial Society of Bone & Joint Surgery
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950668/ https://www.ncbi.nlm.nih.gov/pubmed/36718643 http://dx.doi.org/10.1302/2046-3758.122.BJR-2022-0275.R1 |
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author | Walter, Nike Szymski, Dominik Kurtz, Steven M. Lowenberg, David W. Alt, Volker Lau, Edmund Rupp, Markus |
author_facet | Walter, Nike Szymski, Dominik Kurtz, Steven M. Lowenberg, David W. Alt, Volker Lau, Edmund Rupp, Markus |
author_sort | Walter, Nike |
collection | PubMed |
description | AIMS: The optimal choice of management for proximal humerus fractures (PHFs) has been increasingly discussed in the literature, and this work aimed to answer the following questions: 1) what are the incidence rates of PHF in the geriatric population in the USA; 2) what is the mortality rate after PHF in the elderly population, specifically for distinct treatment procedures; and 3) what factors influence the mortality rate? METHODS: PHFs occurring between 1 January 2009 and 31 December 2019 were identified from the Medicare physician service records. Incidence rates were determined, mortality rates were calculated, and semiparametric Cox regression was applied, incorporating 23 demographic, clinical, and socioeconomic covariates, to compare the mortality risk between treatments. RESULTS: From 2009 to 2019, the incidence decreased by 11.85% from 300.4 cases/100,000 enrollees to 266.3 cases/100,000 enrollees, although this was not statistically significant (z = -1.47, p = 0.142). In comparison to matched Medicare patients without a PHF, but of the same five-year age group and sex, a mean survival difference of -17.3% was observed. The one-year mortality rate was higher after nonoperative treatment with 16.4% compared to surgical treatment with 9.3% (hazard ratio (HR) = 1.29, 95% confidence interval (CI) 1.23 to 1.36; p < 0.001) and to shoulder arthroplasty with 7.4% (HR = 1.45, 95% CI 1.33 to 1.58; p < 0.001). Statistically significant mortality risk factors after operative treatment included age older than 75 years, male sex, chronic obstructive pulmonary disease (COPD), cerebrovascular disease, chronic kidney disease, a concomitant fracture, congestive heart failure, and osteoporotic fracture. CONCLUSION: Mortality risk factors for distinct treatment modes after PHF in elderly patients could be identified, which may guide clinical decision-making. Cite this article: Bone Joint Res 2023;12(2):103–112. |
format | Online Article Text |
id | pubmed-9950668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The British Editorial Society of Bone & Joint Surgery |
record_format | MEDLINE/PubMed |
spelling | pubmed-99506682023-02-25 Proximal humerus fractures – epidemiology, comparison of mortality rates after surgical versus non-surgical treatment, and analysis of risk factors based on Medicare registry data Walter, Nike Szymski, Dominik Kurtz, Steven M. Lowenberg, David W. Alt, Volker Lau, Edmund Rupp, Markus Bone Joint Res Upper Limb AIMS: The optimal choice of management for proximal humerus fractures (PHFs) has been increasingly discussed in the literature, and this work aimed to answer the following questions: 1) what are the incidence rates of PHF in the geriatric population in the USA; 2) what is the mortality rate after PHF in the elderly population, specifically for distinct treatment procedures; and 3) what factors influence the mortality rate? METHODS: PHFs occurring between 1 January 2009 and 31 December 2019 were identified from the Medicare physician service records. Incidence rates were determined, mortality rates were calculated, and semiparametric Cox regression was applied, incorporating 23 demographic, clinical, and socioeconomic covariates, to compare the mortality risk between treatments. RESULTS: From 2009 to 2019, the incidence decreased by 11.85% from 300.4 cases/100,000 enrollees to 266.3 cases/100,000 enrollees, although this was not statistically significant (z = -1.47, p = 0.142). In comparison to matched Medicare patients without a PHF, but of the same five-year age group and sex, a mean survival difference of -17.3% was observed. The one-year mortality rate was higher after nonoperative treatment with 16.4% compared to surgical treatment with 9.3% (hazard ratio (HR) = 1.29, 95% confidence interval (CI) 1.23 to 1.36; p < 0.001) and to shoulder arthroplasty with 7.4% (HR = 1.45, 95% CI 1.33 to 1.58; p < 0.001). Statistically significant mortality risk factors after operative treatment included age older than 75 years, male sex, chronic obstructive pulmonary disease (COPD), cerebrovascular disease, chronic kidney disease, a concomitant fracture, congestive heart failure, and osteoporotic fracture. CONCLUSION: Mortality risk factors for distinct treatment modes after PHF in elderly patients could be identified, which may guide clinical decision-making. Cite this article: Bone Joint Res 2023;12(2):103–112. The British Editorial Society of Bone & Joint Surgery 2023-02-02 /pmc/articles/PMC9950668/ /pubmed/36718643 http://dx.doi.org/10.1302/2046-3758.122.BJR-2022-0275.R1 Text en © 2023 Author(s) et al. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (CC BY-NC-ND 4.0) licence, which permits the copying and redistribution of the work only, and provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Upper Limb Walter, Nike Szymski, Dominik Kurtz, Steven M. Lowenberg, David W. Alt, Volker Lau, Edmund Rupp, Markus Proximal humerus fractures – epidemiology, comparison of mortality rates after surgical versus non-surgical treatment, and analysis of risk factors based on Medicare registry data |
title | Proximal humerus fractures – epidemiology, comparison of mortality rates after surgical versus non-surgical treatment, and analysis of risk factors based on Medicare registry data |
title_full | Proximal humerus fractures – epidemiology, comparison of mortality rates after surgical versus non-surgical treatment, and analysis of risk factors based on Medicare registry data |
title_fullStr | Proximal humerus fractures – epidemiology, comparison of mortality rates after surgical versus non-surgical treatment, and analysis of risk factors based on Medicare registry data |
title_full_unstemmed | Proximal humerus fractures – epidemiology, comparison of mortality rates after surgical versus non-surgical treatment, and analysis of risk factors based on Medicare registry data |
title_short | Proximal humerus fractures – epidemiology, comparison of mortality rates after surgical versus non-surgical treatment, and analysis of risk factors based on Medicare registry data |
title_sort | proximal humerus fractures – epidemiology, comparison of mortality rates after surgical versus non-surgical treatment, and analysis of risk factors based on medicare registry data |
topic | Upper Limb |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950668/ https://www.ncbi.nlm.nih.gov/pubmed/36718643 http://dx.doi.org/10.1302/2046-3758.122.BJR-2022-0275.R1 |
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