Risk factor analysis and prediction model development for the occurrence of sarcopenia in middle-aged and elderly men with newly diagnosed type 2 diabetes mellitus
To develop a prediction model to forecast the onset of sarcopenia in middle-aged and elderly men with type 2 diabetes mellitus (T2DM), this study examined the risk factors contributing to sarcopenia in these individuals. Clinical data of 525 middle-aged and elderly men newly diagnosed with T2DM w...
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| Format: | Article |
| Language: | English |
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MRE Press
2024-11-01
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| Series: | Journal of Men's Health |
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| Online Access: | https://oss.jomh.org/files/article/20230928-100/pdf/JOMH2024061201.pdf |
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| author | Jing Cai Jingmin Qiao Yiran Liu Hongyan Li Caiping Lu Ying Gao |
| author_facet | Jing Cai Jingmin Qiao Yiran Liu Hongyan Li Caiping Lu Ying Gao |
| author_sort | Jing Cai |
| collection | DOAJ |
| description | To develop a prediction model to forecast the onset of sarcopenia in middle-aged
and elderly men with type 2 diabetes mellitus (T2DM), this study examined the
risk factors contributing to sarcopenia in these individuals. Clinical data of
525 middle-aged and elderly men newly diagnosed with T2DM were retrospectively
analyzed. After rigorous data filtering and preprocessing, eligible patients (n =
525) were randomized into the training cohort (n = 394) and validation cohort (n
= 131) in a ratio of 3:1. Using sarcopenia in the
training cohort as the outcome variable, multivariate logistic regression
analysis was performed to identify independentpredictors. The nomogram prediction
model was further constructed on theses basis. The constructed prediction model
was externally validated using the validation cohort. The 525 newly diagnosed
middle-aged and elderly men with T2DM included 451 patients without sarcopenia
and 74 patients with sarcopenia, and the incidence of sarcopenia was 14.10%. In
the training cohort, the occurrence of sarcopenia in male patients with T2DM was
independently associated with age (60–74 years), age (≥75 years), body
mass index (BMI) <24 kg/cm2, albumin <40 g/L, glycosylated hemoglobin
A1c (HbA1c) (>7%), Albuminuria, non-alcoholic fatty liver disease (NAFLD) and
Insulin use (p < 0.05). After adjusting for age and BMI, albumin <40
g/L, HbA1c (>7%), Albuminuria, and NAFLD remained independent predictors of
sarcopenia in men with T2DM (p < 0.05). The screened variables were
included in the nomogram prediction model. The area under the curve of the
training cohort and validation cohort prediction models were 0.912 and 0.897,
respectively. The Hosmer-Lemeshow test showed a good fit in the training and
validation cohorts (p > 0.05). In middle-aged and older men with T2DM,
we successfully developed, and validated a high-precision nomogram model that may
improve early identification and screening of individuals at high risk for
sarcopenia. |
| format | Article |
| id | doaj-art-4eb6bedbda3e4f0cb4ae69b473a850fc |
| institution | OA Journals |
| issn | 1875-6867 1875-6859 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MRE Press |
| record_format | Article |
| series | Journal of Men's Health |
| spelling | doaj-art-4eb6bedbda3e4f0cb4ae69b473a850fc2025-08-20T01:58:45ZengMRE PressJournal of Men's Health1875-68671875-68592024-11-012011576610.22514/jomh.2024.185S1875-6867(24)00293-8Risk factor analysis and prediction model development for the occurrence of sarcopenia in middle-aged and elderly men with newly diagnosed type 2 diabetes mellitusJing Cai0Jingmin Qiao1Yiran Liu2Hongyan Li3Caiping Lu4Ying Gao5Department of Endocrinology, The People’s Hospital of Shijiazhuang, 050011 Shijiazhuang, Hebei, ChinaDepartment of Endocrinology, The People’s Hospital of Shijiazhuang, 050011 Shijiazhuang, Hebei, ChinaDepartment of Endocrinology, The People’s Hospital of Shijiazhuang, 050011 Shijiazhuang, Hebei, ChinaDepartment of Endocrinology, The People’s Hospital of Shijiazhuang, 050011 Shijiazhuang, Hebei, ChinaDepartment of Endocrinology, The People’s Hospital of Shijiazhuang, 050011 Shijiazhuang, Hebei, ChinaDepartment of Endocrinology, The People’s Hospital of Shijiazhuang, 050011 Shijiazhuang, Hebei, ChinaTo develop a prediction model to forecast the onset of sarcopenia in middle-aged and elderly men with type 2 diabetes mellitus (T2DM), this study examined the risk factors contributing to sarcopenia in these individuals. Clinical data of 525 middle-aged and elderly men newly diagnosed with T2DM were retrospectively analyzed. After rigorous data filtering and preprocessing, eligible patients (n = 525) were randomized into the training cohort (n = 394) and validation cohort (n = 131) in a ratio of 3:1. Using sarcopenia in the training cohort as the outcome variable, multivariate logistic regression analysis was performed to identify independentpredictors. The nomogram prediction model was further constructed on theses basis. The constructed prediction model was externally validated using the validation cohort. The 525 newly diagnosed middle-aged and elderly men with T2DM included 451 patients without sarcopenia and 74 patients with sarcopenia, and the incidence of sarcopenia was 14.10%. In the training cohort, the occurrence of sarcopenia in male patients with T2DM was independently associated with age (60–74 years), age (≥75 years), body mass index (BMI) <24 kg/cm2, albumin <40 g/L, glycosylated hemoglobin A1c (HbA1c) (>7%), Albuminuria, non-alcoholic fatty liver disease (NAFLD) and Insulin use (p < 0.05). After adjusting for age and BMI, albumin <40 g/L, HbA1c (>7%), Albuminuria, and NAFLD remained independent predictors of sarcopenia in men with T2DM (p < 0.05). The screened variables were included in the nomogram prediction model. The area under the curve of the training cohort and validation cohort prediction models were 0.912 and 0.897, respectively. The Hosmer-Lemeshow test showed a good fit in the training and validation cohorts (p > 0.05). In middle-aged and older men with T2DM, we successfully developed, and validated a high-precision nomogram model that may improve early identification and screening of individuals at high risk for sarcopenia.https://oss.jomh.org/files/article/20230928-100/pdf/JOMH2024061201.pdfnewly diagnosed type 2 diabetesmalesarcopeniaage |
| spellingShingle | Jing Cai Jingmin Qiao Yiran Liu Hongyan Li Caiping Lu Ying Gao Risk factor analysis and prediction model development for the occurrence of sarcopenia in middle-aged and elderly men with newly diagnosed type 2 diabetes mellitus Journal of Men's Health newly diagnosed type 2 diabetes male sarcopenia age |
| title | Risk factor analysis and prediction model development for the occurrence
of sarcopenia in middle-aged and elderly men with newly diagnosed type 2 diabetes
mellitus |
| title_full | Risk factor analysis and prediction model development for the occurrence
of sarcopenia in middle-aged and elderly men with newly diagnosed type 2 diabetes
mellitus |
| title_fullStr | Risk factor analysis and prediction model development for the occurrence
of sarcopenia in middle-aged and elderly men with newly diagnosed type 2 diabetes
mellitus |
| title_full_unstemmed | Risk factor analysis and prediction model development for the occurrence
of sarcopenia in middle-aged and elderly men with newly diagnosed type 2 diabetes
mellitus |
| title_short | Risk factor analysis and prediction model development for the occurrence
of sarcopenia in middle-aged and elderly men with newly diagnosed type 2 diabetes
mellitus |
| title_sort | risk factor analysis and prediction model development for the occurrence of sarcopenia in middle aged and elderly men with newly diagnosed type 2 diabetes mellitus |
| topic | newly diagnosed type 2 diabetes male sarcopenia age |
| url | https://oss.jomh.org/files/article/20230928-100/pdf/JOMH2024061201.pdf |
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