Relationship between abdominal fat area and first-phase insulin secretion function of pancreatic β-cells in patients with type 2 diabetes
Objective·To explore the relationship between abdominal fat area and the first-phase insulin secretion function of pancreatic β-cells in patients with type 2 diabetes, and to establish predictive models of nomogram.Methods·From October 2020 to February 2024, a total of 120 patients with type 2 diabe...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Shanghai Jiao Tong University (Medical Science)
2025-01-01
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| Series: | Shanghai Jiaotong Daxue xuebao. Yixue ban |
| Subjects: | |
| Online Access: | https://xuebao.shsmu.edu.cn/article/2025/1674-8115/1674-8115-2025-45-1-42.shtml |
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| Summary: | Objective·To explore the relationship between abdominal fat area and the first-phase insulin secretion function of pancreatic β-cells in patients with type 2 diabetes, and to establish predictive models of nomogram.Methods·From October 2020 to February 2024, a total of 120 patients with type 2 diabetes, who were hospitalized in the Department of Endocrinology, Zhongshan Hospital, Fudan University, and underwent the arginine stimulation test, were recruited for the study. Patients were categorized into an insulin secretion function-preserved group (i.e. preserved group) and a depleted group according to the results of the arginine stimulation test. General information and laboratory parameters were collected. Subcutaneous fat area (SFA) and visceral fat area (VFA) were non-invasively measured by abdominal fat detector. The variables were screened by univariate analysis, and multivariate Logistic regression was used to identify the influencing factors, followed by the establishment of predictive models of nomogram. The area under the receiver operating characteristic curve (ROC curve) and concordance index (C-index) were used to evaluate the predictive performance of the models.Results·Seventy-four patients (61.7%) were assigned to the preserved group, and 46 patients (38.3%) to the depleted group. Patients in the depleted group had a longer diabetes duration, lower waist circumference, hip circumference, body mass index (BMI), uric acid, free triiodothyronine (FT3), adipose tissue insulin resistance (Adipo-IR), ankle brachial index (ABI), SFA and VFA, and higher brachial ankle pulse wave velocity (baPWV). Multivariate Logistic regression showed that SFA, VFA, FT3, baPWV, and ABI were independent risk factors for the depleted insulin secretion function. Nomogram models were constructed based on the above risk factors. Among them, the model comprising VFA, FT3, ABI, and baPWV showed the best predictive performance with a C-index of 0.81.Conclusion·SFA and VFA are lower in patients with depleted first-phase insulin secretion function of pancreatic β-cells. The nomogram model, including SFA or VFA, can be used to predict first-phase insulin secretion function of pancreatic β-cells in patients with type 2 diabetes. |
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| ISSN: | 1674-8115 |