1.A prediction model for diabetic peripheral neuropathy among patients with type 2 diabetes mellitus
LIU Mingkun ; ZHANG Fengxiang ; HAN Caijing ; WANG Xia ; CHEN Shikun ; JIN Mei ; SUN Jinyue
Journal of Preventive Medicine 2025;37(7):692-696
Objective:
To establish a risk prediction model for diabetic peripheral neuropathy (DPN) among patients with type 2 diabetes mellitus (T2DM), so as to provide a basis for DPN prevention and control.
Methods:
T2DM inpatients aged 18-65 years admitted to the department of endocrinology and metabolism at Affiliated Hospital Shandong Second Medical University from April to December 2024 were selected as study subjects. Age, T2DM duration, hypertension history, 25-hydroxyvitamin D, serum C-peptide, and high density lipoprotein cholesterol (HDL-C) were collected through electronic medical records. Risk predictors of DPN among T2DM patients were screened using multivariable logistic regression model, and a nomogram was established. The receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis were employed to evaluate the discrimination, calibration and clinical utility of the nomogram, respectively.
Results:
A total of 598 T2DM patients were enrolled, including 359 (60.03%) males and 239 (39.97%) females. The median age was 54.50 (interquartile range, 15.00) years, the median T2DM duration was 6.00 (interquartile range, 9.00) years. There were 262 cases of T2DM patients with DPN, accounting for 43.81%. Multivariable logistic regression identified hypertension history (OR=3.260, 95%CI: 2.220-4.790), alcohol use history (OR=2.150, 95%CI: 1.390-3.310), diabetes complications (OR=0.430, 95%CI: 0.270-0.680), T2DM duration (OR=1.040, 95%CI: 1.010-1.070), body mass index (OR=1.130, 95%CI: 1.070-1.200), 25-hydroxyvitamin D (OR=0.930, 95%CI: 0.910-0.960), and HDL-C (OR=0.400, 95%CI: 0.230-0.720) as risk predictors for DPN among T2DM patients. The area under the ROC curve of the established risk prediction model was 0.774 (95%CI: 0.737-0.812), with a sensitivity of 0.710 and a specificity of 0.723. The calibration curve after repeated sampling calibration approached the standard curve. Decision curve analysis showed that when the risk threshold probability was 0.2 to 0.4, the model demonstrates favorable clinical applicability.
Conclusion
The risk prediction model established in this study has favorable discrimination, calibration, and clinical utility, can effectively predict the risk of DPN among T2DM patients aged 18-65 years.
2. Study on bone metabolism in postmenopausal women with idiopathic benign paroxysmal positional vertigo
Chengyao GU ; Weiwei HAN ; Yunqin WU ; Zhenyi FAN ; Caijing CHEN ; Huimin CHEN
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2018;53(2):134-137
Objective:
To analyze the bone mineral density and serum osteocalcin levels in postmenopausal women with idiopathic benign paroxysmal positional vertigo.
Methods:
A total of 64 postmenopausal women with idiopathic BPPV were selected as the study group, and 98 postmenopausal healthy women were selected as the control group. Bone mineral density and serum osteocalcin levels were analyzed and compared between the groups.χ2 test was used for numeration data and


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