The influencing factors of secondary osteoporosis in stroke patients with hemiplegia and the construction of a predictive model of nomogram
10.3760/cma.j.cn115807-20231114-00149
- VernacularTitle:脑卒中偏瘫患者继发骨质疏松症的影响因素及列线图预测模型构建
- Author:
Zhiqiang HUI
1
;
Xiangyan KONG
;
Jiali WANG
;
Peng XU
Author Information
1. 临沂市中心医院神经外科，临沂 276400
- Keywords:
Stroke;
Hemiplegia;
Osteoporosis
- From:
Chinese Journal of Endocrine Surgery
2024;18(3):367-371
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the influencing factors of secondary osteoporosis in stroke patients with hemiplegia, and to construct a nomogram prediction model and evaluate it.Methods:The study subjects were 110 patients with hemiplegia after stroke who were treated in our hospital from Jun. 2019 to Jun. 2023, and were divided into osteoporosis group and non-osteoporosis group by bone mineral density detection. Clinical data and laboratory indicators were collected. Single factor analysis and binary Logistic multiple factor regression analysis were used to screen the influencing factors. R software (R3.3.2) and software package rms were used to construct the nomogram prediction model.Results:There were 52 patients with osteoporosis and 58 patients without osteoporosis. In the osteoporosis group, the proportion of female, unilateral anterior circulation multiple infarction and less sunlight was significantly higher than that in the non-osteoporosis group, with statistical significance ( χ2=8.27, 14.77 and 6.96, respectively, P<0.05). Systolic blood pressure (159.32±21.72 vs. 151.67±19.52), total cholesterol (4.29±0.50 vs. 3.57±0.42), LDL-C (2.87±0.33 vs. 2.04±0.31), Hcy (3.81±2.51 vs. The level of 112.33±2.47 was significantly higher than that of the non-osteoporosis group, and the difference was statistically significant ( t was 5.23, 8.38, 7.98 and 5.63, respectively, P<0.001). The level of albumin (38.15±5.21 vs. 33.26±5.73) was significantly lower than that of the non-osteoporosis group. The difference was statistically significant ( t=4.90, P<0.05). Binary Logistic regression analysis showed that female, higher total cholesterol, LDL-C, Hcy levels and less sun exposure were independent risk factors for secondary osteoporosis in stroke patients with hemiplegia ( P<0.05). ROC curve analysis results showed that the area under the curve of the established model to predict secondary osteoporosis in stroke hemiplegia patients was 0.891 (0.833-0.949), and the sensitivity and specificity were 80.8% and 79.3%, respectively. Conclusion:The categorization and consistency of the nomogram model based on the influencing factors of secondary osteoporosis in patients with stroke hemiplegia are good, which can provide a certain reference for the identification and early intervention of high-risk groups with stroke hemiplegia.
