Construction and validation of a line chart for gestational diabetes mellitus based on clinical indicators
Year: 2024
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Gestational diabetes mellitus (GDM) is a common complication of mid-to-late pregnancy. Here, we constructed a predictive model for GDM based on a combination of clinical characteristics and relevant serum markers. METHODS: Data from full-term singleton vaginal deliveries from January 2022 to January 2023 were retrospectively collected from the obstetrics department. The data collected were segregated and assigned to training, validation, and external test sets. Maternal demographic characteristics, living and working habits, and haematological indicators, such as liver function and lipids were collected using a questionnaire designed for the study. The "rms" package in R was used to explore GDM-associated factors through stepwise regression at P < 0.05. A predictive model was developed based on the results of multifactorial logistic regression analysis. We then evaluated the differentiation of the column-line graphical model and performed internal and external validation. To assess the accuracy of the bar graphical model, we plotted calibration and decision curves. RESULTS: = 5.964, 3.249, and 12.182, respectively) were all P > 0.05. The ROC curve AUCs for the three groups were 0.93 (95% CI: 0.89-0.97), 0.72 (95% CI: 0.62-0.81), and 0.68 (95% CI: 0.53-0.83), respectively. CONCLUSION: In this study, a GDM prediction model was constructed to achieve high performance in GDM risk prediction based on routine obstetric tests and information.
Source: Lipids in Health and Disease
Authors: Hui Wang, Qian Li, Haiwei Wang, Wenxia Song
Institution: Changzhi Medical College
Language: English
Subfield: Obstetrics and Gynecology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,890
OpenAlex ID: W4403785656