4.3 Article

Identification of Risk Factors and Development of a Predictive Model for Postoperative Hypoglycemia among Diabetic Patients during the Perioperative Period

Journal

INTERNATIONAL JOURNAL OF ENDOCRINOLOGY
Volume 2023, Issue -, Pages -

Publisher

HINDAWI LTD
DOI: 10.1155/2023/8033101

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This study aimed to investigate the incidence and influencing factors of postoperative hypoglycemia in diabetic patients during the perioperative period and construct a risk prediction model. Patients with type 2 diabetes admitted to Nanjing Drum Tower Hospital from December 2019 to January 2022 were included. A total of 440 patients were included, and the incidence of postoperative hypoglycemia was 24.78%. Preoperative C-peptide and operation duration were identified as risk factors, while BMI and preoperative fasting blood glucose were protective factors.
Objective. To explore the incidence and influencing factors of postoperative hypoglycemia in diabetic patients during the perioperative period and to construct a risk prediction model for postoperative hypoglycemia. Methods. Patients with T2DM admitted to the nonendocrinology department of Nanjing Drum Tower Hospital from December 2019 to January 2022 were included as research subjects. Basic information, hospital blood glucose management methods, laboratory indicators, and surgery-related indicators were collected. A risk prediction model and scoring table for postoperative hypoglycemia in patients with perioperative diabetes mellitus were established. Results. A total of 440 patients were included, of which 109 had hypoglycemia, resulting in an incidence of postoperative hypoglycemia of 24.78%. The results show that preoperative C-peptide and operation duration were risk factors for postoperative hypoglycemia, while BMI and preoperative fasting blood glucose were protective factors. Conclusion. The model constructed in this study is a good method for evaluating the risk of postoperative hypoglycemia. The scoring table intuitively quantifies the risk of risk factors for outcome variables and has strong clinical practicability.

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