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

Author:

Liu Zixuan1ORCID,Dai Jing2ORCID,He Xiaodie34ORCID,Li Jiaxi1ORCID,Zhang Haixia5ORCID,Ji Cheng5ORCID

Affiliation:

1. China Pharmaceutical University, Nanjing Drum Tower Hospital, Nanjing, China

2. Department of Pharmacy, The Second Affiliated Hospital of Soochow University, Sanxiang Road, No. 1055, Gusu, China

3. Department of Endocrinology, Endocrine and Metabolic Disease Medical Center, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China

4. Branch of National Clinical Research Centre for Metabolic Diseases, Nanjing, China

5. Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China

Abstract

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.

Funder

Nanjing University

Publisher

Hindawi Limited

Subject

Endocrine and Autonomic Systems,Endocrinology,Endocrinology, Diabetes and Metabolism

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