Risk factors for ketoacidosis in children/adolescents with type 1 diabetes mellitus and establishment of a predictive model.
10.7499/j.issn.1008-8830.2308042
- Author:
Xiao-Jia WANG
1
;
Ai-Hong GONG
1
;
Sheng-Hong QI
;
Lan LIU
Author Information
1. School of Public Health,Ningxia Medical University, Yinchuan 750004, China (Liu L, Email: liulan-162@163. com).
- Publication Type:Journal Article
- Keywords:
Adolescent;
Child;
Ketoacidosis;
Nomogram;
Risk factor;
Type 1 diabetes mellitus
- MeSH:
Child;
Adolescent;
Humans;
Diabetes Mellitus, Type 1/complications*;
Blood Glucose;
Glycated Hemoglobin;
Retrospective Studies;
Ketosis;
Risk Factors;
Ketone Bodies;
Triglycerides
- From:
Chinese Journal of Contemporary Pediatrics
2024;26(1):62-66
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVES:To investigate the risk factors for diabetic ketoacidosis (DKA) in children/adolescents with type 1 diabetes mellitus (T1DM) and to establish a model for predicting the risk of DKA.
METHODS:A retrospective analysis was performed on 217 children/adolescents with T1DM who were admitted to General Hospital of Ningxia Medical University from January 2018 to December 2021. Among the 217 children/adolescents,169 cases with DKA were included as the DKA group and 48 cases without DKA were included as the non-DKA group. The risk factors for DKA in the children/adolescents with T1DM were analyzed, and a nomogram model was established for predicting the risk of DKA in children/adolescents with T1DM.
RESULTS:For the 217 children/adolescents with T1DM, the incidence rate of DKA was 77.9% (169/217). The multivariate logistic regression analysis showed that high levels of random blood glucose, hemoglobin A1c (HbA1c), blood ketone body, and triglyceride on admission were closely associated with the development of DKA in the children/adolescents with T1DM (OR=1.156, 3.2031015, 20.131, and 9.519 respectively; P<0.05). The nomogram prediction model had a C-statistic of 0.95, with a mean absolute error of 0.004 between the risk of DKA predicted by the nomogram model and the actual risk of DKA, indicating that the model had a good overall prediction ability.
CONCLUSIONS:High levels of random blood glucose, HbA1c, blood ketone body, and triglyceride on admission are closely associated with the development of DKA in children/adolescents with T1DM, and targeted intervention measures should be developed to reduce the risk of DKA.
