Jiani MA, Xiaoya ZHENG, Yayin SHEN, et al. Influencing factors for inadequate hypoglycemia in insulin tolerance test[J]. Journal of Army Medical University, 2022, 44(22): 2324-2329.
DOI:
Jiani MA, Xiaoya ZHENG, Yayin SHEN, et al. Influencing factors for inadequate hypoglycemia in insulin tolerance test[J]. Journal of Army Medical University, 2022, 44(22): 2324-2329. DOI: 10.16016/j.2097-0927.202203170.
Influencing factors for inadequate hypoglycemia in insulin tolerance test
To investigate the influencing factors of inadequate hypoglycemia after insulin injection at the guideline-recommended dose in the insulin tolerance test (ITT).
Methods
2
A cross-sectional study was conducted on 416 patients with suspected adult growth hormone (GH) deficiency (121 males and 295 females) in the outpatient department and inpatient department of endocrinology in the First Affiliated Hospital of Chongqing Medical University from January 2010 to December 2021. All patients completed the ITT. The clinical data and biochemical information of the patients were collected
according to whether hypoglycemia was sufficient after a single dose of insulin injection (0.1~0.15 U/kg) recommended by the guidelines during ITT. The patients were divided into the adequate group (
n
=321) and the inadequate group (
n
=95). Multivariate logistic regression model was used to analyze the influencing factors of inadequate hypoglycemia. The receiver operating characteristic (ROC) curve was used to analyze the predictive value of relevant indicators for inadequate hypoglycemia and to get the cut-off value.
Results
2
Age
BMI
initial insulin dose
baseline bloo
d glucose
baseline GH
fasting insulin
glycated hemoglobin A1c (HbA1c)
low density lipoprotein cholesterin(LDL-C) and triglyceride(TG) in the sufficient hypoglycemia group were lower than those in the inadequate hypoglycemia group
and high density lipoprotein cholesterin (HDL-C) was higher than that in the hypoglycemia group (
P
<
0.05). Multivariate logistic regression model showed that high BMI
high baseline blood glucose
high LDL-C level and low HDL-C level were the influencing factors of inadequate hypoglycemia (
P
<
0.05). The area under ROC curve (AUC) of BMI predicting hypoglycemia was 0.880
and the cut-off point of BMI calculated by Jorden index was 24.012
with a sensitivity of 0.832 and specificity of 0.804. The AUC of BMI
baseline blood glucose
LDL-C and HDL-C in the combined diagnosis of inadequate hypoglycemia was 0.909 (sensitivity
0.895; specificity
0.782).
Conclusion
2
High BMI
high baseline blood glucose
high LDL-C level and low HDL-C level are the influencing factors of inadequate hypoglycemia. The combined detection of these 4 factors and BMI single index both have a high predictive value on inadequate hypoglycemia.
关键词
Keywords
references
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