Interactive effect of Hyperglycemia and Hyperuricemia on abnormal alanine aminotransferase / 中华疾病控制杂志
Chinese Journal of Disease Control & Prevention
; (12): 1370-1374, 2019.
Article
in Zh
| WPRIM
| ID: wpr-779523
Responsible library:
WPRO
ABSTRACT
Objective To investigate interaction effect of hyperglycemia and hyperuricemia on the patients with abnormal alanine aminotransferase(ALT). Methods From March to November 2018, 5 223 cases with complete and suitable data were enrolled in the physical medical examination in Yichang, Hubei Province of China. The metabolic characteristics of the two groups (508 ALT anomaly cases and 513 normal cases) were compared and analysed, Logistic regression model was used to study the independent effects of risk factors, and the interaction between risk factors was analyzed by additive model and multiplicative model. Results Levels of uric acid, triglyceride, total cholesterol, low density lipoprotein-cholesterol, fasting blood glucose, systolic blood pressure, diastolic blood pressure, body mass index, aspartate aminotransferase were significantly higher than that of the control group(all P<0.05). After adjusting some confounding factors, multivariate Logistic regression analysis showed that risk of abnormal ALT was 5.62 times higher in subjects with hyperglycemia and hyperuricemia than in subjects without them(95% CI:1.65-19.73, P=0.004). Interaction analysis of risk factors for abnormal ALT showed that there was no multiplicative interaction between hyperglycemia and hyperuricemia, but with additive interaction, the synergy index was 3.02, the relative excess risk due to interaction was 3.09, the attributable proportion due to interaction was 54.98% and pure factor attribution interaction was 66.87%. Conclusions There are several abnormal metabolic indices in individuals with abnormal ALT. The positive interaction between hyperglycemia and hyperuricemia are among the important risk factors for abnormal ALT patients. They can significantly increase the risk of illness.
Full text:
1
Database:
WPRIM
Type of study:
Prognostic_studies
/
Risk_factors_studies
Language:
Zh
Journal:
Chinese Journal of Disease Control & Prevention
Year:
2019
Document type:
Article