RESUMEN
OBJECTIVE: The purpose of this work was to check the connection between parameters of lipid profile and body mass index (BMI) in relation to the occurrence of acute pancreatitis within a sample of adults from northern China. METHODOLOGY: A total of 123,214 participants from the Kailuan Group were incorporated into this prospective study. The subjects were categorized into quartiles on the basis of their initial levels of triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). On the basis of BMI classification, the individuals in the study were divided into three distinct groups: normal weight, overweight, and obese. The data were analyzed to explore the correlation between lipid profile and BMI with acute pancreatitis. RESULTS: Over a period of 12.59 ± 0.98 years, during the median follow-up duration, a total of 410 new patients with acute pancreatitis were recorded. The occurrence rate and total occurrence of acute pancreatitis demonstrated an upward trend in correlation with elevated levels of TG, TC, and BMI. Following adjustment for multiple variables, it was observed that individuals in the fourth quartile of TG and TC levels demonstrated the highest likelihood of developing acute pancreatitis. Furthermore, our analysis revealed that a proportion of 19.29% of the correlation between BMI and the likelihood of experiencing acute pancreatitis can be attributed to the influence of elevated TG levels, whereas 12.69% of the association was mediated by higher TC. CONCLUSIONS: We found that hypertriglyceridemia, hypercholesterolemia, and obesity were risk factors for acute pancreatitis, especially in young and middle-aged men.TG and TC were the mediating factors between BMI and the risk of acute pancreatitis.
RESUMEN
OBJECTIVES: The aim of the study is explore the association between serum uric acid (UA) and acute pancreatitis (AP) risk in a Chinese population. METHODS: We included 124,316 participants who enrolled in the Kailuan cohort from 2006 to 2009. We fitted Cox models to estimate the correlation between UA and AP. RESULT: During an average follow-up of 11.97 years (standard deviation, 2.16 years), 396 AP developed. The incidence rates from quartile 1 to quartile 4 of AP were 20.76, 18.78, 30.58, and 36.79 per 100,000 person-years, respectively. Multivariate analysis showed a significantly increased risk in quartile 3 (hazard ratio [HR], 1.42; 95% confidence interval [CI], 1.05-1.91) and quartile 4 (HR, 1.61; 95% CI, 1.19-2.17) compared with quartile 1. The association may be modified by alcohol use (P for interaction = 0.017). The quartile 4 group with excessive alcohol consumption showed an enormously increased risk of AP (HR, 9.09; 95% CI, 1.18-70.21) than those without (HR, 1.46; 95% CI, 1.07-2.00). CONCLUSIONS: Elevated serum UA is an independent risk factor for AP. Surveillance of serum UA, especially among heavy drinkers, may be helpful for AP prevention.