Cardiometabolic Index (CMI), Lipid Accumulation Products (LAP), Waist Triglyceride Index (WTI), and Acute Pancreatitis (AP) Risk: A Prospective Study conducted on Adults in North China

Abstract

Objective: To investigate the correlation between anthropometric indexes [cardiometabolic index (CMI)，lipid accumulation products (LAP), waist triglyceride index (WTI), and body mass index (BMI)] and acute pancreatitis (AP) in a Chinese adult population. Methodology: The present investigation consisted of a prospective group including 117,326 subjects who were enrolled in the Kailuan investigation. The individuals were categorized into quartiles based on their baseline levels of CMI, LAP, and WIT. BMI was categorized into three distinctive groups: normal weight group (BMI<24 kg/m2), overweight group (BMI 24–28 kg /m2), and obesity group (BMI≥28 kg/m2). The data were subjected to analysis in order to investigate the correlation between these anthropometric indexes and the incidence of AP. Cox regression models were employed to assess the relative risk of AP while accounting for known risk factors through appropriate adjustments. Outcomes: Over the course of a median follow-up duration of 12.59+0.98 years, we documented 401 incident AP cases. Incidence density and cumulative incidence rates of AP increased with the increase of CMI, LAP, and WTI. After multivariate adjustment, the fourth quartile of CMI, LAP, and WTI exhibited the greatest risk of AP [CMI: hazard ratio (HR) 1.93, 95% confidential interval (CI) (1.45–2.57); LAP: HR 2.00, 95% CI（1.49–2.68); WTI: HR 2.13,95% CI（1.59–2.83）]. In comparison to the normal weight group, the obesity group (BMI≥28 kg/m2) had an elevated risk of AP (HR=1.58, 95% CI: 1.21–2.05). Furthermore, the incremental effect of BMI combined with CMI on the prognostic value of AP was greater than that of BMI alone (the C statistics demonstrated a result of 0.607 versus 0.546; the integrated discrimination improvement revealed a result of 0.321%; net reclassification improvement was 1.975%). Conclusion: We found that CMI, LAP, and WTI were positively and independently connected to the risk of AP. Additionally, CMI demonstrates a superior prognostic capacity than other indexes in anticipating AP.