Key result
A newly established prediction model incorporating C-reactive protein, lactate dehydrogenase, serum calcium, and ascites accurately predicted hypertriglyceridemic severe acute pancreatitis with an AUC of 0.960.
Why the study?
The prevalence of hypertriglyceridaemia-induced acute pancreatitis is increasing, but there is currently no clinical multifactor scoring system specific to it.
Observational (n=266)
No
Effect estimate: AUC 0.960 (95% CI 0.936-0.983)
Absolute Event Rate: 0.96% vs 0.794%
p-value: p=<0.01
A novel prediction model incorporating CRP, LDH, Ca2+, and ascites demonstrated high accuracy (AUC 0.960) for early prediction of hypertriglyceridemic severe acute pancreatitis.
The HTG-SAP model merits prospective validation for early prediction; leaves open its clinical adoption pending further study.
BACKGROUND: The prevalence of hypertriglyceridaemia-induced acute pancreatitis (HTG-AP) is increasing due to improvements in living standards and dietary changes. However, currently, there is no clinical multifactor scoring system specific to HTG-AP. This study aimed to screen the predictors of HTG-SAP and combine several indicators to establish and validate a visual model for the early prediction of HTG-SAP. METHODS: The clinical data of 266 patients with HTG-SAP were analysed. Patients were classified into severe (N = 42) and non-severe (N = 224) groups according to the Atlanta classification criteria. Several statistical analyses, including one-way analysis, least absolute shrinkage with selection operator (LASSO) regression model, and binary logistic regression analysis, were used to evaluate the data. RESULTS: , and ascites were independent predictors of HTG-SAP, and the area under the curve (AUC) values were 0.886, 0.893, 0.872, and 0.850, respectively. The AUC of the newly established HTG-SAP model was 0.960 (95% confidence interval: 0.936-0.983), which was higher than that of the bedside index for severity in acute pancreatitis (BISAP) score, modified CT severity index, Ranson score, and Japanese severity score (JSS) CT grade (AUC: 0.794, 0.796, 0.894 and 0.764, respectively). The differences were significant (P < 0.01), except for the JSS prognostic indicators (P = 0.130). The Hosmer-Lemeshow test showed that the predictive results of the model were highly consistent with the actual situation (P > 0.05). The decision curve analysis plot suggested that clinical intervention can benefit patients when the model predicts that they are at risk for developing HTG-SAP. CONCLUSIONS: , and ascites are independent predictors of HTG-SAP. The prediction model constructed based on these indicators has a high accuracy, sensitivity, consistency, and practicability in predicting HTG-SAP.
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Shuanglian et al. (2023) conducted an observational in Hypertriglyceridaemia-induced acute pancreatitis (n=266). Prediction model (CRP, LDH, Ca2+, and ascites) vs. BISAP score was evaluated on Prediction of hypertriglyceridemic severe acute pancreatitis (HTG-SAP) (AUC 0.960, 95% CI 0.936-0.983, p=<0.01). A newly established prediction model incorporating C-reactive protein, lactate dehydrogenase, serum calcium, and ascites accurately predicted hypertriglyceridemic severe acute pancreatitis with an AUC of 0.960.
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