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Predictive Value of IL-6 Combination with RDW and Extravascular Lung Water Index in Severe Acute Pancreatitis Complicated by ARDS |
FAN Zhiwei, XIE Zhenlin, BI Zhengqiang |
Jiangbei Hospital, Zhongda Hospital, Southeast University, Jiangsu Nanjing 210044, China |
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Abstract Objective: To investigate the predictive value of serum interleukin-6 (IL-6) combined with red blood cell distribution width (RDW) and extravascular lung water index (ELWI) in severe acute pancreatitis (SAP) complicated by acute respiratory distress syndrome (ARDS). Methods: A total of 134 patients with SAP admitted to our hospital from January 2017 to July 2022 were selected and divided into 48 cases in the ARDS group and 86 cases in the non-ARDS group according to whether they had concomitant ARDS. Multifactorial logistic regression was used to analyze the influencing factors of SAP-complicated ARDS, and ROC curves were used to analyze the predictive value of serum IL-6, RDW levels, and ELWI for SAP-complicated ARDS. Results: Serum IL-6, RDW levels and ELWI were elevated in the ARDS group compared to the non-ARDS group (P<0.05). Multifactorial logistic regression analysis showed that increased respiratory rate (OR=1.042, 95% CI: 1.002 to 1.083) and IL-6 (OR=1.012, 95% CI: 1.004 to 1.019), RDW (OR=2.225, 95% CI: 1.339 to 3.696), ELWI (OR= 1.482, 95% CI: 1.193 to 1.840) were elevated as independent risk factors for SAP complicated by ARDS, and elevated oxygenation index (OR=0.990, 95% CI: 0.983 to 0.996) was an independent protective factor (P<0.05). ROC curve analysis showed that serum IL-6 and RDW combined with ELWI (AUC=0.889, 95% CI: 0.824 to 0.937) predicted a greater area under the curve (AUC) for SAP complicated by ARDS than IL-6 (AUC=0.755, 95% CI: 0.673 to 0.825), RDW (AUC=0.743, 95% CI: 0.660 to 0.815) and ELWI (AUC=0.766, 95% CI: 0.685 to 0.835) predicted individually (P<0.05). Conclusion: Elevated serum IL-6, RDW levels and ELWI were independently associated with SAP complicated by ARDS, and serum IL-6 and RDW combined with ELWI were of high value in predicting SAP complicated by ARDS.
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