Systemic Immune-Inflammation Index for Predicting the Prognosis of Critically Ill Patients with Acute Pancreatitis
| Autor: | Xiuli Dong, Daguan Zhang, Jianpeng Liu, Liang Sun, Xuecheng Sun, Qiaolin Wu, Tingting Wang |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
acute pancreatitis business.industry Proportional hazards model multiparameter intelligent monitoring in intensive care unit Confounding Subgroup analysis Retrospective cohort study International Journal of General Medicine General Medicine medicine.disease mortality Internal medicine Intensive care systemic immune-inflammation index Inclusion and exclusion criteria Medicine Acute pancreatitis prognosis business Prospective cohort study Original Research |
| Zdroj: | International Journal of General Medicine |
| ISSN: | 1178-7074 |
| Popis: | Daguan Zhang,1 Tingting Wang,1 Xiuli Dong,1 Liang Sun,1 Qiaolin Wu,2 Jianpeng Liu,3 Xuecheng Sun1 1Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Peopleâs Republic of China; 2Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Peopleâs Republic of China; 3Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Peopleâs Republic of ChinaCorrespondence: Xuecheng SunDepartment of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Peopleâs Republic of ChinaEmail sunxuecheng1979@163.comBackground: Systemic immune-inflammation index (SII) has been identified as a prognostic biomarker in various diseases. However, its significance in acute pancreatitis (AP) has not been reported. Therefore, the main aim of this study was to determine the association of SII with clinical outcomes of AP patients, after adjusting for several confounders.Methods: This retrospective cohort study was conducted using data retrieved from the Medical Information Mart for Intensive Care III database (MIMIC-III). The study only included patients diagnosed with AP. SII was calculated as the platelet counts x neutrophil counts/lymphocyte counts. Cox regression models were employed to assess the impact of SII on the 30- and 90-day mortality of AP patients. Subgroup analysis was carried out to explore the stability of the relationship between SII and AP mortality.Results: A total of 513 patients were found to be eligible based on the inclusion and exclusion criteria. For 30-day all-cause mortality, in the model adjusted for multiple confounders, the HR (95% CI) for mid-SII group (SII: 75.6â 104.2) and high-SII groups (SII: > 104.2) were 1.29 (0.65, 2.56) and 2.57 (1.35, 4.88), respectively, compared to the low-SII group (SII: < 75.5). A similar trend was observed for 90-day mortality. Subgroup analyses presented a stable relationship between SII and 30-day all-cause mortality of AP patients.Conclusion: SII is a potentially useful prognostic biomarker for AP. However, prospective studies are needed to confirm this finding.Keywords: acute pancreatitis, systemic immune-inflammation index, multiparameter intelligent monitoring in intensive care unit, mortality, prognosis |
| Databáze: | OpenAIRE |
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