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Nie Y, Zhou H, Wang J, Kan H. Association between systemic immune-inflammation index and diabetes: a population-based study from the NHANES. Front Endocrinol (Lausanne) 2023; 14:1245199. [PMID: 38027115 PMCID: PMC10644783 DOI: 10.3389/fendo.2023.1245199] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 10/13/2023] [Indexed: 12/01/2023] Open
Abstract
Background Systemic Immune-Inflammation Index (SII) has been reported to be associated with diabetes. We aimed to assess possible links between SII and diabetes. Methods Data were obtained from the 2017-2020 National Health and Nutrition Examination Survey (NHANES) database. After removing missing data for SII and diabetes, we examined patients older than 20 years. Simultaneously, the relationship between SII and diabetes was examined using weighted multivariate regression analysis, subgroup analysis, and smooth curve fitting. Results There were 7877 subjects in this study, the average SII was 524.91 ± 358.90, and the prevalence of diabetes was 16.07%. Weighted multivariate regression analysis found that SII was positively associated with diabetes, and in model 3, this positive association remained stable (OR = 1.04; 95% CI: 1.02-1.06; p = 0.0006), indicating that each additional unit of SII, the possibility of having diabetes increased by 4%. Gender, age, BMI, regular exercise, high blood pressure, and smoking did not significantly affect this positive link, according to the interaction test (p for trend>0.05). Discussion Additional prospective studies are required to examine the precise connection between higher SII levels and diabetes, which may be associated with higher SII levels.
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Affiliation(s)
- Yiqi Nie
- School of Medical Information Engineering, Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China
- Anhui Computer Application Research Institute of Chinese Medicine, China Academy of Chinese Medical Sciences, Hefei, Anhui, China
| | - Haiting Zhou
- School of Chinese Medicine, Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China
| | - Jing Wang
- School of Chinese Medicine, Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China
| | - Hongxing Kan
- School of Medical Information Engineering, Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China
- Anhui Computer Application Research Institute of Chinese Medicine, China Academy of Chinese Medical Sciences, Hefei, Anhui, China
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Jiao Y, Zhang X, Liu M, Sun Y, Ma Z, Gu X, Gu W, Zhu W. Systemic immune-inflammation index within the first postoperative hour as a predictor of severe postoperative complications in upper abdominal surgery: a retrospective single-center study. BMC Gastroenterol 2022; 22:403. [PMID: 36030214 PMCID: PMC9419130 DOI: 10.1186/s12876-022-02482-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 08/16/2022] [Indexed: 11/10/2022] Open
Abstract
Background Systemic pro-inflammatory factors play a critical role in mediating severe postoperative complications (SPCs) in upper abdominal surgery (UAS). The systemic immune-inflammation index (SII) has been identified as a new inflammatory marker in many occasions. The present study aims to determine the association between SII and the occurrence of SPCs after UAS. Methods Included in this study were 310 patients with upper abdominal tumors who received UAS and subsequently were transferred to the anesthesia intensive care unit between November 2020 and November 2021 in Nanjing Drum Hospital. SPCs, including postoperative pulmonary complications (PPCs), major adverse cardiac and cardiovascular events, postoperative infections and delirium, were recorded during the hospital stay. The clinical features of the patients with and without SPCs were compared by Student’s t-test or Fisher’s exact test as appropriate. Risk factors associated with SPC occurrence were evaluated by univariable and multivariable logistic regression analyses. Receiver operating characteristic (ROC) curve analysis was used to establish a cut-off level of SII value to predict SPCs. Results Of the 310 patients receiving UAS, 103 patients (33.2%) presented at least one SPC, including PPCs (n = 62), adverse cardiovascular events (n = 22), postoperative infections (n = 51), and delirium (n = 5). Both preoperative SII and 1-h postoperative SII in patients with SPCs were significantly higher than those in patients without SPCs. Multivariate analysis showed that 1-h postoperative SII was an independent predictor for SPC occurrence (OR = 1.000, 95% CI 1.000–1.000, P = 0.007), together with postoperative C-reactive protein, postoperative arterial lactate, postoperative oxygenation-index and older age. The ROC curve showed that the optimal cutoff value of 1-h postoperative SII to predict SPCs was 754.6078 × 109/L, with an 88.3% sensitivity and a 29% specificity. Multivariate analysis also confirmed that 1-h postoperative SII > 754.6078 × 109/L was associated with increased SPC occurrence (OR = 2.656, 95% CI 1.311–5.381, P = 0.007). Conclusion Our findings demonstrated an association between the higher level of 1-h postoperative SII and SPCs, suggesting that 1-h postoperative SII, especially categorized 1-h postoperative SII using cutoff value, may be a useful tool for identifying patients at risk of developing SPCs.
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Affiliation(s)
- Yang Jiao
- Department of Anesthesiology, Nanjing Drum Tower Hospital, The Affliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, China
| | - Xiao Zhang
- Department of Anesthesiology, Nanjing Drum Tower Hospital, The Affliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, China
| | - Mei Liu
- Department of Anesthesiology, Nanjing Drum Tower Hospital, The Affliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, China
| | - Yu'e Sun
- Department of Anesthesiology, Nanjing Drum Tower Hospital, The Affliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, China
| | - Zhengliang Ma
- Department of Anesthesiology, Nanjing Drum Tower Hospital, The Affliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, China
| | - Xiaoping Gu
- Department of Anesthesiology, Nanjing Drum Tower Hospital, The Affliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, China
| | - Wei Gu
- Department of Anesthesiology, Nanjing Drum Tower Hospital, The Affliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, China.
| | - Wei Zhu
- Department of Anesthesiology, Nanjing Drum Tower Hospital, The Affliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, China.
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