{"title":"炎症指标对急性主动脉夹层患者住院死亡率的预测价值。","authors":"Yijing Xin, Siqi Lyu, Jingyang Wang, Yimeng Wang, Yuyuan Shu, Hanyang Liang, Yanmin Yang","doi":"10.1186/s12872-025-04775-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The purpose of this study was to assess the relationship between admission inflammatory indexes neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and systemic immune-inflammation index (SII), and the risk of in-hospital all-cause mortality in acute aortic dissection (AAD) patients.</p><p><strong>Methods: </strong>A retrospective analysis was conducted on 597 AAD patients (Stanford classification: Stanford type A 365 patients, Stanford type B 232 patients) at a single center. Outcomes were the incidence of in-hospital all-cause mortality. The risk of all-cause death was compared between the groups with low and high inflammatory indexes using the Kaplan-Meier curve. The association between admission inflammatory indexes and outcomes was evaluated using the Cox regression model and restricted cubic splines (RCS). Stratified analysis was performed based on AAD type, age (< 50 years or ≥ 50 years), and gender.</p><p><strong>Results: </strong>The Kaplan-Meier curves revealed statistically significant differences in outcomes among the low and high inflammatory indexes groups. Cox regression analysis revealed that the in-hospital mortality risk was significantly high in the high inflammatory index groups. MLR was the strongest associated with in-hospital mortality risk. The RCS curve revealed that NLR was non-linearly and J-shaped correlated with in-hospital mortality, and MLR and SII were linearly correlated with in-hospital mortality. Stratified analysis showed interactions between NLR, MLR, and SII and AAD type and age for the risk of in-hospital mortality.</p><p><strong>Conclusion: </strong>Admission high inflammatory indexes were independently associated with an increased risk of in-hospital all-cause mortality in AAD patients. The inflammatory indexes NLR, MLR, and SII may be useful indicators for predicting in-hospital all-cause mortality in AAD patients.</p>","PeriodicalId":9195,"journal":{"name":"BMC Cardiovascular Disorders","volume":"25 1","pages":"323"},"PeriodicalIF":2.0000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12023605/pdf/","citationCount":"0","resultStr":"{\"title\":\"Predictive value of inflammatory indexes in in-hospital mortality for patients with acute aortic dissection.\",\"authors\":\"Yijing Xin, Siqi Lyu, Jingyang Wang, Yimeng Wang, Yuyuan Shu, Hanyang Liang, Yanmin Yang\",\"doi\":\"10.1186/s12872-025-04775-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The purpose of this study was to assess the relationship between admission inflammatory indexes neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and systemic immune-inflammation index (SII), and the risk of in-hospital all-cause mortality in acute aortic dissection (AAD) patients.</p><p><strong>Methods: </strong>A retrospective analysis was conducted on 597 AAD patients (Stanford classification: Stanford type A 365 patients, Stanford type B 232 patients) at a single center. Outcomes were the incidence of in-hospital all-cause mortality. The risk of all-cause death was compared between the groups with low and high inflammatory indexes using the Kaplan-Meier curve. The association between admission inflammatory indexes and outcomes was evaluated using the Cox regression model and restricted cubic splines (RCS). Stratified analysis was performed based on AAD type, age (< 50 years or ≥ 50 years), and gender.</p><p><strong>Results: </strong>The Kaplan-Meier curves revealed statistically significant differences in outcomes among the low and high inflammatory indexes groups. Cox regression analysis revealed that the in-hospital mortality risk was significantly high in the high inflammatory index groups. MLR was the strongest associated with in-hospital mortality risk. The RCS curve revealed that NLR was non-linearly and J-shaped correlated with in-hospital mortality, and MLR and SII were linearly correlated with in-hospital mortality. Stratified analysis showed interactions between NLR, MLR, and SII and AAD type and age for the risk of in-hospital mortality.</p><p><strong>Conclusion: </strong>Admission high inflammatory indexes were independently associated with an increased risk of in-hospital all-cause mortality in AAD patients. The inflammatory indexes NLR, MLR, and SII may be useful indicators for predicting in-hospital all-cause mortality in AAD patients.</p>\",\"PeriodicalId\":9195,\"journal\":{\"name\":\"BMC Cardiovascular Disorders\",\"volume\":\"25 1\",\"pages\":\"323\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12023605/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Cardiovascular Disorders\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12872-025-04775-9\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Cardiovascular Disorders","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12872-025-04775-9","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Predictive value of inflammatory indexes in in-hospital mortality for patients with acute aortic dissection.
Background: The purpose of this study was to assess the relationship between admission inflammatory indexes neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and systemic immune-inflammation index (SII), and the risk of in-hospital all-cause mortality in acute aortic dissection (AAD) patients.
Methods: A retrospective analysis was conducted on 597 AAD patients (Stanford classification: Stanford type A 365 patients, Stanford type B 232 patients) at a single center. Outcomes were the incidence of in-hospital all-cause mortality. The risk of all-cause death was compared between the groups with low and high inflammatory indexes using the Kaplan-Meier curve. The association between admission inflammatory indexes and outcomes was evaluated using the Cox regression model and restricted cubic splines (RCS). Stratified analysis was performed based on AAD type, age (< 50 years or ≥ 50 years), and gender.
Results: The Kaplan-Meier curves revealed statistically significant differences in outcomes among the low and high inflammatory indexes groups. Cox regression analysis revealed that the in-hospital mortality risk was significantly high in the high inflammatory index groups. MLR was the strongest associated with in-hospital mortality risk. The RCS curve revealed that NLR was non-linearly and J-shaped correlated with in-hospital mortality, and MLR and SII were linearly correlated with in-hospital mortality. Stratified analysis showed interactions between NLR, MLR, and SII and AAD type and age for the risk of in-hospital mortality.
Conclusion: Admission high inflammatory indexes were independently associated with an increased risk of in-hospital all-cause mortality in AAD patients. The inflammatory indexes NLR, MLR, and SII may be useful indicators for predicting in-hospital all-cause mortality in AAD patients.
期刊介绍:
BMC Cardiovascular Disorders is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of disorders of the heart and circulatory system, as well as related molecular and cell biology, genetics, pathophysiology, epidemiology, and controlled trials.