{"title":"脂肪肝指数是全因死亡率和特定疾病死亡率的独立预测指标。","authors":"Ruixin Zhang, Shuhao Ren, Hongfei Mi, Meixia Wang, Tingjuan He, Renyan Zhang, Wei Jiang, Chenghao Su","doi":"10.1097/MEG.0000000000002865","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to assess the prognostic value of the fatty liver index (FLI), a noninvasive tool for hepatic steatosis assessment, in predicting all-cause and disease-specific mortality.</p><p><strong>Methods: </strong>We linked data from the National Health and Nutrition Examination Survey III (1988-1994) with Public-Use Mortality Files, forming a cohort of 11 297 participants with a median follow-up period of 26.25 years. Cox proportional hazards models were used to evaluate the association between FLI and all-cause mortality, while Fine and Gray's models assessed the relationship between FLI and disease-specific mortality.</p><p><strong>Results: </strong>The FLI ≥ 60 was independently associated with an increased risk of all-cause mortality (hazard ratio = 1.24, P < 0.001), as well as mortality from malignant neoplasms (hazard ratio = 1.18, P = 0.048), diabetes (hazard ratio = 2.62, P = 0.001), and cardiovascular diseases (CVDs) (hazard ratio = 1.18, P = 0.018), compared to FLI < 30. No significant associations were found with Alzheimer's disease, influenza and pneumonia, chronic lower respiratory diseases, or renal disorders. Subgroup analyses indicated that individuals who were females aged 40-60 (hazard ratio = 1.67, P = 0.003), non-overweight (hazard ratio = 1.75, P = 0.007), or without abdominal obesity (hazard ratio = 1.75, P = 0.007) exhibited a stronger association between FLI ≥ 60 and all-cause mortality.</p><p><strong>Conclusion: </strong>These findings support the prognostic value of the FLI for predicting mortality from all causes, malignant neoplasms, diabetes, and CVDs. Targeted attention is needed in postmenopausal women, non-overweight, and non-abdominally obese populations.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11527378/pdf/","citationCount":"0","resultStr":"{\"title\":\"Fatty liver index as an independent predictor of all-cause and disease-specific mortality.\",\"authors\":\"Ruixin Zhang, Shuhao Ren, Hongfei Mi, Meixia Wang, Tingjuan He, Renyan Zhang, Wei Jiang, Chenghao Su\",\"doi\":\"10.1097/MEG.0000000000002865\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>This study aims to assess the prognostic value of the fatty liver index (FLI), a noninvasive tool for hepatic steatosis assessment, in predicting all-cause and disease-specific mortality.</p><p><strong>Methods: </strong>We linked data from the National Health and Nutrition Examination Survey III (1988-1994) with Public-Use Mortality Files, forming a cohort of 11 297 participants with a median follow-up period of 26.25 years. Cox proportional hazards models were used to evaluate the association between FLI and all-cause mortality, while Fine and Gray's models assessed the relationship between FLI and disease-specific mortality.</p><p><strong>Results: </strong>The FLI ≥ 60 was independently associated with an increased risk of all-cause mortality (hazard ratio = 1.24, P < 0.001), as well as mortality from malignant neoplasms (hazard ratio = 1.18, P = 0.048), diabetes (hazard ratio = 2.62, P = 0.001), and cardiovascular diseases (CVDs) (hazard ratio = 1.18, P = 0.018), compared to FLI < 30. No significant associations were found with Alzheimer's disease, influenza and pneumonia, chronic lower respiratory diseases, or renal disorders. Subgroup analyses indicated that individuals who were females aged 40-60 (hazard ratio = 1.67, P = 0.003), non-overweight (hazard ratio = 1.75, P = 0.007), or without abdominal obesity (hazard ratio = 1.75, P = 0.007) exhibited a stronger association between FLI ≥ 60 and all-cause mortality.</p><p><strong>Conclusion: </strong>These findings support the prognostic value of the FLI for predicting mortality from all causes, malignant neoplasms, diabetes, and CVDs. Targeted attention is needed in postmenopausal women, non-overweight, and non-abdominally obese populations.</p>\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11527378/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/MEG.0000000000002865\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/MEG.0000000000002865","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/30 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Fatty liver index as an independent predictor of all-cause and disease-specific mortality.
Purpose: This study aims to assess the prognostic value of the fatty liver index (FLI), a noninvasive tool for hepatic steatosis assessment, in predicting all-cause and disease-specific mortality.
Methods: We linked data from the National Health and Nutrition Examination Survey III (1988-1994) with Public-Use Mortality Files, forming a cohort of 11 297 participants with a median follow-up period of 26.25 years. Cox proportional hazards models were used to evaluate the association between FLI and all-cause mortality, while Fine and Gray's models assessed the relationship between FLI and disease-specific mortality.
Results: The FLI ≥ 60 was independently associated with an increased risk of all-cause mortality (hazard ratio = 1.24, P < 0.001), as well as mortality from malignant neoplasms (hazard ratio = 1.18, P = 0.048), diabetes (hazard ratio = 2.62, P = 0.001), and cardiovascular diseases (CVDs) (hazard ratio = 1.18, P = 0.018), compared to FLI < 30. No significant associations were found with Alzheimer's disease, influenza and pneumonia, chronic lower respiratory diseases, or renal disorders. Subgroup analyses indicated that individuals who were females aged 40-60 (hazard ratio = 1.67, P = 0.003), non-overweight (hazard ratio = 1.75, P = 0.007), or without abdominal obesity (hazard ratio = 1.75, P = 0.007) exhibited a stronger association between FLI ≥ 60 and all-cause mortality.
Conclusion: These findings support the prognostic value of the FLI for predicting mortality from all causes, malignant neoplasms, diabetes, and CVDs. Targeted attention is needed in postmenopausal women, non-overweight, and non-abdominally obese populations.