Ömer Faruk Baycan, Furkan Bölen, Başak Atalay, Mehmet Agirbasli
{"title":"HDL-C对土耳其人群中COVID-19肺炎患者长期死亡率的预后意义:人群差异的潜在机制","authors":"Ömer Faruk Baycan, Furkan Bölen, Başak Atalay, Mehmet Agirbasli","doi":"10.17305/bjbms.2022.7545","DOIUrl":null,"url":null,"abstract":"<p><p>Coronavirus disease 2019 (COVID-19) is diagnosed by the evidence of the presence of multiple phenotypes, including thrombosis, inflammation, and alveolar and myocardial damage, which can cause severe illness and mortality. High-density lipoprotein cholesterol (HDL-C) has pleiotropic properties, including anti-inflammatory, anti-infectious, antithrombotic, and endothelial cell protective effects. The aim of this study was to investigate the HDL-C levels and one-year mortality after the first wave of patients with COVID-19 were hospitalized. Data from 101 patients with COVID-19 were collected for this single-center retrospective study. Lipid parameters were collected on the admission. The relationship between lipid parameters and long-term mortality was investigated. The mean age of the non-survivor group (n = 38) was 68.8 ± 14.1 years, and 55% were male. The HDL-C levels were significantly lower in the non-survivors group compared with the survivors (26.9 ± 9.5 vs 36.8 ± 12.8 mg/dl, respectively p < 0.001). Multivariate regression analysis determined that age, C-reactive protein, D-dimer, hypertension, and HDL-C as independent predictors for the development of COVID-19 mortality. HDL-C levels <30.5 mg/dl had 71% sensitivity and 68% specificity to predict one-year mortality after COVID-19. The findings of this study showed that HDL-C is a predictor of one-year mortality in Turkish patients with COVID-19. COVID-19 is associated with decreased lipid levels, and it is an indicator of the inflammatory burden and increased mortality rate. The consequences of long-term metabolic dysregulations in patients that have recovered from COVID-19 still need to be understood.</p>","PeriodicalId":9147,"journal":{"name":"Bosnian journal of basic medical sciences","volume":" ","pages":"1016-1024"},"PeriodicalIF":3.1000,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589303/pdf/","citationCount":"2","resultStr":"{\"title\":\"Prognostic significance of HDL-C on long-term mortality in patients with COVID-19 pneumonia in the Turkish population: A potential mechanism for population differences.\",\"authors\":\"Ömer Faruk Baycan, Furkan Bölen, Başak Atalay, Mehmet Agirbasli\",\"doi\":\"10.17305/bjbms.2022.7545\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Coronavirus disease 2019 (COVID-19) is diagnosed by the evidence of the presence of multiple phenotypes, including thrombosis, inflammation, and alveolar and myocardial damage, which can cause severe illness and mortality. High-density lipoprotein cholesterol (HDL-C) has pleiotropic properties, including anti-inflammatory, anti-infectious, antithrombotic, and endothelial cell protective effects. The aim of this study was to investigate the HDL-C levels and one-year mortality after the first wave of patients with COVID-19 were hospitalized. Data from 101 patients with COVID-19 were collected for this single-center retrospective study. Lipid parameters were collected on the admission. The relationship between lipid parameters and long-term mortality was investigated. The mean age of the non-survivor group (n = 38) was 68.8 ± 14.1 years, and 55% were male. The HDL-C levels were significantly lower in the non-survivors group compared with the survivors (26.9 ± 9.5 vs 36.8 ± 12.8 mg/dl, respectively p < 0.001). Multivariate regression analysis determined that age, C-reactive protein, D-dimer, hypertension, and HDL-C as independent predictors for the development of COVID-19 mortality. HDL-C levels <30.5 mg/dl had 71% sensitivity and 68% specificity to predict one-year mortality after COVID-19. The findings of this study showed that HDL-C is a predictor of one-year mortality in Turkish patients with COVID-19. COVID-19 is associated with decreased lipid levels, and it is an indicator of the inflammatory burden and increased mortality rate. The consequences of long-term metabolic dysregulations in patients that have recovered from COVID-19 still need to be understood.</p>\",\"PeriodicalId\":9147,\"journal\":{\"name\":\"Bosnian journal of basic medical sciences\",\"volume\":\" \",\"pages\":\"1016-1024\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2022-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589303/pdf/\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bosnian journal of basic medical sciences\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.17305/bjbms.2022.7545\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bosnian journal of basic medical sciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.17305/bjbms.2022.7545","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 2
摘要
2019冠状病毒病(COVID-19)是通过存在多种表型的证据来诊断的,包括血栓形成、炎症、肺泡和心肌损伤,这些表型可导致严重疾病和死亡。高密度脂蛋白胆固醇(HDL-C)具有多种特性,包括抗炎、抗感染、抗血栓和内皮细胞保护作用。本研究的目的是调查第一波COVID-19患者住院后的HDL-C水平和一年死亡率。这项单中心回顾性研究收集了101例COVID-19患者的数据。入院时采集血脂参数。研究了血脂参数与长期死亡率的关系。非幸存者组(n = 38)的平均年龄为68.8±14.1岁,55%为男性。非幸存者组的HDL-C水平明显低于幸存者组(26.9±9.5 vs 36.8±12.8 mg/dl, p < 0.001)。多因素回归分析确定年龄、c反应蛋白、d -二聚体、高血压和HDL-C是COVID-19死亡率发展的独立预测因素。高密度脂蛋白胆固醇水平
Prognostic significance of HDL-C on long-term mortality in patients with COVID-19 pneumonia in the Turkish population: A potential mechanism for population differences.
Coronavirus disease 2019 (COVID-19) is diagnosed by the evidence of the presence of multiple phenotypes, including thrombosis, inflammation, and alveolar and myocardial damage, which can cause severe illness and mortality. High-density lipoprotein cholesterol (HDL-C) has pleiotropic properties, including anti-inflammatory, anti-infectious, antithrombotic, and endothelial cell protective effects. The aim of this study was to investigate the HDL-C levels and one-year mortality after the first wave of patients with COVID-19 were hospitalized. Data from 101 patients with COVID-19 were collected for this single-center retrospective study. Lipid parameters were collected on the admission. The relationship between lipid parameters and long-term mortality was investigated. The mean age of the non-survivor group (n = 38) was 68.8 ± 14.1 years, and 55% were male. The HDL-C levels were significantly lower in the non-survivors group compared with the survivors (26.9 ± 9.5 vs 36.8 ± 12.8 mg/dl, respectively p < 0.001). Multivariate regression analysis determined that age, C-reactive protein, D-dimer, hypertension, and HDL-C as independent predictors for the development of COVID-19 mortality. HDL-C levels <30.5 mg/dl had 71% sensitivity and 68% specificity to predict one-year mortality after COVID-19. The findings of this study showed that HDL-C is a predictor of one-year mortality in Turkish patients with COVID-19. COVID-19 is associated with decreased lipid levels, and it is an indicator of the inflammatory burden and increased mortality rate. The consequences of long-term metabolic dysregulations in patients that have recovered from COVID-19 still need to be understood.
期刊介绍:
The Bosnian Journal of Basic Medical Sciences (BJBMS) is an international, English-language, peer reviewed journal, publishing original articles from different disciplines of basic medical sciences. BJBMS welcomes original research and comprehensive reviews as well as short research communications in the field of biochemistry, genetics, immunology, microbiology, pathology, pharmacology, pharmaceutical sciences and physiology.