目的探究甘油三酯与高密度脂蛋白胆固醇比值(TG/HDL-C)对原发性肝癌发病的影响。方法采用前瞻性队列研究的方式,收集2006年7月—2007年12月参加开滦集团健康体检的99750例在职及离退休职工的体检资料,并对其原发性肝癌的发病情况进行随...目的探究甘油三酯与高密度脂蛋白胆固醇比值(TG/HDL-C)对原发性肝癌发病的影响。方法采用前瞻性队列研究的方式,收集2006年7月—2007年12月参加开滦集团健康体检的99750例在职及离退休职工的体检资料,并对其原发性肝癌的发病情况进行随访,随访截止时间为2021年12月31日。根据TG/HDL-C三分位水平将受试者分成3组,分别为Q1组(TC/HDL-C<0.66,n=33229)、Q2组(0.66≤TC/HDL-C<1.14,n=33302)、Q3组(TC/HDL-C≥1.14,n=33219)。计算各组原发性肝癌的发病密度。符合正态分布的计量资料多组间比较采用单因素方差分析;符合偏态分布的计量资料多组间比较采用Kruskal-Wallis H检验。计数资料组间比较采用χ2检验。采用Kaplan⁃Meier法计算各组原发性肝癌的累积发病率,以Logrank检验比较各组间累积发病率的差异。采用Cox比例风险模型分析不同TG/HDL-C水平分组对原发性肝癌发病的影响。结果3组受试者年龄、男性比例、腰围、BMI、空腹血糖、收缩压、舒张压、TG、TC、HDL-C、LDL-C、ALT、超敏C-反应蛋白、慢性肝病、高血压病、糖尿病、恶性肿瘤家族史、饮酒、吸烟、体育锻炼、受教育程度组间对比差异均有统计学意义(P值均<0.05)。在平均(14.06±2.71)年的随访过程中,新发肝癌共计484例,其中男446例,女38例。Q1组、Q2组、Q3组原发性肝癌的发病密度分别是0.39/千人年、0.35/千人年、0.30/千人年。3组受试者的原发性肝癌累积发病率分别是6.03‰、5.28‰和4.49‰,经Log-rank检验,差异有统计学意义(χ^(2)=6.06,P=0.048)。校正了考虑到的混杂因素后,Cox比例风险模型结果显示,以Q3组为对照,Q1、Q2组的风险比及95%可信区间分别为2.04(1.61~2.58)、1.53(1.21~1.92)(P for trend<0.05)。结论TG/HDL-C水平降低与原发性肝癌发病风险升高有关,特别是在慢性肝病的人群中这种关联更加明显。展开更多
目的:探讨急性ST段抬高型心肌梗死(STEMI)患者低密度脂蛋白胆固醇(LDL-C)/高密度脂蛋白胆固醇(HDL-C)比值(LHR)与其院内主要不良心血管事件(MACE)的相关性及其在临床中的应用价值。方法:收集发病12h内就诊的481例STEMI住院患者的临床资...目的:探讨急性ST段抬高型心肌梗死(STEMI)患者低密度脂蛋白胆固醇(LDL-C)/高密度脂蛋白胆固醇(HDL-C)比值(LHR)与其院内主要不良心血管事件(MACE)的相关性及其在临床中的应用价值。方法:收集发病12h内就诊的481例STEMI住院患者的临床资料及MACE发生情况,根据LHR的中位数(2.9)将患者分为低LHR组(LHR≤2.9,n=223)和高LHR组(LHR>2.9,n=258)。分析LHR与STEMI患者院内MACE的相关性。结果:高LHR组患者院内MACE比例均高于低LHR组[恶性室性心律失常:29(11.2%) VS 9(4.0%),P=0.004;高度房室传导阻滞:22(8.5%) VS 6(2.7%),P=0.006;心源性休克+死亡:29(11.2%) VS 7(3.1%),P=0.001]。恶性室性心律失常、心源性休克+死亡患者LHR差异有统计学意义(P均<0.05)。Pearson相关分析显示,除高度房室传导阻滞(r=0.060,P>0.05)外,LHR与恶性室性心律失常(r=0.121)、心源性休克和死亡(r=0.115)均显著相关(P<0.05)。多因素Logistic回归分析显示,LHR、空腹血糖是STEMI患者发生院内MACE的独立危险因素(P均<0.05)。ROC曲线显示LHR预测STEMI患者院内MACE的曲线下面积为0.606(95%CI:0.544~0.668),cut-off值为2.854,敏感度为80.6%,特异度为52.1%;LHR>2.854时STEMI住院患者很可能会发生MACE。结论:STEMI患者LHR升高与恶性室性心律失常、心源性休克及死亡发生呈正相关。LHR是STEMI患者发生MACE的独立危险因素,对恶性室性心律失常、心源性休克及死亡发生有一定的预测价值。展开更多
Background: Workers’ health condition is an important issue. It affects not only the well-being of workers but also the firms and society as a whole through medical costs and productivity losses due to absenteeism an...Background: Workers’ health condition is an important issue. It affects not only the well-being of workers but also the firms and society as a whole through medical costs and productivity losses due to absenteeism and presenteeism. Data and Methods: Data were obtained from 1136 employees at an operational site of a large corporation. The dataset contained both medical checkups and working record information. Health factors affecting long-term absence (over three days in three months) were analyzed. Logistic regression models and the procedure for selecting proper covariates based on likelihood test statistics and the Akaike information criterion were used. Results: Among health factors, high-density lipoprotein cholesterol (HDL-C) and blood sugar levels were important in the selected model. For HDL-C, the odds ratio (OR) based on one standard deviation difference was 0.75 with a 95% confidence interval (CI) of 0.59 - 0.95. For blood sugar, the OR was 1.20 with a 95% CI of 1.01 - 1.42. Improving HDL-C and blood sugar levels would reduce long-term absence by 25% and 20%, respectively. Conclusion: Controlling HDL-C and blood sugar levels is important to reduce long-term absenteeism. These factors can be improved by modifying eating habits. Since the operational site has its own company cafeterias, which most employees use, nutritional intervention is relatively easy with little or no cost. It may be worthwhile to implement nutritional intervention, especially for patients with low HDL-C or high blood sugar levels. Limitations: The results of this study were based on one operational site of a corporation. The employees were mainly operators working inside the building. The results may be different from other types of jobs and working conditions, such as fieldwork. Analyses of different types of jobs and working conditions are necessary.展开更多
文摘目的探究甘油三酯与高密度脂蛋白胆固醇比值(TG/HDL-C)对原发性肝癌发病的影响。方法采用前瞻性队列研究的方式,收集2006年7月—2007年12月参加开滦集团健康体检的99750例在职及离退休职工的体检资料,并对其原发性肝癌的发病情况进行随访,随访截止时间为2021年12月31日。根据TG/HDL-C三分位水平将受试者分成3组,分别为Q1组(TC/HDL-C<0.66,n=33229)、Q2组(0.66≤TC/HDL-C<1.14,n=33302)、Q3组(TC/HDL-C≥1.14,n=33219)。计算各组原发性肝癌的发病密度。符合正态分布的计量资料多组间比较采用单因素方差分析;符合偏态分布的计量资料多组间比较采用Kruskal-Wallis H检验。计数资料组间比较采用χ2检验。采用Kaplan⁃Meier法计算各组原发性肝癌的累积发病率,以Logrank检验比较各组间累积发病率的差异。采用Cox比例风险模型分析不同TG/HDL-C水平分组对原发性肝癌发病的影响。结果3组受试者年龄、男性比例、腰围、BMI、空腹血糖、收缩压、舒张压、TG、TC、HDL-C、LDL-C、ALT、超敏C-反应蛋白、慢性肝病、高血压病、糖尿病、恶性肿瘤家族史、饮酒、吸烟、体育锻炼、受教育程度组间对比差异均有统计学意义(P值均<0.05)。在平均(14.06±2.71)年的随访过程中,新发肝癌共计484例,其中男446例,女38例。Q1组、Q2组、Q3组原发性肝癌的发病密度分别是0.39/千人年、0.35/千人年、0.30/千人年。3组受试者的原发性肝癌累积发病率分别是6.03‰、5.28‰和4.49‰,经Log-rank检验,差异有统计学意义(χ^(2)=6.06,P=0.048)。校正了考虑到的混杂因素后,Cox比例风险模型结果显示,以Q3组为对照,Q1、Q2组的风险比及95%可信区间分别为2.04(1.61~2.58)、1.53(1.21~1.92)(P for trend<0.05)。结论TG/HDL-C水平降低与原发性肝癌发病风险升高有关,特别是在慢性肝病的人群中这种关联更加明显。
文摘目的:探讨急性ST段抬高型心肌梗死(STEMI)患者低密度脂蛋白胆固醇(LDL-C)/高密度脂蛋白胆固醇(HDL-C)比值(LHR)与其院内主要不良心血管事件(MACE)的相关性及其在临床中的应用价值。方法:收集发病12h内就诊的481例STEMI住院患者的临床资料及MACE发生情况,根据LHR的中位数(2.9)将患者分为低LHR组(LHR≤2.9,n=223)和高LHR组(LHR>2.9,n=258)。分析LHR与STEMI患者院内MACE的相关性。结果:高LHR组患者院内MACE比例均高于低LHR组[恶性室性心律失常:29(11.2%) VS 9(4.0%),P=0.004;高度房室传导阻滞:22(8.5%) VS 6(2.7%),P=0.006;心源性休克+死亡:29(11.2%) VS 7(3.1%),P=0.001]。恶性室性心律失常、心源性休克+死亡患者LHR差异有统计学意义(P均<0.05)。Pearson相关分析显示,除高度房室传导阻滞(r=0.060,P>0.05)外,LHR与恶性室性心律失常(r=0.121)、心源性休克和死亡(r=0.115)均显著相关(P<0.05)。多因素Logistic回归分析显示,LHR、空腹血糖是STEMI患者发生院内MACE的独立危险因素(P均<0.05)。ROC曲线显示LHR预测STEMI患者院内MACE的曲线下面积为0.606(95%CI:0.544~0.668),cut-off值为2.854,敏感度为80.6%,特异度为52.1%;LHR>2.854时STEMI住院患者很可能会发生MACE。结论:STEMI患者LHR升高与恶性室性心律失常、心源性休克及死亡发生呈正相关。LHR是STEMI患者发生MACE的独立危险因素,对恶性室性心律失常、心源性休克及死亡发生有一定的预测价值。
文摘Background: Workers’ health condition is an important issue. It affects not only the well-being of workers but also the firms and society as a whole through medical costs and productivity losses due to absenteeism and presenteeism. Data and Methods: Data were obtained from 1136 employees at an operational site of a large corporation. The dataset contained both medical checkups and working record information. Health factors affecting long-term absence (over three days in three months) were analyzed. Logistic regression models and the procedure for selecting proper covariates based on likelihood test statistics and the Akaike information criterion were used. Results: Among health factors, high-density lipoprotein cholesterol (HDL-C) and blood sugar levels were important in the selected model. For HDL-C, the odds ratio (OR) based on one standard deviation difference was 0.75 with a 95% confidence interval (CI) of 0.59 - 0.95. For blood sugar, the OR was 1.20 with a 95% CI of 1.01 - 1.42. Improving HDL-C and blood sugar levels would reduce long-term absence by 25% and 20%, respectively. Conclusion: Controlling HDL-C and blood sugar levels is important to reduce long-term absenteeism. These factors can be improved by modifying eating habits. Since the operational site has its own company cafeterias, which most employees use, nutritional intervention is relatively easy with little or no cost. It may be worthwhile to implement nutritional intervention, especially for patients with low HDL-C or high blood sugar levels. Limitations: The results of this study were based on one operational site of a corporation. The employees were mainly operators working inside the building. The results may be different from other types of jobs and working conditions, such as fieldwork. Analyses of different types of jobs and working conditions are necessary.
