酒精摄入量与新发胆石症关系的多中心回顾性研究(附77 755例报告)

Relationship between alcohol consumption and new-onset cholelithiasis: a multicentre retrospective study (A report of 77 755 cases)

  • 摘要: 目的:探讨不同酒精摄入量与新发胆石症的关系。
    方法:采用回顾性队列研究方法。收集2006年7月至2015年12月华北理工大学附属开滦总医院、开滦林西医院、开滦赵各庄医院、开滦唐家庄医院、开滦范各庄医院、开滦吕家坨医院、开滦荆各庄医院、开滦林南仓医院、开滦钱家营医院、开滦马家沟医院、开滦医院分院行健康体检的77 755例受试者的体检资料。依据文献对饮酒量的定义将受试者分为5组,50 695例受试者不饮酒设为不饮酒组;3 154例受试者饮酒后戒断时间≥1年设为饮酒已戒组;12 410例受试者满足轻度饮酒量的标准设为轻度饮酒组;1 606例受试者满足中度饮酒量的标准设为中度饮酒组;9 890例受试者满足重度饮酒量标准设为重度饮酒组。由固定医师团队于2006、2008、2010、2012、2014年在相同地点按相同健康体检顺序对受试者进行5次健康体检。收集流行病学调查内容、人体测量学指标、生化指标。观察指标:(1)5组受试者的临床特征比较。(2)受试者胆石症的发病情况。(3)影响受试者新发胆石症的危险因素。(4)饮酒对新发胆石症模型拟合程度的比较。正态分布的计量资料以±s表示,多组间比较采用单因素方差分析;两两比较,方差齐采用LSD检验,方差不齐采用Dunnett′s T3检验。偏态分布的计量资料采用M(Q)表示,多组间比较采用秩和检验。计数资料比较采用x2检验。采用Kaplan-Meier法计算胆石症的累积发病率,胆石症发病率的组间比较采用Log-rank检验。采用COX比例风险模型分析不同酒精摄入量对新发胆石症的风险比(HR)和95%可信区间(CI)。使用似然比检验和赤池信息量准则(AIC)计算饮酒对于新发胆石症模型拟合情况的影响。
    结果:(1)5组受试者的临床特征比较:不饮酒组受试者的性别(男性)、年龄、收缩压、舒张压、体质量指数(BMI)、总胆固醇(TC)、甘油三酯(TG)、空腹血糖、腰围,糖尿病、高血压病、吸烟、体育锻炼人数分别为33 406例、(51±12)岁、(130±21)mmHg(1 mmHg=0.133 kPa)、(83±12)mmHg、(25±4)kg/m2、(4.93±1.13)mmol/L、1.26 mmol/L(0.90~1.88 mmol/L)、(5.5±1.7)mmol/L、(86±10)cm、4 538例、21 773例、5 873例、6 140例;饮酒已戒组分别为3 077例、(56±12)岁、(134±22)mmHg、(85±12)mmHg、(25±3)kg/m2、(4.93±1.21)mmol/L、1.29 mmol/L(0.91~1.90 mmol/L)、(5.6±1.8)mmol/L、(89±9)cm、420例、1 652例、856例、856例;轻度饮酒组分别为11 859例、(46±12)岁、(127±19)mmHg、(82±11)mmHg、(25±3)kg/m2(4.89±1.15)mmol/L、1.30 mmol/L(0.89~2.01 mmol/L)、(5.4±1.4)mmol/L、(87±9)cm、891例、4 294例、2 186例、2 186例;中度饮酒组分别为1 585例、(58±11)岁、(134±22)mmHg、(84±11)mmHg、(25±3)kg/m2、(5.06±1.21)mmol/L、1.23 mmol/L(0.85~1.82 mmol/L)、(5.5±1.7)mmol/L、(88±9)cm、159例、762例、591例、591例;重度饮酒组分别为9 868例、(52±9)岁、(135±21)mmHg、(86±12)mmHg、(25±3)kg/m2、(5.18±1.21)mmol/L、1.36 mmol/L(0.92~2.19 mmol/L)、(5.5±1.5)mmol/L、(88±9)cm、819例、4 900例、2 183例、2 183例;5组上述指标比较,差异均有统计学意义(x2=9 989.71,F=869.28,F=254.13,195.97,27.52,112.63,H(x2)=154.09,F=11.92,63.37, x2=128.17,656.31,23 561.80,656.31,P<0.05)。(2)受试者胆石症的发病情况:77 755例受试者在(6.8±2.1)年的观察研究中,新发胆石症3 757例,累积发病率为4.5%。不饮酒组、饮酒已戒组、轻度饮酒组、中度饮酒组、重度饮酒组的胆石症累积发病率分别为5.1%、4.9%、3.7%、3.4%和3.3%,5组比较,差异有统计学意义(x2=83.14,P<0.05)。不饮酒组分别与饮酒已戒组、轻度饮酒组、中度饮酒组、重度饮酒组比较,差异均有统计学意义(x2=18.34,40.58,45.41,48.44,P<0.05)。饮酒已戒组分别与轻度饮酒组、中度饮酒组、重度饮酒组比较,差异均有统计学意义(x2=18.72,20.47,25.41,P<0.05)。轻度饮酒组分别与中度饮酒组、重度饮酒组比较,差异均有统计学意义(x2=8.47,12.41,P<0.05)。中度饮酒组与重度饮酒组比较,差异无统计学意义(x2=0.85,P>0.05)。(3)影响受试者新发胆石症的危险因素分析,COX比例风险模型分析结果显示:校正受试者性别、年龄、TC、TG、BMI、高血压病、糖尿病、吸烟、体育锻炼因素对新发胆石症的影响后,与不饮酒组比较,轻度饮酒组、中度饮酒组、重度饮酒组新发胆石症的风险降低(HR=0.88,0.82,0.73,95%CI:0.79~0.98,0.76~0.89,0.64~0.83,P<0.05)。(4)饮酒对新发胆石症模型拟合程度的比较:建立多因素模型,将性别、年龄、BMI、TG、TC、高血压病、糖尿病、吸烟、体育锻炼等胆石症传统危险因素共同带入模型中,计算此时模型的-2Log L和AIC值,分别为76 331.83和76 353.83。而后将饮酒变量带入多因素模型,计算多因素模型+饮酒模型的-2Log L和AIC值,分别为76 307.86和76 337.86,差异有统计学意义(x2=23.97,P<0.05)。
    结论:饮酒是新发胆石症的独立保护因素,随着酒精摄入量的增加,胆石症的发病风险呈降低趋势。

     

    Abstract: Objective:To explore the relationship between alcohol consumption and new-onset cholelithiasis.
    Methods:The retrospective cohort study was conducted. The data of 77 755 participants who participated health examination at the Kailuan General Hospital, Kailuan Linxi Hospital, Kailuan Zhaogezhuang Hospital, Kailuan Tangjiazhuang Hospital, Kailuan Fan′gezhuang Hospital, Kailuan Lyujiatuo Hospital, Kailuan Jinggezhuang Hospital, Kailuan Linnancang Hospital, Kailuan Qianjiaying Hospital, Kailuan Majiagou Hospital and Kailuan Branch Hospital from June 2006 to December 2015 were collected. According to definition of alcohol consumption from literature, all the 77 755 participants were allocated into the 5 groups, including 50 695 with never drinking in the never group, 3 154 with alcohol withdrawal time≥1 year in the past group, 12 410 with light drinking in the light group, 1 606 with moderate drinking in the moderate group and 9 890 with heavy drinking in the heavy group. All participants received the same-order health examinations by the fixed team of doctors in 2006, 2008, 2010, 2012 and 2014 at the same place. Epidemiological investigation, anthropometric parameters and biochemical indicators were collected. Observation indicators: (1) comparisons of clinical characteristics among the 5 groups; (2) incidence of cholelithiasis; (3) risk factors analysis affecting new-onset cholelithiasis; (4) comparisons of the fitting degree of alcohol consumption on new-onset cholelithiasis model. Measurement data with normal distribution were represented as ±s, and comparisons among groups were analyzed using the one-way ANOVA. The pairwise comparison and homogeneity of variance were done using the least significance difference (LSD) test. Heterogeneity of variance was analyzed by the Dunnett′s T3 test. Measurement data with skewed distribution were described as M (Q), and comparisons among groups were analyzed using the rank sum test. Comparisons of count data were analyzed using chi-square test. The cumulative incidence of new-onset cholelithiasis was calculated by the Kaplan-Meier method, and comparisons of incidences among groups were done by the Log-rank test. The hazard ratio (HR) and 95% confidence interval (CI) of different intakes of alcohol on new-onset cholelithiasis were estimated by the COX proportional hazards regression models. The fitting degree of alcohol consumption on new-onset cholelithiasis model was calculated by the likelihood ratio test and akaike information criterion (AIC).
    Results:(1) Comparisons of clinical characteristics among the 5 groups: male, age, systolic pressure, diastolic pressure, body mass index (BMI), total cholesterol (TC), triglyceride (TG), fasting plasma glucose (FPG) and waistline and cases with diabetes, hypertension, smoking and physical exercise were respectively 33 406, (51±12)years, (130±21)mmHg (1mmHg=0.133 kPa), (83±12)mmHg, (25±4)kg/m2, (4.93±1.13)mmol/L, 1.26 mmol/L (0.90-1.88 mmol/L), (5.5±1.7)mmol/L, (86±10) cm, 4 538, 21 773, 5 873, 6 140 in the never group and 3 077, (56±12)years, (134±22)mmHg, (85±12)mmHg, (25±3)kg/m2, (4.93±1.21)mmol/L, 1.29 mmol/L (0.91-1.90 mmol/L), (5.6±1.8)mmol/L, (89±9)cm, 420, 1 652, 856, 856 in the past group and 11 859, (46±12)years, (127±19)mmHg, (82±11)mmHg, (25±3)kg/m2, (4.89±1.15)mmol/L, 1.30 mmol/L (0.89-2.01 mmol/L), (5.4±1.4)mmol/L, (87±9)cm, 891, 4 294, 2 186, 2 186 in the light group and 1 585, (58±11)years, (134±22)mmHg, (84±11)mmHg, (25±3)kg/m2, (5.06±1.21)mmol/L, 1.23 mmol/L (0.85-1.82 mmol/L), (5.5±1.7)mmol/L, (88±9)cm, 159, 762, 591, 591 in the moderate group and 9 868, (52±9)years, (135±21)mmHg, (86±12)mmHg, (25±3)kg/m2, (5.18±1.21)mmol/L, 1.36 mmol/L (0.92-2.19 mmol/L), (5.5±1.5)mmol/L, (88±9)cm, 819, 4 900, 2 183, 2 183 in the heavy group, showing statistically significant differences among groups [x2=9 989.71, F=869.28, F=254.13, 195.97, 27.52, 112.63, H(x2)=154.09, F=11.92, 63.37, x2=128.17, 656.31, 23 561.80, 656.31, P<0.05]. (2) Incidence of cholelithiasis: all 77 755 participants were observed for (6.8±2.1)years, 3 757 were diagnosed as new-onset cholelithiasis, with a cumulative incidence of new-onset cholelithiasis of 4.5%. The cumulative incidences of new-onset cholelithiasis in the never, past, light, moderate and heavy groups were respectively 5.1%, 4.9%, 3.7%, 3.4% and 3.3%, showing a statistically significant difference among groups (x2=83.14, P<0.05). The cumulative incidence of new-onset cholelithiasis in the never group was significantly different from that in the past, light, moderate and heavy groups (x2=18.34, 40.58, 45.41, 48.44, P<0.05). The cumulative incidence of new-onset cholelithiasis in the past group was significantly different from that in the light, moderate and heavy groups (x2=18.72, 20.47, 25.41, P<0.05). There were statistically significant differences in the cumulative incidence of new-onset cholelithiasis among the light, moderate and heavy groups (x2=8.47, 12.41,P<0.05) and no statistically significant difference between the moderate and heavy groups (x2=0.85, P>0.05). (3) Risk factors analysis affecting new-onset cholelithiasis: results of COX proportional hazards regression models showed that risks of new-onset cholelithiasis in the light, moderate and heavy groups were reduced compared with never group after adjustment of gender, age, TC, TG, BMI, hypertension, diabetes, smoking and physical exercise (HR=0.88, 0.82, 0.73, 95%CI: 0.79-0.98, 0.76-0.89, 0.64-0.83, P<0.05). (4) Comparisons of the fitting degree of alcohol consumption on new-onset cholelithiasis model: multivariate model was constructed after adding risk factors of gender, age, BMI, TG, TC, hypertension, diabetes mellitus, smoking and physical exercise, and -2Log L and AIC were 76 331.83 and 76 353.83 for the multivariate model. Then drinking variable was added into multivariate model, and the -2Log L and AIC of the multivariate model+drinking model were 76 307.86 and 76 337.86, respectively, with statistically significant differences (x2=23.97, P<0.05).
    Conclusion:Alcohol consumption is an independent protective factor for new-onset cholelithiasis, and the risk of cholelithiasis is decreased with increasing alcohol intake.

     

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