中华流行病学杂志
中華流行病學雜誌
중화류행병학잡지
CHINESE JOURNAL OF EPIDEMIOLOGY
2013年
1期
67-70
,共4页
夏文芳%唐其柱%于胜波%崔红营%秦牧%刘韬%孔彬%赵庆彦%黄鹤
夏文芳%唐其柱%于勝波%崔紅營%秦牧%劉韜%孔彬%趙慶彥%黃鶴
하문방%당기주%우성파%최홍영%진목%류도%공빈%조경언%황학
慢性收缩性心力衰竭%气温%入院风险
慢性收縮性心力衰竭%氣溫%入院風險
만성수축성심력쇠갈%기온%입원풍험
Chronic systolic heart failure%Temperature%Hospital admission
目的 探讨气温变化对慢性收缩性心力衰竭(CSHF)住院患者例数的影响.方法 回顾性调查湖北地区12家医院2000年1月1日至2010年5月31日期间住院心衰患者48 964例.单因素和多因素logistic回归分析不同月份患者入院风险.结果 (1)与月平均住院人数(391.71人次/月)相比,1-12月分别增加18.71%、13.84%、-21.90%、-34.62%、-21.97%、-3.81%、-2.04%、10.13%、-17.13%、-0.85%、21.54%和42.70%.(2)女性患者1、2和12月与8月相比住院风险的差异无统计学意义[OR值及其95%CI分别为1.09(0.96~ 1.23)、0.98(0.84~1.10)和0.96(0.84~1.08),P值均>0.05],而男性患者同期相比住院风险显著降低[OR值及其95%CI分别为0.61 (0.54~0.69)、0.80(0.68 ~ 0.92)和0.73(0.64~0.83),P值均<0.01].(3)气温降低对冠心病、高血压性心脏病和风湿性瓣膜病的CSHF患者,其入院风险更大,而扩张型心肌病患者则相反.(4)气温变化对不同职业患者入院风险存在差异.结论 CSHF患者入院风险与气温变化密切相关.与年均气温相差越大的月份,患者入院风险相对越高,且入院风险的影响在不同性别、病因和职业存在差异.
目的 探討氣溫變化對慢性收縮性心力衰竭(CSHF)住院患者例數的影響.方法 迴顧性調查湖北地區12傢醫院2000年1月1日至2010年5月31日期間住院心衰患者48 964例.單因素和多因素logistic迴歸分析不同月份患者入院風險.結果 (1)與月平均住院人數(391.71人次/月)相比,1-12月分彆增加18.71%、13.84%、-21.90%、-34.62%、-21.97%、-3.81%、-2.04%、10.13%、-17.13%、-0.85%、21.54%和42.70%.(2)女性患者1、2和12月與8月相比住院風險的差異無統計學意義[OR值及其95%CI分彆為1.09(0.96~ 1.23)、0.98(0.84~1.10)和0.96(0.84~1.08),P值均>0.05],而男性患者同期相比住院風險顯著降低[OR值及其95%CI分彆為0.61 (0.54~0.69)、0.80(0.68 ~ 0.92)和0.73(0.64~0.83),P值均<0.01].(3)氣溫降低對冠心病、高血壓性心髒病和風濕性瓣膜病的CSHF患者,其入院風險更大,而擴張型心肌病患者則相反.(4)氣溫變化對不同職業患者入院風險存在差異.結論 CSHF患者入院風險與氣溫變化密切相關.與年均氣溫相差越大的月份,患者入院風險相對越高,且入院風險的影響在不同性彆、病因和職業存在差異.
목적 탐토기온변화대만성수축성심력쇠갈(CSHF)주원환자례수적영향.방법 회고성조사호북지구12가의원2000년1월1일지2010년5월31일기간주원심쇠환자48 964례.단인소화다인소logistic회귀분석불동월빈환자입원풍험.결과 (1)여월평균주원인수(391.71인차/월)상비,1-12월분별증가18.71%、13.84%、-21.90%、-34.62%、-21.97%、-3.81%、-2.04%、10.13%、-17.13%、-0.85%、21.54%화42.70%.(2)녀성환자1、2화12월여8월상비주원풍험적차이무통계학의의[OR치급기95%CI분별위1.09(0.96~ 1.23)、0.98(0.84~1.10)화0.96(0.84~1.08),P치균>0.05],이남성환자동기상비주원풍험현저강저[OR치급기95%CI분별위0.61 (0.54~0.69)、0.80(0.68 ~ 0.92)화0.73(0.64~0.83),P치균<0.01].(3)기온강저대관심병、고혈압성심장병화풍습성판막병적CSHF환자,기입원풍험경대,이확장형심기병환자칙상반.(4)기온변화대불동직업환자입원풍험존재차이.결론 CSHF환자입원풍험여기온변화밀절상관.여년균기온상차월대적월빈,환자입원풍험상대월고,차입원풍험적영향재불동성별、병인화직업존재차이.
Objective To investigate the effect of temperature on hospital admission among patients with chronic systolic heart failure (CSHF).Methods Data regarding in-hospital patients with CSHF were gathered from 12 hospitals in Hubei province,between 2000 and 2010.Patients with a history of congenital heart disease and the history of cancer from this series,were excluded.Chisquare (x2) tests and t tests were used for descriptive analysis.Univariate and multivariate logistic regression methods were performed to determinate the risk of hospital admission of every month to compare with the previous one.We used 2-tailed 95% confidence interval (CI),and tests with P<0.01 to consider the significant levels,statistically.We also used the SPSS 13.0 for Windows,release 15,2006 (SPSS Inc,Chicago,Ill) for data analysis.Results (1) 48 964 patients were enrolled in the present study.The numbers of admission increased 18.71%,13.84%,-21.90%,-34.62%,-21.97%,-3.81%,-2.04%,10.13%,-17.13%,-0.85%,21.54% and 42.70% from January to December when compared to the average number of admission.(2) The odds ratios (ORs) (95% CI,P values) of hospital admission in January,February and December were 1.09 (0.96-1.23,0.54),0.98 (0.84-1.10,0.46) and 0.96 (0.84-1.08,0.59),respectively in females which did not show any significant differences when compared to the number in August.However the ratios were 0.61 (0.54-0.69,<0.01),0.80 (0.68-0.92,<0.01) and 0.73 (0.64-0.83,<0.01),respectively,in males that showed significant differences when,compared to the figures in August.(3) The OR of admission increased more when temperature got lower for patients with coronary artery disease,hypertension heart disease or rheumatic heart disease,but not with dilated cardiomyopathy.(4)The OR of admission showed a different impact on patients with different occupation,along with the change of temperature.Low or high temperature did not seem to have different effects on the OR of admission in patients who were free lancers or unemployed.Conclusion Temperature seemed to have significant effects on the risk of admission,which related to gender,etiology or occupation.