| 夏文芳,唐其柱,于胜波,崔红营,秦牧,刘韬,孔彬,赵庆彦,黄鹤,黄从新.气温变化与慢性收缩性心力衰竭住院患者数量的相关分析[J].中华流行病学杂志,2013,34(1):67-70 |
| 气温变化与慢性收缩性心力衰竭住院患者数量的相关分析 |
| Effect of temperature on hospital admission among patients with chronicheart failure |
| 收稿日期:2012-10-21 出版日期:2014-09-18 |
| DOI：10.3760/cma.j.issn.0254-6450.2013.01.017 |
| 中文关键词: 慢性收缩性心力衰竭 气温 人院风险 |
| 英文关键词: systolic heart failure Temperature Hospital admission |
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| 中文摘要: |
| 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人院风险。结果(1)与月平均住院人数(391.71人次用)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% o ( 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]0(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，其人院风险更大，而扩张型心肌病患者则相反。(4)气温变化对不同职业患者人院风险存在差异。结论CSHF患者人院风险与气温变化密切相关。与年均气温相差越大的月份，患者人院风险相对越高，且入院风险的影响在不同性别、病因和职业存在差异。 |
| 英文摘要: |
| 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. Chi-square(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%，一17.13%，-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. |
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