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探讨环境温度、大气压和水蒸气压力对鼻出血发病率的影响。

Investigation of the influence of ambient temperature, atmospheric pressure and water vapour pressure on epistaxis admission rate.

机构信息

ENT Department, Royal Cornwall Hospitals NHS Trust, Truro, Cornwall, United Kingdom.

出版信息

Rhinology. 2010 Sep;48(3):348-51. doi: 10.4193/Rhino10.020.

DOI:10.4193/Rhino10.020
PMID:21038028
Abstract

BACKGROUND

To investigate the relationship between weather variables (atmospheric pressure, temperature, water vapour pressure) and epistaxis admission rates at Derriford Hospital, Plymouth, United Kingdom.

METHODOLOGY

Retrospective observational study using hospital inpatient information databases to identify all patients admitted with epistaxis from April 1999 to March 2009 inclusive. Meteorological data for the same period was retrieved from the University of Plymouth Meteorological Archive. Epistaxis admissions were investigated for correlation with weather variables using Pearson correlation, and stepwise multiple regression analysis was performed.

RESULTS

During the study period there were 1071 admissions (978 patients) (501 males (mean age 64 years) and 477 females (mean age 72 years)). Less than 10% of the variance in epistaxis admissions is explained by the maximum temperature only. Temperature and water vapour pressure demonstrated statistically significant association with epistaxis admission rates.

CONCLUSIONS

Though there is statistical significance in the association of some weather variables and epistaxis admission rates, the findings are not practically relevant (<10% variance). The results of this study do not indicate a need for revision of current healthcare resource allocation.

摘要

背景

为了研究英国普利茅斯 Derriford 医院的天气变量(大气压、温度、水蒸气压力)与鼻出血入院率之间的关系。

方法

采用回顾性观察研究方法,利用医院住院病人信息数据库,确定 1999 年 4 月至 2009 年 3 月期间所有因鼻出血入院的患者。同期的气象数据从普利茅斯大学气象档案馆中检索。使用 Pearson 相关分析和逐步多元回归分析,研究鼻出血与气象变量之间的相关性。

结果

在研究期间,共有 1071 例(978 例患者)(501 例男性(平均年龄 64 岁)和 477 例女性(平均年龄 72 岁))。仅最大温度就能解释鼻出血入院率不到 10%的方差。温度和水蒸气压力与鼻出血入院率有统计学意义的关联。

结论

尽管一些天气变量与鼻出血入院率之间存在统计学上的关联,但结果在实践中并不相关(<10%的方差)。本研究结果表明,目前医疗资源分配不需要修改。

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