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气象条件和空气污染对一氧化碳中毒发病率的影响:中国北方的一项回顾性分析

Impact of meteorological conditions and air pollution on the incidence of carbon monoxide poisoning: a retrospective analysis in northern China.

作者信息

Ma Rui, Xia Xiaoshuang, Xue Juanjuan, Yao Yongyuan, Xin Aihua, Song Shuli, Wang Lin, Li Xin

机构信息

Department of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, China.

Department of Neurology, Juxian People's Hospital, Rizhao, China.

出版信息

BMC Public Health. 2025 Jun 10;25(1):2155. doi: 10.1186/s12889-025-23403-x.

Abstract

BACKGROUND

Carbon monoxide (CO) poisoning remains a critical public health issue, particularly in residential settings during colder months when heating practices can lead to indoor CO accumulation. The relationship between meteorological conditions, air pollutants, and CO poisoning remains poorly understood. This study aims to investigate the impact of weather factors and air pollution on the incidence of CO poisoning, with a focus on identifying risk factors associated with severe outcomes such as coma.

METHODS

We conducted a retrospective study of CO poisoning cases in a northern Chinese urban area, categorizing patients into coma and non-coma groups. We analyzed clinical characteristics, including age, gender, comorbidities, time of hospital admission, and severity of poisoning. Meteorological data, including temperature, relative humidity, wind speed, and 24-hour temperature changes, as well as air quality indices (AQI), concentrations of CO, NO₂, SO₂, O₃, PM2.5, and PM10, were collected and analyzed for their correlation with CO poisoning incidence.

RESULTS

The investigation revealed significant correlations between CO poisoning and patient characteristics and environmental factors. Notably, patients in the coma group were significantly older (P = 0.003) and predominantly presented at the hospital between 6:00 AM and 11:59 AM. Atmospheric CO concentration emerged as a critical risk factor, demonstrating nearly a twofold increase in poisoning risk per 1 mg/m³ increment (OR = 2.001, 95% CI: 1.105-3.622). Meteorological parameters exhibited complex interactions with poisoning susceptibility: mean temperature showed a pronounced protective effect (OR = 0.893, 95% CI: 0.873-0.914, P < 0.001), with each unit decrease corresponding to a 10.7% increase in risk. Temperature dynamics further amplified this risk, with 24-hour temperature fluctuations significantly increasing poisoning susceptibility by 25.7% per unit change (OR = 1.257, 95% CI: 1.174-1.344, P < 0.001), underscoring the multifaceted nature of environmental influences on CO poisoning occurrence.

CONCLUSIONS

Older age and faster hospital admission are associated with more severe CO poisoning outcomes. Meteorological and environmental pollutant factors, including low temperatures, 24-hour temperature fluctuations and elevated CO concentrations, increase the risk of CO poisoning.Public health interventions, such as safety education, improved ventilation, install CO concentration alarm and early warnings during extreme weather, could significantly reduce the incidence of CO poisoning, particularly in colder months with adverse meteorological conditions.

摘要

背景

一氧化碳(CO)中毒仍然是一个关键的公共卫生问题,尤其是在较寒冷的月份,居民住宅中取暖方式可能导致室内CO积聚。气象条件、空气污染物与CO中毒之间的关系仍知之甚少。本研究旨在调查天气因素和空气污染对CO中毒发生率的影响,重点是确定与昏迷等严重后果相关的危险因素。

方法

我们对中国北方某城市地区的CO中毒病例进行了回顾性研究,将患者分为昏迷组和非昏迷组。我们分析了临床特征,包括年龄、性别、合并症、入院时间和中毒严重程度。收集并分析了气象数据,包括温度、相对湿度、风速和24小时温度变化,以及空气质量指数(AQI)、CO、NO₂、SO₂、O₃、PM2.5和PM10的浓度,以研究它们与CO中毒发生率的相关性。

结果

调查发现CO中毒与患者特征和环境因素之间存在显著相关性。值得注意的是,昏迷组患者年龄明显较大(P = 0.003),且主要在上午6:00至11:59之间入院。大气CO浓度是一个关键危险因素,每增加1mg/m³,中毒风险几乎增加一倍(OR = 2.001,95%CI:1.105 - 3.622)。气象参数与中毒易感性表现出复杂的相互作用:平均温度显示出显著的保护作用(OR = 0.893,95%CI:0.873 - 0.914,P < 0.001),每降低一个单位,风险增加10.7%。温度动态变化进一步放大了这种风险,24小时温度波动每单位变化使中毒易感性显著增加25.7%(OR = 1.257,95%CI:1.174 - 1.344,P < 0.001),强调了环境对CO中毒发生影响的多面性。

结论

年龄较大和入院较快与更严重的CO中毒后果相关。气象和环境污染物因素,包括低温、24小时温度波动和CO浓度升高,会增加CO中毒风险。公共卫生干预措施,如安全教育、改善通风、安装CO浓度报警器以及在极端天气期间发布预警等,可显著降低CO中毒发生率,尤其是在气象条件不利的较寒冷月份。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be84/12150491/fdef7b3d6f9d/12889_2025_23403_Fig1_HTML.jpg

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