Correlation Analysis between Hospitalization for Severe Asthma in Adults and Climate Change in a Hospital in Dalian
10.3969/j.issn.1006-2483.2024.03.026
- VernacularTitle:大连某医院成年居民重症哮喘住院情况与气候变化相关性分析
- Author:
Na PU
1
;
Ying WU
1
;
Hongwei NI
1
Author Information
1. Department of Critical Care Medicine , Dalian University Affiliated Xinhua Hospital , Dalian Liaoning 116000 , China
- Publication Type:Journal Article
- Keywords:
Severe asthma;
Hospitalization status;
Climate change;
Correlation
- From:
Journal of Public Health and Preventive Medicine
2024;35(3):111-114
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the correlation between hospitalization for severe asthma and climate change among adult residents in Dalian. Methods Clinical data of asthma inpatients in Dalian First Affiliated Hospital from January to December 2022 were collected, and assigned into severe asthma group and non-severe asthma group according to the diagnostic criteria of severe asthma. Spirometer was used for the measurement of (forced expiratory volume in the first second , FEV1) and (forced vital capacity , FVC), and the serum white blood cell count and C-reactive protein level were measured by biochemical analyzer. Meantime, meteorological parameters including monthly average temperature, relative humidity, wind speed and duration of sunshine hours were also collected. Then Spearman correlation analysis was conducted to discuss the correlation between the number of hospitalizations for severe asthma and meteorological parameters. Of the 260 asthma patients, 153 had severe asthma and 107 had non-severe asthma. There were 85 male and 68 female patients with severe asthma. The onset age distribution of severe asthma was concentrated at 60-79 years old, with 94 cases, followed by 50-59 years old (n=26). The peak time of onset in each year was from March to May, with 14, 19 and 16 cases, respectively. The secondary peak was from November to January, with 15, 18 and 13 cases, and there were fewer hospital admissions from June to October. FEV1 and FEV1/FVC values were smaller in severe asthma group than in non-severe asthma group, while the white blood cell count and C-reactive protein levels were higher than those in non severe asthma group (P<0.05). The average monthly temperature in Dalian began to rise in January, reached a peak in August, and then gradually dropped, with the lowest temperature in December. The monthly average humidity reached the peak from July to September. The monthly mean wind speed reached its peak from November to December. The monthly average sunshine reached its peak from June to September. Spearman correlation analysis denoted that the number of hospitalization for severe asthma was not correlated with average sunshine hours and wind speed (P>0.05), but was negatively correlated with average temperature and humidity (P<0.05). Conclusion The number of hospital admissions for severe asthma in Dalian varies with the seasons, therefore, early and active interventions are of great value in preventing severe asthma in months with high variations in temperature and humidity.
