BACKGROUND: Although the seasonal variation and the effect of cold temperature on heart failure (HF) morbidity have been well documented, it is unknown whether the temperature variation within a day, that is, diurnal temperature range (DTR), is an independent risk factor for HF. We hypothesized that large DTR might be a source of additional environmental stress and, therefore, a risk factor for HF exacerbation. We aimed to test the association between DTR and HF hospitalization and to examine the effect modifiers, such as age, sex, and season. METHODS AND RESULTS: We collected daily meteorologic data and emergency HF hospital admissions from 2000 to 2007 in Hong Kong. We used Poisson regression models to fit the relationship between daily DTR and emergency HF hospitalizations, after adjusting for the time trend, seasonality, mean temperature, humidity, and levels of outdoor air pollution. We confirmed the seasonal variation of HF with peak hospital admissions in winter in Hong Kong. The adverse effects of DTR on emergency HF admissions were observed on the current day and lasted for the following several days. Every 1°C increase of DTR at lag0 corresponded to 0.86% (95% confidence interval, 0.31%-1.43%) increment of emergency hospital admissions for HF. DTR exhibited significantly greater effect in the cool season, and on female and elderly patients. CONCLUSIONS: Greater temperature change within a day was associated with increased emergency hospital admissions for HF. Health policymakers and hospitals may want to take into account the increased demand of specific facilities for susceptive population in winter with greater daily temperature variations.
BACKGROUND: Although the seasonal variation and the effect of cold temperature on heart failure (HF) morbidity have been well documented, it is unknown whether the temperature variation within a day, that is, diurnal temperature range (DTR), is an independent risk factor for HF. We hypothesized that large DTR might be a source of additional environmental stress and, therefore, a risk factor for HF exacerbation. We aimed to test the association between DTR and HF hospitalization and to examine the effect modifiers, such as age, sex, and season. METHODS AND RESULTS: We collected daily meteorologic data and emergency HF hospital admissions from 2000 to 2007 in Hong Kong. We used Poisson regression models to fit the relationship between daily DTR and emergency HF hospitalizations, after adjusting for the time trend, seasonality, mean temperature, humidity, and levels of outdoor air pollution. We confirmed the seasonal variation of HF with peak hospital admissions in winter in Hong Kong. The adverse effects of DTR on emergency HF admissions were observed on the current day and lasted for the following several days. Every 1°C increase of DTR at lag0 corresponded to 0.86% (95% confidence interval, 0.31%-1.43%) increment of emergency hospital admissions for HF. DTR exhibited significantly greater effect in the cool season, and on female and elderly patients. CONCLUSIONS: Greater temperature change within a day was associated with increased emergency hospital admissions for HF. Health policymakers and hospitals may want to take into account the increased demand of specific facilities for susceptive population in winter with greater daily temperature variations.
Entities:
Keywords:
diurnal temperature range; emergency hospital admission; heart failure; temperature variation; time series study
Authors: Shan Zheng; Minzhen Wang; Bei Li; Shigong Wang; Shilin He; Ling Yin; Kezheng Shang; Tanshi Li Journal: Int J Environ Res Public Health Date: 2016-04-27 Impact factor: 3.390
Authors: Yuming Guo; Antonio Gasparrini; Ben G Armstrong; Benjawan Tawatsupa; Aurelio Tobias; Eric Lavigne; Micheline de Sousa Zanotti Stagliorio Coelho; Xiaochuan Pan; Ho Kim; Masahiro Hashizume; Yasushi Honda; Yue Leon Guo; Chang-Fu Wu; Antonella Zanobetti; Joel D Schwartz; Michelle L Bell; Ala Overcenco; Kornwipa Punnasiri; Shanshan Li; Linwei Tian; Paulo Saldiva; Gail Williams; Shilu Tong Journal: Environ Health Perspect Date: 2016-06-03 Impact factor: 9.031