Effect of environment and season on acute decompensated heart failure: Data from low-to middle-income country

Singh, Bhupinder; Mittal, Ankit; Goyal, Abhishek; Singh, Gagandeep; Sondh, Mandeep Singh; Chauhan, Ritvik; Tandon, Rohit; Chhabra, Shibba Takkar; Aslam, Naved; Mohan, Bishav; Wander, Gurpreet Singh

doi:10.1016/j.ihj.2022.07.006

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…22 In addition, during the cold season, hypothermia causes vasoconstriction, which increases the cardiac load, and may likewise lead to HF failure. 23 Moreover, most HF patients are admitted to hospital because of decompensated HF. Furthermore, in the cold season, residents are more willing to be less active outside because of lower temperatures, making physical function less than in the warm season, which also increases the chance of HF admission.…”

Section: Discussionmentioning

confidence: 99%

“…It has been shown that as the temperature decreases, the hemodynamic state activates because of stress as well as neurohumoral activation, which may exacerbate HF, induce other cardiac diseases, and further increase the risk of HF loss of compensation 22 . In addition, during the cold season, hypothermia causes vasoconstriction, which increases the cardiac load, and may likewise lead to HF failure 23 . Moreover, most HF patients are admitted to hospital because of decompensated HF.…”

Section: Discussionmentioning

confidence: 99%

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Time Series Analysis of the Acute Effect of Atmospheric Fine Particulate Matter on Hospitalization for Heart Failure in Lanzhou, China

Zhang

Ling

et al. 2023

J Occup Environ Med

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The purpose of this study was to investigate the correlation between environmental PM 2.5 and heart failure (HF) hospitalization in Lanzhou, China. Method: The correlation between atmospheric PM 2.5 and HF hospitalization was evaluated using a distributed lag nonlinear model. Result: During the study period, 16,122 HF patients were hospitalized. The average concentration of PM 2.5 is 45.24 μg/m 3 . PM 2.5 was positively correlated with HF hospitalization with single lag (lag0) and cumulative lag (lag01, lag02, lag03). The maximum lag effect is estimated to occur in lag03, and with the PM 2.5 concentration increasing by 10 μg/m 3 , HF hospitalization risk increased by 1.023 (95% confidence interval, 1.006-1.039). The risk of hospitalization for HF in the male group, the age group 65 years or older, and the cold season was statistically significant and more positively correlated. Conclusion: PM 2.5 exposure increases the risk of HF admission in Lanzhou.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Time Series Analysis of the Acute Effect of Atmospheric Fine Particulate Matter on Hospitalization for Heart Failure in Lanzhou, China

Zhang

Ling

et al. 2023

J Occup Environ Med

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Forecasting heart failure: Seasonal alignment of heart failure outcomes in New York

Gupta,

Brinza,

Khazanie

et al. 2024

ESC Heart Failure

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BackgroundSeasonal variations have been observed in heart failure (HF) hospitalization. Numerous explanatory mechanisms have been proposed, but no prior studies have examined potential contributors directly. Our objective was to identify specific factors that could contribute to seasonal variability using a large longitudinal dataset of HF hospitalizations.MethodsHospital discharge data were obtained for all hospitals in the state of New York from 1994 to 2007. Records with a primary diagnosis of HF by the International Classification of Diseases‐9 Clinical Modification (ICD‐9‐CM) code (428.xx and 425.xx) were included. Year and month of admission were used as predictors to evaluate outcomes of in‐hospital mortality, population‐adjusted daily rate of hospital admissions and length of stay (LOS) using univariable regression including a sinusoidal model to assess the seasonality of HF outcomes. Observations were then adjusted for multiple medical covariables as well as the average local monthly temperature and humidity at each hospital using data from the Global Historical Climate Network to identify potential modifiers of seasonal variability.ResultsAmong 949 907 records, the median age was 76 [inter‐quartile range (IQR) 65–84 years old], and the cohort was 54% female (510 945 records). The population‐adjusted rate of HF admissions per day increased by 1.1 admissions/day/year between 1994 and 2007, whereas in‐hospital mortality and LOS decreased by −0.3%/year and −0.3 days/year, respectively (P < 0.001 for all). Seasonal trends were identified for daily HF admissions (February peak, P < 0.0001), mortality (January peak, P < 0.001) and LOS (January peak, P < 0.01). Cosinor analysis revealed significant periodicity for HF admission rate (amplitude = ±0.9 admissions/day/100 000 people, P < 0.001), in‐hospital mortality (amplitude = ±0.47%, P < 0.001) and LOS (amplitude = ±0.23 days, P < 0.01). No other patient characteristics were significant modifiers of seasonality. Odds of mortality were highest in July rather than January when adjusted for average local temperature but not humidity.ConclusionsAdverse outcomes in patients hospitalized with HF were significantly worse in the winter months even when adjusted for patient characteristics and concurrent acute diagnoses such as pneumonia. Local ambient temperature was the strongest modifier of the observed seasonality. Given the increasing frequency of extreme weather events, additional work to determine the mechanisms of this and other environmental risk factors is urgently needed.

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Effect of environment and season on acute decompensated heart failure: Data from low-to middle-income country

Cited by 2 publications

References 27 publications

Time Series Analysis of the Acute Effect of Atmospheric Fine Particulate Matter on Hospitalization for Heart Failure in Lanzhou, China

Time Series Analysis of the Acute Effect of Atmospheric Fine Particulate Matter on Hospitalization for Heart Failure in Lanzhou, China

Forecasting heart failure: Seasonal alignment of heart failure outcomes in New York

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