scholarly journals Evaluation of the influence of air pollution on the number of hospital admissions for acute coronary syndrome in elderly patients (BIA – ACS Registry)

Author(s):  
Łukasz Kuźma ◽  
Szymon Pogorzelski ◽  
Krzysztof Struniawski ◽  
Sławomir Dobrzycki ◽  
Hanna Bachórzewska-Gajewska
2005 ◽  
Vol 14 (2) ◽  
pp. 157-164 ◽  
Author(s):  
Halim Işsever ◽  
Rian Dişçi ◽  
Bilge Hapcioglu ◽  
Sezai Vatansever ◽  
M. Akif Karan ◽  
...  

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
B Narasimhan ◽  
K Ho ◽  
L Wu ◽  
M Amreia ◽  
A Isath ◽  
...  

Abstract Background The obesity paradox – indicating improved short term mortality in obese individuals has been widely explored in a number of cardiovascular conditions. However, its validity in an elderly population and the possible physiological impact of aging on this phenomenon in Acute Coronary syndrome (ACS) remain unclear. In this study, we aim to determine the relationship between obesity and in-hospital mortality, morbidity, and health care resource utilization in this cohort of patients. Methods A retrospective study was conducted using the AHRQ-HCUP National Inpatient Sample for the year 2014. Elderly adults (≥65 years) with a principal diagnosis of ACS and a secondary diagnosis of obesity were identified using ICD-9 diagnosis codes as described in the literature. The primary outcome of in-hospital mortality and secondary outcomes like length of hospital stay (LOS), and total hospitalization costs were analyzed. Propensity score (PS) using the next neighbor method without replacement with 1:1 matching was utilized to adjust for confounders. Independent risk factors for mortality were identified using a multivariate logistic regression model. Results In total, 1,137,108 hospital admissions with a primary diagnosis of ACS were identified, of which 7.46% were obese. In-hospital morality during the index admission was lower among obese patients with ACS compared to non-obese patients (4.62 vs 6.87%, p<0.001) with significantly lower 30-day readmission rates as well (p<0.001). However, in-hospital mortality rates during readmission were statistically equivalent between the obese and non-obese groups (5.6 vs 8.3%, p=0.72). LOS during the index admission was longer for obese patients (6.39 vs 5.36 days, p=0.65) but equivalent to non-obese patients during subsequent readmissions (p=0.12). The total cost of these admissions was significantly more in the obese cohort as well (p<0.001). Conclusion In this study, obese elderly patients admitted with ACS were found to have significantly reduced in-hospital mortality and 30-day readmission rates when compared to non-obese patients - reinforcing the obesity paradox independent of patient age. Funding Acknowledgement Type of funding source: None


Cor et Vasa ◽  
2018 ◽  
Vol 60 (1) ◽  
pp. e66-e69
Author(s):  
Klára Stašková ◽  
Petr Toušek ◽  
František Toušek ◽  
Anna Malá ◽  
Michael Želízko ◽  
...  

2011 ◽  
Vol 64 (10) ◽  
pp. 853-861 ◽  
Author(s):  
Iñaki Villanueva-Benito ◽  
Itziar Solla-Ruíz ◽  
Emilio Paredes-Galán ◽  
Óscar Díaz-Castro ◽  
Francisco E. Calvo-Iglesias ◽  
...  

Open Heart ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e001645
Author(s):  
Ayman Helal ◽  
Lamis Shahin ◽  
Mahmoud Abdelsalam ◽  
Mokhtar Ibrahim

BackgroundThe COVID-19 pandemic has disrupted healthcare systems across the world. The rate of acute coronary syndrome (ACS) admissions during the pandemic has varied significantly.ObjectivesThe purpose of this study is to investigate the effect of the pandemic on ACS hospital admissions and to determine whether this is related to the number of COVID-19 cases in each country.MethodSearch engines including PubMed, Embase, Ovid and Google Scholar were searched from December 2019 to the 15 September 2020 to identify studies reporting ACS admission data during COVID-19 pandemic months in 2020 compared with 2019 admissions.ResultsA total of 40 studies were included in this multistudy analysis. They demonstrated a 28.1% reduction in the rate of admission with ACS during the COVID-19 pandemic period compared with the same period in 2019 (total of 28 613 patients in 2020 vs 39 225 in 2019). There was a significant correlation between the absolute risk reduction in the total number of ACS cases and the number of COVID-19 cases per 100 000 population (Pearson correlation=0.361 (p=0.028)). However, the correlation was not significant for each of the ACS subgroups: non-ST-elevation myocardial infarction (STEMI) (p=0.508), STEMI (p=0883) and unstable angina (p=0.175).ConclusionThere was a significant reduction in the rate of ACS admission during the COVID-19 pandemic period compared with the same period in 2019 with a significant correlation with COVID-19 prevalence.


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