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المؤلفDoi, Suhail A
المؤلفIslam, Nazmul
المؤلفSulaiman, Kadhim
المؤلفAlsheikh-Ali, Alawi A
المؤلفSingh, Rajvir
المؤلفAl-Qahtani, Awad
المؤلفAsaad, Nidal
المؤلفAlHabib, Khalid F
المؤلفAl-Zakwani, Ibrahim
المؤلفAl-Jarallah, Mohammed
المؤلفAlMahmeed, Wael
المؤلفBulbanat, Bassam
المؤلفBazargani, Nooshin
المؤلفAmin, Haitham
المؤلفAl-Motarreb, Ahmed
المؤلفAlFaleh, Husam
المؤلفPanduranga, Prashanth
المؤلفShehab, Abdulla
المؤلفAl Suwaidi, Jassim
المؤلفSalam, Amar M
تاريخ الإتاحة2019-12-15T06:42:11Z
تاريخ النشر2019-12-01
اسم المنشورJournal of the American Heart Association JAHA
المعرّفhttp://dx.doi.org/10.1161/JAHA.119.013056
معرّف المصادر الموحدhttp://hdl.handle.net/10576/12400
الملخصBackground Smoker's paradox has been observed with several vascular disorders, yet there are limited data in patients with acute heart failure (HF). We examined the effects of smoking in patients with acute HF using data from a large multicenter registry. The objective was to determine if the design and analytic approach could explain the smoker's paradox in acute HF mortality. Methods and Results The data were sourced from the acute HF registry (Gulf CARE [Gulf Acute Heart Failure Registry]), a multicenter registry that recruited patients over 10 months admitted with a diagnosis of acute HF from 47 hospitals in 7 Middle Eastern countries. The association between smoking and mortality (in hospital) was examined using covariate adjustment, making use of mortality risk factors. A parallel analysis was performed using covariate balancing through propensity scores. Of 5005 patients hospitalized with acute HF, 1103 (22%) were current smokers. The in-hospital mortality rates were significantly lower in current smoker's before (odds ratio, 0.71; 95% CI, 0.52-0.96) and more so after (odds ratio, 0.47; 95% CI, 0.31-0.70) covariate adjustment. With the propensity score-derived covariate balance, the smoking effect became much less certain (odds ratio, 0.63; 95% CI, 0.36-1.11). Conclusions The current study illustrates the fact that the smoker's paradox is likely to be a result of residual confounding as covariate adjustment may not resolve this if there are many competing prognostic confounders. In this situation, propensity score methods for covariate balancing seem preferable. Clinical Trial Registration URL: https://www.clinicaltrials.gov/. Unique identifier: NCT01467973.
راعي المشروعGulf CARE (Gulf Acute Heart Failure Registry) is an investigator- initiated study conducted under the auspices of the Gulf Heart Association and funded by Servier, Paris, France; and (for centers in Saudi Arabia), by the Saudi Heart Association (The Deanship of Scientific Research at King Saud University, Riyadh, Saudi Arabia [research group number: RG -1436- 013]). This does not alter our adherence to policies on sharing data and materials; and the funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The publication of this article was funded by the Qatar National Library.
اللغةen
الناشرWiley Open Access
الموضوعcovariate adjustment
covariate balance
heart failure
mortality
study design
العنوانDemystifying Smoker's Paradox: A Propensity Score-Weighted Analysis in Patients Hospitalized With Acute Heart Failure.
النوعArticle
رقم العدد23
رقم المجلد8
ESSN2047-9980


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