Abstract
Abstract Background Atrial fibrillation (AF) is associated with increased morbidity and mortality. However, its impact on outcomes of cancer patients is largely unknown. We sought to determine the prevalence and effect of AF on in-hospital outcomes of patients admitted with AF in the United States. Methods We obtained and analyzed data from Nationwide Inpatient Sample (NIS 2002- 2014). The study population included all adults (>18 years old) with the discharge diagnosis of cancer and the associated secondary diagnosis of AF. The associations of AF with in-hospital complications, procedures, discharge outcomes, and mortality, were analyzed after adjusting for potential confounders using logistic regression analyses. Results During the study period, 12,410,290 patients were admitted with cancer; of which, 1,013,735 (8.2%) had AF. Patients with AF were likely to be male (51.1% vs 42.7%), white (86.3% vs 73.6%), and had significantly higher rates comorbidities including hypertension (59.6% vs 44.6%), diabetes (20.9% vs 15.8%), heart failure (23.8% vs 4.5%), and stroke (1.3% vs 0.7%). Similarly, in-hospital complications (including infections, venous thromboembolism, gastrointestinal bleeding, myocardial infarction) and hospital procedures (including cardiac catheterization, intubation, blood transfusion, percutaneous coronary intervention) were found at a significantly higher rate in cancer patients with AF compared to without AF (p-value for all <0.0001). After adjusting for all confounding factors, cancer patients in the AF group had higher odds of in-hospital death (odds ratio, 1.26; 95% confidence interval, 1.23–1.28; P<0.0001). The presence of AF conferred on average three days of extra inpatient stay in patients with cancer. Mortality in the cancer patients admitted with a concomitant diagnosis of AF has gradually increased from 7.2% to 9.7% over the 13-year study period. Table 1. Multivariate model showing Atrial fibrillation as an independent risk factor of inpatient mortality in cancer patients Unadjusted univariate model Multivariate model adjusted for age, sex, race and potential confounders* Odds ratio (95% confidence interval P-value Odds ratio (95% confidence interval P-value Discharged alive Reference Reference In-hospital mortality 2.08 (2.07, 2.10) <0.0001 1.26 (1.23, 1.28) <0.0001 *Confounders adjusted for include all clinical comorbidities and in-hospital complications and procedures. Conclusions In patients with cancer, AF confers significant in-hospital burden by increasing the hospital stay by 3 days. AF is also associated with significantly higher rates of in-hospital procedures and complications in cancer patients and is an independent risk factor of in-hospital mortality. Acknowledgement/Funding None
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