Outcomes and Resource Utilization of Atrial Fibrillation Hospitalizations With Type 2 Myocardial Infarction
| Autor: | Waleed T. Kayani, Robert D. Grande, Robert W. Ariss, P.K Ramanathan, Mujeeb Sheikh, Keerat Rai Ahuja, Abdul Mannan Khan Minhas, Salik Nazir, M.M Ali, C Meenakshisundaram |
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| Rok vydání: | 2021 |
| Předmět: |
Male
medicine.medical_specialty Myocardial Infarction Comorbidity 030204 cardiovascular system & hematology Patient Readmission 03 medical and health sciences 0302 clinical medicine Internal medicine Atrial Fibrillation medicine Humans In patient Hospital Mortality 030212 general & internal medicine Myocardial infarction Hospital Costs Aged Proportional Hazards Models business.industry Nursing facility Hazard ratio Atrial fibrillation Length of Stay medicine.disease Patient Discharge Nursing Homes Hospitalization Case-Control Studies Heart failure Cardiology Health Resources Female Cardiology and Cardiovascular Medicine business Resource utilization Kidney disease |
| Zdroj: | The American Journal of Cardiology. 152:27-33 |
| ISSN: | 0002-9149 |
| DOI: | 10.1016/j.amjcard.2021.04.036 |
| Popis: | Background Patients with atrial fibrillation (AF) are often elderly and have higher rates of comorbidities which may predispose them to an increased risk of myocardial oxygen demand-supply mismatch. Scarce data exist on the prognostic impact of type 2 myocardial infarction (MI) in AF. Purpose To examine the association of type 2 MI with outcomes and resource utilization in primary AF hospitalizations. Methods We utilized the Nationwide Readmission Database 2018 to identify primary AF hospitalizations with and without type 2 MI. The International Classification of Diseases, Tenth Revision (ICD-10) diagnosis codes I48.0, I48.1, I48.2, I48.91 were utilized to identify primary AF hospitalizations within the United States. Of these, AF hospitalizations complicated by type 2 MI were identified using ICD-10 code I21.A1. Comorbidities and outcomes were identified using the corresponding ICD-10 codes. Complex samples multivariable logistic and linear regression models were used to determine the association between type 2 MI and outcomes (in-hospital mortality, index length of stay [LOS], hospital costs, discharge to nursing facility, and 30-day all-cause readmissions). Predictors of in-hospital mortality in AF with type 2 MI were also determined. Results Of 382,896 primary AF hospitalizations included in this study, 7,375 (1.9%) had type 2 MI. Compared to AF hospitalization without type 2 MI, those with type 2 MI are older (74.5 vs. 70.7-years-old) and have higher prevalence of chronic pulmonary disease, dyslipidemia, diabetes mellitus, hypertension, heart failure, peripheral vascular disease, chronic kidney disease, neurological disorders, deficiency anemia, coagulopathy, valvular disease, prior myocardial infarction, prior coronary artery bypass grafting, prior percutaneous coronary intervention, and prior cerebrovascular accident (P for all Conclusion In this large nationwide analysis, type 2 MI in the setting of AF hospitalization is associated with higher in-hospital mortality and increased resource utilization compared to AF hospitalizations without type 2 MI. Funding Acknowledgement Type of funding sources: None. Figure 1 |
| Databáze: | OpenAIRE |
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