scholarly journals Burden-of-Illness Associated with Bleeding-Related Hospitalizations in Atrial Fibrillation Patients: Findings from the Nationwide Readmission Database

TH Open ◽  
2020 ◽  
Vol 04 (03) ◽  
pp. e211-e217
Author(s):  
Benjamin Miao ◽  
Monique Miller ◽  
Belinda Lovelace ◽  
Anne Beaubrun ◽  
Kelly McNeil-Posey ◽  
...  

Abstract Introduction A paucity of contemporary data examining bleeding-related hospitalization outcomes in atrial fibrillation (AF) patients exists. Methods Adults in the Nationwide Readmissions Database (January 2016–November 2016) with AF and hospitalized for intracranial hemorrhage (ICH), gastrointestinal, genitourinary, or other bleeding were identified. Association between bleed types and outcomes were assessed using multivariable regression (gastrointestinal defined as referent) and reported as crude incidences and adjusted odds ratios (ORs) or mean differences with 95% confidence intervals (CIs). Results In total, 196,878 index bleeding-related hospitalizations were identified in this AF cohort (CHA2DS2VASc score ≥2 in 95.1%), with 70.8% classified as gastrointestinal. The overall incidences of in-hospital mortality, need for post-discharge out-of-home care, and 30-day readmission were 4.9, 50.8, and 18.2%, respectively. Multivariable regression suggested traumatic and nontraumatic ICHs were associated with higher odds of in-hospital mortality (OR = 3.99, 95% CI = 3.79, 4.19; OR = 13.09, 95% CI = 12.24, 13.99) and need for post-discharge out-of-home care (OR = 2.92, 95% CI = 2.83, 3.01; OR = 2.74, 95% CI = 2.59, 2.90), and increases in mean index hospitalization length-of-stay (8.31 days, 95% CI = 8.03, 8.60, 6.27 days, 95% CI = 5.97, 6.57) versus gastrointestinal bleeding. Genitourinary and other bleeds were associated with lower mortality (OR = 0.37, 95% CI = 0.25, 0.55; OR = 0.59, 95% CI = 0.53, 0.64) and reduced length-of-stays (−2.84 days, 95% CI =  − 2.91, −2.76; −2.06 days, 95% CI =  − 2.11, −2.01) versus gastrointestinal bleeding. Genitourinary bleeds were also associated with a reduced need for post-discharge out-of-home care (OR = 0.86, 95% CI = 0.77, 0.97). Conclusion The burden of bleeding-related hospitalizations was notably driven by relatively rare but severe and life-threatening ICH, and less morbid but more frequent gastrointestinal bleeding. There is need for continued research on bleeding risk factors and mitigation techniques to avoid bleeding-related patient hospitalizations.

2020 ◽  
Vol 29 (12) ◽  
pp. 1550-1561
Author(s):  
Laura Fanning ◽  
Ian C. K. Wong ◽  
Xue Li ◽  
Esther W. Chan ◽  
Pajaree Mongkhon ◽  
...  

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Shadi Yaghi ◽  
Markeith Pilot ◽  
Dean Sherzai ◽  
Ayesha Sherzai

Background: The CHADS2 score predicts stroke risk in patients with atrial fibrillation. Although strokes caused by atrial fibrillation carry the highest mortality when compared to other etiologies, it is unclear whether the CHADS2 score has an impact on stroke related mortality in patients with atrial fibrillation. We hypothesize that higher CHADS2 scores are associated with higher stroke related in-hospital mortality. Methods: Data were obtained from the California State Inpatient Database between 2008 and 2011, using appropriate ICD-9 codes. Frequencies and descriptive analysis adjusting for influence of comorbidities and confounders were utilized. Age and ICD-9 codes for hypertension, diabetes, congestive heart failure, and prior stroke were used to calculate the CHADS2 score of patients with atrial fibrillation. A multivariate Cox regression model adjusted for age, gender and race was used to further explore the relationship. The primary outcome was in-hospital stroke mortality. We hypothesized that higher CHADS2 scores increase the risk of stroke related mortality. Results: Between 2008-2011, 18,089 patients with atrial fibrillation had stroke as one of the admitting diagnoses; 70% were Caucasians, 5% African Americans, 15% Hispanic, and 10% Asian; 57% were females and 66% of patients were ≥ 75 years. The in-hospital mortality rates of the CHADS2 score were as follows: 0 (18.7%), 1 (18.6%), 2 (21.3%), 3 (26.3%), 4 (23.8%), 5 (22.8%), and 6 (22.2%). After adjusting for baseline demographics, the odds of in-hospital mortality was significantly higher with a CHADS2 score ≥ 2 vs. < 2 (OR 1.15 95% CI 1.08-1.23). Among the individual CHADS2 score items, predictors of increased in-hospital mortality were congestive heart failure (OR 1.61 95% 1.53-1.70), age ≥ 75 years (OR 1.27 95% 1.19-1.35), and diabetes (OR 1.24 95% CI 1.14-1.35). Conclusion: CHADS2 ≥ 2 not only increases the risk of stroke but is a predictor of stroke related mortality. Factors driving this association appear to be age, congestive heart failure, and diabetes. This may be useful when deciding on anticoagulation use for stroke prevention especially in patients with elevated bleeding risk.


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