Utilization trends and outcomes of catheter-directed thrombolysis for pulmonary embolism in the US by race/ethnicity.
Titilope OlanipekunTemidayo AbeValery EffoeAbimbola Chris-OlaiyaIsaac BineyPramod GuruCharles RitchieDevang SanghaviPublished in: Journal of thrombosis and thrombolysis (2022)
Contemporary data on catheter-directed thrombolysis (CDT) utilization trends and associated hospital outcomes in pulmonary embolism (PE) n the US is limited. Using the nationwide inpatient sample database, we identified patients hospitalized for acute PE treated with CDT from January 1, 2008, to December 31, 2018. Cochrane-Armitage test was used to evaluate the temporal trends in utilization, hospital mortality, and major bleeding rates. Multivariate logistic regression was used to compare differences in the outcomes across race/ethnicity, 4444 patients (unweighted hospitalizations) underwent CDT during the study period. The mean age ± standard deviation of the population was 58 ± 16 years and the majority were males (54%). 3269 (73.6%) patients were non-Hispanic White (NHW), 802 (18.0%) patients were non-Hispanic Black (NHB), and 373 (8.4%) patients were of 'other' races/ethnicities. There was a more than tenfold increase in CDT use in 2018 compared to 2008. The total mortality and bleeding rates were approximately 7 and 10% respectively. Hospital mortality rates trended down across all races/ethnicities during the study period. A similar downward trend in bleeding rates was noted in NHB only (28.6% vs 10.7%, p = 0.04). In-hospital mortality and major bleeding odds were comparable across all races/ethnicities were comparable. NHB patients and other races were more likely to require blood transfusion and incur higher hospitalization costs compared with NHW patients. CDT use increased significantly in the US during the study period with a corresponding downward trend in in-hospital mortality across all races, and bleeding rates in NHB.
Keyphrases
- end stage renal disease
- pulmonary embolism
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- healthcare
- peritoneal dialysis
- type diabetes
- coronary artery disease
- patient reported outcomes
- atrial fibrillation
- adipose tissue
- machine learning
- skeletal muscle
- inferior vena cava
- deep learning
- intensive care unit
- artificial intelligence
- electronic health record
- acute ischemic stroke
- ultrasound guided