Abstract Background Pulmonary Hypertension (PH) is a diverse condition associated with elevated mortality. We sought to determine the association of Transthoracic Echocardiography (TTE) parameters with in-hospital mortality in patients with PH admitted to Cardiac Intensive Care Unit (CICU). Methods We included 1 Clinic CICU admissions from 2007 to 2018, with available TTE parameters within the first day of CICU admission who had PH defined as an estimated right ventricular systolic pressure (RVSP) ≥36 mmHg. The primary outcome was in-hospital mortality, evaluated using logistic regression. Results We included 3085 unique CICU patients with PH, predominantly WHO group 2 and 3. Median age was 73.7 (63.8, 82.4) years, and 1343 (43.5%) were females. Heart failure (65.6%) and respiratory failure (34.0%) were the most common admission diagnoses. The median RVSP was 47 (41, 56) mmHg, and 1314 (42.6%) had RVSP ≥50 mmHg. A total of 337 (10.9%) patients died during hospitalization. In-hospital deaths had higher RVSP (51 versus 47 mmHg, p <0.001), reflecting higher right atrial (RA) pressure (14 versus 10 mmHg, p <0.001) (Figure). In-hospital mortality increased with worse TTE parameters reflecting Right Ventricle-Pulmonary Artery (RV-PA) coupling, such as Tricuspid Annular Plane Systolic Excursion/ Right Ventricular Systolic Pressure (RVSP), Tricuspid Annular Systolic Velocity (TASV)/RVSP and TASV/ Tricuspid Regurgitation velocity ratios. Conclusion In CICU patients with PH, we have identified the specific Doppler TTE parameters with strong associations with outcomes. Specifically, RA pressure and parameters of RV-PA coupling had the highest discrimination for in-hospital mortality. Comprehensive Doppler TTE is valuable for identification of high-risk PH patients to facilitate further investigation plans, management, and prognostication. Figure: In-hospital mortality in association with right ventricular (RV) function and right atrial pressure (RAP).In-hospital mortality in association wit
Abstract 19735: Temporal Trends in Sample Size of RCTs in Published Cardiology Literature from 1970-2013
Background: It is generally perceived that sample sizes of randomized clinical trials (RCTs) have increased over the years, particularly in specialties such as cardiology, with a robust evidence base. The aim of this study was to analyze temporal trends in sample sizes of RCTs in cardiology journals compared to other specialties. Methods: Abstracts of RCTs involving humans from PubMed for 1970-2013 were analyzed using a digital search algorithm. Sample sizes of studies were extracted from each abstract. Date of publication and journal name were collected. Journals from several medical subspecialties were selected for comparison, using the journal impact factor as a measure of clinical relevance. Sample sizes of studies in 1990 were compared to 2010 for each of the journals using the Mann-Whitney U test. Graphical comparisons of sample size trends are presented. Results: 272,054 abstracts of human RCTs were identified. Median sample sizes for the years 1990 and 2010 is shown in table 1. The median sample size for all RCTs published in Circulation was 99 subjects per study in 1990, increasing to 630 subjects per study in 2010 (p < 0.01). All cardiology journals had a significant increase in study sample size over the 20 year period, as did the multispecialty journals (JAMA, NEJM, Lancet). In contrast, only a few non-cardiology specialty journals published studies with increasing sample sizes (table 1). Figure 1 shows the sample size trend for 1970-2013. Conclusions: Our study demonstrates a dramatic temporal trend of increasing sample sizes in RCTs in cardiology compared to other specialties. Since sample size is estimated based on the effect size studied, one explanation for this observation is that the more obvious larger effects have been previously elucidated, leaving only smaller associations to be studied. This requires increasing resources, highlighting the importance of alternate study designs and collaborative registries to develop a cost effective evidence base.