ArticleInternal and emergency medicine2024
Pericardial tamponade: a new perspective on echocardiographic features and application of a prediction score.
Article in Internal and emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Bedside thoracic echography in ICU: new insights for acute circulatory and respiratory failure.Intensive care medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Few clinical decision rules have been used to guide clinical management and predict outcomes in patients with pericardial tamponade. The objectives of this study are to identify the echocardiographic features associated with adverse outcomes in patients with pericardial effusions requiring pericardiocentesis and to apply a previously described four-point clinical and echocardiographic score to predict clinical outcomes over 24-hr, 30-day, and 1-year intervals. We performed a retrospective cohort review of patients who had transthoracic echocardiogram (TTE) performed and underwent pericardiocentesis within 48 h of emergency department presentation at two large tertiary care institutions. We constructed different stepwise logistic regression models and examined the associations of TTE characteristics and clinical features with ICU admission, hospital length of stay (h-LOS), and survival. The data set was then employed against a previously proposed scoring system to predict factors associated with clinical outcomes over 24 hr, 30 days, and 1 year. Two hundred thirty-nine patients were included in the final analysis. Echocardiographic characteristics of patients with pericardial tamponade who underwent pericardiocentesis are as follows: 69.1% right ventricular (RV) diastolic collapse, 62.3% exaggerated mitral valve (MV) inflow velocities, 56.4% inferior vena cava (IVC) plethora, and 53.4% right atrial (RA) systolic collapse. Increase in systolic blood pressure and increased variation in MV inflow velocity were associated with reduced ICU admission [OR: 0.94 (CI 0.90, 0.99), 0.28 (CI 0.09, 0.89), respectively]. In addition, a history of malignancy increased the length of hospital stay by about 3.89 days (CI 1.43-6.35, p < 0.01) and prior pericardiocentesis history was associated with 4.82-day increase in hospital stay (CI 1.19-8.45, p = 0.01). In utilizing the previously published prediction score, we found no statistically significant correlation in predicting survival. RV diastolic collapse and exaggerated MV inflow velocity were the most common echocardiographic findings in patients requiring pericardiocentesis. Contrary to prior studies, exaggerated MV inflow velocity was associated with reduced ICU admission. In addition, a previously described prediction score did not correlate with decreased survival in this cohort.
Indexed as
Identifiers
38907757What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.