ArticleInternational journal of applied & basic medical research
Pericardial Effusion in Postcoronavirus Disease Patients with Preserved Ejection Fraction of the Left Ventricle and Normal Values of N-Terminal-Pro B-Type Natriuretic Peptide-Link with C-Reactive Protein and D-Dimer.
Article in International journal of applied & basic medical research. 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, 3 citations in OpenAlex.
- Old and New Biomarkers in Idiopathic Recurrent Acute Pericarditis (IRAP): Prognosis and Outcomes.Current cardiology reports · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: The aim of this study was to link the values of D-dimer and C-reactive protein (CRP), with the occurrence of pericardial effusion in patients who had coronavirus disease 2019 (COVID-19) and have preserved systolic function of the left ventricle (LV). Methods: This was a prospective study and included 146 patients who underwent echocardiographic examination 30 days after the acute phase of COVID-19. Patients who were placed on mechanical ventilation, patients who had pulmonary thromboembolism or acute coronary syndrome during the acute period of the disease, patients who had an ejection fraction of the LV <50%, patients who were diagnosed with pericarditis during acute illness or clinical signs of heart failure (or had elevated N-terminal-pro hormone B-type natriuretic peptide value), with verified renal or hepatic dysfunction were excluded from the study, including patients with diabetes mellitus Type 1, patients with cancer, connective tissue disease, or pregnant women. The existence of cardiovascular risk factors (hypertension, diabetes mellitus Type 2, and hyperlipidemia), the presence of previous ischemic heart disease, maximum values of D-dimer, and CRP (during the first 15 days of the disease) was taken into the analysis. Results: Effusion was verified around the right atrium (RA) in 104 patients (3.85 ± 1.75 mm), in 135 patients next to the free wall of the right ventricle (RV) (5.24 ± 2.29 mm), in front of the apex of the LV in 27 patients (2.44 ± 0.97 mm), next to the lateral wall of LV in 35 patients (4.43 ± 3.21 mm), and behind the posterior wall of LV in 30 patients (2.83 ± 1.62 mm). Mean CRP values during the acute phase of the disease were 43.0 mg/L (8.6-76.2 mg/L), whereas D-dimer mean value was 880.00 μg/L (467.00 -2000.00 μg/L). CRP values correlated with effusion next to the free wall of RV (rho = 0.202; Conclusion: The clinical picture of the post-COVID patients could be explained by the appearance of pericardial effusion. D-dimer value correlates with the occurrence of effusion around RA, whereas CRP value correlates with effusion next to the free wall of RV.
Indexed as
Identifiers
What 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.