Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.1007/s10554-020-02051-9

http://scihub22266oqcxt.onion/10.1007/s10554-020-02051-9
suck pdf from google scholar
33030636!7541759!33030636
unlimited free pdf from europmc33030636    free
PDF from PMC    free
html from PMC    free

Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33030636&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215

suck abstract from ncbi


Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid33030636      Int+J+Cardiovasc+Imaging 2021 ; 37 (3): 825-834
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Echocardiographic features of patients with COVID-19 infection: a cross-sectional study #MMPMID33030636
  • Barman HA; Atici A; Tekin EA; Baycan OF; Alici G; Meric BK; Sit O; Genc O; Er F; Gungor B; Sahin I; Turgut N
  • Int J Cardiovasc Imaging 2021[Mar]; 37 (3): 825-834 PMID33030636show ga
  • COVID-19 patients with cardiac involvement have a high mortality rate. The aim of this study was to investigate the echocardiographic features in COVID-19 patients between severe and non-severe groups. For this single-center study, data from patients who were treated for COVID-19 between March 25, 2020 and April 15, 2020 were collected. Two-dimensional echocardiography (2DE) images were obtained for all patients. Patients were divided into two groups based on the severity of their COVID-19 infections. 2DE parameters indicating right ventricular (RV) and left ventricular (LV) functions were compared between the two groups. A total of 90 patients hospitalized for COVID-19 were included in this study. The mean age of the severe group (n = 44) was 63.3 +/- 15.7 years, and 54% were male. The mean age of non-severe group (n = 46) was 49.7 +/- 21.4 years, and 47% were male. In the severe group, RV and LV diameters were larger (RV, 36.6 +/- 5.9 mm vs. 33.1 +/- 4.8 mm, p = 0.003; LV 47.3 +/- 5.8 mm vs. 44.9 +/- 3.8 mm, p = 0.023), the LE ejection fraction (LVEF) and the RV fractional area change (RV-FAC) were lower (LVEF, 54.0 +/- 9.8% vs. 61.9 +/- 4.8%, p < 0.001; RV-FAC, 41.4 +/- 4.1% vs. 45.5 +/- 4.5%, p < 0.001), and pericardial effusions were more frequent (23% vs. 0%) compared to patients in the non-severe group. A multiple linear regression analysis determined that LVEF, right atrial diameter, high-sensitivity troponin I, d-dimer, and systolic pulmonary artery pressure, were independent predictors of RV dilatation. The results demonstrate that both right and left ventricular functions decreased due to COVID-19 infection in the severe group. 2DE is a valuable bedside tool and may yield valuable information about the clinical status of patients and their prognoses.
  • |COVID-19/*complications/physiopathology[MESH]
  • |Cross-Sectional Studies[MESH]
  • |Echocardiography/*methods[MESH]
  • |Female[MESH]
  • |Heart Ventricles/diagnostic imaging/physiopathology[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |SARS-CoV-2[MESH]
  • |Severity of Illness Index[MESH]
  • |Ventricular Dysfunction, Left/*complications/*diagnostic imaging/physiopathology[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box