Early triage echocardiography to predict outcomes in patients admitted with COVID-19: a multicenter study. (Record no. 11893)

MARC details
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fixed length control field 03394nam a22005177a 4500
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fixed length control field 230601s20232023 xxu||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0742-2822
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code 10.1111/echo.15567 [doi]
040 ## - CATALOGING SOURCE
Original cataloging agency Ovid MEDLINE(R)
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
PMID 37062026
245 ## - TITLE STATEMENT
Title Early triage echocardiography to predict outcomes in patients admitted with COVID-19: a multicenter study.
251 ## - Source
Source Echocardiography. 40(5):388-396, 2023 May.
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Abbreviated source Echocardiography. 40(5):388-396, 2023 May.
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Journal name Echocardiography (Mount Kisco, N.Y.)
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Year 2023
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Manufacturer FY2023
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Publication date 2023 May
265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE]
Publication status ppublish
265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE]
Medline status MEDLINE
266 ## - Date added to catalog
Date added to catalog 06/01/2023
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Abstract CONCLUSION: In patients admitted with COVID-19 undergoing early echo triage, the independent predictors of death and ICU admission were age and oxygen saturation. The inclusion of echo variables did not improve prediction of unfavorable outcomes. Copyright © 2023 Wiley Periodicals LLC.
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Abstract INTRODUCTION: Cardiac involvement seems to impact prognosis of COVID-19, especially in critically ill patients. We aimed to assess the prognostic value of right ventricular (RV) and left ventricular (LV) dysfunction, evaluated by bedside triage echocardiography (echo), in patients admitted to emergency departments (ED) in the US with COVID-19. We also assessed the feasibility of using cloud imaging for sharing and interpreting echocardiograms.
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Abstract METHODS: Patients admitted to three reference EDs with confirmed COVID-19 underwent triage echo within 72 h of symptom onset with remote interpretation. Clinical and laboratory data, as well as COVID-19 symptoms, were collected. The association between echo variables, demographics and clinical data with all-cause hospital mortality and intensive care unit (ICU) admission was assessed using logistic regression.
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Abstract RESULTS: Three hundred ninety-nine patients were enrolled, 41% women, with a mean age of 62+/-16 years. Mean oxygen saturation on presentation was 92.3+/- 9.2%. Compared to in-hospital survivors, non-survivors were older, had lower oxygen saturation on presentation, were more likely to have a chronic condition and had lower LV ejection fraction (50.3+/-19.7% vs. 58.0+/-13.6%) (P < .05). In the cohort, 101 (25%) patients had moderate/severe LV dysfunction, 131 (33%) had moderate/severe RV dysfunction. Advanced age and lower oxygen saturation were independently associated with death and ICU admission. LV and RV function, or other echo variables, were not independent predictors of outcomes.
546 ## - LANGUAGE NOTE
Language note English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element *COVID-19
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Topical term or geographic name entry element *Ventricular Dysfunction, Left
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Topical term or geographic name entry element Aged
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Topical term or geographic name entry element Echocardiography
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Topical term or geographic name entry element Female
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Topical term or geographic name entry element Humans
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Topical term or geographic name entry element Male
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Middle Aged
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Retrospective Studies
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Triage
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Topical term or geographic name entry element Ventricular Function, Left
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Indexing Automated
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Institution MedStar Health Research Institute
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Medline publication type Journal Article
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Medline publication type Multicenter Study
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Local Authors Asch, Federico
Institution Code MHRI
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Local Authors Malik, Nitin
Institution Code MHRI
790 ## - Authors
All authors Asch F, Beaton A, Fung C, Hays A, Hiremath P, Malik N, Nascimento B, Nunes MC, Ollberding N, Peck D, Sable C
856 ## - ELECTRONIC LOCATION AND ACCESS
DOI <a href="https://dx.doi.org/10.1111/echo.15567">https://dx.doi.org/10.1111/echo.15567</a>
Public note https://dx.doi.org/10.1111/echo.15567
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Journal Article
Item type description Article
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
          MedStar Authors Catalog MedStar Authors Catalog 06/02/2023   37062026 37062026 06/02/2023 06/02/2023 Journal Article

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