Evidence map›Paper›PMID 35444854›Full record

ArticleTurk gogus kalp damar cerrahisi dergisi2022

Relationship between right atrial pressure and the Model for End-Stage Liver Disease (MELD) score in patients with advanced heart failure.

Rezzan Deniz Acar, Şencan Acar, Mustafa Emre Gürcü, Cem Doğan, Zübeyde Bayram, Samet Uysal, Büşra Güvendi, Özgür Yaşar Akbal, Cihangir Kaymaz, Mehmet Kaan Kırali and 1 more

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Article in Turk gogus kalp damar cerrahisi dergisi, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Rezzan Deniz AcarDepartment of Cardiology, Kartal Koşuyolu High Specialization Training and Research Hospital, Istanbul, Turkey.
Şencan AcarDepartment of Internal Diseases, Division of Gastroenterology, Sakarya University Training and Research Hospital, Sakarya, Turkey.
Mustafa Emre GürcüDepartment of Anesthesiology and Reanimation, Kartal Koşuyolu High Specialization Training and Research Hospital, Istanbul, Turkey.
Cem DoğanDepartment of Cardiology, Kartal Koşuyolu High Specialization Training and Research Hospital, Istanbul, Turkey.
Zübeyde BayramDepartment of Cardiology, Kartal Koşuyolu High Specialization Training and Research Hospital, Istanbul, Turkey.
Samet UysalDepartment of Cardiology, Kartal Koşuyolu High Specialization Training and Research Hospital, Istanbul, Turkey.
Büşra GüvendiDepartment of Cardiology, Kartal Koşuyolu High Specialization Training and Research Hospital, Istanbul, Turkey.
Özgür Yaşar AkbalDepartment of Cardiology, Kartal Koşuyolu High Specialization Training and Research Hospital, Istanbul, Turkey.
Cihangir KaymazDepartment of Cardiology, Kartal Koşuyolu High Specialization Training and Research Hospital, Istanbul, Turkey.
Mehmet Kaan KıraliDepartment of Cardiovascular Surgery, Kartal Koşuyolu High Specialization Training and Research Hospital, Istanbul, Turkey.
Nihal ÖzdemirDepartment of Cardiology, Kartal Koşuyolu High Specialization Training and Research Hospital, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to investigate the association between right atrial pressure and the Model for End-Stage Liver Disease score and to evaluate the ability of this scoring system to accurately predict the value of right atrial pressure. Methods: Between April 2016 and November 2018, a total of 137 patients (118 males, 19 females; median age: 49 years; range, 40 to 54 years) with advanced heart failure who were candidates for left ventricular assist device implantation or heart transplantation were retrospectively analyzed. We developed a formula calculated by using the biochemical and cardiac catheterization parameters of the patients. Results: There was a strong correlation between the right atrial pressure and the scores (r=0.510, p<0.001). The estimated right atrial pressure was calculated as "2 + (0.92 x Model for End-Stage Liver Disease Score)" (unstandardized coefficient 0.920, t value 7.674, p<0.001). The Model for End-Stage Liver Disease score was found to be an independent predictor of high right atrial pressure (odds ratio=1.491, 95% confidence interval: 1.244-1.786, p<0.001). The calculated area under the curve was 0.789 (95% confidence interval: 0.710-0.867, p<0.001) and the cut-off value of the Model for End-Stage Liver Disease score in the prediction of high right atrial pressure was 10.5 with 75% sensitivity and 73% specificity. Conclusion: We define a method to calculate right atrial pressure obtained by using the Model for End-Stage Liver Disease score without the need for cardiac catheterization during the hospitalization and follow-up period of patients with advanced heart failure.

Indexed as

Advanced heart failureModel for End-Stage Liver Disease Scoreright atrial pressure

Identifiers

PMID35444854
PMCPMC8990151

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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.