Evidence map›Paper›PMID 41440842›Full record

ArticleJournal of cardiovascular development and disease2025

Predictive Value of MELD Score and Charlson Comorbidity Index in Thoracic Aortic Surgery Patients.

Ismail Dalyanoglu, Freya Sophie Jenkins, Luis Jaime Vallejo Castano, Esma Yilmaz, Mohammed Morjan, Amin Thwairan, Johanna Wedy, Georg Ulrich Holley, Artur Lichtenberg, Hannan Dalyanoglu

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Article in Journal of cardiovascular development and disease, 2025. 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Ismail DalyanogluSankt Marien Hospital Gelsenkirchen-Buer, 45894 Gelsenkirchen, Germany.
Freya Sophie JenkinsDepartment of Cardiac Surgery, Medical Faculty, Heinrich Heine University, 40225 Dusseldorf, Germany.
Luis Jaime Vallejo CastanoDepartment of Cardiac Surgery, Medical Faculty, Heinrich Heine University, 40225 Dusseldorf, Germany.ORCID 0009-0003-5536-7600
Esma YilmazDepartment of Cardiac Surgery, Medical Faculty, Heinrich Heine University, 40225 Dusseldorf, Germany.
Mohammed MorjanDepartment of Cardiac Surgery, Medical Faculty, Heinrich Heine University, 40225 Dusseldorf, Germany.ORCID 0000-0001-9529-7094
Amin ThwairanDepartment of Cardiac Surgery, Medical Faculty, Heinrich Heine University, 40225 Dusseldorf, Germany.
Johanna WedyDepartment of Cardiac Surgery, Medical Faculty, Heinrich Heine University, 40225 Dusseldorf, Germany.
Georg Ulrich HolleyDepartment of Cardiac Surgery, Medical Faculty, Heinrich Heine University, 40225 Dusseldorf, Germany.
Artur LichtenbergDepartment of Cardiac Surgery, Medical Faculty, Heinrich Heine University, 40225 Dusseldorf, Germany.ORCID 0000-0001-8580-6369
Hannan DalyanogluDepartment of Cardiac Surgery, Medical Faculty, Heinrich Heine University, 40225 Dusseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thoracic aortic aneurysms (TAAs) carry a high risk of fatal rupture, necessitating improved preoperative risk stratification. This study evaluates the predictive value of systemic risk scores-specifically the Model for End-Stage Liver Disease (MELD) and the Charlson Comorbidity Index (CCI)-for in-hospital mortality, length of stay, and one-year mortality in patients undergoing elective ascending aortic surgery. The study further compares MELD variants (MELD-Na and MELD-XI) for their prognostic performance in this context. This retrospective single-center study analyzed digital medical records of 500 patients undergoing elective surgery for ascending thoracic aortic disease between 2003 and 2023. MELD, MELD-Na (incorporating sodium), and MELD-XI (excluding INR for anticoagulated patients) were calculated from preoperative laboratory data. The CCI was derived from documented comorbidities. Outcomes included in-hospital mortality, length of stay (from admission to discharge), and one-year mortality assessed via outpatient follow-up. The study excluded patients undergoing emergency surgery for Stanford type A aortic dissection. MELD-Na incorporates serum sodium, while MELD-XI is a variant that excludes INR for patients with anticoagulation. The Charlson Comorbidity Index (CCI) was derived from patients' medical histories prior to surgery. Length of stay was defined as total inpatient days between admission and discharge. One-year mortality was assessed via outpatient follow-up data. Loss to follow-up did not exceed 30%. Of 500 patients (median age 64 years, 72.8% male), the MELD-Na score showed the strongest ability to predict in-hospital mortality (AUC = 0.698), outperforming both the standard MELD (AUC = 0.690) and the age-adjusted CCI (AUC = 0.631). For one-year mortality (N = 355), MELD-Na again performed best (AUC = 0.732), while the unadjusted CCI showed minimal predictive value (AUC = 0.509). Predictive power for hospital length of stay was limited across all scores; the age-adjusted CCI achieved the highest, though modest, discrimination (AUC = 0.627). 1-year mortality was assessed in 355 patients with available follow-up data (29.0% lost to follow-up). Among these, non-survivors had significantly higher MELD scores (

Indexed as

1-year mortalityCCIin-hospital mortalitylength of hospitalizationMELD

Identifiers

PMID41440842
PMCPMC12734095

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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.