Evidence map›Paper›PMID 42775050›Full record

ArticleCureus2026

Comparison of GRACE, HEART, and TIMI Risk Scores in Predicting In-Hospital Morbidity and Mortality in Acute Coronary Syndrome.

Kaleemullah Shaikh, Abeer Sarfaraz, Nida Batool, Fazila Sikandar, Shafaq Saher, Fahad Kaleem

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In one paragraph

Article in Cureus, 2026. 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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1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kaleemullah ShaikhDepartment of Cardiology, Liaquat National Hospital and Medical College, Karachi, PAK.
Abeer SarfarazDepartment of Cardiology, Liaquat National Hospital and Medical College, Karachi, PAK.
Nida BatoolDepartment of Cardiology, Liaquat National Hospital and Medical College, Karachi, PAK.
Fazila SikandarDepartment of Cardiology, Liaquat National Hospital and Medical College, Karachi, PAK.
Shafaq SaherDepartment of Cardiology, Liaquat National Hospital and Medical College, Karachi, PAK.
Fahad KaleemDepartment of Dentistry, Ziauddin University, Karachi, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Uncertainty persists regarding the comparative predictive value of various risk scores for in-hospital outcomes in patients with acute coronary syndrome (ACS). Methodology A total of 259 patients with ACS were included in this study. Clinical and electrocardiographic data were collected, and in-hospital mortality and morbid events were documented. Using multivariate logistic regression analysis, predictors were identified. The discriminatory ability of the Global Registry of Acute Coronary Events (GRACE), Thrombolysis in Myocardial Infarction (TIMI), and HEART (History, Electrocardiogram, Age, Risk factors, and Troponin) scores was determined using receiver operating characteristic curve analysis and compared using the DeLong test. Calibration was checked using the Hosmer-Lemeshow goodness-of-fit test. Results Hospital deaths were noted in 20 (7.7%) cases, and hospital morbidities in 61 (23.6%) cases. Significant predictors of mortality included older age, ST-segment changes, T-wave inversion, and decreased percutaneous coronary intervention. Predictors of morbidity included older age, lower body mass index, chronic kidney disease, and elevated creatinine level. Regarding multivariate analysis, age (odds ratio (OR) = 1.086; 95% confidence interval (CI) 1.005 to 1.173; p = 0.036) and TIMI score (OR = 1.542; 95% CI = 1.100 to 2.163; p = 0.012) were found to be independent predictors of mortality, whereas only the TIMI score was an independent predictor of morbidity (OR = 1.933; 95% CI = 1.512 to 2.472; p < 0.001). The TIMI score showed better discrimination than both the GRACE and HEART scores, which had area under the curve values of 0.728 for mortality and 0.737 for morbidity. Conclusions The TIMI risk score demonstrated superior predictive performance compared with GRACE and HEART scores for in-hospital complications in patients with ACS.

Indexed as

acute coronary syndromegrace scoreheart scorein-hospital mortalitymajor adverse cardiovascular eventstimi score

Identifiers

PMID42775050
PMCPMC13595051

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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.