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The effectiveness of HALP score in predicting mortality in non-ST-elevation myocardial infarction patients

Raif Kılıç, Tuncay Güzel, Adem Aktan, Hamdullah Güzel, Ahmet Kaya, Yusuf Çankaya

2024Coronary Artery Disease18 citationsDOI

Abstract

BACKGROUND: The HALP score, measured based on hemoglobin, albumin, lymphocyte, and platelet levels, is regarded as a novel scoring system that indicates the status of systemic inflammation and nutritional health. Our study aimed to evaluate the relationship between HALP score and prognosis in non-ST-elevation myocardial infarction (NSTEMI) patients. METHODS: Between 1 January 2020 and 1 January 2022, 568 consecutive patients diagnosed with NSTEMI from a single center were included in the study retrospectively. The patients were divided into two equal groups according to the median HALP cutoff value of 44.05. Patients were followed for at least 1 year from the date of admission. RESULTS: The average age of the patients was 62.3 ± 10.6 years and 43.7% were female. In-hospital and 1-year mortality were found to be significantly higher in the group with low HALP scores (6.0 vs. 2.1%, P = 0.019 and 22.5 vs. 9.9%, P < 0.001, respectively). In receiver operating characteristic curve analysis, a cutoff level of 34.6 of the HALP score predicted 1-year mortality with 71% sensitivity and 65% specificity (area under the curve: 0.707, 95% confidence interval: 0.651-0.762, P < 0.001). In Kaplan-Meier analysis, higher mortality rates were observed over time in the group with lower HALP scores (log-rank test=16.767, P < 0.001). In Cox regression analysis, the HALP score was found to be an independent predictor of 1-year mortality (odds ratio: 0.969, 95% confidence interval: 0.958-0.981, P < 0.001). CONCLUSION: We found that a low HALP score could predict in-hospital and 1-year mortality in patients admitted to the hospital with a diagnosis of NSTEMI.

Topics & Concepts

MedicineConfidence intervalOdds ratioMyocardial infarctionInternal medicineCutoffReceiver operating characteristicSurgeryPhysicsQuantum mechanicsInflammatory Biomarkers in Disease PrognosisAdipokines, Inflammation, and Metabolic DiseasesBiomarkers in Disease Mechanisms
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