Welcome to visit Zhongnan Medical Journal Press Series journal website!

Exploring the relationship between the HALP score and mortality in patients with myocardial infarction based on the NHANES database

Published on Jun. 09, 2026Total Views: 22 timesTotal Downloads: 5 timesDownloadMobile

Author: OUYANG Ji HU Zhixi

Affiliation: College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410208, China

Keywords: Myocardial infarction Hemoglobin albumin lymphocyte and platelet score Subgroup analysis

DOI: 10.12173/j.issn.1004-5511.202601074

Reference: Ouyang J, Hu ZX. Exploring the relationship between the HALP score and mortality in patients with myocardial infarction based on the NHANES database[J]. Yixue Xinzhi Zazhi, 2026, 36(5): 519-526. DOI: 10.12173/j.issn.1004-5511.202601074.[Article in Chinese]

  • Abstract
  • Full-text
  • References
Abstract

Objective To evaluate the association between the hemoglobin, albumin, lymphocyte, and platelet (HALP) score and the prognosis of patients with myocardial infarction (MI).

Methods Using data from the National Health and Nutrition Examination Survey of the United States from 1999 to 2018, patients with MI were identified and divided into four groups (Q1 to Q4) based on the quartiles of their HALP scores. The Schoenfeld residual method was used to test proportional hazards assumption. Three-tiered weighted Cox proportional hazards models were constructed: unadjusted, adjusted for demographic variables, and adjusted for all covariates. These models analyzed the association between HALP scores and all-cause mortality, with subgroup analyses performed. Restricted cubic spline regression was employed to validate potential nonlinear relationships. When significant nonlinearity was detected, two-stage linear regression based on threshold analysis was applied. Kaplan-Meier (K-M) curves were used to compare survival differences across HALP score groups.

Results A total of 2,131 patients were enrolled with a median follow-up of 80 months. Significant differences were observed among the four groups in terms of age, sex, race, marital status, and other variables (P < 0.05). The K-M curve showed that survival rates in all scoring groups declined as the follow-up period increased; overall, the Q1 group had the lowest survival rate, the Q3 group had a relatively higher rate, and the long-term survival rate in the Q4 group was slightly lower than that in the Q3 group. HALP scores exhibited a J-shaped nonlinear association with all-cause mortality, with a turning point at 78.53. Cox regression analysis revealed that, after adjusting for covariates, HALP scores were negatively associated with mortality risk below the turning point, with each 1-unit increase corresponding to a 0.8% reduction in mortality risk. Beyond the turning point, the association between HALP score and mortality risk tended to plateaued, and the protective effect did not further increase. Subgroup analysis revealed an in-teraction between HALP score and race, with stronger protective effect observed in the other race group.

Conclusion This study confirms a J-shaped nonlinear association between HALP score and all-cause mortality in MI patients, where higher scores associated with lower mortality risk below the threshold.

Full-text
Please download the PDF version to read the full text: download
References

1.GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017[J]. Lancethttps://pubmed.ncbi.nlm.nih.gov/30496103/, 2018, 392(10159): 1736-1788.

2.Tsao CW, Aday AW, Almarzooq ZI, et al. Heart disease and stroke statistics-2023 update: a report from the American Heart Association[J]. Circulation, 2023, 147(8): e93-e621.

3.Correction to: 2023 ESC Guidelines for the management of acute coronary syndromes: developed by the task force on the management of acute coronary syndromes of the European Society of Cardiology (ESC)[J]. Eur Heart J, 2024, 45(13): 1145.

4.Patel SJ, Yousuf S, Padala JV, et al. Advancements in artificial intelligence for precision diagnosis and treatment of myocardial infarction: a comprehensive review of clinical trials and randomized controlled trials[J]. Cure-ushttps://pubmed.ncbi.nlm.nih.gov/38864061/, 2024, 16(5): e60119.

5.Taggart C, Wereski R, Mills NL, et al. Diagnosis, investigation and management of patients with acute and chronic myocardial injury[J]. J Clin Med, 2021, 10(11): 2331.

6.Xu H, Zheng X, Ai J, et al. Hemoglobin, albumin, lymphocyte, and platelet (HALP) score and cancer prognosis: a systematic review and Meta-analysis of 13,110 patients[J]. Int Immunopharmacol, 2023, 114: 109496.

7.Liu Q, Xie H, Cheng W, et al. The preoperative hemoglobin, albumin, lymphocyte, and platelet score (HALP) as a prognostic indicator in patients with non-small cell lung cancer[J]. Front Nutr, 2024,11:1428950.

8.Xu M, Chen L, Hu Y, et al. The HALP (hemoglobin, albumin, lymphocyte, and platelet) score is associated with early-onset post-stroke cognitive impairment[J]. Neurol Sci, 2023, 44(1): 237-245.

9.Hu X, Cheng S, Du H, et al. Association of platelet-to-lymphocyte ratio with 1-year all-cause mortality in ICU patients with heart failure[J]. Sci Rep, 2024, 14(1): 32016.

10.Chaudhary PK, Kim S, Kim S. An insight into recent advances on platelet function in health and disease[J]. Int J Mol Sci, 2022, 23(11): 6022.

11.Muge A, Cenan I, Nil O, et al. A potential relationship between HALP score and in-hospital mortality in acute heart failure[J]. Clin Cardiol, 2025, 48(3): e70108.

12.Ilis D, Arslan A, Artac I, et al. Prognostic value of HALP score in predicting in-hospital mortality in patients with NSTEMI[J]. Biomark Med, 2025, 19(5): 139-147.

13.Yilmaz R, Toprak K, Yilmaz M, et al. Investigation of the usefulness of HALP score in predicting short-term mortality in patients with acute decompensated heart failure in a coronary care unit[J]. Medicina (Kaunas), 2024, 60(9): 1385.

14.Wallentin L, Eriksson N, Olszowka M, et al. Plasma proteins associated with cardiovascular death in patients with chronic coronary heart disease: a retrospective study[J]. PLoS Med, 2021, 18(1): e1003513.

15.Tian M, Li Y, Wang X, et al. The hemoglobin, albumin, lymphocyte, and platelet (HALP) score is associated with poor outcome of acute ischemic stroke[J]. Front Neurol, 2020, 11: 610318.

16.Alharthi S, Natto ZS, Midle JB, et al. Association between time since quitting smoking and periodontitis in former smokers in the National Health and Nutrition Examination Surveys (NHANES) 2009 to 2012[J]. J Periodontol, 2019, 90(1): 16-25.

17.Piercy KL, Troiano RP, Ballard RM, et al. The physical activity guidelines for americans[J]. JAMA, 2018, 320(19): 2020-2028.

18.Wang X, Yang S, He G, et al. The association between weight-adjusted-waist index and total bone mineral density in adolescents: NHANES 2011-2018[J]. Front Endocrinol (Lausanne), 2023, 14:1191501.

19.Pei H, Li S, Su X, et al. Association between triglyceride glucose index and sleep disorders: results from the NHANES 2005-2008[J]. BMC Psychiatry, 2023, 23(1): 156.

20.White IR, Royston P, Wood AM. Multiple imputation using chained equations: issues and guidance for practice[J]. Stat Med, 2011, 30(4): 377-399.

21.Kase BF, Seifu BL, Mare KU, et al. Time to first antenatal care visit and its predictors among women in Kenya: Weibull gamma shared frailty model (based on the recent 2022 KDHS data)[J]. BMC Pregnancy Childbirth, 2025, 25(1): 50.

22.Hou XZ, Lv YF, Li YS, et al. Association between different insulin resistance surrogates and all-cause mortality in patients with coronary heart disease and hypertension: NHANES longitudinal cohort study[J]. Cardiovasc Diabetol, 2024, 23(1): 86.

23.Ding L, Zhang H, Dai C, et al. The prognostic value of the stress hyperglycemia ratio for all-cause and cardiovascular mortality in patients with diabetes or prediabetes: insights from NHANES 2005-2018[J]. Cardiovasc Diabetol, 2024, 23(1): 84.

24.Yan Y, Zhou L, La R, et al. The association between triglyceride glucose index and arthritis: a population-based study[J]. Lipids Health Dis, 2023, 22(1): 132.

25.Farag CM, Antar R, Akosman S, et al. What is hemoglobin, albumin, lymphocyte, platelet (HALP) score? A comprehensive literature review of HALP's prognostic ability in different cancer types[J]. Oncotarget,  2023, 14:153-172.

26.Karakayali M, Omar T, Artac I, et al. The prognostic value of HALP score in predicting in-hospital mortality in patients with ST-elevation myocardial infarction undergoing primary percutaneous coronary intervention[J]. Coron Artery Dis, 2023, 34(7): 483-488.

27.Kiliç R, Güzel T, Aktan A, et al. The effectiveness of HALP score in predicting mortality in non-ST-elevation myocardial infarction patients[J]. Coron Artery Dis, 2025, 36(1): 39-44.

28.Liu H, Zhang F, Li Y, et al. The HALP score predicts no-reflow phenomenon and long-term prognosis in patients with ST-segment elevation myocardial infarction after primary percutaneous coronary intervention[J]. Coron Artery Dis, 2024, 36(4): 273-280.

29.Gong P, Liu Y, Gong Y, et al. The association of neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, and lymphocyte to monocyte ratio with post-thrombolysis early neurological outcomes in patients with acute ischemic stroke[J]. J Neuroinflammation, 2021,18(1): 51.

30.Sachdeva P, Kaur K, Fatima S, et al. Advancements in myocardial infarction management: exploring novel approaches and strategies[J].  Cureushttps://pubmed.ncbi.nlm.nih.gov/37868550/, 2023, 15(9): e45578.

31.Dugani SB, Ayala Melendez AP, Reka R, et al. Risk factors associated with premature myocardial infarction: a systematic review protocol[J]. BMJ Open, 2019, 9(2): e023647.

32.Lai T, Liang Y, Guan F, et al. Trends in hemoglobin-to- red cell distribution width ratio and its prognostic value for all-cause, cancer, and cardiovascular mortality: a nationwide cohort study[J]. Sci Rep, 2025, 15(1): 7685.

33.Zhao D, Jiao H, Zhong X, et al. The association between serum albumin levels and related metabolic factors and atrial fibrillation: a retrospective study[J]. Medicine (Baltimore), 2022, 101(44): e31581.

34.Stokes KY, Granger DN. Platelets: a critical link between inflammation and microvascular dysfunction[J]. J Physiol, 2012, 590(5): 1023-1034.

35.Zuo L, Dong Y, Liao X, et al. Low HALP (hemoglobin, albumin, lymphocyte, and platelet) score increases the risk of post-stroke cognitive impairment: a multicenter cohort study[J]. Clin Interv Aging, 2024, 19: 81-92.

36.Lee G, Choi S, Kim K, et al. Association of hemoglobin concentration and its change with cardiovascular and all-cause mortality[J]. J Am Heart Assoc, 2018, 7(3): e007723.

37.Ahmadizad S, Rahmani H, Khosravi N,et al. Acute responses of platelet count and ADP-induced platelet aggregation to different high intensity interval exercise modes[J]. Clin Hemorheol Microcirc, 2020, 75(4): 467-474.

38.Liu J, Du X, Ren Y, et al. Role of lymphocyte-to-C-reactive protein ratio in forecasting microvascular obstruction in ST-segment elevation myocardial infarction post-percutaneous coronary intervention[J]. Front Cardiovasc Med, 2025, 12: 1526057.

39.Moore KJ. Targeting inflammation in CVD: advances and challenges[J]. Nat Rev Cardiol, 2019, 16(2): 74-75.

40.Pan H, Lin S. Association of hemoglobin, albumin, lymphocyte, and platelet score with risk of cerebrovascular, cardiovascular, and all-cause mortality in the general population: results from the NHANES 1999-2018[J]. Front Endocrinol (Lausanne), 2023, 14: 1173399.

41.Chen L, Deng H, Cui H, et al. Inflammatory responses and inflammation-associated diseases in organs[J]. Oncotarget, 2018, 9(6): 7204-7218.

42.Fei K, Rodriguez-Lopez JS, Ramos M, et al. Racial and ethnic subgroup disparities in hypertension prevalence, New York city health and nutrition examination survey, 2013-2014[J]. Prev Chronic Dis, 2017, 14: E33.

43.Güler İ, Ustaalioğlu İ. Predictive power of HALP score in estimating short-term mortality in patients with acute pancreatitis[J]. Ulus Travma Acil Cerrahi Derghttps://pubmed.ncbi.nlm.nih.gov/37791438/. 2023. 29(10): 1098-1102.

44.Lim E, Miyamura J, Chen JJ. Racial/ethnic-specific reference intervals for common laboratory tests: a comparison among asians, blacks, hispanics, and white[J]. Hawaii J Med Public Healthhttps://pubmed.ncbi.nlm.nih.gov/26468426/, 2015, 74(9): 302-310.

45.Tanaka T, Narazaki M, Kishimoto T. IL-6 in inflammation, immunity, and disease[J]. Cold Spring Harb Perspect Biol, 2014,6(10): a016295.

46.Usategui-Martín R, De Luis-Román DA, Fernández-Gómez JM, et al. Vitamin D receptor (VDR) gene polymorphisms modify the response to vitamin D supplementation: a systematic review and Meta-analysis[J]. Nutrients, 2022, 14(2): 360.

47.Yahfoufi N, Alsadi N, Jambi M, et al. The immunomodulatory and anti-inflammatory role of polyphenols[J]. Nutrients, 2018, 10(11): 1618.

Popular Papers