SEARCHCOHORTnephrology, cardiology

cohort·nephrology, cardiology, epidemiology, internal medicine, hematology·PMC10174384

The hemoglobin, albumin, lymphocyte, and platelet (HALP) is a potent indicator for the prognosis in hemodialysis patients

Medicine · 6 authors, 5 centres

AI SUMMARY

FIDELITY 100%

POPULATIONMaintenance hemodialysis patients from multiple dialysis centers in China

INTERVENTION

COMPARISONTertile 1 (lowest HALP) vs Tertile 3 (highest HALP)

This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.

AGENT 01 · STRUCTURED SUMMARY

TRACE TO SOURCE

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TL;DR

A composite model incorporating HALP outperformed traditional risk factor models in predictive performance.

Full summary

593 CHARS

The primary outcomes were cardiovascular disease (CVD) mortality and all-cause death, analyzed via Kaplan–Meier curves, Cox regression, restricted cubic splines, and time-dependent ROC curves. Compared with Tertile 1, patients in Tertile 3 had significantly lower all-cause mortality (HR = 0.66, 95% CI 0.49–0.86, P = .007) and CVD mortality (sub-distribution HR = 0.51, 95% CI 0.34–0.80, P = .005). Restricted cubic splines indicated a negative linear relationship between HALP and all-cause death risk. The composite model with HALP supplementation outperformed the traditional factor model.

PICO

PPOPULATION

Maintenance hemodialysis patients from multiple dialysis centers in China

OOUTCOME

Cardiovascular disease mortality and all-cause mortality

STUDY TYPE

cohort

SPECIALTY

nephrology

SUMMARISED BY

AI pipeline

FIDELITY CHECK

100% · A

ORIGINAL PAPER

PMC10174384

The hemoglobin, albumin, lymphocyte, and platelet (HALP) is a potent indicator for the prognosis in hemodialysis patients

Medicine

READ THE FULL PAPER

ABSTRACT

The hemoglobin, albumin, lymphocyte, and platelet (HALP) values were marked as a original index of general nutritional and inflammatory conditions. The purpose of this investigation was to evaluate the potential relationship between HALP and prognosis in hemodialysis (HD) patients. Patients with maintenance HD from multiple dialysis centers in China were retrospectively analyzed. The primary poor outcome were cardiovascular disease (CVD) and all-cause death. The computational equation of HALP values as the follows: hemoglobin (g/L) × albumin (g/L) × lymphocytes (/L) / platelets (/L). All participants were divided into Tertile 1, Tertile 2, and Tertile 3 according to the tertiles of baseline HALP values. The Kaplan–Meier curve and the Cox regression was done to figure out the relationship about HALP and adverse outcomes. The restricted cubic splines further identified the possible associations. The time-dependent receiver operating characteristic curve and C-index were implemented for evaluate the predictive values of the HALP composite model. There were 4796 patients incorporate into ultimate study. Compared with patients in Tertile 1, patients in Tertile 3 had an lower risk of all-cause mortality [hazard ratios = 0.66, 95% confidence intervals: 0.49–0.86, P = .007] and CVD mortality [sub-distribution hazard ratio = 0.51, 95% confidence intervals: 0.34–0.80, P = .005]. The composite model with the supplement of HALP outperformed the traditional factor model in the time-dependent receiver operating characteristic curve. High HALP values at baseline are related to a diminished risk of CVD death and all-cause death in HD patients. HALP is a novel and potent index for the prognosis of HD patients.

CITATION EXPORT

Fengping Zhang, Luohua Li, Taotao Shi et al.. The hemoglobin, albumin, lymphocyte, and platelet (HALP) is a potent indicator for the prognosis in hemodialysis patients. Medicine. (2023). https://doi.org/10.1097/MD.0000000000033650

AUTHORS

6 · 5 CENTRES

Fengping Zhang, Luohua Li, Taotao Shi, Yu Liu, Jun Xie, Le Yu

a Department of Nephrology, Jiujiang No.1 People’s Hospital, Jiujiang, China
b Department of Nephrology, West China Hospital, Sichuan University, Chengdu, China
c Department of Nephrology, Pingxiang People’s Hospital, Pingxiang, China
d Department of Nephrology, De ‘an People’s Hospital, Jiujiang, China
e Department of Rheumatology and Immunology, Jiujiang No.1 People’s Hospital, Jiujiang, China.