Impact of metabolic risk factor control on mortality risk in patients with metabolic dysfunction-associated steatotic liver disease
- VernacularTitle:控制代谢危险因素对代谢功能障碍相关脂肪性肝病患者死亡风险的影响
- Author:
Jingdan ZHANG
1
;
Bingbing WANG
2
;
Zeran WANG
1
;
Fan FENG
1
;
Ren NA
1
;
Hongyan GE
3
Author Information
- Publication Type:Journal Article
- Keywords: Metabolic Dysfunction-associated Steatotic Liver Disease; Metabolism; Risk Factors
- From: Journal of Clinical Hepatology 2026;42(7):1576-1585
- CountryChina
- Language:Chinese
- Abstract: ObjectiveTo investigate the association of comprehensive control of multiple metabolic risk factors with the risk of all-cause mortality in patients with metabolic dysfunction-associated steatotic liver disease （MASLD） and its quantitative effect. MethodsA retrospective cohort study was conducted based on the data from National Health and Nutrition Examination Survey （NHANES） in 2003—2018. A total of 29 458 participants were enrolled， including 12 528 patients with MASLD and 16 930 non-MASLD controls. The control status of nine risk factors was assessed， i.e.， hypertension， diabetes， liver fibrosis （assessed by fibrosis-4 index ［FIB-4］）， aspartate aminotransferase （AST）/alanine aminotransferase （ALT） ratio， serum albumin， renal function （assessed by serum creatinine）， systemic inflammation （assessed by neutrophil count）， smoking， and physical activity. According to the status of comprehensive risk factor control， the patients with MASLD were further divided into low-control group with 1 107 patients， moderate-control group with 7 042 patients， and high-control group with 4 379 patients. A total of 397 participants were enrolled in the external validation cohort， among whom there were 266 participants with MASLD and 131 participants without MASLD. The Kruskal-Wallis H test was used for comparison of continuous data between multiple groups， and the chi-square test was used for comparison of categorical data between groups. The Cox proportional hazards model incorporating complex sampling weights for NHANES data were used to investigate the association between the degree of risk factor control and all-cause mortality， and the Kaplan-Meier curve， the log-rank test， restricted mean survival time （RMST）， and population attributable fraction （PAF） were used for further assessment. The robustness of the findings was validated in an independent clinical cohort （n=397）. ResultsThe cohort study based on the NHANES database showed that during the median follow-up time of 6.7 years， 1 171 deaths occurred among the 12 528 patients with MASLD. There was a significant reduction in mortality risk with the increase in the number of risk factors controlled （trend test： χ2=65.06， P<0.001）. Compared with the low-control group， the mortality risk decreased successively in the moderate-control group （hazard ratio ［HR］=0.59， 95% confidence interval ［CI］： 0.51 — 0.69） and the high-control group （HR=0.36， 95%CI： 0.27 — 0.48）， and the mortality risk was reduced by 22% for each additional risk factor controlled （HR=0.78， 95%CI： 0.74 — 0.82）. The PAF analysis showed that AST/ALT ratio control （PAF=19.2%） and physical activity （PAF=18.9%） were the largest contributors. The survival analysis of the sub-cohort constructed based on nearest neighbor matching （with a maximum follow-up time of 13.3 years） showed that there was a significant difference in cumulative survival rate between the MASLD groups with different control levels and the non-MASLD group （P<0.001）. The RMST analysis further quantified the survival benefit of each group， and the high-control group had the longest 10-year RMST （9.88 years）， which was superior to that of the non-MASLD group （9.43 years）， the moderate-control group （9.33 years）， and the low-control group （7.96 years）. The multivariable-adjusted model analysis of the complete cohort showed that compared with the non-MASLD population， the MASLD patients in the low-control group had a significant increase in mortality risk， the moderate-control group had a comparable mortality risk， and the high-control group had a significantly lower mortality risk. The subgroup analysis showed a significant protective effect of comprehensive control in both male and female individuals （P<0.05）， and the interaction analysis suggested a potentially stronger protective effect in female individuals （Pfor interaction=0.031）. The protective effect was statistically significant in patients aged ≥60 years （P<0.05）. There was a significant difference in protective effect across the groups stratified based on waist circumference （P<0.05）， but there was no significant interaction between groups （Pfor interaction=0.821）. In the external validation cohort， among the 397 participants， there were 72 cases of all-cause mortality （18.1%）. The survival analysis showed a significant gradient increase in the survival rate of MASLD patients with the increase in the level of control （P=0.022）. The RMST analysis showed that the moderate- and high-control groups had a better RMST than the non-MASLD group at 5 years （4.47 years vs 4.56 years vs 4.40 years）， with a more significant survival advantage at 10 years （8.67 years vs 8.95 years vs 8.44 years）. The Cox regression analysis showed that， with the low-control MASLD group as the reference， there was a significant reduction in mortality risk in the moderate-control group （HR=0.41， 95%CI： 0.21 — 0.81） and the high-control group （HR=0.32， 95%CI： 0.14 — 0.71）； with the non-MASLD population as the reference， there was a significant increase in mortality risk in the low-control group （HR=2.02， 95%CI： 1.03 — 3.95）， with a comparable mortality risk in the moderate-control group （HR=0.83， 95%CI： 0.48 — 1.44） and the high-control group （HR=0.66， 95%CI： 0.30 — 1.38）， and the point estimates of the effects were highly consistent with the main study. ConclusionAmong MASLD patients， better control of metabolic risk factors is associated with a lower mortality risk. Achieving optimal control can eliminate the excess mortality risk associated with MASLD， thereby helping patients achieve a better survival prognosis than the general population.
