This prospective cohort study included 924 centenarians from China Hainan, derived from an initial sample of 1,002 after exclusions. The primary exposure was the uric acid-to-albumin ratio (UAR), categorized into quartiles. The lower three quartiles (Q1–Q3) served as the reference group against which the highest quartile (Q4) was compared. The primary outcome was all-cause mortality, with follow-up extending through March 31, 2023, yielding a median duration of 29.70 months.
Analysis revealed a statistically significant overall association between UAR and mortality (adjusted P = 0.009). Specifically, individuals in the highest UAR quartile (Q4) exhibited an increased risk of mortality compared to those in the lower three quartiles. The adjusted hazard ratio for Q4 versus Q1–Q3 was 1.287 (95% CI: 1.093, 1.516; P = 0.003). Additionally, median survival time was shorter in the Q4 group (26 months) compared to the reference group (32 months), with a log-rank test P value of less than 0.001.
No adverse events, serious adverse events, discontinuations, or tolerability data were reported, as this was an observational mortality study rather than a clinical trial. The study design precludes definitive causal conclusions regarding UAR and mortality. While the association appears robust within this specific population, the results may not be generalizable to other age groups or ethnicities. Clinicians should interpret these data as indicative of an association rather than a direct causal mechanism.
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BackgroundThe uric acid-to-albumin ratio (UAR) has emerged as a potential composite biomarker reflecting oxidative stress and nutritional status, both of which are relevant to aging and mortality risk. However, its prognostic value in extremely long-lived individuals remains unclear.MethodsA prospective cohort study involving 1,002 centenarians from China Hainan was conducted between June 2014 and December 2016. Participants were followed for survival status through March 31, 2023. Restricted cubic spline (RCS) modeling, Cox proportional hazards regression, and Kaplan–Meier survival analyses were employed to assess the association between UAR and mortality risk.ResultsAfter excluding 78 centenarians, the cohort included 924 centenarians (median age: 102 years; 18.29% male). During a median follow-up of 29.70 months, 854 (92.42%) died. RCS analysis indicated a statistically significant overall association between UAR and mortality (adjusted P for overall = 0.009), with evidence of non-linearity (adjusted P for non-linearity = 0.029). In multivariable Cox regression analysis, individuals in the higher UAR quartile (Q4) demonstrated a 28.7% increased risk of mortality compared with those in the lower three quartiles (Q1–Q3) (adjusted hazard ratio: 1.287, 95% CI: 1.093,1.516; P = 0.003). Kaplan–Meier analysis further revealed that participants in Q4 had a significantly shorter median survival time (26 months) compared with those in Q1–Q3 (32 months) (log-rank test, P < 0.001).ConclusionElevated UAR is independently associated with increased all-cause mortality in centenarians, suggesting its potential utility as a prognostic biomarker for risk stratification in exceptionally long-lived populations.