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        <datestamp>2026-09-18T05:29:39Z</datestamp>
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          <dc:title>Supplementary file 1_Associations of cardiometabolic burden with cardiovascular disease–death transitions in metabolic dysfunction-associated steatotic liver disease: a prospective cohort study using multistate analysis.docx</dc:title>
          <dc:creator>Chuanyong Cui (19512004)</dc:creator>
          <dc:creator>Yi Zhao (14034)</dc:creator>
          <dc:creator>Guangji Zhang (4225753)</dc:creator>
          <dc:creator>Zhongyan Du (482846)</dc:creator>
          <dc:creator>Wenke Cheng (10294769)</dc:creator>
          <dc:subject>Clinical and Sports Nutrition</dc:subject>
          <dc:subject>cardiometabolic risk factor</dc:subject>
          <dc:subject>cardiovascular disease</dc:subject>
          <dc:subject>cohort study</dc:subject>
          <dc:subject>death</dc:subject>
          <dc:subject>metabolic dysfunction-associated steatotic liver disease</dc:subject>
          <dc:description>Aim&lt;p&gt;To examine the associations of cardiometabolic burden with transitions from CVD-free status to incident CVD, death without prior CVD, and death after CVD among individuals with MASLD, and to further characterize non-linear patterns, temporal variations, and potential contributing factors related to these associations.&lt;/p&gt;Methods&lt;p&gt;This prospective cohort analysis included 72,922 UK adults with MASLD. Cardiometabolic burden was primarily assessed by the number of cardiometabolic risk factors, with an internally derived weighted score evaluated as a complementary secondary measure. Traditional Cox models estimated overall associations with incident CVD and death, whereas multistate models quantified transition-specific associations. Penalised splines assessed non-linearity, piecewise Cox models evaluated time-stratified associations, and mediation analyses examined inflammatory and lifestyle-related factors.&lt;/p&gt;Results&lt;p&gt;Over a median follow-up of 15.9 years, 15,352 participants developed CVD, 4,273 died without prior CVD, and 4,228 died after incident CVD. Each additional cardiometabolic risk factor was associated with higher risks of the baseline-to-CVD, baseline-to-death, and CVD-to-death transitions (hazard ratio [HR] 1.17, 95% confidence interval [CI] 1.15–1.19; HR 1.09, 95% CI 1.06–1.13; and HR 1.13, 95% CI 1.10–1.17, respectively). Corresponding estimates per 1-standard deviation increase in the weighted score were HR 1.23 (95% CI 1.20–1.25), HR 1.12 (95% CI 1.08–1.16), and HR 1.19 (95% CI 1.15–1.23), respectively. Associations with incident CVD were stronger during early follow-up, whereas death-related associations became more apparent over longer follow-up. Significant age interactions were observed, with stronger associations among participants aged &lt;60 years (P for interaction &lt;0.05). In mediation analyses, estimated indirect proportions were generally &lt;3% for circulating inflammatory markers and were larger for smoking and drinking status.&lt;/p&gt;Conclusion&lt;p&gt;Among individuals with MASLD, greater cardiometabolic burden was associated with all disease-state transitions, most strongly with incident CVD. Death-related associations became more apparent over longer follow-up, supporting sustained cardiometabolic surveillance. Associations were more pronounced in younger participants, suggesting that individuals under 60 years with high cardiometabolic burden may be a priority subgroup for earlier identification and transition-specific risk assessment.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-18T05:29:39Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.3389/fnut.2026.1928761.s001</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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