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        <datestamp>2026-09-14T04:31:35Z</datestamp>
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          <dc:title>Table 1_Prognostic value of the atherogenic index of plasma combined with lactate-to-albumin ratio for in-hospital mortality in patients with acute myocardial infarction complicated by cardiogenic shock.docx</dc:title>
          <dc:creator>Yinsheng Jin (24867739)</dc:creator>
          <dc:creator>Kai Yang (73590)</dc:creator>
          <dc:creator>Lingling Yao (4577968)</dc:creator>
          <dc:subject>Cardiology</dc:subject>
          <dc:subject>acute myocardial infarction</dc:subject>
          <dc:subject>atherogenic index of plasma</dc:subject>
          <dc:subject>cardiogenic shock</dc:subject>
          <dc:subject>lactate-to-albumin ratio</dc:subject>
          <dc:subject>nomogram</dc:subject>
          <dc:subject>prognosis</dc:subject>
          <dc:description>Background&lt;p&gt;Acute myocardial infarction complicated by cardiogenic shock (AMICS) carries high in-hospital mortality. We evaluated the combined prognostic value of the Atherogenic Index of Plasma (AIP), reflecting lipid metabolism, and the Lactate-to-Albumin Ratio (LAR), reflecting tissue hypoperfusion and inflammation, in AMICS.&lt;/p&gt;Methods&lt;p&gt;This retrospective cohort included 207 consecutive patients with AMICS between January 2023 and January 2025, classified as survivors (n = 174) or non-survivors (n = 33). Admission clinical, laboratory, echocardiographic, and treatment variables were collected. Least Absolute Shrinkage and Selection Operator (LASSO) regression selected candidate predictors; multivariable logistic regression identified independent predictors and generated a nomogram. Performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration metrics, bootstrap internal validation, and decision curve analysis.&lt;/p&gt;Results&lt;p&gt;Non-survivors had higher AIP (0.33 ± 0.23 vs. 0.06 ± 0.30) and LAR than survivors (P &lt; 0.05). LASSO identified six candidate predictors. Mechanical ventilation (OR = 10.10, 95% CI: 3.09–33.09, P &lt; 0.001), LVEF &lt;40% (OR = 3.49, 95% CI: 1.23–9.90, P = 0.019), AIP (OR = 4.30 per SD increase, P &lt; 0.001), and LAR (OR = 1.88 per SD increase, P = 0.005) were independently associated with in-hospital mortality. The combined model showed good-to-excellent internal discrimination (AUC = 0.909, bootstrap 95% CI: 0.853–0.957), exceeding AIP (AUC = 0.777) or LAR (AUC = 0.735) alone. Calibration was acceptable (Hosmer–Lemeshow P = 0.853; Brier score = 0.077, bootstrap 95% CI: 0.052–0.103). The model underwent internal validation only and should be considered hypothesis-generating pending external validation.&lt;/p&gt;Conclusion&lt;p&gt;AIP and LAR were independently associated with in-hospital mortality and may reflect complementary lipid-metabolic and hypoperfusion-inflammatory pathways. The nomogram combines these biomarkers with hemodynamic and respiratory severity parameters and may support early risk stratification, but requires external multicenter validation before routine clinical use.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-14T04:31:35Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.3389/fcvm.2026.1816471.s001</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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