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Serial measurements of Growth Differentiation Factor-15 in patients with Non-ST-Elevation Acute Coronary Syndrome and recurrent ischemic events

Year: 2026
Type: preprint
Study design: Observational Study
Abstract: Background Growth differentiation factor 15 (GDF-15) has emerged as a prognostic biomarker in patients with non-ST-segment-elevation acute coronary syndrome (NSTE-ACS). Our study evaluated the temporal evolution of GDF-15 in the acute phase and its association with recurrent ischemic events. Methods Serum samples were collected from patients with NSTE-ACS at admission and at 1 and 3 hours after admission. GDF-15 levels, along with other prognostic biomarkers, NT-proBNP and hs-cTnT, were measured. Spearman’s rank-correlation coefficients and linear regression models were used to identify the variables associated with GDF-15 levels at admission and with their temporal changes. Associations between GDF-15 and clinical outcomes were evaluated using Cox proportional hazards models. To assess incremental prognostic value, the areas under the curve (AUC) were calculated for each model. Results GDF-15 levels showed a slight increasing trend within 3 hours of admission. The 1-hour change in GDF-15 was correlated with hs-cTnT changes. Increased 1-hour GDF-15 levels, compared with the admission levels, were associated with a higher risk of recurrent ischemic events during the 1-year follow-up (1.9% vs. 17.5%, P =0.019) and were an independent predictor after adjusting for established clinical variables and biomarkers (adjusted hazard ratio, 1.71 [1.28 to 228.75], P =0.03). Furthermore, serial measurements of GDF-15 provided additional prognostic information beyond traditional risk factors. Conclusions Serial measurements of GDF-15 of NSTE-ACS patients provided independent and incremental prognostic value for predicting recurrent ischemic events. These findings support the potential utility of GDF-15 as a dynamic biomarker for early risk stratification in the acute management of NSTE-ACS.
Source: medRxiv
DOI: 10.64898/2026.10.11.26364375
Language: English
Field: Medicine
Open Access status: green
OpenAlex ID: W7221653728
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