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| Development and Validation of a Risk Model for Post-Stroke Depression after Acute Ischemic Stroke Based on Cystatin C Level |
| LIAN Haojun |
| Department of Neurology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou Henan 450000 |
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Abstract 【Objective】 To construct and validate a risk model for post-stroke depression after acute ischemic stroke (AIS) based on cystatin C (cys C) level.【Methods】 Clinical data of 102 AIS patients were collected, and the occurrence of depression during hospitalization was recorded. Factors influencing the development of depression in these patients were analyzed, and a risk nomogram for depression in AIS patients was developed and validated.【Results】 Among the 102 patients, 30 developed depression. Logistic multivariate regression analysis identified left-sided lesions, NIHSS score > 4, homocysteine (Hcy) ≥ 15 μmol/L, and cys C ≥ 1.09 mg/L as factors influencing post-AIS depression (P<0.05). Using these risk factors as predictive variables, a nomogram model was established with a total score range (including each factor) of 87 to 372 points, which were corresponding to a risk rate of 0.05 to 0.81. The validation of the nomogram model showed that a C-index was 0.811 (95%CI: 0.774-0.849), and the calibration curve for predicting depression after AIS was close to the ideal curve (P>0.05).【Conclusion】 Lesion side, NIHSS score, Hcy levels, and cys C levels are associated with post-stroke depression after AIS. The nomogram model developed based on these factors has good predictive efficacy for assessing post-stroke depression in AIS patients.
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Received: 12 December 2023
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2025, Vol. 42 
