Volume 23 Issue 4
Apr.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(4): 551-554
HU Lingqin, WANG Xiaohua, REN Yili, WANG Jun. Construction of a nomogram for predicting malnutrition risk in elderly patients with pharyngeal dysphagia after stroke[J]. Chinese Journal of General Practice, 2025, 23(4): 551-554. doi: 10.16766/j.cnki.issn.1674-4152.003947
Citation: HU Lingqin, WANG Xiaohua, REN Yili, WANG Jun. Construction of a nomogram for predicting malnutrition risk in elderly patients with pharyngeal dysphagia after stroke[J]. Chinese Journal of General Practice, 2025, 23(4): 551-554. doi: 10.16766/j.cnki.issn.1674-4152.003947
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Construction of a nomogram for predicting malnutrition risk in elderly patients with pharyngeal dysphagia after stroke

doi: 10.16766/j.cnki.issn.1674-4152.003947

  • Department of Geriatrics, Affiliated Hospital of Shaoxing University, Shaoxing, Zhejiang 312000, China

Funds:

 2021ZB310

  • Received Date: 2024-07-24
    Available Online: 2025-06-30
    Abstract
  •   Objective  To construct a nomogram tool for screening malnutrition risk in elderly patients with pharyngeal swallowing disorders after stroke, aiming to improve the accuracy of malnutrition assessment.  Methods  A total of 115 elderly patients with post-stroke pharyngeal dysphagia disorder admitted to Affiliated Hospital of Shaoxing University from December 2020 to December 2023 were selected and divided into a malnutrition group (MNA score < 17 points, n=43) and a non-malnutrition group (MNA score ≥17 points, n=72) according to the micro-nutrition assessment (MNA) score. Multivariate logistic regression analysis was used to screen the risk factors for malnutrition, and R software component nomogram model was used to verify the model.  Results  Among the 115 elderly patients with pharyngeal dysphagia after stroke, 43 (37.39%) were diagnosed with malnutrition. Multivariate logistic regression showed delayed swallowing initiation, aspiration, aCCI score, feeding method, and epiglottic reversion disorder as independent risk factors for malnutrition in elderly patients after stroke (OR>1, P < 0.05). Based on the above five indexes, the malnutrition risk prediction model of dysphagia in elderly stroke was constructed, achieving an area under the ROC curve of 0.959 (95% CI: 0.904-0.987). The calibration curve demonstrated good agreement, with a Hosmer-Lemeshow test result of χ2=8.254, P=0.628.  Conclusion  Elderly patients with laryngeal swallowing dysfunction after stroke have a high incidence of malnutrition. Key risk factors include delayed swallowing initiation, aspiration, aCCI score, feeding method, and epiglottic reentry disorder. The nomogram model established in this study can provide a reliable tool for early warning and identification of malnutrition in elderly patients with laryngeal swallowing dysfunction after stroke.

     

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