ObjectiveTo explore the nursing effects of the mind mapping combined with quantitative prediction model in patients with ischemic stroke complicated with dysphagia.
MethodsA total of 357 patients with ischemic stroke were divided into the modeling set(n=283) and validation set(n=74).The clinical data of the modeling set were retrospectively analyzed, the risk factors of dysphagia after stroke were analyzed, and the relevant nomogram prediction model and mind mapping were established.
ResultsThe age ≥ 60 years, hypertension, diabetes, brainstem infarction, NHISS score ≥ 12 and GCS score < 10 were the independent risk factors of dysphagia after ischemic stroke(P < 0.05 to P < 0.01).A nomogram prediction model was established according to the screening out risk factors, the C-index indexes of the modeling set and validation set were 0.816(95% CI: 0.761-0.849) and 0.782(95% CI: 0.736-0.818), respectively.The calibration curves fit well with the standard curve, and the AUC were 0.882 and 0.822, respectively.These indicated that the nomogram model had good predictive ability, and the mind mapping could clearly show the risk indicators and risk stratifications.
ConclusionsThere are many risk factors for dysphagia after ischemic stroke.The nomogram model established in this study based on the risk factors has good predictive ability, and which combined with the mind mapping can help nurses remember and understand the clinical significance of the model.
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