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Development and internal validation of a prediction model for patients with hematologic diseases of fall risk: a cohort study.
Xinrui, Huang; Min, Xu; Min, Cao; Chenyi, Xu.
Afiliación
  • Xinrui H; Nursing Department Office, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China.
  • Min X; Vice President's Office, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China.
  • Min C; Nursing Department, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
  • Chenyi X; Nursing Department, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Expert Rev Hematol ; 17(4-5): 135-143, 2024.
Article en En | MEDLINE | ID: mdl-38465408
ABSTRACT

BACKGROUND:

To develop and internally validate a prediction model for identifying patients with hematologic diseases of fall risk. RESEARCH DESIGN AND

METHODS:

This is a prospective cohort study from a prospective collection of data for 6 months. We recruited 412 patients with hematologic diseases in medical institutions and home environment of China. The outcome of the prediction model was fall or not. These variables were filtered via univariable logistic analysis, LASSO, and multivariable logistic analysis. We adopt an internal validation method of K-fold cross validation. The area under the ROC curve and the H-L test were used to evaluate the discrimination and calibration of the model.

RESULTS:

Five influencing factors were identified multivariable logistic regression analysis. The established model equation is as follows the H-L goodness-of-fit test of the model p > 0.05. The area under the ROC curve of train is 0.957 (95% CI 0.936 ~ 0.978), and the area under the ROC curve of test is 0.962 (95% CI 0.884 ~ 1), so the model calibration and discriminant validity are good.

CONCLUSION:

Our equation has good sensitivity and specificity in predicting the fall risk of patients with hematologic diseases, and has certain positive significance for clinical assessment of their fall risk. TRIAL REGISTRATION NUMBER ChiCTR2200063940.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Accidentes por Caídas / Enfermedades Hematológicas Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: Expert Rev Hematol Asunto de la revista: HEMATOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Accidentes por Caídas / Enfermedades Hematológicas Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: Expert Rev Hematol Asunto de la revista: HEMATOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido