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Clinical Manifestations.

Hanlin Cai1, Keru Huang1, Zilong Hao1

  • 1West China Hospital of Sichuan University, Chengdu, Sichuan, China.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 26, 2025
PubMed
Summary
This summary is machine-generated.

Digital assessments significantly improve prediction of shunt success in idiopathic normal pressure hydrocephalus (iNPH) patients. These advanced tests offer better outcomes than traditional methods for evaluating iNPH treatment response.

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Area of Science:

  • Neurology
  • Biomedical Engineering
  • Geriatrics

Background:

  • Idiopathic normal pressure hydrocephalus (iNPH) is a treatable neurological condition.
  • Cerebrospinal fluid (CSF) shunt surgery can improve iNPH symptoms.
  • Predicting shunt outcomes in iNPH patients is crucial for treatment success.

Purpose of the Study:

  • To evaluate the predictive value of digital neuropsychological and gait assessments for shunt outcomes in iNPH patients.
  • To compare the efficacy of digital assessments against traditional methods in predicting shunt response.
  • To identify objective markers for assessing iNPH patients during external lumbar drainage (ELD).

Main Methods:

  • Prospective cohort study of 70 probable iNPH patients.
  • Baseline and 72-hour post-ELD assessments using traditional and digital cognitive/gait tests.
  • Shunt surgery follow-up at 3 months, with outcomes measured by the iNPH grading scale.
  • Multivariate logistic regression and ROC analysis to determine predictive value.

Main Results:

  • Digital neuropsychological tests and gait analysis showed significant improvement after ELD.
  • A higher improvement rate in digital assessments correlated with greater likelihood of post-shunt improvement (OR=1.06, p=0.021).
  • Digital assessments achieved superior predictive efficacy (AUC=0.91) compared to traditional tests (AUC=0.67).

Conclusions:

  • Digital neuropsychological and gait assessments are objective tools for evaluating iNPH patients during ELD.
  • These digital methods enhance the prediction of shunt outcomes in iNPH.
  • Digital assessments offer a more accurate and reliable alternative to traditional tests for iNPH management.