scholarly journals Assessing the predictive value of common gait measure for predicting falls in patients presenting with suspected normal pressure hydrocephalus

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alexander Davis ◽  
Mark Luciano ◽  
Abhay Moghekar ◽  
Sevil Yasar

Abstract Objective To assess the predictive value of common measures validated to predict falls in other geriatric populations in patients presenting with suspected Normal Pressure Hydrocephalus (NPH). Methods One hundred ninety-five patients over the age of 60 who received the Fall Risk Questionnaire were retrospectively recruited from the CSF Disorders clinic within the departments of Neurosurgery and Neurology. Multiple logistic regression was used to create a model to predict falls for patients with suspected NPH using common measures: Timed Up & Go, Dual Timed Up & Go, 10 Meter Walk, MiniBESTest, 6-Minute Walk, Lower Extremity Function (Mobility), Fall Risk Questionnaire, and Functional Activities Questionnaire. Results The Fall Risk Questionnaire and age were shown to be the best predictors of falls. The model was 95.92% (Positive predictive value: 83.93%) sensitive and 47.92% specific (Negative predictive value: 77.78%). Conclusion Patients presenting with suspected NPH are at an increased fall risk, 75% of the total patients and 89% of patients who responded to a temporary drain of CSF had at least one fall in the past 6 months. The Fall Risk Questionnaire and age were shown to be predictive of falls for patients with suspected NPH. The preliminary evidence indicates measures that have been validated to assess fall risk in other populations may not be valid for patients presenting with suspected NPH.

2021 ◽  
Author(s):  
Rongrong Hua ◽  
Chunyan Liu ◽  
Xing Liu ◽  
Jinwu Zhu ◽  
Jie Zhang ◽  
...  

Abstract Background: The value of cerebrospinal fluid (CSF) biomarkers for idiopathic normal pressure hydrocephalus (iNPH) needs to be determined. This prospective study aimed to reveal the correlation between CSF biomarkers and clinical symptoms of iNPH, and its predictive value for tap test responsiveness.Methods: Thirty-nine suspected iNPH patients were recruited, contributed qualified CSF, and accepted a tap test and unified pre- and post-test evaluation of neurological function. Results: The analysis of biomarkers from their CSF showed a decrease of tau and its phosphorylated form, especially in the tap test (+) group. In addition, the responsiveness of the tap test was also related to the number of combined symptoms (p<0.01). A correlation was also found between the end pressure or pressure difference of CSF and tap test responsiveness (p<0.05). The results of binary logistic regression analysis showed that P (tap test responsiveness) = 1/1 + e ^ - (-5.505+55.314 * ratio of p/T-tau - 1.586 * numbers of combined symptoms). The combined indicators (-5.505+0.553* percentage of p/T-tau - 1.586 * numbers of combined symptoms) gave the highest sensitivity and specificity, which were 94.12% and 72.73%, respectively.Conclusions: It may be accessed in judgment of tap test responsiveness, which is beneficial for the feasibility of clinical application.


2021 ◽  
Vol 13 ◽  
Author(s):  
Rongrong Hua ◽  
Chunyan Liu ◽  
Xing Liu ◽  
Jinwu Zhu ◽  
Jie Zhang ◽  
...  

Background: The value of cerebrospinal fluid (CSF) biomarkers for assessing idiopathic normal pressure hydrocephalus (iNPH) must be determined. This prospective study aimed to reveal the correlation between CSF biomarkers and clinical symptoms of iNPH and the predictive value of these biomarkers for tap test responsiveness.Methods: Thirty-nine patients with suspected iNPH were recruited, contributed qualified CSF, and underwent a tap test and unified pre- and post-test evaluations of the neurological function.Results: The analysis of biomarkers from the patients’ CSF showed decreased levels of tau and its phosphorylated form, especially in the tap test (+) group. The responsiveness of the tap test was also related to the number of combined symptoms (p &lt; 0.01), and a correlation was found between the end pressure or pressure difference in CSF and tap test responsiveness (p &lt; 0.05). The results of the binary logistic regression analysis showed that P (tap test responsiveness) = 1/1 + e∧ − (−5.505 + 55.314 * ratio of p/T-tau − 1.586 * numbers of combined symptoms). The combined indicators (−5.505 + 0.553 * percentage of p/T-tau − 1.586 * numbers of combined symptoms) resulted in the highest sensitivity and specificity of 94.12% and 72.73%, respectively.Conclusions: CSF biomarkers may be assessed to judge tap test responsiveness, which is beneficial for the feasibility of a clinical application.


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