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Record W4391229475 · doi:10.1097/cm9.0000000000002962

Upper extremity motor function before and after the cerebrospinal fluid tap test in patients with idiopathic normal pressure hydrocephalus: A retrospective study

2024· article· en· W4391229475 on OpenAlexaboutno aff
Caiyan Liu, Junji Wei, Liling Dong, Chenhui Mao, Jie Li, Xinying Huang, Bo Hou, Feng Feng, Liying Cui, Jing Gao

Bibliographic record

VenueChinese Medical Journal · 2024
Typearticle
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsnot available
FundersNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsMedicineLumbar punctureNeurosurgeryLumbarHydrocephalusCerebrospinal fluidPhysical medicine and rehabilitationParkinsonismPhysical therapySurgeryInternal medicineDisease

Abstract

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To the Editor: Idiopathic normal pressure hydrocephalus (iNPH) patients present disturbances in gait, cognition, and/or control of urination with neuroimaging characterized by enlargement of the cerebral ventricles. Typically, gait disturbance in iNPH patients is the initial and most prominent symptom, but motor impairments can also extend to upper extremity. The cerebrospinal fluid (CSF) tap test (TT), in which the symptoms of iNPH patients are assessed before and after drainage of 30–50 mL CSF by lumbar puncture, is a commonly used auxiliary test for predicting shunt responsiveness. Standard methods for determining the CSF TT response are based on the clinical impression of changes in gait after lumber puncture. iNPH patients who are unable to ambulate (e.g., the patient is wheelchair bound) may not be able to comply with the gait evaluation but still benefit from shunt placement. The grooved pegboard test (GPT) and symbol-digit modalities test (SDMT) are psychometric measures of upper extremity motor and psychomotor speed. Herein, we sought to identify whether these tests could be used to objectively assess responsiveness to the CSF TT. We retrospectively reviewed patients with possible iNPH who were admitted to the Neurological or Neurosurgery Department of Peking Union Medical College Hospital for the CSF TT from March, 2013 to January, 2020. All patients were diagnosed according to the guidelines for the clinical diagnosis of iNPH published in 2005[1] and the Chinese consensus for iNPH.[2] The patients were recruited in the study according to the following criteria: (1) Patients completed the multi-time point assessment of walking and neuropsychological tests; and (2) Patients had undergone GPT and SDMT at least three times, including a baseline test. The exclusion criteria were as follows: (1) Patients who were unable to finish GPT and SDMT for any reason; and (2) Patients who could not tolerate 30 mL CSF drainage during the CSF TT. The Ethics Committee of the Peking Union Medical College Hospital approved this study (No. ZS-2505). All patients or their relatives signed written consent forms to participate. Age, sex, medical histories, and initial and full-blown symptoms were recorded. Patients also completed the mini-mental state examination (MMSE), Montreal cognitive assessment (MoCA), and activities of daily living (ADL) questionnaire. Patients underwent a brief neuropsychological battery assessment including the SDMT, Trail Making Test A, and the Stroop Color Word Task-C. The iNPH Grading Scale (iNPHGS) was used to rate the severity of each fundamental symptom of iNPH patients. All subjects underwent a CSF TT and head magnetic resonance imaging (MRI). Before and after the CSF TT, cognitive function and walking ability were evaluated by means of the 5 m up and go test (TUG), the 10 m walking test, the GPT (Model 32025, Lafayette Instrument, Lafayette, Indiana, USA), and a brief executive function battery. A video of the patients’ walking test performance was recorded. GPT and SDMT results were transformed to Z-scores according to the norm. The complex visual motor speed index was calculated as the mean of the GPT Z-score and SDMT Z-score according to the literature.[3] Additional evaluations were conducted at 8 h, 24 h, and 72 h after CSF TT. The criteria for CSF TT responders were chosen according to our previous report.[4] The continuous variables were described as mean ± standard deviation or median (Q1, Q3), as appropriate. The differences in the GPT, SDMT, and complex visual motor speed performance among the different time points were analyzed using a nonparametric paired sign rank sum test. The improvement ratio between the CSF TT responder and CSF TT non-responder groups were compared by the Mann–Whitney U test. The correlation between upper extremity motor function and diffusion tensor imaging (DTI) parameters was analyzed using Spearman’s correlation test. All statistical analyses were performed with SPSS 13.0 software (SPSS Inc., Chicago, IL, USA). The patients were recruited for this study included 29 CSF TT responders and 36 CSF TT non-responders. Among the 65 patients, 18 cases underwent DTI test, which was a selected test for patients. The regions of interest (ROIs) of DTI were the bilateral anterior and posterior periventricular white matter. The detailed method is provided in Supplementary Material, https://links.lww.com/CM9/B841. There were no statistically significant differences in age, sex, disease duration, iNPHGS scores, MMSE scores, MoCA scores, or 10 m walking time (all P >0.05), but there was a statistically significant difference in ADL questionnaire scores (t = 2.53, P = 0.02) [Supplementary Table 1, https://links.lww.com/CM9/B841] between the CSF TT responder and CSF TT non-responder groups. The GPT scores, SDMT performance, and complex visual motor index were statistically significantly improved at 24 h and 72 h after the CSF TT compared with those before the CSF TT (all P <0.01) [Supplementary Table 2, https://links.lww.com/CM9/B841]. We also correlated the improvement ratio of upper extremity test performance after CSF TT with the improvement ratio of the TUG scores, 10 m walking time, and steps on the same evaluation time. The results showed that the improvement ratio of the complex visual motor speed index at 72 h after the CSF TT was statistically significantly correlated with the improvement ratio of the TUG time (r = 0.32, P = 0.02) and borderline correlated with the 10 m walking step improvement ratio (r = 0.27, P = 0.05). Furthermore, we also found that there was a statistically significant difference in the maximum improvement ratio of the complex visual motor speed index (combined GPT with symbol-digit modalities) between the CSF TT responder and CSF TT non-responder groups (0.20 [0.15, 0.43] vs. 0.12 [0.02, 0.31], U = 256.5, P = 0.04). The maximum improvement ratios of the GPT scores were not significantly different between the two groups (0.24 [0.14, 0.32] vs. 0.19 [0.11, 0.36], U = 432.0, P = 0.24). The maximum improvement ratios of the SDMT scores were also not significantly different between the two groups (0.31 [0.16, 0.41] vs. 0.14 [0, 0.46], U = 292.5, P = 0.10) [Figure 1].Figure 1: Difference in the maximum improvement ratio of the upper limb-related tests between the CSF TT responder and CSF TT non-responder groups. * P <0.05. CSF: Cerebrospinal fluid; TT: Tap test.Head MRI examinations included clinical routine neuroimaging and DTI that were obtained by using a 1.5 T MRI unit (Signa Excite, General Electric, Milwaukee, WI, USA). During analyzing the DTI of iNPH patients, we found that the GPT performance borderline correlated with the left periventricular anterior horn fractional anisotropy (FA) and mean diffusivity (MD) values (r = –0.42, P = 0.08; r = –0.48, P = 0.05). The GPT results statistically significantly correlated with the right periventricular anterior horn FA values (r = –0.57, P = 0.01). The SDMT results were statistically significantly correlated with bilateral periventricular anterior FA and MD values (all P <0.05) [Supplementary Table 3, https://links.lww.com/CM9/B841]. Similar patterns were found in the correlation analysis of periventricular white matter lesion DTI parameters with the 10 m walking time and the TUG time results (all P <0.05) [Supplementary Table 3, https://links.lww.com/CM9/B841]. The present findings demonstrate that upper extremity motor functions can improve following a TT, providing an additional clinical response measure. The GPT, SDMT, and complex visual motor index could measure the changes after the CSF TT. The maximum improvement ratio of the complex visual motor index was statistically significantly higher in CSF TT responders than in CSF TT non-responders [0.20 (0.15, 0.43) vs. 0.12 (0.02, 0.31), U = 256.5, P = 0.04]. Our data supported that upper extremity motor function was impacted in iNPH patients, although lower extremity motor function is the primary concern in iNPH patients. There have been several studies on upper extremity motor function testing, for instance, line tracing tasks, GPT and finger tapping test, after CSF drainage tests, and shunting operations in iNPH patients.[3,5,6] We also found that the complex visual motor speed index was more useful in demonstrating significant differences between the CSF TT responder and CSF TT non-responder groups. The complex visual motor speed index might be a promising candidate measure to identify CSF TT responders. The correlation between upper extremity motor function and gait in iNPH patients was supported by the association of GPT scores, SDMT scores, and the complex visual motor index performance improvement ratio with the walking test improvement ratio at the corresponding time point. Furthermore, this study found that the GPT and SDMT results correlated with the DTI parameters of anterior periventricular horn white matter lesions. As has been reported, the reduction in the irregular type of periventricular hyperintensity located around the frontal horns after surgery was associated with clinical improvements in iNPH patients.[7] We speculated that the improvement of the upper extremity motor function in iNPH patients after CSF TT drainage was related to the periventricular hyperintensity located around the frontal horns and might be reversible through shunting. All the relationships supported that upper extremity motor function could be a reliable and useful assessment tool for iNPH patients. The strength of our study is the multiple time point assessments of upper extremity motor function. The study confirmed the enhancement of motor function following CSF TT, and was beneficial in determining the most suitable assessment time point and most effective measurements. Our study had several limitations. First, the sample size of patients undergoing surgery was small, and the predictive effect of upper extremity motor test performance on shunting outcome was not investigated. Second, only 18 patients underwent DTI analysis. Third, this was a pilot and retrospective study, and GPT and SDMT performance was analyzed among patients with iNPH who were able to walk and complete multiple time point evaluations after CSF TT. The application of the GPT in patients who are unable to ambulate needs to be explored in the future. Funding This study was supported by grants from the National Key Research and Development Program of China (No. 2020YFA0804500), the CAMS Innovation fund for Medical Sciences (No. 2016-12 M-1-004), and the National Natural Science Foundation of China (No.81550021). Conflicts of interest None.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.800

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.229
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2024
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