Abstract
Objectives
We aim to compare balance and gait parameters in patients diagnosed with Parkinson’s disease (PD) and normal pressure hydrocephalus (NPH).
Methods
A total of 13 patients with NPH, 20 with PD, and 13 healthy controls (HC) recruited in the study. Three IMU sensors (Ambulatory PD Monitoring Inc., OR, USA) were placed on the lumbar area and the feet of the participants. The balance evaluations comprised eight successive standing tasks; the modified clinical test of sensory interaction on balance test. These tasks involved standing with feet apart and eyes open as well as eyes closed on a firm and foam surface, standing with feet together and eyes open as well as eyes closed, and tandem stance with the right foot front and the left foot front. Functional evaluations of gait were conducted using the 10-M Walk Test (10 MWT), the 2 min-Walk Test (2 MWT), and the timed-up and go (TUG). Parameters of the gait and balance were analyzed and then compared.
Results
NPH patients displayed a notable decrease in both stride length and gait speed as compared with both PD patients and healthy participants. The balance tests revealed that the NPH group demonstrated significantly poorer performance, specifically in the feet-apart eyes-closed foam-surface test, and the tandem stance test. During the tasks while eyes were open on firm and foam surfaces, PD and NPH groups showed an increase in root mean square sway, range, and mean velocity (p<0.05) of sway in the anteroposterior plane. In addition, during the TUG test, the NPH group exhibited a significant prolongation in the time needed to complete the task and a decline in turning velocity as compared to PD, but no notable difference was seen in comparison to the HC group.
Conclusion
Our study indicated that the patients with NPH exhibited notably worse gait and balance measurements in comparison to both the PD patients and HC groups. These findings emphasize the significance of monitoring and managing gait and balance impairments in NPH patients. Sensor-based technologies may offer objective parameters for a more precise and efficient follow-up of these patients in terms of gait and balance.
Keywords: Ambulatory PD monitoring, balance, gait analysis, normal pressure hydrocephalus, Parkinson’s disease
Patients diagnosed with idiopathic normal pressure hydrocephalus (NPH) and Parkinson’s disease (PD) often exhibit gait problems that are characterized by a reduced speed of walking, shortened stride length, and poor balance control.[1]
Although balance impairment is typically observed with in the late stages of PD, patients may report subtle balance problems in the earlier stages, alongside other Parkinsonian symptoms. In addition, Parkinsonian symptoms occurred in other neurological disease may complicate the management of the disease.[2] Distinguishing between NPH and PD can present a challenge, particularly when the assessment concentrates primarily on gait and balance performance.[3]
The utilization of sensor-based technologies for measuring gait and balance is becoming increasingly popular. These user-friendly technologies provide objective and reproducible measurements in the assessment of movement disorders.[4] The wearable system, called ambulatory PD monitoring (APDM) inertial sensor (Opals and Mobility Lab), consists of three-axis accelerometers, gyroscopes, and a magnetometer.[5,6] Assessment of the postural sway provides information on postural instability. Measurements, such as area, velocity, frequency, and jerk, can be employed to describe postural sway. These metrics can provide valuable insights into the underlying mechanisms of postural control and balance impairment and can be useful in the assessment of various clinical populations.[7-9] Force platforms are common tools for evaluating posture in a quantitative manner. Several studies have used force platforms to assess postural sway in PD or NPH patients and have reported abnormalities.[10-12] However, few studies have compared balance problems and gait impairment in these patients. The primary aim of our study is to compare gait and balance in newly diagnosed NPH patients, PD patients, and healthy subjects using sensor-based technologies. The secondary aim is to investigate the role of sensor-based technologies as an additional tool to complement neurological findings with objective measurements.
Methods
Twenty patients diagnosed with PD based on the internationally recognized diagnostic criteria,[13] 13 patients with a diagnosis of probable NPH according to the guidelines,[14] and 13 healthy individuals as a control group were enrolled. Patients were recruited from the Departments of Neurology and Neurosurgery at the Koc University Hospital (Istanbul, Turkey). All the participants gave informed consent. The demographic characteristics of all cases, such as age and gender, were recorded. The disease severity and stage in Parkinson’s patients were determined using the MDS-UPDRS Part 3 and Hoehn and Yahr (H and Y) scale. All participants were invited to the motion analysis laboratory for gait and balance assessments. All assessment parameters were recorded following the APDM Mobility Laboratory System (APDM Inc., Portland, OR, USA) Guidelines. During the gait task, three IMU sensors were attached to the participants’ feet and lumbar area to evaluate spatiotemporal parameters, trunk angles, and turning angles as well as velocity. All the participants performed the 10-M Walk Test (10MWT) and the 2-min Walk Test (2MWT). Balance assessment included the modified clinical test of sensory interaction on balance with the feet together and eyes open or closed, tandem stance on the right or left foot front, and the TUG test. The duration of stance tasks was recorded with a maximum duration of 30 s.
Measurements began only after the participant had a stable and appropriate position. Participant was asked to complete a task. The test was terminated if the participant moved to regain balance, and the duration was recorded.
Statistical Analysis
Categorical data were shown as numbers and percentages, whereas continuous variables were reported as the median (interquartile range). Scales and gait metrics underwent correlation analysis. GraphPad program Inc., La Jolla, California, USA, GraphPad Prism program 8.4.3., the Anderson-Darling, and D’Agostino and Pearson tests were used to assess the normality assumptions. The correlation between the dependent gait data and UPDRS, and H and Y were performed with the Pearson correlation test.
Chi-square analysis was conducted for eight balance tasks between the groups, and the numbers of patients who completed and did not complete the balance tests are detected.
In the IMU-based sensor analysis for balance, gait, and the TUG test, a t-test was utilized to compare the groups, and a one-way ANOVA was performed to assess overall group differences.
Ethical Approval
The Ethics Committee of Koç University (Date: November 12, 2020, number: 2020.418, IRB1, 157) approved the study. All procedures were performed in accordance with the ethical standards set by the Declaration of Helsinki, and all participants provided written informed consent.
Results
This study included 20 Parkinson’s patients (12 males and eight females) with a mean age of 69.1 (range 68–76), 13 NPH patients (seven males and six females) with a mean age of 69.71 (range 60–70), and 13 healthy participants (seven males and six females) with a mean age of 69.71 (range 60–70).
The demographic characteristics and clinical details of the patients are reported in Table 1.
Table 1.
Demographics and clinical features of the patients and the healthy controls
| PD (n=20) | NPH (n=13) | HC (n=13) | p | |
|---|---|---|---|---|
| Age, year Mean (SD) | 69.10 (6.92) | 71.92 (4.11) | 69.23 (9.03) | ns 0.48 |
| Sex (n) F:M | 8:12 | 6:7 | 6:7 | ns 0.91 |
| Disease duration, years Mean (SD) | 4.16 (3.53) | 2.5 (1.50) | - | ns 0.21 |
| UPDRS Mean (SD) | 22.06 (10.80) | - | - | - |
PD: Parkinson’s disease; NPH: Normal pressure hydrocephalus; HC: Healthy control; SD: Standard deviation; n: Number; ns: Not significant.
Table 2 summarizes all the gait parameters. Table 3 shows the analysis of the TUG parameters.
Table 2.
Gait parameters of participants
| PD (n=20) | NPH (n=13) | HC (n=13) | p t-test NPH versus PD |
p t-test PD versus HC |
p t-test NPH versus HC |
p One-way ANOVA |
|
|---|---|---|---|---|---|---|---|
| Gait speed (m/s) | 0.980±0.21 | 0.620±0.22 | 0.922±0.20 | 0.001 | 0.68 | 0.002 | 0.0001 |
| Cadence (step/min) | 103.3±13.27 | 98.86±16.17 | 104.1±6.95 | 0.39 | 0.85 | 0.29 | 0.52 |
| Stride length (m) | 1.01 (0.940–1.14) | 0.771 (0.472–0.975) | 1.09 (0.957–1.19) | 0.001 | 0.37 | 0.001 | 0.001 |
| Step time (s) | 0.592±0.07 | 0.630±0.10 | 0.573±0.04 | 0.35 | 0.70 | 0.09 | 0.31 |
| Stance phase (% GCT) | 61.18 (59.62–62.90) | 64.24 (62.99–67.10) | 61.02 (60–61.83) | 0.002 | 0.77 | 0.003 | 0.004 |
| Swing phase (% GCT) | 38.82 (37.10–40.38) | 35.76 (32.83–37.01) | 38.99 (37.99–39.84) | 0.002 | 0.97 | 0.004 | 0.004 |
| Double support phase (% GCT) | 22.32 (19.20–25.95) | 28.58 (26–34.37) | 22.04 (20–23.60) | 0.004 | 0.78 | 0.003 | 0.005 |
| Elevation at midswing (cm) | 1.95±1.01 | 1.66±0.77 | 1.72±0.62 | 0.38 | 0.47 | 0.83 | 0.58 |
| Lateral step variability (cm) | 2.61±0.66 | 2.30±0.87 | 2.97±0.89 | 0.25 | 0.20 | 0.06 | 0.11 |
| Circumduction (cm) | 2.54 (2.02–3.03) | 1.41 (0.94–1.98) | 2.75 (1.92–3.32) | 0.0004 | 0.72 | 0.001 | 0.001 |
| Foot strike angle (degree) | 16.81±5.64 | 12.70±6.47 | 21.85±6.95 | 0.06 | 0.02 | 0.002 | 0.002 |
| Toe off angle (degree) | 34 (30.78–35.99) | 24.94 (19.48–30.06) | 33.92 (30.37–37.40) | 0.0006 | 0.73 | 0.003 | 0.001 |
| Toe out angle (degree) | 12.21±5.16 | 12.85±9.44 | 11.23±8.56 | 0.80 | 0.68 | 0.65 | 0.85 |
PD: Parkinson’s disease; NPH: Normal pressure hydrocephalus; HC: Healthy control; SD: Standard deviation; n: Number; ns: Not significant.
Table 3.
The timed up and go test parameters between groups
| PD (n=20) | NPH (n=13) | HC (n=13) | p t-test PD versus NPH |
p t-test PD versus HC |
p t-test NPH versus HC |
p One-way ANOVA |
|
|---|---|---|---|---|---|---|---|
| Total duration, s Mean (SD) |
10.81 (2.92) | 14.78 (4.04) | 11.67 (2.85) | 0.003 | 0.50 | 0.054 | 0.01 |
| Sit-to-stand duration, s Mean (SD) |
1.17 (0.39) | 1.12 (0.10) | 0.99 (0.12) | 0.21 | 0.21 | 0.36 | 0.10 |
| Stand-to-sit duration, s Mean (SD) |
0.92 (0.25) | 0.99 (0.26) | 0.87 (0.13) | 0.50 | 0.61 | 0.26 | 0.56 |
| Turn angle, degree Mean (SD) |
179.1 (11.73) | 165.1 (26.64) | 180.5 (11.66) | 0.09 | 0.74 | 0.16 | 0.19 |
| Turn duration, s Mean (SD) |
2.31 (0.54) | 2.77 (0.54) | 2.46 (0.60) | 0.02 | 0.50 | 0.21 | 0.08 |
| Turn velocity, degree/s Mean (SD) |
166.1 (40.21) | 128.1 (43.51) | 161.0 (43.11) | 0.009 | 0.74 | 0.07 | 0.03 |
TUG: Timed up and go; PD: Parkinson’s disease; NPH: Normal pressure hydrocephalus; HC: Healthy control.
Comparing the NPH group to both PD patients and healthy subjects revealed that they had substantially slower gait speed (p=0.001) and reduced stride length (p=0.0004). The PD group did not reveal any notable differences in stride length or gait speed compared to controls.
The NPH group demonstrated increased values in the double support phase and stance phase, and lower values in the swing phase. However, no notable differences were seen in the gait phases of the patients within PD and healthy control (HC) groups. In the NPH group, the toe off angle was decreased compared to both HC and PD groups.
The results of the time to complete balance tests in 30 s are shown in Table 4. The NPH group exhibited significantly worse performance in balance tests, particularly in the feet-apart eyes-closed foam-surface test and the tandem stance test, both of which showed a decline in performance within 30 s.
Table 4.
Achieving balance tests in 30 s
| HC (n) Able to: Unable to | PD (n) Able to: Unable to | NPH (n) Able to: Unable to | p HC versus NPH |
p PD versus NPH |
p HC versus PD |
p overall |
|
|---|---|---|---|---|---|---|---|
| FA_EO_Firm | 13:0 | 20:0 | 13:0 | na | na | na | na |
| FA_EC_Firm | 13:0 | 20:0 | 13:0 | na | na | na | na |
| FA_EO_Foam | 13:0 | 20:0 | 13:0 | na | na | na | na |
| FA_EC_Foam | 13:0 | 19:1 | 9:4 | 0.02 | 0.04 | 0.41 ns | 0.02 |
| FT_EO | 13:0 | 20:0 | 13:0 | na | na | na | na |
| FT_EC | 13:0 | 19:1 | 11:2 | 0.14 ns | 0.31 ns | 0.41 ns | 0.26 ns |
| Tandem Right_EO | 13:0 | 17:3 | 6:7 | 0.002 | 0.01 | 0.14 ns | 0.002 |
| Tandem Left_EO | 13:0 | 17:3 | 5:8 | 0.0007 | 0.005 | 0.14 ns | 0.0005 |
FA_EO_Firm: Feet apart eyes open on firm surface; FA_EC_Firm: Feet apart eyes closed on firm surface; FA_EO_Foam: Feet apart eyes open on foam surface; FA_EC_Foam: Feet apart eyes closed on foam surface; FT_EO_Firm: Feet together eyes open; FT_EC_Firm: Feet together eyes closed; na: Not applicable; ns: Not significant.
Balance parameters are shown in Table 5. Both the PD and NPH groups exhibited significant increases in mean velocity in the transverse and sagittal planes (p<0.05). The NPH group showed significantly higher root mean square sway compared to the PD and HC groups.
Table 5.
Balance parameters between patients and healthy controls during feet apart eyes open on foam surface task
| PD (n=20) |
NPH (n=13) |
HC (n=13) |
p t-test PD versus NPH |
p t-test PD versus HC |
p t-test NPH versus HC |
p One-way ANOVA |
|
|---|---|---|---|---|---|---|---|
| Sway area | 0.110 (0.072–0.248) | 0.231 (0.163–0.330) | 0.161 (0.062–0.208) | 0.01 | 0.84 | 0.052 | 0. 04 |
| RMS sway | 0.118 (0.097–0.188) | 0.161 (0.141–0.197) | 0.131 (0.084–0.154) | 0.01 | 0.68 | 0.02 | 0.03 |
| RMS sway (Sagittal) | 0.098 (0.079–0.146) | 0.125 (0.107–0.132) | 0.096 (0.067–0.125) | 0.04 | 0.35 | 0.009 | 0.02 |
| Mean velocity | 0.272±0.12 | 0.284±0.08 | 0.179±0.06 | 0.63 | 0.02 | 0.002 | 0.01 |
| Mean velocity (Sagittal) | 0.202±0.10 | 0.208±0.06 | 0.127±0.04 | 0.59 | 0.03 | 0.001 | 0.01 |
| Path length | 9.37 (6.95–13.66) | 12.67 (10.03–13.49) | 10.27 (7.86–12.59) | 0.11 | 0.61 | 0.14 | 0.20 |
| Path length (Sagittal) | 7.23±3.24 | 8.86±2.26 | 7.67±3.03 | 0.14 | 0.70 | 0.28 | 0.34 |
| Jerk | 2.75 (1.10–4.84) | 4.15 (2.73–4.51) | 3.20 (1.34–4.37) | 0.20 | 0.58 | 0.27 | 0.33 |
| Jerk (Sagittal) | 2.95 (1.16–5.71) | 4.22 (2.84–6.42) | 3.24 (1.54–5.33) | 0.09 | 0.55 | 0.20 | 0.19 |
| Range | 0.616 (0.535–0.875) | 0.923 (0.711–1.06) | 0.747 (0.504–0.850) | 0.03 | 0.98 | 0.12 | 0.10 |
| Range (Sagittal) | 0.539 (0.438–0.778) | 0.644 (0.599–0.747) | 0.558 (0.368–0.662) | 0.13 | 0.47 | 0.03 | 0.09 |
PD: Parkinson’s disease; NPH: Normal pressure hydrocephalus; HC: Healthy control; RMS: Root mean square.
Discussion
Our study aimed to compare gait among patients with NPH, PD, and healthy participants using wearable sensors.
Gait impairments in PD are believed to be caused by underlying pathology in subcortical brain areas, while in NPH, both frontal and subcortical areas are hypothesized to be involved.[15,16] Our study found that patients with NPH had significantly lower gait speed and stride length when compared with both PD and healthy participants. However, the PD group did not display any notable differences in stride length or gait speed compared to controls.
Reduced gait speed as well as stride length in PD and NPH patients have been reported in previous studies.[1,17] Our results indicate that reduced length of stride and speed of gait were only evident in the NPH group. The lack of stride length and gait speed reduction in the PD group may be due to the fact that these patients were in the early stages of PD and receiving optimal medication. Moreover, our study found that the NPH group demonstrated an augmentation in the double support phase and stance phase and a reduce in the swing phase. In contrast, no notable differences were seen in the gait phases of the PD and HC groups. Furthermore, the toe-off angle was notably decreased in the NPH compared with both the control and PD groups. These alterations in gait phases are consistent with the clinical finding of NPH, which is commonly referred to as “magnetic gait.”[1,18,19]
Every participant included in our study was capable of performing the eyes open on foam stance task. However, the use of IMU sensors revealed that both PD and NPH groups had significantly increased mean velocity in both transverse and sagittal planes (p=0.01) compared with the healthy participants. This finding suggests that the use of IMU sensors can provide sensitive measures of postural instability in patients with neurological conditions particularly in the early stages of PD, which may not be detected by clinical assessments alone.[20]
Furthermore, our results showed that the NPH group exhibited notably worse on balance tests as compared with the PD and HC groups. This finding is consistent with the augmented risk of falls observed in NPH, which may be attributed to the underlying balance and gait impairments related to the condition.[12,17,21,22]
The identification and quantification of gait and balance impairments through objective assessments, such as balance tests, can be valuable in guiding the advancement of effective management to decrease the risk of falls in NPH and PD. Further clinical studies are necessary to investigate the potential benefits of incorporating balance tests into the practical assessment and management of patients with NPH and PD.
The limitation of our study is the lack of PD patients in late stages who may have severe gait problems. Furthermore, all the PD patients were in a state of being “on.” Future studies should expand to include late-stage PD patients and all PD patients in both “on” as well as “off” states to offer a more thorough comprehension of the disease progression.
Conclusion
Sensor-based gait analysis is a practical approach that can provide quantitative measurements. Tandem stance and eyes open tasks may be a valuable clue in assessing balance problems in NPH and PD patients. Additional studies are necessary to explore the potential differences in gait patterns and to enhance the diagnosis and treatment between different stages of PD and NPH.
Footnotes
Please cite this article as ”Cakmak OO, Akar K, Youssef H, Samanci MY, Ertan S, Vural A. Comparative Assessment of Gait and Balance in Patients with Parkinson’s Disease and Normal Pressure Hydrocephalus. Med Bull Sisli Etfal Hosp 2023;57(2):232–237”.
Disclosures
Ethics Committee Approval
The study was approved by the Ethics Committee of Koç University (No: 2020.418, IRB1,157, dated 12.01.2020).
Peer-review
Externally peer-reviewed.
Conflict of Interest
None declared.
Authorship Contributions
Concept – O.O.C., K.A., A.V., H.Y., S.E.; Design – O.O.C., K.A., A.V., H.Y., S.E.; Supervision – O.O.C., K.A., A.V., H.Y., S.E.; Fundings: A.V., K.A., H.Y.; Materials – O.O.C., A.V., Y.S., S.E.; Data collection &/or processing – O.O.C., K.A., A.V., H.Y., Y.S., S.E.; Analysis and/ or interpretation – O.O.C., K.A., A.V., H.Y., S.E.; Literature search – O.O.C., K.A., A.V., H.Y., Y.S., S.E.; Writing – O.O.C., K.A.; Critical review – O.O.C., K.A., A.V., H.Y., Y.S., S.E.
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