Next Article in Journal
Assessment Tools for Measuring Health Literacy and Digital Health Literacy in a Hospital Setting: A Scoping Review
Next Article in Special Issue
Effectiveness of Proprioceptive Body Vibration Rehabilitation on Motor Function and Activities of Daily Living in Stroke Patients with Impaired Sensory Function
Previous Article in Journal
Exploring the Information Sources Consulted by Doctors at the Point of Care in Four Selected South African Referral Hospitals
Previous Article in Special Issue
Does Lower-Limb Tendon Structure Influence Walking Gait?
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Effectiveness of a Single Dry Needling Session on Gait and Quality of Life in Multiple Sclerosis: A Double-Blind Randomized Sham-Controlled Pilot Trial

by
Alberto Javier-Ormazábal
1,2,
Montserrat González-Platas
2,3,
Alejandro Jiménez-Sosa
4,
Pablo Herrero
5,6,* and
Diego Lapuente-Hernández
5,6
1
Division of Physiotherapy, Hospital Universitario de Canarias, Carretera Ofra S/N, 38320 San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain
2
Research Institute of Biomedical and Health Sciences, Universidad de Las Palmas de Gran Canaria, C. Juan de Quesada 30, 35001 Las Palmas de Gran Canaria, Las Palmas, Spain
3
Division of Neurology, Hospital Universitario de Canarias, Carretera Ofra S/N, 38320 San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain
4
Research Unit, Hospital Universitario de Canarias, Carretera Ofra S/N, 38320 San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain
5
Department of Physiatry and Nursing, Faculty of Health Sciences, University of Zaragoza, C/Domingo Miral s/n, 50009 Zaragoza, Zaragoza, Spain
6
iHealthy Research Group, IIS Aragon, Avda San Juan Bosco 13, 50009 Zaragoza, Zaragoza, Spain
*
Author to whom correspondence should be addressed.
Healthcare 2024, 12(1), 10; https://doi.org/10.3390/healthcare12010010
Submission received: 29 November 2023 / Revised: 14 December 2023 / Accepted: 18 December 2023 / Published: 19 December 2023

Abstract

:
Introduction: Gait disorders are a major cause of disability and reduced health-related quality of life in people with multiple sclerosis (pwMS). Dry needling (DN) has demonstrated positive results to improve gait parameters in patients with stroke. The main aim of this study was to evaluate the effect of a single session of DN in the gait performance of pwMS. Methods: A double-blind parallel randomized sham-controlled pilot trial was conducted. Study participants received a single session of active DN or sham DN in the gastrocnemius medialis muscle. Pre-treatment and immediately post-treatment measurements were taken, as well as at one and four weeks after the intervention. Outcomes related to gait performance (Timed 25-Foot Walk), self-perceived walking capacity (Multiple Sclerosis Walking Scale), risk of falls (Timed Up and Go test), disability level (Expanded Disability Status Score) and quality of life (Multiple Sclerosis Quality of Life-54 questionnaire and Analogic Quality of Life scale) were evaluated. Results: 18 patients who had multiple sclerosis participated in the study. The group who received active DN showed within-group significant statistical differences immediately after treatment for gait performance (p = 0.008) and risk of falls (p = 0.008), as well as for self-perceived walking capacity at one week (p = 0.017) and four weeks (p = 0.011) and quality of life at four weeks (p = 0.014). Regarding the comparison between groups, only significant results were obtained in the physical domain of the quality of life at four weeks (p = 0.014). Conclusions: DN seems to be a promising therapeutic tool for the treatment of gait disorders in pwMS. However, when results were compared with sham DN, no differences were found.

1. Introduction

Multiple Sclerosis (MS) is the most common inflammatory neurological disease in young adults [1]. This condition can include a great variety of neurological manifestations such as optic neuritis, diplopia, sensory loss, spasticity, limb weakness, gait ataxia, loss of bladder control and cognitive dysfunction, amongst others [2]. Its etiology is complex and multifactorial, with genetic and environmental interactions predominant in women (3:1) and considered the second cause of disability in young adults (25–30 years old) [3]. The total estimated prevalence rate of MS for the past three decades in Europe is 83 cases per 100,000, with a mean annual incidence rate of 4.3 cases per 100,000 [4]. MS puts forward a very significant challenge to both healthcare systems and global society due to productivity losses and caregiver burdens, with the costs of drugs considered one of the main associated costs [5]. In Spain, the total cost associated with MS is estimated at EUR 1395 million per year, and the mean annual cost per patient of EUR 30,050, as well as a great impact on the quality of life of patients, with an annual loss of up to 13,000 quality-adjusted life years [6].
MS may affect the brain, brainstem, spinal cord and optic nerves and may lead to different balance and gait impairments, as well as increasing the risk of falls [7]. Unlike other neurological diseases, the progression of disability in pwMS can vary from day to day and throughout the day due to changes in temperature, fatigue and activity. Therefore, walking impairments may change gradually over time or may appear with a sudden onset, with about 80% of pwMS having walking difficulties during their illness. Gait disorders are a hallmark of MS [8], with a decreased cadence and speed and an increased stride-to-stride variability [9,10] being the most relevant. Therefore, the improvement in walking ability is a primary goal for rehabilitation treatment in pwMS [11]. Ambulation difficulty has functional and emotional consequences in pwMS and is a major cause of disability and reduced health-related quality of life. As symptoms worsen, quality of life worsens and healthcare utilization increases [12,13].
The main focus of rehabilitation treatments in pwMS is improving weakness, balance and gait [14,15]. Dry Needling (DN) has been demonstrated to be effective for improving gait in patients with stroke [16,17], whereas, in other populations such as Parkinson’s Disease [18] or Spinal Cord Injury [19], its effect is still unclear. To date, only two case reports have been carried out to study the effect of DN on the gait of pwMS, suggesting that it may be an intervention that improves mobility and gait speed [20,21]. However, there is no existence of any randomized controlled trial evaluating the effect of DN on the gait of pwMS. Therefore, the main aim of this clinical trial was to evaluate the effect of a single session of DN in their gait performance. Secondarily, it was also to assess the effects of DN on self-perceived walking capacity, the risk of falls, the level of disability and the quality of life.

2. Materials and Methods

2.1. Study Design

A double-blind parallel randomized sham-controlled pilot trial was conducted. This study was designed according to Consolidated Standards of Reporting Trials guidelines (CONSORT) and all the procedures were applied in accordance with the Declaration of Helsinki. The ethical approval was obtained from the Clinical Research Ethics Committee of Hospital Universitario de Canarias, Canary Islands, Spain (CHUC_2023_40). The study was prospectively registered in ClinicalTrials.gov (NCT05956119). All patients signed an informed consent document before participating.

2.2. Participants

The study was carried out in the neurology service of Hospital Universitario de Canarias between July and October 2023. The inclusion criteria were the following: (1) diagnosed with multiple sclerosis in a period of more than two years prior to the start of study recruitment, (2) aged between 18 and 60 years, and (3) having a score > 2 on the Expanded Disability Status Score and specifically >2 in the “Pyramidal” domain, with the gastrocnemius medialis affected. The exclusion criteria were the following: (1) an insurmountable fear of needles, (2) presenting a specific outbreak of the disease in the last two months before starting the study, and (3) receiving other concomitant treatments or changes in the usual treatment which may interfere with the study results.

2.3. Randomization and Blinding

Participants were informed of the study and agreed to participate by signing the informed consent form. Following the baseline assessment, participants were randomly assigned to each group with a 1:1 allocation ratio. Randomization was achieved using an online research randomizer sequence generator (http://www.randomizer.org (accessed on 9 May 2023)) by an independent researcher. After randomization, the physical therapist performed the treatment according to the assignments. Assessment and data analysis were carried out by a researcher who was blinded to participant’s treatment allocation. Participants were also blinded and were asked not to reveal any information related to the treatment to the researcher performing the assessments.

2.4. Interventions

The intervention group (IG) received one session of DN in the gastrocnemius medialis muscle (see Figure 1), whereas the control group (CG) received one session of sham DN in the same muscle. Participants didn’t receive any other physiotherapy treatments during the study. Both interventions were performed by the same physical therapist with five years of experience with DN. Before performing the active DN or the sham intervention, the skin was disinfected with a gauze and alcohol. The gastrocnemius medialis was placed in submaximal stretch position, following the criteria for DN in neurological patients [22]. The treatment consisted of a single session of DN with disposable stainless-steel needles (0.3 mm × 40 mm, Agupunt, Barcelona, Spain) with a pistoning technique performed at 1 Hz for approximately 30 s for the IG, whereas for the CG a single session of sham DN using a monofilament, without introducing it through the skin but simulating the sensation of the needle for 30 s, was carried out. To offer the greatest possible blinding to the study, all patients were placed face down without visualizing the technique being performed and the procedure was replicated for both groups, mimicking the context when performing any DN treatment (e.g., hemostatic compressions after procedures were identical in both interventions). Patients were treated only on one side, the one exhibiting more spasticity.

2.5. Outcomes

Outcome measures were assessed before treatment, immediately after treatment and at one week and at four weeks follow-up by a neurologist specialized in MS who was blinded to the group allocation. The outcomes that were measured at each of the follow-up moments are detailed in Figure 2.

2.6. Primary Outcome

Gait performance. The Timed 25-Foot Walk (T25FW) was used to measure gait performance. This is considered the “gold standard” to assess gait speed in pwMS. The test measures the time in seconds that the patient needs to walk 25 feet (7.5 m). The test was conducted twice, and the mean value was calculated to improve its validity and reliability [23]. The T25FW is considered reliable to assess ambulation changes in pwMS [24].

2.7. Secondary Outcomes

Self-perceived walking capacity. The Multiple Sclerosis Walking Scale (MSWS-12) was used to quantify the impact of MS on the individual’s walking ability [25]. Each item is scored from 1 (no limitation) to 5 (extreme limitation), with a total score ranging from 12 to 60, where higher values show higher impairment. MSWS-12 shows properties which make it suitable for use in clinical practice, specifically for patients with medium to high levels of walking disability [26]. Test–retest reliability has been confirmed, and MSWS-12 is considered a valid, reliable and responsive self-reported measurement of walking impairment in pwMS [27].
Risk of falls. The Timed up and go test (TUG) was used to assess participants’ potential risk of falls. This test was designed initially to measure the probability of falls among older adults but has been validated also for other populations such as pwMS [28]. Participants sit in a chair with their backs supported by the back of the chair and their arms resting on the armrests. Participants are asked to stand up and walk 3 m, to turn on themselves (360°) and walk back to the chair and sit down again. The participants performed the test twice and the mean value was chosen. The TUG has shown to be reliable for assessing the walking capacity and the general mobility of pwMS with mild disability [28]. Test–retest reliability and reproducibility have been also confirmed.
Disability level. The level of disability in the different aspects of the person was measured by the Expanded Disability Status Score (EDSS). This scale is used to measure eight different domains from 0 to 10: (1) visual (eye fundus, scotoma, diopters, etc.); (2) brainstem (nystagmus, dysphagia, dysarthria, etc.); (3) pyramidal (extremity strength, reflexes, etc.); (4) cerebellum (ataxias, dysmetria); (5) sensitive (cutaneous, vibratory, deep sensitivity); (6) vesical/intestinal (micturition dysfunction, intestinal, urgency, incontinence, catheterization, etc.); (7) mental and (8) ambulation. EDSS is a standard instrument for assessing pwMS and has been used in clinical trials to assess the effectiveness of clinical interventions in pwMS [29]. The test was carried out by a neurologist specializing in MS.
Quality of life. To evaluate the degree of quality of life of the person, two scales were used. On the one hand, it was measured by The Multiple Sclerosis Quality of life-54 questionnaire (MSQol 54). This is a specific quality of life questionnaire for MS. This is a self-assessment questionnaire composed of 54 items, divided into a physical and a mental domain. The range goes from 0 to 100, where 100 is the highest degree of quality of life. The Spanish version of the MSQoL 54 instrument has shown to be a valid and reliable instrument for measuring quality of life in pwMS [30,31]. On the other hand, it was measured by the Analogic Quality of Life scale (AQL). In this test, the patient indicates his or her quality of life on a line or scale, ranging from the ‘best possible quality of life’ to the ‘worst possible quality of life’ [32]. Earlier studies have demonstrated this to be a valid and reliable measure of quality of life [33]. It also has a good validity and an excellent reliability and because of this it is used to measure the global quality of life in clinical trials [34]. Both scales were carried out by a blinded evaluator.

2.8. Data Analysis

Statistical analysis was performed using SPSS statistics version 25.0 (SPSS Inc., Chicago, IL, USA). Descriptive results for continuous data were expressed as means and standard deviations, while nominal data were described as percentages. Comparisons between groups at baseline were performed with the Mann–Whitney U test. Global within-group comparisons were performed using the Friedman test. If the overall test was significant, comparisons were carried out with the baseline values using the Wilcoxon test. Differences between groups in the treatment effect (comparison pre- and post-intervention) and in the different follow-ups (after 1 and 4 weeks) were analyzed with the Mann–Whitney U test. In all cases, p values <0.05 were considered statistically significant.

3. Results

18 patients (45.71 ± 7.64 years; women 62%) who met the eligibility criteria agreed to participate and were randomized into the DN group (n = 9) or the sham DN group (n = 9). The reasons for ineligibility of the subjects are specified in the study flowchart (Figure 3). There were no significant differences between groups regarding demographic and clinical characteristics at baseline (p > 0.05) (Table 1). All participants completed the treatment intervention. During the trial, no adverse events were registered.
Gait performance, measured with the T25FW test, showed within-group significant statistical differences for the active DN group only immediately after treatment (p = 0.008), although this effect was not maintained after one week (p = 0.512) and four weeks (p = 0.260). The risk of falls, evaluated with the TUG test, also decreased immediately after treatment (p = 0.008), but the effects were not maintained after one week (p = 0.110) and four weeks (p = 0.678). On the other hand, self-perceived walking capacity, measured with the MSWS-12, had significant within-group differences at one-week (p = 0.017) and at four-week (p = 0.011) follow-ups, as well as the quality of life measured with the physical domain of the MSQol-54 at four weeks (p = 0.014). However, the disability level assessed with the EDSS did not have significant changes at any time points (see Table 2).
When both groups were compared, there were only significant improvements at the four-week follow-up for the physical domain of the MSQOL-54 in favor of the intervention group (p = 0.014). The results for all the measures and the time points are summarized in Table 2.

4. Discussion

To our knowledge, this is the first randomized and controlled study that aims to evaluate the effect of a single session of DN on the gait performance and walking capacity of pwMS. In this sense, we have only found a protocol of a randomized clinical trial that has yet to have its results published [35]. Our results show that DN in pwMS has positive effects in gait performance and in the risk of falls immediately after the application of a single session, as well as in self-perceived walking capacity at one and four weeks. However, when results were compared with sham DN, no differences were found. Therefore, although the study results may suggest a positive effect of DN, the risk of underpowering to detect a difference between groups cannot be ruled out.
There is much evidence that supports the effectiveness of DN in the treatment of spasticity in neurological disorders [36,37]; however, its use in treatments aimed at improving gait has hardly been studied, especially in pwMS. A previous case report obtained results similar to ours, confirming our initial hypothesis that DN seems to improve walking speed measured with the T25FW [18]. However, in our study, the minimally important clinical difference in T25FW for pwMS, established as changes from baseline of around 17.2% to 20% or 2.7 s [38,39,40], has not been achieved.
Although the impact that DN has on gait in different populations of patients with neurological impairments needs to be further researched, it is known that it decreases the abnormal electrical activity characterizing MTrPs in spastic muscles [41] and provokes a mechanical disruption of the dysfunctional endplate area [42]. In patients with stroke, DN has shown to have effects on gait speed [17], whereas in other neurological conditions such as pwMS, it is yet unknown if DN may have clinical effects. When assessing pwMS, it is important to consider also qualitative changes in gait, as DN has shown also to have neuromodulation effects at different levels [43,44]. This involves that some patients may experience improvements in self-perceived walking capacity despite not achieving relevant clinical changes in the quantitative parameters of gait.
Because of the effects that DN may have, other aspects evaluated directly related to walking and functionality were self-perceived walking capacity, risk of falls and disability level, all of which are involved in the progression and prognosis of the disease and the person who suffers from it. The incidence of falls in pwMS is estimated to be more than 50% at least once within a 3 month period, like in adults older than 80 years, with the physical, social and psychological impact that this entails for the individual [45]. Amongst the factors associated with the risk of falls or predictors of future falls, altered balance, reduced walking speed, a higher level of disability, decreased self-efficacy and perceived balance confidence stand out [46,47,48,49]. In this sense, the results shown in our study seem encouraging, despite not having found differences between groups.
Increased fatigue and low walking activity levels are significantly associated with increased fall risk and lower quality of life in people with MS, as well as with increased socioeconomic costs [50,51]. Regarding quality of life, in our study, this was the only outcome in which differences were observed when comparing active DN and sham DN, with improvements occurring in favor of the intervention group at four weeks in the physical domain, measured with the MSQoL-54 scale. Similar improvements have also been found after the application of DN in patients with subacute [52] and chronic stroke [22]. In pwMS, these results in quality of life have also been found in the study by Del Pilar Pérez-Trujillo et al. [21], in which 12 sessions of DN significantly improved quality of life.
The exact number of sessions of DN necessary to have clinical benefits in different outcomes has not yet been defined, with a wide variety of protocols having been published. Therefore, this type of study is important since it demonstrates the potential effectiveness of a single DN session in different clinical outcomes and can establish the future protocols in which the exact number and time of treatment required for the treatment of musculoskeletal disorders like MS can be determined. Similar results have been found in the application of DN in patients with stroke [16], although the participants in these studies were treated in more muscles and received more sessions. In pwMS, the only notable study is the one previously mentioned by Del pilar Pérez-Trujillo et al. [21] in which the technique was performed on more muscles of the lower limbs and not only on the gastrocnemius medialis muscle.
The main strength of the study is that this is the first randomized, double-blind pilot study that analyzes the effect of DN in pwMS, which also includes a four-week follow-up. However, there are a few limitations that must be considered when interpreting the results. Firstly, the greatest limitation is the reduced sample size, which may explain not finding differences between groups despite having a positive effect in the active DN group. pwMS present a great variability in symptomatology, degree of disability and disease progression, which makes a large sample size necessary to avoid these biases. Nevertheless, other similar studies in neurological populations also present limited samples [52,53,54,55,56,57] and this pilot study builds the framework for future studies focused on the management of gait disorders in pwMS, allowing us to use the values obtained for future sample size calculation. On the other hand, another aspect that may have affected the study population is that the experimental part of the study was carried out in summer, with extremely high temperatures, since it has been observed that this can significantly affect physical and mental abilities of pwMS [58,59]. Finally, other possible explanations for not finding differences between groups would be that only a single DN session was performed and only a single muscle was needled, the gastrocnemius medialis in this case.
Future studies that address the same topic should include larger and more homogeneous samples, evaluating the effects of needling more muscles and more sessions, also with longer follow-up times to evaluate the effect of DN also in the long term. Moreover, other invasive techniques should be evaluated, as it is the case of percutaneous neuromodulation, which showed promising effects in the treatment of musculoskeletal disorders in pwMS [60], although cause–effect relationships cannot be established due to the fact that it is a case report. Furthermore, it would be interesting to carry out cost-effectiveness studies of DN in pwMS in comparison with other therapies or even with drugs such as fampridine in the same way that has been done in chronic stroke [61], as well as the value of adding DN to a program of neurorehabilitation, something already studied in the population with stroke [53].

5. Conclusions

DN seems to be a promising treatment to improve gait performance, risk of falls and self-perceived walking capacity. However, a single session of DN performed in the gastrocnemius medialis does not seem to have enough effect to achieve significant changes when compared to sham DN. On the other hand, a single session achieved positive changes in the physical domain of quality of life four weeks after its application.

Author Contributions

A.J.-O., M.G.-P. and P.H. designed the study. A.J.-O. and M.G.-P. collected data. A.J.-S. performed the statistical analysis. A.J.-O., D.L.-H. and P.H. and wrote a first draft. A.J.-O., D.L.-H. and P.H. prepared the final version of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Research was carried out in accordance with the Declaration of Helsinki. The study protocol was approved on 28 March 2023 by the Institutional Ethics Committees of the Hospital Universitario de Canarias, Canary Islands, Spain (CHUC_2023_40). The study was prospectively registered in ClinicalTrials.gov (NCT05956119).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The datasets used and/or analyzed during the current study available from the first author on reasonable request by email to [email protected].

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Reich, D.S.; Lucchinetti, C.F.; Calabresi, P.A. Multiple Sclerosis. N. Engl. J. Med. 2018, 378, 169–180. [Google Scholar] [CrossRef]
  2. GBD 2016 Multiple Sclerosis Collaborators. Global, regional, and national burden of multiple sclerosis 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019, 18, 269–285. [Google Scholar] [CrossRef]
  3. Grasso, M.G.; Pace, L.; Troisi, E.; Tonini, A.; Paolucci, S. Prognostic factors in multiple sclerosis rehabilitation. Eur. J. Phys. Rehabil. Med. 2009, 45, 47–51. [Google Scholar]
  4. Pugliatti, M.; Rosati, G.; Carton, H.; Riise, T.; Drulovic, J.; Vécsei, L.; Milanov, I. The epidemiology of multiple sclerosis in Europe. Eur. J. Neurol. 2006, 13, 700–722. [Google Scholar] [CrossRef]
  5. Paz-Zulueta, M.; Parás-Bravo, P.; Cantarero-Prieto, D.; Blázquez-Fernández, C.; Oterino-Durán, A. A literature review of cost-of-illness studies on the economic burden of multiple sclerosis. Mult. Scler. Relat. Disord. 2020, 43, 102162. [Google Scholar] [CrossRef]
  6. Fernández, O.; Calleja-Hernández, M.A.; Meca-Lallana, J.; Oreja-Guevara, C.; Polanco, A.; Pérez-Alcántara, F. Estimate of the cost of multiple sclerosis in Spain by literature review. Expert Rev. Pharmacoecon. Outcomes Res. 2017, 17, 321–333. [Google Scholar] [CrossRef]
  7. Abdel-Aziz, K.; Schneider, T.; Solanky, B.S.; Yiannakas, M.C.; Altmann, D.R.; Wheeler-Kingshott, C.A.M.; Peters, A.L.; Day, B.L.; Thompson, A.J.; Ciccarelli, O. Evidence for early neurodegeneration in the cervical cord of patients with primary progressive multiple sclerosis. Brain 2015, 138 Pt 6, 1568–1582. [Google Scholar] [CrossRef]
  8. Heesen, C.; Böhm, J.; Reich, C.; Kasper, J.; Goebel, M.; Gold, S.M. Patient perception of bodily functions in multiple sclerosis: Gait and visual function are the most valuable. Mult. Scler. J. 2008, 14, 988–991. [Google Scholar] [CrossRef]
  9. Gunn, H.; Creanor, S.; Haas, B.; Marsden, J.; Freeman, J. Risk factors for falls in multiple sclerosis: An observational study. Mult. Scler. J. 2013, 19, 1913–1922. [Google Scholar] [CrossRef]
  10. Comber, L.; Galvin, R.; Coote, S. Gait deficits in people with multiple sclerosis: A systematic review and meta-analysis. Gait Posture 2017, 51, 25–35. [Google Scholar] [CrossRef]
  11. Pilutti, L.A. Adapted exercise interventions for persons with progressive multiple sclerosis. Appl. Physiol. Nutr. Metab. 2013, 38, 357. [Google Scholar] [CrossRef]
  12. Haselkorn, J.K.; Loomis, S. Multiple sclerosis and spasticity. Phys. Med. Rehabil. Clin. N. Am. 2005, 16, 467–481. [Google Scholar] [CrossRef]
  13. Sosnoff, J.J.; Gappmaier, E.; Frame, A.; Motl, R.W. Influence of spasticity on mobility and balance in persons with multiple sclerosis. J. Neurol. Phys. Ther. 2011, 35, 129–132. [Google Scholar] [CrossRef]
  14. Krupp, L. Fatigue in Multiple Sclerosis: A Guide to Diagnosis and Management; Demos: New York, NY, USA, 2004. [Google Scholar]
  15. Kos, D.; Kerckhofs, E.; Nagels, G.; D’Hooghe, M.; Ilsbroukx, S. Origin of fatigue in multiple sclerosis: Review of the literature. Neurorehabilit. Neural Repair 2008, 22, 91–100. [Google Scholar] [CrossRef]
  16. Hadi, S.; Khadijeh, O.; Hadian, M.; Niloofar, A.Y.; Olyaei, G.; Hossein, B.; Calvo, S.; Herrero, P. The effect of dry needling on spasticity, gait and muscle architecture in patients with chronic stroke: A case series study. Top. Stroke Rehabil. 2018, 25, 326–332. [Google Scholar] [CrossRef]
  17. Ghannadi, S.; Shariat, A.; Ansari, N.N.; Tavakol, Z.; Honarpishe, R.; Dommerholt, J.; Noormohammadpour, P.; Ingle, L. The Effect of Dry Needling on Lower Limb Dysfunction in Poststroke Survivors. J. Stroke Cerebrovasc. Dis. 2020, 29, 104814. [Google Scholar] [CrossRef]
  18. la Cruz, N.B.-D.; Calvo, S.; Rodríguez-Blanco, C.; Herrero, P.; Bravo-Esteban, E. Effects of dry needling on gait and muscle tone in Parkinson’s disease: A randomized clinical trial. Acupunct. Med. 2022, 40, 3–12. [Google Scholar] [CrossRef]
  19. Cruz-Montecinos, C.; Núñez-Cortés, R.; Bruna-Melo, T.; Tapia, C.; Becerra, P.; Pavez, N.; Pérez-Alenda, S. Dry needling technique decreases spasticity and improves general functioning in incomplete spinal cord injury: A case report. J. Spinal Cord Med. 2020, 43, 414–418. [Google Scholar] [CrossRef]
  20. Khalifeloo, M.; Naghdi, S.; Ansari, N.N.; Dommerholt, J.; Sahraian, M.A. Dry needling for the treatment of muscle spasticity in a patient with multiple sclerosis: A case report. Physiother. Theory Pract. 2022, 38, 3248–3254. [Google Scholar] [CrossRef]
  21. Pérez-Trujillo, M.d.P.; González-Platas, M.; Pérez-Martín, M.Y.; Revert-Gironés, M.C.; González-Platas, J. Dry needling for treating spasticity in multiple sclerosis. J. Phys. Ther. Sci. 2021, 33, 505–510. [Google Scholar] [CrossRef]
  22. Calvo, S.; la Cruz, N.B.-D.; Jiménez-Sánchez, C.; Bravo-Esteban, E.; Herrero, P. Effects of dry needling on function, hypertonia and quality of life in chronic stroke: A randomized clinical trial. Acupunct. Med. 2022, 40, 312–321. [Google Scholar] [CrossRef]
  23. Bennett, S.E.; Bromley, L.E.; Fisher, N.M.; Tomita, M.R.; Niewczyk, P. Validity and Reliability of Four Clinical Gait Measures in Patients with Multiple Sclerosis. Int. J. MS Care 2017, 19, 247–252. [Google Scholar] [CrossRef]
  24. Motl, R.W.; Cohen, J.A.; Benedict, R.; Phillips, G.; LaRocca, N.; Hudson, L.D.; Rudick, R. Multiple Sclerosis Outcome Assessments Consortium Validity of the timed 25-foot walk as an ambulatory performance outcome measure for multiple sclerosis. Mult. Scler. J. 2017, 23, 704–710. [Google Scholar] [CrossRef]
  25. Engelhard, M.M.; Schmidt, K.M.; Engel, C.E.; Brenton, J.N.; Patek, S.D.; Goldman, M.D. The e-MSWS-12: Improving the multiple sclerosis walking scale using item response theory. Qual. Life Res. 2016, 25, 3221–3230. [Google Scholar] [CrossRef]
  26. Mehta, L.; McNeill, M.; Hobart, J.; Wyrwich, K.W.; Poon, J.-L.; Auguste, P.; Zhong, J.; Elkins, J. Identifying an important change estimate for the Multiple Sclerosis Walking Scale-12 (MSWS-12v1) for interpreting clinical trial results. Mult. Scler. J. Exp. Transl. Clin. 2015, 1, 2055217315596993. [Google Scholar] [CrossRef]
  27. Williams, K.; Hatton, A. Clinimetrics: Multiple Sclerosis Walking Scale-12 (MSWS-12). J. Physiother. 2023, 69, 275. [Google Scholar] [CrossRef]
  28. Valet, M.; Lejeune, T.; Devis, M.; van Pesch, V.; El Sankari, S.; Stoquart, G. Timed Up-and-Go and 2-Minute Walk Test in patients with multiple sclerosis with mild disability: Reliability, responsiveness and link with perceived fatigue. Eur. J. Phys. Rehabil. Med. 2019, 55, 450–455. [Google Scholar] [CrossRef]
  29. Meyer-Moock, S.; Feng, Y.-S.; Maeurer, M.; Dippel, F.-W.; Kohlmann, T. Systematic literature review and validity evaluation of the Expanded Disability Status Scale (EDSS) and the Multiple Sclerosis Functional Composite (MSFC) in patients with multiple sclerosis. BMC Neurol. 2014, 14, 58. [Google Scholar] [CrossRef]
  30. Aymerich, M.; Guillamón, I.; Perkal, H.; Nos, C.; Porcel, J.; Berra, S.; Rajmil, L.; Montalbán, X. Adaptación al español del cuestionario específico MSQOL-54 para pacientes con esclerosis múltiple (Spanish adaptation of the disease-specific questionnaire MSQOL-54 in multiple sclerosis patients). Neurologia 2006, 21, 181–187. (In Spanish) [Google Scholar]
  31. Fernández, O.; Fernández, V.; Baumstarck-Barrau, K.; Muñoz, L.; Alvarez, M.d.M.G.; Arrabal, J.C.; León, A.; Alonso, A.; López-Madrona, J.C.; Bustamante, R.; et al. Validation of the spanish version of the Multiple Sclerosis International Quality of Life (Musiqol) questionnaire. BMC Neurol. 2011, 11, 127. [Google Scholar] [CrossRef]
  32. Patrick, D.L.; Bush, J.W.; Chen, M.M. Methods for measuring levels of well-being for a health status index. Health Serv. Res. 1973, 8, 228–245. [Google Scholar]
  33. Gudex, C.; Dolan, P.; Kind, P.; Williams, A. Health state valuations from the general public using the visual analogue scale. Qual. Life Res. 1996, 5, 521–531. [Google Scholar] [CrossRef]
  34. de Boer, A.G.; van Lanschot, J.J.; Stalmeier, P.F.; van Sandick, J.W.; Hulscher, J.B.; de Haes, J.C.; Sprangers, M.A. Is a single-item visual analogue scale as valid, reliable and responsive as multi-item scales in measuring quality of life? Qual. Life Res. 2004, 13, 311–320. [Google Scholar] [CrossRef]
  35. Luque-Moreno, C.; Granja-Domínguez, A.; Moral-Munoz, J.A.; Izquierdo-Ayuso, G.; Lucena-Anton, D.; Heredia-Rizo, A.M. Effectiveness of Dry Needling versus Placebo on Gait Performance, Spasticity, Electromyographic Activity, Pain, Range-of-Movement and Quality of Life in Patients with Multiple Sclerosis: A Randomized Controlled Trial Protocol. Brain Sci. 2020, 10, 997. [Google Scholar] [CrossRef]
  36. Fernández-De-Las-Peñas, C.; Pérez-Bellmunt, A.; Llurda-Almuzara, L.; Plaza-Manzano, G.; De-La-Llave-Rincón, A.I.; Navarro-Santana, M.J. Is Dry Needling Effective for the Management of Spasticity, Pain, and Motor Function in Post-Stroke Patients? A Systematic Review and Meta-Analysis. Pain Med. 2021, 22, 131–141. [Google Scholar] [CrossRef]
  37. Valencia-Chulián, R.; Heredia-Rizo, A.M.; Moral-Munoz, J.A.; Lucena-Anton, D.; Luque-Moreno, C. Dry needling for the management of spasticity, pain, and range of movement in adults after stroke: A systematic review. Complement. Ther. Med. 2020, 52, 102515. [Google Scholar] [CrossRef]
  38. Hobart, J.; Blight, A.R.; Goodman, A.; Lynn, F.; Putzki, N. Timed 25-Foot Walk: Direct evidence that improving 20% or greater is clinically meaningful in MS. Neurology 2013, 80, 1509–1517. [Google Scholar] [CrossRef]
  39. Coleman, C.I.; Sobieraj, D.M.; Marinucci, L.N. Minimally important clinical difference of the Timed 25-Foot Walk Test: Results from a randomized controlled trial in patients with multiple sclerosis. Curr. Med. Res. Opin. 2012, 28, 49–56. [Google Scholar] [CrossRef]
  40. Learmonth, Y.C.; Dlugonski, D.D.; Pilutti, L.A.; Sandroff, B.M.; Motl, R.W. The reliability, precision and clinically meaningful change of walking assessments in multiple sclerosis. Mult. Scler. J. 2013, 19, 1784–1791. [Google Scholar] [CrossRef]
  41. Lu, Z.; Briley, A.; Zhou, P.; Li, S. Are There Trigger Points in the Spastic Muscles? Electromyographical Evidence of Dry Needling Effects on Spastic Finger Flexors in Chronic Stroke. Front. Neurol. 2020, 11, 78. [Google Scholar] [CrossRef]
  42. Bosque, M.; Margalef, R.; Carvajal, O.; Álvarez, D.; Santafe, M.M. Dry Needling Produces Mild Injuries Irrespective to Muscle Stiffness and Tension in Ex Vivo Mice Muscles. Pain Res. Manag. 2022, 2022, 8920252. [Google Scholar] [CrossRef]
  43. Asadi, B.; Fard, K.R.; Ansari, N.N.; Marco, Á.; Calvo, S.; Herrero, P. The Effect of dry Needling in Chronic Stroke with a complex Network Approach: A Case Study. Clin. EEG Neurosci. 2023, 54, 179–188. [Google Scholar] [CrossRef]
  44. Mohammadpour, F.; Oghabian, M.A.; Ansari, N.N.; Naghdi, S.; Dommerholt, J. Effects of dry needling on post-stroke brain activity and muscle spasticity of the upper limb: A case report. Acupunct. Med. 2021, 39, 69–71. [Google Scholar] [CrossRef]
  45. Coote, S.; Comber, L.; Quinn, G.; Santoyo-Medina, C.; Kalron, A.; Gunn, H. Falls in People with Multiple Sclerosis: Risk Identification, Intervention, and Future Directions. Int. J. MS Care 2020, 22, 247–255. [Google Scholar] [CrossRef]
  46. Giannì, C.; Prosperini, L.; Jonsdottir, J.; Cattaneo, D. A systematic review of factors associated with accidental falls in people with multiple sclerosis: A meta-analytic approach. Clin. Rehabil. 2014, 28, 704–716. [Google Scholar] [CrossRef]
  47. Beghi, E.; Gervasoni, E.; Pupillo, E.; Bianchi, E.; Montesano, A.; Aprile, I.; Agostini, M.; Rovaris, M.; Cattaneo, D.; NEUROFALL Group. Prediction of Falls in Subjects Suffering from Parkinson Disease, Multiple Sclerosis, and Stroke. Arch. Phys. Med. Rehabil. 2018, 99, 641–651. [Google Scholar] [CrossRef]
  48. Motl, R.W.; Balto, J.M.; Ensari, I.; Hubbard, E.A. Self-efficacy and Walking Performance in Persons with Multiple Sclerosis. J. Neurol. Phys. Ther. 2017, 41, 114–118. [Google Scholar] [CrossRef]
  49. Nilsagård, Y.; Gunn, H.; Freeman, J.; Hoang, P.; Lord, S.; Mazumder, R.; Cameron, M. Falls in people with MS—An individual data meta-analysis from studies from Australia, Sweden, United Kingdom and the United States. Mult. Scler. J. 2015, 21, 92–100. [Google Scholar] [CrossRef]
  50. Coote, S.; Hogan, N.; Franklin, S. Falls in people with multiple sclerosis who use a walking aid: Prevalence, factors, and effect of strength and balance interventions. Arch. Phys. Med. Rehabil. 2013, 94, 616–621. [Google Scholar] [CrossRef]
  51. Vister, E.; Tijsma, M.E.; Hoang, P.D.; Lord, S.R. Fatigue, Physical Activity, Quality of Life, and Fall Risk in People with Multiple Sclerosis. Int. J. MS Care 2017, 19, 91–98. [Google Scholar] [CrossRef]
  52. Zaldívar, J.N.C.; Calvo, S.; Bravo-Esteban, E.; Ruiz, P.O.; Santi-Cano, M.J.; Herrero, P. Effectiveness of dry needling for upper extremity spasticity, quality of life and function in subacute phase stroke patients. Acupunct. Med. 2021, 39, 299–308. [Google Scholar] [CrossRef]
  53. Milá, Z.S.; Saornil, J.V.; Chekroun, A.C.; Casas, J.M.B.; Llanes, R.F.; Calvillo, A.C.; Pascua, C.L.; Sanz, D.R. Effect of Dry Needling Treatment on Tibial Musculature in Combination with Neurorehabilitation Treatment in Stroke Patients: Randomized Clinical Study. Int. J. Environ. Res. Public Health 2022, 19, 12302. [Google Scholar] [CrossRef]
  54. Sánchez-Mila, Z.; Salom-Moreno, J.; Fernández-De-Las-Peñas, C. Effects of Dry Needling on Post-Stroke Spasticity, Motor Function and Stability Limits: A Randomised Clinical Trial. Acupunct. Med. 2018, 36, 358–366. [Google Scholar] [CrossRef]
  55. Babazadeh-Zavieh, S.S.; Ansari, N.N.; Ghotbi, N.; Naghdi, S.; Haeri, S.M.J.; Shaw, B.S.; Shaw, I. Effects of dry needling and exercise therapy on post-stroke spasticity and motor function–protocol of randomized clinical trial. Contemp. Clin. Trials Commun. 2022, 28, 100921. [Google Scholar] [CrossRef]
  56. Ansari, N.N.; Hasheminasab-Zavareh, F.-S.; Naghdi, S.; Dommerholt, J. Effects of dry needling session frequency on wrist flexor spasticity and motor recovery after stroke: A single-blind randomized clinical trial. Physiother. Theory Pract. 2023, 1–12. [Google Scholar] [CrossRef]
  57. Hernández-Ortíz, A.R.; Ponce-Luceño, R.; Sáez-Sánchez, C.; García-Sánchez, O.; Fernández-De-Las-Peñas, C.; De-La-Llave-Rincón, A.I. Changes in Muscle Tone, Function, and Pain in the Chronic Hemiparetic Shoulder after Dry Needling within or outside Trigger Points in Stroke Patients: A Crossover Randomized Clinical Trial. Pain Med. 2020, 21, 2939–2947. [Google Scholar] [CrossRef]
  58. Elser, H.; Parks, R.M.; Moghavem, N.; Kiang, M.V.; Bozinov, N.; Henderson, V.W.; Rehkopf, D.H.; Casey, J.A. Anomalously warm weather and acute care visits in patients with multiple sclerosis: A retrospective study of privately insured individuals in the US. PLoS Med. 2021, 18, e1003580. [Google Scholar] [CrossRef]
  59. Chacko, G.; Patel, S.; Galor, A.; Kumar, N. Heat Exposure and Multiple Sclerosis—A Regional and Temporal Analysis. Int. J. Environ. Res. Public Health 2021, 18, 5962. [Google Scholar] [CrossRef]
  60. Javier-Ormazábal, A.; Herrero, P.; González-Platas, M. Ultrasound-Guided Percutaneous Neuromodulation in Multiple Sclerosis: A Case Report. Degener. Neurol. Neuromuscul. Dis. 2023, 13, 15–20. [Google Scholar] [CrossRef]
  61. Fernández-Sanchis, D.; la Cruz, N.B.-D.; Jiménez-Sánchez, C.; Gil-Calvo, M.; Herrero, P.; Calvo, S. Cost-Effectiveness of Upper Extremity Dry Needling in Chronic Stroke. Healthcare 2022, 10, 160. [Google Scholar] [CrossRef]
Figure 1. Dry needling on gastrocnemius medialis muscle.
Figure 1. Dry needling on gastrocnemius medialis muscle.
Healthcare 12 00010 g001
Figure 2. Different time points (T0: just before intervention; T1: just after intervention; T2: 1 week after intervention; T3: 4 weeks after intervention) and outcomes measured in each of them. AQL: Analogic Quality of Life scale; EDSS: Expanded Disability Status Score; MSQol 54: The Multiple Sclerosis Quality of life-54 questionnaire; MSWS-12: Multiple Sclerosis Walking Scale; T25FW: Timed 25-Foot Walk; TUG: Timed up and go test.
Figure 2. Different time points (T0: just before intervention; T1: just after intervention; T2: 1 week after intervention; T3: 4 weeks after intervention) and outcomes measured in each of them. AQL: Analogic Quality of Life scale; EDSS: Expanded Disability Status Score; MSQol 54: The Multiple Sclerosis Quality of life-54 questionnaire; MSWS-12: Multiple Sclerosis Walking Scale; T25FW: Timed 25-Foot Walk; TUG: Timed up and go test.
Healthcare 12 00010 g002
Figure 3. CONSORT 2010 flow diagram of participants throughout the course of the study.
Figure 3. CONSORT 2010 flow diagram of participants throughout the course of the study.
Healthcare 12 00010 g003
Table 1. Baseline clinical and demographic data of the participants.
Table 1. Baseline clinical and demographic data of the participants.
IG (Active Dry
Needling, n = 9)
CG (Sham Dry
Needling, n = 9)
p-Value
Age (years)48.00 ± 6.0046.67 ± 9.380.920
Sex (% female)5 (55.56%)6 (66.67%)-
Walking aid5 (55.56%)4 (44.44%)-
BMI (kg/m2)23.12 ± 3.4925.59 ± 4.370.310
Disease duration (years)12.33 ± 7.319.89 ± 6.770.400
Type of MSRRMS = 55%
PPMS = 45%
RRMS = 55%
PPMS = 45%
-
T25FW11.35 ± 10.847.38 ± 2.110.546
MSWS-1239.33 ± 10.9030.56 ± 11.330.077
TUG12.08 ± 5.2510.27 ± 2.490.489
EDSS total4.94 ± 1.213.83 ± 1.200.400
EDSS pyramidal 3.33 ± 1.232.89 ± 0.930.489
MSQol-54 Physical55.27 ± 19.7059.41 ± 16.720.190
MSQol-54 Mental44.24 ± 19.4858.29 ± 18.600.161
AQL6.22 ± 2.395.89 ± 1.450.796
AQL: Analogic Quality of Life scale; BMI = Body Mass Index; EDSS: Expanded Disability Status Score; MSQol-54: The Multiple Sclerosis Quality of life-54 questionnaire; MSWS-12: Multiple Sclerosis Walking Scale; PPMS = Primary Progressive Multiple Sclerosis; RRMS = Relapsing Remitting Multiple Sclerosis; T25FW: Timed 25-Foot Walk; TUG: Timed up and go test. Data are presented as mean ± standard deviation.
Table 2. Within- and between-group comparisons of all measures at different time points.
Table 2. Within- and between-group comparisons of all measures at different time points.
VariableGroupDescriptive DataWithin-Group DifferencesBetween-Group Differences
BaselinePost1 Week4 WeeksGlobal aPost b1 Week b4 Weeks bPost c1 Week c4 Weeks c
T25FWIG
SG
11.35 ± 10.84
7.38 ± 2.11
9.81 ± 8.18
7.01 ± 1.84
11.69 ± 12.64
7.18 ± 1.83
10.83 ± 9.97
6.95 ± 1.92
p = 0.042 *
p = 0.082
−1.54 ± 2.66
(p = 0.008) *
−0.37 ± 0.13
(p = 0.082)
0.34 ± 1.80
(p = 0.515)
−0.20 ± 0.10
−0.52 ± 0.87
(p = 0.260)
−0.43 ± 0.19
2.8 ± 6.34
(p = 0.077)
4.51 ± 10.81
(p = 0.489)
3.88 ± 8.14
(p = 0.863)
MSWS-12IG
SG
39.33 ± 10.90
30.56 ± 11.33
-
-
35.89 ± 11.26
31.11 ± 13.93
36.33 ± 9.98
32.22 ± 15.01
p = 0.002 *
p = 0.962
-
-
−3.44 ± 0.36
(p = 0.017) *
0.55 ± 0.60
(p = 0.962)
−3.00 ± 0.93
(p = 0.011) *
1.66 ± 3.68
-4.78 ± −2.67
(p = 0.063)
4 ± −5.03
(p = 0.063)
TUGIG
SG
12.08 ± 5.25
10.27 ± 2.49
11.06 ± 5.28
9.41 ± 2.08
11.29 ± 6.91
10.03 ± 2.93
13.26 ± 10.35
9.82 ± 2.91
p = 0.015 *
p = 0.091
−1.02 ± 0.03
(p = 0.008) *
−0.86 ± 0.10
(p = 0.091)
−0.79 ± 1.65
(p = 0.110)
−0.24 ± 0.44
1.18 ± 5.10
(p = 0.678)
−0.45 ± 0.41
1.65 ± 3.21
(p = 0.666)
1.26 ± 3.97
(p = 0.113)
3.44 ± 7.44
(p = 0.931)
EDSS
Total
IG
SG
4.94 ± 1.21
3.83 ± 1.20
-
-
-
-
4.94 ± 1.21
3.83 ± 1.20
p = 1.000
p = 1.000
-
-
-
-
No change
No change
--1.11 ± 0.01
(p = 1.000)
EDSS
Pyramidal
IG
SG
3.33 ± 1.23
2.89 ± 0.93
-
-
-
-
3.44 ± 1.13
2.89 ± 0.93
p = 0.317
p = 1.000
-
-
-
-
0.11 ± 0.10
No change
--0.55 ± 0.20
(p = 0.730)
MSQol-54
Physical
IG
SG
55.27 ± 19.71
59.41 ± 16.72
-
-
-
-
61.50 ± 23.43
59.00 ± 18.67
p = 1.000
p = 1.000
-
-
-
-
6.23 ± 3.73
(p = 0.014 *)
−0.41 ± 1.95
(p = 0.096)
--6.23 ± 3.95
(p = 0.014) *
MSQol-54
Mental
IG
SG
44.24 ± 19.48
58.29 ± 18.60
-
-
-
-
46.76 ± 19.19
55.82 ± 19.56
p = 0.096
p = 0.096
-
-
-
-
2.52 ± 0.12
(p = 0.096)
−2.47 ± 0.96
(p = 0.096)
--2.52 ± −0.29
(p = 0.297)
AQLIG
SG
6.22 ± 2.39
5.89 ± 1.45
-
-
6.02 ± 1.81
6.11 ± 1.27
6.56 ± 2.12
6.22 ± 1.48
p = 0.001 *
p = 0.001 *
-
-
−0.18 ± −0.58
(p =0.441)
0.22 ± −0.18
(p =0.953)
0.54 ± 0.18
(p =0.008 *)
0.33 ± 0.03
(p =0.008 *)
-
-
0.09 ± −0.54
(p = 0.863)
−0.34 ± −0.64
(p = 1.000)
AQL: Analogic Quality of Life scale; EDSS: Expanded Disability Status Score; IG: Intervention Group; MSQol-54: The Multiple Sclerosis Quality of life-54 questionnaire; MSWS-12: Multiple Sclerosis Walking Scale; SG: Sham Group; T25FW: Timed 25-Foot Walk; TUG: Timed up and go test. Data are represented as mean ± standard deviation. * Statistically significant results (p < 0.05); a Non-parametric Friedman test (changes over time in each group); b Non-parametric Wilcoxon test (carried out on those variables in which the overall result of the Friedman test was significant); c Non-parametric Mann–Whitney U test (comparisons between groups).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Javier-Ormazábal, A.; González-Platas, M.; Jiménez-Sosa, A.; Herrero, P.; Lapuente-Hernández, D. The Effectiveness of a Single Dry Needling Session on Gait and Quality of Life in Multiple Sclerosis: A Double-Blind Randomized Sham-Controlled Pilot Trial. Healthcare 2024, 12, 10. https://doi.org/10.3390/healthcare12010010

AMA Style

Javier-Ormazábal A, González-Platas M, Jiménez-Sosa A, Herrero P, Lapuente-Hernández D. The Effectiveness of a Single Dry Needling Session on Gait and Quality of Life in Multiple Sclerosis: A Double-Blind Randomized Sham-Controlled Pilot Trial. Healthcare. 2024; 12(1):10. https://doi.org/10.3390/healthcare12010010

Chicago/Turabian Style

Javier-Ormazábal, Alberto, Montserrat González-Platas, Alejandro Jiménez-Sosa, Pablo Herrero, and Diego Lapuente-Hernández. 2024. "The Effectiveness of a Single Dry Needling Session on Gait and Quality of Life in Multiple Sclerosis: A Double-Blind Randomized Sham-Controlled Pilot Trial" Healthcare 12, no. 1: 10. https://doi.org/10.3390/healthcare12010010

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop