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Immediate Effects of Manual Therapy Versus TENS in Patients With Knee Osteoarthritis

G

Gabriel Peixoto Leão Almeida

Status

Completed

Conditions

Knee Osteoarthritis

Treatments

Other: TENS
Other: Manual Therapy

Study type

Interventional

Funder types

Other

Identifiers

NCT02947451
TCC_Isabel

Details and patient eligibility

About

Patients with knee Osteoarthritis have high prevalence of pain , requiring ever more precise interventions in their management. This study aims to investigate the immediate effects of manual therapy and TENS on pain in patients with knee Osteoarthritis. Knowledge of best interventions favors reducing spending on health and safety for the patient.

Full description

This study aims to compare the efficacy of manual therapy and TENS for immediate control of pain in patients with knee osteoarthritis. They will be included 62 patients with clinical and radiological diagnosis of knee osteoarthritis, presenting pain of at least 3 in VAS, which are recruited from rheumatology and geriatrics clinics in Fortaleza / CE through a prior screening.

Will be three assessments, prior to the intervention, immediately after it and after 72 hours. The data collected shall appear in individual printed records. Participants will be divided into two therapy groups, of which one will be applied manual therapy and other TENS. There will be randomisation allocation of individuals in the groups and because of the nature of the interventions only the evaluator may be blind.

In manual therapy group will be assigned a protocol with manual passive stretching for the quadriceps muscles, hamstrings, triceps surae, adductors and abductors of the hip; myofascial release peripatellar; joint mobilization grades 1 and 2 for tibiofemoral joint and femoro - patellar in the affected knee.

In TENS group will be applied to continuous current mode, frequency 100Hz and pulse width of 50μs for 40 minutes in a single application. The intensity will be defined by the patient, should the stimulus be considered intense, but pleasant to it.

The Kolmogorov - Smirnov test is used to verify the data distribution normality. The characterization of the participants is performed by means of descriptive statistical analysis. Parametric or non-parametric tests will be used according to the data distribution normality for comparison between groups at baseline. The evaluator blinding will be tested using the chi -square test by comparing the randomization code with the evaluator opinion. The difference between the groups and their respective confidence intervals will be calculated by linear mixed models using interaction term of "time versus group."

Enrollment

54 patients

Sex

All

Ages

50+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Knee osteoarthritis diagnosed by clinical criteria established by the American College of Rheumatology and radiological criteria of Kelgren-Lawrence
  • Age over 50 years
  • Pain intensity above 2 on the VAS

Exclusion criteria

  • Other systemic inflammatory disease
  • Changes in sensitivity
  • Use of anti-inflammatory steroids, tranquillizers and/or antidepressants in the last month
  • Analgesic in last 24 hours
  • Use of cardiac pacemaker

Trial design

Primary purpose

Supportive Care

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Double Blind

54 participants in 2 patient groups

Manual therapy
Experimental group
Description:
In manual therapy group will be assigned a protocol with manual passive stretching for the quadriceps muscles, hamstrings, triceps surae, adductors and abductors of the hip; myofascial release peripatellar; joint mobilization grades 1 and 2 for tibiofemoral joint and femoro - patellar in the affected knee, in a single application.
Treatment:
Other: Manual Therapy
TENS
Experimental group
Description:
In TENS group will be applied to continuous current mode, frequency 100Hz and pulse width of 50μs for 40 minutes in a single application.
Treatment:
Other: TENS

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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