Computer-assisted Cryotherapy After Total Knee Arthroplasty

NCT ID: NCT06730399

Last Updated: 2025-01-08

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

106 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-08-01

Study Completion Date

2021-03-23

Brief Summary

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The aim of this study was to investigate whether computer-assisted cryotherapy is effective in reducing postoperative pain and analgesics consumption, next to improving functional outcome and patient satisfaction after total knee arthroplasty (TKA). The hypothesis is that computer-assisted cryotherapy has positive effects on postoperative pain after TKA.

For this purpose a single-centre non-blinded trial was designed where two groups of patients were observed, a cold (cryotherapy) C-group and a regular (control) R-group. Depended on the week they were operated patients received either usual care (R-group) or computed-assesed- cryotherapy (odd or even week; week-on/week-off principle). Patients in the C-group received next to usual postoperative care computer-assisted cryotherapy for several hours a day during the first seven postoperative days (10-12 degrees Celcius).

Primary outcome was pain, monitored with the numerical rating scale for pain. Secondary outcomes were the use of opioid escape medication, function and swelling, monitored by active range of motion, timed up and go test and circumference measurements; several patient-reported outcome measures (short term 2 and 6 weeks; and longer term 6 and 12 months postoperative); and patient satisfaction, monitored by the numerical rating scale for satisfaction.

Detailed Description

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The study was conducted at the Orthopaedic Surgery Department of Martini Hospital, a teaching hospital in the Netherlands. All participants gave signed informed consent before participation. Patients with end-stage OA over the age of 18 who were scheduled for a TKA were invited to participate in this study. Exclusion criteria were rheumatoid arthritis, skin or other infections, vascular disease, other comorbidities on which cooling may have a negative effect, and strong preference for one of the treatment options. Patients were randomised into one of the two groups by a week-on/week-off principle. Patients who underwent TKA surgery in an even week received additional postoperative cryotherapy (C-group), those who had the surgery in an odd week received usual postoperative care (R-group). Surgery dates were scheduled in the usual way by the planning department of the hospital. Two weeks before surgery, patients were informed by phone as to which group they were assigned to. Both groups received the usual rapid recovery (RR) care and rehabilitation program, consisting of local infiltration analgesia during surgery, compressive bandaging for 24 h after surgery, and full weight-bearing mobilisation and active range of motion exercises starting on the day of surgery. Antibiotics were given preoperatively and postoperatively. All patients received thromboembolic prophylaxis for a period of six weeks. The Smith \& Nephew (Memphis, USA) posterior stabilized (PS) GENESIS II total knee system was used for the TKA.

For the CAC in the C-group, the ZAMAR ZHC-MG665A (ZAMAR, Vrsar, Croatia) was used during hospitalisation and the smaller CAC system ZAMAR ZT Cube (ZAMAR, Vrsar, Croatia) for the home situation. The CAC system was delivered to the patient's home before the day of the surgery. Both models had a touchscreen with pre-set programs, with parameters as shown in the cooling schedule. All patients received a personal cooling brace, the ZAMAR Wrap, which transferred cold onto the skin and deep tissue around the knee. Patients in the C-group were instructed to cool the operated knee during the first seven postoperative days. The schedule they received was based on a schedule used by Thijs et al. Patients were allowed to deviate from this schedule, but were asked to document the actual cooling time and temperature in a log.

Conditions

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Osteo Arthritis Knee

Study Design

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Observational Model Type

OTHER

Study Time Perspective

PROSPECTIVE

Study Groups

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Cryotherapy group

Postoperative treatment using computed-assisted-cryotherapy in the first week postoperative in addition to usual care

Computed-assisted-cryotherapy

Intervention Type DEVICE

cryotherapy device

Control group

Postoperative treatment according to usual care

No interventions assigned to this group

Interventions

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Computed-assisted-cryotherapy

cryotherapy device

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Patients scheduled for a primary TKA or UKA in the Martini Hospital.
* Age ≥ 18 years

Exclusion Criteria

* skin (or other) infections
* rheumatoid arthritis
* vascular disease
* having a strong preference for one of the two treatment options
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Martini Hospital Groningen

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Martini Hospital

Groningen, Provincie Groningen, Netherlands

Site Status

Countries

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Netherlands

References

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Brouwers HFG, de Vries AJ, van Zuilen M, van Kouswijk HW, Brouwer RW. The role of computer-assisted cryotherapy in the postoperative treatment after total knee arthroplasty: positive effects on pain and opioid consumption. Knee Surg Sports Traumatol Arthrosc. 2022 Aug;30(8):2698-2706. doi: 10.1007/s00167-021-06568-x. Epub 2021 Apr 26.

Reference Type BACKGROUND
PMID: 33903923 (View on PubMed)

Thijs E, Schotanus MGM, Bemelmans YFL, Kort NP. Reduced opiate use after total knee arthroplasty using computer-assisted cryotherapy. Knee Surg Sports Traumatol Arthrosc. 2019 Apr;27(4):1204-1212. doi: 10.1007/s00167-018-4962-y. Epub 2018 May 3.

Reference Type BACKGROUND
PMID: 29725749 (View on PubMed)

Other Identifiers

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Cryotherapy in TKA patients

Identifier Type: -

Identifier Source: org_study_id

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