Precision medicine and personalized care in patients with rotator cuff disease: future perspectives and new frontiers using machine learning models

ISRCTN ISRCTN13188760
DOI https://doi.org/10.1186/ISRCTN13188760
Submission date
16/10/2023
Registration date
24/11/2023
Last edited
08/05/2024
Recruitment status
Recruiting
Overall study status
Ongoing
Condition category
Musculoskeletal Diseases
Prospectively registered
Protocol
Statistical analysis plan
Results
Individual participant data
Record updated in last year

Plain English summary of protocol

Background and study aims
Rotator cuff (RC) tear is one of the most common shoulder injuries that causes pain and severe limitations in performing activities of daily living. Surgical procedures represent the best treatment option in patients with symptomatic RC tears and severe dysfunction of shoulder movement but the risk of retear remains a major postoperative drawback. The incidence of retear is influenced by biological, genetic and biomechanical factors. In the last years, machine learning has been a tool of strong interest in clinical medicine. In the orthopedics field, little discussion has revolved around how to apply these tools for the early prediction of surgical treatments and personalized care of RC patients.
The aim of the study is to create a pre- and post-operative database with clinical, structural, genetic, and kinematic data from RC patients. In addition, by developing a new machine learning model, pre-operative data will be able to predict clinical and structural outcomes, suggesting new insights for treatment of RC tears.

Who can participate?
Patients aged 40-75 years at Fondazione Policlinico Universitario Campus Bio-Medico with rotator cuff tears

What does the study involve?
An experienced orthopedic surgeon will perform surgical procedures on all patients. Patients will undergo pre- and post-surgical (12-month) follow-up visits which will include assessments, MRI scans, and blood and tissue samples taken during surgery for genetic analysis. The total duration of the study is 48 months.

What are the possible benefits and risks of participating?
There are no risks for the patients recruited in the study.

Where is the study run from?
Fondazione Policlinico Universitario Campus Bio-Medico (Italy)

When is the study starting and how long is it expected to run for?
January 2023 to January 2027

Who is funding the study?
PNRR (National Recovery and Resilience Plan): M6/C2_CALL 2022. This research was supported by EU funding within the NextGenerationEU - Italian Ministry of Health PNRR (Project no. PNRR-MAD-2022-12376080) - CUP: F83C22002450001

Who is the main contact?
Prof. Umile Giuseppe Longo, g.longo@policlinicocampus.it

Contact information

Prof Umile Giuseppe Longo
Public, Scientific, Principal Investigator

Via Álvaro Del Portillo, 200
Roma
00128
Italy

ORCiD logoORCID ID 0000-0003-4063-9821
Phone +39 (0)6225418816
Email g.longo@policlinicocampus.it

Study information

Study designInterventional prospective monocentric study
Primary study designInterventional
Secondary study designNon randomised study
Study setting(s)Hospital
Study typeQuality of life, Efficacy
Participant information sheet Not available in web format, please use contact details to request a participant information sheet
Scientific titleA multimodal machine learning approach for precision medicine and personalized care of patients with rotator cuff diseases
Study acronymPREDICT-CUFF
Study objectivesThe main hypothesis is that preoperative data can predict clinical and structural outcomes by defining new reliable features, which in turn may suggest new insights for rotator cuff (RC) tear treatment.
Ethics approval(s)

1. Approved 30/01/2023, Comitato Etico Fondazione Policlinico Universitario Campus Bio-Medico (Via Álvaro del Portillo, 21, Roma, 00128, Italy; +39 (0)6225418812; comitato.etico@policlinicocampus.it), ref: PAR 04.23

2. Approved 30/05/2023, Comitato Etico Fondazione Policlinico Universitario Campus Bio-Medico (Via Álvaro del Portillo, 21, Roma, 00128, Italy; +39 (0)6225418812; comitato.etico@policlinicocampus.it), ref: 001.23(04.23)

Health condition(s) or problem(s) studiedRotator cuff tears
InterventionAn experienced orthopedic surgeon will perform surgical procedures on all the enrolled patients after obtaining consent for the study participation. The arthroscopic RC repair will be performed by placing one row of double-loaded suture anchors. Enrolled patients will undergo pre- and post-surgical (12 months) follow-up visits during which the staff in charge will perform clinical-functional assessments, administration of clinical scores, MRI evaluation, and kinematic analysis using a stereophotogrammetric system. In addition, blood and tissue samples required for subsequent genetic analysis will be taken during surgery.
Intervention typeMixed
Primary outcome measureStructural tendon integrity, as evidenced by MRI evaluations at 12 months after surgery
Secondary outcome measuresMeasured before and after surgery:
1. Kinematic variables (such as range of motion, angular velocity) measured by kinematic analysis
2. Physical and subjective measures of the affected shoulder in terms of pain, activities of daily living (ADL), range of motion (ROM), and strength measured by the Constant-Murley score (CMS)
3. Patient self-reported and clinician scores about pain, ADL, ROM, signs, strength, and instability measured by the American Shoulder and Elbow Surgeons (ASES) score
4. Quality of life and mental health (such as physical and social functioning, general health perception limitations due to emotional aspects, vitality) measured by SF-36
5. The level of pain perceived by patients measured by visual analogue score (VAS)
Overall study start date01/01/2023
Completion date31/01/2027

Eligibility

Participant type(s)Patient
Age groupMixed
Lower age limit40 Years
Upper age limit75 Years
SexBoth
Target number of participants100
Key inclusion criteria1. Age 40-75 years
2. Rotator cuff tears documented with MRI
3. No surgical treatment to the affected shoulder before
4. No episodes of shoulder instability
5. No radiographic signs of fracture of the glenoid fossa or the greater or lesser tuberosity
Key exclusion criteria1. Frozen shoulder
2. Radiological osteoarthritis of the glenohumeral joint
3. Neurological disease or language barriers
4. Impossibility to undergo an MRI scan for any reason
Date of first enrolment01/01/2024
Date of final enrolment31/01/2026

Locations

Countries of recruitment

  • Italy

Study participating centre

Fondazione Policlinico Universitario Campus Bio-Medico
Via Alvaro del Portillo, 200
Roma
00128
Italy

Sponsor information

Fondazione Policlinico Universitario Campus Bio-Medico
Hospital/treatment centre

via Alvaro del portillo 200
Roma
00128
Italy

Phone +39 (0)6225419167
Email comitato.etico@policlinicocampus.it
Website https://www.policlinicocampusbiomedico.it/

Funders

Funder type

Government

PNRR (National Recovery and Resilience Plan): M6/C2_CALL 2022. This research was supported by EU funding within the NextGenerationEU - Italian Ministry of Health PNRR (Project no. PNRR-MAD-2022-12376080) - CUP: F83C22002450001

No information available

Results and Publications

Intention to publish date31/12/2028
Individual participant data (IPD) Intention to shareNo
IPD sharing plan summaryNot expected to be made available
Publication and dissemination planPlanned publication in a high-impact peer-reviewed journal.
IPD sharing planDedicated personnel will develop a centralized web-based database. The e-infrastructure will be managed by authorized and authenticated access by users, who will be able to upload data and view patient information. Specific procedures for anonymity and protection of sensitive subject data will be implemented. In addition, the PI will organize monthly meetings to verify the reliability and accuracy of the collected data.

Patients who meet the inclusion criteria and have expressed an interest in participating will be asked to provide dated and signed informed consent. All participants will be assigned a unique identification code. No information identifying the participant in any way will be disseminated. The database will be anonymized through the use of the unique identification code associated with each subject recruited and managed with appropriate protection systems; demographic data identifying each patient will be stored in a separate spreadsheet available only to the study responsibles or their delegates. The database generated during and/or analyzed during the current study are not expected to be made available due to the sensitivity of patient data.

Editorial Notes

08/05/2024: The following changes were made to the trial record:
1. The funder type was changed from Hospital/teatment centre to Government and the funder names Fondazione Policlinico Universitario Campus Bio-Medico and Italian Ministry of Health were removed
2. The plain English summary was updated to reflect these changes.
23/10/2023: Study's existence confirmed by the Comitato Etico Fondazione Policlinico Universitario Campus Bio-Medico.