Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| I.R.C.C.S Ospedale Galeazzi-Sant'Ambrogio | OTHER |
| Azienda Ospedaliero Universitaria di Sassari | OTHER |
Not provided
Not provided
Not provided
Not provided
Data collection from patients included in the observational clinical study will be achieved by the following activities:
A total of 100 patients with degenerative meniscal tears will be enrolled in the observational study and treated according to the current standard of care which consists in an arthroscopic partial meniscectomy in all the three clinical operative Unit involved in the project.
Demographic, anamnestic and clinical data (age, gender, BMI, habits, co-morbidities, pharmacological treatments) of the patients included in the observational clinical study will be collected.
Clinical routine assessments will be performed before surgery to assess the overall condition of the joint. A morphological profiling based on the MRI will be performed on patients prior or after the surgery since no change in knee morphology is expected to occur. Clinical routine assessments will be performed also after treatment to check for possible joint changes after the surgery.
Before surgery, peripheral blood samples from each patient enrolled in the observational study will be collected. Total blood count will be registered and included in the set of the patients' data. Total RNA will be purified from the blood samples and integrity of each RNA sample will be evaluated to exclude possible degradation during the procedure.Total RNA will be preamplified to perform the qRT-PCR-based analysis sifting a well-described set of 754 miRNAs panel known for their involvement in several joint and blood cell types' homeostasis and activation. The most abundantly expressed and relevant miRNAs will be identified in the whole set of samples and included in the set of the patients' data. Combination and interpretation of the clinical, morphological, imaging and biomarker -omics data will follow in order to identify the patient characteristics that are more associated to the development of post-meniscectomy OA, following these steps: A patient registry (PEARL registry) containing all the anamnestic, clinical, radiological and morphological data, as well as the blood count and the most relevant and abundant miRNAs obtained through the transcriptomic analyses carried out during the study, will be generated.
Patients will be clinically and radiologically monitored at short- and long-term to evaluate the possible onset of OA post-meniscectomy. Any possible relevant clinical data and adverse events encountered during the patient's clinical path will be tracked.
Patients will be assigned to categories based on the PEARL registry data and their clinical outcome post- meniscectomy. This will help identifying possible risk factors and pre-treatment markers associated to the susceptibility of patients to develop post-meniscectomy OA.
An algorithm that will use the information gathered in the previous steps will be developed. This tool will allow to identify patients more likely to suffer from post-meniscectomy OA and therefore to help in the therapeutic choice. The constant updating of the register over time beyond the project duration will allow to obtain increasingly reliable and consolidated information to further strength the predictivity of the algorithm for choosing the best treatment based on the patients' characteristics.
Patient demographic, anamnestic, clinical, radiological and morphological data will be collected and reported in the database PEARL, assigning an individual ID to each patient. The most relevant and abundant miRNAs obtained through the transcriptomic analyses will be included too. Information about age, gender, body mass index, type of meniscal lesion, type of injury (if any), time of symptoms onset, general knee condition, previous surgical and/or pharmacological treatments, co-morbidities will be included too. Subjective knee evaluations of patients will be collected by using internationally accepted PROMs (Patient Reported Outcome Measures) among which IKDC (International Knee Documentation Committee) Objective Score, KOOS (Knee Injury and Osteoarthritis Outcome Score), VAS (Visual Analogue Score) Pain and EQ-5D-5L. All these data will be collected during the pre-surgical visit and on follow up. Two MRIs are planned for the study, during screening visit and at 6 months follow-up visit; at least one of the two MRIs will be performed with a 3D protocol to assess the bone component. Therefore,radiological and morphological data will include standard x-ray and MRI protocol implemented by metadata of 3D MRI protocol (near-isotropic 0.83mm T2 SPACE and near-isotropic 0.63mm proton density SPACE) when needed. Accurate 3D models of femur bone and cartilage, tibia bone and cartilage and menisci will be reconstructed from (near-)isotropic high-resolution 3D MRI scans. For morphology analysis, a 3D DESS MRI sequence will be complemented with modern clinical sequences for diagnostic purposes. Using the reconstructed 3D models, advanced landmark-based and statistical shape analyses will be performed. The extracted shape features from these analyses will then serve as input for conventional statistical algorithms or state-of-the-art machine learning techniques. Finally, the addition of standing full-leg radiographs gives more insights in the biomechanics of the complete lower-limb from hip to toe. Alignment of the femur with respect to the tibia will be evaluated in both coronal and sagittal plane. These alignment variables will then be used as input for conventional statistics and machine learning algorithms both separately and combined with the knee-specific shape features (cf. previous paragraph).
Data related to the high-throughput transcriptomic analyses will include the most expressed blood miRNAs for each patients. Data will be generated on the Applied Biosystems' QuantStudio' 12K Flex RealTime PCR System using Expression Suite Software. Quantitation will be assessed by the 'relative threshold' method (Crt method) that sets a threshold for each amplification individually that is based on the shape of the amplification curve. Data normalization will be performed with RefFinder tool that evaluates and screens stable candidates from extensive experimental datasets.
After publication, the raw data related to in vitro analyses as well as pre-clinical and clinical anonimazed data will be made available through an open access database.
The timing of analysis data of the study will be as follows:
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Selective meniscectomy | Procedure | involves the partial removal of the damaged meniscus. |
| Measure | Description | Time Frame |
|---|---|---|
| Primary objective | To monitor the possible progression of post-meniscectomy OA one year after the treatment | 6-12 months |
| Primary objective | Describing the clinical profile of patient | 6-12 months |
| Primary objective | Describing the morphological profile of patient | 6-12 months |
| Primary objective | Describing the miRNA profile of patient | 6-12 months |
| Measure | Description | Time Frame |
|---|---|---|
| Secondary objectives | 1) To develop the PEARL Patient registry | 12 months |
| Secondary objectives | To define specific pre-treatment markers and risk factors related to negative outcome in the long term |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
A total of 100 patients with degenerative meniscal tears will be enrolled in the observational study and treated according to the current standard of care which consists in an arthroscopic partial meniscectomy in all the three clinical operative Unit involved in the project.Demographic, anamnestic and clinical data (age, gender, BMI, habits, co-morbidities, pharmacological treatments) of the patients included in the observational clinical study will be collected.
Clinical routine assessments will be performed before surgery to assess the overall condition of the joint. A morphological profiling based on the MRI will be performed on patients prior or after the surgery since no change in knee morphology is expected to occur. Clinical routine assessments will be performed also after treatment to check for possible joint changes after the surgery.
Not provided
Not provided
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Galeazzi Orthopaedic Institute | Milan | Milano | 20157 | Italy | ||
| Irccs Humanitas Research Hospital |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 34534661 | Background | Allen KD, Thoma LM, Golightly YM. Epidemiology of osteoarthritis. Osteoarthritis Cartilage. 2022 Feb;30(2):184-195. doi: 10.1016/j.joca.2021.04.020. Epub 2021 Sep 14. | |
| 21247936 | Background | Papalia R, Del Buono A, Osti L, Denaro V, Maffulli N. Meniscectomy as a risk factor for knee osteoarthritis: a systematic review. Br Med Bull. 2011;99:89-106. doi: 10.1093/bmb/ldq043. Epub 2011 Jan 19. |
Not provided
Not provided
We are careful not to share patient data from our study and it is necessary that the other centres also agree on approval despite the fact that the Humanitas Research Hospital is the sponsor of the project.
Not provided
Not provided
Not provided
Not provided
Not provided
| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Dec 13, 2024 | Mar 25, 2025 | Prot_SAP_000.pdf |
Not provided
Not provided
Not provided
Not provided
Before surgery, peripheral blood samples from each patient enrolled in the observational study will be collected. Total blood count will be registered and included in the set of the patients' data. Total RNA will be purified from the blood samples and integrity of each RNA sample will be evaluated to esclude possible degradation during the procedure. Total RNA will be preamplified to perform the qRT-PCR-based analysis sifting a well-described set of 754 miRNAs panel known for their involvement in several joint and blood cell types' homeostasis and activation. The most abundantly expressed and relevant miRNAs will be identified in the whole set of samples and included in the set of the patients' data.
| 12 months |
| Milan |
| Rozzano |
| 20089 |
| Italy |
| UNISS Università Degli Studi Di Sassari | Sassari | 07100 | Italy |