{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T04:46:30Z","timestamp":1790484390772,"version":"4.1.0"},"reference-count":50,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2021,10,24]],"date-time":"2021-10-24T00:00:00Z","timestamp":1635033600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Medtronic","award":["ERP NM-3351"],"award-info":[{"award-number":["ERP NM-3351"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"abstract":"<jats:p>The multidimensionality of chronic pain forces us to look beyond isolated assessment such as pain intensity, which does not consider multiple key parameters, particularly in post-operative Persistent Spinal Pain Syndrome (PSPS-T2) patients. Our ambition was to produce a novel Multi-dimensional Clinical Response Index (MCRI), including not only pain intensity but also functional capacity, anxiety-depression, quality of life and quantitative pain mapping, the objective being to achieve instantaneous assessment using machine learning techniques. Two hundred PSPS-T2 patients were enrolled in the real-life observational prospective PREDIBACK study with 12-month follow-up and received various treatments. From a multitude of questionnaires\/scores, specific items were combined, as exploratory factor analyses helped to create a single composite MCRI; using pairwise correlations between measurements, it appeared to more accurately represent all pain dimensions than any previous classical score. It represented the best compromise among all existing indexes, showing the highest sensitivity\/specificity related to Patient Global Impression of Change (PGIC). Novel composite indexes could help to refine pain assessment by informing the physician\u2019s perception of patient condition on the basis of objective and holistic metrics, and also by providing new insights regarding therapy efficacy\/patient outcome assessments, before ultimately being adapted to other pathologies.<\/jats:p>","DOI":"10.3390\/jcm10214910","type":"journal-article","created":{"date-parts":[[2021,10,24]],"date-time":"2021-10-24T22:06:16Z","timestamp":1635113176000},"page":"4910","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["A Novel Multi-Dimensional Clinical Response Index Dedicated to Improving Global Assessment of Pain in Patients with Persistent Spinal Pain Syndrome after Spinal Surgery, Based on a Real-Life Prospective Multicentric Study (PREDIBACK) and Machine Learning Techniques"],"prefix":"10.3390","volume":"10","author":[{"given":"Philippe","family":"Rigoard","sequence":"first","affiliation":[{"name":"PRISMATICS Lab (Predictive Research in Spine\/Neuromodulation Management and Thoracic Innovation\/Cardiac Surgery), Poitiers University Hospital, 86021 Poitiers, France"},{"name":"Department of Spine Surgery & Neuromodulation, Poitiers University Hospital, 86021 Poitiers, France"},{"name":"Pprime Institute UPR 3346, CNRS, ISAE-ENSMA, University of Poitiers, 86360 Chasseneuil-du-Poitou, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2964-6430","authenticated-orcid":false,"given":"Amine","family":"Ounajim","sequence":"additional","affiliation":[{"name":"PRISMATICS Lab (Predictive Research in Spine\/Neuromodulation Management and Thoracic Innovation\/Cardiac Surgery), Poitiers University Hospital, 86021 Poitiers, France"},{"name":"Laboratoire de Math\u00e9matiques et Applications UMR 7348, CNRS, 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France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5295-3311","authenticated-orcid":false,"given":"Yousri","family":"Slaoui","sequence":"additional","affiliation":[{"name":"Laboratoire de Math\u00e9matiques et Applications UMR 7348, CNRS, University of Poitiers, 86073 Poitiers, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manuel","family":"Roulaud","sequence":"additional","affiliation":[{"name":"PRISMATICS Lab (Predictive Research in Spine\/Neuromodulation Management and Thoracic Innovation\/Cardiac Surgery), Poitiers University Hospital, 86021 Poitiers, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2041-9952","authenticated-orcid":false,"given":"Nicolas","family":"Naiditch","sequence":"additional","affiliation":[{"name":"PRISMATICS Lab (Predictive Research in Spine\/Neuromodulation Management and Thoracic Innovation\/Cardiac Surgery), Poitiers 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