ArticleInternational journal of general medicine2021
Predictors of Chronic Postsurgical Pain in Elderly Patients Undergoing Hip Arthroplasty: A Multi-Center Retrospective Cohort Study.
Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 18 citations in OpenAlex.
- The impact of preoperative depressive symptoms on acute and chronic postoperative pain trajectories after orthopedic surgery for adolescent idiopathic scoliosis: a prospective cohort study.Journal of orthopaedic surgery and research · 2026Article
- Observational
- Biopsychosocial predictive factors for developing chronic postsurgical pain after hip replacement surgery: A systematic review.Osteoarthritis and cartilage open · 2026Review
- "Pain Prehabilitation" in Major Joint Surgery: The Way Forward to Improve Outcomes and Prevent Pain Chronicity.Journal of clinical medicine · 2025Review
- Anxiety and depression status in geriatric patients undergoing total hip arthroplasty: Correlation with postoperative pain and risk factors.World journal of psychiatry · 2025Article
- Factors Influencing Perioperative Occult Blood Loss in Elderly Hip Fracture Patients: A Retrospective Analysis.Journal of musculoskeletal & neuronal interactions · 2024Article
- Individual Factors Modifying Postoperative Pain Management in Elective Total Hip and Total Knee Replacement Surgery.Life (Basel, Switzerland) · 2024Article
- A prospective study of chronic postsurgical pain in elderly patients: incidence, characteristics and risk factors.BMC geriatrics · 2023Article
- Association between single nucleotide variants and severe chronic pain in older adult patients after lower extremity arthroplasty.Journal of orthopaedic surgery and research · 2023Article
- Factors associated with persistent postsurgical pain after total knee or hip joint replacement: a systematic review and meta-analysis.Pain reports · 2023Review
- Development and Validation of a Prediction Model for Chronic Post-Surgical Pain After Thoracic Surgery in Elderly Patients: A Retrospective Cohort Study.Journal of pain research · 2022Article
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6 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundIdentifying patients at high risk of developing chronic postsurgical pain (CPSP) is of extreme importance in order to help launch appropriate therapeutic strategies and intensive initiation of pain management.
aimIn this study, we aimed to conduct a multi-center retrospective cohort study to establish a prognostic model and a nomogram to predict the risks of CPSP in elderly patients who underwent hip arthroplasty at 6 months postoperatively.
methodsWe collected data from 736 patients aged >65 years who had undergone hip arthroplasty from October 1, 2016 to September, 30, 2018 at multiple tertiary referral centers in Guangzhou, China. All data were randomly stratified into a training set and a testing set at a ratio of 8:2. Data were analyzed via multiple logistic regression analysis with receiver operating characteristic (ROC) curves and areas under the curve. This model was further validated by estimating calibration and discrimination. A nomogram was ultimately developed.
resultsA total of 736 eligible patients were enrolled, 27.20% of whom developed CPSP within 6 months postoperatively. Preoperative pain in the surgical area (OR=2.456, 95% CI:1.814-3.327, P<0.001), preoperative depression state (OR=1.256, 95% CI:1.146-1.378, P<0.001), surgical type (OR=7.138, 95% CI:3.548-14.364, P<0.001), acute postoperative numerical rating scale score (OR=5.537, 95% CI:3.607-8.499, P<0.001) and analgesic type (patient-controlled epidural analgesia: OR=0.129, 95% CI:0.055-0.299, P<0.001; patient-controlled intravenous analgesia: OR=0.033, 95% CI:0.011-0.097, P<0.001) were identified as independent significant factors associated with CPSP. A prognostic model was established and further validated. An ROC curve confirmed the predictive ability of this model with a high sensitivity value of 92.12% (95% CI:86.90-95.74) and specificity value of 91.72% (95% CI:88.77-94.11). A nomogram was developed to simplify the use of the predictive model in clinical practice.
conclusionThis prognostic model could be of great value in clinical practice, serving as the basis for early personalized analgesic management of elderly patients undergoing hip arthroplasty.
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