Diagnosis of Central Sensitization and Its Effects on Postoperative Outcomes following Total Knee Arthroplasty: A Systematic Review and Meta-Analysis.
Man Soo KimJae Jung KimKi Ho KangMin Jun KimYong InPublished in: Diagnostics (Basel, Switzerland) (2022)
Central sensitization (CS) has been extensively researched as a cause of persistent pain after total knee arthroplasty (TKA). This systematic review study sought to investigate the diagnosis of CS in patients who underwent TKA for knee osteoarthritis (OA) and the effect of CS on clinical outcomes after TKA. Three comprehensive databases, including MEDLINE, EMBASE, and the Cochrane Library, were searched for studies that evaluated the outcomes of TKA in knee OA patients with CS. Data extraction, risk of bias assessment, and (where appropriate) meta-analysis were performed. The standardized mean difference (SMD) with a 95% confidence interval was used to assess the different scales of pain. A total of eight studies were selected, including two retrospective studies and five prospective observational studies. One study used additional randomized controlled trial data. Five studies were finally included in the meta-analysis. All studies had a minimum follow-up period of 3 months. The Central Sensitization Inventory (CSI), whole-body pain diagram, and quantitative sensory testing (QST) were used for measuring CS. The pooled analysis showed that patients with CS had more severe postoperative pain after TKA (SMD, 0.65; 95% CI, 0.40-0.90; p < 0.01) with moderate heterogeneity (I 2 = 60%). In patients who underwent TKA with knee OA, CSI is most often used for the diagnosis of CS, and the QST and whole-body pain diagram are also used. CS is closely associated with more severe and persistent pain after TKA.
Keyphrases
- total knee arthroplasty
- systematic review
- knee osteoarthritis
- total hip
- chronic pain
- case control
- pain management
- postoperative pain
- meta analyses
- end stage renal disease
- randomized controlled trial
- neuropathic pain
- chronic kidney disease
- newly diagnosed
- ejection fraction
- prognostic factors
- high resolution
- electronic health record
- spinal cord injury
- early onset
- patients undergoing
- type diabetes
- study protocol
- multidrug resistant
- patient reported outcomes
- spinal cord
- machine learning
- clinical trial
- anterior cruciate ligament
- skeletal muscle
- deep learning
- drug induced
- high intensity