Background: Virtual reality (VR) has been shown to reduce pain, however outcome parameters of previous studies have primarily been of a subjective nature and susceptible to bias. This study investigated the effect of VR on cortical processing of evoked potentials (EPs) and subjectively reported pain. Additionally, we explored whether subjects' demographic and personal characteristics modulated the effect of VR analgesia. Methods: Three VR conditions were compared in a randomized cross-over study of 30 healthy volunteers: Passive VR (i.e. no interaction possible with the virtual world), active VR (interactive virtual environment) and no VR (black screen). Subjects received noxious electrical stimuli at random intervals during all conditions. EPs, recorded at Cz, were extracted time locked to stimuli. Pain scores were reported after each condition. Results: Active VR significantly decreased pain scores and amplitudes of N1 and P3. Passive VR had no analgesic effect. Age was significantly correlated to pain scores, with older subjects demonstrating larger effects of VR. Gender, game experience, and susceptibility for immersion, did not influence VR analgesia. Conclusion: Active VR decreases preperceptual and perceptual brain activity following painful electrical stimuli, corresponding with reduced pain experience. VR has potential to serve as a non-pharmacologic treatment for pain, particularly in elderly patients.
Background: Evidence on the effect of non-steroidal anti-inflammatory drugs (NSAIDs) on anastomotic leak (AL) rate after colorectal surgery is conflicting. Effects of NSAIDs might depend on the underlying disease. This meta-analysis aimed to review the effect of NSAIDs on AL rate in a homogeneous colorectal cancer patient population. Methods: A systematic literature search using MEDLINE and EMBASE database was performed for studies with AL as primary outcome comparing NSAID use in the early postoperative phase with no NSAID administration in colorectal cancer patients undergoing surgical resection. Results: Nine studies including 10,868 patients met the inclusion criteria. The majority, 7689 patients (70.7%) underwent low anterior resection and 3050 patients (28.1%) underwent colonic resection. The pooled incidence of AL was 8.6% (95%CI 7.0e10.0). Overall AL rate after colorectal cancer surgery was not increased in patients using NSAIDs for postoperative analgesia compared to non-users (p ¼ 0.34, RR 1.23; 95%CI 0.81e1.86). This effect remained non-significant after stratification for low anterior resections (p ¼ 0.07). Stratification for colonic resections could not be performed because AL results for this subgroup were not reported separately. Neither non-selective NSAID use nor COX-2 selective NSAID use caused an increased AL rate (p ¼ 0.19, p ¼ 0.26). The results were robust throughout sensitivity analyses. Conclusion: Use of NSAIDs in cohorts with patients undergoing surgical resection for colorectal cancer does not increase overall AL rate. Since results were robust throughout several subgroup and sensitivity analyses, prescription of NSAIDs after colorectal cancer surgery seems safe.
Background Adhesions are a major cause of long-term postsurgical complications in abdominal and pelvic surgery. Existing adhesion scores primarily measure morphological characteristics of adhesions that do not necessarily correlate with morbidity. The aim of this study was to develop a clinical adhesion score (CLAS) measuring overall clinical morbidity of adhesion-related complications in abdominal and pelvic surgery. Methods An international Delphi study was performed to identify relevant score items for adhesion-related complications, including small bowel obstruction, female infertility, chronic abdominal or pelvic pain, and difficulties at reoperation. The CLAS includes clinical outcomes, related to morbidity of adhesions, and weight factors, to correct the outcome scores for the likelihood that symptoms are truly caused by adhesions. In a pilot study, two independent researchers retrospectively scored the CLAS in 51 patients to evaluate inter-observer reliability, by calculating the Intraclass correlation coefficient. During a feasibility assessment, we evaluated whether the CLAS completely covered different clinical scenarios of adhesion-related morbidity. Results Three Delphi rounds were performed. 43 experts agreed to participate, 38(88%) completed the first round, and 32 (74%) the third round. Consensus was reached on 83.4% of items. Inter-observer reliability for the CLAS was 0.95 (95% CI 0.91–0.97). During feasibility assessment, six items were included. As a result, the CLAS includes 22 outcomes and 23 weight factors. Conclusion The CLAS represents a promising scoring system to measure and monitor the clinical morbidity of adhesion-related complications. Further studies are needed to confirm its utility in clinical practice.
There is a rapidly growing body of evidence for the application of virtual reality (VR) in pain management, however, with varying effectiveness. Little is known about patient-related and VR-related factors affecting efficacy of VR. A systematic review and meta-analysis was performed including 122 randomised controlled trials (9138 patients), reporting on subjectively reported pain scores comparing an immersive VR intervention to a non-VR control group. Virtual reality significantly reduced pain in the pooled analysis (standardized mean difference = −0.65, 95% CI −0.76 to −0.54, P < 0.001). Subgroup analyses showed no significant differences between type of pain, ie, VR effects were similar in acute, chronic, and procedural pain conditions. Univariate and multivariate meta-regression analyses were performed to investigate the effect of intervention, patient, and pain characteristics on VR. Virtual reality effectively reduced pain, especially in patients reporting moderate to severe pain and in younger subjects. Studies comparing VR with a control group receiving no distraction methods were associated with higher effect sizes. The effect of VR was not related to a specific frequency or duration of use. Type of software and interaction level were related to VR effects in the univariable, but not in the multivariable, meta-regression analysis. Heterogeneity was considerable for all meta-analyses, and risk of bias was moderate to high in most included studies. Studies on mechanisms behind VR analgesia in younger patients and patients reporting moderate to severe pain are recommended to confirm our hypotheses while taking into account risk of bias and the comparator. Optimal application of VR using treatment modules for long-term pain conditions are an important issue for future research.
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