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      Preoperative predictors of poor acute postoperative pain control: a systematic review and meta-analysis

      systematic-review

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          Abstract

          Objectives Inadequate postoperative pain control is common and is associated with poor clinical outcomes. This study aimed to identify preoperative predictors of poor postoperative pain control in adults undergoing inpatient surgery. Design Systematic review and meta-analysis Data sources MEDLINE, Embase, CINAHL and PsycINFO were searched through October 2017. Eligibility criteria Studies in any language were included if they evaluated postoperative pain using a validated instrument in adults (≥18 years) and reported a measure of association between poor postoperative pain control (defined by study authors) and at least one preoperative predictor during the hospital stay. Data extraction and synthesis Two reviewers screened articles, extracted data and assessed study quality. Measures of association for each preoperative predictor were pooled using random effects models. Results Thirty-three studies representing 53 362 patients were included in this review. Significant preoperative predictors of poor postoperative pain control included younger age (OR 1.18 [95% CI 1.05 to 1.32], number of studies, n=14), female sex (OR 1.29 [95% CI 1.17 to 1.43], n=20), smoking (OR 1.33 [95% CI 1.09 to 1.61], n=9), history of depressive symptoms (OR 1.71 [95% CI 1.32 to 2.22], n=8), history of anxiety symptoms (OR 1.22 [95% CI 1.09 to 1.36], n=10), sleep difficulties (OR 2.32 [95% CI 1.46 to 3.69], n=2), higher body mass index (OR 1.02 [95% CI 1.01 to 1.03], n=2), presence of preoperative pain (OR 1.21 [95% CI 1.10 to 1.32], n=13) and use of preoperative analgesia (OR 1.54 [95% CI 1.18 to 2.03], n=6). Pain catastrophising, American Society of Anesthesiologists status, chronic pain, marital status, socioeconomic status, education, surgical history, preoperative pressure pain tolerance and orthopaedic surgery (vs abdominal surgery) were not associated with increased odds of poor pain control. Study quality was generally high, although appropriate blinding of predictor during outcome ascertainment was often limited. Conclusions Nine predictors of poor postoperative pain control were identified. These should be recognised as potentially important factors when developing discipline-specific clinical care pathways to improve pain outcomes and to guide future surgical pain research. PROSPERO registration number CRD42017080682.

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          Predictors of postoperative pain and analgesic consumption: a qualitative systematic review.

          Pain is a subjective and multidimensional experience that is often inadequately managed in clinical practice. Effective control of postoperative pain is important after anesthesia and surgery. A systematic review was conducted to identify the independent predictive factors for postoperative pain and analgesic consumption. The authors identified 48 eligible studies with 23,037 patients included in the final analysis. Preoperative pain, anxiety, age, and type of surgery were four significant predictors for postoperative pain. Type of surgery, age, and psychological distress were the significant predictors for analgesic consumption. Gender was not found to be a consistent predictor as traditionally believed. Early identification of the predictors in patients at risk of postoperative pain will allow more effective intervention and better management. The coefficient of determination of the predictive models was less than 54%. More vigorous studies with robust statistics and validated designs are needed to investigate this field of interest.
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            Opioid-induced hyperalgesia: a qualitative systematic review.

            Opioids are the cornerstone therapy for the treatment of moderate to severe pain. Although common concerns regarding the use of opioids include the potential for detrimental side effects, physical dependence, and addiction, accumulating evidence suggests that opioids may yet cause another problem, often referred to as opioid-induced hyperalgesia. Somewhat paradoxically, opioid therapy aiming at alleviating pain may render patients more sensitive to pain and potentially may aggravate their preexisting pain. This review provides a comprehensive summary of basic and clinical research concerning opioid-induced hyperalgesia, suggests a framework for organizing pertinent information, delineates the status quo of our knowledge, identifies potential clinical implications, and discusses future research directions.
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              • Article: not found

              Systematic reviews of evaluations of prognostic variables.

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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2019
                1 April 2019
                : 9
                : 4
                : e025091
                Affiliations
                [1 ] departmentDepartment of Clinical Neurosciences, Section of Neurosurgery , University of Calgary , Calgary, Alberta, Canada
                [2 ] departmentDepartment of Community Health Sciences , University of Calgary , Calgary, Alberta, Canada
                [3 ] departmentSection of Plastic Surgery, Department of Surgery , University of Calgary , Calgary, Alberta, Canada
                [4 ] departmentDivision of Endocrinology and Metabolism, Department of Medicine , University of Calgary , Calgary, Alberta, Canada
                [5 ] departmentDepartment of Neurology , Icahn School of Medicine at Mount Sinai , New York, NY, USA
                Author notes
                [Correspondence to ] Dr Michael M H Yang; minhan.yang@ 123456ucalgary.ca
                Author information
                http://orcid.org/0000-0003-4907-3510
                Article
                bmjopen-2018-025091
                10.1136/bmjopen-2018-025091
                6500309
                30940757
                a022f350-3259-441f-ba5d-59b1e45b4566
                © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 02 July 2018
                : 08 February 2019
                : 22 February 2019
                Categories
                Surgery
                Research
                1506
                1737
                Custom metadata
                unlocked

                Medicine
                postoperative pain,preoperative predictors,surgery,pain,pain scales,meta-analysis
                Medicine
                postoperative pain, preoperative predictors, surgery, pain, pain scales, meta-analysis

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