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Meta-Analysis
.2018 Dec 14;8(12):e024086.
doi: 10.1136/bmjopen-2018-024086.

Risk factors for opioid-induced respiratory depression in surgical patients: a systematic review and meta-analyses

Affiliations
Meta-Analysis

Risk factors for opioid-induced respiratory depression in surgical patients: a systematic review and meta-analyses

Kapil Gupta et al. BMJ Open..

Abstract

Objective: This systematic review and meta-analysis aim to evaluate the risk factors associated with postoperative opioid-induced respiratory depression (OIRD).

Design: Systematic review and meta-analysis.

Data sources: PubMed-MEDLINE, MEDLINE in-process, EMBASE, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, PubMed and Clinicaltrials.gov (January 1946 to November 2017).

Eligibility criteria: The inclusion criteria were: (1) adult patients 18 years or older who were administered opioids after surgery and developed postoperative OIRD (OIRD group); (2) all studies which reported both OIRD events and associated risk factors; (3) all studies with reported data for each risk factor on patients with no OIRD (control group) and (4) published articles in English language.

Data analysis: We used a random effects inverse variance analysis to evaluate the existing evidence of risk factors associated with OIRD. Newcastle-Ottawa scale scoring system was used to assess quality of study.

Results: Twelve observational studies were included from 8690 citations. The incidence of postoperative OIRD was 5.0 cases per 1000 anaesthetics administered (95% CI: 4.8 to 5.1; total patients: 841 424; OIRD: 4194). Eighty-five per cent of OIRD occurred within the first 24 hours postoperatively. Increased risk for OIRD was associated with pre-existing cardiac disease (OIRD vs control: 42.8% vs 29.6%; OR: 1.7; 95% CI: 1.2 to 2.5; I2: 0%; p<0.002), pulmonary disease (OIRD vs control: 17.8% vs 10.3%; OR: 2.2; 95% CI: 1.3 to 3.6; I2: 0%; p<0.001) and obstructive sleep apnoea (OIRD vs control: 17.9% vs 16.5%; OR: 1.4; 95% CI: 1.2 to 1.7; I2: 31%; p=0.0003). The morphine equivalent daily dose of the postoperative opioids was higher in the OIRD group than in the control; (24.7±14 mg vs 18.9±13.0 mg; mean difference: 2.8; 95% CI: 0.4 to 5.3; I2: 98%; p=0.02). There was no significant association between OIRD and age, gender, body mass index or American Society of Anesthesiologists physical status.

Conclusion: Patients with cardiac, respiratory disease and/or obstructive sleep apnoea were at increased risk for OIRD. Patients with postoperative OIRD received higher doses of morphine equivalent daily dose.

Keywords: anaesthesia; opioids; postoperative complications; respiratory depression; risk factors; surgery.

© Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

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Conflict of interest statement

Competing interests: JW reports grants from the Ontario Ministry of Health and Long-Term Care, Anesthesia Patient Safety Foundation and Acacia Pharma outside of the submitted work. FC reports research support from the Ontario Ministry of Health and Long-Term Care, University Health Network Foundation, Acacia Pharma, Medtronic grants to institution outside of the submitted work, up-to-date royalties, STOP-Bang proprietary to University Health Network. TNW currently serves as a consultant to Medtronic in the role as chairman of the Clinical Endpoint Committee for the Prodigy Trial; has received unrestricted investigator-initiated grants from Merck (active) and Baxter (completed), and research support from Respiratory Motion (study equipment) and research support from Respiratory Motion (study equipment).

Figures

Figure 1
Figure 1
Flow diagram of search strategy used for systematic review and meta-analysis.
Figure 2
Figure 2
Meta-analysis evaluating the risk factors for respiratory events between OIRD and control groups in patients undergoing surgery. The pooled OR for each risk factor is plotted along with the 95% CI summarises the effect size using the inverse variance random effects model. Age and BMI represented as mean±SD. ASA, American Society of Anesthesiologists; BMI, body mass index; I2, heterogeneity; OIRD, opioid-induced respiratory depression; OSA, obstructive sleep apnoea.
Figure 3
Figure 3
Meta-analysis evaluating the risk factors for respiratory events between OIRD and control groups in patients undergoing surgery. The pooled OR for each risk factor is plotted along with the 95% CI summarises the effect size using the inverse variance random effects model. I2, heterogeneity; LOS, length of hospital stay represented as mean±SD; MEDD, morphine equivalent daily dose; OIRD, opioid-induced respiratory depression; PCA, patient-controlled analgesia.
See this image and copyright information in PMC

References

    1. Frasco PE, Sprung J, Trentman TL. The impact of the joint commission for accreditation of healthcare organizations pain initiative on perioperative opiate consumption and recovery room length of stay. Anesth Analg 2005;100:162–8. 10.1213/01.ANE.0000139354.26208.1C - DOI - PubMed
    1. Kessler ER, Shah M, Gruschkus SK, et al. . Cost and quality implications of opioid-based postsurgical pain control using administrative claims data from a large health system: opioid-related adverse events and their impact on clinical and economic outcomes. Pharmacotherapy 2013;33:383–91. 10.1002/phar.1223 - DOI - PubMed
    1. Rosenfeld DM, Betcher JA, Shah RA, et al. . Findings of a naloxone database and its utilization to improve safety and education in a tertiary care medical center. Pain Pract 2016;16:327–33. 10.1111/papr.12277 - DOI - PubMed
    1. Weingarten TN, Chong EY, Schroeder DR, et al. . Predictors and outcomes following naloxone administration during Phase I anesthesia recovery. J Anesth 2016;30:116–22. 10.1007/s00540-015-2082-0 - DOI - PubMed
    1. Taylor S, Kirton OC, Staff I, et al. . Postoperative day one: a high risk period for respiratory events. Am J Surg 2005;190:752–6. 10.1016/j.amjsurg.2005.07.015 - DOI - PubMed

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