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Predictive factors for sleep apnoea in patients on opioids for chronic pain.

ABSTRACT: Background:The risk of death is elevated in patients taking opioids for chronic non-cancer pain. Respiratory depression is the main cause of death due to opioids and sleep apnoea is an important associated risk factor. Methods:In chronic pain clinics, we assessed the STOP-Bang questionnaire (a screening tool for sleep apnoea; Snoring, Tiredness, Observed apnoea, high blood Pressure, Body mass index, age, neck circumference and male gender), Epworth Sleepiness Scale, thyromental distance, Mallampati classification, daytime oxyhaemoglobin saturation (SpO2) and calculated daily morphine milligram equivalent (MME) approximations for each participant, and performed an inlaboratory polysomnogram. The primary objective was to determine the predictive factors for sleep apnoea in patients on chronic opioid therapy using multivariable logistic regression models. Results:Of 332 consented participants, 204 underwent polysomnography, and 120 (58.8%) had sleep apnoea (AHI ?5) (72% obstructive, 20% central and 8% indeterminate sleep apnoea), with a high prevalence of moderate (23.3%) and severe (30.8%) sleep apnoea. The STOP-Bang questionnaire and SpO2 are predictive factors for sleep apnoea (AHI ?15) in patients on opioids for chronic pain. For each one-unit increase in the STOP-Bang score, the odds of moderate-to-severe sleep apnoea (AHI ?15) increased by 70%, and for each 1% SpO2 decrease the odds increased by 33%. For each 10 mg MME increase, the odds of Central Apnoea Index ?5 increased by 3%, and for each 1% SpO2 decrease the odds increased by 45%. Conclusion:In patients on opioids for chronic pain, the STOP-Bang questionnaire and daytime SpO2 are predictive factors for sleep apnoea, and MME and daytime SpO2 are predictive factors for Central Apnoea Index ?5. Trial registration number:NCT02513836.

SUBMITTER: Chung F

PROVIDER: S-EPMC6936992 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Predictive factors for sleep apnoea in patients on opioids for chronic pain.

Chung Frances F Wong Jean J Bellingham Geoff G Lebovic Gerald G Singh Mandeep M Waseem Rida R Peng Philip P George Charles F P CFP Furlan Andrea A Bhatia Anuj A Clarke Hance H Juurlink David N DN Mamdani Muhammad M MM Horner Richard R Orser Beverley A BA Ryan Clodagh M CM

BMJ open respiratory research 20191223 1

<h4>Background</h4>The risk of death is elevated in patients taking opioids for chronic non-cancer pain. Respiratory depression is the main cause of death due to opioids and sleep apnoea is an important associated risk factor.<h4>Methods</h4>In chronic pain clinics, we assessed the STOP-Bang questionnaire (a screening tool for sleep apnoea; <i>S</i>noring, <i>T</i>iredness, <i>O</i>bserved apnoea, high blood <i>P</i>ressure, <i>B</i>ody mass index, age, neck circumference and male gender), Epwor ...[more]

PMID: 31908788

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Project description:ImportanceOpioid-prescribing policies and guidelines aimed at reducing inappropriate opioid prescribing may lead physicians to stop prescribing opioids. Patients may thus encounter difficulties finding primary care practitioners willing to care for them if they take opioids.ObjectivesTo assess practitioner willingness to accept and continue prescribing opioids to new patients with pain and whether this willingness differs across payer types.Design, setting, and participantsThis survey study used a simulated patient call audit method. A brief telephone survey was administered to all clinics followed by a call using a patient script simulating an adult patient with chronic pain who was taking long-term opioids. The patient had Medicaid or private insurance. Calls were made between June 22 and October 30, 2018, to 667 primary care clinics that served a general adult population in Michigan. Clinics that accepted both Medicaid and private insurance, took new patient appointments, and were successfully recontacted for the simulated call were eligible for the study.Main outcomes and measuresPrevalence of clinics' acceptance of new patients receiving prescription opioids overall and by clinic characteristics and insurance type.ResultsOf the 194 eligible clinics, 94 (48.4%) were randomized according to insurance type to receive calls from research assistants posing as children of patients with Medicaid and 100 (51.5%) to receive calls from those with private insurance. Overall, 79 (40.7%) stated that their practitioners would not prescribe opioids to the simulated patient. Thirty-three clinics (17.0%) requested more information before making a decision. Compared with single-practitioner clinics, clinics with more than 3 practitioners were more likely (odds ratio [OR], 2.99; 95% CI, 1.48-6.04) to accept new patients currently taking opioids. No difference was found in access based on insurance status (OR, 0.92; 95% CI, 0.52-1.64) or whether the clinic offered medications for opioid use disorders (OR, 1.10; 95% CI, 0.45-2.69).Conclusions and relevanceThe findings suggest that access to primary care may be reduced for patients taking prescription opioids, which could lead to unintended consequences, such as conversion to illicit substances or reduced management of other medical comorbidities.

Project description:BackgroundCurrent guideline-recommended monitoring of patients prescribed long-term opioid therapy (LTOT) for chronic pain will likely result in increased identification of behaviors of concern for misuse and addiction, but there is a dearth of empiric evidence about how these behaviors should be managed.ObjectiveTo establish expert consensus about treatment approaches for common and challenging concerning behaviors that arise among patients on LTOT.DesignWe used a Delphi approach, which allows for generation of consensus.ParticipantsParticipants were clinical experts in chronic pain and opioid prescribing recruited from professional societies and other expert groups.Main measuresThe Delphi process was conducted online, and consisted of an initial brainstorming round to identify common and challenging behaviors, a second round to identify management strategies for each behavior, and two rounds to establish consensus and explore disagreement/uncertainty.Key resultsForty-two participants completed round 1, 22 completed round 2, 30 completed round 3, and 28 completed round 4. Half of round 1 participants were female (52%), and the majority were white (83%). Most (71%) were physicians, and most participants practiced in academic primary (40%) or specialty care (19%).The most frequently cited common and challenging behaviors were missing appointments, taking opioids for symptoms other than pain, using more opioid medication than prescribed, asking for an increase in opioid dose, aggressive behavior, and alcohol and other substance use. Across behaviors, participants agreed that patient education and information gathering were important approaches. Participants also agreed that stopping opioids is not important initially, but if initial approaches do not work, tapering opioids and stopping opioids immediately may become important approaches.ConclusionsThis study presents clinical expert consensus on how to manage concerning behaviors among patients on LTOT. Future research is needed to investigate how implementing these management strategies would impact patient outcomes, practice and policy.

Project description:ImportanceLong-acting opioids increase the risk of unintentional overdose deaths but also may increase mortality from cardiorespiratory and other causes.ObjectiveTo compare all-cause mortality for patients with chronic noncancer pain who were prescribed either long-acting opioids or alternative medications for moderate to severe chronic pain.Design, setting, and participantsRetrospective cohort study between 1999 and 2012 of Tennessee Medicaid patients with chronic noncancer pain and no evidence of palliative or end-of-life care.ExposuresPropensity score-matched new episodes of prescribed therapy for long-acting opioids or either analgesic anticonvulsants or low-dose cyclic antidepressants (control medications).Main outcomes and measuresTotal and cause-specific mortality as determined from death certificates. Adjusted hazard ratios (HRs) and risk differences (difference in incidence of death) were calculated for long-acting opioid therapy vs control medication.ResultsThere were 22,912 new episodes of prescribed therapy for both long-acting opioids and control medications (mean [SD] age, 48 [11] years; 60% women). The long-acting opioid group was followed up for a mean 176 days and had 185 deaths and the control treatment group was followed up for a mean 128 days and had 87 deaths. The HR for total mortality was 1.64 (95% CI, 1.26-2.12) with a risk difference of 68.5 excess deaths (95% CI, 28.2-120.7) per 10,000 person-years. Increased risk was due to out-of-hospital deaths (154 long-acting opioid, 60 control deaths; HR, 1.90; 95% CI, 1.40-2.58; risk difference, 67.1; 95% CI, 30.1-117.3) excess deaths per 10,000 person-years. For out-of-hospital deaths other than unintentional overdose (120 long-acting opioid, 53 control deaths), the HR was 1.72 (95% CI, 1.24-2.39) with a risk difference of 47.4 excess deaths (95% CI, 15.7-91.4) per 10,000 person-years. The HR for cardiovascular deaths (79 long-acting opioid, 36 control deaths) was 1.65 (95% CI, 1.10-2.46) with a risk difference of 28.9 excess deaths (95% CI, 4.6-65.3) per 10,000 person-years. The HR during the first 30 days of therapy (53 long-acting opioid, 13 control deaths) was 4.16 (95% CI, 2.27-7.63) with a risk difference of 200 excess deaths (95% CI, 80-420) per 10,000 person-years.Conclusions and relevancePrescription of long-acting opioids for chronic noncancer pain, compared with anticonvulsants or cyclic antidepressants, was associated with a significantly increased risk of all-cause mortality, including deaths from causes other than overdose, with a modest absolute risk difference. These findings should be considered when evaluating harms and benefits of treatment.

Project description:An increased prevalence of obstructive sleep apnoea (OSA) has been suggested in patients with ankylosing spondylitis (AS) in a few controlled studies. We aimed to study the prevalence of OSA compared to controls and to investigate if disease-related and non-disease-related factors were determinants of OSA in AS patients. One hundred and fifty-five patients with AS were included in the Backbone study, a cross-sectional study that investigates severity and comorbidities in AS. Controls were recruited from the Swedish CArdioPulmonary bioImage Study. To evaluate OSA, the participants were asked to undergo home sleep-monitoring during one night's sleep. For each AS patient 45-70 years old, four controls were matched for sex, age, weight, and height. OSA was defined as an apnoea-hypopnoea index (AHI) ≥ 5 events/hour. Sixty-three patients with AS were examined with home sleep-monitoring, and 179 controls were matched with 46 patients, 45-70 years. Twenty-two out of 46 (47.8%) patients with AS vs. 91/179 (50.8%) controls had OSA (AHI ≥ 5 events/hour), P = 0.72. No differences in the sleep measurements were noted in AS patients vs. controls. In logistic regression analysis adjusted for age and sex, higher age, higher BMI, and lesser chest expansion were associated with the presence of OSA in the 63 AS patients. In the current study, patients with AS did not have a higher prevalence of OSA compared to matched controls. AS patients with OSA had higher BMI, were older, and had lesser chest expansion because of more severe AS compared to patients without OSA. Key points • Patients with ankylosing spondylitis did not have a higher prevalence of obstructive sleep apnoea versus matched controls. • Patients with ankylosing spondylitis and obstructive sleep apnoea were older and had higher body mass index versus patients without obstructive sleep apnoea. • Patients with ankylosing spondylitis and obstructive sleep apnoea had lesser chest expansion versus patients without obstructive sleep apnoea.

Project description:BackgroundOpioid use for chronic non-cancer pain (CNCP) is complex. In the absence of pan-European guidance on this issue, a position paper was commissioned by the European Pain Federation (EFIC).MethodsThe clinical practice recommendations were developed by eight scientific societies and one patient self-help organization under the coordination of EFIC. A systematic literature search in MEDLINE (up until January 2020) was performed. Two categories of guidance are given: Evidence-based recommendations (supported by evidence from systematic reviews of randomized controlled trials or of observational studies) and Good Clinical Practice (GCP) statements (supported either by indirect evidence or by case-series, case-control studies and clinical experience). The GRADE system was applied to move from evidence to recommendations. The recommendations and GCP statements were developed by a multiprofessional task force (including nursing, service users, physicians, physiotherapy and psychology) and formal multistep procedures to reach a set of consensus recommendations. The clinical practice recommendations were reviewed by five external reviewers from North America and Europe and were also posted for public comment.ResultsThe key clinical practice recommendations suggest: (a) first optimizing established non-pharmacological treatments and non-opioid analgesics and (b) considering opioid treatment if established non-pharmacological treatments or non-opioid analgesics are not effective and/or not tolerated and/or contraindicated. Evidence- and clinical consensus-based potential indications and contraindications for opioid treatment are presented. Eighteen GCP recommendations give guidance regarding clinical evaluation, as well as opioid treatment assessment, monitoring, continuation and discontinuation.ConclusionsOpioids remain a treatment option for some selected patients with CNCP under careful surveillance.SignificanceIn chronic pain, opioids are neither a universal cure nor a universally dangerous weapon. They should only be used for some selected chronic noncancer pain syndromes if established non-pharmacological and pharmacological treatment options have failed in supervised pain patients as part of a comprehensive, multi-modal, multi-disciplinary approach to treatment. In this context alone, opioid therapy can be a useful tool in achieving and maintaining an optimal level of pain control in some patients.

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Predictive factors for sleep apnoea in patients on opioids for chronic pain.

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Predictive factors for sleep apnoea in patients on opioids for chronic pain.

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