首页> 外文期刊>BMC Family Practice >How do contraindications to non-opioid analgesics and opioids affect the likelihood that patients with back pain diagnoses in the primary care setting receive an opioid prescription? An observational cross-sectional study
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How do contraindications to non-opioid analgesics and opioids affect the likelihood that patients with back pain diagnoses in the primary care setting receive an opioid prescription? An observational cross-sectional study

机译:非阿片类药物和阿片类药物的禁忌症是如何影响初级保健环境中背痛诊断的可能性接受阿片类药物处方? 观察横截面研究

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Given the risks of opioids, clinicians are under growing pressure to treat pain with non-opioid medications. Yet non-opioid analgesics such as non-steroidal anti-inflammatory drugs (NSAIDs) have their own risks: patients with kidney disease or gastrointestinal diseases can experience serious adverse events. We examined the likelihood that patients with back pain diagnoses and contraindications to NSAIDs and opioids received an opioid prescription in primary care. We identified office visits for back pain from 2012 to 2017 and sampled the first office visit per patient per year (N?=?24,543 visits). We created indicators reflecting contraindications for NSAIDs (kidney, liver, cardiovascular/cerebrovascular, and gastrointestinal diseases; concurrent or chronic use of anticoagulants/antiplatelets, chronic corticosteroid use) and opioids (depression, anxiety, substance use (SUD) and bipolar disorders, and concurrent benzodiazepines) and estimated four logistic regression models, with the one model including all patient visits and models 2–4 stratifying for previous opioid use. We estimated the population attributable risk for each contraindication. In our model with all patients-visits, patients received an opioid prescription at 4% of visits. The predicted probability (PP) of receiving an opioid was 4% without kidney disease vs. 7% with kidney disease; marginal effect (ME): 3%; 95%CI: 1–4%). For chronic or concurrent anticoagulant/antiplatelet prescriptions, the PPs were 4% vs. 6% (ME: 2%; 95%CI: 1–3%). For concurrent benzodiazepines, the PPs were 4% vs. 11% (ME: 7%, 95%CI: 5–9%) and for SUD, the PPs were 4% vs. 5% (ME: 1%, 95%CI: 0–3%). For the model including patients with previous long-term opioid use, the PPs for concurrent benzodiazepines were 25% vs. 24% (ME: -1%; 95%CI: ??18-16%). The population attributable risk (PAR) for NSAID and opioid contraindications was small. For kidney disease, the PAR was 0.16% (95%CI: 0.08–0.23%), 0.44% (95%CI: 0.30–0.58%) for anticoagulants and antiplatelets, 0.13% for substance use (95%CI: 0.03–0.22%) and 0.20% for concurrent benzodiazepine use (95%CI: 0.13–0.26%). Patients with diagnoses of kidney disease and concurrent use of anticoagulants/antiplatelet medications had a higher probability of receiving an opioid prescription at a primary care visit for low back pain, but these conditions do not explain a large proportion of the opioid prescriptions.
机译:鉴于阿片类药的风险,临床医生受到不肥大的压力,以治疗非阿片类药物的疼痛。然而,非阿片类药物镇痛药,如非甾体类抗炎药(NSAIDs)有自己的风险:肾病或胃肠疾病的患者可能会经历严重的不良事件。我们研究了对NSAIDS和阿片类药物对NSAIDs和ApioID的患者的可能性在初级保健中获得了阿片类药物处方。我们确定了从2012年到2017年的背部疼痛的办公室访问,并每年患者排斥第一个办公室访问(N?= 24,543次访问)。我们创建了反映NSAIDs(肾脏,肝脏,心血管/脑血管和胃肠疾病的禁忌症的指标;并发或慢性使用抗凝血剂/抗凝血物,慢性皮质类固醇使用)和阿片类药物(抑郁,焦虑,物质(SUD)和双相障碍,以及并发苯并二氮卓类)和估计的四种逻辑回归模型,其中一个模型包括所有患者访问和模型2-4分层以用于先前的阿片类药物。我们估计每种禁忌症的人口应占状风险。在我们与所有患者的模型中,患者接受了4%的患者的阿片类药物。接受阿片类药物的预测概率(PP)为4%,没有肾病与肾脏疾病的7%;边缘效应(ME):3%; 95%CI:1-4%)。对于慢性或同时的抗凝血剂/抗血小板处方,PPS为4%vs.6%(ME:2%; 95%CI:1-3%)。对于并发苯二氮氧基己,PPS为4%对11%(ME:7%,95%:5-9%)和抑菌,PPS为4%,5%(ME:1%,95%CI) :0-3%)。对于包括先前长期阿片类药物使用的患者的模型,同时苯二氮藻的PPS为25%,对24%(ME:-1%; 95%CI:?? 18-16%)。 NSAID和阿片类药物禁忌症的人口占状风险(PAR)很小。对于肾脏疾病,抗凝剂和抗凝血剂的肾病均为0.16%(95%CI:0.08-0.23%),0.44%(95%CI:0.30-0.58%),物质使用0.13%(95%CI:0.03-0.22 %)和0.20%用于同时苯二氮卓使用(95%CI:0.13-0.26%)。肾脏疾病诊断的患者及同时使用抗凝血剂/抗血小板药物在初级保健访问中接受阿片类药物的概率较高,但这些条件不会解释一大部分阿片类药物处方。

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