Dataset Information

Incidence of and Risk Factors for Chronic Opioid Use Among Opioid-Naive Patients in the Postoperative Period.

ABSTRACT:

Importance

Chronic opioid use imposes a substantial burden in terms of morbidity and economic costs. Whether opioid-naive patients undergoing surgery are at increased risk for chronic opioid use is unknown, as are the potential risk factors for chronic opioid use following surgery.

Objective

To characterize the risk of chronic opioid use among opioid-naive patients following 1 of 11 surgical procedures compared with nonsurgical patients.

Design, setting, and participants

Retrospective analysis of administrative health claims to determine the association between chronic opioid use and surgery among privately insured patients between January 1, 2001, and December 31, 2013. The data concluded 11 surgical procedures (total knee arthroplasty [TKA], total hip arthroplasty, laparoscopic cholecystectomy, open cholecystectomy, laparoscopic appendectomy, open appendectomy, cesarean delivery, functional endoscopic sinus surgery [FESS], cataract surgery, transurethral prostate resection [TURP], and simple mastectomy). Multivariable logistic regression analysis was performed to control for possible confounders, including sex, age, preoperative history of depression, psychosis, drug or alcohol abuse, and preoperatice use of benzodiazepines, antipsychotics, and antidepressants.

Exposures

One of the 11 study surgical procedures.

Main outcomes and measures

Chronic opioid use, defined as having filled 10 or more prescriptions or more than 120 days' supply of an opioid in the first year after surgery, excluding the first 90 postoperative days. For nonsurgical patients, chronic opioid use was defined as having filled 10 or more prescriptions or more than 120 days' supply following a randomly assigned "surgery date."

Results

The study included 641 941 opioid-naive surgical patients (169 666 men; mean [SD] age, 44.0 [12.8] years), and 18 011 137 opioid-naive nonsurgical patients (8 849 107 men; mean [SD] age, 42.4 [12.6] years). Among the surgical patients, the incidence of chronic opioid in the first preoperative year ranged from 0.119% for Cesarean delivery (95% CI, 0.104%-0.134%) to 1.41% for TKA (95% CI, 1.29%-1.53%) The baseline incidence of chronic opioid use among the nonsurgical patients was 0.136% (95% CI, 0.134%-0.137%). Except for cataract surgery, laparoscopic appendectomy, FESS, and TURP, all of the surgical procedures were associated with an increased risk of chronic opioid use, with odds ratios ranging from 1.28 (95% CI, 1.12-1.46) for cesarean delivery to 5.10 (95% CI, 4.67-5.58) for TKA. Male sex, age older than 50 years, and preoperative history of drug abuse, alcohol abuse, depression, benzodiazepine use, or antidepressant use were associated with chronic opioid use among surgical patients.

Conclusions and relevance

In opioid-naive patients, many surgical procedures are associated with an increased risk of chronic opioid use in the postoperative period. A certain subset of patients (eg, men, elderly patients) may be particularly vulnerable.

SUBMITTER: Sun EC

PROVIDER: S-EPMC6684468 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:PurposeTo determine the rate and risk factors for new persistent opioid use after ophthalmic surgery in the United States.DesignRetrospective claims-based cohort analysis.ParticipantsOpioid-naive patients 13 years of age and older who underwent incisional ophthalmic surgery between January 1, 2012, and June 30, 2017, and were included in Optum's de-identified Clinformatics Data Mart database.MethodsNew persistent opioid use was defined as filling an opioid prescription in the 90-day and the 91- to 180-day periods after the surgical procedure. The outcome variable was an initial perioperative opioid prescription fill. Rates of new persistent opioid use were calculated, and multivariate logistic regression models were used to identify variables increasing the risk of new persistent use and refill of an opioid prescription after the initial perioperative prescription in first 30 days.Main outcome measuresNew persistent opioid use and refill.ResultsA total of 327 379 opioid-naive patients (mean age, 67 years [standard deviation, 16 years]; 178 067 women [54.4%]) who underwent ophthalmic surgery were examined. Among these patients, 14 841 (4.5%) had an initial perioperative opioid fill. The rate of new persistent opioid use was 3.4% (498 of 14 841 patients) compared with 0.6% (1833 of 312 538 patients) in patients who did not have an initial perioperative opioid fill. After adjusting for patient characteristics, initial perioperative opioid fill was associated independently with increased odds of new persistent use (adjusted odds ratio [OR], 6.21; 95% confidence interval [CI], 5.57-6.91; P < 0.001). Among patients who had filled an initial perioperative prescription, a prescription size of 150 morphine milligram equivalents or more was associated with an increased odds of refill (adjusted OR, 1.87; 95% CI, 1.58-2.22; P < 0.001).ConclusionsExposure to opioids in the perioperative period is associated with new persistent use in patients who were previously opioid-naive. This suggests that exposure to opioids is an independent risk factor for persistent use in patients undergoing incisional ophthalmic surgery. Surgeons should be aware of those risks to identify at-risk patients given the current national opioid crisis and to minimize prescribing opioids when possible.

Project description:BackgroundChronic opioid use is a significant public health concern. Surgery is a risk factor for developing chronic opioid use. Patients undergoing major spine surgery frequently are prescribed opioids preoperatively and may be at risk for chronic opioid use postoperatively. The aim of this study was to investigate the incidence of and perioperative risk factors associated with chronic opioid use after major spine surgery.MethodsThe records of patients who underwent elective major spine surgery at the University of Virginia between March 2011 and February 2016 were retrospectively reviewed. The primary outcome was chronic opioid use through 12 months postoperatively. Demographic data, medical comorbidities, preoperative pain scores, and medication use including daily morphine-equivalent (ME) dose, intraoperative use of lidocaine and ketamine, estimated blood loss, postoperative pain scores and medication use, and postoperative opioid use were collected. Logistic regression models were used to examine factors associated with chronic opioid use.ResultsOf 1477 patient records reviewed, 412 patients (27.9%) were opioid naive and 1065 patients (72.3%) used opioids before surgery. Opioid data were available for 1325 patients, while 152 patients were lost to 12-month follow-up and were excluded. Of 958 preoperative opioid users, 498 (52.0%) remained chronic users through 12 months. There was a decrease in opioid dosage (mg ME) from preoperative to 12 months postoperatively with a mean difference of -14.7 mg ME (standard deviation, 1.57; 95% confidence interval [CI], -17.8 to -11.7). Among 367 previously opioid-naive patients, 67 (18.3%) became chronic opioid users. Factors associated with chronic opioid use were examined using logistic regression models. Preoperative opioid users were nearly 4 times more likely to be chronic opioid users through 12 months than were opioid-naive patients (odds ratio, 3.95; 95% CI, 2.51-6.33; P < .001). Mean postoperative pain score (0-10) was associated with increased odds of chronic opioid use (odds ratio for a 1 unit increase in pain score 1.25, 95% CI, 1.13-1.38; P < .001). Use of intravenous ketamine or lidocaine was not associated with chronic opioid use through 12 months.ConclusionsGreater than 70% of patients presenting for major spine surgery used opioids preoperatively. Preoperative opioid use and higher postoperative pain scores were associated with chronic opioid use through 12 months. Use of ketamine and lidocaine did not decrease the risk for chronic opioid use. Surveillance of patients for these factors may identify those at highest risk for chronic opioid use and target them for intervention and reduction strategies.

Project description:ImportanceRisk of long-term opioid use among patients with hidradenitis suppurativa (HS), who experience pain that substantially impairs quality of life, is unknown to date.ObjectiveTo compare overall and subgroup incidence of long-term opioid use in a population of opioid-naive patients with HS and control patients.Design, setting, and participantsThis retrospective cohort study was based on a demographically heterogeneous population-based sample of more than 56 million unique patients from January 1, 2008, through December 10, 2018. Patients with HS (n = 22 277) and controls (n = 828 832) were identified using electronic health records data. Data were analyzed from December 13, 2018, through January 28, 2019.Main outcomes and measuresThe primary outcome was incident long-term opioid use.ResultsAmong the 22 277 patients with HS, mean (SD) age was 40.8 (14.6) years, 16 912 (75.9%) were women, and 13 190 (59.2%) were white. Crude 1-year incidence of long-term opioid use among opioid-naive patients with HS was 0.33% (74 of 22 277), compared with 0.14% (1168 of 828 832) among controls (P < .001). In adjusted analysis, patients with HS had 1.53 (95% CI, 1.20-1.95; P < .001) times the odds of new long-term opioid use compared with controls. Among patients with HS, advancing age (odds ratio [OR], 1.02 per 1-year increase; 95% CI, 1.00-1.03; P = .05), ever smoking (OR, 3.64; 95% CI, 2.06-6.41; P < .001), history of depression (OR, 1.97; 95% CI, 1.21-3.19; P = .006), and baseline Charlson comorbidity index score (OR, 1.15 per 1-point increase; 95% CI, 1.03-1.29; P = .01) were associated with higher odds of long-term opioid use. Among patients with HS and long-term opioid use, 4 of 74 (5.4%) were diagnosed with opioid use disorder during the study period. The most frequent schedule II opioid prescriptions included oxycodone hydrochloride (55 of 74 patients [74.3%]), hydrocodone bitartrate (44 [59.5%]), hydromorphone hydrochloride (16 [21.6%]), morphine sulfate (13 [17.6%]), and fentanyl citrate (6 [8.1%]). Tramadol hydrochloride (32 [43.2%]) represented the most frequent non-schedule II prescription. Disciplines prescribing the most opioids to patients with HS included primary care (398 [72.8%]), anesthesiology/pain management (48 [8.8%]), gastroenterology (25 [4.6%]), surgery (23 [4.2%]), and emergency medicine (10 [1.8%]).Conclusions and relevanceIn this study, patients with HS were at higher risk for long-term opioid use. These results suggest that periodic assessment of pain and screening for long-term opioid use may be warranted, particularly among patients who are older, who smoke tobacco, or who have depression and other medical comorbidities.

Project description:BackgroundLong-term opioid use has negative health care consequences. Opioid-naïve adults are at risk for prolonged and persistent opioid use after surgery. While these outcomes have been examined in some adolescent and teenage populations, little is known about the risk of prolonged and persistent postoperative opioid use after common surgeries compared to children who do not undergo surgery and factors associated with these issues among pediatric surgical patients of all ages.MethodsUsing a national administrative claims database, we identified 175,878 surgical visits by opioid-naïve children aged ≤18 years who underwent ≥1 of the 20 most common surgeries from each of 4 age groups between December 31, 2002, and December 30, 2017, and who filled a perioperative opioid prescription 30 days before to 14 days after surgery. Prolonged opioid use after surgery (filling ≥1 opioid prescription 90-180 days after surgery) was compared to a reference sample of 1,354,909 nonsurgical patients randomly assigned a false "surgery" date. Multivariable logistic regression models were used to estimate the association of surgical procedures and 22 other variables of interest with prolonged opioid use and persistent postoperative opioid use (filling ≥60 days' supply of opioids 90-365 days after surgery) for each age group.ResultsProlonged opioid use after surgery occurred in 0.77%, 0.76%, 1.00%, and 3.80% of surgical patients ages 0-<2, 2-<6, 6-<12, and 12-18, respectively. It was significantly more common in surgical patients than in nonsurgical patients (ages 0-<2: odds ratio [OR] = 4.6 [95% confidence interval (CI), 3.7-5.6]; ages 2-<6: OR = 2.5 [95% CI, 2.1-2.8]; ages 6-<12: OR = 2.1 [95% CI, 1.9-2.4]; and ages 12-18: OR = 1.8 [95% CI, 1.7-1.9]). In the multivariable models for ages 0-<12 years, few surgical procedures and none of the other variables of interest were associated with prolonged opioid use. In the models for ages 12-18 years, 10 surgical procedures and 5 other variables of interest were associated with prolonged opioid use. Persistent postoperative opioid use occurred in <0.1% of patients in all age groups.ConclusionsSome patient characteristics and surgeries are positively and negatively associated with prolonged opioid use in opioid-naïve children of all ages, but persistent opioid use is rare. Specific pediatric subpopulations (eg, older patients with a history of mood/personality disorder or chronic pain) may be at markedly higher risk.

Project description:BACKGROUND:A common postoperative complication found among patients who are critically ill is delirium, which has a high mortality rate. A predictive model is needed to identify high-risk patients in order to apply strategies which will prevent and/or reduce adverse outcomes. OBJECTIVES:To identify the incidence of, and the risk factors for, postoperative delirium (POD) in surgical intensive care unit (SICU) patients, and to determine predictive scores for the development of POD. METHODS:This study enrolled adults aged over 18 years who had undergone an operation within the preceding week and who had been admitted to a SICU for a period that was expected to be longer than 24 h. The CAM - ICU score was used to determine the occurrence of delirium. RESULTS:Of the 250 patients enrolled, delirium was found in 61 (24.4%). The independent risk factors for delirium that were identified by a multivariate analysis comprised age, diabetes mellitus, severity of disease (SOFA score), perioperative use of benzodiazepine, and mechanical ventilation. A predictive score (age + (5 × SOFA) + (15 × Benzodiazepine use) + (20 × DM) + (20 × mechanical ventilation) + (20 × modified IQCODE > 3.42)) was created. The area under the receiver operating characteristic (ROC) curve (AUC) was 0.84 (95% CI: 0.786 to 0.897). The cut point of 125 demonstrated a sensitivity of 72.13% and a specificity of 80.95%, and the hospital mortality rate was significantly greater among the delirious than the non-delirious patients (25% vs. 6%, p < 0.01). CONCLUSIONS:POD was experienced postoperatively by a quarter of the surgical patients who were critically ill. A risk score utilizing 6 variables was able to predict which patients would develop POD. The identification of high-risk patients following SICU admission can provide a basis for intervention strategies to improve outcomes. TRIAL REGISTRATION:Thai Clinical Trials Registry TCTR20181204006 . Date registered on December 4, 2018. Retrospectively registered.