Incidence and risk factors for prolonged postoperative opioid use following lumbar spine surgery: a cohort study

2021 ◽  
pp. 1-9
Author(s):  
Anshit Goyal ◽  
Stephanie Payne ◽  
Lindsey R. Sangaralingham ◽  
Molly Moore Jeffery ◽  
James M. Naessens ◽  
...  

OBJECTIVE Sustained postoperative opioid use after elective surgery is a matter of growing concern. Herein, the authors investigated incidence and predictors of long-term opioid use among patients undergoing elective lumbar spine surgery, especially as a function of opioid prescribing practices at postoperative discharge (dose in morphine milligram equivalents [MMEs] and type of opioid). METHODS The OptumLabs Data Warehouse (OLDW) was queried for postdischarge opioid prescriptions for patients undergoing elective lumbar decompression and discectomy (LDD) or posterior lumbar fusion (PLF) for degenerative spine disease. Only patients who received an opioid prescription at postoperative discharge and those who had a minimum of 180 days of insurance coverage prior to surgery and 180 days after surgery were included. Opioid-naive patients were defined as those who had no opioid fills in 180 days prior to surgery. The following patterns of long-term postoperative use were investigated: additional fills (at least one opioid fill 90–180 days after surgery), persistent fills (any span of opioid use starting in the 180 days after surgery and lasting at least 90 days), and Consortium to Study Opioid Risks and Trends (CONSORT) criteria for persistent use (episodes of opioid prescribing lasting longer than 90 days and 120 or more total days’ supply or 10 or more prescriptions in 180 days after the index fill). Multivariable logistic regression was performed to identify predictors of long-term use. RESULTS A total of 25,587 patients were included, of whom 52.7% underwent PLF (n = 13,486) and 32.5% (n = 8312) were opioid-naive prior to surgery. The rates of additional fills, persistent fills, and CONSORT use were 47%, 30%, and 23%, respectively, after PLF and 35.4%, 19%, and 14.2%, respectively, after LDD. The rates among opioid-naive patients were 18.9%, 5.6%, and 2.5% respectively, after PLF and 13.3%, 2.0%, and 0.8%, respectively, after LDD. Using multivariable logistic regression, the following were identified to be significantly associated with higher risk of long-term opioid use following PLF: discharge opioid prescription ≥ 500 MMEs, prescription of a long-acting opioid, female sex, multilevel surgery, and comorbidities such as depression and drug abuse (all p < 0.05). Elderly (age ≥ 65 years) and opioid-naive patients were found to be at lower risk (all p < 0.05). Similar results were obtained on analysis for LDD with the following significant additional risk factors identified: discharge opioid prescription ≥ 400 MMEs, prescription of tramadol alone at discharge, and inpatient surgery (all p < 0.05). CONCLUSIONS In an analysis of pharmacy claims from a national insurance database, the authors identified incidence and predictors of long-term opioid use after elective lumbar spine surgery.

2017 ◽  
Vol 27 (6) ◽  
pp. 661-669 ◽  
Author(s):  
Anthony L. Asher ◽  
Clinton J. Devin ◽  
Brandon McCutcheon ◽  
Silky Chotai ◽  
Kristin R. Archer ◽  
...  

OBJECTIVEIn this analysis the authors compare the characteristics of smokers to nonsmokers using demographic, socioeconomic, and comorbidity variables. They also investigate which of these characteristics are most strongly associated with smoking status. Finally, the authors investigate whether the association between known patient risk factors and disability outcome is differentially modified by patient smoking status for those who have undergone surgery for lumbar degeneration.METHODSA total of 7547 patients undergoing degenerative lumbar surgery were entered into a prospective multicenter registry (Quality Outcomes Database [QOD]). A retrospective analysis of the prospectively collected data was conducted. Patients were dichotomized as smokers (current smokers) and nonsmokers. Multivariable logistic regression analysis fitted for patient smoking status and subsequent measurement of variable importance was performed to identify the strongest patient characteristics associated with smoking status. Multivariable linear regression models fitted for 12-month Oswestry Disability Index (ODI) scores in subsets of smokers and nonsmokers was performed to investigate whether differential effects of risk factors by smoking status might be present.RESULTSIn total, 18% (n = 1365) of patients were smokers and 82% (n = 6182) were nonsmokers. In a multivariable logistic regression analysis, the factors significantly associated with patients’ smoking status were sex (p < 0.0001), age (p < 0.0001), body mass index (p < 0.0001), educational status (p < 0.0001), insurance status (p < 0.001), and employment/occupation (p = 0.0024). Patients with diabetes had lowers odds of being a smoker (p = 0.0008), while patients with coronary artery disease had greater odds of being a smoker (p = 0.044). Patients’ propensity for smoking was also significantly associated with higher American Society of Anesthesiologists (ASA) class (p < 0.0001), anterior-alone surgical approach (p = 0.018), greater number of levels (p = 0.0246), decompression only (p = 0.0001), and higher baseline ODI score (p < 0.0001). In a multivariable proportional odds logistic regression model, the adjusted odds ratio of risk factors and direction of improvement in 12-month ODI scores remained similar between the subsets of smokers and nonsmokers.CONCLUSIONSUsing a large, national, multiinstitutional registry, the authors described the profile of patients who undergo lumbar spine surgery and its association with their smoking status. Compared with nonsmokers, smokers were younger, male, nondiabetic, nonobese patients presenting with leg pain more so than back pain, with higher ASA classes, higher disability, less education, more likely to be unemployed, and with Medicaid/uninsured insurance status. Smoking status did not affect the association between these risk factors and 12-month ODI outcome, suggesting that interventions for modifiable risk factors are equally efficacious between smokers and nonsmokers.


Spine ◽  
2013 ◽  
Vol 38 (20) ◽  
pp. 1790-1796 ◽  
Author(s):  
Steven J. Fineberg ◽  
Sreeharsha V. Nandyala ◽  
Alejandro Marquez-Lara ◽  
Matthew Oglesby ◽  
Alpesh A. Patel ◽  
...  

Heart ◽  
2020 ◽  
Vol 107 (2) ◽  
pp. 135-141 ◽  
Author(s):  
Jung Ho Kim ◽  
Hi Jae Lee ◽  
Nam Su Ku ◽  
Seung Hyun Lee ◽  
Sak Lee ◽  
...  

ObjectiveThe treatment of infective endocarditis (IE) has become more complex with the current myriad healthcare-associated factors and the regional differences in causative organisms. We aimed to investigate the overall trends, microbiological features, and outcomes of IE in South Korea.MethodsA 12-year retrospective cohort study was performed. Poisson regression was used to estimate the time trends of IE incidence and mortality rate. Risk factors for in-hospital mortality were identified with multivariable logistic regression, and model comparison was performed to evaluate the predictive performance of notable risk factors. Kaplan-Meier survival analysis and Cox regression were performed to assess long-term prognosis.ResultsWe included 419 patients with IE, the incidence of which showed an increasing trend (relative risk 1.06, p=0.005), whereas mortality demonstrated a decreasing trend (incidence rate ratio 0.93, p=0.020). The in-hospital mortality rate was 14.6%. On multivariable logistic regression analysis, aortic valve endocarditis (OR 3.18, p=0.001), IE caused by Staphylococcus aureus (OR 2.32, p=0.026), neurological complications (OR 1.98, p=0.031), high Sequential Organ Failure Assessment score (OR 1.22, p=0.023) and high Charlson Comorbidity Index (OR 1.11, p=0.019) were predictors of in-hospital mortality. Surgical intervention for IE was a protective factor against in-hospital mortality (OR 0.25, p<0.001) and was associated with improved long-term prognosis compared with medical treatment only (p<0.001).ConclusionsThe incidence of IE is increasing in South Korea. Although the mortality rate has slightly decreased, it remains high. Surgery has a protective effect with respect to both in-hospital mortality and long-term prognosis in patients with IE.


2015 ◽  
Vol 84 (6) ◽  
pp. 2010-2021 ◽  
Author(s):  
Amy Li ◽  
Christian Swinney ◽  
Anand Veeravagu ◽  
Inderpreet Bhatti ◽  
John Ratliff

2013 ◽  
Vol 28 (2) ◽  
pp. 161-166 ◽  
Author(s):  
Fenghua Li ◽  
Reza Gorji ◽  
Richard Tallarico ◽  
Charles Dodds ◽  
Katharina Modes ◽  
...  

Author(s):  
O Ayling ◽  
C FIsher

Background: Peri-operative adverse events (AE) lead to patient disappointment and greater costs. There is a paucity of data on how AEs affect long-term outcomes. The purpose of this study is to examine peri-operative AEs and their impact on outcome after lumbar spine surgery. Methods: 3556 consecutive patients undergoing surgery for lumbar degenerative disorders enrolled in the Canadian Spine Outcomes and Research Network were analyzed. AEs were defined using the validated Spine AdVerse Events Severity system. Outcomes at 3,12, and 24 months post-operatively included the Owestry Disability Index (ODI), SF-12 Physical (PCS) and Mental (MCS) scales, visual analog scale (VAS) leg and back, Euroqol-5D (EQ5D), and satisfaction. Results: Adverse events occurred in 767 (21.6%) patients, 85 (2.4%) suffered major AEs. Patients with major AEs had worse OD (physical disability) scores and did not reach minimum clinically important differences at 2 years (no AE 25.7±19.2, major: 36.4±19.1, p<0.001). Major AEs were associated with worse ODI (physical disability) scores on multivariable linear regression (p=0.011). Conclusions: Major AEs after lumbar spine surgery lead to worse functional outcomes and lower satisfaction. This highlights the need to implement strategies aimed at reducing adverse events.


Medicine ◽  
2020 ◽  
Vol 99 (47) ◽  
pp. e23162
Author(s):  
Frank M. Mezzacappa ◽  
Kyle P. Schmidt ◽  
Steven O. Tenny ◽  
Kaeli K. Samson ◽  
Sandeep K. Agrawal ◽  
...  

2021 ◽  
Vol 34 (1) ◽  
pp. 89-95
Author(s):  
Marcel R. Wiley ◽  
Leah Y. Carreon ◽  
Mladen Djurasovic ◽  
Steven D. Glassman ◽  
Yehia H. Khalil ◽  
...  

OBJECTIVEIn the future, payers may not cover unplanned 90-day emergency room (ER) visits or readmissions after elective lumbar spine surgery. Prior studies using large administrative databases lack granularity and/or use a proxy for actual cost. The purpose of this study was to identify risk factors and subsequent costs associated with 90-day ER visits and readmissions after elective lumbar spine surgery.METHODSA prospective, multisurgeon, single-center electronic medical record was queried for elective lumbar spine fusion surgeries from 2013 to 2017. Predictive models were created for 90-day ER visits and readmissions.RESULTSOf 5444 patients, 729 (13%) returned to the ER, most often for pain (n = 213, 29%). Predictors of an ER visit were prior ER visit (OR 2.5), underserved zip code (OR 1.4), and number of chronic medical conditions (OR 1.4). In total, 421 (8%) patients were readmitted, most frequently for wound infection (n = 123, 2%), exacerbation of chronic obstructive pulmonary disease (n = 24, 0.4%), and sepsis (n = 23, 0.4%). Predictors for readmission were prior ER visit (OR 1.96), multiple chronic conditions (OR 1.69), obesity (nonobese, OR 0.49), race (African American, OR 1.43), admission status (ER admission, OR 2.29), and elevated hemoglobin A1c (OR 1.80). The mean direct hospital cost for an ER visit was $1971, with 75% of visits costing less than $1890, and the average readmission cost was $7347, with 75% of readmissions costing less than $8820. Over the 5-year study period, the cost to the institution for 90-day return ER visits was $5.1 million.CONCLUSIONSRisk factors for 90-day ER visit and readmission after elective lumbar spine surgery include medical comorbidities and socioeconomic factors. Proper patient counseling, appropriate postoperative pain management, and optimization of modifiable risk factors prior to surgery are areas to focus future efforts to lower 90-day ER visits and readmissions and reduce healthcare costs.


2019 ◽  
Vol 90 (3) ◽  
pp. e45.1-e45
Author(s):  
M El Sheikh ◽  
K Badran ◽  
O Kouli ◽  
M Abdelsadg ◽  
M Fadelalla ◽  
...  

ObjectivesRecurrent lumbar spine surgery due to disc herniation is a contributor to debilitating pain, disability, and carries a high patient morbidity rate1 We identified risk factors for recurrent lumbar disc herniation post-surgical intervention.DesignRetrospective Cohort Study.SubjectsAll adult lumbar spine revisions for disc herniation performed in the Neurosurgical Department at Ninewells Hospital.MethodsThe number of revisions from 2013 to 2017 for each patient was recorded and two groups were identified. The first group consisted of patients who had one revision and the second group consisted of patients who had recurrent revisions (more than one) Possible factors influencing the likelihood of recurrent revisions were also noted, including age, gender, BMI, operation length, level of surgery, time from primary surgery to revision, smoking and diabetes status.Results140 patients had revision surgeries, of which 87 (62.1%) had one revision while 53 (37.1%) had recurrent operations. Younger patients (p=0.025) and patients with higher BMI (p=0.01) were more likely to have a higher number of revisions. Patients with DM (p=0.015) were associated with a higher likelihood of recurrent revisions. Other factors had little effect on the likelihood of recurrent revisions (p>0.05).ConclusionsIdentifying risk factors that influence the recurrence of lumbar revisions helps improve patient outcome and decrease incidence of revisions.


2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Joseph A. Weiner ◽  
Joseph E. Snavely ◽  
Daniel J. Johnson ◽  
Wellington K. Hsu ◽  
Alpesh A. Patel

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