Study Design. Retrospective study. Objective. The aim of this study was to determine risk factors for prolonged opioid use and to investigate whether opioid-tolerance affects patient-reported outcomes following anterior cervical discectomy and fusion (ACDF) surgery. Summary of Background Data. There is a lack of consensus on risk factors that can affect continued opioid use after cervical spine surgery and the influence of opioid use on patient-reported outcomes. Methods. Ninety-two patients who underwent ACDF for degenerative cervical pathologies were retrospectively identified and their opioid usage before surgery was investigated using a state-sponsored prescription drug monitoring registry. Opioid-naïve and opioid tolerant groups were defined using criteria most consistent with the Federal Drug Administration (FDA) definition. Patient-reported outcomes were then collected, including the Short Form-12 (SF-12) Physical Component (PCS-12) and Mental Component (MCS-12), the Neck Disability Index (NDI), the Visual Analogue Scale Neck (VAS neck) and the Visual Analogue Scale Arm (VAS Arm) pain scores. Logistic regression was used to determine predictors for prolonged opioid use following ACDF. Univariate and multivariate analyses were conducted to compare change in outcomes over time between the two groups. Results. Logistic regression analysis demonstrated that opioid tolerance was a significant predictor for prolonged opioid use after ACDF (odds ratio [OR]: 18.2 [1.46, 226.4], P = 0.02). Duration of usage was also found to be a significant predictor for continued opioid use after surgery (OR: 1.10 [1.0, 1.03], P = 0.03). No other risk factors were found to be significant predictors. Both groups overall experienced improvements in patient-reported outcomes after surgery. Multiple linear regression analysis, controlling for patient demographics, demonstrated that opioid-tolerant user status positively affected change in outcomes over time for NDI (β = −13.7 [−21.8,−5.55], P = 0.002) and PCS-12 (β = 6.99 [2.59, 11.4], P = 0.003) but no other outcomes measured. Conclusion. Opioid tolerance was found to be a significant predictor for prolonged opioid use after ACDF. Additionally, opioid-naïve and opioid-tolerant users experienced overall improvements across PROMs following ACDF. Opioid-tolerance was associated with NDI and PCS-12 improvements over time compared to opioid-naïve users. Level of Evidence: 4
Retrospective cohort study.To assess readmission rates and risk factors for 30-day and 90-day readmission after elective lumbar decompression at a single institution.Hospital readmission is an undesirable aspect of interventional treatment. Studies evaluating readmissions after elective lumbar decompression typically analyze national databases, and therefore have several drawbacks inherent to their macroscopic nature that limit their clinical utility.Patients undergoing primary one- to four-level lumbar decompression surgery were retrospectively identified. Demographic, surgical, and readmission data within "30-days" (0-30 days) and "90-days" (31-90 days) postoperatively were extracted from electronic medical records. Patients were categorized into four groups: (1) no readmission, (2) readmission during the 30-day or 90-day postoperative period, (3) complication related to surgery, and (4) Emergency Department (ED)/Observational (OBs)/Urgent (UC) care.A total of 2635 patients were included. Seventy-six (2.9%) were readmitted at some point within the 30- (2.3%) or 90-day (0.3%) postoperative periods. Patients in the pooled readmitted group were older (63.1 yr, P < 0.001), had a higher American Society of Anesthesiologists (ASA) grade (31.2% with ASA of 3, P = 0.03), and more often had liver disease (8.1%, P = 0.004) or rheumatoid arthritis (12.0%, P = 0.02) than other cohorts. A greater proportion of 90-day readmissions and complications had surgical-related diagnoses or a diagnosis of recurrent disc herniation than 30-day readmissions and complications (66.7% vs. 44.5%, P = 0.04 and 33.3% vs. 5.5%, P < 0.001, respectively). Age (Odds ratio [OR]: 1.02, P = 0.01), current smoking status (OR: 2.38, P < 0.001), longer length of stay (OR: 1.14, P < 0.001), and a history of renal failure (OR: 2.59, P = 0.03) were independently associated with readmission or complication.Increased age, current smoking status, hospital length of stay, and a history of renal failure were found to be significant independent predictors of inpatient readmission or complication after lumbar decompression.
While complexity of distal radius fractures varies, volar plating is the most prevalent surgical option in adult injuries. The time between date of injury and surgical intervention varies according to several factors, including the timing of presentation and the surgeon's availability. This study aims to understand the impact of a delay in surgical intervention on operative time, patient-reported outcomes, and reoperation rates.A retrospective review was performed on patients treated with volar plating of distal radius fractures from 2017 to 2020 at a single institution by multiple surgeons. Perioperative medical records were reviewed. Patients were divided into 2 groups using a cut-off date of surgery performed 12 days after injury. Descriptive analyses were used to compare demographics, fracture characteristics, operative information, and outcome data including postoperative Quick Disabilities of the Arm, Shoulder, and Hand (QuickDASH) scores and reoperation rates between groups.A total of 257 patients were included. There was no difference in age, gender, smoking status, fracture type, or postoperative QuickDASH scores between groups. Patients fixed at 12 days or more after injury had a higher rate of reoperation, higher American Society of Anesthesiologists scores, and more surgeon experience.Volar distal radius fixation at 12 or more days after injury had no discernible differences with fracture type, operative time, or tourniquet time; however, a higher rate of reoperation was found in this group compared to earlier intervention. These data may provide important prognostic information that can be used to educate patients who present in a delayed fashion.
Before conducting a scientific study, a power analysis is performed to determine the sample size required to test an effect within allowable probabilities of Type I error (α) or Type II error (β). The power of a study is related to Type II error by 1-β. Most scientific studies set α=0.05 and power=0.80 as minimums. More conservative study designs will decrease α or increase power, which will require a larger sample size. The third and final parameter required for a power analysis is the effect size (ES). ES is a measure of the strength of the observation in the outcome of interest (ie, the dependent variable). ES must be estimated from pilot studies or published values. A small ES will require a larger sample size than a large ES. It is possible to detect statistically significant findings even for very small ES, if the sample size is sufficiently large. Therefore, it is also essential to evaluate whether ES is sufficiently large to be clinically meaningful.
Study Design Retrospective case series. Objective To determine risk factors associated with prolonged opioid use after lumbar fusion and to elucidate the effect of opioid use on patient-reported outcome measures (PROMs) after surgery. Methods Patients who underwent 1–3 level lumbar decompression and fusion with at least one-year follow-up were identified. Opioid data were collected through the Pennsylvania Prescription Drug Monitoring Program. Preoperative “chronic use” was defined as consumption of >90 days in the one-year before surgery. Postoperative “prolonged use” was defined as a filled prescription 90-days after surgery. PROMs included the following: Short Form-12 Health Survey PCS-12 and MCS-12, ODI, and VAS-Back and Leg scores. Logistic regression was performed to determine independent predictors for prolonged opioid use. Results The final analysis included 260 patients. BMI >35 (OR: .44 [.20, .90], P = .03) and current smoking status (OR: 2.73 [1.14, 6.96], P = .03) significantly predicted postoperative opioid usage. Chronic opioid use before surgery was associated with greater improvements in MCS-12 (β= 5.26 [1.01, 9.56], P = .02). Patients with prolonged opioid use self-reported worse VAS-Back (3.4 vs 2.1, P = .003) and VAS-Leg (2.6 vs 1.2, P = .03) scores after surgery. Prolonged opioid use was associated with decreased improvement in VAS-Leg over time (β = .14 [.15, 1.85], P = .02). Conclusions Current smoking status and lower BMI were significantly predictive of prolonged opioid use. Excess opioid use before and after surgery significantly affected PROMs after lumbar fusion.
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