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Objective: To examine if perioperative blood transfusion affects overall survival (OS) and recurrence-free survival (RFS) in head and neck cancer patients who undergo free tissue reconstruction. Design: Retrospective cohort study. Methods: The medical records of free tissue flaps between 2007 and 2010 were reviewed. Differences in demographics and clinical factors based on the level of transfused packed red blood cells (PRBC) were examined using chi-squared tests, Kruskal-Wallis tests, and/or ANOVA tests. Survival time was compared using a Cox proportional hazard model. Results: Data were available for 183 patients. Patients who had PRBC transfusion significantly differed from the non-transfused group by flap type, flap with bone, Charlson Comorbidity Index (CCI), and hemoglobin and hematocrit. When stratified into three groups based on units of PRBC; flap type, flap with bone, CCI, preoperative hemoglobin, and hematocrit were found to differ significantly. The 2-year Kaplan-Meier plot demonstrated improved OS for those who did not receive any PRBC transfusion. The use of more than 3 units of blood decreased 2-year OS significantly when compared to the non-transfused group. Finally, after adjusting for CCI using a Cox proportional hazard model, survival was significantly affected by CCI. Conclusion: After controlling for patient age, oncologic stage, cancer subsite, histology, type of free flap, vascularized bone-containing flap, recurrence type, CCI, and preoperative hemoglobin and hematocrit, patients who received 3 or more units of PRBC in the perioperative period had significantly decreased OS. RFS did not differ between the transfused versus non-transfused groups. Level of Evidence: Level 4.
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PURPOSE: To evaluate the impact of either Medicaid or private insurance on securing an appointment in an outpatient orthopaedic clinic and to determine waiting periods until an appointment as well as the relationship between population metrics and access to care. METHODS: A total of 88 clinics were called. There were 2 fictitious patients, one with an anterior cruciate ligament (ACL) injury and the other with a medial meniscus injury, with each calling as having Medicaid or private insurance. Clinic responses were recorded for whether an appointment could be made, when it was scheduled, and with what provider. RESULTS: A total of 32 of 88 (36.4%) of the clinics scheduled an appointment for the Medicaid patient reporting an ACL injury versus 71 of 88 (80.6%) of the clinics that scheduled an appointment for the same patient with private insurance. A total of 34 of 88 (38.6%) of the clinics scheduled an appointment for the Medicaid patient reporting a medial meniscus injury versus 71 of 88 (80.6%) of the clinics that scheduled an appointment for the same patient with private insurance. Mean waiting period for ACL patients with Medicaid was 8.6 days and 4.5 days for patients with private insurance, whereas medial meniscus patients with Medicaid was 7.7 days and 5.4 days for patients with private insurance. In total, 60 of the 66 (90.9%) patients with Medicaid who received an appointment were scheduled to see the orthopaedic surgeon (30 in both ACL and medial meniscus groups). In total, 126 (71.6%) patients with Medicaid and 34 (19.3%) patients with private insurance of the 176 encounters faced barriers to scheduling an appointment. Rural communities were associated with appointment acceptance for patients with Medicaid (P < .05), and patients with private insurance had successful appointment scheduling in all community types (P < .05). CONCLUSIONS: This study suggests that patients with Medicaid are less likely to receive orthopaedic care for multiple sports medicine injuries, are more likely to encounter barriers, and endure longer waiting periods. There are different patterns of insurance acceptance according to population metrics. CLINICAL RELEVANCE: Serves as a baseline evaluation of the difference in access to health care that may be impacted by increases in Medicaid coverage and/or changes in government policies.
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BACKGROUND: The state of Ohio implemented legislation in August of 2017 limiting the quantity of opioids a provider could prescribe. The purpose of this study was to identify if implementation of legislation affected opioid and nonopioid utilization in patients operatively treated for ankle fractures in the initial 90-day postoperative period after controlling for injury severity and preoperative narcotic usage. METHODS: A retrospective review of 144 patients treated for isolated ankle fractures in a pre-law group (January 2017-July 2017; n = 73) and post-law group (January 2018-July 2018; n = 71) was completed using electronic medical records and a legal prescriber database. Total number of opioid prescriptions, pills, milligrams of morphine equivalents (MMEs), and nonopioid prescriptions were recorded. Multiple regression analysis was run to identify predictors of opioid prescribing after controlling for law group, demographic, preoperative narcotic use, and injury severity characteristics. RESULTS: Mean MME prescribed per patient significantly decreased from 817.2 MME pre-law to 380.9 post-law (P < .01). Mean number of opioid pills prescribed per patient decreased from 99.1 in the pre-law group and 55.3 in the post law group (P < .001), respectively. Multiple linear regression analysis to predict the mean number of opioid pills prescribed was statistically significant (R 2 = 0.33; P < .001), with law group adding significantly to the prediction (P < .001). The multiple linear regression analysis to predict MME per patient was found to be statistically significant (R 2 = 0.31; P < .001), with the law group contributing significantly (P < .001). CONCLUSION: The Ohio prescriber law successfully contributed to the decreased number of opioid pills and MME prescribed in the initial 90-day postoperative period after controlling for injury severity and preoperative narcotic usage. Policies on opioid prescriptions may serve as an important public health tool in the fight against the opioid epidemic. LEVEL OF EVIDENCE: Level III, retrospective comparative series.
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Objective Home oximetry is commonly used to screen for obstructive sleep apnea (OSA) in children; however, normal oxygen desaturation levels by disease severity are not well known. It was our objective to determine if oxygen saturation levels differed by OSA severity category in children and if these differences were similar for preteen children and adolescents. Study Design Retrospective case series of children undergoing polysomnography from September 2011 to July 2015. Setting Tertiary pediatric hospital. Subjects and Methods Six- to 18-year-olds (preteen, 6-12 years old; adolescent, 13-18 years old). Chi-square, Wilcoxon rank sum test, and Kruskal-Wallis testing were used to compare variables between age groups. Results The study included 342 children with a mean age of 11.3 ± 2.4 years (range, 6.5-17.5) and a mean body mass index of 25.6 ± 9.2 kg/m2 (78 ± 29 percentile); 61% were white, 35% were black, and 4% were other or unknown. Of the children, 48% were female, and this was not a significant difference between age groups ( P = .81). Overall, 50% of the children had no OSA, 32% mild, 10% moderate, and 8% severe. When compared with the younger children, the adolescents had a longer sleep time ( P = .014) and a higher mean obstructive apnea-hypopnea index (3.53 ± 5.1 vs 3.03 ± 6.1 events per hour, P = .02). The 3% and 4% oxygen desaturation indices were not significantly different between age groups when accounting for OSA severity. Conclusion Adolescents have longer sleep times and higher obstructive apnea-hypopnea indexes than preteens, but oxygen saturations and desaturation indices were similar. This supports current triage algorithms for children with OSA, as we found no significant age-based differences.
