RESUMO
PURPOSE: To identify a cohort of isolated medial tibial plateau fractures treated with surgical fixation and to categorize them by Moore and Wahlquist classifications in order to determine the rate of complications with each fracture morphology and the predictive value of each classification system. We hypothesized there would be high rates of neurovascular injury, compartment syndrome, and complications overall with a higher incidence of neurovascular injury in Moore type III rim avulsion fractures and Wahlquist type C fractures that enter the plateau lateral to the tibial spines. METHODS: Patients who presented to six Level I trauma centers between 2010 and 2021 who underwent surgical fixation for isolated medial tibial plateau fractures were retrospectively reviewed. Data including demographics, radiographs, complications, and functional outcomes were collected. RESULTS: One hundred and fifty isolated medial tibial plateau fractures were included. All patients were classified by the Wahlquist classification of medial tibial plateau fractures, and 139 patients were classifiable by the Moore classification of tibial plateau fracture-dislocations. Nine percent of fractures presented with neurovascular injury: 5 % with isolated vascular injury and 6 % with isolated nerve injury. There were no significant differences in neurovascular injury by fracture type (Wahlquist p = 0.16, Moore p = 0.33). Compartment syndrome developed in two patients (1.3 %). The average final range of motion was 0.8-122° with no difference by Wahlquist or Moore classifications (p = 0.11, p = 0.52). The overall complication rate was 32 % without differences by fracture morphology. The overall rate of return to the operating room (OR) was 25 %. CONCLUSIONS: Isolated medial tibial plateau fractures often represent fracture-dislocations of the knee and should receive a meticulous neurovascular exam on presentation with a high suspicion for neurovascular injury. No specific fracture pattern was found to be predictive of neurovascular injuries, complications, or final knee range of motion. Patients should be counseled pre-operatively regarding high rates of return to the OR after the index surgery.
RESUMO
PURPOSE: Surprise out-of-network (OON) bills can represent a considerable cost burden on patients. However, OON billing remains underexplored in elective, outpatient surgery procedures, which have greater latitude for patient choice. We aimed to answer the following questions: (1) What is the prevalence and magnitude of OON charges in hand surgery? (2) What are the sources of OON charges? and (3) What factors are associated with OON charges? METHODS: We analyzed patient-level data from the Clinformatics Data Mart database. We identified patients undergoing carpal tunnel release, trigger finger release, wrist ganglion removal, de Quervain release, limited palmar fasciectomy, or thumb carpometacarpal arthroplasty at in-network facilities with an in-network primary surgeon. The primary outcome was the proportion of surgical episodes with at least 1 OON charge. Secondary outcomes included the magnitude of potential balance bills (portion of OON bill exclusive of the standardized payment and expected patient cost-sharing), sources of OON charges, and factors associated with OON charges. RESULTS: Of 112,211 elective hand surgery episodes, 8% (9,158) had at least 1 OON charge. OON charges ranged from $1,154 (95% confidence interval, $1,018-$1,289) for wrist ganglion removal to $3,162 (95% confidence interval, $2,902-$3,423) for thumb carpometacarpal arthroplasty. In episodes with OON charges, the major sources of OON charges were anesthesiologists (75% of episodes), durable medical equipment (10% of episodes), and pathologists (9% of episodes). Site of service, geographic region, and health exchange-purchased plans were highly associated with OON charges. CONCLUSIONS: Out-of-network billing can represent a substantial cost burden to patients and should be considered in perioperative decision-making in elective hand surgery. CLINICAL RELEVANCE: Understanding the potential costs related to OON services during a surgical episode, and its drivers, allows surgeons to consider detailed cost discussions during perioperative decision making.