The preservation of residual limb length in lower extremity amputations is crucial to optimize prosthetic fitting and to obtain the maximal functional outcome. A series of cases are presented that outline soft tissue coverage options for preserving maximal residual limb length. Applying various concepts from the reconstructive ladder may allow for viable soft tissue coverage to maximize functional outcome.
Open-book pelvic fractures (OBPF) with concomitant intra-abdominal injuries carry a high morbidity and mortality; the significance of associated perineal open wound (OBPF-POW) has not been defined. We hypothesize that the presence of perineal open wounds increases morbidity, mortality, and concomitant use of hospital resources. Patients diagnosed with OBPF over a 5-year period at a Level I trauma center were identified by trauma registry review, and were retrospectively reviewed under an Institutional Review Board-approved protocol. Patients with OBPF without a perineal open wound were compared with those with OBPF-POW. Data collected included patient demographics, injury details, management, and outcomes. A total of 1,635 patients with blunt pelvic fractures were identified, of which 177 (10.8%) had OBPF. OBPF-POW (36/177) significantly increased the use of angioembolization, occurrence of sepsis, pelvic sepsis, ARDS, and multi-organ system failure. Patients with OBPF-POW had an increase of 13 days in length of hospitalization compared with the OBPF group ( P < 0.001), with cost of $120,647.30 and $62,952.72 respectively ( P < 0.001). Perineal open wounds complicate open-book pelvic fractures with significant increase in hospital resource utilization. Aggressive multidisciplinary evaluation and management is appropriate to detect and prevent complications.
The purpose of this report is to describe regenerative medicine applications in the management of complex injuries sustained by service members injured in support of the wars in Afghanistan and Iraq. Improvements in body armor, resuscitative techniques and faster transport have translated into increased patient survivability and more complex wounds. Combat-related blast injuries have resulted in multiple extremity injuries, significant tissue loss and amputations. Due to the limited availability and morbidity associated with autologous tissue donor sites, the introduction of regenerative medicine has been critical in managing war extremity injuries with composite massive tissue loss. Through case reports and clinical images, this report reviews the application of regenerative medicine modalities employed to manage combat-related injuries. It illustrates that the novel use of hybrid reconstructions combining traditional and regenerative medicine approaches are an effective tool in managing wounds. Lessons learned can be adapted to civilian care.
Background: Patient-reported outcomes (PROs) measure progression and quality of care. While legacy PROs such as the International Knee Documentation Committee (IKDC) survey are well-validated, a lengthy PRO creates a time burden on patients, decreasing adherence. In recent years, PROs such as the Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function and Pain Interference surveys were developed as computer adaptive tests, reducing time to completion. Previous studies have examined correlation between legacy PROs and PROMIS; however, no studies have developed effective prediction models utilizing PROMIS to create an IKDC index. While the IKDC is the standard knee PRO, computer adaptive PROs offer numerous practical advantages. Purpose: To develop a nonlinear predictive model utilizing PROMIS Physical Function and Pain Interference to estimate IKDC survey scores and examine algorithm sensitivity and validity. Study Design: Cohort study (diagnosis); Level of evidence, 3. Methods: The MOTION (Military Orthopaedics Tracking Injuries and Outcomes Network) database is a prospectively collected repository of PROs and intraoperative variables. Patients undergoing knee surgery completed the IKDC and PROMIS surveys at varying time points. Nonlinear multivariable predictive models using Gaussian and beta distributions were created to establish an IKDC index score, which was then validated using leave-one-out techniques and minimal clinically important difference analysis. Results: A total of 1011 patients completed the IKDC and PROMIS Physical Function and Pain Interference, providing 1618 complete observations. The algorithms for the Gaussian and beta distribution were validated to predict the IKDC (Pearson = 0.84-0.86; R2 = 0.71-0.74; root mean square error = 9.3-10.0). Conclusion: The publicly available predictive models can approximate the IKDC score. The results can be used to compare PROMIS Physical Function and Pain Interference against historical IKDC scores by creating an IKDC index score. Serial use of the IKDC index allows for a lower minimal clinically important difference than the conventional IKDC. PROMIS can be substituted to reduce patient burden, increase completion rates, and produce orthopaedic-specific survey analogs.
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