Prevalence and risk factors for nerve injury following shoulder dislocation.

BACKGROUND: The glenohumeral joint dislocation can be associated with major nerve injury. The reported prevalence and risk factors for major nerve injury are variable and this injury can have a severe and life-long impact on the patient. The objectives of this study were to analyse the prevalence of major nerve injury following shoulder dislocation and examine risk factors. Management and outcomes of nerve injury were explored. METHODS: A 1 year retrospective cohort study of 243 consecutive adults who presented with a shoulder dislocation was performed. Data were collected on patient demographics, timings of investigations, treatment, follow-up, and nerve injury prevalence and management. The primary outcome measure was prevalence of nerve injury. Risk factors for this were analysed using appropriate tests with Stata SE15.1. RESULTS: Of 243 patients with shoulder dislocation, 14 (6%) had neurological deficit. Primary dislocation (p = 0.004) and older age (p = 0.02) were significantly associated with major nerve injury. Sex, time to successful reduction and force of injury were not associated with major nerve injury in this cohort. Patients with nerve injury made functional recovery to varying degrees. Recurrent shoulder dislocation was common accounting for 133/243 (55%) attendances. CONCLUSIONS: Shoulder dislocation requires careful assessment and timely management in the ED. A 6% rate of nerve injury following shoulder dislocation was at the lower border of reported rates (5-55%), and primary dislocation and older age were identified as risk factors for nerve injury. We emphasise the importance of referring patients with suspected major nerve injury to specialist services.

Environmental Exposures Such as Smoking and Low Vitamin D Are Predictive of Poor Outcome in Cutaneous Melanoma rather than Other Deprivation Measures.

A lack of basic resources within a society (deprivation) is associated with increased cancer mortality, and this relationship has been described for melanoma. We have previously reported the association of smoking and low vitamin D levels with melanoma death. In this study, we further explored the associations of these with melanoma in addition to deprivation and socio-economic stressors. In this analysis of 2,183 population-ascertained primary cutaneous melanoma patients, clinical, demographic, and socio-economic variables were assessed as predictors of tumor thickness, melanoma death and overall death. Using the Townsend deprivation score, the most deprived group did not have thicker tumors compared to the least deprived. Of the World Health Organization 25x25 risk factors for premature death, smoking and body mass index (BMI) were independently associated with thicker tumors. Low vitamin D was also independently associated with thicker tumors. No socio-economic stressors were independent predictors of thickness. Smoking was confirmed as a key predictor of melanoma death and overall death, as were low vitamin D levels, independent of other measures of deprivation. Neither BMI nor the Townsend deprivation score were predictive in either survival analysis. We report evidence for the role of smoking, vitamin D, and BMI in melanoma progression independent of a postcode-derived measure of deprivation.

Reducing implant loss rates in immediate breast reconstructions.

UK best practice guidelines for oncoplastic breast reconstruction were published in 2012. Implant-based reconstruction quality indicator (QI) targets for readmission, return to theatre and implant loss rates were set at 5% by 3 months, along with guidance to achieve these targets. The aims of this study were to quantify complication rates following implant-based reconstruction before and after the implementation of the guidelines. A retrospective audit of 86 patients with 106 implants in the 12 months to June 2013 was performed, C1. Following institutional changes including reducing antibiotic usage, a prospective audit was performed on 89 patients with 105 implants to June 2014, C2. Extended follow-up of salvaged implants was also performed. Demographics were not significantly different between the two cohorts apart from smoking. Implant loss rates fell from 7.5%(C1) to 1.9%(C2), p = 0.054 but at the cost of an increase in the return to theatre rate (14.2%-18%, p > 0.05). The implant salvage rate increased from 47% in C1 to 89.5% in C2, however, 3 of the implants that were salvaged were lost in the long term giving an overall salvage rate of 82.4% in C2. While an implant loss rate of <5% at 3 months appears achievable with less antibiotic use, this was made possible by the institution of an aggressive readmission and salvage policy. We would question the QI standards for readmission and return to theatre for immediate implant-based breast reconstruction, given that our implant loss rate of 1.9% was achieved with a return to theatre rate of 18%.