Outcomes of microsurgical free tissue transfer performed on international surgical collaborations in low-income and middle-income countries: A systematic review and meta-analysis.

BACKGROUND: Microsurgical free tissue transfer is the gold standard for reconstruction of significant soft tissue and bony defects following cancer resection and trauma. Many reconstructive units in low-income and middle-income countries (LMICs) do not yet have access to the resources or training required to perform microsurgical procedures. Long-term international collaborations have been formed with annual reconstructive programmes conducting microsurgery. AIMS: To critically analyze outcomes of microsurgical free tissue transfer performed on international reconstructive collaborations in LMICs. METHODS: PRISMA-compliant systematic review and meta-analysis of outcomes for free tissue transfer performed during international collaborations in LMICs using an inverse variance model. The study protocol was published prospectively and registered with PROSPERO (ID: CRD42021225613). RESULTS: Seven studies, included 290 flaps on 284 patients. The most common sites requiring reconstruction were Head and neck (53% (n = 153)) and lower limb (7.9% (n = 23)) were lower limb reconstruction. The most common free flaps were radial forearm (22%; n = 64) and anterolateral thigh (18%; n = 51). Total Flap Failure rate was 3.8% (n = 13; 95% confidence interval (CI) = 1.9-6.3%) Overall complication rate was 38% (95% CI =27-48%), with 19% of flaps requiring emergency return to theatre (95% CI =14-26%). Flap salvage was successful in 52% of take-backs (95% CI =15% - 88%). CONCLUSIONS: Free flaps performed during international surgical collaborations in LMICs have comparable failure rates to those performed in higher-income settings. However, there are higher complication and take-back rates. This should be taken into account when planning international collaborations. These results should help preoperative counselling and the consent process.

COP26 and the climate crisis: How can plastic surgeons do their bit?

In this piece of correspondence, the authors set out their strategies for how plastic surgery services can reduce their impact on the environment.

Protocol for a systematic review of outcomes from microsurgical free-tissue transfer performed on short-term collaborative surgical trips in low-income and middle-income countries.

BACKGROUND: In many units around the world, microsurgical free-tissue transfer represents the gold standard for reconstruction of significant soft tissue defects following cancer, trauma or infection. However, many reconstructive units in low-income and middle-income countries (LMICs) do not yet have access to the resources, infrastructure or training required to perform any microsurgical procedures. Long-term international collaborations have been formed with annual short-term reconstructive missions conducting microsurgery. In the first instance, these provide reconstructive surgery to those who need it. In the longer-term, they offer an opportunity for teaching and the development of sustainable local services. METHODS: A PRISMA-compliant systematic review and meta-analysis will be performed. A comprehensive, predetermined search strategy will be applied to the MEDLINE and Embase electronic databases from inception to August 2021. All clinical studies presenting sufficient data on free-tissue transfer performed on short-term collaborative surgical trips (STCSTs) in LMICs will be eligible for inclusion. The primary outcomes are rate of free flap failure, rate of emergency return to theatre for free flap salvage and successful salvage rate. The secondary outcomes include postoperative complications, cost effectiveness, impact on training, burden of disease, legacy and any functional or patient reported outcome measures. Screening of studies, data extraction and assessments of study quality and bias will be conducted by two authors. Individual study quality will be assessed according to the Oxford Evidence-based Medicine Scales of Evidence 2, and risk of bias using either the 'Revised Cochrane risk of bias tool for randomized trials' (Rob2), the 'Risk of bias in non-randomized studies of interventions' (ROBINS-I) tool, or the National Institute for Health Quality Assessment tool for Case Series. Overall strength of evidence will be assessed according to the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach. DISCUSSION: To-date the outcomes of microsurgical procedures performed on STCSTs to LMICs are largely unknown. Improved education, funding and allocation of resources are needed to support surgeons in LMICs to perform free-tissue transfer. STCSTs provide a vehicle for sustainable collaboration and training. Disseminating microsurgical skills could improve the care received by patients living with reconstructive pathology in LMICs, but this is poorly established. This study sets out a robust protocol for a systematic review designed to critically analyse outcomes. SYSTEMATIC REVIEW REGISTRATION: PROSPERO 225613.

Pre-stroke disability and stroke severity as predictors of discharge destination from an acute stroke ward.

BACKGROUND AND RATIONALE: Reliable prediction of discharge destination in acute stroke informs discharge planning and can determine the expectations of patients and carers. There is no existing model that does this using routinely collected indices of pre-morbid disability and stroke severity. METHODS: Age, gender, pre-morbid modified Rankin Scale (mRS) and National Institutes of Health Stroke Scale (NIHSS) were gathered prospectively on an acute stroke unit from 1,142 consecutive patients. A multiclass random forest classifier was used to train and validate a model to predict discharge destination. RESULTS: Used alone, the mRS is the strongest predictor of discharge destination. The NIHSS is only predictive when combined with our other variables. The accuracy of the final model was 70.4% overall with a positive predictive value (PPV) and sensitivity of 0.88 and 0.78 for home as the destination, 0.68 and 0.88 for continued inpatient care, 0.7 and 0.53 for community hospital, and 0.5 and 0.18 for death, respectively. CONCLUSION: Pre-stroke disability rather than stroke severity is the strongest predictor of discharge destination, but in combination with other routinely collected data, both can be used as an adjunct by the multidisciplinary team to predict discharge destination in patients with acute stroke.

Compositional MRI of the Hip: Reproducibility, Effect of Joint Unloading, and Comparison of T2 Relaxometry with Delayed Gadolinium-Enhanced Magnetic Resonance Imaging of Cartilage.

OBJECTIVE: Our aim was to compare T2 with delayed gadolinium-enhanced magnetic resonance imaging of cartilage (dGEMRIC) in the hip and assess the reproducibility and effect of joint unloading on T2 mapping. DESIGN: Ten individuals at high risk of developing hip osteoarthritis (SibKids) underwent contemporaneous T2 mapping and dGEMRIC in the hip (10 hips). Twelve healthy volunteers underwent T2 mapping of both hips (24 hips) at time points 25, 35, 45, and 55 minutes post offloading. Acetabular and femoral cartilage was manually segmented into regions of interest. The relationship between T2 and dGEMRIC values from anatomically corresponding regions of interests was quantified using Pearson's correlation. The reproducibility of image analysis for T2 and dGEMRIC, and reproducibility of image acquisition for T2, was quantified using the intraclass correlation coefficient (ICC), root mean square coefficient of variance (RMSCoV), smallest detectable difference (SDD), and Bland-Altman plots. The paired t test was used to determine if difference existed in T2 values at different unloading times. RESULTS: T2 values correlated most strongly with dGEMRIC values in diseased cartilage (r = -0.61, P = <0.001). T2 image analysis (segmentation) reproducibility was ICC = 0.96 to 0.98, RMSCoV = 3.5% to 5.2%, and SDD = 2.2 to 3.5 ms. T2 values at 25 minutes unloading were not significantly different to longer unloading times (P = 0.132). SDD for T2 image acquisition reproducibility was 7.1 to 7.4 ms. CONCLUSIONS: T2 values in the hip correlate well with dGEMRIC in areas of cartilage damage. T2 shows high reproducibility and values do not change beyond 25 minutes of joint unloading.