Modifiable Risk Factors for Prevention in Dupuytren Disease: A UK Biobank Case-Control Study.

BACKGROUND: Dupuytren disease is associated with significant comorbidity and mortality, and it has no existing prevention strategies. It is unclear which modifiable risk factors are most amenable for prevention. This study aimed to determine the strength of modifiable risk factors for Dupuytren disease, and to investigate associations with other diseases. METHODS: Using UK Biobank data, this case-control study analyzed the association between phenotypic variables and Dupuytren disease through multivariable logistic regression. Exposures assessed were age, sex, body mass index, waist-to-hip ratio, Townsend deprivation index, smoking status, alcohol intake, diabetes mellitus, hypertension, cancer, liver disease, respiratory disease, rheumatoid arthritis, epilepsy, psoriasis, and gout. RESULTS: There were 4148 cases and 397,425 controls. Male sex (OR, 3.23; 95% CI, 2.90 to 3.60; P = 1.07 × 10 -100 ), increasing age (OR, 1.08; 95% CI, 1.07 to 1.08; P = 6.78 × 10 -167 ), material deprivation (OR, 1.01; 95% CI, 1.00 to 1.02; P = 0.0305), high-density lipoprotein cholesterol (OR, 1.76; 95% CI, 1.58 to 1.96; P = 3.35 × 10 -24 ), smoking exposure, and alcohol intake were all associated with increased odds of Dupuytren disease. With increasing obesity class, there was approximately 25% decreased odds (OR, 0.774; 95% CI, 0.734 to 0.816; P = 4.71 × 10 -21 ). Diabetes with microvascular or end-organ complications was associated with more than 2.5 times increased odds of Dupuytren disease (OR, 2.59; 95% CI, 1.92 to 3.44; P = 1.92 × 10 -10 ). Within this group, increasing hemoglobin A1c values by 10 mmol/mol, or 0.9%, increased the odds by 31% (OR, 1.31; 95% CI, 1.13 to 1.51; P = 2.19 × 10 -4 ). CONCLUSION: Diabetes and poor glycemic control are major risk factors for Dupuytren disease, which present an opportunity for prevention. CLINICAL QUESTION/LEVEL OF EVIDENCE: Risk, III.

The learning curves of a validated virtual reality hip arthroscopy simulator.

INTRODUCTION: Decreases in trainees' working hours, coupled with evidence of worse outcomes when hip arthroscopies are performed by inexperienced surgeons, mandate an additional means of training. Though virtual reality simulation has been adopted by other surgical specialities, its slow uptake in arthroscopic training is due to a lack of evidence as to its benefits. These benefits can be demonstrated through learning curves associated with simulator training-with practice reflecting increases in validated performance metrics. METHODS: Twenty-five medical students with no previous experience of hip arthroscopy completed seven weekly simulated arthroscopies of a healthy virtual hip joint using a 70° arthroscope in the supine position. Twelve targets were visualised within the central compartment, six via the anterior portal, three via the anterolateral portal and three via the posterolateral portal. Task duration, number of collisions (bone and soft-tissue), and distance travelled by arthroscope were measured by the simulator for every session of each student. RESULTS: Learning curves were demonstrated by the students, with improvements in time taken, number of collisions (bone and soft-tissue), collision length and efficiency of movement (all p < 0.01). Improvements in time taken, efficiency of movement and number of collisions with soft-tissue were first seen in session 3 and improvements in all other parameters were seen in session 4. No differences were found after session 5 for time taken and length of soft-tissue collision. No differences in number of collisions (bone and soft-tissue), length of collisions with bone, and efficiency of movement were found after session 6. CONCLUSIONS: The results of this study demonstrate learning curves for a hip arthroscopy simulator, with significant improvements seen after three sessions. All performance metrics were found to improved, demonstrating sufficient visuo-haptic consistency within the virtual environment, enabling individuals to develop basic arthroscopic skills.

Neurovascular Anatomy at the "Box Junction": Considerations in the Anterolateral Thigh Flap.

BACKGROUND: The anterolateral thigh (ALT) perforator flap is one of the most widely used flaps in reconstructive microsurgery. This study investigated a previously unexplored and clinically relevant aspect of perforator anatomy: the "box junction" (BxJn), the point at which the perforator arises from its source vessel. Negotiating the BxJn can be a challenging and time-consuming step in flap harvest, due to the neurovascular structures in the area which must be protected from injury. However, as the presence and location of these structures have yet to be clearly defined, painstaking exploration is necessary on each occasion. Knowledge of BxJn anatomy could allow surgeons to harvest the ALT flap more rapidly and safely. METHODS: We dissected 20 cadaveric thighs and identified perforators to the ALT region and investigated the neurovascular anatomy at their BxJns. RESULTS: In 51 BxJns, two clinically relevant vascular structures were identified: an intramuscular artery arising from the perforator (23, 45% of cases) and a "deep" artery to the underlying muscle arising from the source vessel (29, 57% of cases). We confirmed the consistent presence of motor nerve branches and describe one previously unreported, clinically significant variation, in which the nerve to vastus lateralis crosses the BxJn (12, 24% of cases); 36, 71% of BxJns contained at least one vascular and one neural structure. CONCLUSION: Our study confirms that the BxJn is a site of potentially complex and challenging neurovascular anatomy for the surgeon. Based on these results, we propose an algorithm to guide inexperienced surgeons in negotiating this area.