Mitral valve replacement in children: balancing durability and risk with mechanical and bioprosthetic valves.

OBJECTIVES: To investigate if there is still a place for bioprosthetic mitral valve replacement in children by comparing the prosthetic durability and transplant-free survival after bioprosthetic and mechanical mitral valve replacement. METHODS: We reviewed all mitral valve replacements in children between 1981 and 2020. Bioprosthetic mitral valve replacement cases were individually matched to mechanical mitral valve replacement cases. The incidence rate of a 2nd replacement was calculated using the cumulative incidence function that considered death or transplantation as a competing risk. RESULTS: The median age at implantation was 3.6 years (interquartile range 0.8-7.9) for the bioprosthetic valve cohort (n = 28) and 3 years (interquartile range 1.3-7.8) for the mechanical valve cohort (n = 28). Seven years after bioprosthetic mitral valve replacement, the cumulative incidence of death or transplantation was 17.9% [95% confidence interval (CI) 6.3-34.1] and the cumulative incidence of a 2nd replacement was 63.6% (95% CI 39.9-80.1). Seven years after mechanical mitral valve replacement, the cumulative incidence of death or transplantation was 28.6% (95% CI 13.3-46) and the cumulative incidence of a 2nd replacement was 10.7% (95% CI 2.6-25.5). Fifteen years after mechanical mitral valve replacement, the cumulative incidence of death or transplantation was 33.6% (95% CI 16.2-52.1) and the cumulative incidence of a 2nd replacement was 41.1% (95% CI 18.4-62.7). The cumulative incidence curves for bioprosthetic and mechanical mitral valve replacement were statistically different for a 2nd valve replacement (P < 0.001) but not for death or transplantation (P = 0.33). CONCLUSIONS: There is no difference in transplant-free survival after bioprosthetic and mechanical mitral valve replacement in children. The lifespan of bioprosthetic mitral valves remains limited in children because of structural valve failure due to calcification. After 15 years, 40% of mechanical valves were replaced, primarily because of patient-prosthesis mismatch related to somatic growth.

Novel Selection Tools in Rhinoplasty Patients.

With no consensus document or guideline to help us compute the psychological make-up of rhinoplasty candidates and in the light of new perspectives of some key opinion leaders in the field of patient selection, the goals of this article are to offer a glimpse of the current literature together with the knowledge gaps, introduce some new tools for the preoperative consultation, help us identify who among our patients is at greatest risk for a poor outcome, and explain how childhood trauma can be linked to body shame and postoperative dissatisfaction.

Three-Dimensional Technology in Rhinoplasty.

Rhinoplasty is uniquely suited to capitalize on different aspects of three-dimensional (3D) modeling technology. Currently, 3D surface imaging of preoperative and postoperative nasal structure provides a platform for better surgical planning and patient counselling as well as objective postoperative measurements. Physical nasal models using 3D printing technology can improve rhinoplasty performance intraoperatively, postoperative outcomes, together with nasal prosthetic manufacture, by tailoring to specific patient anatomy. Advances in tissue engineering using 3D-printed biocompatible scaffolds have shown excellent nasal cartilage mimicry and hold promise for increasingly versatile directed tissue regeneration in rhinoplasty and nasal reconstructive surgery. As health care innovations are expected to become increasingly common in standard rhinoplasty practices in the future, we give an account of how 3D technologies can create new opportunities to optimize surgical planning and improve overall the patient experience.

Investigation of tissue level tolerance for cerebral contusion in a controlled cortical impact porcine model.

OBJECTIVE: Cerebral contusions (CC) represent a frequent lesion in traumatic brain injury, with potential morbidity from mass effect and tissue loss. Better understanding of the mechanical etiology will help to improve head protection. The goal of this study is to investigate the threshold for mechanical impact parameters to induce CC in an in vivo porcine controlled cortical impact model. METHODS: Thirty-four adult male pigs underwent craniotomy and controlled cortical impact with a hemispherical tip on intact dura under general anesthesia. Peak impact depth varied between 1.1 and 12.6 mm, and impact velocity between 0.4 and 2.2 m/s while the dwell time was kept at 200 ms. Two days following impact, the animals underwent magnetic resonance (MR) imaging of the brain, and were subsequently sacrificed for brain extraction. CC damage was investigated by magnetic resonance imaging and histology. RESULTS: All animals recovered from the impact without overt neurological deficit. Provoked injuries were histologically confirmed to be CC. Decreasing probability of cortical damage and white matter edema volume was observed with decreasing impact depth and velocity. No CC could be demonstrated below a product of impact depth and velocity of 0.8 mm*m/s, whereas the probability for CC was one third below 15 mm*m/s. The threshold for CC development as estimated from the current series of experiments, was situated at an impact depth of 2.0 mm and impact velocity of 0.4 m/s. CONCLUSION: Mechanical thresholds for CC development could be explored in the current porcine controlled cortical impact model. Findings will be used to further refine a cerebral contusion porcine model with volumetric histology data in light of future finite element cerebral contusion validation studies.

Allergic Rhinitis in Childhood and the New EUFOREA Algorithm.

Allergic rhinitis in childhood has been often missed, mistreated and misunderstood. It has significant comorbidities, adverse effects upon quality of life and educational performance and can progress to asthma or worsen control of existing asthma. Accurate diagnosis and effective treatment are important. The new EUFOREA algorithm provides a succinct but wide- ranging guide to management at all levels, based on previous guidelines with updated evidence and has been adjusted and approved by experts worldwide.

Morphing as a Selection Tool in the Rhinoplasty Consult: A Cross-Sectional Study.

Despite the recognized value of morphing in the literature, this preoperative tool has never been studied in the context of selection process in rhinoplasty. The main purpose of this article is to identify the use of morphing as a filter for unsuitable patients, the attrition rate from the initial consultation to surgery, and whether patients' appreciation on morphing influence their decision-making process. Three-hundred thirty-four consecutive patients, seeking rhinoplasty, underwent two-dimensional computer imaging and completed a 14-question survey about their opinion on morphing. Based on the presence or absence of patient/physician consensus on the expected outcomes during simulation, patients were divided into accepted or rejected candidates for surgery. Accepted candidates were scheduled for rhinoplasty and subdivided into those who underwent surgery, those who postponed their surgery (static), and those who cancelled their procedure. Their responses to the survey were compared between different patients' categories. Forty-four patients (13.2%) were rejected for rhinoplasty since consensus was not achieved during morphing. From 290 accepted patients, 178 underwent their operation (53.3%), 74 patients (22.1%) postponed their rhinoplasty, and 38 (11.4%) cancelled their surgery. Fifty-seven percent of rejected patients and 42% of the static group were not satisfied with the proposed results of morphing, in contrast with 16% of the operated group. Sixty-four percent of rejected patients, and 47% of the static group were not reassured after morphing, compared with 26% of the operated group. Presence or absence of consensus during morphing can guide the surgeon regarding a given patients' suitability for surgery. Patient satisfaction and reassurance with the morphed images can be a good predictor of patients who will proceed to surgery, calling attention to the value of morphing as a selection tool for surgeons and patients alike.