Citations

Background: Although injectable soft-tissue fillers are frequently used for facial rejuvenation, there is a dearth of objective data evaluating the tissue-lifting effects. Current practices for efficacy evaluation include some subjectivity. This study seeks to evaluate the lifting effects of facial soft-tissue fillers in a quantifiable, objective setting. Methods: Twenty fresh hemifaces obtained from 10 Caucasian body donors (seven women and three men) with a mean age of 83.5 ± 6.8 years and a mean body mass index of 25.3 ± 4.3 kg/m2 were injected with soft-tissue fillers following a predefined treatment algorithm. Three-dimensional surface scanning procedures were performed to assess postinjection effects. Results: Injections in the medial face [i.e., forehead, medial midface, and perioral (chin and labiomandibular sulcus)] increased the local surface volume by 0.67, 0.56, and 0.87 cc and created local (but not regional) lifting effects of 1.11, 0.11, and 0.74 mm. Injections in the lateral face (temple, lateral midface, and jawline) changed the local surface volume by 0.45, 0.02, and −0.38 cc, and created local lifting effects of 0.57, 0.81, and 0.29 mm, respectively. Lateral face injections, however, created additional regional lifting effects by co-influencing neighboring lateral facial regions, which was not observed for medial face injections. Conclusions: This cadaveric study provides evidence that soft-tissue fillers, although typically classified as volumizers, can induce lifting effects of the face. Whereas temporal deep supraperiosteal injections have limited lifting effects, the combined effects of subdermal injections of the temple, lateral midface, and mandibular angle can induce lifting effects of the total lateral face. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, V.

AbstractBackgroundGlutaric acidemia type I (GA1) is an organic acidemia that is often unrecognized in the newborn period until patients suffer an acute encephalopathic crisis, which can be mistaken for nonaccidental trauma. Presymptomatic identification of GA1 patients is possible by newborn screening (NBS). However, the biochemical “low‐excretor” (LE) phenotype with nearly normal levels of disease metabolites can be overlooked, which may result in untreated disease and irreversible neurological sequelae. The LE phenotype is also a potential source of false negative (FN) NBS results that merits further investigation.MethodsSamples from six LE GA1 patients were analyzed by biochemical and molecular methods and newborn screen outcomes were retrospectively investigated.ResultsFive LE GA1 patients were identified that had normal NBS results and three of these presented clinically with GA1 symptoms. One additional symptomatic patient was identified who did not undergo screening. Semiquantitative urine organic acid analysis was consistent with a GA1 diagnosis in two (33%) of the six patients, while plasma glutarylcarnitine was elevated in four (67%) of the six and urine glutarylcarnitine was elevated in four (80%) of five patients. Five GCDH variants were identified in these patients; three of which have not been previously linked to the biochemical LE phenotype.ConclusionsThe data presented here raise awareness of potential FN NBS results for LE GA1 patients. The LE phenotype is not protective against adverse clinical outcomes, and the possibility of FN NBS results calls for high vigilance amongst clinicians, even in the setting of a normal NBS result.

AbstractNeurofibrillary tangles, one of the neuropathologic hallmarks of Alzheimer's disease, have a dynamic lifespan of maturity that associates with progressive neuronal dysfunction and cognitive deficits. As neurofibrillary tangles mature, the biology of the neuron undergoes extensive changes that may impact biomarker recognition and therapeutic targeting. Neurofibrillary tangle maturity encompasses three levels: pretangles, mature tangles, and ghost tangles. In this review, we detail distinct and overlapping characteristics observed in the human brain regarding morphologic changes the neuron undergoes, conversion from intracellular to extracellular space, tau immunostaining patterns, and tau isoform expression changes across the lifespan of the neurofibrillary tangle. Post‐translational modifications of tau such as phosphorylation, ubiquitination, conformational events, and truncations are discussed to contextualize tau immunostaining patterns. We summarize accumulated and emerging knowledge of neurofibrillary tangle maturity, discuss the current tools used to interpret the dynamic nature in the postmortem brain, and consider implications for cognitive dysfunction and tau biomarkers.

Electronic cigarettes (e-cigarettes) or vaping use in adolescents has emerged as a public health crisis that impacts the perioperative care of this vulnerable population. E-cigarettes have become the most commonly used tobacco products among youth in the United States. Fruit and mint flavors and additives such as marijuana have enticed children and adolescents. E-cigarette, or vaping, product use–associated lung injury (EVALI) is a newly identified lung disease linked to vaping. Clinical presentation of EVALI can be varied, but most commonly includes the respiratory system, gastrointestinal (GI) tract, and constitutional symptoms. Clinical management of EVALI has consisted of vaping cessation and supportive therapy, including supplemental oxygen, noninvasive ventilation, mechanical ventilation, glucocorticoids, and empiric antibiotics, until infectious causes are eliminated, and in the most severe cases, extracorporeal membrane oxygenation (ECMO). Currently, although there is an insufficient evidence to determine the safety and the efficacy of e-cigarettes for perioperative smoking cessation, EVALI clearly places these patients at an increased risk of perioperative morbidity. Given the relatively recent introduction of e-cigarettes, the long-term impact on adolescent health is unknown. As a result, the paucity of postoperative outcomes in this potentially vulnerable population does not support evidence-based recommendations for the management of these patients. Clinicians should identify “at-risk” individuals during preanesthetic evaluations and adjust the risk stratification accordingly. Our societies encourage continued education of the public and health care providers of the risks associated with vaping and nicotine use and encourage regular preoperative screening and postoperative outcome studies of patients with regard to smoking and vaping use.