Ultrasound identification of hand and wrist anatomical structures by hand surgeons new to ultrasonographic techniques.

PURPOSE: Ultrasound is becoming an essential tool for hand surgeons, but most of them are trained on the job, without any diploma or dedicated training. The aim of this study was to assess the ability of hand surgeons new to ultrasound to identify hand and wrist anatomical structures. METHODS: A monocentric study was conducted from January 2022 to April 2022. Ten residents and five attending hand surgeons, ultrasound novices, were involved in this study. The participants underwent two tests, wherein they were required to identify 17 anatomical structures using ultrasound, on the same subject. The second test was similar and carried out 2 to 6 weeks later by all participants. The number of structures successfully identified and if it was the case, the detection time per structure, were recorded. The correlations between participants age, years of surgical experience, surgical background (orthopedic or plastic) and the ability to perform immediately during the first test or to progress between the two tests were also assessed. RESULTS: The average number of structures identified during the first test (T1) was 14.1+/-2.1 (82.9%), versus 16.2+/-0.8 (95.3%) structures during the second test (T2) (p = 0.001). The mean detection time per structure was 53.4 +/- 18.9 s during T1 versus 27.7 +/- 7.2 s during T2 (p < 0.0001). A moderate negative correlation between the progression in the number of anatomical structures identified between the two tests and the years of surgical experience (ρ=-0.56; p = 0.029) was found. The other parameters were neither correlated with the ability to perform at the first test nor with the progression between the two tests. CONCLUSION: Hand surgeons new to ultrasound are most of the time able to identify hand and wrist anatomical structures. Comparison of their first and second tests showed significant potential for improvement in anatomical structure identification and detection time of those, especially in surgeons with limited surgical experience.

Association between Sleep Disturbances During Childhood and Smoking Trajectories During Adulthood: The Longitudinal TEMPO Cohort Study.

OBJECTIVE: This study examined the longitudinal association between child sleep disturbances from ages 3 to 16 and smoking in adulthood among subjects from a French cohort study. METHODS: Data from 2,134 subjects who participated in the French TEMPO cohort from 1991 to 2018 were used. Sleep disturbances observed from ages 3 to 16 years defined our exposure. Tobacco consumption trajectories constitute our outcomes and were ascertained by using Group-Based Trajectory Modeling, a semiparametric probabilistic method that hypothesizes the existence of distinct developmental trajectories over time within one population. The impact of SDs in childhood on adulthood's Tobacco consumption were studied using multinomial logistic regression. RESULTS: Sleep disturbances at 16 years or under were observed in 26.5% of participants. Five smoking trajectories were defined: "non-smokers", "decrease in consumption at age 20 years", "low-level tobacco use", "smoking followed by cessation at age 30 years" and "high-level tobacco use". No statistically significant association between sleep disturbances and smoking trajectories was found. Compared with nonsmokers, adjusted odds-ratios and 95% Confidence Intervals for each trajectory were respectively: 0.81 [0.52-1.26], 1.28 [0.74-2.22], 1.37 [0.88-2.15] and 1.01 [0.60-1.69]. CONCLUSION: These results suggest that smoking in adulthood may not be related to sleep disturbances in childhood.

Eater profile and associated factors in pediatric patients of the PEDIANUT cohort.

Appetite traits have multifactorial origins. In association with environmental and genetic factors, they could become problematic and lead to Feeding or Eating Disorders (FED). As the DSM-5 classification is not suitable for pediatric FED, another way to describe eating behavior is to distinguish the clinical profiles of "small eater" and "big eater". The aim of this study was to identify socio-demographic and medical factors associated with these profiles, and to compare problematic and non-problematic profiles. From the Pedianut study, we analyzed socio-demographic, medical and family history data among 401 children according to 4 age groups (<1 year n = 101, 1-6 years n = 99, 6-12 years n = 100, 12-18 years n = 101). The information collected on eating behavior made it possible to define small eater profile (SEP) and big eater profile (BEP) using predefined grids. BEP was more frequent in adolescents (35.6%), and SEP was more frequent in children aged 1-6 years (34.3%). BEP was associated with having separated parents, being male and the oldest sibling (p < 0.05). Problematic BEP was associated with eating while watching television, being a girl, and having sensory disorders (p < 0.05). SEP was associated, whatever age, with non-breastfeeding, chronic illness, psychological history, sensory disorders, language delays (in the 1-6 year age group), and family history of FED (in the adolescent group) (p < 0.05). This analysis of factors associated with eater profile opens new perspectives for research on risk factors associated with eating traits, which warrants further study in larger populations to delineate transition from healthy to problematic eating.

Estimated Prevalence and Care Pathway of Feeding and Eating Disorders in a French Pediatric Population.

Feeding and Eating Disorders (FED) are mostly described in infants and adolescents but are less well-known in children. Information on the prevalence of FED in the general pediatric population is still limited. The aim of this study was to estimate the prevalence and the care pathway of FED in a population aged 0-18 years old, using the Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 classification. Two physicians interviewed 401 families using a questionnaire including demographics, BMI, dietary behavior data, and age-appropriate screening tools. Qualitative and quantitative variables were compared using the Chi2 test and Student's t-test, respectively. After a headcount adjustment based on the French population by age group, the estimated prevalence rate was 3% [95%CI (1.7-5.1)] for Avoidant and Restrictive Food Intake Disorder (ARFID), and 9.7% [95%CI (7.2-13.0)] for Unspecified FED (UFED), which included other restrictive and compulsive FED. The median age for ARFID was 4.8 years (0.8-9 years), and 7.5 years (0.6-17 years) for UFED. The interviews did not identify cases of anorexia, bulimia, binge eating disorder, other specified FED, pica or rumination. Only 15.2% of children with an FED were receiving medical care. The development of validated pediatric screening tools, as well as the training of health professionals in children FED is necessary.