Application of latent class analysis in assessing the awareness, attitude, practice and satisfaction of paediatricians on sleep disorder management in children in Italy.

AIM: To identify subgroups regarding paediatricians' awareness, attitude, practice and satisfaction about management of Sleep-Disordered Breathing (SDB) in Italy using Latent Class Analysis (LCA). METHODS: A cross-sectional study was conducted on a large sample of Italian paediatricians. Using a self-administered questionnaire, the study collected information on 420 Paediatric Hospital Paediatricians (PHPs) and 594 Family Care Paediatricians (FCPs). LCA was used to discover underlying response patterns, thus allowing identification of respondent groups with similar awareness, attitude, practice and satisfaction. A logistic regression model was used to investigate which independent variables influenced latent class membership. Analyses were performed using R 3.5.2 software. A p-value<0.05 was considered statistically significant. RESULTS: Two classes were identified: Class 1 (n = 368, 36.29%) "Untrained and poorly satisfied" and Class 2 (n = 646, 63.71%) "Trained and satisfied." Involving paediatric pneumologists or otorhinolaryngologists in clinical practice was associated with an increased probability of Class 2 membership (OR = 5.88, 95%CI [2.94-13.19]; OR = 15.95, 95% CI [10.92-23.81] respectively). Examining more than 20 children with SDB during the last month decreased the probability of Class 2 membership (OR = 0.29, 95% CI [0.14-0.61]). FCPs showed a higher probability of Class 2 membership than PHPs (OR = 4.64, 95% CI [3.31-6.55]). CONCLUSIONS: These findings suggest that the LCA approach can provide important information on how education and training could be tailored for different subgroups of paediatricians. In Italy standardized educational interventions improving paediatricians' screening of SDB are needed in order to guarantee efficient management of children with SDB and reduce the burden of disease

The fight between PCNL, laparoscopic and robotic pyelolithotomy: do we have a winner? A systematic review and meta-analysis

INTRODUCTION The aim of this systematic review and meta-analysis was to provide an updated comparison between the currently available minimally invasive approaches (PCNL, laparoscopic [LP] and robotic pyelolithotomy [RP]) for the management of large renal stones. EVIDENCE ACQUISITION An electronic search of the current literature was conducted through the Medline and NCBI PubMed, Embase, Scopus and Cochrane Collaboration Central Register of Controlled Clinical Trials databases in March 2021. Studies about minimally-invasive treatment for kidney stones were considered. Inclusion criteria were: studies evaluating patients with large renal calculi (≥2 cm); the comparison of at least two of the three approaches (PCNL, LP, RP), and reporting data suitable for meta-analysis evaluation. Patients with concomitant management for ureteropelvic junction obstruction (UPJ-O) were excluded. EVIDENCE SYNTHESIS Overall, 17 reports were considered for qualitative and quantitative synthesis, for a total cohort of 1079 patients, of which 534 with PCNL, 525 treated with LP, and 20 with RP. Of those, 16 compared PCNL with LP, while only 1 study compared LP with RP. PCNL mean operative time was statistically significantly shorter than LP and RP while mean estimated blood loss was statistically significantly higher for PNCL. No statistically significant differences were recorded among the three surgical approaches. Finally, PCNL demonstrated slightly, albeit statistically significant lower stone free rate when compared with LP. CONCLUSIONS PCNL, LP and RP may be safely and efficiently used to manage large renal stones. All three procedures showed reasonably low rate of complications with a satisfactory stone clearance rate