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1.
Ital J Pediatr ; 46(1): 176, 2020 Nov 30.
Article in English | MEDLINE | ID: mdl-33256810

ABSTRACT

This paper runs through key progresses in epidemiology, pathomechanisms and therapy of various diseases in children that were issued in the Italian Journal of Pediatrics at the end of last year. Novel research and documents that explore areas such as allergy, critical care, endocrinology, gastroenterology, infectious diseases, neonatology, neurology, nutrition, and respiratory tract illnesses in children have been reported. These observations will help to control childhood illnesses.


Subject(s)
Pediatrics , Ambulances , Enterovirus Infections/diagnosis , Growth Disorders/diagnosis , Growth Disorders/etiology , Growth Disorders/therapy , Hand Disinfection , Humans , Hypersensitivity/diagnosis , Hypersensitivity/therapy , Infant, Newborn , Infant, Newborn, Diseases/diagnosis , Infant, Newborn, Diseases/therapy , Jaundice, Obstructive/diagnosis , Malnutrition/etiology , Malnutrition/prevention & control , Neonatology , Noninvasive Ventilation , Object Attachment , Osteomyelitis/diagnosis , Osteomyelitis/therapy , Pain/prevention & control , Respiratory Tract Diseases/diagnosis , Respiratory Tract Diseases/etiology , Respiratory Tract Diseases/therapy , Spinal Cord Compression/diagnosis , Spinal Cord Compression/etiology , Tooth Injuries/etiology , Tooth Injuries/therapy , Turner Syndrome/genetics , Vaccination , Virtual Reality
3.
Eur J Obstet Gynecol Reprod Biol ; 225: 51-56, 2018 Jun.
Article in English | MEDLINE | ID: mdl-29660578

ABSTRACT

OBJECTIVE: In 2013, our group assessed a risk stratification tool of endometrial cancer (EC), called REM (Risk of Endometrial Malignancy). A well known risk factor for EC is body mass index (BMI). In fact, (BMI > 30 and <35 kg/m2) and severe obesity (BMI > 35 kg/m2) were associated with a 2.6-fold and a 4.7-fold increase in EC risk, respectively. Therefore, in the present study we aim to improve the performance of REM, including BMI and developing a new scoring system, called REM-B (Risk of Endometrial Malignancy score associated to BMI), to classify patients into high risk or low risk groups for EC. STUDY DESIGN: Women, between 45 and 80 years, diagnosed with ultrasound endometrial abnormalities and scheduled to have surgery were enrolled on a prospective study at Department of Gynaecologic Oncology of Campus Bio-Medico of Rome. Preoperative clinical, ultrasound and laboratory features were taken into account. RESULTS: A total of 675 patients (88 with EC and 587 with benign endometrial disease) were divided in training set (TS) and verification set (VS). Age, symptom, BMI, HE4 levels and ultrasound endometrial thickness were found statistically significant and included into multivariate logistic regression model in order to determine the probability to have EC. REM-B showed an overall sensitivity of 94.7% (versus 92% of REM) and a specificity of 97.4% (versus 96% of REM). CONCLUSIONS: Our data support the use of REM-B to triage patients into low and high risk of EC, even if an external validation of model is needed.


Subject(s)
Body Mass Index , Endometrial Neoplasms/etiology , Endometrium/pathology , Obesity/complications , Aged , Aged, 80 and over , Algorithms , Endometrial Neoplasms/diagnostic imaging , Endometrial Neoplasms/pathology , Endometrium/diagnostic imaging , Female , Humans , Middle Aged , Obesity/diagnostic imaging , Obesity/pathology , Risk Factors , Ultrasonography
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