Objective: The Social Communication Questionnaire (SCQ) is a valid and reliable 40-item scale used to assess pervasive developmental disorders (PDDs). The aim of this study was to determine the validity and reliability of the SCQ-Turkish Form (SCQ-TF).
Materials And Methods: The study included 100 children and adolescents aged 4-18 years; 50 were diagnosed as PDD and 50 were diagnosed with intellectual disability (ID) based on DSM-IV-TR criteria. The consistency, test-retest reliability, content validity, and discriminant validity of SCQ-TF for the groups in the study sample were evaluated. SCQ-TF was compared to the Childhood Autism Rating Scale (CARS), Autism Behavioural Checklist (ABC), and Clinical Global Impression-Severity of Illness (CGI-SI). The most appropriate SCQ-TF cut-off point was determined via ROC analysis.
Results: The 4-factor structure of SCQ-TF accounted for 43.0% of the observed total variance. Correlations between SCQ-TF and the other measures were significant. The Cronbach's alpha value for the SCQ-TF total score was 0.80. The intraclass correlation coefficient (ICC) varied between 0.87 and 0.96, and the cut-off point was 15.
Conclusion: The findings show that SCQ-TF is valid and reliable for use in Turkey in those aged 4-18 years.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820243 | PMC |
Dis Esophagus
January 2025
Department of Digestive and Oncological Surgery, Claude Huriez Hospital, Chu Lille, Lille, France.
Background: Malnutrition is common with esophagogastric cancers and is associated with negative outcomes. We aimed to evaluate if immunonutrition during neoadjuvant treatment improves patient's health-related quality of life (HRQOL) and reduces postoperative morbidity and toxicities during neoadjuvant treatment.
Methods: A multicenter double-blind randomized controlled trial (RCT) was undertaken.
Acute respiratory infections (ARIs) are a leading cause of death in children under five globally. The seasonal trends and profiles of respiratory viruses vary by region and season. Due to limited information and the population's vulnerability, we conducted the hospital-based surveillance of respiratory viruses in Eastern Uttar Pradesh.
View Article and Find Full Text PDFMedicina (Kaunas)
January 2025
Department of Respiratory Care, College of Applied Medical Sciences, King Faisal University, Al-Ahasa 31982, Saudi Arabia.
: Despite the significant impacts of cognitive impairment on patients with chronic obstructive pulmonary disease (COPD), there is limited information available on healthcare workers' (HCWs) perceptions, current practice, and barriers to managing COPD patients with cognitive impairment. : A cross-sectional questionnaire was distributed to HCWs in Saudi Arabia between April and December 2023. The collected responses were analysed using descriptive statistics and logistic regression models.
View Article and Find Full Text PDFZhonghua Er Ke Za Zhi
January 2025
Department of Cardiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Key Laboratory of Children's Important Organ Development and Diseases of Chongqing Municipal Health Commission, National Clinical Key Cardiovascular Specialty, Chongqing400014, China.
To investigate the disease burden, clinical characteristics and independent risk factors affecting in-hospital outcomes of children with congenital heart disease (CHD) combined with heart failure (HF) in China. (1) Descriptive study: based on the global burden of disease study 2021, available data on children under 15 years of age with CHD and HF in China from 1990 to 2021 were collected. The prevalence and trends in different age subgroups (<1 year, 1-<2 years, 2-<5 years, 5-<10 years, 10-<15 years) were analyzed, and the annual percentage change (EAPC) was estimated using linear regression.
View Article and Find Full Text PDFRadiology
January 2025
From the Institute of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, Munich 81675, Germany.
Background Studies have explored the application of multimodal large language models (LLMs) in radiologic differential diagnosis. Yet, how different multimodal input combinations affect diagnostic performance is not well understood. Purpose To evaluate the impact of varying multimodal input elements on the accuracy of OpenAI's GPT-4 with vision (GPT-4V)-based brain MRI differential diagnosis.
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