Background/purpose: Congenital diaphragmatic hernia (CDH) remains a significant cause of neonatal death. A wide spectrum of disease severity and treatment strategies makes comparisons challenging. The objective of this study was to create a standardized reporting system for CDH.
Methods: Data were prospectively collected on all live born infants with CDH from 51 centers in 9 countries. Patients who underwent surgical correction had the diaphragmatic defect size graded (A-D) using a standardized system. Other data known to affect outcome were combined to create a usable staging system. The primary outcome was death or hospital discharge.
Results: A total of 1,975 infants were evaluated. A total of 326 infants were not repaired, and all died. Of the remaining 1,649, the defect was scored in 1,638 patients. A small defect (A) had a high survival, while a large defect was much worse. Cardiac defects significantly worsened outcome. We grouped patients into 6 categories based on defect size with an isolated A defect as stage I. A major cardiac anomaly (+) placed the patient in the next higher stage. Applying this, patient survival is 99% for stage I, 96% stage II, 78% stage III, 58% stage IV, 39% stage V, and 0% for non-repair.
Conclusions: The size of the diaphragmatic defect and a severe cardiac anomaly are strongly associated with outcome. Standardizing reporting is imperative in determining optimal outcomes and effective therapies for CDH and could serve as a benchmark for prospective trials.
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http://dx.doi.org/10.1016/j.jpedsurg.2013.08.014 | DOI Listing |
JMIR Res Protoc
January 2025
Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, Malaysia.
Background: Postpartum depression remains a significant concern, posing substantial challenges to maternal well-being, infant health, and the mother-infant bond, particularly in the face of barriers to traditional support and interventions. Previous studies have shown that mobile health (mHealth) interventions offer an accessible means to facilitate early detection and management of mental health issues while at the same time promoting preventive care.
Objective: This study aims to evaluate the effectiveness of the Leveraging on Virtual Engagement for Maternal Understanding & Mood-enhancement (LoVE4MUM) mobile app, which was developed based on the principles of cognitive behavioral therapy and psychoeducation and serves as an intervention to prevent postpartum depression.
J Med Internet Res
January 2025
Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Background: Uncertainty in the diagnosis of lung nodules is a challenge for both patients and physicians. Artificial intelligence (AI) systems are increasingly being integrated into medical imaging to assist diagnostic procedures. However, the accuracy of AI systems in identifying and measuring lung nodules on chest computed tomography (CT) scans remains unclear, which requires further evaluation.
View Article and Find Full Text PDFActa Orthop Belg
December 2024
COVID-19 has extensively affected the health-care organization with varying impact on different medical specialties. Long term ICU admission is associated with a less familiar complication: the formation of heterotopic ossifications (HO). In this case report we would like to emphasize the unrecognized burden of the coronavirus pandemic in patient care from the perspective of the orthopedic surgeon.
View Article and Find Full Text PDFPsychol Trauma
January 2025
Hubert Department of Global Health, Rollins School of Public Health, Emory University.
Objective: To examine the prevalence of adverse childhood experiences (ACEs) and intimate partner violence (IPV) among married couples in Nepal as well as the relationships among ACEs, IPV (psychological, sexual, physical), and psychological distress.
Method: The sample comprised the control group ( = 720) of a cluster randomized intervention trial among married women in Nepal. Interviewers assessed ACEs, IPV, quality of life, self-efficacy, and depressive symptoms among participants.
Psychotherapy (Chic)
January 2025
Lyssn.io, Inc.
We developed an asynchronous online cognitive behavioral therapy (CBT) training tool that provides artificial intelligence- (AI-) enabled feedback to learners across eight CBT skills. We sought to evaluate the technical reliability and to ascertain how practitioners would use the tool to inform product iteration and future deployment. We conducted a single-arm 2-week field trial among behavioral health practitioners who treat outpatients with psychosis.
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