Objective: Girls with congenital adrenal hyperplasia show a variable degree of genital masculinization at birth. Antenatal dexamethazone treatment for the mother is known to reduce the severity of this condition. There are however few data on the effect of postnatal steroid therapy on the cosmetic appearance of the external genitalia.
Patients And Method: We report the appearance of the external genitalia of three girls with classical congenital adrenal hyperplasia followed up by steroid therapy alone.
Results: Growth of the labia majora and a relative reduction in clitoral size improved the appearance of the external genitalia in these three girls.
Conclusion: There seems to be improvement in the external appearance of genitalia with postnatal steroid therapy. This could allay parental concerns and help in the planning of corrective surgery peripubertally with the informed consent of the child.
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http://dx.doi.org/10.1016/j.jpurol.2010.01.001 | DOI Listing |
Sci Rep
January 2025
Nursing Department, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Timely and effective rescue of critically ill children no longer solely relies on advanced medical technology; vascular access plays a pivotal role. Best practice recommendations for nursing in vascular access are critical for ICU patients. However, clear guidelines for the maintenance of external infusion connection devices remain lacking.
View Article and Find Full Text PDFInt Dent J
January 2025
Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China; Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong Special Administrative Region, China. Electronic address:
Objectives: Periodontal disease is a significant public health concern among older adults due to its relationship with tooth loss and systemic health disease. However, there are numerous barriers that prevent older adults from receiving routine dental care, highlighting the need for innovative screening tools at the community level. This pilot study aimed first, to evaluate the accuracy of GumAI, a new mHealth tool that uses AI and smartphones to detect gingivitis, and the user acceptance of personalized oral hygiene instructions provided through the new tool, among older adults in day-care community centers.
View Article and Find Full Text PDFEat Behav
January 2025
Department of Health Behavior and Health Education, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
The first year postpartum is a sensitive time for maternal eating behaviors including emotional, external and restrained eating, which have all been associated with negative health outcomes. Furthermore, among women with a history of trauma, the stress of the postpartum period and early parenting may replicate feelings of helplessness and overwhelm experienced during childhood trauma, which may further contribute to these eating behaviors. Although evidence has shown how mothers eat during this time has long-term implications for infants' eating and health, limited research has characterized eating trajectories and associations with women's history of childhood trauma exposure during this critical period.
View Article and Find Full Text PDFComput Biol Med
January 2025
School of Information Technology, Deakin University, Melbourne, Victoria, Australia. Electronic address:
Diabetes mellitus (DM) represents a major global health challenge, affecting a diverse range of demographic populations across all age groups. It has particular implications for women during pregnancy and the postpartum period. The contemporary prevalence of sedentary lifestyle patterns and suboptimal dietary practices has substantially contributed to the escalating incidence of this metabolic disorder.
View Article and Find Full Text PDFComput Biol Med
January 2025
College of Electronic Information, Xijing University, Xi'an, China. Electronic address:
Accurate and efficient drug-drug interaction extraction (DDIE) from the medical corpus is essential for pharmacovigilance, drug therapy and drug development. To solve the problems of unbalance dataset and lack of accurate manual annotations in DDIE, a cross-attention guided Siamese quantum BiGRU (CA-SQBG) is constructed to improve feature representation learning ability for DDIE. It mainly consists of two quantum BiGRUs (QBiGRUs) and a cross-attention, where two QBiGRUs are Siamese implemented in a variational quantum environment to learn the contextual semantic feature representation of drug pairs, cross-attention is employed to learn mutual information from the Siamese QBiGRUs, which in turn allows the two modules to extract DDI more collaboratively.
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