Objective: This study was designed to describe the clinical features and management outcomes of severe hand, foot and mouth disease (HFMD).
Subjects And Methods: Data on 147 severe HFMD patients during an outbreak in 2009 were analyzed.
Results: Most patients were under 3 years of age; 102 (69.4%) were boys. All had skin rashes and fever of ≥38°C. All (n = 147, 100%) showed signs of central nervous system involvement, such as lethargy (n = 124, 84.4%), myoclonic jerks (n = 76, 51.7%), or drowsiness (n = 34, 23.1%). Respiratory symptoms were mainly tachypnea (n = 112, 76.2%) or bradypnea (n = 21, 14.3%). Common cardiovascular symptoms included tachycardia (n = 134, 91.2%) and hypertension (n = 23, 15.5%). Chest X-ray showed increased markings in 76 (51.7%) or consolidation in 44 (29.9%). Hyperglycemia and elevated blood lactic acid levels were found in 127 (86.4%) and 130 (88.4%), respectively. Positive enterovirus EV71-PCR was found in 113 (76.9%). All patients were treated with mechanical ventilation for 61.2 ± 12.8 h (range, 40-96 h), as well as mannitol, dexamethasone, gamma globulin and ribavirin. Dopamine, dobutamine or amrinone was administered in 58.5, 51.0 and 21.8%, respectively. Three patients (2%) died during hospitalization. All others had a full recovery and were discharged after 14.2 ± 1.6 days (range, 12-17 days).
Conclusion: Central nervous and cardiorespiratory systems were involved in the patients with severe HFMD. Fasting blood glucose and lactic acid levels increased in the majority of patients. Mechanical ventilation and supportive pharmacotherapy were associated with a good clinical outcome in these patients.
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http://dx.doi.org/10.1159/000334619 | DOI Listing |
Background: Assisted partner services (APSs; sometimes called index testing) are now being brought to scale as a high-yield HIV testing strategy in many nations. However, the success of APSs is often hampered by low levels of partner elicitation. The Computer-Assisted Self-Interview (CASI)-Plus study sought to develop and test a mobile health (mHealth) tool to increase the elicitation of sexual and needle-sharing partners among persons with newly diagnosed HIV.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
School of Clinical Sciences, Monash University, Melbourne, Australia.
Background: eHealth interventions can favorably impact health outcomes and encourage health-promoting behaviors in children. More insight is needed from the perspective of children and their families regarding eHealth interventions, including features influencing program effectiveness.
Objective: This review aimed to explore families' experiences with family-focused web-based interventions for improving health.
JMIR Res Protoc
January 2025
Graduate Program of Psychiatry and Behavioral Sciences, Department of Psychiatry, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Background: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition emerging in early childhood, characterized by core features such as sociocommunicative deficits and repetitive, rigid behaviors, interests, and activities. In addition to these, disruptive behaviors (DB), including aggression, self-injury, and severe tantrums, are frequently observed in pediatric patients with ASD. The atypical antipsychotics risperidone and aripiprazole, currently the only Food and Drug Administration-approved treatments for severe DB in patients with ASD, often encounter therapeutic failure or intolerance.
View Article and Find Full Text PDFJ Clin Oncol
January 2025
Center for Cell Engineering, Sloan Kettering Institute, New York, NY.
Purpose: We designed a CD19-targeted chimeric antigen receptor (CAR) comprising a calibrated signaling module, termed 1XX, that differs from that of conventional CD28/CD3ζ and 4-1BB/CD3ζ CARs. Preclinical data demonstrated that 1XX CARs generated potent effector function without undermining T-cell persistence. We hypothesized that 1XX CAR T cells may be effective at low doses and elicit minimal toxicities.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Radiation Physics, Zhejiang Key Laboratory of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Accurate and efficient automatic segmentation is essential for various clinical tasks such as radiotherapy treatment planning. However, atlas-based segmentation still faces challenges due to the lack of representative atlas dataset and the computational limitations of deformation algorithms. In this work, we have proposed an atlas selection procedure (subset atlas grouping approach, MAS-SAGA) which utilized both image similarity and volume features for selecting the best-fitting atlases for contour propagation.
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