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Objective: This is the first study to investigate the agreement between children's self-reports and parents' proxy reports on the quality of life (QoL) of children with medical complexity in the Chinese context. We further examined if there were differences in the concordance between children's self-reports and parents' proxy reports.
Methods: A cross-sectional study of 113 parent-child dyads was conducted on parents and their children aged 10-18 years with a diagnosis of medical complexity. The intra-class correlation coefficients between the scores of children and parents were excellent in total PedsQL and physical functioning, good in school functioning, and fair in social functioning and emotional functioning.
Results: Children rated themselves better than their parents for emotional, social, school, and physical functioning. Discordance between the emotional and social components was observed from parent-reported and child-reported. There are some discrepancies in interpretation on pediatric QoL between children with medical complexity and their parents.
Conclusion: The study suggested both parents and children's voices should be taken into account during health assessments and health-decision making to ensure tailor-made and appropriate nursing care is provided to the CMC.
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http://dx.doi.org/10.1111/nhs.70103 | DOI Listing |
Int J Dermatol
September 2025
Dermatology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Introduction: Cutaneous scalp metastases from breast carcinoma (CMBC) represent an uncommon manifestation of metastatic disease, with heterogeneous clinical presentations, including nodular or infiltrative lesions and scarring alopecia (alopecia neoplastica). The absence of standardized diagnostic criteria, particularly for alopecic phenotypes, poses challenges to early recognition of CMBC, which may represent either the first indication of neoplastic progression or a late recurrence.
Materials And Methods: We retrospectively analyzed a multicenter cohort of 15 patients with histologically confirmed CMBC.
Eur J Case Rep Intern Med
August 2025
Charleston Area Medical Center, Charleston, USA.
Introduction: species, particularly , are rare opportunistic pathogens that typically affect immunocompromised individuals. These infections usually present with respiratory or systemic symptoms and are often linked to environmental exposure. Asymptomatic infections are exceedingly rare and pose unique diagnostic and therapeutic challenges.
View Article and Find Full Text PDFEur J Case Rep Intern Med
August 2025
Department of Internal Medicine, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, USA.
Unlabelled: Autoimmune haemolytic anaemia (AIHA) is caused by antibody-mediated destruction of red blood cells. There are two broad categories of AIHA: warm and cold, both categorized by the thermal reactivity of the autoantibodies. Cold agglutinin disease (CAD) occurs at temperatures below normal body temperature and primarily involves IgM antibodies.
View Article and Find Full Text PDFEur J Case Rep Intern Med
August 2025
Department of Internal Medicine, Wayne State University School of Medicine, Trinity Health Oakland Hospital, Pontiac, USA.
Background: Invasive central nervous system (CNS) aspergillosis is rare among human immunodeficiency virus (HIV)-positive patients due to preserved neutrophil function, despite significant CD4+ T-cell depletion. Diagnosis typically requires histopathologic confirmation, but polymerase chain reaction (PCR) testing has introduced new challenges due to its high sensitivity but limited specificity.
Case Presentation: We describe a newly diagnosed 43-year-old HIV-positive male with concurrent Hodgkin lymphoma who presented with progressive neurological decline and a ring-enhancing brain lesion.
Neurotrauma Rep
August 2025
Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, China.
Accurate differentiation between persistent vegetative state (PVS) and minimally conscious state and estimation of recovery likelihood in patients in PVS are crucial. This study analyzed electroencephalography (EEG) metrics to investigate their relationship with consciousness improvements in patients in PVS and developed a machine learning prediction model. We retrospectively evaluated 19 patients in PVS, categorizing them into two groups: those with improved consciousness ( = 7) and those without improvement ( = 12).
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