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1.
J Pediatr Nurs ; 75: e1-e9, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-38212174

RESUMEN

PURPOSE: Pediatric cancer is a significant health concern in China, and evaluating the impact of cancer and its treatment on the well-being of young patients is essential for both clinical care and research purposes. This study aimed to psychometrically validate the Patient-reported Outcomes Measurement Information System Pediatric-25 Profile (PROMIS-Pediatric-25) among Chinese children with cancer. DESIGN AND METHODS: We enrolled a group of 114 children living with cancer between the ages of 8 and 17. Each participant completed questionnaires that covered sociodemographic and clinical information and the PROMIS-Pediatric-25. The floor and ceiling effect was examined. Cronbach's alpha and split-half coefficient were examined to determine the reliability. Factor structure was explored by factor analysis. Three assumptions of Rasch model-based item response theory (IRT) were assessed. Differential item functioning (DIF) was investigated concerning factors of gender, diagnosis, and treatment stage. RESULTS: The floor or ceiling effects were detected for six domains. The reliability was found to be excellent. Furthermore, the factor structure of these six domains was validated. Our analysis confirmed that the assumptions required for IRT were met with acceptable unidimensionality, local independence, and good monotonicity. Additionally, we observed measurement equivalence, with outstanding levels of DIF across factors such as gender, diagnosis, and treatment stage. CONCLUSION: PROMIS-Pediatric 25 is a highly reliable and valid instrument for evaluating key domains of health-related quality of life in Chinese pediatric cancer patients. PRACTICE IMPLICATION: Nursing practice could engage the PROMIS-Pediatric 25 for accurate and quick children symptom and function assessment.


Asunto(s)
Neoplasias , Calidad de Vida , Humanos , Niño , Adolescente , Reproducibilidad de los Resultados , Psicometría , Encuestas y Cuestionarios , Neoplasias/diagnóstico , Neoplasias/terapia
2.
Front Neurol ; 15: 1395764, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-39114532

RESUMEN

Background: This study examines whether clot patterns at large artery occlusion sites, as observed using digital subtraction angiography (DSA) and computed tomography angiography (CTA), can reliably indicate intracranial atherosclerotic stenosis (ICAS) in acute ischemic stroke (AIS) patients. Methods: We conducted a retrospective analysis of patients treated with stent retriever thrombectomy for intracranial occlusions at our institute since 2017, with follow-up assessments conducted at 3 months. The patients were grouped based on the initial angiography clot topographies (i.e., cut-off or tapered signs). We assessed the potential of these topographies in predicting ICAS, including a clinical outcome analysis based on clot pattern, age, Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification, and onset-to-door time. Results: Among 131 patients (with a mean age of 66.6 years), the clot pattern emerged as a significant predictor of ICAS. The DSA-based model had a predictive area under the curve (AUC) of 0.745, with 55.1% sensitivity and 94.0% specificity. A multivariate model including age, onset-to-door time, TOAST classification as large artery atherosclerosis (LAA), and the presence of the tapered sign in clot patterns had an AUC of 0.916. In patients over 65 years of age with an onset-to-door time of >5 h and exhibiting a tapered sign in the clot pattern, the AUC reached 0.897. The predictive ability of the tapered sign was similar in DSA and CTA, showing 73.4% agreement between modalities. Conclusion: The clot pattern with the tapered sign as observed using DSA is significantly associated with ICAS. Incorporating this clot pattern with age, TOAST classification as LAA, and onset-to-door time enhances the prediction of ICAS. The clot pattern identified by CTA is also a reliable predictor, highlighting the importance of assessing clot patterns in ICAS identification.

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