Objectives: This study aimed at identifying challenges nurses face in caring for patients with juvenile idiopathic arthritis (JIA) in Japan.
Methods: Nurses certified by the Japan Rheumatism Foundation were asked to describe their challenges in caring for JIA patients. Data were analysed using qualitative content analysis.
Results: Responses were collected from 89 participants. Fifty-eight issues were identified from 40 participants with experience in caring for JIA patients. Sixteen categories emerged, which were grouped into five challenges: communication, understanding, expertise, system, and collaboration. Care for JIA patients included different challenges from adult patients with rheumatoid arthritis, such as complicated patient-parent relationships, inadequate patient independence, and insufficient patient information. Moreover, 76 issues from 49 participants with no experience were identified. Seven categories emerged, which were grouped into two challenges: expertise and opportunity. Issues included in expertise between both groups were similar. Even with no experience in caring for JIA patients, nurses recognized the importance of acquiring knowledge.
Conclusions: This is the first study in Japan regarding the difficulties nurses face in caring for JIA patients. Multidisciplinary team care and a comprehensive understanding of the patient journey, including relationships with guardians, acquaintances, and healthcare providers, are crucial to improve treatment outcome and overall patient quality of life.
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http://dx.doi.org/10.1093/mr/roae041 | DOI Listing |
World J Gastrointest Endosc
January 2025
Department of Anesthesiology, Baoding First Central Hospital, Baoding 071000, Hebei Province, China.
Background: Administering anesthesia to elderly patients undergoing gastroenteroscopy necessitates careful attention due to age-related physiological changes and an increased risk of complications.
Aim: To analyze the research trends in anesthesia management for elderly patients undergoing gastroenteroscopy.
Methods: We performed a literature search using the Web of Science database to identify articles published between 2004 and 2023.
Front Pharmacol
January 2025
Department of General Surgery, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
Background: Pancreatic cancer remains one of the deadliest malignancies, largely due to its late diagnosis and lack of effective therapeutic targets.
Materials And Methods: Using traditional machine learning methods, including random-effects meta-analysis and forward-search optimization, we developed a robust signature validated across 14 publicly available datasets, achieving a summary AUC of 0.99 in training datasets and 0.
J Diabetes Metab Disord
June 2025
Department of Peripheral Vascular Diseases, First Affiliated Hospital, Heilongjiang University of Traditional Chinese Medicine, Harbin, China.
Objective: The escalating prevalence of Type-2 diabetes mellitus (T2DM) poses a significant global health challenge. Utilizing integrative proteomic analysis, this study aimed to identify a panel of potential protein markers for T2DM, enhancing diagnostic accuracy and paving the way for personalized treatment strategies.
Methods: Proteome profiles from two independent cohorts were integrated: cohort 1 composed of 10 T2DM patients and 10 healthy controls (HC), and cohort 2 comprising 87 T2DM patients and 60 healthy controls.
Pediatr Rheumatol Online J
January 2025
Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Background: An accurate diagnosis of septic versus reactive or autoimmune arthritis remains clinically challenging. A multi-omics strategy comprising metagenomic and proteomic technologies were undertaken for children diagnosed with presumed septic arthritis to advance clinical diagnoses and care for affected individuals.
Methods: Twelve children with suspected septic arthritis were prospectively enrolled to compare standard of care tests with a rapid multi-omics approach.
J Cardiothorac Surg
January 2025
Department of Thyroid Breast Cardiothoracic & Vascular Surgery, Beibei District Hospital of Traditional Chinese Medicine, No. 380 Jiangjun Road, Beibei District, Chongqing, 400700, China.
Background: To evaluate the clinical diagnostic value of third-generation dual-source CT for pulmonary embolism, focusing on the optimization of dual-source CT scanning with dynamic reconstruction in acute pulmonary embolism (PE) and various imaging manifestations.
Methods: Eighty-two patients with pulmonary embolism were enrolled and randomly divided into standard CT angiography (SCTA) and dynamic CT angiography (DCTA). DCTA patients were divided into dynamic CT angiography arterial phase (DCTAa), time phase Angiography reconstruction (TMIP-CTA), and 4D noise reduction TMIP-CTA according to the image reconstruction.
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