The incidence of delayed chemotherapy-induced nausea and vomiting is relatively high among pediatric cancer patients. Nausea and vomiting symptoms can exacerbate physical and psychological burdens, potentially leading to aversion and reduced treatment adherence. This paper analyzes and summarizes delayed chemotherapy-induced nausea and vomiting in pediatric cancer patients, covering overview, influencing factors, assessment tools, and non-pharmacological interventions, aiming to provide insights for clinical prevention and intervention strategies targeting delayed chemotherapy-induced nausea and vomiting in pediatric patients.

To report a case of Stormorken syndrome(STRMK)diagnosed in adulthood and to study its clinical,pathological and genetic characteristics.The individual was a 31-year-old male whose symptoms started from childhood with epilepsy as initial symptom.He gradually developed progressive muscle weakness and atrophy.The patient's clinical data,laboratory results,and imaging studies were collected.A biopsy on the patient's left gastrocnemius muscle was conducted.Simultaneously,whole-exome sequencing on both the patient and his parents was performed.The physical examination of the patient showed short stature,proximal muscle weakness with lower limb predominance,accompanied by joint contracture and scoliosis.Abdominal CT examination revealed asplenia and magnetic resonance image(MRI)showed obvious fat infiltration in the bilateral lower limb muscle.Muscle biopsy was consistent with tubular-aggregate myopathy.Genetic test indicated that the patient had a c.326A>G(p.His109Arg)heterozygous mutation in the stromal interaction molecule 1(STIM1)gene,a known pathogenic mutation.This study further enables neurologists to gain a better understanding of this rare disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that seriously affects the health of the elderly, and the early diagnosis is crucial to slow down the progression of the disease. This review systematically examines the integrative applications of multimodal digital technologies in early AD identification, encompassing cognitive assessment, neuroimaging analysis, biomarker detection, and polygenic risk prediction, with the goal of enhancing diagnostic accuracy and operational efficiency. It was found that artificial intelligence-driven digital tools significantly improved screening efficiency by capturing subtle behavioral patterns and physiological signatures. Machine learning algorithms integrated with multimodal neuroimaging data optimize sensitivity in detecting structural brain abnormalities, while combinatorial analysis of digital biomarkers enables high-precision staging of AD pathology. Recent advancements highlight the critical role of digital technologies in facilitating multimodal biomarker integration and streamlining diagnostic workflows. The convergence of these innovative approaches provides a robust framework for early AD screening, offering patients accessible and efficient diagnostic pathways.

The incidence of delayed chemotherapy-induced nausea and vomiting is relatively high among pediatric cancer patients. Nausea and vomiting symptoms can exacerbate physical and psychological burdens, potentially leading to aversion and reduced treatment adherence. This paper analyzes and summarizes delayed chemotherapy-induced nausea and vomiting in pediatric cancer patients, covering overview, influencing factors, assessment tools, and non-pharmacological interventions, aiming to provide insights for clinical prevention and intervention strategies targeting delayed chemotherapy-induced nausea and vomiting in pediatric patients.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that seriously affects the health of the elderly, and the early diagnosis is crucial to slow down the progression of the disease. This review systematically examines the integrative applications of multimodal digital technologies in early AD identification, encompassing cognitive assessment, neuroimaging analysis, biomarker detection, and polygenic risk prediction, with the goal of enhancing diagnostic accuracy and operational efficiency. It was found that artificial intelligence-driven digital tools significantly improved screening efficiency by capturing subtle behavioral patterns and physiological signatures. Machine learning algorithms integrated with multimodal neuroimaging data optimize sensitivity in detecting structural brain abnormalities, while combinatorial analysis of digital biomarkers enables high-precision staging of AD pathology. Recent advancements highlight the critical role of digital technologies in facilitating multimodal biomarker integration and streamlining diagnostic workflows. The convergence of these innovative approaches provides a robust framework for early AD screening, offering patients accessible and efficient diagnostic pathways.

OBJECTIVE To investigate the epidemiological characteristics of respiratory human adenovirus(H AdV)infections in hospitalized children in Ningbo,and to provide data for formulating infection prevention and control strategies for HAdV.METHODS A total of 65 022 children hospitalized with respiratory infections at the Women and Children's Hospital of Ningbo University from Jul.2019 to Dec.2024 were selected as the study sub-jects.Multiple reverse transcription-polymerase chain reaction(RT-PCR)and capillary electrophoresis were used to detect 11 non-bacterial pathogens.Basic and clinical information of the children was collected for analysis.RESULTS A total of 65 022 specimens were tested,with 4 292 cases tested positive for HAdV positivity,yielding a positive rate of 6.60％.The lowest positive rate was observed in 2023(3.22％),while the highest was in 2024(13.97％).Compared to the years 2019-2023,the overall HAdV positive rate was high in 2024,peaking at 26.80％in Jun.,indicating an outbreak.The total HAdV positive rate was higher in boys(6.82％)than in girls(6.32％)(P=0.006).The highest HAdV positive rate was observed in the 2 to＜6 age group(9.00％),while the lowest was in the 0 to＜1 age group(2.33％).Among the HAdV-positive specimens,2 658 cases(61.93％)were single infections,and 1 634 cases(38.07％)were co-infections.The non-bacterial respiratory pathogens with the highest co-infection rates were human rhinovirus(34.09％),Mycoplasma pneumoniae(20.44％)and human parainfluenza virus(5.75％).CONCLUSIONS A n outbreak of HAdV infections is observed among hospitalized children in Ningbo in 2024.Higher positive rates are found in boys aged 2 to＜6 years,with a certain proportion of co-infections.

To report a case of Stormorken syndrome(STRMK)diagnosed in adulthood and to study its clinical,pathological and genetic characteristics.The individual was a 31-year-old male whose symptoms started from childhood with epilepsy as initial symptom.He gradually developed progressive muscle weakness and atrophy.The patient's clinical data,laboratory results,and imaging studies were collected.A biopsy on the patient's left gastrocnemius muscle was conducted.Simultaneously,whole-exome sequencing on both the patient and his parents was performed.The physical examination of the patient showed short stature,proximal muscle weakness with lower limb predominance,accompanied by joint contracture and scoliosis.Abdominal CT examination revealed asplenia and magnetic resonance image(MRI)showed obvious fat infiltration in the bilateral lower limb muscle.Muscle biopsy was consistent with tubular-aggregate myopathy.Genetic test indicated that the patient had a c.326A>G(p.His109Arg)heterozygous mutation in the stromal interaction molecule 1(STIM1)gene,a known pathogenic mutation.This study further enables neurologists to gain a better understanding of this rare disease.

TAFRO syndrome is an idiopathic systemic inflammatory disease that overlaps with idiopathic multicentric Castleman disease (iMCD). The clinical features of TAFRO syndrome include thrombocytopenia (T), anasarca (A), fever (F), reticulin fibrosis/renal insufficiency (R) and organomegaly (O). The paper reports a special clinical subtype of iMCD—TAFRO syndrome in a patient, manifested as multiple-system involvement including serous effusion (ascites), fever, thrombocytopenia, anemia, multiple lymphadenopathies, pancreatitis and renal insufficiency. Bone marrow biopsy pathology showed active bone marrow hyperplasia. Renal biopsy revealed renal thrombotic microangiopathy, acute renal tubular interstitial injury combined with chronic lesions. Lymph node biopsy demonstrated lymphoproliferative lesions consistent with Castleman disease (hyaline vascular type). Following diagnosis, glucocorticoids, tacrolimus, rituximab and lenalidomide were administered, resulting in significant symptomatic improvement: ascites disappeared, and urinary findings, erythrocyte counts, renal function and hematological indexes normalized. The paper describes the patient's clinical manifestations, diagnosis and treatment process, and prognosis, and reviews relevant literature, to improve clinicians' understanding of this rare disease.

Objective:This study aims to explore the risk factors of Multi-center Investigator-Initiated Clinical Trials (MIITs), and provide a basis for developing study management strategies.Methods:The original draft of MIIT risk evaluation factors was determined through literature analysis and internal discussions of the research group. Thirty five experts were consulted using the Delphi method, and then the MIIT risk evaluation elements were finally determined. Analytic Hierarchy Process (AHP) was used to calculate the weights of each index.Results:The recovery rates of both rounds of expert consultation were 100%, and the degree of expert authority was 0.856. The study ultimately formed an MIIT risk evaluation framework consisting of three first-class indexes, twelve second-class indexes, and thirty-eight third-class indexes. The weight values of the first-class indexes (start-up period, implementation period, and summary period) were 0.209 8, 0.710 6, and 0.079 6, respectively. Meanwhile, the weight values of the second-class indexes and third-class indexes were determined.Conclusions:Exploring the risk evaluation factors of MIIT provides valuable insights into identifying critical risk points, which, in turn, contributes to enhancing MIIT management efficiency, research progress, and quality.

Objective:This study aims to construct an evaluation index system suitable for the core competency of Clinical Research Coordinators (CRCs) in Investigator-Initiated Trials (IITs) in China.Methods:This study developed a system framework through the Onion Model, literature research, and expert interviews, utilized the Delphi method to build the index system. and analyzed the weight of each indicator through the Analytic Hierarchy Process (AHP).Results:Four first-level indicators were basic knowledge (0.143), job skills (0.300 8), professional quality (0.483 9), and personality traits (0.072 3). Besides, 18 second-level indicators and 49 third-level indicators were developed through the Delphi method. According to the third round expert′s consultation, the average scores of all indexes were >3.50, the authoritative coefficient was 0.86, the coefficient of variation of each index was <0.30, and Kendall coefficients of concordance were 0.183~0.366 ( P<0.001). The consistency ratios of single-sort were<0.1, and the overall sort of all indexes was 0.043 7, which showed good logical reliability. Conclusions:This evaluation index system for Clinical Research Coordinators is of great scientific sense. It provides IIT-conducting investigators in institutions with a proficient assessment tool to help them find qualified and reliable CRCs.