Purpose: Rare diseases occur in <50 per 100000 people and require lifelong management. However, essential epidemiological data on such diseases are lacking, and a consecutive monitoring system across time and regions remains to be established. Standardized digital phenotypes are required to leverage an international data network for research on rare endocrine diseases. We developed digital phenotypes for rare endocrine diseases using the observational medical outcome partnership common data model. Materials and Methods: Digital phenotypes of three rare endocrine diseases (medullary thyroid cancer, hypoparathyroidism, pheochromocytoma/paraganglioma) were validated across three databases that use different vocabularies: Severance Hospital’s electronic health record from South Korea; IQVIA’s United Kingdom (UK) database for general practitioners; and IQVIA’s United States (US) hospital database for general hospitals. We estimated the performance of different digital phenotyping methods based on International Classification of Diseases (ICD)-10 in the UK and the US or systematized nomenclature of medicine clinical terms (SNOMED CT) in Korea. Results: The positive predictive value of digital phenotyping was higher using SNOMED CT-based phenotyping than ICD-10-based phenotyping for all three diseases in Korea (e.g., pheochromocytoma/paraganglioma: ICD-10, 58%–62%; SNOMED CT, 89%). Estimated incidence rates by digital phenotyping were as follows: medullary thyroid cancer, 0.34–2.07 (Korea), 0.13–0.30 (US); hypoparathyroidism, 0.40–1.20 (Korea), 0.59–1.01 (US), 0.00–1.78 (UK); and pheochromocytoma/paraganglioma, 0.95–1.67 (Korea), 0.35–0.77 (US), 0.00–0.49 (UK). Conclusion Our findings demonstrate the feasibility of developing digital phenotyping of rare endocrine diseases and highlight the importance of implementing SNOMED CT in routine clinical practice to provide granularity for research.

Purpose: Rare diseases occur in <50 per 100000 people and require lifelong management. However, essential epidemiological data on such diseases are lacking, and a consecutive monitoring system across time and regions remains to be established. Standardized digital phenotypes are required to leverage an international data network for research on rare endocrine diseases. We developed digital phenotypes for rare endocrine diseases using the observational medical outcome partnership common data model. Materials and Methods: Digital phenotypes of three rare endocrine diseases (medullary thyroid cancer, hypoparathyroidism, pheochromocytoma/paraganglioma) were validated across three databases that use different vocabularies: Severance Hospital’s electronic health record from South Korea; IQVIA’s United Kingdom (UK) database for general practitioners; and IQVIA’s United States (US) hospital database for general hospitals. We estimated the performance of different digital phenotyping methods based on International Classification of Diseases (ICD)-10 in the UK and the US or systematized nomenclature of medicine clinical terms (SNOMED CT) in Korea. Results: The positive predictive value of digital phenotyping was higher using SNOMED CT-based phenotyping than ICD-10-based phenotyping for all three diseases in Korea (e.g., pheochromocytoma/paraganglioma: ICD-10, 58%–62%; SNOMED CT, 89%). Estimated incidence rates by digital phenotyping were as follows: medullary thyroid cancer, 0.34–2.07 (Korea), 0.13–0.30 (US); hypoparathyroidism, 0.40–1.20 (Korea), 0.59–1.01 (US), 0.00–1.78 (UK); and pheochromocytoma/paraganglioma, 0.95–1.67 (Korea), 0.35–0.77 (US), 0.00–0.49 (UK). Conclusion Our findings demonstrate the feasibility of developing digital phenotyping of rare endocrine diseases and highlight the importance of implementing SNOMED CT in routine clinical practice to provide granularity for research.

Purpose: Rare diseases occur in <50 per 100000 people and require lifelong management. However, essential epidemiological data on such diseases are lacking, and a consecutive monitoring system across time and regions remains to be established. Standardized digital phenotypes are required to leverage an international data network for research on rare endocrine diseases. We developed digital phenotypes for rare endocrine diseases using the observational medical outcome partnership common data model. Materials and Methods: Digital phenotypes of three rare endocrine diseases (medullary thyroid cancer, hypoparathyroidism, pheochromocytoma/paraganglioma) were validated across three databases that use different vocabularies: Severance Hospital’s electronic health record from South Korea; IQVIA’s United Kingdom (UK) database for general practitioners; and IQVIA’s United States (US) hospital database for general hospitals. We estimated the performance of different digital phenotyping methods based on International Classification of Diseases (ICD)-10 in the UK and the US or systematized nomenclature of medicine clinical terms (SNOMED CT) in Korea. Results: The positive predictive value of digital phenotyping was higher using SNOMED CT-based phenotyping than ICD-10-based phenotyping for all three diseases in Korea (e.g., pheochromocytoma/paraganglioma: ICD-10, 58%–62%; SNOMED CT, 89%). Estimated incidence rates by digital phenotyping were as follows: medullary thyroid cancer, 0.34–2.07 (Korea), 0.13–0.30 (US); hypoparathyroidism, 0.40–1.20 (Korea), 0.59–1.01 (US), 0.00–1.78 (UK); and pheochromocytoma/paraganglioma, 0.95–1.67 (Korea), 0.35–0.77 (US), 0.00–0.49 (UK). Conclusion Our findings demonstrate the feasibility of developing digital phenotyping of rare endocrine diseases and highlight the importance of implementing SNOMED CT in routine clinical practice to provide granularity for research.

Objective: To investigate the attention cognitive function and symptom correlations of school aged children with attention deficit hyperactivity disorder (ADHD)using event related potential (ERP) technology, so as to provide references for the early diagnosis of children with ADHD. Methods: A total of 52 school aged children diagnosed with ADHD at the outpatient department of the Third Affiliated Hospital of Zhengzhou University from September 2022 to September 2024 and 50 age /sex matched healthy controls were selected. The ERP experiment adopted the auditory Oddball task to conduct comparative analyses of the amplitude and latency of the mismatch negative(MMN) at the Fz, Cz, and Pz points of the scalp electrode and the P3a component respectively. The symptom assessment scales adopted the Swanson,Nolan,and Pelham-Ⅳ Rating Scale (SNAP-Ⅳ) and the Parent Symptom Questionnaire (PSQ), which were filled out by the parents. Spearman correlation analysis was used to analyze the correlation between ERP components and symptoms in schoolaged children with ADHD. Results: The latency of MMN components in the healthy control group on the Fz lead was (188.30±2.06)ms, and the amplitude was (-15.54±1.35)μV; the latency of the P3a component on the Pz lead was (312.82±7.80)ms, and the amplitude was (3.80±0.18)μV. The latency of MMN components in the ADHD group on the Fz lead was (188.94±1.39)ms, and the amplitude was (-14.78±1.40)μV; the latency of the P3a component on the Pz lead was (317.21±5.65)ms, and the amplitude was (3.70±0.13)μV. Compared with normal children, the MMN of children with ADHD had smaller amplitudes in the Fz and Cz leads, and the P3a had greater latency and smaller amplitudes in the Cz and Pz leads ( t =2.79,2.20；-2.04，-3.25；2.35,3.21， P <0.05). Correlation analysis showed that the latency of MMN in children with ADHD was positively correlated with the inattention score in the SNAP-Ⅳ( r =0.22), and the amplitude of MMN was negatively correlated with the inattention score in the SNAP-Ⅳ and the learning problem score in PSQ ( r = -0.26 , -0.34)( P <0.05). The latency of P3a was positively correlated with the scores of inattention in the SNAP-Ⅳ and the score of learning problems in the PSQ ( r =0.26 ,0.24); the amplitude of P3a was negatively correlated with the scores of attention deficit and hyperactivity/impulsivity in the SNAP-Ⅳ and the scores of learning problems and impulsivity/hyperactivity in the PSQ( r = -0.26 , -0.22, -0.25,-0.32)( P <0.05). Conclusions School aged ADHD children exhibit abnormal MMN/P3a components, indicating attention related cognitive dysfunction. Symptoms such as inattention, learning problems and hyperactivity/impulsivity in children with ADHD are related to abnormal components of MMN and P3a.

Purpose: Rare diseases occur in <50 per 100000 people and require lifelong management. However, essential epidemiological data on such diseases are lacking, and a consecutive monitoring system across time and regions remains to be established. Standardized digital phenotypes are required to leverage an international data network for research on rare endocrine diseases. We developed digital phenotypes for rare endocrine diseases using the observational medical outcome partnership common data model. Materials and Methods: Digital phenotypes of three rare endocrine diseases (medullary thyroid cancer, hypoparathyroidism, pheochromocytoma/paraganglioma) were validated across three databases that use different vocabularies: Severance Hospital’s electronic health record from South Korea; IQVIA’s United Kingdom (UK) database for general practitioners; and IQVIA’s United States (US) hospital database for general hospitals. We estimated the performance of different digital phenotyping methods based on International Classification of Diseases (ICD)-10 in the UK and the US or systematized nomenclature of medicine clinical terms (SNOMED CT) in Korea. Results: The positive predictive value of digital phenotyping was higher using SNOMED CT-based phenotyping than ICD-10-based phenotyping for all three diseases in Korea (e.g., pheochromocytoma/paraganglioma: ICD-10, 58%–62%; SNOMED CT, 89%). Estimated incidence rates by digital phenotyping were as follows: medullary thyroid cancer, 0.34–2.07 (Korea), 0.13–0.30 (US); hypoparathyroidism, 0.40–1.20 (Korea), 0.59–1.01 (US), 0.00–1.78 (UK); and pheochromocytoma/paraganglioma, 0.95–1.67 (Korea), 0.35–0.77 (US), 0.00–0.49 (UK). Conclusion Our findings demonstrate the feasibility of developing digital phenotyping of rare endocrine diseases and highlight the importance of implementing SNOMED CT in routine clinical practice to provide granularity for research.

Purpose: Rare diseases occur in <50 per 100000 people and require lifelong management. However, essential epidemiological data on such diseases are lacking, and a consecutive monitoring system across time and regions remains to be established. Standardized digital phenotypes are required to leverage an international data network for research on rare endocrine diseases. We developed digital phenotypes for rare endocrine diseases using the observational medical outcome partnership common data model. Materials and Methods: Digital phenotypes of three rare endocrine diseases (medullary thyroid cancer, hypoparathyroidism, pheochromocytoma/paraganglioma) were validated across three databases that use different vocabularies: Severance Hospital’s electronic health record from South Korea; IQVIA’s United Kingdom (UK) database for general practitioners; and IQVIA’s United States (US) hospital database for general hospitals. We estimated the performance of different digital phenotyping methods based on International Classification of Diseases (ICD)-10 in the UK and the US or systematized nomenclature of medicine clinical terms (SNOMED CT) in Korea. Results: The positive predictive value of digital phenotyping was higher using SNOMED CT-based phenotyping than ICD-10-based phenotyping for all three diseases in Korea (e.g., pheochromocytoma/paraganglioma: ICD-10, 58%–62%; SNOMED CT, 89%). Estimated incidence rates by digital phenotyping were as follows: medullary thyroid cancer, 0.34–2.07 (Korea), 0.13–0.30 (US); hypoparathyroidism, 0.40–1.20 (Korea), 0.59–1.01 (US), 0.00–1.78 (UK); and pheochromocytoma/paraganglioma, 0.95–1.67 (Korea), 0.35–0.77 (US), 0.00–0.49 (UK). Conclusion Our findings demonstrate the feasibility of developing digital phenotyping of rare endocrine diseases and highlight the importance of implementing SNOMED CT in routine clinical practice to provide granularity for research.

OBJECTIVE To explore the effect of iron sulfur cluster binding protein 1(ISCA1)mag-netic field on calcium inflow.METHODS ① A plasmid containing the ISCA1、Magneto 2.0 gene sequence,and an empty plasmid was prepared for lentivirus packaging,with all the three plasmids carrying the mCherry gene.The infection efficiency of lentiviruses was assessed using fluorescence microscopy.② The immunoprecipitation technique was employed to ascertain the interactions between ISCA1 and cryptochrome(CRY1)as well as CRY2 proteins.③ The technique of live cell calcium imaging was used to detect the intracellular calcium influx in cells exhibiting high levels of ISCA1 or Magneto 2.0 expression under the influence of a magnetic field(40 mT,0.1Hz,90%duty cycle).RESULTS ① Red fluorescence was observed by fluorescence microscopy,indicating successful transfection of lentivirus.② The exogenous ISCA1 proteins exhibited no affinity towards the endogenous CRY1 or CRY2 proteins.③ The green fluorescence intensity of the Magneto 2.0 group increased by(1.8±0.5)times compared to the pre-magnetic addition level,indicating a significant influx of calcium ions.However,there was no significant difference in the green fluorescence intensity between the ISCA1 group and control group before and after magnetic addition.CONCLUSION Cells with exogenously high expres-sion of ISCA1 do not elicit calcium influx and exhibit no discernible magnetic induction following stimula-tion by this magnetic field.

To summarize the nursing experience of hematopoietic stem cell transplantation for a child with monocytopenia and mycobacterium infection syndrome complicated with pulmonary alveolar proteinosis.The key aspects of nursing encompass the establishment of a multidisciplinary diagnostic and treatment team,as well as the enhancement of warehousing preparation.Fine nursing plays a pivotal role in infection prevention and control,while also promoting hematopoietic reconstruction.Vigilant monitoring of condition changes is crucial to proactively prevent cardiopulmonary failure.Moreover,an intensified management approach towards underlying diseases should be implemented alongside predictive nursing interventions.The utilization of precision medication plans allows for the observation of drug efficacy and adverse reactions.Narrative nursing serves as a foundation to alleviate the child's inner concems,while personalized follow-up plans ensure the continuity of high-quality care.With careful treatment and care,the child successfully underwent hematopoietic stem cell transplantation.After 41 days post-transplantation,the child was discharged from the hospital after a successful recovery.The follow-up after a month showed good progress.

Objective To investigate the development of follicles in polycystic ovary syndrome(PCOS)model rats treated with Xinjia Erjia Dihuang Tang and its possible mechanism.Methods Twenty-eight female SD rats with regular estrous cycle were selected and randomly divided into normal control group,model group,Chinese medicine group and Western medicine group,with 7 rats in each group.In addition to the normal control group,the other three groups were continuously given 0.1mg/(kg·d)of letrozole-carboxymethyl cellulose suspension to construct the PCOS rat model.Since the 22nd day,the traditional Chinese medicine group was given 5.268g/(kg·d)of Xinjia Erjia Dihuang Tang,the western medicine group was given 0.286mg/(kg·d)of ethinylestradiol cyproterone tablet,and the normal control group and model group were given 10ml/(kg·d)of distilled water.After 3 weeks,the ovarian coefficients of the rats in all groups were compared,and the morphological changes of the ovarian tissues of the rats in all groups were observed by hematoxylin-eosin staining.The serum hormones of the rats in all groups were detected by enzyme-linked immunosorbent assay,and the ovarian kisspeptin(Kp)and G-protein-coupled receptors(GPR54)protein expression levels were detected by Western blot.Results Compared with the normal control group,the follicles in the ovary of the model group showed more cystic dilatation and atresia,and the number of granular cell layers decreased,the ovarian coefficient of the model group was increased;Serum levels of testosterone(T),luteinizing hormone(LH)and Kp were increased in model group;Serum levels of follicle stimulating hormone(FSH)and estradiol(E2)and protein expressions of Kp and GPR54 in ovarian tissue of rats in the model group were significantly decreased(P<0.05).After treatment with Chinese medicine,compared with the model group,the number of follicles in the Chinese medicine group decreased,the layer number of granulosa cells increased,there were nearly mature follicles,and a small amount of corpus luteum existed,serum LH,T and Kp levels were decreased,serum FSH and E2 levels and ovarian Kp and GPR54 protein expressions were significantly increased(P<0.05).Conclusion The development of follicles in PCOS model rats was improved by the intervention of Xinjia Erjia Dihuang Tang.The therapeutic mechanism may be to affect the release of FSH and LH by regulating Kisspeptin/GPR54 system,so as to affect hormone content,adjust ovarian function,and improve follicle development and ovulation ability.

This paper reviews the main symptom clusters, assessment tools, influencing factors, intervention and prospect for the management of symptom clusters associated with chimeric antigen receptor T cell immunotherapy in adult patients with hematological malignancies, in order to provide references for medical staff to enhance the scientificity of symptom management and nursing service quality.