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.

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 analyze the effect of sample hemolysis on ELISA test results in blood screening laboratory, so as to determine the acceptable tolerance of hemolysis specific to laboratory test items and detection system, and provide reference for the formulation of tolerance standard of sample hemolysis. 【Methods】 Negative and weakly positive (S/CO was about 2) samples with different hemolysis degrees were tested by several commonly used domestic reagents for HBsAg, HIV Ag/Ab, anti-HCV and anti-TP, respectively. The effects of various degrees of hemolysis on the test results of negative and weakly positive samples for each item were analyzed. 【Results】 1) Hemolysis had no effect on the test results (reactive/non-reactive) of negative and weakly positive samples for HBsAg, anti-HCV and anti-TP ELISA items; 2) Hemolysis affected the test results (reactive/non-reactive) of negative and weakly positive samples for HIV Ag/Ab ELISA item. A tolerance of Hb 2 g/L was taken as the acceptable hemolysis degree for HIV Ag/Ab ELISA item. 【Conclusion】 In this study, the acceptable tolerance of hemolytic samples for corresponding test items and detection system in our laboratory were determined. The influence of hemolysis on ELISA test result is related to the reagent, equipment, environment and other factors, therefore the acceptable tolerance of hemolysis should be determined scientifically and reasonably based on the specific evaluation of each laboratory.

Objective:To analyze the genetic mutation characteristics of glucose-6-phosphate dehydrogenase (G6PD) deficiency among infants in Kunming.Methods:A total of 15 533 infants (7 994 males and 7 539 females) born in Kunming from January 1, 2018, to December 31, 2020, with an age range of 2 to 44 days, were selected. G6PD enzyme activity and gene mutation types were detected using fluorescence quantitative analysis, multicolor melting curve analysis (MMCA), and Sanger sequencing. Droplet digital PCR (ddPCR) was used for quantitative analysis of a newly identified variant family to determine the mutant allele proportion in family members. Meanwhile,the protein structure model and pathogenicity prediction of the novel variant were analyzed.Data analysis was conducted using SPSS 26.0. Specifically, chi-square tests were used for the detection rates of G6PD enzyme activity and gene mutations between different genders. One-way analysis of variance (ANOVA) was used for the comparison of enzyme activity among different mutation types.Results:Among 15 533 infants, 143 cases (129 males and 14 females) were tested positive for G6PD activity, with a detection rate of 0.92% (143/15 533). The difference in detection rates between males and females was statistically significant (χ 2=96.76, P<0.001). Out of 89 enzyme activity-positive cases (83 males and 6 females) underwent genetic testing, 77 (72 males and 5 females) were detected by MMCAand other 12 negative samples were underwent further Sanger sequencing, revealing mutations in 6 samples, all of which were males. Among the 83 individuals with gene mutations, 78 had heterozygous mutations, 1 had a homozygous mutation, and 4 had compound heterozygous mutations. A total of 12 mutation types were detected, with G6PD c.487G>A, c.1024C>T, c.1388G>A, and c.1376G>T being the most common, accounting for 74.70% (62/83) of all mutation types. The average G6PD enzyme activity of c.1376G>T was the lowest, and the differences were statistically significant compared to the average enzyme activity of the other three mutations ( P<0.05). One male infant with a newly identified G6PD c.242G>C mutation was detected, predicted to be pathogenic. ddPCR confirmed that the mother of the affected child was a c.242G>C mutant chimera, with a chimera proportion of 6.66%. Conclusions:In the Kunming region, the predominant G6PD deficiency gene mutation is c.487G>A, with the detection of a novel G6PD c.242G>C mutation. The application of ddPCR technology can assist in detecting the proportion of mutation chimeras.

This study was to investigate the relationship between spring pollen distribution concentration, species and the detection results of air-borne pollen allergens in Taiyuan City, Shanxi Province during March to May 2022 and March to May 2023.A retrospective study was conducted in the Otorhinolaryngology Head and Neck Surgery Clinic of the First Hospital of Shanxi Medical University.Pollen particles will be monitored by gravity sedimentation method on the roof of the outpatient department of the First Hospital of Shanxi Medical University in downtown Taiyuan from March to May 2022-2023, and pollen species and quantity will be observed and recorded under an optical microscope.The air-borne pollen allergen detection results of all allergic rhinitis patients in the otolaryngology Head and Neck surgery Department of the First Hospital of Shanxi Medical University were extracted from the relevant outpatient system. SPSS software and Pearson correlation analysis were used to compare the correlation between the allergens and the dominant air-borne pollen monitoring results. Results are as follows: (1)A total of 18 species of spring pollen in Taiyuan City were monitored in 2022-2023, with 101 177.5 grains, and the dominant airborne pollen was poplar (16.69%) and pine (29.06%) pollen. The pollen of poplar (11.96%), elm (7.89%) and cypress (8.68%) were dominant in early spring; Pine (25.16%) pollen predominated in late spring. The two peaks of pollen dispersal in Taiyuan were in late March (15 479 grains) and early and mid May (15 094/15 343 grains).(2) The positive rates of allergens in serum specific IgE detection were: wormwood (46%, 248/541 cases), tree combination (26%, 143/541 cases), ragweed (19%, 101/541 cases), humulus scandens (9%, 49/541 cases).(3)There was a linear positive correlation between the positive rate of air-borne pollen allergens in allergic rhinitis patients in the Department of Otolaryngology Head and Neck Surgery in the First Hospital of Shanxi Medical University and the dominant air-borne pollen concentration in the same period ( P<0.05, r=0.999). In conclusion, two spring pollen dispersal peaks were formed in late March and early to mid May in Taiyuan City, and the dominant air-borne pollens were poplar and pine pollens. The positive rate of air borne pollen allergen sIgE showed that wormwood allergy was the highest.There was a positive correlation between the concentration of air-borne pollen and the positive rate of air-borne pollen allergens in patients with allergic rhinitis in the Department of otorhinolaryngology and head and neck surgery in Taiyuan in 2022 and 2023.The monitoring of pollen distribution in spring can provide an important scientific basis for clinical workers to formulate prevention and treatment plans for patients with allergic rhinitis in the season, and provide data reference for the epidemiological investigation of allergic diseases in Taiyuan in the future.

Objective Hypertriglyceridemic waist(HW),hypertriglyceridemic waist-to-height ratio(HWHtR),and waist-to-hip ratio(WHR)have been shown to be indicators of cardiometabolic risk factors.However,it is not clear which indicator is more suitable for children and adolescents.We aimed to investigate the relationship between HW,HWHtR,WHR,and cardiovascular risk factors clustering to determine the best screening tools for cardiometabolic risk in children and adolescents. Methods This was a national cross-sectional study.Anthropometric and biochemical variables were assessed in approximately 70,000 participants aged 6-18 years from seven provinces in China.Demographics,physical activity,dietary intake,and family history of chronic diseases were obtained through questionnaires.ANOVA,x2 and logistic regression analysis was conducted. Results A significant sex difference was observed for HWHtR and WHR,but not for HW phenotype.The risk of cardiometabolic health risk factor clustering with HW phenotype or the HWHtR phenotype was significantly higher than that with the non-HW or non-HWHtR phenotypes among children and adolescents(HW:OR = 12.22,95%CI:9.54-15.67;HWHtR:OR = 9.70,95%CI:6.93-13.58).Compared with the HW and HWHtR phenotypes,the association between risk of cardiometabolic health risk factors(CHRF)clustering and high WHR was much weaker and not significant(WHR:OR = 1.14,95%CI:0.97-1.34). Conclusion Compared with HWHtR and WHR,the HW phenotype is a more convenient indicator with higher applicability to screen children and adolescents for cardiovascular risk factors.

Objective The study aimed to investigate the impact of rare earth elements(REEs)exposure on pregnancy outcomes of in vitro fertilization-embryo transfer(IVF-ET)by analyzing samples from spouses. Methods A total of 141 couples were included.Blood and follicular fluid from the wives and semen plasma from the husbands,were analyzed for REEs using inductively coupled plasma mass spectrometry(ICP-MS).Spearman's correlation coefficients and the Mann-Whitney U test were used to assess correlations and compare REE concentrations among three types of samples,respectively.Logistic models were utilized to estimate the individual REE effect on IVF-ET outcomes,while BKMR and WQS models explored the mixture of REE interaction effects on IVF-ET outcomes. Results Higher La concentration in semen(median 0.089 ng/mL,P=0.03)was associated with a lower fertilization rate.However,this effect was not observed after artificial selection intervention through intracytoplasmic sperm injection(ICSI)(P=0.27).In semen,the REEs mixture did not exhibit any significant association with clinical pregnancy. Conclusion Our study revealed a potential association between high La exposure in semen and a decline in fertilization rate,but not clinical pregnancy rate.This is the first to report REEs concentrations in follicular fluid with La,Ce,Pr,and Nd found at significantly lower concentrations than in serum,suggesting that these four REEs may not accumulate in the female reproductive system.However,at the current exposure levels,mixed REEs exposure did not exhibit reproductive toxicity.