OBJECTIVE: To elucidate the epidemiological characteristics and genetic variant profile of Short-chain acyl-CoA dehydrogenase deficiency (SCADD) among newborns from Hainan Province and evaluate its significance within the local neonatal disease screening panel. METHODS: A total of 84 184 newborns born in Hainan Province from February to December 2024 were included. Tandem mass spectrometry (MS/MS) was employed to detect butyrylcarnitine (C4) and propionylcarnitine (C3) levels in dried blood spots. Screening thresholds were set at C4 > 0.43 μ mol/L and C4/C3 ratio > 0.28. Suspected cases underwent confirmatory testing via urinary ethylmalonic acid analysis by gas chromatography-mass spectrometry and whole-exome sequencing for ACADS gene variants. This study was approved by the Medial Ethics Committee of the hospital (Ethics No.: HNWCMC-2024-55). RESULTS: Six SCADD cases (male-to-female ratio = 1:1) were diagnosed, with all carrying compound heterozygous variants at two loci, yielding a prevalence of 7.13 per 100,000 live births. Four known ACADS gene variants were identified, with both c.322G>A and c.625G>A detected at a frequency of 41.7%. Regular follow-up (as of January 2026) revealed that all diagnosed cases have remained asymptomatic with normal growth and development. CONCLUSION The prevalence of SCADD among newborns in Hainan Province is relatively high, with c.322G>A and c.625G>A as the hotspot variants in the region. Given the absence of clinical phenotypes in all screen-detected cases during long-term follow-up, it is recommended to remove this condition from the routine neonatal screening program for this region to reduce unnecessary anxiety and medical cost.
Humans ; Infant, Newborn ; Neonatal Screening/methods* ; Female ; Male ; Lipid Metabolism, Inborn Errors/epidemiology* ; Acyl-CoA Dehydrogenase/genetics* ; China/epidemiology* ; Follow-Up Studies

OBJECTIVE

To describe in detail the research agenda-setting process of the Department of Health National Specialty Center for Eye Care with the guidance of the National Institute of Health (NIH) - Department of Clinical Epidemiology.

A research agenda technical working group (TWG) was organized to spearhead the research agenda setting, in collaboration and guidance of the NIH. After identifying relevant internal and external stakeholders, the TWG drafted a contextual map that served as an overarching framework. Research topics were obtained from the stakeholders and the TWG collated, reviewed and summarized prior to ranking them systematically. Each topic was prioritized through a weighted ranking system evaluating its feasibility, public health benefit, and resource/cost requirements. A final en banc session including the stakeholders was held to formalize the approval of the research agenda. An infographic was developed to serve as a visual guide for consultants and trainees in initiating research.

The TWG tallied 85 unique research topics from both the internal and external stakeholders. These topics encompassed a broad range of areas, including epidemiology, surgical, and medical management, health systems research, economic evaluations of interventions, and occupational/environmental factors.

The 2024-2027 research agenda of the Department of Health National Specialty Center for Eye Care was crafted, with the guidance of the NIH Department of Clinical Epidemiology. The goal was to improve the center's research output by aligning it with stakeholders thereby serving as a research benchmarking tool for the local ophthalmology community

OBJECTIVES: To analyze the disease burden of melanoma among middle-aged and elderly populations in China, and to predict the future trend. METHODS: Data from the Global Burden of Disease (GBD) 2021 were utilized to collect incidence and mortality rates of melanoma, disability-adjusted life years (DALYs), and corresponding age crude rates among the middle-aged and elderly population in China during 1990 and 2021. Additionally, the estimated annual percentage change (EAPC) was employed to assess the temporal trends. Age-period-cohort (APC) and Bayesian age-period-cohort (BAPC) models were utilized to compute age, period, and cohort effects on incidence and mortality rates of melanoma, as well as to predict future trends up to 2035. RESULTS: During 1990-2021, the incidence rate of melanoma for males was higher than that for females among the middle-aged and elderly population in China, and the overall incidence rate increased annually with an EAPC of 2.13 (1.90-2.36), while the overall mortality rate and DALY rate showed a declining trend with an EAPC of －0.28 (－0.41-－0.15) and －0.54 (－0.68-－0.41), respectively. The results of the APC model analysis revealed that age effects on both incidence and mortality rates of melanoma in China's middle-aged and elderly population were significant, with both increasing with age. Period and cohort effects showed an upward trend for incidence rates but a downward trend for mortality rates. Moreover, the period and cohort effects for mortality rates were not significant among females. In the BAPC prediction model, the number of incidences of melanoma in middle-aged and elderly people in China would increase dramatically. By 2035, the number of incidence cases is expected to reach approximately 9600 (males) and 10 300 (females), corresponding to an incidence rate of 2.66/10⁵ and 2.67/10⁵, respectively. The number of deaths is projected to be about 2600 (males) and 3500 (females) by 2035, corresponding to a mortality rate of 0.72/10⁵ and 0.91/10⁵, respectively. CONCLUSIONS The disease burden of melanoma among the middle-aged and elderly population in China remains substantial and is expected to increase over the next decade.
Humans ; Melanoma/mortality* ; China/epidemiology* ; Aged ; Middle Aged ; Male ; Female ; Incidence ; Disability-Adjusted Life Years ; Bayes Theorem ; Cost of Illness ; Skin Neoplasms/epidemiology*

OBJECTIVES: To analyze sex and age distribution of global disease burden of calcific aortic valve disease (CAVD) from 1990 to 2021. METHODS: CAVD data during 1990-2021 were obtained from the IHME website for Global Burden of Disease (GBD). The prevalence, mortality, years lived with disability (YLDs), and disability-adjusted life years (DALYs) were analyzed by gender and age groups. Joinpoint regression was used to calculate annual percentage change (APC) and average annual percentage change (AAPC). RESULTS: In 2021, there were 13.32 million CAVD patients and 142 000 deaths caused by CAVD globally. Age-standardized prevalence was higher in males (193.2/10⁵) than that in females (128.9/10⁵). Patients in 65-<85 age group accounted for 64.0% of total cases, while those ≥85 years old accounted for 16.1%. From 1990 to 2021, prevalence increased in both sexes with an AAPC of 0.72% for males and 0.57% for females, respectively. Prevalence grew fastest from 2000 to 2010, slowed thereafter, and declined from 2015 to 2021. In <65 years old, the mortality of males was 2.4 times higher than that of females, while in ≥85 years old, mortality of females (117.3/10⁵) exceeded that of males (99.1/10⁵). YLD rates increased with age, and were higher in males for all age groups. DALY rates decreased overall but increased in ≥85 years old, with a greater increase in females. CONCLUSIONS There are significant gender and age disparities in global disease burden of CAVD, with the elderly, especially super-elderly females deserving particular attention. It is recommended to develop personalized intervention strategies for these populations.
Humans ; Male ; Female ; Aged ; Calcinosis/mortality* ; Prevalence ; Global Burden of Disease ; Aged, 80 and over ; Middle Aged ; Aortic Valve/pathology* ; Aortic Valve Stenosis/epidemiology* ; Age Distribution ; Adult ; Disability-Adjusted Life Years ; Sex Distribution ; Global Health ; Aortic Valve Disease/epidemiology* ; Sex Factors

OBJECTIVES: To analyze the global disease burden of cervical cancer and the association between screening coverage and the quality of disease management. METHODS: The data of global burden of cervical cancer 2021 and the data of cervical cancer screening 2019 were obtained from IHME Global Burden of Disease (GBD) and the WHO global health observatory, respectively. The age-standardized disease burden index was calculated, the quality of care index (QCI) was determined with principal component analysis, and the correlation between QCI and cervical cancer screening coverage was examined with linear regression analysis by regions and populations. RESULTS: The burden of cervical cancer and the quality of management exhibited significant variability across countries with differing levels of social development. The indicators of cervical cancer burden in China were close to the average level of countries with higher socio-demographic index (SDI). The global QCI was 22.22 (10.50, 35.43), and that of China was 26.30. The global screening coverage rate for cervical cancer was 42% (12%, 86%) and that in China was 31%. After adjusting for the social development level of countries, the coverage level of cervical cancer screening was associated with QCI (β=0.27, P<0.01), with no difference between low and high SDI countries (P>0.05). The association was significantly stronger among 25-30 years old women (β=1.48, P<0.05). CONCLUSIONS There are discrepancies in both the disease burden of cervical cancer and the quality of disease management among countries with different socioeconomic levels, and there is still considerable room for improvement in China. Expanding coverage of cervical cancer screening may be an effective strategy to enhance the management quality of cervical cancer, particularly among younger women where the screening benefits are most pronounced.
Humans ; Uterine Cervical Neoplasms/prevention & control* ; Female ; Early Detection of Cancer ; Global Burden of Disease ; China/epidemiology* ; Mass Screening ; Quality of Health Care ; Disease Management ; Adult ; Middle Aged

OBJECTIVES: To create a mixed valvular heart disease (MVHD)-related age-adjusted comorbidity index (MVACI) model for predicting mortality risk of patients with MVHD. METHODS: A total of 4080 patients with moderate or severe MVHD in the China-VHD study were included. The primary endpoint was 2-year all-cause mortality. A MVACI model prediction model was constructed based on the mortality risk factors identified by univariate and multivariate Cox regression analysis. Restricted cubic splines were used to assess the relationship between MVACI scores and 2-year all-cause mortality. The optimal threshold, determined by the maximum Youden index from receiver operator characteristic (ROC) curve analysis, was used to stratify patients. Kaplan-Meier method was used to calculate 2-year all-cause mortality and compared using the Log-rank test. Univariate and multivariate Cox proportional hazards models were employed to calculate hazard ratios (HR) and 95% confidence intervals (CI), evaluating the association between MVACI scores and mortality. Paired ROC curves were used to compare the discriminative ability of MVACI scores with the European System for Cardiac Operative Risk Evaluation Ⅱ(EuroSCORE Ⅱ) or the age-adjusted Charlson comorbidity index (ACCI) in predicting 2-year clinical outcomes, while calibration curves assessed the calibration of these models. Internal validation was performed using the Bootstrap method. Subgroup analyses were conducted based on etiology, treatment strategies, and disease severity. RESULTS: Multivariate analysis identified the following variables independently associated with 2-year all-cause mortality in patients: pulmonary hypertension, myocardiopathy, heart failure, low body weight (body mass index <18.5 kg/m²), anaemia, hypoalbuminemia, renal insufficiency, cancer, New York Heart Association (NYHA) class and age. The score was independently associated with the risk of all-cause mortality, and exhibited good discrimination (AUC=0.777, 95%CI: 0.755-0.799) and calibration (Brier score 0.062), with significantly better predictive performance than EuroSCORE Ⅱ or ACCI (both adjusted P<0.01). The internal validation showed that the MVACI model's predicted probability of 2-year all-cause mortality was generally consistent with the actual probability. The AUCs for predicting all-cause mortality risk were all above 0.750, and those for predicting adverse events were all above 0.630. The prognostic value of the score remained consistent in patients regardless of their etiology, therapeutic option, and disease severity. CONCLUSIONS The MVACI was constructed in this study based on age and comorbidities, and can be used for mortality risk prediction and risk stratification of MVHD patients. It is a simple algorithmic index and easy to use.
Humans ; Prognosis ; Comorbidity ; Heart Valve Diseases/epidemiology* ; Female ; Male ; Middle Aged ; Aged ; Proportional Hazards Models ; Risk Factors ; China/epidemiology* ; Age Factors ; Risk Assessment ; Adult ; ROC Curve

OBJECTIVES: To analyze the association between biological aging markers (phenotypic age and phenotypic age acceleration) and valvular heart diseases. METHODS: Research subjects who met the inclusion and exclusion criteria were selected from the UK Biobank from 2006 to 2010. The phenotypic age and phenotypic age acceleration were calculated. Cox multivariate analysis was used to examine the relationship between the aging markers and valvular heart diseases. Sensitivity analysis was conducted by removing missing values and subgroup analysis. The predictive accuracy of phenotypic age and phenotypic age acceleration for valvular heart diseases was analyzed using receiver operating characteristic (ROC) curves, and a clinical decision curve was generated based on logistic regression. RESULTS: A total of 411 687 subjects were included in the study, among whom there were 14 258 patients with valvular heart diseases. The overall median follow-up time was 12.80 years, the median follow-up time for patients with non-rheumatic aortic valve diseases (n=5238), non-rheumatic mitral valve diseases (n=4558), and non-rheumatic tricuspid valve diseases (n=411) were 12.82 years, 12.83 years and 12.84 years, respectively. After adjusting for demographic factors (gender, race, education, Townsend deprivation index), anthropometric factors (body mass index), lifestyle factors (smoking, alcohol consumption, Dietary Approaches to Stop Hypertension score), hypertension and hyperlipidemia, Cox multivariate analysis showed phenotypic age and phenotypic age acceleration were independent risk factors for valvular heart diseases, including non-rheumatic aortic valve diseases, non-rheumatic mitral valve diseases, and non-rheumatic tricuspid valve diseases (phenotypic age: corrected HR=1.04, P<0.01; phenotypic age acceleration: corrected HR=1.03, P<0.01), which was also confirmed by sensitivity analysis. ROC curves and clinical decision curves demonstrated that compared with the phenotypic age acceleration, phenotypic age had higher accuracy (the areas and the curves were 0.721 and 0.599) and higher net benefit in predicting valvular heart diseases. Moreover, compared with a single indicator, the combination of the two indicators had higher accuracy (the area under the curve was 0.725) and higher net benefit. CONCLUSIONS Phenotypic age and phenotypic age acceleration,as markers of biological aging, are independent risk factors for valvular heart diseases. Compared with phenotypic age acceleration, phenotypic age has a greater advantage in predicting valvular heart diseases. Overall, the combination of the two indicators offers a more effective approach for predicting valvular heart diseases.
Humans ; Male ; Female ; Heart Valve Diseases/epidemiology* ; Middle Aged ; Aged ; Aging ; Adult ; Biomarkers ; Phenotype ; Risk Factors ; Aged, 80 and over

With the clinical generalization and popularization of transcatheter aortic valve replacement (TAVR), cerebrovascular events related to TAVR occur more frequently, which significantly impairs neurocognitive function, increases mortality, and seriously affects prognosis and quality of life in these patients. However, the reported incidence rates of TAVR-related stroke differ in literature due to inconsistent diagnostic criteria. According to the onset time, TAVR-related stroke can be divided into acute (≤24 h), subacute (24 h-30 d), early (31 d-1 year) and late (>1 year) types, and the cause of stroke generally varies according to the onset time. Both surgical (balloon aortic valvuloplasty, types of transcatheter heart valve, alternative access) and non-surgical (valvular calcium burden, bicuspid aortic valve, subclinical leaflet thrombosis, postoperative new-onset atrial fibrillation) can be related to the occurrence of TAVR-related stroke. Postprocedural monitoring, postprocedural antithrombotic therapy, and cerebral embolic protection devices are important for the prevention of TAVR-related stoke. This article reviews the research progress on TAVR-related stroke, focusing on its epidemiology, risk factors and preventive measures, aiming to provide reference for the clinical management of stroke in TAVR.
Humans ; Transcatheter Aortic Valve Replacement/adverse effects* ; Stroke/epidemiology* ; Postoperative Complications/etiology* ; Aortic Valve Stenosis/surgery* ; Risk Factors

OBJECTIVES: To explore the association between Chinese visceral adiposity index (CVAI) and the risk of nephrolithiasis. METHODS: This cross-sectional study analyzed data from 78 438 Chinese adults who underwent ultrasound examinations during health screening at the Health Examination Center of Affiliated Hospital of Yangzhou University. Participants were divided into quartiles (Q1-Q4 groups) based on CVAI. Multivariate logistic regression models were utilized to evaluate the association between CVAI and nephrolithiasis risk, followed by subgroup analyses to further explore potential relationships. The performance of CVAI in predicting the risk of nephrolithiasis was evaluated using receiver operating characteristic (ROC) curves. RESULTS: Increased CVAI was significantly associated with a higher risk of nephrolithiasis, with prevalence rising from 3.36% in the Q1 group to 10.67% in the Q4 group (P<0.01). In adjusted models, CVAI was positively correlated with the prevalence rate of nephrolithiasis (OR=1.002, 95%CI: 1.001-1.004, P<0.01). The risks of nephrolithiasis in the Q2, Q3, and Q4 groups were 1.196-fold (95%CI: 1.069-1.338, P<0.01), 1.260-fold (95%CI: 1.109-1.433, P<0.01), and 1.316-fold (95%CI: 1.125-1.539, P<0.01) higher than in the Q1 group, respectively. Subgroup analysis revealed that CVAI was positively associated with the risk of nephrolithiasis in male participants, individuals aged <60 years, the hypertension group, populations with or without diabetes mellitus, and the normal body mass index subgroup. Genders and age had an interaction effect on the correlation between CVAI and the risk of nephrolithiasis development (both P<0.05). The ROC curve analysis demonstrated that CVAI exhibited superior predictive efficacy compared to waist circumference, body mass index, visceral adiposity index, weight-adjusted waist index, cardiometabolic index and body shape index, with an area under the curve of 0.622. CONCLUSIONS In Chinese adults, CVAI is positively associated with the risk of nephrolithiasis development, which may serve as a potential predictive marker for nephrolithiasis.
Humans ; Nephrolithiasis/etiology* ; Male ; Female ; Middle Aged ; Cross-Sectional Studies ; Adult ; Intra-Abdominal Fat ; Risk Factors ; China/epidemiology* ; Adiposity ; Aged ; Logistic Models ; Obesity, Abdominal/epidemiology* ; East Asian People

OBJECTIVES: To analyze the multimorbidity patterns and core diseases among hospitalized patients in different age groups and to explore the impacts of multimorbidity patterns on hospitalization costs. METHODS: Electronic medical records of adult inpatients (aged ≥18 years) from Ningbo Medical Center Lihuili Hospital between January 1, 2018, and June 30, 2023 were collected. The multimorbidity status involving 53 specific diseases was analyzed across different age groups. Association rule mining was used to identify common multimorbidity patterns. Complex network analysis was used to identify core diseases within the multimorbidity networks. Generalized estimating equations (GEE) were used to analyze the impact of different multimorbidity patterns on hospitalization costs. RESULTS: The prevalence of multimorbidity among the 359 402 adult inpatients was 38.51%, with higher rates observed in males (43.60%) and elderly patients (58.29%). Association rule mining identified 15 common multimorbidity patterns, which exhibited differences across age groups. The most prevalent multimorbidity pattern overall was "diabetes→hypertension" (support=7.04%, confidence=62.17%, lift=2.17). In the young adult group, the most prevalent pattern was "dyslipidemia→chronic liver disease" (support=1.19%, confidence=53.17%, lift=6.04). In the middle-aged group, it was "diabetes→hypertension" (support=4.84%, confidence=50.28%, lift=2.15). In the elderly group, it was "coronary heart disease, diabetes→hypertension" (support=2.38%, confidence=77.43%, lift=1.63). Complex network analysis revealed that the core diseases within multimorbidity networks differed across age groups. The core disease identified in the young adult group was chronic liver disease (degree centrality=50, betweenness centrality=0.055, closeness centrality=0.963). Core diseases in the middle-aged group included hypertension, chronic liver disease, and diabetes (all with degree centrality=52, betweenness centrality=0.022, closeness centrality=1.000). Core diseases in the elderly group comprised hypertension, diabetes, malignant tumors, chronic liver disease, thyroid disease, anemia, and arrhythmia (all with degree centrality=52, betweenness centrality=0.009, closeness centrality=1.000). Generalized estimating equations analysis indicated that, most multimorbidity patterns were significantly associated with increased hospitalization costs. However, the magnitude of cost increase varied across different multimorbidity patterns. Specifically, hospitalization costs for patients with patterns such as "heart failure→hypertension", "stroke→hypertension", "malignant tumor, diabetes→hypertension", "stroke, diabetes→hypertension", and "diabetes, heart failure→hypertension" were more than double those of patients without any target diseases. CONCLUSIONS Multimorbidity patterns and core diseases among hospitalized patients differ significantly across age groups, and different patterns exert varying impacts on hospitalization costs. These findings underscore the necessity for age-stratified and multimorbidity pattern specific management strategies.
Humans ; Multimorbidity ; Male ; Hospitalization/economics* ; Female ; Aged ; Middle Aged ; Adult ; Age Factors ; Young Adult ; Adolescent ; Diabetes Mellitus/epidemiology* ; Electronic Health Records ; Aged, 80 and over ; Hospital Costs ; China/epidemiology* ; Hypertension/economics* ; Liver Diseases/epidemiology*