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Research on Cross-Population Health Trajectory Evolution and Multi-Scenario Disease Phenotype Prediction Based on Real-World Medical Big Data

Research on Cross-Population Health Trajectory Evolution and Multi-Scenario Disease Phenotype Prediction Based on Real-World Medical Big Data

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600123458
Enrollment
Unknown
Registered
2026-04-27
Start date
2026-05-01
Completion date
Unknown
Last updated
2026-05-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

DiabetesIschemic heart disease / heart failureCerebrovascular disease / strokeMalignant tumor (or Malignancy)HypertensionChronic liver disease / cirrhosisChronic kidney diseaseAll-cause mortality

Interventions

Biological Age Calculation Group:None

Sponsors

Jinshan Hosptial of Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Cohort A (Healthy Population Validation and Transfer Learning Set) Basic Information: Age between 18–80 years, any gender. Time Window: Baseline physical examination data generated between July 1, 2016, and December 31, 2020, with a follow-up observation period of >=5 years. Health Requirements: No history of the following 7 major chronic diseases at baseline (based on ICD-10 codes or medical history records): Diabetes (E10–E14), Ischemic Heart Disease/Heart Failure (I20–I25, I50), Cerebrovascular Disease/Stroke (I60–I64), Malignant Tumors (C00–C97), Hypertension (I10–I15), Chronic Liver Disease/Cirrhosis (K70–K77), Chronic Kidney Disease (N18). Data Quantification Criteria: Must include at least 16 out of the following 19 core biomarkers (= 12 of the above 19 core biomarkers.

Exclusion criteria

Exclusion criteria: 1.Critical missing data: more than 3 missing biomarkers in Cohort A, or more than 7 missing biomarkers in Cohort B, rendering the UABA model unable to effectively estimate biological age. Physiological/Pathological Special States: Women who are pregnant or lactating (due to physiological parameter changes that significantly deviate from the biological age baseline). Extreme Frailty: Terminal states with a life expectancy of less than 3 months (because acute and severe parameter fluctuations interfere with the identification of chronic aging characteristics). Missing Follow-up: Inability to obtain survival or outcome status before December 31, 2025, through any system (lost to follow-up). Age Limit: Baseline age 80 years. Logically Inconsistent Data: Records with logical errors in physiological indicators (e.g., diastolic blood pressure higher than systolic blood pressure, abnormal BMI, etc.) that cannot be verified or corrected.

Design outcomes

Primary

MeasureTime frame
Biological age acceleration;SurvClock biological age;—

Countries

China

Contacts

Public Contactchengzhouli

Jinshan Hosptial of Fudan University

chengzhouli@fudan.edu.cn+86 21 5703 9818

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 7, 2026