PhenoAgeAccel: Can a Biological Age Marker Predict Disease and Mortality in Chinese Adults?
Official title: Phenotypic Age Acceleration (PhenoAgeAccel) for Joint Prediction of Disease Risk, Mortality Risk, Life Expectancy, and Disease-Free Healthspan in Major Chronic Diseases
Run by Second Affiliated Hospital of Nanchang University · NCT07595094 · Data updated 2026-11-12
This study tests whether Phenotypic Age Acceleration can predict new chronic diseases, death, life expectancy, and disease-free healthspan in Chinese adults aged 35 and up who have routine blood data available.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 35 Years and up |
| Sex | All |
| Enrollment | 2000000 (estimated) |
| Sponsor | Second Affiliated Hospital of Nanchang University Academic / other |
| Locations | 1 site (Nanchang, Jiangxi) |
| Status | Recruiting |
| Started | June 1, 2006 |
| Main results expected | June 1, 2030 |
| Study ends | June 30, 2030 |
| Registry record updated | May 19, 2026 |
| Trial ID | NCT07595094 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 35–73 in participating Chinese hospitals with complete baseline blood tests and consent for research use of their health data.
✕Probably not a fit
Those with low PhenoAgeAccel or who do not develop additional diseases may not experience a direct benefit from participation.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This is an observational study conducted at the Second Affiliated Hospital of Nanchang University in China. It analyzes existing routine blood test data to calculate Phenotypic Age and PhenoAgeAccel, then follows participants to see if higher PhenoAgeAccel links to greater risk of developing major chronic diseases, all-cause mortality, and shorter disease-free life expectancy. No interventions are given; researchers rely on medical records and database linkage to track outcomes. Eligible adults are 35–73 years old with complete baseline data and consent for data use, while exclusion criteria remove those with end-stage illnesses or missing essential data. The goal is to understand whether a biological aging marker can help predict health trajectories in this population.
Why it matters
Potential benefit: If PhenoAgeAccel reliably predicts risk, clinicians could identify high-risk individuals earlier and tailor monitoring or prevention efforts.
How similar studies have gone: Previous work in aging biomarkers suggests biological age measures can relate to health risk, but this specific predictive link in this population is exploratory.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adults aged 35-73 years old. Complete routine blood test data available at baseline to calculate Phenotypic -Age (including albumin, alkaline phosphatase, creatinine, glucose, C-reactive protein, lymphocyte percentage, mean corpuscular volume, red cell distribution width, and white blood cell count). Complete demographic and clinical data (e.g., sex, BMI, comorbidities) available at baseline. * Consent to use routine medical data for research follow-up analysis. Exclusion Criteria: * Presence of end-stage diseases (e.g., end-stage liver/renal failure) other than the major chronic diseases of interest at baseline. * Key baseline data missing, making Phenotypic Age calculation impossible. Incomplete follow-up information or inability to confirm outcomes (e.g., death, disease onset) via database linkage. * Refusal to participate in the study or withdrawal of informed consent.
Where it's running
-
Second Affiliated Hospital of Nanchang University
Nanchang, Jiangxi, China Recruiting
Study contacts
- Study coordinator: Xi-jian Dai, Doctor
- Email: daixjdoctor@126.com
- Phone: 13755756959
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.