Phenotypic Age Acceleration (PhenoAgeAccel) for Joint Prediction of Disease Risk, Mortality Risk, Life Expectancy, and Disease-Free Healthspan in Major Chronic Diseases
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: No Intervention (Observational Study).
- Who it may be relevant to
- Registry conditions: Phenotypic Age Acceleration, Biological Aging Marker, Mortality Risk Prediction, Disease Risk Prediction. Basic parameters: from 35 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
The goal of this observational study is to learn about the ability of Phenotypic Age Acceleration (PhenoAgeAccel) to predict four key health outcomes in Chinese people with or at risk of major chronic diseases: the risk of developing new chronic diseases, the risk of dying, life expectancy, and disease-free healthspan. The main questions this study aims to answer are: * Does higher PhenoAgeAccel increase the risk of developing major chronic diseases (including diabetes, dementia, cancer, and chronic respiratory diseases) in Chinese adults? * Does higher PhenoAgeAccel increase the risk of death from all causes in Chinese adults? * How do life expectancy and disease-free healthspan differ between people with high versus low PhenoAgeAccel? Who can take part in this study? Adults aged 35 or above years old who receive routine care at participating hospitals in China, have complete routine blood test data available, and have provided consent to use their health information for research purposes. What will participants go through? Participants will receive their usual medical care as they normally would. No new treatments, tests, or procedures will be performed specifically for this study. We will collect data from their medical records, including blood test results used to calculate PhenoAgeAccel, diagnoses of new diseases, and dates of death. What are the potential benefits? Participants will not receive direct personal benefits from taking part in this study. However, the information learned may help us better understand biological aging and improve future risk assessment and health management for people with chronic diseases. Is this study safe? Yes. This is an observational study that does not involve any new drugs, devices, or invasive procedures. All data used in the study will be de-identified and kept strictly confidential to protect participants' privacy.
Interventions
- Other No Intervention (Observational Study)
This is an observational study with no study-specific intervention. All participants receive their routine standard medical care as usual. No new drugs, devices, procedures, or behavioral modifications are assigned as part of this research.
Primary outcome measures
- Incidence of Major Chronic Diseases [Time frame: Baseline through study completion, average 10 years]
- All-Cause Mortality [Time frame: Baseline through study completion, average 10 years]
Secondary outcome measures (2)
- Life Expectancy [Time frame: Baseline through study completion, average 10 years]
- Disease-Free Healthspan [Time frame: Baseline through study completion, average 10 years]
Eligibility 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.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Observational model
- Cohort
Study locations
China · 1 center
- Second Affiliated Hospital of Nanchang University — Nanchang
Identifiers
NCT: NCT07595094 · IIT-O-2024-136