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Sarcopenia, Metabolic Diseases, and Integrated Aging Longitudinal Evaluation (SMILE)

Sarcopenia, Metabolic Diseases, and Integrated Aging Longitudinal Evaluation (SMILE)

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07205510
Enrollment
10000
Registered
2025-10-03
Start date
2020-12-01
Completion date
2040-12-31
Last updated
2025-10-03

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

Conditions

Aging, All-cause Mortality, Cardiometabolic Diseases, Metabolic Diseases, Sarcopenia

Keywords

Sarcopenia, Metabolic Diseases, Aging, All-cause mortality, Cardiometabolic Diseases

Brief summary

This study aims to establish an ambispective cohort platform centered on the pathological axis of sarcopenia-metabolic disorders-aging progression, integrating multimodal data including demographic characteristics, lifestyle factors, clinical phenotypes, laboratory tests, medical imaging, and biospecimens. Namely 'Sarcopenia, Metabolic Diseases, and Integrated Aging Longitudinal Evaluation (SMILE)'.

Detailed description

Sarcopenia is an age-related syndrome characterized by progressive decline in skeletal muscle mass, strength, and function. Traditionally regarded as a consequence of aging, it not only impairs physical mobility, nutritional status, and activities of daily living but also significantly increases the risk of falls, frailty, disability, and subsequent hospitalization. Furthermore, sarcopenia is associated with prolonged hospital stays, elevated postoperative complications, and even premature mortality, imposing substantial economic and healthcare burdens on patients, families, and society. Recent studies have revealed a complex interplay between sarcopenia and metabolic disorders (e.g., diabetes, dyslipidemia, and obesity), which collectively accelerate the aging process and elevate the risks of cardiovascular events, cardiovascular mortality, and all-cause mortality. Therefore, early identification of changes in muscle mass and function, along with preventive measures against sarcopenia, is crucial for mitigating long-term disease risks. However, strategies for early detection of muscle aging progression and at-risk populations remain to be further elucidated. This study aims to establish an ambispective cohort platform centered on the pathological axis of sarcopenia-metabolic disorders-aging progression, integrating multimodal data including demographic characteristics, lifestyle factors, clinical phenotypes, laboratory tests, medical imaging, and biospecimens. Namely 'Sarcopenia, Metabolic Diseases, and Integrated Aging Longitudinal Evaluation (SMILE)'. By combining retrospective and prospective cohort analyses, we will longitudinally track individual health data and conduct in-depth exploration of interaction mechanisms. The objectives are to unravel the dynamic interplay between sarcopenia and metabolic diseases in aging. Assess their mid-to-long-term impact on cardiovascular events and all-cause mortality, and develop novel strategies for early identification and risk stratification. The findings will provide a robust theoretical foundation and key technological support for precision interventions in sarcopenia, delaying functional decline, and optimizing health management in aging populations. This study holds significant implications for addressing chronic disease risks exacerbated by population aging and alleviating associated socioeconomic burdens.

Interventions

OTHERnothing

This is an observational study.

Sponsors

RenJi Hospital
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
OTHER

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

Adults aged 18 and over

Exclusion criteria

1. Does not cooperate in signing the informed consent form; 2. Does not possess legal capacity; 3. In a state of loss of consciousness; 4. Suffering from severe mental illness, unable to communicate normally; 5. The researcher believes that the subject has a disease that affects the assessment of results and is unsuitable for inclusion.

Design outcomes

Primary

MeasureTime frameDescription
all-cause mortalityFrom enrollment to the 5-year and 10-year follow-up visit.Collect information on all-cause mortality of patients through hospital medical records, telephone follow-ups, outpatient follow-ups, etc., in order to assess the combined effects and underlying mechanisms of sarcopenia, metabolic diseases, and aging on all-cause mortality.

Secondary

MeasureTime frameDescription
cause-specific mortalityAt 5 and 10 years from the baseline visit.Collect information on cause-specific mortality of patients through hospital medical records, telephone follow-ups, outpatient follow-ups, etc., in order to assess the combined effects and underlying mechanisms of sarcopenia, metabolic diseases, and aging on cause-specific mortality. In-depth exploration of the role of sarcopenia, metabolic diseases, and aging in the severe outcomes of mortality caused by various diseases.
Major adverse cardiovascular eventsAt 5 and 10 years from the baseline visit.Through medical records within the hospital, telephone follow-ups, outpatient follow-ups, we will collect detailed information on the occurrence of new major adverse cardiovascular events (cardiovascular death, myocardial infarction, stroke) in the study subjects during the follow-up period. The aim is to analyze the impact, mechanisms, and interactions of sarcopenia, metabolic diseases, and aging on the occurrence and development of these adverse events.

Countries

China

Contacts

Primary Contact融 黄, Ph.D
11084@renji.com+862168383816

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026