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Risk assessment and integrated prevention and treatment of chronic obstructive pulmonary disease complicated with sarcopenia based on machine learning prediction

Risk assessment and integrated prevention and treatment of chronic obstructive pulmonary disease complicated with sarcopenia based on machine learning prediction

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500107355
Enrollment
Unknown
Registered
2025-08-10
Start date
2025-08-10
Completion date
Unknown
Last updated
2025-08-18

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

Conditions

Chronic obstructive pulmonary disease

Interventions

Chronic obstructive pulmonary disease group:none
Chronic obstructive pulmonary disease combined with sarcopenia group:none

Sponsors

Suzhou Municipal Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1. Meet the diagnostic criteria for COPD; 2. Good cooperation and compliance with treatment.

Exclusion criteria

Exclusion criteria: 1.Those with other respiratory diseases such as active pulmonary tuberculosis and bronchiectasis; 2. Those with malignant tumors; 3. Those who refuse to cooperate with the examination.

Design outcomes

Primary

MeasureTime frame
the power of gripping;appendicular skeletal muscle mass index;SPPB score;—

Secondary

MeasureTime frame
FEV1/PRE-FEV1;CAT score;mMRC score;NRS 2002 score;time in rang of glucose;time above range of glucose;time below range of glucose;glycosylated hemoglobin;Hypersensitive C-reactive protein;procalcitonin;Characteristics of Traditional Chinese Medicine syndromes;Biochemical indicators;blood routine index;—

Countries

China

Contacts

Public ContactJinxian Qian

Suzhou Municipal Hospital

szicu@sina.com+86 137 7608 6072

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026