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Recruiting NCT07585578

NCT07585578 Multidimensional Dysfunction in Patients With Post-Intensive Care Syndrome in China

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Clinical Trial Summary
NCT ID NCT07585578
Status Recruiting
Phase
Sponsor Hongying Jiang, MD
Condition Post-Intensive Care Syndrome (PICS)
Study Type OBSERVATIONAL
Enrollment 800 participants
Start Date 2026-05-12
Primary Completion 2026-12-31

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age N/A
Study Type OBSERVATIONAL
Interventions
Data Collection and Assessment

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 800 participants in total. It began in 2026-05-12 with a primary completion date of 2026-12-31.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

Over the past two decades, the rapid advancement of critical care medicine has significantly reduced short-term mortality among critically ill patients. However, a growing number of intensive care unit (ICU) survivors experience persistent physical, cognitive, and psychological impairments after hospital discharge, a syndrome termed post-intensive care syndrome (PICS). Although PICS has gained increasing attention in recent years, existing studies still have multiple limitations. Given the continuously increasing number of ICU survivors in China and the marked heterogeneity in critical care delivery models across different regions and healthcare institutions, there is an urgent need for large-scale multicenter observational studies to systematically characterize the epidemiological features, multidimensional functional impairment profiles, and clinical impact of PICS in Chinese patients, thereby providing an evidence-based foundation for the development of a scientific post-ICU continuum of care.

Eligibility Criteria

Inclusion Criteria: * Age ≥18 years * First admission to ICU, with ICU length of stay ≥ 48 hours before transfer to HDU * Complete the PICS assessment within 7 days after HDU admission * Complete clinical data available (demographics, ICU-related information) * Signed informed consent obtained from participants or legal guardians Exclusion Criteria: * Prior ICU admission * Terminal illness or estimated life expectancy \<6 months * Participants or family members refuse to complete questionnaires

Contact & Investigator

Central Contact

Jingyi Ge

✉ ge_jingyi2020@163.com

📞 +861056981098

Frequently Asked Questions

Who can join the NCT07585578 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, studying Post-Intensive Care Syndrome (PICS). Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07585578 currently recruiting?

Yes, NCT07585578 is actively recruiting participants. Contact the research team at ge_jingyi2020@163.com for enrollment information.

Where is the NCT07585578 trial being conducted?

This trial is being conducted at Huaibei, China, Beijing, China, Hunan, China, Henan, China.

Who is sponsoring the NCT07585578 clinical trial?

NCT07585578 is sponsored by Hongying Jiang, MD. The trial plans to enroll 800 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: September 2026  ·  Data Methodology