Impact of Persistent Inflammation-Immunosuppression-Catabolism Syndrome (PICS) on the Respiratory Physiology in Patients With Prolonged Mechanical Ventilation

NCT ID: NCT07002710

Last Updated: 2025-06-03

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

40 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-03-18

Study Completion Date

2026-12-31

Brief Summary

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Past research on PICS has mainly focused on the predictability and prognosis of PICS occurrence in ICU patients. Still, there is currently insufficient research on the role of PICS in the care setting of patients who have stabilized and are transferred to respiratory care units such as Respiratory Care Centers (RCCs) for weaning attempts. To understand the impact of PICS on the respiratory physiology of patients undergoing weaning from prolonged mechanical ventilation, investigators propose a one-year research plan

Detailed Description

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Past research on PICS has mainly focused on the predictability and prognosis of PICS occurrence in ICU patients. Still, there is currently insufficient research on the role of PICS in the care setting of patients who have stabilized and are transferred to respiratory care units such as Respiratory Care Centers (RCCs) for weaning attempts. To understand the impact of PICS on the respiratory physiology of patients undergoing weaning from prolonged mechanical ventilation, investigators propose a one-year research plan with the hypothesis that PICS endotype patients in the RCC setting are more likely to develop alveolar collapse during weaning trials, leading to decreased oxygenation function, increased respiratory burden, and potentially more lung injury from repeated alveolar collapse and reopening. Investigators plan to enroll 60 PMV patients admitted to the RCC, perform laboratory analyses to categorize patients as PICS endotype or other types, and then collect clinical data, respiratory physiology data, and biomarkers during weaning trials, such as changes in oxygenation, respiratory work and energy expenditure, infection occurrence, diaphragm ultrasound, esophageal pressure measurements, electrical impedance tomography, and inflammatory biomarkers. The expected research outcomes include the prevalence of PICS in stable PMV patients in the RCC setting and the differences in respiratory physiology and weaning outcomes between PICS and non-PICS patients, which could inform differentiated or personalized weaning strategies in the future.

Conditions

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PICS

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Patients are still receiving ventilator support when transferred to the ward where the study is conducted.
* Use the respirator continuously for at least 10 days.
* Vital signs are stable: blood pressure systolic blood pressure is not lower than 70 mmHg; heartbeat is not lower than 50/min and not higher than 160/min; respiratory rate is not higher than 50/min.
* When using respirator support, the oxygen concentration should not exceed 60%.

Exclusion Criteria

.At least one of the following conditions occurs: 1. Pregnancy. 2. The patient refuses to undergo weaning from the respirator training. 3. The patient has no ability to drive spontaneous breathing.
Minimum Eligible Age

20 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Taiwan University Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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National Taiwan University Hospital

Taipei, , Taiwan

Site Status RECRUITING

Countries

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Taiwan

Central Contacts

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Jih-Shuin Jerng, MD, PhD, Principal Investigator

Role: CONTACT

+886-2-23123456 ext. Ext. 263532

Facility Contacts

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Jih-Shuin Jerng, MD, PhD

Role: primary

+886-2-23123456 ext. Ext. 263532

Other Identifiers

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202407047RINE

Identifier Type: -

Identifier Source: org_study_id

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