Application of Large Language Models Techniques to Post-ICU Syndrome Management in Critically Ill Patients: A Fully Longitudinal Mixed Study
1 other identifier
interventional
90
1 country
1
Brief Summary
The goal of this clinical trial is to evaluate whether Large Language Models (LLMs) combined with an optimized care program can effectively manage Post-Intensive Care Syndrome (PICS) in adult ICU survivors (aged ≥18 years) discharged from a tertiary hospital in China. The main questions it aims to answer are:
- Does the intervention (optimized program + LLMs) improve physical, psychological, cognitive, and social function recovery compared to standard care or the optimized program alone?
- How do patients experience and perceive the utility of LLMs in PICS self-management during recovery? Researchers will compare three groups:
- Group A (routine care)
- Group B (optimized program without LLMs)
- Group C (optimized program + LLMs) to see if adding LLMs significantly enhances PICS symptom management, patient self-efficacy, and quality of life over 6 months post-discharge.
- Install and use the Kimi Smart Assistant LLM (Group C only) for health queries under nurse supervision.
- Complete standardized questionnaires at discharge (baseline), 7 days, 1 month, 3 months, and 6 months post-discharge:
- PICS Symptom Questionnaire (PICSQ)
- Pittsburgh Sleep Quality Index (PSQI)
- Anxiety (GAD-7) and Depression (PHQ-9) scales
- Self-Management Ability Scale (AHSMSRS)
- Attend semi-structured interviews (Group C only) at 3 and 6 months to share experiences with LLM use.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Jun 2025
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 1, 2025
CompletedFirst Submitted
Initial submission to the registry
August 19, 2025
CompletedFirst Posted
Study publicly available on registry
August 26, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 31, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
February 20, 2026
CompletedAugust 26, 2025
August 1, 2025
8 months
August 19, 2025
August 19, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
Change in Post-Intensive Care Syndrome (PICS) Symptom Severity
\- Total score of the Chinese Version of the Post-Intensive Care Syndrome Questionnaire (PICSQ). Domains: Physical function (6 items), cognitive impairment (6 items), psychological symptoms (6 items). Scoring: 18 items × 0-3 points = 0-54 total; higher scores = worse symptoms. * Total score of the Pittsburgh Sleep Quality Index (PSQI). Scoring: 7 components × 0-3 points = 0-21 total; higher scores = poorer sleep. * Recall experiences measured by the Chinese ICU Memory Tool (ICUMT). Format: 14-item mixed open/closed questions about ICU admission, treatment, and discharge memories. * Anxiety: GAD-7 score (0-21; higher = worse anxiety). Depression: PHQ-9 score (0-27; higher = worse depression).
Measured at baseline (pre-discharge), 1 month, 3 months, and 6 months post-discharge.
Secondary Outcomes (2)
Self-Management Ability
1m, 3m, 6m post-discharge.
Patient Experience with LLMs
3 months and 6 months post-discharge (Group C only).
Study Arms (3)
Routine Care Group
OTHERParticipants receive standard post-ICU follow-up care according to hospital protocols . This includes routine health assessments and general rehabilitation guidance at designated intervals (discharge, 7 days, 1/3/6 months post-discharge). No structured PICS management program or AI technology is provided.
Optimized Program Group
OTHERParticipants receive an evidence-based, optimized PICS management program developed using the Health Promotion Model (HPM). This includes personalized rehabilitation plans, psychological support, and education tailored to PICS symptoms. Interventions are delivered by clinical staff at discharge, 7 days, and 1/3/6 months post-discharge. No AI/LLM technology is used.
Optimized Program + LLMs Group
OTHERParticipants receive the same optimized PICS program as Group B, enhanced with Large Language Models (LLMs). Key components: Personalized AI-generated plans: ChatGPT-4 synthesizes patient data (baseline + follow-ups) to create monthly rehabilitation plans, reviewed by a multidisciplinary expert team. LLM access: Installation of "Kimi Smart Assistant" for daily health queries. Safety protocols: Patients must validate LLM advice with nurses via WeChat before use . Phased intervention: Pre-discharge: LLM training + baseline plan generation. 1 month: Plan updates based on new data. 3/6 months: Plan updates + semi-structured interviews about LLM experience.
Interventions
Participants receive standard post-ICU follow-up care according to hospital protocols . This includes routine health assessments and general rehabilitation guidance at designated intervals (discharge, 1/3/6 months post-discharge). No structured PICS management program or AI technology is provided.
An evidence-based, multidisciplinary rehabilitation protocol for Post-Intensive Care Syndrome (PICS) management, developed using the Health Promotion Model (HPM). It includes: Personalized rehabilitation plans addressing physical, cognitive, and psychological recovery. Structured follow-up at discharge, 1/3/6 months post-discharge. Components: Physical function training, cognitive exercises, anxiety/depression coping strategies, and sleep hygiene education. Delivery: Clinician-guided (no AI/technology involved). Developed via literature review and validated by ICU physicians and nursing experts .
Combines the HPM-Based Optimized Program with Large Language Model (LLM) technology for dynamic personalization: AI-generated rehabilitation plans: ChatGPT-4 synthesizes patient data (baseline + follow-ups) to create/update monthly plans, reviewed by a multidisciplinary expert team. Patient-facing LLM tool: "Kimi Smart Assistant" installed for daily health queries under strict safety protocols (all outputs validated by nurses via WeChat). Phased implementation: Pre-discharge: LLM training + baseline plan generation. 1/3/6 months: Plan updates + outcome tracking. 3/6 months: Semi-structured interviews on LLM experience. Includes LLM usage guidelines and expert validation safeguards .
Eligibility Criteria
You may qualify if:
- ICU hospitalization duration \> 24 hours.
- Age ≥ 18 years.
- Conscious at ICU discharge, able to communicate without barriers.
- Provide informed consent to participate.
- Regular access to and usage of smart electronic devices.
You may not qualify if:
- Previous ICU admission (≥24h) within 3 months before the current hospitalization.
- Transferred to another ICU during the current hospitalization.
- Pre-existing cognitive impairment (Blessed Dementia Rating Scale \[BDRS\] score \>4 before ICU admission).
- Severe communication barriers:
- Hearing impairment Dysarthria Other conditions preventing follow-up assessments.
- Critically unstable condition preventing questionnaire completion.
- Infrequent/no experience using smart electronic devices (e.g., smartphones, tablets).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
The Affiliated Hospital of Guizhou Medical University
Guiyang, Guizhou, 550004, China
MeSH Terms
Conditions
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- QUADRUPLE
- Who Masked
- PARTICIPANT, CARE PROVIDER, INVESTIGATOR, OUTCOMES ASSESSOR
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 19, 2025
First Posted
August 26, 2025
Study Start
June 1, 2025
Primary Completion
January 31, 2026
Study Completion
February 20, 2026
Last Updated
August 26, 2025
Record last verified: 2025-08
Data Sharing
- IPD Sharing
- Will not share