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Not yet recruitingNCT06849011IMPACT-NEUROUpdated Feb 27, 2025

Inflammatory and Metabolic Prognostic Assessment in Critically Ill Neurological Patients

An observational study in Stroke Acute, Encephalitis and Non-traumatic Brain Injury, sponsored by Yan Zhang. Not yet recruiting at 19 sites in China. Open to participants aged 18 Years to 80 Years. Per ClinicalTrials.gov, last updated 2025-02-27.

Sponsored by Yan Zhang · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
1,185
Ages
18 Years to 80 Years
Sex
All
01

Study summary

The study aims to develop and validate a prognostic prediction model for adverse outcomes in neurocritical patients receiving enteral nutrition based on key inflammatory and metabolic markers. This model will serve as a clinical tool to help physicians identify high-risk patients and guide individualized nutritional support strategies.

Read the detailed description

A multi-center, prospective case data collection study will be conducted across 19 tertiary hospitals in China. Based on this, a predictive assessment model for poor prognosis in neurocritically ill patients receiving enteral nutrition support will be developed and validated, using key inflammatory and metabolic markers. During the data collection process, comprehensive clinical information will be extracted, including patient demographic data, clinical indicators, and hematological markers. By conducting in-depth analysis and processing of this vast and detailed clinical and laboratory data, a nomogram for predicting poor prognosis in neurocritical care patients receiving enteral nutrition support will be constructed using statistical methods and data analysis techniques in R. Once the model is built, it will undergo rigorous validation on an independent external dataset to ensure its accuracy and reliability. The goal is to create a precise assessment tool for clinicians, helping them to quickly and accurately identify high-nutritional-risk patients, thereby providing a solid scientific foundation for the formulation of individualized nutrition support strategies, ultimately improving the prognosis of neurocritical patients.

02

Conditions studied

  • Stroke Acute
  • Encephalitis
  • Non-traumatic Brain Injury

Keywords

  • enteral nutrition
  • adverse prognosis
  • prediction model
  • non-traumatic severe brain injury
03

In context

Stroke

8,255 studies on the registry are indexed under Stroke; 2,056 are open to participants now.

This study's planned enrollment of 1,185 is above the median of 152 across 1,968 observational studies indexed under Stroke.

Browse Stroke studies →

Lead sponsor

This is the only study on the registry with Yan Zhang as lead sponsor.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 80 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

The study population consists of critically ill neurocritical patients in the acute phase who are receiving enteral nutrition (EN) treatment in the Neurocritical Care Unit (NICU).

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  1. Age between 18 and 80 years, no gender restrictions.
  2. Within 7 days of disease onset and expected NICU stay of at least 7 days.
  3. Eligible for enrollment within 24 hours of NICU admission, with enteral nutrition (EN) initiated and continued for at least 7 days.
  4. Non-traumatic severe brain injury patients (including cerebrovascular disease and encephalitis) with a Glasgow Coma Scale (GCS) score ≤12.
  5. NRS 2002 score ≥3.
  6. Kuwata drinking test ≥ grade 3.
  7. Acute Gastrointestinal Injury (AGI) grade 1 or 2.
  8. Signed obtained from the patient or their legal representative.

Exclusion criteria

Exclusion Criteria:

  1. Severe malnutrition prior to admission, defined as \< 16 kg/m².
  2. Pregnant or lactating women.
  3. Receiving hypothermia treatment or core body temperature \< 36°C.
  4. End-stage disease with an expected survival time of \< 48 hours, or severe dysfunction of the heart, lungs, or other vital organs, leading to hemodynamic instability.
  5. Malignant tumors.
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
1,185 participants (estimated)
Patient registry
No
Biospecimen retention
Samples without dna

Groups and cohorts

  • mild Inflammation & Metabolic dysfunction

    First, a predictive model for poor prognosis is constructed through screening of independent variables after data collection. Then, stratified analysis is conducted with inflammatory markers such as C-reactive protein and interleukin-6, and metabolic markers such as blood glucose and insulin dosage.

  • Moderate Inflammation & Metabolic Dysregulation

    First, a predictive model for poor prognosis is constructed through screening of independent variables after data collection. Then, stratified analysis is conducted with inflammatory markers such as C-reactive protein and interleukin-6, and metabolic markers such as blood glucose and insulin dosage.

  • High Inflammation & Severe Metabolic Dysregulation

    First, a predictive model for poor prognosis is constructed through screening of independent variables after data collection. Then, stratified analysis is conducted with inflammatory markers such as C-reactive protein and interleukin-6, and metabolic markers such as blood glucose and insulin dosage.

  • Peptide-Based Nutrition

    Select patients who received peptide-based formulas from the entire database for poor prognosis analysis.

  • Whole Protein Nutrition

    Select patients who received whole protein formulas from the database for poor prognosis analysis.

06

What researchers measure

Primary outcomes

  1. All-cause mortality at Day 28 of enteral nutrition therapy

    Time frame: From enrollment to 28 days after the initiation of enteral nutrition

Secondary outcomes

  1. Nutritional goal achievement rate at Day 3 (caloric and protein intake reaching 70%-100% of calculated target)

    Time frame: At Day 3 after the initiation of enteral nutrition

  2. Adverse outcome rate at Day 90 (defined as a Modified Rankin Scale score ≥ 3)

    Time frame: At Day 90 after the initiation of enteral nutrition

  3. Incidence of infectious complications within 14 days (including pneumonia, urinary tract infections, bloodstream infections, skin infections, and Clostridium difficile infections)

    Time frame: Within 14 days after the initiation of enteral nutrition

  4. Gastrointestinal intolerance within 14 days (gastric residual volume > 200 mL, nausea, vomiting, bloating, diarrhea)

    The gastric residual volume is assessed every 4 hours by the nurse through aspiration via the nasogastric tube. Other clinical manifestations such as nausea, vomiting, bloating, and diarrhea are assessed through daily observation by the attending physician.

    Time frame: Within 14 days after the initiation of enteral nutrition

  5. Incidence of gastrointestinal bleeding within 14 days (gastric occult blood, fecal occult blood, hematemesis, melena, hematochezia)

    Time frame: Within 14 days after the initiation of enteral nutrition

  6. Number of days with random blood glucose > 10 mmol/L within 14 days

    Time frame: Within 14 days after the initiation of enteral nutrition

  7. Average daily insulin requirement within 14 days

    Time frame: Within 14 days after the initiation of enteral nutrition

  8. Incidence of hypophosphatemia within 3 days

    Time frame: Within 3 days after the initiation of enteral nutrition

  9. Duration of mechanical ventilation within 14 days

    Time frame: Within 14 days after the initiation of enteral nutrition

  10. Length of NICU stay

    Time frame: From enrollment to discharge from the NICU, up to 1 year.

  11. Total hospital stay duration

    Time frame: From enrollment to discharge, up to 1 year.

  12. 90-day readmission rate post-discharge

    Time frame: Within 90 days after discharge

07

Study locations

19 sites
08

References and documents

Individual participant data

Plan to share: Yes — De-identified individual participant data (IPD) will be shared. Available data includes demographic information, clinical characteristics, laboratory results, and outcome measures.

Supporting information: Study protocol, Statistical analysis plan, Informed consent form, Clinical study report, Analytic code

Time frame: Data will be available upon reasonable request from 6 months after study completion to 3 years post-publication.

Access criteria: Access will be granted to qualified researchers upon reasonable request through a formal data-sharing agreement.

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Feb 27, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06849011
Lead sponsor
Yan Zhang
Responsible party
Yan Zhang (Professor, Xuanwu Hospital, Beijing) — Sponsor-investigator
First posted
Feb 27, 2025
Start date
Mar 1, 2025 (estimated)
Primary completion
Dec 31, 2026 (estimated)
Completion
Mar 31, 2027 (estimated)
Last update
Feb 27, 2025

Study contacts

Yan Zhang, MD., Ph D.
Contact
zhangylq@sina.com
8613671376710
Fei Tian, MD., Ph D.
Contact
smile21tian@163.com
8618201303685

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Feb 2025. You cannot join it, but the record below documents what was studied.

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