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Not yet recruitingNCT07838766Updated Sep 24, 2026

Biomarker Panel Development for Early Identification of Worsening Heart Failure and Improved Post-acute Care

An observational study in Outpatients With Chronic Heart Failure and Heart Failure Chronic, sponsored by Chang Gung Memorial Hospital. Not yet recruiting. Open to participants aged 18 Years to 85 Years. Per ClinicalTrials.gov, last updated 2026-09-24.

Sponsored by Chang Gung Memorial Hospital · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
800
Ages
18 Years to 85 Years
Sex
All
01

Study summary

Heart failure is a complex clinical syndrome with high hospitalization rates and high mortality risks. While NT-proBNP is widely used in clinical practice to assist in diagnosis and assessment, its ability to detect prognosis in heart failure remains insufficient. Recent scientific research has found that phenylalanine in the blood and its endogenous toxic substance phenylpyruvate are closely related to impaired energy synthesis in heart muscle cells, making them highly promising next-generation long-term biomarkers. Our research team has previously developed a "risk score" prediction model that combines phenylpyruvate levels in the blood with clinical data; this project aims to further confirm its clinical value.

Therefore, we cordially invite heart failure patients who are being followed up in the cardiology outpatient clinic to have their "phenylalanine" and "phenylpyruvic acid" concentrations measured in a small amount of blood. This data, combined with clinical data, will be used to calculate a "Risk Score" to identify high-risk heart failure patients earlier.

Read the detailed description

I. Background:

Heart failure is a complex syndrome. Any abnormality in cardiac structure or function that affects ventricular congestion or ejection can lead to heart failure. Clinically, heart failure is classified into four categories based on the presence or absence of abnormal left ventricular ejection fraction (LVEF): heart failure with reduced ejection fraction (HFrEF), heart failure with mildly reduced ejection fraction (HFmrEF), heart failure with normal left ventricular ejection fraction (LVEF ≥ 50%), and heart failure with improved ejection fraction (HFimpEF) (previously LVEF ≤ 40%, followed by follow-up to LVEF > 40%). The New York Heart Association functional classification (NYHA Fc) further classifies patients into grades I through IV based on the degree of limitation in physical activity. Patients diagnosed with HFrEF who exhibit symptoms of NYHA Fc grades 2 to 4 require guideline-directed medical therapy (GDMT). However, a good assessment strategy for long-term follow-up after treatment remains lacking.

Among existing diagnostic and treatment strategies, NT-proBNP is the most widely used biomarker for diagnosis and prognostic assessment. However, its ability to identify early abnormalities of heart failure relapse, quantify metabolic abnormalities caused by heart failure, and detect endogenous toxicities caused by heart failure is still insufficient, and its assessment of heart failure prognosis is also imprecise. Elevated blood concentrations of phenylalanine and its metabolite phenylpyruvate are currently considered highly relevant to the pathophysiological mechanisms of heart failure exacerbation and can lead to the accumulation of phenylalanine and its downstream metabolite phenylpyruvate in the body fluids and tissues of heart failure patients, further worsening cardiac function. Furthermore, these metabolic disorders are closely associated with oxidative stress, mitochondrial dysfunction, and impaired energy synthesis. These alterations have been confirmed in animal models and clinical patients. They hold great potential as biomarkers for long-term monitoring by capturing early metabolic abnormalities and endogenous toxicities in heart failure.

Therefore, this study focuses on phenylalanine and phenylpyruvate metabolites to assess their correlation with patient prognosis. In another part, we used the Chang Gung database for data analysis and integrated metabolite testing and clinical data into a "Risk Score" to identify high-risk patients. This aims to provide heart failure patients with more precise metabolic assessment and clinical management tools, thereby improving their quality of life and reducing disease-related mortality and hospitalization rates.

II. Objectives:

  1. To uniformly quantify phenylalanine and phenylpyruvate using high-order mass spectrometry and verify their correlation with the worsening of heart failure.
  2. To use the developed "Risk Score" in prospective, multicenter, observational validation studies (including Chang Gung Memorial Hospital, Mackay Memorial Hospital, Cheng Hsin General Hospital, and National Taiwan University Hospital) to assess its clinical predictive ability, calibration, discrimination, and cross-center generalization ability in patients with chronic outpatient heart failure.

III. Methods We will enroll patients at outpatient clinic at different hospitals. Then, fasting blood (3 ml) will be collected once to get the plasma after centrifugation. Phenylpyruvate (PPA) concentration will be measured by LC-MS/MS.

Based on clinical information and the blood levels of NT-proBNP and PPA, a risk score will be calculated.

For clinical outcomes, we will follow up patients' events of recurrent worsening heart failure, which will be explained in the primary and secondary outcome section.

We will do statistical analysis to see the prognostic value of PPA concentrations and the risk scores.

02

Conditions studied

  • Outpatients With Chronic Heart Failure
  • Heart Failure Chronic

Keywords

  • outpatients
  • chronic heart failure
  • biomarker
  • phenylalanine
  • phenylpyruvate
03

Who can participate

Ages eligible
18 Years to 85 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Outpatients with chronic heart failure

Inclusion criteria

(1) Adult men and women aged 18 to 85 years ( 2) Patients with chronic heart failure diagnosed as stage C or D in outpatient settings. Stage definitions are based on the American Heart Association Heart Failure Classification System (ACC/AHA HF classification system).

(3) Patients with a recorded LVEF ≤ 40% in their medical history, but LVEF is not restricted at the time of admission to include patients with HFrEF, HFimpEF, and those potentially progressing to HFmrEF/HFpEF.

(4) Patients who have recently been hospitalized for acute heart failure must be discharged and have been clinically stable for at least three months before inclusion.

Exclusion criteria

Exclusion Criteria:

  1. Patients with other serious comorbidities that significantly impact life expectancy or survival within three months based on clinical assessment, such as terminal cancer or severe multiple organ failure.
  2. Patients with NYHA class IV and unstable clinical condition requiring frequent intravenous therapy or hospitalization.
  3. Patients currently receiving maintenance hemodialysis or peritoneal dialysis.
  4. Patients who are unable to complete basic follow-up, lack key clinical data, or do not consent to the use of the specimen and data.
04

Study design

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

Groups and cohorts

  • outpatients with chronic heart failure

    Inclusion Criteria: 1. Adult men and women aged 18 to 85 years 2. Patients with chronic heart failure diagnosed as stage C or D in outpatient settings. Stage definitions are based on the American Heart Association Heart Failure Classification System (ACC/AHA HF classification system). 3. Patients with a recorded LVEF ≤ 40% in their medical history, but LVEF is not restricted at the time of admission to include patients with HFrEF, HFimpEF, and those potentially progressing to HFmrEF/HFpEF. 4. Patients who have recently been hospitalized for acute heart failure must be discharged and have been clinically stable for at least three months before inclusion.

05

What researchers measure

Primary outcomes

  1. Recurrent worsening heart failure (HF) event burden

    Recurrent worsening heart failure (HF) event burden within 36 months after enrollment. Events include: 1. Hospitalization for worsening HF 2. HF worsening treated at emergency or outpatient clinic 3. intensive diuretic care event 4. All-cause death

    Time frame: within 36 months after enrollment

Secondary outcomes

  1. Composite events

    1. First hospitalization for worsening heart failure, emergency heart failure care, or all-cause death within 36 months 2. Number of heart failure hospitalizations, number of emergency/unexpected care visits, and total days of hospitalization within 36 months

    Time frame: within 36 months after enrollment

06

Study locations

No study locations are listed for this record.

07

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

08

Registry details

Key details

Study ID
NCT07838766
Lead sponsor
Chang Gung Memorial Hospital
Collaborators
National Taiwan University Hospital, Mackay Memorial Hospital, Cheng-Hsin General Hospital
Responsible party
CHAO-HUNG WANG, MD (MD, PhD, Professor, Chang Gung Memorial Hospital) — Principal investigator
First posted
Sep 24, 2026
Start date
Sep 18, 2026 (estimated)
Primary completion
Oct 31, 2030 (estimated)
Completion
Oct 31, 2030 (estimated)
Last update
Sep 24, 2026

Study contacts

Chao-Hung Wang, MD, PhD
Contact
bearty54@gmail.com
0975360604

Oversight

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

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