Related Experiment Video

Updated: Jun 12, 2026

Using Extraordinary Optical Transmission to Quantify Cardiac Biomarkers in Human Serum
09:23

Using Extraordinary Optical Transmission to Quantify Cardiac Biomarkers in Human Serum

Published on: December 13, 2017

Defining the serum 99th percentile in a normal reference population measured by a high-sensitivity cardiac troponin I

Fred S Apple1, Peter A Simpson, Maryann M Murakami

  • 1Hennepin County Medical Center and the University of Minnesota, Department of Laboratory Medicine and Pathology, Minneapolis, MN, USA. apple004@umn.edu

Clinical Biochemistry
|June 1, 2010
PubMed

Insights

This study established the 99th percentile reference value for cardiac troponin I (cTnI) using a high-sensitivity assay in healthy adults. These findings aid in diagnosing cardiac conditions and assessing patient risk.

Area of Science:

  • Biochemistry
  • Cardiology
  • Clinical Diagnostics

Background:

  • Cardiac troponin I (cTnI) is a critical biomarker for myocardial injury.
  • High-sensitivity assays have improved the detection limits for cTnI.
  • Establishing accurate reference values is essential for clinical interpretation.

Purpose of the Study:

  • To determine the serum 99th percentile reference value for cTnI.
  • To utilize the high-sensitivity Erenna cTnI assay for this determination.
  • To provide a basis for diagnostic and risk assessment studies.

Main Methods:

  • Serum samples were collected from 348 healthy adults (18-76 years; 147 males, 201 females).
  • Nonparametric statistical analysis was employed.
  • The 99th percentile was calculated for the overall cohort and by gender.

Main Results:

  • The overall 99th percentile for cTnI was 10.19 ng/L (mean 1.45 ng/L).
  • Gender-specific 99th percentiles were 16.58 ng/L for males (mean 1.72 ng/L) and 9.36 ng/L for females (mean 1.25 ng/L).
  • No statistically significant difference was observed between genders (p=0.108).

Conclusions:

  • The high-sensitivity Erenna cTnI assay detects cTnI in 100% of normal subjects.
  • These reference values facilitate prospective diagnostic studies.
  • The findings support early cardiac disease detection and patient risk stratification.
Abstract

More Related Videos

A Sensitive and Specific Quantitation Method for Determination of Serum Cardiac Myosin Binding Protein-C by Electrochemiluminescence Immunoassay10:12

A Sensitive and Specific Quantitation Method for Determination of Serum Cardiac Myosin Binding Protein-C by Electrochemiluminescence Immunoassay

Published on: August 8, 2013

Related Concept Videos

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers

Cardiac biomarkers are critical in diagnosing, prognosing, and managing cardiovascular diseases. Routine measurement of specific biomarkers such as B-type natriuretic peptide (BNP), C-reactive protein (CRP), and homocysteine (Hcy) is common practice in clinical settings to evaluate heart function and predict cardiovascular events.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
Serum Studies: Renal Function Tests01:24

Serum Studies: Renal Function Tests

Renal function tests are crucial for assessing kidney health, monitoring disease progression, and evaluating the kidneys' efficiency in waste elimination, fluid balance, and electrolyte regulation. These tests offer critical insights into kidney function, even though routine measurements may appear normal until there is a significant decline in the glomerular filtration rate or GFR. Typically, signs of kidney impairment only become evident when the GFR falls to about 50% of its normal level.
Blood Studies for Cardiovascular System III: Serum Lipid Profile01:25

Blood Studies for Cardiovascular System III: Serum Lipid Profile

Understanding serum lipids is crucial for maintaining cardiovascular health and preventing heart disease and stroke.
Serum lipids are fats and fatty substances in the blood and are crucial for various bodily functions, including energy storage, cellular structure, and hormone production. Serum lipids consist of cholesterol, triglycerides, and phospholipids.
Cholesterol is a soft, fat-like substance found in all body cells. It is crucial for producing hormones, vitamin D, and substances that aid...
Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...