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Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

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Modeling and estimating a threshold effect: An application to improving cardiac surgery practices.

Guangyu Yang¹, Baqun Zhang², Jonathan W Haft³

¹Institute of Statistics and Big Data, Renmin University of China, Beijing, China.

Statistical Methods in Medical Research

|November 30, 2023

Summary

This summary is machine-generated.

Estimating the oxygen delivery threshold for coronary artery bypass grafting (CABG) patients is crucial for preventing acute kidney injury. A constrained broken-stick model offers a robust method for accurate threshold estimation, improving patient outcomes.

Keywords:

Broken-stick model change-point linear spline model

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Area of Science:

Biomedical research
Statistical modeling
Cardiac surgery

Background:

Accurate threshold estimation is vital in biomedical research, yet common methods can yield biased results.
Low oxygen delivery (DO2) is linked to acute kidney injury in coronary artery bypass grafting (CABG) patients.
Establishing a DO2 threshold can inform evidence-based guidelines for cardiac surgery.

Approach:

Reviewed sudden-jump, broken-stick, and constrained broken-stick models for threshold estimation.
Investigated and compared various estimation methods under each model.
Introduced a modified two-step Newton-Raphson algorithm for the constrained broken-stick model.

Key Points:

The constrained broken-stick model demonstrates flexibility and robustness in threshold estimation.
This model effectively incorporates scientific knowledge to enhance estimation efficiency.
The modified Newton-Raphson algorithm shows favorable computational performance.

Conclusions:

The constrained broken-stick model, with the proposed algorithm, provides a superior approach for estimating critical DO2 thresholds in CABG patients.
This method can lead to improved clinical guidelines and better patient care by reducing the risk of acute kidney injury.