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Development and Validation of a Nomogram Incorporating Platelet Distribution Width and the Triglyceride-Glucose Index
Liyong Shi1, Lianshun Lin1, Tanwei Liu1
1Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Fujian Medical University, The Second Clinical College of Fujian Medical University, Quanzhou, Fujian, 362000, People's Republic of China.
A new nomogram using platelet distribution width (PDW) and triglyceride-glucose (TyG) index can help stratify obstructive sleep apnea (OSA) risk. This tool aids in identifying individuals needing further diagnostic evaluation for OSA.
Area of Science:
- Cardiology
- Endocrinology
- Sleep Medicine
Background:
- Obstructive sleep apnea (OSA) is a common disorder with significant cardiovascular and metabolic implications.
- Polysomnography (PSG) is the gold standard for OSA diagnosis but is resource-intensive and not widely accessible.
Purpose of the Study:
- To develop an exploratory nomogram for individualized OSA risk stratification.
- To incorporate platelet distribution width (PDW) and the triglyceride-glucose (TyG) index into the risk assessment model.
Main Methods:
- Retrospective analysis of 1328 adults undergoing PSG.
- Development of a predictive nomogram using multivariable and LASSO logistic regression.
- Internal validation using training (70%) and validation (30%) cohorts, assessing AUC, calibration, and decision curves.
Main Results:
- The nomogram included age, sex, BMI, PDW, and TyG index.
- The nomogram achieved an AUC of 0.806 (training) and 0.751 (validation).
- Calibration and decision curve analyses demonstrated good predictive performance and clinical utility.
Conclusions:
- An exploratory nomogram integrating PDW and TyG index offers a potential tool for OSA risk stratification in adults referred for PSG.
- Further external validation is necessary to support broader clinical application for OSA screening.
