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Dosage Regimen Designs: Nomograms and Tabulations01:23

Dosage Regimen Designs: Nomograms and Tabulations

Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...

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A nomogram model based on clinical and 3D-EIT parameters for CTEPH diagnosis.

Jian Xu1, Yuhan Wang2, Ying Gong1,3

  • 1Shanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Zhongshan Hospital Fudan University, Shanghai, China.

Respiratory Research
|April 12, 2025
PubMed
Summary

A new nomogram model integrating clinical data and 3D electrical impedance tomography (3D-EIT) aids in diagnosing chronic thromboembolic pulmonary hypertension (CTEPH). This tool improves diagnostic accuracy for CTEPH, a condition often misdiagnosed.

Keywords:
Chronic thromboembolic pulmonary hypertension (CTEPH)DiagnosisElectrical impedance tomography (EIT)Nomogram

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Area of Science:

  • Pulmonary Medicine
  • Medical Imaging
  • Diagnostic Tools

Background:

  • Chronic thromboembolic pulmonary hypertension (CTEPH) is frequently misdiagnosed.
  • Three-dimensional electrical impedance tomography (3D-EIT) offers bedside whole-lung perfusion monitoring.

Purpose of the Study:

  • To investigate 3D-EIT features in suspected CTEPH patients.
  • To construct nomogram models for identifying CTEPH using clinical and 3D-EIT data.

Main Methods:

  • Excluded patients with PH from left heart disease or chronic hypoxia.
  • Collected clinical data and performed 3D-EIT on 70 patients (50 for training).
  • Developed and validated a nomogram model using ROC curves, DCA, and CIC.

Main Results:

  • A nomogram model incorporating VTE history, D-dimer, V/Qmax, P-Range, and VQMatch was developed.
  • The model achieved a C-index of 0.926 in the training set.
  • The nomogram demonstrated superior diagnostic performance (AUC) compared to models using only clinical or EIT parameters, showing significant clinical utility.

Conclusions:

  • A combined nomogram model utilizing clinical and 3D-EIT parameters effectively facilitates CTEPH diagnosis.
  • This approach enhances diagnostic accuracy for CTEPH.