A proposed curvilinearity index for quantifying airflow obstruction.

Respir Care

Department of Occupational and Environmental Medicine, Regions Hospital, 640 Jackson Street, St Paul, MN 55101, USA.

Published: January 2006

AI Article Synopsis

  • The study introduces a new "curvature" index (k(max)) to quantify the curvilinearity observed in the expiratory flow-volume curve, which helps assess airway obstruction more accurately.
  • The researchers fit a hyperbolic function to spirometry data from 67 patients and found that this curvature index correlates well with FEV(1) values, indicating an exponential relationship.
  • This new index could improve the quantitative analysis of lung disease and assist in future clinical evaluations by linking curvilinearity to obstructive lung disease more effectively.

Article Abstract

Background: Though forced expiratory volume in the first second (FEV(1)) is the primary indicator of airway obstruction, curvilinearity in the expiratory flow-volume curve is used to support the quantitative assessment of obstruction via FEV(1). Currently there is no available index to quantify a pathological contour of curvilinearity.

Study Purpose: We propose a "curvature" index (k(max)) and compare FEV(1) values to the index with a sequential sample of spirometry data.

Methods: The hyperbolic function b(0)Q + b(1)Q V + b(2)V = 1 (in which Q = flow rate, V = volume, and b(0), b(1), and b(2) are estimated from the patient's flow-volume data) is fit to a fixed segment of the descending phase of the expiratory flow-volume curve. A previously developed biomechanical interpretation of this relationship associates the coefficient b(1) with the rate of airway-resistance-increase as exhaled volume increases. A global curvature index k(max)=b(1)/2(b(0)b(2)+b(1)) is defined to quantify the curvilinearity phenomenon. We used statistics software to determine the k(max) of spirometry data from 67 sequential patients, and to determine the relationship of k(max) to FEV(1).

Results: Individual k(max) estimates appeared to correspond well with the degree of curvilinearity observed and were related in an exponential manner to FEV(1).

Conclusions: We defined a curvature index to quantify the curvilinearity phenomenon observed in the expiratory limb of flow-volume loops from patients with obstructive lung disease. This index uses data from a major segment of the flow-volume curve, and our preliminary data indicate an exponential relationship with FEV(1). This new index allows the putative association between curvilinearity and obstructive lung disease to be examined quantitatively in clinical practice and future studies.

Download full-text PDF

Source

Publication Analysis

Top Keywords

flow-volume curve
12
expiratory flow-volume
8
quantify curvilinearity
8
curvilinearity phenomenon
8
obstructive lung
8
lung disease
8
curvilinearity
5
flow-volume
5
proposed curvilinearity
4
curvilinearity quantifying
4

Similar Publications

The Characteristics of the Concavity of Descending Limb of Maximal Expiratory Flow-Volume Curves Generated by Spirometry.

Lung

January 2025

National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.

Purpose: This study examined the concavity (angle β, central and peripheral concavity) of the descending limb of the maximal expiratory flow-volume (MEFV) curves to reflect various ventilatory defects, including obstructive, restrictive, or mixed patterns.

Methods: We conducted a cross-sectional study collecting spirometry data from a healthcare center and a tertiary hospital between 2017 and 2022, with additional raw flow-volume curve data from primary healthcare institutions in 2023. We analyzed differences in concavity between spirometric patterns.

View Article and Find Full Text PDF

The flow-volume loop (FVL) is a valuable yet often underutilized tool for assessing the placement of the laryngeal mask airway (LMA) during surgery. It provides real-time graphical data on airway patency and ventilation. These cases examine the role of FVL in identifying LMA misplacement.

View Article and Find Full Text PDF

Transfer learning in spirometry: CNN models for automated flow-volume curve quality control in paediatric populations.

Comput Biol Med

January 2025

EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal; Serviço de Imunoalergologia, Unidade Local de Saúde de São João, Porto, Portugal; Laboratório de Imunologia Básica e Clínica, Departamento de Patologia, Faculdade de Medicina da Universidade do Porto, Portugal.

Problem: Current spirometers face challenges in evaluating acceptability criteria, often requiring manual visual inspection by trained specialists. Automating this process could improve diagnostic workflows and reduce variability in test assessments.

Aim: This study aimed to apply transfer learning to convolutional neural networks (CNNs) to automate the classification of spirometry flow-volume curves based on acceptability criteria.

View Article and Find Full Text PDF

Background: Evaluating expiratory airway function in infants is challenging because the criterion standard, the raised-volume rapid thoracoabdominal compression technique, is technically difficult and has a high failure rate.

Research Question: Are measurements obtained during passive expiration from total lung capacity correlated with forced expiration measurements obtained by the raised-volume technique in infants?

Study Design And Methods: This observational retrospective analysis included infants born ≥ 36 weeks' gestation who underwent pulmonary function testing using the raised-volume rapid thoracoabdominal compression technique at Hadassah Medical Centre between January 2011 and December 2019. Technically acceptable forced and passive flow-volume curve measurements were included in the analysis.

View Article and Find Full Text PDF
Article Synopsis
  • * A study involving 96 patients who underwent microscopic subinguinal varicocelectomy (MSV) found significant increases in testicular arterial blood flow volume (TABFV) post-surgery, particularly for the left testis, which was more than double the preoperative level.
  • * Researchers developed a diagnostic model using preoperative TABFV and the presence of subclinical right-sided varicocele to predict semen improvement after MSV, achieving a strong performance with an area under the curve (AUC) of 0.824,
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!