Correspondence between Capnovolumetric and Conventional Lung Function Parameters in the Diagnosis of Obstructive Airway Diseases

Kellerer, Christina; Schneider, Antonius; Klütsch, Klaus; Husemann, K; Sorichter, Stephan; Jörres, Rudolf A.

doi:10.1159/000507098

Cited by 4 publications

(8 citation statements)

References 27 publications

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“…This study had the aim to assess the diagnostic value of capnovolumetry in the detection of airway obstruction. These results have been published (12)(13)(14) and are not part of the present evaluation. Subjects were consecutively enrolled if the inclusion criteria of age ≥18 years and the ability to understand the German language were met.…”

Section: Study Populationmentioning

confidence: 94%

“…Path analysis, a special case of structural equation modelling, is valuable for the understanding of networks of relationships (13,(21)(22)(23)(24), especially through its capability to describe direct and indirect relationships between variables. The goodness of fit was measured by the comparative fit index (CFI), with a required value of >0.95.…”

Section: Path Analysismentioning

confidence: 99%

“…To simulate the worst case, we therefore examined the diagnostic potential of anamnestic data without spirometry. In our previous studies (12,13), lung function data had only been used to decide on the presence of airway obstruction, while anamnestic questions were analysed only in relation to capnovolumetry (14), which is neither widely available nor equivalent to spirometry (13).…”

Section: Fevmentioning

confidence: 99%

“…For this, we used a large data set recruited in a pulmonological practice (12)(13)(14), taking advantage of the specific expertise and procedures providing reliable diagnoses for reference. In the present study, we focused on questions related to clinical history and symptoms, either taken alone, or in combination with spirometry.…”

Section: Introductionmentioning

confidence: 99%

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The role of clinical signs and spirometry in the diagnosis of obstructive airway diseases: a systematic analysis adapted to general practice settings

et al. 2021

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Background: In general practice (GP), the diagnosis of obstructive airway diseases much relies on diagnostic questions, in view of the limited availability of lung function. We systematically assessed the relative importance of such questions for diagnosing asthma and COPD, either without or with information from spirometry.Methods: We used data obtained in a pulmonary practice to ensure the validity of diagnoses and assessments. Subjects with a diagnosis of COPD (n=260), or asthma (n=433), or other respiratory diseases (n=230), and subjects without respiratory diseases (n=364, controls) were included. The diagnostic questions comprised eight items, covering smoking history, self-attributed allergic rhinitis, dyspnea, cough, phlegm and wheeze. Optionally standard parameters of the flow-volume-curve were included. Decision trees for the diagnosis of COPD and asthma were constructed, moreover a probabilistic diagnostic network based on the results of path analyses describing the relationship between variables.Results: In the decision trees, age, sex, current smoking, wheezing, dyspnea upon mild exertion, self-attributed allergic rhinitis, phlegm, FEV 1 , and expiratory flow rates were relevant, depending on the diagnostic comparison, while cough, dyspnea upon strong exertion and ex-smoker status were not relevant.In contrast, the probabilistic network for the diagnosis of COPD and asthma versus controls incorporated all diagnostic questions, i.e., dyspnea upon mild or strong exertion, current smoking, ex-smoking, wheezing, cough and phlegm but from spirometry only FEV 1 . Depending on the individual pattern, the probability for COPD could raise from 25% to 81%, while the diagnostic gain for asthma was lower. Conclusions:The study developed simple diagnostic algorithms for asthma and COPD that take into account the relative importance of clinical signs and history, as well as spirometric data if available. The diagnostic accuracy was especially high for COPD. These algorithms may be helpful as a starting point in the standardisation of diagnostic strategies in GP practices. Trial registration: The study is registered under DRKS00013935 at German Clinical Trials Register (DRKS, Date of registration 01/03/2018).

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Section: Study Populationmentioning

confidence: 94%

Section: Path Analysismentioning

confidence: 99%

Section: Fevmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The role of clinical signs and spirometry in the diagnosis of obstructive airway diseases: a systematic analysis adapted to general practice settings

et al. 2021

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“…Jarenbäck et al (2018) obtained an index of efficiency of tidal ventilation with respect to CO 2 exchange (efficiency index, EFFi) in volumetric capnography and tested the hypothesis that EFFi may be used for the diagnostics and grading of COPD [16]. Kellerer et al (2020) conducted a systematic analysis of the relationship between capnovolumetric and conventional lung function parameters to help in the interpretation of capnovolumetric parameters [17]. Although these authors conducted preliminary studies on volumetric capnography, they did not use volumetric capnography data for the specific prediction of pulmonary function parameters.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Pulmonary Function Parameters Based on a Combination Algorithm

Zhou

Wang

et al. 2022

Bioengineering

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Objective: Pulmonary function parameters play a pivotal role in the assessment of respiratory diseases. However, the accuracy of the existing methods for the prediction of pulmonary function parameters is low. This study proposes a combination algorithm to improve the accuracy of pulmonary function parameter prediction. Methods: We first established a system to collect volumetric capnography and then processed the data with a combination algorithm to predict pulmonary function parameters. The algorithm consists of three main parts: a medical feature regression structure consisting of support vector machines (SVM) and extreme gradient boosting (XGBoost) algorithms, a sequence feature regression structure consisting of one-dimensional convolutional neural network (1D-CNN), and an error correction structure using improved K-nearest neighbor (KNN) algorithm. Results: The root mean square error (RMSE) of the pulmonary function parameters predicted by the combination algorithm was less than 0.39L and the R2 was found to be greater than 0.85 through a ten-fold cross-validation experiment. Conclusion: Compared with the existing methods for predicting pulmonary function parameters, the present algorithm can achieve a higher accuracy rate. At the same time, this algorithm uses specific processing structures for different features, and the interpretability of the algorithm is ensured while mining the feature depth information.

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Effect of Buteyko breathing technique on clinical and functional parameters in adult patients with asthma: a randomized, controlled study

Vagedes,

Kuderer,

Ehmann

et al. 2024

Eur J Med Res

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Background The established therapy of asthma might be supported by additional non-pharmaceutical measures, such as the Buteyko breathing technique (BBT); however, the available data are mixed. To clarify the effects of BBT in patients with asthma, we investigated whether it led to clinical improvements with correlation to functional parameters. Methods Using a randomized, controlled design, we studied two groups (n = 30 each) of patients with asthma under either BBT or usual therapy (UT) w/o BBT over a period of 3 months. The primary outcome comprised the voluntary control pause (CP) after 3 months, secondary outcomes an additional breathhold parameter, forced expiratory volume in 1 s (FEV1), capnovolumetry, exhaled nitric oxide (FeNO), Asthma Control Questionnaire (ACQ) and Nijmegen Questionnaire (NQ), and the use of medication (β2-agonists; inhaled corticosteroids, ICS). Results CP showed significant time-by-group interaction [F(1,58.09) = 28.70, p < 0.001] as well as main effects for study group [F(1,58.27) = 5.91, p = 0.018] and time [F(1,58.36) = 17.67, p < 0.001]. ACQ and NQ scores were significantly (p < 0.05 each) improved with BBT. This was associated with reductions in the use of β2-agonists and ICS (p < 0.05 each) by about 20% each. None of these effects occurred in the UT group. While FEV1 and the slopes of the capnovolumetric expiratory phases 2 and 3 did not significantly change, the capnovolumetric threshold volume at tidal breathing increased (p < 0.05) with BBT by about 10 mL or 10%, compared to baseline, suggesting a larger volume of the central airways. No significant changes were seen for FeNO. Conclusions BBT was clinically effective, as indicated by the fact that the improvement in symptom scores and the small increase in bronchial volume occurred despite the significant reduction of respiratory pharmacotherapy. As the self-controlled Buteyko breathing therapy was well-accepted by the participants, it could be considered as supporting tool in asthma therapy being worth of wider attention in clinical practice. Trial registration Retrospectively registered on 10 March 2017 at ClinicalTrials.gov (NCT03098849).

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Correspondence between Capnovolumetric and Conventional Lung Function Parameters in the Diagnosis of Obstructive Airway Diseases

Cited by 4 publications

References 27 publications

The role of clinical signs and spirometry in the diagnosis of obstructive airway diseases: a systematic analysis adapted to general practice settings

The role of clinical signs and spirometry in the diagnosis of obstructive airway diseases: a systematic analysis adapted to general practice settings

Prediction of Pulmonary Function Parameters Based on a Combination Algorithm

Effect of Buteyko breathing technique on clinical and functional parameters in adult patients with asthma: a randomized, controlled study

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