Evidence map›Paper›PMID 39014325›Full record

Observational studyBMC pulmonary medicine2024

Hypercapnia and lung function parameters in chronic obstructive pulmonary disease.

Lukas Gernhold, Claus Neurohr, Konstantinos Tsitouras, Nina Lutz, Selina Briese, Alessandro Ghiani

Abstract readObservational Study
In one paragraph

Observational study in BMC pulmonary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lukas GernholdDepartment of Pulmonology and Respiratory Medicine, Lung Center Stuttgart - Schillerhoehe Lung Clinic GmbH, affiliated with Robert-Bosch-Hospital GmbH (Bosch Health Campus), Auerbachstr. 110, Stuttgart, 70376, Germany. lukas.gernhold@rbk.de.
Claus NeurohrDepartment of Pulmonology and Respiratory Medicine, Lung Center Stuttgart - Schillerhoehe Lung Clinic GmbH, affiliated with Robert-Bosch-Hospital GmbH (Bosch Health Campus), Auerbachstr. 110, Stuttgart, 70376, Germany.
Konstantinos TsitourasDepartment of Pulmonology and Respiratory Medicine, Lung Center Stuttgart - Schillerhoehe Lung Clinic GmbH, affiliated with Robert-Bosch-Hospital GmbH (Bosch Health Campus), Auerbachstr. 110, Stuttgart, 70376, Germany.
Nina LutzDepartment of Pulmonology and Respiratory Medicine, Lung Center Stuttgart - Schillerhoehe Lung Clinic GmbH, affiliated with Robert-Bosch-Hospital GmbH (Bosch Health Campus), Auerbachstr. 110, Stuttgart, 70376, Germany.
Selina BrieseDepartment of Pulmonology and Respiratory Medicine, Lung Center Stuttgart - Schillerhoehe Lung Clinic GmbH, affiliated with Robert-Bosch-Hospital GmbH (Bosch Health Campus), Auerbachstr. 110, Stuttgart, 70376, Germany.
Alessandro GhianiDepartment of Pulmonology and Respiratory Medicine, Lung Center Stuttgart - Schillerhoehe Lung Clinic GmbH, affiliated with Robert-Bosch-Hospital GmbH (Bosch Health Campus), Auerbachstr. 110, Stuttgart, 70376, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn advanced chronic obstructive pulmonary disease (COPD), hypercapnia may occur due to severe bronchial obstruction with lung hyperinflation. Non-invasive ventilation (NIV) provides the standard of care intended to achieve physiological PCO

methodsThis monocentric, retrospective observational study included 423 COPD patients. Receiver operating characteristic (ROC) curve analysis and cross-validation were used to assess lung function parameters' diagnostic accuracy for predicting chronic hypercapnia, with the resulting performance expressed as area under the ROC curve (AUROC). We performed univariable and multivariable binary logistic regression analysis to determine if these parameters were independently associated with chronic hypercapnia, with probabilities reported as odds ratios [OR] with 95% confidence intervals [95%CI].

resultsFVC% (AUROC 0.77 [95%CI 0.72-0.81], P < 0.01) and FEV1% (AURIC 0.75 [95%CI 0.70-0.79], P < 0.01) exhibited reasonable accuracy in the prediction of chronic hypercapnia, whereas lung diffusion capacity performed poorly (AUROC 0.64 [95%CI 0.58-0.71] for DCO-SB%, P < 0.01). FVC% (OR 0.95 [95%CI 0.93-0.97], P < 0.01) and FEV1% (OR 0.97 [95%CI 0.94-0.99], P = 0.029) were the only parameters associated independently with chronic hypercapnia in logistic regression analysis. FVC and FEV1 thresholds that best separated hypercapnic from normocapnic subjects reached 56% and 33% of predicted values.

conclusionsRoutinely collected pulmonary function parameters, particularly FVC% and FEV1%, may predict chronic hypercapnia during COPD progression.

Indexed as

HypercapniaPulmonary Disease, Chronic ObstructiveROC CurveSpirometryAgedFemaleForced Expiratory VolumeHumansLogistic ModelsLungMaleMiddle AgedRespiratory Function TestsRetrospective StudiesTotal Lung CapacityVital CapacityCOPDHypercapniaLung function parametersPulmonary function tests

Identifiers

PMID39014325
PMCPMC11251095

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.