Evidence map›Paper›PMID 36993804›Full record

ArticleFrontiers in medicine2023

Evaluation of lung function in a German single center cohort of young patients with sickle cell disease using EIT and standard techniques.

Alina Rein, Chuong Ngo, Maike van den Berg, Svenja Böll, Lisa Lassay, Udo Kontny, Norbert Wagner, Steffen Leonhardt, Klaus Tenbrock, Eva Verjans

Erratum issuedOpen access · goldFull text read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Alina ReinDepartment of Pediatrics, Medical Faculty, RWTH Aachen University, University Hospital Aachen, Aachen, Germany.
Chuong NgoMedical Information Technology, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany.
Maike van den BergMedical Information Technology, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany.
Svenja BöllDepartment of Pediatrics, Medical Faculty, RWTH Aachen University, University Hospital Aachen, Aachen, Germany.
Lisa LassayDepartment of Pediatrics, Medical Faculty, RWTH Aachen University, University Hospital Aachen, Aachen, Germany.
Udo KontnyDepartment of Pediatrics, Medical Faculty, RWTH Aachen University, University Hospital Aachen, Aachen, Germany.
Norbert WagnerDepartment of Pediatrics, Medical Faculty, RWTH Aachen University, University Hospital Aachen, Aachen, Germany.
Steffen LeonhardtMedical Information Technology, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany.
Klaus TenbrockDepartment of Pediatrics, Medical Faculty, RWTH Aachen University, University Hospital Aachen, Aachen, Germany.
Eva VerjansDepartment of Pediatrics, Medical Faculty, RWTH Aachen University, University Hospital Aachen, Aachen, Germany.
RWTH Aachen University · DEUniversitätsklinikum Aachen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Sickle cell disease (SCD) is a very common autosomal recessive hemoglobinopathy leading to multiple pulmonary complications that are closely associated with mortality. The pathophysiology of chronic pulmonary involvement is not yet fully understood and no specific therapies are available. Methods: The aim of this cross-sectional study was to characterize the lung function of children and young adolescents with SCD in a German single-center cohort and to extend conventional lung function testing by the use of a new imaging method. We performed spirometry and body plethysmography in 35 children and young adults with hemoglobin SS, SC, S/β-thalassemia as well as 50 controls. These data were compared with clinical characteristics and typical laboratory parameters of hemolysis and disease activity in SCD. To identify lung inhomogeneities, for example due to atelectasis, hyperinflation, air trapping or vascular occlusions, we used the promising new method of electrical impedance tomography (EIT) and calculated global inhomogeneity indices. Results: Lung function of patients with SCD was significantly reduced compared to that of healthy controls. When the result was found to be pathological, the most commonly observed type of breathing disorder was classified as restrictive. Laboratory parameters showed typical features of SCD including decreased levels of hemoglobin and hematocrit and elevated levels of leucocytes, platelets, lactate dehydrogenase and total bilirubin. However, there was no correlation between blood values and reduced lung function. Electrical impedance tomography (EIT) revealed no abnormalities in SCD patients compared to healthy controls. In particular, we were unable to demonstrate any regional inhomogeneities in lung ventilation. Conclusion: In our study, SCD patients showed impaired lung function, with a relevant percentage of patients suffering from restrictive breathing disorder. Signs of obstruction could not be detected. Electrical impedance tomography (EIT) measurements revealed no unevenness that would suggest air entrapment, blockage of blood vessels, excessive inflation, obstruction, or other forms of lung disease. Additionally, the reduction in lung function observed in SCD patients was not related to the disease severity or laboratory test results.

Indexed as

electrical impedance tomographylung functionpediatric pulmologysickle cell chronic lung diseasesickle cell disease

Identifiers

PMID36993804
PMCPMC10040809
OpenAlexW4324089122

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read30
Read underepoch 390

Registered trials

None linked

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.