Dataset Information

The accuracy of postoperative, non-invasive Air-Test to diagnose atelectasis in healthy patients after surgery: a prospective, diagnostic pilot study.

ABSTRACT:

Objective

To assess the diagnostic accuracy of peripheral capillary oxygen saturation (SpO₂) while breathing room air for 5 min (the 'Air-Test') in detecting postoperative atelectasis.

Design

Prospective cohort study. Diagnostic accuracy was assessed by measuring the agreement between the index test and the reference standard CT scan images.

Setting

Postanaesthetic care unit in a tertiary hospital in Spain.

Participants

Three hundred and fifty patients from 12 January to 7 February 2015; 170 patients scheduled for surgery under general anaesthesia who were admitted into the postsurgical unit were included.

Intervention

The Air-Test was performed in conscious extubated patients after a 30 min stabilisation period during which they received supplemental oxygen therapy via a venturi mask. The Air-Test was defined as positive when SpO₂ was ≤96% and negative when SpO₂ was ≥97%. Arterial blood gases were measured in all patients at the end of the Air-Test. In the subsequent 25 min, the presence of atelectasis was evaluated by performing a CT scan in 59 randomly selected patients.

Main outcome measures

The primary study outcome was assessment of the accuracy of the Air-Test for detecting postoperative atelectasis compared with the reference standard. The secondary outcome was the incidence of positive Air-Test results.

Results

The Air-Test diagnosed postoperative atelectasis with an area under the receiver operating characteristic curve of 0.90 (95% CI 0.82 to 0.98) with a sensitivity of 82.6% and a specificity of 87.8%. The presence of atelectasis was confirmed by CT scans in all patients (30/30) with positive and in 5 patients (17%) with negative Air-Test results. Based on the Air-Test, postoperative atelectasis was present in 36% of the patients (62 out of 170).

Conclusion

The Air-Test may represent an accurate, simple, inexpensive and non-invasive method for diagnosing postoperative atelectasis.

Trial registration

NCT02650037.

SUBMITTER: Ferrando C

PROVIDER: S-EPMC5623366 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The accuracy of postoperative, non-invasive Air-Test to diagnose atelectasis in healthy patients after surgery: a prospective, diagnostic pilot study.

Ferrando Carlos C Romero Carolina C Tusman Gerardo G Suarez-Sipmann Fernando F Canet Jaume J Dosdá Rosa R Valls Paola P Villena Abigail A Serralta Ferran F Jurado Ana A Carrizo Juan J Navarro Jose J Parrilla Cristina C Romero Jose E JE Pozo Natividad N Soro Marina M Villar Jesús J Belda Francisco Javier FJ

BMJ open 20170529 5

<h4>Objective</h4>To assess the diagnostic accuracy of peripheral capillary oxygen saturation (SpO<sub>2</sub>) while breathing room air for 5 min (the 'Air-Test') in detecting postoperative atelectasis.<h4>Design</h4>Prospective cohort study. Diagnostic accuracy was assessed by measuring the agreement between the index test and the reference standard CT scan images.<h4>Setting</h4>Postanaesthetic care unit in a tertiary hospital in Spain.<h4>Participants</h4>Three hundred and fifty patients fro ...[more]

PMID: 28554935

Similar Datasets

Project description:Background and Aims: Cystic fibrosis-related liver disease (CFLD) is one of the leading causes of morbidity and mortality in cystic fibrosis (CF). Several non-invasive diagnostic methods have been proposed as screening tools for CFLD. Our aim was to rank all available non-invasive modalities for diagnostic performance. Methods: A systematic search was performed in five medical databases to find studies which reported on any single or composite non-invasive diagnostic test (as an index test) compared to the Debray, the EuroCare or the Colombo criteria (as a reference standard). Ranking was carried out with a Bayesian diagnostic test accuracy network meta-analysis based on superiority indices, calculated for pooled sensitivity (Se) and specificity (Sp) with a 95% confidence interval (CI). The study was registered under CRD42020155846 in PROSPERO. Results: Fifteen studies with 15 index tests and a combination of them were included. The New criteria proposed by Koh et al. - which represent a composite diagnostic definition for CFLD including liver biochemistry, ultrasonography, transient elastography and fibrosis markers-had the best performance for detecting CFLD (Se:94%[CI:58-100], Sp:72%[CI:52-84]); while transient elastography (Se:65%[CI:56-74], Sp:88%[CI:84-91]) and a combination of it with a tissue inhibitor of metalloproteinase-4 measurement (Se:78%[CI:30-100], Sp:64%[CI:18-95%]) proved to be the second and third best options, respectively. In the imaging techniques subgroup, transient elastography (Se:66%[CI:57-72], Sp:88%[CI:85-91%]), acoustic radiation force impulse in the right lobe (Se:54%[CI:33-74], Sp:88%[CI:66-96]) and that in the left lobe (Se:55%[CI:23-81], Sp:82%[CI:50-95]) were ranked the highest. Comparing biochemical markers/fibrosis indices, the measurement of the Forns index (Se:72%[CI:25-99], Sp:63%[CI:16-94]), the aspartate aminotransferase-to-platelet ratio (Se:55%[CI:41-68], Sp:83%[CI:66-89]) and alkaline phosphatase (Se:63%[CI:18-93], Sp:64%[CI:19-95]) were ranked the highest. Conclusion: The New criteria show the best diagnostic performance. In clinical practice, transient elastography seems to be a simple, cheap and non-invasive tool, outperforming imaging, biochemical and fibrosis tests for detecting CFLD. Further studies are needed to validate our findings.

Dataset Information

The accuracy of postoperative, non-invasive Air-Test to diagnose atelectasis in healthy patients after surgery: a prospective, diagnostic pilot study.

Objective

Design

Setting

Participants

Intervention

Main outcome measures

Results

Conclusion

Trial registration

Publications

The accuracy of postoperative, non-invasive Air-Test to diagnose atelectasis in healthy patients after surgery: a prospective, diagnostic pilot study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets