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Peer-Review Record

Correlations between Volumetric Capnography and Automated Quantitative Computed Tomography Analysis in Patients with Severe COPD

J. Respir. 2022, 2(1), 13-24;
by Odair Henrique Gaverio Diniz 1,*, Monica Corso Pereira 1, Silvia Maria Doria da Silva 1, Marcel Koenigkam-Santos 2, Ilma Aparecida Paschoal 1 and Marcos Mello Moreira 1
Reviewer 1: Anonymous
Reviewer 2: Anonymous
J. Respir. 2022, 2(1), 13-24;
Submission received: 16 December 2021 / Revised: 20 January 2022 / Accepted: 31 January 2022 / Published: 7 February 2022

Round 1

Reviewer 1 Report

it is an interesting subject, good methodology. It feels however that the beginning of the discussion section is missing a phrase that summarises the important finding from the results. 

i would have som questions: 

- the age difference between cases and control: could that influence your results? might the age difference have an impact on volumetric capnography? 

Author Response

Dear reviewer,


I send the article again with the corrections suggestions. About the volumetric capnography, we don't see any statistical difference in elderly people. Capnography gives us CO2 data, and this does not change with age. The most frequent changes in the elderly are vascular. 

Author Response File: Author Response.pdf

Reviewer 2 Report

I read with great interest the current manuscript.

I really want to congratulate with authors for the high quality of the study.

I have some comments:


  • Please add gold stage for COPD patients and make statistics out of it.
  • Please state whether sample size was estimated.
  • Please correct several minor English errors throughout the paper.

Author Response

Dear reviewer,

I send the article again with the corrections suggestions. The sample size was not stimated because our sample comes from other done study. We lost about 70% from sample because of the CT image format. The Yacta, software used do do the analysis do not open some image save and this affect very our sample. Other problem was the expiration time in CT analyse. A large number of patients were unable to keep exhalation long enough for the software to complete the analysis. Making some other analyzes that would be made impossible, further reducing the sample. 

Author Response File: Author Response.pdf

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