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Predicting acute respiratory distress syndrome in influenza pneumonia patients using delta mean platelet volume
BACKGROUND: Patients with influenza pneumonia are at high risk of rapid progression to acute respiratory distress syndrome (ARDS). Mean platelet volume (MPV), which reflects platelet size, is considered to be a crucial inflammatory marker. The study aim was to investigate the role of delta mean plat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649995/ https://www.ncbi.nlm.nih.gov/pubmed/34876081 http://dx.doi.org/10.1186/s12890-021-01763-5 |
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author | Reangvilaikul, Teeraphat Udompongpaiboon, Piyaphat Vattanavanit, Veerapong |
author_facet | Reangvilaikul, Teeraphat Udompongpaiboon, Piyaphat Vattanavanit, Veerapong |
author_sort | Reangvilaikul, Teeraphat |
collection | PubMed |
description | BACKGROUND: Patients with influenza pneumonia are at high risk of rapid progression to acute respiratory distress syndrome (ARDS). Mean platelet volume (MPV), which reflects platelet size, is considered to be a crucial inflammatory marker. The study aim was to investigate the role of delta mean platelet volume (delta MPV) in predicting ARDS in patients with influenza pneumonia. METHODS: This retrospective study was conducted in a tertiary care centre in southern Thailand. Adult patients diagnosed with influenza pneumonia were enrolled from January 2015 to December 2020. Demographic data, laboratory investigations including delta MPV (MPV on day 2 minus MPV on day 1), management records, and clinical outcomes were collected for analysis. The study population was divided into two groups according to the development of ARDS. RESULTS: During the study, 1240 patients with laboratory-confirmed influenza were screened and 212 pneumonia patients were enrolled. Fifty-six patients (26.4%) met the diagnostic criteria for ARDS during hospitalization. Delta MPV was significantly higher in the ARDS group compared to that in the non-ARDS group (1.0 fL vs 0.2 fL, p < 0.001). Multivariable logistic regression revealed that delta MPV is an independent predictor of ARDS (OR 17.37; 95% CI 6.5–46.4; p < 0.001). Receiver operating characteristic curve analysis indicated a cut-off value of 0.7 fL for delta MPV (sensitivity 80.36%, specificity 80.77%) to predict ARDS in patients with influenza pneumonia. CONCLUSIONS: Delta MPV strongly predicts ARDS in influenza pneumonia patients. Implementation of delta MPV may be useful in identifying at-risk patients who will require intensive care and ARDS prevention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-021-01763-5. |
format | Online Article Text |
id | pubmed-8649995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86499952021-12-07 Predicting acute respiratory distress syndrome in influenza pneumonia patients using delta mean platelet volume Reangvilaikul, Teeraphat Udompongpaiboon, Piyaphat Vattanavanit, Veerapong BMC Pulm Med Research BACKGROUND: Patients with influenza pneumonia are at high risk of rapid progression to acute respiratory distress syndrome (ARDS). Mean platelet volume (MPV), which reflects platelet size, is considered to be a crucial inflammatory marker. The study aim was to investigate the role of delta mean platelet volume (delta MPV) in predicting ARDS in patients with influenza pneumonia. METHODS: This retrospective study was conducted in a tertiary care centre in southern Thailand. Adult patients diagnosed with influenza pneumonia were enrolled from January 2015 to December 2020. Demographic data, laboratory investigations including delta MPV (MPV on day 2 minus MPV on day 1), management records, and clinical outcomes were collected for analysis. The study population was divided into two groups according to the development of ARDS. RESULTS: During the study, 1240 patients with laboratory-confirmed influenza were screened and 212 pneumonia patients were enrolled. Fifty-six patients (26.4%) met the diagnostic criteria for ARDS during hospitalization. Delta MPV was significantly higher in the ARDS group compared to that in the non-ARDS group (1.0 fL vs 0.2 fL, p < 0.001). Multivariable logistic regression revealed that delta MPV is an independent predictor of ARDS (OR 17.37; 95% CI 6.5–46.4; p < 0.001). Receiver operating characteristic curve analysis indicated a cut-off value of 0.7 fL for delta MPV (sensitivity 80.36%, specificity 80.77%) to predict ARDS in patients with influenza pneumonia. CONCLUSIONS: Delta MPV strongly predicts ARDS in influenza pneumonia patients. Implementation of delta MPV may be useful in identifying at-risk patients who will require intensive care and ARDS prevention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-021-01763-5. BioMed Central 2021-12-07 /pmc/articles/PMC8649995/ /pubmed/34876081 http://dx.doi.org/10.1186/s12890-021-01763-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Reangvilaikul, Teeraphat Udompongpaiboon, Piyaphat Vattanavanit, Veerapong Predicting acute respiratory distress syndrome in influenza pneumonia patients using delta mean platelet volume |
title | Predicting acute respiratory distress syndrome in influenza pneumonia patients using delta mean platelet volume |
title_full | Predicting acute respiratory distress syndrome in influenza pneumonia patients using delta mean platelet volume |
title_fullStr | Predicting acute respiratory distress syndrome in influenza pneumonia patients using delta mean platelet volume |
title_full_unstemmed | Predicting acute respiratory distress syndrome in influenza pneumonia patients using delta mean platelet volume |
title_short | Predicting acute respiratory distress syndrome in influenza pneumonia patients using delta mean platelet volume |
title_sort | predicting acute respiratory distress syndrome in influenza pneumonia patients using delta mean platelet volume |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649995/ https://www.ncbi.nlm.nih.gov/pubmed/34876081 http://dx.doi.org/10.1186/s12890-021-01763-5 |
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