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Validation of the Pneumocystis pneumonia score in haematology patients with acute respiratory failure
BACKGROUND: Pneumocystis pneumonia (PCP) is an important cause of acute respiratory failure (ARF) in immunocompromised patients, yet no actual clinical tool suitably identifies patients at risk. Recently, a multivariable prediction model has been proposed for haematology patients with ARF requiring...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487591/ https://www.ncbi.nlm.nih.gov/pubmed/32891138 http://dx.doi.org/10.1186/s12890-020-01279-4 |
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author | Ko, Ryoung-Eun Lee, Jongmin Na, Soo Jin Jeong, Na Ri Kim, Seon Woo Jeon, Kyeongman |
author_facet | Ko, Ryoung-Eun Lee, Jongmin Na, Soo Jin Jeong, Na Ri Kim, Seon Woo Jeon, Kyeongman |
author_sort | Ko, Ryoung-Eun |
collection | PubMed |
description | BACKGROUND: Pneumocystis pneumonia (PCP) is an important cause of acute respiratory failure (ARF) in immunocompromised patients, yet no actual clinical tool suitably identifies patients at risk. Recently, a multivariable prediction model has been proposed for haematology patients with ARF requiring intensive care unit (ICU) admission to assess the risk of PCP (PCP score). However, it has not yet been validated externally. METHODS: To validate the PCP score, a retrospective cohort study was conducted in two large designated haematology centres in Korea. One-hundred and forty haematology patients with ARF were admitted to ICU. They underwent aetiologic evaluations between July 2016 and June 2019. The predictive ability of the score was assessed with the receiver operating characteristic (ROC) curve analysis for both the discrimination and calibration of the score. RESULTS: Among the 141 patients, 13 (9.2%) were finally diagnosed of PCP. Although the median of PCP score in PCP group was higher than in non-PCP group (3.0 [interquartile range 0.0–4.0] vs. 2.0 [0.5–4.0]), the difference was not statistically significant (P = 0.679). The area under the ROC curve of the PCP score in our cohort was 0.535 (95% CI, 0.449–0.620), indicating no discriminatory ability. When using a cut-off of 3.0 the score, the result was 38.5% (95% CI, 13.9–68.4) sensitive and 7.03% (95% CI, 61.6–78.1) specific. The negative predictive value was 58.8% and positive predictive value was 59.8% for a 10% prevalence of PCP. CONCLUSIONS: In this study, the PCP score was not useful to predict the risk of PCP in haematology patients with ARF. Further prospective validation studies are needed to validate the score’s use in routine clinical practice for the early diagnosis of PCP in haematology patients. |
format | Online Article Text |
id | pubmed-7487591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74875912020-09-15 Validation of the Pneumocystis pneumonia score in haematology patients with acute respiratory failure Ko, Ryoung-Eun Lee, Jongmin Na, Soo Jin Jeong, Na Ri Kim, Seon Woo Jeon, Kyeongman BMC Pulm Med Research Article BACKGROUND: Pneumocystis pneumonia (PCP) is an important cause of acute respiratory failure (ARF) in immunocompromised patients, yet no actual clinical tool suitably identifies patients at risk. Recently, a multivariable prediction model has been proposed for haematology patients with ARF requiring intensive care unit (ICU) admission to assess the risk of PCP (PCP score). However, it has not yet been validated externally. METHODS: To validate the PCP score, a retrospective cohort study was conducted in two large designated haematology centres in Korea. One-hundred and forty haematology patients with ARF were admitted to ICU. They underwent aetiologic evaluations between July 2016 and June 2019. The predictive ability of the score was assessed with the receiver operating characteristic (ROC) curve analysis for both the discrimination and calibration of the score. RESULTS: Among the 141 patients, 13 (9.2%) were finally diagnosed of PCP. Although the median of PCP score in PCP group was higher than in non-PCP group (3.0 [interquartile range 0.0–4.0] vs. 2.0 [0.5–4.0]), the difference was not statistically significant (P = 0.679). The area under the ROC curve of the PCP score in our cohort was 0.535 (95% CI, 0.449–0.620), indicating no discriminatory ability. When using a cut-off of 3.0 the score, the result was 38.5% (95% CI, 13.9–68.4) sensitive and 7.03% (95% CI, 61.6–78.1) specific. The negative predictive value was 58.8% and positive predictive value was 59.8% for a 10% prevalence of PCP. CONCLUSIONS: In this study, the PCP score was not useful to predict the risk of PCP in haematology patients with ARF. Further prospective validation studies are needed to validate the score’s use in routine clinical practice for the early diagnosis of PCP in haematology patients. BioMed Central 2020-09-05 /pmc/articles/PMC7487591/ /pubmed/32891138 http://dx.doi.org/10.1186/s12890-020-01279-4 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article Ko, Ryoung-Eun Lee, Jongmin Na, Soo Jin Jeong, Na Ri Kim, Seon Woo Jeon, Kyeongman Validation of the Pneumocystis pneumonia score in haematology patients with acute respiratory failure |
title | Validation of the Pneumocystis pneumonia score in haematology patients with acute respiratory failure |
title_full | Validation of the Pneumocystis pneumonia score in haematology patients with acute respiratory failure |
title_fullStr | Validation of the Pneumocystis pneumonia score in haematology patients with acute respiratory failure |
title_full_unstemmed | Validation of the Pneumocystis pneumonia score in haematology patients with acute respiratory failure |
title_short | Validation of the Pneumocystis pneumonia score in haematology patients with acute respiratory failure |
title_sort | validation of the pneumocystis pneumonia score in haematology patients with acute respiratory failure |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487591/ https://www.ncbi.nlm.nih.gov/pubmed/32891138 http://dx.doi.org/10.1186/s12890-020-01279-4 |
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