Cargando…

A prediction rule for severe adverse events in all inpatients with community-acquired pneumonia: a multicenter observational study

BACKGROUND: Prediction of inpatients with community-acquired pneumonia (CAP) at high risk for severe adverse events (SAEs) requiring higher-intensity treatment is critical. However, evidence regarding prediction rules applicable to all patients with CAP including those with healthcare-associated pne...

Descripción completa

Detalles Bibliográficos
Autores principales: Sakakibara, Toshihiro, Shindo, Yuichiro, Kobayashi, Daisuke, Sano, Masahiro, Okumura, Junya, Murakami, Yasushi, Takahashi, Kunihiko, Matsui, Shigeyuki, Yagi, Tetsuya, Saka, Hideo, Hasegawa, Yoshinori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753951/
https://www.ncbi.nlm.nih.gov/pubmed/35022026
http://dx.doi.org/10.1186/s12890-022-01819-0
_version_ 1784632178474221568
author Sakakibara, Toshihiro
Shindo, Yuichiro
Kobayashi, Daisuke
Sano, Masahiro
Okumura, Junya
Murakami, Yasushi
Takahashi, Kunihiko
Matsui, Shigeyuki
Yagi, Tetsuya
Saka, Hideo
Hasegawa, Yoshinori
author_facet Sakakibara, Toshihiro
Shindo, Yuichiro
Kobayashi, Daisuke
Sano, Masahiro
Okumura, Junya
Murakami, Yasushi
Takahashi, Kunihiko
Matsui, Shigeyuki
Yagi, Tetsuya
Saka, Hideo
Hasegawa, Yoshinori
author_sort Sakakibara, Toshihiro
collection PubMed
description BACKGROUND: Prediction of inpatients with community-acquired pneumonia (CAP) at high risk for severe adverse events (SAEs) requiring higher-intensity treatment is critical. However, evidence regarding prediction rules applicable to all patients with CAP including those with healthcare-associated pneumonia (HCAP) is limited. The objective of this study is to develop and validate a new prediction system for SAEs in inpatients with CAP. METHODS: Logistic regression analysis was performed in 1334 inpatients of a prospective multicenter study to develop a multivariate model predicting SAEs (death, requirement of mechanical ventilation, and vasopressor support within 30 days after diagnosis). The developed ALL-COP-SCORE rule based on the multivariate model was validated in 643 inpatients in another prospective multicenter study. RESULTS: The ALL-COP SCORE rule included albumin (< 2 g/dL, 2 points; 2–3 g/dL, 1 point), white blood cell (< 4000 cells/μL, 3 points), chronic lung disease (1 point), confusion (2 points), PaO(2)/F(I)O(2) ratio (< 200 mmHg, 3 points; 200–300 mmHg, 1 point), potassium (≥ 5.0 mEq/L, 2 points), arterial pH (< 7.35, 2 points), systolic blood pressure (< 90 mmHg, 2 points), PaCO(2) (> 45 mmHg, 2 points), HCO(3)(−) (< 20 mmol/L, 1 point), respiratory rate (≥ 30 breaths/min, 1 point), pleural effusion (1 point), and extent of chest radiographical infiltration in unilateral lung (> 2/3, 2 points; 1/2–2/3, 1 point). Patients with 4–5, 6–7, and ≥ 8 points had 17%, 35%, and 52% increase in the probability of SAEs, respectively, whereas the probability of SAEs was 3% in patients with ≤ 3 points. The ALL-COP SCORE rule exhibited a higher area under the receiver operating characteristic curve (0.85) compared with the other predictive models, and an ALL-COP SCORE threshold of ≥ 4 points exhibited 92% sensitivity and 60% specificity. CONCLUSIONS: ALL-COP SCORE rule can be useful to predict SAEs and aid in decision-making on treatment intensity for all inpatients with CAP including those with HCAP. Higher-intensity treatment should be considered in patients with CAP and an ALL-COP SCORE threshold of ≥ 4 points. TRIAL REGISTRATION: This study was registered with the University Medical Information Network in Japan, registration numbers UMIN000003306 and UMIN000009837. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-022-01819-0.
format Online
Article
Text
id pubmed-8753951
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-87539512022-01-12 A prediction rule for severe adverse events in all inpatients with community-acquired pneumonia: a multicenter observational study Sakakibara, Toshihiro Shindo, Yuichiro Kobayashi, Daisuke Sano, Masahiro Okumura, Junya Murakami, Yasushi Takahashi, Kunihiko Matsui, Shigeyuki Yagi, Tetsuya Saka, Hideo Hasegawa, Yoshinori BMC Pulm Med Research BACKGROUND: Prediction of inpatients with community-acquired pneumonia (CAP) at high risk for severe adverse events (SAEs) requiring higher-intensity treatment is critical. However, evidence regarding prediction rules applicable to all patients with CAP including those with healthcare-associated pneumonia (HCAP) is limited. The objective of this study is to develop and validate a new prediction system for SAEs in inpatients with CAP. METHODS: Logistic regression analysis was performed in 1334 inpatients of a prospective multicenter study to develop a multivariate model predicting SAEs (death, requirement of mechanical ventilation, and vasopressor support within 30 days after diagnosis). The developed ALL-COP-SCORE rule based on the multivariate model was validated in 643 inpatients in another prospective multicenter study. RESULTS: The ALL-COP SCORE rule included albumin (< 2 g/dL, 2 points; 2–3 g/dL, 1 point), white blood cell (< 4000 cells/μL, 3 points), chronic lung disease (1 point), confusion (2 points), PaO(2)/F(I)O(2) ratio (< 200 mmHg, 3 points; 200–300 mmHg, 1 point), potassium (≥ 5.0 mEq/L, 2 points), arterial pH (< 7.35, 2 points), systolic blood pressure (< 90 mmHg, 2 points), PaCO(2) (> 45 mmHg, 2 points), HCO(3)(−) (< 20 mmol/L, 1 point), respiratory rate (≥ 30 breaths/min, 1 point), pleural effusion (1 point), and extent of chest radiographical infiltration in unilateral lung (> 2/3, 2 points; 1/2–2/3, 1 point). Patients with 4–5, 6–7, and ≥ 8 points had 17%, 35%, and 52% increase in the probability of SAEs, respectively, whereas the probability of SAEs was 3% in patients with ≤ 3 points. The ALL-COP SCORE rule exhibited a higher area under the receiver operating characteristic curve (0.85) compared with the other predictive models, and an ALL-COP SCORE threshold of ≥ 4 points exhibited 92% sensitivity and 60% specificity. CONCLUSIONS: ALL-COP SCORE rule can be useful to predict SAEs and aid in decision-making on treatment intensity for all inpatients with CAP including those with HCAP. Higher-intensity treatment should be considered in patients with CAP and an ALL-COP SCORE threshold of ≥ 4 points. TRIAL REGISTRATION: This study was registered with the University Medical Information Network in Japan, registration numbers UMIN000003306 and UMIN000009837. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-022-01819-0. BioMed Central 2022-01-12 /pmc/articles/PMC8753951/ /pubmed/35022026 http://dx.doi.org/10.1186/s12890-022-01819-0 Text en © The Author(s) 2022 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
Sakakibara, Toshihiro
Shindo, Yuichiro
Kobayashi, Daisuke
Sano, Masahiro
Okumura, Junya
Murakami, Yasushi
Takahashi, Kunihiko
Matsui, Shigeyuki
Yagi, Tetsuya
Saka, Hideo
Hasegawa, Yoshinori
A prediction rule for severe adverse events in all inpatients with community-acquired pneumonia: a multicenter observational study
title A prediction rule for severe adverse events in all inpatients with community-acquired pneumonia: a multicenter observational study
title_full A prediction rule for severe adverse events in all inpatients with community-acquired pneumonia: a multicenter observational study
title_fullStr A prediction rule for severe adverse events in all inpatients with community-acquired pneumonia: a multicenter observational study
title_full_unstemmed A prediction rule for severe adverse events in all inpatients with community-acquired pneumonia: a multicenter observational study
title_short A prediction rule for severe adverse events in all inpatients with community-acquired pneumonia: a multicenter observational study
title_sort prediction rule for severe adverse events in all inpatients with community-acquired pneumonia: a multicenter observational study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753951/
https://www.ncbi.nlm.nih.gov/pubmed/35022026
http://dx.doi.org/10.1186/s12890-022-01819-0
work_keys_str_mv AT sakakibaratoshihiro apredictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT shindoyuichiro apredictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT kobayashidaisuke apredictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT sanomasahiro apredictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT okumurajunya apredictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT murakamiyasushi apredictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT takahashikunihiko apredictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT matsuishigeyuki apredictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT yagitetsuya apredictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT sakahideo apredictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT hasegawayoshinori apredictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT sakakibaratoshihiro predictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT shindoyuichiro predictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT kobayashidaisuke predictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT sanomasahiro predictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT okumurajunya predictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT murakamiyasushi predictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT takahashikunihiko predictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT matsuishigeyuki predictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT yagitetsuya predictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT sakahideo predictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy
AT hasegawayoshinori predictionruleforsevereadverseeventsinallinpatientswithcommunityacquiredpneumoniaamulticenterobservationalstudy