Prognostic value of NT-proBNP in patients with severe COVID-19.


Journal

Respiratory research
ISSN: 1465-993X
Titre abrégé: Respir Res
Pays: England
ID NLM: 101090633

Informations de publication

Date de publication:
15 Apr 2020
Historique:
received: 11 03 2020
accepted: 02 04 2020
entrez: 16 4 2020
pubmed: 16 4 2020
medline: 23 4 2020
Statut: epublish

Résumé

The outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in China has been declared a public health emergency of international concern. The cardiac injury is a common condition among the hospitalized patients with COVID-19. However, whether N terminal pro B type natriuretic peptide (NT-proBNP) predicted outcome of severe COVID-19 patients was unknown. The study initially enrolled 102 patients with severe COVID-19 from a continuous sample. After screening out the ineligible cases, 54 patients were analyzed in this study. The primary outcome was in-hospital death defined as the case fatality rate. Research information and following-up data were obtained from their medical records. The best cut-off value of NT-proBNP for predicting in-hospital death was 88.64 pg/mL with the sensitivity for 100% and the specificity for 66.67%. Patients with high NT-proBNP values (> 88.64 pg/mL) had a significantly increased risk of death during the days of following-up compared with those with low values (≤88.64 pg/mL). After adjustment for potential risk factors, NT-proBNP was independently correlated with in-hospital death. NT-proBNP might be an independent risk factor for in-hospital death in patients with severe COVID-19. ClinicalTrials, NCT04292964. Registered 03 March 2020.

Sections du résumé

BACKGROUND BACKGROUND
The outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in China has been declared a public health emergency of international concern. The cardiac injury is a common condition among the hospitalized patients with COVID-19. However, whether N terminal pro B type natriuretic peptide (NT-proBNP) predicted outcome of severe COVID-19 patients was unknown.
METHODS METHODS
The study initially enrolled 102 patients with severe COVID-19 from a continuous sample. After screening out the ineligible cases, 54 patients were analyzed in this study. The primary outcome was in-hospital death defined as the case fatality rate. Research information and following-up data were obtained from their medical records.
RESULTS RESULTS
The best cut-off value of NT-proBNP for predicting in-hospital death was 88.64 pg/mL with the sensitivity for 100% and the specificity for 66.67%. Patients with high NT-proBNP values (> 88.64 pg/mL) had a significantly increased risk of death during the days of following-up compared with those with low values (≤88.64 pg/mL). After adjustment for potential risk factors, NT-proBNP was independently correlated with in-hospital death.
CONCLUSION CONCLUSIONS
NT-proBNP might be an independent risk factor for in-hospital death in patients with severe COVID-19.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials, NCT04292964. Registered 03 March 2020.

Identifiants

pubmed: 32293449
doi: 10.1186/s12931-020-01352-w
pii: 10.1186/s12931-020-01352-w
pmc: PMC7156898
doi:

Substances chimiques

Peptide Fragments 0
pro-brain natriuretic peptide (1-76) 0
Natriuretic Peptide, Brain 114471-18-0

Banques de données

ClinicalTrials.gov
['NCT04292964']

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

83

Subventions

Organisme : National Natural Science Foundation of China
ID : 81570212
Organisme : National Natural Science Foundation of China
ID : 31800976
Organisme : Chongqing Science and Health Joint Medical Research Project
ID : 2018QNXM024

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Auteurs

Lei Gao (L)

Department of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.

Dan Jiang (D)

Department of Cardiovascular Medicine, The First Branch of the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.

Xue-Song Wen (XS)

Department of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.

Xiao-Cheng Cheng (XC)

Department of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.

Min Sun (M)

Department of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.

Bin He (B)

Department of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.

Lin-Na You (LN)

Department of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.

Peng Lei (P)

Department of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.

Xiao-Wei Tan (XW)

Department of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.

Shu Qin (S)

Department of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.

Guo-Qiang Cai (GQ)

Department of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. 185161439@qq.com.
Traditional Chinese Medicine hospital Dianjiang Chongqing, Chongqing, 408300, China. 185161439@qq.com.

Dong-Ying Zhang (DY)

Department of Cardiovascular Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. zhangdongying@cqmu.edu.com.

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Classifications MeSH