Evidence map›Paper›PMID 30103730›Full record

ArticleBMC pulmonary medicine2018

Diagnostic value of cardiopulmonary ultrasound in elderly patients with acute respiratory distress syndrome.

Daozheng Huang, Huan Ma, Zhiyuan Xiao, Michael Blaivas, Ying Chen, Jianyi Wen, Weixin Guo, Jun Liang, Xiaolong Liao, Zhonghua Wang and 9 more

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Ultrasound patterns of pulmonary edema.Annals of translational medicine · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Daozheng HuangDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.ORCID http://orcid.org/0000-0002-0397-1916
Huan MaDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Zhiyuan XiaoDepartment of Critical Care Medicine, Yunnan Cancer Hospital and the Third Affiliated Hospital of Kunming Medical University, Kunming, 650000, China.
Michael BlaivasDepartment of Emergency Medicine, Piedmont Hospital, Newnan, GA, USA.
Ying ChenDepartment of Critical Care Medicine, Guangdong Geriatric Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Jianyi WenDepartment of Critical Care Medicine, Guangdong Geriatric Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Weixin GuoDepartment of Critical Care Medicine, Guangdong Geriatric Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Jun LiangDepartment of Critical Care Medicine, Guangdong Geriatric Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Xiaolong LiaoDepartment of Critical Care Medicine, Guangdong Geriatric Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Zhonghua WangDepartment of Critical Care Medicine, Guangdong Geriatric Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Hanbiao LiDepartment of Critical Care Medicine, Guangdong Geriatric Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Jie LiDepartment of Critical Care Medicine, Guangdong Geriatric Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Yangong ChaoDepartment of Critical Care Medicine, the First Hospital of Tsing Hua University, Beijing, 100730, China.
Xiao Ting WangDepartment of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Yan WuDepartment of Critical Care Medicine, Guangdong Geriatric Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Tiehe QinDepartment of Critical Care Medicine, Guangdong Geriatric Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Ke SuDepartment of Critical Care Medicine, Zhongshan Dongsheng Hospital, Zhongshan, 528400, China. huang1huang2@163.com.
Shouhong WangDepartment of Critical Care Medicine, Guangdong Geriatric Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China. mina0511@hotmail.com.
Ning TanDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China. hdzdoctor@sina.com.

Funding

Medical Scientific Research Foundation of Guangdong Province, Guangdong, People's Republic of China B2015076Medical Scientific Research Foundation of Guangdong Province, Guangdong, People's Republic of China C2015046
6 · The paper itself

Abstract

backgroundLung ultrasound and echocardiography are mainly applied in critical care and emergency medicine. However, the diagnostic value of cardiopulmonary ultrasound in elderly patients with acute respiratory distress syndrome (ARDS) is still unclear.

methodsConsecutive patients admitted to ICU with the diagnosis of suspected ARDS based on clinical grounds were enrolled. Cardiopulmonary ultrasound was performed as part of monitoring on day 1, day 2 and day 3. On each day a bedside ultrasound was performed to examine the lungs and calculate the Left Ventricular Ejection Fraction (LVEF). On day 3, a thoracic CT was performed on each patient as gold standard for ARDS imaging diagnosis. According to the results from CT scan, patients were grouped into ARDS group or Non-ARDS group. The relation between the cardiopulmonary ultrasound results on each day and the results of CT scan was analyzed.

resultsFifty one consecutive patients aged from 73 to 97 years old were enrolled. Based on CT criteria, 33 patients were classified into the ARDS group, while 18 patients were included in non-ARDS group. There was no significant difference between the two groups in baseline characteristics, including gender, age, underlying disease, comorbidities, APACHE II score, SOFA score, and PaO2/FiO2 ratio (P > 0.05). Lung ultrasound (LUS) examination results were consistent with the CT scan results in diagnosis of pulmonary lesions. The Kappa values were 0.55, 0.74 and 0.82 on day 1, day 2 and day 3, respectively. The ROC analysis showed that the sensitivity, specificity and area under curve of ROC (AUROC) for lung ultrasound in diagnose ARDS were 0.788,0.778,0.783;0.909,0.833,0.871;0.970,0.833,0.902 on day 1, day 2 and day 3, respectively. However, cardiopulmonary ultrasound performed better in diagnosing ARDS in elderly patients. The sensitivity, specificity and AUROC were 0.879,0.889,0.924;0.939,0.889,0.961;and 0.970,0.833,0.956 on day 1, day 2 and day 3, respectively. The combined performances of cardiopulmonary ultrasound, N-terminal pro-brain natriuretic peptide (NT-proBNP), and PaO2/FiO2 ratio improved the specificity of the diagnosis of ARDS in elderly patients.

conclusionsLUS examination results were consistent with the CT scan results in diagnosis of pulmonary lesions. Cardiopulmonary ultrasound has a greater diagnostic accuracy in elderly patients with ARDS, compared with LUS alone. The combined performances of cardiopulmonary ultrasound, NT-proBNP, and PaO

Indexed as

AgedAged, 80 and overBlood Gas AnalysisEchocardiographyFemaleHeartHumansLungMaleNatriuretic Peptide, BrainPeptide FragmentsProspective StudiesRespiratory Distress SyndromeROC CurveSensitivity and SpecificityTomography, X-Ray ComputedNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)ARDSCardiopulmonary ultrasoundDiagnostic valueElderlyLung ultrasound

Identifiers

PMID30103730
PMCPMC6090678

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.