Evidence map›Paper›PMID 34893078›Full record

ArticleRespiratory research2021

Rapid identification of pathogens associated with ventilator-associated pneumonia by Nanopore sequencing.

Nan Wu, Piyush Ranjan, Changyu Tao, Chao Liu, Ence Yang, Bei He, John R Erb-Downward, Shining Bo, Jiajia Zheng, Chenxia Guo and 11 more

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 13 citations in OpenAlex.

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  10. The dynamic lung microbiome in health and disease.Nature reviews. Microbiology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 3 institutions in 2 countries.

Nan WuDepartment of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Piyush RanjanDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Changyu TaoDepartment of Human Anatomy and Histology and Embryology, Peking University, Beijing, 100191, People's Republic of China.
Chao LiuDepartment of Infectious Diseases, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Ence YangDepartment of Medical Bioinformatics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, People's Republic of China.
Bei HeDepartment of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
John R Erb-DownwardDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Shining BoIntensive Care Unit, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Jiajia ZhengDepartment of Laboratory Medicine, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Chenxia GuoDepartment of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Beibei LiuDepartment of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Lina SunDepartment of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Wei YanDepartment of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Meng WangDepartment of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Wenting WangDepartment of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Jianing WenDepartment of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Ping YangDepartment of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Lin YangDepartment of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Qiaoshan TianDepartment of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Robert P Dickson *Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
Ning Shen *Department of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, People's Republic of China. shenning1972@126.com.
Peking University · CNPeking University Third Hospital · CNUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAetiology detection is crucial in the diagnosis and treatment of ventilator-associated pneumonia (VAP). However, the detection method needs improvement. In this study, we used Nanopore sequencing to build a quick detection protocol and compared the efficiency of different methods for detecting 7 VAP pathogens.

methodsThe endotracheal aspirate (ETA) of 83 patients with suspected VAP from Peking University Third Hospital (PUTH) was collected, saponins were used to deplete host genomes, and PCR- or non-PCR-amplified library construction methods were used and compared. Sequence was performed with MinION equipment and local data analysis methods were used for sequencing and data analysis.

resultsSaponin depletion effectively removed 11 of 12 human genomes, while most pathogenic bacterial genome results showed no significant difference except for S. pneumoniae. Moreover, the average sequence time decreased from 19.6 h to 3.62 h. The non-PCR amplification method and PCR amplification method for library build has a similar average sensitivity (85.8% vs. 86.35%), but the non-PCR amplification method has a better average specificity (100% VS 91.15%), and required less time. The whole method takes 5-6 h from ETA extraction to pathogen classification. After analysing the 7 pathogens enrolled in our study, the average sensitivity of metagenomic sequencing was approximately 2.4 times higher than that of clinical culture (89.15% vs. 37.77%), and the average specificity was 98.8%.

conclusionsUsing saponins to remove the human genome and a non-PCR amplification method to build libraries can be used for the identification of pathogens in the ETA of VAP patients within 6 h by MinION, which provides a new approach for the rapid identification of pathogens in clinical departments.

Indexed as

Bronchoalveolar Lavage FluidDNA, BacterialFemaleFollow-Up StudiesHumansIntensive Care UnitsMaleMetagenomicsMiddle AgedPneumonia, PneumococcalPneumonia, Ventilator-AssociatedRetrospective StudiesStreptococcus pneumoniaeDNA, BacterialClinical identification methodEndotracheal aspirateNanopore sequencingPathogen identificationVentilator-associated pneumonia

Identifiers

PMID34893078
PMCPMC8665642
OpenAlexW4225892121

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.