Evidence map›Paper›PMID 36434704›Full record

ArticleAnnals of clinical microbiology and antimicrobials2022

Metagenomic next-generation sequencing contributes to the diagnosis of mixed pulmonary infection: a case report.

Ziqian Qin, Yiwu Zou, Zehe Huang, Ning Yu, Zhenfeng Deng, Zhencheng Chen, Yuanli Wang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2022. 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
2.0field-weighted citation impact, top 13% 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, 14 citations in OpenAlex.

  1. Review
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  10. Lung microbiota: implications and interactions in chronic pulmonary diseases.Frontiers in cellular and infection microbiology · 2024
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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

7 authors at 4 institutions in 1 country.

Ziqian QinClinical Genome Center, Guangxi Kingmed Diagnostics, Nanning, 530007, Guangxi, China.
Yiwu ZouThe First People's Hospital of Qinzhou, The Tenth Affiliated Hospital of Guangxi Medical University, Qinzhou, 535000, Guangxi, China.
Zehe HuangThe First People's Hospital of Qinzhou, The Tenth Affiliated Hospital of Guangxi Medical University, Qinzhou, 535000, Guangxi, China.
Ning YuClinical Genome Center, Guangxi Kingmed Diagnostics, Nanning, 530007, Guangxi, China.
Zhenfeng DengClinical Genome Center, Guangxi Kingmed Diagnostics, Nanning, 530007, Guangxi, China.
Zhencheng ChenGuilin University of Electronic Technology, Guilin, 541004, Guangxi, China. chenzhcheng@163.com.
Yuanli WangThe First People's Hospital of Qinzhou, The Tenth Affiliated Hospital of Guangxi Medical University, Qinzhou, 535000, Guangxi, China. wylxinyuan@126.com.
Kingmed Diagnostics · CNGuilin University of Electronic Technology · CNBeibu Gulf University · CNGuangxi Medical University · CN

Funding

Health Commission of Guangxi Zhuang Autonomous Region Z20200599National Major Scientific Research Equipment Development Projects 61627807National Natural Science Foundation of China No. 62003107Natural Science Foundation of Guangxi, China No. 2021JJA130136
6 · The paper itself

Abstract

backgroundPulmonary cryptococcosis (PC) and mixed pulmonary infection are difficult to be diagnosed due to the non-specificity and their overlapping clinical manifestations. In terms of the clinical diagnosis of PC and mixed pulmonary infection, conventional tests have limitations such as a long detection period, a limited range of pathogens, and low sensitivity. Metagenomics next-generation sequencing (mNGS) is a nascent and powerful method that can detect pathogens without culture, to diagnose known and unexplained infections in reduced time. CASE PRESENTATION: A 43-year-old female was admitted to the hospital after suffering from a cough for one month. At the time of admission, a contrast-enhanced chest CT revealed multiple nodules and plaques in her right lung, as well as the formation of cavities. The blood routine assays showed evidently increased white blood cell count (mainly neutrophils), CRP, and ESR, which suggested she was in the infection phase. The serum CrAg-LFA test showed a positive result. Initially, she was diagnosed with an unexplained pulmonary infection. Bronchoalveolar lavage fluid (BALF) samples were collected for microbial culture, immunological tests and the mNGS. Microbial culture and immunological tests were all negative, while mNGS detected Corynebacterium striatum, Pseudomonas aeruginosa, Streptococcus pneumoniae, and Cryptococcus neoformans. The diagnosis was revised to PC and bacterial pneumonia. Lung infection lesions were healed after she received targeted anti-infection therapy with mezlocillin and fluconazole. In a follow-up after 2 months, the patient's symptoms vanished.

conclusionsHere, we demonstrated that mNGS was capable of accurately distinguishing Cryptococcus from M. tuberculosis in pulmonary infection, and notably mNGS was capable of swiftly and precisely detecting pathogens in mixed bacterial and fungal pulmonary infection. Furthermore, the results of mNGS also have the potential to adjust anti-infective therapies.

Indexed as

CoinfectionCryptococcosisMycobacterium tuberculosisMycosesPneumoniaAdultFemaleHigh-Throughput Nucleotide SequencingHumansLungMetagenomicsSensitivity and SpecificityBacterial pneumoniaDiagnosisMetagenomic next-generation sequencingMixed pulmonary infectionPulmonary cryptococcosis

Identifiers

PMID36434704
PMCPMC9701064
OpenAlexW4310046290

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Registered trials

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