Evidence map›Paper›PMID 38910264›Full record

ArticleBMC infectious diseases2024

Spectrum and antimicrobial resistance in acute exacerbation of chronic obstructive pulmonary disease with pneumonia: a cross-sectional prospective study from Vietnam.

Duy Tuyen Dao, Huu Y Le, Minh Hai Nguyen, Thi Duyen Thi, Xuan Dung Nguyen, Thanh Thuyet Bui, Thi Huyen Trang Tran, Van Luan Pham, Hang Nga Do, Jim-Tong Horng and 2 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

12 authors.

Duy Tuyen Dao *Department of Respiratory Diseases, 108 Military Central Hospital, Hanoi, Vietnam.
Huu Y Le *Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Minh Hai NguyenDepartment of Respiratory Diseases, 108 Military Central Hospital, Hanoi, Vietnam.
Thi Duyen ThiDepartment of Respiratory Diseases, 108 Military Central Hospital, Hanoi, Vietnam.
Xuan Dung NguyenDepartment of Respiratory Diseases, 108 Military Central Hospital, Hanoi, Vietnam.
Thanh Thuyet BuiVietnamese-German Center for Medical Research (VG-CARE), 108 Military Central Hospital, Hanoi, Vietnam.
Thi Huyen Trang TranVietnamese-German Center for Medical Research (VG-CARE), 108 Military Central Hospital, Hanoi, Vietnam.
Van Luan PhamDepartment of Respiratory Diseases, 108 Military Central Hospital, Hanoi, Vietnam.
Hang Nga DoGraduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Jim-Tong HorngGraduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan. jimtong@mail.cgu.edu.tw.
Huu Song LeVietnamese-German Center for Medical Research (VG-CARE), 108 Military Central Hospital, Hanoi, Vietnam. songlh@benhvien108.vn.
Dinh Tien NguyenDepartment of Respiratory Diseases, 108 Military Central Hospital, Hanoi, Vietnam. dinhtiena5@benhvien108.vn.

Funding

Ministry of National Defense of Vietnam 03/2021/HDKHCN
6 · The paper itself

Abstract

backgroundRespiratory infections have long been recognized as a primary cause of acute exacerbation of chronic obstructive pulmonary disease (AE-COPD). Additionally, the emergence of antimicrobial resistance has led to an urgent and critical situation in developing countries, including Vietnam. This study aimed to investigate the distribution and antimicrobial resistance of bacteria in patients with AE-COPD using both conventional culture and multiplex real-time PCR. Additionally, associations between clinical characteristics and indicators of pneumonia in these patients were examined.

methodsThis cross-sectional prospective study included 92 AE-COPD patients with pneumonia and 46 without pneumonia. Sputum specimens were cultured and examined for bacterial identification, and antimicrobial susceptibility was determined for each isolate. Multiplex real-time PCR was also performed to detect ten bacteria and seven viruses.

resultsThe detection rates of pathogens in AE-COPD patients with pneumonia were 92.39%, compared to 86.96% in those without pneumonia. A total of 26 pathogenic species were identified, showing no significant difference in distribution between the two groups. The predominant bacteria included Klebsiella pneumoniae, Haemophilus influenzae, Moraxella catarrhalis, and Streptococcus pneumoniae, followed by Acinetobacter baumannii and Streptococcus mitis. There was a slight difference in antibiotic resistance between bacteria isolated from two groups. The frequency of H. influenzae was notably greater in AE-COPD patients who experienced respiratory failure (21.92%) than in those who did not (9.23%). S. pneumoniae was more common in patients with stage I (44.44%) or IV (36.36%) COPD than in patients with stage II (17.39%) or III (9.72%) disease. ROC curve analysis revealed that C-reactive protein (CRP) levels could distinguish patients with AE-COPD with and without pneumonia (AUC = 0.78).

conclusionGram-negative bacteria still play a key role in the etiology of AE-COPD patients, regardless of the presence of pneumonia. This study provides updated evidence for the epidemiology of AE-COPD pathogens and the appropriate selection of antimicrobial agents in Vietnam.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, BacterialPulmonary Disease, Chronic ObstructiveAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedPneumoniaPneumonia, BacterialProspective StudiesSputumAnti-Bacterial AgentsAcute exacerbationAntibiotic resistanceBacteriologyChronic obstructive pulmonary diseasePneumonia

Identifiers

PMID38910264
PMCPMC11194910

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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.