Bacterial Epidemiology and Antimicrobial Resistance Profiles of Respiratory Specimens of Children with Pneumonia in Hainan, China
Bibliographic record
Abstract
Wenhui Mai,1,2,* Yiwei Liu,1,3,* Qiaoyi Meng,1,3 Jianping Xu,1,4 Jinyan Wu1,3,5 1Center for Science Experiments, Hainan Medical University, Haikou, Hainan Province, People’s Republic of China; 2Laboratory Department, Haikou Maternal and Child Health Hospital, Haikou, Hainan Province, People’s Republic of China; 3Department of Pathogen Biology, Hainan Medical University, Haikou, Hainan Province, People’s Republic of China; 4Department of Biology, McMaster University, Hamilton, Ontario, Canada; 5Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, Hainan Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jianping Xu; Jinyan Wu, Email jpxu@mcmaster.ca; hy0303003@hainmc.edu.cnPurpose: To investigate the bacterial species and antimicrobial susceptibility of respiratory specimens of children with pneumonia in Hainan, China.Methods: A total of 5017 specimens, including 4986 sputum samples, 19 bronchoalveolar lavage fluid samples and 12 tracheal tube tip samples from hospitalized children with pneumonia from April 1, 2021 to March 31, 2022 were studied. All the bacterial isolates were identified and confirmed with the VITEK 2 system. Antimicrobial susceptibility of all isolates was determined using the Kirby-Bauer method or the VITEK 2 Compact automatic system, following the breakpoints recommended by the Clinical and Laboratory Standards Institute.Results: A total of 996 bacterial isolates were collected and classified into 24 species. The top 10 most frequent species were Haemophilus influenzae (356 isolates, 35.7%), Streptococcus pneumoniae (128, 12.9%), Moraxella catarrhalis (114, 11.5%), Escherichia coli (89, 8.9%), Staphylococcus aureus (89, 8.9%), Klebsiella pneumoniae (82, 8.2%), Acinetobacter baumannii (31, 3.1%), Pseudomonas aeruginosa (28, 2.8%), Enterobacter cloacae (18, 1.8%), and Streptococcus agalactiae (13, 1.3%). 70.5% strains had the resistant (R) and/or intermediate (I) phenotypes to at least one of the tested drugs, with a large proportion (54.6%) showing resistance to two or more commonly used antibiotics. In addition, 60.5% (69/114) of M. catarrhalis strains and 42.9% (153/356) of H. influenzae strains produced β-lactamases while 19.1% (17/89) E. coli and 6.1% (5/82) K. pneumoniae strains produced extended-spectrum β-lactamases.Conclusion: A diversity of pathogenic bacteria were isolated from the respiratory tract of children with pneumonia in Hainan, China. High-frequency resistance to first-line antimicrobial drugs was observed in Gram-negative and Gram-positive bacteria, including 544 isolates resistant to at least two antibiotics. Rapid identification and susceptibility testing should be implemented for children with bacterial pneumonia in Hainan before drug treatment is recommended.Keywords: pneumonia, bacteria, antimicrobial resistance, children, multidrug-resistant bacteria
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".