The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Infection and co-infection patterns of community-acquired pneumonia in patients of different ages in China from 2009 to 2020: a national surveillance study
Open accessAbstract
BACKGROUND: Severe community-acquired pneumonia (SCAP) is associated with a substantial number of hospitalisations and deaths worldwide. Infection or co-infection patterns, along with their age dependence and clinical effects are poorly understood. We aimed to explore the causal and epidemiological characteristics by age, to better describe patterns of community-acquired pneumonia (CAP) and their association with severe disease. METHODS: National surveillance of CAP was conducted through a network of hospitals in 30 provinces in China from 2009-20 inclusive. Patients with CAP were included if they had evidence of acute respiratory tract, had evidence of pneumonia by chest radiography, diagnosis of pneumonia within 24 h of hospital admission, and resided in the study catchment area. For the enrolled patients with CAP, nasopharyngeal and oral swabs were taken and tested for eight viral pathogens; and blood, urine, or expectorated sputum was tested for six bacterial pathogens. Clinical outcomes, including SCAP, were investigated with respect to age and patterns of infections or co-infections by performing binary logistic regression and multivariate analysis. FINDINGS: Between January, 2009, and December, 2020, 18 807 patients with CAP (3771 [20·05%] with SCAP) were enrolled. For both children (aged ≤5 years) and older adults (aged >60 years), a higher overall rate of viral and bacterial infections, as well as viral-bacterial co-infections were seen in patients with SCAP than in patients with non-SCAP. For adults (aged 18-60 years), however, only a higher rate of bacterial-bacterial co-infection was observed. The most frequent pathogens associated with SCAP were respiratory syncytial virus (RSV; 21·30%) and Streptococcus pneumoniae (12·61%) among children, and influenza virus (10·94%) and Pseudomonas aeruginosa (15·37%) among older adults. Positive rates of detection of most of the tested pathogens decreased during 2020 compared with the 2009-19 period, except for RSV, P aeruginosa, and Klebsiella pneumoniae. Multivariate analyses showed SCAP was significantly associated with infection with human adenovirus, human rhinovirus, K pneumoniae, or co-infection of RSV and Haemophilus influenzae or RSV and Staphylococcus aureus in children and adolescents (aged <18 years), and significantly associated with infection with P aeruginosa, K pneumoniae, or S pneumoniae, or co-infection with P aeruginosa and K pneumoniae in adults (aged ≥18 years). INTERPRETATION: Both prevalence and infection pattern of respiratory pathogens differed between patients with SCAP and patients with non-SCAP in an age-dependent manner. These findings suggest potential advantages to age-related strategies for vaccine schedules, as well as clinical diagnosis, treatment, and therapy. FUNDING: China Mega-Project on Infectious Disease Prevention and The National Natural Science Funds of China. TRANSLATION: For the Chinese translation of the abstract see Supplementary Materials section.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis
Murray, C. J. L., Ikuta, K. S., Sharara, F., Swetschinski, L., Robles Aguilar, G., Gray, A., Han, C., Bisignano, C., Rao, P., Wool, E., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(21)02724-0 · Cited by 16,316
Self-citationMandell, L. A., Wunderink, R. G., Anzueto, A., Bartlett, J. G., Campbell, G. D., Dean, N. C., Dowell, S. F., File, T. M., Musher, D. M., Niederman, M. S., et al. (2007) · Clinical Infectious Diseases · doi:10.1086/511159 · Cited by 6,202
Ikuta, K. S., Swetschinski, L. R., Robles Aguilar, G., Sharara, F., Mestrovic, T., Gray, A. P., Davis Weaver, N., Wool, E. E., Han, C., Gershberg Hayoon, A., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(22)02185-7 · Cited by 2,235
Self-citationRuuskanen, O., Lahti, E., Jennings, L. C., & Murdoch, D. R. (2011) · The Lancet · doi:10.1016/s0140-6736(10)61459-6 · Cited by 1,124
Nair, H., Simões, E. A., Rudan, I., Gessner, B. D., Azziz-Baumgartner, E., Zhang, J. S. F., Feikin, D. R., Mackenzie, G. A., Moiïsi, J. C., Roca, A., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(12)61901-1 · Cited by 779
Viral and Bacterial Interactions in the Upper Respiratory Tract
Bosch, A. A. T. M., Biesbroek, G., Trzcinski, K., Sanders, E. A. M., & Bogaert, D. (2013) · PLoS Pathogens · doi:10.1371/journal.ppat.1003057 · Cited by 651
Etiological and epidemiological features of acute respiratory infections in China
Li, Z.-J., Zhang, H.-Y., Ren, L.-L., Lu, Q.-B., Ren, X., Zhang, C.-H., Wang, Y.-F., Lin, S.-H., Zhang, X.-A., Li, J., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-25120-6 · Cited by 530
Self-citationNational Inpatient Hospital Costs: The Most Expensive Conditions by Payer, 2011
Torio, C. M., & Andrews, R. M. (2013) · Cited by 406
Active case finding with case management: the key to tackling the COVID-19 pandemic
Li, Z., Chen, Q., Feng, L., Rodewald, L., Xia, Y., Yu, H., Zhang, R., An, Z., Yin, W., Chen, W., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31278-2 · Cited by 333
Self-citationThe role of co-infections and secondary infections in patients with COVID-19
Feldman, C., & Anderson, R. (2021) · Pneumonia · doi:10.1186/s41479-021-00083-w · Cited by 319
Cited by
Li, L., Wan, Y., Wang, Y., Tao, Y., Long, X., Liu, E., & Deng, Y. (2025) · BMC Microbiology · doi:10.1186/s12866-025-04066-5 · Cited by 2
Zhu, Y., Wu, J., Hou, L., Liu, X., Zhu, X., Xia, W., Wang, N., Zhao, Y., Zhao, G., & Song, P. (2026) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2026.2716519
Metadata
- Authors
- Liu, Y.-N., Zhang, Y.-F., Xu, Q., Qiu, Y., Lu, Q.-B., Wang, T., Zhang, X.-A., Lin, S.-H., Lv, C.-L., Jiang, B.-G., Li, H., Li, Z.-J., Gao, G. F., Yang, W.-Z., Hay, S. I., Wang, L.-P., Fang, L.-Q., & Liu, W.
- Venue
- The Lancet Microbe
- Publisher
- Elsevier BV
- Published
- 2023-05
- Volume
- 4
- Issue
- 5
- Pages
- e330-e339
- ISSN
- 2666-5247 (ISSN-L)
- OpenAlex
- W4361212691
- Cited by
- 291
- References
- 24
- FWCI
- 48.67
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Infection and co-infection patterns of community-acquired pneumonia in patients of different ages in China from 2009 to 2020: a national surveillance study. https://app.cochat.ai/papers/10.1016/s2666-5247(23)00031-9
- The paper
- Liu, Y.-N., Zhang, Y.-F., Xu, Q., Qiu, Y., Lu, Q.-B., Wang, T., Zhang, X.-A., Lin, S.-H., Lv, C.-L., Jiang, B.-G., Li, H., Li, Z.-J., Gao, G. F., Yang, W.-Z., Hay, S. I., Wang, L.-P., Fang, L.-Q., & Liu, W. (2023). Infection and co-infection patterns of community-acquired pneumonia in patients of different ages in China from 2009 to 2020: a national surveillance study. The Lancet Microbe. https://doi.org/10.1016/s2666-5247(23)00031-9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.