The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Burden of Six Healthcare-Associated Infections on European Population Health: Estimating Incidence-Based Disability-Adjusted Life Years through a Population Prevalence-Based Modelling Study
Open accessAbstract
BACKGROUND: Estimating the burden of healthcare-associated infections (HAIs) compared to other communicable diseases is an ongoing challenge given the need for good quality data on the incidence of these infections and the involved comorbidities. Based on the methodology of the Burden of Communicable Diseases in Europe (BCoDE) project and 2011-2012 data from the European Centre for Disease Prevention and Control (ECDC) point prevalence survey (PPS) of HAIs and antimicrobial use in European acute care hospitals, we estimated the burden of six common HAIs. METHODS AND FINDINGS: The included HAIs were healthcare-associated pneumonia (HAP), healthcare-associated urinary tract infection (HA UTI), surgical site infection (SSI), healthcare-associated Clostridium difficile infection (HA CDI), healthcare-associated neonatal sepsis, and healthcare-associated primary bloodstream infection (HA primary BSI). The burden of these HAIs was measured in disability-adjusted life years (DALYs). Evidence relating to the disease progression pathway of each type of HAI was collected through systematic literature reviews, in order to estimate the risks attributable to HAIs. For each of the six HAIs, gender and age group prevalence from the ECDC PPS was converted into incidence rates by applying the Rhame and Sudderth formula. We adjusted for reduced life expectancy within the hospital population using three severity groups based on McCabe score data from the ECDC PPS. We estimated that 2,609,911 new cases of HAI occur every year in the European Union and European Economic Area (EU/EEA). The cumulative burden of the six HAIs was estimated at 501 DALYs per 100,000 general population each year in EU/EEA. HAP and HA primary BSI were associated with the highest burden and represented more than 60% of the total burden, with 169 and 145 DALYs per 100,000 total population, respectively. HA UTI, SSI, HA CDI, and HA primary BSI ranked as the third to sixth syndromes in terms of burden of disease. HAP and HA primary BSI were associated with the highest burden because of their high severity. The cumulative burden of the six HAIs was higher than the total burden of all other 32 communicable diseases included in the BCoDE 2009-2013 study. The main limitations of the study are the variability in the parameter estimates, in particular the disease models' case fatalities, and the use of the Rhame and Sudderth formula for estimating incident number of cases from prevalence data. CONCLUSIONS: We estimated the EU/EEA burden of HAIs in DALYs in 2011-2012 using a transparent and evidence-based approach that allows for combining estimates of morbidity and of mortality in order to compare with other diseases and to inform a comprehensive ranking suitable for prioritization. Our results highlight the high burden of HAIs and the need for increased efforts for their prevention and control. Furthermore, our model should allow for estimations of the potential benefit of preventive measures on the burden of HAIs in the EU/EEA.
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
Vos, T., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abdulkader, R. S., Abdulle, A. M., Abebo, T. A., Abera, S. F., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32154-2 · Cited by 13,220
Multistate point-prevalence survey of health care-associated infections
Magill, S. S., Edwards, J. R., Bamberg, W., Beldavs, Z. G., Dumyati, G., Kainer, M. A., Lynfield, R., Maloney, M., McAllister-Hollod, L., Nadle, J., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1306801 · Cited by 3,931
GBD 2010: design, definitions, and metrics
Murray, C. J., Ezzati, M., Flaxman, A. D., Lim, S., Lozano, R., Michaud, C., Naghavi, M., Salomon, J. A., Shibuya, K., Vos, T., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61899-6 · Cited by 1,103 · cited 2×
“Data on life expectancywere obtained from the Global Burden of Disease 2010 (GBD 2010) standard reference life table with the same life expectancy for males and females, based on the lowest observeddeath rate for any age group [12].”
Review of disability weight studies: comparison of methodological choices and values
Haagsma, J. A., Polinder, S., Cassini, A., Colzani, E., & Havelaar, A. H. (2014) · Population Health Metrics · doi:10.1186/s12963-014-0020-2 · Cited by 105
Self-citation
Cited by
Genomic insights into the emergence and spread of antimicrobial-resistant bacterial pathogens
Baker, S., Thomson, N., Weill, F.-X., & Holt, K. E. (2018) · Science · doi:10.1126/science.aar3777 · Cited by 401
Markwart, R., Saito, H., Harder, T., Tomczyk, S., Cassini, A., Fleischmann-Struzek, C., Reichert, F., Eckmanns, T., & Allegranzi, B. (2020) · Intensive Care Medicine · doi:10.1007/s00134-020-06106-2 · Cited by 399
Self-citationCassini, A., Colzani, E., Pini, A., Mangen, M.-J. J., Plass, D., McDonald, S. A., Maringhini, G., van Lier, A., Haagsma, J. A., Havelaar, A. H., et al. (2018) · Eurosurveillance · doi:10.2807/1560-7917.es.2018.23.16.17-00454 · Cited by 328
Self-citationBini, F., Soffritti, I., D’Accolti, M., Mazziga, E., Caballero, J. D., David, S., Argimon, S., Aanensen, D. M., Volta, A., Bisi, M., et al. (2025) · BMC Genomics · doi:10.1186/s12864-025-11582-1 · Cited by 11
Metadata
- Authors
- Cassini, A., Plachouras, D., Eckmanns, T., Abu Sin, M., Blank, H.-P., Ducomble, T., Haller, S., Harder, T., Klingeberg, A., Sixtensson, M., Velasco, E., Weiß, B., Kramarz, P., Monnet, D. L., Kretzschmar, M. E., & Suetens, C.
- Venue
- PLOS Medicine
- Publisher
- Public Library of Science (PLoS)
- Published
- 2016-10-18
- Volume
- 13
- Issue
- 10
- Pages
- e1002150
- ISSN
- 1549-1277 (ISSN-L)
- 1549-1676
- OpenAlex
- W2535857064
- Cited by
- 929
- References
- 4
- FWCI
- 74.77
- 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: Burden of Six Healthcare-Associated Infections on European Population Health: Estimating Incidence-Based Disability-Adjusted Life Years through a Population Prevalence-Based Modelling Study. https://app.cochat.ai/papers/10.1371/journal.pmed.1002150
- The paper
- Cassini, A., Plachouras, D., Eckmanns, T., Abu Sin, M., Blank, H.-P., Ducomble, T., Haller, S., Harder, T., Klingeberg, A., Sixtensson, M., Velasco, E., Weiß, B., Kramarz, P., Monnet, D. L., Kretzschmar, M. E., & Suetens, C. (2016). Burden of Six Healthcare-Associated Infections on European Population Health: Estimating Incidence-Based Disability-Adjusted Life Years through a Population Prevalence-Based Modelling Study. PLOS Medicine. https://doi.org/10.1371/journal.pmed.1002150
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.