The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Plasma DNA concentration as a predictor of mortality and sepsis in critically ill patients
Open accessAbstract
Introduction: Risk stratification of severely ill patients remains problematic, resulting in increased interest in potential circulating markers, such as cytokines, procalcitonin and brain natriuretic peptide. Recent reports have indicated the usefulness of plasma DNA as a prognostic marker in various disease states such as trauma, myocardial infarction and stroke. The present study assesses the significance of raised levels of plasma DNA on admission to the intensive care unit (ICU) in terms of its ability to predict disease severity or prognosis. Methods: Fifty-two consecutive patients were studied in a general ICU. Blood samples were taken on admission and were stored for further analysis. Plasma DNA levels were estimated by a PCR method using primers for the human β-haemoglobin gene. Results: Sixteen of the 52 patients investigated died within 3 months of sampling. Nineteen of the 52 patients developed either severe sepsis or septic shock. Plasma DNA was higher in ICU patients than in healthy controls and was also higher in patients who developed sepsis (192 (65–362) ng/ml versus 74 (46–156) ng/ml, P = 0.03) or who subsequently died either in the ICU (321 (185–430) ng/ml versus 71 (46–113) ng/ml, P < 0.001) or in hospital (260 (151–380) ng/ml versus 68 (47–103) ng/ml, P < 0.001). Plasma DNA concentrations were found to be significantly higher in patients who died in the ICU. Multiple logistic regression analysis determined plasma DNA to be an independent predictor of mortality (odds ratio, 1.002 (95% confidence interval, 1.0–1.004), P = 0.05). Plasma DNA had a sensitivity of 92% and a specificity of 80% when a concentration higher than 127 ng/ml was taken as a predictor for death on the ICU. Conclusion: Plasma DNA may be a useful prognostic marker of mortality and sepsis in intensive care patients.
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
Vincent, J. L., Moreno, R., Takala, J., Willatts, S., De Mendonça, A., Bruining, H., Reinhart, C. K., Suter, P. M., & Thijs, L. G. (1996) · Intensive Care Medicine · doi:10.1007/bf01709751 · Cited by 11,674
Cited by
Pierrakos, C., & Vincent, J.-L. (2010) · Critical Care · doi:10.1186/cc8872 · Cited by 1,377
Moss, J., Magenheim, J., Neiman, D., Zemmour, H., Loyfer, N., Korach, A., Samet, Y., Maoz, M., Druid, H., Arner, P., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07466-6 · Cited by 1,012
Consequences of ineffective decellularization of biologic scaffolds on the host response
Keane, T. J., Londono, R., Turner, N. J., & Badylak, S. F. (2012) · Biomaterials · doi:10.1016/j.biomaterials.2011.10.054 · Cited by 613
Denning, N.-L., Aziz, M., Gurien, S. D., & Wang, P. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02536 · Cited by 623
Next-generation sequencing diagnostics of bacteremia in septic patients
Grumaz, S., Stevens, P., Grumaz, C., Decker, S. O., Weigand, M. A., Hofer, S., Brenner, T., von Haeseler, A., & Sohn, K. (2016) · Genome Medicine · doi:10.1186/s13073-016-0326-8 · Cited by 351
Metadata
- Authors
- Rhodes, A., Wort, S. J., Thomas, H., Collinson, P., & Bennett, E. D.
- Venue
- Critical Care
- Published
- 2006-04-13
- Volume
- 10
- Issue
- 2
- Pages
- R60-R60
- ISSN
- 1364-8535 (ISSN-L)
- OpenAlex
- W1606757718
- Cited by
- 228
- References
- 1
- FWCI
- 4.43
- 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: Plasma DNA concentration as a predictor of mortality and sepsis in critically ill patients. https://app.cochat.ai/papers/10.1186/cc4894
- The paper
- Rhodes, A., Wort, S. J., Thomas, H., Collinson, P., & Bennett, E. D. (2006). Plasma DNA concentration as a predictor of mortality and sepsis in critically ill patients. Critical Care. https://doi.org/10.1186/cc4894
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.