The DOI matches its Crossref record.
Plasma Cytokine and Endotoxin Levels Correlate with Survival in Patients with the Sepsis Syndrome
Abstract
OBJECTIVE: To determine whether plasma tumor necrosis factor-alpha (TNF-alpha), interleukin-1 beta (IL-1 beta), interleukin-6 (IL-6), and lipopolysaccharide are detectable in patients when they first present with the sepsis syndrome and to determine whether levels correlate with patient survival. DESIGN: Prospective study comparing patients with the sepsis syndrome, critically ill patients without sepsis, and normal healthy volunteers. SETTING: Tertiary care hospital affiliated with a medical school. PATIENTS: The study included 97 consecutive patients on a medical service who met the criteria for the sepsis syndrome; 20 critically ill patients without sepsis who were in the medical intensive care unit; and 20 healthy volunteers who served as comparison groups. MEASUREMENTS: Plasma tumor necrosis factor-alpha, IL-1 beta, interleukin-6, and endotoxin (lipopolysaccharide) levels were measured when a patient was first identified as having the sepsis syndrome. Survival was defined as being alive 30 days after the sepsis syndrome was diagnosed. RESULTS: Fifty-four percent of patients with the sepsis syndrome had detectable levels of TNF-alpha (median, 26 pg/mL; range, nondetectable to 1000 pg/mL); 37% had detectable levels of IL-1 (median, 20 pg/mL; range, nondetectable to 2850 pg/mL); 80% had detectable levels of IL-6 (median, 415 pg/mL; range, nondetectable to 2380 pg/mL); and 89% had detectable levels of lipopolysaccharide (median, 2.6; range, nondetectable to 12.5 endotoxin units [EU]/mL). In all cases levels were higher than those in critically ill patients without sepsis and normal healthy controls (P < 0.001 for all comparisons). Plasma levels of TNF-alpha, IL-1 beta, IL-6, and lipopolysaccharide were detectable in patients regardless of culture status. The IL-6 level was 69% (95% CI, 30% to 108%) higher in patients who died compared with those who survived. The scores for the individual levels of TNF-alpha, IL-1 beta, IL-6, and lipopolysaccharide were summed to arrive at a total lipopolysaccharide-cytokine score, and mortality increased with lipopolysaccharide-cytokine score (P < 0.001). CONCLUSIONS: Patients with the sepsis syndrome have detectable levels of circulating TNF-alpha, IL-1, IL-6, and lipopolysaccharide independent of culture-documented infection. Lipopolysaccharide and cytokines may play a pathogenic role in sepsis, and the combination of several elevated factors may be important in determining patient survival.
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
Cited by
Systems biological assessment of immunity to mild versus severe COVID-19 infection in humans
Arunachalam, P. S., Wimmers, F., Mok, C. K. P., Perera, R. A. P. M., Scott, M., Hagan, T., Sigal, N., Feng, Y., Bristow, L., Tak-Yin Tsang, O., et al. (2020) · Science · doi:10.1126/science.abc6261 · Cited by 1,186
Epidemiology of sepsis: an update
Angus, D. C., & Wax, R. S. (2001) · Critical Care Medicine · doi:10.1097/00003246-200107001-00035 · Cited by 813
Why have clinical trials in sepsis failed?
Marshall, J. C. (2014) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2014.01.007 · Cited by 805
Inflammatory Cytokines in the BAL of Patients With ARDS
Meduri, G. U., Kohler, G., Headley, S., Tolley, E., Stentz, F., & Postlethwaite, A. (1995) · Chest · doi:10.1378/chest.108.5.1303 · Cited by 695
Opal, S. M., Scannon, P. J., Vincent, J., White, M., Carroll, S. F., Palardy, J. E., Parejo, N. A., Pribble, J. P., & Lemke, J. H. (1999) · The Journal of Infectious Diseases · doi:10.1086/315093 · Cited by 609
Fernández, J., Acevedo, J., Wiest, R., Gustot, T., Amoros, A., Deulofeu, C., Reverter, E., Martínez, J., Saliba, F., Jalan, R., et al. (2018) · Gut · doi:10.1136/gutjnl-2017-314240 · Cited by 572
Inflammatory Markers at Hospital Discharge Predict Subsequent Mortality after Pneumonia and Sepsis
Yende, S., D'Angelo, G., Kellum, J. A., Weissfeld, L., Fine, J., Welch, R. D., Kong, L., Carter, M., & Angus, D. C. (2008) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200712-1777oc · Cited by 434
Endotoxemia: Methods of detection and clinical correlates
Hurley, J. C. (1995) · Clinical Microbiology Reviews · doi:10.1128/cmr.8.2.268 · Cited by 318
An NF-κB-microRNA regulatory network tunes macrophage inflammatory responses
Mann, M., Mehta, A., Zhao, J. L., Lee, K., Marinov, G. K., Garcia-Flores, Y., Lu, L.-F., Rudensky, A. Y., & Baltimore, D. (2017) · Nature Communications · doi:10.1038/s41467-017-00972-z · Cited by 275
Reinisch, W., Gasché, C., Tillinger, W., Wyatt, J., Lichtenberger, C., Willheim, M., Dejaco, C., Waldhör, T., Bakos, S., Vogelsang, H., et al. (1999) · American Journal of Gastroenterology · doi:10.1111/j.1572-0241.1999.01288.x · Cited by 150
Michel, O., LeVan, T. D., Stern, D., Dentener, M., Thorn, J., Gnat, D., Beijer, M. L., Cochaux, P., Holt, P. G., Martinez, F. D., et al. (2003) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2003.05.001 · Cited by 147
Gierens, H., Nauck, M., Roth, M., Schinker, R., Schürmann, C., Scharnagl, H., Neuhaus, G., Wieland, H., & März, W. (2000) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.20.7.1777 · Cited by 131
Endotoxin Stimulates Hepatocyte Interleukin-6 Production
Panesar, N., Tolman, K., & Mazuski, J. E. (1999) · Journal of Surgical Research · doi:10.1006/jsre.1999.5648 · Cited by 56
Su, D., Roth, R. I., & Levin, J. (1999) · Critical Care Medicine · doi:10.1097/00003246-199904000-00034 · Cited by 50
Leventhal, J. S., Ni, J., Osmond, M., Lee, K., Gusella, G. L., Salem, F., & Ross, M. J. (2016) · PLOS ONE · doi:10.1371/journal.pone.0150001 · Cited by 47
“Septic AKI is an important clinical problem and is characterized by acute RTEC injury occurring in the setting of severe infection, which is often accompanied by increased systemic levels of bacteria-derived molecules, including LPS [1].”
BackgroundHorino, T., Matsumoto, T., Uramatsu, M., Tanabe, M., Tateda, K., Miyazaki, S., Nakane, A., Iwakura, Y., & Yamaguchi, K. (2005) · Cytokine · doi:10.1016/j.cyto.2005.01.002 · Cited by 13
Metadata
- Authors
- Casey, L. C., Balk, R. A., & Bone, R. C.
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 1993-10-15
- Volume
- 119
- Issue
- 8
- Pages
- 771-778
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- OpenAlex
- W1988243363
- Cited by
- 1,041
- References
- 0
- FWCI
- 47.80
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.