The DOI matches its Crossref record.
Treatment of Septic Shock with Human Monoclonal Antibody HA-1A: A Randomized, Double-Blind, Placebo-Controlled Trial
Abstract
OBJECTIVE: To compare the effectiveness of 100 mg of HA-1A and placebo in reducing the 14-day all-cause mortality rate in patients with septic shock and gram-negative bacteremia in the Centocor: HA-1A Efficacy in Septic Shock (CHESS) trial, and to assess the safety of 100 mg of HA-1A given to patients with septic shock who did not have gram-negative bacteremia. DESIGN: Large, simple, group-sequential, randomized, double-blind, multicenter, placebo-controlled trial. SETTING: 603 investigators at 513 community and university-affiliated hospitals in the United States. PATIENTS: Within 6 hours before enrollment, the patients had been in shock with a systolic blood pressure of less than 90 mm Hg after adequate fluid challenge or had received vasopressors to maintain blood pressure. These episodes of shock began within 24 hours of enrollment. A presumptive clinical diagnosis of gram-negative infection as the cause of the shock episode and a commitment from the patients' physicians to provide full supportive care were required. MEASUREMENTS: Blood cultures were obtained within 48 hours of enrollment, and death at day 14 after treatment was recorded. Adverse events occurring within 14 days after enrollment were also tabulated. RESULTS: 2199 patients were enrolled; 621 (28.2%) met all enrollment criteria, received HA-1A or placebo, and had confirmed gram-negative bacteremia. Mortality rates in this group were as follows: placebo, 32% (95 and HA-1A, 33% (109 of 328) (P = 0.864, Fisher exact test, two-tailed; 95% CI for the difference, -6.2% to 8.6%). Mortality rates in the patients without gram-negative bacteremia were as follows: placebo, 37% (292 of 793) and HA-1A, 41% (318 of 785) (P = 0.073, Fisher exact test, one-tailed; CI, -0.8% to 8.8%). CONCLUSIONS: In this trial, HA-1A was not effective in reducing the 14-day mortality rate in patients with gram-negative bacteremia and septic shock. These data do not support using septic shock as an indication for HA-1A treatment. If HA-1A is effective in reducing the mortality rate in patients dying from endotoxemia, these patients must be identified using other treatment criteria.
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
Vincent, J.-L., de Mendonca, A., Cantraine, F., Moreno, R., Takala, J., Suter, P. M., Sprung, C. L., Colardyn, F., & Blecher, S. (1998) · Critical Care Medicine · doi:10.1097/00003246-199811000-00016 · Cited by 3,463
Contradicted and Initially Stronger Effects in Highly Cited Clinical Research
Ioannidis, J. P. A. (2005) · JAMA · doi:10.1001/jama.294.2.218 · Cited by 1,465
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
Dellinger, R. P., Bagshaw, S. M., Antonelli, M., Foster, D. M., Klein, D. J., Marshall, J. C., Palevsky, P. M., Weisberg, L. S., Schorr, C. A., Trzeciak, S., et al. (2018) · JAMA · doi:10.1001/jama.2018.14618 · Cited by 502
Sanlioglu, S., Williams, C. M., Samavati, L., Butler, N. S., Wang, G., McCray, P. B., Ritchie, T. C., Hunninghake, G. W., Zandi, E., & Engelhardt, J. F. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m102061200 · Cited by 395
Fink, M. P. (2014) · Virulence · doi:10.4161/viru.26083 · Cited by 391
Endotoxemia: Methods of detection and clinical correlates
Hurley, J. C. (1995) · Clinical Microbiology Reviews · doi:10.1128/cmr.8.2.268 · Cited by 318
Heart rate variability as early marker of multiple organ dysfunction syndrome in septic patients
Pontet, J., Contreras, P., Curbelo, A., Medina, J., Noveri, S., Bentancourt, S., & Migliaro, E. R. (2003) · Journal of Critical Care · doi:10.1016/j.jcrc.2003.08.005 · Cited by 195
Escames, G., Acuña-Castroviejo, D., López, L. C., Tan, D.-X., Maldonado, M. D., Sánchez-Hidalgo, M., León, J., & Reiter, R. J. (2006) · Journal of Pharmacy and Pharmacology · doi:10.1211/jpp.58.9.0001 · Cited by 118
Nguyen, M., Gautier, T., Masson, D., Bouhemad, B., & Guinot, P.-G. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12072579 · Cited by 25
“It is also possible to directly target the LPS-TLR-4axis by anti-LPS [75,76] treatment, TLR-blockade [77,78] or anti-cytokine treatment [79,80].”
Background
Metadata
- Authors
- McCloskey, R. V., Straube, R. C., Sanders, C., Smith, S. M., Smith, C. R., & and CHESS Trial Study Group.
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 1994-07-01
- Volume
- 121
- Issue
- 1
- Pages
- 1-5
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- OpenAlex
- W2027792306
- Cited by
- 495
- References
- 0
- FWCI
- 26.90
- 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.