The DOI matches its Crossref record.
Fever in Acute Stroke Worsens Prognosis: A Prospective Study
Abstract
Background and Purpose No definitive data are yet available on the effects of body temperature on neurological damage after cerebral ischemia in humans. Experimental animal models have provided much evidence, but to our knowledge, only two studies on the relationship between fever and prognosis of stroke in humans have been published. The aim of our study was to investigate the prognostic role of fever in the first 7 days of hospitalization in a cohort of patients admitted to our hospital for acute stroke. Methods We analyzed the data of 183 patients included in a prospective observational prognostic study. Vital status at 30 days was considered the main outcome and was obtained for all patients. Age, level of consciousness, and glycemia at the time of hospitalization were considered covariates for an exact logistic regression analysis. The maximum temperature recorded during the first 7 days dichotomized as “no or low fever” versus “high fever” was added to the model. Death within 10 days, taken as a secondary outcome suggestive of death from neurological causes, was analyzed with exact permutation tests. Results Of the 183 patients analyzed in this study, 43% had fever during the first 7 days after hospitalization. The mean value of the maximum temperature recorded during the first 7 days in the 78 febrile patients was 38.3°C, and the median was 37.9°C. Onset of fever occurred in only 15% of febrile patients during the first day and in 49% on the second. The prognostic roles of age, level of consciousness, and glycemia were confirmed by exact logistic regression. Degree of consciousness impairment was the strongest prognostic variable, with an odds ratio (OR) of 11.4 (95% confidence interval [CI], 4.4 to 31.6). High fever (maximum temperature recorded during the first 7 days ≥37.9°C) was an independent factor for a worse prognosis, with an OR of 3.4 (95% CI, 1.2 to 9.5). The OR of dying within 10 days versus dying between 11 and 30 days was 4.9 (95% CI, 1.2 to 25.2) in patients with high fever with respect to all other patients. Conclusions Fever in the first 7 days was an independent predictor of poor outcome during the first month after a stroke. No data were available on the underlying causes of fever, but the higher risk of death in the first 10 days, most frequently attributed to neurological mechanisms, suggested that high temperature was an independent component of poor prognosis and not only an epiphenomenon of other complications in the course after a stroke. In agreement with animal studies, we found that patients with higher temperature had a worse stroke outcome.
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
Adams, H. P., Adams, R. J., Brott, T., del Zoppo, G. J., Furlan, A., Goldstein, L. B., Grubb, R. L., Higashida, R., Kidwell, C., Kwiatkowski, T. G., et al. (2003) · Stroke · doi:10.1161/01.str.0000064841.47697.22 · Cited by 1,245
Mechanisms of action, physiological effects, and complications of hypothermia
Polderman, K. H. (2009) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181aa5241 · Cited by 1,163
Cytokines and acute neurodegeneration
Allan, S. M., & Rothwell, N. J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094583 · Cited by 1,123
Interleukin-1 and neuronal injury
Allan, S. M., Tyrrell, P. J., & Rothwell, N. J. (2005) · Nature Reviews Immunology · doi:10.1038/nri1664 · Cited by 992
Combating Hyperthermia in Acute Stroke: A Significant Clinical Concern
Ginsberg, M. D., & Busto, R. (1998) · Stroke · doi:10.1161/01.str.29.2.529 · Cited by 485
Metadata
- Authors
- Azzimondi, G., Bassein, L., Nonino, F., Fiorani, L., Vignatelli, L., Re, G., & D’Alessandro, R.
- Venue
- Stroke
- Published
- 1995-11
- Volume
- 26
- Issue
- 11
- Pages
- 2040-2043
- ISSN
- 0039-2499 (ISSN-L)
- 1524-4628
- OpenAlex
- W2107806508
- Cited by
- 437
- References
- 0
- FWCI
- 9.44
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Fever in Acute Stroke Worsens Prognosis: A Prospective Study. https://app.cochat.ai/papers/10.1161/01.str.26.11.2040
- The paper
- Azzimondi, G., Bassein, L., Nonino, F., Fiorani, L., Vignatelli, L., Re, G., & D’Alessandro, R. (1995). Fever in Acute Stroke Worsens Prognosis: A Prospective Study. Stroke. https://doi.org/10.1161/01.str.26.11.2040
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.