The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Mild Therapeutic Hypothermia to Improve the Neurologic Outcome after Cardiac Arrest
Abstract
BACKGROUND: Cardiac arrest with widespread cerebral ischemia frequently leads to severe neurologic impairment. We studied whether mild systemic hypothermia increases the rate of neurologic recovery after resuscitation from cardiac arrest due to ventricular fibrillation. METHODS: In this multicenter trial with blinded assessment of the outcome, patients who had been resuscitated after cardiac arrest due to ventricular fibrillation were randomly assigned to undergo therapeutic hypothermia (target temperature, 32 degrees C to 34 degrees C, measured in the bladder) over a period of 24 hours or to receive standard treatment with normothermia. The primary end point was a favorable neurologic outcome within six months after cardiac arrest; secondary end points were mortality within six months and the rate of complications within seven days. RESULTS: Seventy-five of the 136 patients in the hypothermia group for whom data were available (55 percent) had a favorable neurologic outcome (cerebral-performance category, 1 [good recovery] or 2 [moderate disability]), as compared with 54 of 137 (39 percent) in the normothermia group (risk ratio, 1.40; 95 percent confidence interval, 1.08 to 1.81). Mortality at six months was 41 percent in the hypothermia group (56 of 137 patients died), as compared with 55 percent in the normothermia group (76 of 138 patients; risk ratio, 0.74; 95 percent confidence interval, 0.58 to 0.95). The complication rate did not differ significantly between the two groups. CONCLUSIONS: In patients who have been successfully resuscitated after cardiac arrest due to ventricular fibrillation, therapeutic mild hypothermia increased the rate of a favorable neurologic outcome and reduced mortality.
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
Schulz (1995) · doi:10.1001/jama.1995.03520290060030 · Cited by 5,634
Cited by
Ibanez, B., James, S., Agewall, S., Antunes, M. J., Bucciarelli-Ducci, C., Bueno, H., Caforio, A. L. P., Crea, F., Goudevenos, J. A., Halvorsen, S., et al. (2018) · European Heart Journal · doi:10.1093/eurheartj/ehx393 · Cited by 9,728
2023 ESC Guidelines for the management of acute coronary syndromes
Byrne, R. A., Rossello, X., Coughlan, J. J., Barbato, E., Berry, C., Chieffo, A., Claeys, M. J., Dan, G.-A., Dweck, M. R., Galbraith, M., et al. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad191 · Cited by 5,333
Heidenreich, P. A., Bozkurt, B., Aguilar, D., Allen, L. A., Byun, J. J., Colvin, M. M., Deswal, A., Drazner, M. H., Dunlay, S. M., Evers, L. R., et al. (2022) · Circulation · doi:10.1161/cir.0000000000001063 · Cited by 4,922
Yellon, D. M., & Hausenloy, D. J. (2007) · New England Journal of Medicine · doi:10.1056/nejmra071667 · Cited by 3,797
2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure
Heidenreich, P. A., Bozkurt, B., Aguilar, D., Allen, L. A., Byun, J. J., Colvin, M. M., Deswal, A., Drazner, M. H., Dunlay, S. M., Evers, L. R., et al. (2022) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2021.12.012 · Cited by 2,862
2013 ACCF/AHA Guideline for the Management of ST-Elevation Myocardial Infarction
O'Gara, P. T., Kushner, F. G., Ascheim, D. D., Casey, D. E., Chung, M. K., de Lemos, J. A., Ettinger, S. M., Fang, J. C., Fesmire, F. M., Franklin, B. A., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.11.019 · Cited by 2,625
Gluckman, P. D., Wyatt, J. S., Azzopardi, D., Ballard, R., Edwards, A. D., Ferriero, D. M., Polin, R. A., Robertson, C. M., Thoresen, M., Whitelaw, A., et al. (2005) · The Lancet · doi:10.1016/s0140-6736(05)17946-x · Cited by 2,270
Sepanlou, S. G., Safiri, S., Bisignano, C., Ikuta, K. S., Merat, S., Saberifiroozi, M., Poustchi, H., Tsoi, D., Colombara, D. V., Abdoli, A., et al. (2020) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(19)30349-8 · Cited by 1,714
Chong, Z. Z., Li, F., & Maiese, K. (2005) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2005.02.004 · Cited by 536
Myocardial Protection at a Crossroads: The Need for Translation Into Clinical Therapy
Bolli, R., Becker, L., Gross, G., Mentzer, R., Balshaw, D., & Lathrop, D. A. (2004) · Circulation Research · doi:10.1161/01.res.0000137171.97172.d7 · Cited by 428
Brain temperature and its fundamental properties: a review for clinical neuroscientists
Wang, H., Wang, B., Normoyle, K. P., Jackson, K., Spitler, K., Sharrock, M. F., Miller, C. M., Best, C., Llano, D., & Du, R. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00307 · Cited by 356
EHRA/HRS/APHRS expert consensus on ventricular arrhythmias
Pedersen, C. T., Kay, G. N., Kalman, J., Borggrefe, M., Della-Bella, P., Dickfeld, T., Dorian, P., Huikuri, H., Kim, Y.-H., Knight, B., et al. (2014) · Heart Rhythm · doi:10.1016/j.hrthm.2014.07.024 · Cited by 288
Energetic Trade-Offs and Hypometabolic States Promote Disease Tolerance
Ganeshan, K., Nikkanen, J., Man, K., Leong, Y. A., Sogawa, Y., Maschek, J. A., Van Ry, T., Chagwedera, D. N., Cox, J. E., & Chawla, A. (2019) · Cell · doi:10.1016/j.cell.2019.01.050 · Cited by 286
Out-of-hospital cardiac arrest: prehospital management
Ong, M. E. H., Perkins, G. D., & Cariou, A. (2018) · The Lancet · doi:10.1016/s0140-6736(18)30316-7 · Cited by 226
Astrocyte-enriched miR-29a targets PUMA and reduces neuronal vulnerability to forebrain ischemia
Ouyang, Y., Xu, L., Lu, Y., Sun, X., Yue, S., Xiong, X., & Giffard, R. G. (2013) · Glia · doi:10.1002/glia.22556 · Cited by 144
Kleinman, M. E., de Caen, A. R., Chameides, L., Atkins, D. L., Berg, R. A., Berg, M. D., Bhanji, F., Biarent, D., Bingham, R., Coovadia, A. H., et al. (2010) · Pediatrics · doi:10.1542/peds.2010-2972a · Cited by 86
Is keeping cool still hot? An update on hypothermia in brain injury
Clifton, G. L. (2004) · Current Opinion in Critical Care · doi:10.1097/00075198-200404000-00007 · Cited by 62
Caro-Codón, J., Rey, J. R., Lopez-de-Sa, E., González Fernández, Ó., Rosillo, S. O., Armada, E., Iniesta, Á. M., Fernández de Bobadilla, J., Ruiz Cantador, J., Rodríguez Sotelo, L., et al. (2018) · Resuscitation · doi:10.1016/j.resuscitation.2018.09.015 · Cited by 46
Martin, M., Reignier, J., Le Thuaut, A., Lacherade, J. C., Martin‐Lefèvre, L., Fiancette, M., Vinatier, I., Lebert, C., Bachoumas, K., Yehia, A., et al. (2020) · Journal of Parenteral and Enteral Nutrition · doi:10.1002/jpen.1596 · Cited by 29
Turner-McGrievy, G. M., Wilcox, S., Frongillo, E. A., Murphy, E. A., Hutto, B., Wilson, M., Davey, M., Bernhart, J. A., Okpara, N., Bailey, S., et al. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.50626 · Cited by 27
A mathematical model of intracranial pressure dynamics for brain hypothermia treatment
Gaohua, L., & Kimura, H. (2006) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2005.06.036 · Cited by 19
Pellegrini, M., Itani, L., Rossi, A. P., Kreidieh, D., El Masri, D., Tannir, H., & El Ghoch, M. (2022) · Healthcare · doi:10.3390/healthcare10102042 · Cited by 11
“In the last few decades, there has been a growing interest in a new phenotype defined as sarcopenic obesity (SO) [1,2], which combines a reduction in muscle mass and strength with an increase in body fat deposition [3].”
BackgroundNeuroprotection: Lessons from a Spectrum of Neurological Disorders
Galpern, W. R., & Singhal, A. B. (2006) · International Journal of Stroke · doi:10.1111/j.1747-4949.2006.00023.x · Cited by 4
Metadata
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2002-02-21
- Volume
- 346
- Issue
- 8
- Pages
- 549-556
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2104869294
- Cited by
- 5,220
- References
- 1
- FWCI
- 196.20
- 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.
