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Neuroleptic malignant syndrome. Review of response to therapy
Abstract
The purpose of this study was to evaluate options available for the treatment of neuroleptic malignant syndrome. We conducted a computer search of English-language literature using a Medline database and review of bibliographies of identified articles. Sixty-four case reports containing sufficient data about patients' demographics and clinical response to therapy to allow evaluation were combined with three previously unreported cases. The mean time to clinical response was 6.8 days when supportive measures alone were used in the treatment of neuroleptic malignant syndrome. The addition of dantrolene (response time, 1.15 days) or bromocriptine (response time, 1.03 days) significantly shortened the time to clinical response. We conclude that the addition of either dantrolene or bromocriptine to conservative measures decreases the time to clinical response. A randomized trial would address potential case selection biases.
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Cited by
Neuroleptic Malignant Syndrome
Strawn, J. R., Keck, P. E., & Caroff, S. N. (2007) · American Journal of Psychiatry · doi:10.1176/ajp.2007.164.6.870 · Cited by 579
Neuroleptic Malignant Syndrome: A Review from a Clinically Oriented Perspective
Tse, L., Barr, A., Scarapicchia, V., & Vila-Rodriguez, F. (2015) · Current Neuropharmacology · doi:10.2174/1570159x13999150424113345 · Cited by 179
Metadata
- Authors
- Rosenberg, M.
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 1989-09-01
- Volume
- 149
- Issue
- 9
- Pages
- 1927
- ISSN
- 0003-9926 (ISSN-L)
- OpenAlex
- W2066143062
- Cited by
- 185
- References
- 0
- FWCI
- 6.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rosenberg, M. (1989). Neuroleptic malignant syndrome. Review of response to therapy. Archives of Internal Medicine. https://doi.org/10.1001/archinte.149.9.1927
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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.