Abstract
Objective
Neuroleptic malignant syndrome (NMS) is a neurological emergency rarely encountered in clinical practice but with a high mortality rate. Cases associated with atypical antipsychotic use or termination of dopamine agonists have been seen in recent years. The purpose of this study was to assess the presence of risk factors for mortality by investigating all clinical and laboratory characteristics of cases with NMS.
Material and methods
This descriptive, cross-sectional study retrospectively investigated all clinical and laboratory characteristics by scanning the ICD-10 codes of patients presenting to the XXXX Faculty of Medicine Emergency Department and diagnosed with NMS between 2006 and 2016. Patients were divided into surviving and non-surviving groups, and the data elicited were subjected to statistical comparisons.
Results
The mean age of the 18 patients diagnosed with NMS was 46.9 ± 4.8 years, and 50% were women. In addition to antipsychotics among the drugs leading to NMS, the syndrome also developed as a result of levodopa withdrawal in three patients and metoclopramide use in one patient. Statistically significant differences were determined between the surviving and non-surviving patients in terms of blood pressure, blood urea nitrogen (BUN), creatine kinase (CK) and mean platelet volume (MPV) values (p ≤ 0.05).
Conclusion
In this study the most common agent that cause NMS was atypical antipsychotics. Also advanced age, increased blood pressure and serum CK, BUN and MPV values were identified as potential risk factors for mortality in NMS.
1. Introduction
Neuroleptic malignant syndrome (NMS) is a life-threatening neurological emergency that occurs following use of neuroleptic drugs and other dopamine antagonists or termination of a dopamine agonist and characterized by altered mental state, fever, rigidity and autonomic dysfunction. Although typical neuroleptics exhibiting an antagonist effect on dopamine receptors are frequently involved in the etiology, there are also reports in the literature of cases of NMS caused by drugs from various different groups.1, 2 Diagnostic criteria are used to overcome the diagnostic difficulty in NMS (Table 1).3 There are no specific laboratory findings used in diagnosis, but in addition to increasing creatine kinase (CK) associated with muscle destruction, accompanying leukocytosis, increased serum aminotransferases (AST and ALT), electrolyte anomalies (hyperkalemia, hypo-hypernatremia or hypocalcemia), increased lactate dehydrogenase (LDH) and metabolic acidosis may be seen.4
Table 1.
Diagnostic criteria for NMS.
| Criteria | Characteristics | At least |
|---|---|---|
| History of drug use |
|
1 |
| Major criteria |
|
2 |
| Minor criteria |
|
4 |
The first stage in the treatment of NMS is to stop the agent responsible or to resume the discontinued dopamine agonist. In the second stage, intensive supportive therapy is applied. Dantrolene, a centrally acting muscle relaxant recommended for specific therapy but lacking sufficient levels of evidence for its efficacy, and the dopamine agonist bromocriptine and amantadine are pharmacological agents capable of use in addition to supportive therapy.5, 6 Mortality rates associated with complications of NMS, such as rhabdomyolysis, acute kidney failure, respiratory failure, cardiovascular collapse, aspiration pneumonia and disseminated intravascular coagulation, approach 50%, but this decreases to approximately 5% with adequate supportive therapy in cases without complications.7 Early commencement of treatment through early diagnosis in emergency departments and the determination of prognostic factors affecting mortality are therefore important in terms of survival. Since the incidence of NMS in the community is low, evidence-based data concerning the epidemiology and clinical and pharmacological risk factors are limited. Our purpose was therefore to evaluate the epidemiological and clinical characteristics of patients diagnosed with NMS in our hospital and, in particular, to identify prognostic factors capable of affecting mortality by comparing the clinical and laboratory features of death and survived cases.
2. Materials and methods
In this cross-sectional, descriptive study, following receipt of ethical committee approval, patients aged 18 or over presenting to the Karadeniz Technical University Faculty of Medicine Emergency Department in 2006–2016 and diagnosed with NMS were identified by scanning their ICD-10 codes from the hospital computer software system, and patient files obtained from the archive were examined retrospectively. Cases with incorrect ICD-10 entries and patients with incomplete record data were excluded. Patients' ICD-10 diagnoses were confirmed on the bases of the NMS criteria shown in Table 1. The diagnosis of NMS was made in the presence of at least two of the major and four minor diagnostic criteria. Cases' demographic characteristics, existing diseases, clinical and laboratory findings, all drugs used, lengths of stay in hospital and survival were evaluated. Cases were divided into two groups on the bases of clinical outcomes death and recovery. All data were transferred to and analyzed on IBM Statistical Package for the Social Sciences 23.0 (IBM SPSS Inc., Chicago, IL, USA) software. The Mann Whitney U test was used to compare the two groups' non-parametric data, and p values ≤ 0.05 were regarded as statistically significant.
3. Results
Records were available for all 18 patients diagnosed with NMS among the 505,520 patients presenting to the emergency department in 2006–2016. According to our records, the rate of NMS among patients presenting to our hospital in the previous 10 years was 0.004%.
The distribution of patients' clinical characteristics is shown in Table 2, Table 3. Half of the patients were women, and the general median age was 43.5 (IQR, 30.2–67.2). The most common existing chronic diseases among the patients were schizophrenia at 27.8% (n = 5), Parkinson's disease at 22.2% (n = 4), and mental retardation at 16.7% (n = 3), with lower incidences of substance dependence, dementia, bipolar disorder, acute psychosis and delirium. A history of use of two or more drugs was present in 88.9% (n = 16) of cases, and of antipsychotic drug use in 77.8% (n = 14). Drug use was at therapeutic doses in all NMS cases. The most common antipsychotic agents used by NMS patients were atypical antipsychotic agents (78.6%, n = 11).
Table 2.
Characteristics of NMS cases.
| No. | Age, sex (M: Male, F: Female) | Disease | Drugs used | TA (mmHg) | Pulse (min) | Temperature (°C) | GCS | Clinical symptoms and findings | Outcome | Length of stay in hospital (Day) | Causes of death |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 47, F | Schizophrenia | Alprazolam, quetiapine, aripiprazole, paliperidone | 164/123 | 113 | 38.6 | 8 | Muscular rigidity, sweating, dysphagia, tremor, incontinence, altered consciousness, mutism | Death | 10 | Sepsis |
| 2 | 75, M | Schizophrenia | Biperiden, mirtazapine, paroxetine, amisulpride, clozapine, risperidone | 160/140 | 170 | 39.0 | 9 | Muscular rigidity, sweating, dysphagia, tremor, incontinence, altered consciousness, mutism | Death | 2 | Respiratory failure |
| 3 | 76, F | Parkinson | Levodopa (withdrwal), pramipexole, gabapentin, paroxetine, amitriptyline | 180/100 | 140 | 39.3 | 10 | Muscular rigidity, sweating, tremor, altered consciousness, mutism | Death | 42 | Sepsis |
| 4 | 42, M | Mental retardation | Biperiden, olanzapine | 170/100 | 117 | 38.4 | 12 | Muscular rigidity, sweating, tremor, altered consciousness | Recovery | 32 | |
| 5 | 43, F | Bipolar disorder | Biperiden, amitriptyline, lithium, phenothiazine, chlorpromazine, quetiapine | 90/60 | 122 | 39.1 | 11 | Muscular rigidity, sweating, tremor, altered consciousness, mutism | Recovery | 19 | |
| 6 | 64, F | Bipolar disorder | Valproic acid, lorazepam, haloperidol, quetiapine, olanzapine | 140/80 | 108 | 38.0 | 13 | Muscular rigidity, tremor, altered consciousness, | Recovery | 11 | |
| 7 | 20, F | Mental retardation | Risperidone, quetiapine | 110/80 | 80 | 39.0 | 11 | Muscular rigidity, dysphagia, tremor, incontinence altered consciousness, mutism | Recovery | 47 | |
| 8 | 44, M | Schizophrenia +Substance dependence |
Amisulpride | 120/70 | 84 | 38.6 | 12 | Muscular rigidity, sweating, tremor, altered consciousness, mutism | Recovery | 31 | |
| 9 | 18, F | Schizophrenia +acute psychosis |
Clonazepam, amisulpride, olanzapine | 100/80 | 112 | 38.2 | 12 | Muscular rigidity, sweating, tremor, altered consciousness, mutism | Recovery | 22 | |
| 10 | 32, M | Substance dependence | Lorazepam, quetiapine | 110/70 | 92 | 38 | 8 | Muscular rigidity, sweating, altered consciousness, mutism | Recovery | 54 | |
| 11 | 25, M | Mental retardation | Lorazepam, amisulpride | 140/90 | 88 | 37.9 | 13 | Muscular rigidity, sweating, dysphagia, altered consciousness, mutism | Recovery | 19 | |
| 12 | 40, F | Schizophrenia | Biperiden, mirtazapine, olanzapine | 100/60 | 130 | 38.5 | 13 | Altered consciousness mutism | Recovery | 92 | |
| 13 | 46, M | Delirium | Haloperidol, olanzapine | 145/90 | 125 | 38.5 | 12 | sweating, dysphagia, incontinence, altered consciousness, mutism | Recovery | 8 | |
| 14 | 23, K | Acute psychosis | Lorazepam, quetiapine, risperidone | 160/90 | 140 | 39.0 | 11 | Muscular rigidity, tremor, altered consciousness, mutism | Recovery | 33 | |
| 15 | 32,M | No characteristic | Metoclopramide | 140/100 | 120 | 40.0 | 10 | Muscular rigidity, sweating, dysphagia, tremor, incontinence, altered consciousness, mutism | Recovery | 20 | |
| 16 | 79, M | Dementia +Parkinson +Alzheimer |
Levodopa (withdrwal), pramipexole | 150/100 | 112 | 38.2 | 12 | Muscular rigidity, sweating, dysphagia, altered consciousness, mutism | Recovery | 10 | |
| 17 | 74, F | Parkinson | Levodopa, paroxetine, quetiapine | 150/100 | 81 | 37.7 | 10 | Muscular rigidity, sweating, dysphagia, tremor, altered consciousness, mutism | Recovery | 11 | |
| 18 | 65, M | Parkinson | Levodopa (withdrwal), paroxetine | 90/50 | 144 | 40.0 | 7 | Muscular rigidity, sweating, dysphagia, altered consciousness, mutism | Recovery | 9 |
Table 3.
Distribution of clinical symptoms and findings in NMS cases.
| n | % | n | % | ||
|---|---|---|---|---|---|
| Hyperthermia | 18 | 100.0 | Tremor | 11 | 61.1 |
| Muscular rigidity | 17 | 94.4 | Dysphagia | 10 | 55.6 |
| Altered consciousness | 15 | 83.3 | Hypertension | 9 | 50.0 |
| Sweating | 15 | 83.3 | Incontinence | 5 | 27.8 |
| Mutism | 15 | 83.3 | Hypotension | 3 | 16.7 |
| Tachycardia | 13 | 72.2 | Tremor | 11 | 61.1 |
In addition to antipsychotic drugs such as quetiapine, clozapine, risperidone, amisulpride, and haloperidol, the medications leading to the development of NMS also included drugs affecting the central nervous system, such as paroxetine, amitriptyline and lithium. NMS developed following discontinuation of levodopa in three cases and use of metoclopramide in one case (Table 2). Among the three fatal cases of NMS, two cases used more than one neuroleptic agents and a 76-year-old woman with Parkinson's disease used no neuroleptic medication, but NMS developed in association with withdrawal of levodopa and multi-drug use consisting of amitriptyline, pramipexole, gabapentin and paroxetine.
When the death (n = 3) and recovery (n = 15) groups were compared in terms of clinical and laboratory characteristics, statistically significant differences were observed in terms of age, systolic and diastolic blood pressure, blood urea nitrogen (BUN), serum creatine kinase (CK) and mean platelet volume (MPV) values (Table 4) (p ≤ 0.05).
Table 4.
Clinical and laboratory findings of groups in NMS.
| Groups |
p | ||
|---|---|---|---|
| Death (n = 3) | Recovery (n = 15) | ||
| Clinical characteristics (MD, Min-max) | |||
| Age | 75 (47–76) | 42 (18–79) | 0.05 |
| GCS | 9 (8–10) | 12 (7–13) | 0.054 |
| Hearth rate (bpm) | 140 (113–170) | 112 (80–144) | 0.097 |
| SBP (mmHg) | 164 (160–180) | 140 (90–170) | 0.01 |
| DBP (mmHg) | 123 (100–140) | 80 (50–100) | 0.01 |
| Temperature (C°) | 39 (38.6–39.3) | 38.5 (38–40) | 0.191 |
| Length of hospital stay (Day) | 10 (2–42) | 20 (8–92) | 0.34 |
| Laboratory findings (MD, Min-max) | |||
| Glucose NR:74-110 mg/dL |
139 (108–155) | 117 (73–349) | 0.514 |
| BUN NR:6-20 mg/dL |
42 (27–71) | 18 (7–35) | 0.024 |
| Cre NR:0.5-0.9 mg/dL |
1.36 (0.91–2.2) | 0.7 (0.39–1.70) | 0.137 |
| CK NR:38-176 U/L |
5543 (2702–10343) | 1720 (700–3496) | 0.021 |
| AST NR:0-35 U/L |
75 (56–94) | 74 (70–118) | 0.374 |
| ALT NR: 0-45 U/L |
54 (3–106) | 54 (29–94) | 0.373 |
| Troponin NR: < 14 ng/mL |
88.7 (47–538) | 40 (4.2–321) | 0.930 |
| Myoglobin NR: 0-85 ng/mL |
983 (870–3000) | 511 (32–3147) | 0.311 |
| CK-MB NR: 0 - 4.8 U/L |
16.1 (5.5–25.8) | 8.7 (2.2–181) | 0.638 |
| Lactate NR: 4.5-19.8 mg/dL |
15.5 (11–20) | 7.78 (7–10.24) | 0.064 |
| LDH NR:122-222 U/L |
620 (384–669) | 403 (165–620) | 0.097 |
| WBC NR:4800-10800 per μL |
15,900 (14,027–22,270) | 10,000 (1000–26,200) | 0.260 |
| Hemoglobin NR:12-17 g/dL |
13.5 (10.1–16) | 12.6 (9–15.7) | 0.406 |
| Platelet NR:130-400 x 103/μL |
162 (154–327) | 230 (51–474) | 0.767 |
| MPV NR: 7.4-11 fL |
13 (10.3–13.8) | 8.7 (6.2–11.5) | 0.021 |
| RDW NR: 11.6-16.5(%) |
14.3 (13.3–16.1) | 14.2 (12.3–21.5) | 0.767 |
| NLR | 11.2 (3–27.9) | 7.5 (1–32.3) | 0.514 |
According to Mann Whitney U test.
Abbreviations (MD: Median, Min: Minimum, Max: Maximum, NR: Normal Range, GCS: Glasgow Coma Scale, SBP: Systolic Blood Pressure, DBP: Diastolic Blood Pressure, BUN: Blood Urea Nitrogen, Cre: Creatinine AST: Aspartate Aminotranferase, ALT: Alanine Aminotranferase WBC: White Blood Cell, CK: Creatine Kinase, LDH: Lactate Dehydrogenase, MPV: Mean Platelet Volume, RDW: Red Cell Distribution Width, NLR: Neutrophil Lymphocyte Ratio).
4. Discussion
Our study is one of the largest cohort of NMS patients from Turkey. According to results of this study, both neuroleptic and non-neuroleptic drug use were the causes of NMS. Contrary to common belief, atypical antipsychotic drug use was most commonly observed as the cause of NMS in this study, and also we found that advanced age and high CK, BUN and MPV values can be potential risk factors for mortality.
Factors such as age and sex affect the incidence of NMS in addition to various clinical and pharmacological factors. The incidence of NMS among neuroleptic users therefore ranges between 0.024% and 3%.8, 9 There are several reasons for this, such as the population selected and the different diagnostic criteria used. Since ICD-10 coding of subjects using neuroleptics was not possible in our hospital's data recording system we determined the rate as a proportion among all populations. There is no consensus in the literature concerning gender as a potential risk factor for NMS, although the general opinion in the 1980s was that it is more common in males, the reason being the denser muscle mass in men and the clinical manifestation (muscular rigidity and fever secondary to hypermetabolism) being more visible than in women. In contrast, a meta-analysis by Gurrera et al. from 2017 concluded that NMS appeared equally in males and females, but more commonly in young adults.10 Women represented 50% of the cases in our study, and patients' mean age was also compatible with the previous literature.8
Sudden interruption of dopamine reduction is an important agent in the molecular mechanism of the development of NMS. This may result from termination of dopaminergic agent use with dopamine receptor antagonism mediated by neuroleptic or other pharmacological agents.4 Although typical neuroleptics are the most commonly implicated pharmacological agents in the literature, examination of the cases in our study revealed metoclopramide use in one and multiple pharmacological agent use in others, and the level of atypical antipsychotics use was higher compared to other drugs.11, 12, 13 The reason atypical antipsychotics are preferred by psychiatrists that they are superior to typical antipsychotics at side effects.
NMS may be difficult to diagnose since it begins with non-specific symptoms in the early period, such as unexplained tremor, muscular cramps, anxiety, confusion, agitation or catatonia, rather than the principal symptoms and findings such as fever, rigidity, mental state alterations and autonomic instability.4 In one case-controlled study, Berardi et al. particularly described psychomotor agitation, confusion, disorganized behavioral findings, and extrapyramidal findings as potential clinical risk factors for the development of NMS.14 Although there is evidence that the antidopaminergic effect of pharmacological agents is the mechanism underlying clinical and laboratory findings emerging in NMS, there are question marks concerning the mechanism by which agents with no effect on dopamine receptors give rise to the clinical manifestation.15, 16 Analysis of the clinical characteristics of the cases in our study revealed no atypical findings other than mutism, dysphagia and incontinence, in addition to the classic findings. Hyperthermia and altered consciousness were determined in all patients and muscular rigidity was observed at a high level.
There are no 100% specific laboratory findings in NMS, although serum CK elevation increasing in association with muscular rigidity accompanies clinical findings. Serum CK levels exceeding 1000 IU/L and rising are generally correlated with severity of disease and prognosis.17, 18 Other non-specific findings seen in NMS include metabolic acidosis, leukocytosis, increased lactate dehydrogenase and aminotransferases and electrolyte anomalies (hypocalcemia, hypomagnesemia, hypo-hypernatremia and hyperkalemia).19 The findings of this study correlated with literature.
Prognosis varies depending on the presence of complications such as rhabdomyolysis, renal failure, aspiration pneumonia, sepsis and pulmonary embolism. The mortality rate in NMS irrespective of early diagnosis and treatment is 5–20%, but this rises to 70% in the presence of complications.20, 21, 22 In this study, the mortality rate in patients diagnosed with NMS was approximately 17%. Shalev et al. evaluated 202 cases of NMS-associated mortality and identified rhabdomyolysis, myoglobinuria and renal failure as powerful predictors of mortality.7 Additionally, septic shock and respiratory and cardiac failure associated with infections developing secondary to hospitalization have also been reported as important risk factors for mortality.4 When we compared cases of death and recovery groups in terms of outcomes, age and blood pressure were statistically significantly higher in the death group. Advanced age and high blood pressure may therefore be interpreted as factors potentially affecting mortality. When death and recovery groups were compared in terms of laboratory values, CK, BUN and MPV values were statistically significantly higher in the death group. These findings support the idea that rhabdomyolysis and renal function impairment are important risk factors in terms of poor outcome. MPV values are involved in many studies as a current prognostic marker recently. Previous studies have linked MPV elevation with both poor prognosis and infarction area, particularly in patients with ischemic and hemorrhagic stroke, coronary artery disease and acute coronary syndrome.23 There is no study performed relationship between NMS and MPV values. The mechanism involved in this significant elevation observed in fatal cases of NMS is unclear, and further clinical studies involving larger case numbers regarding its potential predictive value for prognosis are needed.
5. Limitations
There are limitations in this study. Due to the clinical rarity of NMS and the hospital's computerized database going back only 10 years, we were only able to access data for patients with entered ICD-10 diagnoses. The retrospective nature of the study also limited our access to all the information in the patient files.
6. Conclusion
In conclusion, despite being a rare disease, NMS is a life-threatening condition in terms of clinical course and outcome that develops in association with neuroleptic and non-neuroleptic drug use. Atypical antipsychotic drug use was most commonly observed in the NMS cases assessed in this study, and advanced age and high CK, BUN and MPV values may be potential risk factors for mortality.
Grant
No.
Conflict of interests statement
The authors declare that they have no significant competing financial, professional or personal interests that might have influenced the performance or presentation of the work described in this manuscript.
Footnotes
Peer review under responsibility of The Emergency Medicine Association of Turkey.
References
- 1.Adnet P., Lestavel P., Krivosic-Horber R. Neuroleptic malignant syndrome. BJA Br J Anaesth. 2000;85:129–135. doi: 10.1093/bja/85.1.129. [DOI] [PubMed] [Google Scholar]
- 2.Gurrera R.J., Mortillaro G., Velamoor V. A validation study of the international consensus diagnostic criteria for neuroleptic malignant syndrome. J Clin Psychopharmacol. 2017;37:67–71. doi: 10.1097/JCP.0000000000000640. [DOI] [PubMed] [Google Scholar]
- 3.Neuroleptic malignant syndrome. POISINDEX® Database. Micromedex solutions [Internet]. Ann Arbor, MI: Truven Health Analytics 2017, Inc. Available from: http://www.micromedexsolutions.com.
- 4.Oruch R., Pryme I.F., Engelsen B.A. Neuroleptic malignant syndrome: an easily overlooked neurologic emergency. Neuropsychiatr Dis Treat. 2017;13:161–175. doi: 10.2147/NDT.S118438. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Sakkas P., Davis J.M., Janicak P.G. Drug treatment of the neuroleptic malignant syndrome. Psychopharmacol Bull. 1991;27:381–384. [PubMed] [Google Scholar]
- 6.Rosebush P.I., Stewart T., Mazurek M.F. The treatment of neuroleptic malignant syndrome. Are dantrolene and bromocriptine useful adjuncts to supportive care? Br J Psychiatry. 1991;159:709–712. doi: 10.1192/bjp.159.5.709. [DOI] [PubMed] [Google Scholar]
- 7.Shalev A., Hermesh H., Munitz H. Mortality from neuroleptic malignant syndrome. J Clin Psychiatry. 1989;50:18–25. [PubMed] [Google Scholar]
- 8.Gurrera R.J., Simpson J.C., Tsuang M.T. Meta-analytic evidence of systematic bias in estimates of neuroleptic malignant syndrome incidence. Compr Psychiatry. 2007;48:205–211. doi: 10.1016/j.comppsych.2006.10.004. [DOI] [PubMed] [Google Scholar]
- 9.Al Owesie R.M., Robert A.A. Delirium followed by neuroleptic malignant syndrome in rehabilitation setting. Is it anger reaction before discharge. Pan Afr Med J. 2013;15:26. doi: 10.11604/pamj.2013.15.26.2218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Gurrera R.J. A systematic review of sex and age factors in neuroleptic malignant syndrome diagnosis frequency. Acta Psychiatr Scand. 2017;135:398–408. doi: 10.1111/acps.12694. [DOI] [PubMed] [Google Scholar]
- 11.Chandran G.J., Mikler J.R., Keegan D.L. Neuroleptic malignant syndrome: case report and discussion. CMAJ. 2003;169:439–442. [PMC free article] [PubMed] [Google Scholar]
- 12.Strawn J.R., Keck P.E., Jr., Caroff S.N. Neuroleptic malignant syndrome. Am J Psychiatry. 2007;164:870–876. doi: 10.1176/ajp.2007.164.6.870. [DOI] [PubMed] [Google Scholar]
- 13.Seitz D.P., Gill S.S. Neuroleptic malignant syndrome complicating antipsychotic treatment of delirium or agitation in medical and surgical patients: case reports and a review of the literature. Psychosomatics. 2009;50:8–15. doi: 10.1176/appi.psy.50.1.8. [DOI] [PubMed] [Google Scholar]
- 14.Berardi D., Amore M., Keck P.E., Jr. Clinical and pharmacologic risk factors for neuroleptic malignant syndrome: a case-control study. Biol Psychiatry. 1998;44:748–754. doi: 10.1016/s0006-3223(97)00530-1. [DOI] [PubMed] [Google Scholar]
- 15.Yildirim V., Direk M.C., Gunes S. Neuroleptic malignant syndrome associated with valproate in an adolescent. Clin Psychopharmacol Neurosci. 2017;15:76–78. doi: 10.9758/cpn.2017.15.1.76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Ananth J., Aduri K., Parameswaran S. Neuroleptic malignant syndrome: risk factors, pathophysiology, and treatment. Acta Neuropsychiatr. 2004;16:219–228. doi: 10.1111/j.0924-2708.2004.00085.x. [DOI] [PubMed] [Google Scholar]
- 17.Pelonero A.L., Levenson J.L., Pandurangi A.K. Neuroleptic malignant syndrome: a review. Psychiatr Serv. 1998;49:1163–1172. doi: 10.1176/ps.49.9.1163. [DOI] [PubMed] [Google Scholar]
- 18.Bristow M.F., Kohen D. Neuroleptic malignant syndrome. Br J Hosp Med. 1996;55:517–520. [PubMed] [Google Scholar]
- 19.Wijdicks E. Neuroleptic malignant syndrome. In: UpToDate, Aminoff M (Ed.). UpToDate, Waltham, MA. (Accessed on May 30, 2014). Available from: http://www.uptodate.com.
- 20.Kasantikul D., Kanchanatawan B. Neuroleptic malignant syndrome: a review and report of six cases. J Med Assoc Thai. 2006;89:2155–2160. [PubMed] [Google Scholar]
- 21.Tural U., Onder E. Clinical and pharmacologic risk factors for neuroleptic malignant syndrome and their association with death. Psychiatry Clin Neurosci. 2010;64:79–87. doi: 10.1111/j.1440-1819.2009.02042.x. [DOI] [PubMed] [Google Scholar]
- 22.Nakamura M., Yasunaga H., Miyata H. Mortality of neuroleptic malignant syndrome induced by typical and atypical antipsychotic drugs: a propensity-matched analysis from the Japanese Diagnosis Procedure Combination database. J Clin Psychiatry. 2012;73:427–430. doi: 10.4088/JCP.10m06791. [DOI] [PubMed] [Google Scholar]
- 23.Mayda-Domac F., Misirli H., Yilmaz M. Prognostic role of mean platelet volume and platelet count in ischemic and hemorrhagic stroke. J Stroke Cerebrovasc Dis. 2010;19:66–72. doi: 10.1016/j.jstrokecerebrovasdis.2009.03.003. [DOI] [PubMed] [Google Scholar]
