Skip to main content

Guillain-Barré Syndrome: Natural history and prognostic factors: a retrospective review of 106 cases

Abstract

Background

Guillain-Barre syndrome (GBS) is characterized by acute onset and progressive course, and is usually associated with a good prognosis. However, there are forms of poor prognosis, needing ventilatory support and major deficits at discharge. With this study we try to identify the factors associated with a worse outcome.

Methods

106 cases of GBS admitted in our hospital between years 2000–2010 were reviewed. Epidemiological, clinical, therapeutical and evolutionary data were collected.

Results

At admission 45% had severe deficits, percentage which improves throughout the evolution of the illness, with full recovery or minor deficits in the 87% of patients at the first year review. Ages greater than 55 years, severity at admission (p < 0.001), injured cranial nerves (p = 0.008) and the needing of ventilator support (p = 0.003) were associated with greater sequels at the discharge and at the posterior reviews in the following months. 17% required mechanical ventilation (MV). Values < 250 L/min in the Peak Flow-test are associated with an increased likelihood of requiring MV (p < 0.001).

Conclusions

Older age, severe deficits at onset, injured cranial nerves, requiring MV, and axonal lesion patterns in the NCS were demonstrated as poor prognostic factors. Peak Flow-test is a useful predictive factor of respiratory failure by its easy management.

Peer Review reports

Background

The term Guillain-Barré syndrome (GBS) includes a set of clinical syndromes (GBS) with a common pathophysiological basis; an acute inflammatory polyneuropathy with an autoimmune etiology [13]. Although usually characterized by a progressive flaccid paralysis with areflexia a wide range of motor, sensory and autonomic symptoms could be seen [14]. In general, the diagnosis is based on clinical criteria [47]; nevertheless, the presence of suggestive findings in the complementary test as demyelinising changes in the nerve conduction studies (NCS) or albuminocytological dissociation in the cerebrospinal fluid (CSF), help to confirm the diagnosis [1].

The worldwide incidence of GBS is reported to be 0.6-2.4 cases per 100,000 per year [815]. The classic form, the acute inflammatory demyelinating polyradiculoneuropathy (AIDP), is the most frequent subtype in Europe, which accounts for 90% of GBS cases [2]. Other subtypes like the axonal forms or the Miller-Fisher syndrome (MFS) [16, 17] are less common.

The prognosis is usually good, showing a complete functional recovery or with minimal deficits in the 90% of patients 1 year after the onset of illness [13, 18]. Several factors have been identified as predictors of poor outcome [13, 14, 1921]. Death rate is described to be between 1-18% [14, 15]. This study aimed to describe the epidemiological, clinical, laboratory, and electrodiagnostic features, as well as to identify the predictive factors of worse prognosis in the GBS or its subtypes.

Methods

A retrospective review of the medical records of patients admitted at La Paz University Hospital (Madrid, Spain) with the diagnosis of GBS between 2000–2010 was made. 106 fulfilled levels 1, 2 or 3 of diagnostic certainty for GBS/MFS described by Sejvar et al. [7]. All demographic, clinical, laboratory and electrophysiological data were recorded, as well as outcome and treatment.

Severity at admission was assessed by the Medical Research Council (MRC) sum score, valuing the strength from 0 to 5 in 4 muscles (proximal and distal) in both upper and lower limbs on both sides, so that the score ranged from 40 (normal) to 0 (quadriplegic) and by the GBS disability score advocated by Hughes et al. [22]. Cranial nerve involvement was considered separately by the affectation of oculomotor, facial and bulbar nerves. Respiratory weakness was assessed first by the value obtained at the peak expiratory flow meter (Peak Flow), as well as the need for mechanical ventilation throughout the evolution. Sensory disturbances, autonomic alteration or pain presence were also assessed.

Serological screening for preceding infections was recorded, including Herpes Simplex virus (HSV), Varicella-Zoster (VZV), cytomegalovirus (CMV), Epstein-Barr virus (EBV), Mycoplasma Pneumoniae, B and C hepatitis virus, Haemophilus Influenzae and, in selected cases, stool and Campylobacter Jejuni determination. The CSF was analyzed for cell count, glucose and protein concentration.

Neurophysiological studies were evaluated in accordance with the criteria of Hadden et al. [23, 24]. As in a retrospective study, not in all cases were the same nerves measured. Also, electromyography studies (EMG) with concentric needle electrodes were made to evaluate the axonal loss (fibrillation, positive sharp wave…).

The evaluation of the functional impact was graded by the GBS disability score [22] during the discharge from the neurology or the rehabilitation department, and at the third, sixth and twelfth month in the outpatient clinic.

The study was approved by the Research Ethics Committee of La Paz Hospital, Madrid, Spain.

All statistical analyses were performed using the SPSS 12 for Windows program (Chicago, IL, E.U.A.). For univariate analysis, Chi-square test for dichotomic variables was used. For continuous variables, t-Student test in parametric variables or U Mann-Withney with the non-parametric ones were used.

Results

There was no difference between genders (ratio male/female 1.07), with a mean onset age of 43.7 ± 23 years (range 0–85). Demographic and clinical data are summarized in Table 1. There was a seasonal rebound in winter, when 41% of patients were diagnosed. Most patients had an infectious antecedent preceding the onset of the weakness, being the most frequent respiratory tract infection (38%); at least 30% did not present a previous infectious disease [25]. The mean of days since the start of the infectious sickness until the polyneuropathy debut was 12 ± 8.3 days (range 1–30).

Table 1 Epidemiological data of GBS patients

Clinical data

A motor disorder at the admission was referred in 94 patients, with a variable degree. By classifying them according to the GBS disability score, 55% retained the ability to walk (grades 1, 2 and 3), unlike the remaining 45% which showed a severe affectation (grades 4, 5 and 6); Respiratory distress was present in 17% of patients. Pulmonary function was valued by the Peak Flow test in 50 patients, showed that values below 250 L/min were associated with a greater likelihood of requiring MV during the income (p < 0.05), independently of the presence of uni/bilateral facial palsy (p < 0.05). Time between symptom onset and admission was significantly lower in the severe cases (mean 5.17 days) compared with the mild ones (mean 8.87 days), so a faster progression could be postulated in the first ones (p = 0.053). Non-motor symptoms were described; the most frequent, neuropathic pain in 31% of patients, followed by sensory disturbances in 29%. Autonomic dysfunctions were found in 8.5% of cases. In 7% of the patients a syndrome of inappropriate antidiuretic hormone hypersecretion (SIADH) was diagnosed [26].

Laboratory and neurophysiological findings

A lumbar puncture was made in 95 patients (90%) with an average delay of 15 ± 11.71 days (range 1–80) since the beginning of symptoms. Raised concentration of proteins was present in 80 patients (85%) with albuminocytological dissociation in 79 of them (85%).

Serologic studies were made in 101 patients (95%), in 8 (8%) cases CMV was the microorganism responsible for the GBS; in 5 (5%) Mycoplasma Pneumoniae, in 1(1%) EBV and 1 (1%) enterovirus; the remaining 85.1% of serology was negative.

NCS was made in 98 patients (92.5%) with a median period from the onset to the neurophysiological study of 20.73 ± 10.17 days (range 2–62). Resumed data of the neurophysiological test is shown in Table 2. In 57 (58%) a demyelinating pattern was found, 7 (7%) an axonal pattern, 3 (3%) were unexcitable, 2 (2%) were normal, and 29 (30%) didn’t fulfil diagnostic criteria for demyelinating lesion, but changes consistent with a peripheral neuropathy were present. Conduction blocks were present in 37 patients (37.8%). F- Responses were altered (absent or delayed) in 29 of 64 median (45%), in 16 of 35 ulnar (46%) in 4 of 8 tibial (50%) and in 34 of 40 (85%) peroneal nerves. H-reflex was affected in 26 of 48 (45%) cases evaluated. In sixth of the Miller Fisher syndromes a NCS was made, 1 of them (17%) was normal, and in the remaining 5 (83%) sensory conduction was affected. In 3 of 5 (60%) H reflex was absent. In the needle EMG examination signs of acute denervation were present in 44 of 86 (51%).

Table 2 Neurophysiological data of patients with GBS

The distribution of the different subtypes of GBS was: AIDP in 83%, acute motor and sensory axonal neuropathy (AMSAN) in 5.7%, acute motor axonal neuropathy (AMAN) in 1.9%, MFS in 8.5% and cranial multineuritis in 0.9%.

Treatment, outcome and prognosis

Some kind of treatment was offered to 89 patients (84%): 88 received IVIg (83%) and 3 plasma exchange (2.8%); in 2 patients both treatments were dispensed sequentially. 16% of cases never started a treatment due to the mild symptoms or the long evolution of the disease.

At discharge, absent or minor deficits were observed in 38 patients (36%), 30 (28%) were able to walk for 10 meters without a help, 28 (26%) needed assistance to walk, 7 (7%) were bedridden and 1 (1%) needed respiratory support. Two patients died of the disease. Patients were followed in the outpatient clinic at 3, 6 and 12 months (Table 3).

Table 3 Proportion of patients, based on the GBS score, during the follow-up

Some factors were analysed as possible predictors of a poor outcome: 1) patients with ages greater than 55 years were most affected at the admission (p = 0.027), with greater deficits at discharge (p = 0.2) and at the third (p = 0.1), sixth (p = 0.001) and twelfth month (p = 0.006); 2) severity at admission, score based on the GBS disability scale (disabling or non-disabling), was also associated with more disability at discharge (p < 0.001), and at the successive medical reviews at the third (p = 0.001) and the sixth month (p < 0.001); 3) cranial nerve involvement was related with greater deficits at discharge (p = 0.008) and 4) mechanical ventilation requirement showed greater sequels at discharge (p = 0.003), in the follow up the results were not statistically significant but a trend to associate with greater deficits was seen. Finally, there seems to be a trend towards a worse prognosis in those patients with axonal lesions in the conduction studies (p = 0.2) which is likely to be maintained throughout the evolution (Table 4).

Table 4 Possible predictor factors of a poor outcome

Discussion

The present work has the limitations of a retrospective study based on hospital case-mix. The incidence is reported to be 0.6-2.4 cases per 100,000 per year [18, 19, 21]. Changes suffered in the last years in the attendance area of the hospital make incidence calculation complex and inaccurate; however, it appears to be of 1.68-2.46 per 100,000 per year.

There is no difference between gender [1, 2]. The bimodal shape wasn’t present in our study [810], as there is a linear increase in the incidence with age [1, 2, 9, 11, 12, 24]. GBS is considered a sporadic illness, without a seasonal cluster [1, 9]; however, a trend to accrue in winter is shown in our series [11, 12]. The infectious event is described to appear in 40-70% of patients [13, 812]. In our series up to 70% of cases have had one, of which respiratory infection was the most frequent.

As in previous series, weakness and hypo/areflexia were the most frequent symptoms, followed by neuropathic pain and numbness. Hyponatremia, as a symptom of SIADH is not a classical manifestation of GBS; however, there are series in which are described to be present in up to 58% of the cases; in our review, it was found in 7% of our patients.

There isn’t a consensus about the neurophysiological values defining GBS and its variants [2, 4, 5, 7, 23, 24, 2629]. It is accepted as demyelination parameters: motor conduction velocity (MCV) decrease, prolongation of motor distal latency, conduction blocks, temporal dispersion and increased F-wave latency [27]. It is reported that the first electromyographic changes are the alteration of F-wave and H-reflex response [2, 22], altered both in our NCS reported as normal, probably due to the earliness of the exploration. In MFS, the CNS are normal in most cases; nonetheless, discrete changes in the sensory conduction or in H-reflex may be present [3032], some authors postulate a damage in the afferent proprioceptive system as a pathophysiological basis [32].

As classically described, in our study illness prognosis is favourable; 81% of patients presented absent or minimum neurological deficits one year after the onset. Older age, illness severity in the acute phase, prior gastrointestinal infection and axonal injury in the CNS and mechanical ventilation requirement [15, 20, 33, 34] are among the factors that have been advocated for poor prognosis. Van Koningsveld et al. defined a clinical prognostic scoring system for GBS outcome at 6 months, the “Erasmus GBS Outcome Score” or EGOS [15], it was based on the punctuation on the GBS disability score at 2 weeks from the admission, the history of diarrhoea and the age. Recently, Walgaard et al. have validated a modified EGOS (mEGOS) with the main difference being the use of the MRC sum score at admission and in the 7th day instead the GBS disability score [35], they claimed that the MRC sum score is more accurate, and the possibility of being used at admission could predict the future treatments. However, the mEGOS made on the 7th day after the admission show increased predictive value instead the one made on the first day [35]. However, although useful, the mEGOS passed on the first day of admission showed lower predictive ability than the one performed on the 7th day. In our study we demonstrate that, even in the first day of admission, lower scores on the GBS scale are associated with worse outcome and greater disability at discharge, 3 and 6 months. Respiratory distress is the leading cause of death in the acute phase, 20-30% requiring ventilatory support [20]. Many factors have been proposed as predictors of the future need for respiratory support, like forced vital capacity (FVC) < 60%, bulbar dysfunction, rapid progression of the illness, and difficulty raising the head [19, 20]. Van Doorn et al. propose a regularly monitoring of the respiratory function initially every 2-4 h, and then every 6-12 h [1]. Although FVC is considered to be the gold standard test for detecting impaired ventilation it has some disadvantages, the requirement of portable spirometers in the acute phase due to the instability of the patient, the need for a minimum of preparation and knowledge of the technique by medical personnel and the higher cost. Suárez et al. describe a serie of 79 patients with neuromuscular diseases in which the Peak Flow test proved to be useful in the monitoring of expiratory muscle weakness [35]. In our hospital, patients were monitored by the Peak Flow test each 6 hours in the acute phase, being observed that values below 250 L/min predict the posterior need of respiratory support (p < 0.05), independently of the presence of facial palsy that could hinder the use of the test (p < 0.05), making the Peak Flow a safe, inexpensive, and widely-available test in the monitoring of patients with GBS.

Conclusion

Our series is in concordance with those previously published. The seasonal cluster in winter is worth noting on which there is a great controversy. Regarding the outcome, our series reported a worse prognosis in patients with older age, severe deficits at the beginning, injured cranial nerves, requiring MV, and axonal lesion patterns in the NCS. Finally, project the Peak Flow-test as a useful predictive factor of respiratory failure by its availability, and easy management.

Abbreviations

AIDP:

Acute inflammatory demyelinating Polyradiculoneuropathy

AMAN:

Acute motor axonal neuropathy

AMSAN:

Acute motor and sensory axonal neuropathy

CB:

Conduction blocks

CMAP:

Conduction motor action potential

CMV:

Cytomegalovirus

CSF:

Cerebrospinal fluid

EBV:

Ebstein-Barr virus

EMG:

Electromyography studies

GBS:

Guillain-Barré syndrome

HSV:

Herpes-simplex virus

IVIg:

Immunoglobulin

MRC:

Medical research council

MFS:

Miller-Fisher syndrome

MV:

Mechanical ventilation

NCS:

Nerve conduction studies

SIADH:

Syndrome of inappropriate antidiuretic hormone hypersecretion

VZV:

Varicella-Zoster virus.

References

  1. Van Doorn PA, Ruts L, Jacobs BC: Clinical features, pathogenesis, and treatment of Guillain-Barré syndrome. Lancet Neurol. 2008, 7: 939-950. 10.1016/S1474-4422(08)70215-1.

    Article  PubMed  Google Scholar 

  2. Vucic S, Kiernan MC, Cornblath DR: Guillain-Barré syndrome: An update. J Cli Neurosci. 2009, 16: 733-741. 10.1016/j.jocn.2008.08.033.

    Article  Google Scholar 

  3. Tellería-Díaz A, Calzada-Sierra DJ: Síndrome de Guillain-Barré. Rev Neurol. 2002, 34 (10): 966-976.

    PubMed  Google Scholar 

  4. Asbury AK, Arnason BGW, Karp HR, McFarlin DF: Criteria for diagnosis of Guillain-Barré syndrome. Ann Neurol. 1978, 3: 565-566.

    Article  Google Scholar 

  5. Asbury AK, Cornblath DR: Assesment of current diagnostic criteria for Guillain-Barré syndrome. Ann Neurol. 1990, 27 (Suppl): S21-S24.

    Article  PubMed  Google Scholar 

  6. Hughes RAC, Rees JH: Clinical and epidemiologic features of Guillain-Barré syndrome. J Infect Dis. 1997, 176 (suppl2): S92-S98.

    Article  PubMed  Google Scholar 

  7. Sejvar JJ, Kohl KS, Gidudu J, Amato A, Bakshi N, Baxter R, et al: Guillain-Barré syndrome and Fisher syndrome: case definitions and guidelines for collection, analysis, and presentation of immunization safety data. Vaccine. 2011, 29: 599-612. 10.1016/j.vaccine.2010.06.003.

    Article  PubMed  Google Scholar 

  8. McGrogan A, Madle G, Seaman HE, De Vries CS: The epidemiology of Guillain-Barré syndrome worldwide. Neuroepidemiology. 2009, 32: 150-163. 10.1159/000184748.

    Article  PubMed  Google Scholar 

  9. The Emilia-Romagna Study group on Clinical and Epidemiological Problems in Neurology: A prospective study on the incidence and prognosis of Guillain-Barré syndrome in Emilia-Romagna region, Italy (1992–1993). Neurology. 1997, 48: 214-221.

    Article  Google Scholar 

  10. Lyu R-K, Tang L-M, Cheng S-Y, Hsa W-C, Chen S-T: Guillain-Barré syndrome in Taiwan: a clinical study of 167 patients. J Neurol Neurosurgery Psychiatry. 1997, 63: 494-500. 10.1136/jnnp.63.4.494.

    Article  CAS  Google Scholar 

  11. Cuadrado JI, de Pedro Cuesta J, Ara JR, Cemillan CA, Díaz M, Duarte J, et al: Guillain-Barré syndrome in Spain, 1985–1997: epidemiological and public health view. Eur Neurol. 2001, 46: 83-91. 10.1159/000050769.

    Article  CAS  PubMed  Google Scholar 

  12. Alandro-Benito Y, Conde-Sendín MA, Muñoz-Fernández C, Pérez-Correa S, Alemany-Rodríguez MJ, Fiuza-Pérez MD, et al: Síndrome de Guillain-Barré en el área norte de Gran Canaria e isla de Lanzarote. Rev Neurol (Barc.). 2002, 35: 705-710.

    Google Scholar 

  13. Soysal A, Aysal F, Caliskan B, Dogan Ak P, Mutluay B, Sakalli N, et al: Clinico-electrophysiological findings and prognosis of Guillain-Barré syndrome - 10 years’experience. Acta Neurol Scand. 2011, 123: 181-186. 10.1111/j.1600-0404.2010.01366.x.

    Article  CAS  PubMed  Google Scholar 

  14. The Italian Guillain-Barré Study Group: The prognosis and main prognostic indicators of GuillainBarré syndrome. A multicentre prospective study of 297 patients. Brain. 1996, 119: 2053-2061.

    Article  Google Scholar 

  15. Van Koningsveld R, Steyerberg EW, Hughes RAC, Swan AV, Van Doorn PA, Jacobs BC: A clinical prognostic scoring system of Guillain-Barré syndrome. Lancet Neurol. 2007, 6: 589-594. 10.1016/S1474-4422(07)70130-8.

    Article  PubMed  Google Scholar 

  16. Chodwury D, Arora A: Axonal Guillain Barré syndrome: a critical review. Acta Neurol Scand. 2001, 103: 267-277.

    Article  Google Scholar 

  17. Mori M, Kuwaraba S, Fukutake T, Yuki N, Hattori T: Clinical features and prognosis of Miller Fisher syndrome. Neurology. 2001, 56: 1104-1106. 10.1212/WNL.56.8.1104.

    Article  CAS  PubMed  Google Scholar 

  18. Korinthenberg R, Schessl J, Kirschner J: Clinical presentation and course of childhood Guillain-Barré syndrome: a prospective multicentre study. Neuropediatrics. 2007, 38: 10-17. 10.1055/s-2007-981686.

    Article  CAS  PubMed  Google Scholar 

  19. Lawn ND, Fletcher DD, Henderson RD, Wolter TD, Wijdicks EF: Anticipating mechanical ventilation in Guillain-Barré syndrome. Arch Neurol. 2001, 58: 871-872. 10.1001/archneur.58.6.871.

    Article  Google Scholar 

  20. Durand MC, Porcher R, Orlikowski D, Aboab J, Devaux C, Clair B, et al: Clinical and electrophysiological predictors of respiratory failure in Guillain-Barré syndrome: a prospective study. Lancet Neurol. 2006, 5: 1021-1028. 10.1016/S1474-4422(06)70603-2.

    Article  PubMed  Google Scholar 

  21. Guillain- Barré syndrome. Edited by: Ropper AH, Widjicks EFM, Truax BT. 1991, Philadelphia: F.A. Davis

  22. Hughes RA, Newsom-Davis JM, Perkin GD, Pierce JM: Controlled trial prednisolone in acute polineuropathy. Lancet. 1978, 2: 750-753.

    Article  CAS  PubMed  Google Scholar 

  23. Hadden RDM, Cornblath DR, Hughes RAC, Zielasek J, Hartung HP, Toyka K, et al: Electrophysiological classification of Guillain-Barré Syndrome: clinical associations and outcome. Ann Neurol. 1998, 44: 780-788. 10.1002/ana.410440512.

    Article  CAS  PubMed  Google Scholar 

  24. Hughes RAC, Cornblath DR: Guillain-Barré syndrome. Lancet Neurol. 2005, 366: 1653-1666. 10.1016/S0140-6736(05)67665-9.

    Article  CAS  Google Scholar 

  25. Hadden RD, Karch H, Hartung HP, Zielasek J, Weissbrich B, Schubert J: Preceding infections, immune factors, and outcome in Guillain-Barré syndrome. Neurology. 2001, 56: 758-765. 10.1212/WNL.56.6.758.

    Article  CAS  PubMed  Google Scholar 

  26. Saifudheen K, Jose J, Gafoor VA, Musthafa M: Guillain-Barré síndrome and SIADH. Neurology. 2011, 76: 701-704. 10.1212/WNL.0b013e31820d8b40.

    Article  PubMed  Google Scholar 

  27. Van den Bergh PYK, Piéret F: Electrodiagnostic criteria for acute and chronic inflammatory demyelinating polyradiculoneuropathy. Muscle Nerve. 2004, 29: 565-574. 10.1002/mus.20022.

    Article  PubMed  Google Scholar 

  28. Vucic S, Cairns KD, Black KR, Chong PST, Cros D: Neurophysiologic findings in early acute inflammatory demyelinating polyradiculoneuropathy. Clin Neurophysiology. 2004, 115: 2329-2335. 10.1016/j.clinph.2004.05.009.

    Article  Google Scholar 

  29. Alam TA, Chaudhry V, Cornblath DR, Alam TA, Chaudhry V, Cornblath DR, Electrophysiological studies in the Guillain-Barré syndrome: 30: Electrophysiological studies in the Guillain-Barré syndrome: distinguishing subtypes by published criteria. Muscle Nerve. 1998, 21: 1275-1279. 10.1002/(SICI)1097-4598(199810)21:10<1275::AID-MUS5>3.0.CO;2-8.

    Article  CAS  PubMed  Google Scholar 

  30. Jamal GA, Leod Mac WN: Electrophysiologic studies in Miller Fisher syndrome. Neurology. 1984, 34: 685-688. 10.1212/WNL.34.5.685.

    Article  CAS  PubMed  Google Scholar 

  31. Lo YL: Clinical and immunological spectrum of the Miller Fisher syndrome. Muscle Nerve. 2007, 36: 615-627. 10.1002/mus.20835.

    Article  CAS  PubMed  Google Scholar 

  32. Yuki N: Fisher syndrome and Bickerstaff brainstem encephalitis (Fisher-Bickerstaff syndrome). J Neuroimmunol. 2009, 215: 1-9. 10.1016/j.jneuroim.2009.05.020.

    Article  CAS  PubMed  Google Scholar 

  33. Rajabally YA, Unicini A: Outcome and its predictors in Guillain-barré syndrome. J Neurol Neurosurg Psychiatry. 2012, 83: 711-718. 10.1136/jnnp-2011-301882.

    Article  PubMed  Google Scholar 

  34. Walgaard C, Lingsma HF, Ruts L, et al: Early recognition of poor prognosis in Guillain-Barré syndrome. Neurology. 2011, 76: 968-975. 10.1212/WNL.0b013e3182104407.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Suarez AA, Pessolano FA, Monteiro SG, Ferreyra G, Capria ME, Mesa L, et al: Peak flow and peak cough flow in the evaluation of expiratory muscle weakness and bulbar impairment in patients with neuromuscular disease. Am J Phys Med Rehabil. 2002, 81: 506-511. 10.1097/00002060-200207000-00007.

    Article  PubMed  Google Scholar 

Pre-publication history

Download references

Acknowledgements

Our thanks are due to Mr. Martin J. Smyth, B.A. for correcting the English.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Inés González-Suárez.

Additional information

Competing interests

There are no competing interests in this manuscript.

Authors’ contributions

IGS conceived of the study, participated in the design of the study and performed the statistical analysis, and coordination and drafted the manuscript. ISG participated in the design of the study. FJRR participated in the design of the study. JA conceived of the study, participated in the design of the study and coordination and drafted the manuscript. All authors read and approved the final manuscript.

Inés González-Suárez, Irene Sanz-Gallego, Francisco Javier Rodríguez de Rivera and Javier Arpa contributed equally to this work.

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

González-Suárez, I., Sanz-Gallego, I., Rodríguez de Rivera, F.J. et al. Guillain-Barré Syndrome: Natural history and prognostic factors: a retrospective review of 106 cases. BMC Neurol 13, 95 (2013). https://doi.org/10.1186/1471-2377-13-95

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2377-13-95

Keywords