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Revista médica del Hospital General de México

versión On-line ISSN 2524-177Xversión impresa ISSN 0185-1063

Rev. med. Hosp. Gen. Méx. vol.87 no.2 Ciudad de México abr./jun. 2024  Epub 13-Ago-2024

https://doi.org/10.24875/hgmx.23000068 

ORIGINAL ARTICLES

Short-term prognostic factors in Guillain-Barré syndrome: cohort study at the Hospital General de México

Kenia F. Franyutti-Prado1 

Claudia E. Alfaro-Tapia1 

Diego U. Chetla-Morales1 

Gil Playas-Pérez1 

Alejandro Escobar-Huerta1 

Emmanuel Solorza-Ortiz1 

Milton R. Morán-Morales1 

Jonatan B. Cruz-Sánchez1 

Paul Carrillo-Mora2  * 

1Service of Neurology, Hospital General de México Dr. Eduardo Liceaga. Mexico City, México

2Clinical Neurosciences Division, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra. Mexico City, México


Abstract

Introduction:

Guillain-Barré syndrome (GBS) is the most frequent cause of acute flaccid paralysis. However, few studies have investigated short-term prognostic factors.

Objectives:

The objectives of the study were to describe the clinical characteristics of a sample of GBS patients treated at the General Hospital of Mexico and to identify the prognostic factors at discharge.

Methods:

A descriptive and analytical cohort study, including patients with GBS, was conducted from April 2020 to May 2022. Demographic information, comorbidities, clinical variants, neurophysiological alterations, modified Erasmus GBS Outcome Score (mEGOS) and Erasmus GBS Respiratory Insufficiency Score scales, etc., were collected. Functional recovery at discharge was measured with Hughes scales and Medical Research Council (MRC). A case-control analysis was performed among patients with good and poor functional recovery on discharge based on the Hughes scale.

Results:

Total sample was 69 patients: 74% men and 26% women, mean age: 43.7 ± 16.3 years; 38 (55%) patients presented classic variant, 22 pure motor variant (31%). Evolution time: 6.8 ± 6.7 days. Most common Hughes score at admission was 4 points (n = 54, 78%). 87% (n = 60) received plasmapheresis. 23 (33.3%) presented an axonal pattern and 46 (66.6%) demyelinating. On discharge, 31 patients had Hughes 3 or less (ambulatory) and 27 Hughes 4 or greater (non-ambulatory). When performing factor analysis, it was found that mEGOS, MRC, total lymphocytes, and creatine phosphokinase (CPK) were associated with the prognosis at discharge.

Conclusions:

The most frequent clinical variant was the classic (sensitive-motor) with demyelinating alteration; the factors related to better recovery at discharge were mEGOS, MRC on admission, total lymphocyte count, and serum CPK levels.

Key words: Guillain Barré; syndrome; Outcome; Modified Erasmus GBS outcome score; Mexico; Disability

Introduction

Guillain-Barré syndrome (GBS) is a symmetric, ascending, immune-mediated polyradiculoneuropathy, generally preceded by an infectious process that can occur at any age1-3. At present, GBS is the most common cause of acute flaccid paralysis in the world3,4. Its incidence and severity increase with age, generally associated with axonal damage, greater involvement of cranial nerves, and worse functional recovery3-5. It is estimated that the United States, Mexico, and Central America are countries with a high prevalence of GBS. In this sense, although there are no exact epidemiological reports, it is estimated that in Mexico, the prevalence is about 3.9/100 000 inhabitants (95% confidence interval: 3.14.9)5-8. Recent studies suggest an increase in the global prevalence of GBS, especially due to the SARS-CoV-2 pandemic and the mass vaccination used to combat it9.

The main electro-clinical variants are acute inflammatory demyelinating polyneuropathy (AIDP), acute motor axonal neuropathy (AMAN), acute motor sensory axonal neuropathy (AMSAN), and Miller Fisher syndrome1,2. Recent evidence supports GBS as a spectrum disorder, that is to say, with geographical regional variations and significant clinical heterogeneity3,10. Its clinical spectrum varies from mild to severe symptoms, with ascending and rapidly progressive weakness. At the most severe end of the spectrum, up to 30% of patients develop paralysis of all four extremities and respiratory failure, requiring mechanical ventilation (MV).1 Cranial nerve involvement is a predictor of MV, and patients with AIDP have a higher risk of MV than those with the AMAN/AMSAN variants11,12.

GBS represents a neurological emergency since, despite appropriate treatment, up to 20% of patients will be severely disabled, and approximately 5% will have a fatal outcome3,9,13. Regardless of recent advances in the knowledge and care of GBS, it is reported that case fatality in Mexico reaches approximately 12%5. In 2019, México reported an incidence of 0.71 cases/100,000 people/year. The most common electrophysiological variant in México was AMAN, and its incidence has a seasonal distribution with a peak of axonal variants during the summer, while the AIDP variant was more frequent in winter, possibly associated with a higher incidence of respiratory infections5.

Approximately 40-70% of patients with GBS have a previous infection, the nature of which can influence the clinical phenotype, prognosis, and the electrophysiological subtype. Campylobacter jejuni and Cytomegalovirus are the most commonly isolated pathogens; the former explains the pathogenesis of AMAN, and the latter mainly for AIDP, which may also explain the seasonal distribution3,4.

Multiple studies have identified several adverse prognostic factors in GBS. The most commonly reported are advanced age (> 70 years), orotracheal intubation, the need for MV, systemic infection, and the neutrophil-lymphocyte index, among others (Table 1)1,4,11,14-16.

Table 1 Main reported factors of poor functional prognosis in GBS 

Variable OR CI 95%
Older age (over 70-years-old) 10.3 1.3-77
Orotracheal intubation 2.087 1.057-4.119
Mechanical ventilation 4.323 1.882-9.931
Axonal subtype 9.2 1.3-63.9
CMAP distal < 0.4 8.67 2.33-32.27
Neutrophil-lymphocyte index in < 60 years 1.36 1.05-1.76
> 9-day delay in initiating immunotherapy treatment 4.34 1.28-14.66

GBS: Guillain-Barré syndrome; CMAP: muscular component of the action potential with distal stimulation; OR: odds ratio; CI: confidence interval.

The previous studies on prognostic factors in GBS have investigated these factors at different times during the evolution of the disease, from 1 year to several months after the acute stage4,8. Few studies report prognostic factors in the short term (at the time of hospital discharge). It is clear that these factors are also highly dependent on the type of population studied and the country3,8. Identifying these short-term prognostic factors in GBS is of great importance for the clinical physician since it will allow timely interventions to obtain better functional results in these patients. For all of the above, the objective of the present investigation was to describe the clinical features of a cohort of patients with GBS treated at the General Hospital of Mexico (GHM) and to analyze the factors related to a better functional prognosis at hospital discharge.

Methods

A prospective, observational, descriptive, and analytical cohort study was carried out; all patients with a confirmed diagnosis of GBS who were admitted to the neurology service of GHM during the period from April 2020 to May 2022 were included in the study. Patients who met with the National Institute of Neurological Disorders and Stroke criteria for GBS at any Brighton level of certainty were included.17 Patients with incomplete information in the clinical record and those not hospitalized were excluded from the study. Demographic information, comorbidities, clinical variant, neurophysiological study, days of hospitalization, blood count, Erasmus Guillain-Barré Syndrome Outcome Score (mEGOS), and Erasmus GBS Respiratory Insufficiency Score (EGRIS) scales were collected. The degree of functional recovery at discharge was measured with the Hughes and Medical Research Council (MRC) scales for muscle strength. A case (Hughes 3 or less = ambulatory) and control (Hughes greater than 3 = non-ambulatory) type analysis was performed for the analysis of prognostic factors. In the statistical analysis, descriptive statistics were first used, and to compare the groups with good vs. poor functional recovery, the following tests were used: Fisher’s exact test, Chi-square, Mann Whitney U, or Student’s T test, depending on the type of variable.

Results

The total sample was 69 patients: 74% men and 26% women. Average age ± standard deviation (SD) was of 43.7 ± 16.3 years. 49 % of the patients were originally from Mexico City and 33% from Estado de México. Twenty-five patients (36 %) had a history of diarrhea. Regarding clinical variants, 55% patients presented the classic variant (sensory-motor), 31% pure motor variant and 10% presented Miller-Fisher variant (ataxia, ophthalmoplegia, and areflexia) and only one patient presented a pharyngo-cervicobrachial variant (Table 2). The mean evolution time from the onset of symptoms to time of hospital admission was 6.8 ± 6.7 days.

Table 2 Clinical and sociodemographic features in total sample of GBS patients 

Variable Total sample (n = 69) No. %
Sex Female 18 26.1
Male 51 73.9
Age Average: 43.7 years (SD: 16.3)
Civil status With couple 41 59.4
Without couple 28 40.6
Residency Mexico city 34 49.3
Estado de México 23 33.3
Other states 12 17.4
Comorbidities (number) Average: 2 (SD: 1.06)
History of diarrhea Yes 25 36.2
No 44 63.8
History of upper tract respiratory infection Yes 13 18.8
No 56 81.2
Clinical variant Classic 39 56.5
Pure motor 22 31.9
Miller Fisher syndrome 7 10.5
Faringo-cervicobraquial 1 1.4
Acute treatment Plasmapheresis 61 88.4
(number of sessions) (3-5) 5.8
Immunoglobulin 4 5.8
Without immunotherapy 4
Evolution time at the beginning of treatment (days) Average: 2.57 (SD: 2.07) (Median: 2)
mEGOS score 7.12 (SD: 2.9)
EGRIS score 4.23 (SD: 1.76)
Axonal/Demyelinating variant Axonal 23 33.3
Demyelinating 46 66.7

SD: standard deviation; GBS: Guillain-Barré syndrome; EGRIS: Erasmus GBS respiratory insufficiency score; mEGOS: modified erasmus GBS outcome score.

The average ± SD Hughes scale score at admission was 3.85 ± 0.60, and the most frequent Hughes scale category at admission was 4 points (78%), followed by 3 points (13%). Sixty-one patients (88%) received plasmapheresis, 4 (5.7%) received immunoglobulin as acute treatment, and 4 (5.7%) patients do not receive immunotherapy. In clinical neurophysiology studies, 66% (n = 46) showed a demyelinating pattern, and 33.3% presented an axonal pattern (n = 23). The average number of total days of hospitalization was 18.72 ± 9.4. Complications (for example, urinary tract infections, pulmonary infections, cardiac arrhythmias, and hyponatremia) were observed in 16 (23%) of patients; 23% of the cases required management in the Intensive Care Unit (ICU), with the average number of days spent in the ICU being 8.4 days ± 4.6. Two patients died during hospitalization (2.8%), and only two patients had a history of SARS-Cov2 infection (2.8%). The summary of laboratory variables and the initial and final scores of the scales are presented in Tables 3 and 4. As expected from the treatment with immunotherapy, a significant improvement was observed in the two functional outcome variables between the evaluations of admission versus discharge: Hughes (p < 0.0003) and MRC (p = 0.0004) (Fig. 1).

Table 3 Laboratory characteristics in the total sample of patients with GBS 

Variable Average ± SD
Total leukocytes 10 194 ± 4551
Total neutrophils 6 215 ± 3931
Total lymphocytes 2 188 ± 3522
Neutrophil-to-lymphocyte ratio 6.66 ± 12.17
Lactate dehydrogenase (U/L) 197.97 ± 80.84
Creatine phosphokinase (U/L) 189.84 ± 247.68
CSF: Proteins (mg/dL) 126.56 ± 95.85
CSF: Leukocytes 2.95 ± 4.37
CSF: Lymphocytes 1.07 ± 1.30
CSF: Neutrophils 4.68 ± 10.47

GBS: Guillain-Barré syndrome; CSF: cerebrospinal fluid; SD: standard deviation.

Table 4 Initial and final scores in Hughes and MRC scales in patients with GBS 

Variable Category No. %
Hughes scale at admission Average: 3.85 ± 0.60 (n = 69) 0 0 0
1 1 1.4
2 1 1.4
3 9 13.1
4 54 78.3
5 4 5.8
6 0 0
Average MRC scale at admission (n = 69) 31.1 ± 14.6
Hughes scale at discharge Average: 3.17 ± 1.15 (n = 58) 0 1 1.7
1 5 8.6
2 10 17.2
3 16 27.6
4 24 41.4
5 0 0
6 2 3.4
Average MRC scale at discharge (n = 58) 40.4 ± 14.55

GBS: Guillain-Barré syndrome; MRC: Medical Research Council scale for muscle strength.

Figure 1 Effect of immunotherapy treatment. Baseline versus Endpoint MRC assessments for muscle strength and the Hughes scale. The bars represent the average ± the Standard Error of the Mean. MRC: Medical Research Council. 

At discharge, only 58 patients were evaluated on the Hughes scale. 31 patients had Hughes 3 or lower (ambulatory or good recovery), and 27 had Hughes 4 or higher (non-ambulatory or bad recovery). When factor analysis was carried out, it was observed that the mEGOS scale, the MRC for muscle strength, total lymphocytes, and elevated creatine phosphokinase (CPK) were associated with a better prognosis at discharge (Table 5).

Table 5 Results of the comparative analysis between patients with good versus poor functional recovery at discharge (ambulatory vs. non-ambulatory patients) 

Variable Hughes at admission 3 or less (ambulatory) (n = 31) Hughes at discharge more than 3 (non- ambulatory) (n = 27) Statistic test p-value
Sex Fisher (p = 1.000)
Female 10 8
Male 21 19
Age 43.26 ± 18.2 43.96 ± 15.8 T test (p = 0.8688)
Civil status Fisher (p = 0.0305)
With couple 15 21
Whitout couple 16 6
Residency Xi Cuadrada (p = 0.0650)
Mexico City 12 15
Estado de México 10 11
Other states 9 1
Comorbidities 0.86 ± 1.2 1.29 ± 1.1 Mann Whitney (p = 0.0802)
History of diarrhea Fisher (p = 1.000)
Yes 11 10
No 20 17
History of upper tract respiratory infection Fisher (p = 0.896)
Yes 6 6
No 25 21
Clinical variant Fisher (p = 0.3823)
Classic 18 15
Pure motor 7 11
Miller Fisher Syndrome 6
Faringocervico brachial 1
Hughes at admission Xi cuadrada (p = 0.4890)
Category 1 1 0
Category 2 1 0
Category 3 4 2
Category 4 24 25
Category 5 1 0
Acute treatment Xi cuadrada (p = 0.8921)
Plasmapheresis 28 25
Immunoglobulin 2 1
Without immunotherapy 1 1
Evolution time at the beginning of treatment (days) 2.41 ± 1.8 2.11 ± 1.3 Mann Whitney (p = 0.8952)
MRC at admission 36.03 ± 13.42 27.85 ± 14.07 T test (p = 0.0287)
Modified Erasmus GBS outcome score 6.16 ± 2.9 7.88 ± 2.8 Mann -Whitney (p = 0.0314)
Erasmus GBS respiratory insufficiency score 3.79 ± 1.6 4.29 ± 1.8 T test (p = 0.2885)
Neurophysiological variant Fisher (p = 0.1032)
Axonal 8 13
Demyelinating 23 14
Total leukocytes 17,676 ± 29,648 9656 ± 3796 Mann Whitney (p = 0.5278)
Total neutrophils 5727 ± 3681 6069 ± 2760 Mann Whitney (p = 0.6789)
Total lymphocytes 1405 ± 1078 2228 ± 1261 Mann Whitney (p = 0.0057)
Neutrophil-to-lymphocyte ratio 6.211 ± 8.2 6.425 ± 15.7 Mann Whitney (p = 0.2365)
Lactate dehydrogenase (U/L) 198.8 ± 99.4) 197.3 ± 62.4 T test (p = 0.9787)
Creatine phosphokinase (U/L) 185.3 ± 107.2 46.8 ± 20.29 Mann Whitney (p = 0.0462)
Days of evolution at the time of lumbar puncture 12.07 ± 8.0 9.46 ± 3.3 Mann Whtiney (p = 0.8766)
CSF: Proteins 157.6 ± 116 105.6 ± 81.16 Mann Whitney (p = 0.4173)
CSF: Leukocytes 3.0 ± 4.7 3.23 ± 4.33 Mann Whitney (p = 0.8251)
CSF: Lymphocytes 1.032 ± 1.3 1.037 ± 1.25 Mann Whitney (p = 0.9397)
CSF: Neutrophils 2.96 ± 4.24 7.73 ± 16. Mann Whitney (p = 0.27770)
Medical complications Si: 6, No: 25 Si: 6, No: 21 Fisher (p = 1.000)
Stay in ICU (days) 8.25 ± 5.7 8.16 ± 3.4 Mann Whitney (p = 0.6028)
Hospitalization days 19 ± 9.36 18.70 ± 10.53 Mann Whitney (p = 0.7313)

GBS: Guillain-Barré syndrome; MRC: Medical Research Council scale for muscle strength; CSF: cerebrospinal fluid; ICU: intensive care unit.

Discussion

To the best of our knowledge, no previous studies in Latin America describe prognostic factors at discharge from hospitalization of patients with GBS. The main focus of most studies is functional prognosis over longer periods, such as 3-6 months or a year. Unlike many other autoimmune disorders, GBS has been reported to be more common in men than in women. The male/female ratio in our study was higher (2.8:1) than reported in the international literature (1.5:1), with a 74% predominance of the male sex18.

This predominance of the male sex in GBS is well established in the literature, but apparently, in children and adolescents, this predominance is not consistent. Although the explanation for this predominance of the male sex is not fully clear, it has been proposed that there are different immune responses in both sexes to different non-protein antigens18.

In the present sample of patients, the average age was lower (43.7 years) than that reported in the International Guillain-Barré Syndrome Outcomes Study (IGOS) (51 years)13,16; however, it is similar to reported in other studies carried out in México (46.6 years)1, this may be due to multiple factors, but it is possible that exposure to infectious agents at younger age in our country explains a lower average age in our population compared to populations of Europe or the United States19.

According to the literature, up to 76% of patients with GBS have a history of an infectious disease, with C. jejuni diarrhea being the most commonly reported cause16. In our study, only 36% had a history of diarrhea before the onset of the clinical picture, without finding a significant association between this infection and more severe forms of presentation, which differs from what has been reported in various studies. However, in our study, it was impossible to determine stool culture or polymerase chain reaction (rt-PCR) to confirm C. jejuni infection, which may explain the underreporting of cases. On the other hand, it is noteworthy that only 2.8% of the cases had a documented SARS-CoV-2 infection; this is despite the fact that patient sampling was carried out during the first two years of the pandemic; however, more patients may have presented SARS-CoV-2 infection asymptomatically or with minimal symptoms as has been previously reported20.

The most common electrophysiological variant in our sample was AIDP (66%), being similar to what was reported in Europe and North America population21 and in contrast with what was previously reported in another study carried out in our country, where the AMAN variant was the most reported subtype (45.4%)1.

This difference observed in our study concerning the electrophysiological variant may be because the study by López-Hernandez et al. was carried out in a neurological medical center, while our study is more representative of a general hospital population.1 Despite this, both studies agree well on the frequency of clinical variants: sensory-motor in the first place (50%), followed by a pure motor (31%)1.

In the present study, we found a high percentage (82.3%) of non-ambulatory patients at the time of hospital admission (Hughes 4 or higher); this percentage is higher than that observed in the IGOS study, where 76% of the patients were non-ambulatory at the time of greater severity of the disease22. We consider that these findings may be due to sample bias, given that only hospitalized patients were included in this study, while those with less severity were not hospitalized.

In studies carried out in developing countries, mortality (17%) is usually higher than in developed countries (5%), which is probably due to a higher proportion of patients with axonal forms of GBS and less access and/or availability of mechanical respirators, intensive care facilities, and immunotherapy23. In our study, 91.9% of patients received immunotherapy, which was higher than expected, according to international reports. The need to require ventilatory support and stay in intensive care (23%) was greater, in contrast to reports from developed countries (19%), but lower (30.6%) than in other studies carried out in Mexico;1 in addition to observing low mortality in our study (2.8%).

Regarding the factors associated with functional prognosis at hospital discharge, in the present investigation, we found that ambulatory patients at discharge (Hughes < 3) had a significantly higher MRC score at admission. Likewise, ambulatory patients had a significantly lower mEGOS score on admission. Both results are expected, given that these evaluations have previously been reported to be significantly associated with functional prognosis in GBS24. Similarly, significantly higher levels of total blood lymphocytes were observed in non-ambulatory patients at hospital discharge. In this sense, the previous studies have shown that the neutrophil-to-lymphocyte ratio (NLR) can represent a good inflammatory and prognostic marker in patients with several neurological diseases25.

For example, one study investigated the relationship between the NLR measured on the day of admission and the subsequent motor deterioration in patients with GBS, finding an inverse and significant correlation between the NLR and the deterioration of motor function during the first 14 days in patients who did not receive immunotherapy26. In another study, the Hughes score had a positive correlation with NLR, and the MRC had a negative correlation with NLR25. However, in our study, no association was observed between NLR and good recovery at discharge. However, it was observed with the total serum lymphocytes, which, in any case, suggests that the severity of GBS may be associated with a greater systemic inflammatory response27. Other serum biomarkers that have been associated with a worse prognosis how: low albumin, increased immunoglobulin, and increased levels of neurofilaments light chain28. Finally, it was observed that there were significantly higher levels of the serum CPK enzyme in patients with better functional recovery at discharge. This CPK elevation has already been reported in GBS in up to 16.7% of cases; however, its prognostic significance has yet to be fully understood, so it must be confirmed in subsequent studies29.

The limitation of this study was that the number of patients was reduced, so it will be necessary to increase the number in future studies. The sample has a selection bias since only patients requiring hospitalization due to their severity were included in the study. Likewise, it would be important to have long-term functional and quality-of-life evaluations of patients to establish whether short- and long-term prognostic markers are the same or different. Finally, it will also be important in future studies to have more information on the different parameters of neurophysiology studies and the antiganglioside antibody profile of patients.

Conclusions

The most frequently observed clinical variant of GBS was the classic variety (sensory-motor), and the most common electrophysiological variant was the demyelinating variety. A significant effect of immunotherapy treatment on functional status at hospital discharge was corroborated. MRC at admission, mEGOS scale, total serum lymphocyte count, and CPK levels were associated with functional prognosis at hospital discharge.

Acknowledgments

The authors would like to thank the Clinical Neurology service of unit 403B of the Hospital General de México “Dr. Eduardo Liceaga,” which provides humanistic care to patients with neurological disorders. We would like to thank Johendi Pérez Villalobos for her invaluable support in the organization and analysis of the information for this research.

REFERENCES

1. López-Hernández JC, Colunga-Lozano LC, Garcia-Trejo S, Gomez-Figueroa E, Delgado-Garcia G, Bazán-Rodriguez L, et al. Electrophysiological subtypes and associated prognosis factors of Mexican adults diagnosed with Guillain-Barrésyndrome, a single center experience. J Clin Neurosci. 2020;80:292-7. [ Links ]

2. Khedr EM, Mohamed MZ, Shehab MM. The early clinical and laboratory predictors of GBS outcome:hospital-based study, Assiut University, Upper Egypt. Egypt J Neurol Psychiatry Neurosurg. 2023;59:45. [ Links ]

3. Wen P, Wang L, Liu H, Gong L, Ji H, Wu H,et al. Risk factors for the severity of Guillain-Barrésyndrome and predictors of short-term prognosis of severe Guillain-Barrésyndrome. Sci Rep. 2021;11:11578. [ Links ]

4. Zhang Y, Zhao Y, Wang Y. Prognostic factors of Guillain-Barrésyndrome:a 111-case retrospective review. Chin Neurosurg J. 2018;4:14. [ Links ]

5. Galnares-Olalde JA, López-Hernández JC, García-Grimshaw M, Valdés-Ferrer SI, Briseño-Godínez ME, de-Sarachaga AJ,et al. Guillain-Barrésyndrome in Mexico:an updated review amid the coronavirus disease 2019 ERA. Rev Invest Clin. 2022;74:121-30. [ Links ]

6. Ginanneschi F, Giannini F, Sicurelli F, Battisti C, Capoccitti G, Bartalini S,et al. Clinical features and outcome of the Guillain-Barrésyndrome:a single-center 11-year experience. Front Neurol. 2022;13:856091. [ Links ]

7. Bragazzi NL, Kolahi AA, Nejadghaderi SA, Lochner P, Brigo F, Naldi A,et al. Global, regional, and national burden of Guillain-Barrésyndrome and its underlying causes from 1990 to 2019. J Neuroinflammation. 2021;18:264. [ Links ]

8. Papri N, Islam Z, Leonhard SE, Mahommad QD, Endtz HP, Jacobs BC. Guillain-Barrésyndrome in low-income and middle-income countries:challenges and prospects. Nat Rev Neurol. 2021;17:285-96. [ Links ]

9. Palaiodimou L, Stefanou MI, Katsanos AH, Fragkou PC, Papadopoulou M, Moschovos C,et al. Prevalence, clinical characteristics and outcomes of Guillain-Barrésyndrome spectrum associated with COVID-19:a systematic review and meta-analysis. Eur J Neurol. 2021;28:3517-29. [ Links ]

10. Fokke C, Van der Berg B, Drenthen J, Walgaard C, Van Doorn PA, Casper-Jacobs B. Diagnosis of Guillain-Barrésyndrome and validation of Brighton criteria. Brain. 2014;137:33-43. [ Links ]

11. Briseño-Godínez ME, Arauz A, López-Hernández JC, de Saráchaga AJ, Pérez-Valdez EY, May-Más RN,et al. Prognostic factors in elderly patients with Guillain-Barrésyndrome:does age matter?Neurohospitalist. 2021;11:303-9. [ Links ]

12. Wu X, Li C, Zhang B, Shen D, Li T, Liu K,et al. Predictors for mechanical ventilation and short-term prognosis in patients with Guillain-Barrésyndrome. Crit Care. 2015;19:310. [ Links ]

13. Wachira VK, Peixoto HM, de Oliveira MR. Systematic review of factors associated with the development of Guillain-Barrésyndrome 2007-2017:what has changed?Trop Med Int Health. 2019;24:132-42. [ Links ]

14. Di X, Wang J, Li L, Liu L. Establishment of a single-center-based early prognostic scoring system for Guillain-Barrésyndrome. BMC Neurol. 2023;23:97. [ Links ]

15. Cabanillas-Lazo M, Quispe-Vicuña C, Cruzalegui-Bazán C, Pascual-Guevara M, Mori-Quispe N, Alva-Diaz C. The neutrophil-to-lymphocyte ratio as a prognostic biomarker in Guillain-Barrésyndrome:a systematic review with meta-analysis. Front Neurol. 2023;14:1153690. [ Links ]

16. Shahrizaila N, Lehmann HC, Kuwabara S. Guillain-Barrésyndrome. Lancet. 2021;397:1214-28. [ Links ]

17. Ghazanfar H, Qazi R, Ghazanfar A, Iftekhar S. Significance of brighton criteria in the early diagnosis and management of Guillain-Barrésyndrome. Cureus. 2020;12:e8318. [ Links ]

18. McCombe PA, Hardy TA, Nona RJ, Greer JM. Sex differences in Guillain Barrésyndrome, chronic inflammatory demyelinating polyradiculoneuropathy and experimental autoimmune neuritis. Front Immunol. 2022;13:1038411. [ Links ]

19. Sejvar JJ, Baughman AL, Wise M, Morgan OW. Population incidence of Guillain-Barrésyndrome:a systematic review and meta-analysis. Neuroepidemiology. 2011;36:123-33. [ Links ]

20. Abu-Rumeileh S, Abdelhak A, Foschi M, Tumani H, Otto M. Guillain-Barrésyndrome spectrum associated with COVID-19:an up-to-date systematic review of 73 cases. J Neurol. 2021;268:1133-70. [ Links ]

21. Malek E, Salameh J. Guillain-Barrésyndrome. Semin Neurol. 2019;39:589-95. [ Links ]

22. Doets AY, Verboon C, van den Berg B, Harbo T, Cornblath DR, Willison HJ,et al. Regional variation of Guillain-Barrésyndrome. Brain. 2018;141:2866-77. [ Links ]

23. Islam Z, Papri N, Ara G, Ishaque T, Alam AU, Jahan I,et al. Risk factors for respiratory failure in Guillain-Barrésyndrome in Bangladesh:a prospective study. Ann Clin Transl Neurol. 2019;6:324-32. [ Links ]

24. van den Berg B, Walgaard C, Drenthen J, Fokke C, Jacobs BC, van Doorn PA. Guillain-Barrésyndrome:pathogenesis, diagnosis, treatment and prognosis. Nat Rev Neurol. 2014;10:469-82. [ Links ]

25. Banerjee S, Bhattacharjee M, Hossain MI, Hossain MS, Roy S, Shahiduzzaman M,et al. Relation of neutrophil-lymphocyte ratio with clinical severity in patients with Guillain-Barrésyndrome. Mymensingh Med J. 2023;32:599-605. [ Links ]

26. Sutantoyo FF, Fadil, Basuki M, Fidiana, Hamdan M. Correlation between neutrophil-to-lymphocyte ratio and motoric deterioration in patients with Guillain-Barrésyndrome. J Clin Neurol. 2022;18:671-80. [ Links ]

27. Sarejloo S, Khanzadeh S, Hosseini S, Gargari MK, Lucke-Wold B, Mosalamiaghili S,et al. Role of the neutrophil to lymphocyte ratio in Guillain Barrésyndrome:a systematic review and meta-analysis. Mediators Inflamm. 2022;2022:3390831. [ Links ]

28. Fokkink WR, Walgaard C, Kuitwaard K, Tio-Gillen AP, van Doorn PA, Jacobs BC. Association of albumin levels with outcome in intravenous immunoglobulin-treated Guillain-Barrésyndrome. JAMA Neurol. 2017;74:189-96. [ Links ]

29. Choi SJ, Hong YH, Kim JS, Shin JJ, Sung JJ. HyperCKemia in Guillain-Barrésyndrome. Eur Neurol 2020;83:415-20. [ Links ]

FundingThe authors declare that they have not received funding.

Ethical disclosures

Protection of human and animal subjects. The authors declare that no experiments were performed on humans or animals for this study.

Confidentiality of data. The authors declare that they have followed the protocols of their work center on the publication of patient data.

Right to privacy and informed consent. The authors have obtained the written informed consent of the patients or subjects mentioned in the article. The corresponding author is in possession of this document.

Use of artificial intelligence for generating text. The authors declare that they have not used any type of generative artificial intelligence for the writing of this manuscript, nor for the creation of images, graphics, tables, or their corresponding captions.

Received: August 24, 2023; Accepted: December 12, 2023

* Correspondence: Paul Carrillo-Mora E-mail: neuropcm@gmail.com

Conflicts of interest

The authors declare that they have no conflicts of interest.

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