scholarly journals A Predictive Model for Guillain-Barré Syndrome Based on Single Learning Algorithms

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Juana Canul-Reich ◽  
Juan Frausto-Solís ◽  
José Hernández-Torruco

Background. Guillain-Barré Syndrome (GBS) is a potentially fatal autoimmune neurological disorder. The severity varies among the four main subtypes, named as Acute Inflammatory Demyelinating Polyneuropathy (AIDP), Acute Motor Axonal Neuropathy (AMAN), Acute Motor Sensory Axonal Neuropathy (AMSAN), and Miller-Fisher Syndrome (MF). A proper subtype identification may help to promptly carry out adequate treatment in patients. Method. We perform experiments with 15 single classifiers in two scenarios: four subtypes’ classification and One versus All (OvA) classification. We used a dataset with the 16 relevant features identified in a previous phase. Performance evaluation is made by 10-fold cross validation (10-FCV). Typical classification performance measures are used. A statistical test is conducted in order to identify the top five classifiers for each case. Results. In four GBS subtypes’ classification, half of the classifiers investigated in this study obtained an average accuracy above 0.90. In OvA classification, the two subtypes with the largest number of instances resulted in the best classification results. Conclusions. This study represents a comprehensive effort on creating a predictive model for Guillain-Barré Syndrome subtypes. Also, the analysis performed in this work provides insight about the best single classifiers for each classification case.

2019 ◽  
Vol 18 (03) ◽  
pp. 171-174
Author(s):  
Federica Sullo ◽  
Milena Motta ◽  
Pierluigi Smilari ◽  
Luigi Rampello ◽  
Filippo Greco ◽  
...  

AbstractGuillain–Barré syndrome (GBS) is an acute inflammatory polyneuropathy characterized by rapidly progressive, essentially symmetric weakness and areflexia in a previously otherwise healthy child. It is the most common cause of acute flaccid paralysis in children, and its reported incidence is 1 to 2/100,000 population. Prior infection is a well-established predating event in GBS. The commonly recognized variants of GBS are acute inflammatory demyelinating polyneuropathy (AIDP), acute motor axonal neuropathy (AMAN), acute motor sensory axonal neuropathy, and Miller–Fisher syndrome. AIDP is the most prevalent form. As Guillain–Barrè syndrome represents an important differential diagnosis in infancy with pronounced and progressive hypotonia, we herein report a case of AMAN in a 5-month-old male infant without known exposure to immunomodulating factors or infections.


2011 ◽  
Vol 15 (6) ◽  
pp. 605-609 ◽  
Author(s):  
Jocelyn Cheng ◽  
D. Ethan Kahn ◽  
Michael Y. Wang

Guillain-Barré syndrome (GBS) is the eponym used to describe acute inflammatory polyradiculoneuropathies, which manifest with weakness and diminished reflexes. Although the classic form of GBS is considered to be an ascending demyelinating polyneuropathy, several variants have been described in the literature, including the Miller-Fisher syndrome, acute panautonomic neuropathy, acute motor axonal neuropathy, and acute motor-sensory axonal neuropathy (AMSAN). Few cases of postoperative GBS have been documented, particularly for the AMSAN variant. The authors describe the case of a patient who developed AMSAN after thoracic spine surgery and highlight the importance of investigating new-onset weakness in the postoperative period.


Author(s):  
Bashar Katirji

Guillain-Barré syndrome is the prototype of acute immune-mediated neuropathies. Guillain-Barré syndrome has several subtypes including acute inflammatory demyelinating polyneuropathy, acute motor axonal neuropathy, and acute motor sensory axonal neuropathy. Guillain-Barré syndrome has also several variants including Miller Fisher syndrome, ataxic form, and pharyngeal–cervical–brachial form. This case highlights the clinical findings in Guillain-Barré syndrome and discusses in details the diagnostic criteria that are essential in confirming the diagnosis and excluding mimickers of the disorder. This is followed by a detailed discussion on the electrodiagnostic findings in Guillain-Barré syndrome during the acute presentation and recovery phase. The diagnostic sensitivity and specificity of the various findings seen on nerve conduction studies are included.


1970 ◽  
Vol 24 (2) ◽  
pp. 54-60
Author(s):  
NC Kundu

Thirty consecutive patients diagnosed clinically as Guillain Barré Syndrome (GBS) were enrolled in this study to see the electrophysiological patterns of GBS in Bangladeshi community. Among 30 patients, 25 were male (M: F = 5:1) and 47% patients were between 16 and 25 years of age. An antecedent event was present in 67% of patients. An elevated protein was present in 90% of cases and a cell count of up to five was present in 94% of patients. Acute inflammatory demyelinating polyradiculopathy (AIDP) was commonest (33.35%) followed by acute motor axonal neuropathy (AMAN) which constitute 26% of patients in electrophysiological study of the enrolled patients. Acute motor sensory axonal neuropathy constitutes 14% of cases in this series. (J Bangladesh Coll Phys Surg 2006; 24: 54-60)


2020 ◽  
Vol 3 (1) ◽  
pp. 4-11
Author(s):  
Sarmad Al Hamdani ◽  
Fatema Yusuf Aljanabi ◽  
Maryam Isa Abdulrasool ◽  
Alaa Haitham Salman

Intravenous immunoglobulin (IVIG) has long been regarded as the first-line treatment for Guillain-Barré syndrome (GBS), with plasmapheresis only being reserved for severe cases or used as an additional therapy of unproven efficacy. Here, we present the case of a 9-year-old girl with acute motor axonal neuropathy (AMAN), a rapidly progressive subtype of GBS that caused her to fall into respiratory failure. The patient failed to show a response 10 days after starting IVIG, but showed rather quick improvement with plasmapheresis. She received a total of 5 sessions of plasmapheresis on alternate days over a course of 8 days. Before starting plasmapheresis, her muscle strength was 2/5 in both upper limbs and 1/5 in both lower limbs, and she was dependent on mechanical ventilation. Following the first session, her power improved from 2/5 to 4/5 in the upper limbs, and the gag and sucking reflexes were recovered. On day 3, after the second session was initiated, she was extubated successfully (having been on a ventilator for 2 weeks) and remained on continuous positive airway pressure for the next 48 h, after which she was on room air. In addition, she was having hypertension from the first day of the diagnosis (which was due to autonomic instability), which improved after clonidine to maintain her blood pressure. She was also initially having urinary retention, then was off Foley’s catheter. The patient was discharged from the hospital 2 weeks following the first session of plasmapheresis, with power grade 4/5 in both her upper and lower limbs. Her cranial nerves had recovered fully, and she was able to walk with aids.


2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Juana Canul-Reich ◽  
José Hernández-Torruco ◽  
Oscar Chávez-Bosquez ◽  
Betania Hernández-Ocaña

Nowadays, Machine Learning methods have proven to be highly effective on the identification of various types of diseases, in the form of predictive models. Guillain–Barré syndrome (GBS) is a potentially fatal autoimmune neurological disorder that has barely been studied with computational techniques and few predictive models have been proposed. In a previous study, single classifiers were successfully used to build a predictive model. We believe that a predictive model is imperative to carry out adequate treatment in patients promptly. We designed three classification experiments: (1) using all four GBS subtypes, (2) One versus All (OVA), and (3) One versus One (OVO). These experiments use a real-world dataset with 129 instances and 16 relevant features. Besides, we compare five state-of-the-art ensemble methods against 15 single classifiers with 30 independent runs. Standard performance measures were used to obtain the best classifier in each experiment. Derived from the experiments, we conclude that Random Forest showed the best results in four GBS subtypes classification, no ensemble method stood out over the rest in OVA classification, and single classifiers outperformed ensemble methods in most cases in OVO classification. This study presents a novel predictive model for classification of four subtypes of Guillain–Barré syndrome. Our model identifies the best method for each classification case. We expect that our model could assist specialized physicians as a support tool and also could serve as a basis to improved models in the future.


2021 ◽  
Vol 12 (1) ◽  
pp. 16-21
Author(s):  
SM Monowar Hossain ◽  
Zahed Ali ◽  
Mohammad Motiur Rahman ◽  
Md Aolad Hossain ◽  
Pallab Kanti Saha ◽  
...  

Background: Guillain-Barre syndrome (GBS) is an acute, frequently severe and fulminant polyradiculoneuropathy that is autoimmune in nature. Incidence and predominant subtypes of GBS differ geographically. Electrophysiology has important role in subtyping GBS. This study aimed to evaluate the electrophysiological findings in patient of GBS. Methods: This was a hospital based cross-sectional descriptive study and conducted at the Department of Neurology in Sir Salimullah Medical College & Mitford Hospital, Dhaka and National Institute of Neurosciences and Hospital, Dhaka during July 2017 to June 2018. Clinically diagnosed 53 patients with GBS were enrolled according to prefixed selection criteria. Detail history taking, clinical examination, nerve conduction study and cerebrospinal fluid (CSF) examination was performed in all cases. Clinical findings, nerve conduction study (NCS) parameters, CSF findings and demographic profiles were evaluated. Results: Mean ± SD age of presentation was 41.64 (±14.56) years and median age was 42.0 years. There were total 33(62 %) males and 20 (38 %) females with male: female ratio of 1.7:1. Clinically two-thirds(62.3%) of patients had both upper and lower limb involvement (62.3%), facial weakness was in 32.1% and 13.2% had bulbar involvement. Acute inflammatory demyelinating polyneuropathy (AIDP), acute motor axonal neuropathy (AMAN) and acute motor sensory axonal neuropathy (AMSAN)were found to be 51%, 32% and 17% respectively. CSFprotein was elevated in most of the patients with a range of 16-725 mg/dl. Highest CSF protein was found in AIDP. Conclusion: Electrophysiological studies play an important role in the early detection; characterization of GBS.In this study, the commonest type of GBS was AIDP. Higher levels of CSF protein, absent H-reflex and Fresponse, sural sparing and unexcitable nerves are more frequently present in AIDP. BIRDEM Med J 2022; 12(1): 16-21


2019 ◽  
Vol 48 (6) ◽  
pp. 725-727 ◽  
Author(s):  
Bouattour Nadia ◽  
Farhat Nouha ◽  
Sakka Salma ◽  
Dammak Mariem ◽  
Boujelbene Mohamed Salah ◽  
...  

2017 ◽  
Vol 08 (03) ◽  
pp. 475-477 ◽  
Author(s):  
Anupam Gupta ◽  
Maitreyi Patil ◽  
Meeka Khanna ◽  
Rashmi Krishnan ◽  
Arun B. Taly

ABSTRACTWe report three females who developed Guillain–Barre Syndrome in postpartum period (within 6 weeks of delivery) and were admitted in the Neurological Rehabilitation Department for rehabilitation after the initial diagnosis and treatment in the Department of Neurology. The first case, axonal variant (acute motor axonal neuropathy [AMAN]) had worst presentation at the time of admission, recovered well by the time of discharge. The second case, acute motor sensory axonal neuropathy variant and the third case, AMAN variant presented at the late postpartum period. Medical treatment was sought much later due to various reasons and both the patients had an incomplete recovery at discharge. Apart from their presentations, rehabilitation management is also discussed in some detail.


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