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Assessing the Predictors and Outcomes of Guillain-Barré Syndrome at St. Paul’s and Zewditu Hospitals in Addis Ababa, Ethiopia

Received: 5 September 2022    Accepted: 16 September 2022    Published: 29 September 2022
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Abstract

Guillain–Barré Syndrome (GBS) is the most frequent cause of acute flaccid paralysis worldwide and constitute one of serious emergencies in neurology. In Ethiopia there is high prevalence of infectious disease influencing the prevalence as well as the subsequent outcome of GBS where there is significant constrain in the availability of critical care, rehabilitation and social service. So, the objective of this study is assessing predictors and outcomes of Guillain-Barré Syndrome. Retrospective cross sectional study was used and all patients who fulfill the inclusion criteria’s for GBS in the 7 years period were included. The organized data was interpreted using descriptive methods in the form of tables, charts, and graphs in the SPSS version 20 and Excel software. Binary logistic regression analysis was used to assess the association between exposure variables and outcome of GBS. And univariate analysis performed to screen out potentially significant independent variables to be included in the multivariable binary logistic regression. The most common presenting symptoms were muscle weakness (91), respiratory muscle involvement (32) and Cranial Nerve involvement (27). HIV (40.64%) and DM (31.25%) were important comorbid illness. Cranial nerve palsies, respiratory compromise, disability score, need of mechanical ventilation, HIV and DM were significantly associated with worse outcome. Common GBS variants identified were AMAN (36%) and AIDP (30%), AMAN type were associated with unfortunate outcome. GBS-specific therapy was administered in 43.96% patients and having appropriate treatment had lower incidence of poor outcome. Generally, this study showed 60% of patients had good outcome (GDS ≤ 2) and 40% of bad outcome (GDS > 2). Digitization of medical recording evaluation report using a software based template would help to improve the completeness of each patient report and awareness of predictors of GBS outcome and being perceptive for alarming features will help allocate resource in keen manner in our resource restricted setting. Having GBS specific treatments available in affordable and accessible manner will inflict significant light in the prognosis of GBS patients. It would be better to conduct further studies on Concordance between molecular tests, anti-body, sequential electro-diagnostic tests and availability of physiotherapy to have better model that predict outcome of GBS.

Published in American Journal of Nursing and Health Sciences (Volume 3, Issue 3)
DOI 10.11648/j.ajnhs.20220303.15
Page(s) 73-83
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

GBS Disability Score, Guillain–Barré Syndrome, Outcome, Predictors

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    Wubakal Teshome, Tesfaye Dagne, Tsegaye Getachew. (2022). Assessing the Predictors and Outcomes of Guillain-Barré Syndrome at St. Paul’s and Zewditu Hospitals in Addis Ababa, Ethiopia. American Journal of Nursing and Health Sciences, 3(3), 73-83. https://doi.org/10.11648/j.ajnhs.20220303.15

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    Wubakal Teshome; Tesfaye Dagne; Tsegaye Getachew. Assessing the Predictors and Outcomes of Guillain-Barré Syndrome at St. Paul’s and Zewditu Hospitals in Addis Ababa, Ethiopia. Am. J. Nurs. Health Sci. 2022, 3(3), 73-83. doi: 10.11648/j.ajnhs.20220303.15

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    AMA Style

    Wubakal Teshome, Tesfaye Dagne, Tsegaye Getachew. Assessing the Predictors and Outcomes of Guillain-Barré Syndrome at St. Paul’s and Zewditu Hospitals in Addis Ababa, Ethiopia. Am J Nurs Health Sci. 2022;3(3):73-83. doi: 10.11648/j.ajnhs.20220303.15

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  • @article{10.11648/j.ajnhs.20220303.15,
      author = {Wubakal Teshome and Tesfaye Dagne and Tsegaye Getachew},
      title = {Assessing the Predictors and Outcomes of Guillain-Barré Syndrome at St. Paul’s and Zewditu Hospitals in Addis Ababa, Ethiopia},
      journal = {American Journal of Nursing and Health Sciences},
      volume = {3},
      number = {3},
      pages = {73-83},
      doi = {10.11648/j.ajnhs.20220303.15},
      url = {https://doi.org/10.11648/j.ajnhs.20220303.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnhs.20220303.15},
      abstract = {Guillain–Barré Syndrome (GBS) is the most frequent cause of acute flaccid paralysis worldwide and constitute one of serious emergencies in neurology. In Ethiopia there is high prevalence of infectious disease influencing the prevalence as well as the subsequent outcome of GBS where there is significant constrain in the availability of critical care, rehabilitation and social service. So, the objective of this study is assessing predictors and outcomes of Guillain-Barré Syndrome. Retrospective cross sectional study was used and all patients who fulfill the inclusion criteria’s for GBS in the 7 years period were included. The organized data was interpreted using descriptive methods in the form of tables, charts, and graphs in the SPSS version 20 and Excel software. Binary logistic regression analysis was used to assess the association between exposure variables and outcome of GBS. And univariate analysis performed to screen out potentially significant independent variables to be included in the multivariable binary logistic regression. The most common presenting symptoms were muscle weakness (91), respiratory muscle involvement (32) and Cranial Nerve involvement (27). HIV (40.64%) and DM (31.25%) were important comorbid illness. Cranial nerve palsies, respiratory compromise, disability score, need of mechanical ventilation, HIV and DM were significantly associated with worse outcome. Common GBS variants identified were AMAN (36%) and AIDP (30%), AMAN type were associated with unfortunate outcome. GBS-specific therapy was administered in 43.96% patients and having appropriate treatment had lower incidence of poor outcome. Generally, this study showed 60% of patients had good outcome (GDS ≤ 2) and 40% of bad outcome (GDS > 2). Digitization of medical recording evaluation report using a software based template would help to improve the completeness of each patient report and awareness of predictors of GBS outcome and being perceptive for alarming features will help allocate resource in keen manner in our resource restricted setting. Having GBS specific treatments available in affordable and accessible manner will inflict significant light in the prognosis of GBS patients. It would be better to conduct further studies on Concordance between molecular tests, anti-body, sequential electro-diagnostic tests and availability of physiotherapy to have better model that predict outcome of GBS.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Assessing the Predictors and Outcomes of Guillain-Barré Syndrome at St. Paul’s and Zewditu Hospitals in Addis Ababa, Ethiopia
    AU  - Wubakal Teshome
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    DO  - 10.11648/j.ajnhs.20220303.15
    T2  - American Journal of Nursing and Health Sciences
    JF  - American Journal of Nursing and Health Sciences
    JO  - American Journal of Nursing and Health Sciences
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    EP  - 83
    PB  - Science Publishing Group
    SN  - 2994-7227
    UR  - https://doi.org/10.11648/j.ajnhs.20220303.15
    AB  - Guillain–Barré Syndrome (GBS) is the most frequent cause of acute flaccid paralysis worldwide and constitute one of serious emergencies in neurology. In Ethiopia there is high prevalence of infectious disease influencing the prevalence as well as the subsequent outcome of GBS where there is significant constrain in the availability of critical care, rehabilitation and social service. So, the objective of this study is assessing predictors and outcomes of Guillain-Barré Syndrome. Retrospective cross sectional study was used and all patients who fulfill the inclusion criteria’s for GBS in the 7 years period were included. The organized data was interpreted using descriptive methods in the form of tables, charts, and graphs in the SPSS version 20 and Excel software. Binary logistic regression analysis was used to assess the association between exposure variables and outcome of GBS. And univariate analysis performed to screen out potentially significant independent variables to be included in the multivariable binary logistic regression. The most common presenting symptoms were muscle weakness (91), respiratory muscle involvement (32) and Cranial Nerve involvement (27). HIV (40.64%) and DM (31.25%) were important comorbid illness. Cranial nerve palsies, respiratory compromise, disability score, need of mechanical ventilation, HIV and DM were significantly associated with worse outcome. Common GBS variants identified were AMAN (36%) and AIDP (30%), AMAN type were associated with unfortunate outcome. GBS-specific therapy was administered in 43.96% patients and having appropriate treatment had lower incidence of poor outcome. Generally, this study showed 60% of patients had good outcome (GDS ≤ 2) and 40% of bad outcome (GDS > 2). Digitization of medical recording evaluation report using a software based template would help to improve the completeness of each patient report and awareness of predictors of GBS outcome and being perceptive for alarming features will help allocate resource in keen manner in our resource restricted setting. Having GBS specific treatments available in affordable and accessible manner will inflict significant light in the prognosis of GBS patients. It would be better to conduct further studies on Concordance between molecular tests, anti-body, sequential electro-diagnostic tests and availability of physiotherapy to have better model that predict outcome of GBS.
    VL  - 3
    IS  - 3
    ER  - 

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Author Information
  • Department of Internal Medicine, Saint Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia

  • Knowledge Translation Directorate, Ethiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia

  • Knowledge Translation Directorate, Ethiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia

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