Journals / Türk Nöroloji Dergisi / 2019 / Cilt: 25 - Sayı: 3

Factors Associated with Prognosis in Patients with Guillain-Barré Syndrome

Guillain-Barré Sendromlu Hastalarda Prognozla İlişkili Faktörler

Pages
140–145
Publication Date
2022-11-05
DOI
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⚡ TL;DR(Too Long; Didn't Read)

Older age (≥50), high Hughes score at admission, weakness in extremities as the first symptom, presence of complications, need for mechanical ventilation, and presence of gastroenteritis as a precursor infection were poor prognostic factors.

📌 3 Key Takeaways

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Objective & Hypothesis:Objective: We aimed to evaluate the demographic, clinical, laboratory and electrophysiological findings of patients with inpatient Guillain-Barré syndrome in our clinics and to investigate the effect of these parameters on the prognosis of the disease.
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Key Findings & Data:Materials and Methods: Between January 2014 and April 2018, file records of patients admitted to our clinics with the diagnosis of Guillain-Barré syndrome were retrospectively reviewed.
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Conclusion & Impact:Older age (≥50), high Hughes score at admission, weakness in extremities as the first symptom, presence of complications, need for mechanical ventilation, and presence of gastroenteritis as a precursor infection were poor prognostic factors.
🔬Design:Review & Systematic Survey
📍Scope:2014 Verileri
⚙️Variables:Domain Parameters

Abstract

Objective: We aimed to evaluate the demographic, clinical, laboratory and electrophysiological findings of patients with inpatient Guillain-Barré syndrome in our clinics and to investigate the effect of these parameters on the prognosis of the disease. Materials and Methods: Between January 2014 and April 2018, file records of patients admitted to our clinics with the diagnosis of Guillain-Barré syndrome were retrospectively reviewed. Demographic characteristics, clinical, laboratory and electrophysiological findings of the patients at the time of admission were recorded. Patients were clinically graded according to the Hughes classification at the time of admission and on the 3rd month after discharge. Results: In the study, 25 of the 51 patients were male (49%) and 26 were female (51%) and the mean age was 54.21±17.32 years. According to clinical and electrophysiologic diagnosis, 34 patients (66.7%) had acute inflammatory demyelinating polyradiculoneuropathy, 9 patients (17.6%) had acute motor axonal neuropathy, 6 patients (11.8%) had acute motor sensory axonal neuropathy and 2 patients (3.9%) had Miller Fisher syndrome. According to Hughes scoring on the 3rd month after discharge, 31 patients (60.8%) had in good prognosis (Hughes score ≤2) and 20 patients (39.2%) had in poor prognosis group (Hughes score >2). In the comparison between the two groups according to clinical, demographic, and laboratory parameters, older age (≥50), high Hughes score at admission, weakness in extremities as first complaint, the presence of complications, need for mechanical ventilation and presence of gastroenteritis as a leading infection were evaluated as prognostic factors. Conclusion: The most common variant of Guillain-Barré syndrome in our study was acute inflammatory demyelinating polyradiculoneuropathy. Older age (≥50), high Hughes score at admission, weakness in extremities as the first symptom, presence of complications, need for mechanical ventilation, and presence of gastroenteritis as a precursor infection were poor prognostic factors.

Özet

Amaç: Çalışmamızda, kliniklerimizde yatarak tedavi görmüş Guillain-Barré sendromlu hastaların demografik özelliklerinin, klinik, laboratuvar ve elektrofizyolojikbulgularının değerlendirilmesi ve bu parametrelerin hastalığın prognozuna etkisinin araştırılması amaçlanmıştır.Gereç ve Yöntem: Ocak 2014 ve Nisan 2018 tarihleri arasında Guillain-Barré sendromu tanısı ile kliniklerimizde yatan hastaların dosya kayıtları retrospektifolarak incelendi. Hastaların başvusu sırasındaki demografik özellikleri, klinik, laboratuvar ve elektrofizyolojik bulguları kayıt edildi. Hastaların yatış esnasında vetaburculuk sonrası 3. ayda Hughes sınıflamasına göre klinik derecelendirmesi yapıldı.Bulgular: Çalışmaya alınan 51 hastanın 25’i erkek (%49) ve 26’sı kadın (%51) olup yaş ortalamaları 54,21±17,32 yıl idi. Klinik ve elektrofizyolojik verileregöre 34 hasta (%66,7) akut enflamatuvar demiyelinizan poliradikülonöropati, 9 hasta (%17,6) akut motor aksonal nöropati, 6 hasta (%11,8) akut motor duyusalaksonal nöropati ve 2 hasta (%3,9) Miller Fisher sendromu olarak değerlendirildi. Hastaların taburculuk sonrası 3. ayda Hughes skorlamasına göre yapılangruplandırmalarında 31 hasta (%60,8) iyi prognozlu (Hughes skoru ≤2) ve 20 hasta (%39,2) kötü prognozlu (Hughes skoru >2) grupta yer aldı. Klinik,demografik ve laboratuvar parametrelerine göre her iki grup arasında yapılan karşılaştırmalarda ileri yaş (≥50), başlangıçta yüksek Hughes skoru, ilk yakınmaolarak ekstremitelerde güçsüzlük olması, komplikasyon varlığı, mekanik ventilasyona gereksinim olması ve öncül enfeksiyon olarak gastroenterit varlığı prognozaetkili faktörler olarak değerlendirildi.Sonuç: Çalışmamızda en yaygın Guillain-Barré sendromu varyantı akut enflamatuvar demiyelinizan poliradikülonöropati idi. İleri yaş (≥50), başlangıçta yüksekHughes skoru, ilk yakınma olarak ekstremitelerde güçsüzlük olması, komplikasyon varlığı, mekanik ventilasyona gereksinim olması ve öncül enfeksiyon olarakgastroenterit varlığı kötü prognostik faktörlerdi

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Cite This Article

DEMİRBAŞ, H., KABAY, S. C., SEYİT, M., TEMEL, Ö., AKDAĞ, G., ÇETİNER, M. (2022). Factors Associated with Prognosis in Patients with Guillain-Barré Syndrome. Türk Nöroloji Dergisi, Cilt: 25 - Sayı: 3, 140–145. https://ajindex.com/articles/636710

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References (17)

  1. Wicdicks EF, Klein CJ. Guillain Barre Syndrome. Mayo Clin Proc 2017;92:467-479
  2. Willison HJ, Jacobs BC, van Doorn PA. Guillain Barre Syndrome. Lancet 2016;388:717-727
  3. Webb AJ, Brain SA, Wood R, Rinaldi S, Turner MR. Seasonal variation in Guillain Barre Syndrome: a systematic review, meta-analysis and Oxfordshire cohort study. J Neurol Neurosurg Psychiatry 2015;86:1196-1201
  4. Donofrio PD. Guillain Barre Syndrome. Continuum (Minneap Minn) 2017;23:1295-1309
  5. Kalita J, Misra UK, Goyal G, Das M. Guillain Barre Syndrome: subtypes and predictors of outcome from India. J Peripher Nerv Syst 2014;19:36-43
  6. Shrivastava M, Nehal S, Seema N. Guillain Barre Syndrome: Demographics, clinical profile & seasonal variation in a tertiary care centre of central India. Indian J Med Res 2017;145:203-208
  7. Rajabally YA, Uncini A. Outcome and ist predictors in Guillain Barre Syndrome. J Neurol Neurosurg Psychiatry 2012;83:711-718
  8. Chevret S, Hughes RA, Annane D. Plazma exchange for Guillain Barre Syndrome. Cochrane Database Syst Rev 2017;CD001798
  9. Fokke C, van den Berg B, Drenthen J, Walgaard C, van Doorn PA, Jacobs BC. Diagnosis of Guillain Barre Syndrome and validation of Brighton criteria. Brain 2014;137:33-43
  10. Hughes RA, Newsom-Davis JM, Perkin GD, Pierce JM. Controlled trial prednisolone in acute polyneuropathy. Lancet 1978;2:750-753
  11. Terzi M, Türker H, Onar M. Guillain Barre Sendromunda Klinik ve Demografik Özellikler. Fırat Tıp Dergisi 2007;12:112-114
  12. Peric S, Milosevic V, Berisavac I, Stojiljkovic O, Beslac-Bumbasirevic L, Marjanovic I, et al. Clinical and epidemiological features of Guillain Barre Syndrome in the Western Balkans. J Peripher Nerv Syst 2014;19:317-321
  13. Matsui N, Nodera H, Kuzume D, Iwasa N, Unai Y, Sakai W, et al. Guillain Barre Syndrome in a local area in Japan, 2006-2015: an epidemiological and clinical study of 108 patients. Eur J Neurol 2018;25:718-724
  14. Van den Bergh PYK, Piéret F, Woodard JL, Attarian S, Grapperon AM, Nicolas G, et al. Guillain Barre Syndrome subtype diagnosis: A prospective multicentric European study. Muscle Nerve 2018
  15. Gazioğlu S, Tomak T, Boz C. Guillain Barre Sendromunda Klinik Özellikler ve Prognoz. J Neurol Sci 2013:30;124-134
  16. Akıl E, Varol S, Taşkın A, Arıkanoğlu A, Tamam Y, Öztürk Ü. GuillainBarre sendromunda klinik ve demografik özellikler. Dicle Tıp Dergisi 2014;41:707-711
  17. Sudulagunta SR, Sodalagunta MB, Sepehrar M, Khorram H, Bangalore Raja SK, Kothandapani S, et