Soetomo score: score model in early identification of acute haemorrhagic stroke

• Authors: Moh Hasan Machfoed , Valentinus Besin , Riani Wisnujono

Title variants

PL

Ocena Soetomo: model oceny we wczesnym rozpoznaniu ostrego udaru krwotocznego

• Languages of publication: EN PL

Abstracts

EN

Aim of the study: On financial or facility constraints of brain imaging, score model is used to predict the occurrence of acute haemorrhagic stroke. Accordingly, this study attempts to develop a new score model, called Soetomo score. Material and methods: The researchers performed a cross-sectional study of 176 acute stroke patients with onset of ≤24 hours who visited emergency unit of Dr. Soetomo Hospital from July 14th to December 14th, 2014. The diagnosis of haemorrhagic stroke was confirmed by head computed tomography scan. There were seven predictors of haemorrhagic stroke which were analysed by using bivariate and multivariate analyses. Furthermore, a multiple discriminant analysis resulted in an equation of Soetomo score model. The receiver operating characteristic procedure resulted in the values of area under curve and intersection point identifying haemorrhagic stroke. Afterward, the diagnostic test value was determined. Results: The equation of Soetomo score model was (3 × loss of consciousness) + (3.5 × headache) + (4 × vomiting) − 4.5. Area under curve value of this score was 88.5% (95% confidence interval = 83.3–93.7%). In the Soetomo score model value of ≥−0.75, the score reached the sensitivity of 82.9%, specificity of 83%, positive predictive value of 78.8%, negative predictive value of 86.5%, positive likelihood ratio of 4.88, negative likelihood ratio of 0.21, false negative of 17.1%, false positive of 17%, and accuracy of 83%. Conclusions: The Soetomo score model value of ≥−0.75 can identify acute haemorrhagic stroke properly on the financial or facility constrains of brain imaging.

PL

Cel: W przypadku ograniczeń finansowych lub lokalizacyjnych w zakresie obrazowania mózgu stosowany jest model oceny, który ma pomóc przewidzieć wystąpienie ostrego udaru krwotocznego. W niniejszym opracowaniu podjęto próbę opracowania nowego modelu oceny, nazwanego oceną Soetomo. Materiał i metoda: Autorzy przeprowadzili przekrojowe badanie 176 pacjentów z ostrym udarem, który wystąpił w ciągu ≤24 godzin, przyjętych na oddział pomocy doraźnej szpitala Dr Soetomo w okresie od 14 lipca do 14 grudnia 2014 roku. Diagnoza udaru krwotocznego była potwierdzana tomografią komputerową głowy. Stwierdzono siedem predyktorów udaru krwotocznego, które poddano analizom dwuwymiarowym i wielowymiarowym. Ponadto dzięki wielowymiarowej analizie dyskryminacyjnej uzyskano równanie dla modelu oceny Soetomo. Otrzymana charakterystyczna procedura operacyjna przyniosła wartości obszaru poniżej krzywej i punktu przecięcia określającego udar krwotoczny. Następnie określono wartość badania diagnostycznego. Wyniki: Równanie modelu oceny Soetomo było następujące: (3 × utrata przytomności) + (3,5 × ból głowy) + (4 × wymioty) – 4,5. Wartość pola pod krzywą dla tej oceny wyniosła 88,5% (95% przedział ufności = 83,3–93,7%). Przy wartości oceny Soetomo ≥−0,75 uzyskano czułość 82,9%, swoistość 83%, wartość predykcyjną dodatnią 78,8%, wartość predykcyjną ujemną 86,5%, wskaźnik wiarygodności wyniku dodatniego 4,88, wskaźnik wiarygodności wyniku ujemnego 0,21, odsetek wyników fałszywie ujemnych 17,1%, odsetek wyników fałszywie dodatnich 17% oraz dokładność 83%. Wnioski: Wartość oceny Soetomo ≥−0,75 może pomóc prawidłowo rozpoznać ostry udar krwotoczny w przypadku ograniczeń finansowych lub lokalizacyjnych w zakresie obrazowania mózgu.

Keywords

EN

Soetomo score; acute haemorrhagic stroke; badanie diagnostyczne; diagnostic test; ocena Soetomo; ostry udar krwotoczny

Discipline

• MEDICINE: MEDICINE

• Publisher: Medical Communications
• Journal: Aktualności Neurologiczne
• Year: 2016
• Volume: 16
• Issue: 2
• Pages: 71-78

Contributors

author

Moh Hasan Machfoed

• Department of Neurology, Faculty of Medicine Airlangga University/Dr. Soetomo Hospital, Surabaya, Indonesia

author

Valentinus Besin

• Department of Neurology, Faculty of Medicine Airlangga University/Dr. Soetomo Hospital, Jl. Mayjend. Prof. Dr. Moestopo 6–8, Surabaya – 60286, Indonesia, tel.: [phone], fax: [phone]

author

Riani Wisnujono

• Department of Neurology, Faculty of Medicine Airlangga University/Dr. Soetomo Hospital, Surabaya, Indonesia

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• Document Type: article