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Validation of SUSPEKT Score in Predicting One-month Mortality of Patients with Hemorrhagic Stroke; a Diagnostic Accuracy Study

INTRODUCTION: Predicting the outcome of patients with intracranial hemorrhage (ICH) is the area of interest for in charge physicians as well as patients and their associates. This study aimed to evaluate the accuracy of SUSPEKT score in predicting one-month outcome of patients with hemorrhagic strok...

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Autores principales: Kariman, Hamid, Hatamabadi, Hamidreza, Shojaee, Majid, Asarzadegan, Farhad, Saljughi, Simin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shahid Beheshti University of Medical Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905424/
https://www.ncbi.nlm.nih.gov/pubmed/31875210
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author Kariman, Hamid
Hatamabadi, Hamidreza
Shojaee, Majid
Asarzadegan, Farhad
Saljughi, Simin
author_facet Kariman, Hamid
Hatamabadi, Hamidreza
Shojaee, Majid
Asarzadegan, Farhad
Saljughi, Simin
author_sort Kariman, Hamid
collection PubMed
description INTRODUCTION: Predicting the outcome of patients with intracranial hemorrhage (ICH) is the area of interest for in charge physicians as well as patients and their associates. This study aimed to evaluate the accuracy of SUSPEKT score in predicting one-month outcome of patients with hemorrhagic stroke. METHODS: This prospective cross sectional study was conducted on > 18 years old patients with non-traumatic supra-tentorial ICH admitted to emergency department, from February 2017 to January 2018. SUSPEKT score was measured for each patient and its screening performance characteristics in prediction of one-month mortality were calculated. RESULTS: 169 cases with the mean age of 63.09± 15.45 (21 – 96) years were studied (56.8% male). After one month follow up 47 (27.8%) cases had died, 30 (17.7%) cases were bed ridden, and 72 (42.6%) could walk without help or with a cane. Non-survived patients had significantly larger intra-ventricular hemorrhage (IVH) (p < 0.001) and hematoma (p < 0.001) volume, higher serum glucose (p < 0.001) and blood pressure (p = 0.028), higher frequency of IVH (p < 0.001), and higher WBC count (p = 0.037). Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of SUSPEKT score at the 65 cut point were 82.97% (95% CI: 68.65% – 91.86%), 74.59% (95% CI: 65.76% – 81.84%), 55.71% (95% CI: 43.38% – 67.40%), and 91.91% (95% CI: 84.23% – 96.16%), respectively. CONCLUSION: Total accuracy of SUSPEKT score in predicting one-month mortality of non- traumatic ICH patients is in good range and it has 82% sensitivity and 92% NPV in this regard. It seems that we need further studies before applying the score in routine practice.
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spelling pubmed-69054242019-12-24 Validation of SUSPEKT Score in Predicting One-month Mortality of Patients with Hemorrhagic Stroke; a Diagnostic Accuracy Study Kariman, Hamid Hatamabadi, Hamidreza Shojaee, Majid Asarzadegan, Farhad Saljughi, Simin Arch Acad Emerg Med Original Research INTRODUCTION: Predicting the outcome of patients with intracranial hemorrhage (ICH) is the area of interest for in charge physicians as well as patients and their associates. This study aimed to evaluate the accuracy of SUSPEKT score in predicting one-month outcome of patients with hemorrhagic stroke. METHODS: This prospective cross sectional study was conducted on > 18 years old patients with non-traumatic supra-tentorial ICH admitted to emergency department, from February 2017 to January 2018. SUSPEKT score was measured for each patient and its screening performance characteristics in prediction of one-month mortality were calculated. RESULTS: 169 cases with the mean age of 63.09± 15.45 (21 – 96) years were studied (56.8% male). After one month follow up 47 (27.8%) cases had died, 30 (17.7%) cases were bed ridden, and 72 (42.6%) could walk without help or with a cane. Non-survived patients had significantly larger intra-ventricular hemorrhage (IVH) (p < 0.001) and hematoma (p < 0.001) volume, higher serum glucose (p < 0.001) and blood pressure (p = 0.028), higher frequency of IVH (p < 0.001), and higher WBC count (p = 0.037). Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of SUSPEKT score at the 65 cut point were 82.97% (95% CI: 68.65% – 91.86%), 74.59% (95% CI: 65.76% – 81.84%), 55.71% (95% CI: 43.38% – 67.40%), and 91.91% (95% CI: 84.23% – 96.16%), respectively. CONCLUSION: Total accuracy of SUSPEKT score in predicting one-month mortality of non- traumatic ICH patients is in good range and it has 82% sensitivity and 92% NPV in this regard. It seems that we need further studies before applying the score in routine practice. Shahid Beheshti University of Medical Sciences 2019-09-29 /pmc/articles/PMC6905424/ /pubmed/31875210 Text en This open-access article distributed under the terms of the Creative Commons Attribution NonCommercial 3.0 License (CC BY-NC 3.0) (http://creativecommons.org/licenses/by/3.0/)
spellingShingle Original Research
Kariman, Hamid
Hatamabadi, Hamidreza
Shojaee, Majid
Asarzadegan, Farhad
Saljughi, Simin
Validation of SUSPEKT Score in Predicting One-month Mortality of Patients with Hemorrhagic Stroke; a Diagnostic Accuracy Study
title Validation of SUSPEKT Score in Predicting One-month Mortality of Patients with Hemorrhagic Stroke; a Diagnostic Accuracy Study
title_full Validation of SUSPEKT Score in Predicting One-month Mortality of Patients with Hemorrhagic Stroke; a Diagnostic Accuracy Study
title_fullStr Validation of SUSPEKT Score in Predicting One-month Mortality of Patients with Hemorrhagic Stroke; a Diagnostic Accuracy Study
title_full_unstemmed Validation of SUSPEKT Score in Predicting One-month Mortality of Patients with Hemorrhagic Stroke; a Diagnostic Accuracy Study
title_short Validation of SUSPEKT Score in Predicting One-month Mortality of Patients with Hemorrhagic Stroke; a Diagnostic Accuracy Study
title_sort validation of suspekt score in predicting one-month mortality of patients with hemorrhagic stroke; a diagnostic accuracy study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905424/
https://www.ncbi.nlm.nih.gov/pubmed/31875210
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