Seeking predictors for paroxysmal atrial fibrillation in stroke with an online clinical database

OBJECTIVE: A considerable fraction of ischemic stroke cases remain cryptogenic and there is increasing data suggesting the role of missed paroxysmal atrial fibrillations (pAF) in at least a number of these cases. Since electrophysiological identification of pAFs can be challenging, there has been an...

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Main Author: Sefik Evren Erdener
Format: Article
Language:English
Published: KARE Publishing 2020-08-01
Series:İstanbul Kuzey Klinikleri
Subjects:
Online Access:https://jag.journalagent.com/z4/download_fulltext.asp?pdir=nci&un=NCI-91668
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spelling doaj-9724869e872643fdb16b9e4dd904e7322021-01-24T18:41:03ZengKARE Publishingİstanbul Kuzey Klinikleri2148-49022020-08-017437838510.14744/nci.2019.91668NCI-91668Seeking predictors for paroxysmal atrial fibrillation in stroke with an online clinical databaseSefik Evren Erdener0Hacettepe University, Institute of Neurological Sciences and Psychiatry, Ankara, TurkeyOBJECTIVE: A considerable fraction of ischemic stroke cases remain cryptogenic and there is increasing data suggesting the role of missed paroxysmal atrial fibrillations (pAF) in at least a number of these cases. Since electrophysiological identification of pAFs can be challenging, there has been an accumulation of proposed predictors and biomarkers for pAFs. The predictive values of these is varying and sometimes conflicting among studies. Therefore, we aimed to verify a fraction of previously reported parameters for pAF detection by investigating an independent clinical sample. METHODS: Using a publicly available data downloaded from the MIMIC-3 intensive care unit database, we tested the predictive role of particular risk factors and biomarkers for pAF detection after ischemic stroke in 124 patients with ischemic stroke admitted within 24 hours of stroke onset. RESULTS: Our evaluation revealed a strong association of older age in women, as well as admission National Institutes of Health Stroke Scale (NIHSS) and discharge modified Rankin Scores (mRS) in both sexes for pAFs, in patients that were in sinus rhythm on admission. We also detected a trend for lower gender-adjusted hemoglobin in patients with pAF, although the difference was insignificant. On the other hand, we did not find any significant association of pAF detection with some other previously reported biomarkers: serum magnesium level, leukocyte count, neutrophil/lymphocyte ratio or left atrial dilatation. CONCLUSION: Even though our analysis did not reveal a strong and specific biomarker to predict pAFs after stroke, it identified key risk factors. It may be necessary to consider the possibility of pAFs and perform rigorous evaluation to prevent further events of embolic stroke in female patients older than 75 years, with more severe neurological deficits on admission, higher disability on discharge and also with relatively lower hemoglobin level. This first study from Turkey using clinical data from the MIMIC-3 database also demonstrates the value of publicized clinical data for confirmatory studies on various medical fields across the World.https://jag.journalagent.com/z4/download_fulltext.asp?pdir=nci&un=NCI-91668clinical markersdatabase; embolism; paroxysmal atrial fibrillation; stroke.
collection DOAJ
language English
format Article
sources DOAJ
author Sefik Evren Erdener
spellingShingle Sefik Evren Erdener
Seeking predictors for paroxysmal atrial fibrillation in stroke with an online clinical database
İstanbul Kuzey Klinikleri
clinical markers
database; embolism; paroxysmal atrial fibrillation; stroke.
author_facet Sefik Evren Erdener
author_sort Sefik Evren Erdener
title Seeking predictors for paroxysmal atrial fibrillation in stroke with an online clinical database
title_short Seeking predictors for paroxysmal atrial fibrillation in stroke with an online clinical database
title_full Seeking predictors for paroxysmal atrial fibrillation in stroke with an online clinical database
title_fullStr Seeking predictors for paroxysmal atrial fibrillation in stroke with an online clinical database
title_full_unstemmed Seeking predictors for paroxysmal atrial fibrillation in stroke with an online clinical database
title_sort seeking predictors for paroxysmal atrial fibrillation in stroke with an online clinical database
publisher KARE Publishing
series İstanbul Kuzey Klinikleri
issn 2148-4902
publishDate 2020-08-01
description OBJECTIVE: A considerable fraction of ischemic stroke cases remain cryptogenic and there is increasing data suggesting the role of missed paroxysmal atrial fibrillations (pAF) in at least a number of these cases. Since electrophysiological identification of pAFs can be challenging, there has been an accumulation of proposed predictors and biomarkers for pAFs. The predictive values of these is varying and sometimes conflicting among studies. Therefore, we aimed to verify a fraction of previously reported parameters for pAF detection by investigating an independent clinical sample. METHODS: Using a publicly available data downloaded from the MIMIC-3 intensive care unit database, we tested the predictive role of particular risk factors and biomarkers for pAF detection after ischemic stroke in 124 patients with ischemic stroke admitted within 24 hours of stroke onset. RESULTS: Our evaluation revealed a strong association of older age in women, as well as admission National Institutes of Health Stroke Scale (NIHSS) and discharge modified Rankin Scores (mRS) in both sexes for pAFs, in patients that were in sinus rhythm on admission. We also detected a trend for lower gender-adjusted hemoglobin in patients with pAF, although the difference was insignificant. On the other hand, we did not find any significant association of pAF detection with some other previously reported biomarkers: serum magnesium level, leukocyte count, neutrophil/lymphocyte ratio or left atrial dilatation. CONCLUSION: Even though our analysis did not reveal a strong and specific biomarker to predict pAFs after stroke, it identified key risk factors. It may be necessary to consider the possibility of pAFs and perform rigorous evaluation to prevent further events of embolic stroke in female patients older than 75 years, with more severe neurological deficits on admission, higher disability on discharge and also with relatively lower hemoglobin level. This first study from Turkey using clinical data from the MIMIC-3 database also demonstrates the value of publicized clinical data for confirmatory studies on various medical fields across the World.
topic clinical markers
database; embolism; paroxysmal atrial fibrillation; stroke.
url https://jag.journalagent.com/z4/download_fulltext.asp?pdir=nci&un=NCI-91668
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