Caroliny Trevisan Teixeira, Vanessa Rizelio, Alexandre Robles, Levi Coelho Maia Barros, Gisele Sampaio Silva, João Brainer Clares de Andrade
{"title":"脑卒中后患者心房颤动的预测评分。","authors":"Caroliny Trevisan Teixeira, Vanessa Rizelio, Alexandre Robles, Levi Coelho Maia Barros, Gisele Sampaio Silva, João Brainer Clares de Andrade","doi":"10.1055/s-0044-1788271","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong> Atrial fibrillation (AF) is a risk factor for cerebral ischemia. Identifying the presence of AF, especially in paroxysmal cases, may take time and lacks clear support in the literature regarding the optimal investigative approach; in resource-limited settings, identifying a higher-risk group for AF can assist in planning further investigation.</p><p><strong>Objective: </strong> To develop a scoring tool to predict the risk of incident AF in the poststroke follow-up.</p><p><strong>Methods: </strong> A retrospective longitudinal study with data collected from electronic medical records of patients hospitalized and followed up for cerebral ischemia from 2014 to 2021 at a tertiary stroke center. Demographic, clinical, laboratory, electrocardiogram, and echocardiogram data, as well as neuroimaging data, were collected. Stepwise logistic regression was employed to identify associated variables. A score with integer numbers was created based on beta coefficients. Calibration and validation were performed to evaluate accuracy.</p><p><strong>Results: </strong> We included 872 patients in the final analysis. The score was created with left atrial diameter ≥ 42 mm (2 points), age ≥ 70 years (1 point), presence of septal aneurysm (2 points), and score ≥ 6 points at admission on the National Institutes of Health Stroke Scale (NIHSS; 1 point). The score ranges from 0 to 6. Patients with a score ≥ 2 points had a fivefold increased risk of having AF detected in the follow-up. The area under the curve (AUC) was of 0.77 (0.72-0.85).</p><p><strong>Conclusion: </strong> We were able structure an accurate risk score tool for incident AF, which could be validated in multicenter samples in future studies.</p>","PeriodicalId":8694,"journal":{"name":"Arquivos de neuro-psiquiatria","volume":"82 10","pages":"1-8"},"PeriodicalIF":1.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11500279/pdf/","citationCount":"0","resultStr":"{\"title\":\"A predictive score for atrial fibrillation in poststroke patients.\",\"authors\":\"Caroliny Trevisan Teixeira, Vanessa Rizelio, Alexandre Robles, Levi Coelho Maia Barros, Gisele Sampaio Silva, João Brainer Clares de Andrade\",\"doi\":\"10.1055/s-0044-1788271\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong> Atrial fibrillation (AF) is a risk factor for cerebral ischemia. Identifying the presence of AF, especially in paroxysmal cases, may take time and lacks clear support in the literature regarding the optimal investigative approach; in resource-limited settings, identifying a higher-risk group for AF can assist in planning further investigation.</p><p><strong>Objective: </strong> To develop a scoring tool to predict the risk of incident AF in the poststroke follow-up.</p><p><strong>Methods: </strong> A retrospective longitudinal study with data collected from electronic medical records of patients hospitalized and followed up for cerebral ischemia from 2014 to 2021 at a tertiary stroke center. Demographic, clinical, laboratory, electrocardiogram, and echocardiogram data, as well as neuroimaging data, were collected. Stepwise logistic regression was employed to identify associated variables. A score with integer numbers was created based on beta coefficients. Calibration and validation were performed to evaluate accuracy.</p><p><strong>Results: </strong> We included 872 patients in the final analysis. The score was created with left atrial diameter ≥ 42 mm (2 points), age ≥ 70 years (1 point), presence of septal aneurysm (2 points), and score ≥ 6 points at admission on the National Institutes of Health Stroke Scale (NIHSS; 1 point). The score ranges from 0 to 6. Patients with a score ≥ 2 points had a fivefold increased risk of having AF detected in the follow-up. The area under the curve (AUC) was of 0.77 (0.72-0.85).</p><p><strong>Conclusion: </strong> We were able structure an accurate risk score tool for incident AF, which could be validated in multicenter samples in future studies.</p>\",\"PeriodicalId\":8694,\"journal\":{\"name\":\"Arquivos de neuro-psiquiatria\",\"volume\":\"82 10\",\"pages\":\"1-8\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11500279/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Arquivos de neuro-psiquiatria\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1055/s-0044-1788271\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/8/15 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Arquivos de neuro-psiquiatria","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/s-0044-1788271","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/15 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
A predictive score for atrial fibrillation in poststroke patients.
Background: Atrial fibrillation (AF) is a risk factor for cerebral ischemia. Identifying the presence of AF, especially in paroxysmal cases, may take time and lacks clear support in the literature regarding the optimal investigative approach; in resource-limited settings, identifying a higher-risk group for AF can assist in planning further investigation.
Objective: To develop a scoring tool to predict the risk of incident AF in the poststroke follow-up.
Methods: A retrospective longitudinal study with data collected from electronic medical records of patients hospitalized and followed up for cerebral ischemia from 2014 to 2021 at a tertiary stroke center. Demographic, clinical, laboratory, electrocardiogram, and echocardiogram data, as well as neuroimaging data, were collected. Stepwise logistic regression was employed to identify associated variables. A score with integer numbers was created based on beta coefficients. Calibration and validation were performed to evaluate accuracy.
Results: We included 872 patients in the final analysis. The score was created with left atrial diameter ≥ 42 mm (2 points), age ≥ 70 years (1 point), presence of septal aneurysm (2 points), and score ≥ 6 points at admission on the National Institutes of Health Stroke Scale (NIHSS; 1 point). The score ranges from 0 to 6. Patients with a score ≥ 2 points had a fivefold increased risk of having AF detected in the follow-up. The area under the curve (AUC) was of 0.77 (0.72-0.85).
Conclusion: We were able structure an accurate risk score tool for incident AF, which could be validated in multicenter samples in future studies.
期刊介绍:
Arquivos de Neuro-Psiquiatria is the official journal of the Brazilian Academy of Neurology. The mission of the journal is to provide neurologists, specialists and researchers in Neurology and related fields with open access to original articles (clinical and translational research), editorials, reviews, historical papers, neuroimages and letters about published manuscripts. It also publishes the consensus and guidelines on Neurology, as well as educational and scientific material from the different scientific departments of the Brazilian Academy of Neurology.
The ultimate goals of the journal are to contribute to advance knowledge in the areas of Neurology and Neuroscience, and to provide valuable material for training and continuing education for neurologists and other health professionals working in the area. These goals might contribute to improving care for patients with neurological diseases. We aim to be the best Neuroscience journal in Latin America within the peer review system.