The Absence of Typical Stroke Symptoms and Risk Factors Represents the Greatest Risk of an Incorrect Diagnosis in Stroke Patients.

IF 3 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES Journal of Personalized Medicine Pub Date : 2024-09-11 DOI:10.3390/jpm14090964
Rakesh Jalali, Aleksandra Bieniecka, Marek Jankowski, Patryk Stanisław Michel, Marta Popielarczyk, Mariusz Krzysztof Majewski, Jacek Zwiernik, Joanna Maria Harazny
{"title":"The Absence of Typical Stroke Symptoms and Risk Factors Represents the Greatest Risk of an Incorrect Diagnosis in Stroke Patients.","authors":"Rakesh Jalali, Aleksandra Bieniecka, Marek Jankowski, Patryk Stanisław Michel, Marta Popielarczyk, Mariusz Krzysztof Majewski, Jacek Zwiernik, Joanna Maria Harazny","doi":"10.3390/jpm14090964","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Stroke is one of the most misdiagnosed conditions that causes serious medical disabilities. Its early and accurate diagnosis by the emergency team is crucial for the patient's survival. This study aimed to determine the percentage of brain strokes incorrectly diagnosed by paramedic teams and to analyze the factors influencing incorrect diagnoses.</p><p><strong>Methods: </strong>The data of 103 patients, mean age of 68.4 ± 14.96 years, admitted in 2019 to hospital emergency departments of the two hospitals in Olsztyn, Poland, were analyzed retrospectively. All patient data were obtained from their information cards. The parameters of the patients misdiagnosed and accurately diagnosed by paramedics were analyzed with Odds Ratio (OR) calculations using IBM SPSS version 23 software.</p><p><strong>Results: </strong>Stroke and transient ischemic attack were recognized in 77 cases (74.8%). In 26 patients (25.2%), the diagnosis made in the ambulance differed from that made in the hospital ward. The analysis of the Odds Ratio (OR) has shown that typical stroke risk factors, if present in a patient, facilitate the correct diagnosis. The greatest source of misdiagnosis of stroke by the paramedic team was the lack of hemiplegia (OR = 6.0).</p><p><strong>Conclusions: </strong>The absence of typical stroke risk factors and neurological stroke symptoms, such as smoking, hemiplegia, aphasia, hypercholesterolemia, arrhythmia, diabetes or a drooping corner of the mouth, constitutes a high risk of misdiagnosing stroke by the paramedic team.</p>","PeriodicalId":16722,"journal":{"name":"Journal of Personalized Medicine","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11433094/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Personalized Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/jpm14090964","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Stroke is one of the most misdiagnosed conditions that causes serious medical disabilities. Its early and accurate diagnosis by the emergency team is crucial for the patient's survival. This study aimed to determine the percentage of brain strokes incorrectly diagnosed by paramedic teams and to analyze the factors influencing incorrect diagnoses.

Methods: The data of 103 patients, mean age of 68.4 ± 14.96 years, admitted in 2019 to hospital emergency departments of the two hospitals in Olsztyn, Poland, were analyzed retrospectively. All patient data were obtained from their information cards. The parameters of the patients misdiagnosed and accurately diagnosed by paramedics were analyzed with Odds Ratio (OR) calculations using IBM SPSS version 23 software.

Results: Stroke and transient ischemic attack were recognized in 77 cases (74.8%). In 26 patients (25.2%), the diagnosis made in the ambulance differed from that made in the hospital ward. The analysis of the Odds Ratio (OR) has shown that typical stroke risk factors, if present in a patient, facilitate the correct diagnosis. The greatest source of misdiagnosis of stroke by the paramedic team was the lack of hemiplegia (OR = 6.0).

Conclusions: The absence of typical stroke risk factors and neurological stroke symptoms, such as smoking, hemiplegia, aphasia, hypercholesterolemia, arrhythmia, diabetes or a drooping corner of the mouth, constitutes a high risk of misdiagnosing stroke by the paramedic team.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
缺乏典型卒中症状和风险因素是卒中患者被误诊的最大风险。
背景:中风是最容易被误诊的疾病之一,会导致严重的医疗残疾。急救小组对脑卒中的早期准确诊断对患者的存活至关重要。本研究旨在确定急救小组错误诊断脑卒中的比例,并分析影响错误诊断的因素:对波兰奥尔什丁两家医院急诊科于 2019 年收治的 103 名患者(平均年龄为 68.4 ± 14.96 岁)的数据进行了回顾性分析。所有患者数据均来自其信息卡。利用IBM SPSS 23版软件,通过奥德比(OR)计算分析了被误诊和被医护人员准确诊断的患者参数:77例(74.8%)患者被确诊为中风和短暂性脑缺血发作。有 26 名患者(25.2%)在救护车上做出的诊断与在医院病房做出的诊断不同。比值比(OR)分析表明,如果患者存在典型的中风危险因素,则有助于正确诊断。辅助医疗团队误诊中风的最大原因是缺乏偏瘫(OR = 6.0):结论:缺乏典型的卒中危险因素和神经性卒中症状,如吸烟、偏瘫、失语、高胆固醇血症、心律失常、糖尿病或嘴角下垂,是辅助医疗小组误诊卒中的高风险因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Personalized Medicine
Journal of Personalized Medicine Medicine-Medicine (miscellaneous)
CiteScore
4.10
自引率
0.00%
发文量
1878
审稿时长
11 weeks
期刊介绍: Journal of Personalized Medicine (JPM; ISSN 2075-4426) is an international, open access journal aimed at bringing all aspects of personalized medicine to one platform. JPM publishes cutting edge, innovative preclinical and translational scientific research and technologies related to personalized medicine (e.g., pharmacogenomics/proteomics, systems biology). JPM recognizes that personalized medicine—the assessment of genetic, environmental and host factors that cause variability of individuals—is a challenging, transdisciplinary topic that requires discussions from a range of experts. For a comprehensive perspective of personalized medicine, JPM aims to integrate expertise from the molecular and translational sciences, therapeutics and diagnostics, as well as discussions of regulatory, social, ethical and policy aspects. We provide a forum to bring together academic and clinical researchers, biotechnology, diagnostic and pharmaceutical companies, health professionals, regulatory and ethical experts, and government and regulatory authorities.
期刊最新文献
Applications of Artificial Intelligence-Based Systems in the Management of Esophageal Varices. Clinical and Laboratory Parameters Associated with PICU Admission in Children with Multisystem Inflammatory Syndrome Associated with COVID-19 (MIS-C). Oral Care in Head and Neck Radiotherapy: Proposal for an Oral Hygiene Protocol. Sinonasal Outcomes Obtained after 2 Years of Treatment with Benralizumab in Patients with Severe Eosinophilic Asthma and CRSwNP: A "Real-Life" Observational Study. Melatonin Receptors and Serotonin: Age-Related Changes in the Ovaries.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1