کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
2652358 1139630 2015 8 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله ISI
Symptom clusters in patients presenting to the emergency department with possible acute coronary syndrome differ by sex, age, and discharge diagnosis
ترجمه فارسی عنوان
خوشه های علائم در بیماران ارجاع شده به بخش اورژانس با سندرم حاد کرونر ممکن است با تشخیص جنسیت، سن و تخلیه متفاوت باشد
کلمات کلیدی
خوشه های علائم؛ تجزیه و تحلیل کلاس خاموش؛ سندرم حاد کرونری؛ سن؛ ارتباط جنسی؛ مسابقه؛ تشخیص ACS، سندرم حاد کرونر؛ AIC
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی کاردیولوژی و پزشکی قلب و عروق
چکیده انگلیسی

ObjectivesTo identify classes of individuals presenting to the ED for suspected ACS who shared similar symptoms and clinical characteristics.BackgroundDescribing symptom clusters in undiagnosed patients with suspected ACS is a novel and clinically relevant approach, reflecting real-world emergency department evaluation procedures.MethodsSymptoms were measured using a validated 13-item symptom checklist. Latent class analysis was used to describe symptom clusters.ResultsThe sample of 874 was 37% female with a mean age of 59.9 years. Four symptom classes were identified: Heavy Symptom Burden (Class 1), Chest Symptoms and Shortness of Breath (Class 2), Chest Symptoms Only (Class 3), and Weary (Class 4). Patients with ACS were more likely to cluster in Classes 2 and 3. Women and younger patients were more likely to group in Class 1.ConclusionsFurther research is needed to determine the value of symptom clusters in the ED triage and management of suspected ACS.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Heart & Lung: The Journal of Acute and Critical Care - Volume 44, Issue 5, September–October 2015, Pages 368–375
نویسندگان
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