|
|
Journal of Research in Health Sciences، جلد ۲۱، شماره ۱، صفحات ۰-۰
|
|
|
| عنوان فارسی |
|
|
| چکیده فارسی مقاله |
|
|
| کلیدواژه‌های فارسی مقاله |
|
|
| عنوان انگلیسی |
Epidemiological patterns of syndromic symptoms in suspected patients with COVID-19 in Iran: A Latent Class Analysis |
|
| چکیده انگلیسی مقاله |
Background: Early diagnosis and supportive treatments are essential to patients with coronavirus disease 2019 (COVID-19). Therefore, the current study aimed to determine different patterns of syndromic symptoms and sensitivity and specificity of each of them in the diagnosis of COVID-19 in suspected patients. Study Design: Cross-sectional study Methods: In this study, the retrospective data of 1,539 patients suspected of COVID-19 were obtained from a local registry under the supervision of the officials at Shahroud University of Medical Sciences, Shahroud, Iran. A Latent Class Analysis (LCA) was carried out on syndromic symptoms, and the associations of some risk factors and latent subclasses were accessed using one-way analysis of variance and Chi-square test. Results: The LCA indicated that there were three distinct subclasses of syndromic symptoms among the COVID-19 suspected patients. The age, former smoking status, and body mass index were associated with the categorization of individuals into different subclasses. In addition, the sensitivity and specificity of class 2 (labeled as “High probability of polymerase chain reaction [PCR] + ”) in the diagnosis of COVID-19 were 67.43% and 76.17%, respectively. Furthermore, the sensitivity and specificity of class 3 (labeled as “Moderate probability of PCR + ”) in the diagnosis of COVID-19 were 75.92% and 50.23%, respectively. Conclusions: The findings of the present study showed that syndromic symptoms, such as dry cough, dyspnea, myalgia, fatigue, and anorexia, might be helpful in the diagnosis of suspected COVID-19 patients. |
|
| کلیدواژه‌های انگلیسی مقاله |
COVID-19,Latent Class Analysis,Epidemiological pattern,Diagnosis |
|
| نویسندگان مقاله |
| Ali Hosseinzadeh
| Maysam Rezapour
| Marzie Rohani-Rasaf
| Mohammad Hassan Emamian
| Solmaz Talebi
| Shahrbanoo Goli
| Reza Chaman
| Hossein Sheibani
| Ehsan Binesh
| Fariba Zare
| Ahmad Khosravi
|
|
| نشانی اینترنتی |
http://jrhs.umsha.ac.ir/index.php/JRHS/article/view/6262 |
| فایل مقاله |
فایلی برای مقاله ذخیره نشده است |
| کد مقاله (doi) |
10.34172/jrhs.v0i0.6262 |
| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
|
| نوع مقاله منتشر شده |
Original Articles |
|
|
|
برگشت به:
صفحه اول پایگاه |
نسخه مرتبط |
نشریه مرتبط |
فهرست نشریات
|