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Epidemiological patterns of syndromic symptoms in suspected patients with COVID-19 in Iran: A Latent Class Analysis.
Hosseinzadeh, Ali; Rezapour, Maysam; Rohani-Rasaf, Marzie; Emamian, Mohammad Hassan; Talebi, Solmaz; Goli, Shahrbanoo; Chaman, Reza; Sheibani, Hossein; Binesh, Ehsan; Zare, Fariba; Khosravi, Ahmad.
  • Hosseinzadeh A; Department of Epidemiology, School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran.
  • Rezapour M; Amol Faculty of Paramedical Sciences, Mazandaran University of Medical Sciences, Sari, Iran.
  • Rohani-Rasaf M; Department of Epidemiology, School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran.
  • Emamian MH; Ophthalmic Epidemiology Research Center, Shahroud University of Medical Sciences, Shahroud, Iran.
  • Talebi S; Department of Epidemiology, School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran.
  • Goli S; Department of Epidemiology, School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran.
  • Chaman R; Department of Epidemiology, School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran.
  • Sheibani H; Clinical Research Development Unit, Imam Hossein Hospital, Shahroud University of Medical Sciences, Shahroud, Iran.
  • Binesh E; Clinical Research Development Unit, Imam Hossein Hospital, Shahroud University of Medical Sciences, Shahroud, Iran.
  • Zare F; Center for Health-Related Social and Behavioral Sciences Research, Shahroud University of Medical Sciences, Shahroud, Iran.
  • Khosravi A; Department of Epidemiology, School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran. khosravi2000us@yahoo.com.
J Res Health Sci ; 21(1): e00508, 2021 Jan 18.
Article in English | MEDLINE | ID: covidwho-1159740
ABSTRACT

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.

CONCLUSION:

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Symptom Assessment / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: J Res Health Sci Year: 2021 Document Type: Article Affiliation country: Jrhs.2021.41

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Symptom Assessment / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: J Res Health Sci Year: 2021 Document Type: Article Affiliation country: Jrhs.2021.41