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  1. Article: The Primary Outcomes and Epidemiological and Clinical Features of Coronavirus Disease 2019 (COVID-19) in Iran.

    Vahedian-Azimi, Amir / Ashtari, Sara / Alishiri, Gholamhosein / Shahriary, Alireza / Saberi, Mohsen / Rahimi-Bashar, Farshid / Panahi, Yunes / Samadinia, Hossein / Ferdosi, Mojtaba / Jafari, Iman / Vahedi, Ensieh / Ghazvini, Ali / Nikpouraghdam, Mohamad / Goharimoghadam, Keivan / Izadi, Morteza / Jonaidi-Jafari, Nematollah / Shojaee, Sajad / Aghdaei, Hamid Asadzadeh / Pourhoseingholi, Mohamad Amin /
    Sahebkar, Amirhossein

    Advances in experimental medicine and biology

    2021  Volume 1321, Page(s) 199–210

    Abstract: Aim: We aimed to describe the epidemiological and clinical characteristics of Iranian patients with COVID-19.: Methods: In this single-center and retrospective study, patients with confirmed COVID-19 infections were enrolled. Univariate and ... ...

    Abstract Aim: We aimed to describe the epidemiological and clinical characteristics of Iranian patients with COVID-19.
    Methods: In this single-center and retrospective study, patients with confirmed COVID-19 infections were enrolled. Univariate and multivariate logistic regression methods were used to explore the risk factors associated with outcomes.
    Results: Of 179 patients with confirmed COVID-19 infection, 12 remained hospitalized at the end of the study and 167 were included in the final analysis. Of these, 153 (91.6%) were discharged and 14 (8.38%) died in hospital. Approximately half (50.9%) of patients suffered from a comorbidity, with diabetes or coronary heart disease being the most common in 20 patients. The most common symptoms on admission were fever, dyspnea, and cough. The mean durations from first symptoms to hospital admission was 8.64 ± 4.14 days, whereas the mean hospitalization time to discharge or death was 5.19 ± 2.42 and 4.35 ± 2.70 days, respectively. There was a significantly higher age in non-survivor patients compared with survivor patients. Multivariate regression showed increasing odds ratio (OR) of in-hospital death associated with respiratory rates >20 breaths/min (OR: 5.14, 95% CI: 1.19-22.15, p = 0.028) and blood urea nitrogen (BUN) >19 mg/dL (OR: 4.54, 95% CI: 1.30-15.85, p = 0.017) on admission. In addition, higher respiratory rate was associated with continuous fever (OR: 4.08, 95% CI: 1.18-14.08, p = 0.026) and other clinical symptoms (OR: 3.52, 95% CI: 1.05-11.87, p = 0.04).
    Conclusion: The potential risk factors including high respiratory rate and BUN levels could help to identify COVID-19 patients with poor prognosis at an early stage in the Iranian population.
    MeSH term(s) COVID-19 ; Comorbidity ; Hospitalization ; Humans ; Iran/epidemiology ; Retrospective Studies ; Risk Factors ; SARS-CoV-2
    Language English
    Publishing date 2021-03-03
    Publishing country United States
    Document type Journal Article
    ISSN 2214-8019 ; 0065-2598
    ISSN (online) 2214-8019
    ISSN 0065-2598
    DOI 10.1007/978-3-030-59261-5_17
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Epidemiological characteristics of coronavirus disease 2019 (COVID-19) patients in IRAN: A single center study.

    Nikpouraghdam, Mohamad / Jalali Farahani, Alireza / Alishiri, GholamHossein / Heydari, Soleyman / Ebrahimnia, Mehdi / Samadinia, Hossein / Sepandi, Mojtaba / Jafari, Nematollah Jonaidi / Izadi, Morteza / Qazvini, Ali / Dorostkar, Ruhollah / Tat, Mahdi / Shahriary, Alireza / Farnoosh, Gholamreza / Hosseini Zijoud, Seyed Reza / Taghdir, Maryam / Alimohamadi, Yousef / Abbaszadeh, Sepideh / Gouvarchin Ghaleh, Hadi Esmaeili /
    Bagheri, Mahdi

    Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology

    2020  Volume 127, Page(s) 104378

    Abstract: Background: An outbreak of COVID-19 in Iran has spread throughout the country. Identifying the epidemiological characteristics of this disease will help to make appropriate decisions and thus control the epidemic. The aim of this study was ... ...

    Abstract Background: An outbreak of COVID-19 in Iran has spread throughout the country. Identifying the epidemiological characteristics of this disease will help to make appropriate decisions and thus control the epidemic. The aim of this study was characterization of the epidemiological features of COVID-19 in Iran.
    Methods: In this retrospective study, data related to the epidemiological characteristics of COVID-19 patients admitted to Baqiyatallah Hospital in Tehran, Iran, from 19 February 2020 to 15 April 2020 have been analyzed and reported. Patient characteristics including age, gender and underlying diseases were investigated. Data were collected through patient records. Sex ratio, Case Fatality Rate (CFR) and daily trend of cases were also determined. A multiple logistic regression analysis was also performed to assess affecting factors on mortality.
    Results: From February 19, 2020 to April 15, 2020, 12870 patients referred to the hospital emergency department, of which 2968 were hospitalized with COVID-19 diagnosis. The majority of cases were in the age group of 50 to 60 years of old. The male-to-female ratio was 1.93:1. A total of 239 deaths occurred among all cases for an overall CFR of 1.85% based on the total number of patients (both outpatient and inpatient) and 8.06% among hospitalized patients. Out of all patients 10.89% had comorbidity. Diabetes, chronic respiratory diseases, hypertension, cardiovascular diseases, chronic Kidney diseases and cancer were the most common comorbidities with 3.81, 2.02 , 1.99 , 1.25, 0.60 and 0.57 %, respectively. Male gender (OR=1.45, 95% CI: 1.08-1.96), older age (OR=1.05, 95% CI: 1.04-1.06) and having underlying diseases (OR=1.53, 95% CI: 1.04-2.24) were significantly associated with mortality.
    Conclusions: The results of this study showed that Male gender, older age and having comorbidities were significantly associated with the risk of death among COVID-19 patients. It is important to pay special attention to male elderly patients with underlying diseases.
    MeSH term(s) Adolescent ; Adult ; Age Factors ; Aged ; Aged, 80 and over ; Betacoronavirus ; COVID-19 ; Child ; Child, Preschool ; Comorbidity ; Coronavirus Infections/epidemiology ; Coronavirus Infections/mortality ; Female ; Hospitalization/statistics & numerical data ; Humans ; Infant ; Infant, Newborn ; Iran/epidemiology ; Logistic Models ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/mortality ; Retrospective Studies ; Risk Factors ; SARS-CoV-2 ; Sex Factors ; Young Adult
    Keywords covid19
    Language English
    Publishing date 2020-04-21
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1446080-4
    ISSN 1873-5967 ; 1386-6532
    ISSN (online) 1873-5967
    ISSN 1386-6532
    DOI 10.1016/j.jcv.2020.104378
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Epidemiological Characteristics of Coronavirus Disease 2019 (COVID-19) Patients in IRAN: A single Center Study

    Nikpouraghdam, Mohamad / Farahani, Alireza Jalali / Alishiri, GholamHossein / Heydari, Soleyman / Ebrahimnia, Mehdi / Samadinia, Hossein / Sepandi, Mojtaba / Jafari, Nematollah Jonaidi / Izadi, MortezaIzadi / Qazvini, Ali / Dorostkar, Ruhollah / Tat, Mahdi / Shahriary, Alireza / Farnoosh, Gholamreza / Hosseini Zijoud, Seyed Reza / Taghdir, Maryam / Alimohamadi, Yousef / Abbaszadeh, Sepideh / Ghale, Hadi Esmaeili Gouvarchin /
    Bagheri, Mahdi

    Journal of Clinical Virology

    Keywords covid19
    Publisher Elsevier
    Document type Article ; Online
    DOI 10.1016/j.jcv.2020.104378
    Database COVID19

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  4. Article ; Online: Epidemiological characteristics of coronavirus disease 2019 (COVID-19) patients in IRAN

    Nikpouraghdam, Mohamad / Jalali Farahani, Alireza / Alishiri, GholamHossein / Heydari, Soleyman / Ebrahimnia, Mehdi / Samadinia, Hossein / Sepandi, Mojtaba / Jafari, Nematollah Jonaidi / Izadi, Morteza / Qazvini, Ali / Dorostkar, Ruhollah / Tat, Mahdi / Shahriary, Alireza / Farnoosh, Gholamreza / Hosseini Zijoud, Seyed Reza / Taghdir, Maryam / Alimohamadi, Yousef / Abbaszadeh, Sepideh / Gouvarchin Ghaleh, Hadi Esmaeili /
    Bagheri, Mahdi

    Journal of Clinical Virology

    A single center study

    2020  Volume 127, Page(s) 104378

    Keywords Virology ; Infectious Diseases ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 1446080-4
    ISSN 1873-5967 ; 1386-6532
    ISSN (online) 1873-5967
    ISSN 1386-6532
    DOI 10.1016/j.jcv.2020.104378
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Clinical efficacy of convalescent plasma for treatment of COVID-19 infections: Results of a multicenter clinical study.

    Abolghasemi, Hassan / Eshghi, Peyman / Cheraghali, Abdol Majid / Imani Fooladi, Abbas Ali / Bolouki Moghaddam, Farzaneh / Imanizadeh, Sina / Moeini Maleki, Matin / Ranjkesh, Mohammad / Rezapour, Mohammad / Bahramifar, Ali / Einollahi, Behzad / Hosseini, Mohammad Javad / Jafari, Nematollah Joneidi / Nikpouraghdam, Mohamad / Sadri, Nariman / Tazik, Mokhtar / Sali, Shanaz / Okati, Shamsi / Askari, Elham /
    Tabarsi, Payam / Aslani, Jafar / Sharifipour, Ehsan / Jarahzadeh, Mohammad Hossein / Khodakarim, Nastaran / Salesi, Mahmood / Jafari, Ramezan / Shahverdi, Samira

    Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis

    2020  Volume 59, Issue 5, Page(s) 102875

    Abstract: Since Dec. 2019 the new coronavirus (SARS-CoV-2) has infected millions and claimed life of several hundred thousand worldwide. However, so far no approved vaccine or drug therapy is available for treatment of virus infection. Convalescent plasma has been ...

    Abstract Since Dec. 2019 the new coronavirus (SARS-CoV-2) has infected millions and claimed life of several hundred thousand worldwide. However, so far no approved vaccine or drug therapy is available for treatment of virus infection. Convalescent plasma has been considered a potential modality for COVID-19 infection. One hundred eighty-nine COVID-19 positive patients including 115 patients in plasma therapy group and 74 patients in control group, registered in the hospitals with confirmed COVID-19 infection, entered this multi-center clinical study. Comparison of outcomes including all-cause mortality, total hospitalization days and patients' need for intubation between the two patient groups shows that total of 98 (98.2 %) of patients who received convalescent plasma were discharged from hospital which is substantially higher compared to 56 (78.7 %) patients in control group. Length of hospitalization days was significantly lower (9.54 days) in convalescent plasma group compared with that of control group (12.88 days). Only 8 patients (7%) in convalescent plasma group required intubation while that was 20 % in control group. This clinical study provides strong evidence to support the efficacy of convalescent plasma therapy in COVID-19 patients and recommends this treatment for management of these patients. Clinical efficacy, immediate availability and potential cost effectiveness could be considered as main advantages of convalescent plasma therapy.
    MeSH term(s) Adult ; Aged ; Aged, 80 and over ; COVID-19/immunology ; COVID-19/therapy ; Female ; Humans ; Immunization, Passive/adverse effects ; Male ; Middle Aged ; SARS-CoV-2/immunology ; SARS-CoV-2/physiology ; Treatment Outcome ; Young Adult ; COVID-19 Serotherapy
    Keywords covid19
    Language English
    Publishing date 2020-07-15
    Publishing country England
    Document type Clinical Trial ; Journal Article ; Multicenter Study
    ZDB-ID 2046795-3
    ISSN 1878-1683 ; 1473-0502
    ISSN (online) 1878-1683
    ISSN 1473-0502
    DOI 10.1016/j.transci.2020.102875
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Epidemiological characteristics of coronavirus disease 2019 (COVID-19) patients in IRAN: A single center study

    Nikpouraghdam, Mohamad / Jalali Farahani, Alireza / Alishiri, GholamHossein / Heydari, Soleyman / Ebrahimnia, Mehdi / Samadinia, Hossein / Sepandi, Mojtaba / Jafari, Nematollah Jonaidi / Izadi, Morteza / Qazvini, Ali / Dorostkar, Ruhollah / Tat, Mahdi / Shahriary, Alireza / Farnoosh, Gholamreza / Hosseini Zijoud, Seyed Reza / Taghdir, Maryam / Alimohamadi, Yousef / Abbaszadeh, Sepideh / Gouvarchin Ghaleh, Hadi Esmaeili /
    Bagheri, Mahdi

    J Clin Virol

    Abstract: BACKGROUND: An outbreak of COVID-19 in Iran has spread throughout the country. Identifying the epidemiological characteristics of this disease will help to make appropriate decisions and thus control the epidemic. The aim of this study was ... ...

    Abstract BACKGROUND: An outbreak of COVID-19 in Iran has spread throughout the country. Identifying the epidemiological characteristics of this disease will help to make appropriate decisions and thus control the epidemic. The aim of this study was characterization of the epidemiological features of COVID-19 in Iran. METHODS: In this retrospective study, data related to the epidemiological characteristics of COVID-19 patients admitted to Baqiyatallah Hospital in Tehran, Iran, from 19 February 2020 to 15 April 2020 have been analyzed and reported. Patient characteristics including age, gender and underlying diseases were investigated. Data were collected through patient records. Sex ratio, Case Fatality Rate (CFR) and daily trend of cases were also determined. A multiple logistic regression analysis was also performed to assess affecting factors on mortality. RESULTS: From February 19, 2020 to April 15, 2020, 12870 patients referred to the hospital emergency department, of which 2968 were hospitalized with COVID-19 diagnosis. The majority of cases were in the age group of 50 to 60 years of old. The male-to-female ratio was 1.93:1. A total of 239 deaths occurred among all cases for an overall CFR of 1.85% based on the total number of patients (both outpatient and inpatient) and 8.06% among hospitalized patients. Out of all patients 10.89% had comorbidity. Diabetes, chronic respiratory diseases, hypertension, cardiovascular diseases, chronic Kidney diseases and cancer were the most common comorbidities with 3.81, 2.02 , 1.99 , 1.25, 0.60 and 0.57 %, respectively. Male gender (OR=1.45, 95% CI: 1.08-1.96), older age (OR=1.05, 95% CI: 1.04-1.06) and having underlying diseases (OR=1.53, 95% CI: 1.04-2.24) were significantly associated with mortality. CONCLUSIONS: The results of this study showed that Male gender, older age and having comorbidities were significantly associated with the risk of death among COVID-19 patients. It is important to pay special attention to male elderly patients with underlying diseases.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #153917
    Database COVID19

    Kategorien

  7. Article ; Online: Epidemiological characteristics of coronavirus disease 2019 (COVID-19) patients in IRAN

    Nikpouraghdam, Mohamad / Jalali Farahani, Alireza / Alishiri, GholamHossein / Heydari, Soleyman / Ebrahimnia, Mehdi / Samadinia, Hossein / Sepandi, Mojtaba / Jafari, Nematollah Jonaidi / Izadi, Morteza / Qazvini, Ali / Dorostkar, Ruhollah / Tat, Mahdi / Shahriary, Alireza / Farnoosh, Gholamreza / Hosseini Zijoud, Seyed Reza / Taghdir, Maryam / Alimohamadi, Yousef / Abbaszadeh, Sepideh / Gouvarchin Ghaleh, Hadi Esmaeili /
    Bagheri, Mahdi

    A single center study.

    2020  

    Abstract: BACKGROUND:An outbreak of COVID-19 in Iran has spread throughout the country. Identifying the epidemiological characteristics of this disease will help to make appropriate decisions and thus control the epidemic. The aim of this study was ... ...

    Abstract BACKGROUND:An outbreak of COVID-19 in Iran has spread throughout the country. Identifying the epidemiological characteristics of this disease will help to make appropriate decisions and thus control the epidemic. The aim of this study was characterization of the epidemiological features of COVID-19 in Iran. METHODS:In this retrospective study, data related to the epidemiological characteristics of COVID-19 patients admitted to Baqiyatallah Hospital in Tehran, Iran, from 19 February 2020 to 15 April 2020 have been analyzed and reported. Patient characteristics including age, gender and underlying diseases were investigated. Data were collected through patient records. Sex ratio, Case Fatality Rate (CFR) and daily trend of cases were also determined. A multiple logistic regression analysis was also performed to assess affecting factors on mortality. RESULTS:From February 19, 2020 to April 15, 2020, 12870 patients referred to the hospital emergency department, of which 2968 were hospitalized with COVID-19 diagnosis. The majority of cases were in the age group of 50 to 60 years of old. The male-to-female ratio was 1.93:1. A total of 239 deaths occurred among all cases for an overall CFR of 1.85% based on the total number of patients (both outpatient and inpatient) and 8.06% among hospitalized patients. Out of all patients 10.89% had comorbidity. Diabetes, chronic respiratory diseases, hypertension, cardiovascular diseases, chronic Kidney diseases and cancer were the most common comorbidities with 3.81, 2.02 , 1.99 , 1.25, 0.60 and 0.57 %, respectively. Male gender (OR=1.45, 95% CI: 1.08-1.96), older age (OR=1.05, 95% CI: 1.04-1.06) and having underlying diseases (OR=1.53, 95% CI: 1.04-2.24) were significantly associated with mortality. CONCLUSIONS:The results of this study showed that Male gender, older age and having comorbidities were significantly associated with the risk of death among COVID-19 patients. It is important to pay special attention to male elderly patients with underlying diseases.
    Keywords Humans ; Pneumonia ; Viral ; Coronavirus Infections ; Hospitalization ; Logistic Models ; Risk Factors ; Retrospective Studies ; Age Factors ; Comorbidity ; Sex Factors ; Adolescent ; Adult ; Aged ; 80 and over ; Middle Aged ; Child ; Preschool ; Infant ; Newborn ; Iran ; Female ; Male ; Young Adult ; Pandemics ; Betacoronavirus ; COVID-19 ; Case Fatality Rate ; Epidemiology ; SARS-CoV-2 ; and over ; Virology ; Microbiology ; Clinical Sciences ; Medical Microbiology ; covid19
    Subject code 610
    Publishing date 2020-06-01
    Publisher eScholarship, University of California
    Publishing country us
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Clinical efficacy of convalescent plasma for treatment of COVID-19 infections

    Abolghasemi, Hassan / Eshghi, Peyman / Cheraghali, Abdol Majid / Imani Fooladi, Abbas Ali / Bolouki Moghaddam, Farzaneh / Imanizadeh, Sina / Moeini Maleki, Matin / Ranjkesh, Mohammad / Rezapour, Mohammad / Bahramifar, Ali / Einollahi, Behzad / Hosseini, Mohammad Javad / Jafari, Nematollah Joneidi / Nikpouraghdam, Mohamad / Sadri, Nariman / Tazik, Mokhtar / Sali, Shanaz / Okati, Shamsi / Askari, Elham /
    Tabarsi, Payam / Aslani, Jafar / Sharifipour, Ehsan / Jarahzadeh, Mohammad Hossein / Khodakarim, Nastaran / Salesi, Mahmood / Jafari, Ramezan / Shahverdi, Samira

    Transfusion and Apheresis Science

    Results of a multicenter clinical study

    2020  , Page(s) 102875

    Keywords Hematology ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2046795-3
    ISSN 1878-1683 ; 1473-0502
    ISSN (online) 1878-1683
    ISSN 1473-0502
    DOI 10.1016/j.transci.2020.102875
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: Clinical efficacy of convalescent plasma for treatment of COVID-19 infections: Results of a multicenter clinical study

    Abolghasemi, Hassan / Eshghi, Peyman / Cheraghali, Abdol Majid / Imani Fooladi, Abbas Ali / Bolouki Moghaddam, Farzaneh / Imanizadeh, Sina / Moeini Maleki, Matin / Ranjkesh, Mohammad / Rezapour, Mohammad / Bahramifar, Ali / Einollahi, Behzad / Hosseini, Mohammad Javad / Jafari, Nematollah Joneidi / Nikpouraghdam, Mohamad / Sadri, Nariman / Tazik, Mokhtar / Sali, Shanaz / Okati, Shamsi / Askari, Elham /
    Tabarsi, Payam / Aslani, Jafar / Sharifipour, Ehsan / Jarahzadeh, Mohammad Hossein / Khodakarim, Nastaran / Salesi, Mahmood / Jafari, Ramezan / Shahverdi, Samira

    Transfus Apher Sci

    Abstract: Since Dec. 2019 the new coronavirus (SARS-CoV-2) has infected millions and claimed life of several hundred thousand worldwide. However, so far no approved vaccine or drug therapy is available for treatment of virus infection. Convalescent plasma has been ...

    Abstract Since Dec. 2019 the new coronavirus (SARS-CoV-2) has infected millions and claimed life of several hundred thousand worldwide. However, so far no approved vaccine or drug therapy is available for treatment of virus infection. Convalescent plasma has been considered a potential modality for COVID-19 infection. One hundred eighty-nine COVID-19 positive patients including 115 patients in plasma therapy group and 74 patients in control group, registered in the hospitals with confirmed COVID-19 infection, entered this multi-center clinical study. Comparison of outcomes including all-cause mortality, total hospitalization days and patients' need for intubation between the two patient groups shows that total of 98 (98.2 %) of patients who received convalescent plasma were discharged from hospital which is substantially higher compared to 56 (78.7 %) patients in control group. Length of hospitalization days was significantly lower (9.54 days) in convalescent plasma group compared with that of control group (12.88 days). Only 8 patients (7%) in convalescent plasma group required intubation while that was 20 % in control group. This clinical study provides strong evidence to support the efficacy of convalescent plasma therapy in COVID-19 patients and recommends this treatment for management of these patients. Clinical efficacy, immediate availability and potential cost effectiveness could be considered as main advantages of convalescent plasma therapy.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #650881
    Database COVID19

    Kategorien

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