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Background: The current study was carried out to analyze the clinical, laboratory, and computed tomography (CT) findings obtained from both groups of patients, i.e., those who died or recovered from coronavirus disease 2019 (COVID-19). Methods: This cross-sectional multicenter study was conducted on 71 adult patients with COVID-19 who had been discharged or died. Demographic, clinical, laboratory, and CT features were obtained from electronic medical records and compared between deceased and survived patients. Results: Seventy-one patients (40 men, 31 women, 23–98 years) were included in the study. The mean age of deceased patients (70.77±17.36 years) was significantly higher than recovered ones (49.68±16.25 years) (P<0.001). Cough and neurological signs (a lateralizing sign of focal neurological insult) were shown to be significantly different between survived and non-survived groups (P=0.008 and P<0.001, respectively). Leukocytosis was present in 15 (41.7%) patients who died and 5 (14.3%) patients who were discharged (P=0.01). Hemoglobin and O2 saturation were significantly lower in patients who died than in recovered ones (P<0.001 and P=0.001, respectively). A significantly higher level of CRP was found in deceased infected patients compared to recovered ones (P=0.001). Crazy-paving pattern and consolidation were significantly higher in patients who died than in recovered subjects (P<0.001). Conclusion: Patients' manifestations on admission, such as older age, cough, leukocytosis, low levels of hemoglobin and O2 saturation, as well as the occurrence of crazy-paving patterns and consolidation, were predictive of poor outcomes. © 2023 Authors. All rights reserved.
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Background: The coming various disasters, especially probable pandemics, will need a large number of volunteers with different capabilities. Motivation of volunteers, as a driving force, will be very important for future pandemic disaster planning. The aim of this study was to determine the enablers and barriers to the engagement of healthcare professionals in voluntary activities during the COVID-19 pandemic. Methods: This cross-sectional study was conducted at the General Internal Medicine Departments of Imam Khomeini Hospital Complex in Tehran, Iran. A 44-item questionnaire was designed based on the Literature Review and Experts Panel. Items were scored on a 5-point Likert scale, ranging from "strongly disagree (1)” to "strongly agree (5)”. Content validity and face validity of the questionnaire were checked by 10 experts and 10 respondents, respectively. Cronbach's alpha of the items of stimulating and inhibitory factors' section was calculated 0.83 and 0.92, respectively. A self-administrated paper-based questionnaire has been distributed among healthcare team members. Results: Out of 105 health care professionals, 80 (76.2%) were female and 41 (39%) were married. The most significant demographic predictor of willingness to volunteering was having no child (p-value=0.001). History of infection, admission, or death of family members or friends in the current pandemic was an important factor to reduce the desire to voluntary activities significantly (p-value=0.019). Depressive disorders and using antidepressants had no relation with the attraction to volunteering, but anxiety disorders had a significant relation with the willingness to be a volunteer (p-value=0.04). Conclusion: The most important demographic variables influencing the unwillingness to participate in voluntary activities during the COVID-19 crisis are parenting role, history of anxiety disorders, and history of hospitalization or death of relatives or friends. Furthermore, the voluntary participation of healthcare professionals is influenced by facilitating factors such as giving rewards, reducing the period of obligatory military service, having a sense of altruism, and helping others. Copyright © 2023, Journal of Iranian Medical Council. All rights reserved. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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Background and purpose: The Coronavirus Disease 2019 (COVID-19) pandemic, caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2) resulted in a worldwide emergency. Various studies show conflicting and diverse results on the role of inflammatory cytokines in predicting the severity and prognosis in patients with COVID-19. The aim of this study was to compare the serum levels of interleukin-6 (IL-6) and interleukin-8 (IL-8) in predicting the severity of COVID-19 and prognosis in patients admitted to Qaemshahr Razi Hospital. Materials and methods: In this cross-sectional prospective study, the serum levels of interleukin 8 and 6 were measured in 51 patients with COVID-19 and compared with 25 healthy individuals in Qaemshahr Razi Hospital, 2021. ELISA method was used to measure these cytokines and data analysis was performed in SPSS V25. Results: The serum levels of IL6 and IL8 in the patient group were about 4 times and 6 times higher than those of the control group, respectively. Average levels of IL-6 (P=0.004) and IL-8 (P<0.001) were significantly higher in patients with severe COVID-19 compared to moderate form and control group. There was no correlation between the duration of hospitalization and the level of IL-6 (P=0.1), while there was a significant correlation between the length of hospital stay and the level of IL-8 (P=0.012). Conclusion: IL-6 and IL-8 serum levels in patients with COVID-19 can be helpful in predicting the severity of disease and prognosis of patients.
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Background and purpose: The Coronavirus Disease 2019 (COVID-19) pandemic, caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2) resulted in a worldwide emergency. Various studies show conflicting and diverse results on the role of inflammatory cytokines in predicting the severity and prognosis in patients with COVID-19. The aim of this study was to compare the serum levels of interleukin-6 (IL-6) and interleukin-8 (IL-8) in predicting the severity of COVID-19 and prognosis in patients admitted to Qaemshahr Razi Hospital. Material(s) and Method(s): In this cross-sectional prospective study, the serum levels of interleukin 8 and 6 were measured in 51 patients with COVID-19 and compared with 25 healthy individuals in Qaemshahr Razi Hospital, 2021. ELISA method was used to measure these cytokines and data analysis was performed in SPSS V25. Result(s): The serum levels of IL6 and IL8 in the patient group were about 4 times and 6 times higher than those of the control group, respectively. Average levels of IL-6 (P=0.004) and IL-8 (P<0.001) were significantly higher in patients with severe COVID-19 compared to moderate form and control group. There was no correlation between the duration of hospitalization and the level of IL-6 (P=0.1), while there was a significant correlation between the length of hospital stay and the level of IL-8 (P=0.012). Conclusion(s): IL-6 and IL-8 serum levels in patients with COVID-19 can be helpful in predicting the severity of disease and prognosis of patients.Copyright © 2023, Mazandaran University of Medical Sciences. All rights reserved.
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Background and purpose: The Coronavirus Disease 2019 (COVID-19) pandemic, caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2) resulted in a worldwide emergency. Various studies show conflicting and diverse results on the role of inflammatory cytokines in predicting the severity and prognosis in patients with COVID-19. The aim of this study was to compare the serum levels of interleukin-6 (IL-6) and interleukin-8 (IL-8) in predicting the severity of COVID-19 and prognosis in patients admitted to Qaemshahr Razi Hospital. Materials and methods: In this cross-sectional prospective study, the serum levels of interleukin 8 and 6 were measured in 51 patients with COVID-19 and compared with 25 healthy individuals in Qaemshahr Razi Hospital, 2021. ELISA method was used to measure these cytokines and data analysis was performed in SPSS V25. Results: The serum levels of IL6 and IL8 in the patient group were about 4 times and 6 times higher than those of the control group, respectively. Average levels of IL-6 (P=0.004) and IL-8 (P<0.001) were significantly higher in patients with severe COVID-19 compared to moderate form and control group. There was no correlation between the duration of hospitalization and the level of IL-6 (P=0.1), while there was a significant correlation between the length of hospital stay and the level of IL-8 (P=0.012). Conclusion: IL-6 and IL-8 serum levels in patients with COVID-19 can be helpful in predicting the severity of disease and prognosis of patients.
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Background and purpose: The Coronavirus Disease 2019 (COVID-19) pandemic, caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2) resulted in a worldwide emergency. Various studies show conflicting and diverse results on the role of inflammatory cytokines in predicting the severity and prognosis in patients with COVID-19. The aim of this study was to compare the serum levels of interleukin-6 (IL-6) and interleukin-8 (IL-8) in predicting the severity of COVID-19 and prognosis in patients admitted to Qaemshahr Razi Hospital. Materials and methods: In this cross-sectional prospective study, the serum levels of interleukin 8 and 6 were measured in 51 patients with COVID-19 and compared with 25 healthy individuals in Qaemshahr Razi Hospital, 2021. ELISA method was used to measure these cytokines and data analysis was performed in SPSS V25. Results: The serum levels of IL6 and IL8 in the patient group were about 4 times and 6 times higher than those of the control group, respectively. Average levels of IL-6 (P=0.004) and IL-8 (P<0.001) were significantly higher in patients with severe COVID-19 compared to moderate form and control group. There was no correlation between the duration of hospitalization and the level of IL-6 (P=0.1), while there was a significant correlation between the length of hospital stay and the level of IL-8 (P=0.012). Conclusion: IL-6 and IL-8 serum levels in patients with COVID-19 can be helpful in predicting the severity of disease and prognosis of patients. © 2023, Mazandaran University of Medical Sciences. All rights reserved.
ABSTRACT
Background and purpose: The Coronavirus Disease 2019 (COVID-19) pandemic, caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2) resulted in a worldwide emergency. Various studies show conflicting and diverse results on the role of inflammatory cytokines in predicting the severity and prognosis in patients with COVID-19. The aim of this study was to compare the serum levels of interleukin-6 (IL-6) and interleukin-8 (IL-8) in predicting the severity of COVID-19 and prognosis in patients admitted to Qaemshahr Razi Hospital. Material(s) and Method(s): In this cross-sectional prospective study, the serum levels of interleukin 8 and 6 were measured in 51 patients with COVID-19 and compared with 25 healthy individuals in Qaemshahr Razi Hospital, 2021. ELISA method was used to measure these cytokines and data analysis was performed in SPSS V25. Result(s): The serum levels of IL6 and IL8 in the patient group were about 4 times and 6 times higher than those of the control group, respectively. Average levels of IL-6 (P=0.004) and IL-8 (P<0.001) were significantly higher in patients with severe COVID-19 compared to moderate form and control group. There was no correlation between the duration of hospitalization and the level of IL-6 (P=0.1), while there was a significant correlation between the length of hospital stay and the level of IL-8 (P=0.012). Conclusion(s): IL-6 and IL-8 serum levels in patients with COVID-19 can be helpful in predicting the severity of disease and prognosis of patients. Copyright © 2023, Mazandaran University of Medical Sciences. All rights reserved.
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Background and purpose: Clinical epidemiology of deceased COVID-19 patients is of great importance in identifying the risk factors for mortality and controlling the pandemic. In this study, we studied the demographic and clinical characteristics of deceased COVID-19 patients in Sari Fatemeh Zahra Hospital, Iran, between March 2020 and February 2021. Materials and methods: This retrospective cross-sectional study was performed by reviewing hospital records of deceased patients diagnosed with COVID-19 (n=214). Diagnosis of COVID-19 was confirmed on the basis of positive RT-PCR test and lung CT scan findings. Information about demographic and imaging characteristics, underlying diseases, and risk factors were collected. Data were analyzed in SPSS V25.
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Background and purpose: Clinical epidemiology of deceased COVID-19 patients is of great importance in identifying the risk factors for mortality and controlling the pandemic. In this study, we studied the demographic and clinical characteristics of deceased COVID-19 patients in Sari Fatemeh Zahra Hospital, Iran, between March 2020 and February 2021. Materials and methods: This retrospective cross-sectional study was performed by reviewing hospital records of deceased patients diagnosed with COVID-19 (n=214). Diagnosis of COVID-19 was confirmed on the basis of positive RT-PCR test and lung CT scan findings. Information about demographic and imaging characteristics, underlying diseases, and risk factors were collected. Data were analyzed in SPSS V25. Results: The mean age of deceased patients was 68.37 ± 14.1. The most common underlying diseases were hypertension(47.2%), cardiovascular disease (45.8%), and diabetes (40.7%). Abnormalities in lung imaging included peripheral lesions of ground glass in 149 (69.6%), ground glass with consolidation in 46 (21.4%), and crazy paving in 19 (9%) patients, respectively. There was no difference in mean age, sex, underlying diseases, and type of supportive care in patients who died during the epidemic waves of one to three. Conclusion: Underlying diseases were the most critical risk factors for the death of patients with COVID-19 and should be given special attention in assessing the need for hospitalization and treatment of these patients. It is also recommended to conduct a comprehensive study of deceased patients before and after vaccination to evaluate the final effects of general immunization.
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Identifying and determining the origin of the first human case of COVID-19, which has caused pandemic will be of great benefit in preventing and controlling next epidemics and pandemics. The first confirmed case of COVID-19 was reported in December 2019 in China. This article reports three cases of pneumonia compliant with COVID-19 admitted to Qaemshahr Razi Hospital in Mazandaran province, Iran before the first official report of confirmed case of the disease (November-December 2019). The pattern of radiological involvement was completely consistent with COVID-19 in all three patients. Two patients died of acute progressive respiratory failure despite supportive respiratory therapy and systemic corticosteroids, and the other patient recovered. Study of these cases highlights the fact that emerging and re-emerging diseases should be considered in management of patients with infection and unusual symptoms.