Comparing the severity of Outcomes of SARS-CoV-2 between RT-PCR-positive and RT-PCR-negative Individuals in Iran Comparing the severity of Outcomes of SARS-CoV-2 between RT-PCR-positive and RT-PCR-negative Individuals in Iran (preprint)

The aim of this study was to compare the outcomes of SARS-CoV-2 RT-PCR-positive and RT-PCR negative Patients in Iran. This cohort study performed on 81393 patients with COVID-19 in six provinces of Iran during 2020. The studied variables include demographic and clinical. To examine the associations between RT-PCR test and death or ICU admission as dependent variable the multiple Bayesian logistic regression model was used by R software. 81393 individual (44.9 % female) with a mean age of 52.98 ± 20.8 years were included to the analysis. At all, 25434 tests (31.2 %) were positive RT-PCR, including 10772 men (44.9%) and 14662 women (55.1%). The multiple Bayesian logistic regression model showed a significant positive association between RT-PCR test results and COVID-19 mortality rate (OR: 1.46; 95% Crl: 1.29- 1.64). Also, males, older age, individual with chronic disease have higher risk of COVID-19 death, however, negative association observed between history of contact and COVID-19 death. We observed a significant inverse association between RT-PCR test results and ICU admission, while, the risk of ICU admission increased significantly by 1.2 times (95% Crl for odds ratio: 1.09, 1.34) among patients with negative RT-PCR test compared to positive RT-PCR test. People with positive RT-PCR test, male gender, older age, having a history of underlying disease have a higher risk of death and hospitalization in the ICU. Therefore, paying attention to these factors will be effective in reducing the risk of death and hospitalization in ICU.

Clinical predictors of Covid-19 mortality in a tertiary hospital in Lagos, Nigeria: A retrospective cohort study.

Background: The predictors of mortality among patients presenting with severe to critical disease in Nigeria are presently unknown. Aim: The aim of this study was to identify the predictors of mortality among patients with COVID-19 presenting for admission in a tertiary referral hospital in Lagos, Nigeria. Patients and Methods: The study was a retrospective study. Patients' sociodemographics, clinical characteristics, comorbidities, complications, treatment outcomes, and hospital duration were documented. Pearson's Chi-square, Fischer's Exact test, or Student's t-test were used to assess the relationship between the variables and mortality. To compare the survival experience across medical comorbidities, Kaplan Meir plots and life tables were used. Univariable and multivariable Cox-proportional hazard analyses were conducted. Results: A total of 734 patients were recruited. Participants' age ranged from five months to 92 years, with a mean ± SD of 47.4 ± 17.2 years, and a male preponderance (58.5% vs. 41.5%). The mortality rate was 9.07 per thousand person-days. About 73.9% (n = 51/69) of the deceased had one or more co-morbidities, compared to 41.6% (252/606) of those discharged. Patients who were older than 50 years, with diabetes mellitus, hypertension, chronic renal illness, and cancer had a statistically significant relationship with mortality. Conclusion: These findings call for a more comprehensive approach to the control of non-communicable diseases, the allocation of sufficient resources for ICU care during outbreaks, an improvement in the quality of health care available to Nigerians, and further research into the relationship between obesity and COVID-19 in Nigerians.

Household Secondary Attack Rate of COVID-19 among Healthcare Workers and Related Factors

Background: The risk for transmission of COVID-19 to people in close contact with infected people, especially healthcare workers, has not been well estimated. Therefore the present study was conducted to assess the household secondary attack rate (SAR) of COVID-19 among healthcare workers and related factors. Material(s) and Method(s): The present prospective case-ascertained study was conducted on 202 healthcare workers with confirmed COVID-19 in Hamadan, diagnosed from March 1, 2020, to August 20, 2020. For households with close contact with the index case, RT-PCR was performed regardless of symptoms. We defined SAR as the proportion of secondary cases from the total contacts that live in the index case household. SAR was reported as a percentage and 95% confidence interval (CI). Multiple logistic regression was performed to explore the predictors of COVID-19 transmission of index cases to their households. Result(s): We found 36 secondary cases out of 391 household contacts with laboratory confirmation (RT-PCR), representing a household SAR of 9.2% (95% CI: 6.3, 12.1). Among factors related to the family member, female gender (OR: 2.9, 95% CI: 1.2, 6.9), being the patient's spouse (OR: 2.2, 95% CI: 1.0, 4.6), and living in the apartment (OR: 2.78, 95% CI: 1.24, 6.23), and among factors related to index cases, hospitalization (OR: 5.9, 95% CI: 1.3, 26.9) and caught (OR: 2.4, 95% CI: 1.1, 5.2) were the significant predictors of disease transmission to other family members (P<0.05). Conclusion(s): The findings of this study suggest that the SAR is remarkable in household contacts of infected healthcare workers. Some characteristics of family members of the index case, including female gender, being the patient's spouse, and living in the apartment, and some characteristics of the index case, including hospitalization and caught, were associated with the increased SAR.Copyright © 2022 NRITLD, National Research Institute of Tuberculosis and Lung Disease, Iran.

Factors Related to Nurses and Physicians’ Knowledge and Attitudes Towards Palliative Care

Background: Changes in the course of diseases, their treatment, and care provision result in the need for a specific type of care known as palliative care. Medical staff’s knowledge and awareness of palliative care is important in this regard. Objectives: This study aims to examine the caregivers’ knowledge and awareness of palliative care and to determine the related predictors. Methods: In this cross-sectional study, 277 subjects were selected from among the caregivers working in the selected teaching hospitals in Iran through non-randomized sampling method. The subjects were asked to fill the online questionnaire which consisted of 3 sections including demographic data, knowledge, and attitude toward palliative care. Descriptive, inferential statistics, correlation and regression analyses were performed. Results: The mean scores of care providers’ attitude and knowledge were 140.90 ± 11.56 and 19.36 ± 2.73 respectively. There was a significant relationships between some variables such as working place, education level, age, palliative care-related working expe-rience, and the necessity to pass training courses and the mean scores of attitude and knowledge. Conclusions: Since palliative care providers’ level of knowledge and attitude were reported to be moderate, training courses at different levels in the form of clinical courses should be offered with the aim of improving care providers’ skills and scientific abilities. It is essential to include the related topics in the curricula of academic programs.

Seroepidemiology of COVID-19 in high-risk occupational groups in west of Iran, November 2020

Background and purpose: The actual prevalence of Coronavirus Disease 2019 (COVID-19) can only be estimated by population-based serological examinations and individuals without clinical symptoms may not be identified or reported. In this sero-epidemiological study we aimed at exploring the serum prevalence of COVID-19 in highly exposed occupational groups in western Iran. Materials and methods: A total of 1106 people with jobs with a high potential for exposure to COVID-19 (excluding doctors) were selected in Sanandaj, Kermanshah, and Hamedan. Demographic information of all participants were recorded and venous blood samples (3 ml) were taken. IgG levels were measured to determine the serum prevalence of immunoglobulin using EUROIMMUN kit.

Epidemiological Features of Covid-19 Epidemic in Hamadan Province, Finding of a Ten-Month Period

Background and Objectives: The aim of this study was to investigate the epidemiological characteristics of patients with Covid-19 in Hamadan Province. Materials and Methods: In this descriptive cross-sectional study, demographic and epidemiological data of all people who presented to hospitals in Hamadan Province from February 2019 to December 2020 were extracted using two checklists. Data were then analyzed using the Stata software. Results: In this study, 9674 covid-19 positive patients were examined. According to results, 49.11% of the cases occurred in the elderly over 60 years. The rate of involvement was higher in females than males (51.57% vs. 48.43%). Moreover, 72.05% of the definitive patients lived in the city and 0.76% reported traveling to areas with a high prevalence of the disease two weeks before the onset of symptoms. The highest incidence of this disease per one hundred thousand population was in Malayer, Hamedan and Nahavand counties and the highest fetality was in Razan and Dargazin, Tuyserkan and Asadabad counties, respectively. The data of suspected, probable, and definite outpatients with Covid-19 presenting to medical centers were not evaluated in this study. Conclusion: Due to the high death rate in the elderly, males, those with underlying diseases, and people living in rural areas, it is necessary to design and apply precautionary measures in these groups. Attention should be paid to these high-risk groups in the shortest possible time to reduce the burden of this disease on individuals as well as the health care system. © 2021, Iranian Epidemiological Association. All rights reserved.

Covid 19: A Prospective Observational Study on the Cutaneous Manifestations of Patients in Lagos, Nigeria

BACKGROUND: Cutaneous manifestations of COVID-19 have been documented from Europe, USA, and China but none from Africa to date. Skin findings among Africans differ from Caucasians and it is important to report these in Nigerians with COVID-19. METHODS: A prospective observational review involving patients seen at the Emergency triage, and Isolation wards of the Lagos University Teaching Hospital. Demographic and clinical data were captured;skin and appendages were examined by a dermatologist between 0800hrs and 1600hours to minimise visual errors of artificial light masking cutaneous lesions. RESULTS: Of 235 participants, 17 (7.23%) had recent onset skin rash, with 7 (41.2%) experienced itching and 11 confirmed with COVID-19. There was a male: female ratio of 97:43 (2.3:1) among COVID-19 patients. Cutaneous findings were seen in 12 (5.1%) participants, with the face and trunk mostly affected and acne plus papular eruptions predominating. There was no significant relationship between COVID-19 and recent onset skin rash (χ2, p = 0.87). Only 2 of the 17 participants had a previously existing dermatoses ((χ2, p = 0.84). There was no significant relation between use of medications and onset of rashes (χ2, p = 0.72) or between those with co-morbidities and onset of rashes (χ2, p = 0.51). CONCLUSION: Cutaneous manifestations were found among Nigerian patients with SARS-CoV-2 infection. Most presented with pruritus and papular eruptions and no morphologic pattern was demonstrated. Physicians and dermatologists need to be aware and look out for skin changes in SARS-CoV-2 infection as they may be early pointers to COVID-19. Keywords: Cutaneous findings, manifestations, Skin, COVID-19, Nigeria.

Demographic and clinical features association with mortality in patients with covid-19: A cross-sectional study in the west of Iran

The coronavirus disease 2019 (COVID-19) pandemic as an emergency public health concern has caused hundreds of thousands of deaths in the world. Identifying predictors of death in COVID-19 patients is a key to improving survival and helping patients triage, better management, and assist physicians and health care. The present study was conducted on 512 positive COVID-19 patients confirmed by real-time PCR hospitalized in Sina Hospital, Hamadan, in 2020. The data of demographic characteristics, clinical manifestations, laboratory findings, chest examination, and disease outcome were collected. The logistic regression model was performed to explore the predictors of in-hospital mortality. Among 512 patients, 57 (11.1%) deaths have occurred. The adjusted odds ratios (OR) estimate of death in COVID-19 for patients with age more than 60 years versus those lower than 60 years was 3.15 (95% CI: 1.06, 9.37). The adjusted OR estimate of death in patients with hypertension comorbidity versus those with no comorbidity was 3.84 (95% CI: 1.27, 11.59). In addition, the adjusted OR estimate (95% CI) of death in patients with respiratory rate above 30 per minute, BUN >20 mg/dL, LDH >942 U/L and SGOT >45 U/L against lower than those values was respectively 10.72 (1.99, 57.68), 5.85 (2.19, 15.63), 13.42 (2.17, 83.22) and 2.86 (1.02, 8.05). The risk of death was higher among the patients with multiple comorbidity diseases, systolic BP lower than 90 mmHg, SPO2 lower than 88 and more than ten days hospitalization in comparison with COVID-19 patients with no comorbidity disease (P=0.002), systolic BP higher than 90 mmHg (P=0.002), SPO2 higher than 88 (P<0.001) and hospitalization for lower than ten days (P=0.012). Our findings suggest that older age, pre-existing hypertension and/or multiple co-morbidities, high respiratory rate, elevated BUN, LDH and SGOT, low systolic BP, and hypoxemia were independently associated with in-hospital mortality in COVID-19 patients. These results can be helpful for physicians and health care workers to improve clinical management and appropriate medical care of COVID-19 patients.

Spatiotemporal analysis, hotspot mapping, and clustering of confirmed cases of COVID-19 in the initial phase of the pandemic in Qom province, Iran

Objective: To identify the incidence rate, relative risk, hotspot regions and incidence trend of COVID-19 in Qom province, northwest part of Iran in the first stage of the pandemic. Methods: The study included 1 125 officially reported PCR-confirmed cases of COVID-19 from 20 February 2020 to 20 April 2020 in 90 regions in Qom city, Iran. The Bayesian hierarchical spatial model was used to model the relative risk of COVID-19 in Qom city, and the segmented regression model was used to estimate the trend of COVID-19 incidence rate. The Poisson distribution was applied for the observed number of COVID-19, and independent Gamma prior was used for inference on log-relative risk parameters of the model. Results: The total incidence rate of COVID-19 was estimated at 89.5 per 100 000 persons in Qom city (95% CI: 84.3, 95.1). According to the results of the Bayesian hierarchical spatial model and posterior probabilities, 43.33% of the regions in Qom city have relative risk greater than 1;however, only 11.11% of them were significantly greater than 1. Based on Geographic Information Systems (GIS) spatial analysis, 10 spatial clusters were detected as active and emerging hotspot areas in the south and central parts of the city. The downward trend was estimated 10 days after the reporting of the first case (February 7, 2020);however, the incidence rate was decreased by an average of 4.24% per day (95%CI:-10.7, -3.5). Conclusions: Spatial clusters with high incidence rates of COVID-19 in Qom city were in the south and central regions due to the high population density. The GIS could depict the spatial hotspot clusters of COVID-19 for timely surveillance and decision-making as a way to contain the disease.

Epidemiological Characteristics, Clinical Features, and Outcome of COVID-19 Patients in Northern Tehran, Iran;a Cross-Sectional Study

Introduction: Following the widespread pandemic of the novel coronavirus diseases (COVID-19), this study has reported demographic and laboratory findings and clinical outcomes of patients with COVID-19 admitted to a tertiary educational hospital in 99 days in Iran. Objective: We aimed to investigate in-hospital death risk factors including underlying diseases and describe the signs, symptoms, and demographic features of COVID-19 patients. Methods: All confirmed COVID-19 cases admitted from 22 February to 30 May 2020 were extracted from hospital records. A follow-up telephone survey was conducted 30 days after discharge to acquire additional data such as survival status. Distribution of demographic and clinical characteristics was presented based on survival status during hospitalization. All analyses were performed using STATA version 14 with a level of significance below 5%. Results: Among 1083 recorded patients, the rate of survival and death was 89.2% (n=966) and 10.8% (n=117), respectively. 62% of the cases (n=671) were male. The mean recovery time was 1.90 (3.4) days in survived cases, which was significantly lower than that in deceased cases 4.5 (5.2) days, p<0.001). A significantly higher rate of death was observed among patients above the age of 60 years (24.8%, p<0.001), cases with hypertension (25.4%, P<0.001) and cases without cough ( 17 %, p=0.002) but with shortness of breath (16.5%, p=0.001). Conclusions: Our study emphasized the significant effect of different underlying conditions as mortality factors among COVID-19 patients, namely older age spectrum, hypertension, and ischemic heart disease. By acknowledging the epidemiologic pattern and mortality factors, we have more tools to prioritize and make better judgments, and more lives can be saved.

COVID-19 preventive behaviors and its related beliefs among health workers: The role of threat and coping appraisals

Aims Health workers are at high risk of novel coronavirus (Covid-19) and preventive behaviors play an important role in reducing the incidence and deaths of this infection. Therefore, the aim of the present study was to investigate COVID-19 Preventive Behaviors and its Related Beliefs among Health Workers of Hamadan province using the Extended Parallel Process Model (EPPM). Instruments & Methods This cross-sectional descriptive study was conducted on 950 health workers in Hamadan, in 2020 who were selected by multistage random sampling method. The data were collected using a questionnaire including demographic information and EPPM constructs. Data were analyzed in STATA 14 using descriptive statistics and Pearson correlation test. Findings Behaviors of avoiding contact with others and frequent hand washing with soap and water with 97.8% and 95.3%, respectively, had the highest frequency among health personnel. The condition of EPPM constructs was evaluated at a relatively favorable level. Also, 46.0% of health personnel were involved in the risk perception process. Conclusions It is necessary to improve the level of perceived self-efficacy of employees and also to emphasize the effectiveness of the recommended strategies in the prevention of Covid-19 disease. Copyright © 2020, ASP Ins.