A Multiple-Center, Retrospective Study of Characteristics and Outcomes of Hospitalized COVID-19 Patients with Cardiovascular Disease in North Iran.

Background: In this retrospective study, we investigated the outcomes and demographic characteristics of COVID-19 patients with and without a history of CVD. Methods: This large retrospective, multicenter study was performed on inpatients with suspected COVID-19 pneumonia who were admitted across four hospitals in Babol, Northern Iran.Demographic data, clinical data, and cycle threshold value (Ct) results of Real Time PCR were obtained. Then, participants were divided into two groups: (1) cases with CVDs, (2) cases without CVDs. Results: A total of 11097 suspected COVID-19 cases with a mean ± SD age of 53 ±25.3 (range: 0 to 99) years were involved in the present study. Out of whom 4599 (41.4%) had a positive RT-PCR result. Of those, 1558 (33.9%) had underlying CVD. Patients with CVD had significantly more co-morbidities such as hypertension, kidney disease, and diabetes. Moreover, 187 (12%) and 281 (9.2%) of patients with and without CVD died, respectively. Also, mortality rate was significantly high among the three groups of Ct value in patients with CVD, with the highest mortality in those with Ct between 10 and 20 (Group A = 19.9%). Conclusions: In summary, our results highlight that CVD is a major risk factor for hospitalization and the severe consequences of COVID-19. Death in CVD group is significantly higher compared to non-CVD. In addition, the results show that age-related diseases can be a serious risk factor for the severe consequences of COVID-19.

One-year prevalence and the association between SARS-CoV-2 cycle threshold, comorbidity and outcomes in population of Babol, North of Iran (2020-2021)

Background: The present study aimed to investigate the one-year prevalence of SARS-CoV-2, common comorbidities and demographic information among negative- and positive rRT-PCR in health care workers (HCW), hospitalized and outpatients. Also, the association between SARS-CoV-2 cycle threshold (Ct) and the outcomes of patients were analyzed in Babol, northern Iran. Methods: This large retrospective cross-sectional study was performed between March 2020 and March 2021. The records of 19232 hospitalized, outpatients and HCW suspected to COVID-19 were collected from teaching hospitals in the North of Iran. Results: Out of the 19232 suspected to COVID-19 patients, 7251 (37.7%) had a positive rRT-PCR result;652 (9%), 4599 (63.4%) and 2000 (27.6%) of those were categorized as HCW, hospitalized and outpatients, respectively. Moreover, between the hospitalized and the outpatient group, 10.2 and 0.8% cases died, whereas no death cases were reported in the HCW. Furthermore, it seems that death rate was significantly different between the three groups of Ct value, the highest mortality in those with Ct between 21 and 30 (group B=7.6%) and the lowest in the group with the highest Ct (between 31 and 40 = 5.5%) (p<0.001). Conclusion: In summary, 37.7% of cases were positive for SARS-CoV-2;of which, 63.4, 27.6 and 9% were hospitalized, outpatients and HCW, respectively. With regard to the mortality rate in hospitalized patients and the significant association with Ct under 20 and 30, it seems that the early detection and the initial quantification of SARS-CoV-2 in the first week of the conflict and therapeutic considerations to reduce the relative load can reduce the mortality rate.

A Large Retrospective Study of Epidemiological Characteristics of COVID-19 Patients in the North of Iran: Association between SARS-CoV-2 RT-PCR Ct Values with Demographic Data

Objectives To avoid worsening from mild, moderate, and severe diseases and to reduce mortality, it is necessary to identify the subpopulation that is more vulnerable to the development of COVID-19 unfavorable consequences. This study aims to investigate the demographic information, prevalence rates of common comorbidities among negative and positive real-time reverse-transcriptase polymerase chain reaction (rRT-PCR) patients, and the association between SARS-CoV-2 cycle threshold (Ct) at hospital admission, demographic data, and outcomes of the patients in a large population in Northern Iran. Methods This large retrospective cross-sectional study was performed from 7 March to 20 December 2020. Demographic data, including gender, age, underlying diseases, clinical outcomes, and Ct values, were obtained from 8,318 cases suspected of COVID-19, who were admitted to four teaching hospitals affiliated to Babol University of Medical Sciences (MUBABOL), in the north of Iran. Results Since 7 March 2020, the data were collected from 8,318 cases suspected of COVID-19 (48.5% female and 51.5% male) with a mean age of 53 ± 25.3 years. Among 8,318 suspected COVID-19 patients, 3,250 (39.1%) had a positive rRT-PCR result;1,632 (50.2%) patients were male and 335 (10.3%) patients died during their hospital stay. The distribution of positive rRT-PCR revealed that most patients (464 (75.7%)) had a Ct between 21 and 30 (Group B). Conclusion Elderly patients, lower Ct, patients having at least one comorbidity, and male cases were significantly associated with increased risk for COVID-19-related mortality. Moreover, mortality was significantly higher in patients with diabetes, kidney disease, and respiratory disease.

Epidemiology of COVID-19: An updated review.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a zoonotic infection, is responsible for COVID-19 pandemic and also is known as a public health concern. However, so far, the origin of the causative virus and its intermediate hosts is yet to be fully determined. SARS-CoV-2 contains nearly 30,000 letters of RNA that allows the virus to infect cells and hijack them to make new viruses. On the other hand, among 14 detected mutations in the SARS-CoV-2 S protein that provide advantages to virus for transmission and evasion form treatment, the D614G mutation (substitution of aspartic acid [D] with glycine [G] in codon 614 was particular which could provide the facilitation of the transmission of the virus and virulence. To date, in contrary to the global effort to come up with various aspects of SARS-CoV-2, there are still great pitfalls in the knowledge of this disease and many angles remain unclear. That's why, the monitoring and periodical investigation of this emerging infection in an epidemiological study seems to be essential. The present study characterizes the current epidemiological status (i.e., possible transmission route, mortality and morbidity risk, emerging SARS-CoV-2 variants, and clinical feature) of the SARS-CoV-2 in the world during these pandemic.

Central nervous system vasculopathy associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): a novel case report from Iran.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) represents respiratory symptoms as the most common clinical manifestations. Similar to some other viral infections, it can cause severe neurological damages. Here, we describe a 40-year-old man case who initially was admitted to a major hospital with presenting 7 days with weak flu-like symptoms (cough) and fever then presented neurology signs for 3 days. Physical examination and brain magnetic resonance imaging (MRI) showed cerebral vasculopathy. Molecular testing was performed on nasopharyngeal swab by real-time reverse transcription polymerase chain reaction (RT-PCR) which was positive for SARS-CoV-2. The patient received supportive cares and was treated with routine antiplatelet therapy. He was improved and discharged 10 days after admission with no symptoms. Our findings report a 40-year-old man with flu-like symptoms that indicate cerebral vasculopathy that was discharged with no symptoms. Therefore, physicians should be monitor patients with worsening or progressive central nervous system results. The pathobiology of this virus is still incompletely known; therefore, extensive studies are needed to reveal the effect of COVID-19 on the nervous system.

Aptamers, the bivalent agents as probes and therapies for coronavirus infections: A systematic review.

The recently known coronavirus, SARS-CoV-2, has turn into the greatest global health challenge, affecting a large number of societies. The lack of specific treatment and gold-standard diagnostic system has made the situation more complicated. Efforts have led to production of several diagnostic kits that are associated with limitations such as inadequate sensitivity and accuracy. Aptamers as multipotent biological probes could be promising candidates to design sensitive and specific biosensors. Although few studies have introduced specific aptamer types of coronavirus, they may help us select the best approach to obtain specific aptamers for this virus. On the other hand, some of already-introduced aptamers have shown the inhibitory effects on coronavirus that could be applied as therapeutics. The present study has provided a systematic overview on use of aptamer-based biosensors and drugs to diagnose and treat coronavirus.

A narrative literature review on traditional medicine options for treatment of corona virus disease 2019 (COVID-19).

Coronavirus disease 2019 (COVID-19) as a life-threatening disease is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that is accounted as global public health concern. Treatment of COVID-19 is primarily supportive and the role of antiviral agents is yet to be established. However, there are no specific anti-COVID-19 drugs and vaccine until now. This review focuses on traditional medicine such as medicinal plant extracts as promising approaches against COVID-19. Chinese, Indian and Iranian traditional medicine, suggests some herbs for prevention, treatment and rehabilitation of the diseases including COVID-19. Although, inhibition of viral replication is considered as general mechanism of herbal extracts, however some studies demonstrated that traditional herbal extracts can interact with key viral proteins which are associated with virus virulence. Chinese, Indian and Iranian traditional medicine, suggests some herbs for prevention, treatment and rehabilitation of the diseases including COVID-19. However the beneficial effects of these traditional medicines and their clinical trials remained to be known. Herein, we reviewed the latest updates on traditional medicines proposed for treatment of COVID-19.

An updated review of the association of host genetic factors with susceptibility and resistance to COVID-19.

The emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in human populations sparked a global pandemic of the coronavirus disease 2019 (COVID-19). According to preliminary data, about 14% of cases are considered severe and 5% of cases result in critical illness and, reported case fatality rates vary from 1% to more than 7%. However, the symptoms of the disease and the clinical outcome are very different in infected people. In view of these differences, it is clearly apparent that to gain insight into the biology of the SARS-CoV-2, it is important to study not just the infectious particle in itself but also to investigate the virus-host cell interactions that occur during infection. This review seeks to consider the various aspects of genetic factors in determining the susceptibility and host resistance to SARS-CoV-2 throughout the recently published literature.

Emerging coronaviruses: first SARS, second MERS and third SARS-CoV-2: epidemiological updates of COVID-19

Since December 2019, the emergence of the Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) infection has been reported unexpectedly in Wuhan, China, with staggering infection speed across China and around the world. To date, seven known strains of HCoVs belonging to four genera (i.e., alpha?, beta?, gamma, and delta-CoV) have been recognized;the latest one has been identified as the SARS-CoV-2. Although the common transmission routes of SARS-CoV-2 is the respiratory tract, it seems that other routes such as the gastrointestinal tract may be effective for the entry of the virus in the body. Although there are no biological markers to predict the susceptibility of humans to COVID-19, several risk factors have been identified to predict the susceptibility of patients to COVID-19. Initial data revealed that males, pregnant women, elderly, and underlying conditions predispose patients to higher morbidity or mortality and also might be at risk for a severe infection of COVID-19. There is a greater need to better understand the mechanisms and risk factors of transmission routes. To date, despite the whole world effort to review various aspects of SARS-CoV-2, including epidemiology, clinical manifestations, diagnosis, and treatment options, there are still gaps in the knowledge of this disease and many issues remain unclear. Therefore, there is an urgent need for update data on SARS-CoV-2. Here, this study provide the current epidemiological status (transmission routes and risk of transmission, possible origins and source, mortality and morbidity risk, and geographical distribution) of the SARS-CoV-2 in the world in 2020.