The Effects of Convalescent Plasma Transfusion on Serum Levels of Macrophage-Associated Inflammatory Biomarkers in Patients with Severe COVID-19.

As an antibody-based therapy, plasma therapy has been used as an emergency therapeutic strategy against severe acute respiratory syndrome coronavirus type 2 infection. Due to the critical role of macrophages in coronavirus disease-19 (COVID-19)-associated hyperinflammation, the main objective of this study was to assess the effect of plasma transfusion on the expression levels of the inflammatory biomarkers involved in activation and pulmonary infiltration of macrophages. The target population included 50 severe hospitalized COVID-19 patients who were randomly assigned into 2 groups, including intervention and control. Serum levels of chemokine (C-C motif) ligand (CCL)-2, CCL-3, tumor necrosis factor (TNF)-α, and interleukin (IL)-6 were measured by enzyme-linked immunosorbent assay. Moreover, quantitative real-time polymerase chain reaction (PCR) was carried out to assess the relative expression of nuclear factor (NF)-κB1, NF-κB2, nuclear factor erythroid 2 p45-related factor 2 (NRF-2), and thioredoxin-interacting protein genes. Sampling was done at baseline and 72 h after receiving plasma. The intervention group demonstrated significantly lower serum levels of IL-6, TNF-α, and CCL-3. In addition, real-time PCR data analyses showed that the relative expression of NF-κB2 was significantly declined in the patients who received plasma. The use of convalescent plasma probably has a significant inhibitory effect on the cytokines, chemokines, and inflammatory genes related to macrophage activation, which are closely associated with the worsening of clinical outcomes in severe COVID-19.

Implementation of an In-House Platform for Rapid Screening of SARS-CoV-2 Genome Variations.

BACKGROUND: Global real-time monitoring of SARS-CoV-2 variants is crucial to controlling the COVID-19 outbreak. The purpose of this study was to set up a Sanger-based platform for massive SARS-CoV-2 variant tracking in laboratories in low-resource settings. METHODS: We used nested RT-PCR assay, Sanger sequencing and lineage assignment for 930-bp of the SARS-CoV-2 spike gene, which harbors specific variants of concern (VOCs) mutations. We set up our platform by comparing its results with whole genome sequencing (WGS) data on 137 SARS-CoV-2 positive samples. Then, we applied it on 1028 samples from March-September 2021. RESULTS: In total, 125 out of 137 samples showed 91.24% concordance in mutation detection. In lineage assignment, 123 out of 137 samples demonstrated 89.78% concordance, 65 of which were assigned as VOCs and showed 100% concordance. Of 1028 samples screened by our in-house method, 78 distinct mutations were detected. The most common mutations were: S:D614G (21.91%), S:P681R (12.19%), S:L452R (12.15%), S:T478K (12.15%), S:N501Y (8.91%), S:A570D (8.89%), S:P681H (8.89%), S:T716I (8.74%), S:L699I (3.50%) and S:S477N (0.28%). Of 1028 samples, 980 were attributed as VOCs, which include the Delta (B.1.617.2) and Alpha (B.1.1.7) variants. CONCLUSION: Our proposed in-house Sanger-based assay for SARS-CoV-2 lineage assignment is an accessible strategy in countries with poor infrastructure facilities. It can be applied in the rapid tracking of SARS-CoV-2 VOCs in the SARS-CoV-2 pandemic.

Predictors of Intensive Care Unit Admission in Patients with Confirmed Coronavirus Disease 2019: A Cross-Sectional Study.

Background: The coronavirus disease 2019 (COVID-19) has become the leading source of pneumonia outbreaks in the world. The present study aimed to compare the condition of intensive care unit (ICU) and non-ICU COVID-19 patients in terms of epidemiological and clinical features, laboratory findings, and outcomes in three cities across Iran. Methods: In a cross-sectional study, 195 COVID-19 patients admitted to five hospitals across Iran during March-April 2020 were recruited. Collected information included demographic data, laboratory findings, symptoms, medical history, and outcomes. Data were analyzed using SPSS software with t test or Mann-Whitney U test (continuous data) and Chi square test or Fisher's exact test (categorical variables). P<0.05 was considered statistically significant. Results: Of the 195 patients, 57.4% were men, and 67.7% had at least one comorbidity. The prevalence of stroke, chronic obstructive pulmonary disease, and autoimmune diseases was higher in ICU than in non-ICU patients (P=0.042, P=0.020, and P=0.002, respectively). Compared with non-ICU, ICU patients had significantly higher white blood cell (WBC) count (P=0.008), cardiac troponin concentrations (P=0.040), lactate dehydrogenase levels (P=0.027), erythrocyte sedimentation rates (P=0.008), and blood urea nitrogen (BUN) (P=0.029), but lower hematocrit levels (P=0.001). The mortality rate in ICU and non-ICU patients was 48.1% and 6.1%, respectively. The risk factors for mortality included age>40 years, body mass index<18 Kg/m2, hypertension, coronary artery disease, fever, cough, dyspnea, ST-segment changes, pericardial effusion, and a surge in WBC and C-reactive protein, aspartate aminotransferase, and BUN. Conclusion: A high index of suspicion for ICU admission should be maintained in patients with positive clinical and laboratory predictive factors.

SARS-CoV-2 outbreak in Iran: The dynamics of the epidemic and evidence on two independent introductions.

The SARS-CoV-2 virus has been rapidly spreading globally since December 2019, triggering a pandemic, soon after its emergence. While Iran was among the first countries confronted with rapid spread of virus in February 2020, no real-time SARS-CoV-2 whole-genome tracking in early phase of outbreak was performed in the country. To address this issue, we provided 50 whole-genome sequences of viral isolates ascertained from different geographical locations in Iran during March-July 2020. The corresponding analysis on origins, transmission dynamics and genetic diversity of SARS-CoV-2 virus, represented at least two introductions of the virus into the country, constructing two major clusters defined as B.4 and B.1*. The first entry of the virus might have occurred around very late 2019/early 2020, as suggested by the time to the most recent common ancestor, followed by a rapid community transmission that led to dominancy of B.4 lineage in early epidemic till the end of June. Gradually, reduction in dominancy of B.4 occurred possibly as a result of other entries of the virus, followed by surge of B.1* lineages, as of mid-May. Remarkably, variation tracking of the virus indicated the increase in frequency of D614G mutation, along with B.1* lineages, which showed continuity till October 2020. The increase in frequency of D614G mutation and B.1* lineages from mid-May onwards predicts a rapid viral transmission that may push the country into a critical health situation followed by a considerable change in composition of viral lineages circulating in the country.

Disease Waves of SARS-CoV-2 in Iran Closely Mirror Global Pandemic Trends.

BACKGROUND: Complete SARS-CoV-2 genome sequencing in the early phase of the outbreak in Iran showed two independent viral entries. Subsequently, as part of a genome surveillance project, we aimed to characterize the genetic diversity of SARS-CoV-2 in Iran over one year after emerging. METHODS: We provided 319 SARS-CoV-2 whole-genome sequences used to monitor circulating lineages in March 2020-May 2021 time interval. RESULTS: The temporal dynamics of major SARS-CoV-2 clades/lineages circulating in Iran is comparable to the global perspective and represent the 19A clade (B.4) dominating the first disease wave, followed by 20A (B.1.36), 20B (B.1.1.413), 20I (B.1.1.7), leading the second, third and fourth waves, respectively. We observed a mixture of circulating B.1.36, B.1.1.413, B.1.1.7 lineages in winter 2021, paralleled in a fading manner for B.1.36/B.1.1.413 and a growing rise for B.1.1.7, prompting the fourth outbreak. Entry of the Delta variant, leading to the fifth disease wave in summer 2021, was detected in April 2021. This study highlights three lineages as hallmarks of the SARS-CoV-2 outbreak in Iran; B4, dominating early periods of the epidemic, B.1.1.413 (B.1.1 with the combination of [D138Y-S477N-D614G] spike mutations) as a characterizing lineage in Iran, and the co-occurrence of [I100T-L699I] spike mutations in half of B.1.1.7 sequences mediating the fourth peak. It also designates the renowned combination of G and GR clades' mutations as the top recurrent mutations. CONCLUSION: In brief, we provided a real-time and comprehensive picture of the SARS-CoV-2 genetic diversity in Iran and shed light on the SARS-CoV-2 transmission and circulation on the regional scale.

A study to design minimum data set of COVID-19 registry system.

BACKGROUND: From the beginning of the COVID-19 pandemic, the development of infrastructures to record, collect and report COVID-19 data has become a fundamental necessity in the world. The disease registry system can help build an infrastructure to collect data systematically. The study aimed to design a minimum data set for the COVID-19 registry system. METHODS: A qualitative study to design an MDS for the COVID-19 registry system was performed in five phases at Ahvaz University of Medical Sciences in Khuzestan Province in southwestern Iran, 2020-2021. In the first phase, assessing the information requirements was performed for the COVID-19 registry system. Data elements were identified in the second phase. In the third phase, the MDS was selected, and in the four phases, the COVID-19 registry system was implemented as a pilot study to test the MDS. Finally, based on the experiences gained from the COVID-19 registry system implementation, the MDS were evaluated, and corrections were made. RESULTS: MDS of the COVID-19 registry system contains eight top groups including administrative (34 data elements), disease exposure (61 data elements), medical history and physical examination (138 data elements), findings of clinical diagnostic tests (101 data elements), disease progress and outcome of treatment (55 data elements), medical diagnosis and cause of death (12 data elements), follow-up (14 data elements), and COVID-19 vaccination (19 data elements) data, respectively. CONCLUSION: Creating a standard and comprehensive MDS can help to design any national data dictionary for COVID-19 and improve the quality of COVID-19 data.

A randomized clinical trial evaluating the immunomodulatory effect of convalescent plasma on COVID-19-related cytokine storm.

Evaluating the effect of convalescent plasma (CP) on some cytokine storm indices in severe COVID-19 patients. Totally, 62 patients were randomly assigned into two groups for this clinical trial. Patients in the intervention group received one unit (500 mL) plasma on the admission day plus standard drugs while the controls merely received standard treatments. Eventually, primary and secondary outcomes were evaluated. In the CP group, compared with controls, the mean levels of lymphocytes and IL-10 significantly increased while the levels of IL-6, TNF-α, and IFN-γ decreased (p < 0.05). The length of in-hospital stay, and mortality rate did not significantly reduce in the CP group compared with controls (p > 0.05) while WHO severity scores remarkably improved (p = 0.01), despite the higher frequency of underlying diseases among the CP group (66.7%) vs. controls (33.3%). Although CP has a remarkable immunomodulatory and antiviral potential to improve the cytokine storm and disease severity in COVID-19 patients, it did not considerably affect the mortality rate.

Prevalence of SARS-CoV-2 in Patients with Severe Pneumonia in Khuzestan Province, Iran.

The emergence of a highly pathogenic virus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) accounts for severe pneumonia throughout the world. More than 7 million world population have been infected with SARS-CoV-2, and the number of deaths is increasing every day. This study aimed to evaluate the frequency of SARS-CoV-2 in hospitalized patients with an acute respiratory infection (ARI). During an outbreak of the SARS-CoV-2, the nasopharyngeal and oropharyngeal swabs were collected from 909 hospitalized patients with severe pneumonia, including 517 (56.9%) males and 392 (43.1%) females. All the collected samples were from different cities of Khuzestan province from 19 February to- 27 March 2020. The RNA was extracted from samples and subjected to real-time polymerase chain reaction (PCR) tests for the detection of the SARS-CoV-2. Simultaneously, the computerized tomography (CT) scan was tested for the presence of ground-glass opacity in the lung among the patients. Of the total number of 909 specimens, 328 (36.08%) cases, including 185 (20.35%) females and 143 (15.73%) males, were positive for the SARS-CoV-2 while, 581 (63.9%) cases, including 374 (41.14%) males and 207 (22.77%) were negative for the SARS-CoV-2 by real-time PCR (p=0.001).Four hundred sixteen (45.76%) cases were positive for ground-glass opacity in the lung by CT scan, while 328/909 (36.08%) trials proved positive for SARS-CoV-2 by the real-time PCR (p=0.003).  In this study, 36.08% of patients were positive for SARS-CoV-2. Although the results of positive cases by CT scan showed higher than real-time PCR, screening the SARS-COV-2 with a real-time PCR method is the first line of choice.

Infection after open heart surgery in Golestan teaching hospital of Ahvaz, Iran.

The present study surveyed demographic and infection data which were obtained after open heart surgery (OHS) through patient's admission in Golestan teaching hospital, Ahvaz metropolitan city of Iran, taking into account the confirmed location of the infection, microorganism and antibiotic susceptibility. The occurrence of infection among patients during 48 to 72 h after surgery and hospital admission is the definition of Nosocomial infections (NIs) (Salmanzadeh et al., 2015) [1]. All of them after OHS were chosen for this study. In this paper, type of catheter, fever, type of microorganism, antibiotic susceptibility, location of the infection and outcome (live or death) were studied (Juhl et al., 2017; Salsano et al., 2017) [2], [3]. After the completion of the observations and recording patients' medical records, the coded data were fed into EXCELL. Data analysis was performed using SPSS 16.

Post-vaccination Immunity Against Hepatitis B Virus and Predictors for Non-responders Among Medical Staff.

BACKGROUND: Hepatitis B virus (HBV) is a major cause of chronic hepatitis, liver cirrhosis, and hepatocellular carcinoma (HCC). HB vaccination is an essential step in the prevention of the disease and its consequent complications. OBJECTIVES: Immune status of medical personnel in teaching hospitals of Khuzestan is not well known. Since these personnel are usually at risk of needle stick and other high-risk events, some challenges exist in infection control committee with regard to managing these events. This study was conducted to assess post-vaccination immunity status and non-response to HBV vaccine as well as its predictors among medical staff in a teaching hospital affiliated to Ahvaz Jundishapur University of Medical Sciences (AJUMS) in Ahvaz, southwest Iran. PATIENTS AND METHODS: In this retrospective cross-sectional study, the medical staff of a teaching hospital was evaluated for their immune response against HBV and factors affecting it. The study conducted in Razi Hospital, Ahvaz City, southwest of Iran, in 2013. Demographical, clinical, and laboratory data registered in medical files of hospital staff were analyzed by SPSS software version 16 using chi-square and Fisher exact tests. Differences with P value < 0.05 were considered significant. To identify predictors for non-responders, we used odds ratio (OR) with 95% confidence interval (CI). RESULTS: Out of 239 participants, 43 (18 %) were men and 196 (82%) were women. Their mean age was 31.9 ± 18.1 years (range of 20 - 55 years). Fourteen (5.9%) participants were non-responders, 37 (15.5%) were poor responders, and 188 (78.6%) were good responders. The non-responders were older (> 50 years) than the responders (P = 0.0001), while the body mass index (BMI) was not significantly different (P = 0.37) between them. Diabetes mellitus (DM) (OR: 7.3, 95% CI, 1.3 - 41.7, P = 0.05), and using immunosuppressive drugs (ISD) (OR: 3.2, 95% CI, 1.1 - 11.5, P = 0.03) were two variables in association with non-response to HB vaccine. CONCLUSIONS: Non-response rate to HB vaccine in our study was approximately 6%. Age over 50 years, DM, and receiving immunosuppressive drugs may be considered as predictors for non-response to HB vaccine in medical staff.

Empyema Caused by Pseudomonas luteola: A Case Report.

INTRODUCTION: Pseudomonas luteola is an uncommon opportunistic pathogen. It is recognized as an uncommon cause of infections in underlying medical disorders. Infections caused by this microorganism are health care associated. CASE PRESENTATION: The current study isolated P. luteola from empyema in a patient with tuberculous pleurisy, whose susceptibility to trimethoprim-sulfamethoxazole differed from previous reports. CONCLUSIONS: P. luteola is resistant to TMP-SMX, but in the present case P. luteola was susceptible to TMP-SMX.