BACKGROUND: Despite 2.5 million infections and 169,000 deaths worldwide (as of April 20, 2020), no maternal deaths and only a few pregnant women afflicted with severe respiratory morbidity have been reported to be related to COVID-19 disease. Given the disproportionate burden of severe and fatal respiratory disease previously documented among pregnant women following other coronavirus-related outbreaks (SARS-CoV in 2003 and MERS-CoV in 2012) and influenza pandemics over the last century, the absence of reported maternal morbidity and mortality with COVID-19 disease is unexpected. OBJECTIVE: To describe maternal and perinatal outcomes and death in a case series of pregnant women with COVID-19 disease. STUDY DESIGN: We describe here a multiinstitution adjudicated case series from Iran that includes 9 pregnant women diagnosed with severe COVID-19 disease in their second or third trimester. All 9 pregnant women received a diagnosis of SARS-CoV-2 infection by reverse transcription polymerase chain reaction nucleic acid testing. Outcomes of these women were compared with their familial/household members with contact to the affected patient on or after their symptom onset. All data were reported at death or after a minimum of 14 days from date of admission with COVID-19 disease. RESULTS: Among 9 pregnant women with severe COVID-19 disease, at the time of reporting, 7 of 9 died, 1 of 9 remains critically ill and ventilator dependent, and 1 of 9 recovered after prolonged hospitalization. We obtained self-verified familial/household cohort data in all 9 cases, and in each and every instance, maternal outcomes were more severe compared with outcomes of other high-and low-risk familial/household members (n¼33 members for comparison). CONCLUSION: We report herein maternal deaths owing to COVID-19 disease. Until rigorously collected surveillance data emerge, it is prudent to be aware of the potential for maternal death among pregnant women diagnosed as having COVID-19 disease in their second or third trimester.

Factor XIII deficiency (FXIIID) is a rare bleeding disorder with an estimated prevalence of 1 in 2-million population worldwide. In Iran, a Middle Eastern country with a high rate of consanguineous marriages, there are approximately 473 patients afflicted with FXIIID. An approximately 12-fold higher prevalence of FXIIID is estimated in Iran in comparison with overall worldwide frequency. In this study, we have undertaken a comprehensive review on different aspects of FXIIID in the Iranian population. The distribution of this disease in different regions of Iran reveals that Sistan and Baluchestan Province has not only the highest number of patients with FXIIID in Iran but the highest global incidence of this condition. Among Iranian patients, umbilical cord bleeding, hematoma, and prolonged wound bleeding are the most frequent clinical manifestations. There are several disease causing mutations in Iranian patients with FXIIID, with Trp187Arg being the most common mutation in FXIIID in Iran. Traditionally, the management of FXIIID in Iran was only based on administration of fresh frozen plasma or cryoprecipitate, until 2009 when FXIII concentrate became available for patient management. Various studies have evaluated the efficacy and safety of prophylactic regimens in different situations with valuable findings. Although the focus of this study is on Iran, it offers considerable insight into FXIIID, which can be applied more extensively to improve the management and quality of life in all affected patients.

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The pandemic of novel coronavirus disease 2019 (COVID-19) has rampaged the world with more than 58.4 million confirmed cases and over 1.38 million deaths across the world by November 23, 2020. There is an urgent need to identify effective drugs and vaccines to fight against the virus. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) belongs to the family of coronaviruses consisting of four structural and 16 non-structured proteins. Three non-structural proteins such as main protease (Mpro), papain-like protease (PLpro), and RNA-dependent RNA polymerase (RdRp) are believed to play a crucial role in the virus replication. We applied a computational ligand-receptor binding modeling and performed a comprehensive virtual screening on the FDA-approved drugs against these three SARS-CoV-2 proteins using AutoDock Vina, Glide, and rDock. Our computational studies identified six novel ligands as potential inhibitors against SARS-CoV-2, including antiemetics Rolapitant and Ondansetron for Mpro; Labetalol and Levomefolic acid for PLpro; and Leucal and antifungal Natamycin for RdRp. Molecular dynamics simulation confirmed the stability of the ligand-protein complexes. The result of our analysis with some other suggested drugs indicated that chloroquine and hydroxychloroquine had high binding energy (low inhibitory effect) with all three proteins—Mpro, PLpro, and RdRp. In summary, our computational molecular docking approach and virtual screening identified some promising candidate SARS-CoV-2 inhibitors that may be considered for further clinical studies.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging new type of coronavirus that is responsible for the COVID-19 pandemic and the unprecedented global health emergency. Whole-genome sequencing (WGS) of SARS-CoV-2 plays a critical role in understanding the disease. Performance variation exists across SARS-CoV-2 viral WGS technologies, but there is currently no benchmarking study comparing different WGS sequencing protocols. We compared seven different SARS-CoV-2 WGS library protocols using RNA from patient nasopharyngeal swab samples under two storage conditions with low and high viral inputs. We found large differences in mappability and genome coverage, and variations in sensitivity, reproducibility and precision of single-nucleotide variant calling across different protocols. For certain amplicon-based protocol, appropriate primer trimming step is critical for accurate single-nucleotide variant calling. We ranked the performance of protocols based on six different metrics. Our findings offer guidance in choosing appropriate WGS protocols to characterize SARS-CoV-2 and its evolution.