COVID-19 (SARS-CoV-2) in Non-Airborne body fluids: A systematic review & Meta-analysis

Viral load of SARS-CoV-2 in surgical smoke in minimally invasive and open surgery: a single-center prospective clinical trial

At the beginning of the COVID-19 pandemic, it was assumed that SARS-CoV-2 could be transmitted through surgical smoke generated by electrocauterization. Minimally invasive surgery (MIS) was targeted due to potentially higher concentrations of the SARS-CoV-2 particles in the pneumoperitoneum. Some surgical societies even recommended open surgery instead of MIS to prevent the potential spread of SARS-CoV-2 from the pneumoperitoneum. This study aimed to detect SARS-CoV-2 in surgical smoke during open and MIS. Patients with SARS-CoV-2 infection who underwent open surgery or MIS at Heidelberg University Hospital were included in the study. A control group of patients without SARS-CoV-2 infection undergoing MIS or open surgery was included for comparison. The trial was approved by the Ethics Committee of Heidelberg University Medical School (S-098/2021). The following samples were collected: nasopharyngeal and intraabdominal swabs, blood, urine, surgical smoke, and air samples from the operating room. An SKC BioSampler was used to sample the surgical smoke from the pneumoperitoneum during MIS and the approximate surgical field during open surgery in 15 ml of sterilized phosphate-buffered saline. An RT-PCR test was performed on all collected samples to detect SARS-CoV-2 viral particles. Twelve patients with proven SARS-CoV-2 infection underwent open abdominal surgery. Two SARS-CoV-2-positive patients underwent an MIS procedure. The control group included 24 patients: 12 underwent open surgery and 12 MIS. One intraabdominal swab in a patient with SARS-CoV-2 infection was positive for SARS-CoV-2. However, during both open surgery and MIS, none of the surgical smoke samples showed any detectable viral particles of SARS-CoV-2. The air samples collected at the end of the surgical procedure showed no viral particles of SARS-CoV-2. Major complications (CD ≥ IIIa) were more often observed in SARS-CoV-2 positive patients (10 vs. 4, p = 0.001). This study showed no detectable viral particles of SARS-CoV-2 in surgical smoke sampled during MIS and open surgery. Thus, the discussed risk of transmission of SARS-CoV-2 via surgical smoke could not be confirmed in the present study.

The safety of digestive tract cancer surgery during COVID-19: A living systematic review and meta-analysis

Surgery is the primary curative treatment of solid cancers. However, its safety has been compromised by the outbreak of COVID-19. Therefore, it is necessary to evaluate the safety of digestive tract cancer surgery in the context of COVID-19. We used the Review Manager software (v.5.4) and Stata software (version 16.0) for meta-analysis and statistical analysis. Sixteen retrospective studies involving 17,077 patients met the inclusion criteria. The data indicates that performing digestive tract cancer surgery during the COVID-19 pandemic led to increased blood loss(MD = -11.31, 95%CI:-21.43 to -1.20, P = 0.03), but did not increase postoperative complications(OR = 1.03, 95%CI:0.78 to1.35, P = 0 0.86), anastomotic leakage (OR = 0.96, 95%CI:0.52 to1.77, P = 0 0.89), postoperative mortality (OR = 0.65, 95%CI:0.40 to1.07, P = 0 0.09), number of transfusions (OR = 0.74, 95%CI:0.30 to 1.80, P = 0.51), number of patients requiring ICU care(OR = 1.37, 95%CI:0.90 to 2.07, P = 0.14), postoperative 30-d readmission (OR = 0.94, 95%CI:0.82 to 1.07, P = 0 0.33), total hospital stay (MD = 0.11, 95%CI:-2.37 to 2.59, P = 0.93), preoperative waiting time(MD = - 0.78, 95%CI:-2.34 to 0.79, P = 0.33), postoperative hospital stay(MD = - 0.44, 95%CI:-1.61 to 0.74, P = 0.47), total operation time(MD = -12.99, 95%CI:-28.00 to 2.02, P = 0.09) and postoperative ICU stay (MD = - 0.02, 95%CI:-0.62 to 0.57, P = 0.94). Digestive tract cancer surgery can be safely performed during the COVID-19.

Investigation of SARS-CoV-2 using RT-PCR in vaginal swab samples of female patients with a diagnosis of severe COVID-19

OBJECTIVE

It is important to determine the presence of SARS-CoV-2 in the vaginal fluid samples of reproductive-aged women with severe disease during the acute stage of the disease and to determine the risks of transmission by sexual or vertical transmission.

MATERIAL AND METHODS

Adult women with confirmed severe COVID-19 who were admitted to Ankara City Hospital intensive care unit (ICU) between December 1st, 2020, and January 1st, 2021, were enrolled in the study. Vaginal swab samples were collected within 48 h in the ICU using Dacron or rayon swabs and tested for SARS-CoV-2 using reverse transcription real-time polymerase chain reaction (RT PCR).

RESULTS

Thirty women of reproductive age were included in the study, five (16.7%) of whom were pregnant. The mean age was 44.9 (±10.5) years. The most common symptoms were headache (100%), muscle soreness (86.7%), cough (76.7%), fever (60%), and nausea and vomiting (20%). Nineteen (63.3%) patients had underlying medical conditions. The time interval from obtaining vaginal swab samples to admission to the ICU was 48 h. The time between vaginal sampling and PCR positivity ranged from 2 to 18 days. SARS-CoV-2 was not detected in any vaginal samples.

CONCLUSION

Our study showed that women with severe COVID-19 did not have SARS-CoV-2 in their vaginal fluids. Investigation of the presence of SARS-CoV-2 in vaginal secretions may help in determining the risks of sexual transmission and vertical transmission from mother to baby. Information on this subject is still limited. Larger studies on comprehensive biological samples are needed.

Diagnostic performance of corona virus disease 2019 chest computer tomography image recognition based on deep learning: Systematic review and meta-analysis

BACKGROUND

To analyze the diagnosis performance of deep learning model used in corona virus disease 2019 (COVID-19) computer tomography(CT) chest scans. The included sample contains healthy people, confirmed COVID-19 patients and unconfirmed suspected patients with corresponding symptoms.

METHODS

PubMed, Web of Science, Wiley, China National Knowledge Infrastructure, WAN FANG DATA, and Cochrane Library were searched for articles. Three researchers independently screened the literature, extracted the data. Any differences will be resolved by consulting the third author to ensure that a highly reliable and useful research paper is produced. Data were extracted from the final articles, including: authors, country of study, study type, sample size, participant demographics, type and name of AI software, results (accuracy, sensitivity, specificity, ROC, and predictive values), other outcome(s) if applicable.

RESULTS

Among the 3891 searched results, 32 articles describing 51,392 confirmed patients and 7686 non-infected individuals met the inclusion criteria. The pooled sensitivity, the pooled specificity, positive likelihood ratio, negative likelihood ratio and the pooled diagnostic odds ratio (OR) is 0.87(95%CI [confidence interval]: 0.85, 0.89), 0.85(95%CI: 0.82, 0.87), 6.7(95%CI: 5.7, 7.8), 0.14(95%CI: 0.12, 0.16), and 49(95%CI: 38, 65). Further, the AUROC (area under the receiver operating characteristic curve) is 0.94(95%CI: 0.91, 0.96). Secondary outcomes are specific sensitivity and specificity within subgroups defined by different models. Resnet has the best diagnostic performance, which has the highest sensitivity (0.91[95%CI: 0.87, 0.94]), specificity (0.90[95%CI: 0.86, 0.93]) and AUROC (0.96[95%CI: 0.94, 0.97]), according to the AUROC, we can get the rank Resnet > Densenet > VGG > Mobilenet > Inception > Effficient > Alexnet.

CONCLUSIONS

Our study findings show that deep learning models have immense potential in accurately stratifying COVID-19 patients and in correctly differentiating them from patients with other types of pneumonia and normal patients. Implementation of deep learning-based tools can assist radiologists in correctly and quickly detecting COVID-19 and, consequently, in combating the COVID-19 pandemic.

COVID-19 mRNA vaccines have no effect on endometrial receptivity after euploid embryo transfer

RESEARCH QUESTION

Does the COVID-19 vaccination affect endometrial receptivity after single euploid embryo transfer, measured by sustained implantation rate?

DESIGN

A retrospective cohort study analysing two groups of single euploid embryo transfers using own oocytes: one historical cohort of 3272 transfers 1 year before the pandemic; and one comprising 890 transfers in women previously vaccinated with mRNA vaccines against severe acute respiratory syndrome coronavirus 2. The main outcomes were clinical pregnancy rate (CPR) and sustained implantation rate (SIR) per embryo transfer. These outcomes were compared between non-vaccinated and vaccinated women, and women who had received one and two doses. Lastly, vaccinated women were divided into quartiles according to the time from last dose to embryo transfer.

RESULTS

Similar CPR and SIR were found between non-vaccinated and vaccinated women, and the odds ratio for both outcomes was not statistically significant after being controlled for potential confounders (OR 0.937, 95% CI 0.695 to 1.265 and OR 0.910, 95% CI 0.648 to 1.227 respectively). Within the vaccinated group, women who had received one or two doses also had similar outcomes. In addition, no differences were found according to the time interval from vaccination to embryo transfer.

CONCLUSION

The administration of mRNA vaccines against COVID-19 had no effect on endometrial receptivity and embryo implantation, regardless of the number of doses and time interval from vaccination to embryo transfer. The potential negative effect of the vaccine on endometrial receptivity and reproductive outcomes is reassuring for patients in the process of undergoing assisted reproductive treatment.

Safe Surgery During the COVID-19 Pandemic

PURPOSE OF REVIEW

Coronavirus Disease-2019 (COVID-19) has had an enormous impact on all aspects of healthcare, but its effect on patients needing surgery and surgeons has been disproportionate. In this review, we aim to understand the impact of the pandemic on surgical patients and teams. We compiled the emerging data on pre-operative screening methods, vaccinations, safe-surgery pathways and surgical techniques and make recommendations for evidence-based safe-surgical pathways. We also present surgical outcomes for emergency, oncological and benign surgery in the context of the pandemic. Finally, we attempt to address the impact of the pandemic on patients, staff and surgical training and provide perspectives for the future.

RECENT FINDINGS

Surgical teams have developed consensus guidelines and established research priorities and safety precautions for surgery during the COVID-19 pandemic. Evidence supports that surgery in patients with a peri-operative SARS-CoV-2 infection carries substantial risks, but risk mitigation strategies are effective at reducing harm to staff and patients. Surgery has increased risk for patients and staff, but this can be mitigated effectively, especially for elective surgery. Elective surgery can be safely performed during the COVID-19 pandemic employing the strategies discussed in this review.

What we know and dont know on SARS-CoV-2 and COVID-19

Coronavirus disease 2019 (COVID-19), caused by the SARS-CoV-2 virus discovered in December 2019 in Wuhan, China, has had an enormous impact on public health worldwide due to its rapid spread and pandemic behavior, challenges in its control and mitigation, and few therapeutic alternatives. In this review, we summarize the pathophysiological mechanisms, clinical presentation, and diagnostic techniques. In addition, the main lineages and the different strategies for disease prevention are reviewed, with emphasis on the development of vaccines and their different platforms. Finally, some of the currently available therapeutic strategies are summarized. Throughout the article, we point out the current knowns and unknowns at the time of writing this article.