Delaying surgery for patients with a previous SARS-CoV-2 infection.
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ABSTRACT:
SUBMITTER: COVIDSurg Collaborative
PROVIDER: S-EPMC7537063 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Background The appropriate timing of surgery and perioperative management of patients with previous SARS-CoV-2 infection are open issues. The purpose of this document is to support the clinical decision-making process regarding the patient with previous Sars-CoV-2 infection to undergo elective surgery. The recipients of this document are physicians, nurses, healthcare personnel, and other professionals involved in the patient’s surgical process. Methods The Italian Society of Anesthesia Analgesia Resuscitation and Intensive Care (SIAARTI) selected 11 experts to reach a consensus on key aspects of this theme in adult and pediatric population. The methods of this process document were in accordance to the principles of rapid review of the scientific literature and modified Delphi method. The experts produced statements and supporting reasons in the form of an informative text. The overall list of statements was subjected to a vote in order to express the degree of consent. Results Patients should not undergo elective surgery within 7 weeks of infection unless there is the risk of a negative evolution of the disease. To mitigate the risk of postsurgical mortality, a multidisciplinary approach seemed useful in addition to the use of validated algorithms to estimate the risk of perioperative morbidity and mortality; the risk related to SARS-CoV-2 infection should be added. The risk of potential nosocomial contagion from a positive patients should also be considered when deciding to proceed with surgery. Most of the evidence came from previous SARS-CoV-2 variants, so the evidence should be considered indirect. Conclusion A balanced preoperative multidisciplinary risk–benefit evaluation is needed in patients with previous infection by SARS-CoV-2 for elective surgery. Supplementary Information The online version contains supplementary material available at 10.1186/s44158-022-00058-3.
| S-EPMC9214464 | biostudies-literature
Project description:BackgroundThere is currently no consensus on the diagnosis, definition, symptoms, or duration of COVID-19 illness. The diagnostic complexity of Long COVID is compounded in many patients who were or might have been infected with SARS-CoV-2 but not tested during the acute illness and/or are SARS-CoV-2 antibody negative.MethodsGiven the diagnostic conundrum of Long COVID, we set out to investigate SARS-CoV-2-specific T cell responses in patients with confirmed SARS-CoV-2 infection and/or Long COVID from a cohort of mostly non-hospitalised patients.FindingsWe discovered that IL-2 release (but not IFN-γ release) from T cells in response to SARS-CoV-2 peptides is both sensitive (75% +/-13%) and specific (88%+/-7%) for previous SARS-CoV-2 infection >6 months after a positive PCR test. We identified that 42-53% of patients with Long COVID, but without detectable SARS-CoV-2 antibodies, nonetheless have detectable SARS-CoV-2 specific T cell responses.InterpretationOur study reveals evidence (detectable T cell mediated IL-2 release) of previous SARS-CoV-2 infection in seronegative patients with Long COVID.FundingThis work was funded by the Addenbrooke's Charitable Trust (900276 to NS), NIHR award (G112259 to NS) and supported by the NIHR Cambridge Biomedical Research Centre. NJM is supported by the MRC (TSF MR/T032413/1) and NHSBT (WPA15-02). PJL is supported by the Wellcome Trust (PRF 210688/Z/18/Z, 084957/Z/08/Z), a Medical Research Council research grant MR/V011561/1 and the United Kingdom Research and a Innovation COVID Immunology Consortium grant (MR/V028448/1).
| S-EPMC9235296 | biostudies-literature
Project description:BackgroundThe process of reintroducing bariatric surgery to our communities in a COVID-19 environment was particular to each country. Furthermore, no clear recommendation was made for patients with a previous COVID-19 infection and a favorable outcome who were seeking bariatric surgery.ObjectivesTo analyze the risks of specific complications for patients with previous COVID-19 infection who were admitted for bariatric surgery.SettingEight high-volume private centers from 5 countries.MethodsAll patients with morbid obesity and previous COVID-19 infection admitted for bariatric surgery were included in the current study. Patients were enrolled from 8 centers and 5 countries, and their electronic health data were reviewed retrospectively. The primary outcome was to identify early (<30 d) specific complications related to COVID-19 infection following bariatric surgery, and the secondary outcome was to analyze additional factors from work-ups that could prevent complications.ResultsThirty-five patients with a mean age of 40 years (range, 21-68 yr) and a mean body mass index of 44.3 kg/m2 (±7.4 kg/m2) with previous COVID-19 infection underwent different bariatric procedures: 23 cases of sleeve (65.7 %), 7 cases of bypass, and 5 other cases. The symptomatology of the previous COVID-19 infection varied: 15 patients had no symptoms, 12 had fever and respiratory signs, 5 had only fever, 2 had digestive symptoms, and 1 had isolated respiratory signs. Only 5 patients (14.2 %) were hospitalized for COVID-19 infection, for a mean period of 8.8 days (range, 6-15 d). One patient was admitted to an intensive care unit and needed invasive mechanical ventilation. The mean interval time from COVID-19 infection to bariatric surgery was 11.3 weeks (3-34 wk). The mean hospital stay was 1.7 days (±1 d), and all patients were clinically evaluated 1 month following the bariatric procedure. There were 2 readmissions and 1 case of complication: that case was of a gastric leak treated with laparoscopic drainage and a repeated pigtail drain, with a favorable outcome. No cases of other specific complications or mortality were recorded.ConclusionMinor and moderate COVID-19 infections, especially the forms not complicated with invasive mechanical ventilation, should not preclude the indication for bariatric surgery. In our experience, a prior COVID-19 infection does not induce additional specific complications following bariatric surgery.
| S-EPMC8024220 | biostudies-literature
Project description: Not available
| S-EPMC7229918 | biostudies-literature
Project description:Dysregulated immune responses contribute to the excessive and uncontrolled inflammation observed in severe COVID-19. However, how immunity to SARS-CoV-2 is induced and regulated remains unclear. Here we uncover a role of the complement system in the induction of innate and adaptive immunity to SARS-CoV-2. Complement rapidly opsonizes SARS-CoV-2 particles via the lectin pathway. Complement-opsonized SARS-CoV-2 efficiently induces type-I interferon and pro-inflammatory cytokine responses via activation of dendritic cells, which are inhibited by antibodies against the complement receptors (CR) 3 and 4. Serum from COVID-19 patients, or monoclonal antibodies against SARS-CoV-2, attenuate innate and adaptive immunity induced by complement-opsonized SARS-CoV-2. Blocking of CD32, the FcγRII antibody receptor of dendritic cells, restores complement-induced immunity. These results suggest that opsonization of SARS-CoV-2 by complement is involved in the induction of innate and adaptive immunity to SARS-CoV-2 in the acute phase of infection. Subsequent antibody responses limit inflammation and restore immune homeostasis. These findings suggest that dysregulation of the complement system and FcγRII signaling may contribute to severe COVID-19.
| S-SCDT-10_1038-S44318-024-00061-0 | biostudies-other
Project description:To explore the relationship between SARS-CoV-2 infection in different time before operation and postoperative main complications (mortality, main pulmonary and cardiovascular complications) 30 days after operation; To determine the best timing of surgery after SARS-CoV-2 infection.
| 12454 | ecrin-mdr-crc
Project description:BackgroundThe relationship of vitamin D status and other biochemical parameters with the risk of SARS-CoV-2 infection remains inconclusive, especially in regions with high solar incidence. Therefore, we aimed to associate the 25-hydroxyvitamin D (25(OH)D) concentrations and lipid profile prior to the SARS-CoV-2 tests in a population from a sunny region in Brazil (5 degrees S, 35 degrees W).MethodsThis retrospective cohort study enrolled 1634 patients tested for SARS-CoV-2 of a private medical laboratory with 25(OH)D concentration and lipid profile measured ≥ 7 days before the date of the first SARS-CoV-2 RT-PCR test and were categorized according to 25(OH)D sufficiency (≥30 ng/mL) or insufficiency (<30 ng/mL). Multiple logistic regression analyses were performed to assess risk factors associated with positive tests for SARS-CoV-2.ResultsAverage serum 25(OH)D was 33.6 ng/mL. Vitamin D deficiency (<20 ng/mL) was only found in 2.6% of the participants. Multivariate analysis demonstrated that patients > 49 y with insufficient 25(OH)D (<30 ng/mL) presented increased odds to test positive for SARS-CoV-2 (OR: 2.02, 95 %CI: 1.15 to 3.55, P = 0.015). The same is observed among those with total cholesterol > 190 mg/dL (OR: 1.90, 95 %CI: 1.10 to 3.28, P = 0.020).ConclusionsPrevious insufficient 25(OH)D (<30 ng/mL) concentration and high total cholesterol were associated with SARS-CoV-2 infection among adults > 48 y in the study population. Further studies should be conducted to confirm whether measurement of 25(OH)D and lipid profile could be useful to identify patients who are more susceptible to COVID-19.
| S-EPMC8340549 | biostudies-literature
Project description:HAE cultures were infected with SARS-CoV, SARS-dORF6 or SARS-BatSRBD and were directly compared to A/CA/04/2009 H1N1 influenza-infected cultures. Cell samples were collected at various hours post-infection for analysis. Time Points = 0, 12, 24, 36, 48, 60, 72, 84 and 96 hrs post-infection for SARS-CoV, SARS-dORF6 and SARS-BatSRBD. Time Points = 0, 6, 12, 18, 24, 36 and 48 hrs post-infection for H1N1. Done in triplicate or quadruplicate for RNA Triplicates/quadruplicates are defined as 3/4 different wells, plated at the same time and using the same cell stock for all replicates. Time matched mocks done in triplicate from same cell stock as rest of samples. Culture medium (the same as what the virus stock is in) will be used for the mock infections. Infection was done at an MOI of 2.
2013-07-31 | E-GEOD-47960 | biostudies-arrayexpress
Project description:HAE cultures were infected with SARS-CoV, SARS-ddORF6 or SARS-BatSRBD and were directly compared to A/CA/04/2009 H1N1 influenza-infected cultures. Cell samples were collected at various hours post-infection for analysis. Time Points = 0, 12, 24, 36, 48, 60, 72, 84 and 96 hrs post-infection for SARS-CoV. Time Points = 0, 24, 48, 60, 72, 84 and 96 hrs post-infection forSARS-ddORF6 and SARS-BatSRBD. Time Points = 0, 6, 12, 18, 24, 36 and 48 hrs post-infection for H1N1. Done in triplicate/quadruplicate for RNA Triplicates/quadruplicates are defined as 3/4 different wells, plated at the same time and using the same cell stock for all replicates. Time matched mocks done in triplicate from same cell stock as rest of samples. Culture medium (the same as what the virus stock is in) will be used for the mock infections. Infection was done at an MOI of 2.
2013-07-31 | E-GEOD-47961 | biostudies-arrayexpress
Project description:HAE cultures were infected with SARS-CoV, SARS-dORF6 or SARS-BatSRBD and were directly compared to A/CA/04/2009 H1N1 influenza-infected cultures. Cell samples were collected at various hours post-infection for analysis. Time Points = 0, 12, 24, 36, 48, 60, 72, 84 and 96 hrs post-infection for SARS-CoV, SARS-dORF6 and SARS-BatSRBD. Time Points = 0, 6, 12, 18, 24, 36 and 48 hrs post-infection for H1N1. Done in triplicate for RNA Triplicates are defined as 3 different wells, plated at the same time and using the same cell stock for all replicates. Time matched mocks done in triplicate from same cell stock as rest of samples. Culture medium (the same as what the virus stock is in) will be used for the mock infections. Infection was done at an MOI of 2 for SARS viruses and an MOI of 1 for H1N1.
2013-07-31 | E-GEOD-47962 | biostudies-arrayexpress