No Impact of Corticosteroid Use During the Acute Phase on Persistent Symptoms Post-COVID-19.

Persistent COVID-19 symptoms may be related to residual inflammation, but no preventive treatment has been evaluated. This study aimed to analyze, in a prospective cohort, whether corticosteroid use in the acute phase of COVID-19 in hospitalized patients may reduce the risk of persistent COVID-19 symptoms. A total of 306 discharged patients, including 112 (36.6%) from the ICU, completed a structured face-to-face assessment 4 months after admission. Of these, 193 patients (63.1%) had at least one persistent symptom, mostly dyspnea (38.9%) and asthenia (37.6%). One-hundred and four patients have received corticosteroids. In multivariable adjusted regression analysis, corticosteroid use was not associated with the presence of at least one symptom (OR=1.00, 95% CI: 0.58-1.71, p=0.99) or with the number of persistent symptoms (p=0.74). Corticosteroid use remained ineffective when analyzing the ICU subpopulation separately. Our study suggests that corticosteroid use had no impact on persistent symptoms after COVID-19 in discharged patients.

Number of initial symptoms is more related to long COVID-19 than acute severity of infection: a prospective cohort of hospitalized patients.

OBJECTIVES: Post-COVID-19 symptoms experienced by many survivors have a further devastating effect. This study aimed to analyze the risk factors associated with long COVID-19 in a prospective cohort of hospitalized patients including those requiring intensive care unit (ICU) transfer, taking into account objective measures of COVID-19 severity. METHODS: Hospitalized patients with confirmed COVID-19 were enrolled. A structured follow-up visit was performed 4 months after hospital admission. Multivariable adjusted regression models were used to analyse the association between parameters at the acute phase and persistent symptoms. RESULTS: A follow-up visit was performed in 316 patients including 115 (36.4%) discharged from the ICU. Mean age was 64.1 years, and 201 patients (58.3%) were men. Female sex (odds ratio [OR], 1.94; 95% confidence interval [CI], 1.17-3.22; P =.01), hypertension (OR, 2.01; 95% CI, 1.22-3.31; P <.01), and the number of initial symptoms (NIS) (OR, 1.35; 95% CI, 1.17-1.54; P <.001) were significantly associated with long COVID-19. Number of persistent symptoms was significantly associated with NIS (adjusted incidence rate ratio [aIRR], 1.16; 95% CI, 1.11-1.22; P <.001), female sex (aIRR, 1.56; 95% CI 1.29-1.87; P <.001), hypertension (aIRR, 1.23; 95% CI, 1.02-1.50; P =.03), and length of stay in hospital (aIRR, 1.01; 95% CI, 1.005-1.017; P <.001). CONCLUSION: Our study suggested that female sex, hypertension, and NIS had a significant impact on persistent symptoms in hospitalized patients in contrast to severity of acute COVID-19 infection.

Monitoring the SARS-CoV-2 pandemic: screening algorithm with single nucleotide polymorphism detection for the rapid identification of established and emerging variants.

OBJECTIVES: To evaluate a testing algorithm for the rapid identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants that includes the use of PCR-based targeted single nucleotide polymorphism (SNP) detection assays preceded by a multiplex PCR sensitive to S-Gene Target Failure (SGTF). METHODS: PCR SNP assays targeting SARS-CoV-2 S-gene mutations ΔH69-V70, L452R, E484K, N501Y, H655Y and P681R using melting curve analysis were performed on 567 samples in which SARS-CoV-2 viral RNA was detected by a multiplex PCR. Viral whole-genome sequencing (WGS) was performed to confirm the presence of SNPs and to identify the Pangolin lineage. Additionally, 1133 SARS-CoV-2 positive samples with SGTF were further assessed by WGS to determine the presence of ΔH69-V70. RESULTS: The N501Y-specific assay (n = 567) had an overall percentage agreement (OPA) of 98.5%. The ΔH69-V70-specific (n = 178) and E484K-specific (n = 401) assays had OPA of 96.6% and 99.7%, respectively. Assessment of H655Y (n = 139) yielded a 100.0% concordance when applied in the proposed algorithm. The L452R-specific (n = 67) and P681R-specific (n = 62) assays had an OPA of 98.2% and 98.1%, respectively. The proposed algorithm identified six variants of concern/interest (VOC/VOI)-Alpha (n = 149), Beta (n = 65), Gamma (n = 86), Delta (n = 49), Eta (n = 6), Kappa (n = 6)-and 205 non-VOC/VOI strains-including the variants under monitoring B.1.214.2 (n = 43) and B.1.1.318 (n = 18) and Epsilon (n = 1). An excellent concordance was observed for the identification of all SARS-CoV-2 lineages evaluated. CONCLUSIONS: We present a flexible testing algorithm for the rapid detection of current and emerging SARS-CoV-2 VOC/VOIs, which can be easily adapted based on the local endemicity of specific variants.

Answering the Call: Impact of Tele-ICU Nurses During the COVID-19 Pandemic.

BACKGROUND: The coronavirus disease 2019 pandemic has exacerbated staffing challenges already facing critical care nurses in intensive care units. Many intensive care units have been understaffed and the majority of nurses working in these units have little experience. OBJECTIVE: To describe how the skilled tele-intensive care unit nurses in our health system quickly changed from a patient-focused strategy to a clinician-focused approach during the coronavirus disease 2019 crisis. METHODS: We modified workflows, deployed home workstations, and changed staffing models with the goal of providing additional clinical support to bedside colleagues while reducing exposure time and conserving personal protective equipment for those caring for this highly contagious patient population. The unit changed focus and granted more than 300 clinicians access to technology that enabled them to care for patients remotely, added nearly 200 mobile carts, and allowed more than 20 tele-intensive care unit nurses to work from home. RESULTS: Tele-intensive care unit nursing provided clinical knowledge to the nurses covering current and expanded critical care units. Using technology, virtual rounding, and increased collaboration with nurses, tele-intensive care unit nursing minimized the risk to bedside nurses while maintaining a high level of care for patients. CONCLUSION: Tele-intensive care unit nurses provided a proactive, holistic approach to caring for critically ill patients via camera as part of their routine workflow. In addition, during the coronavirus disease 2019 pandemic, these nurses created a new strategy in virtual health care to be implemented during a crisis.