Use of Impella Devices for Acute Cardiogenic Shock in the Perioperative Period of Cardiac Surgery.

INTRODUCTION: The Impella ventricular support system is a device that can be inserted percutaneously or directly across the aortic valve to unload the left ventricle. The purpose of this study is to determine the role of Impella devices in patients with acute cardiogenic shock in the perioperative period of cardiac surgery. METHODS: A retrospective single-surgeon review of 11 consecutive patients who underwent placement of Impella devices in the perioperative period of cardiac surgery was performed. Patient records were evaluated for demographics, indications for placement, and postoperative outcomes. RESULTS: Impella devices were placed for refractory cardiogenic shock preoperatively in 6 patients, intraoperatively in 4 patients, and postoperatively as a rescue in 1 patient. Seven patients received Impella CP, 1 Impella RP, 1 Impella CP and RP, and 2 Impella 5.0. Additionally, 3 patients required preoperative venovenous extracorporeal membrane oxygenation (VV-ECMO), and 1 patient required intraoperative venoarterial extracorporeal membrane oxygenation (VA-ECMO). All Impella devices were removed 1 to 28 days after implantation. Length of stay in the intensive care unit stay ranged from 2 to 53 days (average 23.9±14.6). The 30-day and 1-year mortality were 0%. Ten of 11 patients were alive at 2 years. Also, 1 patient died 18 months after surgery from complications of coronavirus disease (Covid-19). Device-related complications included varying degrees> of hemolysis in 8 patients (73%) and device malfunction in 1 patient (9%). CONCLUSIONS: The Impella ventricular support system can be combined with other mechanical support devices for additional hemodynamic support. All patients demonstrated myocardial recovery with no deaths in the perioperative period and in 1-year of follow-up. Larger studies are necessary to validate these findings.

Occupational exposure to severe acute respiratory coronavirus virus 2 (SARS-CoV-2) and risk of infection among healthcare personnel.

OBJECTIVE: To assess the rate and factors associated with healthcare personnel (HCP) testing positive for severe acute respiratory coronavirus virus 2 (SARS-CoV-2) after an occupational exposure. DESIGN: Retrospective cohort study. SETTING: Academic medical center with sites in Minnesota, Wisconsin, Arizona, and Florida. PARTICIPANTS: HCP with a high or medium risk occupational exposure to a patient or other HCP with SARS-CoV-2. METHODS: We reviewed the records of HCP with significant occupational exposures from March 20, 2020, through December 31, 2020. We then performed regression analysis to assess the impact of demographic and occupational variables to assess their impact on the likelihood of testing positive for SARS-CoV-2. RESULTS: In total, 2,253 confirmed occupational exposures occurred during the study period. Employees were the source for 57.1% of exposures. Overall, 101 HCP (4.5%) tested positive in the postexposure period. Of these, 80 had employee sources of exposure and 21 had patient sources of exposure. The postexposure infection rate was 6.2% when employees were the source, compared to 2.2% with patient sources. In a multivariate analysis, occupational exposure from an employee source had a higher risk of testing positive compared to a patient source (odds ratio [OR], 3.22; 95% confidence interval [CI], 1.72-6.04). Sex, age, high-risk exposure, and HCP role were not associated with an increased risk of testing positive. CONCLUSIONS: The risk of acquiring coronavirus disease 2019 (COVID-19) following a significant occupational exposure has remained relatively low, even in the prevaccination era. Exposure to an infectious coworker carries a higher risk than exposure to a patient. Continued vigilance and precautions remain necessary in healthcare settings.

Impact of a High-Risk, Ambulatory COVID-19 Remote Patient Monitoring Program on Utilization, Cost, and Mortality.

OBJECTIVE: To evaluate care utilization, cost, and mortality among high-risk patients enrolled in a coronavirus disease 2019 (COVID-19) remote patient monitoring (RPM) program. METHODS: This retrospective analysis included patients diagnosed with COVID-19 at risk for severe disease who enrolled in the RPM program between March 2020 and October 2021. The program included in-home technology for symptom and physiologic data monitoring with centralized care management. Propensity score matching established matched cohorts of RPM-engaged (defined as ≥1 RPM technology interactions) and non-engaged patients using a logistic regression model of 59 baseline characteristics. Billing codes and the electronic death certificate system were used for data abstraction from the electronic health record and reporting of care utilization and mortality endpoints. RESULTS: Among 5796 RPM-enrolled patients, 80.0% engaged with the technology. Following matching, 1128 pairs of RPM-engaged and non-engaged patients comprised the analysis cohorts. Mean patient age was 63.3 years, 50.9% of patients were female, and 81.9% were non-Hispanic White. Patients who were RPM-engaged experienced significantly lower rates of 30-day, all-cause hospitalization (13.7% vs 18.0%, P=.01), prolonged hospitalization (3.5% vs 6.7%, P=.001), intensive care unit admission (2.3% vs 4.2%, P=.01), and mortality (0.5% vs 1.7%; odds ratio, 0.31; 95% CI, 0.12 to 0.78; P=.01), as well as cost of care ($2306.33 USD vs $3565.97 USD, P=0.04), than those enrolled in RPM but non-engaged. CONCLUSION: High-risk COVID-19 patients enrolled and engaged in an RPM program experienced lower rates of hospitalization, intensive care unit admission, mortality, and cost than those enrolled and non-engaged. These findings translate to improved hospital bed access and patient outcomes.

Coworkers are more likely than patients to transmit SARS-CoV-2 infection to healthcare personnel.

OBJECTIVES: To compare the impact of occupational exposures to SARS-CoV-2 positive patients and SARS-CoV-2 positive coworkers, by comparing the frequency of occupational exposure incidents and the rate of healthcare personnel (HCP) who developed a positive PCR test for SARS-COV-2 after occupational exposure to the two different types of infectious individuals. METHODS: A retrospective analysis of all confirmed higher risk occupational exposure incidents that occurred in HCP from 20 March 2020 to 31 December 2020 at a large multisite US academic medical centre. Comparisons between groups for source type were performed using unpaired Student's t-test for continuous variables and the χ2 test for categorical variables, regression analysis was conducted to assess the associations between source type and risk of positive COVID-19 test after occupational exposure. RESULTS: In total, 2253 confirmed medium or high-risk occupational exposures occurred during the study period. 57% were exposures from coworker sources. Each source individual exposed a mean of 2.6 (95% CI 2.3 to 2.9) HCP; during postexposure surveillance, 4.5% of exposed HCP tested positive within 14 days. A coworker source on average exposed 2.2 (95% CI 2.01 to 2.4) other HCP and infected 0.14 (95% CI 0.1 to 0.17) HCP, while patient sources exposed a mean of 3.4 (95% CI 2.6 to 4.2) HCP but only infected 0.07 (95% CI 0.04 to 0.11) HCP. The multivariate analysis demonstrated that exposure to a coworker source carried a higher risk of testing positive compared with exposure to a patient source (OR 3.22; 95% CI 1.72 to 6.04). CONCLUSION: Occupational exposures to coworker sources were not only more frequent but also associated with triple the risk of developing COVID-19 infection, compared with exposures to patient sources.

Creation of a Proof-of-Concept 3D-Printed Spinal Lateral Access Simulator.

Background Minimally invasive lateral lumbar interbody fusion (LLIF) offers advantages over traditional approaches, providing indirect decompression of neural elements and deformity correction while avoiding many challenges and risks of anterior and posterior approaches. Mastering this technique requires a specialized team, advanced equipment, and sufficient case exposure. Current training is limited to the classic educational model, and alternative training methods such as cadaver labs can be inconvenient, inaccessible, expensive, and incompatible with intraoperative neuromonitoring (IONM) systems. Objective The aim of this study was to create a proof-of-concept, low-cost, fully synthetic lateral lumbar surgical simulator and to increase awareness of the lack of current training alternatives. Methods Standard engineering design and expert interviews of attending neurosurgeons, nurses, engineers, and medical device representatives (n=20) were utilized to determine key elements for the simulator, physical characteristics of the components, and translational strategy. Physical and radiographic testing was performed on multiple thermoplastics to determine appropriateness for inclusion in the simulator. For evaluation of the concept, a descriptive slide deck and questionnaire were sent to 15 U.S. and 15 international surgeons who perform LLIF. Results The lateral access training model (LATM) features the following three components: torso casing, spine module, and IONM feature. This model utilizes operable ABS (acrylonitrile butadiene styrene) 3D-printed lumbar vertebrae, verified for anatomical accuracy and compatibility with fluoroscopy. Additionally, a novel neuromonitoring simulation algorithm was developed to train junior residents on neurological complications. To further highlight the need for lateral training models, 30/30 polled surgeons felt that this simulator has value for the field, 29/30 noted that they would have used the LATM if they had access during training, and 30/30 responded that they would encourage trainees to practice on the LATM. Conclusion The LATM is a first step to provide reliable and inexpensive basic lateral lumbar spine training. While this model is lacking some anatomical features, our simulator offers novel training elements for lateral lumbar transpsoas approaches, which lay the foundation for future models to be built. The need for this training exists, and current gaps in the approach to learning these complex techniques need to be filled due to the inconvenience, cost, and impracticability of standard cadaveric models.

Disparities in COVID-19 vaccine uptake among health care workers.

BACKGROUND: COVID-19 vaccine uptake by healthcare workers (HCWs) is critical to protect HCWs, the patients they care for, and the healthcare infrastructure. Our study aims to examine the actual COVID-19 vaccination rate among HCWs and identify risk factors associated with vaccine nonacceptance. STUDY DESIGN AND METHODS: A retrospective analysis of COVID-19 vaccinations for HCWs at a large multi-site US academic medical center from 12/18/2020 through 05/04/2021. Comparisons between groups were performed using unpaired student t-test for continuous variables and the chi-square test for categorical variables. A logistic regression analysis was used to assess the associations between vaccine uptake and risk factor(s). RESULTS: Of the 65,270 HCWs included in our analysis, the overall vaccination rate was 78.6%. Male gender, older age, White and Asian race, and direct patient care were associated with higher vaccination rates (P <.0001). Significant differences were observed between different job categories. Physicians and advanced practice staff, and healthcare professionals were more likely to be vaccinated than nurses and support staff. CONCLUSIONS: Our data demonstrated higher initial vaccination rates among HCWs than the general population national average during the study period. We observed significant disparities among different high-risk HCWs groups, especially among different job categories, black HCWs and younger HCWs despite their high risk of contracting the infection. Interventions to address lower vaccination rate and vaccine hesitancy should be built with these disparities and differences in mind to create more targeted interventions.

Evaluation of healthcare personnel exposures to patients with severe acute respiratory coronavirus virus 2 (SARS-CoV-2) associated with personal protective equipment.

OBJECTIVE: Personal protective equipment (PPE) is a critical aspect of preventing the transmission of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) in healthcare settings. We aimed to identify factors related to lapses in PPE use that may influence transmission of SARS-CoV-2 from patients to healthcare personnel (HCP). DESIGN: Retrospective cohort study. SETTING: Tertiary-care medical center in Minnesota. PARTICIPANTS: In total, 345 HCP who sustained a significant occupational exposure to a patient with coronavirus disease 2019 (COVID-19) from May 13, 2020, through November 30, 2020, were evaluated. RESULTS: Overall, 8 HCP (2.3%) were found to have SARS-CoV-2 infection during their 14-day postexposure quarantine. A lack of eye protection during the care of a patient with COVID-19 was associated with HCP testing positive for SARS-CoV-2 by reverse-transcriptase polymerase chain reaction (RT-PCR) during the postexposure quarantine (relative risk [RR], 10.25; 95% confidence interval [CI], 1.28-82.39; P = .009). Overall, the most common reason for a significant exposure was the use of a surgical face mask instead of a respirator during an aerosol-generating procedure (55.9%). However, this was not associated with HCP testing positive for SARS-CoV-2 during the postexposure quarantine (RR, 0.99; 95% CI, 0.96-1; P = 1). Notably, transmission primarily occurred in units that did not regularly care for patients with COVID-19. CONCLUSIONS: The use of universal eye protection is a critical aspect of PPE to prevent patient-to-HCP transmission of SARS-CoV-2.

Decreasing drug waste, reducing drug costs, and improving workflow efficiency through the implementation of automated chemotherapy dose rounding rules in the electronic health record system.

PURPOSE: To decrease drug waste and cost by implementing automated chemotherapy dose rounding rules in the electronic health record (EHR). Dose rounding of chemotherapy is a recognized method for reducing drug waste, and professional organizations have published guidelines recommending dose rounding when possible. SUMMARY: On the basis of current literature and guideline recommendations, Mayo Clinic developed system-wide consensus to allow dose rounding for biologic and chemotherapy agents to the nearest vial size if rounding resulted in the dose being within 10% of the originally calculated dose or to a convenient measurable volume, based on concentration of the drug, if rounding to the nearest vial size resulted in the dose being outside the 10% range. Oncology pharmacists reviewed and analyzed all drugs listed in the EHR used in injectable form for the treatment of cancer and developed dose rounding rules. The rules were implemented and applied at the dose calculation stage before provider signature. From January to June 2019, approximately 40,000 cancer treatment doses were administered. The rounding rules saved a total of 9,814 vials of drug, of which 5,329 were for biologic agents and 4,485 were for oncolytic drugs. This resulted in a total 6-month cost savings of $7,284,796 (in 2019 dollars; biologics, $5,727,402; oncolytics, $1,557,394). CONCLUSION: Systematic implementation of dose rounding rules utilizing the EHR can result in significant reduction of drug waste and realization of savings.

Association Between SARS-CoV-2 Cycle Threshold Values and Clinical Outcomes in Patients With COVID-19: A Systematic Review and Meta-analysis.

Cycle threshold (CT) values are correlated with the amount of viral nucleic acid in a sample and may be obtained from some qualitative real-time polymerase chain reaction tests used for diagnosis of most patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, CT values cannot be directly compared across assays, and they must be interpreted with caution as they are influenced by sample type, timing of sample collection, and assay design. Presently, the correlation between CT values and clinical outcomes is not well understood. We conducted a systematic review and meta-analysis of published studies through April 19, 2021, that reported an association between CT values and hospitalization, disease severity, and mortality in patients ≥18 years old with SARS-CoV-2. A meta-analysis of 7 studies showed no significant difference in mean CT values between hospitalized and nonhospitalized patients. Among hospitalized patients, those with CT values <25 had a high risk of more severe disease and mortality than patients with CT values >30 (odds ratio [OR], 2.31; 95% CI, 1.70 to 3.13; and OR, 2.95; 95% CI, 2.19 to 3.96; respectively). The odds of increased disease severity and mortality were less pronounced in patients with CT values of 25-30 compared with >30.

Absence of SARS-CoV-2 in the air and on the surfaces within the school environment.

To the best of our knowledge to date there are no scientific studies specifically investigating whether the SARS-CoV-2 virus is present in the air or on the various surfaces in the school environment. The aim of this study was to determine if SARS-CoV-2 is present on various high touch surfaces and in the air across the elementary, middle and high schools in the Chester County of Pennsylvania, USA. One hundred and fifty surface swab samples and 45 air samples were analysed for the presence of the virus. All the samples tested were negative for the presence of SARS-CoV-2. The results indicate that the spread of the virus through contact and through air in the school buildings across the USA is highly unlikely.

Letter to the Editor: Microbiota in the Respiratory System-A Possible Explanation to Age and Sex Variability in Susceptibility to SARS-CoV-2.

The Human respiratory tract is colonized by a variety of microbes and the microbiota change as we age. In this perspective, literature support is presented for the hypothesis that the respiratory system microbiota could explain the differential age and sex breakdown amongst COVID-19 patients. The number of patients in the older and elderly adult group is higher than the other age groups. The perspective presents the possibility that certain genera of bacteria present in the respiratory system microbiota in children and young adults could be directly or through eliciting an immune response from the host, prevent full-fledged infection of SARS-CoV-2. The possibility also exists that the microbiota in older adults and the elderly population have bacteria that make it easier for the virus to cause infection. I call upon the scientific community to investigate the link between human microbiota and SARS-CoV-2 susceptibility to further understand the viral pathogenesis.

Lean Data Visualization: Considering Actionable Metrics for Technical Communication: JBTC

Analyzing data gathered around COVID-19 can increase our understanding of its spread and the social and economic impacts. Data visualizations can help various stakeholders understand the outbreak. To this end, this article seeks to understand how COVID-19 data dashboards utilized actionable metrics to inform various stakeholders. Used in lean methodology, actionable metrics specifically tie data visualization to actions to improve a specific situation. The authors discuss how actionable metrics were used in COVID-19 data dashboards to inspire actions of various stakeholders by modeling different outcomes through future projections. In turn, the authors explore how actionable metrics in data dashboards can inform new business and technical communication practices for data visualization.

Acceptability of immediate sequential bilateral cataract surgery (ISBCS) in a public health care setting before and after COVID-19: a prospective patient questionnaire survey.

OBJECTIVE: To ascertain patient acceptance of immediate sequential bilateral cataract surgery (ISBCS) in the National Health Service (NHS). METHODS: A survey was devised using a 5-point Likert scale for questions related to ISBCS, which patients undertook during their cataract outpatient appointment pre-COVID-19 lockdown and by telephone during the lockdown. RESULTS: Questionnaires were completed for 267 patients. Most respondents were aged over 71 (51%) and were female individuals (60%). Forty-five per cent agreed/strongly agreed with opting for ISBCS. A positive correlation was identified between opting for ISBCS and convenience to the patient (r=0.76, p<0.01) and family/carer/partner (r=0.71, p<0.01) and wanting to limit numbers of hospital visits (r=0.57, p<0.01). Fifty per cent agreed/strongly agreed that they were worried about the risk of simultaneous bilateral ocular complications, with this correlating with being less likely to opt for ISBCS (r=-0.49, p<0.01) and being scared of ISBCS (r=0.67, p<0.01). During COVID-19 lockdown, patients were less likely to want to minimise the time taken off work (p<0.05) and less intolerant of a prolonged hospital visit (p<0.05). Only 23% of respondents agreed/strongly agreed that they had familiarity with ISBCS. CONCLUSIONS: ISBCS was acceptable to 45% of our sampled population, suggesting limited routine implementation in the NHS is possible. Convenience and reduction in hospital visits appeared to contribute to this acceptance. Half of the patients expressed concern regarding bilateral complications and such concerns need addressing. Some attitudes did appear to change during the COVID-19 lockdown period. The familiarity of the concept of ISBCS is low suggesting the need for patient education.

Lean Data Visualization: Considering Actionable Metrics for Technical Communication

Analyzing data gathered around COVID-19 can increase our understanding of its spread and the social and economic impacts. Data visualizations can help various stakeholders understand the outbreak. To this end, this article seeks to understand how COVID-19 data dashboards utilized actionable metrics to inform various stakeholders. Used in lean methodology, actionable metrics specifically tie data visualization to actions to improve a specific situation. The authors discuss how actionable metrics were used in COVID-19 data dashboards to inspire actions of various stakeholders by modeling different outcomes through future projections. In turn, the authors explore how actionable metrics in data dashboards can inform new business and technical communication practices for data visualization.

Cell-based therapy to reduce mortality from COVID-19: Systematic review and meta-analysis of human studies on acute respiratory distress syndrome.

Severe cases of COVID-19 infection, often leading to death, have been associated with variants of acute respiratory distress syndrome (ARDS). Cell therapy with mesenchymal stromal cells (MSCs) is a potential treatment for COVID-19 ARDS based on preclinical and clinical studies supporting the concept that MSCs modulate the inflammatory and remodeling processes and restore alveolo-capillary barriers. The authors performed a systematic literature review and random-effects meta-analysis to determine the potential value of MSC therapy for treating COVID-19-infected patients with ARDS. Publications in all languages from 1990 to March 31, 2020 were reviewed, yielding 2691 studies, of which nine were included. MSCs were intravenously or intratracheally administered in 117 participants, who were followed for 14 days to 5 years. All MSCs were allogeneic from bone marrow, umbilical cord, menstrual blood, adipose tissue, or unreported sources. Combined mortality showed a favorable trend but did not reach statistical significance. No related serious adverse events were reported and mild adverse events resolved spontaneously. A trend was found of improved radiographic findings, pulmonary function (lung compliance, tidal volumes, PaO2 /FiO2 ratio, alveolo-capillary injury), and inflammatory biomarker levels. No comparisons were made between MSCs of different sources.