Comparison of mRNA vaccine effectiveness against COVID-19-associated hospitalization by vaccination source: Immunization information systems, electronic medical records, and self-report-IVY Network, February 1-August 31, 2022.

BACKGROUND: Accurate determination of COVID-19 vaccination status is necessary to produce reliable COVID-19 vaccine effectiveness (VE) estimates. Data comparing differences in COVID-19 VE by vaccination sources (i.e., immunization information systems [IIS], electronic medical records [EMR], and self-report) are limited. We compared the number of mRNA COVID-19 vaccine doses identified by each of these sources to assess agreement as well as differences in VE estimates using vaccination data from each individual source and vaccination data adjudicated from all sources combined. METHODS: Adults aged ≥18 years who were hospitalized with COVID-like illness at 21 hospitals in 18 U.S. states participating in the IVY Network during February 1-August 31, 2022, were enrolled. Numbers of COVID-19 vaccine doses identified by IIS, EMR, and self-report were compared in kappa agreement analyses. Effectiveness of mRNA COVID-19 vaccines against COVID-19-associated hospitalization was estimated using multivariable logistic regression models to compare the odds of COVID-19 vaccination between SARS-CoV-2-positive case-patients and SARS-CoV-2-negative control-patients. VE was estimated using each source of vaccination data separately and all sources combined. RESULTS: A total of 4499 patients were included. Patients with ≥1 mRNA COVID-19 vaccine dose were identified most frequently by self-report (n = 3570, 79 %), followed by IIS (n = 3272, 73 %) and EMR (n = 3057, 68 %). Agreement was highest between IIS and self-report for 4 doses with a kappa of 0.77 (95 % CI = 0.73-0.81). VE point estimates of 3 doses against COVID-19 hospitalization were substantially lower when using vaccination data from EMR only (VE = 31 %, 95 % CI = 16 %-43 %) than when using all sources combined (VE = 53 %, 95 % CI = 41 %-62%). CONCLUSION: Vaccination data from EMR only may substantially underestimate COVID-19 VE.

Use of artificial intelligence for point-of-care echocardiographic assessment of left ventricular ejection fraction among COVID-19 patients

Background: The association between COVID-19 infection and the cardiovascular system has been well described. Isolation precautions limit the use of formal echocardiography in this setting. Artificial intelligence (AI) utilization using a hand-held device in these patients can be a reliable tool for left ventricular ejection fraction (LVEF) assessment. Aim(s): To prospectively investigate the accuracy of AI-base tool for LVEF assessment using a hand-held echocardiogram in patients with COVID-19. Method(s): From April-28 through July-26, 2020, consecutive patients with COVID-19 underwent a real-time LVEF assessment within 48-h of admission using a hand-held echocardiogram evaluation (Vscan Extend) equipped with LVivoEF, an AI-based tool that automatically evaluates LVEF. The examinations were further analyzed off-line by a blinded fellowshiptrained echocardiographer for LVEF as a gold standard. Result(s): Among 42 patients, 21 (50%) were male (aged 53.3+/-17.8 years, mean BMI 27.6+/-5.1 kg/m2). Seven (16.7%) patients couldn't turn on their left side and three (7.1%) couldn't maintain effective communication. The mean length of each echocardiogram study was 6.8+/-2.2 minutes, battery usage was 13.4+/-4.9%, and mean operator-to-patient proximity was 64.5+/-9.3 cm. A fair to good correlation was demonstrated between the AI and the echocardiographer LVEF assessment (Pearson's correlation of 0.691, p<0.001). An almost perfect agreement was demonstrated between the AI and the echocardiographer for LVEF using a threshold of 45% (kappa=0.806, p<0.001). The sensitivity of focused echocardiogram for 45% LVEF threshold is 85.7%, specificity is 97.1% with a PPV of 85.7% and NPV of 97.1%. Conclusion(s): An AI-based algorithm incorporated into an existing handheld echocardiogram device can be reliably utilized as a decision support tool for automatic real-time LVEF assessment among COVID-19 patients.

An evaluation of the impact of COVID-19 lockdowns on electricity demand

The COVID-19 pandemic has given rise to significant changes in electricity demand around the world. Although these changes differ from region to region, countries that have implemented stringent lockdown measures to curtail the spread of the virus have experienced the greatest alterations in demand. Within Australia, the state of Victoria has been subject to the largest number of days in hard lockdown during the COVID-19 pandemic. We conduct an exploratory data analysis to identify predictors of demand, and have built a time series forecasting model to predict the half-hourly electricity demand in Victoria. Our model distinguishes between lockdown periods and non-restrictive periods, and aims to identify a variety of patterns that we show to be influential on electricity demand. The model thereby provides a nuanced prediction of electricity demand that captures the shifting demand profile of intermittent lockdowns.

Outcomes of Delay of Care After the Onset of COVID-19 for Patients Managing Multiple Chronic Conditions.

PURPOSE: Many patients delayed health care during COVID-19. We assessed the extent to which patients managing multiple chronic conditions (MCC) delayed care in the first months of the pandemic, reasons for delay, and impact of delay on patient-reported physical and behavioral health (BH) outcomes. METHODS: As part of a large clinical trial conducted April 2016-June, 2021, primary care patients managing MCC were surveyed about physical and behavioral symptoms and functioning. Surveys administered between September 3, 2020, and March 16, 2021, included questions about the extent of and reasons for any delayed medical and BH care since COVID-19. Multivariable linear regression was used to assess health outcomes as a function of delay of care status. RESULTS: Among patients who delayed medical care, 58% delayed more than once. Among those who delayed behavioral health care, 63% delayed more than once. Participants who delayed multiple times tended to be younger, female, unmarried, and reported food, financial, and housing insecurities and worse health. The primary reasons for delaying care were lack of availability of in-person visits and perceived lack of urgency. Participants who delayed care multiple times had significantly worse outcomes on nearly every measure of physical and mental health, compared with participants who delayed care once or did not delay. CONCLUSIONS: Delay of care was substantial. Patients who delayed care multiple times were in poorer health and thus in need of more care. Effective strategies for reengaging patients in deferred care should be identified and implemented on multiple levels. TRIAL REGISTRATION: ClinicalTrials.gov NCT02868983. Registered on August 16, 2016.

The Relationship Between Mental and Physical Health and Walking During the COVID-19 Pandemic.

INTRODUCTION: COVID-19 policies such as quarantining, social isolation, and lockdowns are an essential public health measure to reduce the spread of disease but may lead to reduced physical activity. Little is known if these changes are associated with changes in physical or mental health. METHODS: Between September 2017 and December 2018 (baseline) and March 2020 and February 2021 (follow-up), we obtained self-reported demographic, health, and walking (only at follow-up) data on 2042 adults in primary care with multiple chronic health conditions. We examined whether the perceived amount of time engaged in walking was different compared with prepandemic levels and if this was associated with changes in Patient-Reported Outcomes Measurement Information System-29 mental and physical health summary scores. Multivariable linear regression controlling for demographic, health, and neighborhood information were used to assess this association. RESULTS: Of the 2042 participants, 9% reported more walking, 28% reported less, and 52% reported the same amount compared with prepandemic levels. Nearly 1/3 of participants reported less walking during the pandemic. Multivariable models revealed that walking less or not at all was associated with negative changes in mental (ß = -1.0; 95% CI [-1.6, -0.5]; ß = -2.2; 95% CI [-2.9, -1.4]) and physical (ß = -0.9; 95% CI [-1.5, -0.3]; ß = -3.1; 95% CI [-4.0, -2.3]) health, respectively. Increasing walking was significantly associated with a positive change in physical health (ß = 1.3; 95% CI [0.3, 2.2]). CONCLUSIONS: These findings demonstrate the importance of walking during the COVID-19 pandemic. Promotion of physical activity should be taken into consideration when mandating restrictions to slow the spread of disease. Primary care providers can assess patient's walking patterns and implement brief interventions to help patients improve their physical and mental health through walking.

The prevalence and characteristics of patients with ST-elevation myocardial infarction during the first two months of the COVID-19 pandemics

Background: ST-Segment elevation MI (STEMI) is one of the leading cause of mortality in the western world. The coronavirus disease-2019 (COVID-19) pandemic might have implications of the treatment of STEMI patients. Our aim was to evaluate the treatment of STEMI patients during 2 months of the COVID-19 pandemic as compared with the year before. Methods: Data of 90 STEMI patients treated at the Shaare Zedek Medical Center intensive coronary care unit (ICCU) Between March-April 2019 and March-April 2020 were collected. Patients were divided into 2 groups: The pre COVID-19 group and the COVID-19 era group. Data regarding complications upon arrival and during hospitalization, door to balloon time and echocardiographic exams. Results: Fifty one (56%) patients were admitted with STEMI in the pre COVID-19 group and only 39 (44%) in the COVID-19 era group. Of them 13.7% vs. 20.5% were female, p=0.392 with a mean age of 62.1 (±13.5) vs. 63.4 (±11) years old, p=0.635 in the pre vs. post COVID-19 era group, respectively. Interestingly, more Jewish vs. non-Jewish were admitted with STEMI in the COVID-19 era group. There were no differences regarding baseline characteristics, catheterization access, culprit vessel and percutaneous coronary intervention rate. Door to balloon time was also similar in both pre and post COVID-19 era groups 35.4 (±32) vs. 30.5 (±29.1) minutes (p=0.896). Moreover, there was no difference regarding infarct size. Complications including acute renal failure, cardiogenic shock, and the use of intra-aortic balloon pump were similar in both groups. 30-day mortality rate was low and similar in both pre and post COVID-19 era groups (5.9% vs. 2.6%, respectively, p=0.426). Conclusions: During the beginning of COVID-19 era there was a reduction in STEMI admission rate, while no significant difference was found regarding baseline characteristics, door to balloon time, infarct size and mortality rate.

Association between cardiac pathology and outcomes of patients with COVID-19 using a hand-held ultrasound

Background: The association between COVID-19 infection and the cardiovascular system has been well described. Strict precautions limit the use of formal echocardiography in this setting. Information on the importance of the utilization of a hand-held point-of-care cardiac ultrasound (POCCUS) for cardiac evaluation in these patients is scarce. Objective: To investigate the utilization of hand-held echocardiography in COVID-19 hospitalized patients and the association between cardiac pathologies and outcomes. Methods: Consecutive patients diagnosed with COVID-19 underwent POCCUS evaluation using a hand-held ultrasound within 24 hours of admission at our institute, throughout March-May 2020. According to the POCCUS results, the patients were divided into two groups: 'Normal' and 'Abnormal' (including left or right ventricular dysfunction or enlargement, or moderate/severe valvular regurgitation/stenosis). Results: Among 102 patients, 26 (25.5%) had an abnormal POCCUS study. They were older, with more co-morbidities, cardiovascular disease history, chronic medical therapy, and more severe presenting symptoms, as compared to the group with a normal echocardiography exam. Individual and composite endpoints (advanced ventilatory support, acute decompensated heart failure, shock, or death) are presented in Table 1. Multivariate logistic regression analysis adjusting for pertinent variables revealed that abnormal echocardiography at presentation was independently associated with the composite endpoint OR=4.63 (95% CI 1.51-14.15, p=0.007). Conclusions: Abnormal echocardiography results in COVID-19 infection settings are associated with a higher burden of medical comorbidities and independently predict major adverse endpoints. Hand-held POCCUS at presentation can be utilized as an important tool for risk stratification for hospitalized COVID-19 patients. (Figure Presented).

Housing and accessibility after the COVID-19 pandemic: Rebuilding for resilience, equity and sustainable mobility.

A more sustainable post COVID-19 world requires urban transport policies aiming for resilience, social equity and decarbonisation. Instead of just focusing on the transport sector, the authors propose an integrated approach to housing and mobility. This approach acknowledges the challenges posed by inadequate housing and dependence on motorised transport during the COVID-19 crisis. In contrast, adequate housing and cycling became paramount resources while confronting the pandemic. Using Santiago de Chile as a case study, this research examines how different relocation scenarios for its current housing deficit cannot only affect the ability to implement stay-at-home measures, but also the potential of cycling as a relevant commuting alternative. The current location of the families suffering this deficit is compared to three scenarios: compact, pericentral and extended. In light of the learnings from the COVID-19 crisis, a housing-cycling policy becomes a tool for resilience; equity is achieved by enforcing the right to housing, by increasing job opportunities among the poor, and by reducing the dependence on expensive motorised transport; decarbonisation is achieved by promoting active transportation and reducing the dependence on motorisation.