Impact of COVID-19 epidemic on coronary care unit accesses for acute coronary syndrome in Veneto region, Italy

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950-2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

BACKGROUND

Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020-21 COVID-19 pandemic period.

METHODS

22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution.

FINDINGS

Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5-65·1] decline), and increased during the COVID-19 pandemic period (2020-21; 5·1% [0·9-9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98-5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50-6·01) in 2019. An estimated 131 million (126-137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7-17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8-24·8), from 49·0 years (46·7-51·3) to 71·7 years (70·9-72·5). Global life expectancy at birth declined by 1·6 years (1·0-2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67-8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4-52·7]) and south Asia (26·3% [9·0-44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations.

INTERPRETATION

Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic.

FUNDING

Bill & Melinda Gates Foundation.

Impact of the COVID-19 pandemic on hospital admissions due to viral hepatitis in Spain

BACKGROUND

Before the advent of COVID-19 vaccines, hospitalizations due to SARS-CoV-2 infection during 2020 collapsed most medical centers worldwide. Disruptions in health care for clinical conditions other than COVID-19 were not uniform. Herein, we report the impact of COVID-19 on hospitalizations due to viral hepatitis in Spain.

METHODS

Retrospective study of all hospitalizations in Spain during 10 months before (pre-pandemic period) and after (pandemic period) March 1st 2020. Admissions with a diagnosis of hepatitis B, C and/or delta were retrieved and compared using the Spanish National Registry of Hospital Discharges.

RESULTS

Nationwide hospitalizations declined 14.6% during the pandemic period, from 3,144,164 to 2,684,845. This reduction was significantly more pronounced for admissions due to viral hepatitis (18.1% drop), falling from 46,521 to 38,115. During the pandemic period, patients admitted with viral hepatitis died significantly more frequently than during the pre-pandemic period (7.2% vs 6.1%; p < 0.001). Liver transplants significantly declined during the pandemic period. COVID-19 was diagnosed in 10.3% of patients hospitalized with viral hepatitis during the pandemic period. This subset of patients was older and died 2.4-fold more frequently than the rest, despite having advanced liver disease less frequently.

CONCLUSION

Hospitalizations due to viral hepatitis significantly declined in Spain during the COVID-19 pandemic. Patients admitted with viral hepatitis experienced a greater mortality during the pandemic period. Deaths were more pronounced when coinfected with SARS-CoV-2 despite having advanced liver disease less frequently.

Indirect Effects of the COVID-19 Pandemic on In-Hospital Outcomes among Internal Medicine Departments: A Double-Center Retrospective Study

The coronavirus disease 19 (COVID-19) emergency led to rearrangements of healthcare systems with a significant impact on those internal medicine departments that had not been converted to COVID-19 wards. A reduced number of departments, indeed, had to cope with the same number of patients along with a lack of management of patients' chronic diseases. We conducted a retrospective study aimed at examiningthe consequences of the COVID-19 pandemic on internal medicine departments that were not directly managing COVID-19 patients. Data from 619 patients were collected: 247 subjects hospitalized in 2019 (pre-COVID-19 era), 178 in 2020 (COVID-19 outbreak era) and 194 in 2021 (COVID-19 ongoing era). We found that in 2020 in-hospital mortality was significantly higher than in 2019 (17.4% vs. 5.3%, p = 0.009) as well as length of in-hospital stay (LOS) (12.7 ± 6.8 vs. 11 ± 6.2, p = 0.04). Finally, we performed a logistic regression analysis of the major determinants of mortality in the entire study population, which highlighted an association between mortality, being bedridden (β = 1.4, p = 0.004), respiratory failure (β = 1.5, p = 0.001), glomerular filtration rate (β = -0.16, p = 0.03) and hospitalization in the COVID-19 outbreak era (β = 1.6, p = 0.005). Our study highlights how the COVID-19 epidemic may have caused an increase in mortality and LOS even in patients not directly suffering from this infection.

How Did the Two Years of the COVID-19 Pandemic Affect the Outcomes of the Patients with Inflammatory Rheumatic Diseases in Lithuania?

Background and objectives: the COVID-19 pandemic globally caused more than 18 million deaths over the period of 2020-2021. Although inflammatory rheumatic diseases (RD) are generally associated with premature mortality, it is not yet clear whether RD patients are at a greater risk for COVID-19-related mortality. The aim of our study was to evaluate mortality and causes of death in a retrospective inflammatory RD patient cohort during the COVID-19 pandemic years. Methods: We identified patients with a first-time diagnosis of inflammatory RD and followed them up during the pandemic years of 2020-2021. Death rates, and sex- and age-standardized mortality ratios (SMRs) were calculated for the prepandemic and pandemic periods. Results: We obtained data from 11,636 patients that had been newly diagnosed with inflammatory RD and followed up until the end of 2021 or their death. The mean duration of the follow-up was 5.5 years. In total, 1531 deaths occurred between 2013 and 2021. The prevailing causes of death in the prepandemic period were cardiovascular diseases, neoplasms, and diseases of the respiratory system. In the pandemic years, cardiovascular diseases and neoplasms remained the two most common causes of death, with COVID-19 in third place. The SMR of the total RD cohort was 0.83. This trend was observed in rheumatoid arthritis and spondyloarthropathy patients. The SMR in the group of connective-tissue diseases and vasculitis was higher at 0.93, but did not differ from that of the general population. The excess of deaths in the RD cohort during the pandemic period was negative (-27.2%), meaning that RD patients endured the pandemic period better than the general population did. Conclusions: The COVID-19 pandemic did not influence the mortality of RD patients. Strict lockdown measures, social distancing, and early vaccination were the main factors that resulted in reduced mortality in this cohort during the pandemic years.

Hospitalization, major complications and mortality in acute myocardial infarction patients during the COVID-19 era: A systematic review and meta-analysis

Since the SARS-CoV-2 pandemic began, numerous studies have reported a concerning drop in the number of acute myocardial infarction (AMI) admissions. In the present systematic review and meta-analysis, we aimed to compare the rate of AMI admissions and major complication during the pandemic, in comparison with pre-pandemic periods. Three major databases (PubMed, Scopus, and Web of Science Core Collection) were searched. Out of 314 articles, 41 were entered into the study. Patients hospitalized for AMI were 35% less in the COVID-19 era compared with pre-pandemic periods, which was statistically significantly (OR = 0.65; 95% CI: 0.56-0.74; I2 = 99%; p < 0.001; 28 studies). Patients hospitalized for STEMI and NSTEMI were 29% and 34% respectively less in the COVID-19 era compared with periods before COVID-19, which was statistically significantly (OR = 0.71; 95% CI: 0.65 -0.78; I2 = 93%; p < 0.001; 22 studies, OR = 0.66; 95% CI: 0.58-0.73; I2 = 95%; p < 0.001; 14 studies). The overall rate of in-hospital mortality in AMI patients increased by 26% in the COVID-19 era, which was not statistically significant (OR = 1.26; 95% CI: 1.0-1.59; I2 = 22%; p < 0.001; six studies). The rate of in-hospital mortality in STEMI and NSTEMI patients increased by 15% and 26% respectively in the COVID-19 era, which was not statistically significant (OR = 1.15; 95% CI: 0.85-1.57; I2 = 48%; p = 0.035; 11 studies, OR = 1.35; 95% CI: 0.64-2.86; I2 = 45%; p = 0.157; 3 articles). These observations highlight the challenges in the adaptation of health-care systems with the impact of the COVID-19 pandemic.

Estimating excess mortality due to the COVID-19 pandemic: a systematic analysis of COVID-19-related mortality, 2020-21

BACKGROUND

Mortality statistics are fundamental to public health decision making. Mortality varies by time and location, and its measurement is affected by well known biases that have been exacerbated during the COVID-19 pandemic. This paper aims to estimate excess mortality from the COVID-19 pandemic in 191 countries and territories, and 252 subnational units for selected countries, from Jan 1, 2020, to Dec 31, 2021.

METHODS

All-cause mortality reports were collected for 74 countries and territories and 266 subnational locations (including 31 locations in low-income and middle-income countries) that had reported either weekly or monthly deaths from all causes during the pandemic in 2020 and 2021, and for up to 11 year previously. In addition, we obtained excess mortality data for 12 states in India. Excess mortality over time was calculated as observed mortality, after excluding data from periods affected by late registration and anomalies such as heat waves, minus expected mortality. Six models were used to estimate expected mortality; final estimates of expected mortality were based on an ensemble of these models. Ensemble weights were based on root mean squared errors derived from an out-of-sample predictive validity test. As mortality records are incomplete worldwide, we built a statistical model that predicted the excess mortality rate for locations and periods where all-cause mortality data were not available. We used least absolute shrinkage and selection operator (LASSO) regression as a variable selection mechanism and selected 15 covariates, including both covariates pertaining to the COVID-19 pandemic, such as seroprevalence, and to background population health metrics, such as the Healthcare Access and Quality Index, with direction of effects on excess mortality concordant with a meta-analysis by the US Centers for Disease Control and Prevention. With the selected best model, we ran a prediction process using 100 draws for each covariate and 100 draws of estimated coefficients and residuals, estimated from the regressions run at the draw level using draw-level input data on both excess mortality and covariates. Mean values and 95% uncertainty intervals were then generated at national, regional, and global levels. Out-of-sample predictive validity testing was done on the basis of our final model specification.

FINDINGS

Although reported COVID-19 deaths between Jan 1, 2020, and Dec 31, 2021, totalled 5·94 million worldwide, we estimate that 18·2 million (95% uncertainty interval 17·1-19·6) people died worldwide because of the COVID-19 pandemic (as measured by excess mortality) over that period. The global all-age rate of excess mortality due to the COVID-19 pandemic was 120·3 deaths (113·1-129·3) per 100 000 of the population, and excess mortality rate exceeded 300 deaths per 100 000 of the population in 21 countries. The number of excess deaths due to COVID-19 was largest in the regions of south Asia, north Africa and the Middle East, and eastern Europe. At the country level, the highest numbers of cumulative excess deaths due to COVID-19 were estimated in India (4·07 million [3·71-4·36]), the USA (1·13 million [1·08-1·18]), Russia (1·07 million [1·06-1·08]), Mexico (798 000 [741 000-867 000]), Brazil (792 000 [730 000-847 000]), Indonesia (736 000 [594 000-955 000]), and Pakistan (664 000 [498 000-847 000]). Among these countries, the excess mortality rate was highest in Russia (374·6 deaths [369·7-378·4] per 100 000) and Mexico (325·1 [301·6-353·3] per 100 000), and was similar in Brazil (186·9 [172·2-199·8] per 100 000) and the USA (179·3 [170·7-187·5] per 100 000).

INTERPRETATION

The full impact of the pandemic has been much greater than what is indicated by reported deaths due to COVID-19 alone. Strengthening death registration systems around the world, long understood to be crucial to global public health strategy, is necessary for improved monitoring of this pandemic and future pandemics. In addition, further research is warranted to help distinguish the proportion of excess mortality that was directly caused by SARS-CoV-2 infection and the changes in causes of death as an indirect consequence of the pandemic.

FUNDING

Bill & Melinda Gates Foundation, J Stanton, T Gillespie, and J and E Nordstrom.

The Impact of the COVID-19 Pandemic on Hospital Services for Patients with Cardiac Diseases: A Scoping Review

This study aims to assess the impact of the COVID-19 pandemic on hospital cardiac care, as assessed by performance indicators. Scoping review methodology: performance indicators were extracted to inform on changes in care during January-June 2020. Database searches yielded 6277 articles, of which 838 met the inclusion criteria. After full-text screening, 94 articles were included and 1637 indicators were retrieved. Most of the indicators that provided information on changes in the number of admissions (n = 118, 88%) signaled a decrease in admissions; 88% (n = 15) of the indicators showed patients' delayed presentation and 40% (n = 54) showed patients in a worse clinical condition. A reduction in diagnostic and treatment procedures was signaled by 95% (n = 18) and 81% (n = 64) of the indicators, respectively. Length of stay decreased in 58% (n = 21) of the indicators, acute coronary syndromes treatment times increased in 61% (n = 65) of the indicators, and outpatient activity decreased in 94% (n = 17) of the indicators related to outpatient care. Telehealth utilization increased in 100% (n = 6). Outcomes worsened in 40% (n = 35) of the indicators, and mortality rates increased in 52% (n = 31). All phases of the pathway were affected. This information could support the planning of care during the ongoing pandemic and in future events.

The Impact of the SARS-CoV-2 Pandemic on Healthcare Provision in Italy to non-COVID Patients: a Systematic Review

BACKGROUND

Italy has been one of the countries most affected by the SARS-CoV-2 pandemic, and the regional healthcare system has had to quickly adapt its organization to meet the needs of infected patients. This has led to a drastic change in the routine management of non-communicable diseases with a potential long-term impact on patient health care. Therefore, we investigated the management of non-COVID-19 patients across all medical specialities in Italy.

METHODS

A PRISMA guideline-based systematic review of the literature was performed using PubMed, Embase, and Scopus, restricting the search to the main outbreak period in Italy (from February 20 to June 25 2020). We selected articles in English or Italian that detailed changes in the Italian hospital care for non-COVID-19 patients due to the pandemic. Our keywords included all medical specialities combined with our geographical focus (Italy) and COVID-19.

RESULTS

Of the 4643 potentially eligible studies identified by the search, 247 were included. A decrease in the management of emergencies in non-COVID patients was found together with an increase in mortality. Similarly, non-deferrable conditions met a tendency toward decreased diagnosis. All specialities have been affected by the re-organization of healthcare provision in the hub-and-spoke system and have benefited from telemedicine.

CONCLUSIONS

Our work highlights the changes in the Italian public healthcare system to tackle the developing health crisis due to the COVID-19 pandemic. The findings of our review may be useful to analyse future directions for the healthcare system in the case of new pandemic scenarios.

Elderly People's Access to Emergency Departments during the COVID-19 Pandemic: Results from a Large Population-Based Study in Italy

Across the world, people have avoided seeking medical attention during the coronavirus pandemic, resulting in a marked reduction in emergency department (ED) visits. This retrospective cohort study examines in detail how the present pandemic affects ED use by the elderly. The regional database on ED visits in Veneto (northeastern Italy) was consulted to extract anonymous data on all ED visits during 2019 and 2020, along with details concerning patients' characteristics (access mode, triage code, chief complaint, and outcome). A year-on-year comparison was drawn between 2019 and 2020. There was a 25.3% decrease in ED visits in 2020 compared to the previous year. The decrease ranged from -52.4% in March to -18.4% in September when comparing the same months in the two years. This decrease started in late February 2020, with the lowest numbers of visits recorded in March and April 2020 (during the "first wave" of the COVID-19 pandemic in Italy), and in the autumn (during the "second wave"). The proportion of visits to the ED by ambulance has increased sharply since March 2020, and patients arrived more frequently with severe conditions (red or yellow triage tags) that often required a hospitalization. The greatest decrease was in fact observed for non-urgent complaints. This decreased concerned a wide range of conditions, including chest pain and abdominal pain. The sharp reduction observed in the present study is unlikely to be attributed entirely to the effect of lockdown measures. Individual psychological and media-induced fear of contagion most likely played a relevant role in leading people to avoid seeking medical attention.

Increase of Myocardial Ischemia Time and Short-Term Prognosis of Patients with Acute Myocardial Infarction during the First COVID-19 Pandemic Wave

Background and objectives: early reports showed a decrease in admission rates and an increase in mortality of patients with acute myocardial infarction (AMI) during the first wave of COVID-19 pandemic. We sought to investigate whether the COVID-19 pandemic and associated lockdown had an impact on the ischemia time and prognosis of patients suffering from AMI in the settings of low COVID-19 burden. Materials and Methods: we conducted a retrospective data analysis from a tertiary center in Lithuania of 818 patients with AMI. Data were collected from 1 March to 30 June in 2020 during the peri-lockdown period (2020 group; n = 278) and compared to the same period last year (2019 group; n = 326). The primary study endpoint was all-cause mortality during 3 months of follow-up. Secondary endpoints were heart failure severity (Killip class) on admission and ischemia time in patients with acute ST segment elevation myocardial infarction (STEMI). Results: there was a reduction of 14.7% in admission rate for acute myocardial infarction (AMI) during the peri-lockdown period. The 3-month mortality rate did not differ significantly (6.9% in 2020 vs. 10.5% in 2019, p = 0.341 for STEMI patients; 5.3% in 2020 vs. 2.6% in 2019, p = 0.374 for patients with acute myocardial infarction without ST segment elevation (NSTEMI)). More STEMI patients presented with Killip IV class in 2019 (13.5% vs. 5.5%, p = 0.043, respectively). There was an increase of door-to-PCI time (54.0 [42.0-86.0] in 2019; 63.5 [48.3-97.5] in 2020, p = 0.018) and first medical contact (FMC)-to-PCI time (101.0 [82.5-120.8] in 2019; 115 [97.0-154.5] in 2020, p = 0.01) during the pandemic period. Conclusions: There was a 14.7% reduction of admissions for AMI during the first wave of COVID-19. FMC-to-PCI time increased during the peri-lockdown period, however, it did not translate into worse survival during follow-up.

Impact of the 2019 Novel Coronavirus Disease Pandemic on the Performance of a Cardiovascular Department in a Non-epidemic Center in Beijing, China

Background: Knowledge of the impact of the 2019 novel coronavirus disease (COVID-19) pandemic on the performance of a cardiovascular department in a medical referral hub center from a non-epidemic area of China is limited.

Method: The data on the total number of non-emergency medical cares (including the number of out-patient clinic attendances, the number of patients who were hospitalized in non-intensive care wards, and patients who underwent elective cardiac intervention procedures) and emergency medical cares [including the number of emergency department (ED attendances) and chest pain center (CPC attendances), as well as the number of patients who were hospitalized in coronary care unit (CCU) and the number of patients who underwent emergency cardiac intervention procedures] before and during the pandemic (time before the pandemic: 20th January 2019 to 31st March 2019 and time during the pandemic: 20th January 2020 to 31st March 2020) in the Department of Cardiology and Macrovascular Disease, Beijing Tiantan Hospital, Capital Medical University were collected and compared.

Results: Both the non-emergency medical and emergency medical cares were affected by the pandemic. The total number of out-patient clinic attendance decreased by 44.8% and the total number of patients who were hospitalized in non-intensive care wards decreased by 56.4%. Pearson correlation analysis showed that the number of out-patient clinic attendance per day was not associated with the number of new confirmed COVID-19 cases and the cumulative number of confirmed COVID-19 patients in Beijing (r = −0.080, p = 0.506 and r = −0.071, p = 0.552, respectively). The total number of patients who underwent non-emergency cardiac intervention procedures decreased during the pandemic, although there were no statistically significant differences except for patent foramen ovale (PFO) occlusion (1.7 ± 2.9 vs. 8.3 ± 2.3, p = 0.035). As for the emergency medical cares, the ED attendances decreased by 22.4%, the total number of CPC attendances increased by 10.3%, and the number of patients who were hospitalized in CCU increased by 8.9%: these differences were not statistically significant. During the pandemic, the proportion of hospitalized patients with ST segment elevation myocardial infarction (STEMI) and non-ST segment elevation myocardial infarction (NSTEMI) significantly increased (19.0 vs. 8.7%, p < 0.001; 28.8 vs. 18.0%, p < 0.001, respectively); also, the number of primary percutaneous coronary intervention (PCI) increased by 10.3%. There was no significant difference between patients before and during the pandemic regarding the age, gender, baseline and discharge medication therapy, as well as length of stay and in-hospital mortality.

Conclusions: Our preliminary results demonstrate that both the non-emergency and emergency medical cares were affected by the COVID-19 pandemic even in a referral medical center with low cross-infection risk. The number of the out-patient clinic attendances not associated with the number of confirmed COVID-19 cases could be due to different factors, such as the local government contamination measures. The proportion of hospitalized patients with acute myocardial infarction increased in our center during the pandemic since other hospitals stopped performing primary angioplasty. A hub-and-spoke model could be effective in limiting the collateral damage for patients affected by cardiovascular diseases when the medical system is stressed by disasters, such as COVID-19 pandemic.

Consultations Decline for Stroke, Transient Ischemic Attack, and Myocardial Infarction during the COVID-19 Pandemic in Germany

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic raises the concern that other non-COVID conditions will be affected by a decline in care. Therefore, we aimed to investigate the decline in ambulatory presentations for vascular events (stroke, transient ischemic attack [TIA], and myocardial infarction [MI]) during the COVID-19 pandemic.

METHODS

Patients with a diagnosis of ischemic stroke, TIA, or MI documented anonymously in 1,262 general practices in Germany were included. We studied the differences between 2019 and 2020 (between April and June) in terms of rates and baseline characteristics by comparing monthly absolute frequencies.

RESULTS

A total of 3,496 patients with stroke (mean age: 72.2 years), 1,608 patients with TIA (mean age: 71.5 years), and 2,385 patients with MI (mean age: 66.8 years) were identified between April and June 2020, indicating a decrease of 10% (stroke), 16% (TIA), and 9% (MI) compared to 2019. For patients with stroke, the decrease in men was 13% (women: -6%) but reached 17% in the age category 51-60 years. For MI, the decrease was only obvious in males (14%). The largest decrease in stroke (-17%) and MI (-19%) was noted in April, while that for TIA occurred in May (-22%). In June for all 3 conditions, the previous year's level was achieved. Only in TIA, the age differs between 2019 and 2020 (mean age: 69.9 vs. 71.5 years; p < 0.05). In patients with stroke and MI, the proportions of men were lower in 2019 than in 2020 (stroke: 54.8-50.5%, p < 0.05 and MI: 64-60.2%, p < 0.05).

CONCLUSION

Although the decline in the number of patients presenting with stroke, TIA, and MI was not as noticeable in the ambulatory sector as it was in the area of emergency hospital-based care, our data indicate that the COVID-19 pandemic affected all sectors within the medical care system.

Characteristics and hospital course of patients admitted for acute cardiovascular diseases during the coronavirus disease-19 outbreak

INTRODUCTION

During the coronavirus disease-19 (COVID-19) outbreak in spring 2020, people may have been reluctant to seek medical care fearing infection. We aimed to assess the number, characteristics and in-hospital course of patients admitted for acute cardiovascular diseases during the COVID-19 outbreak.

METHODS

We enrolled all consecutive patients admitted urgently for acute myocardial infarction, heart failure or arrhythmias from 1 March to 31 May 2020 (outbreak period) and 2019 (control period). We evaluated the time from symptoms onset to presentation, clinical conditions at admission, length of hospitalization, in-hospital medical procedures and outcome. The combined primary end point included in-hospital death for cardiovascular causes, urgent heart transplant or discharge with a ventricular assist device.

RESULTS

A similar number of admissions were observed in 2020 (N = 210) compared with 2019 (N = 207). Baseline characteristics of patients were also similar. In 2020, a significantly higher number of patients presented more than 6 h after symptoms onset (57 versus 38%, P < 0.001) and with signs of heart failure (33 versus 20%, P = 0.018), required urgent surgery (13 versus 5%, P = 0.004) and ventilatory support (26 versus 13%, P < 0.001). Hospitalization duration was longer in 2020 (median 10 versus 8 days, P = 0.03). The primary end point was met by 19 (9.0%) patients in 2020 versus 10 (4.8%) in 2019 (P = 0.09).

CONCLUSION

Despite the similar number and types of unplanned admissions for acute cardiac conditions during the 2020 COVID-19 outbreak compared with the same period in 2019, we observed a higher number of patients presenting late after symptoms onset as well as longer and more complicated clinical courses.

Short-term outcome associated with remote evaluation (telecardiology) of patients with cardiovascular diseases during the COVID-19 pandemic

Introduction

During the recent COVID-19 outbreak, Italian health authorities mandated to replace in-person outpatient evaluations with remote evaluations.

Methods

From March 16th 2020 to April 22th 2020, all outpatients scheduled for in-person cardiac evaluations were instead evaluated by phone. We aimed to report the short-term follow-up of 345 patients evaluated remotely and to compare it with a cohort of patients evaluated in-person during the same period in 2019.

Results

During a mean follow-up of 54 ± 11 days, a significantly higher proportion of patients evaluated in-person in 2019 visited the emergency department or died for any cause (39/391, 10% versus 13/345 3.7%, p = 0.001) and visited the emergency department for cardiovascular causes (19/391, 4.9% versus 7/345, 2.0%, p = 0.04) compared to 2020. No cardiovascular death was recorded in the two periods. To an evaluation with a satisfaction questionnaire 49% of patients would like to continue using remote controls in addition to traditional ones.

Conclusion

These findings may have important implications for the management of patients during the current COVID-19 pandemic because they suggest that remote cardiovascular evaluations may replace in-hospital visits for a limited period.