Excess all-cause mortality during COVID-19 outbreak: potential role of untreated cardiovascular disease.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has rapidly spread globally. Due to different testing strategies, under-detection of positive subjects and COVID-19-related-deaths remains common. Aim of this analysis was to assess the real impact of COVID-19 through the analysis of 2020 Italian all-cause mortality data compared to historical series. METHODS: We performed a retrospective analysis of 2020 and 2015-2019 all-cause mortality data released by the Italian National Institute for Statistics (ISTAT) for the time period January 1st-March 21st. This preliminary sample included 1084 Italian municipalities showing at least 10 deaths during the above-mentioned timeframe and an increase in mortality of more than 20% as compared to the previous five years (2015-2019), with a resulting coverage of 21% of Italian population. The difference between 2020 observed and expected deaths (mean of weekly deaths in 2015-2019) was computed, together with mortality rate ratio (MRR) for each of the four weeks following detection of the first autochthonous COVID-19 case in Italy (February 23rd, 2020 - March 21st, 2020), as well as for this entire timeframe. Subgroup analysis by age groups was also performed. RESULTS: Overall MRR was 1.79 [1.75-1.84], with an observed excess mortality of 8750 individuals in the investigated sample, which in itself outweighs Italian Civil Protection report of only 4,825 COVID-19-related deaths across Italy, as of March 21. Subgroup analysis did not show any difference in mortality rate in '0-14 years' age group, while MRRs were significantly increased in older age groups, in particular in patients >75 years (MRR 1.84 [1.79-1.89]). In addition, week-by-week analysis showed a progressive increase in MRR during this period, peaking in the last week (March 15th, 2020 - March 21st, 2020) with an estimated value of 2.65 [2.53-2.78]. CONCLUSIONS: The analysis of all-cause mortality data in Italy indicates that reported COVID-19-related deaths are an underestimate of the actual death toll. All-cause death should be seen as the epidemiological indicator of choice to assess the real mortality impact exerted by SARS-CoV-2, given that it also best reflects the toll on frail patient subsets (e.g. the elderly or those with cardiovascular disease).

Virtual visits in HF outpatient management during COVID-19-related lockdown

Aims Following the COVID‐19 pandemic‐related lockdown period in Italy, people have experienced psycho-physical distress. Many hospitals were converted in COVID-19 healthcare places and many specialist outpatient’s services were drastically reduced. Virtual visits may represent a strategy to overcome the lack of HF outpatient’s services, during this period. Our own experience underlines the importance of virtual visits to face the clinical and health status deterioration, associated with COVID-19, in HF outpatients. Methods and results We conducted an observational study, enrolling consecutive HF outpatients, previously hospitalized at the Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences of Sapienza University of Rome, who were discharged within 31 March 2019, and 30 April 2019. Two follow-up periods were scheduled: (i) within 20–30 days after the beginning of lockdown (ii) at 3 months after lockdown’s end. Virtual visits were conducted through telephone, assessing changes in clinical and health status;the latter was assessed through the short version of the Kansas City Cardiomyopathy Questionnaire (KCCQ-12). According to the presence of at least one sign of HF deterioration, patients were divided into two groups: Group 1: patients who experienced a modification in at least one clinical parameter suggestive of HF deterioration. Group 2: patients who do not experienced any modification of HF deterioration clinical parameter. KCCQ-12 mean scores were compared between the two groups, at both scheduled virtual visits, in order to evaluate any change in HF outpatients’ health status, during and after the COVID-19-related-lockdown. 160 HF outpatients have been included in the study: 63 in the group 1, 97 in the group 2. At the first virtual visit, group 1 reported significantly lower mean KCCQ-12 score, compared to group 2 [46.2 (±14.6) vs. 53.8 (±11);CI: 95% 11.6 to − 3.6;P = 0.0003]. At the second virtual visit, group 1 patients reported a slightly, but not statistically significant, lower mean KCCQ-12 score, compared to group 2 [52.2 (± 13.3) vs. 53.1(±14.4);95% CI: −5.4 to 3.6;P = 0.69]. Comparing the KCCQ-12 mean scores of each group between the two scheduled virtual visits, group 1 reported a statistically significant increase at the second visit, compared to the first [52.2 (±13.3) vs. 46.2 (±14.6);CI: 95% 1.1–11;P = 0.017]. Group 2 showed no statistically significant variation of mean KCCQ-12 score between the two follow-up periods [53.1 (±14.4) vs. 53.8 (±11);CI: 95% −4.3 to 3;P = 0.704]. Conclusions we observed a significant worsening of health status in HF outpatients who have experienced clinical deterioration. Therefore, patients were either hospitalized or received the optimization of diuretic and anti-hypertensive therapies. A significant health status improvement was observed at three months after the end of the lockdown, suggesting the importance of virtual visit as an adequate method to follow-up HF outpatients, reporting particular benefits in those with worsening of HF clinical signs and health status.

Gender differences in acute coronary syndromes patterns during the COVID-19 outbreak.

BACKGROUND: Mortality from acute coronary syndromes (ACS) is strictly related to early management. As female patients usually experience longer delays before diagnosis and treatment, we assessed whether women were more affected by the dramatic drop in hospital admissions for ACS during the Covid-19 pandemic. METHODS: We performed a retrospective analysis of clinical and angiographic characteristics of consecutive patients who were admitted for ACS at 15 hospitals in Northern Italy comparing men and women data. The study period was defined as the time between the first confirmed case of Covid-19 in Italy (February 20, 2020) and March 31, 2020. We compared hospitalization rates between the study period and two control periods: the corresponding period during the previous year (February 20 to March 31, 2019) and the earlier period during the same year (January 1 to February 19, 2020). Incidence rate ratios comparing the study period with each of the control periods were calculated with the use of Poisson regression. RESULTS: Of the 547 patients who were hospitalized for ACS during the study period, only 127 (23%) were females, accounting for a mean of 3.1 admissions per day, while ACS hospitalized males were 420, with a mean of 10.2 admissions per day. There was a significant decrease driven by a similar reduction in ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) diagnosis in both sexes compared to the control periods. A trend toward a greater reduction in admitted females was shown in the intra-year control period (46% admission reduction in females vs 37% in males, with females accounting for 26% of ACS, P=0.10) and a significant reduction when compared to the previous year control period (40% admission reduction in females vs 23% in males, with females accounting for 28% of ACS, P=0.03), mainly related to Unstable Angina diagnosis. CONCLUSION: The Covid-19 pandemic period closed the gap between men and women in ACS, with similar rates of reduction of hospitalized STEMI and NSTEMI and a trend toward greater reduction in UA admission among women. Furthermore, many typical differences between males and females regarding ischemic heart disease presentations and vessel distribution were leveled.

Reduction in heart failure hospitalization rate during coronavirus disease 19 pandemic outbreak.

AIMS: The recent coronavirus disease 19 (COVID-19) pandemic outbreak forced the adoption of restraint measures, which modified the hospital admission patterns for several diseases. The aim of the study is to investigate the rate of hospital admissions for heart failure (HF) during the early days of the COVID-19 outbreak in Italy, compared with a corresponding period during the previous year and an earlier period during the same year. METHODS AND RESULTS: We performed a retrospective analysis on HF admissions number at eight hospitals in Italy throughout the study period (21 February to 31 March 2020), compared with an inter-year period (21 February to 31 March 2019) and an intra-year period (1 January to 20 February 2020). The primary outcome was the overall rate of hospital admissions for HF. A total of 505 HF patients were included in this survey: 112 during the case period, 201 during intra-year period, and 192 during inter-year period. The mean admission rate during the case period was 2.80 admissions per day, significantly lower compared with intra-year period (3.94 admissions per day; incidence rate ratio, 0.71; 95% confidence interval [CI], 0.56-0.89; P = 0.0037), or with inter-year (4.92 admissions per day; incidence rate ratio, 0.57; 95% confidence interval, 0.45-0.72; P < 0.001). Patients admitted during study period were less frequently admitted in New York Heart Association (NYHA) Class II compared with inter-year period (P = 0.019). At covariance analysis NYHA class was significantly lower in patients admitted during inter-year control period, compared with patients admitted during case period (P = 0.014). CONCLUSIONS: Admissions for HF were significantly reduced during the lockdown due to the COVID-19 pandemic in Italy.

Higher Testing Coverage Associated With a Lower COVID-19 Mortality Rate: Insights From Italian Regions.

Different coronavirus disease (COVID-19) testing approaches have been implemented among Italian regions, reflected in heterogeneous testing rates. We analyzed the number of COVID-19-related deaths in relation to the number of tests performed among the most affected Italian regions. We showed that regions with the highest number of tests performed (Veneto and Toscana) had the lowest 30-day crude mortality rate per 100 000 inhabitants. In addition, an inverse association between crude mortality rates and tests performed (mortality rate ratio for a unit increase in tests per 1000 inhabitants: 0.92; 95% CI: 0.89-0.94) was observed. Early identification and isolation of active cases (including asymptomatic or mildly symptomatic subjects) could have had an important effect in lowering COVID-19 mortality.