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1.
Environ Sci Pollut Res Int ; 28(30): 41423-41430, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1159310

ABSTRACT

In vulnerable subjects, the increase in air pollution worsens the signs of myocardial ischemia. Lockdown during COVID-19 pandemics substantially cleaned the air. The objective of this is to assess the effects of air cleaning due to lockdown on stress echocardiography (SE) results. We enrolled 19 patients with chronic coronary artery disease and/or heart failure referred to SE (semi-supine bicycle exercise, n = 8, or dipyridamole, n = 11). Before and soon after lockdown, we assessed regional wall motion abnormalities (abnormal value: worsening of ≥ 2 segments), B-lines (a sign of pulmonary congestion, 4-site simplified scan, abnormal value ≥ 2), and coronary flow velocity reserve in left anterior descending artery (CFVR, abnormal value < 2.0). Local air quality indicators (same day of SE) of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) were obtained from publicly available data sets of the regional authority of environmental protection. After lockdown, NO2 concentration decreased from 19 ± 10 to 10 ± 4 µg/m3 (p = 0.006). After lockdown, abnormal responses remained unchanged for ischemia (21% vs 16%, p = ns) and decreased for B-lines (42% vs 5%, p = 0.008) and CFVR (84 vs 42%, p = 0.007). Changes in coronary flow velocity reserve (CFVR) were correlated to same-day variations in NO2 (r = -0.578, p = 0.010) and preceding 30-day changes in PM2.5 (r = -0.518, p = 0.023). After lockdown, air cleaning was associated with a beneficial effect on coronary small vessel dysfunction and alveolar-capillary barrier distress mirrored by improvement of CFVR and B-lines during SE in vulnerable patients. ClinicalTrials.gov Identifier: NCT 030.49995.


Subject(s)
Air Pollution , COVID-19 , Coronary Artery Disease , Heart Failure , Communicable Disease Control , Humans , SARS-CoV-2
2.
Epidemiol Prev ; 44(5-6 Suppl 2): 400-406, 2020.
Article in Italian | MEDLINE | ID: covidwho-1068164

ABSTRACT

BACKGROUND: scientific literature indicates that there are sex, and gender differences in the development, symptomatology and evolution of different diseases, in the response to drugs and in the therapeutic pathways. Even in the COVID-19 epidemic some sex/gender differences emerged. OBJECTIVES: to analyze COVID-19 epidemic data by gender and age in Italy, Germany, Spain, and Sweden, characterized by having implemented different pandemic containment policies, with the aim of observing any characteristics that can be interpreted with the lens of sex/gender differences. MATERIALS AND METHODS: we used confirmed cases and deaths associated with COVID-19 for Italy, Spain, Germany, and Sweden from respective national surveillance databases. Mortality data for Italy were also analysed. The period of investigation was March-May 2020. As indicators, we used the case fatality ratio adjusted for time delay and SMR for mortality. RESULTS: women are more vulnerable to COVID- 19 infection in the 30-60-year age group. Case fatality ratio is higher in men than women, with a ratio men/women equal to 1.7 in Italy, Spain, and Sweden and 1,4 in Germany. The ratio increases in the lower age groups. The analysis of the mortality data observed/expected in Italy in the same period with respect to 2015-2019 shows a comparable excess with SMR equal to 132 for men and 127 for women. CONCLUSIONS: COVID-19 affects both genders with some differences in the incidence, higher in women, and lethality, higher in men. These differences highlight the need to better understand the sex/gender and age interaction both for epidemiological surveillance and for a better gender-appropriateness of the ongoing prophylactic and therapeutic treatments. This would be possible if all health indicators (symptoms, past illnesses, primary and hospital-level health care, hospitalization, etc.) were provided by age and gender. Analysis of the causes of death could help to better understand the increase in mortality for both genders, in particular for women, for whom a lower lethality for COVID-19 appears from data.


Subject(s)
COVID-19/mortality , Pandemics , SARS-CoV-2 , Sex Distribution , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , Cause of Death , Child , Child, Preschool , Databases, Factual , Female , Germany/epidemiology , Humans , Incidence , Infant , Infant, Newborn , Italy/epidemiology , Male , Middle Aged , Mortality/trends , Quarantine , Spain/epidemiology , Sweden/epidemiology , Time Factors , Young Adult
3.
Eur J Epidemiol ; 36(2): 213-218, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-1047292

ABSTRACT

Since the beginning of the COVID-19 pandemic, data have been accumulated to examine excess mortality in the first half of 2020. Mortality in the preceding year or years is used to calculate the expected number of deaths, which is then compared with the actual number of deaths in 2020. We calculated weekly age- and sex-specific mortality rates for 93.1% of the Italian municipalities for the years 2015-2019 and for the first 26 weeks in 2020. We assumed the mortality experience during 2015-2019 as the reference period to calculate standardised mortality ratios. Furthermore, in order to compare the mortality experience of males and females, we calculated sex- and age- specific weekly direct standardised mortality rates and differences between the observed and expected number of deaths. We observed considerable changes in the demographics in the Italian population between the years 2015 and 2020, particularly among people 60 years and older and among males. The population is aging and the proportion of elderly males has increased, which was not reflected adequately in previous estimates of excess mortality. Standardized excess mortality results show that in Italy between the 8th and 26th weeks in 2020, there were 33,035 excess deaths, which is only 643 fewer deaths than the official COVID-19 death toll for this time period. A comparative increase in the mortality rates was observed in March among both sexes, but particularly for males. Comparisons with recently published data show considerably higher excess deaths, but these data were either not covering the complete country or did not account for age and sex. Neglecting the demographic changes in a region, even over a short time span, can result in biased estimates.


Subject(s)
COVID-19/epidemiology , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , Child , Child, Preschool , Female , Humans , Infant , Italy/epidemiology , Male , Middle Aged , Pandemics , SARS-CoV-2 , Sex Distribution , Young Adult
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