Covid-19 pandemic, diabetes and glycemic control: Results of a retrospective cohort study of 230.000 persons with diabetes in tuscany.

BACKGROUND AND AIMS: The COVID-19 pandemic affected the processes of routine care for chronic patients due to disrupted delivery care. The aim of the present study is to verify the COVID-19 pandemic effects on diabetes control and management. METHODS AND RESULTS: The study was designed as a retrospective observational study, performed on two cohorts of patients with diabetes in 2019 and 2020. Data used for the analyses were gathered from administrative and laboratory databases, which do not include any sensible information on COVID-19. The Tuscany Regional Health Agency is data controller for current administrative databases and has been working to produce available information for policy decision-making. In 2020, in comparison with 2019, a relevant reduction of the number of patients measuring HbA1c was observed during the March-April lockdown, and again during the second pandemic wave in Autumn. A similar pattern was observed for specialist visits for diabetes, for which the introduction of televisits only partly compensated for the reduction of traditional office visits. The number of patients receiving drugs for diabetes each week in 2020 was very similar to 2019. The mean HbA1c values and the proportion of HbA1c values > 8% for each week, were higher during the 2020 Spring and Autumn lockdown. CONCLUSION: COVID-19 pandemic negatively impacts diabetes management, reducing specialist visits and HbA1c determinations during the first and second pandemic wave. Despite a satisfactory continuity in pharmacological treatment, short-term impairment of average glycemic control was detected, particularly in Autumn.

Rate and Predictors of Hesitancy toward SARS-CoV-2 Vaccine among Type 2 Diabetic Patients: Results from an Italian Survey.

Vaccine hesitancy (VH) has been identified as one of the major health concerns of our time by the World Health Organization. It may prove especially detrimental in the light of the ongoing SARS-CoV-2 pandemic, as vaccination campaigns still represent the primary strategy against the detrimental consequences of the pandemic. Among patients suffering from type 2 diabetes mellitus (DB), who are particularly vulnerable to COVID-19, VH might represent an even more serious threat. Therefore, our study focuses on identifying potential determinants of VH among patients with type 2 diabetes. Study participants (n = 1176) filled in a two-section online self-administered questionnaire, answering questions regarding demographic and anamnestic data, as well as their intention to accept any vaccination against COVID-19. Some possible reasons underlying VH were investigated as well. An overall hesitancy rate of 14.2% was registered. Data showed how older age, male gender, higher education level, and having been vaccinated for seasonal influenza in 2020-2021 were associated with a significantly higher propensity to receive the COVID-19 vaccine. On the contrary, having experienced adverse effects following past vaccinations was a negative predictor. In addition to confirming an array of predictors of VH, we found a worryingly high prevalence of VH among diabetics, who have been shown to be particularly exposed to severe COVID-19 and death. These findings may be useful in planning targeted action toward acceptance improvement and enhancing the efficacy of vaccination campaigns.

Factors associated with increased all-cause mortality during the COVID-19 pandemic in Italy.

BACKGROUND: The number of excess deaths during February-March 2020 in Italy, in comparison with previous years, was considerably higher than the recorded COVID19-related deaths. The present study aimed to explore the association of excess mortality with some indices related to the COVID-19 pandemic and its management. METHODS: Data on all-cause mortality from 20 February-31 March in the years 2015-2020, and demographic, socioeconomic and healthcare organisation data of each Italian region were obtained from the Italian Institute of Statistics. Non-COVID-19-Imputed Excess Mortality (NCIEM) was calculated as the difference between the excess 2020 mortality and reported COVID-19 mortality. The association of NCIEM with the rate of COVID-19 cases, COVID-19 mortality and other potential moderators was assessed using linear regression models. RESULTS: The nationwide number of excess deaths and COVID-19 deaths was 26,701 and 13,710, respectively, with a difference of 12,991. The NCIEM in different regions showed a direct correlation with COVID-19 mortality (r2 = 0.61, p < 0.001) and total cases (r2 = 0.30, p = 0.012), and an inverse correlation with cases/total tests ratio (r2 = 0.49, p = 0.001). Direct correlations were also found with the proportion of institutionalised elderly, whereas inverse correlations were observed with prevalence of diabetes, cardiovascular mortality and density of general practitioners. CONCLUSIONS: The impact of the COVID-19 pandemic on all-cause mortality was considerably greater than that indicated by official counts of victims. Limited testing capacity and causes of death other than COVID-19 could have contributed to the increase in overall mortality rates.