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1.
Glob Heart ; 17(1): 86, 2022.
Article in English | MEDLINE | ID: covidwho-2202677

ABSTRACT

Background: Heart failure (HF) has been described as an emerging pandemic as its prevalence continues to rise with a growing and aging population. HF patients are more vulnerable to infections with higher risk of hospitalisation, morbidity, and mortality. During this COVID-19 pandemic, telemedicine has emerged as an alternative to usual out-patient care. This study aimed to systematically review available literature regarding the effect of telemedicine on mortality, health-related quality of life (HR-QoL), and hospitalisation rate of HF patients. Method: A literature search was conducted on five databases (PubMed, Medline, EMBASE, SCOPUS and Cochrane Central Database) up to 21st May 2022. Data from studies that fulfilled the eligibility criteria were collected and extracted. Included studies were critically appraised using suitable tools and extracted data were synthesized qualitatively. Results: A total of 27 studies were included in the qualitative synthesis with a total of 21,006 patients and sufficient level of bias. Reduction in the mortality rate, HF-related hospitalisation rate, and improvement in the HR-QoL were shown in most of the studies, although only some were statistically significant. Conclusions: The use of telemedicine is a promising and beneficial method for HF patients to acquire adequate health care services. Further studies in this field are needed, especially in developing countries and with standardized method, to provide better services and protections for HF patients. Telemonitoring and patient-centred partnership via interactive communication between healthcare team and patients is central to successful telemedicine implementation. PROSPERO Registration Number: CRD42021271540.


Subject(s)
COVID-19 , Heart Failure , Telemedicine , Humans , Aged , Quality of Life , Physical Distancing , Pandemics , Heart Failure/epidemiology , Heart Failure/therapy , Telemedicine/methods
2.
Public Health ; 211: 136-143, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-1983856

ABSTRACT

OBJECTIVES: This study was to compare the incidence and clinical outcomes of SARS-CoV-2 infection between Italian and non-Italian nationals. STUDY DESIGN: We retrospectively analysed data from the COVID-19 Italian integrated surveillance system (14 September 2020 to 17 October 2021). METHODS: We used multivariable Cox proportional hazards models to estimate the hazard ratio (HR) of infection and, among cases, the HRs of death, hospitalisation and subsequent admission to intensive care unit in non-Italian nationals relative to Italian nationals. Estimates were adjusted for differences in sociodemographic characteristics and in the week and region of diagnosis. RESULTS: Of 4,111,067 notified cases, 336,265 (8.2%) were non-Italian nationals. Compared with Italian nationals, non-Italians showed a lower incidence of SARS-CoV-2 infection (HR = 0.81, 95% confidence interval [CI]: 0.80-0.81). However, once diagnosed, they were more likely to be hospitalised (HR = 1.90, 95% CI: 1.87-1.92) and then admitted to intensive care unit (HR = 1.08, 95% CI: 1.04-1.13), with differences larger in those coming from countries with a lower human development index. Compared with Italian cases, an increased rate of death was observed in non-Italian cases from low-human development index countries (HR = 1.41, 95% CI: 1.23-1.62). The HRs of SARS-CoV-2 infection and severe outcomes slightly increased after the start of the vaccination campaign. CONCLUSIONS: Underdiagnosis and delayed diagnosis in non-Italian nationals could explain their lower incidence compared with Italians and, among cases, their higher probability to present clinical conditions leading to worse outcomes. Facilitating early access to vaccination, diagnosis and treatment would improve the control of SARS-CoV-2 transmission and health outcomes in this vulnerable group.


Subject(s)
COVID-19 , COVID-19/epidemiology , Hospitalization , Humans , Incidence , Retrospective Studies , SARS-CoV-2
3.
Rural Remote Health ; 22(2): 6658, 2022 04.
Article in English | MEDLINE | ID: covidwho-1893584

ABSTRACT

INTRODUCTION: Evidence on the association of socioeconomic deprivation with occurrence of acute myocardial infarction (AMI) is available from international studies and urban settings in western Germany. This study aimed to assess this association based on small geographical areas in a rural setting in eastern Germany. METHODS: This study used routine data of all patients with AMI who were treated in the Hospital Brandenburg in the city of Brandenburg, Germany, between May 2019 and May 2020. Hospitalisation rates of AMI were calculated for postal code regions that were located within the catchment area of the Hospital Brandenburg. Poisson regression was used to compare hospitalisation rates in areas with medium socioeconomic deprivation to areas with high deprivation, controlling for age group, sex and period (before or during COVID-19 pandemic). Publicly available social, infrastructure and healthcare-related features were mapped to characterise the study region. RESULTS: In total, 265 cases of AMI were registered in the study area, which comprised 116,126 inhabitants. The city of Brandenburg was characterised by the highest level of socioeconomic deprivation, while neighbouring areas showed a rural settlement structure and medium levels of deprivation. The number of general practitioners per 10 000 inhabitants did not differ between both areas. The adjusted rate ratio comparing hospitalisations due to AMI in areas with medium socioeconomic deprivation to areas with high socioeconomic deprivation was 0.71 (95%CI 0.56-0.91, p=0.01). CONCLUSION: This study adds evidence about the association of socioeconomic deprivation and AMI occurrence from a rural area in eastern Germany. Further research about the relationship of socioeconomic deprivation and cardiovascular health is needed from heterogeneous contexts.


Subject(s)
COVID-19 , Myocardial Infarction , Germany/epidemiology , Hospitalization , Humans , Myocardial Infarction/epidemiology , Myocardial Infarction/therapy , Pandemics , Socioeconomic Factors
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