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Percorrer por autor "Moniz, M."

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  • Prevalence and risk factors for post COVID condition 12 months after a test: evidence from a Portuguese region
    Publication . Moniz, M.; Ruivinho, Carolina; Goes, Ana Rita; Soares, Patrícia; Leite, Andreia; LOCUS group
    Background/Objectives: PCC prevalence estimates vary widely. Additionally, its development is associated with multiple factors, from individual characteristics to the broader impacts of the pandemic. The aim of this study was to characterise the prevalence of symptoms 12 months after SARS-CoV-2 testing, comparing individuals with positive and negative test results, and to analyse the factors associated with the prevalence of Long COVID symptoms in individuals with a positive test in Lisbon and Tagus Valley. Methods: Cross-sectional study with individuals randomly selected from the National Epidemiological Surveillance System (SINAVE) of Portugal. We included individuals who underwent a SARS-CoV-2 test in August 2022, resided in the Lisbon and Tagus Valley region, were 18 years or older, and consented to participate. PCC was defined as the presence of #1 1 symptom 12 months after testing. Prevalence (Pr) was estimated for participants with positive and negative test results, with the respective 95% confidence interval (95%CI). To study the factors associated with Long COVID, we considered individuals with a positive test and applied a robust Poisson regression to estimate prevalence ratios (PR), with the respective 95%CI. Results: A total of 6,642 individuals were contacted, and the final sample included 699 individuals: 226 with a negative test and 473 with a positive test. PCC symptoms were slightly higher in individuals who tested positive (Pr: 41.65, 95%CI: 37.17; 46.24) than negative (Pr: 35.84, 95%CI: 29.59; 42.47), with confidence interval overlapping. Fatigue was the most prevalent symptom, particularly among positive individuals (Pr: 18.39, 95%CI: 15.00; 22.18 vs. 10.18, 95%CI: 6.56; 14.88). Factors associated with PCC symptoms were female (PR: 1.48 95%CI: 1.13; 1.96), age (PR: 1.01, 95%CI: 1.00; 1.02), number of symptoms during COVID-19 infection (PR: 1.06, 95%CI: 1.03; 1.09) and smoking (PR: 1.39, 95%CI: 1.08; 1.79). Conclusions/Recommendations: Most of the symptoms analysed did not show a higher prevalence in those who tested positive, highlighting the need to distinguish these symptoms from other postviral conditions and the broader effects of the pandemic. Factors associated with higher risk of PCC symptoms, highlight the importance of targeted follow-up and preventive strategies for these individuals. As our sample is predominantly composed of cases that did not require hospital care during the acute infection, the results also emphasise that symptoms can emerge in non-severe cases, representing a wider range of people at risk.
    2025-09Documento de conferência Acesso aberto Ver mais
  • Spatiotemporal trends in dementia hospitalisation and mortality rates between 2010-2019: the Portuguese case
    Publication . Moniz, M.; Alvez, Joana; Leite, Andreia
    Background/Objectives: Dementia affects over 55 million people worldwide and is a leading cause of death and disability, with cases expected to rise due to ageing. In Portugal, dementia prevalence is projected to reach 2.5% by 2040. Dementia increases hospitalisation risk, being the most common neurodegenerative disease-related hospitalisation in Portugal (43.4%). Despite previous studies, there is a lack of detailed spatial analysis on dementia trends in Portugal. Thus, we aimed to analyse spatiotemporal trends of dementia at the municipal level, focusing on hospitalisation and mortality. Methods: This ecological study analysed dementia hospitalisation and mortality rates in Portugal from 2010 to 2019 among individuals aged 55 and older. Hospitalisation data was retrieved from the Portuguese public hospitals administrative data (Base de Dados de Morbilidade Hospitalar) (2010–2018). Statistics Portugal provided mortality. Dementia cases were identified using ICD-9 and ICD-10. Crude rates were obtained using population data from Statistics Portugal, overall and stratified by region, municipality and year and then standardised by age and sex. We used a spatiotemporal clustering analysis with SaTScan to identify high-risk mortality and hospitalisation municipalities. Results: We ascertained 271,197 episodes of dementia-related hospitalisation between 2010 and 2018. The highest dementia-related hospitalisation rate per 10,000 habitants was observed in 2016 in Vila de Rei [297.48, 95% confidence interval (95%CI): 222.17;390.11]. When standardised by age and sex, Mesão Frio presented the highest rate 217.2 (95%CI: 145.9;314.2) in the same year. Four spatiotemporal clusters were found, where the number of dementia-related hospitalisations were significatively higher than expected. The clusters were mainly in the North, all between 2014 and 2016. Mortality wise, there was 52,267 dementia-related deaths between 2010 and 2019. At the municipality level, the highest mortality rate was in 2015 in Monforte, both crude [553.30 (95%CI: 429.7;701.4) per 10,000] and standardised [581.4 (95%CI: 443.2;752.3)]. We identified seven spatiotemporal clusters, mainly in the North and Azores, between 2015 and 2019. Conclusions/Recommendations: We identified geographic disparities in hospitalisation and mortality rates, with high-risk clusters found mainly in the North. The presence of multiple high-risk clusters suggests underlying local factors influencing dementia-related outcomes, emphasising the importance of resource allocation to mitigate dementia’s impact in high-risk municipalities.
    2025-09Documento de conferência Acesso embargado Ver mais