Percorrer por autor "Ramos, M. Rosário"
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- As amputações realizadas em Portugal de 2000 a 2023: análise de uma realidadePublication . Matos, José Pedro; Matos, Mariana; Ramos, M. Rosário; Ricardo, Diogo; Carolino, ElisabeteAmputation, whether surgical or traumatic, entails the loss of a body segment due to irreparable injury caused by trauma, vascular conditions, or other pathologies. Among individuals with diabetes, amputation remains one of the most feared and recognized outcomes. However, early diagnosis and timely intervention could prevent approximately 50% of diabetes-related amputations and ulcerations. This retrospective observational cross-sectional study draws on data from the Hospital Morbidity Database (BDGDH), provided by the Central Administration of the Health System (ACSS) under the Ministry of Health. This study focuses on amputations in diabetic patients in Portugal, particularly from 2000 to 2023. It aims to update statistical results and projections using current data to inform health planning and optimize resource allocation. The research uses data from the Hospital Morbidity Database, analysing factors such as year, age group, gender, and diagnosis codes. Poisson regression and Negative Binomial models were applied to estimate annual amputation rates and forecast future trends. The findings will help compare national trends with international standards, guiding public health policies and supporting prevention and early diagnosis programs to reduce the socio-economic impact of amputations.
- Amputations in diabetics: statistical modelling and trends in Portugal (2000-2023)Publication . Carolino, Elisabete; Matos, José Pedro; Ricardo, Diogo; Ramos, M. RosárioAmputation, whether surgical or traumatic, entails the loss of a body segment due to irreparable injury caused by trauma, vascular conditions, or other pathologies. Among individuals with diabetes, amputation remains one of the most feared and recognized outcomes. However, early diagnosis and timely intervention could prevent approximately 50% of diabetes-related amputations and ulcerations. This retrospective observational cross-sectional study draws on data from the Hospital Morbidity Database (BDGDH), provided by the Central Administration of the Health System (ACSS) under the Ministry of Health. This study focuses on amputations in diabetic patients in Portugal, particularly from 2000 to 2023. It aims to update statistical results and projections using current data to inform health planning and optimize resource allocation. The research uses data from the Hospital Morbidity Database, analysing factors such as year, age group, gender, and diagnosis codes. Poisson regression and Negative Binomial models were applied to estimate annual amputation rates and forecast future trends. The findings will help compare national trends with international standards, guiding public health policies and supporting prevention and early diagnosis programs to reduce the socio-economic impact of amputations.
- Characterization of 24 years of amputations performed in Portugal (2000-2023)Publication . Matos, José Pedro; Matos, Mariana; Ramos, M. Rosário; Ricardo, Diogo; Carolino, ElisabeteAmputation, whether surgical or traumatic, entails the loss of a body segment due to irreparable injury caused by trauma, vascular conditions, or other pathologies. Among individuals with diabetes, amputation remains one of the most feared and recognized outcomes. However, early diagnosis and timely intervention could prevent approximately 50% of diabetes-related amputations and ulcerations. This retrospective observational cross-sectional study draws on data from the Hospital Morbidity Database (BDGDH), provided by the Central Administration of the Health System (ACSS) under the Ministry of Health. This study focuses on amputations in diabetic patients in Portugal, particularly from 2000 to 2023. It aims to update statistical results and projections using current data to inform health planning and optimize resource allocation. The research uses data from the Hospital Morbidity Database, analysing factors such as year, age group, gender, and diagnosis codes. Poisson regression and Negative Binomial models were applied to estimate annual amputation rates and forecast future trends. The findings will help compare national trends with international standards, guiding public health policies and supporting prevention and early diagnosis programs to reduce the socio-economic impact of amputations.
- Projection of the number of amputations in diabetics: an aid for the planning of sustainable Portuguese health servicesPublication . Carolino, Elisabete; Matos, José Pedro; Ramos, M. RosárioAmputation is the loss (surgical or traumatic) of a segment of the body, applied in the event of an injury (traumatic, vascular, or other) that has irreparably affected the human being, causing functional limitation. Amputation also represents a considerable negative socio-economic impact for families and governments. Knowing the numbers, and establishing the prevalence and future trends in limb loss is important for health care planning and for the rational allocation of resources, as a response to the growing indicators of demand for prostheses and related services. Diabetes is known as one of the leading causes of morbidity and mortality worldwide. Portugal is the fourth country in the European Union with the highest incidence rate of diabetes, according to the IDF Atlas (International Diabetes Federation, 2021). In the Annual Report of the National Diabetes Observatory - 2019 Edition, it is estimated that in 2018 there will be between 605 and 618 new cases of diabetes per 100,000 inhabitants. Although diabetes prevalence data are updated annually in Portugal through the INSA - Médicos Sentinela, with the COVID-19 pandemic, it is estimated that at least 20,000 diabetics have not had access to the necessary conditions for an early diagnosis. Therefore, data from this period underestimate the prevalence rate of Diabetes. The prevalence of complications related to diabetes, namely diabetic foot, tends to increase with the increasing number of people with the pathology. Studies show that 1 in 7 diabetics will develop foot ulcers in their lifetime, which is a risk factor for amputation. Amputation is probably the most feared and recognized complication of diabetes. It is estimated that about 50% of amputations and ulcerations can be prevented by evaluating the foot, and degree of risk of ulceration, thus allowing the implementation of preventive strategies. The main objectives of this work are: i) quantify and characterize the amputations performed in Portugal from the year 2000 to the present; ii) Model, estimate and predict the number of amputations by etiology and by level for the future. This is a retrospective observational cross-sectional study, designed using the Hospital Morbidity Database (BDGDH), for episodes with amputations, provided by the Central Administration of the Health System, IP. (ACSS), supervised by the Ministry of Health. The data refer to hospitalizations related to amputations in public hospitals of the National Health Service (SNS) in the mainland, which occurred between 2000 and 2019. It includes the dependent variables, calendar year, age, district (place of birth), gender, etiology, and level of amputation. It consists of the 20 initial records of diagnoses and the respective procedures associated with each episode of hospital admission. The disease and procedure criteria were defined according to the International Statistical Classification of Diseases, Injuries and Causes of Death, in the 9th revision of 1975 (ICD-9), with the respective code limits. Annual trends were estimated through Poisson regression models as well as the future incidence rates, sex, and age group stratified. Incidence rate projections were adjusted to the distribution of the resident population in mainland Portugal, considering the Portuguese statistical projections (National Institute of Statistics - INE).
- Spatial and multivariate statistics in assessing water quality in the North SeaPublication . Ody, Christopher; Ramos, M. Rosário; Carolino, ElisabeteThe Southern North Sea region plays a vital role in both the economy and society of the surrounding countries. Analyzing the quality of your water is a critical process that involves an assessment of physical, chemical, and biological parameters, essential to guarantee environmental sustainability and the health of local communities and marine ecosystems. Using Multivariate and Spatial Statistics methods, this study seeks to identify spatial patterns and autocorrelations to assess water quality in that region. The data set used was taken on a scientific cruise carried out in December 2020 aboard the RV Meteor vessel, led by a team of German researchers. The raw data went through pretreatment guided by the Data Quality Control protocol of SeaDataNet, an international oceanography project aimed at making European maritime data available. Spike and gradient tests were performed, in addition to data standardization and imputation through inverse distance weighting interpolation. For a better understanding of the scientific area, the data were aggregated by zones for certain analyses and were sometimes considered globally. An exploratory spatial data analysis (ESDA) was carried out to summarize its main characteristics. A reduction in the dimensionality of the original data was carried out through principal component analysis as an auxiliary tool for spatial analysis. The Spatial autocorrelation is analyzed by calculating global and local Moran’s I Statistics. The outcomes indicate a significant spatial autocorrelation for all variables considered in the freshwater areas and a notable range flattening of the variables in the open sea areas, which possibly caused the lack of significant spatial autocorrelation in those areas.