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Amputations in diabetics: statistical modelling and trends in Portugal (2000-2023)

2025-04Conference paper Open access
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datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorCarolino, Elisabete
dc.contributor.authorMatos, José Pedro
dc.contributor.authorRicardo, Diogo
dc.contributor.authorRamos, M. Rosário
dc.date.accessioned2025-09-02T14:06:20Z
dc.date.available2025-09-02T14:06:20Z
dc.date.issued2025-04
dc.descriptionThis work is partially financed by national funds through FCT - Fundaçãao para a Ciência e Tecnologia, FCT/MCTES, under the projects: UIDP/05608/2020. DOI 10.54499/UIDP/05608/2020, UIDB/05608/2020. DOI 10.54499/UIDB/05608/2020 – Elisabete Carolino and UIDB/00006/2020. DOI: 10.54499/UIDB/00006/2020 – Rosário Ramos.
dc.description.abstractAmputation, 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.eng
dc.identifier.citationCarolino E, Matos JP, Ricardo D, Ramos MR. Amputations in diabetics: statistical modelling and trends in Portugal (2000-2023). In: SYMCOMP 2025 – 7th International Conference on Numerical and Symbolic Computation: developments and applications, Lisbon (Portugal), April 10-11, 2025.
dc.identifier.urihttp://hdl.handle.net/10400.21/22093
dc.language.isoeng
dc.peerreviewedyes
dc.relation.hasversionhttps://symcomp2025.isel.pt/
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAmputation
dc.subjectDiabetes
dc.subjectPoisson regression
dc.subjectNegative binomial regression
dc.subjectProjections
dc.subjectFCT_UIDP/05608/2020
dc.subjectFCT_UIDB/05608/2020
dc.titleAmputations in diabetics: statistical modelling and trends in Portugal (2000-2023)eng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2025-04
oaire.citation.conferencePlaceLisboa, Portugal
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCarolino
person.familyNameRicardo
person.givenNameElisabete
person.givenNameDiogo
person.identifier.ciencia-id6613-57F2-AE1B
person.identifier.orcid0000-0003-4165-7052
person.identifier.orcid0000-0002-6990-8813
relation.isAuthorOfPublication31223136-1531-4060-aec7-4d3fc8529916
relation.isAuthorOfPublication4318241b-dc45-417d-b20f-51d0414faf7d
relation.isAuthorOfPublication.latestForDiscovery31223136-1531-4060-aec7-4d3fc8529916

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