📇 Rhumatologue · LES ABYMES · (971) · Salarié
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Cité 1 fois dans les médias — pédagogie reconnue
Délais de RDV courts dans la région
104 rhumatos / 100 000 hab. — département bien doté
✨ Génération du profil synthétique IA en cours…
Articles déposés en accès libre sur l'archive ouverte des universités françaises (HAL) — gage d'activité de recherche en France.
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Source : HAL — archive ouverte CCSD/CNRS (couvre articles, chapitres EMC, communications congrès, thèses).
C.H.U. DE POINTE-A-PITRE/ABYMES
BP 465, 97139 LES ABYMES
Secteur de conventionnement non disponible (médecin hospitalier ou non présent dans l'Annuaire santé CNAM des libéraux conventionnés).
Lien Doctolib = recherche Google site:doctolib.fr (le 1er résultat est presque toujours le profil correct s'il existe).
Source : Google News (recherche par nom complet — homonymes possibles, vérifier le contenu).
📰 guadeloupe.franceantilles.fr · 18/10/2024
<a href="https://news.google.com/rss/articles/CBMiyAFBVV95cUxOSlBSWE4xX2NwYncxOENjUDlOcFkxUzdqVXgxUUVpRWVWZk1EWXd6YzZKSnhuY3ZnM0w4aUlpVFQ1U29vTXQ1UzFPeElocWdhaEgyOVlCOU9LemZKV0ZmNkdGR1BCc3NOdl83bmxnQjlsX19JNWFkVGMtS3dsTWV5RGlKVmZLTVpRWkdVcGxfR083eXAzeXVDSFpxbU5jR1BORDdfVndxMkpVUl9LOGdJMms0THRTYU1hb2
Frontiers in medicine · 2022
ContextThe COVID-19 pandemic has placed a tremendous stress on healthcare systems and caused reorganization. As the pandemic intensifies, identifying the profile of patients with COVID-19 was primordial in order to predict negative outcomes and organize healthcare resources. Age is associated with COVID-19’s mortality, but for obvious ethical reasons, chronological age cannot be the sole criterion for predicting negative outcomes.ObjectiveThe objective of this study was to determine the relationship between frailty index (FI) and length of hospital stay, and death in a non-COVID population of patients aged 75 years old and above.Methods and designA retrospective, analytical, single-centered observational study was performed in the geriatric short-stay accommodation unit at Guadeloupe University Hospital. For this study, 158 patients who were at least 75 years old were recruited from November 2020 to May 2021. FI was calculated as the number of deficits in a participant divided by the total number of deficits considered (the cut-off of FI is.25 in outpatient). Multivariate logistics regression analyses were conducted to assess the association between frailty and death, and length of stay.ResultsThe average age of the participants was 85.7 ± 6.74 with a range of 75–104. Twenty-four of the patients died during hospitalization. FI was only significantly associated with mortality even after adjustment for age and gender (HR 26.3, 95% CI 1.7–413.4, P = 0.021). The association was stronger in the highest tertile of the FI (age- and gender-adjusted HR 4.6, 95% CI 1.39–15.11, P = 0.01). There was no significant interaction between FI and length of stay.ConclusionOur study shows an association between FI (in terms of age-related deficit accumulation) and mortality in a non-COVID geriatric short-stay unit in Guadeloupe. The FI seems to have a lower capacity to catch events such as length of stay in this very complex population. Further research studies have to be conducted for better understanding and investigation of our findings.
Dementia and geriatric cognitive disorders extra · 2025
Introduction: Cognitive impairment is a major cause of dependency in older people. The aim of this study was to identify factors associated with severe cognitive decline, as assessed by the mini-mental state examination (MMSE), in community-dwelling adults aged 55+ in Cameroon. Method: Data are from a cross-sectional survey carried out in Cameroon. The cognitive status was assessed using the MMSE and a score of 18/30 or lower is considered as a proxy of severe cognitive decline. Result: A total of 403 adults participated in the study. Of these, 16 (3.9%) had an MMSE score <18 and were considered to have cognitive impairment. The rate of severe cognitive decline increased with rising age, from 2.1% in those aged 55–64 years, to 3.3% in those aged 65–74, and 11% in those aged 75 and older. The factors associated with cognitive impairment (MMSE score <18) by multivariate analysis in our population are level of education (OR 0.10 [95% CI: 0.02–0.37], p < 0.01), body mass index (BMI) (OR 0.88 [95% CI: 0.78–0.99], p = 0.03), and IADL score (OR 0.12 [95% CI: 0.03–0.38], p < 0.001). Conclusion: The three main factors associated with cognitive impairment were education, IADL (Instrumental Activity of Daily Living) dependency, and BMI. This study shows that among older people in sub-Saharan Africa, the effect of BMI, IADL dependency, and education on cognitive function appears similar to that observed in middle- and high-income countries.
Source PubMed · Recherche par auteur (homonymes possibles, vérifier l'affiliation).
Dementia and geriatric cognitive disorders extra · 2025 · Journal Article
Simo-Tabue N, Magnerou MA, Mounsamy L, Metamno S, et al.
Aging and disease · 2023 · Journal Article
Fabre I, Tardieu L, Ouissa R, Mounsamy L, et al.
Frontiers in medicine · 2022 · Journal Article
Vainqueur L, Simo-Tabue N, Villeneuve R, Dagonia D, et al.
Healthcare (Basel, Switzerland) · 2024 · Journal Article
Simo-Tabue N, Letchimy L, Mounsamy L, Rinaldo L, et al.