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  1. Article ; Online: Advancing the Cardiovascular Workforce in Africa to Tackle the Epidemic of Cardiovascular Disease: The Time is Now.

    Ahadzi, Dzifa / Gaye, Bamba / Commodore-Mensah, Yvonne

    Global heart

    2023  Volume 18, Issue 1, Page(s) 20

    Abstract: The African region is experiencing an epidemic of cardiovascular disease with dire consequences of increasing morbidity and mortality. Compared with high-income countries where older populations are most affected, the burden of CVD in Africa is higher in ...

    Abstract The African region is experiencing an epidemic of cardiovascular disease with dire consequences of increasing morbidity and mortality. Compared with high-income countries where older populations are most affected, the burden of CVD in Africa is higher in the younger populations, which hampers regional socioeconomic development. Strategies to increase and advance the cardiovascular workforce are urgently needed to help address this problem. This commentary highlights the critical lack of skilled cardiovascular healthcare professionals, including cardiologists, cardiac surgeons, and cardiovascular nurses in the African region. Multilevel viable solutions to advance the cardiovascular workforce in Africa based on successful models in Africa are also presented.
    MeSH term(s) Humans ; Cardiovascular Diseases/epidemiology ; Cardiovascular Diseases/prevention & control ; Africa/epidemiology ; Workforce ; Health Personnel ; Morbidity
    Language English
    Publishing date 2023-04-21
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2629633-0
    ISSN 2211-8179 ; 2211-8160
    ISSN (online) 2211-8179
    ISSN 2211-8160
    DOI 10.5334/gh.1197
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Advancing the Cardiovascular Workforce in Africa to Tackle the Epidemic of Cardiovascular Disease

    Dzifa Ahadzi / Bamba Gaye / Yvonne Commodore-Mensah

    Global Heart, Vol 18, Iss 1, Pp 20-

    The Time is Now

    2023  Volume 20

    Abstract: The African region is experiencing an epidemic of cardiovascular disease with dire consequences of increasing morbidity and mortality. Compared with high-income countries where older populations are most affected, the burden of CVD in Africa is higher in ...

    Abstract The African region is experiencing an epidemic of cardiovascular disease with dire consequences of increasing morbidity and mortality. Compared with high-income countries where older populations are most affected, the burden of CVD in Africa is higher in the younger populations, which hampers regional socioeconomic development. Strategies to increase and advance the cardiovascular workforce are urgently needed to help address this problem. This commentary highlights the critical lack of skilled cardiovascular healthcare professionals, including cardiologists, cardiac surgeons, and cardiovascular nurses in the African region. Multilevel viable solutions to advance the cardiovascular workforce in Africa based on successful models in Africa are also presented.
    Keywords africa ; cardiovascular disease ; health workforce ; health systems ; Diseases of the circulatory (Cardiovascular) system ; RC666-701 ; Public aspects of medicine ; RA1-1270
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher Ubiquity Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Security in BioMedical Research publications.

    Gaye, Bamba / Khoury, Stéphanie / Sutter, Willy / Jouven, Xavier

    European heart journal

    2021  Volume 42, Issue 22, Page(s) 2141–2142

    MeSH term(s) Bibliometrics ; Biomedical Research ; Humans ; Publications
    Language English
    Publishing date 2021-03-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 603098-1
    ISSN 1522-9645 ; 0195-668X
    ISSN (online) 1522-9645
    ISSN 0195-668X
    DOI 10.1093/eurheartj/ehaa345
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Predictive machine learning models for ascending aortic dilatation in patients with bicuspid and tricuspid aortic valves undergoing cardiothoracic surgery: a prospective, single-centre and observational study.

    Gaye, Bamba / Vignac, Maxime / Gådin, Jesper R / Ladouceur, Magalie / Caidahl, Kenneth / Olsson, Christian / Franco-Cereceda, Anders / Eriksson, Per / Björck, Hanna M

    BMJ open

    2024  Volume 14, Issue 3, Page(s) e067977

    Abstract: Objectives: The objective of this study was to develop clinical classifiers aiming to identify prevalent ascending aortic dilatation in patients with bicuspid aortic valve (BAV) and tricuspid aortic valve (TAV).: Design and setting: A prospective, ... ...

    Abstract Objectives: The objective of this study was to develop clinical classifiers aiming to identify prevalent ascending aortic dilatation in patients with bicuspid aortic valve (BAV) and tricuspid aortic valve (TAV).
    Design and setting: A prospective, single-centre and observational cohort.
    Participants: The study involved 543 BAV and 491 TAV patients with aortic valve disease and/or ascending aortic dilatation, excluding those with coronary artery disease, undergoing cardiothoracic surgery at the Karolinska University Hospital (Sweden).
    Main outcome measures: Predictors of high risk of ascending aortic dilatation (defined as ascending aorta with a diameter above 40 mm) were identified through the application of machine learning algorithms and classic logistic regression models.
    Exposures: Comprehensive multidimensional data, including valve morphology, clinical information, family history of cardiovascular diseases, prevalent diseases, demographic details, lifestyle factors, and medication.
    Results: BAV patients, with an average age of 60.4±12.4 years, showed a higher frequency of aortic dilatation (45.3%) compared with TAV patients, who had an average age of 70.4±9.1 years (28.9% dilatation, p <0.001). Aneurysm prediction models for TAV patients exhibited mean area under the receiver-operating-characteristic curve (AUC) values above 0.8, with the absence of aortic stenosis being the primary predictor, followed by diabetes and high-sensitivity C reactive protein. Conversely, prediction models for BAV patients resulted in AUC values between 0.5 and 0.55, indicating low usefulness for predicting aortic dilatation. Classification results remained consistent across all machine learning algorithms and classic logistic regression models.
    Conclusion and recommendation: Cardiovascular risk profiles appear to be more predictive of aortopathy in TAV patients than in patients with BAV. This adds evidence to the fact that BAV-associated and TAV-associated aortopathy involves different pathways to aneurysm formation and highlights the need for specific aneurysm preventions in these patients. Further, our results highlight that machine learning approaches do not outperform classical prediction methods in addressing complex interactions and non-linear relations between variables.
    MeSH term(s) Humans ; Middle Aged ; Aged ; Aortic Valve/surgery ; Heart Valve Diseases/complications ; Heart Valve Diseases/surgery ; Prospective Studies ; Dilatation ; Aortic Diseases/complications ; Bicuspid Aortic Valve Disease ; Aneurysm
    Language English
    Publishing date 2024-03-20
    Publishing country England
    Document type Observational Study ; Journal Article
    ZDB-ID 2599832-8
    ISSN 2044-6055 ; 2044-6055
    ISSN (online) 2044-6055
    ISSN 2044-6055
    DOI 10.1136/bmjopen-2022-067977
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: High adherence to the French dietary guidelines decreases type 2 diabetes risk in females through pathways of obesity markers: Evidence from the E3N-EPIC prospective cohort study.

    Seck, Daouda / Shah, Sanam / Correia, Emmanuelle / Marques, Chloé / Varraso, Raphaëlle / Gaye, Bamba / Boutron-Ruault, Marie-Christine / Laouali, Nasser

    Nutrition (Burbank, Los Angeles County, Calif.)

    2024  Volume 124, Page(s) 112448

    Abstract: Objective: Obesity and type 2 diabetes (T2D) have been associated with low adherence to the 2017 French food-based dietary guidelines, as assessed by the Programme National Nutrition Santé - guidelines score 2 (PNNS-GS2). Whether the association between ...

    Abstract Objective: Obesity and type 2 diabetes (T2D) have been associated with low adherence to the 2017 French food-based dietary guidelines, as assessed by the Programme National Nutrition Santé - guidelines score 2 (PNNS-GS2). Whether the association between T2D and PNNS-GS2 is direct or mediated by obesity has been little investigated.
    Research methods: The study included 71,450 women from the E3N-EPIC cohort, mean age of 52.9 y (SD 6.7). The simplified PNNS-GS2 was derived via food history questionnaire. Multivariable Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of T2D. Causal mediation analyses were used to decompose the total effect of sPNNS-GS2 on T2D into a direct effect and indirect effect mediated by body mass index (BMI) or the waist-hip ratio (WHR).
    Results: During a mean follow-up of 19 y, 3679 incident T2D cases were identified and validated. There was a linear association between adherence to sPNNS-GS2 and T2D (P-nonlinearity = 0.92). In the fully adjusted model, each 1-SD increase in the sPNNS-GS2 was associated with a lower T2D risk [HR (95% CI), 0.92 (0.89, 0.95)]. The overall associations were mainly explained by sPNNS-GS2-associated excess weight, with BMI and WHR mediating 52% and 58% of the associations, respectively.
    Conclusions: Higher adherence to French food-based dietary guidelines was associated with a lower risk of T2D in women, and a significant portion of this effect could be attributed to excess weight measured by BMI or WHR. This finding helps better understand the mechanisms underlying the diet-T2D association.
    Language English
    Publishing date 2024-04-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 639259-3
    ISSN 1873-1244 ; 0899-9007
    ISSN (online) 1873-1244
    ISSN 0899-9007
    DOI 10.1016/j.nut.2024.112448
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Denominator matters in estimating COVID-19 mortality rates.

    Gaye, Bamba / Fanidi, Anouar / Jouven, Xavier

    European heart journal

    2020  Volume 41, Issue 37, Page(s) 3500

    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections/diagnosis ; Coronavirus Infections/mortality ; Humans ; Mortality ; Pandemics ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/mortality ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-04-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 603098-1
    ISSN 1522-9645 ; 0195-668X
    ISSN (online) 1522-9645
    ISSN 0195-668X
    DOI 10.1093/eurheartj/ehaa282
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Association of Life's Simple 7 and ideal cardiovascular health in American Indians/Alaska Natives.

    Rawal, Smita / Johnson, Blake Ryan / Young, Henry Nolan / Gaye, Bamba / Sattler, Elisabeth Lilian Pia

    Open heart

    2023  Volume 10, Issue 1

    Abstract: Objective: American Indians and Alaska Natives (AI/ANs) are an understudied population at high risk for cardiovascular diseases (CVDs); little is known about contextual factors contributing to CVDs in AI/ANs. This study examined the association of Life' ... ...

    Abstract Objective: American Indians and Alaska Natives (AI/ANs) are an understudied population at high risk for cardiovascular diseases (CVDs); little is known about contextual factors contributing to CVDs in AI/ANs. This study examined the association of Life's Simple 7 (LS7) factors and social determinants of health (SDH) with CVD outcomes in a nationally representative sample of AI/ANs.
    Methods: We conducted a cross-sectional study of 8497 AI/ANs using 2017 Behavioural Risk Factor Surveillance Survey data. Individual LS7 factors were summarised as ideal and poor levels. Coronary heart disease, myocardial infarction and stroke were defined as CVD outcomes. Healthcare access measures represented SDH. Logistic regression analyses examined associations of LS7 factors and SDH with CVD outcomes. Population attributable fractions (PAFs) quantified individual contributions of LS7 factors to CVD outcomes.
    Results: N=1,297 (15%) participants with CVD outcomes were identified. Smoking, physical inactivity, diabetes, hypertension and hyperlipidaemia were LS7 factors associated with CVD outcomes. Hypertension was the largest contributor to CVD (aPAF 42%; 95% CI 37% to 51%), followed by hyperlipidaemia (aPAF 27%; 95% CI 17% to 36%) and diabetes (aPAF 18%; 95% CI 7% to 23%). Compared with individuals with poor LS7 levels, participants with ideal levels showed 80% lower odds of CVD outcomes (aOR 0.20; 95% CI 0.16 to 0.25). Access to health insurance (aOR 1.43, 95% CI 1.08 to 1.89) and a regular care provider (aOR 1.47, 95% CI 1.24 to 1.76) were associated with CVD outcomes.
    Conclusions: Effective interventions are needed to address SDH and attain ideal LS7 factors to improve cardiovascular health among AI/ANs.
    MeSH term(s) Humans ; American Indian or Alaska Native/statistics & numerical data ; Cross-Sectional Studies ; Hypertension/complications ; Hypertension/epidemiology ; Myocardial Infarction/epidemiology ; Myocardial Infarction/etiology ; Cardiovascular Diseases/epidemiology ; Cardiovascular Diseases/etiology ; Social Determinants of Health/ethnology ; Social Determinants of Health/statistics & numerical data ; Risk Assessment/statistics & numerical data ; Risk Factors ; Heart Disease Risk Factors ; Health Status Indicators ; Health Behavior ; United States/epidemiology
    Language English
    Publishing date 2023-04-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 2747269-3
    ISSN 2053-3624
    ISSN 2053-3624
    DOI 10.1136/openhrt-2022-002222
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Strategies to control COVID-19 and future pandemics in Africa and around the globe.

    Fanidi, Anouar / Jouven, Xavier / Gaye, Bamba

    European heart journal

    2020  Volume 41, Issue 41, Page(s) 3973–3975

    MeSH term(s) Africa/epidemiology ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/diagnosis ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Humans ; Pandemics/prevention & control ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-04-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 603098-1
    ISSN 1522-9645 ; 0195-668X
    ISSN (online) 1522-9645
    ISSN 0195-668X
    DOI 10.1093/eurheartj/ehaa278
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Letter by Vignac et al Regarding Article, "Cumulative Psychosocial Stress and Ideal Cardiovascular Health in Older Women".

    Vignac, Maxime / Pechmajou, Louis / Gaye, Bamba

    Circulation

    2019  Volume 140, Issue 14, Page(s) e715

    MeSH term(s) Aged ; Cardiovascular System ; Female ; Humans ; Risk Factors ; Stress, Psychological
    Language English
    Publishing date 2019-09-30
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 80099-5
    ISSN 1524-4539 ; 0009-7322 ; 0069-4193 ; 0065-8499
    ISSN (online) 1524-4539
    ISSN 0009-7322 ; 0069-4193 ; 0065-8499
    DOI 10.1161/CIRCULATIONAHA.119.040997
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Cardiovascular Risk Factors From Childhood and Midlife Cognitive Performance.

    Waldmann, Victor / Gaye, Bamba

    Journal of the American College of Cardiology

    2017  Volume 70, Issue 15, Page(s) 1945–1946

    MeSH term(s) Cardiovascular Diseases ; Child ; Cognition ; Finland ; Humans ; Longitudinal Studies ; Neuropsychological Tests ; Risk Factors
    Language English
    Publishing date 2017-10-05
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 605507-2
    ISSN 1558-3597 ; 0735-1097
    ISSN (online) 1558-3597
    ISSN 0735-1097
    DOI 10.1016/j.jacc.2017.06.075
    Database MEDical Literature Analysis and Retrieval System OnLINE

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