Literature DB >> 32420119

Multimorbidity and cardiovascular disease: a perspective on low- and middle-income countries.

Friedrich Thienemann1,2,3, Ntobeko A B Ntusi2, Edouard Battegay1,4, Beatrice U Mueller1, Marcus Cheetham1,4.   

Abstract

New and changing patterns of multimorbidity (MM), i.e., multiple concurrent acute or chronic diseases in a person, are emerging in low- and middle-income countries (LMICs). The interplay of underlying population-specific factors and lifestyle habits combined with the colliding epidemics of communicable and non-communicable diseases presents new disease combinations, complexities and risks that are not common in high-income countries (HICs). The complexities and risks include those arising from potentially harmful drug-drug and drug-disease interactions (DDIs), the management of which may be considered as MM in the true sense. A major concern in LMICs is the increasing burden of leading cardiovascular diseases, prevalence of associated risk factors and co-occurrence with other morbidities. New models of MM management and integrated care can respond to the needs of specific multimorbid populations, with some LMICs making substantial progress (e.g., integration of tuberculosis and HIV services in South Africa). But there is a dearth of relevant data on the changing patterns and underlying factors and determinants of MM, the associated complexities and risks of DDIs in MM management, and the barriers to integrated care in LMICs. This requires careful attention. 2020 Cardiovascular Diagnosis and Therapy. All rights reserved.

Entities:  

Keywords:  Africa; Multimorbidity (MM); cardiovascular disease (CVD); low income countries; middle income countries; poverty

Year:  2020        PMID: 32420119      PMCID: PMC7225439          DOI: 10.21037/cdt.2019.09.09

Source DB:  PubMed          Journal:  Cardiovasc Diagn Ther        ISSN: 2223-3652


  61 in total

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3.  Association between socioeconomic status and adiposity in urban Cameroon.

Authors:  Leopold Fezeu; Etienne Minkoulou; Beverley Balkau; André-Pascal Kengne; Paschal Awah; Nigel Unwin; George K M M Alberti; Jean-Claude Mbanya
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Authors:  Naomi S Levitt; Krisela Steyn; Joel Dave; Debbie Bradshaw
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6.  Epidemiology and impact of multimorbidity in primary care: a retrospective cohort study.

Authors:  Chris Salisbury; Leigh Johnson; Sarah Purdy; Jose M Valderas; Alan A Montgomery
Journal:  Br J Gen Pract       Date:  2011-01       Impact factor: 5.386

7.  Prevalence and patterns of multimorbidity among elderly people in rural Bangladesh: a cross-sectional study.

Authors:  Masuma Akter Khanam; Peter Kim Streatfield; Zarina Nahar Kabir; Chengxuan Qiu; Christel Cornelius; Åke Wahlin
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Authors:  Horacio Islas-Granillo; Carlo Eduardo Medina-Solís; María de Lourdes Márquez-Corona; Rubén de la Rosa-Santillana; Miguel Ángel Fernández-Barrera; Juan José Villalobos-Rodelo; César Tadeo Hernández-Martínez; José de Jesús Navarrete-Hernández; Martha Mendoza-Rodríguez
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9.  Socioeconomic Determinants of Multimorbidity: A Population-Based Household Survey of Hong Kong Chinese.

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10.  The multimorbidity interaction severity index (MISI): A proof of concept study.

Authors:  Dimitri Gassmann; Marcus Cheetham; Klarissa Siebenhuener; Barbara M Holzer; Claudine Meindl-Fridez; Florian F Hildenbrand; Vanessa Virgini; Mike Martin; Edouard Battegay
Journal:  Medicine (Baltimore)       Date:  2017-02       Impact factor: 1.817

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  3 in total

1.  Prevalence of multimorbidity in South Africa: a systematic review protocol.

Authors:  Rifqah A Roomaney; Brian van Wyk; Eunice Bolanle Turawa; Victoria Pillay-van Wyk
Journal:  BMJ Open       Date:  2020-12-13       Impact factor: 2.692

2.  Health, psychosocial, and economic impacts of the COVID-19 pandemic on people with chronic conditions in India: a mixed methods study.

Authors:  Kavita Singh; Dimple Kondal; Sailesh Mohan; Suganthi Jaganathan; Mohan Deepa; Nikhil Srinivasapura Venkateshmurthy; Prashant Jarhyan; Ranjit Mohan Anjana; K M Venkat Narayan; Viswanathan Mohan; Nikhil Tandon; Mohammed K Ali; Dorairaj Prabhakaran; Karen Eggleston
Journal:  BMC Public Health       Date:  2021-04-08       Impact factor: 3.295

3.  BMI, waist to height ratio and waist circumference as a screening tool for hypertension in hospital outpatients: a cross-sectional, non-inferiority study.

Authors:  Rajan Shrestha; Sanjib Kumar Upadhyay; Bijay Khatri; Janak Raj Bhattarai; Manish Kayastha; Madan Prasad Upadhyay
Journal:  BMJ Open       Date:  2021-11-25       Impact factor: 3.006

  3 in total

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