Comparative performance of cardiovascular risk prediction models in people living with HIV

Background: Current cardiovascular risk assessment in people living with HIV is based on general risk assessment tools; however, whether these tools can be applied in sub-Saharan African populations has been questioned. Objectives: The study aimed to assess cardiovascular risk classification of common cardiovascular disease (CVD) risk prediction models compared to the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) 2010 and 2016 models in people living with HIV. Method: Cardiovascular disease risk was estimated by Framingham Cardiovascular and Heart Disease (FHS-CVD, FHS-CHD), Atherosclerotic Cardiovascular Disease (ASCVD) and D:A:D 2010 and 2016 risk prediction models for HIV-infected participants of the Ndlovu Cohort Study, Limpopo, rural South Africa. Participants were classified to be at low ( 10%), moderate (10% – 20%), or high-risk ( 20%) of CVD within 10 years for general CVD and five years for D:A:D models. Kappa statistics were used to determine agreement between CVD risk prediction models. Subgroup analysis was performed according to age. Results: The analysis comprised 735 HIV-infected individuals, predominantly women (56.7%), average age 43.9 (8.8) years. The median predicted CVD risk for D:A:D 2010 and FHS-CVD was 4% and for ASCVD and FHS-CHD models, 3%. For the D:A:D 2016 risk prediction model, the figure was 5%. High 10-year CVD risk was predicted for 2.9%, 0.5%, 0.7%, 3.1% and 6.6% of the study participants by FHS-CVD, FHS-CHD, ASCVD, and D:A:D 2010 and 2016. Kappa statistics ranged from 0.34 for ASCVD to 0.60 for FHS-CVD as compared to the D:A:D 2010 risk prediction model. Conclusion: Overall, predicted CVD risk is low in this population. Compared to D:A:D 2010, CVD risk estimated by the FHS-CVD model showed similar overall results for risk classification. With the exception of the D:A:D model, all other risk prediction models classified fewer people to be at high estimated CVD risk. Prospective studies are needed to develop and validate CVD risk algorithms in people living with HIV in sub-Saharan Africa. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Irtiza S. Tahir [verfasserIn] Alinda G. Vos [verfasserIn] Johanna A.A. Damen [verfasserIn] Roos E. Barth [verfasserIn] Hugo A. Tempelman [verfasserIn] Diederick E. Grobbee [verfasserIn] Karine Scheuermaier [verfasserIn] Willem D.F. Venter [verfasserIn] Kerstin Klipstein-Grobusch [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	cardiovascular disease risk framingham risk score d:a:d risk score atherosclerotic cardiovascular disease risk score people living with hiv sub-saharan africa

Übergeordnetes Werk:	In: Southern African Journal of HIV Medicine - AOSIS, 2016, 23(2022), 1, Seite e1-e10
Übergeordnetes Werk:	volume:23 ; year:2022 ; number:1 ; pages:e1-e10

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.4102/sajhivmed.v23i1.1395

Katalog-ID:	DOAJ085943886

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520			\|a Background: Current cardiovascular risk assessment in people living with HIV is based on general risk assessment tools; however, whether these tools can be applied in sub-Saharan African populations has been questioned. Objectives: The study aimed to assess cardiovascular risk classification of common cardiovascular disease (CVD) risk prediction models compared to the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) 2010 and 2016 models in people living with HIV. Method: Cardiovascular disease risk was estimated by Framingham Cardiovascular and Heart Disease (FHS-CVD, FHS-CHD), Atherosclerotic Cardiovascular Disease (ASCVD) and D:A:D 2010 and 2016 risk prediction models for HIV-infected participants of the Ndlovu Cohort Study, Limpopo, rural South Africa. Participants were classified to be at low ( 10%), moderate (10% – 20%), or high-risk ( 20%) of CVD within 10 years for general CVD and five years for D:A:D models. Kappa statistics were used to determine agreement between CVD risk prediction models. Subgroup analysis was performed according to age. Results: The analysis comprised 735 HIV-infected individuals, predominantly women (56.7%), average age 43.9 (8.8) years. The median predicted CVD risk for D:A:D 2010 and FHS-CVD was 4% and for ASCVD and FHS-CHD models, 3%. For the D:A:D 2016 risk prediction model, the figure was 5%. High 10-year CVD risk was predicted for 2.9%, 0.5%, 0.7%, 3.1% and 6.6% of the study participants by FHS-CVD, FHS-CHD, ASCVD, and D:A:D 2010 and 2016. Kappa statistics ranged from 0.34 for ASCVD to 0.60 for FHS-CVD as compared to the D:A:D 2010 risk prediction model. Conclusion: Overall, predicted CVD risk is low in this population. Compared to D:A:D 2010, CVD risk estimated by the FHS-CVD model showed similar overall results for risk classification. With the exception of the D:A:D model, all other risk prediction models classified fewer people to be at high estimated CVD risk. Prospective studies are needed to develop and validate CVD risk algorithms in people living with HIV in sub-Saharan Africa.
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allfields	10.4102/sajhivmed.v23i1.1395 doi (DE-627)DOAJ085943886 (DE-599)DOAJc5ab32b0ac984f60a48cfafdf8eac941 DE-627 ger DE-627 rakwb eng RA1-1270 RC109-216 Irtiza S. Tahir verfasserin aut Comparative performance of cardiovascular risk prediction models in people living with HIV 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Current cardiovascular risk assessment in people living with HIV is based on general risk assessment tools; however, whether these tools can be applied in sub-Saharan African populations has been questioned. Objectives: The study aimed to assess cardiovascular risk classification of common cardiovascular disease (CVD) risk prediction models compared to the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) 2010 and 2016 models in people living with HIV. Method: Cardiovascular disease risk was estimated by Framingham Cardiovascular and Heart Disease (FHS-CVD, FHS-CHD), Atherosclerotic Cardiovascular Disease (ASCVD) and D:A:D 2010 and 2016 risk prediction models for HIV-infected participants of the Ndlovu Cohort Study, Limpopo, rural South Africa. Participants were classified to be at low ( 10%), moderate (10% – 20%), or high-risk ( 20%) of CVD within 10 years for general CVD and five years for D:A:D models. Kappa statistics were used to determine agreement between CVD risk prediction models. Subgroup analysis was performed according to age. Results: The analysis comprised 735 HIV-infected individuals, predominantly women (56.7%), average age 43.9 (8.8) years. The median predicted CVD risk for D:A:D 2010 and FHS-CVD was 4% and for ASCVD and FHS-CHD models, 3%. For the D:A:D 2016 risk prediction model, the figure was 5%. High 10-year CVD risk was predicted for 2.9%, 0.5%, 0.7%, 3.1% and 6.6% of the study participants by FHS-CVD, FHS-CHD, ASCVD, and D:A:D 2010 and 2016. Kappa statistics ranged from 0.34 for ASCVD to 0.60 for FHS-CVD as compared to the D:A:D 2010 risk prediction model. Conclusion: Overall, predicted CVD risk is low in this population. Compared to D:A:D 2010, CVD risk estimated by the FHS-CVD model showed similar overall results for risk classification. With the exception of the D:A:D model, all other risk prediction models classified fewer people to be at high estimated CVD risk. Prospective studies are needed to develop and validate CVD risk algorithms in people living with HIV in sub-Saharan Africa. cardiovascular disease risk framingham risk score d:a:d risk score atherosclerotic cardiovascular disease risk score people living with hiv sub-saharan africa Public aspects of medicine Infectious and parasitic diseases Alinda G. Vos verfasserin aut Johanna A.A. Damen verfasserin aut Roos E. Barth verfasserin aut Hugo A. Tempelman verfasserin aut Diederick E. Grobbee verfasserin aut Karine Scheuermaier verfasserin aut Willem D.F. Venter verfasserin aut Kerstin Klipstein-Grobusch verfasserin aut In Southern African Journal of HIV Medicine AOSIS, 2016 23(2022), 1, Seite e1-e10 (DE-627)521453623 (DE-600)2259791-8 20786751 nnns volume:23 year:2022 number:1 pages:e1-e10 https://doi.org/10.4102/sajhivmed.v23i1.1395 kostenfrei https://doaj.org/article/c5ab32b0ac984f60a48cfafdf8eac941 kostenfrei https://sajhivmed.org.za/index.php/hivmed/article/view/1395 kostenfrei https://doaj.org/toc/1608-9693 Journal toc kostenfrei https://doaj.org/toc/2078-6751 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2022 1 e1-e10
spelling	10.4102/sajhivmed.v23i1.1395 doi (DE-627)DOAJ085943886 (DE-599)DOAJc5ab32b0ac984f60a48cfafdf8eac941 DE-627 ger DE-627 rakwb eng RA1-1270 RC109-216 Irtiza S. Tahir verfasserin aut Comparative performance of cardiovascular risk prediction models in people living with HIV 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Current cardiovascular risk assessment in people living with HIV is based on general risk assessment tools; however, whether these tools can be applied in sub-Saharan African populations has been questioned. Objectives: The study aimed to assess cardiovascular risk classification of common cardiovascular disease (CVD) risk prediction models compared to the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) 2010 and 2016 models in people living with HIV. Method: Cardiovascular disease risk was estimated by Framingham Cardiovascular and Heart Disease (FHS-CVD, FHS-CHD), Atherosclerotic Cardiovascular Disease (ASCVD) and D:A:D 2010 and 2016 risk prediction models for HIV-infected participants of the Ndlovu Cohort Study, Limpopo, rural South Africa. Participants were classified to be at low ( 10%), moderate (10% – 20%), or high-risk ( 20%) of CVD within 10 years for general CVD and five years for D:A:D models. Kappa statistics were used to determine agreement between CVD risk prediction models. Subgroup analysis was performed according to age. Results: The analysis comprised 735 HIV-infected individuals, predominantly women (56.7%), average age 43.9 (8.8) years. The median predicted CVD risk for D:A:D 2010 and FHS-CVD was 4% and for ASCVD and FHS-CHD models, 3%. For the D:A:D 2016 risk prediction model, the figure was 5%. High 10-year CVD risk was predicted for 2.9%, 0.5%, 0.7%, 3.1% and 6.6% of the study participants by FHS-CVD, FHS-CHD, ASCVD, and D:A:D 2010 and 2016. Kappa statistics ranged from 0.34 for ASCVD to 0.60 for FHS-CVD as compared to the D:A:D 2010 risk prediction model. Conclusion: Overall, predicted CVD risk is low in this population. Compared to D:A:D 2010, CVD risk estimated by the FHS-CVD model showed similar overall results for risk classification. With the exception of the D:A:D model, all other risk prediction models classified fewer people to be at high estimated CVD risk. Prospective studies are needed to develop and validate CVD risk algorithms in people living with HIV in sub-Saharan Africa. cardiovascular disease risk framingham risk score d:a:d risk score atherosclerotic cardiovascular disease risk score people living with hiv sub-saharan africa Public aspects of medicine Infectious and parasitic diseases Alinda G. Vos verfasserin aut Johanna A.A. Damen verfasserin aut Roos E. Barth verfasserin aut Hugo A. Tempelman verfasserin aut Diederick E. Grobbee verfasserin aut Karine Scheuermaier verfasserin aut Willem D.F. Venter verfasserin aut Kerstin Klipstein-Grobusch verfasserin aut In Southern African Journal of HIV Medicine AOSIS, 2016 23(2022), 1, Seite e1-e10 (DE-627)521453623 (DE-600)2259791-8 20786751 nnns volume:23 year:2022 number:1 pages:e1-e10 https://doi.org/10.4102/sajhivmed.v23i1.1395 kostenfrei https://doaj.org/article/c5ab32b0ac984f60a48cfafdf8eac941 kostenfrei https://sajhivmed.org.za/index.php/hivmed/article/view/1395 kostenfrei https://doaj.org/toc/1608-9693 Journal toc kostenfrei https://doaj.org/toc/2078-6751 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2022 1 e1-e10
allfields_unstemmed	10.4102/sajhivmed.v23i1.1395 doi (DE-627)DOAJ085943886 (DE-599)DOAJc5ab32b0ac984f60a48cfafdf8eac941 DE-627 ger DE-627 rakwb eng RA1-1270 RC109-216 Irtiza S. Tahir verfasserin aut Comparative performance of cardiovascular risk prediction models in people living with HIV 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Current cardiovascular risk assessment in people living with HIV is based on general risk assessment tools; however, whether these tools can be applied in sub-Saharan African populations has been questioned. Objectives: The study aimed to assess cardiovascular risk classification of common cardiovascular disease (CVD) risk prediction models compared to the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) 2010 and 2016 models in people living with HIV. Method: Cardiovascular disease risk was estimated by Framingham Cardiovascular and Heart Disease (FHS-CVD, FHS-CHD), Atherosclerotic Cardiovascular Disease (ASCVD) and D:A:D 2010 and 2016 risk prediction models for HIV-infected participants of the Ndlovu Cohort Study, Limpopo, rural South Africa. Participants were classified to be at low ( 10%), moderate (10% – 20%), or high-risk ( 20%) of CVD within 10 years for general CVD and five years for D:A:D models. Kappa statistics were used to determine agreement between CVD risk prediction models. Subgroup analysis was performed according to age. Results: The analysis comprised 735 HIV-infected individuals, predominantly women (56.7%), average age 43.9 (8.8) years. The median predicted CVD risk for D:A:D 2010 and FHS-CVD was 4% and for ASCVD and FHS-CHD models, 3%. For the D:A:D 2016 risk prediction model, the figure was 5%. High 10-year CVD risk was predicted for 2.9%, 0.5%, 0.7%, 3.1% and 6.6% of the study participants by FHS-CVD, FHS-CHD, ASCVD, and D:A:D 2010 and 2016. Kappa statistics ranged from 0.34 for ASCVD to 0.60 for FHS-CVD as compared to the D:A:D 2010 risk prediction model. Conclusion: Overall, predicted CVD risk is low in this population. Compared to D:A:D 2010, CVD risk estimated by the FHS-CVD model showed similar overall results for risk classification. With the exception of the D:A:D model, all other risk prediction models classified fewer people to be at high estimated CVD risk. Prospective studies are needed to develop and validate CVD risk algorithms in people living with HIV in sub-Saharan Africa. cardiovascular disease risk framingham risk score d:a:d risk score atherosclerotic cardiovascular disease risk score people living with hiv sub-saharan africa Public aspects of medicine Infectious and parasitic diseases Alinda G. Vos verfasserin aut Johanna A.A. Damen verfasserin aut Roos E. Barth verfasserin aut Hugo A. Tempelman verfasserin aut Diederick E. Grobbee verfasserin aut Karine Scheuermaier verfasserin aut Willem D.F. Venter verfasserin aut Kerstin Klipstein-Grobusch verfasserin aut In Southern African Journal of HIV Medicine AOSIS, 2016 23(2022), 1, Seite e1-e10 (DE-627)521453623 (DE-600)2259791-8 20786751 nnns volume:23 year:2022 number:1 pages:e1-e10 https://doi.org/10.4102/sajhivmed.v23i1.1395 kostenfrei https://doaj.org/article/c5ab32b0ac984f60a48cfafdf8eac941 kostenfrei https://sajhivmed.org.za/index.php/hivmed/article/view/1395 kostenfrei https://doaj.org/toc/1608-9693 Journal toc kostenfrei https://doaj.org/toc/2078-6751 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2022 1 e1-e10
allfieldsGer	10.4102/sajhivmed.v23i1.1395 doi (DE-627)DOAJ085943886 (DE-599)DOAJc5ab32b0ac984f60a48cfafdf8eac941 DE-627 ger DE-627 rakwb eng RA1-1270 RC109-216 Irtiza S. Tahir verfasserin aut Comparative performance of cardiovascular risk prediction models in people living with HIV 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Current cardiovascular risk assessment in people living with HIV is based on general risk assessment tools; however, whether these tools can be applied in sub-Saharan African populations has been questioned. Objectives: The study aimed to assess cardiovascular risk classification of common cardiovascular disease (CVD) risk prediction models compared to the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) 2010 and 2016 models in people living with HIV. Method: Cardiovascular disease risk was estimated by Framingham Cardiovascular and Heart Disease (FHS-CVD, FHS-CHD), Atherosclerotic Cardiovascular Disease (ASCVD) and D:A:D 2010 and 2016 risk prediction models for HIV-infected participants of the Ndlovu Cohort Study, Limpopo, rural South Africa. Participants were classified to be at low ( 10%), moderate (10% – 20%), or high-risk ( 20%) of CVD within 10 years for general CVD and five years for D:A:D models. Kappa statistics were used to determine agreement between CVD risk prediction models. Subgroup analysis was performed according to age. Results: The analysis comprised 735 HIV-infected individuals, predominantly women (56.7%), average age 43.9 (8.8) years. The median predicted CVD risk for D:A:D 2010 and FHS-CVD was 4% and for ASCVD and FHS-CHD models, 3%. For the D:A:D 2016 risk prediction model, the figure was 5%. High 10-year CVD risk was predicted for 2.9%, 0.5%, 0.7%, 3.1% and 6.6% of the study participants by FHS-CVD, FHS-CHD, ASCVD, and D:A:D 2010 and 2016. Kappa statistics ranged from 0.34 for ASCVD to 0.60 for FHS-CVD as compared to the D:A:D 2010 risk prediction model. Conclusion: Overall, predicted CVD risk is low in this population. Compared to D:A:D 2010, CVD risk estimated by the FHS-CVD model showed similar overall results for risk classification. With the exception of the D:A:D model, all other risk prediction models classified fewer people to be at high estimated CVD risk. Prospective studies are needed to develop and validate CVD risk algorithms in people living with HIV in sub-Saharan Africa. cardiovascular disease risk framingham risk score d:a:d risk score atherosclerotic cardiovascular disease risk score people living with hiv sub-saharan africa Public aspects of medicine Infectious and parasitic diseases Alinda G. Vos verfasserin aut Johanna A.A. Damen verfasserin aut Roos E. Barth verfasserin aut Hugo A. Tempelman verfasserin aut Diederick E. Grobbee verfasserin aut Karine Scheuermaier verfasserin aut Willem D.F. Venter verfasserin aut Kerstin Klipstein-Grobusch verfasserin aut In Southern African Journal of HIV Medicine AOSIS, 2016 23(2022), 1, Seite e1-e10 (DE-627)521453623 (DE-600)2259791-8 20786751 nnns volume:23 year:2022 number:1 pages:e1-e10 https://doi.org/10.4102/sajhivmed.v23i1.1395 kostenfrei https://doaj.org/article/c5ab32b0ac984f60a48cfafdf8eac941 kostenfrei https://sajhivmed.org.za/index.php/hivmed/article/view/1395 kostenfrei https://doaj.org/toc/1608-9693 Journal toc kostenfrei https://doaj.org/toc/2078-6751 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2022 1 e1-e10
allfieldsSound	10.4102/sajhivmed.v23i1.1395 doi (DE-627)DOAJ085943886 (DE-599)DOAJc5ab32b0ac984f60a48cfafdf8eac941 DE-627 ger DE-627 rakwb eng RA1-1270 RC109-216 Irtiza S. Tahir verfasserin aut Comparative performance of cardiovascular risk prediction models in people living with HIV 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Current cardiovascular risk assessment in people living with HIV is based on general risk assessment tools; however, whether these tools can be applied in sub-Saharan African populations has been questioned. Objectives: The study aimed to assess cardiovascular risk classification of common cardiovascular disease (CVD) risk prediction models compared to the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) 2010 and 2016 models in people living with HIV. Method: Cardiovascular disease risk was estimated by Framingham Cardiovascular and Heart Disease (FHS-CVD, FHS-CHD), Atherosclerotic Cardiovascular Disease (ASCVD) and D:A:D 2010 and 2016 risk prediction models for HIV-infected participants of the Ndlovu Cohort Study, Limpopo, rural South Africa. Participants were classified to be at low ( 10%), moderate (10% – 20%), or high-risk ( 20%) of CVD within 10 years for general CVD and five years for D:A:D models. Kappa statistics were used to determine agreement between CVD risk prediction models. Subgroup analysis was performed according to age. Results: The analysis comprised 735 HIV-infected individuals, predominantly women (56.7%), average age 43.9 (8.8) years. The median predicted CVD risk for D:A:D 2010 and FHS-CVD was 4% and for ASCVD and FHS-CHD models, 3%. For the D:A:D 2016 risk prediction model, the figure was 5%. High 10-year CVD risk was predicted for 2.9%, 0.5%, 0.7%, 3.1% and 6.6% of the study participants by FHS-CVD, FHS-CHD, ASCVD, and D:A:D 2010 and 2016. Kappa statistics ranged from 0.34 for ASCVD to 0.60 for FHS-CVD as compared to the D:A:D 2010 risk prediction model. Conclusion: Overall, predicted CVD risk is low in this population. Compared to D:A:D 2010, CVD risk estimated by the FHS-CVD model showed similar overall results for risk classification. With the exception of the D:A:D model, all other risk prediction models classified fewer people to be at high estimated CVD risk. Prospective studies are needed to develop and validate CVD risk algorithms in people living with HIV in sub-Saharan Africa. cardiovascular disease risk framingham risk score d:a:d risk score atherosclerotic cardiovascular disease risk score people living with hiv sub-saharan africa Public aspects of medicine Infectious and parasitic diseases Alinda G. Vos verfasserin aut Johanna A.A. Damen verfasserin aut Roos E. Barth verfasserin aut Hugo A. Tempelman verfasserin aut Diederick E. Grobbee verfasserin aut Karine Scheuermaier verfasserin aut Willem D.F. Venter verfasserin aut Kerstin Klipstein-Grobusch verfasserin aut In Southern African Journal of HIV Medicine AOSIS, 2016 23(2022), 1, Seite e1-e10 (DE-627)521453623 (DE-600)2259791-8 20786751 nnns volume:23 year:2022 number:1 pages:e1-e10 https://doi.org/10.4102/sajhivmed.v23i1.1395 kostenfrei https://doaj.org/article/c5ab32b0ac984f60a48cfafdf8eac941 kostenfrei https://sajhivmed.org.za/index.php/hivmed/article/view/1395 kostenfrei https://doaj.org/toc/1608-9693 Journal toc kostenfrei https://doaj.org/toc/2078-6751 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2022 1 e1-e10
language	English
source	In Southern African Journal of HIV Medicine 23(2022), 1, Seite e1-e10 volume:23 year:2022 number:1 pages:e1-e10
sourceStr	In Southern African Journal of HIV Medicine 23(2022), 1, Seite e1-e10 volume:23 year:2022 number:1 pages:e1-e10
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	cardiovascular disease risk framingham risk score d:a:d risk score atherosclerotic cardiovascular disease risk score people living with hiv sub-saharan africa Public aspects of medicine Infectious and parasitic diseases
isfreeaccess_bool	true
container_title	Southern African Journal of HIV Medicine
authorswithroles_txt_mv	Irtiza S. Tahir @@aut@@ Alinda G. Vos @@aut@@ Johanna A.A. Damen @@aut@@ Roos E. Barth @@aut@@ Hugo A. Tempelman @@aut@@ Diederick E. Grobbee @@aut@@ Karine Scheuermaier @@aut@@ Willem D.F. Venter @@aut@@ Kerstin Klipstein-Grobusch @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	521453623
id	DOAJ085943886
language_de	englisch
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Tahir</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Comparative performance of cardiovascular risk prediction models in people living with HIV</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background: Current cardiovascular risk assessment in people living with HIV is based on general risk assessment tools; however, whether these tools can be applied in sub-Saharan African populations has been questioned. Objectives: The study aimed to assess cardiovascular risk classification of common cardiovascular disease (CVD) risk prediction models compared to the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) 2010 and 2016 models in people living with HIV. Method: Cardiovascular disease risk was estimated by Framingham Cardiovascular and Heart Disease (FHS-CVD, FHS-CHD), Atherosclerotic Cardiovascular Disease (ASCVD) and D:A:D 2010 and 2016 risk prediction models for HIV-infected participants of the Ndlovu Cohort Study, Limpopo, rural South Africa. Participants were classified to be at low ( 10%), moderate (10% – 20%), or high-risk ( 20%) of CVD within 10 years for general CVD and five years for D:A:D models. Kappa statistics were used to determine agreement between CVD risk prediction models. Subgroup analysis was performed according to age. Results: The analysis comprised 735 HIV-infected individuals, predominantly women (56.7%), average age 43.9 (8.8) years. The median predicted CVD risk for D:A:D 2010 and FHS-CVD was 4% and for ASCVD and FHS-CHD models, 3%. For the D:A:D 2016 risk prediction model, the figure was 5%. High 10-year CVD risk was predicted for 2.9%, 0.5%, 0.7%, 3.1% and 6.6% of the study participants by FHS-CVD, FHS-CHD, ASCVD, and D:A:D 2010 and 2016. Kappa statistics ranged from 0.34 for ASCVD to 0.60 for FHS-CVD as compared to the D:A:D 2010 risk prediction model. Conclusion: Overall, predicted CVD risk is low in this population. Compared to D:A:D 2010, CVD risk estimated by the FHS-CVD model showed similar overall results for risk classification. With the exception of the D:A:D model, all other risk prediction models classified fewer people to be at high estimated CVD risk. Prospective studies are needed to develop and validate CVD risk algorithms in people living with HIV in sub-Saharan Africa.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">cardiovascular disease risk</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">framingham risk score</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">d:a:d risk score</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">atherosclerotic cardiovascular disease risk score</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">people living with hiv</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">sub-saharan africa</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Public aspects of medicine</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Infectious and parasitic diseases</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Alinda G. 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callnumber-first	R - Medicine
author	Irtiza S. Tahir
spellingShingle	Irtiza S. Tahir misc RA1-1270 misc RC109-216 misc cardiovascular disease risk misc framingham risk score misc d:a:d risk score misc atherosclerotic cardiovascular disease risk score misc people living with hiv misc sub-saharan africa misc Public aspects of medicine misc Infectious and parasitic diseases Comparative performance of cardiovascular risk prediction models in people living with HIV
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topic_title	RA1-1270 RC109-216 Comparative performance of cardiovascular risk prediction models in people living with HIV cardiovascular disease risk framingham risk score d:a:d risk score atherosclerotic cardiovascular disease risk score people living with hiv sub-saharan africa
topic	misc RA1-1270 misc RC109-216 misc cardiovascular disease risk misc framingham risk score misc d:a:d risk score misc atherosclerotic cardiovascular disease risk score misc people living with hiv misc sub-saharan africa misc Public aspects of medicine misc Infectious and parasitic diseases
topic_unstemmed	misc RA1-1270 misc RC109-216 misc cardiovascular disease risk misc framingham risk score misc d:a:d risk score misc atherosclerotic cardiovascular disease risk score misc people living with hiv misc sub-saharan africa misc Public aspects of medicine misc Infectious and parasitic diseases
topic_browse	misc RA1-1270 misc RC109-216 misc cardiovascular disease risk misc framingham risk score misc d:a:d risk score misc atherosclerotic cardiovascular disease risk score misc people living with hiv misc sub-saharan africa misc Public aspects of medicine misc Infectious and parasitic diseases
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title	Comparative performance of cardiovascular risk prediction models in people living with HIV
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title_full	Comparative performance of cardiovascular risk prediction models in people living with HIV
author_sort	Irtiza S. Tahir
journal	Southern African Journal of HIV Medicine
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author_browse	Irtiza S. Tahir Alinda G. Vos Johanna A.A. Damen Roos E. Barth Hugo A. Tempelman Diederick E. Grobbee Karine Scheuermaier Willem D.F. Venter Kerstin Klipstein-Grobusch
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author-letter	Irtiza S. Tahir
doi_str_mv	10.4102/sajhivmed.v23i1.1395
author2-role	verfasserin
title_sort	comparative performance of cardiovascular risk prediction models in people living with hiv
callnumber	RA1-1270
title_auth	Comparative performance of cardiovascular risk prediction models in people living with HIV
abstract	Background: Current cardiovascular risk assessment in people living with HIV is based on general risk assessment tools; however, whether these tools can be applied in sub-Saharan African populations has been questioned. Objectives: The study aimed to assess cardiovascular risk classification of common cardiovascular disease (CVD) risk prediction models compared to the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) 2010 and 2016 models in people living with HIV. Method: Cardiovascular disease risk was estimated by Framingham Cardiovascular and Heart Disease (FHS-CVD, FHS-CHD), Atherosclerotic Cardiovascular Disease (ASCVD) and D:A:D 2010 and 2016 risk prediction models for HIV-infected participants of the Ndlovu Cohort Study, Limpopo, rural South Africa. Participants were classified to be at low ( 10%), moderate (10% – 20%), or high-risk ( 20%) of CVD within 10 years for general CVD and five years for D:A:D models. Kappa statistics were used to determine agreement between CVD risk prediction models. Subgroup analysis was performed according to age. Results: The analysis comprised 735 HIV-infected individuals, predominantly women (56.7%), average age 43.9 (8.8) years. The median predicted CVD risk for D:A:D 2010 and FHS-CVD was 4% and for ASCVD and FHS-CHD models, 3%. For the D:A:D 2016 risk prediction model, the figure was 5%. High 10-year CVD risk was predicted for 2.9%, 0.5%, 0.7%, 3.1% and 6.6% of the study participants by FHS-CVD, FHS-CHD, ASCVD, and D:A:D 2010 and 2016. Kappa statistics ranged from 0.34 for ASCVD to 0.60 for FHS-CVD as compared to the D:A:D 2010 risk prediction model. Conclusion: Overall, predicted CVD risk is low in this population. Compared to D:A:D 2010, CVD risk estimated by the FHS-CVD model showed similar overall results for risk classification. With the exception of the D:A:D model, all other risk prediction models classified fewer people to be at high estimated CVD risk. Prospective studies are needed to develop and validate CVD risk algorithms in people living with HIV in sub-Saharan Africa.
abstractGer	Background: Current cardiovascular risk assessment in people living with HIV is based on general risk assessment tools; however, whether these tools can be applied in sub-Saharan African populations has been questioned. Objectives: The study aimed to assess cardiovascular risk classification of common cardiovascular disease (CVD) risk prediction models compared to the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) 2010 and 2016 models in people living with HIV. Method: Cardiovascular disease risk was estimated by Framingham Cardiovascular and Heart Disease (FHS-CVD, FHS-CHD), Atherosclerotic Cardiovascular Disease (ASCVD) and D:A:D 2010 and 2016 risk prediction models for HIV-infected participants of the Ndlovu Cohort Study, Limpopo, rural South Africa. Participants were classified to be at low ( 10%), moderate (10% – 20%), or high-risk ( 20%) of CVD within 10 years for general CVD and five years for D:A:D models. Kappa statistics were used to determine agreement between CVD risk prediction models. Subgroup analysis was performed according to age. Results: The analysis comprised 735 HIV-infected individuals, predominantly women (56.7%), average age 43.9 (8.8) years. The median predicted CVD risk for D:A:D 2010 and FHS-CVD was 4% and for ASCVD and FHS-CHD models, 3%. For the D:A:D 2016 risk prediction model, the figure was 5%. High 10-year CVD risk was predicted for 2.9%, 0.5%, 0.7%, 3.1% and 6.6% of the study participants by FHS-CVD, FHS-CHD, ASCVD, and D:A:D 2010 and 2016. Kappa statistics ranged from 0.34 for ASCVD to 0.60 for FHS-CVD as compared to the D:A:D 2010 risk prediction model. Conclusion: Overall, predicted CVD risk is low in this population. Compared to D:A:D 2010, CVD risk estimated by the FHS-CVD model showed similar overall results for risk classification. With the exception of the D:A:D model, all other risk prediction models classified fewer people to be at high estimated CVD risk. Prospective studies are needed to develop and validate CVD risk algorithms in people living with HIV in sub-Saharan Africa.
abstract_unstemmed	Background: Current cardiovascular risk assessment in people living with HIV is based on general risk assessment tools; however, whether these tools can be applied in sub-Saharan African populations has been questioned. Objectives: The study aimed to assess cardiovascular risk classification of common cardiovascular disease (CVD) risk prediction models compared to the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) 2010 and 2016 models in people living with HIV. Method: Cardiovascular disease risk was estimated by Framingham Cardiovascular and Heart Disease (FHS-CVD, FHS-CHD), Atherosclerotic Cardiovascular Disease (ASCVD) and D:A:D 2010 and 2016 risk prediction models for HIV-infected participants of the Ndlovu Cohort Study, Limpopo, rural South Africa. Participants were classified to be at low ( 10%), moderate (10% – 20%), or high-risk ( 20%) of CVD within 10 years for general CVD and five years for D:A:D models. Kappa statistics were used to determine agreement between CVD risk prediction models. Subgroup analysis was performed according to age. Results: The analysis comprised 735 HIV-infected individuals, predominantly women (56.7%), average age 43.9 (8.8) years. The median predicted CVD risk for D:A:D 2010 and FHS-CVD was 4% and for ASCVD and FHS-CHD models, 3%. For the D:A:D 2016 risk prediction model, the figure was 5%. High 10-year CVD risk was predicted for 2.9%, 0.5%, 0.7%, 3.1% and 6.6% of the study participants by FHS-CVD, FHS-CHD, ASCVD, and D:A:D 2010 and 2016. Kappa statistics ranged from 0.34 for ASCVD to 0.60 for FHS-CVD as compared to the D:A:D 2010 risk prediction model. Conclusion: Overall, predicted CVD risk is low in this population. Compared to D:A:D 2010, CVD risk estimated by the FHS-CVD model showed similar overall results for risk classification. With the exception of the D:A:D model, all other risk prediction models classified fewer people to be at high estimated CVD risk. Prospective studies are needed to develop and validate CVD risk algorithms in people living with HIV in sub-Saharan Africa.
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title_short	Comparative performance of cardiovascular risk prediction models in people living with HIV
url	https://doi.org/10.4102/sajhivmed.v23i1.1395 https://doaj.org/article/c5ab32b0ac984f60a48cfafdf8eac941 https://sajhivmed.org.za/index.php/hivmed/article/view/1395 https://doaj.org/toc/1608-9693 https://doaj.org/toc/2078-6751
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author2Str	Alinda G. Vos Johanna A.A. Damen Roos E. Barth Hugo A. Tempelman Diederick E. Grobbee Karine Scheuermaier Willem D.F. Venter Kerstin Klipstein-Grobusch
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