Lipid Association of India 2023 update on cardiovascular risk assessment and lipid management in Indian patients: Consensus statement IV
•Indians develop ASCVD about a decade earlier than Western populations.•Subclinical ASCVD reflects the susceptibility to develop adverse CV events.•LAI recommends coronary artery calcium scoring to stratify ASCVD risk in selected patients.•LDL-C goals recommended by the LAI are more aggressive than...
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creator | Puri, Raman Bansal, Manish Mehta, Vimal Duell, P. Barton Wong, Nathan D. Iyengar, S.S. Kalra, Dinesh Nair, Devaki R. Nanda, Navin C. Narula, Jagat Deedwania, P. Yusuf, Jamal Dalal, Jamshed J. Shetty, Sadanand Vijan, Vinod M. Agarwala, Rajeev Kumar, Soumitra Vijay, Kris Khan, Aziz Wander, Gurpreet Singh Manoria, P.C. Wangnoo, S.K. Mohan, Viswanathan Joshi, Shashank R. Singh, Balbir Kerkar, Prafulla Rajput, Rajesh Prabhakar, D. Zargar, Abdul Hamid Saboo, Banshi Kasliwal, Ravi R. Ray, Saumitra Bansal, Sandeep Rabbani, M.U. Chhabra, Shibba Takkar Chandra, Sarat Bardoloi, Neil Kavalipati, Narasaraju Sathyamurthy, Immaneni Mahajan, Kunal Pradhan, Akshya Khanna, N.N. Khadgawat, Rajesh Gupta, Preeti Chag, Milan C. Gupta, Ashu Murugnathan, A. Narasingan, S.N. Upadhyaya, Sundeep Mittal, Vinod Melinkeri, Rashida Patanwala Yadav, Madhur Mubarak, M. Raseed Pareek, K.K. Dabla, Pradeep Kumar Nanda, Rashmi Mohan, J.C. |
description | •Indians develop ASCVD about a decade earlier than Western populations.•Subclinical ASCVD reflects the susceptibility to develop adverse CV events.•LAI recommends coronary artery calcium scoring to stratify ASCVD risk in selected patients.•LDL-C goals recommended by the LAI are more aggressive than other guidelines.•Extreme risk category C patients require the most intensive LDL-C lowering.
In 2016, the Lipid Association of India (LAI) developed a cardiovascular risk assessment algorithm and defined low-density lipoprotein cholesterol (LDL-C) goals for prevention of atherosclerotic cardiovascular disease (ASCVD) in Indians. The recent refinements in the role of various risk factors and subclinical atherosclerosis in prediction of ASCVD risk necessitated updating the risk algorithm and treatment goals.
The LAI core committee held twenty-one meetings and webinars from June 2022 to July 2023 with experts across India and critically reviewed the latest evidence regarding the strategies for ASCVD risk prediction and the benefits and modalities for intensive lipid lowering. Based on the expert consensus and extensive review of published data, consensus statement IV was commissioned.
The young age of onset and a more aggressive nature of ASCVD in Indians necessitates emphasis on lifetime ASCVD risk instead of the conventional 10-year risk. It also demands early institution of aggressive preventive measures to protect the young population prior to development of ASCVD events. Wide availability and low cost of statins in India enable implementation of effective LDL-C-lowering therapy in individuals at high risk of ASCVD. Subjects with any evidence of subclinical atherosclerosis are likely to benefit the most from early aggressive interventions.
This document presents the updated risk stratification and treatment algorithm and describes the rationale for each modification. The intent of these updated recommendations is to modernize management of dyslipidemia in Indian patients with the goal of reducing the epidemic of ASCVD among Indians in Asia and worldwide. |
doi_str_mv | 10.1016/j.jacl.2024.01.006 |
format | Article |
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In 2016, the Lipid Association of India (LAI) developed a cardiovascular risk assessment algorithm and defined low-density lipoprotein cholesterol (LDL-C) goals for prevention of atherosclerotic cardiovascular disease (ASCVD) in Indians. The recent refinements in the role of various risk factors and subclinical atherosclerosis in prediction of ASCVD risk necessitated updating the risk algorithm and treatment goals.
The LAI core committee held twenty-one meetings and webinars from June 2022 to July 2023 with experts across India and critically reviewed the latest evidence regarding the strategies for ASCVD risk prediction and the benefits and modalities for intensive lipid lowering. Based on the expert consensus and extensive review of published data, consensus statement IV was commissioned.
The young age of onset and a more aggressive nature of ASCVD in Indians necessitates emphasis on lifetime ASCVD risk instead of the conventional 10-year risk. It also demands early institution of aggressive preventive measures to protect the young population prior to development of ASCVD events. Wide availability and low cost of statins in India enable implementation of effective LDL-C-lowering therapy in individuals at high risk of ASCVD. Subjects with any evidence of subclinical atherosclerosis are likely to benefit the most from early aggressive interventions.
This document presents the updated risk stratification and treatment algorithm and describes the rationale for each modification. The intent of these updated recommendations is to modernize management of dyslipidemia in Indian patients with the goal of reducing the epidemic of ASCVD among Indians in Asia and worldwide.</description><identifier>ISSN: 1933-2874</identifier><identifier>EISSN: 1876-4789</identifier><identifier>DOI: 10.1016/j.jacl.2024.01.006</identifier><identifier>PMID: 38485619</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Atherosclerotic cardiovascular disease ; Carotid plaque ; Coronary calcium score ; Expert consensus ; Femoral plaque ; Guidelines ; High-intensity statin therapy ; Metabolic syndrome ; Non-conventional risk factors</subject><ispartof>Journal of clinical lipidology, 2024-05, Vol.18 (3), p.e351-e373</ispartof><rights>2024</rights><rights>Copyright © 2024. 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In 2016, the Lipid Association of India (LAI) developed a cardiovascular risk assessment algorithm and defined low-density lipoprotein cholesterol (LDL-C) goals for prevention of atherosclerotic cardiovascular disease (ASCVD) in Indians. The recent refinements in the role of various risk factors and subclinical atherosclerosis in prediction of ASCVD risk necessitated updating the risk algorithm and treatment goals.
The LAI core committee held twenty-one meetings and webinars from June 2022 to July 2023 with experts across India and critically reviewed the latest evidence regarding the strategies for ASCVD risk prediction and the benefits and modalities for intensive lipid lowering. Based on the expert consensus and extensive review of published data, consensus statement IV was commissioned.
The young age of onset and a more aggressive nature of ASCVD in Indians necessitates emphasis on lifetime ASCVD risk instead of the conventional 10-year risk. It also demands early institution of aggressive preventive measures to protect the young population prior to development of ASCVD events. Wide availability and low cost of statins in India enable implementation of effective LDL-C-lowering therapy in individuals at high risk of ASCVD. Subjects with any evidence of subclinical atherosclerosis are likely to benefit the most from early aggressive interventions.
This document presents the updated risk stratification and treatment algorithm and describes the rationale for each modification. The intent of these updated recommendations is to modernize management of dyslipidemia in Indian patients with the goal of reducing the epidemic of ASCVD among Indians in Asia and worldwide.</description><subject>Atherosclerotic cardiovascular disease</subject><subject>Carotid plaque</subject><subject>Coronary calcium score</subject><subject>Expert consensus</subject><subject>Femoral plaque</subject><subject>Guidelines</subject><subject>High-intensity statin therapy</subject><subject>Metabolic syndrome</subject><subject>Non-conventional risk factors</subject><issn>1933-2874</issn><issn>1876-4789</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kcFu1DAQhi0EoqXwAhyQj1wSbCdObMSlWgFdaSUuwNVy7AnyktjBk1TiDXhsvLuFY0-2fn3zSTM_Ia85qznj3btjfbRuqgUTbc14zVj3hFxz1XdV2yv9tPx101RC9e0VeYF4ZEzKnsnn5KpRrZId19fkzyEswdNbxOSCXUOKNI10H32wtIgbui3erkBL7mz2Id1bdNtkM80Bf1KLCIgzxJXa6Ol0ls022h9wDkO8uCJdirwk-J7uUkSIuCHFtajP3P77S_JstBPCq4f3hnz79PHr7q46fPm8390eKtdIvlaqFXYUmvnO-7EDzx1XzHndMGlFPyo1sFa10DPRSc2B22EcWvBOl-W1HLrmhry9eJecfm2Aq5kDOpgmGyFtaISWSuhesr6g4oK6nBAzjGbJYbb5t-HMnBowR3NqwJwaMIyb0kAZevPg34YZ_P-RfycvwIcLAGXL-wDZoCuXceBDBrcan8Jj_r-FN5is</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Puri, Raman</creator><creator>Bansal, Manish</creator><creator>Mehta, Vimal</creator><creator>Duell, P. 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Barton ; Wong, Nathan D. ; Iyengar, S.S. ; Kalra, Dinesh ; Nair, Devaki R. ; Nanda, Navin C. ; Narula, Jagat ; Deedwania, P. ; Yusuf, Jamal ; Dalal, Jamshed J. ; Shetty, Sadanand ; Vijan, Vinod M. ; Agarwala, Rajeev ; Kumar, Soumitra ; Vijay, Kris ; Khan, Aziz ; Wander, Gurpreet Singh ; Manoria, P.C. ; Wangnoo, S.K. ; Mohan, Viswanathan ; Joshi, Shashank R. ; Singh, Balbir ; Kerkar, Prafulla ; Rajput, Rajesh ; Prabhakar, D. ; Zargar, Abdul Hamid ; Saboo, Banshi ; Kasliwal, Ravi R. ; Ray, Saumitra ; Bansal, Sandeep ; Rabbani, M.U. ; Chhabra, Shibba Takkar ; Chandra, Sarat ; Bardoloi, Neil ; Kavalipati, Narasaraju ; Sathyamurthy, Immaneni ; Mahajan, Kunal ; Pradhan, Akshya ; Khanna, N.N. ; Khadgawat, Rajesh ; Gupta, Preeti ; Chag, Milan C. ; Gupta, Ashu ; Murugnathan, A. ; Narasingan, S.N. ; Upadhyaya, Sundeep ; Mittal, Vinod ; Melinkeri, Rashida Patanwala ; Yadav, Madhur ; Mubarak, M. Raseed ; Pareek, K.K. ; Dabla, Pradeep Kumar ; Nanda, Rashmi ; Mohan, J.C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c351t-842af290d6ddf6ed1c180cd9305a27f88b0484e7026591e1abfb4edc900595b63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Atherosclerotic cardiovascular disease</topic><topic>Carotid plaque</topic><topic>Coronary calcium score</topic><topic>Expert consensus</topic><topic>Femoral plaque</topic><topic>Guidelines</topic><topic>High-intensity statin therapy</topic><topic>Metabolic syndrome</topic><topic>Non-conventional risk factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Puri, Raman</creatorcontrib><creatorcontrib>Bansal, Manish</creatorcontrib><creatorcontrib>Mehta, Vimal</creatorcontrib><creatorcontrib>Duell, P. Barton</creatorcontrib><creatorcontrib>Wong, Nathan D.</creatorcontrib><creatorcontrib>Iyengar, S.S.</creatorcontrib><creatorcontrib>Kalra, Dinesh</creatorcontrib><creatorcontrib>Nair, Devaki R.</creatorcontrib><creatorcontrib>Nanda, Navin C.</creatorcontrib><creatorcontrib>Narula, Jagat</creatorcontrib><creatorcontrib>Deedwania, P.</creatorcontrib><creatorcontrib>Yusuf, Jamal</creatorcontrib><creatorcontrib>Dalal, Jamshed J.</creatorcontrib><creatorcontrib>Shetty, Sadanand</creatorcontrib><creatorcontrib>Vijan, Vinod M.</creatorcontrib><creatorcontrib>Agarwala, Rajeev</creatorcontrib><creatorcontrib>Kumar, Soumitra</creatorcontrib><creatorcontrib>Vijay, Kris</creatorcontrib><creatorcontrib>Khan, Aziz</creatorcontrib><creatorcontrib>Wander, Gurpreet Singh</creatorcontrib><creatorcontrib>Manoria, P.C.</creatorcontrib><creatorcontrib>Wangnoo, S.K.</creatorcontrib><creatorcontrib>Mohan, Viswanathan</creatorcontrib><creatorcontrib>Joshi, Shashank R.</creatorcontrib><creatorcontrib>Singh, Balbir</creatorcontrib><creatorcontrib>Kerkar, Prafulla</creatorcontrib><creatorcontrib>Rajput, Rajesh</creatorcontrib><creatorcontrib>Prabhakar, D.</creatorcontrib><creatorcontrib>Zargar, Abdul Hamid</creatorcontrib><creatorcontrib>Saboo, Banshi</creatorcontrib><creatorcontrib>Kasliwal, Ravi R.</creatorcontrib><creatorcontrib>Ray, Saumitra</creatorcontrib><creatorcontrib>Bansal, Sandeep</creatorcontrib><creatorcontrib>Rabbani, M.U.</creatorcontrib><creatorcontrib>Chhabra, Shibba Takkar</creatorcontrib><creatorcontrib>Chandra, Sarat</creatorcontrib><creatorcontrib>Bardoloi, Neil</creatorcontrib><creatorcontrib>Kavalipati, Narasaraju</creatorcontrib><creatorcontrib>Sathyamurthy, Immaneni</creatorcontrib><creatorcontrib>Mahajan, Kunal</creatorcontrib><creatorcontrib>Pradhan, Akshya</creatorcontrib><creatorcontrib>Khanna, N.N.</creatorcontrib><creatorcontrib>Khadgawat, Rajesh</creatorcontrib><creatorcontrib>Gupta, Preeti</creatorcontrib><creatorcontrib>Chag, Milan C.</creatorcontrib><creatorcontrib>Gupta, Ashu</creatorcontrib><creatorcontrib>Murugnathan, A.</creatorcontrib><creatorcontrib>Narasingan, S.N.</creatorcontrib><creatorcontrib>Upadhyaya, Sundeep</creatorcontrib><creatorcontrib>Mittal, Vinod</creatorcontrib><creatorcontrib>Melinkeri, Rashida Patanwala</creatorcontrib><creatorcontrib>Yadav, Madhur</creatorcontrib><creatorcontrib>Mubarak, M. Raseed</creatorcontrib><creatorcontrib>Pareek, K.K.</creatorcontrib><creatorcontrib>Dabla, Pradeep Kumar</creatorcontrib><creatorcontrib>Nanda, Rashmi</creatorcontrib><creatorcontrib>Mohan, J.C.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical lipidology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Puri, Raman</au><au>Bansal, Manish</au><au>Mehta, Vimal</au><au>Duell, P. Barton</au><au>Wong, Nathan D.</au><au>Iyengar, S.S.</au><au>Kalra, Dinesh</au><au>Nair, Devaki R.</au><au>Nanda, Navin C.</au><au>Narula, Jagat</au><au>Deedwania, P.</au><au>Yusuf, Jamal</au><au>Dalal, Jamshed J.</au><au>Shetty, Sadanand</au><au>Vijan, Vinod M.</au><au>Agarwala, Rajeev</au><au>Kumar, Soumitra</au><au>Vijay, Kris</au><au>Khan, Aziz</au><au>Wander, Gurpreet Singh</au><au>Manoria, P.C.</au><au>Wangnoo, S.K.</au><au>Mohan, Viswanathan</au><au>Joshi, Shashank R.</au><au>Singh, Balbir</au><au>Kerkar, Prafulla</au><au>Rajput, Rajesh</au><au>Prabhakar, D.</au><au>Zargar, Abdul Hamid</au><au>Saboo, Banshi</au><au>Kasliwal, Ravi R.</au><au>Ray, Saumitra</au><au>Bansal, Sandeep</au><au>Rabbani, M.U.</au><au>Chhabra, Shibba Takkar</au><au>Chandra, Sarat</au><au>Bardoloi, Neil</au><au>Kavalipati, Narasaraju</au><au>Sathyamurthy, Immaneni</au><au>Mahajan, Kunal</au><au>Pradhan, Akshya</au><au>Khanna, N.N.</au><au>Khadgawat, Rajesh</au><au>Gupta, Preeti</au><au>Chag, Milan C.</au><au>Gupta, Ashu</au><au>Murugnathan, A.</au><au>Narasingan, S.N.</au><au>Upadhyaya, Sundeep</au><au>Mittal, Vinod</au><au>Melinkeri, Rashida Patanwala</au><au>Yadav, Madhur</au><au>Mubarak, M. Raseed</au><au>Pareek, K.K.</au><au>Dabla, Pradeep Kumar</au><au>Nanda, Rashmi</au><au>Mohan, J.C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lipid Association of India 2023 update on cardiovascular risk assessment and lipid management in Indian patients: Consensus statement IV</atitle><jtitle>Journal of clinical lipidology</jtitle><addtitle>J Clin Lipidol</addtitle><date>2024-05-01</date><risdate>2024</risdate><volume>18</volume><issue>3</issue><spage>e351</spage><epage>e373</epage><pages>e351-e373</pages><issn>1933-2874</issn><eissn>1876-4789</eissn><abstract>•Indians develop ASCVD about a decade earlier than Western populations.•Subclinical ASCVD reflects the susceptibility to develop adverse CV events.•LAI recommends coronary artery calcium scoring to stratify ASCVD risk in selected patients.•LDL-C goals recommended by the LAI are more aggressive than other guidelines.•Extreme risk category C patients require the most intensive LDL-C lowering.
In 2016, the Lipid Association of India (LAI) developed a cardiovascular risk assessment algorithm and defined low-density lipoprotein cholesterol (LDL-C) goals for prevention of atherosclerotic cardiovascular disease (ASCVD) in Indians. The recent refinements in the role of various risk factors and subclinical atherosclerosis in prediction of ASCVD risk necessitated updating the risk algorithm and treatment goals.
The LAI core committee held twenty-one meetings and webinars from June 2022 to July 2023 with experts across India and critically reviewed the latest evidence regarding the strategies for ASCVD risk prediction and the benefits and modalities for intensive lipid lowering. Based on the expert consensus and extensive review of published data, consensus statement IV was commissioned.
The young age of onset and a more aggressive nature of ASCVD in Indians necessitates emphasis on lifetime ASCVD risk instead of the conventional 10-year risk. It also demands early institution of aggressive preventive measures to protect the young population prior to development of ASCVD events. Wide availability and low cost of statins in India enable implementation of effective LDL-C-lowering therapy in individuals at high risk of ASCVD. Subjects with any evidence of subclinical atherosclerosis are likely to benefit the most from early aggressive interventions.
This document presents the updated risk stratification and treatment algorithm and describes the rationale for each modification. The intent of these updated recommendations is to modernize management of dyslipidemia in Indian patients with the goal of reducing the epidemic of ASCVD among Indians in Asia and worldwide.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>38485619</pmid><doi>10.1016/j.jacl.2024.01.006</doi><orcidid>https://orcid.org/0000-0002-3762-2618</orcidid><orcidid>https://orcid.org/0000-0001-7571-5674</orcidid><orcidid>https://orcid.org/0000-0002-2125-8073</orcidid><orcidid>https://orcid.org/0000-0001-5254-4067</orcidid><orcidid>https://orcid.org/0000-0002-0621-1509</orcidid><orcidid>https://orcid.org/0000-0002-0208-5154</orcidid><orcidid>https://orcid.org/0000-0002-0919-9736</orcidid><orcidid>https://orcid.org/0000-0003-0538-5176</orcidid><orcidid>https://orcid.org/0000-0003-2218-5862</orcidid><orcidid>https://orcid.org/0000-0003-0234-6366</orcidid><orcidid>https://orcid.org/0000-0001-5038-6210</orcidid><orcidid>https://orcid.org/0000-0002-0406-8323</orcidid><orcidid>https://orcid.org/0000-0003-0505-0712</orcidid><orcidid>https://orcid.org/0000-0002-2360-7580</orcidid><orcidid>https://orcid.org/0000-0003-0518-0787</orcidid><orcidid>https://orcid.org/0000-0001-9378-6505</orcidid><orcidid>https://orcid.org/0000-0003-0916-3343</orcidid><orcidid>https://orcid.org/0000-0003-2403-5921</orcidid><orcidid>https://orcid.org/0000-0002-4123-0596</orcidid><orcidid>https://orcid.org/0000-0001-8999-6761</orcidid><orcidid>https://orcid.org/0000-0003-1102-7324</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1933-2874 |
ispartof | Journal of clinical lipidology, 2024-05, Vol.18 (3), p.e351-e373 |
issn | 1933-2874 1876-4789 |
language | eng |
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source | Elsevier ScienceDirect Journals |
subjects | Atherosclerotic cardiovascular disease Carotid plaque Coronary calcium score Expert consensus Femoral plaque Guidelines High-intensity statin therapy Metabolic syndrome Non-conventional risk factors |
title | Lipid Association of India 2023 update on cardiovascular risk assessment and lipid management in Indian patients: Consensus statement IV |
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