Association of lipoprotein (a) with coronary artery disease in a South Asian population: A case-control study
Coronary artery disease (CAD), the leading cause of mortality worldwide, is characterised by an earlier onset and more severe disease in South Asians as compared to Western populations. This is an observational study on 928 individuals who attended three tertiary care centres in Kerala, India from 2...
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description | Coronary artery disease (CAD), the leading cause of mortality worldwide, is characterised by an earlier onset and more severe disease in South Asians as compared to Western populations.
This is an observational study on 928 individuals who attended three tertiary care centres in Kerala, India from 2014-to 2017. The demographic, anthropometric, behavioural factors and the lipoprotein (Lp(a)) and cholesterol values were compared between the two groups and across disease severity. The Chi-square test was used to compare the categorical variables and independent sample t-test for the continuous variables. Multivariable logistic regression was performed to investigate the association of demographic, clinical and behavioural factors with the disease. Odds ratios are presented with a 95% confidence interval. In individuals below 50 years, two logistic regression models were compared to investigate the improvement in modelling the association of the independent factors and Lp(a) with the occurrence of the disease.
We included 682 patients in the diseased group and 246 patients treated for non-coronary conditions in the control group. Those in the control group were significantly younger than in the diseased group(p |
doi_str_mv | 10.1371/journal.pone.0267807 |
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This is an observational study on 928 individuals who attended three tertiary care centres in Kerala, India from 2014-to 2017. The demographic, anthropometric, behavioural factors and the lipoprotein (Lp(a)) and cholesterol values were compared between the two groups and across disease severity. The Chi-square test was used to compare the categorical variables and independent sample t-test for the continuous variables. Multivariable logistic regression was performed to investigate the association of demographic, clinical and behavioural factors with the disease. Odds ratios are presented with a 95% confidence interval. In individuals below 50 years, two logistic regression models were compared to investigate the improvement in modelling the association of the independent factors and Lp(a) with the occurrence of the disease.
We included 682 patients in the diseased group and 246 patients treated for non-coronary conditions in the control group. Those in the control group were significantly younger than in the diseased group(p<0.002). Significantly more patients were diabetic, hypertensive, tobacco users and consumers of alcohol in the diseased group. Multivariable logistic regression on data from all age groups showed that age (OR = 2.55, 95% CI 1.51-4.33, p = 0.01), diabetes (OR = 3.71, 95% CI 2.42-5.70, p = 0.01), hypertension (OR = 3.03, 95% CI 2.12-4.34, p = 0.01) and tobacco use (OR = 5.44, 95% CI 3.39-8.75, p = 0.01) are significantly associated with the disease. Lp(a) (OR = 1.22, 95% CI 0.87-1.72) increased the odds of the disease by 22% but was not statistically significant. In individuals below 50 years, Lp(a) significantly increased the likelihood of CAD (OR = 3.52, 95% CI 1.63-7.57, p = 0.01). Those with diabetes were seven times more likely to be diseased (OR = 7.06, 95% CI 2.59-19.21, p = 0.01) and the tobacco users had six times the likelihood of disease occurrence (OR = 6.38, 95% CI 2.62-15.54, p = 0.01). The median Lp(a) values showed a statistically significant increasing trend with the extent/severity of the disease in those below 50 years.
Age, diabetes, hypertension and tobacco use appear to be associated more with the occurrence of coronary artery disease in adults of all ages. Lipoprotein(a), cholesterol and BMI categories do not seem to be related to disease status in all ages. However, in individuals below 50 years, diabetes, tobacco use and lipoprotein (a) are significantly associated with the occurrence of the disease.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0267807</identifier><identifier>PMID: 35503788</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acute coronary syndromes ; Adult ; Age ; Alcohol ; Alcohol use ; Asian people ; Asians ; Biology and Life Sciences ; Body mass index ; Cardiac stress tests ; Cardiovascular disease ; Case-Control Studies ; Chi-square test ; Cholesterol ; Confidence intervals ; Continuity (mathematics) ; Coronary artery ; Coronary artery disease ; Coronary Artery Disease - epidemiology ; Coronary vessels ; Demographic variables ; Demographics ; Demography ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus - epidemiology ; Family medical history ; Health risk assessment ; Health risks ; Heart attacks ; Heart diseases ; Humans ; Hypertension ; Hypertension - complications ; Hypertension - epidemiology ; Independent variables ; Ischemia ; Lipids ; Lipoprotein(a) ; Lipoproteins ; Medicine and Health Sciences ; Mortality ; Observational studies ; Patients ; Population ; Population studies ; Public health ; Regression analysis ; Regression models ; Risk Factors ; Statistical analysis ; Statistical significance ; Tertiary ; Tobacco ; Vein & artery diseases</subject><ispartof>PloS one, 2022-05, Vol.17 (5), p.e0267807-e0267807</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Joseph et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 Joseph et al 2022 Joseph et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c593t-3d18ba34b8a7da55f67060c143b9e30af9e33f151ebdc4fd5bec653c55d0a3773</citedby><cites>FETCH-LOGICAL-c593t-3d18ba34b8a7da55f67060c143b9e30af9e33f151ebdc4fd5bec653c55d0a3773</cites><orcidid>0000-0003-2491-0650 ; 0000-0002-0786-8123</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9064091/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9064091/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35503788$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Joseph, Jacob</creatorcontrib><creatorcontrib>Menon, Jaideep Chanayil</creatorcontrib><creatorcontrib>Sebastien, Placid K</creatorcontrib><creatorcontrib>Sudhakar, Abish</creatorcontrib><creatorcontrib>John, Denny</creatorcontrib><creatorcontrib>Menon, Geetha R</creatorcontrib><title>Association of lipoprotein (a) with coronary artery disease in a South Asian population: A case-control study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Coronary artery disease (CAD), the leading cause of mortality worldwide, is characterised by an earlier onset and more severe disease in South Asians as compared to Western populations.
This is an observational study on 928 individuals who attended three tertiary care centres in Kerala, India from 2014-to 2017. The demographic, anthropometric, behavioural factors and the lipoprotein (Lp(a)) and cholesterol values were compared between the two groups and across disease severity. The Chi-square test was used to compare the categorical variables and independent sample t-test for the continuous variables. Multivariable logistic regression was performed to investigate the association of demographic, clinical and behavioural factors with the disease. Odds ratios are presented with a 95% confidence interval. In individuals below 50 years, two logistic regression models were compared to investigate the improvement in modelling the association of the independent factors and Lp(a) with the occurrence of the disease.
We included 682 patients in the diseased group and 246 patients treated for non-coronary conditions in the control group. Those in the control group were significantly younger than in the diseased group(p<0.002). Significantly more patients were diabetic, hypertensive, tobacco users and consumers of alcohol in the diseased group. Multivariable logistic regression on data from all age groups showed that age (OR = 2.55, 95% CI 1.51-4.33, p = 0.01), diabetes (OR = 3.71, 95% CI 2.42-5.70, p = 0.01), hypertension (OR = 3.03, 95% CI 2.12-4.34, p = 0.01) and tobacco use (OR = 5.44, 95% CI 3.39-8.75, p = 0.01) are significantly associated with the disease. Lp(a) (OR = 1.22, 95% CI 0.87-1.72) increased the odds of the disease by 22% but was not statistically significant. In individuals below 50 years, Lp(a) significantly increased the likelihood of CAD (OR = 3.52, 95% CI 1.63-7.57, p = 0.01). Those with diabetes were seven times more likely to be diseased (OR = 7.06, 95% CI 2.59-19.21, p = 0.01) and the tobacco users had six times the likelihood of disease occurrence (OR = 6.38, 95% CI 2.62-15.54, p = 0.01). The median Lp(a) values showed a statistically significant increasing trend with the extent/severity of the disease in those below 50 years.
Age, diabetes, hypertension and tobacco use appear to be associated more with the occurrence of coronary artery disease in adults of all ages. Lipoprotein(a), cholesterol and BMI categories do not seem to be related to disease status in all ages. However, in individuals below 50 years, diabetes, tobacco use and lipoprotein (a) are significantly associated with the occurrence of the disease.</description><subject>Acute coronary syndromes</subject><subject>Adult</subject><subject>Age</subject><subject>Alcohol</subject><subject>Alcohol use</subject><subject>Asian people</subject><subject>Asians</subject><subject>Biology and Life Sciences</subject><subject>Body mass index</subject><subject>Cardiac stress tests</subject><subject>Cardiovascular disease</subject><subject>Case-Control Studies</subject><subject>Chi-square test</subject><subject>Cholesterol</subject><subject>Confidence intervals</subject><subject>Continuity (mathematics)</subject><subject>Coronary artery</subject><subject>Coronary artery disease</subject><subject>Coronary Artery Disease - epidemiology</subject><subject>Coronary vessels</subject><subject>Demographic variables</subject><subject>Demographics</subject><subject>Demography</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Family medical history</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Heart attacks</subject><subject>Heart diseases</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - complications</subject><subject>Hypertension - epidemiology</subject><subject>Independent variables</subject><subject>Ischemia</subject><subject>Lipids</subject><subject>Lipoprotein(a)</subject><subject>Lipoproteins</subject><subject>Medicine and Health Sciences</subject><subject>Mortality</subject><subject>Observational studies</subject><subject>Patients</subject><subject>Population</subject><subject>Population studies</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Risk Factors</subject><subject>Statistical analysis</subject><subject>Statistical significance</subject><subject>Tertiary</subject><subject>Tobacco</subject><subject>Vein & artery 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of lipoprotein (a) with coronary artery disease in a South Asian population: A case-control study</title><author>Joseph, Jacob ; Menon, Jaideep Chanayil ; Sebastien, Placid K ; Sudhakar, Abish ; John, Denny ; Menon, Geetha R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c593t-3d18ba34b8a7da55f67060c143b9e30af9e33f151ebdc4fd5bec653c55d0a3773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Acute coronary syndromes</topic><topic>Adult</topic><topic>Age</topic><topic>Alcohol</topic><topic>Alcohol use</topic><topic>Asian people</topic><topic>Asians</topic><topic>Biology and Life Sciences</topic><topic>Body mass index</topic><topic>Cardiac stress tests</topic><topic>Cardiovascular disease</topic><topic>Case-Control Studies</topic><topic>Chi-square test</topic><topic>Cholesterol</topic><topic>Confidence intervals</topic><topic>Continuity (mathematics)</topic><topic>Coronary artery</topic><topic>Coronary artery disease</topic><topic>Coronary Artery Disease - epidemiology</topic><topic>Coronary vessels</topic><topic>Demographic variables</topic><topic>Demographics</topic><topic>Demography</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Family medical history</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Heart attacks</topic><topic>Heart diseases</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension - complications</topic><topic>Hypertension - epidemiology</topic><topic>Independent variables</topic><topic>Ischemia</topic><topic>Lipids</topic><topic>Lipoprotein(a)</topic><topic>Lipoproteins</topic><topic>Medicine and Health Sciences</topic><topic>Mortality</topic><topic>Observational studies</topic><topic>Patients</topic><topic>Population</topic><topic>Population studies</topic><topic>Public health</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Risk Factors</topic><topic>Statistical analysis</topic><topic>Statistical significance</topic><topic>Tertiary</topic><topic>Tobacco</topic><topic>Vein & artery diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Joseph, Jacob</creatorcontrib><creatorcontrib>Menon, Jaideep Chanayil</creatorcontrib><creatorcontrib>Sebastien, Placid K</creatorcontrib><creatorcontrib>Sudhakar, Abish</creatorcontrib><creatorcontrib>John, Denny</creatorcontrib><creatorcontrib>Menon, Geetha R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology 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titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Joseph, Jacob</au><au>Menon, Jaideep Chanayil</au><au>Sebastien, Placid K</au><au>Sudhakar, Abish</au><au>John, Denny</au><au>Menon, Geetha R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of lipoprotein (a) with coronary artery disease in a South Asian population: A case-control study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2022-05-03</date><risdate>2022</risdate><volume>17</volume><issue>5</issue><spage>e0267807</spage><epage>e0267807</epage><pages>e0267807-e0267807</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Coronary artery disease (CAD), the leading cause of mortality worldwide, is characterised by an earlier onset and more severe disease in South Asians as compared to Western populations.
This is an observational study on 928 individuals who attended three tertiary care centres in Kerala, India from 2014-to 2017. The demographic, anthropometric, behavioural factors and the lipoprotein (Lp(a)) and cholesterol values were compared between the two groups and across disease severity. The Chi-square test was used to compare the categorical variables and independent sample t-test for the continuous variables. Multivariable logistic regression was performed to investigate the association of demographic, clinical and behavioural factors with the disease. Odds ratios are presented with a 95% confidence interval. In individuals below 50 years, two logistic regression models were compared to investigate the improvement in modelling the association of the independent factors and Lp(a) with the occurrence of the disease.
We included 682 patients in the diseased group and 246 patients treated for non-coronary conditions in the control group. Those in the control group were significantly younger than in the diseased group(p<0.002). Significantly more patients were diabetic, hypertensive, tobacco users and consumers of alcohol in the diseased group. Multivariable logistic regression on data from all age groups showed that age (OR = 2.55, 95% CI 1.51-4.33, p = 0.01), diabetes (OR = 3.71, 95% CI 2.42-5.70, p = 0.01), hypertension (OR = 3.03, 95% CI 2.12-4.34, p = 0.01) and tobacco use (OR = 5.44, 95% CI 3.39-8.75, p = 0.01) are significantly associated with the disease. Lp(a) (OR = 1.22, 95% CI 0.87-1.72) increased the odds of the disease by 22% but was not statistically significant. In individuals below 50 years, Lp(a) significantly increased the likelihood of CAD (OR = 3.52, 95% CI 1.63-7.57, p = 0.01). Those with diabetes were seven times more likely to be diseased (OR = 7.06, 95% CI 2.59-19.21, p = 0.01) and the tobacco users had six times the likelihood of disease occurrence (OR = 6.38, 95% CI 2.62-15.54, p = 0.01). The median Lp(a) values showed a statistically significant increasing trend with the extent/severity of the disease in those below 50 years.
Age, diabetes, hypertension and tobacco use appear to be associated more with the occurrence of coronary artery disease in adults of all ages. Lipoprotein(a), cholesterol and BMI categories do not seem to be related to disease status in all ages. However, in individuals below 50 years, diabetes, tobacco use and lipoprotein (a) are significantly associated with the occurrence of the disease.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>35503788</pmid><doi>10.1371/journal.pone.0267807</doi><orcidid>https://orcid.org/0000-0003-2491-0650</orcidid><orcidid>https://orcid.org/0000-0002-0786-8123</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2022-05, Vol.17 (5), p.e0267807-e0267807 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2686209930 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Acute coronary syndromes Adult Age Alcohol Alcohol use Asian people Asians Biology and Life Sciences Body mass index Cardiac stress tests Cardiovascular disease Case-Control Studies Chi-square test Cholesterol Confidence intervals Continuity (mathematics) Coronary artery Coronary artery disease Coronary Artery Disease - epidemiology Coronary vessels Demographic variables Demographics Demography Diabetes Diabetes mellitus Diabetes Mellitus - epidemiology Family medical history Health risk assessment Health risks Heart attacks Heart diseases Humans Hypertension Hypertension - complications Hypertension - epidemiology Independent variables Ischemia Lipids Lipoprotein(a) Lipoproteins Medicine and Health Sciences Mortality Observational studies Patients Population Population studies Public health Regression analysis Regression models Risk Factors Statistical analysis Statistical significance Tertiary Tobacco Vein & artery diseases |
title | Association of lipoprotein (a) with coronary artery disease in a South Asian population: A case-control study |
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