Identification of Predictable Biomarkers in Conjunction to Framingham Risk Score to Predict the Risk for Cardiovascular disease (CVD) in Non Cardiac Subjects
Introduction: Although the cardiovascular disease (CVD) burden is rising in different countries, the morbidity and mortality rate is not reduced to much extent because of lack of application of the biomarkers for diagnosing CVD. Hence, we aimed to establish the predictable biomarkers in conjunct...
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| Format: | Article |
| Language: | English |
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JCDR Research and Publications Private Limited
2015-02-01
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| Series: | Journal of Clinical and Diagnostic Research |
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| Online Access: | https://jcdr.net/articles/PDF/5589/9089_CE(RA1)_F(T)_PF1(NJAK)_PFA(AK)_PF2(PAG).pdf |
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| author | Rama Krishna Reddy Y.V. Jaideep Mahendra Prema Gurumurthy Jayamathi Sai Babu |
| author_facet | Rama Krishna Reddy Y.V. Jaideep Mahendra Prema Gurumurthy Jayamathi Sai Babu |
| author_sort | Rama Krishna Reddy Y.V. |
| collection | DOAJ |
| description | Introduction: Although the cardiovascular disease (CVD) burden
is rising in different countries, the morbidity and mortality rate is
not reduced to much extent because of lack of application of the
biomarkers for diagnosing CVD. Hence, we aimed to establish the
predictable biomarkers in conjunction to framingham risk score
in order to predict the risk for CVD in non cardiac patients.
Materials and Methods: Three hundred subjects were screened
for the study who came for the master health checkup. Out of
them 50 patients were excluded as they were under medication.
23 patients were excluded due to various systemic diseases like
fever and infection etc. The remaining of 227 patients with age
range of 30-80 y was randomly selected for investigation. These
subjects were divided into four different groups: Group I – controls
with age range: 30-60 y (n=50) these subjects were free from all
the systemic ailments and risk factors. Study groups comprised
of Group II - (n=44) with age range: 30-40 y, Group III - (n=50)
with age range: 41-50 y and Group IV - (n=83) with age range:
51-80 y. Patients with different risk factors without medication
participated as study groups. Routine biochemical parameters
were analysed using fully automated analyser and atherosclerotic
biomarkers was analysed using ELISA kit. In addition to this,
framingham risk scores was calculated in all the groups, for 30 y
risk prognosis for CVD.
Results: The atherosclerotic biomarkers such as E-selectin,
Leptin, osteoprotegerin (OPG) and Ox-LDL were elevated
among the study groups as compared to control group. Pearson
correlation showed a significant association between the
individual risk score (30 y framingham risk for CVD) of individuals,
and the above biomarkers. The Receiver operating curve (ROC)
analysis also showed a greater area under curve with higher
sensitivity and specificity.
Conclusion: We conclude the application E-Selectin, leptin,
OPG and Ox-LDL as biomarkers along with the framingham risk
scores in prediction risk for CVD in the individuals with subclinical
atherosclerosis. It is more reliable and predictable as compared
to the individual biomarkers alone. |
| first_indexed | 2024-12-11T03:27:57Z |
| format | Article |
| id | doaj.art-9c81f929825046fc8605aeba393122af |
| institution | Directory Open Access Journal |
| issn | 2249-782X 0973-709X |
| language | English |
| last_indexed | 2024-12-11T03:27:57Z |
| publishDate | 2015-02-01 |
| publisher | JCDR Research and Publications Private Limited |
| record_format | Article |
| series | Journal of Clinical and Diagnostic Research |
| spelling | doaj.art-9c81f929825046fc8605aeba393122af2022-12-22T01:22:28ZengJCDR Research and Publications Private LimitedJournal of Clinical and Diagnostic Research2249-782X0973-709X2015-02-0192BC23BC2710.7860/JCDR/2015/9089.5589Identification of Predictable Biomarkers in Conjunction to Framingham Risk Score to Predict the Risk for Cardiovascular disease (CVD) in Non Cardiac SubjectsRama Krishna Reddy Y.V.0Jaideep Mahendra1Prema Gurumurthy2Jayamathi3Sai Babu4Research Scholar, Department of Biochemistry, Frontier Lifeline Hospital, Mogappair, Chennai, India.Professor, Department of Periodontics, Meenakshi Ammal Dental College, Madhuravoyal, Chennai. India.Director - Research, Meenakshi Academy of Higher Education and Research, West K.K. Nagar, Chennai, India.Professor, Department of Biochemistry, Meenakshi Ammal Dental College, Madhuravoyal, Chennai, India.Head, Department of Biochemistry, Frontier Lifeline Hospital, Mogappair, Chennai, India.Introduction: Although the cardiovascular disease (CVD) burden is rising in different countries, the morbidity and mortality rate is not reduced to much extent because of lack of application of the biomarkers for diagnosing CVD. Hence, we aimed to establish the predictable biomarkers in conjunction to framingham risk score in order to predict the risk for CVD in non cardiac patients. Materials and Methods: Three hundred subjects were screened for the study who came for the master health checkup. Out of them 50 patients were excluded as they were under medication. 23 patients were excluded due to various systemic diseases like fever and infection etc. The remaining of 227 patients with age range of 30-80 y was randomly selected for investigation. These subjects were divided into four different groups: Group I – controls with age range: 30-60 y (n=50) these subjects were free from all the systemic ailments and risk factors. Study groups comprised of Group II - (n=44) with age range: 30-40 y, Group III - (n=50) with age range: 41-50 y and Group IV - (n=83) with age range: 51-80 y. Patients with different risk factors without medication participated as study groups. Routine biochemical parameters were analysed using fully automated analyser and atherosclerotic biomarkers was analysed using ELISA kit. In addition to this, framingham risk scores was calculated in all the groups, for 30 y risk prognosis for CVD. Results: The atherosclerotic biomarkers such as E-selectin, Leptin, osteoprotegerin (OPG) and Ox-LDL were elevated among the study groups as compared to control group. Pearson correlation showed a significant association between the individual risk score (30 y framingham risk for CVD) of individuals, and the above biomarkers. The Receiver operating curve (ROC) analysis also showed a greater area under curve with higher sensitivity and specificity. Conclusion: We conclude the application E-Selectin, leptin, OPG and Ox-LDL as biomarkers along with the framingham risk scores in prediction risk for CVD in the individuals with subclinical atherosclerosis. It is more reliable and predictable as compared to the individual biomarkers alone.https://jcdr.net/articles/PDF/5589/9089_CE(RA1)_F(T)_PF1(NJAK)_PFA(AK)_PF2(PAG).pdfatherosclerotic biomarkerscardiovascular diseasesframingham studyosteoprotegerinsubclinical atherosclerosis |
| spellingShingle | Rama Krishna Reddy Y.V. Jaideep Mahendra Prema Gurumurthy Jayamathi Sai Babu Identification of Predictable Biomarkers in Conjunction to Framingham Risk Score to Predict the Risk for Cardiovascular disease (CVD) in Non Cardiac Subjects Journal of Clinical and Diagnostic Research atherosclerotic biomarkers cardiovascular diseases framingham study osteoprotegerin subclinical atherosclerosis |
| title | Identification of Predictable Biomarkers in Conjunction to Framingham Risk Score to Predict the Risk for Cardiovascular disease (CVD) in Non Cardiac Subjects |
| title_full | Identification of Predictable Biomarkers in Conjunction to Framingham Risk Score to Predict the Risk for Cardiovascular disease (CVD) in Non Cardiac Subjects |
| title_fullStr | Identification of Predictable Biomarkers in Conjunction to Framingham Risk Score to Predict the Risk for Cardiovascular disease (CVD) in Non Cardiac Subjects |
| title_full_unstemmed | Identification of Predictable Biomarkers in Conjunction to Framingham Risk Score to Predict the Risk for Cardiovascular disease (CVD) in Non Cardiac Subjects |
| title_short | Identification of Predictable Biomarkers in Conjunction to Framingham Risk Score to Predict the Risk for Cardiovascular disease (CVD) in Non Cardiac Subjects |
| title_sort | identification of predictable biomarkers in conjunction to framingham risk score to predict the risk for cardiovascular disease cvd in non cardiac subjects |
| topic | atherosclerotic biomarkers cardiovascular diseases framingham study osteoprotegerin subclinical atherosclerosis |
| url | https://jcdr.net/articles/PDF/5589/9089_CE(RA1)_F(T)_PF1(NJAK)_PFA(AK)_PF2(PAG).pdf |
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