Ten-year risk assessment for cardiovascular diseases using ASCVD risk estimator plus: outcomes from hypertension and diabetes patients
Abstract Background Cardiovascular risk prediction models encompass numerous CVD risk factors. Available prediction models were developed from non-Asian cohorts hence we decided to evaluate the performance of the ASCVD risk estimator model and the associated 10-year CVD predisposing factors in Punja...
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| Format: | Article |
| Language: | English |
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BMC
2023-10-01
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| Series: | Diabetology & Metabolic Syndrome |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13098-023-01170-2 |
| _version_ | 1797647238131875840 |
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| author | Ian Osoro Ranjeet Kumar Amit Sharma |
| author_facet | Ian Osoro Ranjeet Kumar Amit Sharma |
| author_sort | Ian Osoro |
| collection | DOAJ |
| description | Abstract Background Cardiovascular risk prediction models encompass numerous CVD risk factors. Available prediction models were developed from non-Asian cohorts hence we decided to evaluate the performance of the ASCVD risk estimator model and the associated 10-year CVD predisposing factors in Punjab. Methods We carried out a cross-sectional study among patients having hypertension and diabetes mellitus in a tertiary hospital in Punjab, India. 201 participants without ASCVD who were ≥ 40 years old and had been admitted to the medical ward were assessed. a pre-validated questionnaire was used to collect data on the socio-demographics and behavioral patterns. Lipid profile and blood pressure measurements were collected as per standard protocols. The respondents’ CVD risk was assessed using ASCVD Risk Estimator Plus. Data were analyzed using IBM SPSS version 26; bivariate analysis was done using Chi-square and binary logistic regression was used to identify the predictors of 10-year risk for CVD at a 5% level of significance. Measurements. We examined the stratification of the predicted outcomes and evaluated the associations between individual risk factors and the predicted cardiovascular events. Our study categorized the results of these outcomes into 4 categories: low category (1–5%), borderline category (6–9%) intermediate category (10–20%), and high category (21–95%). Results Out of the 201 participants that enrolled in our study, the majority 76 (37.8%) were in the intermediate category, 56 (27.9%) were in the high category, 41 (20.4%) were in the borderline category, 28 (13.9%) were in the low category. The median ASCVD percentage was 14.20%. Respondents who were alcoholics, smokers, and drug abusers (OR = 5.8, 95% CI 0.397–83.584) were associated with the highest likelihood of developing CVDs. Furthermore, males had a significantly higher mean predicted CVD outcome % (M = 23.18%) compared to females (M = 14.91%). Conclusion According to our prediction study, it was discovered that 145 (72.1%) participants were not likely to have had an ASCVD in the next 10 years. However, middle-aged males should be more cautious with their lifestyle habits, particularly in dealing with risk factors that can expose them to CVDs. |
| first_indexed | 2024-03-11T15:13:22Z |
| format | Article |
| id | doaj.art-164b69ac2ae646d99ae8019be0506a97 |
| institution | Directory Open Access Journal |
| issn | 1758-5996 |
| language | English |
| last_indexed | 2024-03-11T15:13:22Z |
| publishDate | 2023-10-01 |
| publisher | BMC |
| record_format | Article |
| series | Diabetology & Metabolic Syndrome |
| spelling | doaj.art-164b69ac2ae646d99ae8019be0506a972023-10-29T12:31:02ZengBMCDiabetology & Metabolic Syndrome1758-59962023-10-011511710.1186/s13098-023-01170-2Ten-year risk assessment for cardiovascular diseases using ASCVD risk estimator plus: outcomes from hypertension and diabetes patientsIan Osoro0Ranjeet Kumar1Amit Sharma2Department of Pharmacy Practice, ISF College of PharmacyDepartment of Pharmacy Practice, ISF College of PharmacyDepartment of Pharmacy Practice, ISF College of PharmacyAbstract Background Cardiovascular risk prediction models encompass numerous CVD risk factors. Available prediction models were developed from non-Asian cohorts hence we decided to evaluate the performance of the ASCVD risk estimator model and the associated 10-year CVD predisposing factors in Punjab. Methods We carried out a cross-sectional study among patients having hypertension and diabetes mellitus in a tertiary hospital in Punjab, India. 201 participants without ASCVD who were ≥ 40 years old and had been admitted to the medical ward were assessed. a pre-validated questionnaire was used to collect data on the socio-demographics and behavioral patterns. Lipid profile and blood pressure measurements were collected as per standard protocols. The respondents’ CVD risk was assessed using ASCVD Risk Estimator Plus. Data were analyzed using IBM SPSS version 26; bivariate analysis was done using Chi-square and binary logistic regression was used to identify the predictors of 10-year risk for CVD at a 5% level of significance. Measurements. We examined the stratification of the predicted outcomes and evaluated the associations between individual risk factors and the predicted cardiovascular events. Our study categorized the results of these outcomes into 4 categories: low category (1–5%), borderline category (6–9%) intermediate category (10–20%), and high category (21–95%). Results Out of the 201 participants that enrolled in our study, the majority 76 (37.8%) were in the intermediate category, 56 (27.9%) were in the high category, 41 (20.4%) were in the borderline category, 28 (13.9%) were in the low category. The median ASCVD percentage was 14.20%. Respondents who were alcoholics, smokers, and drug abusers (OR = 5.8, 95% CI 0.397–83.584) were associated with the highest likelihood of developing CVDs. Furthermore, males had a significantly higher mean predicted CVD outcome % (M = 23.18%) compared to females (M = 14.91%). Conclusion According to our prediction study, it was discovered that 145 (72.1%) participants were not likely to have had an ASCVD in the next 10 years. However, middle-aged males should be more cautious with their lifestyle habits, particularly in dealing with risk factors that can expose them to CVDs.https://doi.org/10.1186/s13098-023-01170-2Cardiovascular diseaseIndiansRisk prediction modelASCVD risk estimator plusHypertensionDiabetes |
| spellingShingle | Ian Osoro Ranjeet Kumar Amit Sharma Ten-year risk assessment for cardiovascular diseases using ASCVD risk estimator plus: outcomes from hypertension and diabetes patients Diabetology & Metabolic Syndrome Cardiovascular disease Indians Risk prediction model ASCVD risk estimator plus Hypertension Diabetes |
| title | Ten-year risk assessment for cardiovascular diseases using ASCVD risk estimator plus: outcomes from hypertension and diabetes patients |
| title_full | Ten-year risk assessment for cardiovascular diseases using ASCVD risk estimator plus: outcomes from hypertension and diabetes patients |
| title_fullStr | Ten-year risk assessment for cardiovascular diseases using ASCVD risk estimator plus: outcomes from hypertension and diabetes patients |
| title_full_unstemmed | Ten-year risk assessment for cardiovascular diseases using ASCVD risk estimator plus: outcomes from hypertension and diabetes patients |
| title_short | Ten-year risk assessment for cardiovascular diseases using ASCVD risk estimator plus: outcomes from hypertension and diabetes patients |
| title_sort | ten year risk assessment for cardiovascular diseases using ascvd risk estimator plus outcomes from hypertension and diabetes patients |
| topic | Cardiovascular disease Indians Risk prediction model ASCVD risk estimator plus Hypertension Diabetes |
| url | https://doi.org/10.1186/s13098-023-01170-2 |
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