Cardiovascular risks and primary interventions among treated rheumatoid arthritis patients: Experience from a tertiary care centre in Kuala Lumpur, Malaysia Article Swipe
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· 2022
· Open Access
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· DOI: https://doi.org/10.4314/tjpr.v21i4.25
Purpose: To investigate the cardiovascular risk among treated rheumatoid arthritis (RA) patients to predict the factors associated with high cardiovascular risk and to determine the presence of pharmacotherapy primary prevention among treated RA patients with high cardiovascular disease (CVD) risk.Methods: The study was a prospective cross-sectional study on adult patients diagnosed and treated for RA and without established heart disease/stroke. Cardiovascular risk scoring was based on Framingham Cardiovascular Disease 10-year risk prediction model (BMI model) x 1.5 factor while descriptive and inferential analyses were done using SPSS.Results: High CVD risk was defined as FRS-CVD cardiovascular risk categories (>20%) and 55.9% of patients were at high CVD risk. Use of Hydroxychloroquine (OR: 0.44; 95 % CI: 0.21- 0.92; p= 0.028) and COX-2 inhibitors (OR: 0.31; 95% CI:0.10- 0.95; p = 0.039) were found to be significantly associated with high CVD risk among treated RA patients. Significant number of high CVD risk patients did receive pharmacotherapy primary prevention (p = 0.001).Conclusion: Hydroxychloroquine and COX-2 inhibitors are independent negative risk predictors associated with high CVD risk among treated RA patients. Baseline cardiovascular risk data may be useful in rational use of medications to treat RA, considering that cardiovascular related mortality is the leading cause of death in RA.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.4314/tjpr.v21i4.25
- https://www.ajol.info/index.php/tjpr/article/download/226218/213486
- OA Status
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4293075682Canonical identifier for this work in OpenAlex
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https://doi.org/10.4314/tjpr.v21i4.25Digital Object Identifier
- Title
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Cardiovascular risks and primary interventions among treated rheumatoid arthritis patients: Experience from a tertiary care centre in Kuala Lumpur, MalaysiaWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-06-04Full publication date if available
- Authors
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Shantini Radhakrishnan, Salmi Abdul Razak, Mohd Shahrir Mohamed Said, Noraida Mohamed Shah, Adyani Md RedzuanList of authors in order
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https://doi.org/10.4314/tjpr.v21i4.25Publisher landing page
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https://www.ajol.info/index.php/tjpr/article/download/226218/213486Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.ajol.info/index.php/tjpr/article/download/226218/213486Direct OA link when available
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Medicine, Internal medicine, Rheumatoid arthritis, Framingham Risk Score, Hydroxychloroquine, Disease, Pharmacotherapy, Risk factor, Proportional hazards model, Infectious disease (medical specialty), Coronavirus disease 2019 (COVID-19)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2023: 1Per-year citation counts (last 5 years)
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18Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(BMI | 73 |
| abstract_inverted_index.(OR: | 110, 122 |
| abstract_inverted_index.(RA) | 10 |
| abstract_inverted_index.High | 87 |
| abstract_inverted_index.data | 180 |
| abstract_inverted_index.done | 84 |
| abstract_inverted_index.high | 18, 35, 104, 137, 147, 170 |
| abstract_inverted_index.risk | 5, 20, 61, 70, 89, 95, 139, 149, 166, 172, 179 |
| abstract_inverted_index.that | 193 |
| abstract_inverted_index.were | 83, 102, 130 |
| abstract_inverted_index.with | 17, 34, 136, 169 |
| abstract_inverted_index.(CVD) | 38 |
| abstract_inverted_index.0.21- | 115 |
| abstract_inverted_index.0.31; | 123 |
| abstract_inverted_index.0.44; | 111 |
| abstract_inverted_index.0.92; | 116 |
| abstract_inverted_index.0.95; | 126 |
| abstract_inverted_index.55.9% | 99 |
| abstract_inverted_index.COX-2 | 120, 161 |
| abstract_inverted_index.adult | 48 |
| abstract_inverted_index.among | 6, 30, 140, 173 |
| abstract_inverted_index.based | 64 |
| abstract_inverted_index.cause | 200 |
| abstract_inverted_index.death | 202 |
| abstract_inverted_index.found | 131 |
| abstract_inverted_index.heart | 58 |
| abstract_inverted_index.model | 72 |
| abstract_inverted_index.risk. | 106 |
| abstract_inverted_index.study | 41, 46 |
| abstract_inverted_index.treat | 190 |
| abstract_inverted_index.using | 85 |
| abstract_inverted_index.while | 78 |
| abstract_inverted_index.0.028) | 118 |
| abstract_inverted_index.0.039) | 129 |
| abstract_inverted_index.factor | 77 |
| abstract_inverted_index.model) | 74 |
| abstract_inverted_index.number | 145 |
| abstract_inverted_index.useful | 183 |
| abstract_inverted_index.10-year | 69 |
| abstract_inverted_index.Disease | 68 |
| abstract_inverted_index.FRS-CVD | 93 |
| abstract_inverted_index.defined | 91 |
| abstract_inverted_index.disease | 37 |
| abstract_inverted_index.factors | 15 |
| abstract_inverted_index.leading | 199 |
| abstract_inverted_index.predict | 13 |
| abstract_inverted_index.primary | 28, 154 |
| abstract_inverted_index.receive | 152 |
| abstract_inverted_index.related | 195 |
| abstract_inverted_index.scoring | 62 |
| abstract_inverted_index.treated | 7, 31, 52, 141, 174 |
| abstract_inverted_index.without | 56 |
| abstract_inverted_index.Baseline | 177 |
| abstract_inverted_index.CI:0.10- | 125 |
| abstract_inverted_index.Purpose: | 0 |
| abstract_inverted_index.analyses | 82 |
| abstract_inverted_index.negative | 165 |
| abstract_inverted_index.patients | 11, 33, 49, 101, 150 |
| abstract_inverted_index.presence | 25 |
| abstract_inverted_index.rational | 185 |
| abstract_inverted_index.(>20%) | 97 |
| abstract_inverted_index.arthritis | 9 |
| abstract_inverted_index.determine | 23 |
| abstract_inverted_index.diagnosed | 50 |
| abstract_inverted_index.mortality | 196 |
| abstract_inverted_index.patients. | 143, 176 |
| abstract_inverted_index.Framingham | 66 |
| abstract_inverted_index.associated | 16, 135, 168 |
| abstract_inverted_index.categories | 96 |
| abstract_inverted_index.inhibitors | 121, 162 |
| abstract_inverted_index.prediction | 71 |
| abstract_inverted_index.predictors | 167 |
| abstract_inverted_index.prevention | 29, 155 |
| abstract_inverted_index.rheumatoid | 8 |
| abstract_inverted_index.Significant | 144 |
| abstract_inverted_index.considering | 192 |
| abstract_inverted_index.descriptive | 79 |
| abstract_inverted_index.established | 57 |
| abstract_inverted_index.independent | 164 |
| abstract_inverted_index.inferential | 81 |
| abstract_inverted_index.investigate | 2 |
| abstract_inverted_index.medications | 188 |
| abstract_inverted_index.prospective | 44 |
| abstract_inverted_index.SPSS.Results: | 86 |
| abstract_inverted_index.risk.Methods: | 39 |
| abstract_inverted_index.significantly | 134 |
| abstract_inverted_index.Cardiovascular | 60, 67 |
| abstract_inverted_index.cardiovascular | 4, 19, 36, 94, 178, 194 |
| abstract_inverted_index.cross-sectional | 45 |
| abstract_inverted_index.disease/stroke. | 59 |
| abstract_inverted_index.pharmacotherapy | 27, 153 |
| abstract_inverted_index.0.001).Conclusion: | 158 |
| abstract_inverted_index.Hydroxychloroquine | 109, 159 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5055929066 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I885383172 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8700000047683716 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.53606057 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |