Non-HDL cholesterol is better than LDL-c at predicting atherosclerotic cardiovascular disease risk factors clustering, even in subjects with near-to-normal triglycerides: A report from a Venezuelan population Article Swipe
Valmore Bermúdez
,
Wheeler Torres
,
Juan Salazar
,
Maria Sofía Martinez
,
Edward Rojas
,
Luis Carlos Olivar
,
Víctor Lameda
,
Ángel Ortega
,
Paola Ramírez
,
Milagros Rojas
,
Sheena Rastogi
,
Rosanna D’Addosio
,
Kyle Hoedebecke
,
Modesto Graterol
,
Resemily Graterol
,
Sandra Wilches
,
Mayela Cabrera de Bravo
,
Joselyn Rojas
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.12688/f1000research.13005.2
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.12688/f1000research.13005.2
Background: Non-high density lipoprotein cholesterol (non-HDL-c) has emerged as an important tool in primary prevention of atherosclerotic cardiovascular disease (ASCVD), especially among those at high risk. The main objective of this study was to evaluate the predictive value of non-HDL-c for the coexistence aggregation of multiple ASCVD risk factors and compare this with LDL-c in general subjects with normal or near normal triglycerides from Maracaibo city in Venezuela. Methods: This is a descriptive, cross-sectional study with a randomized multistage sampling. 2026 subjects were selected for this study, all were adults ≥18 years old of both genders and inhabitants of Maracaibo city, Venezuela. A complete history and physical medical assessment was performed. A multivariate logistic regression model was used to determine the odds ratio (CI95%) for the coexistence of multiple risk factors for ASCVD. Results: The median (p25-p75) of non-HDL-c was 143 mg/dL (114-174 mg/dL). 52.1% (n=1056) of the sample were women, with a median of 144 mg/dL (115-174 mg/dL) among women and 143 mg/dL (114-17 4mg/dL) among men; p=0.740. Individuals ≥50 years old, smokers, those with hypertension, obesity, diabetes, high waist circumference and elevated hs-C Reactive Protein, all had higher levels of non-HDL-c. A lower median was observed among those Conclusions: Elevated non-HDL-c was associated with conglomeration of multiple risk factors for ASCVD. This suggests evaluation of non-HDL-c may be of better utility in primary care for early identification of subjects for high risk of ASCVD. Future research might focus on the influence of non-HDL-c in cardiovascular mortality.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.12688/f1000research.13005.2
- https://f1000research.com/articles/7-504/v2/pdf
- OA Status
- gold
- Cited By
- 1
- References
- 48
- Related Works
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- OpenAlex ID
- https://openalex.org/W2801319096
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2801319096Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.12688/f1000research.13005.2Digital Object Identifier
- Title
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Non-HDL cholesterol is better than LDL-c at predicting atherosclerotic cardiovascular disease risk factors clustering, even in subjects with near-to-normal triglycerides: A report from a Venezuelan populationWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-12-19Full publication date if available
- Authors
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Valmore Bermúdez, Wheeler Torres, Juan Salazar, Maria Sofía Martinez, Edward Rojas, Luis Carlos Olivar, Víctor Lameda, Ángel Ortega, Paola Ramírez, Milagros Rojas, Sheena Rastogi, Rosanna D’Addosio, Kyle Hoedebecke, Modesto Graterol, Resemily Graterol, Sandra Wilches, Mayela Cabrera de Bravo, Joselyn RojasList of authors in order
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https://doi.org/10.12688/f1000research.13005.2Publisher landing page
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https://f1000research.com/articles/7-504/v2/pdfDirect 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://f1000research.com/articles/7-504/v2/pdfDirect OA link when available
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Waist, Medicine, Internal medicine, Population, Logistic regression, Diabetes mellitus, Disease, Endocrinology, Obesity, Environmental healthTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2021: 1Per-year citation counts (last 5 years)
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48Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Non-HDL-c | 213 |
| abstract_inverted_index.determine | 119 |
| abstract_inverted_index.diabetes, | 178 |
| abstract_inverted_index.important | 10 |
| abstract_inverted_index.influence | 291 |
| abstract_inverted_index.non-HDL-c | 39, 138, 251, 266, 293 |
| abstract_inverted_index.objective | 28 |
| abstract_inverted_index.sampling. | 79 |
| abstract_inverted_index.Venezuela. | 101 |
| abstract_inverted_index.assessment | 108 |
| abstract_inverted_index.associated | 229, 253 |
| abstract_inverted_index.coexistent | 234 |
| abstract_inverted_index.especially | 20 |
| abstract_inverted_index.evaluation | 264 |
| abstract_inverted_index.multistage | 78 |
| abstract_inverted_index.non-HDL-c. | 192 |
| abstract_inverted_index.performed. | 110 |
| abstract_inverted_index.predictive | 36 |
| abstract_inverted_index.prevention | 14 |
| abstract_inverted_index.randomized | 77 |
| abstract_inverted_index.regression | 114 |
| abstract_inverted_index.(non-HDL-c) | 5 |
| abstract_inverted_index.Individuals | 169 |
| abstract_inverted_index.aggregation | 43 |
| abstract_inverted_index.cholesterol | 4 |
| abstract_inverted_index.coexistence | 42, 126 |
| abstract_inverted_index.inhabitants | 97 |
| abstract_inverted_index.lipoprotein | 3 |
| abstract_inverted_index.p<0.001) | 220, 227 |
| abstract_inverted_index.significant | 244 |
| abstract_inverted_index.descriptive, | 72 |
| abstract_inverted_index.multivariate | 112, 247 |
| abstract_inverted_index.circumference | 181 |
| abstract_inverted_index.hypertension, | 176 |
| abstract_inverted_index.triglycerides | 62 |
| abstract_inverted_index.95%=1.48-4.02; | 219 |
| abstract_inverted_index.95%=1.72-6.23; | 226 |
| abstract_inverted_index.cardiovascular | 17, 295 |
| abstract_inverted_index.conglomeration | 255 |
| abstract_inverted_index.identification | 277 |
| abstract_inverted_index.atherosclerotic | 16 |
| abstract_inverted_index.cross-sectional | 73 |
| abstract_inverted_index.mortality.</ns4:p> | 296 |
| abstract_inverted_index.ASCVD.</ns4:p><ns4:p> | 132 |
| abstract_inverted_index.model.</ns4:p><ns4:p> | 248 |
| abstract_inverted_index.Venezuela.</ns4:p><ns4:p> | 67 |
| abstract_inverted_index.<ns4:bold>Methods:</ns4:bold> | 68 |
| abstract_inverted_index.<ns4:bold>Results:</ns4:bold> | 133 |
| abstract_inverted_index.<ns4:bold>Conclusions:</ns4:bold> | 249 |
| abstract_inverted_index.<ns4:p><ns4:bold>Background:</ns4:bold> | 0 |
| cited_by_percentile_year.max | 93 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 18 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8899999856948853 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.53264706 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |