Prevalence and predictors of white-coat hypertension in a large database of ambulatory blood pressure monitoring.
Identifieur interne : 000082 ( Main/Exploration ); précédent : 000081; suivant : 000083Prevalence and predictors of white-coat hypertension in a large database of ambulatory blood pressure monitoring.
Auteurs : S. Abir-Khalil [Maroc] ; S. Zaîmi ; M A Tazi ; S. Bendahmane ; O. Bensaoud ; M. BenomarSource :
- Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit [ 1020-3397 ]
Descripteurs français
- KwdFr :
- Adulte d'âge moyen (MeSH), Analyse multifactorielle (MeSH), Bases de données factuelles (MeSH), Biais (épidémiologie) (MeSH), Consultation médicale (MeSH), Facteurs de risque (MeSH), Femelle (MeSH), Humains (MeSH), Hypertension artérielle (diagnostic), Hypertension artérielle (épidémiologie), Hypertension artérielle (étiologie), Hôpitaux d'enseignement (MeSH), Indice de gravité de la maladie (MeSH), Loi du khi-deux (MeSH), Maroc (épidémiologie), Modèles logistiques (MeSH), Mâle (MeSH), Prévalence (MeSH), Répartition par sexe (MeSH), Surveillance ambulatoire de la pression artérielle (méthodes).
- MESH :
- diagnostic : Hypertension artérielle.
- méthodes : Surveillance ambulatoire de la pression artérielle.
- épidémiologie : Hypertension artérielle, Maroc.
- étiologie : Hypertension artérielle.
- Adulte d'âge moyen, Analyse multifactorielle, Bases de données factuelles, Biais (épidémiologie), Consultation médicale, Facteurs de risque, Femelle, Humains, Hôpitaux d'enseignement, Indice de gravité de la maladie, Loi du khi-deux, Modèles logistiques, Mâle, Prévalence, Répartition par sexe.
English descriptors
- KwdEn :
- Bias (MeSH), Blood Pressure Monitoring, Ambulatory (methods), Chi-Square Distribution (MeSH), Databases, Factual (MeSH), Female (MeSH), Hospitals, Teaching (MeSH), Humans (MeSH), Hypertension (diagnosis), Hypertension (epidemiology), Hypertension (etiology), Logistic Models (MeSH), Male (MeSH), Middle Aged (MeSH), Morocco (epidemiology), Multivariate Analysis (MeSH), Office Visits (MeSH), Prevalence (MeSH), Risk Factors (MeSH), Severity of Illness Index (MeSH), Sex Distribution (MeSH).
- MESH :
- diagnosis : Hypertension.
- epidemiology : Hypertension, Morocco.
- etiology : Hypertension.
- methods : Blood Pressure Monitoring, Ambulatory.
- Bias, Chi-Square Distribution, Databases, Factual, Female, Hospitals, Teaching, Humans, Logistic Models, Male, Middle Aged, Multivariate Analysis, Office Visits, Prevalence, Risk Factors, Severity of Illness Index, Sex Distribution.
Abstract
The objective of this study was to determine both the prevalence of white-coat effect and white-coat hypertension (WCH) and which selected clinical variables were predictors of WCH. A total of 2462 patients underwent ambulatory blood pressure monitoring either in borderline hypertension (group 1) or for assessment of antihypertensive treatment (group 2) or for hypotension (group 3). In the overall population 33.0% of patients showed WCH, 32.8% in group 1 and 37.0% in group 2. In multivariate analysis, sex and grade of hypertension were independent predictors of WCH in groups 1 and 2.
PubMed: 19554987
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 000737
- to stream PubMed, to step Curation: 000733
- to stream PubMed, to step Checkpoint: 000722
- to stream Main, to step Merge: 000082
- to stream Main, to step Curation: 000082
Le document en format XML
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<affiliation wicri:level="3"><nlm:affiliation>Moroccan League for the Control of Cardiovascular Diseases, Department of Cardiology, Avicenne Hospital, Rabat, Morocco. sadabir@hotmail.com</nlm:affiliation>
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<term>Chi-Square Distribution (MeSH)</term>
<term>Databases, Factual (MeSH)</term>
<term>Female (MeSH)</term>
<term>Hospitals, Teaching (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Hypertension (diagnosis)</term>
<term>Hypertension (epidemiology)</term>
<term>Hypertension (etiology)</term>
<term>Logistic Models (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Morocco (epidemiology)</term>
<term>Multivariate Analysis (MeSH)</term>
<term>Office Visits (MeSH)</term>
<term>Prevalence (MeSH)</term>
<term>Risk Factors (MeSH)</term>
<term>Severity of Illness Index (MeSH)</term>
<term>Sex Distribution (MeSH)</term>
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<term>Analyse multifactorielle (MeSH)</term>
<term>Bases de données factuelles (MeSH)</term>
<term>Biais (épidémiologie) (MeSH)</term>
<term>Consultation médicale (MeSH)</term>
<term>Facteurs de risque (MeSH)</term>
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<term>Humains (MeSH)</term>
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<term>Hypertension artérielle (épidémiologie)</term>
<term>Hypertension artérielle (étiologie)</term>
<term>Hôpitaux d'enseignement (MeSH)</term>
<term>Indice de gravité de la maladie (MeSH)</term>
<term>Loi du khi-deux (MeSH)</term>
<term>Maroc (épidémiologie)</term>
<term>Modèles logistiques (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Prévalence (MeSH)</term>
<term>Répartition par sexe (MeSH)</term>
<term>Surveillance ambulatoire de la pression artérielle (méthodes)</term>
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<keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Hypertension</term>
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<keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Surveillance ambulatoire de la pression artérielle</term>
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<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Hypertension artérielle</term>
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<term>Humans</term>
<term>Logistic Models</term>
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<term>Middle Aged</term>
<term>Multivariate Analysis</term>
<term>Office Visits</term>
<term>Prevalence</term>
<term>Risk Factors</term>
<term>Severity of Illness Index</term>
<term>Sex Distribution</term>
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<term>Analyse multifactorielle</term>
<term>Bases de données factuelles</term>
<term>Biais (épidémiologie)</term>
<term>Consultation médicale</term>
<term>Facteurs de risque</term>
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<term>Humains</term>
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<term>Indice de gravité de la maladie</term>
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<front><div type="abstract" xml:lang="en">The objective of this study was to determine both the prevalence of white-coat effect and white-coat hypertension (WCH) and which selected clinical variables were predictors of WCH. A total of 2462 patients underwent ambulatory blood pressure monitoring either in borderline hypertension (group 1) or for assessment of antihypertensive treatment (group 2) or for hypotension (group 3). In the overall population 33.0% of patients showed WCH, 32.8% in group 1 and 37.0% in group 2. In multivariate analysis, sex and grade of hypertension were independent predictors of WCH in groups 1 and 2.</div>
</front>
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<affiliations><list><country><li>Maroc</li>
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<region><li>Rabat-Salé-Kénitra</li>
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<settlement><li>Rabat</li>
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<tree><noCountry><name sortKey="Bendahmane, S" sort="Bendahmane, S" uniqKey="Bendahmane S" first="S" last="Bendahmane">S. Bendahmane</name>
<name sortKey="Benomar, M" sort="Benomar, M" uniqKey="Benomar M" first="M" last="Benomar">M. Benomar</name>
<name sortKey="Bensaoud, O" sort="Bensaoud, O" uniqKey="Bensaoud O" first="O" last="Bensaoud">O. Bensaoud</name>
<name sortKey="Tazi, M A" sort="Tazi, M A" uniqKey="Tazi M" first="M A" last="Tazi">M A Tazi</name>
<name sortKey="Zaimi, S" sort="Zaimi, S" uniqKey="Zaimi S" first="S" last="Zaîmi">S. Zaîmi</name>
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<country name="Maroc"><region name="Rabat-Salé-Kénitra"><name sortKey="Abir Khalil, S" sort="Abir Khalil, S" uniqKey="Abir Khalil S" first="S" last="Abir-Khalil">S. Abir-Khalil</name>
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