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Enregistrement W2771208765 · doi:10.1097/hjh.0000000000001516

The perils of determining cardiovascular risk in relation to home blood pressure

2017· letter· en· W2771208765 sur OpenAlexaff
Martin G. Myers

Notice bibliographique

RevueJournal of Hypertension · 2017
Typeletter
Langueen
DomaineMedicine
ThématiqueBlood Pressure and Hypertension Studies
Établissements canadiensUniversity of TorontoHealth Sciences CentreSunnybrook Health Science Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineBlood pressureRelation (database)CardiologyInternal medicineIntensive care medicineData mining

Résumé

récupéré en direct d'OpenAlex

In most guidelines, home blood pressure (BP) measurement is recommended for diagnosing hypertension when 24-h ambulatory BP monitoring (ABPM) is not available or not feasible. This recommendation is based upon evidence derived from a number of clinical outcome studies involving study participants followed over a period of years after being assessed for both office and home BP. The superiority of ABPM over home BP in the guidelines for diagnosing hypertension is based upon several factors, including the number of clinical outcome studies, the sample sizes enrolled, the number of out-of-office BP measurements and the extent to which ABPM readings are superior to office BP in predicting future cardiovascular events. In most instances ABPM comes out ahead, although more clinical outcome studies directly comparing ABPM and home BP are needed to resolve the question of which method is superior. The recent development of home BP devices which are capable of recording BP during sleep [1] may eliminate the differences between these two approaches to obtaining out-of-office BP readings. Furthermore, the use of automated office BP measurements [2] which are devoid of a white-coat effect (office BP higher than ambulatory/home BP) may reduce the superiority of ABPM and home BP over conventional office BP readings. Numerous studies have examined the possibility that individuals with white-coat hypertension (WCH) who have hypertension in the office but a normal BP using ABPM or home BP may be subject to an increased risk of experiencing a cardiovascular event. Despite these efforts, the association between WCH and an increase in cardiovascular events remains uncertain. Individual studies have sometimes reported positive findings, although the overall data are not supportive of a causal relationship. One reason for the somewhat contradictory findings is a mismatch in out-of-office BP between control normotensive study participants and those with WCH. Study participants with WCH may only be at increased cardiovascular risk when their home BP or awake ambulatory BP is higher than it is in the normotensive control group. A recent review [3] of six separate meta-analyses [4–7] from the International Database on Ambulatory BP in Relation to Cardiovascular Outcomes and International Database on Home BP in Relation to Cardiovascular Outcome reported an association between cardiovascular risk and the difference in out-of-office BP between the WCH study participants and normotensive controls. Overall, study participants with WCH tended to have a higher ambulatory or home BP compared with controls. The data from these studies exhibited a statistically significant correlation (P = 0.019 using Spearman's coefficient of correlation analysis) between the hazard ratios for WCH patients experiencing a cardiovascular event and the difference in home or ambulatory BP [3]. Only the two analyses [6,7] with the greatest differences in out-of-office BP reported a statistically significant hazard ratio. Otherwise, these International Database on Ambulatory BP in Relation to Cardiovascular Outcomes and International Database on Home BP in Relation to Cardiovascular Outcome meta-analyses involved a rigorous examination of data from community-dwelling study participants untreated for hypertension, thus enhancing the external validity of their overall findings. It is easy to understand why the literature on the possible cardiovascular risk of WCH may seem confusing. Another meta-analysis of clinical outcome studies published in the same issue [8] as the above review [3] concluded that WCH was a cardiovascular risk factor. This analysis used data from studies which contained higher out-of-office BP values in WCH versus normotensive study participants. In this instance, the authors dismissed the importance of this difference, saying that it ‘could not completely account for the significant increase in cardiovascular disease or total mortality’, without providing any detailed analysis in support of this statement. The results of the Didima Study [9], published elsewhere in the current issue, also contain data which appear to implicate WCH as a cardiovascular risk factor. However, in this instance, the authors recognized other possible explanations for this apparent association. The Didima Study is unusual in that its 662 participants were followed over a lengthy period of 19 years for all-cause mortality and fatal and nonfatal cardiovascular events in relation to home BP readings recorded at baseline. Only 34 (5.1%) study participants exhibited WCH, which in itself is quite a small number compared with much higher proportions in other studies. Nonetheless, the adjusted hazard ratio for cardiovascular mortality and morbidity for the WCH group was 2.67 compared with 1.45 and 1.53 for sustained and masked hypertension, respectively. Similar results were seen for all-cause mortality as an outcome. As this is the only study to have reported such a disproportionately high hazard ratio for WCH compared with masked or sustained hypertension, the authors sought other explanations for their findings. They noted the limited power of the study with a small sample size and only 15 endpoints in the WCH group which could explain the discrepant results, together with the difficulty in ascertaining clinical outcomes over 19 years of follow-up. They also stated that the increase in hazard ratio in the WCH group could be attributed to their mean home BP being 14/7 mmHg higher than with the normotensive controls. Although the analyses were adjusted for antihypertensive drug use, there were marked differences between groups for this factor, with 27% of WCH study participants receiving drug therapy for hypertension compared with only 6% in the control group. We now know that the cardiovascular risk of treated WCH is considerably higher than for untreated WCH [5], which could easily thwart any adjustment of the data. Thus, the finding of a higher rate of cardiovascular events in the WCH group may actually be valid, but the higher risk may have been because of the enrollment of patients with treated hypertension, being classified as having WCH. If so, these results would not be relevant to WCH confounding a diagnosis of hypertension in an untreated patient. Leaving aside any limitations of the Didima Study related to its patient population, it is remarkable that a single set of 12 home BP readings was still able to have prognostic value for both office and home BP with no additional BP data or other measures of cardiovascular risk being collected during 19 years of follow-up. This study is also an example of how difficult it is to conduct clinical research in the community over a prolonged period and still come up with meaningful results. In this study, study participants were under the care of their own physicians who made decisions regarding all aspects of hypertension management, including changes in antihypertensive drug therapy. Clinical outcomes were only ascertained once every decade, with the initial results being published in 2007 [10]. In this earlier report, the primary outcome was combined fatal and nonfatal cardiovascular events, but, because of the uncertainty of accurately ascertaining endpoints in community-dwelling study participants over 19 years, the primary outcome was changed to all-cause mortality in the final data analysis. However, Ntineri et al.[9] also included separate analyses for cardiovascular events in this final report, with the findings being similar to the new primary outcome. A number of lessons can be learned from the Didima experience. In any clinical outcome cohort study involving WCH or masked hypertension, it is important to match groups optimally, especially for factors affecting cardiovascular endpoints, when examining the risks of WCH, such as home BP or ambulatory BP. Normotensive and WCH study participants should ideally be untreated if the results are to be relevant to diagnosing hypertension. Statistical adjustment may not always remove the impact of relevant covariables on the results. Groups should be examined at baseline for any obvious discrepancies, such as the unusually low percentage of study participants with WCH. Despite one-third of participants dying during the 19 years of follow-up, the Didima Study may still have been underpowered for this outcome, resulting in type I error. The same could be said for the analyses on BP variability and cardiovascular risk, using data from the study, which produced results of limited statistical significance. If possible, cardiovascular events should be monitored more frequently than once every decade. Finally, the use of all-cause mortality will avoid missing cardiovascular outcomes which are misclassified, but does so at the expense of including end-points, such as deaths from cancer, which are unlikely to be related to the parameter of interest, in this case BP. During the past three decades, the white-coat effect experienced by 20–25% of patients who are diagnosed with high BP readings in the office has resulted in the overdiagnosis and overtreatment of hypertension. With the increased use of ABPM and home BP to make a diagnosis of hypertension combined with automated office BP for hypertension screening and follow-up, there should be a dramatic reduction in the proportion of patients misdiagnosed and overtreated because of a white-coat effect. Until proven otherwise, ABPM and home BP are the best determinants of cardiovascular morbidity and mortality related to BP partly because, by definition, they are devoid of any white-coat effect. ACKNOWLEDGEMENTS Conflicts of interest There are no conflicts of interest.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,011
score de la tête « metaresearch » (Gemma)0,030
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,058

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0110,030
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,004
Études des sciences et des technologies0,0010,002
Communication savante0,0030,002
Science ouverte0,0020,001
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,039
Tête enseignante GPT0,253
Écart entre enseignants0,215 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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