Withdrawal of antihypertensive drugs in older people
Notice bibliographique
Résumé
BACKGROUND: Hypertension is an important risk factor for subsequent cardiovascular events, including ischaemic and haemorrhagic stroke, myocardial infarction, and heart failure, as well as chronic kidney disease, cognitive decline, and premature death. Overall, the use of antihypertensive medications has led to a reduction in cardiovascular disease, morbidity rates, and mortality rates. However, the use of antihypertensive medications is also associated with harms, especially in older people, including the development of adverse drug reactions and drug-drug interactions, and can contribute to increasing medication-related burden. As such, discontinuation of antihypertensives may be considered appropriate in some older people. OBJECTIVES: To evaluate the effects of withdrawal of antihypertensive medications used for hypertension or primary prevention of cardiovascular disease in older adults. SEARCH METHODS: For this update, we searched the Cochrane Hypertension Specialised Register, CENTRAL (2022, Issue 9), Ovid MEDLINE, Ovid Embase, the WHO ICTRP, and ClinicalTrials.gov up to October 2022. We also conducted reference checking and citation searches, and contacted study authors to identify any additional studies when appropriate. There were no language restrictions on the searches. SELECTION CRITERIA: We included randomised controlled trials (RCTs) of withdrawal versus continuation of antihypertensive medications used for hypertension or primary prevention of cardiovascular disease in older adults (defined as 50 years of age and over). Eligible participants were living in the community, residential aged care facilities, or based in hospital settings. We included trials evaluating the complete withdrawal of all antihypertensive medication, as well as those focusing on a dose reduction of antihypertensive medication. DATA COLLECTION AND ANALYSIS: We compared the intervention of discontinuing or reducing the dose of antihypertensive medication to continuing antihypertensive medication using mean differences (MD) and 95% confidence intervals (95% CIs) for continuous variables, and Peto odds ratios (ORs) and 95% CI for binary variables. Our primary outcomes were mortality, myocardial infarction, and the development of adverse drug reactions or adverse drug withdrawal reactions. Secondary outcomes included hospitalisation, stroke, blood pressure (systolic and diastolic), falls, quality of life, and success in withdrawing from antihypertensives. Two review authors independently, and in duplicate, conducted all stages of study selection, data extraction, and quality assessment. MAIN RESULTS: = 47%; 5 studies, 768 participants; low certainty of evidence). No studies reported falls. The sources of bias included selective reporting (reporting bias), lack of blinding of outcome assessment (detection bias), incomplete outcome data (attrition bias), and lack of blinding of participants and personnel (performance bias). AUTHORS' CONCLUSIONS: The main conclusions from the 2020 review still apply. Discontinuing antihypertensives may result in little to no difference in mortality, hospitalisation, and stroke. The evidence is very uncertain about the effect of discontinuing antihypertensives on myocardial infarction and adverse drug reactions and adverse drug withdrawal reactions. Discontinuing antihypertensives may result in an increase in blood pressure. There was no information about the effect on falls. The evidence was of low to very low certainty, mainly due to small studies and low event rates. These limitations mean that we cannot draw any firm conclusions about the effect of deprescribing antihypertensives on these outcomes. Future research should focus on populations with the greatest uncertainty of the benefit:risk ratio for the use of antihypertensive medications, such as those with frailty, older age groups, and those taking polypharmacy, and measure clinically important outcomes such as adverse drug events, falls, and quality of life.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,012 | 0,052 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,004 |
| Bibliométrie | 0,006 | 0,006 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».