Evidence map›Paper›PMID 42223692›Full record

Observational studyEuropean journal of clinical pharmacology2026

Influence of antihypertensive drug classes on circadian blood pressure patterns and left ventricular remodeling - a retrospective study.

Qin Ma, Shaoping Wang, Hua Chen

Abstract readObservational Study
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In one paragraph

Observational study in European journal of clinical pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Qin MaDepartment of Cardiology, Center for Coronary Artery Disease, Beijing Anzhen Hospital Capital Medical University, Beijing, 100029, China.
Shaoping WangDepartment of Cardiology, Center for Coronary Artery Disease, Beijing Anzhen Hospital Capital Medical University, Beijing, 100029, China.
Hua ChenDepartment of Cardiology, Center for Coronary Artery Disease, Beijing Anzhen Hospital Capital Medical University, Beijing, 100029, China. bjazyy2008@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCircadian blood pressure (BP) abnormalities, including nondipping and reverse-dipping patterns, are increasingly recognized as major determinants of cardiovascular target-organ damage, independent of clinic BP. Antihypertensive drug classes and dosing time may differentially influence nocturnal BP control and left ventricular (LV) remodeling. However, real-world data integrating these factors remain limited, particularly in Chinesepopulations.

methodsThis retrospective, observational study included 500 adult patients with essential hypertension evaluated at a tertiary-care center between 2020 and 2024. All patients underwent valid 24-hour ambulatory BP monitoring (ABPM) and transthoracic echocardiography performed within six months of ABPM. Antihypertensive therapy was classified by drug class and dosing time (morning-only vs. evening/bedtime dosing of ≥ 1 agent). Circadian BP phenotypes were defined based on nocturnal systolic BP decline. LV mass index (LVMI) and LV geometric patterns were assessed according to standard echocardiographic criteria. Multivariable regression analyses were performed to evaluate associations between antihypertensive regimen, circadian BP indices, and LV remodeling.

resultsNondipping or reverse-dipping BP patterns were present in 48.6% of patients. RAAS-blocker-based regimens and bedtime dosing were associated with significantly lower nighttime BP, greater nocturnal BP decline, reduced morning BP surge, and a higher prevalence of preserved dipping compared with non-RAAS regimens and morning-only dosing (all p < 0.01). LV hypertrophy (LVH) was observed in 27.2% of patients and was significantly more prevalent among nondippers and reverse dippers. LVMI and relative wall thickness increased progressively with worsening circadian BP phenotype (p < 0.001). In multivariable models, nondipping (OR 1.89) and reverse dipping (OR 2.64), higher nighttime systolic BP, and nocturnal hypertension were independently associated with LVH. RAAS-based therapy and bedtime dosing were associated with lower odds of LVH, with partial attenuation after adjustment for nocturnal BP indices.

conclusionsIn treated hypertension, circadian BP abnormalities remain common and are strongly associated with adverse LV remodeling. Antihypertensive drug class and dosing time are important determinants of nocturnal BP control and cardiac structural changes, highlighting the clinical value of ABPM-guided, individualized treatment strategies.

Indexed as

Antihypertensive AgentsBlood PressureCircadian RhythmEssential HypertensionVentricular RemodelingAgedBlood Pressure Monitoring, AmbulatoryEchocardiographyFemaleHumansHypertensionHypertrophy, Left VentricularMaleMiddle AgedRetrospective StudiesAntihypertensive AgentsAntihypertensive drugCircadian blood pressureLeft ventricular remodellingNocturnal hypertension

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.