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Record W4382653376 · doi:10.1093/eurjpc/zwad219

Orthostatic hypertension is an accessible, low-cost marker of cardiovascular risk

2023· letter· en· W4382653376 on OpenAlexaboutno aff
Leah Rethy

Bibliographic record

VenueEuropean Journal of Preventive Cardiology · 2023
Typeletter
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOrthostatic vital signsCardiologyInternal medicineIntensive care medicineBlood pressure

Abstract

fetched live from OpenAlex

This editorial refers to ‘Orthostatic hypertension and major adverse events: a systematic review and meta-analysis’, by Z. Pasdar et al., https://doi.org/10.1093/eurjpc/zwad158. Orthostatic hypertension (OHT) is understudied and underrecognized. In fact, OHT is not even defined or commented upon in international hypertension guidelines.1,2 While no specific blood pressure (BP) threshold is consistently used, studies examining OHT typically define OHT as an increase in systolic blood pressure (SBP) ≥ 20 mmHg and/or an increase in diastolic blood pressure (DBP) ≥ 10 mmHg when moving from a supine to upright position.3–5 The mechanisms underlying OHT are thought to include baroreceptor reflex abnormalities, exaggerated adrenergic response to changes in cardiac loading conditions (i.e. decreased preload in the setting of vascular pooling), and endothelial dysfunction.3 Given the possible mechanistic connections between OHT and cardiovascular disease (CVD), a better understanding of its clinical implications is important. In this issue, Pasdar et al.6 demonstrate a consistent association between OHT and key cardiovascular/cerebrovascular outcomes through a systematic review and meta-analysis of available data. Studies eligible for inclusion were observational (prospective and cross-sectional) and interventional studies, which assessed the association between systolic and/or diastolic OHT and at least one of the following outcomes: all-cause mortality, incident coronary heart disease (CHD), heart failure (HF), stroke, falls, or neurocognitive decline. Studies were limited to adults and were conducted in inpatient as well as outpatient settings—both community-dwelling adults and those living in nursing/residential facilities were included. For this analysis, 378 studies were identified with 20 ultimately included, comprising 61 669 participants (47% women) from 12 countries. Of the included studies, one was a post hoc analysis of the Systolic Blood Pressure Intervention Trial (SPRINT) and the remainder were observational. Participant characteristics varied, but most studies focused on older adults (80% of studies in adults >40 years), and only one excluded individuals with baseline hypertension. Study quality was assessed using the Newcastle–Ottawa Scale, and studies that the authors identified as relatively homogeneous—based on the study population, design, outcome, and context—were pooled for analysis. Analyses were considered adjusted if they at minimum adjusted for age (although all analyses adjusted for additional factors). Random-effects meta-analyses were conducted using the Cochrane Collaboration statistical software package. Pasdar et al.6 report an association between systolic OHT and all-cause mortality in both studies, which provided unadjusted (n = 5) and adjusted (n = 7) hazard ratios (HRs) [unadjusted 1.44 (1.01, 2.06), P = 0.05; adjusted 1.21 (1.05, 1.40), P = 0.007]. There were no associations between diastolic OHT and mortality or OHT and mortality when the definition of OHT included DBP (SBP ≥ 20 mmHg and/or DBP ≥ 10 mmHg). They also found significant associations between systolic OHT and CVD death [adjusted HR: 1.39 (1.05, 1.84), P = 0.02] and stroke/cerebrovascular disease [unadjusted OR: 1.94 (1.52, 2.48), P < 0.001]. There were no significant associations between OHT and incident HF or incident myocardial infarction, and in their review of studies unable to be pooled, they found no, or inconsistent, associations between OHT and a number of secondary outcomes (e.g. left ventricular hypertrophy, cognitive decline, and coronary artery disease). There are some important limitations to this meta-analysis. There was substantial heterogeneity in some of the primary analyses (i.e. unadjusted all-cause mortality and systolic OHT had a high statistical heterogeneity, I2 = 86%), limiting the interpretation of the findings. In addition, for some outcomes, the associations are presented unadjusted (e.g. systolic OHT and stroke), which likely overestimates the reported effect size. Unfortunately, young people were frequently excluded in the analysed studies, which limits the generalizability of these findings to this important population. And while this meta-analysis showed associations between systolic OHT and a number of important CVD outcomes, it remains unclear if treating OHT would reduce CVD risk or prevent disease. Nonetheless, this analysis provides compelling evidence for the consideration of OHT, specifically systolic OHT, as a marker of increased CVD/cerebrovascular risk. Indeed, there is evidence that individuals with OHT are more likely than those without OHT to have a number of other abnormal BP phenotypes associated with increased CVD risk, such as masked hypertension, extreme nocturnal dipping, increased BP variability, and increased morning BP surge.3 Of note, these BP phenotypes are defined using ambulatory BP monitoring, which can be inaccessible, costly, intrusive, and challenging to obtain repeatedly over time. On the other hand, orthostatic vital signs can be easily collected at routine clinic visits. Professional societies such as the European Society of Hypertension, the American Heart Association, and the American College of Cardiology ought to consider including a definition of OHT in their hypertension guidelines to help guide future studies in this area. Further studies are needed to refine the optimal thresholds for OHT, to clarify how to implement in-clinic measurement of orthostatic vital signs, and to determine if OHT can identify individuals who would benefit from further testing and/or interventions including ambulatory BP monitoring. Given the high, and rising, mortality rates attributable to hypertension, innovative and low-cost interventions that can identify and treat at-risk individuals are of critical importance.7

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.258
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2023
Admission routes1
Has abstractyes

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