On-Treatment Blood Pressure and Cardiovascular Outcomes in Adults With Hypertension and Left Ventricular Hypertrophy

Prevention and treatment of hypertensive left ventricular hypertrophy

PURPOSE OF REVIEW

Left ventricular (LV) hypertrophy (LVH) is a well recognized target organ adaptation to longstanding uncontrolled hypertension and other cardiovascular risk factors. It is also a strong and independent predictor of many cardiovascular disorders.

RECENT FINDINGS

This focused review explores the current concepts in screening, diagnosis, prevention, and treatment of LVH in patients with hypertension. Currently, the primary screening and diagnostic tools for LVH are ECG and 2D echocardiography. Implementing machine learning in the diagnostic modalities can improve sensitivity in the detection of LVH. Lifestyle modifications, blood pressure control with antihypertensive therapy, and management of comorbidities aid in preventing and reversing LV remodeling.

SUMMARY

LVH is a common and often silent complication of hypertension. Prevention and reversal of LV remodeling are crucial for cardiovascular risk reduction in patients with hypertension.

Effect of intensive blood pressure lowering on left ventricular hypertrophy in patients with hypertension: a meta-analysis of randomized trials

BACKGROUND

Successful antihypertensive management can limit left ventricular hypertrophy (LVH) and improve the clinical prognosis. However, it remains unclear whether intensive blood pressure (BP) lowering has a greater effect on the occurrence and regression of LVH compared to standard BP lowering.

METHODS

We searched the electronic databases of PubMed, EMBASE and Web of Science from inception to 2 June 2023. Relevant and eligible studies were included. A random-effects model was used to estimate the pooled odds ratio (OR) and 95% confidence intervals (CI).

RESULT

Four RCTs including 20,747 patients met our inclusion criteria. The results demonstrated that intensive BP lowering was associated with a significantly lower rate of LVH (OR 0.85; 95%CI: 0.78-0.93; I2 48.6%) in patients with hypertension compared to standard BP lowering. Subgroup analysis revealed that the effect of intensive BP lowering on LVH was more pronounced in patients with high cardiovascular disease (CVD) risk factors (OR 0.82; 95%CI: 0.72-0.93; I2 57.9%). In addition, intensive BP lowering led to significant regression of LVH (OR 0.68; 95%CI: 0.52-0.88; I2 45.5%).

CONCLUSIONS

Our study suggests that intensive BP lowering should be instigated as soon as possible for optimal control of BP and to prevent regression of LVH, especially in patients with high risk of CVD. However, caution is warranted when treating hypertensive patients with LVH to systolic blood pressure (SBP) targets below 130 mm Hg.

99mTc-HFAPi imaging identifies early myocardial fibrosis in the hypertensive heart

BACKGROUND

This study aimed to explore whether 99mTc-radiolabeled fibroblast activation protein inhibitor (99mTc-HFAPi) imaging can detect early myocardial fibrosis in the hypertensive heart.

METHODS

In the experimental model, spontaneously hypertensive rats (SHRs) and age-matched Wistar Kyoto rats (WKYs) were randomly divided into three groups (8, 16, and 28 weeks). The animals underwent 99mTc-HFAPi imaging and echocardiography. Autoradiography and histological analyses were performed in the left ventricle. The mRNA and protein expression level of the fibroblast activation protein (FAP) and collagen I were measured using quantitative PCR and western blot. In the clinical investigation, a total of 106 patients with essential hypertension and 20 gender-matched healthy controls underwent 99mTc-HFAPi imaging and echocardiography.

RESULTS

In-vivo and in-vitro autographic images demonstrated diffusely enhanced 99mTc-HFAPi uptake in the SHR heart starting at week 8, before irreversible collagen deposition. The mRNA and protein levels of FAP in SHRs began to increase from week 8, whereas changes in collagen I levels were not detected until week 28. In the clinical investigation, even in hypertensive patients with normal diastolic indicators, normal left ventricular geometry, and normal global longitudinal strain (GLS), the prevalence of increased 99mTc-HFAPi uptake reached 34, 41, and 20%, respectively, indicating that early fibrogenesis precedes structural and functional myocardial abnormalities.

CONCLUSION

In hypertension, 99mTc-HFAPi imaging can detect early fibrotic process before myocardial functional and structural changes.

On-treatment blood pressure and cardiovascular mortality in adults with repaired coarctation of aorta

BACKGROUND

Although, hypertension is common in adults with repaired coarctation of aorta (COA), there are no data about on-treatment blood pressure (BP), and its relationship to outcomes in this population. The purpose of this study was to determine the relationship between on-treatment BP and cardiovascular mortality in adults with repaired COA.

METHODS

Retrospective study of adults with repaired COA on antihypertensive therapy (n = 461, age 39 ± 11). All BP measurements obtained within the first 3 years were averaged to determine the on-treatment BP, and the patients were stratified into BP quartiles using the cut-off points from the guidelines.

RESULTS

Being in the upper systolic BP (SBP) quartiles (SBP 120-129, 130-139 and ≥140) was associated with higher risk of cardiovascular mortality (HR 1.05, 95%CI 1.01-1.07, HR 1.12, 95%CI 1.04 to 1.15 and HR 1.39, 95%CI 1.13 to 1.59), as compared to being the lowest SBP quartile. We observed a 7% increase in the risk of cardiovascular mortality for every 5 mmHg increase in SBP, and a 4% increase in risk of cardiovascular mortality for every 5 mmHg increase in DBP.

CONCLUSIONS

Collectively, these data suggest that even s less severe form of hypertension SBP (120-129 mmHg) was not benign, and perhaps should be considered for antihypertensive therapy. A randomized controlled clinical trial is required to determine whether this group of patients (SBP 120 to 129 mmHg) would benefit from antihypertensive therapy, and to determine the optimal type and intensity of antihypertensive therapy in this population.

Intensive Blood Pressure Lowering in Patients With Malignant Left Ventricular Hypertrophy

BACKGROUND

Left ventricular hypertrophy (LVH) combined with elevations in cardiac biomarkers reflecting myocardial injury and neurohormonal stress (malignant LVH) is associated with a high risk for heart failure and death.

OBJECTIVES

The aim of this study was to determine the impact of intensive systolic blood pressure (SBP) control on the prevention of malignant LVH and its consequences.

METHODS

A total of 8,820 participants in SPRINT (Systolic Blood Pressure Intervention Trial) were classified into groups based on the presence or absence of LVH assessed by 12-lead ECG, and elevations in biomarker levels (high-sensitivity cardiac troponin T ≥14 ng/L or N-terminal pro-B-type natriuretic peptide ≥125 pg/mL) at baseline. The effects of intensive vs standard SBP lowering on rates of acute decompensated heart failure (ADHF) events and death and on the incidence and regression of malignant LVH were determined.

RESULTS

Randomization to intensive SBP lowering led to similar relative reductions in ADHF events and death across the combined LVH/biomarker groups (P for interaction = 0.68). The absolute risk reduction over 4 years in ADHF events and death was 4.4% (95% CI: -5.2% to 13.9%) among participants with baseline malignant LVH (n = 449) and 1.2% (95% CI: 0.0%-2.5%) for those without LVH and nonelevated biomarkers (n = 4,361). Intensive SBP lowering also reduced the incidence of malignant LVH over 2 years (2.5% vs 1.1%; OR: 0.44; 95% CI: 0.30-0.63).

CONCLUSIONS

Intensive SBP lowering prevented malignant LVH and may provide substantial absolute risk reduction in the composite of ADHF events and death among SPRINT participants with baseline malignant LVH.

Isolated Diastolic Hypertension and Risk of Cardiovascular Disease: Controversies in Hypertension - Pro Side of the Argument

Isolated diastolic hypertension (IDH), defined as diastolic blood pressure in the hypertensive range but systolic blood pressure not in the hypertensive range, is not uncommon (<20%) among adults with hypertension. IDH often manifests in concurrence with other cardiovascular risk factors. Individuals with IDH tend to have lower awareness of their hypertension compared with those with both systolic and diastolic hypertension. IDH appears to be a largely underrated risk factor for cardiovascular disease events, which may be explained by inconsistent association of IDH with cardiovascular disease events. The inconsistency suggests that IDH is heterogeneous. One size does not seem to fit all in the clinical management of individuals with IDH. Rather than treating IDH as a monolithic low-risk condition, detailed phenotyping in the context of individual comprehensive cardiovascular risk would seem to be most useful to assess an individual's expected net benefit from therapy. In this review, we highlight that the clinical relevance of IDH differs by individual clinical characteristics, and elucidate groups of individuals with IDH that should be wary of cardiovascular disease risks.

Phenotyping the hypertensive heart

Arterial hypertension remains the most frequent cardiovascular (CV) risk factor, and is responsible for a huge global burden of disease. Echocardiography is the first-line imaging method for the evaluation of cardiac damage in hypertensive patients and novel techniques, such as 2D and D speckle tracking and myocardial work, provide insight in subclinical left ventricular (LV) impairment that would not be possible to detect with conventional echocardiography. The structural, functional, and mechanical cardiac remodelling that are detected with imaging are intermediate stages in the genesis of CV events, and initiation or intensification of antihypertensive therapy in response to these findings may prevent or delay progressive remodelling and CV events. However, LV remodelling—especially LV hypertrophy—is not specific to hypertensive heart disease (HHD) and there are circumstances when other causes of hypertrophy such as athlete heart, aortic stenosis, or different cardiomyopathies need exclusion. Tissue characterization obtained by LV strain, cardiac magnetic resonance, or computed tomography might significantly help in the distinction of different LV phenotypes, as well as being sensitive to subclinical disease. Selective use of multimodality imaging may therefore improve the detection of HHD and guide treatment to avoid disease progression. The current review summarizes the advanced imaging tests that provide morphological and functional data about the hypertensive cardiac injury.

Relationship Between High Blood Pressure, Atrial Cardiopathy, and Mortality in the General Population

BACKGROUND

Atrial cardiopathy is associated with an increased risk of mortality. However, it is unclear whether this association is modified by hypertension, a risk factor for both atrial cardiopathy and mortality.

METHODS

This analysis included 8,023 participants from the Third National Health and Nutrition Examination Survey. Electrocardiographic deep terminal negativity of P-wave in V1 ≥100 µV defined atrial cardiopathy. National Death Index was used to identify the date and cause of death. Cox proportional hazard analysis was used to examine the association of atrial cardiopathy with mortality among participants stratified by hypertension status.

RESULTS

In total 2.7% of the participants had atrial cardiopathy. Over a median follow-up of 14 years, 2,922 all-cause deaths occurred, of which 1,058 were CVD. All-cause death rates were almost double among participants with concomitant atrial cardiopathy and elevated blood pressure (BP) (120-129/<80), stage 1 (130-139/80-89), or stage 2 hypertension (≥140/≥90) compared to their counterparts in the same hypertension stages without atrial cardiopathy (47.8, 61.3, and 80.2 vs. 23, 24.7, and 44.8 per 1,000 person-years (PY), respectively). In multivariable-adjusted models, a stronger association between atrial cardiopathy and all-cause mortality was observed in the presence compared to the absence of hypertension (HR (95% CI): 1.59 (1.25-2.01) vs. 0.67 (0.41-1.10), respectively, interaction P-value = 0.009). Similarly, an association between atrial cardiopathy and cardiovascular disease (CVD) mortality was observed in the presence compared to the absence of hypertension (HR (95% CI): 1.64 (1.08-2.47) vs. 0.63 (0.20-2.00), respectively, interaction P-value = 0.20).

CONCLUSIONS

Concomitant presence of high BP and atrial cardiopathy carries a higher risk of mortality, and the risk increases with higher BP levels.

Prediction and Risk Stratification of Cardiovascular Disease in Diabetic Kidney Disease Patients

Background

Diabetic kidney disease (DKD) patients are facing an extremely high risk of cardiovascular disease (CVD), which is a major cause of death for DKD patients. We aimed to build a deep learning model to predict CVD risk among DKD patients and perform risk stratifying, which could help them perform early intervention and improve personal health management.

Methods

A retrospective cohort study was conducted to assess the risk of the occurrence of composite cardiovascular disease, which includes coronary heart disease, cerebrovascular diseases, congestive heart failure, and peripheral artery disease, in DKD patients. A least absolute shrinkage and selection operator (LASSO) regression was used to perform the variable selection. A deep learning-based survival model called DeepSurv, based on a feed-forward neural network was developed to predict CVD risk among DKD patients. We compared the model performance with the conventional Cox proportional hazards (CPH) model and the Random survival forest (RSF) model using the concordance index (C-index), the area under the curve (AUC), and integrated Brier scores (IBS).

Results

We recruited 890 patients diagnosed with DKD in this retrospective study. During a median follow-up of 10.4 months, there are 289 patients who sustained a subsequent CVD. Seven variables, including age, high density lipoprotein (HDL), hemoglobin (Hb), systolic blood pressure (SBP), smoking status, 24 h urinary protein excretion, and total cholesterol (TC), chosen by LASSO regression were used to develop the predictive model. The DeepSurv model showed the best performance, achieved a C-index of 0.767(95% confidence intervals [CI]: 0.717–0.817), AUC of 0.780(95%CI: 0.721–0.839), and IBS of 0.067 in the validation set. Then we used the cut-off value determined by ROC (receiver operating characteristic) curve to divide the patients into different risk groups. Moreover, the DeepSurv model was also applied to develop an online calculation tool for patients to conduct risk monitoring.

Conclusion

A deep-learning-based predictive model using seven clinical variables can effectively predict CVD risk among DKD patients and perform risk stratification. An online calculator allows its easy implementation.