Degree of Joint Risk Factor Control and Incident Heart Failure in Hypertensive Patients

Influence of multiple risk factor control level on cardiovascular outcomes in hypertensive patients

AIMS

The relationship between the level of baseline risk factor control and cardiovascular outcomes in hypertensive patients with blood pressure interventions is not well understood. It is also unclear whether the level of baseline risk factor control is persuasively associated with cardiovascular outcomes in hypertensive patients with a blood pressure lowering strategy.

METHOD AND RESULTS

We performed an analysis of the Strategy of Blood Pressure Intervention in the Elderly Hypertensive Patients (STEP) trial. Participants without complete baseline risk factor data were excluded. The primary outcome was a composite of cardiovascular events and all-cause mortality. Cox proportional hazard models were used to calculate the hazard ratio (HR) and estimate the association between risk factor control levels (≥6, 5, 4, and ≤3) and cardiovascular outcomes. A total of 8337 participants were involved in the analysis, and the median follow-up period was 3.19 years. Each additional risk factor uncontrolled was associated with a 24% higher cardiovascular risk (HR 1.24, 95% CI 1.11-1.37). Compared with participants with optimal risk factor control, those with ≤3 factors control exhibited 95% higher cardiovascular risk (HR 1.95, 95% CI 1.37-2.77). The corresponding protective effects of multiple risk factor modification were not influenced by intensive or standard antihypertensive treatment (P for interaction = 0.71).

CONCLUSION

A stepwise association was observed between cardiovascular risk and the number of risk factor control in hypertensive patients. The more risk factors were modified, the less cardiovascular risk was observed, irrespective of different blood pressure lowering strategies. Comprehensive risk factor control strategies are warranted to reduce cardiovascular disease risk in hypertensive patients.

Revealing Local Structure of Angiotensin Receptor-Neprilysin Inhibitor (S086) Drug Cocrystal by Linear and Nonlinear Infrared Spectroscopies

Structurally knowing the active sites of a drug is important for understanding its therapeutic functions. S086 is a novel angiotensin receptor-neprilysin inhibitor that consists of the molecular moieties of EXP3174 (the active metabolite of the angiotensin receptor blocker losartan) and sacubitril (a neprilysin inhibitor prodrug) in a 1:1 molar ratio. There are two forms of cocrystals of S086, namely, ξ-crystal and α-crystal, which were formed both via intermolecular coordination bonding to calcium ions, with the aid of internal water. The binding state of multiple carboxyl anions (COO-) to Ca2+ of EXP3174 and sacubitril was examined in this study using infrared (IR) absorption spectroscopy, in which the asymmetric stretching (as) and symmetric stretching (ss) modes of the COO- groups were used as IR probes. Ultrafast two-dimensional (2D) IR spectroscopy was utilized for spectrally assigning the origin of multiple COO- groups by the presence or absence of interchromophore vibrational coupling. Key structural variation between the two crystal forms was found: in the unit cell of ξ-crystal, the ratio of "bridging" and "bidentate" types of COO- binding to Ca2+ for four EXP3174 molecules is 2:2, while the ratio is predicted to be 3:1 in the case of α-crystal. However, in both crystals, four sacubitril molecules are believed to similarly form a "trident" type of COO- binding to Ca2+. Our study demonstrates that linear and nonlinear IR spectroscopies can be used to characterize local crystal structures of drugs and reveal subtle difference between similar crystal structures.

Uric acid and risk of incident heart failure in individuals with cardiovascular disease

BACKGROUND AND AIMS

Uric acid has been positively associated with the risk of developing heart failure in the general population. Nevertheless, it remains unclear whether hyperuricemia is an independent risk factor for heart failure and further contributes to the risk of heart failure among the already at-risk cardiovascular disease (CVD) population. This study aimed to evaluate the association between uric acid and incident heart failure in individuals with established CVD.

METHODS AND RESULTS

Included were 18,438 adults with established CVD but free of heart failure at baseline, from the Kailuan Study. Incident heart failure cases were ascertained by medical records. Cause-specific Cox proportional hazards regression models were applied to estimate hazard ratios (HRs) and 95 % confidence intervals (CIs) of heart failure according to uric acid tertiles. Over a median follow-up of 6.1 years, we identified 1215 incident heart failure cases. Higher uric acid was associated with a higher risk of incident heart failure, with adjusted HR for the last vs. first tertile of 1.50 (95%CI:1.30-1.73). Higher uric acid concentrations were associated with an increased risk of heart failure in individuals with coronary heart disease, atrial fibrillation, and ischemic stroke, but not in those with hemorrhagic stroke. Moreover, the observed association between uric acid and heart failure risk was more pronounced in individuals diagnosed with heart failure with reduced ejection fraction subtype compared with heart failure with preserved ejection fraction.

CONCLUSIONS

In individuals with CVD, uric acid was positively associated with the risk of heart failure, in a dose-response manner.

Joint Modifiable Risk Factor Control and Incident Stroke in Hypertensive Patients

Recent guidelines have recognized several factors, including blood pressure (BP), body mass index (BMI), low-density lipoprotein cholesterol (LDL-C), hemoglobin A1c (HbA1c), smoking, and physical activity, as key contributors to stroke risk. However, the impact of simultaneous management of these risk factors on stroke susceptibility in individuals with hypertension remains ambiguous. This study involved 238 388 participants from the UK Biobank, followed up from their recruitment date until April 1, 2023. Cox proportional hazard models with hazard ratios (HRs) and 95% confidence intervals (CIs) were used to illustrate the correlation between the joint modifiable risk factor control and the stroke risk. As the degree of risk factor control increased, a gradual reduction in stroke risk was observed. Hypertensive patients who had the optimal risk factor control (≥5 risk factor controls) had a 14.6% lower stroke risk than those who controlled 2 or fewer (HR: 0.854; 95% CI: 804-0.908; p < 0.001). The excess risk of stroke linked to hypertension slowly diminished as the number of controlled risk factors increased. However, the risk was still 25.1% higher for hypertensive patients with optimal risk factor control as compared to the non-hypertensive population (HR: 1.251; 95% CI: 1.100-1.422; p < 0.001). The protective effect of joint risk factor control against the stroke risk due to hypertension was stronger in medicated hypertensive patients than in those not medicated. This finding leads to the conclusion that joint risk factor control combined with pharmacological treatment could potentially eliminate the excess risk of stroke associated with hypertension.

Relationship Between Control of Cardiovascular Risk Factors and Chronic Kidney Disease Progression, Cardiovascular Disease Events, and Mortality in Chinese Adults

BACKGROUND

Patients with chronic kidney disease (CKD) are at an elevated risk of cardiovascular disease (CVD) and premature mortality compared to the general population.

OBJECTIVES

This study aimed to investigate whether the excess risk of CVD events and death among patients with CKD could be reduced or eliminated through strict control of blood pressure (systolic blood pressure: <130 mm Hg), lipids (low-density lipoprotein cholesterol: <2.6 mmol/L), and glucose (fasting blood glucose: <6.1 mmol/L).

METHODS

The authors included 20,254 patients with CKD who were free of CVD or end-stage renal disease and matched them with 35,236 control individuals based on age (±2 years) and sex from the Kailuan study.

RESULTS

During a median follow-up period of 12.2 to 12.8 years, 3,875 deaths, 1,888 cases of stroke, 513 cases of myocardial infarction, and 4,825 cases of CKD progression were documented. Among patients with CKD, risk factor controls showed an association with a reduction in myocardial infarction, stroke, CKD progression, and all-cause mortality risk in a dose-dependent manner. Moreover, compared to the non-CKD control individuals, having all 3 risk factors within the target ranges could theoretically eliminate the excess risk of CVD and mortality associated with CKD. Among patients with CKD who had all 3 risk factors controlled, the HRs were 0.80 (95% CI: 0.56-1.14) for myocardial infarction, 0.93 (95% CI: 0.78-1.12) for stroke, and 1.10 (95% CI: 0.98-1.24) for all-cause mortality compared to the non-CKD control individuals.

CONCLUSIONS

Patients with CKD who had controlled blood pressure, lipids, and glucose showed no excess risk of death, myocardial infarction, or stroke compared to the general population.

Control for multiple risk factors and incident heart failure and mortality in patients with diabetes mellitus: Insights from the Kailuan cohort study

BACKGROUND

This study evaluated the relationship between controlling multiple risk factors and diabetes-related heart failure and all-cause mortality, and the extent to which the excess risk can be reduced.

METHODS

17,676 patients with diabetes and 69,493 matched non-diabetic control subjects were included in the Kailuan study, with a median follow-up of 11.19 years. The risk factor control was defined by the attainment of target values for systolic blood pressure, body mass index, low-density lipoprotein cholesterol, fasting blood glucose, high-sensitive C-reactive protein and smoking. Fine-Gray and Cox models were used to estimate associations between the degree of risk factor control and risk of heart failure and all-cause mortality respectively.

RESULTS

Among diabetes patients, there was a gradual reduction in the risk of outcomes as the degree of risk factor control increased. For each additional risk factor that was controlled, there was an associated 16 % decrease in heart failure risk and a 10 % decrease in all-cause mortality risk. Among diabetes patients with ≥5 well-controlled risk factors, the adjusted hazard ratio compared to controls for heart failure and all-cause mortality was 1.25 (95 %CI: 0.99-1.56) and 1.17(95 %CI: 1.05-1.31) respectively. The protective effect of comprehensive risk factor control on the risk of heart failure was more pronounced in men and those using antihypertensive medications.

CONCLUSIONS

Control for multiple risk factors is associated with reduced heart failure and all-cause mortality risks in a cumulative and sex-specific manner. However, despite optimization of risk factor control, diabetes patients still face increased risks compared to the general population.

Clustering of Cardiovascular Risk Factors and Heart Failure in Older Adults from the Brazilian Far North

Given the aging global population, identifying heart failure (HF) phenotypes has become crucial, as distinct disease characteristics can influence treatment and prognosis in older adults. This study aimed to analyze the association between clustering of cardiovascular risk factors and HF in older adults. A cross-sectional epidemiological study was conducted with 1322 older adults (55% women, mean age 70.4) seen in primary health care. Diagnosis of HF was performed by a cardiologist based on diagnostic tests and medical history. Cardiovascular risk factors included hypertension, diabetes, hypercholesterolemia, and smoking. Using logistic regression, potential associations were tested. Individual risk factor analysis showed that older adults with hypertension, diabetes, or hypercholesterolemia had up to 7.6 times higher odds to have HF. The cluster where older adults had only one risk factor instead of none increased the odds of HF by 53.0%. Additionally, the odds of older patients having HF ranged from 3.59 times for the two-risk factor cluster to 20.61 times for the simultaneous presence of all four factors. The analysis of clusters substantially increasing HF risk in older adults revealed the importance of individualizing subgroups with distinct HF pathophysiologies. The clinical significance of these clusters can be beneficial in guiding a more personalized therapeutic approach.

Degree of joint risk factor control and hazard of mortality in diabetes patients: a matched cohort study in UK Biobank

BACKGROUND

Diabetes patients are at higher risk for mortality than the general population; however, little is known about whether the excess mortality risk associated with diabetes could be mitigated or nullified via controlling for risk factors.

METHODS

We included 18,535 diabetes patients and 91,745 matched individuals without diabetes without baseline cancer or cardiovascular disease (CVD), followed up from 2006 to 2021. The main exposure was the number of optimized risk factors including glycated hemoglobin < 53 mmol/mole, systolic blood pressure < 140 mmHg and diastolic blood pressure < 90 mmHg, no albuminuria, non-current smoking and low-density lipoprotein cholesterol (LDL-C) < 2.5 mmol/L. We used Cox proportional hazards models to explore the association of the degree of risk factor control with all-cause mortality, cancer mortality, CVD mortality and other mortality.

RESULTS

Each additional risk factor control was associated with a 16, 10, 21 and 15% lower risk of all-cause mortality, cancer mortality, CVD mortality and other mortality, respectively. Optimal risk factors control (controlling 5 risk factors) was associated with a 50% (HR 0.50, 95% CI 0.41-0.62), 74% (HR 0.26, 95% CI 0.16-0.43) and 38% (HR 0.62, 95% CI 0.44-0.87) lower risk of all-cause mortality, CVD mortality and other mortality, respectively. Diabetes patients with 4, 3 and 5 or more controlled risk factors, respectively, showed no excess risk of all-cause mortality, cancer mortality and CVD mortality compared to matched non-diabetes patients.

CONCLUSIONS

The results from this study indicate that optimal risk factor control may eliminate diabetes-related excess risk of all-cause mortality, CVD mortality and other mortality.