- 1Department of Advanced Biomedical Sciences, Federico II University of Naples, Naples, Italy
- 2Department of Neurosciences, Federico II University of Naples, Naples, Italy
Background: Arterial hypertension, especially when coexisting with other cardiovascular risk factors, could determine an imbalance between myocardial energetic demand and altered efficiency, leading to an early left ventricular (LV) systolic dysfunction, even in terms of echo-derived mechano-energetic efficiency indexed for myocardial mass (MEEi). We aim to analyse an improvement in LV MEEi, if any, in a population of hypertensive patients with a long-term follow-up and to identify clinical, metabolic and therapeutic determinants of LV MEEi amelioration.
Materials and methods: In total, 7,052 hypertensive patients, followed-up for 5.3 ± 4.5 years, enrolled in the Campania Salute Network, underwent echocardiographic and clinical evaluation. LV MEEi was obtained as the ratio between stroke volume and heart rate and normalized per grams of LV mass and ΔMEEi was calculated as difference between follow-up and baseline MEEi. Patients in the highest ΔMEEi quartile (≥0.0454 mL/s/g) (group 1) were compared to the merged first, second and third quartiles (<0.0454 mL/s/g) (group 2). METS-IR (Metabolic Score for Insulin Resistance), an established index of insulin sensitivity, was also derived.
Results: Patients with MEEi improvement experienced a lower rate of major cardiovascular events (p = 0.02). After excluding patients experiencing cardiovascular events, patients in group 1 were younger (p < 0.0001), less often diabetic (p = 0.001) and obese (p = 0.035). Group 1 experienced more frequently LV mass index reduction, lower occurrence of LV ejection fraction reduction, and had a better metabolic control in terms of mean METS-IR during the follow-up (all p < 0.0001). Beta-blockers were more often used in group 1 (p < 0.0001) than group 2. A logistic regression analysis showed that younger age, lower mean METS-IR values, more frequent LV mass index reduction and therapy with beta-blockers were significantly associated with LV MEEi improvement, independently of presence of diabetes and obesity.
Conclusion: Metabolic control and therapy with beta-blockers could act in a synergic way, determining an improvement in LV MEEi in hypertensive patients over time, possibly confining cardiac damage and hampering progression toward heart failure.
Introduction
Arterial hypertension, in particular when associated with additional cardiovascular risk factors, induces an imbalance in cardiac metabolism by increasing myocardial energetic demand and impairing energetic efficiency. This condition represents an early cardiac damage, which increases the risk of progression toward heart failure (1–4).
Ultrasound assessment represents an accurate and wide available methodology to identify this early left ventricular (LV) functional impairment in the hypertensive setting (5). Indeed, echo-derived mechano-energetic efficiency indexed for myocardial mass (MEEi), obtained as the ratio between stroke work and oxygen consumption indexed for LV mass, is an easily applicable and sensitive parameter for the evaluation of LV performance. MEEi was demonstrated to be a strong predictor of cardiovascular events and heart failure onset in multiple settings, including arterial hypertension (6–9). In fact, low MEEi values were recently demonstrated to be able to identify patients more prone to develop LV systolic dysfunction, in terms of LV ejection fraction (LVEF) reduction, in a group of hypertensive patients with optimal blood pressure (BP) control during a long-term follow up (10).
On the other hand, it is still unclear whether the control of risk factors by modification of life habits and diet and effective therapeutic strategies can improve an impaired MEEi in hypertensive patients. Indeed, it has been demonstrated that both effective antihypertensive therapy and weight loss could induce a positive remodeling of the left ventricle over time, with a regression of LV mass and amelioration of LV systolic function (11–13). In addition, evidence showed that reduction of body weight and insulin resistance were associated with a reverse of LV morphological and functional abnormalities (14). Metabolic Score for Insulin Resistance (METS-IR) is an established index of insulin resistance and metabolic control (15), but an association between this index and LV performance in terms of MEEi was never reported.
Thus, we assessed the time-course of MEEi in a population of hypertensive patients with a long-term follow up, to test the possibility to improve an impaired LV MEEi and to identify clinical, metabolic, even in terms of METS-IR, and pharmacological determinants of such an increase in MEEi, if any, and its relevance on cardiovascular prognosis.
Materials and methods
Study population
Hypertensive patients, enrolled in the Campania Salute Network, were evaluated during a long-term follow-up. The Campania Salute Network was previously described in detail and was approved by the Federico II University Hospital Ethic Committee (ClinicalTrials.gov Identifier: NCT02211365) (16). All patients gave signed written informed consent (17).
Inclusion criteria were: (1) age more than 18 years; (2) available follow-up with echo assessment ≥ 12 months; (3) no history of prevalent cardiovascular disease, including myocardial infarction, angina pectoris, coronary or carotid revascularization procedures, stroke, transitory ischemic attack, congestive heart failure, clinically relevant heart valvular disease (more than mild valve regurgitations and any stenosis), chronic kidney disease more than stage 3; (4)available baseline echocardiographic and carotid ultrasound assessment; 4) LVEF > 50% at baseline echocardiographic exam; (5) ability to give informed consent.
The rate of major cardiovascular events, that happened during the follow-up period, was related to the first occurrence. Major cardiovascular events developed during the follow-up included myocardial infarction, coronary or carotid revascularization procedures, stroke and transitory ischemic attack.
Diagnosis of arterial hypertension was established on the basis of current ESC/ESH guidelines (18). Heart rate, systolic, and diastolic BP were collected in sitting position, after 5 mins of rest, using a semiautomatic oscillometric sphygmomanometer with cuffs of appropriate size. Measurements were repeated in supine position after the echocardiographic exam. Optimal office BP control was defined according to ESC/ESH guidelines for management of arterial hypertension (18). Pulse pressure was measured as the difference between systolic BP and diastolic BP (19).
Glomerular filtration rate was measured with the chronic kidney disease epidemiology collaboration (CKD-EPI) equation (20).
Diabetes was established for values of fasting plasma glucose > 126 mg/dl or specific antidiabetic treatment (21). Obesity was identified for values of body mass index ≥ 30 kg/m2. Weight loss was described as a reduction in body weight ≥ 5% at the final available visit, compared to initial value, as previously reported (11).
Metabolic evaluation was assessed by an insulin resistance surrogate, METS-IR, computed as follows: METS-IR = {ln [2 × Fasting plasma glucose (mg/dL) + Triglycerides (mg/dL)] × Body Mass Index (kg/m2)/ln [HDL-Cholesterol (mg/dL)]} (15).
Ultrasound assessment
All echocardiographic exams were performed at the Hypertension Outpatient Clinic of the Federico II University in Naples, using a standardized protocol. All measurements were evaluated according to the latest consolidated convention (22, 23).
Left ventricular mass was estimated from a necropsy-validated formula and normalized for height in meters to the power of 2.7 (LV mass index) (24, 25). LV hypertrophy was defined for values of LV mass index > 47 g/m2.7 in women and >50 g/m2.7 in men (26, 27). LV mass index reduction was defined for a decrease of at least of 5 g/m2.7 from baseline at the end of the follow up, as previously reported (12).
Left ventricular ejection fraction and stroke volume were computed as the difference between LV end- diastolic and end-systolic volume by the z-derived method and indexed for height to the power of 2.04 (28, 29). LVEF was considered reduced for values less than 50% at final echo or for a LVEF reduction of at least 10 percentage points compared to baseline (10, 30, 31).
Left ventricular myocardial mechano-energetic efficiency was computed as the ratio between stroke volume and heart rate and normalized per grams of LV mass, and expressed in mL/s/g (MEEi), as previously reported (32). Delta MEEi was calculated as the difference between follow-up and baseline MEEi values.
Left atrial volume was estimated according to previously validated formula and indexed for height powered to 2 (33).
Carotid ultrasound was assessed in supine position. The intima–media thickness was measured as the distance between lumen-intima and media-adventitia interface in up to 2 arterial walls, on both near and far walls of distal common carotid (1 cm), bifurcation and proximal internal carotid artery of both sides and carotid plaques were defined for intima–media thickness values > 1.5 mm (34).
Statistical analysis
Categorical variables were expressed as number (percentage) and continuous variables as mean ± standard deviation or median [interquartile range] when not normally distributed. Chi-square test and Student’s t-test were used to test differences in dichotomous/categorical and continuous covariates, respectively.
Delta MEEi quartiles were computed: first quartile for delta MEEi ≤ −0.0354 mL/s/g, second quartile ranging from −0.0354 to ≤0.0028 mL/s/g, third quartile from 0.0028 to <0.0454 mL/s/g, fourth (highest) quartile ≥ 0.0454 mL/s/g. The study population was divided into two groups: patients who presented an improvement in MEEi as highest delta MEEI quartile (group 1), were compared to patients of the merged first, second and third delta MEEi quartiles (group 2). Univariate logistic regression analyses were assessed to verify important variables for delta MEEi improvement.
A logistic regression model was built including the significant variables derived from univariate correlations in order to identify possible factors associated with LV MEEi improvement in terms of highest delta MEEi quartile. Calculation of tolerance and variance inflation was performed by linear modeling and collinearity was considered acceptable for variance inflation factor less than 3.
In all analyses a p-value < 0.05 was considered statistically significant. All statistical analyses were performed using SPSS Statistics 26 software (IBM Corp, Armonk, NY, United States).
Results
Patients were followed-up for 5.3 ± 4.5 years and during this period major cardiovascular events occurred in 165 patients with a prevalence of 1.5% among those showing an improvement of MEEi which was significantly lower when compared with the one of patients who did not experience any increase or even a decrease in MEEi (2.5%, p = 0.02).
After excluding patients experiencing major cardiovascular events during the follow-up, the study population included 6,887 hypertensive patients (Figure 1), 58% males, 10% affected by diabetes mellitus and 26% obese.
Figure 1. Flow chart describing the selection of hypertensive patients from the “Campania Salute Network” for the present study. LVEF, left ventricular ejection fraction.
The baseline characteristics of the two study groups, divided according to the values of delta MEEi as reported in the “Materials and methods” section, are summarized in Table 1. Patients in the highest delta MEEi quartile (group 1) were younger, less often diabetic and obese, had higher baseline values of systolic and diastolic BP and heart rate than patients of the merged first, second and third delta MEEi quartiles (group 2). At baseline, METS-IR was significantly lower in patients of group 1 compared to group 2. Those patients had also baseline higher echocardiographic-derived relative wall thickness, reduced stroke volume and LV EF, and lower values of left atrial volume index.
Despite patients of group 1 and group 2 reached comparable BP values during the follow-up, patients in group 1 experienced a larger reduction in BP values since they had higher BP values at baseline; indeed, patients of group 1 presented a higher delta reduction in both systolic BP and diastolic BP from baseline to the end of the follow-up than group 2, [median (interquartile range)] [delta systolic BP = −8 (−22 to 5) mmHg vs. −5 (−20 to 8) mmHg, p < 0.0001; delta diastolic BP = −10 (−18 to 0) mmHg vs. −5 (−15 to 2) mmHg, p < 0.0001]. In addition, patients in group 1 had a higher prevalence of LV mass index reduction and a better metabolic control in terms of METS-IR, lower mean serum triglycerides, mean fasting glucose plasma levels and higher mean HDL cholesterol levels, while lower BMI (body mass index) values during the follow-up (Table 2). Furthermore, at the end of the follow-up they showed higher values of LVEF and stroke volume index in comparison to group 2 on account of a statistically significant lower rate in the occurrence of a reduction in LVEF, as defined in the “Materials and methods” section, in comparison to patients of group 2 (0.3 vs 1.6%, p < 0.0001).
Regarding treatment, beta blockers were more often used in group 1, whereas antiplatelet therapy and dihydropyridine Calcium channel blockers were more often used in group 2.
Univariate logistic regressions showed that age, diabetes mellitus, obesity, mean fasting plasma glucose, mean triglycerides, mean HDL cholesterol levels during the follow up, mean METS-IR, LV mass index reduction, therapy with dihydropyridine Calcium channel blockers, antiplatelet therapy and therapy with beta-blockers present in more than 50% of the follow-up were significantly related to delta LV MEEi improvement (Table 3).
A logistic regression analysis (Table 4) showed that younger age, better metabolic control in terms of METS-IR, more frequent LV mass index reduction and therapy with beta blockers were significantly associated with LV MEEi improvement, independently of the presence of diabetes and obesity, whereas therapy with dihydropyridine Calcium channel blockers was negatively associated with MEEi improvement (Figure 2).
Table 4. Logistic regression analysis performed for describing determinants of delta MEEi improvement.
Figure 2. Odds ratio and 95% confidence interval of clinical and therapeutic determinants of delta MEEi improvement. MEEi, indexed mechano-energetic efficiency.
Discussion
The current study demonstrated that: (1) an improvement in MEEi in hypertensive patients is achievable; (2) during the follow up the largest MEEi improvement was associated with a significantly lower prevalence of major cardiovascular events; (3) after excluding patients who experienced major cardiovascular events, those with the largest improvement in MEEi were the ones who had the lower rate of reduction in LVEF during the follow-up, (4) better metabolic control, in terms of METS-IR, and higher rate of LV mass reduction were directly associated to LV MEEi improvement during the follow-up, independently of the presence of diabetes and obesity, (5) among treatments, therapy with beta-blockers was significantly and independently associated with LV MEEi improvement.
The possibility to identify the determinants of an amelioration in LV mechanic-efficiency could be of relevant interest, since the recognition of the factors and therapies contributing to preserve LV performance could avoid the progression of cardiac impairment demonstrated to be associated with arterial hypertension, especially when in combination with additional cardiovascular risk factors (2, 35). The combined noxious impact of these cardiovascular risk factors could determine endothelial dysfunction, LV remodeling and hypertrophy, and could alter cardiac metabolism (4, 36–38). This condition could result in an impaired myocardial efficacy of energy utilization and LV MEEi reduction. LV MEEi, a sensitive and easily echo-derived parameter, computed as the ratio between stroke work and oxygen consumption indexed for LV mass, is in fact expression of alterations, possibly present at the same time, involving LV function, morphology and metabolism (32). The latter is related to increased oxygen consumption possibly linked to augmented heart rate, increased LV mass and insulin resistance leading to enhanced fatty acid oxidation (39–41).
Low MEEi values, indeed, were showed to be a reliable predictor of cardiovascular events and heart failure and values below 0.29 of this index were demonstrated to be associated with systolic dysfunction and LVEF reduction (10).
On this basis, in the present study we investigated the possibility of an improvement of LV MEEi in terms of delta MEEi from baseline to the end of a long-term follow-up in a population of hypertensive patients, its clinical relevance and its determinants.
We confirmed that an improvement in MEEi is possible and that it is clinically relevant since patients in the highest delta MEEi quartile experienced a lower rate of cardiovascular events during the follow-up.
Furthermore, in order to exclude the confounding factor related to a reduction of MEEi in the occurrence of major cardiovascular events during the follow-up, we excluded those patients from subsequent analysis.
Left ventricular MEEi improvement of the highest delta quartile (≥0.0454 mL/s/g) means that patients possibly jumped from the lowest quartile of MEEi at baseline to the third or to the highest quartile at the end of the follow-up. In the present study, we observed that patients who experienced an improvement of LV MEEi had at baseline higher BP and heart rate values, they were younger, less often diabetic and obese and had better lipidic and glucose serum profile together with better renal function. At baseline they seem to have a slightly but significant impairment in both LV morphology (higher relative wall thickness) and function (lower LV EF and stroke volume). Mean blood pressure and heart rate values were comparable during the follow-up, meaning that patients in the highest delta MEEi quartile achieved a more pronounced decrease in BP values and heart rate, since they had significantly higher values at baseline. In addition, during the follow-up they maintained a better metabolic control with lower values of serum fasting plasma glucose, triglycerides, lower body weight and BMI, and higher serum HDL-cholesterol. This also resulted in lower values of METS-IR. The latter was demonstrated to be an established index for the evaluation of insulin sensitivity and of cardiovascular risk, containing in its computation information about fasting plasma glucose, serum triglycerides, HDL-cholesterol levels and BMI (42). Furthermore, the improved metabolic control also had an important impact on LV morphology and function. Indeed, patients who experienced an improvement in MEEi had also a higher prevalence of LV mass index reduction and an improvement in both LV EF and stroke volume. The incidence of LVEF reduction, defined as a drop more than 50% at final echo or of at least 10 percentage points compared to baseline values, was significantly lower in patients of group 1 than group 2, thus suggesting that patients who presented an improvement in delta MEEi developed a reduced incidence and progression toward heart failure during the follow-up.
A logistic regression analysis provided additional information. After adjusting for age, mean METS-IR, prevalence of diabetes and obesity, LV mass index reduction, use of beta-blockers, dihydropyridine Calcium channel blockers and antiplatelet therapy, the improvement in MEEi from baseline to the end of the follow-up was significantly associated with younger age, better metabolic control in terms of METS-IR, more frequent LV mass index reduction and therapy with beta blockers, independently of the presence of diabetes and obesity, whereas therapy with dihydropyridine Calcium channel blockers was negatively associated with MEEi improvement.
These findings corroborate previous observations demonstrating the beneficial impact of the reduction of both body weight and BMI and insulin resistance on LV morphology and function and extend them in a population of hypertensive patients with several additional cardiovascular risk factors and a long-term follow-up (11, 12). Indeed, in this setting the metabolic control could achieve an amelioration in LV systolic performance, measured by LV MEEi, early impaired even when LVEF still ranges within normal values. Furthermore, we demonstrated a significant correlation between METS-IR and LV MEEi; the association between METS-IR and improved MEEi remained significant, independently of the presence of obesity and diabetes, thus demonstrating the importance of the impact of insulin sensitivity on myocardial dynamics and morphology even at early stages of metabolic alterations.
Among therapeutic approaches only beta-blockers resulted to have a beneficial effect on LV MEEi improvement. Current guidelines for the management of arterial hypertension suggests the use of combination therapies based on renin-angiotensin-aldosterone system inhibitors, diuretics and dihydropyridine calcium-channel blockers for most of hypertensive patients (18). Nonetheless, the results of the present study suggest that a wider use of beta-blockers could improve LV efficiency and reduce the incidence of cardiovascular complications. In addition, previous evidence indicated that beta-blockers, especially when used in combination with diuretics, could impact negatively on metabolic state, favoring diabetes onset in predisposed individuals (43, 44). The present study suggests, instead, that this class of drugs could have, in a real-life registry, a beneficial effect on cardiac metabolism, even in patients presenting an initial metabolic imbalance. In fact, beta-blockers may act both reducing heart rate and decreasing oxidative metabolism, thus leading to an improvement in cardiac efficiency (45).
Furthermore, it is possible to speculate that the negative association of dihydropyridine calcium channel blockers with the highest delta LV MEEi quartile may be related to the increase in sympathetic discharge that these drugs induce through a baroreceptor reflex, which leads to an increase in heart rate, negatively impacting on MEEi (46).
Thus, both metabolic control and beta-blockers, acting in a synergic way, had a favorable effect on LV function and morphology inducing an improvement in cardiovascular prognosis detectable by the increase in LV MEEi.
Limitations
Additional sensitive parameters for the evaluation of LV systolic function, such as global longitudinal strain and strain derived myocardial work components, are missing in the present study. Nevertheless, MEEi is a sensitive and well-established parameter of LV systolic performance and has the advantage of being derived from standard echocardiographic assessment without the need of additional software. Moreover, information about which type of antidiabetic therapy was administered in the study population is missing, together with info about serum glycated hemoglobin values. Nonetheless, in the present study we demonstrated that metabolic control in terms of METS-IR was a significant determinant of LV MEEi improvement independently of the presence of diabetes. Furthermore, the Campania Salute Network is an observational registry, and it could possibly be influenced by selection bias. However, all patients underwent the same visits and echocardiographic evaluations and followed the same standardized protocol.
Conclusion
In a population of hypertensive patients with several cardiovascular risk factors, metabolic control and therapy with beta-blockers were significantly associated with an improvement in LV systolic performance in terms of LV MEEi during a long-term follow-up, thus corroborating the usefulness of this parameter, easily obtainable from standard echocardiographic assessment. LV MEEi improvement was independent of the presence of diabetes and obesity and clinically relevant, as demonstrated by a lower prevalence of major cardiovascular events and occurrence of LVEF reduction. All together our results demonstrate the importance of early obtaining and maintaining adequate metabolic profile and insulin sensitivity in hypertensive patients in order to possibly limit myocardial damage and progression toward heart failure.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving human participants were reviewed and approved by Federico II University Hospital Ethical Committee. The patients/participants provided their written informed consent to participate in this study.
Author contributions
ML wrote the manuscript. VT helped in writing the manuscript and data collection. MM and CMa collect the clinical and echo data and performed the statistical analysis. GE, SE, and CMo critically revised the manuscript. RI and BT conceived the idea and critically revised the manuscript. All authors give final approval to the submission of the manuscript.
Funding
This study was supported by grant 00014Prin_2017 ID43237.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Abbreviations
BMI, body mass index; BP, blood pressure; CKD-EPI, chronic kidney disease epidemiology collaboration; LV, left ventricular; LVEF, left ventricular ejection fraction; MEEi, mechano-energetic efficiency indexed for myocardial mass; METS-IR, Metabolic Score for insulin resistance.
References
1. Lembo M, Sicari R, Esposito R, Rigo F, Cortigiani L, Lo Iudice F, et al. Association between elevated pulse pressure and high resting coronary blood flow velocity in patients with angiographically normal epicardial coronary arteries. J Am Heart Assoc. (2017) 6:e005710. doi: 10.1161/JAHA.117.005710
2. Reinikainen J, Laatikainen T, Karvanen J, Tolonen H. Lifetime cumulative risk factors predict cardiovascular disease mortality in a 50-year follow-up study in Finland. Int J Epidemiol. (2015) 44:108–16. doi: 10.1093/ije/dyu235
3. Authors/Task Force Members, McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, et al. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: developed by the task force for the diagnosis and treatment of acute and chronic heart failure of the European society of cardiology (ESC). With the special contribution of the heart failure association (HFA) of the ESC. Eur J Heart Fail. (2022) 24:4–131.
4. Cameli M, Lembo M, Sciaccaluga C, Bandera F, Ciccone MM, D’Andrea A, et al. Identification of cardiac organ damage in arterial hypertension: insights by echocardiography for a comprehensive assessment. J Hypertens. (2020) 38:588–98. doi: 10.1097/HJH.0000000000002323
5. Lembo M, Manzi MV, Mancusi C, Morisco C, Rao MAE, Cuocolo A, et al. Advanced imaging tools for evaluating cardiac morphological and functional impairment in hypertensive disease. J Hypertens. (2021) 40:4–14. doi: 10.1097/HJH.0000000000002967
6. Bahlmann E, Einarsen E, Cramariuc D, Midtbo H, Mancusi C, Rossebo A, et al. Low myocardial energetic efficiency is associated with increased mortality in aortic stenosis. Open Heart. (2021) 8:e001720. doi: 10.1136/openhrt-2021-001720
7. Cioffi G, Mancusi C, de Simone G, Ognibeni F, Orsolini G, Dalbeni A, et al. Predictors and prognostic role of low myocardial mechano-energetic efficiency in chronic inflammatory arthritis. J Hypertens. (2021) 39:53–61. doi: 10.1097/HJH.0000000000002587
8. Losi MA, Izzo R, Mancusi C, Wang W, Roman MJ, Lee ET, et al. Depressed myocardial energetic efficiency increases risk of incident heart failure: the strong heart study. J Clin Med. (2019) 8:1044. doi: 10.3390/jcm8071044
9. Mancusi C, Midtbo H, De Luca N, Halland H, de Simone G, Gerdts E. Association of myocardial energetic efficiency with circumferential and longitudinal left ventricular myocardial function in subjects with increased body mass index (the FATCOR study). J Clin Med. (2021) 10:1581. doi: 10.3390/jcm10081581
10. Manzi MV, Mancusi C, Lembo M, Esposito G, Rao MAE, de Simone G, et al. Low mechano-energetic efficiency is associated with future left ventricular systolic dysfunction in hypertensives. ESC Heart Fail. (2022) 9:2291–2300. doi: 10.1002/ehf2.13908
11. Lonnebakken MT, Mancusi C, Losi MA, Gerdts E, Izzo R, Manzi MV, et al. Weight loss facilitates reduction of left ventricular mass in obese hypertensive patients: the Campania salute network. Nutr Metab Cardiovasc Dis. (2019) 29:185–90. doi: 10.1016/j.numecd.2018.10.010
12. Lonnebakken MT, Izzo R, Mancusi C, Gerdts E, Losi MA, Canciello G, et al. Left ventricular hypertrophy regression during antihypertensive treatment in an outpatient clinic (the Campania salute network). J Am Heart Assoc. (2017) 6:e004152. doi: 10.1161/JAHA.116.004152
13. Aggarwal M, Bozkurt B, Panjrath G, Aggarwal B, Ostfeld RJ, Barnard ND, et al. Lifestyle modifications for preventing and treating heart failure. J Am Coll Cardiol. (2018) 72:2391–405. doi: 10.1016/j.jacc.2018.08.2160
14. Kosmala W, O’Moore-Sullivan T, Plaksej R, Przewlocka-Kosmala M, Marwick TH. Improvement of left ventricular function by lifestyle intervention in obesity: contributions of weight loss and reduced insulin resistance. Diabetologia. (2009) 52:2306–16. doi: 10.1007/s00125-009-1507-4
15. Bello-Chavolla OY, Almeda-Valdes P, Gomez-Velasco D, Viveros-Ruiz T, Cruz-Bautista I, Romo-Romo A, et al. METS-IR, a novel score to evaluate insulin sensitivity, is predictive of visceral adiposity and incident type 2 diabetes. Eur J Endocrinol. (2018) 178:533–44. doi: 10.1530/EJE-17-0883
16. Stabile E, Izzo R, Rozza F, Losi MA, De Luca N, Trimarco B. Hypertension survey in italy: novel findings from the Campania salute network. High Blood Press Cardiovasc Prev. (2017) 24:363–70. doi: 10.1007/s40292-017-0220-5
17. Mancusi C, Manzi MV, de Simone G, Morisco C, Lembo M, Pilato E, et al. Carotid atherosclerosis predicts blood pressure control in patients with hypertension: the Campania salute network registry. J Am Heart Assoc. (2022) 11:e022345. doi: 10.1161/JAHA.121.022345
18. Williams B, Mancia G, Spiering W, Agabiti Rosei E, Azizi M, Burnier M, et al. 2018 ESC/ESH guidelines for the management of arterial hypertension. Eur Heart J. (2018) 39:3021–104.
19. Lembo M, Esposito R, Lo Iudice F, Santoro C, Izzo R, De Luca N, et al. Impact of pulse pressure on left ventricular global longitudinal strain in normotensive and newly diagnosed, untreated hypertensive patients. J Hypertens. (2016) 34:1201–7. doi: 10.1097/HJH.0000000000000906
20. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF III, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. (2009) 150:604–12. doi: 10.7326/0003-4819-150-9-200905050-00006
21. American Diabetes Association. 2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2019. Diabetes Care. (2019) 42(Suppl. 1):S13–28. doi: 10.2337/dc19-S002
22. Lang RM, Badano LP, Mor-Avi V, Afilalo J, Armstrong A, Ernande L, et al. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American society of echocardiography and the European association of cardiovascular imaging. J Am Soc Echocardiogr. (2015) 28:1–39.e14. doi: 10.1016/j.echo.2014.10.003
23. Petitto M, Esposito R, Sorrentino R, Lembo M, Luciano F, De Roberto AM, et al. Sex-specific echocardiographic reference values: the women’s point of view. J Cardiovasc Med. (2018) 19:527–35. doi: 10.2459/JCM.0000000000000696
24. Perrone-Filardi P, Coca A, Galderisi M, Paolillo S, Alpendurada F, de Simone G, et al. Non-invasive cardiovascular imaging for evaluating subclinical target organ damage in hypertensive patients: a consensus paper from the European association of cardiovascular imaging (EACVI), the European society of cardiology council on hypertension, and the European society of hypertension (ESH). Eur Heart J Cardiovasc Imaging. (2017) 18:945–60. doi: 10.1093/ehjci/jex094
25. Lembo M, Santoro C, Sorrentino R, Canonico ME, Fazio V, Trimarco B, et al. Interrelation between midwall mechanics and longitudinal strain in newly diagnosed and never-treated hypertensive patients without clinically defined hypertrophy. J Hypertens. (2020) 38:295–302. doi: 10.1097/HJH.0000000000002257
26. Lembo M, Santoro C, Sorrentino R, Fazio V, Canonico ME, Chiariello L, et al. Prominent basal and middle strain longitudinal involvement in newly-diagnosed and never treated hypertensive patients without clear-cut hypertrophy. Int J Cardiol. (2020) 304:179–84. doi: 10.1016/j.ijcard.2020.01.038
27. Lembo M, Esposito R, Santoro C, Lo Iudice F, Schiano-Lomoriello V, Fazio V, et al. Three-dimensional echocardiographic ventricular mass/end-diastolic volume ratio in native hypertensive patients: relation between stroke volume and geometry. J Hypertens. (2018) 36:1697–704. doi: 10.1097/HJH.0000000000001717
28. De Marco M, Gerdts E, Mancusi C, Roman MJ, Lonnebakken MT, Lee ET, et al. Influence of left ventricular stroke volume on incident heart failure in a population with preserved ejection fraction (from the strong heart study). Am J Cardiol. (2017) 119:1047–52. doi: 10.1016/j.amjcard.2016.12.011
29. Tufano A, Lembo M, Di Minno MN, Nardo A, Esposito R, Santoro C, et al. Left ventricular diastolic abnormalities other than valvular heart disease in antiphospholipid syndrome: an echocardiographic study. Int J Cardiol. (2018) 271:366–70. doi: 10.1016/j.ijcard.2018.05.040
30. Zamorano JL, Lancellotti P, Rodriguez Munoz D, Aboyans V, Asteggiano R, Galderisi M, et al. 2016 ESC position paper on cancer treatments and cardiovascular toxicity developed under the auspices of the ESC committee for practice guidelines: the task force for cancer treatments and cardiovascular toxicity of the European society of cardiology (ESC). Eur Heart J. (2016) 37:2768–801. doi: 10.1093/eurheartj/ehw211
31. Cadeddu Dessalvi C, Deidda M, Mele D, Bassareo PP, Esposito R, Santoro C, et al. Chemotherapy-induced cardiotoxicity: new insights into mechanisms, monitoring, and prevention. J Cardiovasc Med (Hagerstown). (2018) 19:315–23. doi: 10.2459/JCM.0000000000000667
32. Mancusi C, Losi MA, Izzo R, Canciello G, Manzi MV, Sforza A, et al. Effect of diabetes and metabolic syndrome on myocardial mechano-energetic efficiency in hypertensive patients. The Campania salute network. J Hum Hypertens. (2017) 31:395–9. doi: 10.1038/jhh.2016.88
33. Canciello G, de Simone G, Izzo R, Giamundo A, Pacelli F, Mancusi C, et al. Validation of left atrial volume estimation by left atrial diameter from the parasternal long-axis view. J Am Soc Echocardiogr. (2017) 30:262–9. doi: 10.1016/j.echo.2016.11.017
34. Izzo R, Stabile E, Esposito G, Trimarco V, Laurino FI, Rao MAE, et al. Development of new atherosclerotic plaque in hypertensive patients: an observational registry study fromthe Campania-salute network. J Hypertens. (2015) 33:2471–6. doi: 10.1097/HJH.0000000000000740
35. Andersen NH, Poulsen SH, Helleberg K, Ivarsen P, Knudsen ST, Mogensen CE. Impact of essential hypertension and diabetes mellitus on left ventricular systolic and diastolic performance. Eur J Echocardiogr. (2003) 4:306–12. doi: 10.1016/S1525-2167(03)00034-9
36. Ferroni P, Basili S, Paoletti V, Davi G. Endothelial dysfunction and oxidative stress in arterial hypertension. Nutr Metab Cardiovasc Dis. (2006) 16:222–33. doi: 10.1016/j.numecd.2005.11.012
37. Polak-Iwaniuk A, Harasim-Symbor E, Golaszewska K, Chabowski A. How hypertension affects heart metabolism. Front Physiol. (2019) 10:435. doi: 10.3389/fphys.2019.00435
38. Carnevale L, Maffei A, Landolfi A, Grillea G, Carnevale D, Lembo G. Brain functional magnetic resonance imaging highlights altered connections and functional networks in patients with hypertension. Hypertension. (2020) 76:1480–90. doi: 10.1161/HYPERTENSIONAHA.120.15296
39. Mancusi C, de Simone G, Best LG, Wang W, Zhang Y, Roman MJ, et al. Myocardial mechano-energetic efficiency and insulin resistance in non-diabetic members of the strong heart study cohort. Cardiovasc Diabetol. (2019) 18:56. doi: 10.1186/s12933-019-0862-9
40. Boudina S, Sena S, O’Neill BT, Tathireddy P, Young ME, Abel ED. Reduced mitochondrial oxidative capacity and increased mitochondrial uncoupling impair myocardial energetics in obesity. Circulation. (2005) 112:2686–95.
41. Ormazabal V, Nair S, Elfeky O, Aguayo C, Salomon C, Zuniga FA. Association between insulin resistance and the development of cardiovascular disease. Cardiovasc Diabetol. (2018) 17:122. doi: 10.1186/s12933-018-0762-4
42. Li Y, You A, Tomlinson B, Yue L, Zhao K, Fan H, et al. Insulin resistance surrogates predict hypertension plus hyperuricemia. J Diabetes Investig. (2021) 12:2046–53. doi: 10.1111/jdi.13573
43. Mancia G, Grassi G, Zanchetti A. New-onset diabetes and antihypertensive drugs. J Hypertens. (2006) 24:3–10. doi: 10.1097/01.hjh.0000194119.42722.21
44. Izzo R, de Simone G, Chinali M, Iaccarino G, Trimarco V, Rozza F, et al. Insufficient control of blood pressure and incident diabetes. Diabetes Care. (2009) 32:845–50. doi: 10.2337/dc08-1881
45. Beanlands RS, Nahmias C, Gordon E, Coates G, deKemp R, Firnau G, et al. The effects of beta(1)-blockade on oxidative metabolism and the metabolic cost of ventricular work in patients with left ventricular dysfunction: a double-blind, placebo-controlled, positron-emission tomography study. Circulation. (2000) 102:2070–5. doi: 10.1161/01.cir.102.17.2070
Keywords: arterial hypertension, beta-blockers, metabolic control, myocardial efficiency, left ventricular function
Citation: Lembo M, Trimarco V, Manzi MV, Mancusi C, Esposito G, Esposito S, Morisco C, Izzo R and Trimarco B (2022) Determinants of improvement of left ventricular mechano-energetic efficiency in hypertensive patients. Front. Cardiovasc. Med. 9:977657. doi: 10.3389/fcvm.2022.977657
Received: 24 June 2022; Accepted: 08 July 2022;
Published: 28 July 2022.
Edited by:
Michele Ciccarelli, University of Salerno, ItalyReviewed by:
Giuliano Tocci, Sapienza University of Rome, ItalyGiacomo Pucci, University of Perugia, Italy
Copyright © 2022 Lembo, Trimarco, Manzi, Mancusi, Esposito, Esposito, Morisco, Izzo and Trimarco. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Raffaele Izzo, cmFmZmFlbGUuaXp6b0B1bmluYS5pdA==
†These authors have contributed equally to this work