Assessment of vascular inflammation and subclinical nephropathy in exaggerated blood pressure response to exercise test

A machine learning analysis of predictors of future hypertension in a young population

BACKGROUND

Early diagnosis of hypertension (HT) is crucial for preventing end-organ damage. This study aims to identify the risk factors for future HT in young individuals through the application of machine learning (ML) models.

METHODS

The study included individuals aged 18-40 years who had not been diagnosed with HT through ambulatory blood pressure monitoring (ABPM). These participants were monitored for hypertension diagnosis from the date of ABPM application until the date of data collection. Hypertension prediction was carried out using three distinct ML methods: Support Vector Machine, Random Forest, and Least Absolute Shrinkage and Selection Operator. The identification of variables significant for future HT was based on the outcomes of these models.

RESULTS

This study comprised 516 patients, with a mean follow-up duration of 793.4±58.6 days. Following the integration of demographic data, laboratory results, and ABPM findings into the ML models, age, high-density lipoprotein cholesterol, triglycerides, and the standard deviation of systolic blood pressure (SDsis) were identified as predictors for future HT. A logistic regression with the selected variables (age, diabetes mellitus history, HDL, triglycerides, white blood cell count, and SDsis) using the full data set gave the following log odds 0.0737 (P<0.001), 0.7146 (P<0.001), -0.0160 (P=0.071), 0.0026 (P=0.002), 0.0857 (P=0.069), and 0.0850 (P=0.005), respectively. The corresponding probability values of age, diabetes mellitus history, HDL, triglycerides, white blood cell count, and SDsis were 0.5184, 0.6714, 0.4960, 0.5006, 0.5214, and 0.5212, respectively. This indicates a unit increase in all factors, except diabetes mellitus history, increases the probability of future HT by 50%. A history of diabetes, however, increases the probability of future HT by more than two thirds. The history of diabetes mellitus emerged as the most crucial predictor of future HT across all applied methods.

CONCLUSIONS

ML methods appear to be valuable tools for predicting future HT. The widespread adoption of these methods and the refinement of more comprehensive models will lay the groundwork for future studies.

Association of Morning Surge and Postexercise Heart Rate and Blood Pressure Recovery

INTRODUCTION

The autonomic nervous system plays an active role in the regulation of early morning blood pressure (BP) and BP/pulse regulation in the treadmill exercise test (TET).

AIM

We evaluated the relationship between BP/pulse changes during TET and morning blood pressure surge (MS).

METHODS

Patients who underwent ambulatory blood pressure measurement (ABPM) and TET in the same visit between 2017 and 2020 were evaluated retrospectively. Patients with previously diagnosed hypertension and/or using antihypertensives and office BP ≥ 140/90 were excluded from the study.MS values and dipping percentage were calculated from ABPM data. The patients were analyzed by dividing them into two groups according to the MS median, and BP/pulse values during exercise and recovery periods were compared in these groups.

RESULTS

202 patients [median age 45 (39-51), male 134 (66.3%)] were included in the study. MS median was 18.5 (10.75-27) mmHg. TET recovery period 3rd-min systolic blood pressure (RSBP) was higher in the group with high MS (p: 0.017). Systolic and diastolic dipping percentages were higher in the group with higher MS (p: 0.015, p: 0.040, respectively). Peak systolic and diastolic BP, RSBP, and recovery 3rd min diastolic BP were positively correlated with MS (p < 0.05, for all). Additionally, an independent relationship was observed between RSBP and MS (β: 0.205, p: 0.028).

CONCLUSION

We found an independent association between RSBP and MS. Increased RSBP may be associated with target organ damage and cardiovascular events such as MS.

Predictors of left atrial remodeling in newly diagnosed hypertensive patients: a speckle-tracking echocardiographic study

Endothelial dysfunction, oxidative stress, and increased inflammatory activity are the main pathophysiological mechanisms responsible for cardiac remodeling secondary to hypertension. Bilirubin has anti-oxidant, anti-inflammatory, and anti-fibrotic functions. This report's objectives are to determine whether Query identifiers of left atrial (LA) remodeling, total atrial conduction time (TACT) and LA reservoir strain (LARS), are associated with serum total bilirubin levels, and to identify the possible predictors of LA remodeling in newly diagnosed hypertensive subjects. One hundred thirty-four subjects were enrolled in this study. TACT was evaluated by tissue Doppler imaging, and LARS was calculated by speckle-tracking echocardiography. Laboratory parameters were recorded. The subjects were classified into two separate groups according to the median value of TACT and LARS. In patients with supramedian TACT, LA volume index (LAVI) and epicardial adipose tissue (EAT) thickness were higher, while LARS and LVGLS were lower. In subjects with inframedian LARS, TACT was longer, LAVI and EAT thickness were higher, and LVGLS was lower. Patients with supramedian TACT and inframedian LARS were older and had lower total bilirubin. Total bilirubin, EAT thickness, and age were predictors of TACT and LARS. Serum bilirubin levels may have a protective effect on the LA remodeling process in newly diagnosed hypertensive subjects.