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Related Concept Videos

Hypertension I: Introduction01:28

Hypertension I: Introduction

Hypertension is a widespread, long-term medical condition where blood pressure in the arteries remains elevated. It is characterized by systolic blood pressure readings of 130 mm Hg or above or diastolic blood pressure (DBP) readings of 80 mm Hg or higher. Unmanaged hypertension poses significant health risks, making the distinction between primary (or essential) hypertension and secondary hypertension crucial, as their management and implications vary.Primary HypertensionPrimary hypertension,...
Hypertension III: Clinical Manifestations and Diagnostic Studies01:30

Hypertension III: Clinical Manifestations and Diagnostic Studies

Hypertension is asymptomatic and also referred to as the "silent killer" until it progresses to a severe stage or causes target organ disease. Patients may experience symptoms stemming from the strain on blood vessels and tissues in various organs or the heart's increased workload.Physical exams might show no abnormalities other than high blood pressure. Signs of vascular damage, when present, correspond to the organs supplied by the affected vessels, leading to target organ damage. For...
Hypertension II: Pathophysiology01:29

Hypertension II: Pathophysiology

Hypertension is a chronic condition in which the blood's force against artery walls is excessively high, posing risks such as heart disease. The condition's underlying mechanisms involve complex interactions among the cardiovascular, kidney, and autonomic nervous systems.Renin-Angiotensin-Aldosterone System (RAAS): This system significantly influences blood pressure regulation. When blood pressure decreases, the kidneys secrete renin. This enzyme transforms angiotensinogen, a plasma protein,...
Pre-Procedural Guidelines for Assessing Blood Pressure01:10

Pre-Procedural Guidelines for Assessing Blood Pressure

Accurate blood pressure assessment is crucial for diagnosing and managing various health conditions. To ensure the reliability of these measurements, healthcare professionals must adhere to standardized pre-procedural guidelines. These guidelines enhance patient safety and improve the overall quality of healthcare. The following steps are essential for obtaining accurate and consistent blood pressure readings, from using the appropriate tools to ensuring effective communication with the patient.
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Hypertension and Regulation of Blood Pressure01:18

Hypertension and Regulation of Blood Pressure

Hypertension, the most common cardiovascular disease, is diagnosed through repeated measurements of elevated blood pressure. Its risks, including damage to the kidney, heart, and brain, are directly proportional to blood pressure levels. Starting from 115/75 mm Hg, the risk of cardiovascular disease doubles with each increment of 20/10 mm Hg. The diagnosis relies on blood pressure measurements, not on patient symptoms, as hypertension is often asymptomatic until end-organ damage is imminent or...

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Related Experiment Videos

An interpretable combinatorial data-mining framework for predicting new-onset hypertension in the general population.

Yohei Miyashita1, Naoki Kimoto2,3, Kohsuke Onoue3

  • 1Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, Japan.

Hypertension Research : Official Journal of the Japanese Society of Hypertension
|June 22, 2026
PubMed
Summary

Predicting new-onset hypertension (HT) is crucial for prevention. A novel data-mining framework identified combinations of routine clinical factors that predict hypertension development, enabling risk stratification and early intervention strategies.

Keywords:
Artificial intelligenceDigital hypertensionForecastingPrediction algorithmsRisk assessment

Related Experiment Videos

Area of Science:

  • Cardiology
  • Data Science
  • Preventive Medicine

Background:

  • Hypertension (HT) is a major risk factor for heart failure.
  • Accurate prediction of new-onset HT is vital for effective prevention strategies.
  • Previous work established a data-mining framework for heart failure prediction.

Purpose of the Study:

  • To identify combinations of clinical factors predictive of new-onset hypertension (HT) using a novel limitless-arity multiple-testing procedure (LAMP).
  • To estimate the probability of developing HT based on identified predictive combinations.
  • To enable risk stratification and support early preventive strategies for HT.

Main Methods:

  • Analysis of 2,610,286 individuals without HT, followed for 5 years.
  • Systematic identification of statistically significant combinations of fewer than four clinical factors using LAMP.
  • Classification of individuals into groups based on the number of predictive combinations and Kaplan-Meier/ROC analyses.

Main Results:

  • 4802 combinations of clinical factors predictive of HT onset were identified from 28,618 subjects.
  • Hypertension incidence increased stepwise with the number of predictive combinations (p < 0.001).
  • Receiver-operating characteristic analysis showed moderate discriminative performance (AUC = 0.69).

Conclusions:

  • Combinations of routine clinical parameters can predict new-onset HT in the general population.
  • A higher number of predictive combinations correlates with a proportionally increased probability of developing HT.
  • The interpretable data-mining framework facilitates HT risk stratification and supports early preventive measures.