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関連する概念動画

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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Coronary Artery Disease I: Introduction01:30

Coronary Artery Disease I: Introduction

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Coronary Artery Disease (CAD): An Overview with Scientific InsightsCoronary Artery Disease (CAD), often referred to as C-A-D, is a prevalent blood vessel disorder classified under the broader category of atherosclerosis. Atherosclerosis is a pathological process characterized by the hardening and narrowing of arteries due to the accumulation of atherosclerotic plaques. These plaques are composed of cholesterol, fatty substances, inflammatory cells, calcium, and fibrin, reducing blood flow to...
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Sensitivity, Specificity, and Predicted Value01:13

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In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
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Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

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A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
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When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
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Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
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関連する実験動画

Updated: Dec 28, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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多遺伝子リスクスコア強化予測モデルと冠動脈疾患の臨床リスクスコアの予測精度

Joshua Elliott1, Barbara Bodinier1, Tom A Bond1

  • 1Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.

JAMA
|February 19, 2020
PubMed
まとめ

冠動脈疾患 (CAD) の予測モデルに多遺伝子リスクスコアを追加すると,精度がわずかに改善されます. この遺伝的リスクの情報が臨床的に広く利用される前に,さらなる研究が必要である.

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An R-Based Landscape Validation of a Competing Risk Model
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Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
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科学分野:

  • 心血管疾患の疫学
  • 遺伝学とゲノミクス
  • 予測モデリング

背景:

  • 既存のリスク予測モデルと並行して冠動脈疾患 (CAD) のポリジェニックリスクスコア (PRS) の臨床的有用性は不明である.
  • リスク評価の基礎となるのは,集合コホート方程式のような確立されたモデルです.

研究 の 目的:

  • CADのPRSが現在の集団コホート方程式を超えてリスク予測の精度を向上させるかどうかを判断する.
  • 大規模で多様な集団におけるPRSのインクリメンタル予測値を評価する.

主な方法:

  • 観察研究では,PRSの最適化のためのケース・コントロールサンプルと予測精度評価のためのより大きなコホートを含む2006年から2010年の英国バイオバンクデータを利用した.
  • この研究では,PRS,プールされたコホート方程式,およびそれらの組み合わせを使用して,差別 (C統計),校正,およびインシデントCADリスクの再分類を評価した.
  • 再分類の分析には7.5%のリスク基準が適用された.

主要な成果:

  • PRSと集団コホート方程式を組み合わせると,集団コホート方程式のみ (0. 76) よりもわずかに改善したC統計が得られました.
  • PRSの追加により,7.5%のリスク値でインシデントCADの4.0%の純再分類改善がもたらされました.
  • 統計的に有意だが,予測の精度とリスクの階層化の改善は控えめで,少数の個人に適用された.

結論:

  • 群集されたコホート方程式にCADのPRSを組み込むことは,インシデントCADを予測する上で統計的に有意な,しかし控えめな改善を提供します.
  • 現在の証拠は,広範な実施のための限られた臨床効果を示唆し,さらなる調査を正当化します.
  • この研究は 遺伝情報の可能性を強調していますが 臨床採用前に 慎重に評価する必要性を強調しています