The new Sheffield risk and benefit tables for the elderly

N D Weatherley1, P R Jackson

  • 1Foundation Year 2 Doctor, South Yorkshire Deanery, UK. nweatherley@nhs.net

Insights

New tables provide guidance on cardiovascular disease (CVD) risk and treatment benefits for elderly patients. This helps older individuals and their doctors make informed decisions about preventive therapies.

Area of Science:

  • Geriatric Medicine
  • Cardiovascular Disease Prevention
  • Health Risk Assessment

Background:

  • Current cardiovascular disease (CVD) prevention guidelines often exclude patients over 75.
  • Existing risk charts focus on risk estimation, not treatment benefit, complicating patient decision-making.
  • A need exists for tools to guide CVD prevention in the elderly.

Purpose of the Study:

  • To develop and present tables for assessing both cardiovascular disease (CVD) risk and treatment benefits in elderly populations.
  • To provide a practical tool for clinicians and patients to evaluate the necessity and efficacy of preventive treatments.

Main Methods:

  • Systematic review to identify suitable CVD risk functions for the elderly.
  • Utilized the Dubbo study's risk equation, adapted into a dichotomized risk table similar to the 'Sheffield table'.
  • Developed a risk scoring system and a Markov chain model to quantify treatment benefits (e.g., disease-free years) from statin and anti-hypertensive therapies.

Main Results:

  • A new risk table allows calculation of 10-year CVD risk based on gender, age, and key risk factors (e.g., total cholesterol).
  • A derived risk scoring system simplifies risk calculation using demographics, blood pressure, and cholesterol levels.
  • The Markov model translates risk scores into quantifiable benefits of preventive treatments, aiding treatment decisions.

Conclusions:

  • The developed risk table offers a straightforward method for assessing CVD risk in the elderly.
  • The accompanying benefit table presents treatment advantages in terms of disease-free years, enhancing patient understanding.
  • These tools aim to improve primary prevention strategies for cardiovascular disease in older adults.

Related Concept Videos

Life Tables01:22

Life Tables

A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
Applications of Life Tables01:22

Applications of Life Tables

Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
Drug Dosing: Geriatric Patients01:15

Drug Dosing: Geriatric Patients

Elderly individuals encompass a diverse population with varying degrees of age-related physiological changes. Defining the elderly presents challenges, as the geriatric population is often arbitrarily categorized as individuals older than 65. However, many individuals in this group lead active and healthy lives, with an increasing number surpassing 85 years and falling into the older elderly category. Physiological changes associated with aging impact performance capacity and homeostatic...
Dosage Regimen Designs: Nomograms and Tabulations01:23

Dosage Regimen Designs: Nomograms and Tabulations

Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...
Actuarial Approach01:20

Actuarial Approach

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Relative Risk01:12

Relative Risk

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...