Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Kaplan-Meier Approach01:24

Kaplan-Meier Approach

The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

More Levels of Complexity in the Control of Intestinal Inflammation.

Cellular and molecular gastroenterology and hepatology·2021
Same author

EASL recognition award recipient 2021: Prof. Patrizia Burra.

Journal of hepatology·2021
Same author

Outcomes of Prosthesis-Patient Mismatch Following Supra-Annular Transcatheter Aortic Valve Replacement: From the STS/ACC TVT Registry.

JACC. Cardiovascular interventions·2021
Same author

Mitral Surgery After Transcatheter Edge-to-Edge Repair: Society of Thoracic Surgeons Database Analysis.

Journal of the American College of Cardiology·2021
Same author

Sinusoidal Endothelial Cells as Orchestrators of the Gut Liver Immune Axis.

Hepatology (Baltimore, Md.)·2021
Same author

Anatomic classification of mitral annular calcification for surgical and transcatheter mitral valve replacement.

Journal of cardiac surgery·2021
Same journal

A Systematic Review on the Impact of Postoperative Rehabilitation Programs in Thoracic Surgery Patients.

Seminars in thoracic and cardiovascular surgery·2026
Same journal

Endoscopic vs. Operative Management of Acute Esophageal Perforation: A 21-Year Experience at a High-Volume Referral Center.

Seminars in thoracic and cardiovascular surgery·2026
Same journal

Valved Sano Conduit During the Norwood Procedure: A Contemporary Review of Early Outcomes, Reintervention Burden, and Pulmonary Artery Growth.

Seminars in thoracic and cardiovascular surgery·2026
Same journal

Propensity Score-Matched Analysis Comparing Modified Konno Procedure and Transaortic Septal Myectomy in Children With Left Ventricular Outflow Tract Obstruction.

Seminars in thoracic and cardiovascular surgery·2026
Same journal

Post-Operative Hemothorax: Uniportal Video-Assisted Thoracic Surgery vs Thoracotomy-Analysis of Outcomes and Costs.

Seminars in thoracic and cardiovascular surgery·2026
Same journal

Palliative Care Throughout the Entire Perioperative Pathway in Cardiovascular Surgery.

Seminars in thoracic and cardiovascular surgery·2026
See all related articles

Related Experiment Video

Updated: Jun 6, 2026

Identifying Frailty Using Point-of-Care Ultrasonography: Image Acquisition and Assessment
04:00

Identifying Frailty Using Point-of-Care Ultrasonography: Image Acquisition and Assessment

Published on: July 26, 2024

Frailty: the missing element in predicting operative mortality.

Joanna Chikwe1, David H Adams

  • 1Department of Cardiothoracic Surgery, Mount Sinai School of Medicine, New York, New York 10029, USA. joanna.chikwe@mountsinai.org

Seminars in Thoracic and Cardiovascular Surgery
|November 25, 2010
PubMed
Summary
This summary is machine-generated.

Chronological age is a risk factor for cardiac surgery outcomes, but biological age, assessed by frailty and functional status, offers better prediction for elderly patients.

More Related Videos

Frailty Assessment in an Aging Mouse Model
06:58

Frailty Assessment in an Aging Mouse Model

Published on: September 23, 2025

Related Experiment Videos

Last Updated: Jun 6, 2026

Identifying Frailty Using Point-of-Care Ultrasonography: Image Acquisition and Assessment
04:00

Identifying Frailty Using Point-of-Care Ultrasonography: Image Acquisition and Assessment

Published on: July 26, 2024

Frailty Assessment in an Aging Mouse Model
06:58

Frailty Assessment in an Aging Mouse Model

Published on: September 23, 2025

Area of Science:

  • Geriatric Medicine
  • Cardiovascular Surgery
  • Clinical Risk Assessment

Background:

  • Advanced chronological age is a known independent risk factor for adverse outcomes, including mortality, morbidity, and reduced quality of life following cardiac surgery.
  • Despite age being a significant risk factor, numerous studies report successful cardiac surgery outcomes even in very elderly patient populations.

Purpose of the Study:

  • To review current literature on the disparity between chronological and biological age in cardiac surgery.
  • To explore the utility of frailty and functional status assessments in refining pre-operative risk stratification for elderly patients undergoing cardiac surgery.

Main Methods:

  • Systematic review of recent studies focusing on pre-operative risk stratification in elderly cardiac surgery patients.
  • Analysis of methodologies assessing biological age, including frailty and functional status evaluations.

Main Results:

  • Chronological age alone is insufficient for predicting outcomes in elderly cardiac surgery patients.
  • Frailty and functional status assessments provide a more nuanced understanding of biological age and surgical risk.
  • Improved risk stratification can lead to better patient selection and surgical planning.

Conclusions:

  • Biological age, assessed through frailty and functional status, is a more accurate predictor of cardiac surgery outcomes in the elderly than chronological age.
  • Incorporating frailty and functional assessments into pre-operative evaluations can enhance risk stratification and optimize patient care.
  • Further research is warranted to integrate these measures into routine clinical practice for elderly cardiac surgery candidates.