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

715
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,...
715
Actuarial Approach01:20

Actuarial Approach

359
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,...
359
Cancer Survival Analysis01:21

Cancer Survival Analysis

822
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
822
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

522
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
522
Life Tables01:22

Life Tables

629
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,...
629
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

703
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
703

You might also read

Related Articles

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

Sort by
Same author

Recent advances in machine learning and Bayesian modeling for tropical disease prediction, diagnosis, and risk analysis: a scoping review.

BMC infectious diseasesยท2026
Same author

An Exploratory Assessment of Geographic Variation and Disease Clustering of Multimorbidity Among Older Adults in Odisha, India.

Cureusยท2026
Same author

Diabetes-Associated Risk and Population Burden of Comorbid Conditions Among Older Adults and Elderly Persons in India.

Sage open agingยท2026
Same author

Outcomes of lateral and posterior approaches in hip arthroplasty: A cohort from low-middle-income country.

JPMA. The Journal of the Pakistan Medical Associationยท2026
Same author

30-day morbidity and mortality after hip surgery - A single-centre study.

JPMA. The Journal of the Pakistan Medical Associationยท2026
Same author

From polyethylene terephthalate waste to a multilayer MOF: a sustainable strategy for enhanced supercapacitor performance.

RSC advancesยท2026

Related Experiment Video

Updated: Mar 25, 2026

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.5K

Defining operative mortality: Impact on outcome reporting.

Steven Maximus1, Jeffrey C Milliken1, Beate Danielsen2

  • 1Division of Cardiothoracic Surgery, Department of Surgery, University of California Irvine Medical Center, Orange, Calif.

The Journal of Thoracic and Cardiovascular Surgery
|February 16, 2016
PubMed
Summary

A significant percentage of procedural deaths occur post-discharge, particularly after percutaneous coronary intervention (PCI). Accurate reporting of operative mortality is crucial for clinical registries like the Society of Thoracic Surgeons Adult Cardiac Surgery Database.

Keywords:
CABGPCIcardiac surgeryoperative mortalityoutcome reporting

Related Experiment Videos

Last Updated: Mar 25, 2026

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.5K

Area of Science:

  • Cardiovascular Surgery
  • Health Outcomes Research
  • Medical Informatics

Background:

  • Procedural mortality is a key outcome in cardiac interventions.
  • Definitions of operative mortality have evolved, impacting outcome reporting.
  • Recent definitions in the Society of Thoracic Surgeons Adult Cardiac Surgery Database include post-transfer and all-cause 30-day deaths.

Purpose of the Study:

  • To assess the impact of redefined operative mortality metrics on outcome reporting.
  • To quantify post-discharge deaths following cardiac procedures.

Main Methods:

  • Utilized the California Office of Statewide Health Planning and Development database (2009).
  • Analyzed isolated coronary artery bypass grafting (CABG), isolated valve, CABG-valve, and percutaneous coronary intervention (PCI) procedures.
  • Employed five distinct methods for counting mortality, including in-hospital, connected hospitalization, and 30-day outcomes.
  • Conducted two analyses: one excluding no patients, and one excluding untrackable patients.

Main Results:

  • In the unexcluded analysis, 17% of surgical deaths and 31% of PCI deaths occurred post-hospitalization.
  • Elective PCI showed the highest post-hospital death rate (45%).
  • CABG procedures had the highest post-hospital death rate among surgical patients (20%).
  • With untrackable patients excluded, hospital deaths were 4% for surgery and 12% for PCI.

Conclusions:

  • A substantial proportion of procedural deaths occur after patients leave the initial hospital.
  • This finding is particularly pronounced in percutaneous coronary intervention (PCI) procedures.
  • Emphasizes the critical importance of standardized and accurate operative mortality definitions for clinical registries.