Related Experiment Video
Updated: Jul 27, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Age and Gender Adjusted FT3 Levels as Novel Predictors of Survival
David Strich1, Ariel Israel2, Shalom Edri3
1Pediatric Specialists Clinic, Endocrinology and Diabetes, Clalit Health Services, Jerusalem, Israel and Shaare Zedek Medical Center, Jerusalem, Israel.
Context:
Lower levels of free T3 (FT3) occur during acute illness, as part of "euthyroid sick syndrome." A chronic form of this syndrome also exists.
Objective:
To determine whether thyroid hormone levels predict long-term survival.
Design And Setting:
This was a "big-data" study of thyroid function tests from samples taken between 2008 and 2014. Data were crossed with electronic health records for morbidity and mortality. Test results were converted to age- and gender-adjusted percentiles (AGAPs). The hazard ratio for death was crossed with ranges of initial AGAPs and change in AGAPs for 2 subgroups: "not healthy" (subjects with at least 1 of 5 chronic conditions registered in their electronic health chart) and "healthy" (all others).
Participants:
2 453 091 sets of thyroid function tests from 365 965 distinct patients were evaluated. 258 695 sets remained after excluding patients registered as taking thyroid preparations or anti-thyroid drugs.
Main Outcome Measure:
Hazard ratio for death, planned before data collection.
Results:
The cohort included 151 868 not healthy and 106 827 healthy people. After a median of 6.8 years, 5865/151 868 (10.4%) of the not healthy had died and 2504/106 827 (2.3%) of healthy participants. Low initial FT3 AGAPs were predictive of poor survival. The hazard ratio for survival compared between the lowest 5 and highest 50 percentiles of initial FT3 AGAPs for not healthy participants was 5.71 [confidence interval (CI) 5.23-6.26, P < .001] and for healthy was 3.92 (CI 3.06-5.02, P < .001).
Conclusion:
Low FT3 AGAPs predicted poor survival, most strongly among not healthy people.
More Related Videos
05:15Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Related Concept Videos
Cancer Survival Analysis
Comparing the Survival Analysis of Two or More Groups
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
Life Tables
Assumptions of Survival Analysis