Related Experiment Video
Updated: Sep 16, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Cardiovascular Disease Mortality Risk among Long-term Survivors of Different Hodgkin Lymphoma Types
Zhenxing Lu1, Liyu Guo2,3, Huijuan He2,3
1Department of Cardiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, 330006 Nanchang, Jiangxi, China.
Insights
Cardiovascular disease (CVD) mortality risk surpassed Hodgkin lymphoma (HL) mortality risk in most survivors over time. Risk varied by HL subtype, necessitating tailored strategies for long-term CVD risk reduction.
Area of Science:
- Oncology
- Cardiology
- Epidemiology
Background:
- Cardiovascular disease (CVD) mortality trends and disparities in Hodgkin lymphoma (HL) survivors are not well understood.
- Investigating these trends is crucial for improving long-term patient outcomes.
Purpose of the Study:
- To examine the temporal trends in CVD mortality risk among survivors of different Hodgkin lymphoma (HL) subtypes.
- To identify disparities in CVD mortality risk based on HL subtypes and patient demographics.
Main Methods:
- A multicenter cohort study included 20,423 HL patients diagnosed between 1975 and 2018.
- Follow-up averaged 18.5 years, with analyses including proportional mortality ratios and cumulative cause-specific mortality.
- Standardized mortality ratios and absolute excess risks were calculated to assess CVD mortality.
Main Results:
- CVD deaths exceeded HL deaths after approximately 12 months for nodular lymphocyte-predominant HL (NLPHL) and 120 months for classical HL.
- Cumulative CVD mortality continuously increased, surpassing HL mortality at various time points for most HL subtypes.
- Specific HL subtypes and demographic factors (e.g., race, sex) were associated with differential CVD mortality risks.
Conclusions:
- CVD mortality risk ultimately exceeded HL mortality risk in many long-term survivors, with significant variations across HL subtypes.
- The temporal trends in CVD mortality differ substantially among HL subtypes, highlighting the need for subtype-specific management.
- Developing targeted strategies to mitigate CVD mortality risk is essential for improving the long-term health of Hodgkin lymphoma survivors.
Background:
The temporal trend and disparities in cardiovascular disease (CVD) mortality risk among long-term survivors of different Hodgkin lymphoma (HL) types are unclear. Therefore, we aimed to examine the temporal trend and disparities in CVD mortality risk among survivors of various HL subtypes.
Methods:
This multicenter cohort included 20,423 patients with HL diagnosed between 1975 and 2018, with an average follow-up time of 18.5 years. Proportional mortality ratio, cumulative cause-specific mortality accounting for competing risks, standardized mortality ratio, and absolute excess risk were calculated.
Results:
Patients with nodular lymphocyte-predominant HL (NLPHL) and classical HL exhibited higher CVD-related deaths than HL-related deaths after approximately 12 and 120 months of follow-up, respectively. From the initial diagnosis to >500 months of follow-up, the cumulative CVD mortality increased continuously without a plateau and exceeded that of HL at different times in most patients with various HL types. However, CVD mortality risk exceeded that of HL earlier in NLPHL than in other types. Black or male patients with nodular sclerosing classical HL exhibited a higher CVD mortality risk, while a contrary trend was noted among those with lymphocyte-rich classical HL or lymphocyte-depleted classical HL. Over the past decades, CVD mortality risk has decreased slowly or remained unchanged. Patients with HL exhibited higher risks of CVD mortality than the general population.
Conclusions:
CVD mortality risk exceeded that of HL over time among many survivors. This temporal trend was significantly different among various HL subtypes. Thus, more effective strategies are required to reduce the risk of CVD mortality, depending on subtypes.
More Related Videos
07:32Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis
Published on: April 12, 2024
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
Assumptions of Survival Analysis
Longitudinal Research
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Kaplan-Meier Approach