PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 6, 2026European Heart Journal0 citations

The inclusion of cancer in heart failure risk assessment tool for patients with type-2 diabetes mellitus: a precision medicine approach

View Full Paper
NKN KaurAIAntonio IaconelliGTG Tse

Key Result

A history of cancer in patients with type-2 diabetes mellitus was associated with a higher risk of incident heart failure (HR 1.27; 95% CI 1.15-1.40; P<0.005).

Key Points

  • The aim is to incorporate cancer history into heart failure risk assessment tools for better early detection in patients with type-2 diabetes mellitus.
  • Analyzed electronic medical records from a diverse type-2 diabetes cohort.
  • Determined cancer and heart failure diagnoses using ICD codes.
  • Applied Cox regression and machine-learning models for risk prediction.
  • Utilized artificial intelligence for model interpretability.
  • Among 262,687 patients, 3% developed incident heart failure from 2009 to 2019.
  • 4% had a prior history of cancer.
  • The cancer inclusion model achieved a c-statistic score of 0.91 for predicting incident heart failure.
  • Lower hemoglobin and higher potassium levels were associated with higher heart failure risk.
  • Individuals with cancer history had a 27% higher risk of developing heart failure.

Study Design

Type

Cohort (n=262,687)

Structured PICO

Does including cancer history improve the prediction of incident heart failure in patients with type-2 diabetes mellitus?

P
Population
262,687 patients with type-2 diabetes mellitus aged >50 years from a Chinese cohort, evaluated for incident heart failure between 2009 and 2019.
E
Exposure
Heart failure risk assessment model incorporating prior history of cancer.
C
Comparator
Heart failure risk assessment model excluding prior history of cancer.
O
Outcome
Prediction accuracy for incident heart failure (measured by c-statistic and Brier score).

Integrating cancer history into heart failure risk assessment models for patients with type-2 diabetes mellitus improves the accuracy of predicting incident heart failure.

Main Result

Hazard Ratio: 1.27 (95% CI 1.15–1.4)

p-value: p=<0.005

Abstract

Abstract Introduction Cancer survivors are at increased risks of developing heart failure (HF) due to shared risk factors and cancer treatment-induced cardiac dysfunction. However, current HF risk assessment tools often overlook cancer history, potentially missing early intervention opportunities. Including cancer risk into HF risk models provides a more defined approach, improving personalised care. Aim To integrate cancer history into HF risk assessment tool for improved early detection in patients with T2DM. Methods We obtained electronic medical records (EMRs) from a diverse type-2 diabetes mellitus (T2DM) Chinese cohort, including demographics, laboratory measurements, medications and prior comorbidities. Prevalent cancer and incident HF diagnoses were determined based on the International Classification of Diseases (ICD) Ninth version codes. Cox regression and time-dependent machine-learning models were implemented for patients with and without prevalent cancer. State-of-the-art artificial intelligence interpretability with clinical expertise were used to provide a support tool able to predict the risk of HF in a population with an established cancer. Results Out of 262,687 patients with T2DM aged 50 years, 8,515 (3%) had incident HF between 2009-2019. 11,433 (4%) had a prior history of cancer. The prevalent cancer inclusion model c-statistic score was 0.91 and the brier score was 0.02 for predicting incident HF. The key factors in order are shown in Table 1: use of insulin, estimated glomerular function ratio (eGFR), use of loop diuretics, history of cancer and coronary artery disease (CAD) (myocardial infarction and angina). Lower levels of haemoglobin, serum albumin, lymphocytes, higher levels of alkaline phosphatase (ALP) and potassium were the main factors associated with incident HF. The model that excluded prior cancer history showed decreased in performance (c-statistic: 0.88 and brier: 0.03). Individuals with a history of cancer had a higher risk of incident HF compared to those who did not (HR: adjusted for age and sex 1.27 95% CI 1.15 – 1.40 (0.005)). Conclusion Including cancer history into HF risk assessment enhances prediction accuracy, highlighting its importance in personalised care for T2DM patients.Table 1:Cancer History in HF Risk

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Kaur et al. (2025) conducted a cohort in Type-2 diabetes mellitus (n=262,687). History of cancer vs. No history of cancer was evaluated on Incident heart failure (HR 1.27, 95% CI 1.15-1.40, p=<0.005). A history of cancer in patients with type-2 diabetes mellitus was associated with a higher risk of incident heart failure (HR 1.27; 95% CI 1.15-1.40; P<0.005).

synapsesocial.com/papers/698585758f7c464f23008ddfhttps://doi.org/10.1093/eurheartj/ehaf784.4520
Ask AI
Helpful
Bookmark
Share
View Full Paper