Dataset Information

Heart failure is associated with an increased incidence of cancer diagnoses.

ABSTRACT:

Aims

The prognosis and quality of life of heart failure patients is determined to a significant extent by co-morbidities. New data suggest that heart failure may be associated with an increased incidence of cancer. The present retrospective study investigates this association in a large collective of outpatients with heart failure.

Methods and results

This retrospective cohort study assessed the incidence of cancer in patients with an initial diagnosis of heart failure and a matched non-heart failure cohort in 1274 general practices in Germany between January 2000 and December 2018. The study is based on the Disease Analyser database (IQVIA), which contains drug prescriptions, diagnoses, and basic medical and demographic data. Hazard regression models were used to study the association between heart failure and the incidences of different cancers. A total of 100 124 patients with heart failure and 100 124 patients without heart failure were included in the analysis. Patients were matched individually by sex, age, diabetes, obesity, and yearly consultation frequency. Within the 10 year observation period, 25.7% of patients with heart failure and 16.2% of patients without heart failure had been diagnosed with cancer (log-rank P < 0.001). These proportions were 28.6% vs. 18.8% in female and 23.2% vs. 13.8% in male patients. Heart failure was significantly associated with the incidence of cancer [hazard ratio (HR), 95% confidence interval: 1.76, 1.71-1.81; P < 0.001 in total; HR: 1.85, 1.77-1.92, P < 0.001 in women; HR: 1.69, 1.63-1.76, P < 0.001 in men]. A significant association was found between heart failure and all cancer sites assessed. The strongest association was observed for cancer of lip, oral cavity, and pharynx (HR: 2.10, 95% confidence interval: 1.66-2.17; P < 0.001), followed by respiratory organs (HR: 1.91, 1.74-2.10; P < 0.001) and genital organs of female patients (HR: 1.86, 1.56-2.17; P < 0.001). The association for skin tumours was 1.83 (1.72-1.94; P < 0.001), for cancer of lymphoid and haematopoietic tissue 1.77 (1.63-1.91; P < 0.001), for cancer of the digestive tract 1.75 (1.64-1. 87; P < 0.001), for breast cancer 1.67 (1.52-1.84; P < 0.001), for cancer of the genitourinary tract 1.64 (1.48-1.81; P < 0.001), and for male genital organ cancer 1.52 (1.40-1.66; P < 0.001).

Conclusions

Our study indicates that heart failure patients experience a significantly higher incidence of cancer during the course of the disease.

SUBMITTER: Roderburg C

PROVIDER: S-EPMC8497216 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectiveHeart failure (HF) is an important covariate and outcome in studies of elderly populations and cardiovascular disease cohorts, among others. Administrative data is increasingly being used for long-term clinical research in these populations. We aimed to conduct the first systematic review and meta-analysis of studies reporting on the validity of diagnostic codes for identifying HF in administrative data.MethodsMEDLINE and EMBASE were searched (inception to November 2010) for studies: (a) Using administrative data to identify HF; or (b) Evaluating the validity of HF codes in administrative data; and (c) Reporting validation statistics (sensitivity, specificity, positive predictive value [PPV], negative predictive value, or Kappa scores) for HF, or data sufficient for their calculation. Additional articles were located by hand search (up to February 2011) of original papers. Data were extracted by two independent reviewers; article quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. Using a random-effects model, pooled sensitivity and specificity values were produced, along with estimates of the positive (LR+) and negative (LR-) likelihood ratios, and diagnostic odds ratios (DOR = LR+/LR-) of HF codes.ResultsNineteen studies published from 1999-2009 were included in the qualitative review. Specificity was ≥95% in all studies and PPV was ≥87% in the majority, but sensitivity was lower (≥69% in ≥50% of studies). In a meta-analysis of the 11 studies reporting sensitivity and specificity values, the pooled sensitivity was 75.3% (95% CI: 74.7-75.9) and specificity was 96.8% (95% CI: 96.8-96.9). The pooled LR+ was 51.9 (20.5-131.6), the LR- was 0.27 (0.20-0.37), and the DOR was 186.5 (96.8-359.2).ConclusionsWhile most HF diagnoses in administrative databases do correspond to true HF cases, about one-quarter of HF cases are not captured. The use of broader search parameters, along with laboratory and prescription medication data, may help identify more cases.

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