Key result
In hospitalized patients with advanced cancer without significant cardiovascular disease, MR-proADM was an independent predictor of all-cause mortality (HR 2.27 per 1 ln increase).
Why the study?
Traditional cardiovascular biomarkers monitor cardiac function and prognosis in cancer, but newer biomarkers such as MR-proADM, copeptin, and MR-proANP might outperform them.
Cohort (n=442)
No
Hazard Ratio: 2.27 (95% CI 1.47–3.5)
p-value: p=<0.001
MR-proADM is an independent predictor of mortality in hospitalized patients with advanced cancer, outperforming traditional cardiovascular biomarkers.
MR-proADM independently predicted mortality in advanced cancer; hypothesis-generating for superiority over hsTnT/NT-proBNP before prospective validation.
AIMS: Traditional cardiovascular (CV) biomarkers (high-sensitivity troponinT [hsTnT] and N-terminal pro-B-type natriuretic peptide [NT-proBNP]) are important to monitor cancer patients' cardiac function and to assess prognosis. Newer CV biomarkers (mid-regional pro-adrenomedullin [MR-proADM], C-terminal pro-arginine vasopressin [copeptin], and mid-regional pro-atrial natriuretic peptide [MR-proANP]) might outperform traditional biomarkers. METHODS AND RESULTS: Overall, 442 hospitalized cancer patients without significant CV disease or current infection were enrolled (61 ± 15 years, 52% male, advanced cancer stage: 85%) and concentrations of CV biomarkers were analysed. Differences in echocardiographic, clinical, laboratory parameters were assessed. Patients were followed for up to 69 months for all-cause mortality. In univariable analyses, MR-proADM, hsTnT, copeptin, MR-proANP, and NT-proBNP predicted all-cause mortality. In multivariable analyses (adjusted for sex, age, Eastern Cooperative Oncology Group performance status, estimated glomerular filtration rate [eGFR], C-reactive protein, anti-cancer therapy, reason for hospitalization, cancer stage and type), only MR-proADM remained an independent predictor of mortality (MR-proADM per 1 ln: hazard ratio [HR] 2.27, 95% confidence interval [CI] 1.47-3.50], p < 0.001). MR-proADM had the highest area under the curve (AUC) using receiver operating characteristic analysis (AUC [95% CI] 0.74 [0.69-0.79]; hsTnT: AUC 0.69; copeptin: AUC 0.66; MR-proANP: AUC 0.63; NT-proBNP: AUC 0.62). Optimal cut-point for mortality prediction with MR-proADM was 0.94 nmol/L (HR 2.43 [95% CI 1.92-3.06], p < 0.001). Patients with MR-proADM >0.94 nmol/L were older, more often had cancer stage IV, showed reduced performance status, eGFR, haemoglobin, diastolic left ventricular function, and elevated systolic pulmonary artery pressure. CONCLUSION: MR-proADM is an independent predictor of mortality in advanced stage, hospitalized cancer patients without significant CV disease or current infection. The optimal MR-proADM cut-point for mortality prediction was 0.94 nmol/L with hazards for mortality being approximately 2.5 times higher. There was a continuous increase in mortality risk with stepwise increase of MR-proADM concentrations. Elevated concentrations of MR-proADM were also associated with reduced performance status and mildly reduced left ventricular diastolic function as well as higher age and more often cancer stage IV.
No takes yet. Share an insight, caveat, or question.
Anker et al. (2024) conducted a cohort in Advanced cancer (n=442). MR-proADM vs. Lower MR-proADM concentrations was evaluated on All-cause mortality (HR 2.27, 95% CI 1.47-3.50, p=<0.001). In hospitalized patients with advanced cancer without significant cardiovascular disease, MR-proADM was an independent predictor of all-cause mortality (HR 2.27 per 1 ln increase).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: