Troponin T in acute heart failure: clinical implications and prognosis in the Spanish National Registry on Heart Failure

Elevated level of high-sensitivity cardiac troponin I as a predictor of adverse cardiovascular events in patients with heart failure with preserved ejection fraction

BACKGROUND

The relationship between the elevation of cardiac troponin and the increase of mortality and hospitalization rate in patients with heart failure with reduced ejection fraction is clear. This study investigated the association between the extent of elevated levels of high-sensitivity cardiac troponin I (hs-cTnI) and the prognosis in heart failure with preserved ejection fraction patients.

METHODS

A retrospective cohort study consecutively enrolled 470 patients with heart failure with preserved ejection fraction from September 2014 to August 2017. According to the level of hs-cTnI, the patients were divided into the elevated level group (hs-cTnI >0.034 ng/mL in male and hs-cTnI >0.016 ng/mL in female) and the normal level group. All of the patients were followed up once every 6 months. Adverse cardiovascular events were cardiogenic death and heart failure hospitalization.

RESULTS

The mean follow-up period was 36.2 ± 7.9 months. Cardiogenic mortality (18.6% [26/140] vs. 1.5% [5/330], P <0.001) and heart failure (HF) hospitalization rate (74.3% [104/140] vs. 43.6% [144/330], P <0.001) were significantly higher in the elevated level group. The Cox regression analysis showed that the elevated level of hs-cTnI was a predictor of cardiogenic death (hazard ratio [HR]: 5.578, 95% confidence interval [CI]: 2.995-10.386, P <0.001) and HF hospitalization (HR: 3.254, 95% CI: 2.698-3.923, P <0.001). The receiver operating characteristic curve demonstrated that a sensitivity of 72.6% and specificity of 88.8% for correct prediction of adverse cardiovascular events when a level of hs-cTnI of 0.1305 ng/mL in male and a sensitivity of 70.6% and specificity of 90.2% when a level of hs-cTnI of 0.0755 ng/mL in female were used as the cut-off value.

CONCLUSION

Significant elevation of hs-cTnI (≥0.1305 ng/mL in male and ≥0.0755 ng/mL in female) is an effective indicator of the increased risk of cardiogenic death and HF hospitalization in heart failure with preserved ejection fraction patients.

Prediction of hospital mortality in mechanically ventilated patients with congestive heart failure using machine learning approaches

BACKGROUND

Mechanically ventilated patients with congestive heart failure (CHF) are at high-risk of mortality. We aimed to develop and validate a prediction model based on machine learning (ML) algorithms to predict hospital mortality in mechanically ventilated patients with CHF.

METHODS

Least absolute shrinkage and selection operator (LASSO) regression was used to identify the key features. Hyperparameters optimization (HPO) was conducted to modify the prediction model. The area under the receiver operating characteristic curve (AUC), accuracy, calibration curve and decision curve analysis were used to evaluate prediction performance. The final model was validated using an external validation set from another database. The prediction results were represented by a nomogram.

RESULTS

A total of 4530 qualified patients were included. Among 11 ML-algorithms, CatBoost showed the best prediction performance (AUC = 0.833). And 10 key features (10/63) were selected based on the LASSO regression. After HPO, the prediction performance of the CatBoost model based on the key features was significantly improved (AUCs: 0.805 vs. 0.821). Additionally, the CatBoost model also showed the satisfactory prediction performance in the external validation set (AUC = 0.806).

CONCLUSION

The present study developed and validated a CatBoost model, which could accurately predict hospital mortality in mechanically ventilated patients with CHF.

Prognostic importance of emerging cardiac, inflammatory, and renal biomarkers in chronic heart failure patients with reduced ejection fraction and anaemia: RED-HF study

Aims

To test the prognostic value of emerging biomarkers in the Reduction of Events by Darbepoetin Alfa in Heart Failure (RED‐HF) trial.

Methods and results

Circulating cardiac [N‐terminal pro‐B‐type natriuretic peptide (NT‐proBNP), and high‐sensitivity troponin T (hsTnT)], neurohumoral [mid‐regional pro‐adrenomedullin (MR‐proADM) and copeptin], renal (cystatin C), and inflammatory [high‐sensitivity C‐reactive protein (hsCRP)] biomarkers were measured at randomization in 1853 participants with complete data. The relationship between these biomarkers and the primary composite endpoint of heart failure hospitalization or cardiovascular death over 28 months of follow‐up (n = 834) was evaluated using Cox proportional hazards regression, the c‐statistic and the net reclassification index (NRI). After adjustment, the hazard ratio (HR) for the composite outcome in the top tertile of the distribution compared to the lowest tertile for each biomarker was: NT‐proBNP 3.96 (95% CI 3.16–4.98), hsTnT 3.09 (95% CI 2.47–3.88), MR‐proADM 2.28 (95% CI 1.83–2.84), copeptin 1.66 (95% CI 1.35–2.04), cystatin C 1.92 (95% CI 1.55–2.37), and hsCRP 1.51 (95% CI 1.27–1.80). A basic clinical prediction model was improved on addition of each biomarker individually, most strongly by NT‐proBNP (NRI +62.3%, P < 0.001), but thereafter was only improved marginally by addition of hsTnT (NRI +33.1%, P = 0.004). Further addition of biomarkers did not improve discrimination further. Findings were similar for all‐cause mortality.

Conclusion

Once NT‐proBNP is included, only hsTnT moderately further improved risk stratification in this group of chronic heart failure with reduced ejection fraction patients with moderate anaemia. NT‐proBNP and hsTnT far outperform other emerging biomarkers in prediction of adverse outcome.

Persistent increase in cardiac troponin T at hospital discharge predicts repeat hospitalization in patients with acute decompensated heart failure

Background

High-sensitive cardiac troponin T (hsTnT) is a sensitive biomarker of myocardial damage and predictor of acute decompensated heart failure (ADHF). However, there is little information on changes over time in hsTnT level during ADHF management. The aim of this prospective study was to evaluate changes in hsTnT levels between admission and at discharge in patients with ADHF, and identify factors that determine such levels and their prognostic significance.

Methods and results

We evaluated 404 ADHF patients with abnormal hsTnT levels (≥0.0135 ng/ml) on admission. The median (interquartile ranges) hsTnT levels on admission, at discharge, and percent changes in hsTnT levels were 0.038 (0.026 to 0.065), 0.032 (0.021 to 0.049) ng/ml, and -12.0 (-39.8 to 7.4) % respectively. The numbers of patients with falling (hsTnT decrease > -15%), stable (hsTnT change between -15 and +15%) and rising (hsTnT increase > +15%) hsTnT level at discharge were 190, 146, and 68, respectively. The percent change in B-type natriuretic peptide (BNP) levels was greater in the falling group, compared to the stable (p<0.001) and rising groups (p<0.001). Changes in hsTnT levels correlated significantly with changes in BNP levels (ρ = 0.22, p<0.001). Multivariate Cox regression analysis identified rising or stable hsTnT at discharge as a significant predictor of heart failure-related rehospitalization (hazard ratio: 1.69; 95% confidence interval: 1.06 to 2.70; p = 0.03).

Conclusions

Persistent increase in hsTnT levels at discharge correlated with inadequate decrease of BNP levels, and was a predictor of poor clinical outcome, with repeat heart failure hospitalizations.

Cardiac troponin in patients hospitalized with acute decompensated heart failure: A systematic review and meta-analysis

BACKGROUND

Elevated cardiac troponin (cTn) is often observed in patients with acute decompensated heart failure (ADHF). We assessed the magnitude of association and quality of supporting evidence between cTn and clinically important outcomes in persons hospitalized for ADHF.

METHODS

We searched MEDLINE In-Process & Other Non-Indexed Citations, MEDLINE, Embase, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and Scopus from inception through February 28, 2015. The outcomes analyzed included hospital length of stay (LOS), readmissions, and mortality. Random effects meta-analysis was used to combine outcomes across studies.

RESULTS

We included 26 clinical studies. A detectable or elevated cTn was associated with increased LOS (odds ratio [OR]: 1.05; 95% confidence interval [CI]: 1.01-1.10), increased in-hospital mortality (OR: 2.57; 95% CI: 2.27-2.91), and a composite of mortality and major adverse events (OR: 1.33; 95% CI: 1.03-1.71) during hospitalization. ADHF patients with a detectable or elevated cTn were at increased risk for mortality and composite of mortality and readmission over the short term (mortality OR: 2.11; 95% CI: 1.43-3.12; composite OR: 2.81; 95% CI: 1.60-4.92), intermediate term (mortality OR: 2.21; 95% CI: 1.46-3.35; composite OR: 2.30; 95% CI: 1.78-2.99), and long term (mortality OR: 3.69; 95% CI: 2.64-5.18; composite OR: 3.49; 95% CI: 2.08-5.84). The overall confidence in estimates was moderate.

CONCLUSIONS

Among ADHF patients, a detectable or elevated cTn identifies subjects at increased risk for adverse clinical outcomes during acute hospitalization and those at higher risk for postdischarge mortality and composite of readmission and mortality. Journal of Hospital Medicine 2016;11:446-454. 2016 Society of Hospital Medicine.