Dataset Information

Long-term cumulative high-sensitivity cardiac troponin T and mortality among patients with acute heart failure.

ABSTRACT:

Aims

This study aimed to evaluate the cumulative high-sensitivity cardiac troponin T (hs-cTNT) from admission to 12 months after discharge and its association with mortality after 12 months among patients with acute heart failure (HF).

Methods

We used data from the China Patient-Centered Evaluative Assessment of Cardiac Events Prospective Heart Failure Study (China PEACE 5p-HF Study), which enrolled patients hospitalized primarily for HF from 52 hospitals between 2016 and 2018. We included patients who survived within 12 months and had hs-cTNT data at admission (within 48 h of admission) and 1 and 12 months after discharge. To evaluate the long-term cumulative hs-cTNT, we calculated cumulative hs-cTNT levels and cumulative times of high hs-cTNT level. Patients were divided into groups according to the quartiles of cumulative hs-cTNT levels (Quartiles 1-4) and cumulative times of high hs-cTNT levels (0-3 times). Multivariable Cox models were constructed to examine the association of cumulative hs-cTNT with mortality during the follow-up period.

Results

We included 1137 patients with a median age of 64 [interquartile range (IQR), 54-73] years; 406 (35.7%) were female. The median cumulative hs-cTNT level was 150 (IQR, 91-241) ng/L*month. Based on the cumulative times of high hs-cTNT levels, 404 (35.5%) patients were with zero time, 203 (17.9%) with one time, 174 (15.3%) with two times, and 356 (31.3%) with three times. During a median follow-up of 4.76 (IQR, 4.25-5.07) years, 303 (26.6%) all-cause deaths occurred. The increasing cumulative hs-cTNT level and cumulative times of high hs-cTNT level were independently associated with excess all-cause mortality. Compared with Quartile 1 group, Quartile 4 had the highest hazard ratio (HR) of all-cause mortality [4.14; 95% confidence interval (CI): 2.51-6.85], followed by Quartile 3 (HR: 3.35; 95% CI: 2.05-5.48) and Quartile 2 (HR: 2.47; 95% CI: 1.49-4.08) groups. Similarly, taking the patients with zero time of high hs-cTNT level as the reference, the HRs were 1.60 (95% CI: 1.05-2.45), 2.61 (95% CI: 1.76-3.87), and 2.86 (95% CI: 1.98-4.14) in patients who had one, two, and three times of high hs-cTNT level, respectively.

Conclusions

Elevated cumulative hs-cTNT from admission to 12 months after discharge was independently associated with mortality after 12 months among patients with acute HF. Repeated measurements of hs-cTNT after discharge may help monitor the cardiac damage and identify patients with high risk of death.

SUBMITTER: Zhang L

PROVIDER: S-EPMC10192250 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

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Publications

Long-term cumulative high-sensitivity cardiac troponin T and mortality among patients with acute heart failure.

Zhang Lihua L He Guangda G Huo Xiqian X Ji Runqing R Tian Aoxi A Pu Boxuan B Lei Lubi L Li Jingkuo J Peng Yue Y

ESC heart failure 20230303 3

<h4>Aims</h4>This study aimed to evaluate the cumulative high-sensitivity cardiac troponin T (hs-cTNT) from admission to 12 months after discharge and its association with mortality after 12 months among patients with acute heart failure (HF).<h4>Methods</h4>We used data from the China Patient-Centered Evaluative Assessment of Cardiac Events Prospective Heart Failure Study (China PEACE 5p-HF Study), which enrolled patients hospitalized primarily for HF from 52 hospitals between 2016 and 2018. We ...[more]

PMID: 36869019

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Project description:Background Elevated hsCRP (high-sensitivity C-reactive protein) level is associated with worse prognosis among patients hospitalized for heart failure. However, the prognostic value of the long-term cumulative hsCRP remains unknown. Methods and Results We consecutively enrolled patients hospitalized for heart failure and collected their hsCRP data at admission and 1 and 12 months after discharge. Long-term cumulative hsCRP was evaluated using 2 approaches, cumulative hsCRP level quartiles and cumulative times of high hsCRP levels. Patients were classified into 4 groups by cumulative hsCRP level quartiles and cumulative times of high hsCRP levels (0- to 3-times: number of times that hsCRP levels were higher than cutoff values at admission or 1 or 12 months), respectively. Multivariable Cox models were used to assess the association of mortality with cumulative hsCRP. A total of 1281 patients were included; the median age was 64 (interquartile range, 54-73) years, and 35.4% were women. Over a 4.8-year (interquartile range, 4.2-5.1) follow-up, 374 (29.2%) patients died. Elevated long-term cumulative hsCRP level was related to higher mortality. Specifically, taking the quartile 1 as the reference, the hazard ratios (HRs) were 1.29 (95% CI, 0.92-1.81) for quartile 2, 1.62 (95% CI, 1.16-2.25) for quartile 3, and 2.38 (95% CI, 1.75-3.23) for quartile 4. Similarly, compared with the patients with 0-times (hsCRP level lower than the cutoff values in all 3 time points) of high hsCRP level, the HRs were 1.36 for 1-time (hsCRP level higher than the cutoff value in one of the 3 time points) (95% CI, 0.92-2.01), 1.95 for 2-times (hsCRP levels higher than the cutoff values in 2 of the 3 time points) (95% CI, 1.34-2.82), and 2.80 for 3-times (hsCRP levels higher than the cutoff values in the 3 time points) (95% CI, 1.97-4.00). Conclusions Increasing long-term cumulative hsCRP level was associated with worse outcomes in patients hospitalized for acute heart failure. Repeated hsCRP measurements could assist physicians in identifying patients with a high risk of death. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02878811.

Project description:AimsHeart failure (HF) with preserved ejection fraction (HFpEF) is associated with cardiovascular (CV) and non-CV events, but long-term risk is poorly studied. We assessed incidence and predictors of the long-term CV and non-CV events.Methods and resultsPatients presenting with acute HF, EF ≥ 45%, and N-terminal pro-brain natriuretic peptide > 300 ng/L were enrolled in the Karolinska-Rennes study in 2007-11 and were reassessed after 4-8 weeks in a stable state. Long-term follow-up was conducted in 2018. The Fine-Gray sub-distribution hazard regression was used to detect predictors of CV and non-CV deaths, investigated separately from baseline acute presentation (demographic data only) and from the 4-8 week outpatient visit (including echocardiographic data). Of 539 patients enrolled [median age 78 (interquartile range: 72-84) years; 52% female], 397 patients were available for the long-term follow-up. Over a median follow-up time from acute presentation of 5.4 (2.1-7.9) years, 269 (68%) patients died, 128 (47%) from CV and 120 (45%) from non-CV causes. Incidence rates per 1000 patient-years were 62 [95% confidence interval (CI) 52-74] for CV and 58 (95% CI 48-69) for non-CV death. Higher age and coronary artery disease (CAD) were independent predictors of CV death, and anaemia, stroke, kidney disease, and lower body mass index (BMI) and sodium concentrations of non-CV death. From the stable 4-8 week visit, anaemia, CAD, and tricuspid regurgitation (>3.1 m/s) were independent predictors of CV death, and higher age of non-CV death.ConclusionsIn patients with acute decompensated HFpEF, over 5 years of follow-up, nearly two-thirds of patients died, half from CV and the other half from non-CV causes. CAD and tricuspid regurgitation were associated with CV death. Stroke, kidney disease, lower BMI, and lower sodium were associated with non-CV death. Anaemia and higher age were associated with both outcomes. [Correction added on 24 March 2023, after first online publication: In the first sentence of the Conclusions, 'two-thirds' has been inserted before 'of patients died...' in this version.].

Dataset Information

Long-term cumulative high-sensitivity cardiac troponin T and mortality among patients with acute heart failure.

Aims

Methods

Results

Conclusions

Publications

Long-term cumulative high-sensitivity cardiac troponin T and mortality among patients with acute heart failure.

Similar Datasets

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