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May 12, 2026BMC Cardiovascular Disorders0 citationsOpen Access

Impact of heart rate trajectories on mortality in critically Ill patients with atrial fibrillation and heart failure: a longitudinal cohort study

QNQian NiJQJialin QiQWQinghe Wang

Key Result

A progressively increasing heart rate trajectory increased 30-day all-cause mortality risk (HR 2.96) compared to a stable trajectory in ICU patients with atrial fibrillation and heart failure.

Key Points

  • This study aims to explore how different heart rate trajectories affect mortality in critically ill patients suffering from atrial fibrillation and heart failure.
  • Retrospective multicenter cohort study involving 8,356 ICU patients from MIMIC-IV and eICU databases.
  • Utilized Joint Latent Class Model (JLCM) to identify heart rate trajectories over 30 days post-ICU admission.
  • Employed multivariable Cox models to investigate associations between heart rate patterns and 30-day mortality.
  • Heart rates of 80-110 bpm and >110 bpm were associated with adjusted HRs of 1.13 (95% CI: 1.01-1.26) and 1.28 (95% CI: 1.10-1.49) respectively.
  • Patients with a progressively increasing heart rate trajectory had a higher mortality rate (HR = 2.96, 95% CI: 2.24-3.92).
  • Higher mortality was also linked to increasing heart rate variability trajectories (HR = 3.11, 95% CI: 2.40-4.03).

Study Design

Type

Cohort (n=8,356)

Multicenter

Yes

Structured PICO

Are progressively increasing heart rate trajectories associated with higher 30-day all-cause mortality in critically ill patients with atrial fibrillation and heart failure?

P
Population
8,356 critically ill ICU patients with atrial fibrillation and heart failure (AF-HF) from the MIMIC-IV and eICU databases
I
Intervention
Progressively increasing heart rate trajectory and increasing heart rate coefficient of variation (CV) over the first 30 days after ICU admission
C
Comparator
Baseline heart rate < 80 bpm and stable CV patterns
O
Outcome
30-day all-cause mortalityhard clinical

In critically ill patients with atrial fibrillation and heart failure, progressively increasing heart rate and heart rate variability trajectories over the first 30 days are associated with significantly higher short-term mortality.

Main Result

Effect estimate: HR 2.96 (95% CI 2.24-3.92)

Absolute Event Rate: 45.95% vs 18.15%

Limitations

  • Retrospective design precludes causal inference and may be affected by residual confounding
  • Limited to ICU patients, which may reduce generalizability to broader AF-HF populations
  • Lack of NT-proBNP, LVEF, or NYHA class prevented classification of HF subtypes
  • AF subtype could not be reliably categorized
  • Dynamic changes in heart rate may have been influenced by uncaptured treatment-related factors
  • Monitoring intensity varied across patients and over time
  • Marked imbalance in group size and limited number of events in smaller classes
  • Requirement for at least 3 days of heart rate data may have excluded early deaths

Abstract

BACKGROUND: This study investigated the prognostic significance of dynamic heart rate trajectories and heart rate coefficient of variation (CV) in critically ill patients with atrial fibrillation and heart failure (AF-HF). METHODS: This retrospective multicenter cohort study included 8,356 ICU patients with AF-HF from the MIMIC-IV and eICU databases. We applied a Joint Latent Class Model (JLCM), which simultaneously identifies distinct longitudinal heart rate trajectories and estimates their associations with survival, to classify patients into different heart rate trajectory groups over the first 30 days after ICU admission. Multivariable Cox models were used to evaluate the associations between heart rate patterns and 30-day all-cause mortality. A Bayesian joint model was further developed for dynamic risk prediction. RESULTS: Compared with a baseline heart rate 110 bpm. Three distinct heart rate trajectory groups were identified, with a progressively increasing trajectory associated with higher mortality (HR = 2.96, 95% CI: 2.24-3.92). Similarly, patients with increasing heart rate CV trajectories had higher mortality than those with stable CV patterns (HR = 3.11, 95% CI: 2.40-4.03). Subgroup analyses showed significant interactions by renal function and mechanical ventilation status (P for interaction < 0.05). Dynamic prediction models showed improved discrimination with longer observation windows. CONCLUSIONS: Heart rate trajectories were associated with short-term mortality in ICU patients with AF-HF, and similar associations were observed for heart rate variability trajectories in exploratory analyses. These findings suggest that longitudinal heart rate monitoring may have value for short-term risk stratification, although further validation is required.

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Cite This Study

Ni et al. (2026) conducted a cohort in Atrial fibrillation and heart failure (n=8,356). Progressively increasing heart rate trajectory vs. Medium stable heart rate trajectory was evaluated on 30-day all-cause mortality (HR 2.96, 95% CI 2.24-3.92). A progressively increasing heart rate trajectory increased 30-day all-cause mortality risk (HR 2.96) compared to a stable trajectory in ICU patients with atrial fibrillation and heart failure.

synapsesocial.com/papers/6a02c2fdce8c8c81e96404c5https://doi.org/10.1186/s12872-026-05947-x
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