Trajectories of symptom scores and risk of cardiovascular events in the vulnerable phase of heart failure: an analysis using a latent class trajectory model - Scorecard - MDSpire

Symptom Score Patterns and Cardiovascular Event Risk During the Vulnerable Phase Post-Heart Failure Discharge: Insights from a Latent Class Trajectory Analysis

  • By

  • Dan Xiao

  • Yuan Xu

  • Yan Jiang

  • Zhiteng Xiong

  • Qihui Shen

  • Xinglan Sun

  • Xiaoyun Xiong

  • Bing Hu

  • July 20, 2026

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Clinical Scorecard: Symptom Score Patterns and Cardiovascular Event Risk During the Vulnerable Phase Post-Heart Failure Discharge: Insights from a Latent Class Trajectory Analysis

At a Glance

CategoryDetail
ConditionHeart Failure
Key MechanismsSymptom trajectories post-discharge associated with cardiovascular outcomes.
Target PopulationPatients with chronic heart failure post-hospitalization.
Care SettingTertiary hospital in Nanchang, China.

Key Highlights

  • 18.7% of patients experienced major adverse cardiovascular events (MACEs) during follow-up.
  • Four distinct symptom trajectory groups identified: persistently declining, slowly improving, stable-moderate, and stable-high.
  • Persistently declining symptoms associated with higher odds of MACEs (OR = 2.242).
  • Tracking KCCQ trajectories may support early risk stratification.

Guideline-Based Recommendations

Diagnosis

  • Diagnosis of acute exacerbation of chronic HF according to the 2016 ESC Heart Failure Guidelines.

Management

  • Individualized management based on symptom trajectory patterns.

Monitoring & Follow-up

  • Longitudinal follow-up of symptoms using KCCQ at multiple time points.

Risks

  • High risks of rehospitalization and death during the vulnerable phase post-discharge.

Patient & Prescribing Data

1,109 patients with chronic heart failure.

Symptom recovery is heterogeneous; monitoring is crucial for risk stratification.

Clinical Best Practices

  • Utilize latent class trajectory modeling for symptom assessment.
  • Conduct follow-up assessments at multiple time points post-discharge.

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