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December 8, 2025Blood

Trends and ARIMA-based forecast of sepsis-related mortality in chronic lymphocytic leukemia (CLL): A u.S. population-based analysis from 1999 to 2030

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Authors

HTHaseeb TareenAZAli ZubairUMUsman Mazhar

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Overview

Population-based analysis reveals declining sepsis-related mortality in chronic lymphocytic leukemia, suggesting improved infection control strategies are needed.

Key Points

  • To analyze long-term trends and forecast sepsis-related mortality among chronic lymphocytic leukemia patients in the U.S.
  • Utilized CDC WONDER database to identify sepsis-related deaths among CLL patients from 1999 to 2022
  • Conducted age-adjusted mortality rate analyses and Joinpoint regression for trend estimation
  • Applied ARIMA models for forecasting mortality trends through 2030
  • Identified 15,397 sepsis-related deaths among CLL patients from 1999 to 2023
  • Overall age-adjusted mortality rate declined by 17.6%, from 1.7 to 1.4 per million
  • Males showed higher mortality rates than females, with significant gender disparities across the analyzed period.

Cite This Study

Tareen et al. (2025) studied this question.

synapsesocial.com/papers/69362f744fa91c937236e313https://doi.org/10.1182/blood-2025-8052
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Chronic lymphocytic leukemia mortality among u.S adults aged ≥65: A 56-year trend analysis and demographic disparities2025
  2. 2Trends and disparities in mortality from chronic lymphocytic leukemia in the geriatric population in the United States from 1999 to 2020: A nationwide analysis2025
  3. 3Trends in chronic lymphocytic leukemia mortality among patients with pneumonia in the United States (1999–2024): A CDC wonder database analysis2025
  4. 4Mortality trends of chronic lymphocytic leukemia and pneumonia in the United States (1999–2023): A CDC-wonder analysis2025
  5. 5Mortality trends of sepsis in patients with leukemia in the United States (1999–2020): A CDC wonder database analysis2025