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LETTER

Navigating Sepsis: New Prognostic Tools [Letter]

ORCID Icon & ORCID Icon
Pages 1181-1182 | Received 09 Oct 2023, Accepted 13 Oct 2023, Published online: 17 Oct 2023

Dear editor

We read the article “A New Scoring System for Predicting Mortality in Hematological Malignancies with Sepsis: A Derivation and Validation Study” by Li et al with great interest, which endeavors to carve out a new scoring system to aid clinicians in better predicting 28-day mortality among patients with hematological malignancies (HMs) and sepsis.Citation1 Sepsis, with its impenetrable and multifaceted nature, poses a critical challenge, especially for emergency physicians invoking a complex interplay of immune responses and clinical management.Citation2

Given the heightened susceptibility of patients with HMs to sepsis and their concomitantly elevated risk of mortality, the emphasis on developing a refined, disease-specific prognostic scoring system is pivotal. Exploration into enhancing the established Sequential Organ Failure Assessment score by amalgamating indicators, such as prothrombin time and age, has provided a novel perspective that could potentially optimize the precision of predicting outcomes in this specific patient demographic.

Sepsis has ceaselessly presented a perplexing predicament in emergency medicine and intensive care due to its heterogeneous manifestations and the exigency for timely intervention to mitigate organ dysfunction and other consequential adversities. Particularly in the context of an emergency department, where prompt decision-making is paramount, having a reliable, tailored scoring system for this particular cohort could critically influence clinical decision pathways, enabling clinicians to better strategize interventions and potentially ameliorate outcomes.

The study makes a noteworthy contribution; nevertheless, questions about its generalizability and application in diverse clinical settings loom, given the retrospective, single-center nature of the study design. It begets curiosity regarding how this new scoring system might integrate with, or compare to, other emerging predictive technologies and biomarkers in sepsis, especially in different subsets of patients with varying hematologic disorders or treatment modalities.Citation3,Citation4

Furthermore, the meticulous implementation and validation of this scoring system in a prospective, multi-center trial would be an instrumental next step, offering a more robust assessment of its efficacy and adaptability across varied clinical environments and practices. Moreover, the practicality and ease of use of this scoring system in a fast-paced emergency setting warrant further exploration to ensure its feasibility and utility in real-time clinical decision-making.

In conclusion, Li et al have illuminated a pathway towards more specialized and precise prognostic tools in managing a particularly vulnerable patient demographic grappling with sepsis and HMs. This valuable stride could potentially enhance our current understanding and management of such complex cases, and further research and discussions in this arena are eagerly anticipated.

Disclosure

The authors report no conflicts of interest in this communication.

References

  • Li H, Fan S, Lu D, Zhou J. A new scoring system for predicting mortality in hematological malignancies with sepsis: a derivation and validation study. Cancer Manag Res. 2023;15:1073–1083. doi:10.2147/CMAR.S428930
  • Krishnan K, Wassermann TB, Tednes P, Bonderski V, Rech MA. Beyond the bundle: clinical controversies in the management of sepsis in emergency medicine patients. Am J Emerg Med. 2022;51:296–303. doi:10.1016/j.ajem.2021.11.003
  • Ling H, Chen M, Dai J, Zhong H, Chen R, Shi F. Evaluation of qSOFA combined with inflammatory mediators for diagnosing sepsis and predicting mortality among emergency department. Clin Chim Acta. 2023;544:117352. doi:10.1016/j.cca.2023.117352
  • Schertz AR, Smith SA, Lenoir KM, Thomas KW. Clinical impact of a sepsis alert system plus electronic sepsis navigator using the epic sepsis prediction model in the emergency department. J Emerg Med. 2023;64(5):584–595. doi:10.1016/j.jemermed.2023.02.025