# The value of sequential organ failure assessment and its dynamic changes in predicting mortality in hematology intensive care unit

**Authors:** 佳婧 王, 建 张, 斌 张, 云聪 曹, 怡麟 郭, 沛然 于, 晓庆 张, 晓娟 张, 毅军 宋

PMC · DOI: 10.3760/cma.j.cn121090-20241130-00510 · Chinese Journal of Hematology · 2025-01-01

## TL;DR

This study shows that SOFA scores and their changes can predict mortality in critically ill blood disease patients in intensive care units.

## Contribution

The study demonstrates the predictive value of dynamic SOFA score changes in mortality risk for hematology ICU patients.

## Key findings

- SOFA scores and ΔSOFA on days 1–3 significantly predicted mortality in HCU patients.
- ΔSOFA on day 1 showed the highest sensitivity for predicting death.
- SOFA scores on day 3 had the highest specificity for predicting mortality.

## Abstract

探讨序贯器官衰竭评估（SOFA）评分及其动态变化（ΔSOFA）在血液重症监护病房（HCU）中预测死亡率的价值。

回顾性收集2024年5月至2024年6月中国医学科学院血液病医院重症医学诊疗中心收治的79例血液病危重症患者的临床数据，计算患者自住院于HCU前2 d至后3 d的SOFA评分及ΔSOFA。应用受试者工作特征曲线（ROC）研究SOFA评分及ΔSOFA在死亡率预测中的价值。

79例患者的HCU死亡率为54.4％。死亡组全体患者、白血病患者和造血干细胞移植（HSCT）患者住院第1～3天SOFA（D_1、D_2、D_3）评分和第1天ΔSOFA（ΔD_1）均较非死亡组明显增高（P值均<0.05）。ROC曲线分析显示，D_1、D_2、D_3评分和ΔD_1均可预测患者死亡率（P<0.001），曲线下面积（AUC）分别为0.786、0.866、0.901、0.843，灵敏度分别为74.36％、57.89％、62.85％、86.84％，特异度分别为70.00％、100％、100％、67.65％。HSCT组中，D_-1、D_1、D_2、D_3评分和ΔD_1均可预测HCU死亡率，AUC分别为0.833、0.794、0.871、0.846、0.795；灵敏度分别为100％、85.71％、71.43％、57.14％、57.14％；特异度分别为73.33％、70.59％、91.33％、100％、100％。白血病组中，D_1、D_2、D_3评分和ΔD_1可预测HCU死亡率，AUC分别为0.760、0.829、0.846、0.756；灵敏度分别为71.43％、78.57％、53.85％、71.43％；特异度分别为76.19％、78.95％、100％、63.16％。对于全体患者，D_3评分特异度最高，ΔD_1灵敏度最高。对于HSCT组和白血病组患者，D_1和D_3评分的灵敏度及特异度均高于ΔD_1。

对于住院于HCU的血液危重症、白血病和HSCT患者，D_1、D_2、D_3评分和ΔD_1与HCU死亡率明显相关。

## Linked entities

- **Diseases:** leukemia (MONDO:0004355)

## Full-text entities

- **Diseases:** death (MESH:D003643), critically ill (MESH:D016638), Blood Diseases (MESH:D006402), leukemia (MESH:D007938), SOFA (MESH:D009102)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

30 references — full list in the complete paper: https://tomesphere.com/paper/PMC11886445/full.md

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Source: https://tomesphere.com/paper/PMC11886445