Predicting short‐term and long‐term mortalities from sepsis in patients who receive allogeneic haematopoietic stem cell transplantation

Author:

Wu Ye‐Jun1234,Liu Hui‐Xin5,Zhu Xiao‐Lu1234,Fu Hai‐Xia1234,He Yun1234,Wang Feng‐Rong1234,Zhang Yuan‐Yuan1234,Mo Xiao‐Dong1234,Han Wei1234,Wang Jing‐Zhi1234,Wang Yu1234,Chen Huan1234,Chen Yu‐Hong1234,Zhao Xiang‐Yu1234ORCID,Chang Ying‐jun1234,Xu Lan‐Ping1234,Liu Kai‐Yan1234,Huang Xiao‐Jun1234ORCID,Zhang Xiao‐Hui1234ORCID

Affiliation:

1. Peking University People's Hospital Peking University Institute of Hematology Beijing China

2. Collaborative Innovation Center of Hematology Peking University Beijing China

3. Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation Beijing China

4. National Clinical Research Center for Hematologic Disease Beijing China

5. Department of Clinical Epidemiology and biostatistics Peking University People's Hospital Beijing China

Abstract

SummaryPatients who receive allogeneic haematopoietic stem cell transplantation (allo‐HSCT) may develop sepsis, which result in a highly intensive care unit admission rate and mortality. Therefore, short‐term and long‐term prognostic models for sepsis after allo‐HSCT are urgently needed. We enrolled patients receiving allo‐HSCT who developed sepsis after allo‐HSCT at Peking University People's Hospital between 2012 and 2021, including 287 patients who received allo‐HSCT in 2018–2021 in the derivation cohort, and 337 patients in 2012–2017 in the validation cohort. Multivariate logistic regression analysis was used to identify prognostic factors, and these identified factors were incorporated into two scoring models. Seven independent factors (acute graft‐versus‐host disease (GVHD), chronic GVHD (cGVHD), total bilirubin, lactate dehydrogenase (LDH) and organ dysfunction [renal, lung and heart]) were included in the 6‐month prognostic model, and six factors (cGVHD, C‐reactive protein, LDH, organ dysfunction [lung, neurologic and coagulation]) were included in the 14‐day prognostic model. The area under the receiver operating characteristic curves, calibration plots and decision curve analysis demonstrated the robust predictive performance of the models, better than the Sequential Organ Failure Assessment score. Early identification of patients with high risk of 6‐month and 14‐day death may allow clinicians to provide timely treatments and improve the therapeutic effects.

Funder

Capital Health Research and Development of Special Fund

National Basic Research Program of China

Publisher

Wiley

Subject

Hematology

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