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Developing a predictive nomogram for mortality in patients with extrapulmonary acute respiratory distress syndrome: the prognostic value of serum soluble thrombomodulin, lung ultrasound score, and lactate.
Yang, Yang; Wang, Yue; Zhu, Guoguo; Xu, Siya; Liu, Jie; Tang, Zhongzhi.
Afiliación
  • Yang Y; Department of Intensive Care Unit, Hefei BOE Hospital Co., Ltd., Hefei, Anhui, China.
  • Wang Y; Department of Science and Education, Hefei BOE Hospital Co., Ltd., Hefei, Anhui, China.
  • Zhu G; Department of Emergency, Central Theater General Hospital of the People's Liberation Army of China, Wuhan, Hubei, China.
  • Xu S; Department of Emergency, Central Theater General Hospital of the People's Liberation Army of China, Wuhan, Hubei, China.
  • Liu J; Department of Intensive Care Unit, Hefei BOE Hospital Co., Ltd., Hefei, Anhui, China.
  • Tang Z; Department of Emergency, Central Theater General Hospital of the People's Liberation Army of China, Wuhan, Hubei, China.
Front Pharmacol ; 15: 1407825, 2024.
Article en En | MEDLINE | ID: mdl-39257391
ABSTRACT

Objective:

This study aimed to elucidate the prognostic significance of serum soluble thrombomodulin (sTM), lung ultrasound score (LUS), and lactate levels in patients with extrapulmonary acute respiratory distress syndrome (ARDS), with the goal of refining mortality risk prediction in this cohort.

Methods:

In a prospective cohort of 95 patients with extrapulmonary ARDS admitted to the intensive care unit, we investigated the primary endpoint of 28-day mortality. Utilizing Lasso-Cox regression analysis, we identified independent prognostic factors for mortality. A predictive nomogram was developed incorporating these factors, and its performance was validated through several statistical measures, including the consistency index, calibration plot, internal validation curve, decision curve analysis, interventions avoided analysis, receiver operating characteristic curve analysis, and Kaplan-Meier survival analysis. We further conducted a subgroup analysis to examine the impact of prone positioning on patient outcomes.

Results:

The study identified baseline serum sTM, LUS, and lactate levels as independent predictors of 28-day mortality in extrapulmonary ARDS patients. The predictive nomogram demonstrated superior prognostic accuracy compared to the use of sTM, LUS, or lactate levels alone, and outperformed traditional prognostic tools such as the Acute Physiology and Chronic Health Evaluation II score and the partial pressure of arterial oxygen to fractional inspired oxygen ratio. The subgroup analysis did not show a significant impact of prone positioning on the predictive value of the identified biomarkers.

Conclusion:

Our study results support the development and validation of a novel prognostic nomogram that integrates key clinical biomarkers and ultrasound imaging scores to predict mortality in patients with extrapulmonary ARDS. While our research is preliminary, further studies and validation are required.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Pharmacol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Pharmacol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza