Evidence map›Paper›PMID 40417677›Full record

ArticleFrontiers in medicine2025

Influence of age-adjusted shock index trajectories on 30-day mortality for critical patients with septic shock.

Suru Yue, Xuefei Hou, Yingbai Wang, Zihan Xu, Xiaolin Li, Jia Wang, Shicai Ye, Jiayuan Wu

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Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Suru Yue *Clinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Xuefei Hou *Clinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Yingbai WangClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Zihan XuClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Xiaolin LiClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Jia WangClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Shicai YeDepartment of Gastroenterology, Clinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Jiayuan WuClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Septic shock poses a high mortality risk in critically ill patients, necessitating precise hemodynamic monitoring. While the age-adjusted shock index (ASI) reflects hemodynamic stability, the prognostic value of its dynamic trajectory remains unexplored. This study evaluates whether dynamic 24-h ASI trajectories predict 30-day mortality in septic shock patients. Methods: This retrospective cohort study extracted data from the MIMIC-IV (derivation cohort, Result: Three distinct ASI trajectories were explored: persistently low (Classes 1), initial high ASI sharply decreasing followed by instability (Classes 2), and steady ASI increase (Classes 3). KM curve revealed significantly higher 30-day mortality in Class 2 (32.1%) and Class 3 (38.7%) than Class 1 (12.3%) ( Conclusion: Dynamic 24-h ASI trajectories independently predict 30-day mortality in patients with septic shock, with unstable or rising patterns signaling high-risk subgroups. This underscores the clinical utility of real-time ASI monitoring for early risk stratification and tailored intervention.

Indexed as

age-adjusted shock indexcritical care patientslatent category trajectory modelmortality riskseptic shock

Identifiers

PMID40417677
PMCPMC12098450

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