Letter to editor: Troponin I/albumin (TBI) index: a new tool for the prediction of mortality in hospitalized patients with traumatic brain injury

Dear Editor, We read the article published by Wang et al[1] with great interest. This study, based on the MIMIC-IV database, proposes the Troponin I/albumin (TBI) Index as a tool to predict mortality risk in hospitalized patients with traumatic brain injury (TBI). The authors have developed a prognostic tool using routine laboratory indicators that is low-cost, easy to promote, and clinically relevant – especially valuable for regions with limited medical resources. Here, we would like to share a few thoughts that may have extended value for reference. This study is compliant with the Transparency In The reporting of Artificial INtelligence guideline[2]. The TBI Index may reflect systemic imbalance throughout the body following acute brain injury. Studies have shown that severe TBI can induce neurogenic myocardial injury and troponin release through excessive activation of the sympathetic nervous system and catecholamine storm[3,4]. Meanwhile, hypoalbuminemia is not only a nutritional indicator but also closely associated with systemic inflammatory response, increased endothelial permeability, and microcirculatory disorders[5]. Therefore, biologically speaking, the TBI Index is more like a comprehensive phenotypic indicator reflecting the intensity of multi-organ stress coupling. This study only used a single test value upon admission, yet TBI is inherently a highly time-dependent dynamic disease. Previous critical care research has demonstrated that the trajectory of biomarker changes often has stronger predictive power than a single baseline value[6].The evolutionary pattern of the TBI Index in dynamic monitoring needs to be further clarified. In summary, the TBI Index proposed by Wang et al as a tool for predicting mortality in TBI patients holds significant innovative value in terms of accessibility, cost-effectiveness, and system integration. We express our gratitude and appreciation for the authors’ efforts in this research. We also thank the authors and the editorial team again for their contributions to the development of the field and look forward to the innovative directions of future studies! The above are just our humble opinions for your reference. We sincerely welcome criticisms and corrections if there are any inadequacies.

Authors

Institutions

Publication Details

Journal
International Journal of Surgery
Published
2026-01-12
DOI
https://doi.org/10.1097/js9.0000000000004806
Primary Topic
Traumatic Brain Injury and Neurovascular Disturbances
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Letter to editor: Troponin I/albumin (TBI) index: a new tool for the prediction of mortality in hospitalized patients with traumatic brain injury

Yuyang Chen, Xiaoming Dai, Xiaonan Li, Bingzi Wu
International Journal of Surgery
Traumatic Brain Injury and Neurovascular Disturbances
article

Letter to editor: Troponin I/albumin (TBI) index: a new tool for the prediction of mortality in hospitalized patients with traumatic brain injury

Yuyang Chen, Xiaoming Dai, Xiaonan Li, Bingzi Wu
article en

Abstract

Dear Editor, We read the article published by Wang et al[1] with great interest. This study, based on the MIMIC-IV database, proposes the Troponin I/albumin (TBI) Index as a tool to predict mortality risk in hospitalized patients with traumatic brain injury (TBI). The authors have developed a prognostic tool using routine laboratory indicators that is low-cost, easy to promote, and clinically relevant – especially valuable for regions with limited medical resources. Here, we would like to share a few thoughts that may have extended value for reference. This study is compliant with the Transparency In The reporting of Artificial INtelligence guideline[2]. The TBI Index may reflect systemic imbalance throughout the body following acute brain injury. Studies have shown that severe TBI can induce neurogenic myocardial injury and troponin release through excessive activation of the sympathetic nervous system and catecholamine storm[3,4]. Meanwhile, hypoalbuminemia is not only a nutritional indicator but also closely associated with systemic inflammatory response, increased endothelial permeability, and microcirculatory disorders[5]. Therefore, biologically speaking, the TBI Index is more like a comprehensive phenotypic indicator reflecting the intensity of multi-organ stress coupling. This study only used a single test value upon admission, yet TBI is inherently a highly time-dependent dynamic disease. Previous critical care research has demonstrated that the trajectory of biomarker changes often has stronger predictive power than a single baseline value[6].The evolutionary pattern of the TBI Index in dynamic monitoring needs to be further clarified. In summary, the TBI Index proposed by Wang et al as a tool for predicting mortality in TBI patients holds significant innovative value in terms of accessibility, cost-effectiveness, and system integration. We express our gratitude and appreciation for the authors’ efforts in this research. We also thank the authors and the editorial team again for their contributions to the development of the field and look forward to the innovative directions of future studies! The above are just our humble opinions for your reference. We sincerely welcome criticisms and corrections if there are any inadequacies.

International Journal of Surgery
Dalian Medical University (CN), First Affiliated Hospital of Dalian Medical University (CN)
Openalex Percentile: Top 88%
Traumatic Brain Injury and Neurovascular Disturbances
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.