Age-related mortality risk assessment and prognostic factors in postsurgical traumatic brain injury patients: A retrospective cohort study based on the mimic database

Traumatic brain injury (TBI) remains a leading cause of morbidity and mortality worldwide, with surgical intervention being critical for severe cases requiring debridement. Understanding post-surgical mortality risk factors is essential for optimizing patient outcomes and clinical decision-making. To identify demographic, clinical, and laboratory prognostic factors associated with in-hospital mortality in TBI patients following craniotomy for hematoma evacuation (CHE) and develop a predictive model for mortality risk assessment. This retrospective cohort study analyzed 196 TBI patients from the Medical Information Mart for Intensive Care (MIMIC) database (2001-2012) who underwent cranial debridement surgery. Baseline demographics, vital signs, and laboratory parameters were collected. The primary outcome was in-hospital mortality. Age stratification analysis categorized patients into four groups (18-30, 31-50, 51-70, and >71 years). Receiver operating characteristic (ROC) curves and restricted cubic spline analysis were employed to evaluate predictive performance and explore non-linear relationships. : The overall in-hospital mortality rate was 3.1% (6/196 patients). Deceased patients were significantly older than survivors (69.17±20.72 vs 50.98±17.05 years, p=0.011). Patients aged ≥71 years demonstrated a mortality rate of 50.0%, while no deaths occurred in the 18-30 age group. Laboratory findings revealed elevated white blood cell counts (13.32±5.74 vs 9.03±3.78 × 10³/μL, p=0.008) and glucose levels (162.76±56.86 vs 121.71±34.25 mg/dL, p=0.005) in the deceased group. The mortality prediction model achieved an area under the curve (AUC) of 0.796. Restricted cubic spline analysis demonstrated a significant non-linear relationship between age and mortality risk (p<0.001). Advanced age emerged as the most critical prognostic factor for post-surgical TBI mortality, with patients over 71 years at particularly high risk. Elevated inflammatory markers and hyperglycemia were associated with increased mortality.

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Journal
Current Problems in Surgery
Published
2025-08-22
DOI
https://doi.org/10.1016/j.cpsurg.2025.101882
Citations
1
Primary Topic
Traumatic Brain Injury and Neurovascular Disturbances
Type
article
Field-Weighted Citation Impact
1.39
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article

Age-related mortality risk assessment and prognostic factors in postsurgical traumatic brain injury patients: A retrospective cohort study based on the mimic database

Xiaoyan Zhang, Yuli Fu
1 citations
Current Problems in Surgery
Traumatic Brain Injury and Neurovascular Disturbances
1.39
article

Age-related mortality risk assessment and prognostic factors in postsurgical traumatic brain injury patients: A retrospective cohort study based on the mimic database

Xiaoyan Zhang, Yuli Fu
article en
1 citations

Abstract

Traumatic brain injury (TBI) remains a leading cause of morbidity and mortality worldwide, with surgical intervention being critical for severe cases requiring debridement. Understanding post-surgical mortality risk factors is essential for optimizing patient outcomes and clinical decision-making. To identify demographic, clinical, and laboratory prognostic factors associated with in-hospital mortality in TBI patients following craniotomy for hematoma evacuation (CHE) and develop a predictive model for mortality risk assessment. This retrospective cohort study analyzed 196 TBI patients from the Medical Information Mart for Intensive Care (MIMIC) database (2001-2012) who underwent cranial debridement surgery. Baseline demographics, vital signs, and laboratory parameters were collected. The primary outcome was in-hospital mortality. Age stratification analysis categorized patients into four groups (18-30, 31-50, 51-70, and >71 years). Receiver operating characteristic (ROC) curves and restricted cubic spline analysis were employed to evaluate predictive performance and explore non-linear relationships. : The overall in-hospital mortality rate was 3.1% (6/196 patients). Deceased patients were significantly older than survivors (69.17±20.72 vs 50.98±17.05 years, p=0.011). Patients aged ≥71 years demonstrated a mortality rate of 50.0%, while no deaths occurred in the 18-30 age group. Laboratory findings revealed elevated white blood cell counts (13.32±5.74 vs 9.03±3.78 × 10³/μL, p=0.008) and glucose levels (162.76±56.86 vs 121.71±34.25 mg/dL, p=0.005) in the deceased group. The mortality prediction model achieved an area under the curve (AUC) of 0.796. Restricted cubic spline analysis demonstrated a significant non-linear relationship between age and mortality risk (p<0.001). Advanced age emerged as the most critical prognostic factor for post-surgical TBI mortality, with patients over 71 years at particularly high risk. Elevated inflammatory markers and hyperglycemia were associated with increased mortality.

Current Problems in SurgeryVol. 72
Second People’s Hospital of Yibin (CN)
Good health and well-being
Openalex Percentile: Top 16%
Traumatic Brain Injury and Neurovascular Disturbances
1.39
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