ArticleScientific reports2022
Baseline predictors of in-hospital mortality after acute traumatic spinal cord injury: data from a level I trauma center.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Article
- Predictors of In-Hospital Mortality After Operative Cervical Spinal Cord Injury: A National Trauma Data Bank Analysis From 2021 to 2023.Global spine journal · 2026Article
- Development of a nomogram to predict in-hospital mortality of trauma patients in the ICU: an analysis of the MIMIC-IV database.Scientific reports · 2026Article
- Modeling trajectories of routine blood tests as dynamic biomarkers for outcome in spinal cord injury.NPJ digital medicine · 2025Article
- Spinal cord injury-induced metabolic impairment and steatohepatitis develops in non-obese rats and is exacerbated by premorbid obesity.Experimental neurology · 2024Article
- Quality of in-hospital care in traumatic spinal column and cord injuries (TSC/SCI) in I.R Iran.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024Review
- System failure: Systemic inflammation following spinal cord injury.European journal of immunology · 2024Review
- The spinal cord injury-induced immune deficiency syndrome: results of the SCIentinel study.Brain : a journal of neurology · 2023Article
- Assessment of the incremental prognostic value from the modified frailty index-5 in complete traumatic cervical spinal cord injury.Scientific reports · 2023Article
- Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Comorbidity scores are important predictors of in-hospital mortality after traumatic spinal cord injury (tSCI), but the impact of specific pre-existing diseases is unknown. This retrospective cohort study aims at identifying relevant comorbidities and explores the influence of end-of-life decisions. In-hospital mortality of all patients admitted to the study center after acute tSCI from 2011 to 2017 was assessed. A conditional inference tree analysis including baseline data, injury characteristics, and Charlson Comorbidity Index items was used to identify crucial predictors. End-of-life decisions were recorded. Three-hundred-twenty-one patients were consecutively enrolled. The median length of stay was 95.7 days (IQR 56.8-156.0). During inpatient care, 20 patients (6.2%) died. These patients were older (median: 79.0 (IQR 74.7-83.2) vs. 55.5 (IQR 41.4-72.3) years) and had a higher Charlson Comorbidity Index score (median: 4.0 (IQR 1.75-5.50) vs. 0.0 (IQR 0.00-1.00)) compared to survivors. Pre-existing kidney or liver disease were identified as relevant predictors of in-hospital mortality. End-of-life decisions were observed in 14 (70.0%) cases. The identified impairment of kidney and liver, important for drug metabolism and elimination, points to the need of careful decisions on pharmaceutical treatment regimens after tSCI. Appropriate reporting of end-of-life decisions is required for upcoming studies.
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