scholarly journals Integration of Metabolomic and Clinical Data Improves the Prediction of Intensive Care Unit Length of Stay Following Major Traumatic Injury

Metabolites ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 29
Author(s):  
Animesh Acharjee ◽  
Jon Hazeldine ◽  
Alina Bazarova ◽  
Lavanya Deenadayalu ◽  
Jinkang Zhang ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Length Of Stay ◽  
Major Trauma ◽  
Traumatic Injury ◽  
Scoring Systems ◽  
Glutathione Metabolism ◽  
Trauma Patients ◽  
Post Injury ◽  
Injured Patients

Background: Recent advances in emergency medicine and the co-ordinated delivery of trauma care mean more critically-injured patients now reach the hospital alive and survive life-saving operations. Indeed, between 2008 and 2017, the odds of surviving a major traumatic injury in the UK increased by nineteen percent. However, the improved survival rates of severely-injured patients have placed an increased burden on the healthcare system, with major trauma a common cause of intensive care unit (ICU) admissions that last ≥10 days. Improved understanding of the factors influencing patient outcomes is now urgently needed. Methods: We investigated the serum metabolomic profile of fifty-five major trauma patients across three post-injury phases: acute (days 0–4), intermediate (days 5–14) and late (days 15–112). Using ICU length of stay (LOS) as a clinical outcome, we aimed to determine whether the serum metabolome measured at days 0–4 post-injury for patients with an extended (≥10 days) ICU LOS differed from that of patients with a short (<10 days) ICU LOS. In addition, we investigated whether combining metabolomic profiles with clinical scoring systems would generate a variable that would identify patients with an extended ICU LOS with a greater degree of accuracy than models built on either variable alone. Results: The number of metabolites unique to and shared across each time segment varied across acute, intermediate and late segments. A one-way ANOVA revealed the most variation in metabolite levels across the different time-points was for the metabolites lactate, glucose, anserine and 3-hydroxybutyrate. A total of eleven features were selected to differentiate between <10 days ICU LOS vs. >10 days ICU LOS. New Injury Severity Score (NISS), testosterone, and the metabolites cadaverine, urea, isoleucine, acetoacetate, dimethyl sulfone, syringate, creatinine, xylitol, and acetone form the integrated biomarker set. Using metabolic enrichment analysis, we found valine, leucine and isoleucine biosynthesis, glutathione metabolism, and glycine, serine and threonine metabolism were the top three pathways differentiating ICU LOS with a p < 0.05. A combined model of NISS and testosterone and all nine selected metabolites achieved an AUROC of 0.824. Conclusions: Differences exist in the serum metabolome of major trauma patients who subsequently experience a short or prolonged ICU LOS in the acute post-injury setting. Combining metabolomic data with anatomical scoring systems allowed us to discriminate between these two groups with a greater degree of accuracy than that of either variable alone.

scholarly journals Among Trauma Patients, Younger Men with Ventilator-Associated Pneumonia Have Worse Outcomes Compared to Older Men—An Exploratory Study

Healthcare ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 67
Author(s):  
Duraid Younan ◽  
Sarah Delozier ◽  
Nathaniel McQuay ◽  
John Adamski ◽  
Aisha Violette ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Length Of Stay ◽  
Older Men ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Trauma Patients ◽  
Ventilator Associated Pneumonia ◽  
Icu Stay ◽  
Younger Men

Background: Ventilator-associated pneumonia is associated with significant morbidity. Although the association of gender with outcomes in trauma patients has been debated for years, recently, certain authors have demonstrated a difference. We sought to compare the outcomes of younger men and women to older men and women, among critically ill trauma patients with ventilator-associated pneumonia (VAP). Methods: We reviewed our trauma data base for trauma patients with ventilator-associated pneumonia admitted to our trauma intensive care unit between January 2016 and June 2018. Data collected included demographics, injury mechanism and severity (ISS), admission vital signs and laboratory data and outcome measures including hospital length of stay, ICU stay and survival. Patients were also divided into younger (<50) and older (≥50) to account for hormonal status. Linear regression and binary logistic regression models were performed to compare younger men to older men and younger women to older women, and to examine the association between gender and hospital length of stay (LOS), ICU stay (ICUS), and survival. Results: Forty-five trauma patients admitted to our trauma intensive care unit during the study period (January 2016 to August 2018) had ventilator-associated pneumonia. The average age was 58.9 ± 19.6 years with mean ISS of 18.2 ± 9.8. There were 32 (71.1%) men, 27 (60.0%) White, and 41 (91.1%) had blunt trauma. Mean ICU stay was 14.9 ± 11.4 days and mean total hospital length of stay (LOS) was 21.5 ± 14.6 days. Younger men with VAP had longer hospital LOS 28.6 ± 17.1 days compared to older men 16.7 ± 6.6 days, (p < 0.001) and longer intensive care unit stay 21.6 ± 15.6 days compared to older men 11.9 ± 7.3 days (p = 0.02), there was no significant difference in injury severity (ISS was 22.2 ± 8.4 vs. 17 ± 8, p = 0.09). Conclusions: Among trauma patients with VAP, younger men had longer hospital length of stay and a trend towards longer ICU stay. Further research should focus on the mechanisms behind this difference in outcome using a larger database.

‘Normal’ Vital Signs Belie Occult Hypoperfusion in Geriatric Trauma Patients

2010 ◽  
Vol 76 (1) ◽  
pp. 65-69 ◽  
Author(s):  
Jeremiah T. Martin ◽  
Fuad Alkhoury ◽  
Judith A. O'Connor ◽  
Tassos C. Kyriakides ◽  
John A. Bonadies
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Length Of Stay ◽  
Unit Length ◽  
Vital Signs ◽  
Intensive Care Unit Length ◽  
Hospital Length Of Stay ◽  
Common Finding ◽  
Trauma Patients ◽  
Severity Scores

Base deficit (BD) and lactic acid (LA) are accepted markers of hypoperfusion and predictors of outcome in the trauma patient and we aim to assess the value of these markers in the triage of the elderly with “normal” vital signs. Patients older than age 65 who presented between 1997 and 2004 but who did not have isolated head injuries were included. Three patient groups were established: normal, occult hypoperfusion (OH), and shock. Outcome measures included mortality, hospital length of stay, intensive care unit length of stay, and discharge disposition. One hundred six patients were included in the analysis and had similar Injury Severity Scores. Mean systolic blood pressure was similar in the normal and OH groups. Forty-two per cent of patients had abnormal BD or LA in the emergency room indicating OH. These patients were more likely to have a longer intensive care unit length of stay (8.6 days vs 3 days; P = 0.01) and were also more likely to be discharged to a nursing facility ( P = 0.03). The trend was toward increased mortality in the OH group. OH is a common finding in elderly trauma patients. Outcomes in these patients are different and more like those presenting in shock.

scholarly journals Performance of Prognostic Scoring Systems in Trauma Patients in the Intensive Care Unit of a Trauma Center

2020 ◽  
Vol 17 (19) ◽  
pp. 7226
Author(s):  
Shao-Chun Wu ◽  
Sheng-En Chou ◽  
Hang-Tsung Liu ◽  
Ting-Min Hsieh ◽  
Wei-Ti Su ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Organ Dysfunction ◽  
Scoring Systems ◽  
Predictive Performance ◽  
Apache Ii ◽  
Trauma Patients ◽  
Saps Ii ◽  
Significant Difference ◽  
Prognostic Scoring Systems

Background: Prediction of mortality outcomes in trauma patients in the intensive care unit (ICU) is important for patient care and quality improvement. We aimed to measure the performance of 11 prognostic scoring systems for predicting mortality outcomes in trauma patients in the ICU. Methods: Prospectively registered data in the Trauma Registry System from 1 January 2016 to 31 December 2018 were used to extract scores from prognostic scoring systems for 1554 trauma patients in the ICU. The following systems were used: the Trauma and Injury Severity Score (TRISS); the Acute Physiology and Chronic Health Evaluation (APACHE II); the Simplified Acute Physiology Score (SAPS II); mortality prediction models (MPM II) at admission, 24, 48, and 72 h; the Multiple Organ Dysfunction Score (MODS); the Sequential Organ Failure Assessment (SOFA); the Logistic Organ Dysfunction Score (LODS); and the Three Days Recalibrated ICU Outcome Score (TRIOS). Predictive performance was determined according to the area under the receiver operator characteristic curve (AUC). Results: MPM II at 24 h had the highest AUC (0.9213), followed by MPM II at 48 h (AUC: 0.9105). MPM II at 24, 48, and 72 h (0.8956) had a significantly higher AUC than the TRISS (AUC: 0.8814), APACHE II (AUC: 0.8923), SAPS II (AUC: 0.9044), MPM II at admission (AUC: 0.9063), MODS (AUC: 0.8179), SOFA (AUC: 0.7073), LODS (AUC: 0.9013), and TRIOS (AUC: 0.8701). There was no significant difference in the predictive performance of MPM II at 24 and 48 h (p = 0.37) or at 72 h (p = 0.10). Conclusions: We compared 11 prognostic scoring systems and demonstrated that MPM II at 24 h had the best predictive performance for 1554 trauma patients in the ICU.

scholarly journals Pre-hospital emergency medicine and the trauma intensive care unit

2018 ◽  
Vol 20 (3) ◽  
pp. 242-247
Author(s):  
Emily Frostick ◽  
Christopher Johnson
Keyword(s):  
Intensive Care Unit ◽  
Emergency Medicine ◽  
Intensive Care ◽  
Trauma Care ◽  
Major Trauma ◽  
Trauma Patients ◽  
Care Providers ◽  
Hospital Emergency ◽  
Trauma Networks ◽  
National Training

The system of trauma care has been revolutionised over the last decade with the introduction of major trauma networks across the United Kingdom and the development of subspecialist national training in pre-hospital emergency medicine. Pre-hospital care providers feed trauma patients into trauma units or major trauma centres depending upon the severity of their injuries and their stability for a potentially longer primary transfer to access specialist major trauma services. Trauma services are continually adapting and improving with the introduction of more advanced techniques into the pre-hospital arena are on the horizon, enabling trauma patients to receive more specialised treatment from medical professionals earlier after injury; this article will discuss some of the recent developments within pre-hospital emergency medicine, in-hospital trauma care and on into the intensive care unit, and how this has led to improved outcomes.

A Central Venous Line Protocol Decreases Bloodstream Infections and Length of Stay in a Trauma Intensive Care Unit Population

2009 ◽  
Vol 75 (12) ◽  
pp. 1166-1170 ◽  
Author(s):  
TherÈSe M. Duane ◽  
Holly Brown ◽  
C. Todd Borchers ◽  
Luke G. Wolfe ◽  
Ajai K. Malhotra ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Length Of Stay ◽  
Bloodstream Infections ◽  
Central Venous Line ◽  
Trauma Patients ◽  
Central Venous ◽  
Group 3 ◽  
Group 2 ◽  
Group 1

We evaluated the benefit of a central venous line (CVL) protocol on bloodstream infections (BSIs) and outcome in a trauma intensive care unit (ICU) population. We prospectively compared three groups: Group 1 (January 2003 to June 2004) preprotocol; Group 2 (July 2004 to June 2005) after the start of the protocol that included minimizing CVL use and strict universal precautions; and Group 3 (July 2005 to December 2006) after the addition of a line supply cart and nursing checklist. There were 1622 trauma patients admitted to the trauma ICU during the study period of whom 542 had a CVL. Group 3 had a higher Injury Severity Score (ISS) compared with both Groups 2 and 1 (28.3 ± 13.0 vs 23.5 ± 11.7 vs 22.8 ± 12.0, P = 0.0002) but had a lower BSI rate/1000 line days (Group 1:16.5; Group 2:15.0; Group 3: 7.7). Adjusting for ISS group, three had shorter ICU length of stay (LOS) compared with Group 1 (12.11 ± 1.46 vs 18.16 ± 1.51, P = 0.01). Logistic regression showed ISS ( P = 0.04; OR, 1.025; CI, 1.001-1.050) and a lack of CVL protocol ( P = 0.01; OR, 0.31; CI, 0.13-0.76) to be independent predictors of BSI. CVL protocols decrease both BSI and LOS in trauma patients. Strict enforcement by a nurse preserves the integrity of the protocol.

Survival outcomes after prolonged intensive care unit length of stay among trauma patients: The evidence for never giving up

Surgery ◽  
2016 ◽  
Vol 160 (3) ◽  
pp. 771-780 ◽  
Author(s):  
Mehreen T. Kisat ◽  
Asad Latif ◽  
Cheryl K. Zogg ◽  
Elliott R. Haut ◽  
Syed Nabeel Zafar ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Length Of Stay ◽  
Unit Length ◽  
Intensive Care Unit Length ◽  
Survival Outcomes ◽  
Trauma Patients

Spinal Injury Without Neurological Symptoms in Severely Injured Patients: Impact on the Length of Stay?

2020 ◽  
Author(s):  
Ulrike Fochtmann ◽  
Pascal Jungbluth ◽  
Werner Zimmermann ◽  
Rolf Lefering ◽  
Sven Lendemans ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Risk Factor ◽  
Intensive Care ◽  
Length Of Stay ◽  
Independent Risk Factor ◽  
Spinal Injury ◽  
Neurological Symptoms ◽  
Severely Injured ◽  
Severely Injured Patients ◽  
Injured Patients

Abstract Background The impact of spinal injuries on clinical outcome in most severely injured patients is currently being controversially discussed. At the same time, most of the studies examine patients with post-traumatic neurological disorders. The aim of this study was therefore to analyse severely injured patients with spinal injuries but without neurological symptoms with regard to their clinical outcome. Here the focus was then on the question, whether spinal injury is an independent risk factor increasing length of stay in the intensive care unit and in the hospital in total. Material and Methods Data of the TraumaRegister DGU® were retrospectively analysed. Inclusion criteria were: Injury Severity Score ≥ 16, primary admission, age ≥ 16 years, time interval 2009 – 2016, and a full data set on length of stay in the hospital and the intensive care unit, respectively. Following a univariate analysis in the first step, independent risk factors for the length of stay in the intensive care unit and in the hospital in total were investigated using a multivariate regression analysis. Results 98,240 patients met the inclusion criteria. In this population, patients with Abbreviated Injury Scale (AIS) 2 and 3 spinal injuries were significantly younger (up to 60 years), and injuries were significantly more commonly caused by falls from a great height and traffic accidents (age ≤ 60 years: AISSpine 0: 58.4%, AISSpine 3: 65%; p < 0.001). Multivariate analysis showed that spinal injury without neurological symptoms is an independent risk factor for increased length of stay in the intensive care unit (odds ratio: + 1.1 d) and in the hospital in total (AIS 3 odds ratio: + 3.4 d). Conclusion It has been shown for the first time that spinal injury without initial neurological symptoms has a negative impact on the length of stay of most severely injured patients in the intensive care unit and in the hospital in total and thus represents an independent risk factor in this group of patients.

scholarly journals The trauma burden on a tertiary surgical intensive care unit during the lockdown period in South Africa: A retrospective observational study

Trauma ◽  
2021 ◽  
pp. 146040862110191
Author(s):  
Albert GP van Zyl ◽  
Nadiya Ahmed ◽  
Ryan Davids
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Length Of Stay ◽  
Penetrating Trauma ◽  
Tertiary Hospital ◽  
Surgical Intensive Care Unit ◽  
Trauma Patients ◽  
Surgical Intensive Care ◽  
Time Period ◽  
Alcohol Sales

Background Trauma places a significant burden on scarce South African critical care resources. The impact of the lockdown period in 2020 on these resources has not been studied. Restrictions on citizen movement and alcohol sales during the lockdown period presented a unique time period to investigate the burden of trauma on a low–middle-income country tertiary hospital intensive care unit. Methods A retrospective observational analysis of all patients admitted to a tertiary hospital surgical intensive care unit during the lockdown period in 2020, compared to the same time period in 2019 and 2018. Data were analysed to detect if a significant difference was present in the number of trauma admissions, length of stay and mechanisms of trauma. Results A significant decrease in the number of trauma admissions to ICU in 2020 was observed as compared to 2018 and 2019 during the same period ( p = <0.001), with a reduction of nearly 50%. The incidence of trauma admissions was lower in all individual lockdown levels in 2020 as compared to 2018 and 2019, and the lowest incidence was recorded in level 5 of 2020. There was no difference among the length of stay of trauma patients in ICU in 2018, 2019 and 2020. There was no difference between the incidence of trauma admissions during lockdown level 3 (with and without alcohol sales) in 2020 compared to 2018. The profile of penetrating and non-penetrating trauma over the 3 years was the same ( p = 0.22). There were no interactions between years, lockdown periods and penetrating trauma ( p = 0.22). Interpretation There was a significant decrease in the trauma burden presented to the surgical ICU during the lockdown period in 2020. Levels with the strictest restrictions on movement and alcohol use had the greatest measurable impact. The decreased number of trauma patients admitted in 2020 was comparable to the national trend of decreased trauma numbers recorded in all levels of the national healthcare system.

scholarly journals Use of Penalized Count Regression to Determine Factors Affecting the Length of Stay of Trauma Patients in the Intensive Care Unit

2021 ◽  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Length Of Stay ◽  
Variable Selection ◽  
Oxygen Saturation ◽  
Chest Trauma ◽  
Trauma Patients ◽  
Selection Methods ◽  
Factors Affecting ◽  
The Mean

Background: Trauma is considered an important issue in most countries. Identification of the factors affecting the length of stay (LOS) in the intensive care unit (ICU) plays a crucial role in controlling the costs and complications of prolonged hospitalization. Objectives: This study aimed to identify the factors affecting the LOS of trauma patients in the ICU using stepwise and new penalized variable selection methods in count data regression. Methods: The patients’ information was evaluated in Emtiaz Hospital and Shahid Rajaee trauma center in Shiraz from March 2016 to September 2017. Count regression model was used to determine the factors affecting the LOS of patients in the ICU using penalized variable selection including, Enet, Snet, and Mnet. Results: The mean age of the patients (n=382) was obtained at 36.7±16.7 years, and the majority (88.4%) of the patients were male. The mean LOS in the ICU was determined at 6.2±6.6 days. Mnet with a negative binomial distribution outperformed the other penalized variable selection methods. A Glasgow Coma Scale (GCS) of less than 9 (IRR=1.7), blunt brain trauma (IRR=1.8), chest trauma (IRR=2.2), and oxygen saturation of less than 90 (IRR=1.2) increased the LOS of trauma patients in the ICU. Conclusions: Penalized variable selection methods effectively ignore or control the existing correlations between predictors. Amongst the penalized models, Mnet provided more acceptable results with smaller Akaike information criterion and fewer predictors. According to this penalty, the most important factors affecting the length of stay were chest trauma, blunt brain trauma, GCS, and oxygen saturation rate. Most clinical studies on trauma have also shown the importance of these factors.

Sign in / Sign up

Export Citation Format

Share Document