scholarly journals Factors affecting mortality in major trauma patients in Trinidad and Tobago – A view from the developing world

Trauma ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 220-228
Author(s):  
Saleem Varachhia ◽  
Vidya Ramcharitar Maharaj ◽  
Joanne F Paul ◽  
Paula Robertson ◽  
Paula Nunes ◽  
...  
Keyword(s):  
Injury Severity Score ◽  
Trinidad And Tobago ◽  
Severity Score ◽  
Major Trauma ◽  
Injury Severity ◽  
Developing World ◽  
Motor Vehicle ◽  
Motor Vehicle Accidents ◽  
Trauma Patients ◽  
Vehicle Accidents

Introduction There are few data on major trauma in the developing world. This study investigated the characteristics and outcomes of seriously injured patients in Trinidad and Tobago, using Trauma and Injury Severity Score (TRISS) methodology. We also aimed to assess the predictive accuracy of the TRISS model in patients in Trinidad and Tobago. Methods Retrospective data from major trauma patients attending the Emergency Department of a tertiary hospital in Trinidad between 2010 and 2014 were analysed. Patients ≥18 years having an Injury Severity Score >15 were included. The impact of age, gender, comorbidities, mechanisms and patterns of injury on mortality was investigated. Using TRISS methodology, predicted mortality was calculated and compared to actual mortality. Results Of 323 patients analysed, 284 were male and 24 were aged ≥65 years. The commonest injury mechanisms in younger people were motor vehicle accidents (34.1%) and stabbings (30.8%) compared to falls (66.7%) and motor vehicle accidents (20.8%) in people aged ≥65 years. The commonest areas injured were the chest in younger patients (81.9%) and the head and neck in patients aged ≥65 years (58.3%). Women’s mortality rates were similar to men (RR 1.8; 95% CI 0.7–4.9). Mortality was higher with age ≥65 years (RR 7.0; 95% CI 3.1–15.9), blunt trauma (RR 7.6; 95% CI 1.8–32.4) and Charlson Comorbidity Index of 1 or more (RR 3.2; 95% CI 1.3–8.0). The TRISS model performed well at lower ISS scores and was excellent at predicting survival (discrimination statistic 0.94). Conclusion Multiple factors influence mortality in major trauma patients in Trinidad and Tobago, including age, co-morbidities and injury mechanism. TRISS methodology accurately predicted survival in this population but was better at predicting mortality in patients with lower Injury Severity Score.

scholarly journals Frailty and length of stay in older adults with blunt injury in a national multicentre prospective cohort study

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250803
Author(s):  
Timothy Xin Zhong Tan ◽  
Nivedita V. Nadkarni ◽  
Wei Chong Chua ◽  
Lynette Ma Loo ◽  
Philip Tsau Choong Iau ◽  
...  
Keyword(s):  
Cohort Study ◽  
Length Of Stay ◽  
Injury Severity Score ◽  
Severity Score ◽  
Injury Severity ◽  
Motor Vehicle ◽  
Motor Vehicle Accidents ◽  
Index Admission ◽  
Blunt Injury ◽  
Vehicle Accidents

Background Patients suffering moderate or severe injury after low falls have higher readmission and long-term mortality rates compared to patients injured by high-velocity mechanisms such as motor vehicle accidents. We hypothesize that this is due to higher pre-injury frailty in low-fall patients, and present baseline patient and frailty demographics of a prospective cohort of moderate and severely injured older patients. Our second hypothesis was that frailty was associated with longer length of stay (LOS) at index admission. Methods This is a prospective, nation-wide, multi-center cohort study of Singaporean residents aged ≥55 years admitted for ≥48 hours after blunt injury with an injury severity score or new injury severity score ≥10, or an Organ Injury Scale ≥3, in public hospitals from 2016–2018. Demographics, mechanism of injury and frailty were recorded and analysed by Chi-square, or Kruskal-Wallis as appropriate. Results 218 participants met criteria and survived the index admission. Low fall patients had the highest proportion of frailty (44, 27.3%), followed by higher level fallers (3, 21.4%) and motor vehicle accidents (1, 2.3%) (p < .01). Injury severity, extreme age, and surgery were independently associated with longer LOS. Frail patients were paradoxically noted to have shorter LOS (p < .05). Conclusion Patients sustaining moderate or severe injury after low falls are more likely to be frail compared to patients injured after higher-velocity mechanisms. However, this did not translate into longer adjusted LOS in hospital at index admission.

Predictors of blunt diaphragm injury in Australia

Trauma ◽  
2021 ◽  
pp. 146040862110418
Author(s):  
Annelise M Cocco ◽  
Vignesh Ratnaraj ◽  
Benjamin PT Loveday ◽  
Kellie Gumm ◽  
Phillip Antippa ◽  
...  
Keyword(s):  
Injury Severity Score ◽  
Severity Score ◽  
Major Trauma ◽  
Injury Severity ◽  
Rib Fractures ◽  
Organ Injury ◽  
Trauma Patients ◽  
Missed Injury ◽  
Diaphragm Injury ◽  
Trauma Service

Introduction Blunt diaphragm injury (BDI) is an uncommon, potentially fatal consequence of blunt torso injury. While associations between BDI and other factors such as mechanism of injury or other injuries have been described elsewhere, little recent research has been done in Australia into BDI. The aims of this study were to determine the incidence rate of BDI in our centre, identify how it was diagnosed, determine rates of missed injury and identify predictive factors for BDI. The hypothesis was that patients with BDI would significantly differ to those without BDI. Methods All major trauma patients with blunt torso injuries at our Level 1 major trauma service from 2010 to 2018 were included. Data for patient demographics, other injuries, diagnosis and treatment of BDI were extracted. Patients with BDI were compared with patients without BDI in order to identify differences that could be used to predict BDI in future patients. Results Of 5190 patients with a blunt torso injury, 51 (0.98%) had a BDI at a mean age of 53 ± 19.6 years, and median Injury Severity Score (ISS) of 27(IQR 21–38.5) compared with 5139 patients with a mean age of 48.2 ± 20.7 years and median ISS of 21.9(IQR 14–26) who did not have a BDI. The diagnosis of BDI was made at CT ( n = 35), surgery ( n = 14) or autopsy ( n = 2). Blunt diaphragm injury was missed on index imaging for 11 of 43 patients (25.6%). On multivariate analysis, each point increase in ISS (OR 1.03, p = 0.02); rib fractures (OR 4.65, p = 0.004); splenic injury (OR 2.60, p = 0.004); and liver injury (OR 2.78, p = 0.003) were independently associated with BDI. Conclusion Injury Severity Score, rib fractures and solid abdominal organ injury increase the likelihood of BDI. In patients with these injuries, BDI should be considered even in the presence of normal CT findings.

Injury Severity Score alone predicts mortality when compared to EMS scene time and transport time for motor vehicle trauma patients who arrive alive to hospital

2018 ◽  
Vol 19 (sup2) ◽  
pp. S167-S168 ◽  
Author(s):  
Rachel Lovely ◽  
Andrew Trecartin ◽  
Gabe Ologun ◽  
Alexander Johnston ◽  
Sergy Svintozelskiy ◽  
...  
Keyword(s):  
Injury Severity Score ◽  
Severity Score ◽  
Injury Severity ◽  
Motor Vehicle ◽  
Trauma Patients ◽  
Transport Time

Relationship between the Injury Severity Score and the need for life-saving interventions in trauma patients in the UK

2020 ◽  
pp. emermed-2019-209092
Author(s):  
James Vassallo ◽  
Gordon Fuller ◽  
Jason E Smith
Keyword(s):  
Injury Severity Score ◽  
Severity Score ◽  
Major Trauma ◽  
Injury Severity ◽  
Research Network ◽  
Trauma Patients ◽  
Traditional Definition ◽  
Life Saving ◽  
Clinically Significant ◽  
The Uk

IntroductionMajor trauma is the third leading cause of avoidable mortality in the UK. Defining which patients require care in a major trauma centre is a critical component of developing, evaluating and enhancing regional major trauma systems. Traditionally, trauma patients have been classified using the Injury Severity Score (ISS), but resource-based criteria have been proposed as an alternative. The aim of this study was to investigate the relationship between ISS and the use of life-saving interventions (LSI).MethodsRetrospective cohort study using the Trauma Audit Research Network database for all adult patients (aged ≥18 years) between 2006 and 2014. Patients were categorised as needing an LSI if they received one or more interventions from a previously defined list determined by expert consensus.Results193 290 patients met study inclusion criteria: 56.9% male, median age 60.0 years (IQR 41.2–78.8) and median ISS 9 (IQR 9–16). The most common mechanism of injury was falls <2 m (52.1%), followed by road traffic collisions (22.2%). 15.1% received one or more LSIs. The probability of a receiving an LSI increased with increasing ISS, but only a low to moderate correlation was evident (0.334, p<0.001). A clinically significant number of cases (5.3% and 7.6%) received an LSI despite having an ISS ≤8 or <15, respectively.ConclusionsA clinically significant number of adult trauma patients requiring LSIs have an ISS below the traditional definition of major trauma. The traditional definition should be reconsidered and either lowered, or an alternative metric should be used.

scholarly journals The role of the New Trauma and Injury Severity Score (NTRISS) for survival prediction

2011 ◽  
Vol 45 (6) ◽  
pp. 1353-1358 ◽  
Author(s):  
Cristiane de Alencar Domingues ◽  
Regina Marcia Cardoso de Sousa ◽  
Lilia de Souza Nogueira ◽  
Renato Sérgio Poggetti ◽  
Belchor Fontes ◽  
...  
Keyword(s):  
Survival Rate ◽  
Injury Severity Score ◽  
Survival Probability ◽  
Severity Score ◽  
Injury Severity ◽  
Motor Vehicle ◽  
Survival Prediction ◽  
Trauma Patients ◽  
New Injury Severity Score ◽  
Trauma And Injury

The objective of this study was to verify if replacing the Injury Severity Score (ISS) by the New Injury Severity Score (NISS) in the original Trauma and Injury Severity Score (TRISS) form would improve the survival rate estimation. This retrospective study was performed in a level I trauma center during one year. ROC curve was used to identify the best indicator (TRISS or NTRISS) for survival probability prediction. Participants were 533 victims, with a mean age of 38±16 years. There was predominance of motor vehicle accidents (61.9%). External injuries were more frequent (63.0%), followed by head/neck injuries (55.5%). Survival rate was 76.9%. There is predominance of ISS scores ranging from 9-15 (40.0%), and NISS scores ranging from 16-24 (25.5%). Survival probability equal to or greater than 75.0% was obtained for 83.4% of the victims according to TRISS, and for 78.4% according to NTRISS. The new version (NTRISS) is better than TRISS for survival prediction in trauma patients.

Non-Selective Thoracic Computed Tomography in Trauma Patients Results in Injury Severity Score Inflation

2021 ◽  
pp. 000313482110249
Author(s):  
Leonardo Alaniz ◽  
Omaer Muttalib ◽  
Juan Hoyos ◽  
Cesar Figueroa ◽  
Cristobal Barrios
Keyword(s):  
Computed Tomography ◽  
Injury Severity Score ◽  
Severity Score ◽  
Injury Severity ◽  
Treatment Plan ◽  
Mortality Prediction ◽  
Trauma Patients ◽  
Mortality Benefit ◽  
Severity Scores ◽  
Score Inflation

Introduction Extensive research relying on Injury Severity Scores (ISS) reports a mortality benefit from routine non-selective thoracic CTs (an integral part of pan-computed tomography (pan-CT)s). Recent research suggests this mortality benefit may be artifact. We hypothesized that the use of pan-CTs inflates ISS categorization in patients, artificially affecting admission rates and apparent mortality benefit. Methods Eight hundred and eleven patients were identified with an ISS >15 with significant findings in the chest area. Patient charts were reviewed and scores were adjusted to exclude only occult injuries that did not affect treatment plan. Pearson chi-square tests and multivariable logistic regression were used to compare adjusted cases vs non-adjusted cases. Results After adjusting for inflation, 388 (47.8%) patients remained in the same ISS category, 378 (46.6%) were reclassified into 1 lower ISS category, and 45 (5.6%) patients were reclassified into 2 lower ISS categories. Patients reclassified by 1 category had a lower rate of mortality ( P < 0.001), lower median total hospital LOS ( P < .001), ICU days ( P < .001), and ventilator days ( P = 0.008), compared to those that remained in the same ISS category. Conclusion Injury Severity Score inflation artificially increases survival rate, perpetuating the increased use of pan-CTs. This artifact has been propagated by outdated mortality prediction calculation methods. Thus, prospective evaluations of algorithms for more selective CT scanning are warranted.

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