scholarly journals Comparison of Shiraz Trauma Transfusion Score (STTS) Potency With Common Scoring Systems for Trauma in Predicting the Short and Long Term Mortality of Injured Patients

2021 ◽  
Author(s):  
Sepideh Vosooghi Rahbari ◽  
Hamidreza Hosseinpour ◽  
Mohamadreza Karoobi ◽  
Hojat Abolghasemi ◽  
Ali Shahabinezhad ◽  
...  

Abstract Background and Objective: Trauma is the leading cause of death in people under 40 years of age worldwide. Various studies have been conducted focused on reducing the annual mortality rate due to trauma. One of the most important measures is reducing the time between the incident and the treatment set up, therefore the estimation of the severity of trauma and progressing to mortality before further evaluation is justified. In this study, we aim to compare different trauma scoring systems (such as GAP, MGAP, RTS, TRISS) with a relatively new model – Shiraz Trauma Transfusion Score (STTS) – and to describe the best qualities of these scoring systems for trauma patients in short (less than 24 hours) and long (more than 24 hours) term.Methods: In this cross-sectional study, data from hospitalized trauma patients in Rajaei hospital (center B) of Shiraz, Iran from May to November 2016 were collected and analyzed. Collected data consisted of age, sex, hospital admission duration, mechanism of trauma along with clinical data for calculating different trauma scoring systems, were recorded. Results: while RTS and STTS were the best predictors of mortality in trauma patients in the first 24 hours (sensitivity of 100.00%), GAP and MGAP were the best predictors of the patients’ survival (specificity of 93.83% and 92.59%). GAP and ISS were the best predictors of mortality in trauma patients for more than 24 hours (sensitivity of 82.02%). On the other hand, TRIS and RTS were the best predictors of patients' survival (specificity of 82.59% and 80.26%).Conclusions: Our study findings suggest that the utility and applicability of Shiraz Trauma Transfusion Score(STTS) in predicting mortality is not only comparable with other commonly used scoring methods but it may be of more value in shortterm mortality prediction.

2021 ◽  
Author(s):  
Sepideh Vosooghi Rahbari ◽  
Hamidreza Hosseinpour ◽  
Mohamadreza Karoobi ◽  
Hojat Abolghasemi ◽  
Ali Shahabinezhad ◽  
...  

Abstract Background and Objective: Trauma is the leading cause of death in people under 40 years of age worldwide. Various studies have been conducted focused on reducing the annual mortality rate due to trauma. One of the most important measures is reducing the time between the incident and the treatment set up, therefore the estimation of the severity of trauma and progressing to mortality before further evaluation is justified. In this study, we aim to compare different trauma scoring systems (such as GAP, MGAP, RTS, TRISS) with a relatively new model – Shiraz Trauma Transfusion Score (STTS) – and to describe the best qualities of these scoring systems for trauma patients in short (less than 24 hours) and long (more than 24 hours) term.Methods: In this cross-sectional study, data from hospitalized trauma patients in Rajaei hospital (center B) of Shiraz, Iran from May to November 2016 were collected and analyzed. Collected data consisted of age, sex, hospital admission duration, mechanism of trauma along with clinical data for calculating different trauma scoring systems, were recorded. Results: while RTS and STTS were the best predictors of mortality in trauma patients in the first 24 hours (sensitivity of 100.00%), GAP and MGAP were the best predictors of the patients’ survival (specificity of 93.83% and 92.59%). GAP and ISS were the best predictors of mortality in trauma patients for more than 24 hours (sensitivity of 82.02%). On the other hand, TRIS and RTS were the best predictors of patients' survival (specificity of 82.59% and 80.26%).Conclusions: Our study findings suggest that the utility and applicability of Shiraz Trauma Transfusion Score(STTS) in predicting mortality is not only comparable with other commonly used scoring methods but it may be of more value in shortterm mortality prediction.


2020 ◽  
Author(s):  
Sepideh Vosooghi Rahbari ◽  
Hamidreza Hosseinpour ◽  
Mohamadreza Karoobi ◽  
Hojat Abolghasemi ◽  
Ali Shahabinezhad ◽  
...  

Abstract background: Trauma is the leading cause of death in people under 40 years of age worldwide. Various studies have been conducted focused on reducing the annual mortality rate due to trauma. One of the most important measures is reducing the time between the incident and the treatment set up, therefore estimation of the severity of trauma and progressing to mortality before further evaluation is justified. Numerous trauma scoring systems have been apllied worldwide as models for predicting mortality of trauma patients in short and long term periods based on clinical and laboratory data. In this study we aim to compare different trauma scoring systems (such as GAP, MGAP, RTS, TRISS) with a relatively new model – Shiraz Trauma Transfusion Score (STTS) – and to discribe the best qualities of these scoring systems for trauma patients in short (less than 24 hours) and long (more than 24 hours) term.Methods: In this cross-sectional study, data from hospitalized trauma patients in Rajaei hospital (center B) of Shiraz, Iran from May to November 2016 were collected and analyzed. Collected data consisted of age, sex, hospital admission duration, mechanism of trauma along with clinical data for calculating different trauma scoring systems, were recorded. Results: while RTS and STTS were the best predictors of mortality in trauma patients in the first 24 hours (sensitivity of 100.00%), GAP and MGAP were the best predictors of the patients’ survival (specificity of 93.83% and 92.59%). GAP and ISS were the best predictors of mortality in trauma patients for more than 24 hours (sensitivity of 82.02%). On the other hand, TRIS and RTS was the best predictors of patients' survival (specificity of 82.59% and 80.26%).Conclusion: Our study findings suggest that the utility and applicability of Shiraz Trauma Transfusion Score(STTS) in predicting mortality is not only comparable with other commonly used scoring methods but it may be of more value in short term mortality prediction.


2021 ◽  
Author(s):  
Sepideh Vosooghi Rahbari ◽  
Hamidreza Hosseinpour ◽  
Mohamadreza Karoobi ◽  
Hojat Abolghasemi ◽  
Ali Shahabinezhad ◽  
...  

Abstract Background: Trauma is the leading cause of death in people under 40 years of age worldwide. Various studies have been conducted focused on reducing the annual mortality rate due to trauma. One of the most important measures is reducing the time between the incident and the treatment set up, therefore estimation of the severity of trauma and progressing to mortality before further evaluation is justified. Numerous trauma scoring systems have been apllied worldwide as models for predicting mortality of trauma patients in short and long term periods based on clinical and laboratory data. In this study we aim to compare different trauma scoring systems (such as GAP, MGAP, RTS, TRISS) with a relatively new model – Shiraz Trauma Transfusion Score (STTS) – and to discribe the best qualities of these scoring systems for trauma patients in short (less than 24 hours) and long (more than 24 hours) term.Methods: In this cross-sectional study, data from hospitalized trauma patients in Rajaei hospital (center B) of Shiraz, Iran from May to November 2016 were collected and analyzed. Collected data consisted of age, sex, hospital admission duration, mechanism of trauma along with clinical data for calculating different trauma scoring systems, were recorded. Results: while RTS and STTS were the best predictors of mortality in trauma patients in the first 24 hours (sensitivity of 100.00%), GAP and MGAP were the best predictors of the patients’ survival (specificity of 93.83% and 92.59%). GAP and ISS were the best predictors of mortality in trauma patients for more than 24 hours (sensitivity of 82.02%). On the other hand, TRIS and RTS was the best predictors of patients' survival (specificity of 82.59% and 80.26%).Conclusions: Our study findings suggest that the utility and applicability of Shiraz Trauma Transfusion Score(STTS) in predicting mortality is not only comparable with other commonly used scoring methods but it may be of more value in short term mortality prediction.


2020 ◽  
Author(s):  
Gonzalo Luengo-Alonso ◽  
Fernando García-Seisdedos Pérez-Tabernero ◽  
Miguel Tovar Bazaga ◽  
José M Arguello-Cuenca ◽  
Emilio Calvo

Abstract Purpose:SARS-CoV-2 new scenario has forced health systems to work under extreme stress urging to perform a complete reorganization of the way our means and activities were organized. Orthopedic and trauma have rescheduled their activities to help SARS-CoV-2 units, but trauma patients require also treatment, and no standardized protocols have been established.Methods: Single-center cross-sectional study was performed in a tertiary hospital. Two different periods of time were analyzed: a two-week period time in March 2019 (pre-SARS-CoV-2) and the same period of March 2020 (SARS-CoV-2 pandemic time). Outpatient’s data, emergency activity, surgical procedures and admissions were evaluated. Surgeons and patient´s opinion was also evaluated using a survey.Results:A total of ~16k (15.953) patients were evaluated. Scheduled clinical appointments decreased by ~22%. Urgent consultations and discharge from clinics also descended (~37% and ~20% respectively). Telemedicine was used in 90% of outpatient clinical evaluations. No elective surgical procedures during SARS-CoV-2 time were scheduled, and subtracting the effect of elective surgeries, a reduction of inpatient surgeries, from ~85% to ~59%. Patients delayed trauma assistance more than 48 hours in 13 cases (35%). Preoperative admission for hip fractures decreased in 10 hours on average. Finally surveys stated that patients were more in favor than surgeons to this new way to evaluate orthopedic and trauma patients based strongly on telemedicine.ConclusionDetailed protocols should be standardized for surgical departments during the pandemic. This paper offers a general view in how this virus affects an orthopedic unit and could serve as a protocol and example for orthopedic and trauma units. Even in the worst scenario, an orthopedic and Trauma unit could offer an effective, efficient and quality service. SARS-CoV-2 will set up a new paradigm for health care in orthopedics and trauma.


Author(s):  
Danilo M Razente ◽  
Bruno D Alvarez ◽  
Daniel AM Lacerda ◽  
João MDS Biscardi ◽  
Marcia Olandoski ◽  
...  

ABSTRACT Background This study aims to compare mortality prediction capabilities of three different physiological trauma scoring systems (TSS): Revised Trauma Score (RTS) Glasgow Coma Scale, Age, and Systolic Blood Pressure (GAP) and Mechanism, Glasgow Coma Scale, Age, and Arterial Pressure (MGAP). Study design A descriptive, cross-sectional study of trauma victims admitted to the emergency service between December-2013 and February-2014. Clinical and epidemiological information were gathered at admission and three TSS were calculated: RTS, GAP, and MGAP. The follow-up period to assess length of hospitalization and mortality lasted until August-2014. Two groups were created — survivals (S) and deaths (D) — and compared. P < 0.05 was considered statistically significant. Results A total of 668 trauma victims were analyzed. The mean age was 37 ± 18 and 69.8% were males. Blunt trauma prevailed (90.6%). The mean scores of RTS, GAP, and MGAP for group S (n = 657; 98.4%) were 7.77 ± 0.33, 22.8 ± 1.7, and 27.4 ± 2.3 respectively (p < 0.001), whereas group D (n = 11, 1.6%) achieved mean scores of 4.57 ± 2.95, 13 ± 7, and 15.5 ± 7 (p < 0.001). Regarding the Receiver Operating Characteristics (ROC) analysis, the areas under the curve were 0.926 (RTS), 0.941 (GAP), and 0.981 (MGAP). The three TSS demonstrated significant mortality prediction capabilities (p < 0.001). There was no statistically significant difference between the three ROC curves (p = 0.138). The MGAP achieved the highest sensitivity (100%), while GAP and RTS sensitivities were 81.8% (59—100%), and 90.9% (73.9—100%) respectively (p < 0.001). The observed specificities were 96.2% (94.77—97.7%) for GAP, 91.6% (89.5—93.7%) for MGAP, and 87.2% (84.7—89.8%) for RTS (p < 0.001). Age (p = 0.049), Glasgow Coma Scale (GCS) (p < 0.001), and trauma mechanism (p < 0.001) were different between the two groups. Conclusion Most patients were young males and victims of blunt trauma. The three TSS demonstrated reliability regarding mortality prediction. The MGAP achieved the highest sensitivity and GAP was the most specific score, which may indicate a potential use of both as valuable alternatives to RTS. How to cite this article Razente DM, Alvarez BD, Lacerda DAM, Biscardi JMDS, Olandoski M, Bahten LCV. Mortality Prediction in Trauma Patients using Three Different Physiological Trauma Scoring Systems. Panam J Trauma Crit Care Emerg Surg 2017;6(3):160-168.


2016 ◽  
Vol 1 (2) ◽  
pp. 12-19
Author(s):  
Muaf Abdulla Karim ◽  
Jamal Kareem Shakor ◽  
Bootan Hasan Ahmed ◽  
Dlzar Omer Qadir ◽  
Saleem Saaed Qader

Hypertension   and   diabetes   mellitus   (DM)   are the      two       major      inter-correlated      risk       factors      of cardiovascular   diseases,    which    considered    as    the    major causes  of  morbidity  and  mortality.  This  study  is  set  up  to determine   control   rate,   and   the   social   demographic   and health   related   behaviours   risk   factors   in   association   with control   rate   in   hypertensive   and/or   diabetes   patients   who are  under  treatment.  Cross  sectional  study  was  carried  out in  this  study.  Data  have  been  collected  by  well-trained paramedics through direct interviews using structured questionnaire     with     the     participants.     A     conventional sampling  which  is  one  of  the  main  types  of  non-probability method  was  used  for  collecting  data.  SPSS  version  16  was used   for   analysing   data.   338   patients   were   recruited   into the   study,   150(44.1%)   of   participants   with   hypertension,88(25.9%) with diabetes and the rest 100(29.4%) with both diseases.   Patients   who   diagnosed   with   hypertension   weremore  under  control  83  (55.3%)  in  comparison  with  diabetic23(26.1%)   and   patients   who   were   diagnosed   both conditions 18(18.0%). High control rate was observed in hypertension  patients  compared  to  diabetes  and  those diagnosed   both   conditions.   Cor   morbidity   was   the   main cause of uncontrolled rate.


Author(s):  
Samaneh Silakhori ◽  
Bita Dadpour ◽  
Majid Khadem-Rezaiyan ◽  
Alireza Sedaghat ◽  
Farzad Mirzakhani

Background: This study aimed to assess the performance of the Acute Physiology and Chronic Health Evaluation (APACHE) II, APACHE IV, Simplified Acute Physiologic Score (SAPS) II, and Sequential Organ Failure Assessment (SOFA) scores in predicting mortality rate in poisoning patients admitted to an intensive care unit (ICU).Methods: This cross-sectional study was performed on all admitted patients in the poisoning ICU of Imam Reza Hospital, Mashhad City, Iran. All patients were evaluated for three consecutive days since admission time and then every two days until discharge from ICU or death. The scoring systems mentioned above were calculated and analyzed by MedCalc statistical software version 18.9.1 and SPSS version 16.Results: Overall, 150 patients were studied, out of whom 67% (101) were male. Their mean±SD age was 41.6±18.9 years. In their whole hospitalization period, APACHE II (79.5%), SAPS II (78.7%), APACHE IV (78.4%), and SOFA (72.9%) were the most precise measures. On the first day of admission APACHE II (77.4%), on the second day, APACHE II (83.1%), on the third day, APACHE II (90.7%), and on the fifth day, SOFA (81.6%) were the most precise measures.Conclusion: All four systems have acceptable discriminatory power for poisoned patients. However, it seems that APACHE II can be used for mortality prediction, especially in the early days of admission. 


GeroPsych ◽  
2017 ◽  
Vol 30 (2) ◽  
pp. 61-70 ◽  
Author(s):  
Lia Oberhauser ◽  
Andreas B. Neubauer ◽  
Eva-Marie Kessler

Abstract. Conflict avoidance increases across the adult lifespan. This cross-sectional study looks at conflict avoidance as part of a mechanism to regulate belongingness needs ( Sheldon, 2011 ). We assumed that older adults perceive more threats to their belongingness when they contemplate their future, and that they preventively react with avoidance coping. We set up a model predicting conflict avoidance that included perceptions of future nonbelonging, termed anticipated loneliness, and other predictors including sociodemographics, indicators of subjective well-being and perceived social support (N = 331, aged 40–87). Anticipated loneliness predicted conflict avoidance above all other predictors and partially mediated the age-association of conflict avoidance. Results suggest that belongingness regulation accounts may deepen our understanding of conflict avoidance in the second half of life.


2020 ◽  
Vol 1 (1) ◽  
pp. 57-63
Author(s):  
Silke Heuse ◽  
Cathrin Dietze ◽  
Daniel Fodor ◽  
Edgar Voltmer

Background: Future health-care professionals face stress both during education and in later professional life. Next to educational trainings, many students are forced to assume part-time employment. Objective: Applying the Job Demands-Resources Model to the educational context, we investigate which role part-time employment plays next to health-care professional students’ education-specific demands and resources in the prediction of perceived stress. Method: In this cross-sectional study, data from N = 161 health-care students were analysed, testing moderation models. Results: Education-specific demands were associated with higher and education-specific resources with lower amounts of perceived stress. Part-time employment functioned as moderator, i.e. demands were less associated with stress experiences in students who were employed part-time. Conclusion: Identifying part-time employment as a resource rather than a demand illustrates the need to understand students’ individual influences on stress. Both educators and students will benefit from reflecting these resources to support students’ stress management.


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