scholarly journals Factors Predicting outcome of patients with polytrauma in tertiary center of western Nepal

2021 ◽  
Vol 2 (1) ◽  
pp. 13-18
Author(s):  
Pradeep Ghimire ◽  
Nikunja Yogi ◽  
Balgopal Karmacharya ◽  
Abhishek Poudel ◽  
Sushil Mishra
Keyword(s):  
Logistic Regression ◽  
Injury Severity Score ◽  
Severity Score ◽  
Injury Severity ◽  
Univariate Analysis ◽  
Binary Logistic Regression ◽  
Public Health Issue ◽  
P Value ◽  
Trauma Population ◽  
Tertiary Center

 Introduction: Trauma is a public health issue associated with substantial socioeconomic impacts and major adverse clinical outcomes. No single study has previously investigated the predictors of mortality in a general trauma population. In this study, we assessed different clinico-biochemical parameters to investigate the associations between those parameters and their effects in outcome of a polytrauma patient. Methods: An analytical study was done in between January 2020 to December 2020 in patients with polytrauma admitted to intensive care unit Department of Surgery in Manipal Teaching Hospital to assess the effect of various socio-demographic and clinic-radiologic variables in outcome (Glasgow outcome scale) of polytrauma patients. All the categorical data were tested using chi square test or Fischer Exact test and continuous variables were tested using student’s “t” test. P value <0.05 was determined significant. Those independent variables significant on univariate analysis were then subjected to binary logistic regression and the data was presented as level of significance, odds ratio and 95% confidence interval. Analysis was done using SPSS 23.0. Results: Out of 67 patients, 34 had favorable GOS and 33 had unfavorable GOS. Injury Severity Score (ISS) (P<0.01), abnormal pupils (P<0.01), RBS (0.04), low GCS during presentation (<0.01), higher CT Marshal Grade (0.01) had strong associations with unfavorable outcome in polytraumatic patient. ISS was the only significant parameter when all the other significant variables were kept constant in binary logistic regression model (OR=1.18, 95% CI=1.08-1.28). Conclusion: Injury Severity Score, abnormal pupils during presentation, high level of blood sugar after polytrauma, low GCS during presentation, higher CT Marshal Grade are strong predictors in outcomes of polytraumatic patient.

scholarly journals The Applicability of Trauma and Injury Severity Score for a Blunt Trauma Population in Korea and a Proposal of New Models Using Score Predictors

2016 ◽  
Vol 57 (3) ◽  
pp. 728 ◽  
Author(s):  
Kyoungwon Jung ◽  
Yo Huh ◽  
John Cook-Jong Lee ◽  
Younghwan Kim ◽  
Jonghwan Moon ◽  
...  
Keyword(s):  
Injury Severity Score ◽  
Blunt Trauma ◽  
Severity Score ◽  
Injury Severity ◽  
Trauma Population ◽  
New Models ◽  
Trauma And Injury

scholarly journals Applicability of Anatomic and Physiologic Scoring Systems for the Prediction of Outcome in Polytraumatized Patients with Blunt Aortic Injuries

Diagnostics ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2156
Author(s):  
Alexander Omar ◽  
Marcel Winkelmann ◽  
Emmanouil Liodakis ◽  
Jan-Dierk Clausen ◽  
Tilman Graulich ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Injury Severity Score ◽  
Sensitivity And Specificity ◽  
Severity Score ◽  
Injury Severity ◽  
Scoring Systems ◽  
Apache Ii ◽  
Operating Characteristics ◽  
Aortic Injuries ◽  
Receiver Operating

Background: Most patients with blunt aortic injuries, who arrive alive in a clinic, suffer from traumatic pseudoaneurysms. Due to modern treatments, the perioperative mortality has significantly decreased. Therefore, it is unclear how exact the prediction of commonly used scoring systems of the outcome is. Methods: We analyzed data on 65 polytraumatized patients with blunt aortic injuries. The following scores were calculated: injury severity score (ISS), new injury severity score (NISS), trauma and injury severity score (TRISS), revised trauma score coded (RTSc) and acute physiology and chronic health evaluation II (APACHE II). Subsequently, their predictive value was evaluated using Spearman´s and Kendall´s correlation analysis, logistic regression and receiver operating characteristics (ROC) curves. Results: A proportion of 83% of the patients suffered from a thoracic aortic rupture or rupture with concomitant aortic wall dissection (54/65). The overall mortality was 24.6% (16/65). The sensitivity and specificity were calculated as the area under the receiver operating curves (AUC): NISS 0.812, ISS 0.791, APACHE II 0.884, RTSc 0.679 and TRISS 0.761. Logistic regression showed a slightly higher specificity to anatomical scoring systems (ISS 0.959, NISS 0.980, TRISS 0.957, APACHE II 0.938). The sensitivity was highest in the APACHE II with 0.545. Sensitivity and specificity for the RTSc were not significant. Conclusion: The predictive abilities of all scoring systems were very limited. All scoring systems, except the RTSc, had a high specificity but a low sensitivity. In our study population, the RTSc was not applicable. The APACHE II was the most sensitive score for mortality. Anatomical scoring systems showed a positive correlation with the amount of transfused blood products.

Venous Thromboembolism in Trauma Patients

2007 ◽  
Vol 73 (11) ◽  
pp. 1173-1180 ◽  
Author(s):  
Om P. Sharma ◽  
Michael F. Oswanski ◽  
Rusin J. Joseph ◽  
Peter Tonui ◽  
Libby Westrick Pa-C ◽  
...  
Keyword(s):  
Risk Factor ◽  
Venous Thromboembolism ◽  
Injury Severity Score ◽  
Severity Score ◽  
Injury Severity ◽  
Univariate Analysis ◽  
Trauma Patients ◽  
Vein Thrombosis ◽  
Cord Injury ◽  
Deep Vein

Serial venous duplex scans (VDS) were done in 507 trauma patients with at least one risk factor (RF) for venous thromboembolism (VTE) during a 2-year study period. Deep vein thrombosis (DVT) was detected in 31 (6.1%) patients. This incidence was 3.1 per cent in low (1–2 RFs), 3.4 per cent in moderate (3–5 RFs), and 7.7 per cent in high (≥6 RFs) VTE scores ( P = 0.172). Incidence was statistically different (3% vs 7.2%, P = 0.048) on reanalyzing patients in two risk categories, low-risk (1–4 RFs) and high-risk (≥5 RFs). Only 4 of 16 RFs had statistically higher incidence of DVT in patients with or without RFs: previous VTE (27.3% vs 5.6%, odds ratio (OR) 6.628, P = 0.024), spinal cord injury (22.6% vs 5%, OR 5.493, P = 0.001), pelvic fractures (11.4% vs 5.1%, OR 2.373, P = 0.042), and head injury with a greater than two Abbreviated Injury Score (10.5% vs 4.2%, OR 2.639, P = 0.014). On reanalyzing patients with ≥5 RFs vs <5RFs, obesity (14.3 vs 6.1%, P = 0.007), malignancy (5.6% vs 0.6%, P = 0.006), coagulopathy (10.8% vs 1.8%, P = 0.000), and previous VTE (3.2% vs 0%, P = 0.019) were significant on univariate analysis. Patients with DVT had 3.70 ± 1.75 RFs and a 9.61 ± 4.93 VTE score, whereas, patients without DVT had 2.66 ± 1.50 RFs and a 6.83 ± 3.91 VTE score ( P = 0.000). DVTs had a direct positive relationship with higher VTE scores, length of stay, and number of VDS (>1 r, P ≤ 0.001). Increasing age was a weak risk factor (0.03 r, P = 0.5). First two VDS diagnosed 77 per cent of DVTs. Patients with injury severity score of ≥15 and 25 had higher DVTs compared with the ones with lower injury severity score levels ( P ≤ 0.05). Pulmonary embolism was silent in 63 per cent and DVTs were asymptomatic in 68 per cent.

scholarly journals Ten-year inhospital mortality trends for patients with trauma in Japan: a multicentre observational study

BMJ Open ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. e018635 ◽  
Author(s):  
Isao Nagata ◽  
Toshikazu Abe ◽  
Masatoshi Uchida ◽  
Daizoh Saitoh ◽  
Nanako Tamiya
Keyword(s):  
Logistic Regression ◽  
Observational Study ◽  
Injury Severity Score ◽  
Severity Score ◽  
Injury Severity ◽  
Whole Body ◽  
Inhospital Mortality ◽  
Regression Analyses ◽  
Mortality Trends ◽  
Multivariable Logistic Regression

ObjectivesTrauma is one of the main causes of death in Japan, and treatments and prognoses of these injuries are constantly changing. We therefore aimed to investigate a 10-year trend (2004–2013) in inhospital mortality among patients with trauma in Japan.DesignMulticentre observational study.SettingJapanese nationwide trauma registry (the Japan Trauma Data Bank) data.ParticipantsAll patients with trauma whose Injury Severity Score (ISS) were 3 and above, who were aged 15 years or older, and whose mechanisms of injury (MOI) were blunt and penetrating between 2004 and 2013 (n=90 833).Outcome measuresA 10-year trend in inhospital mortality.ResultsInhospital mortality for all patients with trauma significantly decreased over the study decade in our Cochran-Armitage test (P<0.001). Similarly, inhospital mortality for patients with ISS 16 or more and patients who scored 50% or better on the Trauma and Injury Severity Score (TRISS) probability of survival scale significantly decreased (P<0.001). In addition, the OR for inhospital mortality of these three patient groups decreased yearly after adjusting for age, gender, MOI, ISS, Glasgow Coma Scale, systolic blood pressure and respiratory rate on hospital arrival in multivariable logistic regression analyses. Furthermore, inhospital mortality for patient with blunt trauma significantly decreased in injury mechanism-stratified Mantel-extension testing (P<0.001). Finally, multivariable logistic regression analyses showed that the OR for inhospital mortality of patients with ISS 16 and over decreased each year after adding and adjusting for means of transportation and usage of whole-body CT.ConclusionInhospitalmortality for patients with trauma in Japan significantly decreased during the study decade after adjusting for patient characteristics, injury severity and the response environment after injury.

Comparison of the Prognostic Significance of Initial Blood Lactate and Base Deficit in Trauma Patients

2017 ◽  
Vol 126 (3) ◽  
pp. 522-533 ◽  
Author(s):  
Keyword(s):  
Logistic Regression ◽  
Injury Severity Score ◽  
Blood Lactate ◽  
Severity Score ◽  
Injury Severity ◽  
Prognostic Significance ◽  
Base Deficit ◽  
Trauma Patients ◽  
Operating Characteristics ◽  
Initial Blood

Abstract Background Initial blood lactate and base deficit have been shown to be prognostic biomarkers in trauma, but their respective performances have not been compared. Methods Blood lactate levels and base deficit were measured at admission in trauma patients in three level 1 trauma centers. This was a retrospective analysis of prospectively acquired data. The association of initial blood lactate and base deficit with mortality was tested using receiver operating characteristics curve, logistic regression using triage scores (Revised Trauma Score and Mechanism Glasgow scale and Arterial Pressure score), and Trauma Related Injury Severity Score as a reference standard. The authors also used a reclassification method. Results The authors evaluated 1,075 trauma patients (mean age, 39 ± 18 yr, with 90% blunt and 10% penetrating injuries and a mortality of 13%). At admission, blood lactate was elevated in 425 (39%) patients and base deficit was elevated in 725 (67%) patients. Blood lactate was correlated with base deficit (R2 = 0.54; P &lt; 0.001). Using logistic regression, blood lactate was a better predictor of death than base deficit when considering its additional predictive value to triage scores and Trauma Related Injury Severity Score. This result was confirmed using a reclassification method but only in the subgroup of normotensive patients (n = 745). Conclusions Initial blood lactate should be preferred to base deficit as a biologic variable in scoring systems built to assess the initial severity of trauma patients.

scholarly journals Effect of COVID-19 Vaccination on Seizures in Patients With Epilepsy: a Multicenter, Retrospective Study

2021 ◽  
Author(s):  
Xiqin Fang ◽  
Shan Qiao ◽  
Ranran Zhang ◽  
Tingting Yang ◽  
Zhihao Wang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Statistical Significance ◽  
Univariate Analysis ◽  
Binary Logistic Regression ◽  
P Value ◽  
Binary Logistic Regression Analysis ◽  
Patients With Epilepsy ◽  
Vaccination Period

Abstract Background: Previous study have shown that seizures may occur as a result of vaccination. This study aimed to evaluate the risk and correlative factors of seizures in patients with epilepsy (PWE) after being vaccinated with COVID-19 and to provide reference opinions for PWE to receive COVID-19 vaccine.Methods: We retrospectively enrolled PWE patients who were vaccinated against COVID-19 in the epilepsy centers of nine hospitals in China. The binary logistic regression analysis included variables with a P-value less than 0.1 in the univariate analysis.Results: The study included 290 patients, of which 40 (13.8%) developed seizures within 14 days after vaccination, whereas 250 (86.2%) remained seizure-free. The binary logistic regression analysis revealed statistical significance in seizures within three months before vaccination (P<0.001, OR=10.121, 95% CI: 4.301-23.816) and withdrawal or reduction of anti-seizures medications (ASM) during the peri-vaccination period (P=0.027, OR=4.452, 95% CI: 1.182-16.768). In addition, 32 of 33 patients (97.0%) who were seizure-free within three months before vaccination and had normal EEG results before vaccination did not have any seizures within 14 days following vaccination.Conclusions: SARS-CoV-2 may induce epilepsy through an inflammatory cascade. It is recommended to provide the COVID-19 vaccine to seizure-free patients for at least three months before vaccination, and the vaccination is safer if EEG result is normal. During peri-vaccination period, all PWE should be prohibited from reducing ASM dosage. PWE with well-controlled seizures who have discontinued ASM might consider resuming ASM during the peri-vaccination period if their EEG results are aberrant.

Supermassive Transfusion: A 15-Year Single Center Experience and Outcomes

2018 ◽  
Vol 84 (10) ◽  
pp. 1617-1621 ◽  
Author(s):  
Alison J. Yu ◽  
Kenji Inaba ◽  
Subarna Biswas ◽  
Luis Alejandro De Leon ◽  
Monica Wong ◽  
...  
Keyword(s):  
Glasgow Coma Scale ◽  
Injury Severity Score ◽  
Severity Score ◽  
Injury Severity ◽  
Characteristic Curve ◽  
Univariate Analysis ◽  
Female Gender ◽  
Trauma Patients ◽  
Coma Scale ◽  
Single Center Experience

The objective of this study was to determine the survival outcome associated with large-volume blood transfusion after trauma. This was a retrospective study at a Level I trauma center from January 2000 to December 2014 that included trauma patients who received ≥25 units packed red blood cell (pRBC) within the first 24 hours of hospital admission. Univariate and multivariable logistic regressions identified risk factors for mortality. Receiver operating characteristic curve analysis evaluated the ability of pRBC volume to predict mortality. Among 74,065 adults (‡18 years old), 178 patients (0.24%) received ≥25 units of pRBC in the first 24 hours, of which 142 (79.8%) received 25 to 49 units, 28 (15.7%) received 50 to 74 units, and 8 (4.5%) received ≥75 units. Overall, 92.2 per cent were male, mean age 33.9 (614.0), mean Injury Severity Score 28.9 (614.3), and median Glasgow Coma Scale score 12 (3–15). The overall mortality was 65.2 per cent and 64.1 per cent for those receiving 25 to 49 units, 64.3 per cent for 50 to 74 units, and 87.5 per cent for ≥75 units. In univariate analysis, female gender was associated with lower mortality [odds ratio (OR) 0.24, P = 0.025]. Decreasing Glasgow Coma Scale (OR 0.82, P < 0.001), increasing Injury Severity Score (OR 1.07, P < 0.001), and thoracotomy (OR 3.91, P < 0.001) were associated with higher mortality. There was no transfusion cutoff that was significantly associated with higher mortality.

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