Survival status and predictors of mortality among traumatic brain injury patients in an Ethiopian hospital: A retrospective cohort study

Predictors of 30-Day Mortality and Morbidity Following Craniotomy for Traumatic Brain Injury: An ACS NSQIP Database Analysis

Traumatic brain injury (TBI) is the leading cause of death among trauma patients. Identifying preoperative factors that predict postoperative outcomes in such patients can guide surgical decision-making. The aim of this study was to develop a predictive model using preoperative variables that predicts 30-day mortality and morbidity in patients undergoing neurosurgery following TBI. The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database was queried between 2005 and 2017 for patients aged 18 years or older who underwent TBI-specific surgery. The primary outcome was 30-day mortality, and the secondary outcome was a composite morbidity score. Significant variables on univariate analysis with Chi-squared test were used to compute multivariable logistic regression models for both outcomes, and Hosmer-Lemeshow test was used. A total of 1634 patients met the inclusion criteria. Most patients were elderly aged >60 years (74.48%), male (63.59%), of White race (73.62%), and non-Hispanic ethnicity (82.44%). The overall 30-day mortality rate was 20.3%. Using multivariate logistic regression, 11 preoperative variables were significantly associated with 30-day mortality, including (aOR, 95% CI) age 70-79 years (3.38, 2.03-5.62) and age >80 years (7.70, 4.74-12.51), ventilator dependency (6.04, 4.21-8.67), receiving dialysis (4.97, 2.43-10.18), disseminated cancer (4.42, 1.50-13.0), and coma >24 hours (3.30, 1.40-7.80), among others. Similarly, 12 preoperative variables were found to be significantly associated with 30-day morbidity, including acute renal failure (7.10, 1.91-26.32), return to OR (3.82, 2.77-5.27), sepsis (3.27, 1.11-9.66), prior operation within 30 days (2.55, 1.06-4.95), and insulin-dependent diabetes (1.60, 1.06-2.40), among others. After constructing receiver operating characteristic curve, the model for mortality had an area under the curve (AUC) of 0.843, whereas composite morbidity had an AUC of 0.716. This model can aid in clinical decision-making for triaging patients based on prognosis in cases of mass casualty events.

Traumatic Brain Injury as an Independent Predictor of Futility in the Early Resuscitation of Patients in Hemorrhagic Shock

This review explores the concept of futility timeouts and the use of traumatic brain injury (TBI) as an independent predictor of the futility of resuscitation efforts in severely bleeding trauma patients. The national blood supply shortage has been exacerbated by the lingering influence of the COVID-19 pandemic on the number of blood donors available, as well as by the adoption of balanced hemostatic resuscitation protocols (such as the increasing use of 1:1:1 packed red blood cells, plasma, and platelets) with and without early whole blood resuscitation. This has underscored the urgent need for reliable predictors of futile resuscitation (FR). As a result, clinical, radiologic, and laboratory bedside markers have emerged which can accurately predict FR in patients with severe trauma-induced hemorrhage, such as the Suspension of Transfusion and Other Procedures (STOP) criteria. However, the STOP criteria do not include markers for TBI severity or transfusion cut points despite these patients requiring large quantities of blood components in the STOP criteria validation cohort. Yet, guidelines for neuroprognosticating patients with TBI can require up to 72 h, which makes them less useful in the minutes and hours following initial presentation. We examine the impact of TBI on bleeding trauma patients, with a focus on those with coagulopathies associated with TBI. This review categorizes TBI into isolated TBI (iTBI), hemorrhagic isolated TBI (hiTBI), and polytraumatic TBI (ptTBI). Through an analysis of bedside parameters (such as the proposed STOP criteria), coagulation assays, markers for TBI severity, and transfusion cut points as markers of futilty, we suggest amendments to current guidelines and the development of more precise algorithms that incorporate prognostic indicators of severe TBI as an independent parameter for the early prediction of FR so as to optimize blood product allocation.

Mortality Predictors for Adult Patients with Mild-to-Moderate Traumatic Brain Injury: A Literature Review

Traumatic brain injuries (TBIs) represent a significant public health concern, with mild-to-moderate cases comprising a substantial portion of incidents. Understanding the predictors of mortality among adult patients with mild-to-moderate TBIs is crucial for optimizing clinical management and improving outcomes. This literature review examines the existing research to identify and analyze the mortality predictors in this patient population. Through a comprehensive review of peer-reviewed articles and clinical studies, key prognostic factors, such as age, Glasgow Coma Scale (GCS) score, the presence of intracranial hemorrhage, pupillary reactivity, and coexisting medical conditions, are explored. Additionally, this review investigates the role of advanced imaging modalities, biomarkers, and scoring systems in predicting mortality following a mild-to-moderate TBI. By synthesizing the findings from diverse studies, this review aims to provide clinicians and researchers with valuable insights into the factors influencing mortality outcomes in adult patients with a mild-to-moderate TBI, thus facilitating more informed decision making and targeted interventions in clinical practice.

The burden of head trauma in rural and remote North Queensland, Australia

BACKGROUND

Head trauma is a leading cause of death and disability worldwide. Young males, Indigenous people, and rural/remote residents have been identified as high-risk populations for head trauma, however, Australian research is limited. Our aim was to define and describe the incidence, demographics, causes, prehospital interventions, and outcomes of head trauma patients transported by aeromedical services within North Queensland, Australia. We hypothesized that young, Indigenous males living remotely would be disproportionately affected by head trauma.

METHODS

We conducted a retrospective study of all head trauma patients transferred by air to or between Townsville, Cairns, Mount Isa and Mackay Hospitals between January 1, 2016 and December 31, 2018. Patients were identified from the Trauma Care in the Tropics data registry and followed for a median 30-months post-injury. Primary endpoints were patient and injury characteristics. Secondary outcome measures were hospital stay and mortality.

RESULTS

A total of 981 patients were included and 31.1 % were Indigenous. Sixty-seven percent of injuries occurred remotely and the median time from injury to hospital was 5.8-hours (range 67-3780 min). Eighty percent of severe head injuries occurred in males (p = 0.007). Indigenous and remote patients were more likely to sustain mild injuries. The most common mechanism of injury overall was vehicle accident (37.5 %), compared to assault in the Indigenous subgroup (46.6 %, p<0.001). The overall mortality rate was 4.9 %, with older age and lower initial Glasgow Coma Score significant predictors of in-hospital mortality. Prehospital intubation was associated with a 7-fold increased risk of mortality (p = 0.056), while patients that received tranexamic acid (TXA) were almost 5-times more likely to die.

CONCLUSIONS

In North Queensland, young Indigenous males are at highest risk of traumatic head injuries. Vehicle accidents are an important preventable cause of head injury in the region. TXA administration is an important consideration for remote head trauma retrievals, in which time to emergency care is prolonged. Appropriate treatment and risk stratification strategies considering time to definitive care, severity of injury, and other prehospital patient factors require further investigation.

Predictors of Outcome After Traumatic Brain Injury: Experience at a Tertiary Healthcare Facility in Inner Mongolia, China

BACKGROUND

Traumatic brain injury (TBI) is 1 of the leading causes of death in all age groups globally. Understanding TBI causative factors and early interventions that may result in poor outcomes plays an important role in decreasing the mortality and disability associated with TBI.

METHODS

In this retrospective case-control study, we collected electronic case data from patients with TBI who visited our hospital between 2018 and 2022. We collected patient information from accident to discharge, and by using linear regression predicted factors influencing death from TBI.

RESULTS

A total of 957 patients with a mean age of 56.4 ± 17.0 years and a Glasgow Coma Scale score of 12 ± 3.7 on admission were included in the study. Of the total, 54 patients died in the hospital. Multifactorial logistic regression showed that the Glasgow Coma Scale scores, degree of injury on admission, surgical treatment, and brainstem hemorrhage all had a significant effect on the survival status of the patients at discharge.

CONCLUSIONS

Understanding the causes, patterns, and distribution of people with TBI in this study will benefit our country and others to develop policies, research, health management, and rehabilitation tools at the national level.

Clinical characteristics and outcomes of traumatic brain injury in patients admitted to surgical ward of Jimma Medical Center, Southwest Ethiopia: a prospective observational follow-up study

OBJECTIVE

To assess the Clinical Characteristics and Outcomes of Traumatic Brain Injury in Patients Admitted to the Surgical Ward of Jimma Medical Center, Southwest Ethiopia from January to July 2022.

DESIGN AND SETTING

A hospital-based prospective observational study was conducted among 175 patients admitted with Traumatic Brain Injury at Jimma Medical Center from January to July 2022. Data were collected by structured questionnaires and a convenient sampling technique was used. For data entry, Epidata V.4.6.0.5 software was used and exported to Stata V.14.0.2 for analysis. The Cox regression model was fitted to evaluate the predictors of mortality and variables with a p value <0.05 at 95% CI were taken as statistically significant predictors.

RESULTS

The incidence of in-hospital mortality was 22 (12.6%). The mean length of hospital stay was 6 days. In-hospital complications were recorded in 32.0% of patients. A Glasgow Coma Scale (GCS) score of <8 on admission (adjusted HR (AHR)=6.2, 95% CI 0.75 to 51), hyperthermia (AHR: 1.7, 95% CI 1.02 to 3.05) and lack of prehospital care (AHR: 3.2, 95% CI 2.2 to 8.07) were predictors of mortality in patients with traumatic brain injury.

CONCLUSION

In-hospital mortality was recorded in over one-tenth of patients with traumatic brain injury. The GCS score of <8 on admission, hyperthermia and lack of prehospital care positively affected the outcome of patients with traumatic brain injury. Screening of patients for hyperthermia and antipsychotics should be strengthened to reduce death. However, a multicentred study is needed for further evidence. Giving priority to the patients with those predictors will decrease the number of deaths.

Factors Delaying the Continuum of Care for the Management of Traumatic Brain Injury in Low- and Middle-Income Countries: A Systematic Review

BACKGROUND

Considering the disproportionate burden of delayed traumatic brain injury (TBI) management in low- and middle-income countries (LMICs), there is pressing demand for investigations. Therefore, our study aims to evaluate factors delaying the continuum of care for the management of TBIs in LMICs.

METHODS

A systematic review was conducted with PubMed, Scopus, Google Scholar and Cumulative Index to Nursing and Allied Health Literature (CINAHL). Observational studies with TBI patients in LMIC were included. The factors affecting management of TBI were extracted and analyzed descriptively.

RESULTS

A total of 55 articles were included consisting of 60,603 TBI cases from 18 LMICs. Road traffic accidents (58.7%) were the most common cause of injury. Among included studies, factors contributing to prehospital delays included a poor referral system and lack of an organized system of referral (14%), long travel distances (11%), inadequacy of emergency medical services (16.6%), and self-treatment practices (2.38%). For in-hospital delays, factors such as lack of trained physicians (10%), improper triage systems (20%), and absence of imaging protocols (10%), lack of in-house computed tomography scanners (35%), malfunctioning computed tomography scanners (10%), and a lack of invasive monitoring of intracranial pressure (5%), limited theater space (28%), lack of in-house neurosurgical facilities (28%), absence of in-house neurosurgeons (28%), and financial constraints (14%) were identified.

CONCLUSIONS

Several factors, both before and during hospitalization contribute to delays in the management of TBIs in LMICs. Strategically addressing these factors can help overcome delays and improve TBI management in LMICs.

Burden, risk factors, neurosurgical evacuation outcomes, and predictors of mortality among traumatic brain injury patients with expansive intracranial hematomas in Uganda: a mixed methods study design

BACKGROUND

Expansive intracranial hematomas (EIH) following traumatic brain injury (TBI) continue to be a public health problem in Uganda. Data is limited regarding the neurosurgical outcomes of TBI patients. This study investigated the neurosurgical outcomes and associated risk factors of EIH among TBI patients at Mulago National Referral Hospital (MNRH).

METHODS

A total of 324 subjects were enrolled using a prospective cohort study. Socio-demographic, risk factors and complications were collected using a study questionnaire. Study participants were followed up for 180 days. Univariate, multivariable, Cox regression analyses, Kaplan Meir survival curves, and log rank tests were sequentially conducted. P-values of < 0.05 at 95% Confidence interval (CI) were considered to be statistically significant.

RESULTS

Of the 324 patients with intracranial hematomas, 80.6% were male. The mean age of the study participants was 37.5 ± 17.4 years. Prevalence of EIH was 59.3% (0.59 (95% CI: 0.54 to 0.65)). Participants who were aged 39 years and above; PR = 1.54 (95% CI: 1.20 to 1.97; P = 0.001), and those who smoke PR = 1.21 (95% CI: 1.00 to 1.47; P = 0.048), and presence of swirl sign PR = 2.26 (95% CI: 1.29 to 3.95; P = 0.004) were found to be at higher risk for EIH. Kaplan Meier survival curve indicated that mortality at the 16-month follow-up was 53.4% (95% CI: 28.1 to 85.0). Multivariate Cox regression indicated that the predictors of mortality were old age, MAP above 95 mmHg, low GCS, complications such as infection, spasticity, wound dehiscence, CSF leaks, having GOS < 3, QoLIBRI < 50, SDH, contusion, and EIH.

CONCLUSION

EIH is common in Uganda following RTA with an occurrence of 59.3% and a 16-month higher mortality rate. An increased age above 39 years, smoking, having severe systemic disease, and the presence of swirl sign are independent risk factors. Old age, MAP above 95 mmHg, low GCS, complications such as infection, spasticity, wound dehiscence, CSF leaks, having a GOS < 3, QoLIBRI < 50, ASDH, and contusion are predictors of mortality. These findings imply that all patients with intracranial hematomas (IH) need to be monitored closely and a repeat CT scan to be done within a specific period following their initial CT scan. We recommend the development of a protocol for specific surgical and medical interventions that can be implemented for patients at moderate and severe risk for EIH.

Incidence and predictors of mortality among traumatic brain injury patients admitted to Amhara region Comprehensive Specialized Hospitals, northwest Ethiopia, 2022

INTRODUCTION

Traumatic brain injury is a substantial cause of mortality and morbidity with a higher burden in low and middle-income countries due to healthcare systems that are unable to deliver effectively the acute and long-term care the patients require. Besides its burden, there is little information on traumatic brain injury-related mortality in Ethiopia, especially in the region. Therefore, this study aimed to assess the incidence and predictors of mortality among traumatic brain injury patients admitted to comprehensive specialized hospitals in the Amhara region, northwest Ethiopia, 2022.

METHODS

An institution-based retrospective follow-up study was conducted among 544 traumatic brain injury patients admitted from January 1, 2021, to December 31, 2021. A simple random sampling method was used. Data were extracted using a pre-tested and structured data abstraction sheet. Data were entered, coded, and cleaned into EPi-info version 7.2.0.1 software and exported to STATA version 14.1 for analysis. The Weibull regression model was fitted to determine the association between time to death and covariates. Variables with a P-value < 0.05 were declared statistically significant.

RESULTS

The overall incidence of mortality among traumatic brain injury patients was 1.23 per 100 person-day observation [95% (CI: 1.0, 1.5)] with a median survival time of 106 (95% CI: 60, 121) days. Age [AHR: 1.08 (95% CI; 1.06, 1.1)], severe traumatic brain injury [AHR: 10 (95% CI; 3.55, 28.2)], moderate traumatic brain injury [AHR: 9.2 (95% CI 2.97, 29)], hypotension [AHR: 6.9 (95% CI; 2.8, 17.1)], coagulopathy [AHR: 2.55 (95% CI: 1.27, 5.1)], hyperthermia [AHR: 2.79 (95% CI; 1.4, 5.5)], and hyperglycemia [AHR: 2.28 (95% CI; 1.13, 4.6)] were positively associated with mortality while undergoing neurosurgery were negatively associated with mortality [AHR: 0.47 (95% CI; 0.27-0 0.82)].

CONCLUSION

The overall incidence of mortality was found to be high. Age, severe and moderate traumatic brain injury, hypotension at admission, coagulopathy, presence of associated aspiration pneumonia, undergoing a neurosurgical procedure, episode of hyperthermia, and hyperglycemia during hospitalization were the independent predictors of time to death. Therefore, interventions to reduce mortality should focus on the prevention of primary injury and secondary brain injury.

Incidence and Predictors of Mortality Among Patients with Traumatic Brain Injury at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia: A Retrospective Follow-Up Study

Background

Traumatic brain injury is a major list of health and socioeconomic problems especially in low- and middle-income countries which influences productive age groups. Differences in patient characteristics, socioeconomic status, intensive care unit admission thresholds, health-care systems, and the availability of varying numbers of intensive care unit (ICU) beds among hospitals had shown to be the causes for the variation on the incidence in mortality following traumatic brain injury across different continents. The aim of this study was to assess the incidence and predictors of mortality among patients with traumatic brain injury at University of Gondar Comprehensive Specialized Hospital.

Methods

A retrospective follow-up study was conducted based on chart review and selected patient charts admitted from January, 2017 to January, 2022. Participants in the study were chosen using a simple random sample procedure that was computer generated. Data was entered with epi-data version 4.6 and analyzed using SPSS version 26. Both bivariate and multivariate logistic regression analyses were used, and in multivariate logistic regression analysis, P-value <0.05 with 95% CI was considered statistically significant.

Results

The magnitude of mortality was 28.8%. Most of the injuries were caused by assault followed by road traffic accident (RTA). About 30% of the subjects presented with severe head injuries and epidural hematoma (EDH) followed by skull fracture were the most common diagnoses on admission. The independent predictors of mortality were male sex (AOR: 6.12, CI: 1.82, 20.5), severe class injury with Glasco coma scale (GCS <9) (AOR: 5.96, CI: 2.07, 17.12), intraoperative hypoxia episode (AOR: 10.5, CI: 2.6-42.1), hyperthermia (AOR: 25, CI: 5.54, 115.16), lack of pre-hospital care (AOR: 2.64 CI: 1.6-4.2), abnormal appearance on both eyes (AOR: 13.4, CI: 5.1-34.6), in-hospital hypoxia episode and having extra-cranial concomitant injury were positively associated with mortality, while on admission, systolic blood pressure (SBP) of 100-149 (AOR: 0.086, CI: 0.016-0.46) was negatively associated with mortality.

Conclusion

The overall mortality rate was considerably high. As a result, traumatic brain injury management should be focused on modifiable factors that increase patient mortality, such as on-admission hypotension, a lack of pre-hospital care, post-operative complications, an intraoperative hypoxia episode, and hyperthermia.

Incidence and predictors of mortality among adult trauma patients admitted to the intensive care units of comprehensive specialized hospitals in Northwest Ethiopia

BACKGROUND

Trauma is the leading cause of morbidity and mortality among adult population in the world. Despite many improvements in technology and care, mortality among trauma patients in the intensive care unit is still high particularly in Ethiopia. However, there is limited evidence on the incidence and predictors of mortality among trauma patients in Ethiopia. Therefore, this study aimed to assess the incidence and predictors of mortality among adult trauma patients admitted to intensive care units.

METHODS

Institutional-based retrospective follow-up study was conducted from January 9, 2019 to January 8, 2022. A total of 421 samples were chosen using simple random sampling. Data were collected with Kobo toolbox software and exported to STATA version 14.1 software for data analysis. Kaplan-Meier failure curve and log-rank test were fitted to explore the survival difference among groups. After the bivariable and multivariable Cox regression analysis, an Adjusted Hazard Ratio (AHR) with 95% Confidence Intervals (CI) was reported to declare the strength of association and statistical significance, respectively.

RESULT

The overall incidence rate of mortality was 5.47 per 100 person-day observation with a median survival time of 14 days. Did not get pre-hospital care (AHR = 2.00, 95%CI 1.13, 3.53), Glasgow Coma Scale (GCS) score < 9 (AHR = 3.89, 95%CI 1.67, 9.06), presence of complications (AHR = 3.71, 95%CI 1.29, 10.64), hypothermia at admission (AHR = 2.11, 95%CI 1.13, 3.93) and hypotension at admission (AHR = 1.93, 95%CI 1.01, 3.66) were found significant predictors of mortality among trauma patients.

CONCLUSION

The incidence rate of mortality among trauma patients in the ICU was high. Did not get pre-hospital care, GCS < 9, presence of complications, hypothermia, and hypotension at admission were significant predictors of mortality. Therefore, healthcare providers should give special attention to trauma patients with low GCS scores, complications, hypotension, and hypothermia and better to strengthen pre-hospital services to reduce the incidence of mortality.

Incidence of mortality and its predictors among patients with head injury admitted to adult intensive care unit at AaBET and ALERT hospitals, Addis Ababa, Ethiopia

Background

Traumatic head injury, referred to as the "silent epidemic", remains a growing public health concern and the leading cause of mortality in young adults, with a disproportionate burden of disability and death occurring in low-income and middle-income countries, including Ethiopia. However, estimates of the traumatic brain injury burden from low and middle-income countries are scarce. The aim of this study was to assess outcome and its associated factors among patients with head injury admitted to the Adult Intensive care unit at AaBET and ALERT hospitals, Addis Ababa, Ethiopia.

Methods

Institution-based retrospective cohort study was conducted at AaBET and ALERT hospitals from February 01, 2019 to January 30, 2020. All head injury patients' records were reviewed. A structured checklist was used to collect data. Binary logistic regression analysis was used to identify factors associated with death among head injury patients.

Result

Out of 205 patients, 178 (86.8%) improved, while 27 (13.2%) died. Road traffic accident was the most common cause of head injury (Adjusted odds ratio (AOR) = 46.3%). Patients with pulse rate admission (AOR = 1.49), NA + level (3.48), type of head injury (AOR = 3.67), mechanical ventilation (AOR = 4.70) were significant predictors of death among patients with head injuries.

Conclusion

The incidence of death among head injury patients was 13.2% (27). Road traffic accident was the leading cause of head injury. Pulse rate, plasma sodium level, penetrating head injury, being on a mechanical ventilator were predictors of death among traumatic head injury (THI) patients treated for head injuries. Prevention of road traffic accidents and continuous awareness creation about the consequences of a road traffic accident is recommended.