Matthew R. Kesinger

A standardized trauma care protocol decreased in-hospital mortality of patients with severe traumatic brain injury at a teaching hospital in a middle-income country

INTRODUCTION Standardized trauma protocols (STP) have reduced morbidity and in-hospital mortality in mature trauma systems. Most hospitals in low- and middle-income countries (LMICs) have not implemented STPs, often because of financial and logistic limitations. We report the impact of an STP designed for the care of trauma patients in the emergency department (ED) at an LMIC hospital on patients with severe traumatic brain injury (STBI). METHODS We developed an STP based on generally accepted best practices and damage control resuscitation for a level I trauma centre in Colombia. Without a pre-existing trauma registry, we adapted an administrative electronic database to capture clinical information of adult patients with TBI, a head abbreviated injury score (AIS) ≥3, and who presented ≤12h from injury. Demographics, mechanisms of injury, and injury severity were compared. Primary outcome was in-hospital mortality. Secondary outcomes were Glasgow Coma Score (GCS), length of hospital and ICU stay, and prevalence of ED interventions recommended in the STP. Logistic regression was used to control for potential confounders. RESULTS The pre-STP group was hospitalized between August 2010 and August 2011, the post-STP group between September 2011 and June 2012. There were 108 patients meeting inclusion criteria, 68 pre-STP implementation and 40 post-STP. The pre- and post-STP groups were similar in age (mean 37.1 vs. 38.6, p=0.644), head AIS (median 4.5 vs. 4.0, p=0.857), Injury Severity Scale (median 25 vs. 25, p=0.757), and initial GCS (median 7 vs. 7, p=0.384). Post-STP in-hospital mortality decreased (38% vs. 18%, p=0.024), and discharge GCS increased (median 10 vs. 14, p=0.034). After controlling for potential confounders, odds of in-hospital mortality post-STP compared to pre-STP were 0.248 (95%CI: 0.074-0.838, p=0.025). Hospital and ICU stay did not significantly change. The use of many ED interventions increased post-STP, including bladder catheterization (49% vs. 73%, p=0.015), hypertonic saline (38% vs. 63%, p=0.014), arterial blood gas draws (25% vs. 43%, p=0.059), and blood transfusions (3% vs. 18%, p=0.008). CONCLUSIONS An STP in an LMIC decreased in-hospital mortality, increased discharge GCS, and increased use of vital ED interventions for patients with STBI. An STP in an LMIC can be implemented and measured without a pre-existing trauma registry.

Hospital-acquired pneumonia is an independent predictor of poor global outcome in severe traumatic brain injury up to 5 years after discharge.

BACKGROUND Long-term outcomes following traumatic brain injury (TBI) correlate with initial head injury severity and other acute factors. Hospital-acquired pneumonia (HAP) is a common complication in TBI. Limited information exists regarding the significance of infectious complications on long-term outcomes after TBI. We sought to characterize risks associated with HAP on outcomes 5 years after TBI. METHODS This study involved data from the merger of an institutional trauma registry and the Traumatic Brain Injury Model Systems outcome data. Individuals with severe head injuries (Abbreviated Injury Scale [AIS] score ≥ 4) who survived to rehabilitation were analyzed. Primary outcome was Glasgow Outcome Scale-Extended (GOSE) at 1, 2, and 5 years. GOSE was dichotomized into low (GOSE score < 6) and high (GOSE score ≥ 6). Logistic regression was used to determine adjusted odds of low GOSE score associated with HAP after controlling for age, sex, head and overall injury severity, cranial surgery, Glasgow Coma Scale (GCS) score, ventilation days, and other important confounders. A general estimating equation model was used to analyze all outcome observations simultaneously while controlling for within-patient correlation. RESULTS A total of 141 individuals met inclusion criteria, with a 30% incidence of HAP. Individuals with and without HAP had similar demographic profiles, presenting vitals, head injury severity, and prevalence of cranial surgery. Individuals with HAP had lower presenting GCS score. Logistic regression demonstrated that HAP was independently associated with low GOSE scores at follow-up (1 year: odds ratio [OR], 6.39; 95% confidence interval [CI], 1.76–23.14; p = 0.005) (2 years: OR, 7.30; 95% CI, 1.87–27.89; p = 0.004) (5-years: OR, 6.89; 95% CI, 1.42–33.39; p = 0.017). Stratifying by GCS score of 8 or lower and early intubation, HAP remained a significant independent predictor of low GOSE score in all strata. In the general estimating equation model, HAP continued to be an independent predictor of low GOSE score (OR, 4.59; 95% CI, 1.82–11.60; p = 0.001). CONCLUSION HAP is independently associated with poor outcomes in severe TBI extending 5 years after injury. This suggests that precautions should be taken to reduce the risk of HAP in individuals with severe TBI. LEVEL OF EVIDENCE Prognostic study, level III.

Comparing National Institutes of Health Stroke Scale Among a Stroke Team and Helicopter Emergency Medical Service Providers

Background and Purpose— The use of tissue-type plasminogen activator is limited to a maximum of 4.5 hours after symptom-onset. Endovascular recanalization may improve outcomes for large-vessel occlusions (LVO), but efficacy decreases with time from symptom-onset. A National Institutes of Health Stroke Scale (NIHSS) score ≥12 is predictive of LVOs and could be used to triage patients if appropriately used by prehospital providers. The NIHSS has been considered too complex and has not been validated in the prehospital setting. Methods— We reviewed all patients with ischemic stroke transported by helicopter emergency medical services (HEMS) to a single comprehensive stroke center in 2010. HEMS NIHSS were compared with in-hospital stroke team physician scores. NIHSS was categorized based on 3 clinically relevant groupings and ability to predict LVO was investigated. Results— Three-hundred five patients met inclusion criteria, 68.9% having LVO. Moderate agreement existed between HEMS and physicians (72.1%; &kgr;=0.571). Interclass correlation was 0.879 (95% confidence interval, 0.849–0.904). Excluding patients with tissue-type plasminogen activator before HEMS transport, there were 216 patients and good agreement (82.7%; &kgr;=0.619). Among patients presenting within 8 hours postonset and NIHSS≥12, HEMS had a sensitivity of 55.9% and positive predictive value of 83.7% in predicting LVO. Conclusions— HEMS providers can administer NIHSS with moderate to good agreement with the receiving stroke team. The use of the NIHSS in HEMS may identify patients with LVO and inform triage decisions for patients ineligible for tissue-type plasminogen activator.

Characterizing Strokes and Stroke Mimics Transported by Helicopter Emergency Medical Services

Abstract Objective: Stroke is the leading cause of disability in the United States with most of these patients being transported by emergency medical services. These providers are the first medical point of contact and must be able to rapidly and accurately identify stroke and transport these patients to the appropriate facilities for treatment. There are many conditions that have similar presentations to stroke and can be mistakenly identified as potential strokes, thereby affecting the initial prehospital triage. Methods: A retrospective observational study examined patients with suspected strokes transported to a single comprehensive stroke center (CSC) by a helicopter emergency medical service (HEMS) agency from 2007 through 2013. Final diagnosis was extracted from the Get with the Guidelines (GWTG) database and hospital discharge diagnosis for those not included in the database. Frequencies of discharge diagnosis were calculated and then stratified into interfacility vs. scene transfers. Results: In this study 6,243 patients were transported: 3,376 patients were screened as potential strokes, of which 2,527 had a final diagnosis of stroke (2,242 ischemic stroke and 285 transient ischemic attack), 166 had intracranial hemorrhage, and 655 were stroke mimics. Stroke mimics were more common among scene transfers (223, 32%) than among interfacility transfers (432, 16%). Conclusions: In our study approximately 20% of potential stroke patients transported via HEMS were mimics. Identifying the need for CSC resources can be an important factor in creating a prehospital triage tool to facilitate patient transport to an appropriate health care facility.

Acute Trauma Factor Associations With Suicidality Across the First 5 Years After Traumatic Brain Injury

OBJECTIVE To determine whether severity of head and extracranial injuries (ECI) is associated with suicidal ideation (SI) or suicide attempt (SA) after traumatic brain injury (TBI). DESIGN Factors associated with SI and SA were assessed in this inception cohort study using data collected 1, 2, and 5 years post-TBI from the National Trauma Data Bank and Traumatic Brain Injury Model Systems (TBIMS) databases. SETTING Level I trauma centers, inpatient rehabilitation centers, and the community. PARTICIPANTS Participants with TBI from 15 TBIMS Centers with linked National Trauma Data Bank trauma data (N=3575). INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES SI was measured via the Patient Health Questionnaire 9 (question 9). SA in the last year was assessed via interview. ECI was measured by the Injury Severity Scale (nonhead) and categorized as none, mild, moderate, or severe. RESULTS There were 293 (8.2%) participants who had SI without SA and 109 (3.0%) who had SA at least once in the first 5 years postinjury. Random effects logit modeling showed a higher likelihood of SI when ECI was severe (odds ratio=2.73; 95% confidence interval, 1.55-4.82; P=.001). Drug use at time of injury was also associated with SI (odds ratio=1.69; 95% confidence interval, 1.11-2.86; P=.015). Severity of ECI was not associated with SA. CONCLUSIONS Severe ECI carried a nearly 3-fold increase in the odds of SI after TBI, but it was not related to SA. Head injury severity and less severe ECI were not associated with SI or SA. These findings warrant additional work to identify factors associated with severe ECI that make individuals more susceptible to SI after TBI.

Probabilistic matching approach to link deidentified data from a trauma registry and a Traumatic Brain Injury Model System center

Objective There is no civilian traumatic brain injury database that captures patients in all settings of the care continuum. The linkage of such databases would yield valuable insight into possible care interventions. Thus, the objective of this article is to describe the creation of an algorithm used to link the Traumatic Brain Injury Model System (TBIMS) to trauma data in state and national trauma databases. Design The TBIMS data from a single center was randomly divided into two sets. One subset was used to generate a probabilistic linking algorithm to link the TBIMS data to the centers trauma registry. The other subset was used to validate the algorithm. Medical record numbers were obtained and used as unique identifiers to measure the quality of the linkage. Novel methods were used to maximize the positive predictive value. Results The algorithm generation subset had 121 patients. It had a sensitivity of 88% and a positive predictive value of 99%. The validation subset consisted of 120 patients and had a sensitivity of 83% and a positive predictive value of 99%. Conclusions The probabilistic linkage algorithm can accurately link TBIMS data across systems of trauma care. Future studies can use this database to answer meaningful research questions regarding the long-term impact of the acute trauma complex on health care utilization and recovery across the care continuum in traumatic brain injury populations.

Voluntary male medical circumcision.

This forum debate article is in response to the editorial by Professor Ncayiyana concerning the national circumcision programme in South Africa (S Afr Med J 2011;101:775-777). Other articles in this debate include: Venter et al. S Afr Med J 2012;102(3):124-125. Ncayiyana. S Afr Med J 2012;102(3): 125-126.

Employment Stability in the First 5 Years After Moderate-to-Severe Traumatic Brain Injury

OBJECTIVE To characterize employment stability and identify predictive factors of employment stability in working-age individuals after moderate-to-severe traumatic brain injury (TBI) that may be clinically addressed. DESIGN Longitudinal observational study of an inception cohort from the Traumatic Brain Injury Model Systems National Database (TBIMS-NDB) using data at years 1, 2, and 5 post-TBI. SETTING Inpatient rehabilitation centers with telephone follow-up. PARTICIPANTS Individuals enrolled in the TBIMS-NDB since 2001, aged 18-59, with employment data at 2 or more follow-up interviews at years 1, 2, and 5 (N=5683). INTERVENTIONS Not applicable. MAIN OUTCOME MEASURE Employment stability, categorized using post-TBI employment data as no paid employment (53.25%), stably (27.20%), delayed (10.24%), or unstably (9.31%) employed. RESULTS Multinomial regression analyses identified predictive factors of employment stability, including younger age, white race, less severe injuries, preinjury employment, higher annual earnings, male sex, higher education, transportation independence postinjury, and no anxiety or depression at 1 year post-TBI. CONCLUSIONS Employment stability serves as an important measure of productivity post-TBI. Psychosocial, clinical, environmental, and demographic factors predict employment stability post-TBI. Notable predictors include transportation independence as well as the presence of anxiety and depression at year 1 post-TBI as potentially modifiable intervention targets.