Does Health Care Insurance Affect Outcomes after Traumatic Brain Injury? Analysis of the National Trauma Databank

2010 ◽  
Vol 76 (10) ◽  
pp. 1108-1111 ◽  
Author(s):  
Rodrigo F. Alban ◽  
Cherisse Berry ◽  
Eric Ley ◽  
James Mirocha ◽  
Daniel R. Margulies ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Confidence Interval ◽  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Injury Severity ◽  
Unit Length ◽  
Multivariate Logistic Regression Analysis ◽  
National Trauma ◽  
Severe Tbi

Increasing evidence indicates insurance status plays a role in the outcome of trauma patients; however its role on outcomes after traumatic brain injury (TBI) remains unclear. A retrospective review was queried within the National Trauma Data Bank. Moderate to severe TBI insured patients were compared with their uninsured counterparts with respect to demographics, Injury Severity Score, Glasgow Coma Scale score, and outcome. Multivariate logistic regression analysis was used to determine independent risk factors for mortality. Of 52,344 moderate to severe TBI patients, 41,711 (79.7%) were insured. Compared with the uninsured, insured TBI patients were older (46.1 ± 22.4 vs 37.3 ± 16.3 years, P < 0.0001), more severely injured (ISS > 16: 78.4% vs 74.4%, P < 0.0001), had longer intensive care unit length of stay (6.0 ± 9.4 vs 5.1 ± 7.6, P < 0.0001) and had higher mortality (9.3% vs 8.0%, P < 0.0001). However, when controlling for confounding variables, the presence of insurance had a significant protective effect on mortality (adjusted odds ratio 0.89; 95% confidence interval: 0.82-0.97, P = 0.007). This effect was most noticeable in patients with head abbreviated injury score = 5 (adjusted odds ratio 0.7; 95% confidence interval: 0.6-0.8, P < 0.0001), indicating insured severe TBI patients have improved outcomes compared with their uninsured counterparts. There is no clear explanation for this finding however the role of insurance in outcomes after trauma remains a topic for further investigation.

Risk Factors for Withdrawal of Life-Sustaining Treatment in Severe Traumatic Brain Injury

2020 ◽  
Vol 86 (1) ◽  
pp. 8-14
Author(s):  
Sahil Gambhir ◽  
Areg Grigorian ◽  
Divya Ramakrishnan ◽  
Catherine M. Kuza ◽  
Brian Sheehan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Traumatic Brain Injury ◽  
Risk Factor ◽  
Brain Injury ◽  
Confidence Interval ◽  
Odds Ratio ◽  
Independent Risk Factor ◽  
Factors Associated ◽  
Severe Tbi ◽  
Life Sustaining Treatment

Studies demonstrate a significant variation in decision-making regarding withdrawal of life-sustaining treatment (WLST) practices for patients with severe traumatic brain injury (TBI). We investigated risk factors associated with WLST in severe TBI. We hypothesized age ≥65 years would be an independent risk factor. In addition, we compared survivors with patients who died in hospital after WLST to identify potential factors associated with in-hospital mortality. The Trauma Quality Improvement Program (2010–2016) was queried for patients with severe TBI of the head. Patients were compared by age (age < 65 and age ≥ 65 years) and survival after WLST (survivors versus non-survivors) at hospitalization discharge. A multivariable logistic regression model was used for analysis. From 1,403,466 trauma admissions, 328,588 (23.4%) patients had severe TBI. Age ≥ 65 years was associated with increased WLST (odds ratio: 1.76, confidence interval: 1.59–1.94, P < 0.001), whereas nonwhite race was associated with decreased WLST (odds ratio: 0.60, confidence interval: 0.55–0.65, P < 0.001). Compared with non-survivors of WLST, survivors were older (74 vs 61 years, P < 0.001) and more likely to have comorbidities such as hypertension (57% vs 38.5%, P < 0.001). Age ≥ 65 years was an independent risk factor for WLST, and nonwhite race was associated with decreased WLST. Patients surviving until discharge after WLST decision were older (≥74 years) and had multiple comorbidities.

scholarly journals Young Age as a Risk Factor for Impaired Cerebral Autoregulation after Moderate to Severe Pediatric Traumatic Brain Injury

2008 ◽  
Vol 108 (4) ◽  
pp. 588-595 ◽  
Author(s):  
Serena S. Freeman ◽  
Yuthana Udomphorn ◽  
William M. Armstead ◽  
Dana M. Fisk ◽  
Monica S. Vavilala
Keyword(s):  
Traumatic Brain Injury ◽  
Risk Factor ◽  
Brain Injury ◽  
Confidence Interval ◽  
Glasgow Coma Scale ◽  
Glasgow Coma Scale Score ◽  
Cerebral Autoregulation ◽  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Coma Scale

Background Little is known about age and cerebral autoregulation in children with traumatic brain injury (TBI). The authors compared cerebral autoregulation between young (aged &lt;4 yr) and older (aged &gt; or =4 yr) children with TBI. Methods After University of Washington's institutional review board approval, a retrospective analysis of prospectively collected data (May 2002 and June 2007) was performed. Eligibility criteria included age 16 yr or younger, moderate to severe (admission Glasgow Coma Scale score &lt;13) TBI, TBI on computed tomography scan, and tracheal intubation. Cerebral autoregulation testing was performed within 72 h after TBI, and autoregulation was quantified using the autoregulatory index. An autoregulatory index less than 0.4 represents impaired cerebral autoregulation. The 12-month Glasgow outcome score was measured. Data are presented as mean +/- SD or range. Results Thirty-seven children (8.9 +/- 5.1 yr; 0.8-16 yr) were enrolled. Children younger than 4 yr had a higher incidence of impaired cerebral autoregulation (8 of 10 vs. 7 of 27; P = 0.006) and worse 12-month outcome (Glasgow outcome score 3.0 +/- 1.0 vs. 4.0 +/- 1.0; P = 0.02) than older children. Age less than 4 yr (adjusted odds ratio, 12.2; 95% confidence interval, 1.5-98.5) and low Glasgow Coma Scale score (adjusted odds ratio for higher Glasgow Coma Scale, 0.53; 95% confidence interval, 0.30-0.96) were independently associated with impaired cerebral autoregulation. Conclusions Age less than 4 yr was a risk factor for impaired cerebral autoregulation, independent of TBI severity. Age-related factors may play a role in the mechanisms maintaining or worsening cerebral autoregulation in children after TBI.

scholarly journals Comparison of Outcomes in Level I vs Level II Trauma Centers in Patients Undergoing Craniotomy or Craniectomy for Severe Traumatic Brain Injury

Neurosurgery ◽  
2019 ◽  
Vol 86 (1) ◽  
pp. 107-111 ◽  
Author(s):  
Nohra Chalouhi ◽  
Nikolaos Mouchtouris ◽  
Fadi Al Saiegh ◽  
Robert M Starke ◽  
Thana Theofanis ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Confidence Interval ◽  
Hospital Mortality ◽  
Odds Ratio ◽  
Functional Independence ◽  
Trauma Centers ◽  
Level Ii ◽  
Severe Tbi ◽  
Level I

ABSTRACTBACKGROUNDTraumatic brain injury (TBI) carries a devastatingly high rate of morbidity and mortality.OBJECTIVETo assess whether patients undergoing craniotomy/craniectomy for severe TBI fare better at level I than level II trauma centers in a mature trauma system.METHODSThe data were extracted from the Pennsylvania Trauma Outcome Study database. Inclusion criteria were patients &gt; 18 yr with severe TBI (Glasgow Coma Scale [GCS] score less than 9) undergoing craniotomy or craniectomy in the state of Pennsylvania from January 1, 2002 through September 30, 2017.RESULTSOf 3980 patients, 2568 (64.5%) were treated at level I trauma centers and 1412 (35.5%) at level II centers. Baseline characteristics were similar between the 2 groups except for significantly worse GCS scores at admission in level I centers (P = .002). The rate of in-hospital mortality was 37.6% in level I centers vs 40.4% in level II centers (P = .08). Mean Functional Independence Measure (FIM) scores at discharge were significantly higher in level I (10.9 ± 5.5) than level II centers (9.8 ± 5.3; P &lt; .005). In multivariate analysis, treatment at level II trauma centers was significantly associated with in-hospital mortality (odds ratio, 1.2; 95% confidence interval, 1.03-1.37; P = .01) and worse FIM scores (odds ratio, 1.4; 95% confidence interval, 1.1-1.7; P = .001). Mean hospital and ICU length of stay were significantly longer in level I centers (P &lt; .005).CONCLUSIONThis study showed superior functional outcomes and lower mortality rates in patients undergoing a neurosurgical procedure for severe TBI in level I trauma centers.

Self-awareness four years after severe traumatic brain injury: discordance between the patient’s and relative’s complaints. Results from the PariS-TBI study

2017 ◽  
Vol 32 (5) ◽  
pp. 692-704 ◽  
Author(s):  
Camille Chesnel ◽  
Claire Jourdan ◽  
Eleonore Bayen ◽  
Idir Ghout ◽  
Emmanuelle Darnoux ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Severe Traumatic Brain Injury ◽  
Significant Relationship ◽  
Injury Severity ◽  
Chronic Phase ◽  
Functional Independence ◽  
Severe Tbi

Objective: To evaluate the patient’s awareness of his or her difficulties in the chronic phase of severe traumatic brain injury (TBI) and to determine the factors related to poor awareness. Design/Setting/Subjects: This study was part of a larger prospective inception cohort study of patients with severe TBI in the Parisian region (PariS-TBI study). Intervention/Main measures: Evaluation was carried out at four years and included the Brain Injury Complaint Questionnaire (BICoQ) completed by the patient and his or her relative as well as the evaluation of impairments, disability and quality of life. Results: A total of 90 patient-relative pairs were included. Lack of awareness was measured using the unawareness index that corresponded to the number of discordant results between the patient and relative in the direction of under evaluation of difficulties by the patient. The only significant relationship found with lack of awareness was the subjective burden perceived by the relative (Zarit Burden Inventory) ( r = 0.5; P < 0.00001). There was no significant relationship between lack of awareness and injury severity, pre-injury socio-demographic data, cognitive impairments, mood disorders, functional independence (Barthel index), global disability (Glasgow Outcome Scale), return to work at four years or quality of life (Quality Of Life after Brain Injury scale (QOLIBRI)). Conclusion: Lack of awareness four years post severe TBI was not related to the severity of the initial trauma, sociodemographic data, the severity of impairments, limitations of activity and participation, or the patient’s quality of life. However, poor awareness did significantly influence the weight of the burden perceived by the relative.

scholarly journals Moderate and severe traumatic brain injury: effect of blood alcohol concentration on Glasgow Coma Scale score and relation to computed tomography findings

2015 ◽  
Vol 122 (1) ◽  
pp. 211-218 ◽  
Author(s):  
Nils Petter Rundhaug ◽  
Kent Gøran Moen ◽  
Toril Skandsen ◽  
Kari Schirmer-Mikalsen ◽  
Stine B. Lund ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Injury Severity ◽  
Blood Alcohol Concentration ◽  
Alcohol Concentration ◽  
Dependent Manner ◽  
Blood Alcohol ◽  
Severe Tbi ◽  
Gcs Score ◽  
Dose Dependent

OBJECT The influence of alcohol is assumed to reduce consciousness in patients with traumatic brain injury (TBI), but research findings are divergent. The aim of this investigation was to study the effects of different levels of blood alcohol concentration (BAC) on the Glasgow Coma Scale (GCS) scores in patients with moderate and severe TBI and to relate the findings to brain injury severity based on the admission CT scan. METHODS In this cohort study, 265 patients (age range 16–70 years) who were admitted to St. Olavs University Hospital with moderate and severe TBI during a 7-year period were prospectively registered. Of these, 217 patients (82%) had measured BAC. Effects of 4 BAC groups on GCS score were examined with ordinal logistic regression analyses, and the GCS scores were inverted to give an OR > 1. The Rotterdam CT score based on admission CT scan was used to adjust for brain injury severity (best score 1 and worst score 6) by stratifying patients into 2 brain injury severity groups (Rotterdam CT scores of 1–3 and 4–6). RESULTS Of all patients with measured BAC, 91% had intracranial CT findings and 43% had BAC > 0 mg/dl. The median GCS score was lower in the alcohol-positive patients (6.5, interquartile range [IQR] 4–10) than in the alcohol-negative patients (9, IQR 6–13; p < 0.01). No significant differences were found between alcohol-positive and alcohol-negative patients regarding other injury severity variables. Increasing BAC was a significant predictor of lower GCS score in a dose-dependent manner in age-adjusted analyses, with OR 2.7 (range 1.4–5.0) and 3.2 (range 1.5–6.9) for the 2 highest BAC groups (p < 0.01). Subgroup analyses showed an increasing effect of BAC group on GCS scores in patients with Rotterdam CT scores of 1–3: OR 3.1 (range 1.4–6.6) and 6.7 (range 2.7–16.7) for the 2 highest BAC groups (p < 0.01). No such relationship was found in patients with Rotterdam CT scores of 4–6 (p = 0.14–0.75). CONCLUSIONS Influence of alcohol significantly reduced the GCS score in a dose-dependent manner in patients with moderate and severe TBI and with Rotterdam CT scores of 1–3. In patients with Rotterdam CT scores of 4–6, and therefore more CT findings indicating increased intracranial pressure, the brain injury itself seemed to overrun the depressing effect of the alcohol on the CNS. This finding is in agreement with the assumption of many clinicians in the emergency situation.

Abstract 230: Differential Effects of Prehospital Hypotension and Injury Severity in Isolated vs. Multisystem Major Traumatic Brain Injury

Circulation ◽  
2018 ◽  
Vol 138 (Suppl_2) ◽  
Author(s):  
Daniel W Spaite ◽  
Chengcheng Hu ◽  
Bentley J Bobrow ◽  
Bruce J Barnhart ◽  
Vatsal Chikani ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Injury Severity ◽  
Treatment Effectiveness ◽  
Guideline Implementation ◽  
Body Region ◽  
Head Region ◽  
Differential Effects ◽  
Severe Tbi

Background: In hospital-based studies, hypotension (HT, SBP <90) is more likely to occur in multisystem traumatic brain injury (MTBI) than isolated (ITBI). However, there are few EMS studies on this issue. Hypothesis: Prehospital HT is associated with differential effects in MTBI and ITBI and these effects are influenced by the severity of primary brain injury. Methods: Inclusion: TBI cases in the EPIC Study (NIH 1R01NS071049) before TBI guideline implementation (1/07-3/14). ITBI: Major TBI cases (CDC Barell Matrix Type 1) that had no injury with ICD9-based Regional Severity Score [RSS (AIS equivalent)] ≥3 in any other body region. MTBI: Type 1 TBI plus at least one non-head region injury with RSS ≥3. Results: Included were 13,435 cases [Excl: age <10 (5.9%), missing data (6.2%)]. 10,374 (77.2%) were ITBI, 3061 (22.8%) MTBI. Mortality: ITBI: 7.7% (797/10,374), MTBI: 19.2% (587/3061, p<0.0001). Prehospital HT occurred 3.5 times more often in MTBI (14.8%, 453/3061 vs 4.2%, 437/10,374; p<0.0001). Among HT cases, 40.8% (185/453) with MTBI died vs 30.9% with ITBI (135/437; p<0.0001). In the hypotensive moderate/severe TBI cohort (RSS-Head 3/4), MTBI mortality was 2.4 times higher (17.2%, 40/232) than ITBI (7.1%, 17/240, p = 0.001). However, in the hypotensive very/extremely severe TBI group (RSS-Head 5/6), mortality was almost identical in MTBI (73.4%, 141/192) and ITBI (72.1%, 116/161, p = 0.864). Conclusion: Among major TBI patients with prehospital HT, those with MTBI were much more likely to die than those with ITBI. However, this association varied dramatically with TBI severity. In mod/severe TBI cases with HT, MTBI mortality was 2.4 times higher than in ITBI. In contrast, in very/extremely severe TBI with HT, there was no identifiable mortality difference. Thus, in cases with substantial potential to survive the primary brain injury (mod/severe), outcome is markedly worse in patients with multisystem injuries. However, in very/extremely severe TBI, non-head region injuries have no apparent association with mortality. This may be because the TBI is the primary factor leading to death in these cases. The main EPIC study is evaluating whether this severity-based difference in “effect” has implications for TBI guideline treatment effectiveness.

White Matter Disruption in Pediatric Traumatic Brain Injury: Results from ENIGMA Pediatric Moderate to Severe Traumatic Brain Injury

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012222
Author(s):  
Emily L Dennis ◽  
Karen Caeyenberghs ◽  
Kristen R Hoskinson ◽  
Tricia L Merkley ◽  
Stacy J Suskauer ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
White Matter ◽  
Behavioral Problems ◽  
Child Behavior Checklist ◽  
Injury Severity ◽  
Meta Analysis ◽  
Post Injury ◽  
Severe Tbi ◽  
Future Work

Objective:Our study addressed aims: (1) test the hypothesis that moderate-severe TBI in pediatric patients is associated with widespread white matter (WM) disruption; (2) test the hypothesis that age and sex impact WM organization after injury; and (3) examine associations between WM organization and neurobehavioral outcomes.Methods:Data from ten previously enrolled, existing cohorts recruited from local hospitals and clinics were shared with the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Pediatric msTBI working group. We conducted a coordinated analysis of diffusion MRI (dMRI) data using the ENIGMA dMRI processing pipeline.Results:Five hundred and seven children and adolescents (244 with complicated mild to severe TBI [msTBI] and 263 controls) were included. Patients were clustered into three post-injury intervals: acute/subacute - <2 months, post-acute - 2-6 months, chronic - 6+ months. Outcomes were dMRI metrics and post-injury behavioral problems as indexed by the Child Behavior Checklist (CBCL). Our analyses revealed altered WM diffusion metrics across multiple tracts and all post-injury intervals (effect sizes ranging between d=-0.5 to -1.3). Injury severity is a significant contributor to the extent of WM alterations but explained less variance in dMRI measures with increasing time post-injury. We observed a sex-by-group interaction: females with TBI had significantly lower fractional anisotropy in the uncinate fasciculus than controls (𝞫=0.043), which coincided with more parent-reported behavioral problems (𝞫=-0.0027).Conclusions:WM disruption after msTBI is widespread, persistent, and influenced by demographic and clinical variables. Future work will test techniques for harmonizing neurocognitive data, enabling more advanced analyses to identify symptom clusters and clinically-meaningful patient subtypes.

scholarly journals Severe Traumatic Brain Injury (TBI) Modulates the Kinetic Profile of the Inflammatory Response of Markers for Neuronal Damage

2020 ◽  
Vol 9 (6) ◽  
pp. 1667 ◽  
Author(s):  
Cora Rebecca Schindler ◽  
Thomas Lustenberger ◽  
Mathias Woschek ◽  
Philipp Störmann ◽  
Dirk Henrich ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Inflammatory Response ◽  
Calcium Binding ◽  
Injury Severity ◽  
Neuronal Damage ◽  
Severe Trauma ◽  
Multiple Injuries ◽  
Kinetic Profile ◽  
Severe Tbi

The inflammatory response plays an important role in the pathophysiology of multiple injuries. This study examines the effects of severe trauma and inflammatory response on markers of neuronal damage. A retrospective analysis of prospectively collected data in 445 trauma patients (Injury Severity Score (ISS) ≥ 16) is provided. Levels of neuronal biomarkers (calcium-binding Protein B (S100b), Enolase2 (NSE), glial fibrillary acidic protein (GFAP)) and Interleukins (IL-6, IL-10) in severely injured patients (with polytrauma (PT)) without traumatic brain injury (TBI) or with severe TBI (PT+TBI) and patients with isolated TBI (isTBI) were measured upon arrival until day 5. S100b, NSE, GFAP levels showed a time-dependent decrease in all cohorts. Their expression was higher after multiple injuries (p = 0.038) comparing isTBI. Positive correlation of marker level after concomitant TBI and isTBI (p = 0.001) was noted, while marker expression after PT appears to be independent. Highest levels of IL-6 and -10 were associated to PT und lowest to isTBI (p < 0.001). In all groups pro-inflammatory response (IL-6/-10 ratio) peaked on day 2 and at a lower level on day 4. Severe TBI modulates kinetic profile of inflammatory response by reducing interleukin expression following trauma. Potential markers for neuronal damage have a limited diagnostic value after severe trauma because undifferentiated increase.

Standardizing ICU management of pediatric traumatic brain injury is associated with improved outcomes at discharge

2016 ◽  
Vol 17 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Thomas M. O’Lynnger ◽  
Chevis N. Shannon ◽  
Truc M. Le ◽  
Amber Greeno ◽  
Dai Chung ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Critical Care ◽  
Brain Injury ◽  
Pediatric Patients ◽  
Injury Severity ◽  
Protocol Implementation ◽  
Discharge Disposition ◽  
Ordered Logistic Regression ◽  
Before And After ◽  
Severe Tbi

OBJECT The goal of critical care in treating traumatic brain injury (TBI) is to reduce secondary brain injury by limiting cerebral ischemia and optimizing cerebral blood flow. The authors compared short-term outcomes as defined by discharge disposition and Glasgow Outcome Scale scores in children with TBI before and after the implementation of a protocol that standardized decision-making and interventions among neurosurgeons and pediatric intensivists. METHODS The authors performed a retrospective pre- and postprotocol study of 128 pediatric patients with severe TBI, as defined by Glasgow Coma Scale (GCS) scores < 8, admitted to a tertiary care center pediatric critical care unit between April 1, 2008, and May 31, 2014. The preprotocol group included 99 patients, and the postprotocol group included 29 patients. The primary outcome of interest was discharge disposition before and after protocol implementation, which took place on April 1, 2013. Ordered logistic regression was used to assess outcomes while accounting for injury severity and clinical parameters. Favorable discharge disposition included discharge home. Unfavorable discharge disposition included discharge to an inpatient facility or death. RESULTS Demographics were similar between the treatment periods, as was injury severity as assessed by GCS score (mean 5.43 preprotocol, mean 5.28 postprotocol; p = 0.67). The ordered logistic regression model demonstrated an odds ratio of 4.0 of increasingly favorable outcome in the postprotocol cohort (p = 0.007). Prior to protocol implementation, 63 patients (64%) had unfavorable discharge disposition and 36 patients (36%) had favorable discharge disposition. After protocol implementation, 9 patients (31%) had unfavorable disposition, while 20 patients (69%) had favorable disposition (p = 0.002). In the preprotocol group, 31 patients (31%) died while 6 patients (21%) died after protocol implementation (p = 0.04). CONCLUSIONS Discharge disposition and mortality rates in pediatric patients with severe TBI improved after implementation of a standardized protocol among caregivers based on best-practice guidelines.

Risk Factors for Conversion to Permanent Ventricular Shunt in Patients Receiving Therapeutic Ventriculostomy for Traumatic Brain Injury

Neurosurgery ◽  
2011 ◽  
Vol 68 (1) ◽  
pp. 85-88 ◽  
Author(s):  
David F. Bauer ◽  
Gerald. McGwin ◽  
Sherry M. Melton ◽  
Richard L. George ◽  
James M. Markert
Keyword(s):  
Risk Factors ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Length Of Stay ◽  
Confidence Interval ◽  
Odds Ratio ◽  
Average Length ◽  
Discharge Disposition ◽  
Csf Diversion ◽  
History Of Culture

Abstract BACKGROUND: Intracranial pressure is routinely monitored in patients with severe traumatic brain injury (TBI). Patients with TBI sometimes develop hydrocephalus, requiring permanent cerebrospinal fluid (CSF) diversion. OBJECTIVE: To quantify the need for permanent CSF diversion in patients with TBI. METHODS: Patients who received a ventriculostomy after TBI between June 2007 and July 2008 were identified, and their medical records were abstracted to a database. RESULTS: Sixteen of 71 patients (22.5%) receiving a ventriculostomy required a ventriculoperitoneal or ventriculoatrial shunt before discharge from the hospital. The average number of days between ventriculostomy and shunt was 18.3. Characteristics that predispose these patients to require permanent CSF diversion include the need for craniotomy within 48 hours of admission (odds ratio, 5.20; 95% confidence interval, 1.48-18.35) and history of culture-positive CSF (odds ratio, 5.52; 95% confidence interval, 1.19-25.52). Length of stay was increased in patients receiving permanent CSF diversion (average length of stay, 61 vs 31 days; P = .04). Patient discharge disposition was similar between shunted and nonshunted patients. CONCLUSION: In this retrospective study, 22% of TBI patients who required a ventriculostomy eventually needed permanent CSF diversion. Patients with TBI should be assessed for the need for permanent CSF diversion before discharge from the hospital. Care must be taken to prevent ventriculitis. Future studies are needed to evaluate more thoroughly the risk factors for the need for permanent CSF diversion in this patient population.

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