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Figure 1. COBRIT Study Flow
Figure 1. COBRIT Study Flow

COBRIT indicates Citicoline Brain Injury Treatment Trial; GCS, Glasgow Coma Scale

Figure 2. Kaplan-Meier Survival Curves Stratified by Treatment
Figure 2. Kaplan-Meier Survival Curves Stratified by Treatment

TBI indicates traumatic brain injury.

Table 1. Baseline Characteristics, Interventions (N = 1213)
Table 1. Baseline Characteristics, Interventions (N = 1213)
Table 2. Results for the Primary Analysis: 90-Day Evaluationa
Table 2. Results for the Primary Analysis: 90-Day Evaluationa
Table 3. Results for the Secondary Analysis: 180-Day Evaluationa
Table 3. Results for the Secondary Analysis: 180-Day Evaluationa
1.
Haddad SH, Arabi YM. Critical care management of severe traumatic brain injury in adults.  Scand J Trauma Resusc Emerg Med. 2012;20:1222304785PubMedGoogle ScholarCrossref
2.
Kelso ML, Pauly JR. Therapeutic targets for neuroprotection and/or enhancement of functional recovery following traumatic brain injury.  Prog Mol Biol Transl Sci. 2011;98:85-13121199771PubMedGoogle Scholar
3.
Dixon CE, Ma X, Marion DW. Effects of CDP-choline treatment on neurobehavioral deficits after TBI and on hippocampal and neocortical acetylcholine release.  J Neurotrauma. 1997;14(3):161-1699104933PubMedGoogle ScholarCrossref
4.
Başkaya MK, Doğan A, Rao AM, Dempsey RJ. Neuroprotective effects of citicoline on brain edema and blood-brain barrier breakdown after traumatic brain injury.  J Neurosurg. 2000;92(3):448-45210701532PubMedGoogle ScholarCrossref
5.
Dempsey RJ, Raghavendra Rao VL. Cytidinediphosphocholine treatment to decrease traumatic brain injury–induced hippocampal neuronal death, cortical contusion volume, and neurological dysfunction in rats.  J Neurosurg. 2003;98(4):867-87312691414PubMedGoogle ScholarCrossref
6.
Cohadon F, Richer E, Poletto B. A precursor of phospholipids in the treatment of severe traumatic comas.  Neurochirurgie. 1982;28(4):287-2906759958PubMedGoogle Scholar
7.
Calatayud Maldonado V, Calatayud Pérez JB, Aso Escario J. Effects of CDP-choline on the recovery of patients with head injury.  J Neurol Sci. 1991;103:(suppl)  S15-S181940960PubMedGoogle ScholarCrossref
8.
Levin HS. Treatment of postconcussional symptoms with CDP-choline.  J Neurol Sci. 1991;103:(suppl)  S39-S421940965PubMedGoogle ScholarCrossref
9.
Kennedy EP. The synthesis of cytidine diphosphate choline, cytidine diphosphate ethanolamine, and related compounds.  J Biol Chem. 1956;222(1):185-19113366992PubMedGoogle Scholar
10.
Adibhatla RM, Hatcher JF. Citicoline mechanisms and clinical efficacy in cerebral ischemia.  J Neurosci Res. 2002;70(2):133-13912271462PubMedGoogle ScholarCrossref
11.
Secades JJ. Citicoline: pharmacological and clinical review, 2010 update.  Rev Neurol. 2011;52:(suppl 2)  S1-S6221432836PubMedGoogle Scholar
12.
Lozano R. CDP-choline in the treatment of cranio-encephalic traumata.  J Neurol Sci. 1991;103:(suppl)  S43-S471940966PubMedGoogle ScholarCrossref
13.
Arenth PM, Russell KC, Ricker JH, Zafonte RD. CDP-choline as a biological supplement during neurorecovery: a focused review.  PM R. 2011;3(6):(suppl 1)  S123-S13121703569PubMedGoogle ScholarCrossref
14.
Alexandrov AV. Citicoline: Ferrer Internacional.  Curr Opin Investig Drugs. 2001;2(12):1757-176211892942PubMedGoogle Scholar
15.
Williams DH, Levin HS, Eisenberg HM. Mild head injury classification.  Neurosurgery. 1990;27(3):422-4282234336PubMedGoogle ScholarCrossref
16.
Zafonte R, Friedewald WT, Lee SM,  et al.  The Citicoline Brain Injury Treatment (COBRIT) trial: design and methods.  J Neurotrauma. 2009;26(12):2207-221619803786PubMedGoogle ScholarCrossref
17.
Brain Trauma Foundation, American Association of Neurological Surgeons, Joint Section on Neurotrauma and Critical Care.  Trauma systems.  J Neurotrauma. 2000;17(6-7):457-46210937887PubMedGoogle Scholar
18.
Bagiella E, Novack TA, Ansel B,  et al.  Measuring outcome in traumatic brain injury treatment trials: recommendations from the Traumatic Brain Injury Clinical Trials Network.  J Head Trauma Rehabil. 2010;25(5):375-38220216459PubMedGoogle ScholarCrossref
19.
Reitan R. Trail Making Test: Manual for Administration and Scoring. Tucson, AZ: Reitan Neuropsychology Laboratory; 1992
20.
Reitan R, Wolfson D. The Halstead-Reith Neuropsychological Test Battery: Theory and Clinical Interpretation. Tuscon, AZ: Neuropsychological Press; 1993
21.
Wilson JT, Pettigrew LE, Teasdale GM. Structured interviews for the Glasgow Outcome Scale and the extended Glasgow Outcome Scale: guidelines for their use.  J Neurotrauma. 1998;15(8):573-5859726257PubMedGoogle ScholarCrossref
22.
Benton A, Sivan AB, Hamsher KD, Varney NR, Spreen O. Contributions to Neuropsychological Assessment: A Clinical Manual. New York, NY: Oxford University Press; 1994
23.
Delis D, Kramer JH, Kaplan E, Ober BA. California Verbal Learning Test, Second Edition, Adult Version. San Antonio, TX: PsychCorp; 2000
24.
Wechsler D. Wechsler Adult Intelligence Scale (WAIS-III). San Antonio, TX: Psychological Corp; 1997
25.
Dodrill CB. A neuropsychological battery for epilepsy.  Epilepsia. 1978;19(6):611-623738230PubMedGoogle ScholarCrossref
26.
Dikmen SMJ, Winn HR, Temkin N. Neuropsychological outcome at 1 year post head injury.  Neuropsychology. 1995;9(1):80-90Google ScholarCrossref
27.
Pocock SJ. Clinical trials with multiple outcomes: a statistical perspective on their design, analysis, and interpretation.  Control Clin Trials. 1997;18(6):530-5499408716PubMedGoogle ScholarCrossref
28.
O’Brien PC. Procedures for comparing samples with multiple endpoints.  Biometrics. 1984;40(4):1079-10876534410PubMedGoogle ScholarCrossref
29.
Tilley BC, Marler J, Geller NL,  et al.  Use of a global test for multiple outcomes in stroke trials with application to the National Institute of Neurological Disorders and Stroke t-PA Stroke Trial.  Stroke. 1996;27(11):2136-21428898828PubMedGoogle ScholarCrossref
30.
Corrigan JD, Harrison-Felix C, Bogner J, Dijkers M, Terrill MS, Whiteneck G. Systematic bias in traumatic brain injury outcome studies because of loss to follow-up.  Arch Phys Med Rehabil. 2003;84(2):153-16012601644PubMedGoogle ScholarCrossref
31.
Bryant RA, Harvey AG. Postconcussive symptoms and posttraumatic stress disorder after mild traumatic brain injury.  J Nerv Ment Dis. 1999;187(5):302-30510348085PubMedGoogle ScholarCrossref
32.
Bryant RA, Harvey AG. The influence of traumatic brain injury on acute stress disorder and post-traumatic stress disorder following motor vehicle accidents.  Brain Inj. 1999;13(1):15-229972438PubMedGoogle ScholarCrossref
33.
Langley J, Johnson S, Slatyer M, Skilbeck CE, Thomas M. Issues of loss to follow-up in a population study of traumatic brain injury (TBI) followed to 3 years post-trauma.  Brain Inj. 2010;24(7-8):939-94720545449PubMedGoogle ScholarCrossref
34.
LoBello S, Underhill AT, Fine PR. Loss to follow-up and potential systematic bias in survivors of traumatic brain injury 12 months postinjury [poster 22].  Arch Phys Med Rehabil. 2003;84(10):A9Google ScholarCrossref
35.
Rubin D. Multiple Imputation for Non-response in Surveys. New York, NY: John Wiley; 1997
36.
Little RJA, Rubin DB. Statistical Analysis With Missing Data. New York, NY: John Wiley; 1987
37.
Team RDC. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2008
38.
Rohling ML, Binder LM, Demakis GJ, Larrabee GJ, Ploetz DM, Langhinrichsen-Rohling J. A meta-analysis of neuropsychological outcome after mild traumatic brain injury: re-analyses and reconsiderations of Binder et al. (1997), Frencham et al. (2005), and Pertab et al. (2009).  Clin Neuropsychol. 2011;25(4):608-62321512956PubMedGoogle ScholarCrossref
39.
Dikmen S, Machamer J, Temkin N. Mild head injury: facts and artifacts.  J Clin Exp Neuropsychol. 2001;23(6):729-73811910540PubMedGoogle ScholarCrossref
40.
Hernández AV, Steyerberg EW, Taylor GS, Marmarou A, Habbema JD, Maas AI. Subgroup analysis and covariate adjustment in randomized clinical trials of traumatic brain injury: a systematic review.  Neurosurgery. 2005;57(6):1244-125316331173PubMedGoogle ScholarCrossref
Original Contribution
November 21, 2012

Effect of Citicoline on Functional and Cognitive Status Among Patients With Traumatic Brain Injury: Citicoline Brain Injury Treatment Trial (COBRIT)

Author Affiliations

Author Affiliations: Department of Physical Medicine and Rehabilitation, Harvard Medical School, and Massachusetts General Hospital, Boston, Massachusetts (Dr Zafonte); Department of Health Evidence and Policy, Mount Sinai School of Medicine, New York, New York (Dr Bagiella); The Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland (Dr Ansel); Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham (Drs Novack and Melton); Departments of Biostatistics (Dr Friedewald) and Epidemiology (Dr Hesdorffer), Columbia University, New York, New York; Department of Neurosurgery, Geisinger Medical Center, Danville, Pennsylvania (Dr Timmons); Division of Neurotrauma and Critical Care, Thomas Jefferson University, Philadelphia, Pennsylvania (Dr Jallo); Department of Neurosurgery, University of Maryland School of Medicine, Baltimore (Dr Eisenberg); Moss Rehabilitation Research Institute, Philadelphia (Dr Hart); Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, Pennsylvania (Dr Ricker); Center of Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences, Rockville, Maryland (Dr Diaz-Arrastia); Department of Neurosurgery, Virginia Commonwealth University, Richmond (Dr Merchant); and Departments of Neurological Surgery (Dr Temkin) and Rehabilitation Medicine (Dr Dikmen), University of Washington, Seattle.

JAMA. 2012;308(19):1993-2000. doi:10.1001/jama.2012.13256
Abstract

Context Traumatic brain injury (TBI) is a serious public health problem in the United States, yet no treatment is currently available to improve outcome after TBI. Approved for use in TBI in 59 countries, citicoline is an endogenous substance offering potential neuroprotective properties as well as facilitated neurorepair post injury.

Objective To determine the ability of citicoline to positively affect functional and cognitive status in persons with complicated mild, moderate, and severe TBI.

Design, Setting, and Patients The Citicoline Brain Injury Treatment Trial (COBRIT), a phase 3, double-blind randomized clinical trial conducted between July 20, 2007, and February 4, 2011, among 1213 patients at 8 US level 1 trauma centers to investigate effects of citicoline vs placebo in patients with TBI classified as complicated mild, moderate, or severe.

Intervention Ninety-day regimen of daily enteral or oral citicoline (2000 mg) or placebo.

Main Outcome Measures Functional and cognitive status, assessed at 90 days using the TBI-Clinical Trials Network Core Battery. A global statistical test was used to analyze the 9 scales of the core battery. Secondary outcomes were functional and cognitive improvement, assessed at 30, 90, and 180 days, and examination of the long-term maintenance of treatment effects.

Results Rates of favorable improvement for the Glasgow Outcome Scale–Extended were 35.4% in the citicoline group and 35.6% in the placebo group. For all other scales the rate of improvement ranged from 37.3% to 86.5% in the citicoline group and from 42.7% to 84.0% in the placebo group. The citicoline and placebo groups did not differ significantly at the 90-day evaluation (global odds ratio [OR], 0.98 [95% CI, 0.83-1.15]); in addition, there was no significant treatment effect in the 2 severity subgroups (global OR, 1.14 [95% CI, 0.88-1.49] and 0.89 [95% CI, 0.72-1.49] for moderate/severe and complicated mild TBI, respectively). At the 180-day evaluation, the citicoline and placebo groups did not differ significantly with respect to the primary outcome (global OR, 0.87 [95% CI, 0.72-1.04]).

Conclusion Among patients with traumatic brain injury, the use of citicoline compared with placebo for 90 days did not result in improvement in functional and cognitive status.

Trial Registration clinicaltrials.gov Identifier: NCT00545662

Despite considerable advances in emergency and critical care management of traumatic brain injury (TBI)1 as well as decades of research on potential agents for neuroprotection or enhanced recovery,2 no effective pharmacotherapy has yet been identified. However, citicoline, an endogenous compound, has demonstrated interesting properties in preclinical studies3-5 and small clinical trials.6-8 Recognized in 1956 as the intermediate element in the biosynthesis of phosphatidylcholine, a key constituent of neuronal membranes,9 citicoline may have a pleiotropic range of neuroprotective properties10-12 and is an approved therapy for TBI in 59 countries.13 Citicoline is also widely available in the United States as a nutraceutical and is used by patients with a range of neurologic disorders, yet it has not been evaluated in a large randomized clinical trial for TBI. Therefore, we evaluated the efficacy of citicoline for improving cognitive and functional status among patients with TBI.

Animal and human studies suggest a wide window of opportunity for neuroprotection and neurologic recovery with citicoline, ranging from 6 hours to more than 48 hours14 post TBI. We examined the effects of 90 days of oral citicoline vs placebo initiated within 24 hours of injury in patients with complicated mild, moderate, and severe TBI. This is, to our knowledge, the first neuroprotection study to include complicated mild TBI, an important group because such patients have evidence of cognitive dysfunction and are more similar to those with moderate TBI than to those with mild TBI.15

Methods
Patients and Sites

The Citicoline Brain Injury Treatment Trial (COBRIT) is a multicenter, placebo-controlled, 2-group, phase 3, double-blind randomized clinical trial conducted at 8 US level 1 trauma centers.16 These centers follow a large number of patients with TBI through acute, intermediate, and rehabilitation care and provided an ethnically and demographically diverse patient population (Table 1).

All participants required inpatient acute hospitalization. The institutional review boards of all participating sites approved the protocol and either the patients or their legally authorized representatives provided written informed consent according to the local institutional review board rules for proxy consent. If an authorized representative provided consent originally, the participant directly provided consent for continued involvement on recovery of decision-making capacity.

Neuroimaging entry criteria were verified by the neurosurgical team at each participating site. Clinical care followed set protocols established by the study network for acute and postacute interventions, based on the American Academy of Neurological Surgeons acute care guidelines and a consensus of rehabilitation experts for postacute protocols.17

Inclusion and Exclusion Criteria

Patients were aged 18 (19 in Alabama) to 70 years and had a nonpenetrating TBI. Glasgow Coma Scale (GCS) scores obtained without paralytic treatment were 3 to 12 with motor score of 5 or less, 3 to 12 with motor score of 6 and meeting any of the computed tomography (CT) criteria, or 13 to 15 and meeting any of the CT criteria. GCS scores obtained with paralytic treatment were GCS 3TP (intubated and paralyzed) meeting any of the CT scan criteria. Neuroimaging criteria were 10 mm or greater total diameter of all intraparenchymal hemorrhages, acute extra-axial hematoma thickness of 5 mm or greater, subarachnoid hemorrhage visible on at least 2 contiguous 5-mm slices or at least 3 contiguous 3-mm slices, intraventricular hemorrhage present on 2 slices, or midline shift of 5 mm or greater.

Eligibility exclusions were any of the following: bilaterally fixed and dilated pupils, positive pregnancy test result or known pregnancy, imminent death or current life-threatening disease, prisoner, currently enrolled in another study, acetylcholinesterase inhibitor use within the 2 weeks prior to injury, or evidence of serious psychiatric and neurologic disorders that interfere with outcome assessment.

An external data and safety monitoring committee provided independent oversight. A data coordinating center at Columbia University stored and analyzed all data.

Study Procedures

Patients were randomly assigned in a 1:1 ratio to receive a 90-day regimen of either citicoline (2000 mg/d) or placebo via enteral route, initiated within 24 hours of injury. Patients were screened for medical history by the study coordinator as well as the neurosurgery or trauma team, according to the inclusion and exclusion criteria. Participants unable to swallow received medication in the form of crushed tablets and either water or 25-mL saline flush via a nasogastric or percutaneous endoscopic gastrostomy tube. Treatment was given only if patients were able to receive medication by either method. Ferrer Grupo provided citicoline and identical placebo, distributed to the clinical sites by a central drug distribution center (ALMAC). Patients, coordinators, physicians, and outcome evaluators were blinded to the treatment assignment. Randomization was stratified by site and severity of injury, measured by prerandomization GCS, and implemented through WebEZ, the randomization system provided by ALMAC.

Baseline CT scans, vital signs, participant medical history, demographics, and injury information were obtained and reviewed prior to randomization. Race and ethnicity were self-reported and recorded according to the National Institutes of Health classification. Information concerning other medical treatments, including surgical interventions, in-depth injury information, changes in clinical status, and vital signs, were collected within 24 hours after randomization. Surgical interventions, concomitant medications, GCS scores, CT scan results, and neurologic worsening were collected on days 2 through 7 of hospitalization as well.

Vital signs were recorded every 12 hours during the first 7 days of hospitalization and then at the 30- and 90-day outcome visits. Metabolic, liver, and hematologic functions were measured at baseline and day 3, and at 30- and 90-day visits via blood samples. Adverse symptoms and events were recorded at regularly scheduled personal and telephone contacts and during outcome visits at days 14, 30, 58, 90, 135, and 180.

The primary outcome of this study was functional status and cognitive performance at 90 days, measured by the 9 components of the TBI Clinical Trials Network Core Battery.18 The battery included the Trail Making Test parts A and B19,20; the Glasgow Outcome Scale–Extended (GOS-E)21; the Controlled Oral Word Association Test22; the California Verbal Learning Test II23; the Processing Speed Index24 and Digit Span from the Wechsler Adult Intelligence Scale III24; and Stroop Test Parts 1 and 2.25

The GOS-E was dichotomized as 1 through 6 for poor outcome and 7 through 8 for good outcome. This cutoff was set because of the high proportion of patients with complicated mild TBI planned for study enrollment. All other measures in the battery are continuous and were dichotomized at 1 standard deviation below the mean for an uninjured population. Participants with raw scores greater than or equal to 1 standard deviation less than the mean of the normal population were classified in the good-outcome group. Participants who died before 90 days or who were neurologically impaired at the time of the 90-day outcome assessment were assigned to the poor-outcome category. Normative data were obtained from previous studies for patients with trauma but no TBI.26

Secondary outcomes were the recovery of cognitive and functional abilities using a battery of tests administered at 30, 90, and 180 days postrandomization; the effect of citicoline on measures of disability, life satisfaction, and psychological well-being at 30, 90, and 180 days postrandomization; functional and cognitive status at 180 days postrandomization; survival after TBI; and safety. The 180-day outcome assessment was implemented to determine if any observed effect was maintained after discontinuation of treatment.

Statistical Analysis

The primary outcome was analyzed using a global statistic18 of the Network Core Battery. The procedure is based on the assumption that the treatment effect is constant across all measures of the battery. Once a common effect size is established, the global test procedure tests the null hypothesis that the common effect size is zero against an alternative hypothesis that the common effect size is different from zero. The use of a global test procedure to simultaneously test several outcomes is not new27,28 and has been used, for example, in trials of stroke.29

In COBRIT, the global statistic estimates the odds ratio (OR) for a good outcome in the citicoline group compared with the placebo group. An OR of 1 indicates no treatment effect; an OR significantly greater than 1 indicates a beneficial treatment effect. Sample size was determined assuming a type I error of .05 (2-sided), 85% power, and an expected global OR of 1.4. This effect size corresponds to an absolute improvement of 7.7% for the GOS-E. Estimates of the rates of good response in the control group as well as the correlation among the 9 scales were obtained from previous studies conducted among patients with TBI.30-34 An estimate of the response rate for the overall control group was obtained as a weighted average using the expected proportion of patients with complicated mild, moderate, and severe TBI as weights.

Under the above assumptions we estimated that 1124 participants were required to detect a global OR of 1.4 or higher. A final sample size of 1296 was determined after accounting for 15% attrition. At the first interim analysis and with approval of the data and safety monitoring committee, the study sample size was revised to 1426 patients to account for the higher than anticipated proportion of patients with complicated mild TBI in the sample.

Four interim analyses and 1 final analysis were planned using a modified O’Brien-Fleming group sequential procedure. At the fourth interim analysis, a stopping rule for futility was set as a global statistic z score within ±0.7207. The criterion for stopping the trial for futility at the fourth interim analysis was determined as the largest interim z score that would yield a conditional power of no more than 0.05.

Categorical variables were summarized as frequencies. Fisher exact tests were used to compare the distribution of these factors between the placebo and citicoline groups. Logistic regression was used to estimate the global OR. Generalized estimating equations were used to account for the correlation among the 9 scales. Models were adjusted for clinical site and severity of injury. Because only 4% of the study participants had moderate TBI, moderate TBI and severe TBI were combined in the analysis. A treatment × severity interaction term was used in the models to explore a potential differential effect of citicoline on patients with complicated mild, moderate, and severe TBI.

Kaplan-Meier survival curves for each treatment group were plotted in the overall sample and separately by GCS severity at randomization. Log-rank tests were used to assess whether the survival distributions differed between the 2 groups. The multiple imputation procedure proposed by Rubin35 and by Little and Rubin36 was used to account for missing data.

All statistical analyses were conducted at the 5% 2-sided significance level following the intent-to-treat principle. SAS version 9.2 or R version 2.13.137 were used for statistical analyses.

Adherence Assessment

Adherence status was classified by investigators masked to patient treatment group into 3 categories based on returned pill count. Adherent patients were defined as having taken 75% or more of their expected dose and nonadherent patients as having taken less than 75% of their expected dose. Patients for whom adherence status could not be determined were categorized as having unknown adherence.

Results

At the fourth interim analysis the z score for the global statistic was −0.13 (P = .89). The data and safety monitoring committee recommended that the trial be stopped for futility. At that time COBRIT had enrolled 1213 patients. On acceptance of the decision by the National Institute of Child Health and Human Development, enrollment in the trial was stopped on February 7, 2011. Patients underwent follow-up until May 12, 2011, the date at which the last randomized patient reached the 90-day outcome assessment. The primary 90-day outcome was available for 996 patients, and the 180-day outcome was available for 886 patients.

Patient Characteristics

Screening was conducted between July 20, 2007, and February 4, 2011. Of the 11 812 patients consecutively screened, 10 599 were excluded for not meeting eligibility criteria or refusing to provide consent (Figure 1). Of the 1213 patients enrolled, 606 (50%) were randomized to the placebo group and 607 (50%) to the citicoline group. As is typical of TBI studies, more than half of participants were younger than 45 years and two-thirds were men (Table 1). Approximately two-thirds of patients had complicated mild injuries, and approximately 26% had a posttraumatic amnesia duration of 24 hours or less. The citicoline and placebo groups were similar with respect to baseline characteristics (Table 1). Groups were also similar regarding surgical interventions and discharge disposition after acute care (Table 1).

Adherence

All but 6 patients received at least 1 dose of the study drug. The median time from randomization to administration of the first dose was 1.6 and 1.8 hours for the citicoline and placebo groups, respectively. Eighty-six percent of the patients received their first dose within 24 hours of injury. Five hundred thirty-eight patients (44%) were adherent and 494 (40.7%) were nonadherent; adherence was unknown for 181 (14.9%). The distribution of adherence did not differ between the placebo and citicoline groups.

Primary Outcome

The 2 groups did not differ at the 90-day evaluation with respect to the TBI Clinical Trials Network Core Battery (global OR, 0.98 [95% CI, 0.83-1.15]). Because the global null hypothesis was not rejected, we did not perform further tests of the individual scales. Rates of favorable improvement for the GOS-E were 35.4% in the citicoline group and 35.6% in the placebo group. For all other scales, the rate of improvement ranged from 37.3% to 86.5% in the citicoline group and from 42.7% to 84.0% in the placebo group (Table 2).

A descriptive analysis of the individual tests is presented in Table 2 and Table 3. These results did not change in a model adjusted for head Abbreviated Injury Score or using imputation techniques to recover the missing data. An interaction term did not suggest a differential effect of the treatment between the 2 severity groups (moderate/severe: global OR, 1.14 [95% CI, 0.88-1.49]; P = .31; complicated mild: global OR, 0.89 [95% CI, 0.72-1.08]; P = .12).

Secondary Outcome

At the 180-day evaluation we noted that the 2 groups did not differ with respect to the Core Battery (global OR, 0.87 [95% CI, 0.72-1.04]; P = .13). However, post hoc analysis of the treatment × severity interaction revealed that patients with complicated mild TBI in the placebo group did better than those in the citicoline group (global OR, 0.72 [95% CI, 0.56-0.91]; P = .004). In patients with moderate/severe TBI, no statistically significant difference was observed between treatment groups (global OR, 1.26 [95% CI, 0.92-1.70]; P = .14).

Survival

A total of 73 patients died during the study, with 42 deaths (6.9%) in the placebo group and 31 (5.1%) in the citicoline group. Of patients who died, 36 (85.7%) in the placebo group and 26 (83.9%) in the citicoline group died within the first 30 days. There was no statistically significant difference in survival distributions between the 2 groups (P = .17) (Figure 2). Among patients with moderate/severe TBI, 34 of 202 (16.8%) in the placebo group and 25 of 204 (12.2%) in the citicoline group died, with 31 (91.2%) in the placebo group and 24 (96.0%) in the citicoline group dying within the first 30 days. Among patients with complicated mild TBI, 8 of 404 (2.0%) in the placebo group and 6 of 403 (1.5%) in the citicoline group died, with 5 (62.5%) in the placebo group and 2 (33.3%) in the citicoline group dying within the first 30 days. Survival curves were similar between the 2 groups, even after stratification by GCS severity at randomization (Figure 2).

Safety

A total of 316 serious adverse events were reported among 234 patients. Among the serious adverse events noted, 10% of patients reported central nervous system problems and slightly less than 5% reported respiratory problems. The overall proportion of patients reporting serious adverse events was similar between the placebo and citicoline groups, and no significant differences were noted between the groups overall (eTable).

Comments

The COBRIT study indicates that citicoline was not superior to placebo as an acute and postacute therapy among participants with a broad range of severity of TBI. The worldwide use of citicoline for TBI should now be questioned.

Although prior meta-analyses suggest that neuropsychological function may return to normal by 3 months in the majority of patients with uncomplicated mild TBI,38 this is untrue for those with so-called mild injury complicated by cerebral injuries visible on CT.39 The TBI Clinical Trials Network Core Battery18 includes sensitive measures of cognition, chosen because ceiling effects were unlikely. Thus, the COBRIT study appears to support the lack of utility of citicoline in the treatment of TBI across a broad spectrum of injury severity.

Prior studies noted difficulty with attrition in follow-up for patients with TBI who lack severe motor deficits.30,33 COBRIT is among the largest studies including patients with complicated mild TBI and thus highlights issues of prolonged treatment adherence when evaluating this important group as well as the difficulty in attaining long-term follow-up. However, nonadherence and loss to follow-up are unlikely to have caused the negative results observed in COBRIT. The rates were nearly identical in the 2 groups, and there was no treatment effect in patients who took 75% or more of the study drug.

The post hoc findings observed at 180 days in the group with complicated mild TBI are of interest. Although it is possible that these findings occurred by chance, one explanation is a negative effect of citicoline on recovery for patients with less severe injury. Molecular mechanisms that may be neuroprotective by acutely promoting tissue repair and neurologic recovery in severely injured patients may be deleterious in the postacute setting or in patients with milder injuries. A therapy that affects inflammatory, lipid peroxidative, and cholinergic mechanisms may have less benefit or even an overall negative effect in those with less severe injury. This study cannot address the effects of citicoline if administered earlier in recovery or in titrated doses but does reflect present clinical dosing.

Among 18 randomized controlled TBI trials completed before COBRIT, two-thirds have been negative.40 The absence of an effect in prior trials and in COBRIT may be attributable either to the therapy simply being ineffective or to the heterogeneous pathophysiological nature of TBI. This would suggest that the mechanisms of action of drugs used in future TBI trials would need to be tested in specific subtypes of TBI, where they are likely to have a positive effect. Future studies may benefit from use of biochemical, physiologic, or imaging biomarkers to demonstrate effects on processes targeted by the therapy.

In conclusion, this large, randomized, blinded study showed that acute and subacute treatment with citicoline did not result in improvement in functional and cognitive status. These findings call into question the use of citicoline for patients with TBI.

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Article Information

Corresponding Author: Ross D. Zafonte, DO, Spaulding Rehabilitation Hospital Network, Harvard Medical School, 125 Nashua St, Boston, MA 02114 (rzafonte@partners.org).

Author Contributions: Drs Bagiella and Friedewald had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: Zafonte, Bagiella, Ansel, Novack, Friedewald, Hesdorffer, Timmons, Eisenberg, Hart, Ricker, Diaz-Arrastia, Merchant, Temkin, Melton, Dikmen.

Acquisition of data: Zafonte, Bagiella, Novack, Hesdorffer, Timmons, Eisenberg, Hart, Ricker, Diaz-Arrastia, Merchant, Temkin, Melton, Dikmen.

Analysis and interpretation of data: Zafonte, Bagiella, Novack, Friedewald, Hesdorffer, Timmons, Jallo, Eisenberg, Hart, Ricker, Diaz-Arrastia, Merchant, Temkin.

Drafting of the manuscript: Zafonte, Bagiella, Ansel, Novack, Friedewald, Jallo, Hart, Diaz-Arrastia, Merchant, Temkin.

Critical revision of the manuscript for important intellectual content: Zafonte, Bagiella, Ansel, Novack, Friedewald, Hesdorffer, Timmons, Eisenberg, Hart, Ricker, Temkin, Melton, Dikmen.

Statistical analysis: Zafonte, Bagiella, Friedewald, Hesdorffer, Jallo.

Obtained funding: Zafonte, Bagiella, Ansel, Novack, Friedewald, Timmons, Eisenberg, Hart, Diaz-Arrastia, Merchant, Temkin, Dikmen.

Administrative, technical, or material support: Zafonte, Ansel, Novack, Friedewald, Timmons, Hart, Ricker, Diaz-Arrastia, Merchant, Melton, Dikmen.

Study supervision: Zafonte, Ansel, Novack, Friedewald, Timmons, Eisenberg, Hart, Ricker, Diaz-Arrastia.

Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none were reported.

Funding/Support: This study was supported by National Institute of Child Health and Human Development grants at the following institutions: Temple University (U01HD042738); University of Alabama at Birmingham (U01HD042687); University of Maryland (U01HD042736); University of Pittsburgh (U01HD042678); University of Tennessee Health Sciences Center (U01HD042686); University of Texas Southwestern (U01HD042652); University of Washington (U01HD042653); Virginia Commonwealth University (U01HD042689); and Columbia University (U01HD042823). Ferrer Grupo provided the citicoline and identical placebo used in the study.

Role of the Sponsors: The National Institute of Child Health and Human Development and Ferrer Grupo had no role in the design and conduct of the study; the collection, analysis, and interpretation of the data; or the preparation, review, or approval of the manuscript.

COBRIT Data and Safety Monitoring Committee: M. D. Walker (chair), S. C. Kunitz, H. S. Levin, C. Robertson. COBRIT Study Group: Steering Committee: R. Zafonte (study principal investigator), J. Jallo (chair), *D. Good (ex-chair), B. Ansel, R. Diaz-Arrastia, H. Eisenberg, W. Friedewald, R. Merchant, S. Melton, J. Ricker, N. Temkin, S. Timmons. Clinical Sites:Alabama: University of Alabama at Birmingham (S. Melton, T. Novack, O. Hogue, R. McPhearson, W. Garrett, B. McDowell, M. Doss, T. Woods-Bell, S. Caldwell). Maryland: University of Maryland School of Medicine, Baltimore (H. Eisenberg, B. Aarabi, E.F. Aldrich, C. Aldrich, H. Thomas, D. Beam, K. Booker, M. Rosado, S. Roberts, L. Grattan, J. Rowe, J. Kostelec, M. Lee). Pennsylvania: University of Pittsburgh School of Medicine, Pittsburgh (J.H. Ricker, J. DeFeo, A. Fetzick, C. Harrison, L.J. Kessler, D.O. Okonkwo, A. Puccio); Temple University Hospital & Moss Rehabilitation Research Institute, Philadelphia (C. Loftus, *J. Jallo, E. Clement, T. Hart, C. Morita). Tennessee: University of Tennessee Health Science Center, Memphis (*S.D. Timmons, T. Bee, I. Fine, D. Blackford); Texas: University of Texas Southwestern Medical Center, Dallas (R. Diaz-Arrastia, C. Madden, C. Moore, N. Sayed, C. Paliotta, L. Peng, C. Harper). Virginia: Virginia Commonwealth University, Richmond (Randall Merchant, J. Ward, T. Graf, S. Desai, K. Mathern, C. Gilman, M. Merchant, J. Coulter, M. Moorman, Ryan Merchant, N. Hsu, J. Marwitz, M. Wetsel, L. Farrish). Washington: University of Washington, Seattle (N. Temkin, S. Dikmen, S. Whitkanack, G. Otto, J. Machamer, R. Fontanilla, S. Wellnitz, K. Boase, S. Pereira, R. Chesnut, J. Chang, J. Celix). Data Coordinating Center: Columbia University, New York, New York: W. Friedewald, E. Bagiella, H. Andrews, E. Benn, M. Feng, D. C. Hesdorffer, S. Lee, B. Levin, S. Lyn, D. Merle, F. Sanders. NICHD Project Scientist: The Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland: B. Ansel. Asterisks denote persons no longer affiliated with the study unit.

References
1.
Haddad SH, Arabi YM. Critical care management of severe traumatic brain injury in adults.  Scand J Trauma Resusc Emerg Med. 2012;20:1222304785PubMedGoogle ScholarCrossref
2.
Kelso ML, Pauly JR. Therapeutic targets for neuroprotection and/or enhancement of functional recovery following traumatic brain injury.  Prog Mol Biol Transl Sci. 2011;98:85-13121199771PubMedGoogle Scholar
3.
Dixon CE, Ma X, Marion DW. Effects of CDP-choline treatment on neurobehavioral deficits after TBI and on hippocampal and neocortical acetylcholine release.  J Neurotrauma. 1997;14(3):161-1699104933PubMedGoogle ScholarCrossref
4.
Başkaya MK, Doğan A, Rao AM, Dempsey RJ. Neuroprotective effects of citicoline on brain edema and blood-brain barrier breakdown after traumatic brain injury.  J Neurosurg. 2000;92(3):448-45210701532PubMedGoogle ScholarCrossref
5.
Dempsey RJ, Raghavendra Rao VL. Cytidinediphosphocholine treatment to decrease traumatic brain injury–induced hippocampal neuronal death, cortical contusion volume, and neurological dysfunction in rats.  J Neurosurg. 2003;98(4):867-87312691414PubMedGoogle ScholarCrossref
6.
Cohadon F, Richer E, Poletto B. A precursor of phospholipids in the treatment of severe traumatic comas.  Neurochirurgie. 1982;28(4):287-2906759958PubMedGoogle Scholar
7.
Calatayud Maldonado V, Calatayud Pérez JB, Aso Escario J. Effects of CDP-choline on the recovery of patients with head injury.  J Neurol Sci. 1991;103:(suppl)  S15-S181940960PubMedGoogle ScholarCrossref
8.
Levin HS. Treatment of postconcussional symptoms with CDP-choline.  J Neurol Sci. 1991;103:(suppl)  S39-S421940965PubMedGoogle ScholarCrossref
9.
Kennedy EP. The synthesis of cytidine diphosphate choline, cytidine diphosphate ethanolamine, and related compounds.  J Biol Chem. 1956;222(1):185-19113366992PubMedGoogle Scholar
10.
Adibhatla RM, Hatcher JF. Citicoline mechanisms and clinical efficacy in cerebral ischemia.  J Neurosci Res. 2002;70(2):133-13912271462PubMedGoogle ScholarCrossref
11.
Secades JJ. Citicoline: pharmacological and clinical review, 2010 update.  Rev Neurol. 2011;52:(suppl 2)  S1-S6221432836PubMedGoogle Scholar
12.
Lozano R. CDP-choline in the treatment of cranio-encephalic traumata.  J Neurol Sci. 1991;103:(suppl)  S43-S471940966PubMedGoogle ScholarCrossref
13.
Arenth PM, Russell KC, Ricker JH, Zafonte RD. CDP-choline as a biological supplement during neurorecovery: a focused review.  PM R. 2011;3(6):(suppl 1)  S123-S13121703569PubMedGoogle ScholarCrossref
14.
Alexandrov AV. Citicoline: Ferrer Internacional.  Curr Opin Investig Drugs. 2001;2(12):1757-176211892942PubMedGoogle Scholar
15.
Williams DH, Levin HS, Eisenberg HM. Mild head injury classification.  Neurosurgery. 1990;27(3):422-4282234336PubMedGoogle ScholarCrossref
16.
Zafonte R, Friedewald WT, Lee SM,  et al.  The Citicoline Brain Injury Treatment (COBRIT) trial: design and methods.  J Neurotrauma. 2009;26(12):2207-221619803786PubMedGoogle ScholarCrossref
17.
Brain Trauma Foundation, American Association of Neurological Surgeons, Joint Section on Neurotrauma and Critical Care.  Trauma systems.  J Neurotrauma. 2000;17(6-7):457-46210937887PubMedGoogle Scholar
18.
Bagiella E, Novack TA, Ansel B,  et al.  Measuring outcome in traumatic brain injury treatment trials: recommendations from the Traumatic Brain Injury Clinical Trials Network.  J Head Trauma Rehabil. 2010;25(5):375-38220216459PubMedGoogle ScholarCrossref
19.
Reitan R. Trail Making Test: Manual for Administration and Scoring. Tucson, AZ: Reitan Neuropsychology Laboratory; 1992
20.
Reitan R, Wolfson D. The Halstead-Reith Neuropsychological Test Battery: Theory and Clinical Interpretation. Tuscon, AZ: Neuropsychological Press; 1993
21.
Wilson JT, Pettigrew LE, Teasdale GM. Structured interviews for the Glasgow Outcome Scale and the extended Glasgow Outcome Scale: guidelines for their use.  J Neurotrauma. 1998;15(8):573-5859726257PubMedGoogle ScholarCrossref
22.
Benton A, Sivan AB, Hamsher KD, Varney NR, Spreen O. Contributions to Neuropsychological Assessment: A Clinical Manual. New York, NY: Oxford University Press; 1994
23.
Delis D, Kramer JH, Kaplan E, Ober BA. California Verbal Learning Test, Second Edition, Adult Version. San Antonio, TX: PsychCorp; 2000
24.
Wechsler D. Wechsler Adult Intelligence Scale (WAIS-III). San Antonio, TX: Psychological Corp; 1997
25.
Dodrill CB. A neuropsychological battery for epilepsy.  Epilepsia. 1978;19(6):611-623738230PubMedGoogle ScholarCrossref
26.
Dikmen SMJ, Winn HR, Temkin N. Neuropsychological outcome at 1 year post head injury.  Neuropsychology. 1995;9(1):80-90Google ScholarCrossref
27.
Pocock SJ. Clinical trials with multiple outcomes: a statistical perspective on their design, analysis, and interpretation.  Control Clin Trials. 1997;18(6):530-5499408716PubMedGoogle ScholarCrossref
28.
O’Brien PC. Procedures for comparing samples with multiple endpoints.  Biometrics. 1984;40(4):1079-10876534410PubMedGoogle ScholarCrossref
29.
Tilley BC, Marler J, Geller NL,  et al.  Use of a global test for multiple outcomes in stroke trials with application to the National Institute of Neurological Disorders and Stroke t-PA Stroke Trial.  Stroke. 1996;27(11):2136-21428898828PubMedGoogle ScholarCrossref
30.
Corrigan JD, Harrison-Felix C, Bogner J, Dijkers M, Terrill MS, Whiteneck G. Systematic bias in traumatic brain injury outcome studies because of loss to follow-up.  Arch Phys Med Rehabil. 2003;84(2):153-16012601644PubMedGoogle ScholarCrossref
31.
Bryant RA, Harvey AG. Postconcussive symptoms and posttraumatic stress disorder after mild traumatic brain injury.  J Nerv Ment Dis. 1999;187(5):302-30510348085PubMedGoogle ScholarCrossref
32.
Bryant RA, Harvey AG. The influence of traumatic brain injury on acute stress disorder and post-traumatic stress disorder following motor vehicle accidents.  Brain Inj. 1999;13(1):15-229972438PubMedGoogle ScholarCrossref
33.
Langley J, Johnson S, Slatyer M, Skilbeck CE, Thomas M. Issues of loss to follow-up in a population study of traumatic brain injury (TBI) followed to 3 years post-trauma.  Brain Inj. 2010;24(7-8):939-94720545449PubMedGoogle ScholarCrossref
34.
LoBello S, Underhill AT, Fine PR. Loss to follow-up and potential systematic bias in survivors of traumatic brain injury 12 months postinjury [poster 22].  Arch Phys Med Rehabil. 2003;84(10):A9Google ScholarCrossref
35.
Rubin D. Multiple Imputation for Non-response in Surveys. New York, NY: John Wiley; 1997
36.
Little RJA, Rubin DB. Statistical Analysis With Missing Data. New York, NY: John Wiley; 1987
37.
Team RDC. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2008
38.
Rohling ML, Binder LM, Demakis GJ, Larrabee GJ, Ploetz DM, Langhinrichsen-Rohling J. A meta-analysis of neuropsychological outcome after mild traumatic brain injury: re-analyses and reconsiderations of Binder et al. (1997), Frencham et al. (2005), and Pertab et al. (2009).  Clin Neuropsychol. 2011;25(4):608-62321512956PubMedGoogle ScholarCrossref
39.
Dikmen S, Machamer J, Temkin N. Mild head injury: facts and artifacts.  J Clin Exp Neuropsychol. 2001;23(6):729-73811910540PubMedGoogle ScholarCrossref
40.
Hernández AV, Steyerberg EW, Taylor GS, Marmarou A, Habbema JD, Maas AI. Subgroup analysis and covariate adjustment in randomized clinical trials of traumatic brain injury: a systematic review.  Neurosurgery. 2005;57(6):1244-125316331173PubMedGoogle ScholarCrossref
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