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Featured researches published by Likang Xu.


Journal of Safety Research | 2012

Trends in Traumatic Brain Injury in the U.S. and the public health response: 1995-2009

Victor G. Coronado; Lisa C. McGuire; Kelly Sarmiento; Jeneita M. Bell; Michael R. Lionbarger; Christopher D. Jones; Andrew I. Geller; Nayla M. Khoury; Likang Xu

PROBLEM Traumatic Brain Injury (TBI) is a public health problem in the United States. In 2009, approximately 2.4 million [corrected] patients with a TBI listed as primary or secondary diagnosis were hospitalized and discharged alive (N=300,667) or were treated and released from emergency departments (EDs; N=2,077,350), outpatient departments (ODs; N=83,857), and office-based physicians (OB-P; N=1,079,338). In addition, 52,695 died with one or more TBI-related diagnoses. METHODS Federal TBI-related laws that have guided CDC since 1996 were reviewed. Trends in TBI were obtained by analyzing data from nationally representative surveys conducted by the National Center for Health Statistics (NCHS). FINDINGS CDC has developed and is implementing a strategy to reduce the burden of TBI in the United States. Currently, 20 states have TBI surveillance and prevention systems. From 1995-2009, the TBI rates per 100,000 population increased in EDs (434.1 vs. 686.0) and OB-Ps (234.6 vs. 352.3); and decreased in ODs (42.6 vs. 28.1) and in TBI-related deaths (19.9 vs. 16.6). TBI Hospitalizations decreased from 95.5 in 1995 to 77.9 in 2000 and increased to 95.7 in 2009. CONCLUSIONS The rates of TBI have increased since 1995 for ED and PO visits. To reduce of the burden and mitigate the impact of TBI in the United States, an improved state- and territory-specific TBI surveillance system that accurately measures burden and includes information on the acute and long-term outcomes of TBI is needed.


Morbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002) | 2017

Traumatic Brain Injury–Related Emergency Department Visits, Hospitalizations, and Deaths — United States, 2007 and 2013

Christopher A. Taylor; Jeneita M. Bell; Matthew J. Breiding; Likang Xu

Problem/Condition Traumatic brain injury (TBI) has short- and long-term adverse clinical outcomes, including death and disability. TBI can be caused by a number of principal mechanisms, including motor-vehicle crashes, falls, and assaults. This report describes the estimated incidence of TBI-related emergency department (ED) visits, hospitalizations, and deaths during 2013 and makes comparisons to similar estimates from 2007. Reporting Period 2007 and 2013. Description of System State-based administrative health care data were used to calculate estimates of TBI-related ED visits and hospitalizations by principal mechanism of injury, age group, sex, and injury intent. Categories of injury intent included unintentional (motor-vehicle crashes, falls, being struck by or against an object, mechanism unspecified), intentional (self-harm and assault/homicide), and undetermined intent. These health records come from the Healthcare Cost and Utilization Project’s National Emergency Department Sample and National Inpatient Sample. TBI-related death analyses used CDC multiple-cause-of-death public-use data files, which contain death certificate data from all 50 states and the District of Columbia. Results In 2013, a total of approximately 2.8 million TBI-related ED visits, hospitalizations, and deaths (TBI-EDHDs) occurred in the United States. This consisted of approximately 2.5 million TBI-related ED visits, approximately 282,000 TBI-related hospitalizations, and approximately 56,000 TBI-related deaths. TBIs were diagnosed in nearly 2.8 million (1.9%) of the approximately 149 million total injury- and noninjury-related EDHDs that occurred in the United States during 2013. Rates of TBI-EDHDs varied by age, with the highest rates observed among persons aged ≥75 years (2,232.2 per 100,000 population), 0–4 years (1,591.5), and 15–24 years (1,080.7). Overall, males had higher age-adjusted rates of TBI-EDHDs (959.0) compared with females (810.8) and the most common principal mechanisms of injury for all age groups included falls (413.2, age-adjusted), being struck by or against an object (142.1, age-adjusted), and motor-vehicle crashes (121.7, age-adjusted). The age-adjusted rate of ED visits was higher in 2013 (787.1) versus 2007 (534.4), with fall-related TBIs among persons aged ≥75 years accounting for 17.9% of the increase in the number of TBI-related ED visits. The number and rate of TBI-related hospitalizations also increased among persons aged ≥75 years (from 356.9 in 2007 to 454.4 in 2013), primarily because of falls. Whereas motor-vehicle crashes were the leading cause of TBI-related deaths in 2007 in both number and rate, in 2013, intentional self-harm was the leading cause in number and rate. The overall age-adjusted rate of TBI-related deaths for all ages decreased from 17.9 in 2007 to 17.0 in 2013; however, age-adjusted TBI-related death rates attributable to falls increased from 3.8 in 2007 to 4.5 in 2013, primarily among older adults. Although the age-adjusted rate of TBI-related deaths attributable to motor-vehicle crashes decreased from 5.0 in 2007 to 3.4 in 2013, the age-adjusted rate of TBI-related ED visits attributable to motor-vehicle crashes increased from 83.8 in 2007 to 99.5 in 2013. The age-adjusted rate of TBI-related hospitalizations attributable to motor-vehicle crashes decreased from 23.5 in 2007 to 18.8 in 2013. Interpretation Progress has been made to prevent motor-vehicle crashes, resulting in a decrease in the number of TBI-related hospitalizations and deaths from 2007 to 2013. However, during the same time, the number and rate of older adult fall-related TBIs have increased substantially. Although considerable public interest has focused on sports-related concussion in youth, the findings in this report suggest that TBIs attributable to older adult falls, many of which result in hospitalization and death, should receive public health attention. Public Health Actions The increase in the number of fall-related TBIs in older adults suggests an urgent need to enhance fall-prevention efforts in that population. Multiple effective interventions have been identified, and CDC has developed the STEADI initiative (Stopping Elderly Accidents Deaths and Injuries) as a comprehensive strategy that incorporates empirically supported clinical guidelines and scientifically tested interventions to help primary care providers address their patients’ fall risk through the identification of modifiable risk factors and implementation of effective interventions (e.g., exercise, medication management, and Vitamin D supplementation).


Medical Care | 2016

The economic burden of prescription opioid overdose, abuse, and dependence in the United States, 2013

Curtis Florence; Chao Zhou; Feijun Luo; Likang Xu

Importance:It is important to understand the magnitude and distribution of the economic burden of prescription opioid overdose, abuse, and dependence to inform clinical practice, research, and other decision makers. Decision makers choosing approaches to address this epidemic need cost information to evaluate the cost effectiveness of their choices. Objective:To estimate the economic burden of prescription opioid overdose, abuse, and dependence from a societal perspective. Design, Setting, and Participants:Incidence of fatal prescription opioid overdose from the National Vital Statistics System, prevalence of abuse and dependence from the National Survey of Drug Use and Health. Fatal data are for the US population, nonfatal data are a nationally representative sample of the US civilian noninstitutionalized population ages 12 and older. Cost data are from various sources including health care claims data from the Truven Health MarketScan Research Databases, and cost of fatal cases from the WISQARS (Web-based Injury Statistics Query and Reporting System) cost module. Criminal justice costs were derived from the Justice Expenditure and Employment Extracts published by the Department of Justice. Estimates of lost productivity were based on a previously published study. Exposure:Calendar year 2013. Main Outcomes and Measures:Monetized burden of fatal overdose and abuse and dependence of prescription opioids. Results:The total economic burden is estimated to be


Injury Prevention | 2012

Characteristics of non-fatal abusive head trauma among children in the USA, 2003–2008: application of the CDC operational case definition to national hospital inpatient data

Sharyn E. Parks; David E. Sugerman; Likang Xu; Victor G. Coronado

78.5 billion. Over one third of this amount is due to increased health care and substance abuse treatment costs (


Journal of Trauma-injury Infection and Critical Care | 2012

Patients with severe traumatic brain injury transferred to a Level I or II trauma center: United States, 2007 to 2009.

David E. Sugerman; Likang Xu; William S. Pearson; Mark Faul

28.9 billion). Approximately one quarter of the cost is borne by the public sector in health care, substance abuse treatment, and criminal justice costs. Conclusions and Relevance:These estimates can assist decision makers in understanding the magnitude of adverse health outcomes associated with prescription opioid use such as overdose, abuse, and dependence.


Pediatrics | 2014

The Medical Cost of Abusive Head Trauma in the United States

Cora Peterson; Likang Xu; Curtis Florence; Sharyn E. Parks; Ted R. Miller; Ronald G. Barr; Marilyn Barr; Ryan Steinbeigle

Objective An International Classification of Diseases code-based case definition for non-fatal abusive head trauma (AHT) in children <5 years of age was developed in March 2008 by an expert panel convened at the Centers for Disease Control and Prevention (CDC). This study presents an application of the CDC recommended operational case definition of AHT to US hospital inpatient data to characterise the AHT hospitalisation rate for children <5 years of age. Methods Nationwide Inpatient Sample (NIS) data from the Healthcare Cost and Utilisation Project from 2003 to 2008 were examined. Results Inspection of the NIS data resulted in the identification of an estimated 10 555 non-fatal AHT hospitalisations with 9595 classified as definite/presumptive AHT and 960 classified as probable AHT. The non-fatal AHT rate was highest among children aged <1 year (32.3 per 100 000) with a peak in hospitalisations between 1 and 3 months of age. Non-fatal AHT hospitalisation rates for children <2 years of age were higher for boys (21.9 per 100 000) than girls (15.3 per 100 000). The non-fatal AHT hospitalisation rate showed little variation across seasons. Conclusions To reduce the burden of AHT in the USA, a preventable public health problem, concerted prevention efforts targeting populations at risk should be implemented. This report demonstrates a model procedure for using the new CDC definition for public health surveillance and research purposes. Such findings can be used to inform parents and providers about AHT (eg, dangers of shaking, strategies for managing infant crying) as well as to monitor better the impact of prevention strategies over time.


Journal of Safety Research | 2016

Unintentional injuries treated in hospital emergency departments among persons aged 65 years and older, United States, 2006–2011☆☆☆

Xinyao DeGrauw; Joseph L. Annest; Judy A. Stevens; Likang Xu; Victor G. Coronado

BACKGROUND Patients with severe traumatic brain injury (TBI), head Abbreviated Injury Scale (AIS) score of 3 or greater, who are indirectly transported from the scene of injury to a nontrauma center can experience delays to definitive neurosurgical management. Transport to a hospital with appropriate initial emergency department treatment and rapid admission has been shown to reduce mortality in a state’s trauma system. This study was conducted to see if the same finding holds with a nationally representative sample of patients with severe TBI seen at Level I and II trauma centers. METHODS This study is based on adult (≥18 years), severe TBI patients treated in a nationally representative sample of Level I and II trauma centers, submitting data to the National Trauma Databank National Sample Program from 2007 to 2009. We analyzed independent variables including age, sex, primary payer, race, ethnicity, mode of transport, injury type (blunt vs. penetrating), mechanism of injury, trauma center level, head AIS, initial Glasgow Coma Scale (GCS), Injury Severity Score (ISS), and systolic blood pressure by transfer status. The primary outcome variable was inpatient death, with discharge disposition, neurosurgical procedures, and mean hospital, intensive care unit, and ventilator days serving as secondary outcomes. RESULTS After exclusion criteria were applied (ISS < 16; age < 18 years; GCS motor score = 6; non-head AIS score ≥ 3; head AIS < 3; patients with missing transfer status, and death on arrival), a weighted sample of 51,300 (16%) patients was eligible for analysis. In bivariate analyses, transferred patients were older (≥60 years), white, insured, less severely injured (head AIS score ⩽ 4, ISS ⩽ 25), and less likely to have sustained penetrating trauma (p < 0.001). After controlling for all variables, direct transport, 1 or more comorbidities, advanced age, head AIS score, intracranial hemorrhage, and firearm injury remained significant predictors of death. Being transferred (adjusted odds ratio, 0.79; 95% confidence interval, 0.64–0.96) lowered the risk of death. CONCLUSION Patients with severe TBI who were transferred to a Level I or II trauma center had lower injury severity, including less penetrating trauma, and, as a result, were less likely to die compared with patients who were directly admitted to a Level I or II trauma center. The results may demonstrate adherence with the current Guidelines for Prehospital Management of Traumatic Brain Injury and Guidelines for Field Triage of Injured Patients, which recommend the direct transport of patients with severe TBI to the highest level trauma center. Patients with severe TBI who cannot be taken to a trauma center should be stabilized at a nontrauma center and then transferred to a Level I or II trauma center. Regional and national trauma databases should consider collecting information on patient outcomes at referral facilities and total transport time after injury, to better address the outcomes of patient triage decisions. LEVEL OF EVIDENCE Prognostic study, level III; therapeutic study, level IV.


Injury Prevention | 2016

Paid family leave's effect on hospital admissions for pediatric abusive head trauma

Joanne Klevens; Feijun Luo; Likang Xu; Cora Peterson; Natasha E. Latzman

OBJECTIVES: Health consequences of shaken baby syndrome, or pediatric abusive head trauma (AHT), can be severe and long-lasting. We aimed to estimate the multiyear medical cost attributable to AHT. METHODS: Using Truven Health MarketScan data, 2003–2011, we identified children 0 to 4 years old with commercial or Medicaid insurance and AHT diagnoses. We used exact case–control matching based on demographic and insurance characteristics such as age and health plan type to compare medical care between patients with and without AHT diagnoses. Using regression models, we assessed service use (ie, average annual number of inpatient visits per patient) and inpatient, outpatient (including emergency department), drug, and total medical costs attributable to an AHT diagnosis during the 4-year period after AHT diagnosis. RESULTS: We assessed 1209 patients with AHT and 5895 matched controls. Approximately 48% of patients with AHT received inpatient care within 2 days of initial diagnosis, and 25% were treated in emergency departments. AHT diagnosis was associated with significantly greater medical service use and higher inpatient, outpatient, drug, and total costs for multiple years after the diagnosis. The estimated total medical cost attributable to AHT in the 4 years after diagnosis was


Prehospital Emergency Care | 2016

Hospitalized Traumatic Brain Injury: Low Trauma Center Utilization and High Interfacility Transfers among Older Adults

Mark Faul; Likang Xu; Scott M. Sasser

47 952 (95% confidence interval [CI],


Medical Care | 2015

Professional Fee Ratios for US Hospital Discharge Data

Cora Peterson; Likang Xu; Curtis Florence; Scott D. Grosse; Joseph L. Annest

40 219–

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Victor G. Coronado

Centers for Disease Control and Prevention

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Cora Peterson

Centers for Disease Control and Prevention

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Curtis Florence

Centers for Disease Control and Prevention

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David E. Sugerman

Centers for Disease Control and Prevention

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Jeneita M. Bell

Centers for Disease Control and Prevention

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Sharyn E. Parks

Centers for Disease Control and Prevention

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Mark Faul

Centers for Disease Control and Prevention

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Erin M. Parker

Centers for Disease Control and Prevention

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Fernando Ovalle

Centers for Disease Control and Prevention

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Lisa C. McGuire

Centers for Disease Control and Prevention

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