Contraceptive method usage pattern and percentage of new pregnancies among adolescent and young adult family planning patients: a mixed-methods retrospective study.

OBJECTIVES: Despite increased access to contraceptive methods (CM), the US still has the highest rate of adolescent pregnancy among industrialized nations, and adolescents from historically marginalized groups are disproportionately affected. In this study, we sought to (1) understand if differences in CM usage were associated with differential percentages of new pregnancies among adolescents and young adult patients attending a family planning (FP) clinic at an urban community practice and (2) identify areas of improvement in our FP counseling. METHODS: Mixed-methods study design consisting of (1) a 12-month retrospective chart review and (2) a self-answered cross-sectional survey of FP patients. Chi-square, Fisher's exact tests, and risk ratio were performed to analyze the percentage of new pregnancies according to CM usage. RESULTS: The percentage of new pregnancies was 11 among our FP patients (N=555) during this study period. As anticipated, pregnancy was associated with no CM use, CM discontinuation, and, interestingly, multiple CM changes (p<0.001). The probability of no-pregnancy significantly decreased among patients on no method, who discontinued their CM or made multiple CM changes compared to those with continuous CM use. There was no association between the percentage of new pregnancies and any particular CM type. CONCLUSION: Despite adequate access to FP patient services and high patient satisfaction levels, our findings indicate a need to adopt a more patient-centered approach in our FP counseling that addresses patient's reproductive life plans, preferences, and method side effects to increase CM uptake and satisfaction and decrease frequency of CM changes which is associated with increased risk of mistimed pregnancy during method switching.

Fluid biomarkers and neuroimaging in mild traumatic brain injury: current uses and potential future directions for clinical use in emergency medicine.

Mild traumatic brain injury is a common presentation to the emergency department, with current management often focusing on determining whether a patient requires a CT head scan and/or neurosurgical intervention. There is a growing appreciation that approximately 20%-40% of patients, including those with a negative (normal) CT, will develop ongoing symptoms for months to years, often termed post-concussion syndrome. Owing to the requirement for improved diagnostic and prognostic mechanisms, there has been increasing evidence concerning the utility of both imaging and blood biomarkers.Blood biomarkers offer the potential to better risk stratify patients for requirement of neuroimaging than current clinical decisions rules. However, improved assessment of the clinical utility is required prior to wide adoption. MRI, using clinical sequences and advanced quantitative methods, can detect lesions not visible on CT in up to 30% of patients that may explain, at least in part, some of the ongoing problems. The ability of an acute biomarker (be it imaging, blood or other) to highlight those patients at greater risk of ongoing deficits would allow for greater personalisation of follow-up care and resource allocation.We discuss here both the current evidence and the future potential clinical usage of blood biomarkers and advanced MRI to improve diagnostic pathways and outcome prediction following mild traumatic brain injury.

Prognostic Value of Serum Biomarkers in Patients With Moderate-Severe Traumatic Brain Injury, Differentiated by Marshall Computer Tomography Classification.

Prognostication is challenging in patients with traumatic brain injury (TBI) in whom computed tomography (CT) fails to fully explain a low level of consciousness. Serum biomarkers reflect the extent of structural damage in a different way than CT does, but it is unclear whether biomarkers provide additional prognostic value across the range of CT abnormalities. This study aimed to determine the added predictive value of biomarkers, differentiated by imaging severity. This prognostic study used data from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study (2014-2017). The analysis included patients aged ≥16 years with a moderate-severe TBI (Glasgow Coma Scale [GCS] <13) who had an acute CT and serum biomarkers obtained ≤24h of injury. Of six protein biomarkers (GFAP, NFL, NSE, S100B, Tau, UCH-L1), the most prognostic panel was selected using lasso regression. The performance of established prognostic models (CRASH and IMPACT) was assessed before and after the addition of the biomarker panel and compared between patients with different CT Marshall scores (Marshall score <3 vs. Marshall score ≥3). Outcome was assessed at six months post-injury using the extended Glasgow Outcome Scale (GOSE), and dichotomized into favorable and unfavorable (GOSE <5). We included 872 patients with moderate-severe TBI. The mean age was 47 years (range 16-95); 647 (74%) were male and 438 (50%) had a Marshall CT score <3. The serum biomarkers GFAP, NFL, S100B and UCH-L1 provided complementary prognostic information; NSE and Tau showed no added value. The addition of the biomarker panel to established prognostic models increased the area under the curve (AUC) by 0.08 and 0.03, and the explained variation in outcome by 13-14% and 7-8%, for patients with a Marshall score of <3 and ≥3, respectively. The incremental AUC of biomarkers for individual models was significantly greater when the Marshall score was <3 compared with ≥3 (p < 0.001). Serum biomarkers improve outcome prediction after moderate-severe TBI across the range of imaging severities and especially in patients with a Marshall score <3.

Assessment of Screening Tools to Identify Substance Use Disorders Among Adolescents.

Importance: Efficient screening tools that effectively identify substance use disorders (SUDs) among youths are needed. Objective: To evaluate the psychometric properties of 3 brief substance use screening tools (Screening to Brief Intervention [S2BI]; Brief Screener for Tobacco, Alcohol, and Drugs [BSTAD]; and Tobacco, Alcohol, Prescription Medication, and Other Substances [TAPS]) with adolescents aged 12 to 17 years. Design, Setting, and Participants: This cross-sectional validation study was conducted from July 1, 2020, to February 28, 2022. Participants aged 12 to 17 years were recruited virtually and in person from 3 health care settings in Massachusetts: (1) an outpatient adolescent SUD treatment program at a pediatric hospital, (2) an adolescent medicine program at a community pediatric practice affiliated with an academic institution, and (3) 1 of 28 participating pediatric primary care practices. Participants were randomly assigned to complete 1 of the 3 electronic screening tools via self-administration, followed by a brief electronic assessment battery and a research assistant-administered diagnostic interview as the criterion standard measure for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) diagnoses of SUDs. Data were analyzed from May 31 to September 13, 2022. Main Outcomes and Measures: The main outcome was a DSM-5 diagnosis of tobacco/nicotine, alcohol, or cannabis use disorder as determined by the criterion standard World Mental Health Composite International Diagnostic Interview Substance Abuse Module. Classification accuracy of the 3 substance use screening tools was assessed by examining the agreement between the criterion, using sensitivity and specificity, based on cut points for each tool for use disorder, chosen a priori from previous studies. Results: This study included 798 adolescents, with a mean (SD) age of 14.6 (1.6) years. The majority of participants identified as female (415 [52.0%]) and were White (524 [65.7%]). High agreement between screening results and the criterion standard measure was observed, with area under the curve values ranging from 0.89 to 1 for nicotine, alcohol, and cannabis use disorders for each of the 3 screening tools. Conclusions and Relevance: These findings suggest that screening tools that use questions on past-year frequency of use are effective for identifying adolescents with SUDs. Future work could examine whether these tools have differing properties when used with different groups of adolescents in different settings.

Racial and Ethnic Differences in Length of Stay for US Children Hospitalized for Acute Osteomyelitis.

OBJECTIVE: To examine the associations between race and ethnicity and length of stay (LOS) for US children with acute osteomyelitis. STUDY DESIGN: Using the Kids' Inpatient Database, we conducted a cross-sectional study of children <21 years old hospitalized in 2016 or 2019 with acute osteomyelitis. Using survey-weighted negative binomial regression, we modeled LOS by race and ethnicity, adjusting for clinical and hospital characteristics and socioeconomic status. Secondary outcomes included prolonged LOS, defined as LOS of >7 days (equivalent to LOS in the highest quartile). RESULTS: We identified 2388 children discharged with acute osteomyelitis. The median LOS was 5 days (IQR, 3-7). Compared with White children, children of Black race (adjusted incidence rate ratio [aIRR] 1.15; 95% CI, 1.05-1.27), Hispanic ethnicity (aIRR 1.11; 95% CI, 1.02-1.21), and other race and ethnicity (aIRR 1.12; 95% CI, 1.01-1.23) had a significantly longer LOS. The odds of Black children experiencing prolonged LOS was 46% higher compared with White children (aOR, 1.46; 95% CI, 1.01-2.11). CONCLUSIONS: Children of Black race, Hispanic ethnicity, and other race and ethnicity with acute osteomyelitis experienced longer LOS than White children. Elucidating the mechanisms underlying these race- and ethnicity-based differences, including social drivers such as access to care, structural racism, and bias in provision of inpatient care, may improve management and outcomes for children with acute osteomyelitis.

Use of Support Vector Machines Approach via ComBat Harmonized Diffusion Tensor Imaging for the Diagnosis and Prognosis of Mild Traumatic Brain Injury: A CENTER-TBI Study.

The prediction of functional outcome after mild traumatic brain injury (mTBI) is challenging. Conventional magnetic resonance imaging (MRI) does not do a good job of explaining the variance in outcome, as many patients with incomplete recovery will have normal-appearing clinical neuroimaging. More advanced quantitative techniques such as diffusion MRI (dMRI), can detect microstructural changes not otherwise visible, and so may offer a way to improve outcome prediction. In this study, we explore the potential of linear support vector classifiers (linearSVCs) to identify dMRI biomarkers that can predict recovery after mTBI. Simultaneously, the harmonization of fractional anisotropy (FA) and mean diffusivity (MD) via ComBat was evaluated and compared for the classification performances of the linearSVCs. We included dMRI scans of 179 mTBI patients and 85 controls from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI), a multi-center prospective cohort study, up to 21 days post-injury. Patients were dichotomized according to their Extended Glasgow Outcome Scale (GOSE) scores at 6 months into complete (n = 92; GOSE = 8) and incomplete (n = 87; GOSE <8) recovery. FA and MD maps were registered to a common space and harmonized via the ComBat algorithm. LinearSVCs were applied to distinguish: (1) mTBI patients from controls and (2) mTBI patients with complete from those with incomplete recovery. The linearSVCs were trained on (1) age and sex only, (2) non-harmonized, (3) two-category-harmonized ComBat, and (4) three-category-harmonized ComBat FA and MD images combined with age and sex. White matter FA and MD voxels and regions of interest (ROIs) within the John Hopkins University (JHU) atlas were examined. Recursive feature elimination was used to identify the 10% most discriminative voxels or the 10 most discriminative ROIs for each implementation. mTBI patients displayed significantly higher MD and lower FA values than controls for the discriminative voxels and ROIs. For the analysis between mTBI patients and controls, the three-category-harmonized ComBat FA and MD voxel-wise linearSVC provided significantly higher classification scores (81.4% accuracy, 93.3% sensitivity, 80.3% F1-score, and 0.88 area under the curve [AUC], p < 0.05) compared with the classification based on age and sex only and the ROI approaches (accuracies: 59.8% and 64.8%, respectively). Similar to the analysis between mTBI patients and controls, the three-category-harmonized ComBat FA and MD maps voxelwise approach yields statistically significant prediction scores between mTBI patients with complete and those with incomplete recovery (71.8% specificity, 66.2% F1-score and 0.71 AUC, p < 0.05), which provided a modest increase in the classification score (accuracy: 66.4%) compared with the classification based on age and sex only and ROI-wise approaches (accuracy: 61.4% and 64.7%, respectively). This study showed that ComBat harmonized FA and MD may provide additional information for diagnosis and prognosis of mTBI in a multi-modal machine learning approach. These findings demonstrate that dMRI may assist in the early detection of patients at risk of incomplete recovery from mTBI.

A Patient Portal Intervention to Promote Adolescent and Young Adult Self-Management Skills.

OBJECTIVE: Failure to transfer care to adult medicine is associated with gaps in health care access and poor health outcomes among young adults. We examined whether a patient portal educational intervention is acceptable and can improve adolescent and young adult (AYA) self-management skills toward transition readiness to adult care. METHODS: We conducted a single site feasibility study using a mixed research method consisting of 1) a patient portal one-on-one educational intervention with pre- and postsurveys adapted from the Transition Readiness Assessment Questionnaire to assess participant self-management skills and portal user activity; 2) portal user experience was assessed through semistructured interviews until thematic saturation was reached. Study participants were 13 to 25 years old and received care at an academic-affiliated community pediatric clinic. Descriptive statistics were used to describe participant characteristics, paired t tests, or Wilcoxon signed-rank tests to assess outcomes of survey response changes pre- versus postintervention. RESULTS: Sixty percent of enrolled participants (N = 78) completed the surveys. Following the educational intervention, we observed an increase in participants self-reporting knowing how to access their protected health information P < .0001, (95%, confidence interval [CI], 1-2) and in the proportion of participants self-reporting to strongly agree to know their medication P = .025 (95%, CI 0-1). We also observed an increase in portal user access at 3 weeks; the median number of logins was 2 per participant (range 1-36, P < .0001). The Portal user experience was strongly positive. CONCLUSION: Our patient portal educational intervention suggests that AYAs welcome a patient portal to access protected health information and is associated with an increase in the proportion of participants self-reporting to strongly agree with knowing their medication. While these results are encouraging, this is a quasiexperimental study designed on the frame of feasibility. Our study was not adequately powered, limiting our findings' significance. Future interventions would benefit from a larger sample size with a comparison group to ascertain the effect of a patient portal on self-management skills in a diverse AYA population and inform best practices.

Validation of cross-sectional and longitudinal ComBat harmonization methods for magnetic resonance imaging data on a travelling subject cohort.

Background: The growth in multi-center neuroimaging studies generated a need for methods that mitigate the differences in hardware and acquisition protocols across sites i.e., scanner effects. ComBat harmonization methods have shown promise but have not yet been tested on all the data types commonly studied with magnetic resonance imaging (MRI). This study aimed to validate neuroCombat, longCombat and gamCombat on both structural and diffusion metrics in both cross-sectional and longitudinal data. Methods: We used a travelling subject design whereby 73 healthy volunteers contributed 161 scans across two sites and four machines using one T1 and five diffusion MRI protocols. Scanner was defined as a composite of site, machine and protocol. A common pipeline extracted two structural metrics (volumes and cortical thickness) and two diffusion tensor imaging metrics (mean diffusivity and fractional anisotropy) for seven regions of interest including gray and (except for cortical thickness) white matter regions. Results: Structural data exhibited no significant scanner effect and therefore did not benefit from harmonization in our particular cohort. Indeed, attempting harmonization obscured the true biological effect for some regions of interest. Diffusion data contained marked scanner effects and was successfully harmonized by all methods, resulting in smaller scanner effects and better detection of true biological effects. LongCombat less effectively reduced the scanner effect for cross-sectional white matter data but had a slightly lower probability of incorrectly finding group differences in simulations, compared to neuroCombat and gamCombat. False positive rates for all methods and all metrics did not significantly exceed 5%. Conclusions: Statistical harmonization of structural data is not always necessary and harmonization in the absence of a scanner effect may be harmful. Harmonization of diffusion MRI data is highly recommended with neuroCombat, longCombat and gamCombat performing well in cross-sectional and longitudinal settings.

Serum biomarkers identify critically ill traumatic brain injury patients for MRI.

BACKGROUND: Magnetic resonance imaging (MRI) carries prognostic importance after traumatic brain injury (TBI), especially when computed tomography (CT) fails to fully explain the level of unconsciousness. However, in critically ill patients, the risk of deterioration during transfer needs to be balanced against the benefit of detecting prognostically relevant information on MRI. We therefore aimed to assess if day of injury serum protein biomarkers could identify critically ill TBI patients in whom the risks of transfer are compensated by the likelihood of detecting management-altering neuroimaging findings. METHODS: Data were obtained from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. Eligibility criteria included: TBI patients aged ≥ 16 years, Glasgow Coma Score (GCS) < 13 or patient intubated with unrecorded pre-intubation GCS, CT with Marshall score < 3, serum biomarkers (GFAP, NFL, NSE, S100B, Tau, UCH-L1) sampled ≤ 24 h of injury, MRI < 30 days of injury. The degree of axonal injury on MRI was graded using the Adams-Gentry classification. The association between serum concentrations of biomarkers and Adams-Gentry stage was assessed and the optimum threshold concentration identified, assuming different minimum sensitivities for the detection of brainstem injury (Adams-Gentry stage 3). A cost-benefit analysis for the USA and UK health care settings was also performed. RESULTS: Among 65 included patients (30 moderate-severe, 35 unrecorded) axonal injury was detected in 54 (83%) and brainstem involvement in 33 (51%). In patients with moderate-severe TBI, brainstem injury was associated with higher concentrations of NSE, Tau, UCH-L1 and GFAP. If the clinician did not want to miss any brainstem injury, NSE could have avoided MRI transfers in up to 20% of patients. If a 94% sensitivity was accepted considering potential transfer-related complications, GFAP could have avoided 30% of transfers. There was no added net cost, with savings up to £99 (UK) or $612 (US). No associations between proteins and axonal injury were found in intubated patients without a recorded pre-intubation GCS. CONCLUSIONS: Serum protein biomarkers show potential to safely reduce the number of transfers to MRI in critically ill patients with moderate-severe TBI at no added cost.

Improving HPV Vaccination Rates in a Racially and Ethnically Diverse Pediatric Population.

BACKGROUND AND OBJECTIVES: Nationally, 54.2% of youth are fully vaccinated for human papilloma virus (HPV) with persistent gender and racial/ethnic disparities. We used a quality improvement approach to improve completion of the HPV vaccine series by age 13 years. As a secondary aim, we examined racial/ethnic and gender differences in vaccine uptake. METHODS: The study setting included 2 pediatric, academic, primary care practices in Massachusetts. We designed a multilevel patient-, provider-, and systems-level intervention addressing parental hesitancy, provider communication, and clinical operations. Rates of HPV series completion by age 13 were monitored using a control p chart. Bivariate and multivariate analyses evaluated vaccine completion differences on the basis of clinic size, gender, and race/ethnicity. RESULTS: Between July 1, 2014, and September 30, 2021, control p charts showed special cause variation with HPV vaccine initiation by age 9 years, increasing from 1% to 52%, and vaccine completion by 13 years, increasing from 37% to 77%. Compared with White and Black children, Hispanic children were more likely to initiate the HPV vaccine at age 9 (adjusted odds ratio [95% confidence interval] = (1.4-2.6)] and complete the series by age 13 (adjusted odds ratio [95% confidence interval] = 2.3 (1.7-3.0). CONCLUSIONS: A multilevel intervention was associated with sustained HPV vaccine series completion by age 13 years. Hispanic children were more likely to be vaccinated. Qualitative family input was critical to intervention design. Provider communication training addressed vaccine hesitancy. Initiation of the vaccine at age 9 and clinicwide vaccine protocols were key to sustaining improvements.

A Patient Navigator Intervention Supporting Timely Transfer Care of Adolescent and Young Adults of Hispanic Descents Attending an Urban Primary Care Pediatrics Clinic.

While comprehensive health care transition is associated with better health outcomes, navigating health care transition can be difficult for adolescents and young adults (AYAs), especially those with fewer resources. Our practice serves low-income patients from birth to their 26th birthday; many are medically and socially complex and experience several obstacles to navigate care. As a result, most have not initiated a transfer to adult medicine by age 25. This quality-improvement initiative was designed to implement a structured intervention that supports the planned transfer of care to adult primary care. METHODS: Informed by our baseline data on all patients eligible to transfer care, we designed a patient outreach workflow centered on a patient navigator (PN) intervention. We used a Plan-Do-Study-Act format to optimize our process and run charts to evaluate our intervention. RESULTS: Over 3 years, our PN reached out to 96% of patients (n = 226) eligible to transfer care and offered transfer assistance in person or in writing. Among those surveyed, 92% (n = 93) reported awareness of our practice transition policy, and 83% (n = 64) rated their confidence to transfer care at 3 or higher on a 5-point scale. CONCLUSIONS: AYAs are aware of our practice transition policy, yet they welcome in-person transfer assistance. This intervention seems to improve their confidence to transfer care. However, despite PN outreach efforts, many remain empaneled in our practice and thus lack the self-care skills necessary to complete the transfer independently. Future transition interventions should address AYA's self-management skills toward transition readiness.

Neuroanatomical Substrates and Symptoms Associated With Magnetic Resonance Imaging of Patients With Mild Traumatic Brain Injury.

Importance: Persistent symptoms after mild traumatic brain injury (mTBI) represent a major public health problem. Objective: To identify neuroanatomical substrates of mTBI and the optimal timing for magnetic resonance imaging (MRI). Design, Setting, and Participants: This prospective multicenter cohort study encompassed all eligible patients from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study (December 19, 2014, to December 17, 2017) and a local cohort (November 20, 2012, to December 19, 2013). Patients presented to the hospital within 24 hours of an mTBI (Glasgow Coma Score, 13-15), satisfied local criteria for computed tomographic scanning, and underwent MRI scanning less than 72 hours (MR1) and 2 to 3 weeks (MR2) after injury. In addition, 104 control participants were enrolled across all sites. Data were analyzed from January 1, 2019, to December 31, 2020. Exposure: Mild TBI. Main Outcomes and Measures: Volumes and diffusion parameters were extracted via automated bespoke pipelines. Symptoms were measured using the Rivermead Post Concussion Symptoms Questionnaire in the short term and the extended Glasgow Outcome Scale at 3 months. Results: Among the 81 patients included in the analysis (73 CENTER-TBI and 8 local), the median age was 45 (interquartile range [IQR], 24-59; range, 14-85) years, and 57 (70.4%) were male. Structural sequences were available for all scans; diffusion data, for 73 MR1 and 79 MR2 scans. After adjustment for multiple comparisons between scans, visible lesions did not differ significantly, but cerebral white matter volume decreased (MR2:MR1 ratio, 0.98; 95% CI, 0.96-0.99) and ventricular volume increased (MR2:MR1 ratio, 1.06; 95% CI, 1.02-1.10). White matter volume was within reference limits on MR1 scans (patient to control ratio, 0.99; 95% CI, 0.97-1.01) and reduced on MR2 scans (patient to control ratio, 0.97; 95% CI, 0.95-0.99). Diffusion parameters changed significantly between scans in 13 tracts, following 1 of 3 trajectories. Symptoms measured by Rivermead Post Concussion Symptoms Questionnaire scores worsened in the progressive injury phenotype (median, +5.00; IQR, +2.00 to +5.00]), improved in the minimal change phenotype (median, -4.50; IQR, -9.25 to +1.75), and were variable in the pseudonormalization phenotype (median, 0.00; IQR, -6.25 to +9.00) (P = .02). Recovery was favorable for 33 of 65 patients (51%) and was more closely associated with MR1 than MR2 (area under the curve, 0.87 [95% CI, 0.78-0.96] vs 0.75 [95% CI, 0.62-0.87]; P = .009). Conclusions and Relevance: These findings suggest that advanced MRI reveals potential neuroanatomical substrates of mTBI in white matter and is most strongly associated with odds of recovery if performed within 72 hours, although future validation is required.

Blood biomarkers on admission in acute traumatic brain injury: Relations to severity, CT findings and care path in the CENTER-TBI study.

BACKGROUND: Serum biomarkers may inform and improve care in traumatic brain injury (TBI). We aimed to correlate serum biomarkers with clinical severity, care path and imaging abnormalities in TBI, and explore their incremental value over clinical characteristics in predicting computed tomographic (CT) abnormalities. METHODS: We analyzed six serum biomarkers (S100B, NSE, GFAP, UCH-L1, NFL and t-tau) obtained <24 h post-injury from 2867 patients with any severity of TBI in the Collaborative European NeuroTrauma Effectiveness Research (CENTER-TBI) Core Study, a prospective, multicenter, cohort study. Univariable and multivariable logistic regression analyses were performed. Discrimination was assessed by the area under the receiver operating characteristic curve (AUC) with 95% confidence intervals. FINDINGS: All biomarkers scaled with clinical severity and care path (ER only, ward admission, or ICU), and with presence of CT abnormalities. GFAP achieved the highest discrimination for predicting CT abnormalities (AUC 0•89 [95%CI: 0•87-0•90]), with a 99% likelihood of better discriminating CT-positive patients than clinical characteristics used in contemporary decision rules. In patients with mild TBI, GFAP also showed incremental diagnostic value: discrimination increased from 0•84 [95%CI: 0•83-0•86] to 0•89 [95%CI: 0•87-0•90] when GFAP was included. Results were consistent across strata, and injury severity. Combinations of biomarkers did not improve discrimination compared to GFAP alone. INTERPRETATION: Currently available biomarkers reflect injury severity, and serum GFAP, measured within 24 h after injury, outperforms clinical characteristics in predicting CT abnormalities. Our results support the further development of serum GFAP assays towards implementation in clinical practice, for which robust clinical assay platforms are required. FUNDING: CENTER-TBI study was supported by the European Union 7th Framework program (EC grant 602150).

Assessment of: self-management skills towards transition readiness and patient portal use among Hispanic adolescent and young adult patients.

We conducted a 15-item self-answered survey to assess self-management skills and explore interest in a patient portal among publicly insured Hispanic youths ages 12-25. Out of 61 participants, 33% did not know how to schedule an appointment, 50% how to refill prescriptions, 58% how to access their personal health information, 84% were unaware of the portal and 92% never used it. Referring to the portal as an online application increased participants interest by 39%. Although study participants exhibit low self-management skills and awareness of a patient portal, most welcome using it to manage their health. Further research is needed to validate whether a patient portal can promote self-management skills towards transition readiness among Hispanic youths.

Study Design Features Associated with Patient Attrition in Studies of Traumatic Brain Injury: A Systematic Review.

Loss to follow-up or patient attrition is common in longitudinal studies of traumatic brain injury (TBI). Lack of understanding exists between the relation of study design and patient attrition. This review aimed to identify features of study design that are associated with attrition. We extended the analysis of a previous systematic review on missing data in 195 TBI studies using the Glasgow Outcome Scale Extended (GOSE) as an outcome measure. Studies that did not report attrition or had heterogeneous methodology were excluded, leaving 148 studies. Logistic regression found seven of the 14 design features studied to be associated with patient attrition. Four features were associated with an increase in attrition: greater follow-up frequency (odds ratio [OR]: 1.2, 95% confidence interval [CI]: 1.0-1.3), single rather than multi-center design (OR: 1.6, 95% CI: 1.2-2.2), enrollment of exclusively mild TBI patients (OR: 2.8, 95% CI: 1.6-4.9), and collection of the GOS by post or telephone without face-to-face contact (OR: 1.6, 95% CI:1.1-2.4). Conversely, two features were associated with a reduction in attrition: recruitment in an acute care setting defined as the ward or intensive care unit (OR: 0.58, 95% CI: 0.47-0.72) and a greater duration of time between injury and follow-up (OR: 0.93, 95% CI: 0.88-0.99). This review highlights design features that are associated with attrition and could be considered when planning for patient retention. Further work is needed to establish the mechanisms between the observed associations and potential remedies.

Mining Symbionts of a Spider-Transmitted Fungus Illuminates Uncharted Biosynthetic Pathways to Cytotoxic Benzolactones.

A spider-transmitted fungus (Rhizopus microsporus) that was isolated from necrotic human tissue was found to harbor endofungal bacteria (Burkholderia sp.). Metabolic profiling of the symbionts revealed a complex of cytotoxic agents (necroximes). Their structures were characterized as oxime-substituted benzolactone enamides with a peptidic side chain. The potently cytotoxic necroximes are also formed in symbiosis with the fungal host and could have contributed to the necrosis. Genome sequencing and computational analyses revealed a novel modular PKS/NRPS assembly line equipped with several non-canonical domains. Based on gene-deletion mutants, we propose a biosynthetic model for bacterial benzolactones. We identified specific traits that serve as genetic handles to find related salicylate macrolide pathways (lobatamide, oximidine, apicularen) in various other bacterial genera. Knowledge of the biosynthetic pathway enables biosynthetic engineering and genome-mining approaches.

Handling of Missing Outcome Data in Traumatic Brain Injury Research: A Systematic Review.

Traumatic brain injury (TBI) research commonly measures long-term functional outcome, but studies often suffer from missing data as patients are lost to follow-up. This review assesses the extent and handling of missing outcome data in the TBI literature and provides a practical guide for future research. Relevant electronic databases were searched from January 1, 2012 to October 27, 2017 for TBI studies that used the Glasgow Outcome Scale or Glasgow Outcome Scale-Extended (GOS/GOSE) as an outcome measure. Studies were screened and data extracted in line with Cochrane guidance. A total of 195 studies, 21 interventional, 174 observational, with 104,688 patients were included. Using the reported follow-up rates in a mixed model, on average 91% of patients were predicted to return to follow-up at 6 months post-injury, 84% at 1 year, and 69% at 2 years. However, 36% of studies provided insufficient information to determine the number of subjects at each time-point. Of 139 studies that did report missing outcome data, only 50% attempted to identify why data were missing, with just 4 reporting their assumption on the "missingness mechanism." The handling of missing data was heterogeneous, with the most common method being its exclusion from analysis. These results confirm substantial variability in the standard of reporting and handling of missing outcome data in TBI research. We conclude that practical guidance is needed to facilitate meaningful and accurate study interpretation, and therefore propose a framework for the handling of missing outcome data in future TBI research.