Browsing by Author "Juengst, Shannon B."
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Item Aging with Traumatic Brain Injury: Deleterious Effects of Injury Chronicity Are Most Pronounced in Later Life(Mary Ann Liebert, 2021) Rabinowitz, Amanda R.; Kumar, Raj G.; Sima, Adam; Venkatesan, Umesh M.; Juengst, Shannon B.; O’Neil-Pirozzi, Therese M.; Watanabe, Thomas K.; Goldin, Yelena; Hammond, Flora M.; Dreer, Laura E.; Physical Medicine and Rehabilitation, School of MedicineUnderstanding the effects of age on longitudinal traumatic brain injury (TBI) outcomes requires attention to both chronic and evolving TBI effects and age-related changes in health and function. The present study examines the independent and interactive effects of aging and chronicity on functional outcomes after TBI. We leveraged a well-defined cohort of individuals who sustained a moderate/severe TBI and received acute inpatient rehabilitation at specialized centers with high follow up rate as part of their involvement in the TBI Model Systems longitudinal study. We selected individuals at one of two levels of TBI chronicity (either 2 or 10 years post-injury) and used an exact matching procedure to obtain balanced chronicity groups based on age and other characteristics (N = 1993). We found that both older age and greater injury chronicity were related to greater disability, reduced functional independence, and less community participation. There was a significant age by chronicity interaction, indicating that the adverse effects of greater time post-injury were most pronounced among survivors who were age 75 or older. The inflection point at roughly 75 years of age was corroborated by post hoc analyses, dividing the sample by age at 75 years and examining the interaction between age group and chronicity. These findings point to a need for provision of rehabilitation services in the chronic injury period, particularly for those who are over 75 years old. Future work should investigate the underlying mechanisms of this interaction towards the goal of developing interventions and models of care to promote healthy aging with TBI.Item Anxiety Trajectories the First 10 Years After a Traumatic Brain Injury (TBI): A TBI Model Systems Study(Elsevier, 2022-11) Neumann, Dawn; Juengst, Shannon B.; Bombardier, Charles H.; Finn, Jacob A.; Miles, Shannon R.; Zhang, Yue; Kennedy, Richard; Rabinowitz, Amanda R.; Thomas, Amber; Dreer, Laura E.; Physical Medicine and Rehabilitation, School of MedicineObjective Determine anxiety trajectories and predictors up to 10 years posttraumatic brain injury (TBI). Design Prospective longitudinal, observational study. Setting Inpatient rehabilitation centers. Participants 2836 participants with moderate to severe TBI enrolled in the TBI Model Systems National Database who had ≥2 anxiety data collection points (N=2836). Main Outcome Measure Generalized Anxiety Disorder-7 (GAD-7) at 1, 2, 5, and 10-year follow-ups. Results Linear mixed models showed higher GAD-7 scores were associated with Black race (P<.001), public insurance (P<.001), pre-injury mental health treatment (P<.001), 2 additional TBIs with loss of consciousness (P=.003), violent injury (P=.047), and more years post-TBI (P=.023). An interaction between follow-up year and age was also related to GAD-7 scores (P=.006). A latent class mixed model identified 3 anxiety trajectories: low-stable (n=2195), high-increasing (n=289), and high-decreasing (n=352). The high-increasing and high-decreasing groups had mild or higher GAD-7 scores up to 10 years. Compared to the low-stable group, the high-decreasing group was more likely to be Black (OR=2.25), have public insurance (OR=2.13), have had pre-injury mental health treatment (OR=1.77), and have had 2 prior TBIs (OR=3.16). Conclusions A substantial minority of participants had anxiety symptoms that either increased (10%) or decreased (13%) over 10 years but never decreased below mild anxiety. Risk factors of anxiety included indicators of socioeconomic disadvantage (public insurance) and racial inequities (Black race) as well as having had pre-injury mental health treatment and 2 prior TBIs. Awareness of these risk factors may lead to identifying and proactively referring susceptible individuals to mental health services.Item Comorbid Conditions Among Adults 50 Years and Older With Traumatic Brain Injury: Examining Associations With Demographics, Healthcare Utilization, Institutionalization, and 1-Year Outcomes(Wolters Kluwer, 2019) Kumar, Raj G.; Olsen, Jennifer; Juengst, Shannon B.; Dams-OʼConnor, Kristen; OʼNeil-Pirozzi, Therese M.; Hammond, Flora M.; Wagner, Amy K.; Physical Medicine and Rehabilitation, School of MedicineObjectives: To assess the relationship of acute complications, preexisting chronic diseases, and substance abuse with clinical and functional outcomes among adults 50 years and older with moderate-to-severe traumatic brain injury (TBI). Design: Prospective cohort study. Participants: Adults 50 years and older with moderate-to-severe TBI (n = 2134). Measures: Clusters of comorbid health conditions empirically derived from non-injury International Classification of Diseases, Ninth Revision codes, demographic/injury variables, and outcome (acute and rehabilitation length of stay [LOS], Functional Independence Measure efficiency, posttraumatic amnesia [PTA] duration, institutionalization, rehospitalization, and Glasgow Outcome Scale-Extended (GOS-E) at 1 year). Results: Individuals with greater acute hospital complication burden were more often middle-aged men, injured in motor vehicle accidents, and had longer LOS and PTA. These same individuals experienced higher rates of 1-year rehospitalization and greater odds of unfavorable GOS-E scores at 1 year. Those with greater chronic disease burden were more likely to be rehospitalized at 1 year. Individuals with more substance abuse burden were most often younger (eg, middle adulthood), black race, less educated, injured via motor vehicle accidents, and had an increased risk for institutionalization. Conclusion: Preexisting health conditions and acute complications contribute to TBI outcomes. This work provides a foundation to explore effects of comorbidity prevention and management on TBI recovery in older adults.Item Early Factors Predictive of Extreme High and Low Life Satisfaction 10 Years Post-Moderate to Severe Traumatic Brain Injury(Wolters Kluwer, 2023) O’Neil-Pirozzi, Therese M.; Sevigny, Mitch; Pinto, Shanti M.; Hammond, Flora M.; Juengst, Shannon B.; Physical Medicine and Rehabilitation, School of MedicineObjective: To identify demographic, injury-related, and 1-year postinjury clinical and functional predictors of high and low life satisfaction at 10 years after moderate to severe traumatic brain injury (TBI) using an extreme phenotyping approach. Setting: Multicenter longitudinal database study. Participants: A total of 3040 people from the National Institute on Disability, Independent Living, and Rehabilitation Research TBI Model Systems database with life satisfaction data at 10 years post-TBI. Design: Multicenter, cross-sectional, observational design. Main measures: Satisfaction With Life Scale (outcome), Glasgow Coma Scale, Disability Rating Scale, Functional Independence Measure, Participation Assessment with Recombined Tools-Objective, Patient Health Questionnaire-9, and General Anxiety Disorder-7 (standardized predictors). Results: Greater cognitive and motor independence, more frequent community participation, and less depressive symptoms 1 year post-moderate to severe TBI predicted extreme high life satisfaction 10 years later. Non-Hispanic White and Hispanic individuals were significantly more likely than Black individuals to have extreme high life satisfaction 10 years post-TBI. Conclusions: Extreme phenotyping analysis complements existing knowledge regarding life satisfaction post-moderate to severe TBI. From a chronic disease management perspective, future studies are needed to examine the feasibility and impact of early postinjury medical and rehabilitative interventions targeting cognitive and motor function, community participation, and mood on the maintenance/enhancement of long-term life satisfaction post-TBI.Item Factors Associated With High and Low Life Satisfaction 10 Years After Traumatic Brain Injury(Elsevier, 2022) O’Neil-Pirozzi, Therese M.; Pinto, Shanti M.; Sevigny, Mitch; Hammond, Flora M.; Juengst, Shannon B.; Bombardier, Charles H.; Physical Medicine and Rehabilitation, School of MedicineObjective: To identify correlates of life satisfaction at 10 years after moderate to severe traumatic brain injury (TBI) using an extreme phenotyping approach. Design: Effect sizes were calculated in this observational cohort study to estimate relationships of 10-year postinjury extremely high, extremely low, and moderate life satisfaction with (1) pre-injury demographics, injury-related factors, and functional characteristics at inpatient rehabilitation admission and discharge; and (2) postinjury demographics and clinical and functional measures at 10 years postinjury. Setting: Multicenter longitudinal database study. Participants: People identified from the National Institute on Disability, Independent Living, and Rehabilitation Research TBI Database with life satisfaction data at 10 years post TBI (N=4800). Interventions: Not applicable. Main outcome measure: Satisfaction With Life Scale. Results: Although few pre-injury factors or clinical and functional factors shortly after injury were associated with 10-year life satisfaction groups, the following 10-year postinjury factors were associated with extremely high vs extremely low life satisfaction group membership: greater independent functioning, less disability, more frequent community participation, being employed, and having fewer depressive and anxiety symptoms. Those with extremely high life satisfaction were distinctly different from those with moderate and extremely low satisfaction. Extremely high life satisfaction was underrepresented among non-Hispanic Black persons relative to non-Hispanic White persons. Relationships between life satisfaction and independent functioning, disability, and participation were attenuated among non-Hispanic Black persons. Conclusions: Extreme phenotyping analysis complements existing knowledge regarding life satisfaction after moderate to severe TBI and may inform acute and postacute clinical service delivery by comparing extremely high and extremely low life satisfaction subgroups. Findings suggest little association among personal, clinical, and functional characteristics early post TBI and life satisfaction 10 years later. Contemporaneous correlates of extremely high life satisfaction exist at 10 years post TBI, although the positive relationship of these variables to life satisfaction may be attenuated for non-Hispanic Black persons.Item Post-Traumatic Epilepsy Associations with Mental Health Outcomes in the First Two Years after Moderate to Severe TBI: A TBI Model Systems Analysis(Elsevier, 2017-08) Juengst, Shannon B.; Wagner, Amy K.; Ritter, Anne C.; Szaflarski, Jerzy P.; Walker, William C.; Zafonte, Ross D.; Brown, Allen W.; Hammond, Flora M.; Pugh, Mary Jo; Shea, Timothy; Krellman, Jason W.; Bushnik, Tamara; Arenth, Patricia M.; Physical Medicine and Rehabilitation, School of MedicinePurpose Research suggests that there are reciprocal relationships between mental health (MH) disorders and epilepsy risk. However, MH relationships to post-traumatic epilepsy (PTE) have not been explored. Thus, the objective of this study was to assess associations between PTE and frequency of depression and/or anxiety in a cohort of individuals with moderate-to-severe TBI who received acute inpatient rehabilitation. Methods Multivariate regression models were developed using a recent (2010–2012) cohort (n = 867 unique participants) from the TBI Model Systems (TBIMS) National Database, a time frame during which self-reported seizures, depression [Patient Health Questionnaire (PHQ)-9], and anxiety [Generalized Anxiety Disorder (GAD-7)] follow-up measures were concurrently collected at year-1 and year-2 after injury. Results PTE did not significantly contribute to depression status in either the year-1 or year-2 cohort, nor did it contribute significantly to anxiety status in the year-1 cohort, after controlling for other known depression and anxiety predictors. However, those with PTE in year-2 had 3.34 times the odds (p = .002) of having clinically significant anxiety, even after accounting for other relevant predictors. In this model, participants who self-identified as Black were also more likely to report clinical symptoms of anxiety than those who identified as White. PTE was the only significant predictor of comorbid depression and anxiety at year-2 (Odds Ratio 2.71; p = 0.049). Conclusions Our data suggest that PTE is associated with MH outcomes 2 years after TBI, findings whose significance may reflect reciprocal, biological, psychological, and/or experiential factors contributing to and resulting from both PTE and MH status post-TBI. Future work should consider temporal and reciprocal relationships between PTE and MH as well as if/how treatment of each condition influences biosusceptibility to the other condition.Item Predictors of Missed Follow-up Visits in the National Traumatic Brain Injury Model Systems Cohort Study(Elsevier, 2022-12) Vos, Leia; Ngan, Esther; Novelo, Luis Leon; Williams , Michael W.; Hammond, Flora M.; Walker, William C.; Clark, Allison N.; Lopez, Andrea P. Ochoa; Juengst, Shannon B.; Sherer, Mark; Physical Medicine and Rehabilitation, School of MedicineObjective To identify key variables that could predict risk of loss to follow-up (LTFU) in a nationally funded longitudinal database of persons with traumatic brain injury. Design Secondary analysis of a prospective longitudinal cohort study. Setting Traumatic Brain Injury Model System (TBIMS) Centers in the US. Participants A total of 17,956 TBIMS participants (N=17,956) with interview status data available were included if eligible for 1-, 2-, 5-, 10-, 15-, or 20-year follow-ups between October 31, 1989, and September 30, 2020. Interventions Not applicable. Main Outcome Measures Follow-up data collection completion status at years 1, 2, 5, 10, 15, and 20. Results Information relevant to participants’ history, injury characteristics, rehabilitation stay, and patterns of follow-up across 20 years were considered using a series of logistic regression models. Overall, LTFU rates were low (consistently <20%). The most robust predictors of LTFU across models were missed earlier follow-ups and demographic factors including Hispanic ethnicity, lower education, and lack of private health insurance. Conclusions Efforts to retain participants in such social disadvantaged or minority groups are encouraged given their disproportionate rate of LTFU. Repeated attempts to reach participants after a previously missed assessment are beneficial because many participants that missed 1 or more follow-ups were later recovered.Item Societal Participation of People With Traumatic Brain Injury Before and During the COVID-19 Pandemic: A NIDILRR Traumatic Brain Injury Model Systems Study(Elsevier, 2023) Venkatesan, Umesh M.; Adams, Leah M.; Rabinowitz, Amanda R.; Agtarap, Stephanie; Bombardier, Charles H.; Bushnik, Tamara; Chiaravalloti, Nancy D.; Juengst, Shannon B.; Katta-Charles, Sheryl; Perrin, Paul B.; Pinto, Shanti M.; Weintraub, Alan H.; Whiteneck, Gale G.; Hammond, Flora M.; Physical Medicine and Rehabilitation, School of MedicineObjective: To examine the effect of the COVID-19 pandemic on societal participation in people with moderate-to-severe traumatic brain injury (TBI). Design: Cross-sectional retrospective cohort. Setting: National TBI Model Systems centers, United States. Participants: TBI Model Systems enrollees (N=7003), ages 16 and older and 1-30 years postinjury, interviewed either prepandemic (PP) or during the pandemic (DP). The sample was primarily male (72.4%) and White (69.5%), with motor vehicle collisions as the most common cause of injury (55.1%). Interventions: Not applicable. Main outcome measure: The 3 subscales of the Participation Assessment with Recombined Tools-Objective: Out and About (community involvement), Productivity, and Social Relations. Results: Out and About, but not Productivity or Social Relations, scores were appreciably lower among DP participants compared to PP participants (medium effect). Demographic and clinical characteristics showed similar patterns of association with participation domains across PP and DP. When their unique contributions were examined in regression models, age, self-identified race, education level, employment status, marital status, income level, disability severity, and life satisfaction were variably predictive of participation domains, though most effects were small or medium in size. Depression and anxiety symptom severities each showed small zero-order correlations with participation domains across PP and DP but had negligible effects in regression analyses. Conclusions: Consistent with the effect of COVID-19 on participation levels in the general population, people with TBI reported less community involvement during the pandemic, potentially compounding existing postinjury challenges to societal integration. The pandemic does not appear to have altered patterns of association between demographic/clinical characteristics and participation. Assessing and addressing barriers to community involvement should be a priority for TBI treatment providers. Longitudinal studies of TBI that consider pandemic-related effects on participation and other societally linked outcomes will help to elucidate the potential longer-term effect the pandemic has on behavioral health in this population.Item Using Machine Learning to Examine Suicidal Ideation After TBI: A TBI Model Systems National Database Study(Wolters Kluwer, 2023) Fisher, Lauren B.; Curtiss, Joshua E.; Klyce, Daniel W.; Perrin, Paul B.; Juengst, Shannon B.; Gary, Kelli W.; Niemeier, Janet P.; McConnell Hammond, Flora; Bergquist, Thomas F.; Wagner, Amy K.; Rabinowitz, Amanda R.; Giacino, Joseph T.; Zafonte, Ross D.; Physical Medicine and Rehabilitation, School of MedicineObjective: The aim of the study was to predict suicidal ideation 1 yr after moderate to severe traumatic brain injury. Design: This study used a cross-sectional design with data collected through the prospective, longitudinal Traumatic Brain Injury Model Systems network at hospitalization and 1 yr after injury. Participants who completed the Patient Health Questionnaire-9 suicide item at year 1 follow-up ( N = 4328) were included. Results: A gradient boosting machine algorithm demonstrated the best performance in predicting suicidal ideation 1 yr after traumatic brain injury. Predictors were Patient Health Questionnaire-9 items (except suicidality), Generalized Anxiety Disorder-7 items, and a measure of heavy drinking. Results of the 10-fold cross-validation gradient boosting machine analysis indicated excellent classification performance with an area under the curve of 0.882. Sensitivity was 0.85 and specificity was 0.77. Accuracy was 0.78 (95% confidence interval, 0.77-0.79). Feature importance analyses revealed that depressed mood and guilt were the most important predictors of suicidal ideation, followed by anhedonia, concentration difficulties, and psychomotor disturbance. Conclusions: Overall, depression symptoms were most predictive of suicidal ideation. Despite the limited clinical impact of the present findings, machine learning has potential to improve prediction of suicidal behavior, leveraging electronic health record data, to identify individuals at greatest risk, thereby facilitating intervention and optimization of long-term outcomes after traumatic brain injury.