Browsing by Author "Fabio, Anthony"

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    Adverse Social Exposome by Area Deprivation Index (ADI) and Alzheimer’s Disease and Related Dementias (ADRD) Neuropathology for a National Cohort of Brain Donors within the Neighborhoods Study
    (Wiley, 2025-01-09) Kind, Amy J. H.; Bendlin, Barbara B.; Keller, Sarah A.; Powell, W. Ryan; DeWitt, Amanda; Cheng, Yixuan; Chamberlain, Luke; Lyons Boone, Brittney; Miller, Megan J.; Vik, Stacie M.; Abner, Erin L.; Alosco, Michael L.; Apostolova, Liana G.; Bakulski, Kelly M.; Barnes, Lisa L.; Bateman, James R.; Beach, Thomas G.; Bennett, David A.; Brewer, James B.; Carrion, Carmen; Chodosh, Joshua; Craft, Suzanne; Croff, Raina; Fabio, Anthony; Tomaszewski Farias, Sarah; Goldstein, Felicia; Henderson, Victor W.; Karikari, Thomas; Kofler, Julia; Kucharska-Newton, Anna M.; Lamar, Melissa; Lanata, Serggio; Lepping, Rebecca J.; Lingler, Jennifer H.; Lockhart, Samuel N.; Mahnken, Jonathan D.; Marsh, Karyn; Meyer, Oanh L.; Miller, Bruce L.; Morris, Jill K.; Neugroschl, Judith A.; O'Connor, Maureen K.; Paulson, Henry L.; Perrin, Richard J.; Pierce, Aimee; Raji, Cyrus A.; Reiman, Eric M.; Risacher, Shannon L.; Rissman, Robert A.; Rodriguez Espinoza, Patricia; Sano, Mary; Saykin, Andrew J.; Serrano, Geidy E.; Sultzer, David L.; Whitmer, Rachel A.; Wisniewski, Thomas; Woltjer, Randall; Zhu, Carolyn W.; Neurology, School of Medicine
    Background: Adverse social exposome (indexed by high national Area Deprivation Index [ADI]) is linked to structural inequities and increased risk of clinical dementia diagnosis, yet linkage to ADRD neuropathology remains largely unknown. Early work from single site brain banks suggests a relationship, but assessment in large national cohorts is needed to increase generalizability and depth, particularly for rarer neuropathology findings. Objective: Determine the association between adverse social exposome by ADI and ADRD neuropathology for brain donors from 21 Alzheimer’s Disease Research Center (ADRC) brain banks as part of the on‐going Neighborhoods Study. Methods: All brain donors in participating sites with neuropathology data deposited at the National Alzheimer’s Coordinating Center (NACC) and identifiers for ADI linkage (N = 8,637; Figure 1) were included. Geocoded donor addresses were linked to time‐concordant national ADI percentiles for year of death, categorized into standard groupings of low (ADI 1‐19), medium (20‐49) and high (50‐100) ADI. Neuropathological findings were drawn from NACC and reflected standard assessment practices at time of donation. Logistic regression models, adjusted for sex and age at death, assessed relationships between high ADI and neuropathology findings. Results: Of the N = 8,637 brain donors (Table 1), 2,071 of 2,366 assessed (88%) had AD pathology by NIA‐AA criteria; 4,197 of 6,929 assessed (61%) had cerebral amyloid angiopathy; 2582 of 8092 assessed (32%) had Lewy body pathology; 391 of 2351 assessed (17%) had non‐AD tauopathy; and 586 of 1680 assessed (35%) had TDP‐43 pathology. 2,126(25%) were high ADI; 3,171(37%) medium ADI and 3,340(38%) low ADI with 51% female and average age at death of 81.9 years. As compared to low ADI donors, high ADI brain donors had adjusted odds = 1.35 (95% CI = 0.98‐1.86, p‐value = 0.06) for AD pathology; 1.10 (0.98–1.25, p = 0.11) for cerebral amyloid angiopathy; 1.37 (1.21–1.55, p<0.01) for Lewy body; 1.09 (0.83–1.44, p = 0.53) for non‐AD tauopathy; and 1.40 (1.08‐1.81, p = 0.01) for TDP‐43 pathology (Table 2). Conclusions: This first‐in‐field study provides evidence that the adverse social exposome (high ADI) is strongly associated with an increased risk of Lewy body, an increased risk of TDP‐43, and a trend towards increased AD pathology in a national cohort of brain donors.
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    Incidence and risk factors of posttraumatic seizures following traumatic brain injury: A Traumatic Brain Injury Model Systems Study
    (Wiley, 2016-12) Ritter, Anne C.; Wagner, Amy K.; Fabio, Anthony; Pugh, Mary Jo; Walker, William C.; Szaflarski, Jerzy P.; Zafonte, Ross D.; Brown, Allen W.; Hammond, Flora M.; Bushnik, Tamara; Johnson-Green, Douglas; Shea, Timothy; Krellman, Jason W.; Rosenthal, Joseph A.; Dreer, Laura E.; Department of Physical Medicine and Rehabilitation, School of Medicine
    Objective Determine incidence of posttraumatic seizure (PTS) following traumatic brain injury (TBI) among individuals with moderate-to-severe TBI requiring rehabilitation and surviving at least 5 years. Methods Using the prospective TBI Model Systems National Database, we calculated PTS incidence during acute hospitalization, and at years 1, 2, and 5 postinjury in a continuously followed cohort enrolled from 1989 to 2000 (n = 795). Incidence rates were stratified by risk factors, and adjusted relative risk (RR) was calculated. Late PTS associations with immediate (<24 h), early (24 h–7 day), or late seizures (>7 day) versus no seizure prior to discharge from acute hospitalization was also examined. Results PTS incidence during acute hospitalization was highest immediately (<24 h) post-TBI (8.9%). New onset PTS incidence was greatest between discharge from inpatient rehabilitation and year 1 (9.2%). Late PTS cumulative incidence from injury to year 1 was 11.9%, and reached 20.5% by year 5. Immediate/early PTS RR (2.04) was increased for those undergoing surgical evacuation procedures. Late PTS RR was significantly greater for individuals who self-identified as a race other than black/white (year 1 RR = 2.22), and for black individuals (year 5 RR = 3.02) versus white individuals. Late PTS was greater for individuals with subarachnoid hemorrhage (year 1 RR = 2.06) and individuals age 23–32 (year 5 RR = 2.43) and 33–44 (year 5 RR = 3.02). Late PTS RR years 1 and 5 was significantly higher for those undergoing surgical evacuation procedures (RR: 3.05 and 2.72, respectively). Significance In this prospective, longitudinal, observational study, PTS incidence was similar to that in studies published previously. Individuals with immediate/late seizures during acute hospitalization have increased late PTS risk. Race, intracranial pathologies, and neurosurgical procedures also influenced PTS RR. Further studies are needed to examine the impact of seizure prophylaxis in high-risk subgroups and to delineate contributors to race/age associations on long-term seizure outcomes.
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    Over‐Representation of Extremely Wealthy Neighborhood Social Exposomes for Brain Donors within Alzheimer’s Disease Research Center Brain Banks assessed by the Neighborhoods Study
    (Wiley, 2025-01-09) Kind, Amy J. H.; Bendlin, Barbara B.; Powell, W. Ryan; DeWitt, Amanda; Cheng, Yixuan; Chamberlain, Luke; Sharrow, Jessica; Lyons Boone, Brittney; Abner, Erin L.; Alosco, Michael L.; Apostolova, Liana G.; Bakulski, Kelly M.; Barnes, Lisa L.; Bateman, James R.; Beach, Thomas G.; Bennett, David A.; Brewer, James B.; Carrion, Carmen; Chodosh, Joshua; Craft, Suzanne; Croff, Raina; Fabio, Anthony; Tomaszewski Farias, Sarah; Goldstein, Felicia; Henderson, Victor W.; Karikari, Thomas K.; Kofler, Julia; Kucharska-Newton, Anna M.; Lamar, Melissa; Lanata, Serggio; Lepping, Rebecca J.; Lingler, Jennifer H.; Lockhart, Samuel N.; Mahnken, Jonathan D.; Marsh, Karyn; Meyer, Oanh L.; Miller, Bruce L.; Morris, Jill K.; Neugroschl, Judith A.; O'Connor, Maureen K.; Paulson, Henry L.; Perrin, Richard J.; Pettigrew, Corinne; Pierce, Aimee; Raji, Cyrus A.; Reiman, Eric M.; Risacher, Shannon L.; Rissman, Robert A.; Rodriguez Espinoza, Patricia; Sano, Mary; Saykin, Andrew J.; Serrano, Geidy E.; Soldan, Anja; Sultzer, David L.; Whitmer, Rachel A.; Wisniewski, Thomas; Woltjer, Randall; Zhu, Carolyn W.; Radiology and Imaging Sciences, School of Medicine
    Background: Adverse social exposome (indexed by national Area Deprivation Index [ADI] 80‐100 or ‘high ADI’) is linked to structural inequities and increased risk of Alzheimer’s disease neuropathology. Twenty percent of the US population resides within high ADI areas, predominantly in inner cities, tribal reservations and rural areas. The percentage of brain donors from high ADI areas within the Alzheimer’s Disease Research Center (ADRC) brain bank system is unknown. Objective: Determine ADI for brain donors from 21 ADRC sites as part of the on‐going Neighborhoods Study. Methods: All brain donors in participating ADRC sites with NACC neuropathology data and personal identifiers for ADI linkage (N = 8,637) were included (Figure 1). Geocoded donor addresses were linked to time‐concordant ADI percentiles for year of death. Results: Overall, only 5.6% of ADRC brain donors (N = 488) resided in a high ADI (disadvantaged) neighborhood at death. The remaining donors resided in more advantaged neighborhoods, with nearly 40% of donors living in the wealthiest quintile of neighborhoods, and over 300 brain donors originating from the wealthiest 1% of US neighborhoods (Figure 2). Donors from high ADI (disadvantaged) neighborhoods identified as 87% White (n = 424), 11% Black (55), 1% Multiracial (6) and <1% other/unknown race (3), with 1% Hispanic (5). None identified as American Indian/Alaska Native or Native Hawaiian/Pacific Islander/Asian. In comparison, donors from low ADI neighborhoods were 94% White (n = 7680), 3% Black (273), 1% Multiracial (75), <1% American Indian/Alaska Native (11), <1% Native Hawaiian/Pacific Islander/Asian (60), and <1% other/unknown race (50), with 3% Hispanic (230). Sex distribution was similar (54%, 51% female, respectively). Inclusion of high ADI donors varied dramatically across the 21 ADRC brain banks from a low of 0.6% to high of 20% of all a site’s donors (Figure 3). Conclusions: ADI was determined for over 8,600 brain donors in the ADRC system, demonstrating a marked over‐representation of donors from very low ADI (extremely wealthy) neighborhoods, in addition to site‐to‐site variability. This is the first time a comprehensive cross‐sectional social exposome assessment of this nature has been performed, opening windows for additional mechanistic study of the social exposome on brain pathology. Life course ADI assessments are on‐going.
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    Prognostic models for predicting posttraumatic seizures during acute hospitalization, and at 1 and 2 years following traumatic brain injury
    (Wiley, 2016-09) Ritter, Anne C.; Wagner, Amy K.; Szaflarski, Jerzy P.; Brooks, Maria M.; Zafonte, Ross D.; Pugh, Mary Jo; Fabio, Anthony; Hammond, Flora M.; Dreer, Laura E.; Bushnik, Tamara; Walker, William C.; Brown, Allen W.; Johnson-Greene, Doug; Shea, Timothy; Krellman, Jason W.; Rosenthal, Joseph A.; Department of Physical Medicine and Rehabilitation, IU School of Medicine
    Objective Posttraumatic seizures (PTS) are well-recognized acute and chronic complications of traumatic brain injury (TBI). Risk factors have been identified, but considerable variability in who develops PTS remains. Existing PTS prognostic models are not widely adopted for clinical use and do not reflect current trends in injury, diagnosis, or care. We aimed to develop and internally validate preliminary prognostic regression models to predict PTS during acute care hospitalization, and at year 1 and year 2 postinjury. Methods Prognostic models predicting PTS during acute care hospitalization and year 1 and year 2 post-injury were developed using a recent (2011–2014) cohort from the TBI Model Systems National Database. Potential PTS predictors were selected based on previous literature and biologic plausibility. Bivariable logistic regression identified variables with a p-value < 0.20 that were used to fit initial prognostic models. Multivariable logistic regression modeling with backward-stepwise elimination was used to determine reduced prognostic models and to internally validate using 1,000 bootstrap samples. Fit statistics were calculated, correcting for overfitting (optimism). Results The prognostic models identified sex, craniotomy, contusion load, and pre-injury limitation in learning/remembering/concentrating as significant PTS predictors during acute hospitalization. Significant predictors of PTS at year 1 were subdural hematoma (SDH), contusion load, craniotomy, craniectomy, seizure during acute hospitalization, duration of posttraumatic amnesia, preinjury mental health treatment/psychiatric hospitalization, and preinjury incarceration. Year 2 significant predictors were similar to those of year 1: SDH, intraparenchymal fragment, craniotomy, craniectomy, seizure during acute hospitalization, and preinjury incarceration. Corrected concordance (C) statistics were 0.599, 0.747, and 0.716 for acute hospitalization, year 1, and year 2 models, respectively. Significance The prognostic model for PTS during acute hospitalization did not discriminate well. Year 1 and year 2 models showed fair to good predictive validity for PTS. Cranial surgery, although medically necessary, requires ongoing research regarding potential benefits of increased monitoring for signs of epileptogenesis, PTS prophylaxis, and/or rehabilitation/social support. Future studies should externally validate models and determine clinical utility.
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    Statistical Guidelines for Handling Missing Data in Traumatic Brain Injury Clinical Research
    (Mary Ann Liebert, 2021) Nielson, Jessica L.; Cooper, Shelly R.; Seabury, Seth A.; Luciani, Davide; Fabio, Anthony; Temkin, Nancy R.; Ferguson, Adam R.; TRACK-TBI Investigators; Psychiatry, School of Medicine
    Missing data is a persistent and unavoidable problem in even the most carefully designed traumatic brain injury (TBI) clinical research. Missing data patterns may result from participant dropout, non-compliance, technical issues, or even death. This review describes the types of missing data that are common in TBI research, and assesses the strengths and weaknesses of the statistical approaches used to draw conclusions and make clinical decisions from these data. We review recent innovations in missing values analysis (MVA), a relatively new branch of statistics, as applied to clinical TBI data. Our discussion focuses on studies from the International Traumatic Brain Injury Research (InTBIR) initiative project: Transforming Research and Clinical Knowledge in TBI (TRACK-TBI), Collaborative Research on Acute TBI in Intensive Care Medicine in Europe (CREACTIVE), and Approaches and Decisions in Acute Pediatric TBI Trial (ADAPT). In addition, using data from the TRACK-TBI pilot study (n = 586) and the completed clinical trial assessing valproate (VPA) for the treatment of post-traumatic epilepsy (n = 379) we present real-world examples of typical missing data patterns and the application of statistical techniques to mitigate the impact of missing data in order to draw sound conclusions from ongoing clinical studies.