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Adeoye, Opeolu M

0000-0001-8666-5369

Mayo Clinic

Washington University in St. Louis

Citations 7

Abstract TMP10: A Retrospective Comparison of Medical Eligibility for Acute Ischemic Stroke Clinical Trials Compared with Hospital Enrollment Rates: Greater Cincinnati/Northern Kentucky Population
Kleindorfer, Dawn , Moomaw, Charles J. , Alwell, Kathleen , Flaherty, Matthew L. , Brott, Thomas G. , Spilker, Judith, Schmit, Pamela, Woo, Daniel , Rosa, Felipe De Los Rios La , Martini, Sharyl , Ferioli, Simona , Khoury, Jane , Saver, Jeffrey L. , Khatri, Pooja , Adeoye, Opeolu M , Broderick, Joseph P. , Spilker, Judith, Mackey, Jason S. , Kissela, Brett

Stroke | July 3, 2021 | Volume: 47 | Issue: suppl_1 | Pages: No page available

10.1161/str.47.suppl_1.tmp10 Get It

Introduction: Low rates of enrollment into stroke clinical trials are an ongoing challenge for the stroke research community. We sought to retrospectively describe the association between medical eligibility and recruitment rates for two acute clinical trials. Methods: Within a population of 1.3 million, we screened local hospital admissions in 2010 using ICD-9 discharge codes 430-436, and performed chart review. Within the region are 15 adult acute care hospitals, all of which are covered by the same stroke team for clinical care and trial enrollment. Medical eligibility, the number of eligible patients/total number of patients, was calculated for the IMS-III trial and the CLEAR-ER trials using their inclusion/exclusion criteria. The number of patients enrolled in the trial per month of open enrollment was determined for each hospital. Statistical analysis included paired signed rank test and regression. Results: In 2010, 2035 ischemic strokes (IS) were hospitalized in the region. Regional medical eligibility was 1.7% for IMS III and 4.5% for CLEARER (p=0.001), overall regional hospital enrollment/month was 0.81 for IMS III and 1.84 for CLEAR-ER (p=0.001). Eligibility rates per hospital ranged from 0-9.5%, and recruitment rates per hospital/mo ranged from 0-0.38. Hospital-level eligibility and recruitment rates were significantly correlated (see figure for both trials combined, adjusted r2 = 0.57, p<0.001.) Discussion: Within our population, medical eligibility explained 57% of the variability in hospital-level enrollment rates for two acute IS trials. The use of population-based epidemiology in trial planning may identify optimal trial enrollment criteria, which must be weighed against proper patient selection. Many other factors impact enrollment rates, such as competing trials, which were not considered here. Further evaluation of our population-based eligibility rates in sites outside our region and with additional clinical trials is needed.
High-Sensitivity C-Reactive Protein is a Prognostic Biomarker of Six-Month Disability after Traumatic Brain Injury: Results from the TRACK-TBI Study
Xu, Linda , Yue, John K. , Korley, Frederick K. , Puccio, Ava M. , Yuh, Esther L. , Sun, Xiaoying, Rabinowitz, Miri, Vassar, Mary J. , Taylor, Sabrina R. , Winkler, Ethan A. , Puffer, Ross C. , Deng, Hansen , McCrea, Michael , Robertson, Claudia S. , Levin, Harvey S. , Dikmen, Sureyya, Okonkwo, David O. , Jain, Sonia , Manley, Geoffrey T. , Investigators, The TRACK-TBI, Boase, Kim, Bodien, Yelena, Bullock, M. Ross, Crawford, Karen, Duhaime, Ann-Christine, Ellenbogen, Richard, Feeser, V. Ramana, Ferguson, Adam R., Gaudette, Etienne, González, Luis, Gopinath, Shankar, Gullapalli, Rao, Hemphill, J. Claude, Hotz, Gillian , Kramer, Joel H. , Kreitzer, Natalie, Lindsell, Chris, Machamer, Joan , Madden, Christopher , McAllister, Thomas W. , Merchant, Randall, Noël, Florence, Palacios, Eva , Perl, Daniel, Rosand, Jonathan, Satris, Gabriella, Seabury, Seth, Toga, Arthur W. , Adeoye, Alex VaOpeolu, Bodien, Yelena, Bullock, M. Ross, Crawford, Karen, Ferguson, Adam R., Gaudette, Etienne, Gullapalli, Rao, Hemphill, J. Claude, Kreitzer, Natalie, Lindsell, Chris, Merchant, Randall, Perl, Daniel, Rosand, Jonathan, Seabury, Seth, Valadka, Alex B. , Vespa, Paul , Zafonte, Ross , Hemphill, J. Claude , Ferguson, Adam R. , Kreitzer, Natalie , Stein, Murray B. , Temkin, Nancy R. , Giacino, Joseph T. , Mukherjee, Pratik , Wang, Kevin , Markowitz, Amy J. , Diaz‐Arrastia, Ramon , Investigators, The TRACK-TBI, Adeoye, Opeolu M , Badjatia, Neeraj , Bodien, Yelena, Bullock, M. Ross, Chesnut, Randall Matthew , Corrigan, John D. , Crawford, Karen, Ferguson, Adam R., Foreman, Brandon , Gardner, Raquel C. , Gaudette, Etienne, Goldman, Dana P. , Gopinath, Shankar P. , Gullapalli, Rao, Hemphill, J. Claude, Kreitzer, Natalie, Lindsell, Chris, Martin, Alastair J. , Merchant, Randall, Nelson, Lindsay D. , Ngwenya, Laura Benjamin , Perl, Daniel, Rosand, Jonathan, Sander, Angelle M. , Schnyer, David M. , Seabury, Seth, Bodien, Yelena, Bullock, M. Ross, Crawford, Karen, Ferguson, Adam R., Gaudette, Etienne, Gullapalli, Rao, Hemphill, J. Claude, Kreitzer, Natalie, Lindsell, Chris, Merchant, Randall, Perl, Daniel, Rosand, Jonathan, Seabury, Seth

Journal of Neurotrauma | November 9, 2020 | Volume: 38 | Issue: 7 | Pages: 918-927

10.1089/neu.2020.7177 Get It

Point-of-Care Platform Blood Biomarker Testing of Glial Fibrillary Acidic Protein versus S100 Calcium-Binding Protein B for Prediction of Traumatic Brain Injuries: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury Study
Okonkwo, David O. , Puffer, Ross C. , Puccio, Ava M. , Yuh, Esther L. , Yue, John K. , Korley, Frederick K. , Sun, Xiaoying, Taylor, Sabrina R. , Jain, Sonia , Manley, Geoffrey T. , Boase, Kim, Bullock, Ross, Crawford, Karen , Dikmen, Sureyya, Duhaime, Ann-Christine, Ellenbogen, Richard G. , Feeser, V. Ramana, Ferguson, Adam R. , González, Luis, Gopinath, Shankar P. , Gullapalli, Rao P. , Hemphill, Claude, Hotz, Gillian , Kramer, Joel H. , Kreitzer, Natalie , Levin, Harvey S. , Machamer, Joan , Madden, Christopher , McAllister, Thomas W. , McCrea, Michael , Merchant, Randall E., Noël, Florence, Palacios, Eva , Perl, Daniel P. , Rabinowitz, Miri, Robertson, Claudia S. , Satris, Gabriella, Seabury, Seth A., Sherer, Mark , Stein, Murray , Temkin, Nancy, Toga, Arthur W. , Valadka, Alex B. , Vassar, Mary J. , Vespa, Paul , Zafonte, Ross , Diaz‐Arrastia, Ramon , Wang, Kevin , Mukherjee, Pratik , Markowitz, Amy J. , Adeoye, Opeolu M , Badjatia, Neeraj , Bodien, Yelena G. , Chesnut, Randall Matthew , Corrigan, John D. , Foreman, Brandon , Gardner, Raquel C. , Gaudette, Étienne , Giacino, Joseph T. , Goldman, Dana P. , Lindsell, Christopher J. , Martin, Alastair J. , Nelson, Lindsay D. , Ngwenya, Laura Benjamin , Rosand, Jonathan M. , Sander, Angelle M. , Schnyer, David M. , Stein, Murray B.

Journal of Neurotrauma | August 28, 2020 | Volume: 37 | Issue: 23 | Pages: 2460-2467

10.1089/neu.2020.7140 Get It

Glial fibrillary acidic protein (GFAP) is cleared by the Food and Drug Administration (FDA) to determine need for head computed tomography (CT) within 12 h after mild traumatic brain injury (TBI) (Glasgow Coma Score [GCS] 13–15); S100 calcium-binding protein B (S100B) serves this function in Europe. This phase 1 biomarker cohort analysis of the multi-center, observational Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study compares GFAP's diagnostic performance, measured on a rapid point-of-care platform, against protein S100B to predict intracranial abnormalities on CT within 24 h post-injury across the spectrum of TBI (GCS 3–15). Head CT scan performed in TBI subjects and blood was collected for all consenting subjects presenting to 18 United States level 1 trauma centers. Plasma was analyzed on a point-of-care device prototype assay for GFAP and serum was analyzed for S100B. In 1359 patients with TBI (GCS 3–15), mean (standard deviation [SD]) age = 40.1 (17.0) years; 68% were male. Plasma GFAP levels were significantly higher in CT+ TBI subjects (median = 1358 pg/mL, interquartile range [IQR]: 472–3803) than in CT- TBI subjects (median = 116 pg/mL, IQR: 26–397) or orthopedic trauma controls ( n = 122; median = 13 pg/mL, IQR: 7–20), p < 0.001. Serum S100B levels were likewise higher in CT+ TBI subjects (median = 0.17 μg/L, IQR: 0.09–0.38) than in CT- TBI subjects (median = 0.10 μg/L, IQR: 0.06–0.18), p < 0.001. Receiver operating characteristic curves were generated for prediction of intracranial injury on admission CT scan; area under the curve (AUC) for GFAP was significantly higher than for S100B in the same cohort (GFAP AUC – 0.85, 95% confidence interval [CI] 0.83–0.87; S100B AUC – 0.67, 95% CI 0.64-0.70; p < 0.001). GFAP, measured on a point-of-care platform prototype assay, has high discriminative ability to predict intracranial abnormalities on CT scan in patients with TBI across the full injury spectrum of GCS 3–15 through 24 h post-injury. GFAP substantially outperforms S100B.
American Telemedicine Association: Telestroke Guidelines
Berg, J.S.P. van den, Chong, Brian W. , Gross, Hartmut, Nyström, Karin , Wechsler, Lawrence R. , Whitchurch, Sallie, Demaerschalk, Bart M. , Adeoye, Opeolu M , Schwamm, Lee H.

Telemedicine and e-Health | April 6, 2017 | Volume: 23 | Issue: 5 | Pages: 376-389

10.1089/tmj.2017.0006 Get It

Accuracy of the ABC/2 Score for Intracerebral Hemorrhage
Webb, Alastair J.S. , Ullman, Natalie , Morgan, Tim C., Muschelli, John , Kornbluth, Joshua , Awad, Issam A. , Rosenblum, Michael , Ziai, Wendy , Zuccarrello, Mario, Aldrich, François, John, Sayona , Harnof, Sagi , Lopez, George Α. , Broaddus, William C. , Wijman, Christine A.C., Vespa, Paul , Bullock, Ross, Haines, Stephen J. , Cruz‐Flores, Salvador , Tuhrim, Stan, Hill, Michael D. , Narayan, Raj K. , Hanley, Daniel F. , Tayal, Ashis , Díaz, Alberto Torres, Hoffer, Alan , Moheet, Asma , Agarwal, Sachin , Markowski, Mason, Rosenthal, Guy , Kureshi, Inam, Varelas, Panayiotis N. , Pinto, Pedro Telles Cougo, Camarata, Paul J. , Helms, Ann , Shahi, Kavian, Sinclair, David, Gizzi, Martin , LeDoux, David, Torbey, Michel , Cockroft, Kevin M. , Antezana, David, Margalit, Nevo, Crabtree, H. Mark, Lovick, Darren, Weaver, Michael, Leonardo, Jody, Ardelt, Agnieszka, Csiba, László , Wartenberg, Katja E. , Bösel, Julian , Adams, Harold P. , Hobohm, Carsten , Kerz, Thomas , Wechsler, Lawrence R. , Gardner, Paul A. , Decker, David A., Gonzales, Nicole R. , Caron, Jean-Louis, Hall, Christiana E., Ansari, Safdar , Luft, Andreas R. , Graham, R. Scott, Tucker, Kristi, Webb, Alastair Js , Mayo, Stephen L. , Martí‐Fábregas, Joan , Seder, David B. , Freeman, William D. , Lazaridis, Christos , LeDoux, David, Latorre, Julius Gene , Venkatasubramanian, Chitra , Jallo, Jack , Reinert, Michael , Butcher, Kenneth , Adeoye, Opeolu M , Testai, Fernando D. , Bulters, Diederik , Caron, Jean-Louis R., Arikán, Fuat , Hill, Michael D , Hanley, Daniel F , Lopez, George

Stroke | August 5, 2015 | Volume: 46 | Issue: 9 | Pages: 2470-2476

10.1161/strokeaha.114.007343 Get It

Background and Purpose— The ABC/2 score estimates intracerebral hemorrhage (ICH) volume, yet validations have been limited by small samples and inappropriate outcome measures. We determined accuracy of the ABC/2 score calculated at a specialized reading center (RC-ABC) or local site (site-ABC) versus the reference-standard computed tomography–based planimetry (CTP). Methods— In Minimally Invasive Surgery Plus Recombinant Tissue-Type Plasminogen Activator for Intracerebral Hemorrhage Evacuation-II (MISTIE-II), Clot Lysis Evaluation of Accelerated Resolution of Intraventricular Hemorrhage (CLEAR-IVH) and CLEAR-III trials. ICH volume was prospectively calculated by CTP, RC-ABC, and site-ABC. Agreement between CTP and ABC/2 was defined as an absolute difference up to 5 mL and relative difference within 20%. Determinants of ABC/2 accuracy were assessed by logistic regression. Results— In 4369 scans from 507 patients, CTP was more strongly correlated with RC-ABC ( r 2 =0.93) than with site-ABC ( r 2 =0.87). Although RC-ABC overestimated CTP-based volume on average (RC-ABC, 15.2 cm 3 ; CTP, 12.7 cm3), agreement was reasonable when categorized into mild, moderate, and severe ICH (κ=0.75; P <0.001). This was consistent with overestimation of ICH volume in 6 of 8 previous studies. Agreement with CTP was greater for RC-ABC (84% within 5 mL; 48% of scans within 20%) than for site-ABC (81% within 5 mL; 41% within 20%). RC-ABC had moderate accuracy for detecting ≥5 mL change in CTP volume between consecutive scans (sensitivity, 0.76; specificity, 0.86) and was more accurate with smaller ICH, thalamic hemorrhage, and homogeneous clots. Conclusions— ABC/2 scores at local or central sites are sufficiently accurate to categorize ICH volume and assess eligibility for the CLEAR-III and MISTIE III studies and moderately accurate for change in ICH volume. However, accuracy decreases with large, irregular, or lobar clots. Clinical Trial Registration— URL: http://www.clinicaltrials.gov . Unique identifier: MISTIE-II NCT00224770; CLEAR-III NCT00784134.
Lack of Evidence for an Association Between Hemodynamic Variables and Hematoma Growth in Spontaneous Intracerebral Hemorrhage
Jauch, Edward C. , Lindsell, Christopher J. , Barsan, William G. , Pancioli, Arthur , Brott, Thomas G. , Adeoye, Opeolu M , Khoury, Jane , Broderick, Joseph P.

Stroke | June 23, 2006 | Volume: 37 | Issue: 8 | Pages: 2061-2065

10.1161/01.str.0000229878.93759.a2 Get It

Background and Purpose— Early hematoma expansion in spontaneous intracerebral hemorrhage (ICH) is associated with worse clinical outcome. We hypothesized that hemodynamic parameters are associated with the increase in hematoma volume owing to their relationship to blood vessel wall stresses. Methods— We performed a post hoc analysis of clinical and computed tomography (CT) data from patients enrolled in a prospective observational study of ICH patients presenting within 3 hours from symptom onset. Hematoma volumes were measured at hospital arrival and at 1 and 20 hours from presentation. Blood pressure and heart rate, recorded at 19 time points between presentation and 20 hours, were used to derive hemodynamic variables. Multivariable logistic-regression models were constructed to assess the relation between hemodynamic parameters and hematoma growth, adjusted for clinical covariates. Results— From the original study, 98 patients underwent baseline and 1-hour CT scans; of these, 65 had 20-hour CT scans. Substantial hematoma growth was observed in 28% within the first hour. Of the 65 patients not undergoing surgery within 20 hours, 37% experienced hematoma growth by 20 hours. Neither baseline or peak hemodynamic parameters nor changes in hemodynamic parameters were significantly associated with hematoma growth at either 1 or 20 hours. Conclusions— We found no blood pressure or heart rate parameters, individually or in combination, that were associated with hematoma growth. Our data suggest the influence of hemodynamic parameters on vessel wall stress to be an unlikely target for intervention in reducing the risk of early hematoma growth in ICH.