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Barkley A, Butler E, Park C, Friedman A, Landi D, Ashley DM, Bigner D, Bernstock JD, Friedman GK, Johnston JM, Thompson EM. The safety and accuracy of intratumoral catheter placement to infuse viral immunotherapies in children with malignant brain tumors: a multi-institutional study. J Neurosurg Pediatr 2024; 33:359-366. [PMID: 38215438 PMCID: PMC10810678 DOI: 10.3171/2023.12.peds23404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 12/06/2023] [Indexed: 01/14/2024]
Abstract
OBJECTIVE Relatively little is known about the safety and accuracy of catheter placement for oncolytic viral therapy in children with malignant brain tumors. Accordingly, this study combines data from two phase I clinical trials that employed viral immunotherapy across two institutions to describe the adverse event profile, safety, and accuracy associated with the stereotactic placement and subsequent removal of intratumoral catheters. METHODS Children with progressive/recurrent supratentorial malignant tumors were enrolled in two clinical trials (NCT03043391 and NCT02457845) and treated with either the recombinant polio:rhinovirus (lerapolturev) or the genetically modified oncolytic herpesvirus (G207). Age, sex, race, tumor diagnosis, and tumor location were analyzed. Events related to the catheter placement or removal were categorized. A catheter that was either pulled back or could not be used was defined as "misplaced." Neuronavigation software was used to analyze the accuracy of catheter placement for NCT03043391. Descriptive statistics were performed. RESULTS Nineteen patients were treated across the two completed trials with a total of 49 catheters. The mean ± SD (range) age was 14.1 ± 3.6 (7-19) years. All tumors were grade 3 or 4 gliomas. Nonlobar catheter tip placement included the corpus callosum, thalamus, insula, and cingulate gyrus. Six of 19 patients (31.6%) had minor hemorrhage noted on CT; however, no patients were symptomatic and/or required intervention related to these findings. One of 19 patients had a delayed CSF leak after catheter removal that required oversewing of the surgical site. No patients developed infection or a neurological deficit. In 7 patients with accuracy data, the mean ± SD distance of the planned trajectory (PT) to the catheter tip was 1.57 ± 1.6 mm, the mean angle of the PT to the catheter was 2.43° ± 2.1°, and the greatest distance of PT to the catheter in the parallel plane was 1.54 ± 1.5 mm. Three of 49 (6.1%) catheters were considered misplaced. CONCLUSIONS Although instances of minor hemorrhage were encountered, they were clinically asymptomatic. One of 49 catheters required intervention for a CSF leak. Congruent with previous studies in the literature, the stereotactic placement of catheters in these pediatric tumor patients was accurate with approximately 95% of catheters having been adequately placed.
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Affiliation(s)
- Ariana Barkley
- Department of Neurosurgery, University of New Mexico, Albuquerque, New Mexico
- Departments of Neurosurgery and
| | | | - Christine Park
- School of Medicine, Duke University, Durham, North Carolina
| | | | - Daniel Landi
- Pediatrics, Duke University, Durham, North Carolina
| | | | | | - Joshua D. Bernstock
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Gregory K. Friedman
- Pediatrics, University of Alabama at Birmingham, Alabama
- Division of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, Texas; and
| | | | - Eric M. Thompson
- Departments of Neurosurgery and
- Department of Neurosurgery, University of Chicago, Illinois
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Chan AK, Park C, Shaffrey CI, Gottfried ON, Than KD, Bisson EF, Bydon M, Asher AL, Coric D, Potts EA, Foley KT, Wang MY, Fu KM, Virk MS, Knightly JJ, Meyer S, Park P, Upadhyaya CD, Shaffrey ME, Buchholz AL, Tumialán LM, Turner JD, Michalopoulos G, Sherrod BA, Agarwal N, Chou D, Haid RW, Mummaneni PV. What predicts the best 24-month outcomes following surgery for cervical spondylotic myelopathy? A QOD prospective registry study. J Neurosurg Spine 2024; 40:453-464. [PMID: 38181405 DOI: 10.3171/2023.11.spine23222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 11/09/2023] [Indexed: 01/07/2024]
Abstract
OBJECTIVE The aim of this study was to identify predictors of the best 24-month improvements in patients undergoing surgery for cervical spondylotic myelopathy (CSM). For this purpose, the authors leveraged a large prospective cohort of surgically treated patients with CSM to identify factors predicting the best outcomes for disability, quality of life, and functional status following surgery. METHODS This was a retrospective analysis of prospectively collected data. The Quality Outcomes Database (QOD) CSM dataset (1141 patients) at 14 top enrolling sites was used. Baseline and surgical characteristics were compared for those reporting the top and bottom 20th percentile 24-month Neck Disability Index (NDI), EuroQol-5D (EQ-5D), and modified Japanese Orthopaedic Association (mJOA) change scores. A multivariable logistic model was constructed and included candidate variables reaching p ≤ 0.20 on univariate analyses. Least important variables were removed in a stepwise manner to determine the significant predictors of the best outcomes (top 20th percentile) for 24-month NDI, EQ-5D, and mJOA change. RESULTS A total of 948 (83.1%) patients with 24-month follow-up were included in this study. For NDI, 204 (17.9%) had the best NDI outcome and 200 (17.5%) had the worst NDI outcome. Factors predicting the best NDI outcomes included symptom duration less than 12 months (OR 1.5, 95% CI 1.1-1.9; p = 0.01); procedure other than posterior fusion (OR 1.5, 95% CI 1.03-2.1; p = 0.03); higher preoperative visual analog scale neck pain score (OR 1.2, 95% CI 1.1-1.3; p < 0.001); and higher baseline NDI (OR 1.06, 95% CI 1.05-1.07; p < 0.001). For EQ-5D, 163 (14.3%) had the best EQ-5D outcome and 169 (14.8%) had the worst EQ-5D outcome. Factors predicting the best EQ-5D outcomes included arm pain-only complaints (compared to neck pain) (OR 1.9, 95% CI 1.3-2.9; p = 0.002) and lower baseline EQ-5D (OR 167.7 per unit lower, 95% CI 85.0-339.4; p < 0.001). For mJOA, 222 (19.5%) had the best mJOA outcome and 238 (20.9%) had the worst mJOA outcome. Factors predicting the best mJOA outcomes included lower BMI (OR 1.03 per unit lower, 95% CI 1.004-1.05; p = 0.02; cutoff value of ≤ 29.5 kg/m2); arm pain-only complaints (compared to neck pain) (OR 1.7, 95% CI 1.1-2.5; p = 0.02); and lower baseline mJOA (OR 1.6 per unit lower, 95% CI 1.5-1.7; p < 0.001). CONCLUSIONS Compared to the worst outcomes for EQ-5D, the best outcomes were associated with patients with arm pain-only complaints. For mJOA, lower BMI and arm pain-only complaints portended the best outcomes. For NDI, those with the best outcomes had shorter symptom durations, higher preoperative neck pain scores, and less often underwent posterior spinal fusions. Given the positive impact of shorter symptom duration on outcomes, these data suggest that early surgery may be beneficial for patients with CSM.
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Affiliation(s)
- Andrew K Chan
- 1Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons, New York; The Och Spine Hospital at NewYork-Presbyterian, New York, New York
| | - Christine Park
- 2Department of Neurosurgery, Duke University, Durham, North Carolina
| | | | - Oren N Gottfried
- 2Department of Neurosurgery, Duke University, Durham, North Carolina
| | - Khoi D Than
- 2Department of Neurosurgery, Duke University, Durham, North Carolina
| | - Erica F Bisson
- 3Department of Neurological Surgery, University of Utah, Salt Lake City, Utah
| | - Mohamad Bydon
- 4Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Anthony L Asher
- 5Neuroscience Institute, Carolinas Healthcare System and Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina
| | - Domagoj Coric
- 5Neuroscience Institute, Carolinas Healthcare System and Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina
| | - Eric A Potts
- 6Goodman Campbell Brain and Spine, Indianapolis, Indiana
| | - Kevin T Foley
- 7Department of Neurosurgery, University of Tennessee; Semmes-Murphey Neurologic and Spine Institute, Memphis, Tennessee
| | - Michael Y Wang
- 8Department of Neurological Surgery, University of Miami, Florida
| | - Kai-Ming Fu
- 9Department of Neurosurgery, Weill Cornell Medical Center, New York, New York
| | - Michael S Virk
- 9Department of Neurosurgery, Weill Cornell Medical Center, New York, New York
| | - John J Knightly
- 10Atlantic Neurosurgical Specialists, Morristown, New Jersey
| | - Scott Meyer
- 10Atlantic Neurosurgical Specialists, Morristown, New Jersey
| | - Paul Park
- 11Department of Neurological Surgery, University of Michigan, Ann Arbor, Michigan
| | - Cheerag D Upadhyaya
- 12Marion Bloch Neuroscience Institute, Saint Luke's Health System, Kansas City, Missouri
| | - Mark E Shaffrey
- 13Department of Neurosurgery, University of Virginia, Charlottesville, Virginia
| | - Avery L Buchholz
- 13Department of Neurosurgery, University of Virginia, Charlottesville, Virginia
| | | | - Jay D Turner
- 14Barrow Neurological Institute, Phoenix, Arizona
| | | | - Brandon A Sherrod
- 3Department of Neurological Surgery, University of Utah, Salt Lake City, Utah
| | - Nitin Agarwal
- 15Department of Neurological Surgery, University of California, San Francisco, California; and
| | - Dean Chou
- 1Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons, New York; The Och Spine Hospital at NewYork-Presbyterian, New York, New York
| | - Regis W Haid
- 16Atlanta Brain and Spine Care, Atlanta, Georgia
| | - Praveen V Mummaneni
- 15Department of Neurological Surgery, University of California, San Francisco, California; and
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Leyendecker J, Prasse T, Park C, Payne C, Rückels P, Bieler E, Eysel P, Bredow J, Telfeian A, Derman P, Kashlan O, Konakondla S, Ogunlade J, Hofstetter CP. Pain alleviation and functional improvement: ultra-early patient-reported outcome measures after full endoscopic spine surgery. J Neurosurg Spine 2024; 40:465-474. [PMID: 38181496 DOI: 10.3171/2023.11.spine231048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 11/08/2023] [Indexed: 01/07/2024]
Abstract
OBJECTIVE Questions regarding anticipated pain improvement and functional recovery postsurgery are frequently posed in preoperative consultations. However, a lack of data characterizing outcomes for the first postoperative days only allows for anecdotal answers. Hence, the assessment of ultra-early patient-reported outcome measures (PROMs) is essential for patient-provider communication and patient satisfaction. The aim of this study was to elucidate this research gap by assessing and characterizing PROMs for the first days after full endoscopic spine surgery (FESS). METHODS This multicenter study included patients undergoing lumbar FESS from March 2021 to July 2023. After informed consent was provided, data were collected prospectively through a smartphone application. Patients underwent either discectomy or decompression. Analyzed parameters included demographics, surgical details, visual analog scale scores for both back and leg pain, and the Oswestry Disability Index (ODI) score. Data were acquired daily for the 1st postoperative week, as well as after 2 weeks, 3 months, and 6 months. RESULTS A total of 182 patients were included, of whom 102 underwent FESS discectomy and 80 underwent FESS decompression. Significant differences between the discectomy and decompression groups were found for age (mean 50.45 ± 15.28 years and 63.85 ± 13.25 years, p < 0.001; respectively), sex (p = 0.007), and surgery duration (73.45 ± 45.23 minutes vs 98.05 ± 46.47 minutes, p < 0.001; respectively). Patients in both groups reported a significant amelioration of leg pain on the 1st postoperative day (discectomy group VAS score: 6.2 ± 2.6 vs 2.4 ± 2.9, p < 0.001; decompression group: 5.3 ± 2.8 vs 1.9 ± 2.2, p < 0.001) and of back pain within the 1st postoperative week (discectomy group VAS score: 5.5 ± 2.8 vs 2.8 ± 2.2, p < 0.001; decompression group: 5.2 ± 2.7 vs 3.1 ± 2.4, p < 0.001). ODI score improvement was most pronounced at the 3-month time point (discectomy group: 21.7 ± 9.1 vs 9.3 ± 9.1, p < 0.001; decompression group: 19.3 ± 7.8 vs 9.9 ± 8.3, p < 0.001). For both groups, pain improvement within the 1st week after surgery was highly predictive of later benefits. CONCLUSIONS Ultra-early PROMs reveal an immediate pain improvement after FESS. While the benefits in pain reduction plateaued within the 1st postoperative week for both groups, functional improvements developed over a more extended period. These results illustrate a biphasic rehabilitation process wherein initial pain alleviation transitions into functional improvement over time.
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Affiliation(s)
- Jannik Leyendecker
- 1Department of Neurological Surgery, University of Washington, Seattle, Washington
- 2Department of Orthopedics and Trauma Surgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Tobias Prasse
- 2Department of Orthopedics and Trauma Surgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Christine Park
- 1Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Cathryn Payne
- 1Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Pia Rückels
- 1Department of Neurological Surgery, University of Washington, Seattle, Washington
- 3Department of Orthopedics and Trauma Surgery, Krankenhaus Porz am Rhein, University of Cologne, Germany
| | - Eliana Bieler
- 1Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Peer Eysel
- 2Department of Orthopedics and Trauma Surgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Jan Bredow
- 2Department of Orthopedics and Trauma Surgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
- 3Department of Orthopedics and Trauma Surgery, Krankenhaus Porz am Rhein, University of Cologne, Germany
| | - Albert Telfeian
- 4Department of Neurosurgery, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | | | - Osama Kashlan
- 6Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan
| | - Sanjay Konakondla
- 7Department of Neurosurgery, Geisinger Neuroscience Institute, Danville, Pennsylvania; and
| | - John Ogunlade
- 8Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri
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Abecassis ZA, Ogunlade JI, Teagle W, Barros G, Park C, Levitt MR, Hofstetter CP. Endoscopic decompression of a C1 osteophyte causing bow hunter's syndrome in a 22-year-old male. Neurosurg Focus Video 2024; 10:V16. [PMID: 38616906 PMCID: PMC11013335 DOI: 10.3171/2024.1.focvid23234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 01/30/2024] [Indexed: 04/16/2024]
Abstract
The patient is a 22-year-old male with a history of C1 avulsion fracture causing vertebral artery compression with pseudoaneurysm and symptomatic stroke. Cerebral angiography demonstrated dynamic compression of the V3 segment of the vertebral artery due to a chronic C1 avulsion fracture. The authors utilized a full endoscopic approach with intraoperative angiography for proximal control and Doppler ultrasound to confirm adequate decompression. The surgery duration was 3 hours with blood loss < 5 ml. The patient was discharged on postoperative day 1 with no complication and has been asymptomatic since surgery. This is the first documented use of endoscopic decompression to treat this condition. The video can be found here: https://stream.cadmore.media/r10.3171/2024.1.FOCVID23234.
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Affiliation(s)
- Zachary A. Abecassis
- Department of Neurological Surgery, University of Washington, Seattle, Washington; and
| | - John I. Ogunlade
- Department of Neurological Surgery, Washington University School of Medicine in St. Louis, Missouri
| | - Whitney Teagle
- Department of Neurological Surgery, University of Washington, Seattle, Washington; and
| | - Guilherme Barros
- Department of Neurological Surgery, University of Washington, Seattle, Washington; and
| | - Christine Park
- Department of Neurological Surgery, University of Washington, Seattle, Washington; and
| | - Michael R. Levitt
- Department of Neurological Surgery, University of Washington, Seattle, Washington; and
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Assaad S, Dov D, Park C, Davis R, Kovalsky SZ, Lee WT, Kahmke RR, Rocke DJ, Cohen J, Weiss-Meilik A, Henao R, Carin L, Elliott Range D. A Preliminary Study Comparing the Performance of Thyroid Molecular Tests to a Deep Learning Algorithm in Predicting Malignancy in Indeterminate Thyroid Fine Needle Aspiration Biopsies. Thyroid 2024; 34:531-535. [PMID: 38010913 PMCID: PMC10998704 DOI: 10.1089/thy.2023.0054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Affiliation(s)
- Serge Assaad
- Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina, USA
- I-Medata AI Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Department of Pathology, Duke University Medical Center, Durham, North Carolina, USA
| | - David Dov
- I-Medata AI Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Department of Pathology, Duke University Medical Center, Durham, North Carolina, USA
| | - Christine Park
- Department of Head and Neck Surgery and Duke University Medical Center, Durham, North Carolina, USA
- Department of Communication Sciences, Duke University Medical Center, Durham, North Carolina, USA
| | - Richard Davis
- Department of Pathology, Duke University Medical Center, Durham, North Carolina, USA
| | - Shahar Z. Kovalsky
- Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Walter T. Lee
- Department of Head and Neck Surgery and Duke University Medical Center, Durham, North Carolina, USA
- Department of Communication Sciences, Duke University Medical Center, Durham, North Carolina, USA
| | - Russel R. Kahmke
- Department of Head and Neck Surgery and Duke University Medical Center, Durham, North Carolina, USA
- Department of Communication Sciences, Duke University Medical Center, Durham, North Carolina, USA
| | - Daniel J. Rocke
- Department of Head and Neck Surgery and Duke University Medical Center, Durham, North Carolina, USA
- Department of Communication Sciences, Duke University Medical Center, Durham, North Carolina, USA
| | - Jonathan Cohen
- Department of Head and Neck Surgery and Duke University Medical Center, Durham, North Carolina, USA
- Department of Communication Sciences, Duke University Medical Center, Durham, North Carolina, USA
| | | | - Ricardo Henao
- Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina, USA
- Office of the Provost, King Abdullah University of Science and Technology, Thuwal, Makkah, Saudi Arabia
| | - Lawrence Carin
- Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina, USA
- Office of the Provost, King Abdullah University of Science and Technology, Thuwal, Makkah, Saudi Arabia
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Park C, Shaffrey CI, Than KD, Bisson EF, Sherrod BA, Asher AL, Coric D, Potts EA, Foley KT, Wang MY, Fu KM, Virk MS, Knightly JJ, Meyer S, Park P, Upadhyaya C, Shaffrey ME, Buchholz AL, Tumialán LM, Turner JD, Agarwal N, Chan AK, Chou D, Chaudhry NS, Haid RW, Mummaneni PV, Michalopoulos GD, Bydon M, Gottfried ON. Does the number of social factors affect long-term patient-reported outcomes and satisfaction in those with cervical myelopathy? A QOD study. J Neurosurg Spine 2024; 40:428-438. [PMID: 38241683 DOI: 10.3171/2023.11.spine23127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 11/16/2023] [Indexed: 01/21/2024]
Abstract
OBJECTIVE It is not clear whether there is an additive effect of social factors in keeping patients with cervical spondylotic myelopathy (CSM) from achieving both a minimum clinically important difference (MCID) in outcomes and satisfaction after surgery. The aim of this study was to explore the effect of multiple social factors on postoperative outcomes and satisfaction. METHODS This was a multiinstitutional, retrospective study of the prospective Quality Outcomes Database (QOD) CSM cohort, which included patients aged 18 years or older who were diagnosed with primary CSM and underwent operative management. Social factors included race (White vs non-White), education (high school or below vs above), employment (employed vs not), and insurance (private vs nonprivate). Patients were considered to have improved from surgery if the following criteria were met: 1) they reported a score of 1 or 2 on the North American Spine Society index, and 2) they met the MCID in patient-reported outcomes (i.e., visual analog scale [VAS] neck and arm pain, Neck Disability Index [NDI], and EuroQol-5D [EQ-5D]). RESULTS Of the 1141 patients included in the study, 205 (18.0%) had 0, 347 (30.4%) had 1, 334 (29.3%) had 2, and 255 (22.3%) had 3 social factors. The 24-month follow-up rate was > 80% for all patient-reported outcomes. After adjusting for all relevant covariates (p < 0.02), patients with 1 or more social factors were less likely to improve from surgery in all measured outcomes including VAS neck pain (OR 0.90, 95% CI 0.83-0.99) and arm pain (OR 0.88, 95% CI 0.80-0.96); NDI (OR 0.90, 95% CI 0.83-0.98); and EQ-5D (OR 0.90, 95% CI 0.83-0.97) (all p < 0.05) compared to those without any social factors. Patients with 2 social factors (outcomes: neck pain OR 0.86, arm pain OR 0.81, NDI OR 0.84, EQ-5D OR 0.81; all p < 0.05) or 3 social factors (outcomes: neck pain OR 0.84, arm pain OR 0.84, NDI OR 0.84, EQ-5D OR 0.84; all p < 0.05) were more likely to fare worse in all outcomes compared to those with only 1 social factor. CONCLUSIONS Compared to those without any social factors, patients who had at least 1 social factor were less likely to achieve MCID and feel satisfied after surgery. The effect of social factors is additive in that patients with a higher number of factors are less likely to improve compared to those with only 1 social factor.
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Affiliation(s)
- Christine Park
- 1Department of Neurosurgery, Duke University, Durham, North Carolina
| | | | - Khoi D Than
- 1Department of Neurosurgery, Duke University, Durham, North Carolina
| | - Erica F Bisson
- 2Department of Neurosurgery, University of Utah, Salt Lake City, Utah
| | - Brandon A Sherrod
- 2Department of Neurosurgery, University of Utah, Salt Lake City, Utah
| | - Anthony L Asher
- 3Neuroscience Institute, Carolinas Healthcare System and Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina
| | - Domagoj Coric
- 3Neuroscience Institute, Carolinas Healthcare System and Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina
| | - Eric A Potts
- 4Goodman Campbell Brain and Spine, Indianapolis, Indiana
| | - Kevin T Foley
- 5Department of Neurosurgery, Semmes Murphey Neurologic and Spine Institute, Memphis, Tennessee
| | - Michael Y Wang
- 6Department of Neurosurgery, University of Miami, Florida
| | - Kai-Ming Fu
- 7Department of Neurosurgery, Weill Cornell Medical Center, New York, New York
| | - Michael S Virk
- 7Department of Neurosurgery, Weill Cornell Medical Center, New York, New York
| | | | - Scott Meyer
- 8Atlantic Neurosurgical Specialists, Morristown, New Jersey
| | - Paul Park
- 9Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan
| | - Cheerag Upadhyaya
- 10Marion Bloch Neuroscience Institute, Saint Luke's Health System, Kansas City, Missouri
| | - Mark E Shaffrey
- 11Department of Neurosurgery, University of Virginia, Charlottesville, Virginia
| | - Avery L Buchholz
- 11Department of Neurosurgery, University of Virginia, Charlottesville, Virginia
| | | | - Jay D Turner
- 12Barrow Neurological Institute, Phoenix, Arizona
| | - Nitin Agarwal
- 13Department of Neurosurgery, Washington University in St. Louis, Missouri
| | - Andrew K Chan
- 14Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons, The Och Spine Hospital at NewYork-Presbyterian, New York, New York
| | - Dean Chou
- 14Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons, The Och Spine Hospital at NewYork-Presbyterian, New York, New York
| | - Nauman S Chaudhry
- 15Department of Neurosurgery, University of South Florida, Tampa, Florida
| | - Regis W Haid
- 16Atlanta Brain and Spine Care, Atlanta, Georgia
| | - Praveen V Mummaneni
- 17Department of Neurosurgery, University of California, San Francisco, California; and
| | | | - Mohamad Bydon
- 18Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota
| | - Oren N Gottfried
- 1Department of Neurosurgery, Duke University, Durham, North Carolina
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Jayaram L, King PT, Hunt J, Lim M, Park C, Hu E, Dousha L, Ha P, Bartlett JB, Southcott AM, Muruganandan S, Vogrin S, Rees MA, Dean OM, Wong CA. Evaluation of high dose N- Acetylcysteine on airway inflammation and quality of life outcomes in adults with bronchiectasis: A randomised placebo-controlled pilot study. Pulm Pharmacol Ther 2024; 84:102283. [PMID: 38141851 DOI: 10.1016/j.pupt.2023.102283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 11/09/2023] [Accepted: 12/11/2023] [Indexed: 12/25/2023]
Abstract
BACKGROUND High dose N acetylcysteine (NAC), a mucolytic, anti-inflammatory and antioxidant agent has been shown to significantly reduce exacerbations, and improve quality of life in placebo controlled, double blind randomised (RCT) studies in patients with COPD, and in an open, randomised study in bronchiectasis. In this pilot, randomised, double-blind, placebo-controlled study, we wished to investigate the feasibility of a larger clinical trial, and the anti-inflammatory and clinical benefits of high dose NAC in bronchiectasis. AIMS Primary outcome: to assess the efficacy of NAC 2400 mg/day at 6 weeks on sputum neutrophil elastase (NE), a surrogate marker for exacerbations. Secondary aims included assessing the efficacy of NAC on sputum MUC5B, IL-8, lung function, quality of life, and adverse effects. METHODS Participants were randomised to receive 2400 mg or placebo for 6 weeks. They underwent 3 visits: at baseline, week 3 and week 6 where clinical and sputum measurements were assessed. RESULTS The study was stopped early due to the COVID pandemic. In total 24/30 patients were recruited, of which 17 completed all aspects of the study. Given this, a per protocol analysis was undertaken: NAC (n = 9) vs placebo (n = 8): mean age 72 vs 62 years; male gender: 44% vs 50%; baseline median FEV11.56 L (mean 71.5 % predicted) vs 2.29L (mean 82.2% predicted). At 6 weeks, sputum NE fell by 47% in the NAC group relative to placebo (mean fold difference (95%CI: 0.53 (0.12,2.42); MUC5B increased by 48% with NAC compared with placebo. Lung function, FVC improved significantly with NAC compared with placebo at 6 weeks (mean fold difference (95%CI): 1.10 (1.00, 1.20), p = 0.045. Bronchiectasis Quality of life measures within the respiratory and social functioning domains demonstrated clinically meaningful improvements, with social functioning reaching statistical significance. Adverse effects were similar in both groups. CONCLUSION High dose NAC exhibits anti-inflammatory benefits, and improvements in aspects of quality of life and lung function measures. It is safe and well tolerated. Further larger placebo controlled RCT's are now warranted examining its role in reducing exacerbations.
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Affiliation(s)
- L Jayaram
- Western Health, Gordon Street, Footscray, VIC, 3011, Australia; University of Melbourne, Parkville, VIC, 3010, Australia.
| | - P T King
- Monash Medical Centre, Clayton Road, Clayton, VIC, 3068, Australia; Monash University, Wellington Road, Clayton, VIC, 3068, Australia
| | - J Hunt
- Western Health, Gordon Street, Footscray, VIC, 3011, Australia
| | - M Lim
- Western Health, Gordon Street, Footscray, VIC, 3011, Australia
| | - C Park
- Western Health, Gordon Street, Footscray, VIC, 3011, Australia
| | - E Hu
- Western Health, Gordon Street, Footscray, VIC, 3011, Australia
| | - L Dousha
- Monash Medical Centre, Clayton Road, Clayton, VIC, 3068, Australia; Monash University, Wellington Road, Clayton, VIC, 3068, Australia
| | - P Ha
- Western Health, Gordon Street, Footscray, VIC, 3011, Australia
| | - J B Bartlett
- Western Health, Gordon Street, Footscray, VIC, 3011, Australia; University of Melbourne, Parkville, VIC, 3010, Australia
| | - A M Southcott
- Western Health, Gordon Street, Footscray, VIC, 3011, Australia; University of Melbourne, Parkville, VIC, 3010, Australia
| | - S Muruganandan
- University of Melbourne, Parkville, VIC, 3010, Australia; Northern Health, Epping, VIC, 3076 Australia
| | - S Vogrin
- University of Melbourne, Parkville, VIC, 3010, Australia
| | - M A Rees
- University of Melbourne, Parkville, VIC, 3010, Australia; Royal Melbourne Hospital, Gratten St, VIC, 3050, Australia
| | - O M Dean
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, 3220 Australia; Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, The University of Melbourne, VIC , 3010, Australia
| | - C A Wong
- Middlemore Hospital, Te Whatu Ora, Otahuhu, Auckland, 1025, New Zealand; University of Auckland, Park Road, Auckland, 1010, New Zealand
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8
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Chan AT, Maya TR, Park C, Tak K, Liberman N, Jain RH, Park MJ, Park RY, Grizzard J, Kim G, Tap WD, Jessurun J, Liu J, Kim J, Steingart RM, Weinsaft JW. Incremental Utility of First-Pass Perfusion CMR for Prognostic Risk Stratification of Cancer-Associated Cardiac Masses. JACC Cardiovasc Imaging 2024; 17:128-145. [PMID: 37410010 DOI: 10.1016/j.jcmg.2023.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND Cardiac magnetic resonance (CMR) differentiates cardiac metastasis (CMET) and cardiac thrombus (CTHR) based on tissue characteristics stemming from vascularity on late gadolinium enhancement (LGE). Perfusion CMR can assess magnitude of vascularity; utility for cardiac masses (CMASS) is unknown. OBJECTIVES This study sought to determine if perfusion CMR provides diagnostic and prognostic utility for CMASS beyond binary differentiation of CMET and CTHR. METHODS The population comprised adult cancer patients with CMASS on CMR; CMET and CTHR were defined using LGE-CMR: CMASS+ patients were matched to CMASS- control subjects for cancer type/stage. First-pass perfusion CMR was interpreted visually and semiquantitatively for CMASS vascularity, including contrast enhancement ratio (CER) (plateau vs baseline) and contrast uptake rate (CUR) (slope). Follow-up was performed for all-cause mortality. RESULTS A total of 462 cancer patients were studied, including patients with (CMET = 173, CTHR = 69) and without CMASS on LGE-CMR. On perfusion CMR, CER and CUR were higher within CMET vs CTHR (P < 0.001); CUR yielded better performance (AUC: 0.89-0.93) than CER (AUC: 0.66-0.72) (both P < 0.001) to differentiate LGE-CMR-evidenced CMET and CTHR, although both CUR (P = 0.10) and CER (P = 0.01) typically misclassified CMET with minimal enhancement. During follow-up, mortality among CMET patients was high but variable; 47% of patients were alive 1 year post-CMR. Patients with semiquantitative perfusion CMR-evidenced CMET had higher mortality than control subjects (HR: 1.42 [95% CI: 1.06-1.90]; P = 0.02), paralleling visual perfusion CMR (HR: 1.47 [95% CI: 1.12-1.94]; P = 0.006) and LGE-CMR (HR: 1.52 [95% CI: 1.16-2.00]; P = 0.003). Among patients with CMET on LGE-CMR, mortality was highest among patients (P = 0.002) with lesions in the bottom perfusion (CER) tertile, corresponding to low vascularity. Among CMET and cancer-matched control subjects, mortality was equivalent (P = NS) among patients with lesions in the upper CER tertile (corresponding to higher lesion vascularity). Conversely, patients with CMET in the middle (P = 0.03) and lowest (lowest vascularity) (P = 0.001) CER tertiles had increased mortality. CONCLUSIONS Perfusion CMR yields prognostic utility that complements LGE-CMR: Among cancer patients with LGE-CMR defined CMET, mortality increases in proportion to magnitude of lesion hypoperfusion.
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Affiliation(s)
- Angel T Chan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA; Department of Medicine, Weill Cornell Medical College, New York, New York, USA.
| | - Tania Ruiz Maya
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Christine Park
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Katherine Tak
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Nicole Liberman
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Raina H Jain
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Michael J Park
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Robert Y Park
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - John Grizzard
- Department of Radiology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Gene Kim
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - William D Tap
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA; Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Jose Jessurun
- Department of Pathology, Weill Cornell Medical College, New York, New York, USA
| | - Jennifer Liu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA; Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Jiwon Kim
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA; Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - Richard M Steingart
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA; Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Jonathan W Weinsaft
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA; Department of Medicine, Weill Cornell Medical College, New York, New York, USA; Department of Radiology, Weill Cornell Medical College, New York, New York, USA.
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Park C, Shaffrey CI, Than KD, Michalopoulos GD, El Sammak S, Chan AK, Bisson EF, Sherrod BA, Asher AL, Coric D, Potts EA, Foley KT, Wang MY, Fu KM, Virk MS, Knightly JJ, Meyer S, Park P, Upadhyaya C, Shaffrey ME, Buchholz AL, Tumialán LM, Turner J, Agarwal N, Chou D, Chaudhry NS, Haid RW, Mummaneni PV, Bydon M, Gottfried ON. What factors influence surgical decision-making in anterior versus posterior surgery for cervical myelopathy? A QOD analysis. J Neurosurg Spine 2024; 40:206-215. [PMID: 37948703 DOI: 10.3171/2023.8.spine23194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 08/29/2023] [Indexed: 11/12/2023]
Abstract
OBJECTIVE The aim of this study was to explore the preoperative patient characteristics that affect surgical decision-making when selecting an anterior or posterior operative approach in patients diagnosed with cervical spondylotic myelopathy (CSM). METHODS This was a multi-institutional, retrospective study of the prospective Quality Outcomes Database (QOD) Cervical Spondylotic Myelopathy module. Patients aged 18 years or older diagnosed with primary CSM who underwent multilevel (≥ 2-level) elective surgery were included. Demographics and baseline clinical characteristics were collected. RESULTS Of the 841 patients with CSM in the database, 492 (58.5%) underwent multilevel anterior surgery and 349 (41.5%) underwent multilevel posterior surgery. Surgeons more often performed a posterior surgical approach in older patients (mean 64.8 ± 10.6 vs 58.5 ± 11.1 years, p < 0.001) and those with a higher American Society of Anesthesiologists class (class III or IV: 52.4% vs 46.3%, p = 0.003), a higher rate of motor deficit (67.0% vs 58.7%, p = 0.014), worse myelopathy (mean modified Japanese Orthopaedic Association score 11.4 ± 3.1 vs 12.4 ± 2.6, p < 0.001), and more levels treated (4.3 ± 1.3 vs 2.4 ± 0.6, p < 0.001). On the other hand, surgeons more frequently performed an anterior surgical approach when patients were employed (47.2% vs 23.2%, p < 0.001) and had intervertebral disc herniation as an underlying pathology (30.7% vs 9.2%, p < 0.001). CONCLUSIONS The selection of approach for patients with CSM depends on patient demographics and symptomology. Posterior surgery was performed in patients who were older and had worse systemic disease, increased myelopathy, and greater levels of stenosis. Anterior surgery was more often performed in patients who were employed and had intervertebral disc herniation.
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Affiliation(s)
- Christine Park
- 1Department of Neurosurgery, Duke University, Durham, North Carolina
| | | | - Khoi D Than
- 1Department of Neurosurgery, Duke University, Durham, North Carolina
| | | | - Sally El Sammak
- 2Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota
| | - Andrew K Chan
- 3Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons, The Och Spine Hospital at NewYork-Presbyterian, New York, New York
| | - Erica F Bisson
- 4Department of Neurosurgery, University of Utah, Salt Lake City, Utah
| | - Brandon A Sherrod
- 4Department of Neurosurgery, University of Utah, Salt Lake City, Utah
| | - Anthony L Asher
- 5Neuroscience Institute, Carolinas Healthcare System and Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina
| | - Domagoj Coric
- 5Neuroscience Institute, Carolinas Healthcare System and Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina
| | - Eric A Potts
- 6Goodman Campbell Brain and Spine, Indianapolis, Indiana
| | - Kevin T Foley
- 7Department of Neurosurgery, University of Tennessee, Semmes Murphey Neurologic and Spine Institute, Memphis, Tennessee
| | - Michael Y Wang
- 8Department of Neurosurgery, University of Miami, Florida
| | - Kai-Ming Fu
- 9Department of Neurosurgery, Weill Cornell Medical Center, New York, New York
| | - Michael S Virk
- 9Department of Neurosurgery, Weill Cornell Medical Center, New York, New York
| | - John J Knightly
- 10Atlantic Neurosurgical Specialists, Morristown, New Jersey
| | - Scott Meyer
- 10Atlantic Neurosurgical Specialists, Morristown, New Jersey
| | - Paul Park
- 11Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan
| | - Cheerag Upadhyaya
- 12Marion Bloch Neuroscience Institute, Saint Luke's Health System, Kansas City, Missouri
| | - Mark E Shaffrey
- 13Department of Neurosurgery, University of Virginia, Charlottesville, Virginia
| | - Avery L Buchholz
- 13Department of Neurosurgery, University of Virginia, Charlottesville, Virginia
| | | | - Jay Turner
- 14Barrow Neurological Institute, Phoenix, Arizona
| | - Nitin Agarwal
- 15Department of Neurosurgery, Washington University in St. Louis, Missouri
| | - Dean Chou
- 3Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons, The Och Spine Hospital at NewYork-Presbyterian, New York, New York
| | - Nauman S Chaudhry
- 1Department of Neurosurgery, Duke University, Durham, North Carolina
| | - Regis W Haid
- 16Atlanta Brain and Spine Care, Atlanta, Georgia; and
| | - Praveen V Mummaneni
- 17Department of Neurosurgery, University of California, San Francisco, California
| | - Mohamad Bydon
- 2Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota
| | - Oren N Gottfried
- 1Department of Neurosurgery, Duke University, Durham, North Carolina
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10
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Burt L, Clark L, Park C. Stronger together: learner reactions on a team-based, interprofessional first death simulation experience. J Interprof Care 2024; 38:95-103. [PMID: 37422861 DOI: 10.1080/13561820.2023.2232408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 06/08/2023] [Accepted: 06/27/2023] [Indexed: 07/11/2023]
Abstract
Patient death is a common experience that may be traumatic for health care providers. Although current rates of burnout are high, evidence supports that interprofessional coping can improve clinician mental health. While health care simulation affords learners freedom of safety to participate in a variety of educational experiences, current application of simulation during patient death is limited to professional duties, without explicitly addressing learner emotional well-being. We designed a patient death simulation scenario within a supportive and reflective interprofessional environment to teach foundational coping and well-being strategies to preclinical nursing, medical, and pharmacy students. Sixty-one students participated in this team-based, First Death simulation experience. Debriefings were analyzed using qualitative inductive content analysis methodology. Students reacted to being part of an interprofessional team after having participated in simulation about the death of a patient as described by five categories: emotional awareness, communication insight, feeling stronger together, with role curiosity, and through reflections on support. Findings suggested that simulation is an effective teaching modality for mentoring interprofessional students on humanistic well-being strategies. Furthermore, the experience fostered reactions transcending interprofessional competencies, which are transferrable to future clinical practice.
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Affiliation(s)
- Leah Burt
- College of Nursing Department of Biobehavioral Nursing Science, University of Illinois Chicago, Chicago, Illinois, USA
| | - Lou Clark
- M Simulation, University of Minnesota, Minneapolis, Minnesota, USA
| | - Christine Park
- College of Medicine, Simulation and Integrative Learning (SAIL) Institute, University of Illinois, Chicago, Illinois, USA
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11
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Feng W, Domeracki A, Park C, Shah S, Chhatbar PY, Pawar S, Chang C, Hsu PC, Richardson E, Hasan D, Sokhadze E, Zhang Q, Liu H. Revisiting Transcranial Light Stimulation as a Stroke Therapeutic-Hurdles and Opportunities. Transl Stroke Res 2023; 14:854-862. [PMID: 36369294 DOI: 10.1007/s12975-022-01103-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 10/31/2022] [Accepted: 11/02/2022] [Indexed: 11/13/2022]
Abstract
Near-infrared laser therapy, a special form of transcranial light therapy, has been tested as an acute stroke therapy in three large clinical trials. While the NEST trials failed to show the efficacy of light therapy in human stroke patients, there are many lingering questions and lessons that can be learned. In this review, we summarize the putative mechanism of light stimulation in the setting of stroke, highlight barriers, and challenges during the translational process, and evaluate light stimulation parameters, dosages and safety issues, choice of outcomes, effect size, and patient selection criteria. In the end, we propose potential future opportunities with transcranial light stimulation as a cerebroprotective or restorative tool for future stroke treatment.
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Affiliation(s)
- Wuwei Feng
- Department of Neurology, Duke University School of Medicine, Durham, NC, 27710, USA.
| | - Alexis Domeracki
- Department of Neurology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Christine Park
- Department of Neurology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Shreyansh Shah
- Department of Neurology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Pratik Y Chhatbar
- Department of Neurology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Swaroop Pawar
- Department of Neurology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Cherylee Chang
- Department of Neurology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Po-Chun Hsu
- Department of Biomedical Engineering, Duke University, Durham, NC, 27710, USA
| | - Eric Richardson
- Department of Biomedical Engineering, Duke University, Durham, NC, 27710, USA
| | - David Hasan
- Department of Neurosurgery, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Estate Sokhadze
- Department of Neurology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Quanguang Zhang
- Department Department of Neurology, LSU Health Sciences Center, Shreveport, LA, 71103, USA
| | - Hanli Liu
- Department of Bioengineering, University of Texas at Arlington, Arlington, TX, 76019, USA
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12
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Nayahangan LJ, Konge L, Park C, Dubrowski A, Yudkowsky R. Development of a Rubric to Evaluate Implementation Quality of Simulation-Based Courses: A Consensus Study. Simul Healthc 2023; 18:351-358. [PMID: 36111989 DOI: 10.1097/sih.0000000000000684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Simulation-based education is a recognized way of developing medical competencies, and there is overwhelming scientific evidence to support its efficacy. However, it is still underused, which can often be related to poor implementation process. In addition, best practices for implementation of simulation-based courses based on implementation science are not widely known nor applied. The purpose of this study was to develop a rubric, the Implementation Quality Rubric for Simulation (IQR-SIM), to evaluate the implementation quality of simulation-based courses. METHODS A 3-round, modified Delphi process involving international simulation and implementation experts was initiated to gather and converge opinions regarding criteria for evaluating the implementation quality of simulation-based courses. Candidate items for Round 1 were developed based on the Adapted Implementation Model for Simulation. Items were revised and expanded to include descriptive anchors for evaluation in Round 2. Criterion for inclusion was 70% of respondents selecting an importance rating of 4 or 5/5. Round 3 provided refinement and final approval of items and anchors. RESULTS Thirty-three experts from 9 countries participated. The initial rubric of 32 items was reduced to 18 items after 3 Delphi rounds, resulting in the IQR-SIM: a 3-point rating scale, with nonscored options "Don't know/can't assess" and "Not applicable," and a comments section. CONCLUSIONS The IQR-SIM is an operational tool that can be used to evaluate the implementation quality of simulation-based courses and aid in the implementation process to identify gaps, monitor the process, and promote the achievement of desired implementation and learning outcomes.
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Affiliation(s)
- Leizl Joy Nayahangan
- From the Copenhagen Academy for Medical Education and Simulation (CAMES), Centre for Human Resources and Education, Copenhagen, Denmark (L.J.N., L.K.); Department of Medical Education, College of Medicine, University of Illinois at Chicago, IL (L.J.N., C.P., R.Y.); Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark (L.K.); and maxSIMhealth Laboratory, Faculty of Health Sciences, Ontario Tech Health Sciences, Oshawa, Ontario Canada (A.D.)
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13
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Zhang J, Santos C, Park C, Mazurowski MA, Colglazier R. Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach. J Digit Imaging 2023; 36:2402-2410. [PMID: 37620710 PMCID: PMC10584746 DOI: 10.1007/s10278-023-00894-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 07/28/2023] [Accepted: 07/31/2023] [Indexed: 08/26/2023] Open
Abstract
Large numbers of radiographic images are available in musculoskeletal radiology practices which could be used for training of deep learning models for diagnosis of knee abnormalities. However, those images do not typically contain readily available labels due to limitations of human annotations. The purpose of our study was to develop an automated labeling approach that improves the image classification model to distinguish normal knee images from those with abnormalities or prior arthroplasty. The automated labeler was trained on a small set of labeled data to automatically label a much larger set of unlabeled data, further improving the image classification performance for knee radiographic diagnosis. We used BioBERT and EfficientNet as the feature extraction backbone of the labeler and imaging model, respectively. We developed our approach using 7382 patients and validated it on a separate set of 637 patients. The final image classification model, trained using both manually labeled and pseudo-labeled data, had the higher weighted average AUC (WA-AUC 0.903) value and higher AUC values among all classes (normal AUC 0.894; abnormal AUC 0.896, arthroplasty AUC 0.990) compared to the baseline model (WA-AUC = 0.857; normal AUC 0.842; abnormal AUC 0.848, arthroplasty AUC 0.987), trained using only manually labeled data. Statistical tests show that the improvement is significant on normal (p value < 0.002), abnormal (p value < 0.001), and WA-AUC (p value = 0.001). Our findings demonstrated that the proposed automated labeling approach significantly improves the performance of image classification for radiographic knee diagnosis, allowing for facilitating patient care and curation of large knee datasets.
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Affiliation(s)
- Jikai Zhang
- Department of Electrical and Computer Engineering, Duke University, Room 10070, 2424 Erwin Road, Durham, NC, 27705, USA.
| | - Carlos Santos
- Wake Forest University, Winston-Salem, NC, 27109, USA
| | - Christine Park
- Department of Radiology, Duke University Medical Center, Durham, NC, USA
| | - Maciej A Mazurowski
- Department of Radiology, Duke University Medical Center, Durham, NC, USA
- Department of Electrical and Computer Engineering, Department of Biostatistics and Bioinformatics, Department of Computer Science, Duke University, Durham, NC, USA
| | - Roy Colglazier
- Department of Radiology, Duke University Medical Center, Durham, NC, USA
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14
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Raghu VK, Leraas HJ, Samoylova M, Park C, Rothenberger SD, Sudan D, Avitzur Y. Predictors of 1-year enteral autonomy in children with intestinal failure: A descriptive retrospective cohort study. JPEN J Parenter Enteral Nutr 2023; 47:1047-1055. [PMID: 37573479 PMCID: PMC10843595 DOI: 10.1002/jpen.2557] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 07/20/2023] [Accepted: 08/02/2023] [Indexed: 08/14/2023]
Abstract
INTRODUCTION The International Intestinal Failure Registry (IIFR) is an international consortium to study intestinal failure (IF) outcomes in a large contemporary pediatric cohort. We aimed to identify predictors of early (1-year) enteral autonomy. METHODS We included IIFR pilot phase patients. IF was defined by a parenteral nutrition need for at least 60 days due to a primary gastrointestinal etiology. The primary outcome was time to enteral autonomy achievement. We built a mixed-effects Weibull accelerated failure time model with random effects by center to analyze variables associated with enteral autonomy achievement with a primary outcome of time ratio (TR). RESULTS We included 189 patients (82% with short bowel syndrome) representing 11 international centers. Cumulative incidence of early enteral autonomy was 51.6%, and death was 6.5%. In multivariable analysis, ostomy presence (TR, 2.63; 95% CI, 1.41-4.90) was associated with increased time to enteral autonomy achievement, and Asian/Indian (TR, 0.28; 95% CI, 0.10-0.81) and Pacific Islander race (TR, 0.34; 95% CI, 0.13-0.90) were associated with decreased time to enteral autonomy achievement. In a second model in the subset with measured percentage of bowel length remaining, ostomy presence (TR, 4.21; 95% CI, 1.90-9.33) was associated with increased time to enteral autonomy achievement, whereas greater percentage of bowel remaining (TR, 0.96; 95% CI, 0.94-0.98) was associated with decreased time to enteral autonomy achievement. CONCLUSIONS Minimizing bowel resection at initial surgery and establishing bowel continuity by ostomy reversal can effectively decrease the time to early enteral autonomy achievement in children with IF.
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Affiliation(s)
- Vikram K Raghu
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Harold J Leraas
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Mariya Samoylova
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Christine Park
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Scott D Rothenberger
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Debra Sudan
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Yaron Avitzur
- Division of Gastroenterology, Hepatology and Nutrition, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
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15
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Lui A, Park C, Chryssikos T, Radabaugh H, Patel A, Aabedi AA, Ferguson AR, Torres Espin A, Mummaneni PV, Dhall SS, Duong-Fernandez X, Saigal R, Chou A, Pan J, Singh V, Hemmerle DD, Kyritsis N, Talbott JF, Pascual LU, Huie JR, Whetstone WD, Bresnahan JC, Beattie MS, Weinstein PR, Manley GT, DiGiorgio AM. Safety and comparative efficacy of initiating low-molecular-weight heparin within 24 hours of injury or surgery for venous thromboembolism prophylaxis in patients with spinal cord injury: a prospective TRACK-SCI registry study. Neurosurg Focus 2023; 55:E17. [PMID: 37778033 DOI: 10.3171/2023.7.focus23362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 07/26/2023] [Indexed: 10/03/2023]
Abstract
OBJECTIVE Venous thromboembolism (VTE) following traumatic spinal cord injury (SCI) is a significant clinical concern. This study sought to determine the incidence of VTE and hemorrhagic complications among patients with SCI who received low-molecular-weight heparin (LMWH) within 24 hours of injury or surgery and identify variables that predict VTE using the prospective Transforming Research and Clinical Knowledge in SCI (TRACK-SCI) database. METHODS The TRACK-SCI database was queried for individuals with traumatic SCI from 2015 to 2022. Primary outcomes of interest included rates of VTE (including deep vein thrombosis [DVT] and pulmonary embolism [PE]) and in-hospital hemorrhagic complications that occurred after LWMH administration. Secondary outcomes included intensive care unit and hospital length of stay, discharge location type, and in-hospital mortality. RESULTS The study cohort consisted of 162 patients with SCI. Fifteen of the 162 patients withdrew from the study, leading to loss of data for certain variables for these patients. One hundred thirty patients (87.8%) underwent decompression and/or fusion surgery for SCI. DVT occurred in 11 (7.4%) of 148 patients, PE in 9 (6.1%) of 148, and any VTE in 18 (12.2%) of 148 patients. The analysis showed that admission lower-extremity motor score (p = 0.0408), injury at the thoracic level (p = 0.0086), admission American Spinal Injury Association grade (p = 0.0070), and younger age (p = 0.0372) were significantly associated with VTE. There were 3 instances of postoperative spine surgery-related bleeding (2.4%) in the 127 patients who had spine surgery with bleeding complication data available, with one requiring return to surgery (0.8%). Thirteen (8.8%) of 147 patients had a bleeding complication not related to spine surgery. There were 2 gastrointestinal bleeds associated with nasogastric tube placement, 3 cases of postoperative non-spine-related surgery bleeding, and 8 cases of other bleeding complications (5.4%) not related to any surgery. CONCLUSIONS Initiation of LMWH within 24 hours was associated with a low rate of spine surgery-related bleeding. Bleeding complications unrelated to SCI surgery still occur with LMWH administration. Because neurosurgical intervention is typically the limiting factor in initializing chemical DVT prophylaxis, many of these bleeding complications would have likely occurred regardless of the protocol.
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Affiliation(s)
- Austin Lui
- 1College of Osteopathic Medicine, Touro University California, Vallejo
| | | | | | | | | | | | - Adam R Ferguson
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
- 5San Francisco Veterans Affairs Healthcare System, San Francisco, California
| | - Abel Torres Espin
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | - Praveen V Mummaneni
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | - Sanjay S Dhall
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | - Xuan Duong-Fernandez
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | - Rajiv Saigal
- 6Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Austin Chou
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | - Jonathan Pan
- Departments of2Neurological Surgery
- 7Anesthesia and Perioperative Care
| | | | - Debra D Hemmerle
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | - Nikos Kyritsis
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | - Jason F Talbott
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
- 9Radiology and Biomedical Imaging, and
| | - Lisa U Pascual
- 10Department of Orthopedic Surgery, Orthopaedic Trauma Institute, University of California, San Francisco
| | - J Russell Huie
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | | | - Jacqueline C Bresnahan
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
| | - Michael S Beattie
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
- 5San Francisco Veterans Affairs Healthcare System, San Francisco, California
| | - Philip R Weinstein
- Departments of2Neurological Surgery
- 8Neurology
- 12Weill Institute for Neurosciences, Institute for Neurodegenerative Diseases, Spine Center, University of California, San Francisco; and
| | - Geoffrey T Manley
- Departments of2Neurological Surgery
- 13Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California
| | - Anthony M DiGiorgio
- Departments of2Neurological Surgery
- 3Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco
- 4Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco
- 13Brain and Spinal Injury Center, San Francisco General Hospital, San Francisco, California
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16
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Marsden MER, Buckley AM, Park C, Tai N, Rees P. Balloons on the battlefield: REBOA implementation in the UK Defence Medical Services. BMJ Mil Health 2023; 169:448-451. [PMID: 34408063 DOI: 10.1136/bmjmilitary-2021-001925] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 07/19/2021] [Indexed: 11/04/2022]
Abstract
Established in 2018, the Defence Endovascular Resuscitation (DefER) group recognised that resuscitative endovascular balloon occlusion of the aorta (REBOA) offered an option to improve survival in battle casualties dying from haemorrhage, particularly in remote and austere surgical settings. Following a successful jHub opportunity assessment, DefER purchased training and operational kit at pace. By 1 April 2019, the first forward surgical group undertook a bespoke endovascular training and assessment package. Results of the pilot were presented back to a jHub 4* Innovation Board, which initially awarded £500 000 to fund the project to full implementation. Med Op Cap provided a solution to establish REBOA as a core capability on to the 370 modules. REBOA catheters and arterial access kit are now available to deployed Role 2 facilities across defence as an adjunct to damage control resuscitation in specific circumstances. REBOA has, from a standing start, gained pan-Defence Medical Services (DMS) endorsement and has been integrated into deployed damage control resuscitation. To establish a new resuscitation capability across all Role 2 platforms within 15 months of inception represents implementation at pace. This agility was unlocked by empowering clinicians to develop the platform in conjunction with commercial procurement. This article describes how this innovative pathway facilitated the rapid introduction of a lifesaving haemorrhage control technique to equip DMS clinicians.
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Affiliation(s)
- Max E R Marsden
- Academic Department of Military Surgery and Trauma, Royal Centre for Defence Medicine, Birmingham, UK
- Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London Barts and The London School of Medicine and Dentistry, London, UK
| | - A M Buckley
- jHubMed, UKStratCom, London, UK
- Academic Department of Military Medicine, Royal Centre for Defence Medicine, Birmingham, UK
| | - C Park
- Critical Care, King's College Hospital, London, UK
- London's Air Ambulance, Barts Health NHS Trust, London, UK
| | - N Tai
- Academic Department of Military Surgery and Trauma, Royal Centre for Defence Medicine, Birmingham, UK
- Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London Barts and The London School of Medicine and Dentistry, London, UK
| | - P Rees
- Academic Department of Military Medicine, Royal Centre for Defence Medicine, Birmingham, UK
- Barts Heart Centre, Barts Health NHS Trust, London, UK
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17
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Marsden MER, Park C, Barratt J, Tai N, Rees P. Defence Medical Services' REBOA training course. BMJ Mil Health 2023; 169:452-455. [PMID: 34607909 DOI: 10.1136/bmjmilitary-2021-001926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 08/25/2021] [Indexed: 11/04/2022]
Abstract
Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA) enables temporary haemorrhage control and physiological stabilisation. This article describes the bespoke Defence Medical Services (DMS) training package for effectively using REBOA. The article covers how the course was designed, how the key learning objectives are taught, participant feedback and the authors' perceptions of future training challenges and opportunities. Since the inaugural training course in April 2019, the authors have delivered six courses, training over 100 clinicians. For the first time in the UK DMS, we designed and delivered a robust specialist endovascular training programme, with demonstrable, significant increases in confidence and competence. As a result of this course, the first DMS REBOA-equipped forward surgical teams deployed in June 2019. Looking to the future, there is a requirement to develop an assessment of skill retention and the potential need for revalidation.
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Affiliation(s)
- Max E R Marsden
- Academic Department of Military Surgery and Trauma, Royal Centre for Defence Medicine, Birmingham, UK
- Centre for Trauma Science, Blizard Institute, Queen Mary University of London Barts and The London School of Medicine and Dentistry, London, UK
| | - C Park
- Critical Care, King's College Hospital NHS Trust, London, London, UK
- London's Air Ambulance, Barts Health NHS Trust, London, UK
| | - J Barratt
- Emergency Medicine, University Hospitals of North Midlands NHS Trust, Stoke-on-Trent, UK
- Academic Department of Military Medicine, Royal Centre for Defence Medicine, Birmingham, UK
| | - N Tai
- Academic Department of Military Surgery and Trauma, Royal Centre for Defence Medicine, Birmingham, UK
- UK STRATCOM, jHubMed, London, UK
| | - P Rees
- Academic Department of Military Medicine, Royal Centre for Defence Medicine, Birmingham, UK
- Barts Heart Centre, Barts Health NHS Trust, London, UK
- University of St Andrews School of Medicine, St Andrews, UK
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18
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Park C, Agarwal N, Mummaneni PV, Berven SH. Spinopelvic Alignment: Importance in Spinal Pathologies and Realignment Strategies. Neurosurg Clin N Am 2023; 34:519-526. [PMID: 37718098 DOI: 10.1016/j.nec.2023.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/19/2023]
Abstract
Sagittal spinal malalignment can lead to pain, decreased function, dynamic imbalance, and compromise of patient-reported health status. The goal of reconstructive spine surgery is to restore spinal alignment parameters, and an understanding of appropriate patient-specific alignment is important for surgical planning and approaches. Radiographic spinopelvic parameters are strongly correlated with pain and function. The relationship between spinopelvic parameters and disability in adult spinal deformity patients is well-established, and optimal correction of sagittal alignment results in improved outcomes regarding patient health status and mechanical complications of surgery.
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Affiliation(s)
- Christine Park
- Department of Neurological Surgery, University of California, San Francisco, 505 Parnassus Avenue, San Francisco, CA 94143, USA.
| | - Nitin Agarwal
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Praveen V Mummaneni
- Department of Neurological Surgery, University of California, San Francisco, 505 Parnassus Avenue, San Francisco, CA 94143, USA
| | - Sigurd H Berven
- Department of Orthopaedic Surgery, University of California, San Francisco, CA, USA
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19
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Macki M, Ambati VS, Park C, Tawil M, Dada A, Jamieson A, Wilkinson S, Chryssikos T, Mummaneni PV. Surgical resection of lumbar intradural metastatic renal cell carcinoma. Neurosurg Focus Video 2023; 9:V22. [PMID: 37859942 PMCID: PMC10583818 DOI: 10.3171/2023.7.focvid2379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 07/14/2023] [Indexed: 10/21/2023]
Abstract
A 60-year-old male with renal cell carcinoma (RCC) presented with back pain, weakness, and bowel and bladder urgency. MRI demonstrated a cauda equina tumor at L2. Following L1-3 laminectomies, intraoperative ultrasound localized the tumor. After dural opening, a vascular tumor was adherent to the cauda equina. Intraoperative nerve stimulation helped to identify the nerve rootlets. Tumor was removed in a piecemeal fashion. Tumor dissection caused periodic spasms in L1-3 distributions. A neuromonitoring checklist was used to recover motor evoked potential signals with elevated mean arterial pressures. Hemostasis was challenging with the vascular tumor. Intraoperative ultrasound confirmed tumor debulking. Pathology confirmed metastatic RCC.
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Affiliation(s)
- Mohamed Macki
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Vardhaan S Ambati
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Christine Park
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Michael Tawil
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Abraham Dada
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Alysha Jamieson
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Sean Wilkinson
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Timothy Chryssikos
- Department of Neurological Surgery, University of California, San Francisco, California
| | - Praveen V Mummaneni
- Department of Neurological Surgery, University of California, San Francisco, California
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20
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Park C, Shabani S, Agarwal N, Tan L, Mummaneni PV. Robotic-Assisted Surgery and Navigation in Deformity Surgery. Neurosurg Clin N Am 2023; 34:659-664. [PMID: 37718112 DOI: 10.1016/j.nec.2023.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/19/2023]
Abstract
Deformity surgery is advancing quickly with the use of three-dimensional navigation and robotics. In spinal fusion, the use of robotics improves screw placement accuracy and reduces radiation, complications, blood loss, and recovery time. Currently, there is limited evidence showing that robotics is better than traditional freehand techniques. Most studies favoring robotics are small and retrospective due to the novelty of the technology in deformity surgery. Using these systems can also be expensive and time-consuming. Surgeons should use these advancements as tools, but not rely on them to replace surgical experience, anatomy knowledge, and good judgment.
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Affiliation(s)
- Christine Park
- Department of Neurological Surgery, University of California, 505 Parnassus Avenue, San Francisco, CA 94143, USA.
| | - Saman Shabani
- Department of Neurological Surgery, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA
| | - Nitin Agarwal
- Department of Neurological Surgery, 200 Lothrop Street, Pittsburgh, PA 15213, USA
| | - Lee Tan
- Department of Neurological Surgery, University of California, 505 Parnassus Avenue, San Francisco, CA 94143, USA
| | - Praveen V Mummaneni
- Department of Neurological Surgery, University of California, 505 Parnassus Avenue, San Francisco, CA 94143, USA
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21
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Guest JD, Kelly-Hedrick M, Williamson T, Park C, Ali DM, Sivaganesan A, Neal CJ, Tator CH, Fehlings MG. Development of a Systems Medicine Approach to Spinal Cord Injury. J Neurotrauma 2023; 40:1849-1877. [PMID: 37335060 PMCID: PMC10460697 DOI: 10.1089/neu.2023.0024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2023] Open
Abstract
Traumatic spinal cord injury (SCI) causes a sudden onset multi-system disease, permanently altering homeostasis with multiple complications. Consequences include aberrant neuronal circuits, multiple organ system dysfunctions, and chronic phenotypes such as neuropathic pain and metabolic syndrome. Reductionist approaches are used to classify SCI patients based on residual neurological function. Still, recovery varies due to interacting variables, including individual biology, comorbidities, complications, therapeutic side effects, and socioeconomic influences for which data integration methods are lacking. Infections, pressure sores, and heterotopic ossification are known recovery modifiers. However, the molecular pathobiology of the disease-modifying factors altering the neurological recovery-chronic syndrome trajectory is mainly unknown, with significant data gaps between intensive early treatment and chronic phases. Changes in organ function such as gut dysbiosis, adrenal dysregulation, fatty liver, muscle loss, and autonomic dysregulation disrupt homeostasis, generating progression-driving allostatic load. Interactions between interdependent systems produce emergent effects, such as resilience, that preclude single mechanism interpretations. Due to many interacting variables in individuals, substantiating the effects of treatments to improve neurological outcomes is difficult. Acute injury outcome predictors, including blood and cerebrospinal fluid biomarkers, neuroimaging signal changes, and autonomic system abnormalities, often do not predict chronic SCI syndrome phenotypes. In systems medicine, network analysis of bioinformatics data is used to derive molecular control modules. To better understand the evolution from acute SCI to chronic SCI multi-system states, we propose a topological phenotype framework integrating bioinformatics, physiological data, and allostatic load tested against accepted established recovery metrics. This form of correlational phenotyping may reveal critical nodal points for intervention to improve recovery trajectories. This study examines the limitations of current classifications of SCI and how these can evolve through systems medicine.
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Affiliation(s)
- James D. Guest
- Neurological Surgery and the Miami Project to Cure Paralysis, University of Miami, Miami, Florida, USA
| | | | - Theresa Williamson
- Massachusetts General Neurosurgery, Harvard University, Boston, Massachusetts, USA
| | - Christine Park
- Department of Neurosurgery, Duke University, Durham, North Carolina, USA
| | - Daniyal Mansoor Ali
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Ahilan Sivaganesan
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Chris J. Neal
- Division of Neurosurgery, Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - Charles H. Tator
- Division of Neurosurgery and Spine Program, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Michael G. Fehlings
- Division of Neurosurgery and Spine Program, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
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22
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Kelly-Hedrik M, Abd-El-Barr MM, Aarabi B, Curt A, Howley SP, Harrop JS, Kirshblum S, Neal CJ, Noonan V, Park C, Ugiliweneza B, Tator C, Toups EG, Fehlings MG, Williamson T, Guest JD. Importance of Prospective Registries and Clinical Research Networks in the Evolution of Spinal Cord Injury Care. J Neurotrauma 2023; 40:1834-1848. [PMID: 36576020 DOI: 10.1089/neu.2022.0450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Only 100 years ago, traumatic spinal cord injury (SCI) was commonly lethal. Today, most people who sustain SCI survive with continual efforts to improve their quality of life and neurological outcomes. SCI epidemiology is changing as preventative interventions reduce injuries in younger individuals, and there is an increased incidence of incomplete injuries in aging populations. Early treatment has become more intensive with decompressive surgery and proactive interventions to improve spinal cord perfusion. Accurate data, including specialized outcome measures, are crucial to understanding the impact of epidemiological and treatment trends. Dedicated SCI clinical research and data networks and registries have been established in the United States, Canada, Europe, and several other countries. We review four registry networks: the North American Clinical Trials Network (NACTN) SCI Registry, the National Spinal Cord Injury Model Systems (SCIMS) Database, the Rick Hansen SCI Registry (RHSCIR), and the European Multi-Center Study about Spinal Cord Injury (EMSCI). We compare the registries' focuses, data platforms, advanced analytics use, and impacts. We also describe how registries' data can be combined with electronic health records (EHRs) or shared using federated analysis to protect registrants' identities. These registries have identified changes in epidemiology, recovery patterns, complication incidence, and the impact of practice changes such as early decompression. They've also revealed latent disease-modifying factors, helped develop clinical trial stratification models, and served as matched control groups in clinical trials. Advancing SCI clinical science for personalized medicine requires advanced analytical techniques, including machine learning, counterfactual analysis, and the creation of digital twins. Registries and other data sources help drive innovation in SCI clinical science.
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Affiliation(s)
| | | | - Bizhan Aarabi
- University of Maryland School of Medicine, Maryland, USA
| | - Armin Curt
- Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland
| | - Susan P Howley
- Christopher & Dana Reeve Foundation, Short Hills, New Jersey, USA
| | - James S Harrop
- Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA
| | - Steven Kirshblum
- Rutgers New Jersey Medical School, Newark, New Jersey, USA
- Kessler Institute for Rehabilitation, West Orange, New Jersey, USA
- Kessler Foundation, West Orange, New Jersey, USA
| | - Christopher J Neal
- Division of Neurosurgery, Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - Vanessa Noonan
- Praxis Spinal Cord Institute, Vancouver, British Columbia, Canada
| | - Christine Park
- Duke University School of Medicine, Durham, North Carolina, USA
| | | | - Charles Tator
- Division of Neurosurgery and Spine Program, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Elizabeth G Toups
- Department of Neurosurgery, Houston Methodist Hospital, Houston, Texas, USA
| | - Michael G Fehlings
- Division of Neurosurgery and Spine Program, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Theresa Williamson
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - James D Guest
- Neurological Surgery and The Miami Project to Cure Paralysis, University of Miami, Miami, USA
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23
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Gopal K, Desir A, Abdelfattah KR, Park C. A Call for Formalized Training of Surgical Educators. J Surg Educ 2023; 80:1056-1060. [PMID: 37365118 DOI: 10.1016/j.jsurg.2023.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 04/30/2023] [Accepted: 06/01/2023] [Indexed: 06/28/2023]
Abstract
Current training curricula for future surgeons do not prioritize teaching residents how to teach. With increased expectations but decreased opportunities to operate, developing efficient and effective educators is a pressing necessity. In this article, we discuss the need to formalize the role of the surgical educator, and future directions to implement better training paradigms for surgical educators.
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Affiliation(s)
- K Gopal
- Division of General and Acute Care Surgery, University of Texas Southwestern Medical Center, Dallas Texas.
| | - A Desir
- Division of General and Acute Care Surgery, University of Texas Southwestern Medical Center, Dallas Texas
| | - K R Abdelfattah
- Division of General and Acute Care Surgery, University of Texas Southwestern Medical Center, Dallas Texas
| | - C Park
- Division of General and Acute Care Surgery, University of Texas Southwestern Medical Center, Dallas Texas
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24
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Park C, Ringel JB, Pinheiro LC, Morris AA, Sterling M, Balkan L, Banerjee S, Levitan EB, Safford MM, Goyal P. Allostatic load and incident heart failure in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study. BMC Cardiovasc Disord 2023; 23:340. [PMID: 37403029 DOI: 10.1186/s12872-023-03371-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 06/28/2023] [Indexed: 07/06/2023] Open
Abstract
BACKGROUND Allostatic load (AL) is the physiologic "wear and tear" on the body from stress. Yet, despite stress being implicated in the development heart failure (HF), it is unknown whether AL is associated with incident HF events. METHODS We examined 16,765 participants without HF at baseline from the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort. The main exposure was AL score quartile. AL was determined according to 11 physiologic parameters, whereby each parameter was assigned points (0-3) based on quartiles within the sample, and points were summed to create a total AL score ranging from 0-33. The outcome was incident HF event. We examined the association between AL quartile (Q1-Q4) and incident HF events using Cox proportional hazards models, adjusted for demographics, socioeconomic factors, and lifestyle. RESULTS The mean age was 64 ± 9.6 years, 61.5% were women, and 38.7% were Black participants. Over a median follow up of 11.4 years, we observed 750 incident HF events (635 HF hospitalizations and 115 HF deaths). Compared to the lowest AL quartile (Q1), the fully adjusted hazards of an incident HF event increased in a graded fashion: Q2 HR 1.49 95% CI 1.12-1.98; Q3 HR 2.47 95% CI 1.89-3.23; Q4 HR 4.28 95% CI 3.28-5.59. The HRs for incident HF event in the fully adjusted model that also adjusted for CAD were attenuated, but remained significant and increased in a similar, graded fashion by AL quartile. There was a significant age interaction (p-for-interaction < 0.001), whereby the associations were observed across each age stratum, but the HRs were highest among those aged < 65 years. CONCLUSION AL was associated with incident HF events, suggesting that AL could be an important risk factor and potential target for future interventions to prevent HF.
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Affiliation(s)
- Christine Park
- Department of Medicine, New York Presbyterian-Weill Cornell, New York, NY, USA
| | - Joanna B Ringel
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Laura C Pinheiro
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Alanna A Morris
- Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Madeline Sterling
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Lauren Balkan
- Department of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Samprit Banerjee
- Division of Biostatistics and Epidemiology, Department of Public Health, Weill Medical College of Cornell University, New York, NY, USA
| | - Emily B Levitan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Monika M Safford
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Parag Goyal
- Department of Medicine, New York Presbyterian-Weill Cornell, New York, NY, USA.
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
- Division of Cardiology, Department of Medicine, Weill Cornell Medicine, 420 E. 70Th St, LH-365, New York, NY, 10021, USA.
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25
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Chan AK, Shaffrey CI, Park C, Gottfried ON, Than KD, Bisson EF, Bydon M, Asher AL, Coric D, Potts EA, Foley KT, Wang MY, Fu KM, Virk MS, Knightly JJ, Meyer S, Park P, Upadhyaya CD, Shaffrey ME, Buchholz AL, Tumialán LM, Turner JD, Michalopoulos GD, Sherrod BA, Agarwal N, Chou D, Haid RW, Mummaneni PV. Do comorbid self-reported depression and anxiety influence outcomes following surgery for cervical spondylotic myelopathy? J Neurosurg Spine 2023; 39:11-27. [PMID: 37021762 DOI: 10.3171/2023.2.spine22685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 02/20/2023] [Indexed: 04/03/2023]
Abstract
OBJECTIVE Depression and anxiety are associated with inferior outcomes following spine surgery. In this study, the authors examined whether patients with cervical spondylotic myelopathy (CSM) who have both self-reported depression (SRD) and self-reported anxiety (SRA) have worse postoperative patient-reported outcomes (PROs) compared with patients who have only one or none of these comorbidities. METHODS This study is a retrospective analysis of prospectively collected data from the Quality Outcomes Database CSM cohort. Comparisons were made among patients who reported the following: 1) either SRD or SRA, 2) both SRD and SRA, or 3) neither comorbidity at baseline. PROs at 3, 12, and 24 months (scores for the visual analog scale [VAS] for neck pain and arm pain, Neck Disability Index [NDI], modified Japanese Orthopaedic Association [mJOA] scale, EQ-5D, EuroQol VAS [EQ-VAS], and North American Spine Society [NASS] patient satisfaction index) and achievement of respective PRO minimal clinically important differences (MCIDs) were compared. RESULTS Of the 1141 included patients, 199 (17.4%) had either SRD or SRA alone, 132 (11.6%) had both SRD and SRA, and 810 (71.0%) had neither. Preoperatively, patients with either SRD or SRA alone had worse scores for VAS neck pain (5.6 ± 3.1 vs 5.1 ± 3.3, p = 0.03), NDI (41.0 ± 19.3 vs 36.8 ± 20.8, p = 0.007), EQ-VAS (57.0 ± 21.0 vs 60.7 ± 21.7, p = 0.03), and EQ-5D (0.53 ± 0.23 vs 0.58 ± 0.21, p = 0.008) than patients without such disorders. Postoperatively, in multivariable adjusted analyses, baseline SRD or SRA alone was associated with inferior improvement in the VAS neck pain score and a lower rate of achieving the MCID for VAS neck pain score at 3 and 12 months, but not at 24 months. At 24 months, patients with SRD or SRA alone experienced less change in EQ-5D scores and were less likely to meet the MCID for EQ-5D than patients without SRD or SRA. Furthermore, patient self-reporting of both psychological comorbidities did not impact PROs at all measured time points compared with self-reporting of only one psychological comorbidity alone. Each cohort (SRD or SRA alone, both SRD and SRA, and neither SRD nor SRA) experienced significant improvements in mean PROs at all measured time points compared with baseline (p < 0.05). CONCLUSIONS Approximately 12% of patients who underwent surgery for CSM presented with both SRD and SRA, and 29% presented with at least one symptom. The presence of either SRD or SRA was independently associated with inferior scores for 3- and 12-month neck pain following surgery, but this difference was not significant at 24 months. However, at long-term follow-up, patients with SRD or SRA experienced lower quality of life than patients without SRD or SRA. The comorbid presence of both depression and anxiety was not associated with worse patient outcomes than either diagnosis alone.
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Affiliation(s)
- Andrew K Chan
- 1Department of Neurological Surgery, Columbia University, The Och Spine Hospital at NewYork/Presbyterian, New York, New York
| | | | - Christine Park
- 2Department of Neurosurgery, Duke University, Durham, North Carolina
| | - Oren N Gottfried
- 2Department of Neurosurgery, Duke University, Durham, North Carolina
| | - Khoi D Than
- 2Department of Neurosurgery, Duke University, Durham, North Carolina
| | - Erica F Bisson
- 3Department of Neurological Surgery, University of Utah, Salt Lake City, Utah
| | - Mohamad Bydon
- 4Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Anthony L Asher
- 5Neuroscience Institute, Carolinas Healthcare System and Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina
| | - Domagoj Coric
- 5Neuroscience Institute, Carolinas Healthcare System and Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina
| | - Eric A Potts
- 6Goodman Campbell Brain and Spine, Indianapolis, Indiana
| | - Kevin T Foley
- 7Department of Neurosurgery, University of Tennessee, Semmes-Murphey Neurologic and Spine Institute, Memphis, Tennessee
| | - Michael Y Wang
- 8Department of Neurological Surgery, University of Miami, Florida
| | - Kai-Ming Fu
- 9Department of Neurosurgery, Weill Cornell Medical Center, New York, New York
| | - Michael S Virk
- 9Department of Neurosurgery, Weill Cornell Medical Center, New York, New York
| | - John J Knightly
- 10Atlantic Neurosurgical Specialists, Morristown, New Jersey
| | - Scott Meyer
- 10Atlantic Neurosurgical Specialists, Morristown, New Jersey
| | - Paul Park
- 7Department of Neurosurgery, University of Tennessee, Semmes-Murphey Neurologic and Spine Institute, Memphis, Tennessee
- 11Department of Neurological Surgery, University of Michigan, Ann Arbor, Michigan
| | - Cheerag D Upadhyaya
- 12Marion Bloch Neuroscience Institute, Saint Luke's Health System, Kansas City, Missouri
| | - Mark E Shaffrey
- 13Department of Neurosurgery, University of Virginia, Charlottesville, Virginia
| | - Avery L Buchholz
- 13Department of Neurosurgery, University of Virginia, Charlottesville, Virginia
| | | | - Jay D Turner
- 14Barrow Neurological Institute, Phoenix, Arizona
| | | | - Brandon A Sherrod
- 3Department of Neurological Surgery, University of Utah, Salt Lake City, Utah
| | - Nitin Agarwal
- 15Department of Neurological Surgery, University of California, San Francisco, California; and
| | - Dean Chou
- 1Department of Neurological Surgery, Columbia University, The Och Spine Hospital at NewYork/Presbyterian, New York, New York
| | - Regis W Haid
- 16Atlanta Brain and Spine Care, Atlanta, Georgia
| | - Praveen V Mummaneni
- 15Department of Neurological Surgery, University of California, San Francisco, California; and
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Browd SR, Park C, Donoho DA. Potential Applications of Artificial Intelligence and Machine Learning in Spine Surgery Across the Continuum of Care. Int J Spine Surg 2023:8507. [PMID: 37291063 DOI: 10.14444/8507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023] Open
Abstract
The worlds of spinal surgery and computational science are intersecting at the nexus of the operating room and across the continuum of patient care. As medicine moves toward digitizing all aspects of a patient's care, immense amounts of patient data generated and aggregated across surgeons, procedures, and institutions will enable previously inaccessible computationally driven insights. These early insights from artificial intelligence (AI) and machine learning (ML)-enabled technologies are beginning to transform medicine and surgery. The complex pathologies facing spine surgeons and their patients require integrative, multimodal, data-driven management strategies. As these data and the technological tools to computationally process them become increasingly available to spine surgeons, AI and ML methods will inform patient selection, preoperatively risk-stratify patients based on myriad factors, and inform interoperative surgical decisions. Once these tools enter early clinical practice, their use creates a virtual flywheel whereby the use of these tools generates additional data that further accelerate the evolution of computational "knowledge" systems. At this digital crossroads, interested and motivated surgeons have an opportunity to understand these technologies, guide their application toward optimal care, and advocate for opportunities where these powerful new tools can deliver step changes in efficiency, accuracy, and intelligence. In the present article, we review the nomenclature and basics of AI and ML and highlight the current and future applications of these technologies across the care continuum of spinal surgery.
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Affiliation(s)
- Samuel R Browd
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Christine Park
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Daniel A Donoho
- Division of Neurological Surgery, Center for Neuroscience and Behavior, Children's National Hospital, Washington, DC, USA
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Bishop J, Rogachev GV, Ahn S, Barbui M, Cha SM, Harris E, Hunt C, Kim CH, Kim D, Kim SH, Koshchiy E, Luo Z, Park C, Parker CE, Pollacco EC, Roeder BT, Roosa M, Saastamoinen A, Scriven DP. First Observation of the β3αp Decay of ^{13}O via β-Delayed Charged-Particle Spectroscopy. Phys Rev Lett 2023; 130:222501. [PMID: 37327448 DOI: 10.1103/physrevlett.130.222501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 04/25/2023] [Accepted: 05/11/2023] [Indexed: 06/18/2023]
Abstract
The β-delayed proton decay of ^{13}O has previously been studied, but the direct observation of β-delayed 3αp decay has not been reported. Rare 3αp events from the decay of excited states in ^{13}N^{⋆} provide a sensitive probe of cluster configurations in ^{13}N. To measure the low-energy products following β-delayed 3αp decay, the Texas Active Target (TexAT) time projection chamber was employed using the one-at-a-time β-delayed charged-particle spectroscopy technique at the Cyclotron Institute, Texas A&M University. A total of 1.9×10^{5} ^{13}O implantations were made inside the TexAT time projection chamber. A total of 149 3αp events were observed, yielding a β-delayed 3αp branching ratio of 0.078(6)%. Four previously unknown α-decaying excited states were observed in ^{13}N at 11.3, 12.4, 13.1, and 13.7 MeV decaying via the 3α+p channel.
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Affiliation(s)
- J Bishop
- Cyclotron Institute, Texas A&M University, College Station, Texas 77843, USA
| | - G V Rogachev
- Cyclotron Institute, Texas A&M University, College Station, Texas 77843, USA
- Department of Physics and Astronomy, Texas A&M University, College Station, Texas 77843, USA
- Nuclear Solutions Institute, Texas A&M University, College Station, Texas 77843, USA
| | - S Ahn
- Center for Exotic Nuclear Studies, Institute for Basic Science, 34126 Daejeon, Republic of Korea
| | - M Barbui
- Cyclotron Institute, Texas A&M University, College Station, Texas 77843, USA
| | - S M Cha
- Center for Exotic Nuclear Studies, Institute for Basic Science, 34126 Daejeon, Republic of Korea
| | - E Harris
- Cyclotron Institute, Texas A&M University, College Station, Texas 77843, USA
- Department of Physics and Astronomy, Texas A&M University, College Station, Texas 77843, USA
| | - C Hunt
- Cyclotron Institute, Texas A&M University, College Station, Texas 77843, USA
- Department of Physics and Astronomy, Texas A&M University, College Station, Texas 77843, USA
| | - C H Kim
- Department of Physics, Sungkyunkwan University (SKKU), Seoul 16419, Republic of Korea
| | - D Kim
- Center for Exotic Nuclear Studies, Institute for Basic Science, 34126 Daejeon, Republic of Korea
| | - S H Kim
- Department of Physics, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - E Koshchiy
- Cyclotron Institute, Texas A&M University, College Station, Texas 77843, USA
| | - Z Luo
- Cyclotron Institute, Texas A&M University, College Station, Texas 77843, USA
- Department of Physics and Astronomy, Texas A&M University, College Station, Texas 77843, USA
| | - C Park
- Center for Exotic Nuclear Studies, Institute for Basic Science, 34126 Daejeon, Republic of Korea
| | - C E Parker
- Cyclotron Institute, Texas A&M University, College Station, Texas 77843, USA
| | - E C Pollacco
- IRFU, CEA, Université Paris-Saclay, Gif-Sur-Yvette 91190, France
| | - B T Roeder
- Cyclotron Institute, Texas A&M University, College Station, Texas 77843, USA
| | - M Roosa
- Cyclotron Institute, Texas A&M University, College Station, Texas 77843, USA
- Department of Physics and Astronomy, Texas A&M University, College Station, Texas 77843, USA
| | - A Saastamoinen
- Cyclotron Institute, Texas A&M University, College Station, Texas 77843, USA
| | - D P Scriven
- Cyclotron Institute, Texas A&M University, College Station, Texas 77843, USA
- Department of Physics and Astronomy, Texas A&M University, College Station, Texas 77843, USA
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Park C, Mummaneni PV, Gottfried ON, Shaffrey CI, Tang AJ, Bisson EF, Asher AL, Coric D, Potts EA, Foley KT, Wang MY, Fu KM, Virk MS, Knightly JJ, Meyer S, Park P, Upadhyaya C, Shaffrey ME, Buchholz AL, Tumialán LM, Turner JD, Sherrod BA, Agarwal N, Chou D, Haid RW, Bydon M, Chan AK. Which supervised machine learning algorithm can best predict achievement of minimum clinically important difference in neck pain after surgery in patients with cervical myelopathy? A QOD study. Neurosurg Focus 2023; 54:E5. [PMID: 37283449 DOI: 10.3171/2023.3.focus2372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 03/22/2023] [Indexed: 06/08/2023]
Abstract
OBJECTIVE The purpose of this study was to evaluate the performance of different supervised machine learning algorithms to predict achievement of minimum clinically important difference (MCID) in neck pain after surgery in patients with cervical spondylotic myelopathy (CSM). METHODS This was a retrospective analysis of the prospective Quality Outcomes Database CSM cohort. The data set was divided into an 80% training and a 20% test set. Various supervised learning algorithms (including logistic regression, support vector machine, decision tree, random forest, extra trees, gaussian naïve Bayes, k-nearest neighbors, multilayer perceptron, and extreme gradient boosted trees) were evaluated on their performance to predict achievement of MCID in neck pain at 3 and 24 months after surgery, given a set of predicting baseline features. Model performance was assessed with accuracy, F1 score, area under the receiver operating characteristic curve, precision, recall/sensitivity, and specificity. RESULTS In total, 535 patients (46.9%) achieved MCID for neck pain at 3 months and 569 patients (49.9%) achieved it at 24 months. In each follow-up cohort, 501 patients (93.6%) were satisfied at 3 months after surgery and 569 patients (100%) were satisfied at 24 months after surgery. Of the supervised machine learning algorithms tested, logistic regression demonstrated the best accuracy (3 months: 0.76 ± 0.031, 24 months: 0.773 ± 0.044), followed by F1 score (3 months: 0.759 ± 0.019, 24 months: 0.777 ± 0.039) and area under the receiver operating characteristic curve (3 months: 0.762 ± 0.027, 24 months: 0.773 ± 0.043) at predicting achievement of MCID for neck pain at both follow-up time points, with fair performance. The best precision was also demonstrated by logistic regression at 3 (0.724 ± 0.058) and 24 (0.780 ± 0.097) months. The best recall/sensitivity was demonstrated by multilayer perceptron at 3 months (0.841 ± 0.094) and by extra trees at 24 months (0.817 ± 0.115). Highest specificity was shown by support vector machine at 3 months (0.952 ± 0.013) and by logistic regression at 24 months (0.747 ± 0.18). CONCLUSIONS Appropriate selection of models for studies should be based on the strengths of each model and the aims of the studies. For maximally predicting true achievement of MCID in neck pain, of all the predictions in this balanced data set the appropriate metric for the authors' study was precision. For both short- and long-term follow-ups, logistic regression demonstrated the highest precision of all models tested. Logistic regression performed consistently the best of all models tested and remains a powerful model for clinical classification tasks.
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Affiliation(s)
- Christine Park
- 1Department of Neurosurgery, Duke University, Durham, North Carolina
| | - Praveen V Mummaneni
- 2Department of Neurosurgery, University of California, San Francisco, California
| | - Oren N Gottfried
- 1Department of Neurosurgery, Duke University, Durham, North Carolina
| | | | - Anthony J Tang
- 3Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons, The Och Spine Hospital at NewYork-Presbyterian, New York, New York
| | - Erica F Bisson
- 4Department of Neurosurgery, University of Utah, Salt Lake City, Utah
| | - Anthony L Asher
- 5Neuroscience Institute, Carolinas Healthcare System and Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina
| | - Domagoj Coric
- 5Neuroscience Institute, Carolinas Healthcare System and Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina
| | - Eric A Potts
- 6Goodman Campbell Brain and Spine, Indianapolis, Indiana
| | - Kevin T Foley
- 7Department of Neurosurgery, University of Tennessee, Semmes-Murphey Neurologic and Spine Institute, Memphis, Tennessee
| | - Michael Y Wang
- 8Department of Neurosurgery, University of Miami, Florida
| | - Kai-Ming Fu
- 9Department of Neurosurgery, Weill Cornell Medical Center, New York, New York
| | - Michael S Virk
- 9Department of Neurosurgery, Weill Cornell Medical Center, New York, New York
| | - John J Knightly
- 10Atlantic Neurosurgical Specialists, Morristown, New Jersey
| | - Scott Meyer
- 10Atlantic Neurosurgical Specialists, Morristown, New Jersey
| | - Paul Park
- 11Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan
| | - Cheerag Upadhyaya
- 12Marion Bloch Neuroscience Institute, Saint Luke's Health System, Kansas City, Missouri
| | - Mark E Shaffrey
- 13Department of Neurosurgery, University of Virginia, Charlottesville, Virginia
| | - Avery L Buchholz
- 13Department of Neurosurgery, University of Virginia, Charlottesville, Virginia
| | | | - Jay D Turner
- 14Barrow Neurological Institute, Phoenix, Arizona
| | - Brandon A Sherrod
- 4Department of Neurosurgery, University of Utah, Salt Lake City, Utah
| | - Nitin Agarwal
- 15Department of Neurosurgery, Washington University in St. Louis, Missouri
| | - Dean Chou
- 3Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons, The Och Spine Hospital at NewYork-Presbyterian, New York, New York
| | - Regis W Haid
- 16Atlanta Brain and Spine Care, Atlanta, Georgia; and
| | - Mohamad Bydon
- 17Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Andrew K Chan
- 3Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons, The Och Spine Hospital at NewYork-Presbyterian, New York, New York
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Yue JK, Krishnan N, Andrews JP, Semonche AM, Deng H, Aabedi AA, Wang AS, Caldwell DJ, Park C, Hirschhorn M, Ghoussaini KT, Oh T, Sun PP. Update on Pediatric Mild Traumatic Brain Injury in Rural and Underserved Regions: A Global Perspective. J Clin Med 2023; 12:jcm12093309. [PMID: 37176749 PMCID: PMC10179657 DOI: 10.3390/jcm12093309] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 04/29/2023] [Accepted: 05/05/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND Mild traumatic brain injury (MTBI) causes morbidity and disability worldwide. Pediatric patients are uniquely vulnerable due to developmental and psychosocial factors. Reduced healthcare access in rural/underserved communities impair management and outcome. A knowledge update relevant to current gaps in care is critically needed to develop targeted solutions. METHODS The National Library of Medicine PubMed database was queried using comprehensive search terms (("mild traumatic brain injury" or "concussion") and ("rural" or "low-income" or "underserved") and ("pediatric" or "child/children")) in the title, abstract, and Medical Subject Headings through December 2022. Fifteen articles on rural/underserved pediatric MTBI/concussion not covered in prior reviews were examined and organized into four topical categories: epidemiology, care practices, socioeconomic factors, and telehealth. RESULTS Incidences are higher for Individuals in rural regions, minorities, and those aged 0-4 years compared to their counterparts, and are increasing over time. Rural healthcare utilization rates generally exceed urban rates, and favor emergency departments (vs. primary care) for initial injury assessment. Management guidelines require customization to resource-constrained settings for implementation and adoption. Decreased community recognition of the seriousness of injury is a consensus challenge to care provision by clinicians. Low parental education and income were correlated with decreased MTBI knowledge and worse outcome. Telehealth protocols for triage/consultation and rehabilitation were feasible in improving care delivery to rural and remote settings. CONCLUSIONS Pediatric MTBI/concussion patients in rural/underserved regions experience increased risks of injury, geographic and financial healthcare barriers, and poorer outcomes. Globally, under-reporting of injury has hindered epidemiological understanding. Ongoing MTBI education should be implemented for rural caregivers, schools, and low-income populations to improve community awareness. Telehealth can improve care delivery across acuity settings, and warrants judicious inclusion in triage and treatment protocols.
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Affiliation(s)
- John K Yue
- Department of Neurosurgery, Division of Pediatric Neurosurgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Nishanth Krishnan
- Department of Neurosurgery, Division of Pediatric Neurosurgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - John P Andrews
- Department of Neurosurgery, Division of Pediatric Neurosurgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Alexa M Semonche
- Department of Neurosurgery, Division of Pediatric Neurosurgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Hansen Deng
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - Alexander A Aabedi
- Department of Neurosurgery, Division of Pediatric Neurosurgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Albert S Wang
- Department of Neurosurgery, Division of Pediatric Neurosurgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - David J Caldwell
- Department of Neurosurgery, Division of Pediatric Neurosurgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Christine Park
- Department of Neurosurgery, Duke University, Durham, NC 27708, USA
| | - Melessa Hirschhorn
- Department of Neurosurgery, Division of Pediatric Neurosurgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Kristen T Ghoussaini
- Department of Neurosurgery, Division of Pediatric Neurosurgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Taemin Oh
- Department of Neurosurgery, University of Utah, Salt Lake City, UT 84132, USA
| | - Peter P Sun
- Department of Neurosurgery, Division of Pediatric Neurosurgery, University of California San Francisco, San Francisco, CA 94143, USA
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Vargas E, Shabani S, Mummaneni PV, Park C, Rechav Ben-Natan A, Rivera JJ, Huang J, Berven S, Braunstein S, Chou D. Does surgery for metastatic spinal tumors improve functional outcomes in patients without spinal cord compression but with potentially unstable spines? J Neurosurg Spine 2023:1-8. [PMID: 37148234 DOI: 10.3171/2023.3.spine221120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 03/21/2023] [Indexed: 05/08/2023]
Abstract
OBJECTIVE In the absence of spinal cord compression, it is unclear if surgery is more effective than radiation treatment for improving functional outcomes in metastatic spinal tumor patients with potentially unstable spines. The authors compared functional status outcomes assessed with Karnofsky Performance Status (KPS) and Eastern Cooperative Oncology Group (ECOG) scores after surgery or radiation in patients without spinal cord compression with Spine Instability Neoplastic Score (SINS) values of 7-12 indicating possible instability (SINS 7-12). METHODS A retrospective review was performed of patients with metastatic spinal tumor SINS values of 7-12 at a single institution between 2004 and 2014. Patients were divided into two different groups: 1) those treated with surgery and 2) those treated with radiation. Baseline clinical characteristics were measured, and KPS and ECOG scores were obtained pre- and postradiation or postsurgery. The paired, nonparametric Wilcoxon signed-rank test and ordinal logistic regression analysis were used for statistical analysis. RESULTS A total of 162 patients met inclusion criteria; 63 patients were treated operatively and 99 patients were treated with radiation. The mean follow-up was 1.9 years, with a median of 1.1 years for the surgical cohort (ranging from 2.5 months to 13.8 years) and a mean of 2 years with a median of 0.8 years for the radiation cohort (ranging from 2 months to 9.3 years). After covariates were accounted for, the average posttreatment changes in KPS scores in the surgical cohort were 7.46 ± 17.3 and in the radiation cohort were -2 ± 13.6 (p = 0.045). No significant difference was observed in ECOG scores. KPS scores improved postoperatively in 60.3% of patients in the surgical group and postradiation in 32.3% of patients in the radiation cohort (p < 0.001). Subanalysis within the radiation cohort revealed no differences in fracture rates or local control between patients treated with external-beam radiation therapy versus stereotactic body radiation therapy. In patients initially treated with radiation, 21.2% eventually developed compression fractures at a treated level. Five of the 99 patients in the radiation cohort-all of whom had a fracture-eventually underwent either methyl methacrylate augmentation or instrumented fusion. CONCLUSIONS Patients with SINS values of 7-12 who underwent surgery had greater improvement in KPS scores-but not in ECOG scores-than patients undergoing radiation alone. In patients treated with radiation, treatment was converted to a procedural intervention such as surgery only in patients who sustained fractures. Of the patients with fractures after radiation (21 of 99), 5 patients underwent an invasive procedure and 16 did not.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Steve Braunstein
- 3Radiation Oncology, University of California, San Francisco, California; and
| | - Dean Chou
- Departments of1Neurological Surgery
- 4Department of Neurological Surgery, Columbia University, New York, New York
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31
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Nozari Y, Park C, Brietzke E, Iacobucci M, Gill H, McIntyre RS. Correlation between improved leptin signaling and cognitive function post bariatric surgery. J Affect Disord 2023; 326:225-231. [PMID: 36736790 DOI: 10.1016/j.jad.2023.01.100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 01/23/2023] [Accepted: 01/27/2023] [Indexed: 02/04/2023]
Abstract
Determining whether changes in leptin signaling plays a role in the improvement of cognitive function post-bariatric surgery may aid in the understanding and development of novel therapeutic approaches targeting cognitive dysfunction through the greater understanding of processes connecting obesity and brain health. Several studies have explored the effects of cognition post bariatric surgery, and others have studied leptin and its changes post surgery. However the amalgamation of the effects of leptin signaling in relation to cognition post bariatric surgery have yet to be considered as key tools in the understanding of cognitive dysfunction in obese subjects with leptin resistance or insensitivity. This review serves to highlight the potential correlations, to further elucidate the effect of improved leptin signaling on cognition post bariatric surgery, and to propose a direct cause for the improvement of cognitive function via the amelioration of the leptin Janus kinase/Signal transducer and activator of transcription (JAK/STAT) signaling pathway as a result of the reversal of inflammatory processes involved in diseased individuals.
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Affiliation(s)
- Y Nozari
- Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, Toronto, ON, Canada; University of Toronto HBSc, Toronto, ON, Canada.
| | - C Park
- Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, Toronto, ON, Canada; University of Toronto MSc, Toronto, ON, Canada
| | - E Brietzke
- Department of Psychiatry, Queen's University School of Medicine, Kingston, ON, Canada; Centre for Neuroscience Studies (CNS), Queen's University, Kingston, ON, Canada
| | - M Iacobucci
- Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, Toronto, ON, Canada; University of Toronto HBSc, Toronto, ON, Canada
| | - H Gill
- Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - R S McIntyre
- Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, Toronto, ON, Canada; Department of Pharmacology, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Brain and Cognition Discovery Foundation, Toronto, ON, Canada
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32
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Vassallo J, Cowburn P, Park C, Bull D, Harris S, Moran C, Smith J. Ten second triage: A novel and pragmatic approach to major incident triage. Trauma 2023. [DOI: 10.1177/14604086231156219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Abstract
Triage is a key principle in the effective management of major incidents and has traditionally been performed using an assessment of a casualty's physiology. However, it has become apparent from recent experiences of major incidents that physiological triage may practically not be possible, especially in the early stages of an incident. A key factor is the speed with which it is possible to perform triage, and subsequently, the speed at which key life-saving interventions (e.g., management of external haemorrhage and airway opening manoeuvres) are able to be performed simultaneously as part of the triage process. Addressing this issue was a priority for the review of major incident triage undertaken by NHS England and culminated in the development of the Ten Second Triage (TST) tool.
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Affiliation(s)
- J. Vassallo
- Institute of Naval Medicine, Gosport, UK
- Academic Department of Military Emergency Medicine, Royal Centre for Defence Medicine, Birmingham, UK
| | - P. Cowburn
- Emergency Department, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- South Western Ambulance Service NHS Foundation Trust, North Bristol Operations Centre, Bristol, UK
- National Ambulance Resilience Unit (NARU), College of Policing, UK
| | - C. Park
- Academic Department of Military Anaesthesia & Critical Care, Royal Centre for Defence Medicine, Birmingham, UK
- Department of Anaesthesia and Critical Care, Kings College Hospital, London, UK
| | - D. Bull
- National Ambulance Resilience Unit (NARU), College of Policing, UK
| | - S. Harris
- London Ambulance Service, London, UK
| | - C.G. Moran
- NHS England London, London, UK
- Department of Trauma and Orthopaedics, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - J.E. Smith
- Academic Department of Military Emergency Medicine, Royal Centre for Defence Medicine, Birmingham, UK
- Emergency Department, University Hospitals Plymouth NHS Trust, Plymouth, UK
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Cook CE, George SZ, Lentz T, Park C, Shaffrey CI, Goodwin CR, Than KD, Gottfried ON. High-Impact Chronic Pain Transition in Lumbar Surgery Recipients. Pain Med 2023; 24:258-268. [PMID: 36200873 DOI: 10.1093/pm/pnac150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 08/07/2022] [Accepted: 08/11/2022] [Indexed: 11/12/2022]
Abstract
OBJECTIVE High-impact chronic pain (HICP) is a term that characterizes the presence of a severe and troubling pain-related condition. To date, the prevalence of HICP in lumbar spine surgery recipients and their HICP transitions from before to after surgery are unexplored. The purpose was to define HICP prevalence, transition types, and outcomes in lumbar spine surgery recipients and to identify predictors of HICP outcomes. METHODS In total, 43,536 lumbar surgery recipients were evaluated for HICP transition. Lumbar spine surgery recipients were categorized as having HICP preoperatively and at 3 months after surgery if they exhibited chronic and severe pain and at least one major activity limitation. Four HICP transition groups (Stable Low Pain, Transition from HICP, Transition to HICP, and Stable High Pain) were categorized and evaluated for outcomes. Multivariate multinomial modeling was used to predict HICP transition categorization. RESULTS In this sample, 15.1% of individuals exhibited HICP preoperatively; this value declined to 5.1% at 3 months after surgery. Those with HICP at baseline and 3 months had more comorbidities and worse overall outcomes. Biological, psychological, and social factors predicted HICP transition or Stable High Pain; some of the strongest involved social factors of 2 or more to transition to HICP (OR = 1.43; 95% CI = 1.21-1.68), and baseline report of pain/disability (OR = 3.84; 95% CI = 3.20-4.61) and psychological comorbidity (OR = 1.78; 95% CI = 1.48-2.12) to Stable Stable High Pain. CONCLUSION The percentage of individuals with HICP preoperatively (15.1%) was low, which further diminished over a 3-month period (5.1%). Postoperative HICP groups had higher levels of comorbidities and worse baseline outcomes scores. Transition to and maintenance of HICP status was predicted by biological, psychological, and social factors.
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Affiliation(s)
- Chad E Cook
- Department of Orthopaedics, Duke University, Durham, North Carolina.,Duke Clinical Research Institute, Duke University, Durham, North Carolina.,Department of Population Health Sciences, Duke University, Durham, North Carolina
| | - Steven Z George
- Department of Orthopaedics, Duke University, Durham, North Carolina.,Duke Clinical Research Institute, Duke University, Durham, North Carolina
| | - Trevor Lentz
- Department of Orthopaedics, Duke University, Durham, North Carolina.,Duke Clinical Research Institute, Duke University, Durham, North Carolina
| | - Christine Park
- Department of Neurosurgery, Duke University, Durham, North Carolina, USA
| | - Christopher I Shaffrey
- Department of Orthopaedics, Duke University, Durham, North Carolina.,Department of Neurosurgery, Duke University, Durham, North Carolina, USA
| | - C Rory Goodwin
- Department of Neurosurgery, Duke University, Durham, North Carolina, USA
| | - Khoi D Than
- Department of Neurosurgery, Duke University, Durham, North Carolina, USA
| | - Oren N Gottfried
- Department of Neurosurgery, Duke University, Durham, North Carolina, USA
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34
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Park C, Schappe T, Peskoe S, Mohottige D, Chan NW, Bhavsar NA, Boulware LE, Pendergast J, Kirk AD, McElroy LM. A comparison of deprivation indices and application to transplant populations. Am J Transplant 2023; 23:377-386. [PMID: 36695687 DOI: 10.1016/j.ajt.2022.11.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 10/25/2022] [Accepted: 11/26/2022] [Indexed: 01/13/2023]
Abstract
The choice of deprivation index can influence conclusions drawn regarding the extent of deprivation within a community and the identification of the most deprived communities in the United States. This study aimed to determine the degree of correlation among deprivation indices commonly used to characterize transplant populations. We used a retrospective cohort consisting of adults listed for liver or kidney transplants between 2008 and 2018 to compare 4 deprivation indices: neighborhood deprivation index, social deprivation index (SDI), area deprivation index, and social vulnerability index. Pairwise correlation between deprivation indices by transplant referral regions was measured using Spearman correlations of population-weighted medians and upper quartiles. In total, 52 individual variables were used among the 4 deprivation indices with 25% overlap. For both organs, the correlation between the population-weighted 75th percentile of the deprivation indices by transplant referral region was highest between SDI and social vulnerability index (liver and kidney, 0.93) and lowest between area deprivation index and SDI (liver, 0.19 and kidney, 0.15). The choice of deprivation index affects the applicability of research findings across studies examining the relationship between social risk and clinical outcomes. Appropriate application of these measures to transplant populations requires careful index selection based on the intended use and included variable relevance.
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Affiliation(s)
- Christine Park
- Division of Abdominal Transplant, Department of Surgery, Duke University, Durham, NC, USA
| | - Tyler Schappe
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Sarah Peskoe
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Dinushika Mohottige
- Division of Nephrology, Department of Internal Medicine, Duke University, Duke University, Durham, NC, USA
| | - Norine W Chan
- Division of Abdominal Transplant, Department of Surgery, Duke University, Durham, NC, USA
| | - Nrupen A Bhavsar
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA; Division of General Internal Medicine, Department of Medicine, Duke University, Duke University, Durham, NC, USA
| | - L Ebony Boulware
- Division of General Internal Medicine, Department of Medicine, Duke University, Duke University, Durham, NC, USA
| | - Jane Pendergast
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Allan D Kirk
- Division of Abdominal Transplant, Department of Surgery, Duke University, Durham, NC, USA
| | - Lisa M McElroy
- Division of Abdominal Transplant, Department of Surgery, Duke University, Durham, NC, USA; Department of Population Health Sciences, Duke University, Duke University, Durham, NC, USA.
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35
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Chan AK, Shaffrey CI, Gottfried ON, Park C, Than KD, Bisson EF, Bydon M, Asher AL, Coric D, Potts EA, Foley KT, Wang MY, Fu KM, Virk MS, Knightly JJ, Meyer S, Park P, Upadhyaya C, Shaffrey ME, Buchholz AL, Tumialán LM, Turner JD, Michalopoulos GD, Sherrod BA, Agarwal N, Chou D, Haid RW, Mummaneni PV. Cervical spondylotic myelopathy with severe axial neck pain: is anterior or posterior approach better? J Neurosurg Spine 2023; 38:42-55. [PMID: 36029264 DOI: 10.3171/2022.6.spine22110] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 06/23/2022] [Indexed: 01/04/2023]
Abstract
OBJECTIVE The aim of this study was to determine whether multilevel anterior cervical discectomy and fusion (ACDF) or posterior cervical laminectomy and fusion (PCLF) is superior for patients with cervical spondylotic myelopathy (CSM) and high preoperative neck pain. METHODS This was a retrospective study of prospectively collected data using the Quality Outcomes Database (QOD) CSM module. Patients who received a subaxial fusion of 3 or 4 segments and had a visual analog scale (VAS) neck pain score of 7 or greater at baseline were included. The 3-, 12-, and 24-month outcomes were compared for patients undergoing ACDF with those undergoing PCLF. RESULTS Overall, 1141 patients with CSM were included in the database. Of these, 495 (43.4%) presented with severe neck pain (VAS score > 6). After applying inclusion and exclusion criteria, we compared 65 patients (54.6%) undergoing 3- and 4-level ACDF and 54 patients (45.4%) undergoing 3- and 4-level PCLF. Patients undergoing ACDF had worse Neck Disability Index scores at baseline (52.5 ± 15.9 vs 45.9 ± 16.8, p = 0.03) but similar neck pain (p > 0.05). Otherwise, the groups were well matched for the remaining baseline patient-reported outcomes. The rates of 24-month follow-up for ACDF and PCLF were similar (86.2% and 83.3%, respectively). At the 24-month follow-up, both groups demonstrated mean improvements in all outcomes, including neck pain (p < 0.05). In multivariable analyses, there was no significant difference in the degree of neck pain change, rate of neck pain improvement, rate of pain-free achievement, and rate of reaching minimal clinically important difference (MCID) in neck pain between the two groups (adjusted p > 0.05). However, ACDF was associated with a higher 24-month modified Japanese Orthopaedic Association scale (mJOA) score (β = 1.5 [95% CI 0.5-2.6], adjusted p = 0.01), higher EQ-5D score (β = 0.1 [95% CI 0.01-0.2], adjusted p = 0.04), and higher likelihood for return to baseline activities (OR 1.2 [95% CI 1.1-1.4], adjusted p = 0.002). CONCLUSIONS Severe neck pain is prevalent among patients undergoing surgery for CSM, affecting more than 40% of patients. Both ACDF and PCLF achieved comparable postoperative neck pain improvement 3, 12, and 24 months following 3- or 4-segment surgery for patients with CSM and severe neck pain. However, multilevel ACDF was associated with superior functional status, quality of life, and return to baseline activities at 24 months in multivariable adjusted analyses.
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Affiliation(s)
- Andrew K Chan
- 1Department of Neurosurgery, Duke University, Durham, North Carolina
| | | | - Oren N Gottfried
- 1Department of Neurosurgery, Duke University, Durham, North Carolina
| | - Christine Park
- 1Department of Neurosurgery, Duke University, Durham, North Carolina
| | - Khoi D Than
- 1Department of Neurosurgery, Duke University, Durham, North Carolina
| | - Erica F Bisson
- 2Department of Neurological Surgery, University of Utah, Salt Lake City, Utah
| | - Mohamad Bydon
- 3Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Anthony L Asher
- 4Neuroscience Institute, Carolinas Healthcare System and Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina
| | - Domagoj Coric
- 4Neuroscience Institute, Carolinas Healthcare System and Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina
| | - Eric A Potts
- 5Goodman Campbell Brain and Spine, Indianapolis, Indiana
| | - Kevin T Foley
- 6Department of Neurosurgery, University of Tennessee, Semmes-Murphey Neurologic and Spine Institute, Memphis, Tennessee
| | - Michael Y Wang
- 7Department of Neurological Surgery, University of Miami, Florida
| | - Kai-Ming Fu
- 8Department of Neurosurgery, Weill Cornell Medical Center, New York, New York
| | - Michael S Virk
- 8Department of Neurosurgery, Weill Cornell Medical Center, New York, New York
| | | | - Scott Meyer
- 9Atlantic Neurosurgical Specialists, Morristown, New Jersey
| | - Paul Park
- 10Department of Neurological Surgery, University of Michigan, Ann Arbor, Michigan
| | - Cheerag Upadhyaya
- 11Marion Bloch Neuroscience Institute, Saint Luke's Health System, Kansas City, Missouri
| | - Mark E Shaffrey
- 12Department of Neurosurgery, University of Virginia, Charlottesville, Virginia
| | - Avery L Buchholz
- 12Department of Neurosurgery, University of Virginia, Charlottesville, Virginia
| | | | - Jay D Turner
- 13Barrow Neurological Institute, Phoenix, Arizona
| | | | - Brandon A Sherrod
- 2Department of Neurological Surgery, University of Utah, Salt Lake City, Utah
| | - Nitin Agarwal
- 14Department of Neurological Surgery, University of California, San Francisco, California; and
| | - Dean Chou
- 14Department of Neurological Surgery, University of California, San Francisco, California; and
| | - Regis W Haid
- 15Atlanta Brain and Spine Care, Atlanta, Georgia
| | - Praveen V Mummaneni
- 14Department of Neurological Surgery, University of California, San Francisco, California; and
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Chan AK, Bydon M, Bisson EF, Glassman SD, Foley KT, Shaffrey CI, Potts EA, Shaffrey ME, Coric D, Knightly JJ, Park P, Wang MY, Fu KM, Slotkin JR, Asher AL, Virk MS, Michalopoulos GD, Guan J, Haid RW, Agarwal N, Park C, Chou D, Mummaneni PV. Minimally invasive versus open transforaminal lumbar interbody fusion for grade I lumbar spondylolisthesis: 5-year follow-up from the prospective multicenter Quality Outcomes Database registry. Neurosurg Focus 2023; 54:E2. [PMID: 36587409 DOI: 10.3171/2022.10.focus22602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 10/25/2022] [Indexed: 01/02/2023]
Abstract
OBJECTIVE Minimally invasive transforaminal lumbar interbody fusion (MI-TLIF) has been used to treat degenerative lumbar spondylolisthesis and is associated with expedited recovery, reduced operative blood loss, and shorter hospitalizations compared to those with traditional open TLIF. However, the impact of MI-TLIF on long-term patient-reported outcomes (PROs) is less clear. Here, the authors compare the outcomes of MI-TLIF to those of traditional open TLIF for grade I degenerative lumbar spondylolisthesis at 60 months postoperatively. METHODS The authors utilized the prospective Quality Outcomes Database registry and queried for patients with grade I degenerative lumbar spondylolisthesis who had undergone single-segment surgery via an MI or open TLIF method. PROs were compared 60 months postoperatively. The primary outcome was the Oswestry Disability Index (ODI). The secondary outcomes included the numeric rating scale (NRS) for back pain (NRS-BP), NRS for leg pain (NRS-LP), EQ-5D, North American Spine Society (NASS) satisfaction, and cumulative reoperation rate. Multivariable models were constructed to assess the impact of MI-TLIF on PROs, adjusting for variables reaching p < 0.20 on univariable analyses and respective baseline PRO values. RESULTS The study included 297 patients, 72 (24.2%) of whom had undergone MI-TLIF and 225 (75.8%) of whom had undergone open TLIF. The 60-month follow-up rates were similar for the two cohorts (86.1% vs 75.6%, respectively; p = 0.06). Patients did not differ significantly at baseline for ODI, NRS-BP, NRS-LP, or EQ-5D (p > 0.05 for all). Perioperatively, MI-TLIF was associated with less blood loss (108.8 ± 85.6 vs 299.6 ± 242.2 ml, p < 0.001) and longer operations (228.2 ± 111.5 vs 189.6 ± 66.5 minutes, p < 0.001) but had similar lengths of hospitalizations (MI-TLIF 2.9 ± 1.8 vs open TLIF 3.3 ± 1.6 days, p = 0.08). Discharge disposition to home or home health was similar (MI-TLIF 93.1% vs open TLIF 91.1%, p = 0.60). Both cohorts improved significantly from baseline for the 60-month ODI, NRS-BP, NRS-LP, and EQ-5D (p < 0.001 for all comparisons). In adjusted analyses, MI-TLIF, compared to open TLIF, was associated with similar 60-month ODI, ODI change, odds of reaching ODI minimum clinically important difference, NRS-BP, NRS-BP change, NRS-LP, NRS-LP change, EQ-5D, EQ-5D change, and NASS satisfaction (adjusted p > 0.05 for all). The 60-month reoperation rates did not differ significantly (MI-TLIF 5.6% vs open TLIF 11.6%, p = 0.14). CONCLUSIONS For symptomatic, single-level grade I degenerative lumbar spondylolisthesis, MI-TLIF was associated with decreased blood loss perioperatively, but there was no difference in 60-month outcomes for disability, back pain, leg pain, quality of life, or satisfaction between MI and open TLIF. There was no difference in cumulative reoperation rates between the two procedures. These results suggest that in appropriately selected patients, either procedure may be employed depending on patient and surgeon preferences.
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Affiliation(s)
- Andrew K Chan
- 1Department of Neurological Surgery, Columbia University, The Och Spine Hospital at NewYork-Presbyterian, New York, New York
| | - Mohamad Bydon
- 2Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Erica F Bisson
- 3Department of Neurological Surgery, University of Utah, Salt Lake City, Utah
| | - Steven D Glassman
- 4Orthopedic Surgery, Norton Leatherman Spine Center, Louisville, Kentucky
| | - Kevin T Foley
- 5Department of Neurological Surgery, University of Tennessee, Semmes-Murphey Neurologic and Spine Institute, Memphis, Tennessee
| | - Christopher I Shaffrey
- 6Departments of Neurosurgery and Orthopedic Surgery, Duke University, Durham, North Carolina
| | - Eric A Potts
- 7Neurosurgery, Goodman Campbell Brain and Spine, Indianapolis, Indianapolis
| | - Mark E Shaffrey
- 8Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia
| | - Domagoj Coric
- 9Neurosurgery, Neuroscience Institute, Carolinas Healthcare System and Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina
| | - John J Knightly
- 10Neurosurgery, Atlantic Neurosurgical Specialists, Morristown, New Jersey
| | - Paul Park
- 5Department of Neurological Surgery, University of Tennessee, Semmes-Murphey Neurologic and Spine Institute, Memphis, Tennessee
| | - Michael Y Wang
- 11Department of Neurological Surgery, University of Miami, Florida
| | - Kai-Ming Fu
- 12Department of Neurological Surgery, Weill Cornell Medical Center, New York, New York
| | - Jonathan R Slotkin
- 13Neurosurgery, Geisinger Neuroscience Institute, Danville, Pennsylvania
| | - Anthony L Asher
- 9Neurosurgery, Neuroscience Institute, Carolinas Healthcare System and Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina
| | - Michael S Virk
- 12Department of Neurological Surgery, Weill Cornell Medical Center, New York, New York
| | | | - Jian Guan
- 3Department of Neurological Surgery, University of Utah, Salt Lake City, Utah
| | - Regis W Haid
- 14Neurosurgery, Atlanta Brain and Spine Care, Atlanta, Georgia
| | - Nitin Agarwal
- 15Department of Neurological Surgery, University of California, San Francisco, California; and
| | - Christine Park
- 16Duke University School of Medicine, Durham, North Carolina
| | - Dean Chou
- 1Department of Neurological Surgery, Columbia University, The Och Spine Hospital at NewYork-Presbyterian, New York, New York
| | - Praveen V Mummaneni
- 15Department of Neurological Surgery, University of California, San Francisco, California; and
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Han Q, Hung YH, Zhang C, Bartels A, Rea M, Yang H, Park C, Zhang XQ, Fischer RL, Xiao W, Hsieh TF. Loss of linker histone H1 in the maternal genome influences DEMETER-mediated demethylation and affects the endosperm DNA methylation landscape. Front Plant Sci 2022; 13:1070397. [PMID: 36618671 PMCID: PMC9813442 DOI: 10.3389/fpls.2022.1070397] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 12/01/2022] [Indexed: 06/17/2023]
Abstract
The Arabidopsis DEMETER (DME) DNA glycosylase demethylates the central cell genome prior to fertilization. This epigenetic reconfiguration of the female gamete companion cell establishes gene imprinting in the endosperm and is essential for seed viability. DME demethylates small and genic-flanking transposons as well as intergenic and heterochromatin sequences, but how DME is recruited to these loci remains unknown. H1.2 was identified as a DME-interacting protein in a yeast two-hybrid screen, and maternal genome H1 loss affects DNA methylation and expression of selected imprinted genes in the endosperm. Yet, the extent to which H1 influences DME demethylation and gene imprinting in the Arabidopsis endosperm has not been investigated. Here, we showed that without the maternal linker histones, DME-mediated demethylation is facilitated, particularly in the heterochromatin regions, indicating that H1-bound heterochromatins are barriers for DME demethylation. Loss of H1 in the maternal genome has a very limited effect on gene transcription or gene imprinting regulation in the endosperm; however, it variably influences euchromatin TE methylation and causes a slight hypermethylation and a reduced expression in selected imprinted genes. We conclude that loss of maternal H1 indirectly influences DME-mediated demethylation and endosperm DNA methylation landscape but does not appear to affect endosperm gene transcription and overall imprinting regulation.
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Affiliation(s)
- Qiang Han
- Department of Biology, Saint Louis University, St. Louis, MO, United States
| | - Yu-Hung Hung
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States
- Plants for Human Health Institute, North Carolina State University, Kannapolis, NC, United States
| | - Changqing Zhang
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States
- Plants for Human Health Institute, North Carolina State University, Kannapolis, NC, United States
| | - Arthur Bartels
- Department of Biology, Saint Louis University, St. Louis, MO, United States
| | - Matthew Rea
- Department of Biology, Saint Louis University, St. Louis, MO, United States
| | - Hanwen Yang
- Department of Biology, Saint Louis University, St. Louis, MO, United States
| | - Christine Park
- Department of Biology, Saint Louis University, St. Louis, MO, United States
| | - Xiang-Qian Zhang
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States
- Plants for Human Health Institute, North Carolina State University, Kannapolis, NC, United States
- College of Food Science and Engineering, Foshan University, Foshan, China
| | - Robert L. Fischer
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA, United States
| | - Wenyan Xiao
- Department of Biology, Saint Louis University, St. Louis, MO, United States
| | - Tzung-Fu Hsieh
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States
- Plants for Human Health Institute, North Carolina State University, Kannapolis, NC, United States
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38
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Vidula MK, Rajewska-Tabor J, Cao JJ, Kang Y, Craft J, Mei W, Chandrasekaran PS, Clark DE, Poenar AM, Gorecka M, Malahfji M, Cowan E, Kwan JM, Reinhardt SW, Al-Tabatabaee S, Doeblin P, Villa ADM, Karagodin I, Alvi N, Christia P, Spetko N, Cassar MP, Park C, Nambiar L, Turgut A, Azad MR, Lambers M, Wong TC, Salerno M, Kim J, Elliott M, Raman B, Neubauer S, Tsao CW, LaRocca G, Patel AR, Chiribiri A, Kelle S, Baldassarre LA, Shah DJ, Hughes SG, Tong MS, Pyda M, Simonetti OP, Plein S, Han Y. Myocardial Injury on CMR in Patients With COVID-19 and Suspected Cardiac Involvement. JACC Cardiovasc Imaging 2022; 16:609-624. [PMID: 36752429 PMCID: PMC9833283 DOI: 10.1016/j.jcmg.2022.10.021] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 09/05/2022] [Accepted: 10/13/2022] [Indexed: 01/13/2023]
Abstract
BACKGROUND Myocardial injury in patients with COVID-19 and suspected cardiac involvement is not well understood. OBJECTIVES The purpose of this study was to characterize myocardial injury in a multicenter cohort of patients with COVID-19 and suspected cardiac involvement referred for cardiac magnetic resonance (CMR). METHODS This retrospective study consisted of 1,047 patients from 18 international sites with polymerase chain reaction-confirmed COVID-19 infection who underwent CMR. Myocardial injury was characterized as acute myocarditis, nonacute/nonischemic, acute ischemic, and nonacute/ischemic patterns on CMR. RESULTS In this cohort, 20.9% of patients had nonischemic injury patterns (acute myocarditis: 7.9%; nonacute/nonischemic: 13.0%), and 6.7% of patients had ischemic injury patterns (acute ischemic: 1.9%; nonacute/ischemic: 4.8%). In a univariate analysis, variables associated with acute myocarditis patterns included chest discomfort (OR: 2.00; 95% CI: 1.17-3.40, P = 0.01), abnormal electrocardiogram (ECG) (OR: 1.90; 95% CI: 1.12-3.23; P = 0.02), natriuretic peptide elevation (OR: 2.99; 95% CI: 1.60-5.58; P = 0.0006), and troponin elevation (OR: 4.21; 95% CI: 2.41-7.36; P < 0.0001). Variables associated with acute ischemic patterns included chest discomfort (OR: 3.14; 95% CI: 1.04-9.49; P = 0.04), abnormal ECG (OR: 4.06; 95% CI: 1.10-14.92; P = 0.04), known coronary disease (OR: 33.30; 95% CI: 4.04-274.53; P = 0.001), hospitalization (OR: 4.98; 95% CI: 1.55-16.05; P = 0.007), natriuretic peptide elevation (OR: 4.19; 95% CI: 1.30-13.51; P = 0.02), and troponin elevation (OR: 25.27; 95% CI: 5.55-115.03; P < 0.0001). In a multivariate analysis, troponin elevation was strongly associated with acute myocarditis patterns (OR: 4.98; 95% CI: 1.76-14.05; P = 0.003). CONCLUSIONS In this multicenter study of patients with COVID-19 with clinical suspicion for cardiac involvement referred for CMR, nonischemic and ischemic patterns were frequent when cardiac symptoms, ECG abnormalities, and cardiac biomarker elevations were present.
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Affiliation(s)
- Mahesh K Vidula
- Division of Cardiovascular Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Justyna Rajewska-Tabor
- Department of Magnetic Resonance, I Clinic of Cardiology, University of Medical Sciences, Poznan, Poland
| | - J Jane Cao
- St. Francis Hospital, Roslyn, New York, USA
| | - Yu Kang
- Division of Cardiovascular Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | | | | | - Daniel E Clark
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ana-Maria Poenar
- Biomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Miroslawa Gorecka
- Biomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Maan Malahfji
- Houston Methodist Heart and Vascular Center, Houston, Texas, USA
| | - Eilidh Cowan
- Houston Methodist Heart and Vascular Center, Houston, Texas, USA
| | - Jennifer M Kwan
- Cardiovascular Section, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Samuel W Reinhardt
- Cardiovascular Section, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Sarah Al-Tabatabaee
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Patrick Doeblin
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Adriana D M Villa
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Ilya Karagodin
- Department of Medicine, Section of Cardiology, University of Chicago Medicine, Chicago, Illinois, USA
| | - Nazia Alvi
- Department of Medicine, Section of Cardiology, University of Chicago Medicine, Chicago, Illinois, USA
| | | | - Nicholas Spetko
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Mark Philip Cassar
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
| | - Christine Park
- Division of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - Lakshmi Nambiar
- Division of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - Alper Turgut
- Cardiovascular Division, Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Mahan Roosta Azad
- Department of Cardiology and Angiology, Contilia Heart and Vascular Centre Elisabeth-Krankenhaus, Essen, Germany
| | - Moritz Lambers
- Department of Cardiology and Angiology, Contilia Heart and Vascular Centre Elisabeth-Krankenhaus, Essen, Germany
| | - Timothy C Wong
- Division of Cardiology, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Michael Salerno
- Cardiovascular Division, Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Jiwon Kim
- Division of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - Michael Elliott
- Sanger Heart and Vascular Institute, Atrium Health, Charlotte, North Carolina, USA
| | - Betty Raman
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
| | - Connie W Tsao
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Gina LaRocca
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Amit R Patel
- Department of Medicine, Section of Cardiology, University of Chicago Medicine, Chicago, Illinois, USA
| | - Amedeo Chiribiri
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Sebastian Kelle
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Lauren A Baldassarre
- Cardiovascular Section, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Dipan J Shah
- Houston Methodist Heart and Vascular Center, Houston, Texas, USA
| | - Sean G Hughes
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Matthew S Tong
- Division of Cardiology, The Ohio State University, Columbus, Ohio, USA
| | - Malgorzata Pyda
- Department of Magnetic Resonance, I Clinic of Cardiology, University of Medical Sciences, Poznan, Poland
| | | | - Sven Plein
- Biomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Yuchi Han
- Division of Cardiovascular Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Division of Cardiology, The Ohio State University, Columbus, Ohio, USA.
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Ahn B, Park C, Kim M, Lee J, Choi J, Kim H, Lee G, Yu N, Lee Y, Han JY. OP27 A phase II study of neoadjuvant erlotinib for operable stage II or IIIA non-small cell lung cancer with epidermal growth factor receptor activating mutations. ESMO Open 2022. [DOI: 10.1016/j.esmoop.2022.100715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
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Johnson ML, Fox W, Lee YG, Lee KH, Ahn HK, Kim YC, Lee KY, Lee JS, He X, Park C, Pomponio D, Dang T, Phuong PH, Nuyten DSA, Hegde AM, Joshi R. ARC-7: Randomized phase 2 study of domvanalimab + zimberelimab ± etrumadenant versus zimberelimab in first-line, metastatic, PD-L1-high non-small cell lung cancer (NSCLC). J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.36_suppl.397600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
397600 Background: While PD-1 inhibitors demonstrated survival benefit compared to chemotherapy in patients (pts) with PD-L1-high, NSCLC, less than half of pts respond to monotherapy. Novel therapeutics or combinations are necessary to improve outcomes. Domvanalimab (D) is an Fc-silent humanized IgG1 monoclonal antibody (mAb) that blocks T cell Immunoglobulin and ITIM domain (TIGIT), thereby reducing immunosuppression of T/NK cells and promoting antitumor activity. Etrumadenant (E) is a selective dual antagonist of both A2a and A2b receptors (R) expressed on immune cells thereby reducing immunosuppressive extracellular adenosine. ARC-7 evaluates whether inhibition of TIGIT and adenosine pathways augments activity of zimberelimab (Z) (anti-PD-1 mAb) in pts with PD-L1-high NSCLC. Methods: ARC-7 (NCT04262856) is a randomized, open-label phase 2 clinical trial which enrolled treatment-naïve pts with Stage IV, squamous or non-squamous NSCLC with locally assessed high PD-L1 expression (TPS ≥ 50%), no EGFR or ALK alterations, and ECOG PS ≤1. Pts were randomized (1:1:1) to: Arm 1 (Z): Z 360 mg intravenously (IV) every 3 weeks (Q3W); Arm 2 (DZ): D 15 mg/kg IV Q3W + Z; Arm 3 (EDZ): E 150 mg orally once daily + DZ. Pts in Arm 1 with confirmed progression had the option to cross over to EDZ. Co-primary endpoints were overall response rate (ORR) and progression-free survival (PFS) per RECIST v1.1. Results: As of 31 August 2022, 149 pts received at least one dose of study treatment. Efficacy for this interim analysis included 133 pts randomized at least 13 weeks prior to data cut-off (ITT-13), allowing for ≥ 2 post-baseline scans. With median follow-up of 11.8 months (mo), D-containing arms, demonstrated improved ORR and PFS compared to Z. In the safety population, grade ≥3 treatment-emergent adverse events occurred in 58% (Z), 47% (DZ), and 52% (EDZ). All cases of rash were grade 1-2, manageable with topical corticosteroids, and more common in EDZ (Table). Conclusions: In the first published, randomized dataset evaluating an Fc-silent TIGIT mAb, both D containing arms demonstrated clinically meaningful improvement in ORR and PFS compared to Z. Treatment with Z, DZ and EDZ was well tolerated, and the safety profiles of D-containing arms were similar to Z. Ongoing phase 3 trials are evaluating DZ compared to standard of care in metastatic NSCLC. Clinical trial information: NCT04262856. [Table: see text]
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Affiliation(s)
| | - William Fox
- 2Mid North Coast Cancer Institute, New South Wales, Australia
| | - Yun-Gyoo Lee
- Kangbuk Samsung Hospital, Jongno-Gu, Korea, Republic of (South)
| | - Ki Hyeong Lee
- Chungbuk National University Hospital, Cheongju, Korea, Republic of (South)
| | - Hee Kyung Ahn
- Gachon University Gil Medical Center, Incheon, Korea South
| | - Young-Chul Kim
- Chonnam National University Hwasun Hospital, Hwasun-Gun, Korea, Republic of (South)
| | - Kang-Yun Lee
- Taipei Medical University - Shuang Ho Hospital, Zhong He Qu, Taiwan
| | - Jong-Seok Lee
- Department of Internal Medicine, Seoul National University, Seoul, Korea, Bundang-Gu, Seongnam-Si, Korea, Republic of (South)
| | - Xian He
- Arcus Biosciences, Inc., Hayward, CA
| | | | | | - Thao Dang
- Gilead Sciences, Inc., Foster City, CA
| | | | | | | | - Rohit Joshi
- Adelaide Oncology & Haematology and University of Adelaide, Adelaide, Australia
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Wong SC, Ratliff W, Xia M, Park C, Sendak M, Balu S, Henao R, Carin L, Kheterpal MK. Use of convolutional neural networks in skin lesion analysis using real world image and non-image data. Front Med (Lausanne) 2022; 9:946937. [PMID: 36341258 PMCID: PMC9629864 DOI: 10.3389/fmed.2022.946937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 09/26/2022] [Indexed: 11/21/2022] Open
Abstract
Background Understanding performance of convolutional neural networks (CNNs) for binary (benign vs. malignant) lesion classification based on real world images is important for developing a meaningful clinical decision support (CDS) tool. Methods We developed a CNN based on real world smartphone images with histopathological ground truth and tested the utility of structured electronic health record (EHR) data on model performance. Model accuracy was compared against three board-certified dermatologists for clinical validity. Results At a classification threshold of 0.5, the sensitivity was 79 vs. 77 vs. 72%, and specificity was 64 vs. 65 vs. 57% for image-alone vs. combined image and clinical data vs. clinical data-alone models, respectively. The PPV was 68 vs. 69 vs. 62%, AUC was 0.79 vs. 0.79 vs. 0.69, and AP was 0.78 vs. 0.79 vs. 0.64 for image-alone vs. combined data vs. clinical data-alone models. Older age, male sex, and number of prior dermatology visits were important positive predictors for malignancy in the clinical data-alone model. Conclusion Additional clinical data did not significantly improve CNN image model performance. Model accuracy for predicting malignant lesions was comparable to dermatologists (model: 71.31% vs. 3 dermatologists: 77.87, 69.88, and 71.93%), validating clinical utility. Prospective validation of the model in primary care setting will enhance understanding of the model’s clinical utility.
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Affiliation(s)
- Samantha C. Wong
- Department of Dermatology, Duke University Medical Center, Durham, NC, United States
| | - William Ratliff
- Duke Institute for Health Innovation, Duke University, Durham, NC, United States
| | - Meng Xia
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, United States
| | - Christine Park
- Department of Dermatology, Duke University Medical Center, Durham, NC, United States
- *Correspondence: Christine Park,
| | - Mark Sendak
- Duke Institute for Health Innovation, Duke University, Durham, NC, United States
| | - Suresh Balu
- Duke Institute for Health Innovation, Duke University, Durham, NC, United States
| | - Ricardo Henao
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, United States
| | - Lawrence Carin
- Department of Electrical and Computer Engineering, Duke University, Durham, NC, United States
| | - Meenal K. Kheterpal
- Department of Dermatology, Duke University Medical Center, Durham, NC, United States
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Qian Y, Li J, Zhao S, Matthews EA, Adoff M, Zhong W, An X, Yeo M, Park C, Yang X, Wang BS, Southwell DG, Huang ZJ. Programmable RNA sensing for cell monitoring and manipulation. Nature 2022; 610:713-721. [PMID: 36198803 PMCID: PMC10348343 DOI: 10.1038/s41586-022-05280-1] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 08/26/2022] [Indexed: 12/22/2022]
Abstract
RNA is a central and universal mediator of genetic information underlying the diversity of cell types and cell states, which together shape tissue organization and organismal function across species and lifespans. Despite numerous advances in RNA sequencing technologies and the massive accumulation of transcriptome datasets across the life sciences1,2, the dearth of technologies that use RNAs to observe and manipulate cell types remains a bottleneck in biology and medicine. Here we describe CellREADR (Cell access through RNA sensing by Endogenous ADAR), a programmable RNA-sensing technology that leverages RNA editing mediated by ADAR to couple the detection of cell-defining RNAs with the translation of effector proteins. Viral delivery of CellREADR conferred specific cell-type access in mouse and rat brains and in ex vivo human brain tissues. Furthermore, CellREADR enabled the recording and control of specific types of neurons in behaving mice. CellREADR thus highlights the potential for RNA-based monitoring and editing of animal cells in ways that are specific, versatile, simple and generalizable across organ systems and species, with wide applications in biology, biotechnology and programmable RNA medicine.
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Affiliation(s)
- Yongjun Qian
- Department of Neurobiology, Duke University Medical Center, Durham, NC, USA
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
| | - Jiayun Li
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
| | - Shengli Zhao
- Department of Neurobiology, Duke University Medical Center, Durham, NC, USA
| | - Elizabeth A Matthews
- Department of Neurobiology, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Michael Adoff
- Department of Neurobiology, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Weixin Zhong
- Department of Neurobiology, Duke University Medical Center, Durham, NC, USA
| | - Xu An
- Department of Neurobiology, Duke University Medical Center, Durham, NC, USA
| | - Michele Yeo
- Department of Neurobiology, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Christine Park
- Department of Neurobiology, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Xiaolu Yang
- Department of Neurobiology, Duke University Medical Center, Durham, NC, USA
| | - Bor-Shuen Wang
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
| | - Derek G Southwell
- Department of Neurobiology, Duke University Medical Center, Durham, NC, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Z Josh Huang
- Department of Neurobiology, Duke University Medical Center, Durham, NC, USA.
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA.
- Department of Biomedical Engineering, Duke University Pratt School of Engineering, Durham, NC, USA.
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Budhiraja S, Baisiwala S, Perrault E, Cho S, Dara G, Nandoliya K, Zolp A, Chen L, Dmello C, Park C, Sonabend A, Ahmed A. OS08.6.A Novel role of ARF4-mediated retrograde trafficking as a driver of chemoresistance in GBM. Neuro Oncol 2022. [DOI: 10.1093/neuonc/noac174.060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Glioblastoma (GBM) is the most common type of adult malignant brain tumor, with a median survival of only 21 months. This is partly due to the high rate of resistance to conventional therapy, including temozolomide (TMZ), leading to recurrence rates close to 100%. To identify the unknown genes driving the development of this resistance, we performed a genome-wide CRISPR knockout screen comparing a DMSO-treated population with a TMZ-treated population over 14 days. Results showed substantial enrichment of ~200 novel genes, including a previously unstudied gene ARF4—involved in retrograde trafficking to the nucleus. Here, we set out to characterize the mechanism by which ARF4 may be acting to promote chemoresistance.
Material and Methods
A whole-genome CRISPR-Cas9 sensitivity screen as well as a variety of in vitro and in vivo experiments, such as live-cell imaging, cell viability assays, and western blotting were conducted.
Results
Initial investigation into ARF4 showed significant elevations in expression at RNA and protein levels (p<0.05) in recurrent patient tumors, as well as a significant survival benefit in patient datasets when downregulated (p<0.05). Knocking out ARF4 resulted in significantly heightened sensitivity to TMZ in multiple GBM patient-derived xenograft lines and extended survival compared to the controls (p<0.01) in vivo. Further investigation via live-cell imaging of transferrin receptors, a retrograde transport marker, revealed that ARF4-knockdowns significantly inhibited retrograde trafficking, while ARF4-overexpressions resulted in an untenable increase in retrograde trafficking in vitro. This effect was also seen in TMZ-treated cells, which displayed enhanced trafficking dynamics, suggesting that ARF4-mediated retrograde trafficking is elevated during therapy to drive nuclear localization of key chemoresistance-promoting factors. We then performed an unbiased proteomics screen to identify which genes were being uniquely transported to the nucleus as a product of ARF4-mediated retrograde trafficking, which revealed enrichment of the EGFR signaling pathway in particular. Validation experiments confirmed a decrease in EGFR trafficking and nuclear EGFR expression in ARF4-knockdowns and an increase in EGFR trafficking and nuclear EGFR expression in ARF4-overexpression and TMZ-treated GBM cells. Furthermore, nuclear DNA-PK, a DNA repair protein known to be transcriptionally activated by EGFR, was similarly found to be downregulated in ARF4-knockdown conditions and elevated in ARF4-overexpression and TMZ-treated conditions.
Conclusion: Here, we show that ARF4 may be responsible for promoting chemoresistance through altered retrograde trafficking of EGFR specifically. Thus, our study has yielded a promising and novel therapeutic target for GBM, a disease desperately in need of new therapeutic strategies.
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Affiliation(s)
- S Budhiraja
- Northwestern University Feinberg School of Medicine , Chicago, IL , United States
| | - S Baisiwala
- David Geffen School of Medicine at UCLA , Los Angeles, CA , United States
| | - E Perrault
- Northwestern University Feinberg School of Medicine , Chicago, IL , United States
| | - S Cho
- Northwestern University Feinberg School of Medicine , Chicago, IL , United States
| | - G Dara
- Northwestern University Feinberg School of Medicine , Chicago, IL , United States
| | - K Nandoliya
- Northwestern University Feinberg School of Medicine , Chicago, IL , United States
| | - A Zolp
- Northwestern University Feinberg School of Medicine , Chicago, IL , United States
| | - L Chen
- Northwestern University Feinberg School of Medicine , Chicago, IL , United States
| | - C Dmello
- Northwestern University Feinberg School of Medicine , Chicago, IL , United States
| | - C Park
- Northwestern University Feinberg School of Medicine , Chicago, IL , United States
| | - A Sonabend
- Northwestern University Feinberg School of Medicine , Chicago, IL , United States
| | - A Ahmed
- Northwestern University Feinberg School of Medicine , Chicago, IL , United States
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Kim S, Chowdhury T, Yu H, Choi S, Kim K, Kang H, Lee J, Lee S, Won J, Kim K, Kim K, Kim M, Lee J, Kim J, Kim Y, Kim T, Choi S, Phi J, Shin Y, Ku J, Lee S, Yun H, Lee H, Kim D, Kim K, Hur JK, Park S, Kim S, Park C. P02.01.B The telomere maintenance mechanism spectrum and its dynamics in gliomas. Neuro Oncol 2022. [DOI: 10.1093/neuonc/noac174.094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
The activation of the telomere maintenance mechanism (TMM) is one of the critical drivers of cancer cell immortality. In gliomas, TERT expression and TERT promoter mutation are considered to reliably indicate telomerase activation, while ATRX mutation indicates alternative lengthening of telomeres (ALT). However, these relationships have not been extensively validated in tumor tissues. Here, we show through the direct measurement of telomerase activity and ALT in a large set of glioma samples that the TMM in glioma cannot be defined in the dichotomy of telomerase activity and ALT, regardless of TERT expression, TERT promoter mutation and ATRX mutation. Moreover, we observed that a considerable proportion of gliomas lack both telomerase activity and ALT (Neither group). And this Neither group exhibited evidence of slow growth potential. From a set of longitudinal samples from a separate cohort of glioma patients, we discovered that the TMM is not fixed but changes with glioma progression. Collectively, these results suggest that the TMM is a dynamic entity and that reflects the plasticity of the oncogenic biological status of tumor cells and that the TMM should be defined by the direct measurement of telomerase enzyme activity and evidence of ALT.
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Affiliation(s)
- S Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - T Chowdhury
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - H Yu
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - S Choi
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - K Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - H Kang
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - J Lee
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - S Lee
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - J Won
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - K Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - K Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - M Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - J Lee
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - J Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - Y Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - T Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - S Choi
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - J Phi
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - Y Shin
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - J Ku
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - S Lee
- Seoul National University Hospital , Seoul , Korea, Republic of
| | - H Yun
- Seoul National University Hospital , Seoul , Korea, Republic of
| | - H Lee
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - D Kim
- Kyung Hee University , Seoul , Korea, Republic of
| | - K Kim
- Korea University , Seoul , Korea, Republic of
| | - J K Hur
- Hanyang University , Seoul , Korea, Republic of
| | - S Park
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - S Kim
- Seoul National University College of Medicine , Seoul , Korea, Republic of
| | - C Park
- Seoul National University College of Medicine , Seoul , Korea, Republic of
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Massengale KE, Jones MA, Liao J, Park C, Old M. Priority Areas for Child Diaper Access: Low-Income Neighborhoods with Limited Retail Access to the Basic Need of Diapers. Health Equity 2022; 6:767-776. [PMID: 36225666 PMCID: PMC9536341 DOI: 10.1089/heq.2021.0192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/17/2022] [Indexed: 11/12/2022] Open
Abstract
Introduction: Although a requirement for the health and hygiene of young children, millions of US families with low-incomes have unmet needs for diapers. The present study explored retail options in Durham County, NC for purchasing diapers in low-income neighborhoods in effort to increase our understanding of the overall context of diaper need. Methods: During June 2018, we visited 63 retailers selling 2460 child diaper products in 29 census tracts with a median household income ≤200% of the federal poverty guideline. Corner stores were the only retailers to sell products without original packaging, including one corner store selling loose diapers for $1.49 each. Next, we calculated bus routes to determine accessibility of the retailer with the lowest prices and greatest selection. One-way bus travel from all other census tracts to a big-box store required taking two buses combined with an average of 11 min walking for an average travel time of 43 min. We deemed census tracts as “priority areas for diaper access” when they were characterized as: (1) low income and (2) low access with no retailer selling all of the 10 most common child diaper sizes. Results: Nearly half (n=13) of the census tracts in our sample met our criteria for priority areas. We compared neighborhood characteristics of priority areas with all other county census tracts. Families living in priority areas were statistically significantly more likely to: identify as Black or African American, face challenges affording housing costs, have homes or automobiles in need of repair, experience neighborhood violence, and have less educational attainment.
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Affiliation(s)
| | - Melissa A. Jones
- Department of Informatics and Analytics, University of North Carolina at Greensboro, Greensboro, North Carolina, USA
| | - Juncheng Liao
- Department of Statistical Science, Duke University, Durham, North Carolina, USA
| | - Christine Park
- Duke University School of Medicine, Durham, North Carolina, USA
| | - Michelle Old
- Diaper Bank of North Carolina, Durham, North Carolina, USA
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Kim H, Joo E, Bae J, Park J, Bang Y, Park C, Gulati N, Park W. 096 Deconvolution of adult T-cell leukemia/lymphoma with single-cell RNA-seq using frozen archived skin tissue reveals new subset of cancer-associated fibroblast. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Lim Y, Kang S, Kim H, Mun J, Roh M, Gulati N, Yang H, Moon J, Won C, Park C. 631 Determining intra-tumoral heterogeneity and immune escape mechanisms in melanoma using spatial transcriptomics. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Lee B, Bang Y, Lim S, Kang S, Park C, Kim H, Kim T. 067 Dissecting circulating regulatory T cells in severe Korean psoriasis patients by mass cytometry. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Rethorn ZD, Cook CE, Park C, Somers T, Mummaneni PV, Chan AK, Pennicooke BH, Bisson EF, Asher AL, Buchholz AL, Bydon M, Alvi MA, Coric D, Foley KT, Fu KM, Knightly JJ, Meyer S, Park P, Potts EA, Shaffrey CI, Shaffrey M, Than KD, Tumialan L, Turner JD, Upadhyaya CD, Wang MY, Gottfried O. Social risk factors predicting outcomes of cervical myelopathy surgery. J Neurosurg Spine 2022; 37:41-48. [PMID: 35090132 DOI: 10.3171/2021.12.spine21874] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 12/02/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Combinations of certain social risk factors of race, sex, education, socioeconomic status (SES), insurance, education, employment, and one's housing situation have been associated with poorer pain and disability outcomes after lumbar spine surgery. To date, an exploration of such factors in patients with cervical spine surgery has not been conducted. The objective of the current work was to 1) define the social risk phenotypes of individuals who have undergone cervical spine surgery for myelopathy and 2) analyze their predictive capacity toward disability, pain, quality of life, and patient satisfaction-based outcomes. METHODS The Cervical Myelopathy Quality Outcomes Database was queried for the period from January 2016 to December 2018. Race/ethnicity, educational attainment, SES, insurance payer, and employment status were modeled into unique social phenotypes using latent class analyses. Proportions of social groups were analyzed for demonstrating a minimal clinically important difference (MCID) of 30% from baseline for disability, neck and arm pain, quality of life, and patient satisfaction at the 3-month and 1-year follow-ups. RESULTS A total of 730 individuals who had undergone cervical myelopathy surgery were included in the final cohort. Latent class analysis identified 2 subgroups: 1) high risk (non-White race and ethnicity, lower educational attainment, not working, poor insurance, and predominantly lower SES), n = 268, 36.7% (class 1); and 2) low risk (White, employed with good insurance, and higher education and SES), n = 462, 63.3% (class 2). For both 3-month and 1-year outcomes, the high-risk group (class 1) had decreased odds (all p < 0.05) of attaining an MCID score in disability, neck/arm pain, and health-related quality of life. Being in the low-risk group (class 2) resulted in an increased odds of attaining an MCID score in disability, neck/arm pain, and health-related quality of life. Neither group had increased or decreased odds of being satisfied with surgery. CONCLUSIONS Although 2 groups underwent similar surgical approaches, the social phenotype involving non-White race/ethnicity, poor insurance, lower SES, and poor employment did not meet MCIDs for a variety of outcome measures. This finding should prompt surgeons to proactively incorporate socially conscience care pathways within healthcare systems, as well as to optimize community-based resources to improve outcomes and personalize care for populations at social risk.
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Affiliation(s)
- Zachary D Rethorn
- 1Department of Orthopaedics, Duke University, Durham
- 19Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Medical Center, Durham, North Carolina
| | - Chad E Cook
- 1Department of Orthopaedics, Duke University, Durham
- 3Duke Clinical Research Institute, Duke University, Durham, North Carolina
| | - Christine Park
- 15Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina
| | - Tamara Somers
- 3Duke Clinical Research Institute, Duke University, Durham, North Carolina
| | - Praveen V Mummaneni
- 4Department of Neurological Surgery, University of California, San Francisco, California
| | - Andrew K Chan
- 4Department of Neurological Surgery, University of California, San Francisco, California
| | | | - Erica F Bisson
- 6Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah
| | - Anthony L Asher
- 7Department of Neurosurgery, Carolina Neurosurgery and Spine Associates and Neuroscience Institute, Carolinas HealthCare System, Charlotte, North Carolina
| | - Avery L Buchholz
- 8Department of Neurosurgery, University of Virginia Health System, Charlottesville, Virginia
| | - Mohamad Bydon
- 9Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Mohammed Ali Alvi
- 9Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Domagoj Coric
- 7Department of Neurosurgery, Carolina Neurosurgery and Spine Associates and Neuroscience Institute, Carolinas HealthCare System, Charlotte, North Carolina
| | - Kevin T Foley
- 10Department of Neurosurgery, University of Tennessee and Semmes-Murphey Clinic, Memphis, Tennessee
| | - Kai-Ming Fu
- 11Department of Neurological Surgery, Weill Cornell Medicine, New York, New York
| | | | - Scott Meyer
- 12Altair Health Spine and Wellness, Morristown, New Jersey
| | - Paul Park
- 13Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan
| | - Eric A Potts
- 14Goodman Campbell Brain and Spine, Indianapolis, Indiana
| | - Christopher I Shaffrey
- 15Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina
| | - Mark Shaffrey
- 8Department of Neurosurgery, University of Virginia Health System, Charlottesville, Virginia
| | - Khoi D Than
- 15Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina
| | | | - Jay D Turner
- 16Barrow Neurological Institute, Phoenix, Arizona
| | | | - Michael Y Wang
- 18Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, Florida; and
| | - Oren Gottfried
- 15Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina
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Abstract
Exposed dental pulp can maintain its vitality through a pulp-capping procedure with biocompatible materials, followed by reparative dentin formation. Our previous study demonstrated that a vitronectin-derived peptide (VnP-16) promotes osteoblast differentiation and concomitantly restrains osteoclast differentiation and resorptive function. In this study, we aimed to demonstrate that VnP-16 promotes odontoblast differentiation, mineralization, and reparative dentin formation in a pulp exposure model using a rat tooth. VnP-16 showed no cytotoxicity and promoted cellular behavior in human dental pulp cells, enhancing their differentiation into odontoblast-like cells and mineralization, effects that are comparable to those obtained with vitronectin. In a rat pulp exposure model, VnP-16 showed mild inflammatory responses at 2 and 4 wk or none. Mineral trioxide aggregate (MTA) demonstrated a tendency of early formation of reparative dentin at 2 wk when compared with recombinant human bone morphogenetic protein 2 (rhBMP-2) and VnP-16. However, VnP-16 induced reparative dentin formation similar to MTA and rhBMP-2 without inflammation at 4 wk. In addition, VnP-16 showed a thicker and homogeneous reparative dentin formation versus MTA and rhBMP-2. Collectively, these results suggest that VnP-16 can be a useful, direct pulp-capping agent for highly qualified reparative dentin formation by promoting cell behavior and odontoblastic differentiation of human dental pulp cells.
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Affiliation(s)
- C Park
- Department of Oral Biochemistry and Program in Cancer and Developmental Biology, Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Korea.,Department of Conservative Dentistry and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Korea
| | - M Song
- Department of Conservative Dentistry, College of Dentistry, Dankook University, Cheon-An, Korea
| | - S Y Kim
- Department of Conservative Dentistry and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Korea
| | - B M Min
- Department of Oral Biochemistry and Program in Cancer and Developmental Biology, Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Korea
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