1
|
Suri A, Hubbard ZL, VanSwearingen J, Torres-Oviedo G, Brach JS, Redfern MS, Sejdic E, Rosso AL. Fear of falling in community-dwelling older adults: What their gait acceleration pattern reveals. Comput Methods Programs Biomed 2024; 244:108001. [PMID: 38199138 DOI: 10.1016/j.cmpb.2023.108001] [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] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 12/08/2023] [Accepted: 12/26/2023] [Indexed: 01/12/2024]
Abstract
BACKGROUND Fear of Falling (FOF) is common among community-dwelling older adults and is associated with increased fall-risk, reduced activity, and gait modifications. OBJECTIVE In this cross-sectional study, we examined the relationships between FOF and gait quality. METHODS Older adults (N=232; age 77±6; 65 % females) reported FOF by a single yes/no question. Gait quality was quantified as (1) harmonic ratio (smoothness) and other time-frequency spatiotemporal variables from triaxial accelerometry (Vertical-V, Mediolateral-ML, Anterior-Posterior -AP) during six-minute walk; (2) gait speed, step-time CoV (variability), and walk-ratio (step-length/cadence) on a 4-m instrumented walkway. Mann Whitney U-tests and Random forest classifier compared gait between those with and without FOF. Selected gait variables were used to build Support Vector Machine (SVM) classifier and performance was evaluated using AUC-ROC. RESULTS Individuals with FOF had slower gait speed (103.66 ± 17.09 vs. 110.07 ± 14.83 cm/s), greater step time CoV (4.17 ± 1.66 vs. 3.72 ± 1.24 %), smaller walk-ratio (0.53 ± 0.08 vs. 0.56 ± 0.07 cm/steps/minute), smaller standard deviation V (0.15 ± 0.06 vs. 0.18 ± 0.09 m/s2), and smaller harmonic-ratio V (2.14 ± 0.73 vs. 2.38 ± 0.58), all p<.01. Linear SVM yielded an AUC-ROC of 67 % on test dataset, coefficient values being gait speed (-0.19), standard deviation V (-0.23), walk-ratio (-0.36), and smoothness V (-0.38) describing associations with presence of FOF. CONCLUSION Older adults with FOF have reduced gait speed, acceleration adaptability, walk-ratio, and smoothness. Disrupted gait patterns during fear of falling could provide insights into psychosocial distress in older adults. Longitudinal studies are warranted.
Collapse
Affiliation(s)
- Anisha Suri
- Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Zachary L Hubbard
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Jessie VanSwearingen
- Department of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Gelsy Torres-Oviedo
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Jennifer S Brach
- Department of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Mark S Redfern
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Ervin Sejdic
- Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada; North York General Hospital, Toronto, Ontario, Canada
| | - Andrea L Rosso
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
| |
Collapse
|
2
|
Suri A, VanSwearingen J, Baillargeon EM, Crane BM, Moored KD, Carlson MC, Dunlap PM, Donahue PT, Redfern MS, Brach JS, Sejdic E, Rosso AL. Association of Gait Quality With Daily-Life Mobility: An Actigraphy and Global Positioning System Based Analysis in Older Adults. IEEE Trans Biomed Eng 2024; 71:130-138. [PMID: 37428666 PMCID: PMC10792545 DOI: 10.1109/tbme.2023.3293752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/12/2023]
Abstract
OBJECTIVE Walking is a key component of daily-life mobility. We examined associations between laboratory-measured gait quality and daily-life mobility through Actigraphy and Global Positioning System (GPS). We also assessed the relationship between two modalities of daily-life mobility i.e., Actigraphy and GPS. METHODS In community-dwelling older adults (N = 121, age = 77±5 years, 70% female, 90% white), we obtained gait quality from a 4-m instrumented walkway (gait speed, walk-ratio, variability) and accelerometry during 6-Minute Walk (adaptability, similarity, smoothness, power, and regularity). Physical activity measures of step-count and intensity were captured from an Actigraph. Time out-of-home, vehicular time, activity-space, and circularity were quantified using GPS. Partial Spearman correlations between laboratory gait quality and daily-life mobility were calculated. Linear regression was used to model step-count as a function of gait quality. ANCOVA and Tukey analysis compared GPS measures across activity groups [high, medium, low] based on step-count. Age, BMI, and sex were used as covariates. RESULTS Greater gait speed, adaptability, smoothness, power, and lower regularity were associated with higher step-counts (0.20<|ρp| < 0.26, p < .05). Age(β = -0.37), BMI(β = -0.30), speed(β = 0.14), adaptability(β = 0.20), and power(β = 0.18), explained 41.2% variance in step-count. Gait characteristics were not related to GPS measures. Participants with high (>4800 steps) compared to low activity (steps<3100) spent more time out-of-home (23 vs 15%), more vehicular travel (66 vs 38 minutes), and larger activity-space (5.18 vs 1.88 km2), all p < .05. CONCLUSIONS Gait quality beyond speed contributes to physical activity. Physical activity and GPS-derived measures capture distinct aspects of daily-life mobility. Wearable-derived measures should be considered in gait and mobility-related interventions.
Collapse
|
3
|
Rekant J, Chambers A, Suri A, Hergenroeder A, Sejdic E, Brach J. Weekly minutes of moderate to vigorous physical activity is associated with movement quality in overweight and obese older adults, independent of age. Aging Clin Exp Res 2023; 35:2941-2950. [PMID: 37861959 PMCID: PMC10735209 DOI: 10.1007/s40520-023-02584-8] [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: 07/25/2023] [Accepted: 09/26/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND Physical activity can improve function and decrease healthcare spending among overweight and obese older adults. Although unstructured physical activity has been related to cardiometabolic improvements, the relationship between unstructured activity and movement quality is unclear. AIMS This study aimed to evaluate the association of amount of unstructured free-living moderate-vigorous physical activity (MVPA) with measures of movement quality in overweight and obese older adults. METHODS The association of MVPA with movement quality was assessed in 165 overweight and obese older adults (Age: 77.0(8.0) years; Body mass index (BMI): 29.2(5.3) kg/m2). Participants performed overground walking, the Figure of 8 Walk test, and the Five-Times Sit to Stand. Weekly physical activity was measured using a waist-worn Actigraph activity monitor. RESULTS Movement quality during straight path [gait speed (ρ = 0.30, p < 0.01), stride length (ρ = 0.33, p < 0.01), double-limb support time (ρ = -0.26, p < 0.01), and gait symmetry (ρ = 0.17, p = 0.02)] and curved path [F8W time (ρ = -0.22, p < 0.01) and steps (ρ = -0.22, p < 0.01)] walking were associated with weekly minutes of MVPA after controlling for age. Five-Times Sit to Stand performance was not significantly associated with weekly minutes of MVPA (ρ = -0.10, p = 0.13). CONCLUSIONS Older adults with high BMIs who are less active also demonstrate poorer movement quality, independent of age. Physical activity engagement and task-specific training should be targeted in interventions to promote healthy aging, decrease falls, and delay disability development. Future work should consider the interconnected nature of movement quality with physical activity engagement and investigate if targeting one influences the other.
Collapse
Affiliation(s)
- Julie Rekant
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
| | - April Chambers
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Health and Human Development, University of Pittsburgh, Pittsburgh, PA, USA
| | - Anisha Suri
- Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Andrea Hergenroeder
- Department of Physical Therapy, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ervin Sejdic
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jen Brach
- Department of Physical Therapy, University of Pittsburgh, Pittsburgh, PA, USA
| |
Collapse
|
4
|
Suri A, VanSwearingen J, Rosano C, Brach JS, Redfern MS, Sejdić E, Rosso AL. Uneven surface and cognitive dual-task independently affect gait quality in older adults. Gait Posture 2023; 106:34-41. [PMID: 37647710 PMCID: PMC10591986 DOI: 10.1016/j.gaitpost.2023.08.010] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 07/07/2023] [Accepted: 08/21/2023] [Indexed: 09/01/2023]
Abstract
BACKGROUND Real-world mobility involves walking in challenging conditions. Assessing gait during simultaneous physical and cognitive challenges provides insights on cognitive health. RESEARCH QUESTION How does uneven surface, cognitive task, and their combination affect gait quality and does this gait performance relate to cognitive functioning? METHODS Community-dwelling older adults (N = 104, age=75 ± 6 years, 60 % females) performed dual-task walking paradigms (even and uneven surface; with and without alphabeting cognitive task (ABC)) to mimic real-world demands. Gait quality measures [speed(m/s), rhythmicity(steps/minute), stride time variability (%), adaptability (m/s2), similarity, smoothness, power (Hz) and regularity] were calculated from an accelerometer worn on the lower back. Linear-mixed modelling and Tukey analysis were used to analyze independent effects of surface and cognitive task and their interaction on gait quality. Partial Spearman correlations compared gait quality with global cognition and executive function. RESULTS No interaction effects between surface and cognitive task were found. Uneven surface reduced gait speed(m/s) (β = -0.07). Adjusted for speed, uneven surface reduced gait smoothness (β = -0.27) and increased regularity (β = 0.09), Tukey p < .05, for even vs uneven and even-ABC vs uneven-ABC. Cognitive task reduced gait speed(m/s) (β = -0.12). Adjusted for speed, cognitive task increased variability (β = 7.60), reduced rhythmicity (β = -6.68) and increased regularity (β = 0.05), Tukey p < .05, for even vs even-ABC and uneven vs uneven-ABC. With demographics as covariates, gait speed was not associated with cognition. Gait quality [lower variability during even-ABC (ρp =-.31) and uneven-ABC (ρp =-.28); greater rhythmicity (ρp between.22 and.29) and greater signal-adaptability AP (ρp between.22 and.26) during all walking tasks] was associated with better global cognition. Gait adaptability during even (ρp =-0.21, p = 0.03) and uneven(ρp =-0.19, p = 0.04) walking was associated with executive function. SIGNIFICANCE Surface and cognitive walking tasks independently affected gait quality. Our study with high-functioning older adults suggests that task-related changes in gait quality are related to subtle changes in cognitive functioning.
Collapse
Affiliation(s)
- Anisha Suri
- Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, PA, USA
| | - Jessie VanSwearingen
- Department of Physical Therapy, School of Rehabilitation Sciences, University of Pittsburgh, PA, USA
| | - Caterina Rosano
- Department of Epidemiology, School of Public Health, University of Pittsburgh, PA, USA
| | - Jennifer S Brach
- Department of Physical Therapy, School of Rehabilitation Sciences, University of Pittsburgh, PA, USA
| | - Mark S Redfern
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, PA, USA
| | - Ervin Sejdić
- Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, PA, USA; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada; North York General Hospital, Toronto, ON, Canada
| | - Andrea L Rosso
- Department of Epidemiology, School of Public Health, University of Pittsburgh, PA, USA.
| |
Collapse
|
5
|
Rekant J, Chambers A, Suri A, Hergenroeder A, Sejdic E, Brachs J. Weekly minutes of moderate to vigorous physical activity is associated with movement quality in overweight and obese older adults. Res Sq 2023:rs.3.rs-3200471. [PMID: 37546773 PMCID: PMC10402264 DOI: 10.21203/rs.3.rs-3200471/v1] [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] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Background Physical activity can improve function and decrease healthcare spending among overweight and obese older adults. Although unstructured physical activity has been related to cardiometabolic improvements, the relationship between unstructured activity and movement quality is unclear. Aims This study aimed to evaluate the association of amount of unstructured free-living moderate-vigorous physical activity (MVPA) with measures of movement quality in overweight and obese older adults. Methods The association of MVPA with movement quality was assessed in 165 overweight and obese older adults (Age: 77.0(8.0) years; Body mass index (BMI): 29.2(5.3) kg/m2). Participants performed overground walking, the Figure of 8 Walk test, and the Five-Times Sit to Stand. Weekly physical activity was measured using a waist-worn Actigraph activity monitor. Results Movement quality during straight path (gait speed (ρ = 0.30, p < 0.01), stride length (ρ = 0.33, p < 0.01), double-limb support time (ρ=-0.26, p < 0.01), and gait symmetry (ρ = 0.17, p = 0.02)) and curved path (F8W time (ρ=-0.22, p < 0.01) and steps (ρ=-0.22, p < 0.01)) walking were associated with weekly minutes of MVPA after controlling for age. Five-Times Sit to Stand performance was not significantly associated with weekly minutes of MVPA (ρ=-0.10, p = 0.13). Conclusions Older adults with high BMIs who are less active also demonstrate poorer movement quality which should be targeted in interventions to promote healthy aging, decrease falls, and delay disability development. Future work should explore if these associations are observed in middle-aged adults so targeted interventions can be implemented even earlier in the disability development continuum.
Collapse
|
6
|
Gupta Y, Malik N, Goswami S, Arora M, Kundu A, Gupta S, Kapoor M, Suri V, Suri A, Chattopadhyay P, Sinha S, Chosdol K. 4P FAT1: A novel modulator of autophagy in human glioblastoma. ESMO Open 2023. [DOI: 10.1016/j.esmoop.2023.101016] [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: 04/05/2023] Open
|
7
|
Suri A, Zhu X, Acharya G, Harding A, VanSwearingen J, Redfern M, Sejdic E, Rosso A. NEIGHBORHOOD WALKABILITY INFLUENCES ASSOCIATIONS BETWEEN PHYSICAL ACTIVITY AND GAIT MEASURES IN OLDER ADULTS. Innov Aging 2022. [PMCID: PMC9765843 DOI: 10.1093/geroni/igac059.1012] [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
Neighborhood walkability can influence physical activity and of older adults. Residential neighborhoods of participants (N=186, 77±6 years, 70% females) were audited for walkability using Google Street View. Factor analysis categorized neighborhood walkability as high, medium, and low. Gait quality was derived from a 4-m instrumented walkway (pace, variability, walk-ratio) and accelerometry signals at the lower back during a 6-minute walk test (adaptability, similarity, and smoothness). Activity was step-count from seven-day actigraphy. We studied associations between gait variables and step-count across high, medium, and low walkability neighborhoods using linear regression (age and sex as covariates). Pace(m/s) [High(β=0.46, p<.05), Medium(β=0.43, p<.05), Low(β=0.25, p>.05)], adaptability(m/s2) [High(β=0.47, p<.05), Medium(β=0.24, p<.05), Low(β=0.37, p<.05)], and similarity [High(β=0.39, p<.05), Medium(β=0.28, p<.05), and Low(β=0.18, p>.05)] were associated with step-count, stronger associations for high walkability neighborhoods (p for interactions <0.01). No associations with variability, walk-ratio, and smoothness were found. Associations between gait and activity differed by neighborhood walkability.
Collapse
Affiliation(s)
- Anisha Suri
- Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Xiaonan Zhu
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Geeta Acharya
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Alyson Harding
- University of Minnesota, Minneapolis, Minnesota, United States
| | - Jessie VanSwearingen
- School of Health and Rehabilitation Sciences, Pittsburgh, Pennsylvania, United States
| | - Mark Redfern
- Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | | | - Andrea Rosso
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| |
Collapse
|
8
|
Suri A, VanSwearingen J, Dunlap P, Redfern MS, Rosso AL, Sejdić E. Facilitators and barriers to real-life mobility in community-dwelling older adults: a narrative review of accelerometry- and global positioning system-based studies. Aging Clin Exp Res 2022; 34:1733-1746. [PMID: 35275373 PMCID: PMC8913857 DOI: 10.1007/s40520-022-02096-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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 02/14/2022] [Indexed: 11/01/2022]
Abstract
Real-life mobility, also called "enacted" mobility, characterizes an individual's activity and participation in the community. Real-life mobility may be facilitated or hindered by a variety of factors, such as physical abilities, cognitive function, psychosocial aspects, and external environment characteristics. Advances in technology have allowed for objective quantification of real-life mobility using wearable sensors, specifically, accelerometry and global positioning systems (GPSs). In this review article, first, we summarize the common mobility measures extracted from accelerometry and GPS. Second, we summarize studies assessing the associations of facilitators and barriers influencing mobility of community-dwelling older adults with mobility measures from sensor technology. We found the most used accelerometry measures focus on the duration and intensity of activity in daily life. Gait quality measures, e.g., cadence, variability, and symmetry, are not usually included. GPS has been used to investigate mobility behavior, such as spatial and temporal measures of path traveled, location nodes traversed, and mode of transportation. Factors of note that facilitate/hinder community mobility were cognition and psychosocial influences. Fewer studies have included the influence of external environments, such as sidewalk quality, and socio-economic status in defining enacted mobility. Increasing our understanding of the facilitators and barriers to enacted mobility can inform wearable technology-enabled interventions targeted at delaying mobility-related disability and improving participation of older adults in the community.
Collapse
Affiliation(s)
- Anisha Suri
- Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jessie VanSwearingen
- Department of Physical Therapy, School of Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, USA
| | - Pamela Dunlap
- Department of Physical Therapy, School of Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mark S Redfern
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Andrea L Rosso
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ervin Sejdić
- Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
- The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada.
- North York General Hospital, Toronto, ON, Canada.
| |
Collapse
|
9
|
Liew SL, Lo BP, Donnelly MR, Zavaliangos-Petropulu A, Jeong JN, Barisano G, Hutton A, Simon JP, Juliano JM, Suri A, Wang Z, Abdullah A, Kim J, Ard T, Banaj N, Borich MR, Boyd LA, Brodtmann A, Buetefisch CM, Cao L, Cassidy JM, Ciullo V, Conforto AB, Cramer SC, Dacosta-Aguayo R, de la Rosa E, Domin M, Dula AN, Feng W, Franco AR, Geranmayeh F, Gramfort A, Gregory CM, Hanlon CA, Hordacre BG, Kautz SA, Khlif MS, Kim H, Kirschke JS, Liu J, Lotze M, MacIntosh BJ, Mataró M, Mohamed FB, Nordvik JE, Park G, Pienta A, Piras F, Redman SM, Revill KP, Reyes M, Robertson AD, Seo NJ, Soekadar SR, Spalletta G, Sweet A, Telenczuk M, Thielman G, Westlye LT, Winstein CJ, Wittenberg GF, Wong KA, Yu C. A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms. Sci Data 2022; 9:320. [PMID: 35710678 PMCID: PMC9203460 DOI: 10.1038/s41597-022-01401-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 05/19/2022] [Indexed: 01/16/2023] Open
Abstract
Accurate lesion segmentation is critical in stroke rehabilitation research for the quantification of lesion burden and accurate image processing. Current automated lesion segmentation methods for T1-weighted (T1w) MRIs, commonly used in stroke research, lack accuracy and reliability. Manual segmentation remains the gold standard, but it is time-consuming, subjective, and requires neuroanatomical expertise. We previously released an open-source dataset of stroke T1w MRIs and manually-segmented lesion masks (ATLAS v1.2, N = 304) to encourage the development of better algorithms. However, many methods developed with ATLAS v1.2 report low accuracy, are not publicly accessible or are improperly validated, limiting their utility to the field. Here we present ATLAS v2.0 (N = 1271), a larger dataset of T1w MRIs and manually segmented lesion masks that includes training (n = 655), test (hidden masks, n = 300), and generalizability (hidden MRIs and masks, n = 316) datasets. Algorithm development using this larger sample should lead to more robust solutions; the hidden datasets allow for unbiased performance evaluation via segmentation challenges. We anticipate that ATLAS v2.0 will lead to improved algorithms, facilitating large-scale stroke research.
Collapse
Affiliation(s)
- Sook-Lei Liew
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA.
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
| | - Bethany P Lo
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Miranda R Donnelly
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Artemis Zavaliangos-Petropulu
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jessica N Jeong
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Giuseppe Barisano
- Laboratory of Neuroimaging, Mark and Mary Stevens Neuroimaging and Informatics Institutes, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
| | - Alexandre Hutton
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Julia P Simon
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Julia M Juliano
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
| | - Anisha Suri
- Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Zhizhuo Wang
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Aisha Abdullah
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Jun Kim
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Tyler Ard
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Michael R Borich
- Department of Rehabilitation Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Lara A Boyd
- Department of Physical Therapy & Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Amy Brodtmann
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Cathrin M Buetefisch
- Department of Rehabilitation Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Department of Neurology, Emory University, Atlanta, GA, USA
| | - Lei Cao
- Center for the Developing Brain, Child Mind Institute, New York, NY, USA
| | - Jessica M Cassidy
- Department of Allied Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Valentina Ciullo
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Adriana B Conforto
- Hospital das Clínicas, São Paulo University, Sao Paulo, SP, Brazil
- Hospital Israelita Albert Einstein, Sao Paulo, SP, Brazil
| | - Steven C Cramer
- Department of Neurology, University of California Los Angeles and California Rehabilitation Institute, Los Angeles, CA, USA
| | - Rosalia Dacosta-Aguayo
- Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Barcelona, Spain
| | - Ezequiel de la Rosa
- icometrix, Leuven, Belgium
- Department of Computer Science, Technical University of Munich, Munich, Germany
| | - Martin Domin
- Functional Imaging Unit, Department of Diagnostic Radiology and Neuroradiology, University of Greifswald, Greifswald, Germany
| | - Adrienne N Dula
- Departments of Neurology and Diagnostic Medicine, Dell Medical School at The University of Texas Austin, Austin, TX, USA
| | - Wuwei Feng
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA
| | - Alexandre R Franco
- Center for the Developing Brain, Child Mind Institute, New York, NY, USA
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
- Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, USA
| | | | - Alexandre Gramfort
- Center for Data Science, Université Paris-Saclay, Inria, Palaiseau, France
| | - Chris M Gregory
- Department of Health Sciences & Research, Medical University of South Carolina, Charleston, SC, USA
| | - Colleen A Hanlon
- Cancer Biology, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Brenton G Hordacre
- Innovation, Implementation and Clinical Translation (IIMPACT) in Health, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia
| | - Steven A Kautz
- Department of Health Sciences & Research, Medical University of South Carolina, Charleston, SC, USA
- Ralph H Johnson VA Medical Center, Charleston, SC, USA
| | - Mohamed Salah Khlif
- The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia
| | - Hosung Kim
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jan S Kirschke
- Neuroradiology, School of Medicine, Technical University Munich, München, Germany
| | - Jingchun Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Martin Lotze
- Functional Imaging Unit, Department of Diagnostic Radiology and Neuroradiology, University of Greifswald, Greifswald, Germany
| | - Bradley J MacIntosh
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Hurvitz Brain Sciences Program, Toronto, Ontario, Canada
| | - Maria Mataró
- Department of Clinical Psychology and Psychobiology, Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, 08950, Esplugues de Llobregat, Spain
| | - Feroze B Mohamed
- Jefferson Magnetic Resonance Imaging Center, Philadelphia, PA, USA
| | - Jan E Nordvik
- CatoSenteret Rehabilitation Center, SON, Norway
- Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Gilsoon Park
- Laboratory of Neuroimaging, Mark and Mary Stevens Neuroimaging and Informatics Institutes, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Amy Pienta
- Inter-university Consortium for Political and Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Shane M Redman
- Inter-university Consortium for Political and Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Kate P Revill
- Facility for Education and Research in Neuroscience, Emory University, Atlanta, GA, USA
| | - Mauricio Reyes
- ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Andrew D Robertson
- Schlegel-University of Waterloo Research Institute for Aging, University of Waterloo, Waterloo, Ontario, Canada
- Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Na Jin Seo
- Department of Health Sciences & Research, Medical University of South Carolina, Charleston, SC, USA
- Ralph H Johnson VA Medical Center, Charleston, SC, USA
- Department of Rehabilitation Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Surjo R Soekadar
- Clinical Neurotechnology Laboratory, Dept. of Psychiatry and Neurosciences (CCM), Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
- Menninger Department of Psychiatry and Behavioral Sciences, Division of Neuropsychiatry, Baylor College of Medicine, Houston, TX, USA
| | - Alison Sweet
- Inter-university Consortium for Political and Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Maria Telenczuk
- Center for Data Science, Université Paris-Saclay, Inria, Palaiseau, France
| | - Gregory Thielman
- Department of Physical Therapy and Neuroscience, Samson College of Health Sciences, St. Joseph's University, Philadelphia, PA, USA
| | - Lars T Westlye
- Department of Psychology, University of Oslo, Oslo, Norway
- NORMENT, Department of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Carolee J Winstein
- Division of Biokinesiology and Physical Therapy of the Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - George F Wittenberg
- Geriatrics Research, Education and Clinical Center, HERL, Department of Veterans Affairs, Pittsburgh, PA, USA
- Departments of Neurology, PM&R, RNEL, CNBC, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kristin A Wong
- Department of Physical Medicine & Rehabilitation, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Chunshui Yu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| |
Collapse
|
10
|
Liew S, Zavaliangos‐Petropulu A, Jahanshad N, Lang CE, Hayward KS, Lohse KR, Juliano JM, Assogna F, Baugh LA, Bhattacharya AK, Bigjahan B, Borich MR, Boyd LA, Brodtmann A, Buetefisch CM, Byblow WD, Cassidy JM, Conforto AB, Craddock RC, Dimyan MA, Dula AN, Ermer E, Etherton MR, Fercho KA, Gregory CM, Hadidchi S, Holguin JA, Hwang DH, Jung S, Kautz SA, Khlif MS, Khoshab N, Kim B, Kim H, Kuceyeski A, Lotze M, MacIntosh BJ, Margetis JL, Mohamed FB, Piras F, Ramos‐Murguialday A, Richard G, Roberts P, Robertson AD, Rondina JM, Rost NS, Sanossian N, Schweighofer N, Seo NJ, Shiroishi MS, Soekadar SR, Spalletta G, Stinear CM, Suri A, Tang WKW, Thielman GT, Vecchio D, Villringer A, Ward NS, Werden E, Westlye LT, Winstein C, Wittenberg GF, Wong KA, Yu C, Cramer SC, Thompson PM. The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke. Hum Brain Mapp 2022; 43:129-148. [PMID: 32310331 PMCID: PMC8675421 DOI: 10.1002/hbm.25015] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 04/03/2020] [Accepted: 04/08/2020] [Indexed: 01/28/2023] Open
Abstract
The goal of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Stroke Recovery working group is to understand brain and behavior relationships using well-powered meta- and mega-analytic approaches. ENIGMA Stroke Recovery has data from over 2,100 stroke patients collected across 39 research studies and 10 countries around the world, comprising the largest multisite retrospective stroke data collaboration to date. This article outlines the efforts taken by the ENIGMA Stroke Recovery working group to develop neuroinformatics protocols and methods to manage multisite stroke brain magnetic resonance imaging, behavioral and demographics data. Specifically, the processes for scalable data intake and preprocessing, multisite data harmonization, and large-scale stroke lesion analysis are described, and challenges unique to this type of big data collaboration in stroke research are discussed. Finally, future directions and limitations, as well as recommendations for improved data harmonization through prospective data collection and data management, are provided.
Collapse
Affiliation(s)
- Sook‐Lei Liew
- Chan Division of Occupational Science and Occupational TherapyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of NeurologyUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of Biomedical Engineering, University of Southern CaliforniaLos AngelesCaliforniaUSA
- Neuroscience Graduate ProgramUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Artemis Zavaliangos‐Petropulu
- Department of NeurologyUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaLos AngelesCaliforniaUSA
- Neuroscience Graduate ProgramUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Imaging Genetics CenterUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Neda Jahanshad
- Department of NeurologyUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaLos AngelesCaliforniaUSA
- Imaging Genetics CenterUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Catherine E. Lang
- Program in Physical TherapyWashington University School of MedicineSt. LouisMissouriUSA
| | - Kathryn S. Hayward
- Department of Physiotherapyand Florey Institute of Neuroscience and Mental Health, University of MelbourneParkvilleVictoriaAustralia
- NHMRC Centre of Research Excellence in Stroke Rehabilitation and Brain Recovery, University of MelbourneParkvilleVictoriaAustralia
| | - Keith R. Lohse
- Department of Health, Kinesiology, and RecreationUniversity of UtahSalt Lake CityUtahUSA
- Department of Physical Therapy and Athletic TrainingUniversity of UtahSalt Lake CityUtahUSA
| | - Julia M. Juliano
- Neuroscience Graduate ProgramUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Francesca Assogna
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral NeurologyIRCCS Santa Lucia FoundationRomeItaly
| | - Lee A. Baugh
- Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South DakotaVermillionSouth DakotaUSA
- Sioux Falls VA Health Care SystemSioux FallsSouth DakotaUSA
| | - Anup K. Bhattacharya
- Mallinckrodt Institute of Radiology, Washington University School of MedicineSt. LouisMissouriUSA
| | - Bavrina Bigjahan
- Department of NeurologyUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of Radiology, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Michael R. Borich
- Department of Rehabilitation MedicineEmory UniversityAtlantaGeorgiaUSA
| | - Lara A. Boyd
- Department of Physical Therapy, Faculty of MedicineUniversity of British ColumbiaVancouverBritish ColumbiaCanada
- Djavad Mowafaghian Centre for Brain HealthVancouverBritish ColumbiaCanada
| | - Amy Brodtmann
- Florey Institute for Neuroscience and Mental Health, University of MelbourneParkvilleVictoriaAustralia
| | - Cathrin M. Buetefisch
- Department of Rehabilitation MedicineEmory UniversityAtlantaGeorgiaUSA
- Department of NeurologyEmory UniversityAtlantaGeorgiaUSA
| | - Winston D. Byblow
- Department of Exercise Sciences, Centre for Brain ResearchUniversity of AucklandAucklandNew Zealand
| | - Jessica M. Cassidy
- Division of Physical Therapy, Department Allied Health SciencesUniversity of North Carolina, Chapel HillChapel HillNorth CarolinaUSA
| | - Adriana B. Conforto
- Neurology Clinical Division, Hospital das Clínicas/São Paulo UniversitySão PauloBrazil
- Hospital Israelita Albert EinsteinSão PauloBrazil
| | - R. Cameron Craddock
- Department of Diagnostic MedicineThe University of Texas at Austin Dell Medical SchoolAustinTexasUSA
| | - Michael A. Dimyan
- Department of Neurology and Neurorehabilitation, School of MedicineUniversity of Maryland, BaltimoreBaltimoreMarylandUSA
- VA Maryland Health Care SystemBaltimoreMarylandUSA
| | - Adrienne N. Dula
- Department of Diagnostic MedicineThe University of Texas at Austin Dell Medical SchoolAustinTexasUSA
- Department of NeurologyDell Medical School at University of Texas at AustinAustinTexasUSA
| | - Elsa Ermer
- Department of Neurology and Neurorehabilitation, School of MedicineUniversity of Maryland, BaltimoreBaltimoreMarylandUSA
| | - Mark R. Etherton
- Department of NeurologyMassachusetts General HospitalBostonMassachusettsUSA
- J. Philip Kistler Stroke Research CenterHarvard Medical SchoolBostonMassachusettsUSA
| | - Kelene A. Fercho
- Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South DakotaVermillionSouth DakotaUSA
- Federal Aviation Administration, Civil Aerospace Medical InstituteOklahoma CityOklahomaUSA
| | - Chris M. Gregory
- Department of Health Sciences and ResearchMedical University of South CarolinaCharlestonSouth CarolinaUSA
| | - Shahram Hadidchi
- Department of RadiologyWayne State University/Detroit Medical CenterDetroitMichiganUSA
- Department of Internal MedicineWayne State University/Detroit Medical CenterDetroitMichiganUSA
| | - Jess A. Holguin
- Chan Division of Occupational Science and Occupational TherapyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Darryl H. Hwang
- Department of Radiology, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Simon Jung
- Department of Neurology, University of BernBernSwitzerland
| | - Steven A. Kautz
- Department of Health Sciences and ResearchMedical University of South CarolinaCharlestonSouth CarolinaUSA
- Ralph H Johnson VA Medical CenterCharlestonSouth CarolinaUSA
| | - Mohamed Salah Khlif
- Florey Institute for Neuroscience and Mental Health, University of MelbourneParkvilleVictoriaAustralia
| | - Nima Khoshab
- Department of Anatomy and NeurobiologyUniversity of CaliforniaIrvineCaliforniaUSA
| | - Bokkyu Kim
- Department of Physical Therapy EducationState University of New York Upstate Medical UniversitySyracuseNew YorkUSA
- Division of Biokinesiology and Physical TherapyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Hosung Kim
- Department of NeurologyUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Amy Kuceyeski
- Department of RadiologyWeill Cornell MedicineNew YorkNew YorkUSA
- Brain and Mind Research Institute, Weill Cornell MedicineNew YorkNew YorkUSA
| | - Martin Lotze
- Functional Imaging Unit, Center for Diagnostic RadiologySchool of Medicine, University of GreifswaldGreifswaldGermany
| | - Bradley J. MacIntosh
- Department of Medical BiophysicsUniversity of TorontoTorontoOntarioCanada
- Physical Sciences Platform, Brain Sciences ProgramSunnybrook Research InstituteTorontoOntarioCanada
| | - John L. Margetis
- Chan Division of Occupational Science and Occupational TherapyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Feroze B. Mohamed
- Department of RadiologyThomas Jefferson UniversityPhiladelphiaPennsylvaniaUSA
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral NeurologyIRCCS Santa Lucia FoundationRomeItaly
| | - Ander Ramos‐Murguialday
- TECNALIA, Basque Research and Technology Alliance (BRTA), Neurotechnology LaboratoryDerioSpain
- Institute of Medical Psychology and Behavioural Neurobiology, University of TubingenTübingenGermany
| | - Geneviève Richard
- Department of PsychologyUniversity of OsloOsloNorway
- NORMENT, Division of Mental Health and AddictionOslo University HospitalOsloNorway
- Institute of Clinical Medicine, University of OsloOsloNorway
| | - Pamela Roberts
- Department of Physical Medicine and RehabilitationCedars‐SinaiLos AngelesCaliforniaUSA
| | - Andrew D. Robertson
- Department of KinesiologyUniversity of WaterlooWaterlooOntarioCanada
- Schlegel‐UW Research Institute for Aging, University of WaterlooWaterlooOntarioCanada
| | - Jane M. Rondina
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Natalia S. Rost
- Stroke Division, Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Nerses Sanossian
- Division of Neurocritical Care and Stroke, Department of Neurology, Keck School of Medicine, University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Nicolas Schweighofer
- Division of Biokinesiology and Physical Therapy, University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Na Jin Seo
- Department of Health Sciences and ResearchMedical University of South CarolinaCharlestonSouth CarolinaUSA
- Ralph H Johnson VA Medical CenterCharlestonSouth CarolinaUSA
- Division of Occupational Therapy, Department of Health Professions, Medical University of South CarolinaCharlestonSouth CarolinaUSA
| | - Mark S. Shiroishi
- Division of Neuroradiology, Department of RadiologyKeck School of Medicine, University of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Surjo R. Soekadar
- Department of Psychiatry and Psychotherapy, Clinical Neurotechnology LaboratoryCharité ‐ University Medicine BerlinBerlinGermany
- Applied Neurotechnology Laboratory, Department of Psychiatry and PsychotherapyUniversity of TübingenTübingenGermany
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral NeurologyIRCCS Santa Lucia FoundationRomeItaly
- Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral SciencesBaylor College of MedicineHoustonTexasUSA
| | | | - Anisha Suri
- Department of Electrical and Computer EngineeringUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Wai Kwong W. Tang
- Department of PsychiatryThe Chinese University of Hong KongHong KongPeople's Republic of China
| | - Gregory T. Thielman
- Physical Therapy and Neuroscience, University of the SciencesPhiladelphiaPennsylvaniaUSA
- Samson CollegeQuezon CityPhilippines
| | - Daniela Vecchio
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral NeurologyIRCCS Santa Lucia FoundationRomeItaly
| | - Arno Villringer
- Department of NeurologyMax Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
- Department of Cognitive NeurologyUniversity Hospital LeipzigLeipzigGermany
- Center for Stroke Research, Charité‐Universitätsmedizin BerlinBerlinGermany
| | - Nick S. Ward
- UCL Queen Square Institute of Neurology, University College LondonLondonUK
| | - Emilio Werden
- Florey Institute for Neuroscience and Mental Health, University of MelbourneParkvilleVictoriaAustralia
| | - Lars T. Westlye
- Department of PsychologyUniversity of OsloOsloNorway
- NORMENT, Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Carolee Winstein
- Division of Biokinesiology and Physical Therapy, University of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of NeurologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - George F. Wittenberg
- Department of NeurologyUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of Veterans AffairsUniversity Drive CampusPittsburghPennsylvaniaUSA
| | - Kristin A. Wong
- Department of Physical Medicine and RehabilitationDell Medical School, University of Texas AustinAustinTexasUSA
| | - Chunshui Yu
- Department of RadiologyTianjin Medical University General HospitalTianjinChina
- Tianjin Key Laboratory of Functional ImagingTianjin Medical University General HospitalTianjinChina
| | - Steven C. Cramer
- Department of NeurologyUCLA and California Rehabilitation InstituteLos AngelesCaliforniaUSA
| | - Paul M. Thompson
- Department of NeurologyUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaLos AngelesCaliforniaUSA
- Imaging Genetics CenterUSC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern CaliforniaLos AngelesCaliforniaUSA
| |
Collapse
|
11
|
Suri A, VanSwearingen J, Redfern M, Sejdic E, Rosso A. Association Between Dual-Task Gait and Cognitive Function in Older Adults. Innov Aging 2021. [PMCID: PMC8682527 DOI: 10.1093/geroni/igab046.617] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Community mobility involves walking with physical and cognitive challenges. In older adults (N=116; results here from initial analyses: N=29, Age=75±5 years, 51% females), we assessed gait speed and smoothness (harmonic-ratio) while walking on even and uneven surfaces, with or without an alternate alphabeting dual-task (ABC). ANOVA assessed surface and dual-task effects; Pearson correlations compared gait with global cognition and executive function composite z-scores. The four conditions (even, uneven, even-ABC and uneven-ABC) affected speed(m/s) (0.97±0.14 vs 0.90±0.15 vs 0.83±0.17 vs 0.79±0.16). Smoothness (2.19±0.48 vs 1.89±0.38 vs 1.92±0.53 vs 1.7±0.43) was affected by only surface (controlled for speed). Greater speed was associated with better global cognition(ρ=0.47 to 0.49, p<0.05) for all conditions and with better executive function for even-ABC(ρ=0.39, p=0.04) and uneven-ABC(ρ=0.40, p=0.03). Executive function was associated with smoothness during even(ρp=-0.42, p=0.03) and uneven(ρp=-0.39, p=0.04) walking. Type of walking challenge differentially affects gait quality and associations with cognitive function.
Collapse
Affiliation(s)
- Anisha Suri
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Jessie VanSwearingen
- School of Health and Rehabilitation Sciences, Pittsburgh, Pennsylvania, United States
| | - Mark Redfern
- Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Ervin Sejdic
- Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Andrea Rosso
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| |
Collapse
|
12
|
Baillargeon E, Suri A, Chen N, Zhu X, Rosano C, Sejdic E, Huppert T, Rosso A. Prefrontal Activation is Associated With Gait Quality During an Attentional Task in Older Adults. Innov Aging 2021. [PMCID: PMC8969268 DOI: 10.1093/geroni/igab046.3521] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Prefrontal cortical activation varies by walking task and is a marker of attentional demand. We compared prefrontal activation by functional near-infrared spectroscopy (fNIRS) to accelerometry-derived gait quality. We hypothesized greater activation with lower gait quality (greater step-time coefficient-of-variation, decreased cadence, smoothness, regularity, and signal variability). Participants (n=114; age 74.4±6.0 years, 59.6% female) were independently ambulating individuals >64 years. Attentional (reciting every-other alphabet letter) and physical (uneven surface) challenges mimicked community mobility and provided four 15m walking conditions: even, uneven, ABC-even, and ABC-uneven. fNIRS data were referenced to quiet standing and averaged within left and right hemispheres. Gait metrics from a tri-axial accelerometer at the lower-back included cadence (steps/min), step-time coefficient-of-variation, signal variability (standard deviation), smoothness (harmonic ratio), and regularity (entropy). Associations between fNIRS and gait were quantified using Pearson correlations (α=0.05). Results were consistent across hemispheres, gait axes, and robust to adjustment for age and gait speed; we report unadjusted coefficients for left hemisphere and anterior-posterior gait direction. Greater prefrontal activation was associated with slower cadence (r=-0.220, p=0.019), lower signal variability (r=-0.228, p=0.015), and reduced smoothness (r=-0.194, p=0.039) during ABC-even. No relation was observed for step-time coefficient-of-variation or regularity. Results were similar for the ABC-uneven condition, except there was no association with gait smoothness but was with step-time coefficient-of-variation (r=0.25, p=0.007). Prefrontal activation was not correlated to gait quality in non-ABC conditions. Our findings support our hypothesis only during the ABC challenge, suggesting that older adults may rely on prefrontal activation to complete attentional but not physical challenges during gait.
Collapse
Affiliation(s)
- Emma Baillargeon
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Anisha Suri
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Nemin Chen
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Xiaonan Zhu
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Caterina Rosano
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Ervin Sejdic
- Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Theodore Huppert
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Andrea Rosso
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| |
Collapse
|
13
|
Liew SL, Zavaliangos-Petropulu A, Schweighofer N, Jahanshad N, Lang CE, Lohse KR, Banaj N, Barisano G, Baugh LA, Bhattacharya AK, Bigjahan B, Borich MR, Boyd LA, Brodtmann A, Buetefisch CM, Byblow WD, Cassidy JM, Charalambous CC, Ciullo V, Conforto AB, Craddock RC, Dula AN, Egorova N, Feng W, Fercho KA, Gregory CM, Hanlon CA, Hayward KS, Holguin JA, Hordacre B, Hwang DH, Kautz SA, Khlif MS, Kim B, Kim H, Kuceyeski A, Lo B, Liu J, Lin D, Lotze M, MacIntosh BJ, Margetis JL, Mohamed FB, Nordvik JE, Petoe MA, Piras F, Raju S, Ramos-Murguialday A, Revill KP, Roberts P, Robertson AD, Schambra HM, Seo NJ, Shiroishi MS, Soekadar SR, Spalletta G, Stinear CM, Suri A, Tang WK, Thielman GT, Thijs VN, Vecchio D, Ward NS, Westlye LT, Winstein CJ, Wittenberg GF, Wong KA, Yu C, Wolf SL, Cramer SC, Thompson PM. Smaller spared subcortical nuclei are associated with worse post-stroke sensorimotor outcomes in 28 cohorts worldwide. Brain Commun 2021; 3:fcab254. [PMID: 34805997 PMCID: PMC8598999 DOI: 10.1093/braincomms/fcab254] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 08/06/2021] [Accepted: 09/06/2021] [Indexed: 11/17/2022] Open
Abstract
Up to two-thirds of stroke survivors experience persistent sensorimotor impairments. Recovery relies on the integrity of spared brain areas to compensate for damaged tissue. Deep grey matter structures play a critical role in the control and regulation of sensorimotor circuits. The goal of this work is to identify associations between volumes of spared subcortical nuclei and sensorimotor behaviour at different timepoints after stroke. We pooled high-resolution T1-weighted MRI brain scans and behavioural data in 828 individuals with unilateral stroke from 28 cohorts worldwide. Cross-sectional analyses using linear mixed-effects models related post-stroke sensorimotor behaviour to non-lesioned subcortical volumes (Bonferroni-corrected, P < 0.004). We tested subacute (≤90 days) and chronic (≥180 days) stroke subgroups separately, with exploratory analyses in early stroke (≤21 days) and across all time. Sub-analyses in chronic stroke were also performed based on class of sensorimotor deficits (impairment, activity limitations) and side of lesioned hemisphere. Worse sensorimotor behaviour was associated with a smaller ipsilesional thalamic volume in both early (n = 179; d = 0.68) and subacute (n = 274, d = 0.46) stroke. In chronic stroke (n = 404), worse sensorimotor behaviour was associated with smaller ipsilesional putamen (d = 0.52) and nucleus accumbens (d = 0.39) volumes, and a larger ipsilesional lateral ventricle (d = -0.42). Worse chronic sensorimotor impairment specifically (measured by the Fugl-Meyer Assessment; n = 256) was associated with smaller ipsilesional putamen (d = 0.72) and larger lateral ventricle (d = -0.41) volumes, while several measures of activity limitations (n = 116) showed no significant relationships. In the full cohort across all time (n = 828), sensorimotor behaviour was associated with the volumes of the ipsilesional nucleus accumbens (d = 0.23), putamen (d = 0.33), thalamus (d = 0.33) and lateral ventricle (d = -0.23). We demonstrate significant relationships between post-stroke sensorimotor behaviour and reduced volumes of deep grey matter structures that were spared by stroke, which differ by time and class of sensorimotor measure. These findings provide additional insight into how different cortico-thalamo-striatal circuits support post-stroke sensorimotor outcomes.
Collapse
Affiliation(s)
- Sook-Lei Liew
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
- Keck School of Medicine, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA
| | - Artemis Zavaliangos-Petropulu
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Nicolas Schweighofer
- Biokinesiology and Physical Therapy, Ostrow School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Catherine E Lang
- Departments of Physical Therapy, Washington University School of Medicine, St. Louis, MO, USA
- Department of Occupational Therapy, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Keith R Lohse
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, USA
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Giuseppe Barisano
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
- Laboratory of Neuro Imaging, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lee A Baugh
- Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA
- Sioux Falls VA Health Care System, Sioux Falls, SD, USA
- Center for Brain and Behavior Research, Vermillion, SD, USA
- Sanford Research, Sioux Falls, SD, USA
| | - Anup K Bhattacharya
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Bavrina Bigjahan
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Michael R Borich
- Department of Rehabilitation Medicine, Emory University, Atlanta, GA, USA
| | - Lara A Boyd
- Department of Physical Therapy & the Djavad Mowafaghian Centre for Brain Health, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Amy Brodtmann
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
- Eastern Cognitive Disorders Clinic, Monash University, Melbourne, VIC, Australia
| | - Cathrin M Buetefisch
- Department of Rehabilitation Medicine, Emory University, Atlanta, GA, USA
- Department of Neurology, School of Medicine, Emory University, Atlanta, GA, USA
- Department of Radiology, Emory University, Atlanta, GA, USA
| | - Winston D Byblow
- Department of Exercise Sciences and Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Jessica M Cassidy
- Allied Health Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Charalambos C Charalambous
- Department of Basic and Clinical Sciences, University of Nicosia Medical School, Nicosia, Cyprus
- Center for Neuroscience and Integrative Brain Research (CENIBRE), University of Nicosia Medical School, Nicosia, Cyprus
| | - Valentina Ciullo
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Adriana B Conforto
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil
- Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
| | - Richard C Craddock
- Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Adrienne N Dula
- Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Natalia Egorova
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Wuwei Feng
- Department of Health Sciences & Research, Medical University of South Carolina, Charleston, SC, USA
| | - Kelene A Fercho
- Civil Aerospace Medical Institute, US Federal Aviation Administration, Oklahoma City, OK, USA
- Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA
| | - Chris M Gregory
- Department of Health Sciences & Research, Medical University of South Carolina, Charleston, SC, USA
| | - Colleen A Hanlon
- Cancer Biology, Wake Forest School of Medicine, Winston Salem, NC, USA
- College of Health Professions, Medical University of South Carolina, Charleston, SC, USA
| | - Kathryn S Hayward
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
- Department of Physiotherapy, University of Melbourne, Heidelberg, VIC, Australia
- NHMRC CRE in Stroke Rehabilitation and Brain Recovery, University of Melbourne, Heidelberg, VIC, Australia
| | - Jess A Holguin
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Brenton Hordacre
- Innovation, IMPlementation and Clinical Translation (IIMPACT) in Health, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
| | - Darryl H Hwang
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Steven A Kautz
- Department of Health Sciences & Research, Medical University of South Carolina, Charleston, SC, USA
- Ralph H. Johnson VA Medical Center, Charleston, SC, USA
| | - Mohamed Salah Khlif
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
| | - Bokkyu Kim
- Department of Physical Therapy Education, College of Health Professions, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Hosung Kim
- Keck School of Medicine, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA
| | - Amy Kuceyeski
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Bethany Lo
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Jingchun Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - David Lin
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Martin Lotze
- Department of Diagnostic Radiology, University Medicine Greifswald, Greifswald, Germany
| | - Bradley J MacIntosh
- Hurvitz Brain Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - John L Margetis
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
| | - Feroze B Mohamed
- Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA
| | | | - Matthew A Petoe
- Bionics Institute, Melbourne, VIC, Australia
- Department of Medicine and Centre for Brain Research, University of Auckland, Auckland, New Zealand
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Sharmila Raju
- Department of Neurology, New York University Langone, New York, NY, USA
| | - Ander Ramos-Murguialday
- TECNALIA, Basque Research and Technology Alliance (BRTA), Health Division, San Sebastian Donostia, Spain
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
| | - Kate P Revill
- Facility for Education and Research in Neuroscience, Emory University, Atlanta, GA, USA
| | - Pamela Roberts
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, USA
- Department of Physical Medicine and Rehabilitation, Cedars-Sinai, Los Angeles, CA, USA
- California Rehabilitation Institute, Los Angeles, CA, USA
| | - Andrew D Robertson
- Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Department of Kinesiology, University of Waterloo, Waterloo, ON, Canada
| | - Heidi M Schambra
- Department of Neurology, New York University Langone, New York, NY, USA
| | - Na Jin Seo
- Department of Health Sciences & Research, Medical University of South Carolina, Charleston, SC, USA
- Ralph H. Johnson VA Medical Center, Charleston, SC, USA
- Department of Rehabilitation Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Mark S Shiroishi
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
- Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Surjo R Soekadar
- Clinical Neurotechnology Laboratory, Department of Psychiatry and Psychotherapy, Charité - University Medicine Berlin, Berlin, Germany
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
- Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Cathy M Stinear
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Anisha Suri
- Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Wai Kwong Tang
- Department of Psychiatry, Faculty of Medicine, the Chinese University of Hong Kong, Hong Kong, China
| | - Gregory T Thielman
- Department of Physical Therapy and Neuroscience, University of the Sciences, Philadelphia, PA, USA
| | - Vincent N Thijs
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Heidelberg, VIC, Australia
- Department of Neurology, Austin Health, Heidelberg, VIC, Australia
| | - Daniela Vecchio
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Nick S Ward
- UCL Queen Square Institute of Neurology, London, UK
| | - Lars T Westlye
- Department of Psychology, University of Oslo, Oslo, Norway
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Carolee J Winstein
- Biokinesiology and Physical Therapy, Ostrow School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | - George F Wittenberg
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
- Neurology, Department of Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - Kristin A Wong
- Department of Physical Medicine & Rehabilitation, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Chunshui Yu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Steven L Wolf
- Division of Physical Therapy Education, Department of Rehabilitation Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Division of Physical Therapy Education, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Division of Physical Therapy Education, Department of Cell Biology, Emory University School of Medicine, Atlanta, GA, USA
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA
- Center for Visual and Neurocognitive Rehabilitation, Atlanta VA Health Care System, Decatur, GA, USA
| | - Steven C Cramer
- California Rehabilitation Institute, Los Angeles, CA, USA
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| |
Collapse
|
14
|
Suri A, Rosso AL, VanSwearingen J, Coffman LM, Redfern MS, Brach JS, Sejdić E. Mobility of Older Adults: Gait Quality Measures are associated with Life-Space Assessment Scores. J Gerontol A Biol Sci Med Sci 2021; 76:e299-e306. [PMID: 34038537 DOI: 10.1093/gerona/glab151] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [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: 01/26/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The relation of gait quality to real-life mobility among older adults is poorly understood. This study examined the association between gait quality, consisting of step variability, smoothness, regularity, symmetry and gait speed with the Life-Space Assessment (LSA). METHODS In community-dwelling older adults (N=232, age 77.5±6.6, 65% females), gait quality was derived from: a) an instrumented walkway: gait speed, variability and walk-ratio; and b) accelerometer: signal variability, smoothness, regularity, symmetry, and time-frequency spatiotemporal variables during 6-minute walk. In addition to collecting LSA scores, cognitive functioning, walking-confidence, and falls were recorded. Spearman correlations (speed as covariate) and Random Forest Regression were used to assess associations between gait quality and LSA, and Gaussian-mixture modeling (GMM) was used to cluster participants. RESULTS Spearman correlations of ρp=0.11 (signal amplitude variability ML), ρp=0.15, ρp=-0.13 (symmetry AP-V, ML-AP), ρp=0.16 (power V) and ρ=0.26 (speed), all p<0.05 and marginally related, ρp=-0.12 (regularity V), ρp=0.11 (smoothness AP) and ρp=-0.11 (step-time variability), p<0.1 were obtained. The cross-validated Random Forest model indicated good fit LSA prediction error of 17.77; gait and cognition were greater contributors than age and gender. GMM indicated two clusters. Group-1(N=189) had better gait quality than Group-2(N=43): greater smoothness AP (2.94±0.75 vs 2.30±0.71); greater similarity AP-V (0.58±0.13 vs 0.40±0.19); lower regularity V (0.83±0.08 vs 0.87±0.10); greater power V (1.86±0.18 vs 0.97±1.84); greater speed (1.09±0.16 vs 1.00±0.16 m/s); lower step time CoV (3.70±1.09 vs 5.09±2.37) and better LSA (76±18 vs 67±18), padjusted<0.004. CONCLUSIONS Gait quality measures taken in the clinic are associated with real-life mobility in the community.
Collapse
Affiliation(s)
- Anisha Suri
- Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh
| | - Andrea L Rosso
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh
| | - Jessie VanSwearingen
- Department of Physical Therapy, School of Rehabilitation Sciences, University of Pittsburgh, Pittsburgh
| | - Leslie M Coffman
- Department of Physical Therapy, School of Rehabilitation Sciences, University of Pittsburgh, Pittsburgh
| | - Mark S Redfern
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh
| | - Jennifer S Brach
- Department of Physical Therapy, School of Rehabilitation Sciences, University of Pittsburgh, Pittsburgh
| | - Ervin Sejdić
- Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh.,Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh
| |
Collapse
|
15
|
Allen T, Awais M, Bailenson JN, Bhattacharjee M, Biswas U, Bouzid Z, Bullock K, Celik Y, Clark CC, Clark RA, Coulby G, Dahiya R, Dodd LE, Drehlich M, Duncan O, Gage WH, Ganti RK, Godfrey A, Goh CH, Gower S, Greenleaf W, Harte R, Heywood S, Hickey A, Hosseini ES, Hough EJ, Javed E, Johnston W, Kahn M, Kettley S, Khalid M, Khalifa Y, Kim J, King L, Lim E, Lovell NH, Mancin M, Manjakkal L, Mao S, Marchiori E, Marshall SJ, Martini DN, Mohammadian Rad N, Moore J, Morris R, Nouredanesh M, Ó Laighin G, Ooi SY, Ooteghem KV, Paranthaman VV, Parrington L, Pettigrew N, Powell D, Pua Y, Quinlan L, Raza M, Redmond SJ, Ridgers ND, Scanlan K, Sejdic E, Shepherd J, Shu K, Singh N, Srivatsa M, Stuart S, Suri A, Tan HH, Thilarajah S, Torun H, Trojaniello D, Tung J, Tyler D, Weiss TL, Wilhelm J, Williams G, Wood D, Wood J, Young F, Zhang Z. List of contributors. Digit Health 2021. [DOI: 10.1016/b978-0-12-818914-6.00027-2] [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: 11/28/2022] Open
|
16
|
Suri A, Rosso A, VanSwearingen J, Torres-Oviedo G, Coffman L, Redfern M, Brach J, Sejdic E. Fear of Falling and Walking Quality: What Your Walking Reveals. Innov Aging 2020. [PMCID: PMC7741714 DOI: 10.1093/geroni/igaa057.3374] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Fear of Falling (FOF) is common among community-dwelling older adults and is associated with increased fall-risk. In this cross-sectional study we examined the relationships between FOF and factors associated with fall-risk such as gait quality, cognition, and walking-confidence. Using baseline data from older adult participants in a randomized exercise trial (N=232; age 77±6; 65% females; 40% reported FOF), we quantified the following outcome measure for (1) gait quality: harmonic ratio (smoothness) and time-frequency spatiotemporal variables from triaxial accelerometry during 6 minute walk; gait speed, step-time CoV (variability) and walk-ratio (step-length/cadence) on an instrumented walkway; (2) cognition: Trails A and B (3) walking-confidence: Gait efficacy Scale. Mann Whitney U-tests indicated individuals without FOF had better gait quality (p<0.05): greater smoothness (2.38±.58 vs 1.14±.73), speed (1.10±.15 vs 1.04±.17 m/s) and walk-ratio (.56±.07 vs .53±.08 cm/steps/min), lower step-time CoV (3.72±1.24 vs 4.17±1.66), and greater walking-confidence (89±11 vs 79±13). A random forest classifier predicted FOF with 64% (gait only) and 70% (additional variables: cognition, walking-confidence) accuracy; Gini-index based ranking indicated gait quality (smoothness vertical (V) direction, walking speed) were consistently important variables. Linear Support Vector Machine learning yielded accuracies of 60% (only gait) and 68% (with additional measures): smoothness V, mediolateral frequency bandwidth, gait speed among top 4 ranked variables in both models, and walking-confidence in the additional measures model; smoothness-V the highest weighted coefficient (-0.52). Based on these findings, interventions targeted for gait quality and walking-confidence may be important to overcome FOF and reduce fall risks.
Collapse
Affiliation(s)
- Anisha Suri
- Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Andrea Rosso
- School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Jessie VanSwearingen
- School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Gelsy Torres-Oviedo
- Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Leslie Coffman
- School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Mark Redfern
- Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Jennifer Brach
- School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Ervin Sejdic
- Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| |
Collapse
|
17
|
McLean KA, Ahmed WUR, Akhbari M, Claireaux HA, English C, Frost J, Henshall DE, Khan M, Kwek I, Nicola M, Rehman S, Varghese S, Drake TM, Bell S, Nepogodiev D, McLean KA, Drake TM, Glasbey JC, Borakati A, Drake TM, Kamarajah S, McLean KA, Bath MF, Claireaux HA, Gundogan B, Mohan M, Deekonda P, Kong C, Joyce H, Mcnamee L, Woin E, Burke J, Khatri C, Fitzgerald JE, Harrison EM, Bhangu A, Nepogodiev D, Arulkumaran N, Bell S, Duthie F, Hughes J, Pinkney TD, Prowle J, Richards T, Thomas M, Dynes K, Patel M, Patel P, Wigley C, Suresh R, Shaw A, Klimach S, Jull P, Evans D, Preece R, Ibrahim I, Manikavasagar V, Smith R, Brown FS, Deekonda P, Teo R, Sim DPY, Borakati A, Logan AE, Barai I, Amin H, Suresh S, Sethi R, Bolton W, Corbridge O, Horne L, Attalla M, Morley R, Robinson C, Hoskins T, McAllister R, Lee S, Dennis Y, Nixon G, Heywood E, Wilson H, Ng L, Samaraweera S, Mills A, Doherty C, Woin E, Belchos J, Phan V, Chouari T, Gardner T, Goergen N, Hayes JDB, MacLeod CS, McCormack R, McKinley A, McKinstry S, Milligan W, Ooi L, Rafiq NM, Sammut T, Sinclair E, Smith M, Baker C, Boulton APR, Collins J, Copley HC, Fearnhead N, Fox H, Mah T, McKenna J, Naruka V, Nigam N, Nourallah B, Perera S, Qureshi A, Saggar S, Sun L, Wang X, Yang DD, Caroll P, Doyle C, Elangovan S, Falamarzi A, Perai KG, Greenan E, Jain D, Lang-Orsini M, Lim S, O'Byrne L, Ridgway P, Van der Laan S, Wong J, Arthur J, Barclay J, Bradley P, Edwin C, Finch E, Hayashi E, Hopkins M, Kelly D, Kelly M, McCartan N, Ormrod A, Pakenham A, Hayward J, Hitchen C, Kishore A, Martins T, Philomen J, Rao R, Rickards C, Burns N, Copeland M, Durand C, Dyal A, Ghaffar A, Gidwani A, Grant M, Gribbon C, Gruhn A, Leer M, Ahmad K, Beattie G, Beatty M, Campbell G, Donaldson G, Graham S, Holmes D, Kanabar S, Liu H, McCann C, Stewart R, Vara S, Ajibola-Taylor O, Andah EJE, Ani C, Cabdi NMO, Ito G, Jones M, Komoriyama A, Patel P, Titu L, Basra M, Gallogly P, Harinath G, Leong SH, Pradhan A, Siddiqui I, Zaat S, Ali A, Galea M, Looi WL, Ng JCK, Atkin G, Azizi A, Cargill Z, China Z, Elliot J, Jebakumar R, Lam J, Mudalige G, Onyerindu C, Renju M, Babu VS, Hussain M, Joji N, Lovett B, Mownah H, Ali B, Cresswell B, Dhillon AK, Dupaguntla YS, Hungwe C, Lowe-Zinola JD, Tsang JCH, Bevan K, Cardus C, Duggal A, Hossain S, McHugh M, Scott M, Chan F, Evans R, Gurung E, Haughey B, Jacob-Ramsdale B, Kerr M, Lee J, McCann E, O'Boyle K, Reid N, Hayat F, Hodgson S, Johnston R, Jones W, Khan M, Linn T, Long S, Seetharam P, Shaman S, Smart B, Anilkumar A, Davies J, Griffith J, Hughes B, Islam Y, Kidanu D, Mushaini N, Qamar I, Robinson H, Schramm M, Tan CY, Apperley H, Billyard C, Blazeby JM, Cannon SP, Carse S, Göpfert A, Loizidou A, Parkin J, Sanders E, Sharma S, Slade G, Telfer R, Huppatz IW, Worley E, Chandramoorthy L, Friend C, Harris L, Jain P, Karim MJ, Killington K, McGillicuddy J, Rafferty C, Rahunathan N, Rayne T, Varathan Y, Verma N, Zanichelli D, Arneill M, Brown F, Campbell B, Crozier L, Henry J, McCusker C, Prabakaran P, Wilson R, Asif U, Connor M, Dindyal S, Math N, Pagarkar A, Saleem H, Seth I, Sharma S, Standfield N, Swartbol T, Adamson R, Choi JE, El Tokhy O, Ho W, Javaid NR, Kelly M, Mehdi AS, Menon D, Plumptre I, Sturrock S, Turner J, Warren O, Crane E, Ferris B, Gadsby C, Smallwood J, Vipond M, Wilson V, Amarnath T, Doshi A, Gregory C, Kandiah K, Powell B, Spoor H, Toh C, Vizor R, Common M, Dunleavy K, Harris S, Luo C, Mesbah Z, Kumar AP, Redmond A, Skulsky S, Walsh T, Daly D, Deery L, Epanomeritakis E, Harty M, Kane D, Khan K, Mackey R, McConville J, McGinnity K, Nixon G, Ang A, Kee JY, Leung E, Norman S, Palaniappan SV, Sarathy PP, Yeoh T, Frost J, Hazeldine P, Jones L, Karbowiak M, Macdonald C, Mutarambirwa A, Omotade A, Runkel M, Ryan G, Sawers N, Searle C, Suresh S, Vig S, Ahmad A, McGartland R, Sim R, Song A, Wayman J, Brown R, Chang LH, Concannon K, Crilly C, Arnold TJ, Burgin A, Cadden F, Choy CH, Coleman M, Lim D, Luk J, Mahankali-Rao P, Prudence-Taylor AJ, Ramakrishnan D, Russell J, Fawole A, Gohil J, Green B, Hussain A, McMenamin L, McMenamin L, Tang M, Azmi F, Benchetrit S, Cope T, Haque A, Harlinska A, Holdsworth R, Ivo T, Martin J, Nisar T, Patel A, Sasapu K, Trevett J, Vernet G, Aamir A, Bird C, Durham-Hall A, Gibson W, Hartley J, May N, Maynard V, Johnson S, Wood CM, O'Brien M, Orbell J, Stringfellow TD, Tenters F, Tresidder S, Cheung W, Grant A, Tod N, Bews-Hair M, Lim ZH, Lim SW, Vella-Baldacchino M, Auckburally S, Chopada A, Easdon S, Goodson R, McCurdie F, Narouz M, Radford A, Rea E, Taylor O, Yu T, Alfa-Wali M, Amani L, Auluck I, Bruce P, Emberton J, Kumar R, Lagzouli N, Mehta A, Murtaza A, Raja M, Dennahy IS, Frew K, Given A, He YY, Karim MA, MacDonald E, McDonald E, McVinnie D, Ng SK, Pettit A, Sim DPY, Berthaume-Hawkins SD, Charnley R, Fenton K, Jones D, Murphy C, Ng JQ, Reehal R, Robinson H, Seraj SS, Shang E, Tonks A, White P, Yeo A, Chong P, Gabriel R, Patel N, Richardson E, Symons L, Aubrey-Jones D, Dawood S, Dobrzynska M, Faulkner S, Griffiths H, Mahmood F, Patel P, Perry M, Power A, Simpson R, Ali A, Brobbey P, Burrows A, Elder P, Ganyani R, Horseman C, Hurst P, Mann H, Marimuthu K, McBride S, Pilsworth E, Powers N, Stanier P, Innes R, Kersey T, Kopczynska M, Langasco N, Patel N, Rajagopal R, Atkins B, Beasley W, Lim ZC, Gill A, Ang HL, Williams H, Yogeswara T, Carter R, Fam M, Fong J, Latter J, Long M, Mackinnon S, McKenzie C, Osmanska J, Raghuvir V, Shafi A, Tsang K, Walker L, Bountra K, Coldicutt O, Fletcher D, Hudson S, Iqbal S, Bernal TL, Martin JWB, Moss-Lawton F, Smallwood J, Vipond M, Cardwell A, Edgerton K, Laws J, Rai A, Robinson K, Waite K, Ward J, Youssef H, Knight C, Koo PY, Lazarou A, Stanger S, Thorn C, Triniman MC, Botha A, Boyles L, Cumming S, Deepak S, Ezzat A, Fowler AJ, Gwozdz AM, Hussain SF, Khan S, Li H, Morrell BL, Neville J, Nitiahpapand R, Pickering O, Sagoo H, Sharma E, Welsh K, Denley S, Khan S, Agarwal M, Al-Saadi N, Bhambra R, Gupta A, Jawad ZAR, Jiao LR, Khan K, Mahir G, Singagireson S, Thoms BL, Tseu B, Wei R, Yang N, Britton N, Leinhardt D, Mahfooz M, Palkhi A, Price M, Sheikh S, Barker M, Bowley D, Cant M, Datta U, Farooqi M, Lee A, Morley G, Amin MN, Parry A, Patel S, Strang S, Yoganayagam N, Adlan A, Chandramoorthy S, Choudhary Y, Das K, Feldman M, France B, Grace R, Puddy H, Soor P, Ali M, Dhillon P, Faraj A, Gerard L, Glover M, Imran H, Kim S, Patrick Y, Peto J, Prabhudesai A, Smith R, Tang A, Vadgama N, Dhaliwal R, Ecclestone T, Harris A, Ong D, Patel D, Philp C, Stewart E, Wang L, Wong E, Xu Y, Ashaye T, Fozard T, Galloway F, Kaptanis S, Mistry P, Nguyen T, Olagbaiye F, Osman M, Philip Z, Rembacken R, Tayeh S, Theodoropoulou K, Herman A, Lau J, Saha A, Trotter M, Adeleye O, Cave D, Gunwa T, Magalhães J, Makwana S, Mason R, Parish M, Regan H, Renwick P, Roberts G, Salekin D, Sivakumar C, Tariq A, Liew I, McDade A, Stewart D, Hague M, Hudson-Peacock N, Jackson CES, James F, Pitt J, Walker EY, Aftab R, Ang JJ, Anwar S, Battle J, Budd E, Chui J, Crook H, Davies P, Easby S, Hackney E, Ho B, Imam SZ, Rammell J, Andrews H, Perry C, Schinle P, Ahmed P, Aquilina T, Balai E, Church M, Cumber E, Curtis A, Davies G, Dennis Y, Dumann E, Greenhalgh S, Kim P, King S, Metcalfe KHM, Passby L, Redgrave N, Soonawalla Z, Waters S, Zornoza A, Gulzar I, Hole J, Hull K, Ishaq H, Karaj J, Kelkar A, Love E, Patel S, Thakrar D, Vine M, Waterman A, Dib NP, Francis N, Hanson M, Ingleton R, Sadanand KS, Sukirthan N, Arnell S, Ball M, Bassam N, Beghal G, Chang A, Dawe V, George A, Huq T, Hussain A, Ikram B, Kanapeckaite L, Khan M, Ramjas D, Rushd A, Sait S, Serry M, Yardimci E, Capella S, Chenciner L, Episkopos C, Karam E, McCarthy C, Moore-Kelly W, Watson N, Ahluwalia V, Barnfield J, Ben-Gal O, Bloom I, Gharatya A, Khodatars K, Merchant N, Moonan A, Moore M, Patel K, Spiers H, Sundaram K, Turner J, Bath MF, Black J, Chadwick H, Huisman L, Ingram H, Khan S, Martin L, Metcalfe M, Sangal P, Seehra J, Thatcher A, Venturini S, Whitcroft I, Afzal Z, Brown S, Gani A, Gomaa A, Hussein N, Oh SY, Pazhaniappan N, Sharkey E, Sivagnanasithiyar T, Williams C, Yeung J, Cruddas L, Gurjar S, Pau A, Prakash R, Randhawa R, Chen L, Eiben I, Naylor M, Osei-Bordom D, Trenear R, Bannard-Smith J, Griffiths N, Patel BY, Saeed F, Abdikadir H, Bennett M, Church R, Clements SE, Court J, Delvi A, Hubert J, Macdonald B, Mansour F, Patel RR, Perris R, Small S, Betts A, Brown N, Chong A, Croitoru C, Grey A, Hickland P, Ho C, Hollington D, McKie L, Nelson AR, Stewart H, Eiben P, Nedham M, Ali I, Brown T, Cumming S, Hunt C, Joyner C, McAlinden C, Roberts J, Rogers D, Thachettu A, Tyson N, Vaughan R, Verma N, Yasin T, Andrew K, Bhamra N, Leong S, Mistry R, Noble H, Rashed F, Walker NR, Watson L, Worsfold M, Yarham E, Abdikadir H, Arshad A, Barmayehvar B, Cato L, Chan-lam N, Do V, Leong A, Sheikh Z, Zheleniakova T, Coppel J, Hussain ST, Mahmood R, Nourzaie R, Prowle J, Sheik-Ali S, Thomas A, Alagappan A, Ashour R, Bains H, Diamond J, Gordon J, Ibrahim B, Khalil M, Mittapalli D, Neo YN, Patil P, Peck FS, Reza N, Swan I, Whyte M, Chaudhry S, Hernon J, Khawar H, O'Brien J, Pullinger M, Rothnie K, Ujjal S, Bhatte S, Curtis J, Green S, Mayer A, Watkinson G, Chapple K, Hawthorne T, Khaliq M, Majkowski L, Malik TAM, Mclauchlan K, En BNW, Parton S, Robinson SD, Saat MI, Shurovi BN, Varatharasasingam K, Ward AE, Behranwala K, Bertelli M, Cohen J, Duff F, Fafemi O, Gupta R, Manimaran M, Mayhew J, Peprah D, Wong MHY, Farmer N, Houghton C, Kandhari N, Khan K, Ladha D, Mayes J, McLennan F, Panahi P, Seehra H, Agrawal R, Ahmed I, Ali S, Birkinshaw F, Choudhry M, Gokani S, Harrogate S, Jamal S, Nawrozzadeh F, Swaray A, Szczap A, Warusavitarne J, Abdalla M, Asemota N, Cullum R, Hartley M, Maxwell-Armstrong C, Mulvenna C, Phillips J, Yule A, Ahmed L, Clement KD, Craig N, Elseedawy E, Gorman D, Kane L, Livie J, Livie V, Moss E, Naasan A, Ravi F, Shields P, Zhu Y, Archer M, Cobley H, Dennis R, Downes C, Guevel B, Lamptey E, Murray H, Radhakrishnan A, Saravanabavan S, Sardar M, Shaw C, Tilliridou V, Wright R, Ye W, Alturki N, Helliwell R, Jones E, Kelly D, Lambotharan S, Scott K, Sivakumar R, Victor L, Boraluwe-Rallage H, Froggatt P, Haynes S, Hung YMA, Keyte A, Matthews L, Evans E, Haray P, John I, Mathivanan A, Morgan L, Oji O, Okorocha C, Rutherford A, Spiers H, Stageman N, Tsui A, Whitham R, Amoah-Arko A, Cecil E, Dietrich A, Fitzpatrick H, Guy C, Hair J, Hilton J, Jawad L, McAleer E, Taylor Z, Yap J, Akhbari M, Debnath D, Dhir T, Elbuzidi M, Elsaddig M, Glace S, Khawaja H, Koshy R, Lal K, Lobo L, McDermott A, Meredith J, Qamar MA, Vaidya A, Acquaah F, Barfi L, Carter N, Gnanappiragasam D, Ji C, Kaminski F, Lawday S, Mackay K, Sulaiman SK, Webb R, Ananthavarathan P, Dalal F, Farrar E, Hashemi R, Hossain M, Jiang J, Kiandee M, Lex J, Mason L, Matthews JH, McGeorge E, Modhwadia S, Pinkney T, Radotra A, Rickard L, Rodman L, Sales A, Tan KL, Bachi A, Bajwa DS, Battle J, Brown LR, Butler A, Calciu A, Davies E, Gardner I, Girdlestone T, Ikogho O, Keelan G, O'Loughlin P, Tam J, Elias J, Ngaage M, Thompson J, Bristow S, Brock E, Davis H, Pantelidou M, Sathiyakeerthy A, Singh K, Chaudhry A, Dickson G, Glen P, Gregoriou K, Hamid H, Mclean A, Mehtaji P, Neophytou G, Potts S, Belgaid DR, Burke J, Durno J, Ghailan N, Hanson M, Henshaw V, Nazir UR, Omar I, Riley BJ, Roberts J, Smart G, Van Winsen K, Bhatti A, Chan M, D'Auria M, Green S, Keshvala C, Li H, Maxwell-Armstrong C, Michaelidou M, Simmonds L, Smith C, Wimalathasan A, Abbas J, Cairns C, Chin YR, Connelly A, Moug S, Nair A, Svolkinas D, Coe P, Subar D, Wang H, Zaver V, Brayley J, Cookson P, Cunningham L, Gaukroger A, Ho M, Hough A, King J, O'Hagan D, Widdison A, Brown R, Brown B, Chavan A, Francis S, Hare L, Lund J, Malone N, Mavi B, McIlwaine A, Rangarajan S, Abuhussein N, Campbell HS, Daniels J, Fitzgerald I, Mansfield S, Pendrill A, Robertson D, Smart YW, Teng T, Yates J, Belgaumkar A, Katira A, Kossoff J, Kukran S, Laing C, Mathew B, Mohamed T, Myers S, Novell R, Phillips BL, Thomas M, Turlejski T, Turner S, Varcada M, Warren L, Wynell-Mayow W, Church R, Linley-Adams L, Osborn G, Saunders M, Spencer R, Srikanthan M, Tailor S, Tullett A, Ali M, Al-Masri S, Carr G, Ebhogiaye O, Heng S, Manivannan S, Manley J, McMillan LE, Peat C, Phillips B, Thomas S, Whewell H, Williams G, Bienias A, Cope EA, Courquin GR, Day L, Garner C, Gimson A, Harris C, Markham K, Moore T, Nadin T, Phillips C, Subratty SM, Brown K, Dada J, Durbacz M, Filipescu T, Harrison E, Kennedy ED, Khoo E, Kremel D, Lyell I, Pronin S, Tummon R, Ventre C, Walls L, Wootton E, Akhtar A, Davies E, El-Sawy D, Farooq M, Gaddah M, Griffiths H, Katsaiti I, Khadem N, Leong K, Williams I, Chean CS, Chudek D, Desai H, Ellerby N, Hammad A, Malla S, Murphy B, Oshin O, Popova P, Rana S, Ward T, Abbott TEF, Akpenyi O, Edozie F, El Matary R, English W, Jeyabaladevan S, Morgan C, Naidu V, Nicholls K, Peroos S, Prowle J, Sansome S, Torrance HD, Townsend D, Brecher J, Fung H, Kazmi Z, Outlaw P, Pursnani K, Ramanujam N, Razaq A, Sattar M, Sukumar S, Tan TSE, Chohan K, Dhuna S, Haq T, Kirby S, Lacy-Colson J, Logan P, Malik Q, McCann J, Mughal Z, Sadiq S, Sharif I, Shingles C, Simon A, Burnage S, Chan SSN, Craig ARJ, Duffield J, Dutta A, Eastwood M, Iqbal F, Mahmood F, Mahmood W, Patel C, Qadeer A, Robinson A, Rotundo A, Schade A, Slade RD, De Freitas M, Kinnersley H, McDowell E, Moens-Lecumberri S, Ramsden J, Rockall T, Wiffen L, Wright S, Bruce C, Francois V, Hamdan K, Limb C, Lunt AJ, Manley L, Marks M, Phillips CFE, Agnew CJF, Barr CJ, Benons N, Hart SJ, Kandage D, Krysztopik R, Mahalingam P, Mock J, Rajendran S, Stoddart MT, Clements B, Gillespie H, Lee S, McDougall R, Murray C, O'Loane R, Periketi S, Tan S, Amoah R, Bhudia R, Dudley B, Gilbert A, Griffiths B, Khan H, McKigney N, Roberts B, Samuel R, Seelarbokus A, Stubbing-Moore A, Thompson G, Williams P, Ahmed N, Akhtar R, Chandler E, Chappelow I, Gil H, Gower T, Kale A, Lingam G, Rutler L, Sellahewa C, Sheikh A, Stringer H, Taylor R, Aglan H, Ashraf MR, Choo S, Das E, Epstein J, Gentry R, Mills D, Poolovadoo Y, Ward N, Bull K, Cole A, Hack J, Khawari S, Lake C, Mandishona T, Perry R, Sleight S, Sultan S, Thornton T, Williams S, Arif T, Castle A, Chauhan P, Chesner R, Eilon T, Kamarajah S, Kambasha C, Lock L, Loka T, Mohammad F, Motahariasl S, Roper L, Sadhra SS, Sheikh A, Toma T, Wadood Q, Yip J, Ainger E, Busti S, Cunliffe L, Flamini T, Gaffing S, Moorcroft C, Peter M, Simpson L, Stokes E, Stott G, Wilson J, York J, Yousaf A, Borakati A, Brown M, Goaman A, Hodgson B, Ijeomah A, Iroegbu U, Kaur G, Lowe C, Mahmood S, Sattar Z, Sen P, Szuman A, Abbas N, Al-Ausi M, Anto N, Bhome R, Eccles L, Elliott J, Hughes EJ, Jones A, Karunatilleke AS, Knight JS, Manson CCF, Mekhail I, Michaels L, Noton TM, Okenyi E, Reeves T, Yasin IH, Banfield DA, Harris R, Lim D, Mason-Apps C, Roe T, Sandhu J, Shafiq N, Stickler E, Tam JP, Williams LM, Ainsworth P, Boualbanat Y, Doull C, Egan E, Evans L, Hassanin K, Ninkovic-Hall G, Odunlami W, Shergill M, Traish M, Cummings D, Kershaw S, Ong J, Reid F, Toellner H, Alwandi A, Amer M, George D, Haynes K, Hughes K, Peakall L, Premakumar Y, Punjabi N, Ramwell A, Sawkins H, Ashwood J, Baker A, Baron C, Bhide I, Blake E, De Cates C, Esmail R, Hosamuddin H, Kapp J, Nguru N, Raja M, Thomson F, Ahmed H, Aishwarya G, Al-Huneidi R, Ali S, Aziz R, Burke D, Clarke B, Kausar A, Maskill D, Mecia L, Myers L, Smith ACD, Walker G, Wroe N, Donohoe C, Gibbons D, Jordan P, Keogh C, Kiely A, Lalor P, McCrohan M, Powell C, Foley MP, Reynolds J, Silke E, Thorpe O, Kong JTH, White C, Ali Q, Dalrymple J, Ge Y, Khan H, Luo RS, Paine H, Paraskeva B, Parker L, Pillai K, Salciccioli J, Selvadurai S, Sonagara V, Springford LR, Tan L, Appleton S, Leadholm N, Zhang Y, Ahern D, Cotter M, Cremen S, Durrigan T, Flack V, Hrvacic N, Jones H, Jong B, Keane K, O'Connell PR, O'sullivan J, Pek G, Shirazi S, Barker C, Brown A, Carr W, Chen Y, Guillotte C, Harte J, Kokayi A, Lau K, McFarlane S, Morrison S, Broad J, Kenefick N, Makanji D, Printz V, Saito R, Thomas O, Breen H, Kirk S, Kong CH, O'Kane A, Eddama M, Engledow A, Freeman SK, Frost A, Goh C, Lee G, Poonawala R, Suri A, Taribagil P, Brown H, Christie S, Dean S, Gravell R, Haywood E, Holt F, Pilsworth E, Rabiu R, Roscoe HW, Shergill S, Sriram A, Sureshkumar A, Tan LC, Tanna A, Vakharia A, Bhullar S, Brannick S, Dunne E, Frere M, Kerin M, Kumar KM, Pratumsuwan T, Quek R, Salman M, Van Den Berg N, Wong C, Ahluwalia J, Bagga R, Borg CM, Calabria C, Draper A, Farwana M, Joyce H, Khan A, Mazza M, Pankin G, Sait MS, Sandhu N, Virani N, Wong J, Woodhams K, Croghan N, Ghag S, Hogg G, Ismail O, John N, Nadeem K, Naqi M, Noe SM, Sharma A, Tan S, Begum F, Best R, Collishaw A, Glasbey J, Golding D, Gwilym B, Harrison P, Jackman T, Lewis N, Luk YL, Porter T, Potluri S, Stechman M, Tate S, Thomas D, Walford B, Auld F, Bleakley A, Johnston S, Jones C, Khaw J, Milne S, O'Neill S, Singh KKR, Smith R, Swan A, Thorley N, Yalamarthi S, Yin ZD, Ali A, Balian V, Bana R, Clark K, Livesey C, McLachlan G, Mohammad M, Pranesh N, Richards C, Ross F, Sajid M, Brooke M, Francombe J, Gresly J, Hutchinson S, Kerrigan K, Matthews E, Nur S, Parsons L, Sandhu A, Vyas M, White F, Zulkifli A, Zuzarte L, Al-Mousawi A, Arya J, Azam S, Yahaya AA, Gill K, Hallan R, Hathaway C, Leptidis I, McDonagh L, Mitrasinovic S, Mushtaq N, Pang N, Peiris GB, Rinkoff S, Chan L, Christopher E, Farhan-Alanie MMH, Gonzalez-Ciscar A, Graham CJ, Lim H, McLean KA, Paterson HM, Rogers A, Roy C, Rutherford D, Smith F, Zubikarai G, Al-Khudairi R, Bamford M, Chang M, Cheng J, Hedley C, Joseph R, Mitchell B, Perera S, Rothwell L, Siddiqui A, Smith J, Taylor K, Wright OW, Baryan HK, Boyd G, Conchie H, Cox L, Davies J, Gardner S, Hill N, Krishna K, Lakin F, Scotcher S, Alberts J, Asad M, Barraclough J, Campbell A, Marshall D, Wakeford W, Cronbach P, D'Souza F, Gammeri E, Houlton J, Hall M, Kethees A, Patel R, Perera M, Prowle J, Shaid M, Webb E, Beattie S, Chadwick M, El-Taji O, Haddad S, Mann M, Patel M, Popat K, Rimmer L, Riyat H, Smith H, Anandarajah C, Cipparrone M, Desai K, Gao C, Goh ET, Howlader M, Jeffreys N, Karmarkar A, Mathew G, Mukhtar H, Ozcan E, Renukanthan A, Sarens N, Sinha C, Woolley A, Bogle R, Komolafe O, Loo F, Waugh D, Zeng R, Crewe A, Mathias J, Mills A, Owen A, Prior A, Saunders I, Baker A, Crilly L, McKeon J, Ubhi HK, Adeogun A, Carr R, Davison C, Devalia S, Hayat A, Karsan RB, Osborne C, Scott K, Weegenaar C, Wijeyaratne M, Babatunde F, Barnor-Ahiaku E, Beattie G, Chitsabesan P, Dixon O, Hall N, Ilenkovan N, Mackrell T, Nithianandasivam N, Orr J, Palazzo F, Saad M, Sandland-Taylor L, Sherlock J, Ashdown T, Chandler S, Garsaa T, Lloyd J, Loh SY, Ng S, Perkins C, Powell-Chandler A, Smith F, Underhill R. Perioperative intravenous contrast administration and the incidence of acute kidney injury after major gastrointestinal surgery: prospective, multicentre cohort study. Br J Surg 2020; 107:1023-1032. [PMID: 32026470 DOI: 10.1002/bjs.11453] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 09/21/2019] [Accepted: 11/08/2019] [Indexed: 01/14/2023]
Abstract
BACKGROUND This study aimed to determine the impact of preoperative exposure to intravenous contrast for CT and the risk of developing postoperative acute kidney injury (AKI) in patients undergoing major gastrointestinal surgery. METHODS This prospective, multicentre cohort study included adults undergoing gastrointestinal resection, stoma reversal or liver resection. Both elective and emergency procedures were included. Preoperative exposure to intravenous contrast was defined as exposure to contrast administered for the purposes of CT up to 7 days before surgery. The primary endpoint was the rate of AKI within 7 days. Propensity score-matched models were adjusted for patient, disease and operative variables. In a sensitivity analysis, a propensity score-matched model explored the association between preoperative exposure to contrast and AKI in the first 48 h after surgery. RESULTS A total of 5378 patients were included across 173 centres. Overall, 1249 patients (23·2 per cent) received intravenous contrast. The overall rate of AKI within 7 days of surgery was 13·4 per cent (718 of 5378). In the propensity score-matched model, preoperative exposure to contrast was not associated with AKI within 7 days (odds ratio (OR) 0·95, 95 per cent c.i. 0·73 to 1·21; P = 0·669). The sensitivity analysis showed no association between preoperative contrast administration and AKI within 48 h after operation (OR 1·09, 0·84 to 1·41; P = 0·498). CONCLUSION There was no association between preoperative intravenous contrast administered for CT up to 7 days before surgery and postoperative AKI. Risk of contrast-induced nephropathy should not be used as a reason to avoid contrast-enhanced CT.
Collapse
|
18
|
Kaur K, Suri V, Sharma MC, Garg A, Suri A, Sarkar C. P04.19 Analysis of tumor immune microenvironment and immune checkpoint modulators across infantile and pediatric pilocytic astrocytomas to elucidate the role of immunotherapy in these tumors. Neuro Oncol 2019. [DOI: 10.1093/neuonc/noz126.114] [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
Pilocytic astrocytomas are the most common central nervous system tumors in pediatric age-group. Although grade I, some of the cases show recurrence and progression, and few might not be amenable to surgery due to location or size, and hence have a less favorable prognosis. Drugs blocking immune check-point interactions such as those including programmed cell death ligand-1 (PD-L1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) are now in clinical use for certain tumors. We performed this study to understand the potential candidature of pilocytic astrocytomas in infants and children for immunotherapy by analyzing the expression of immune checkpoint proteins and immune infiltrate, and correlating with clinical details, wherever possible.
MATERIALS AND METHODS
Cases with adequate tissue (2010–2017) diagnosed in pediatric age-group (<18 years) were retreived from the archives of Department of Pathology, AIIMS, New Delhi. Immunohistochemistry for PD-L1 (SP263, Ventana), CTLA-4, CD3, CD8, CD4 and CD68 was performed. Quantification of cytotoxic lymphocytes was done using digital imaging in the core of the tumor.
RESULTS
A total of 50 pilocytic astrocytomas were included, 14 of them were <3 years (infants), while 36 were of pediatric age-group (3–18 years). Overall, male preponderance was noted. Cerebellum was the most common location, followed by 4th venrticle, optic pathway, hypothalamus, cerebrum and thalamus. Almost all CD3 lymphocytes were cytotoxic T-lymphocyes (CD8 positive, CTLs). Helper T-lymphocyte infiltration was not seen. Median CTL density/mm3 was 13/mm3(Range:1–85/mm3). CTLA-4 was positive in 4 cases, positivity ranged from 1–4 cells/lpf. PD-L1 was found to be positive in 7 cases, and the positivity ranged from 1+ to 2+ in 1 to 5% of tumor cells. A median TAM (tumor associated macrophages) density of 44/hpf (range: 1–98/hpf) was noted. There was no correlation of CTL density with PD-L1 or CTLA-4 expression, and neither with TAM density. On correlation with clinical parameters, a higher density of CTLs and TAMs was noted in infants, and a higher proportion of cases revealed PD-L1 positivity, though not statistically significant. There was no correlation of TILs or TAMs with the tumor location.
CONCLUSION
Immune check point blockade using PD-(L)1 or CTLA4 inhibitors may not be a potential therapeutic option for unresectable or recurrent pilocytic astrocytomas, as low positivity rate as well as extremely low percentage of tumor/ immune cells found to be positive. However, alternate forms of immunotherapy might be helpful as most of the cases showed immune infiltrates and a high density of tumor-associated macrophages (TAMs). Large scale studies with larger numbers and longer follow-up periods including in-vitro and clinical studies are warranted for decoding the tumor immunogram.
Collapse
Affiliation(s)
- K Kaur
- All India Institute of Medical Sciences, New Delhi, New Delhi, India
| | - V Suri
- All India Institute of Medical Sciences, New Delhi, New Delhi, India
| | - M C Sharma
- All India Institute of Medical Sciences, New Delhi, New Delhi, India
| | - A Garg
- All India Institute of Medical Sciences, New Delhi, New Delhi, India
| | - A Suri
- All India Institute of Medical Sciences, New Delhi, New Delhi, India
| | - C Sarkar
- All India Institute of Medical Sciences, New Delhi, New Delhi, India
| |
Collapse
|
19
|
Kaur K, Jha P, Pathak P, Suri V, Sharma MC, Garg A, Suri A, Sarkar C. P14.117 Cost efficient test algorithm for molecular subgrouping of medulloblastomas for day-to-day practice in resource limited countries. Neuro Oncol 2019. [DOI: 10.1093/neuonc/noz126.352] [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
INTRODUCTION
Molecular classification of medulloblastomas(MB) is prognostically and therapeutically relevant and helps in better risk-stratification. Translation of this subgrouping to routine practice still remains a challenge. The most pathologist-accessible techniques for molecular subgrouping include immunohistochemistry(IHC), fluorescent in-situ hybridization(FISH) and Nanostring assay. Objectives:(1)Molecular subgrouping of MBs by IHC and FISH, and Nanostring Assay (2)To compare their efficacy against sequencing and DNA methylation, and cost for applicability in resource-constrained centers
METHODS
Ninety-five cases of MB with adequate tissue were included. Molecular subgrouping was performed by IHC for β-catenin, GAB1, YAP1, and p53; FISH for MYC amplification, and sequencing for CTNNB1, and by Nanostring Assay on the same set of MBs. Further, a subset of cases were subjected to 850k DNA methylation array.
RESULTS
IHC+FISH classified MBs into 15.8% WNT, 16.8% SHH, and 67.4% non-WNT/non-SHH subgroups; with MYC amplification identified in 20.3% cases of non-WNT/non-SHH. A single showed diffuse strong p53 positivity among the SHH subgroup. Nanostring successfully classified 91.5% MBs into 25.3% WNT, 17.2% SHH, 23% Group3 and 34.5% Group4. However, Nanostring assay failure was seen in eight cases, all of which were >8-years-old formalin-fixed paraffin-embedded tissue blocks. Concordant subgroup assignment was noted in 88.5% cases, while subgroup switching was seen in 11.5% cases. Both methods showed prognostic correlation. Among the 5 discrepant cases, which switched to WNT subgroup by Nanostring, only 2 were found to have CTNNB1 mutation. Methylation profiling performed on discordant cases revealed 1 out of 4 extra WNT identified by Nanostring to be WNT, others aligned with IHC subgroups; extra SHH by Nanostring turned out to be SHH by methylation.
CONCLUSIONS
Both IHC supplemented by FISH and Nanostring are robust methods for molecular subgrouping, albeit with few disadvantages. IHC cannot differentiate between Groups 3 and 4, while Nanostring cannot classify older-archived tumors, and is not available at most centres. WNT subgroup with the best prognosis is best detected by IHC or IHC followed by sequencing for confirmation. Nanostring Assay is better suitable to separate Group 3, the worst prognostic group from Group 4. Thus, both the methods complement each other and can be used in concert for high confidence allotment of molecular subgroups in clinical practice. The cost of IHC plus Nanostring will almost be the same as IHC plus FISH. We recommend a cost-efficient algorithmic approach using histopathological subtype and IHC as the first step followed by Nanostring or FISH, wherever suitable.
Collapse
Affiliation(s)
- K Kaur
- All India Institute of Medical Sciences, New Delhi, New Delhi, India
| | - P Jha
- All India Institute of Medical Sciences, New Delhi, New Delhi, India
| | - P Pathak
- All India Institute of Medical Sciences, New Delhi, New Delhi, India
| | - V Suri
- All India Institute of Medical Sciences, New Delhi, New Delhi, India
| | - M C Sharma
- All India Institute of Medical Sciences, New Delhi, New Delhi, India
| | - A Garg
- All India Institute of Medical Sciences, New Delhi, New Delhi, India
| | - A Suri
- All India Institute of Medical Sciences, New Delhi, New Delhi, India
| | - C Sarkar
- All India Institute of Medical Sciences, New Delhi, New Delhi, India
| |
Collapse
|
20
|
Suri A, Mould D, Song G, Kinley J, Venkatakrishnan K. BRENTUXIMAB VEDOTIN POPULATION PHARMACOKINETIC (POPPK) MODELLING IN ADULT AND PAEDIATRIC PATIENTS (PTS) WITH RELAPSED/REFRACTORY (R/R) HEMATOLOGIC MALIGNANCIES. Hematol Oncol 2019. [DOI: 10.1002/hon.209_2631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- A. Suri
- Quantitative Clinical Pharmacology; Millennium Pharmaceuticals, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited Inc.; Cambridge United States
| | - D.R. Mould
- Projections Research, Inc.; Phoenixville United States
| | - G. Song
- Oncology Statistics; Millennium Pharmaceuticals, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited Inc.; Cambridge United States
| | - J. Kinley
- Oncology Clinical Research; Millennium Pharmaceuticals, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited Inc.; Cambridge United States
| | - K. Venkatakrishnan
- Quantitative Clinical Pharmacology; Millennium Pharmaceuticals, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited Inc.; Cambridge United States
| |
Collapse
|
21
|
Prabhakar H, Rath GP, Bithal PK, Suri A, Dash H. Variations in Cerebral Haemodynamics during Irrigation Phase in Neuroendoscopic Procedures. Anaesth Intensive Care 2019; 35:209-12. [PMID: 17444310 DOI: 10.1177/0310057x0703500209] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [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: 11/15/2022]
Abstract
Not many centres measure intracranial pressure during an endoscopic procedure. However, if the irrigation fluid during endoscopy is not simultaneously drained, then some rise in intracranial pressure can be anticipated. This study was carried out to measure and monitor changes in intracranial pressure during the irrigation phase in a neuroendoscopic procedure using a Codman catheter placed in the parenchyma. Intracranial pressure was monitored in 13 patients undergoing surgical neuroendoscopic procedures under a standardised anaesthetic technique. Heart rate, mean arterial pressure, intracranial pressure and cerebral perfusion pressure were recorded at baseline and during the irrigation phase of the procedure. The heart rate during irrigation was comparable to baseline values, but the mean arterial pressure at the time of irrigation increased an average of 7 mmHg (P =0.02). At the same time there was an average 34 mmHg increase in intracranial pressure (P <0.001), producing an average 26 mmHg decrease in the cerebral perfusion pressure (P <0.001) during irrigation. There was an average of four episodes of raised intracranial pressure (> 25 mmHg) during the irrigation phase per patient. We suggest that the intracranial pressure be routinely monitored during neuroendoscopic procedures. Only then can the potential adverse effect of irrigation on intracranial pressure and cerebral perfusion pressure be assessed.
Collapse
Affiliation(s)
- H Prabhakar
- Department of Neuroanaesthesiology, All India Institute of Medical Sciences, New Delhi, India
| | | | | | | | | |
Collapse
|
22
|
Kumawat R, Gowda S, Debnath E, Rashid S, Niwas R, Suri A, Sarkar C, Sinha S, Chosdol K. Association of MTHFR gene polymorphisms with glioma and meningioma patients in Indian population. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy429.003] [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: 11/12/2022] Open
|
23
|
Malik N, Chattopadhyay P, Sarkar C, Suri A, Sinha S, Chosdol K. Regulation of programmed cell death 10 (PDCD10) by FAT1 gene in human glioblastoma. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy429.001] [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: 11/13/2022] Open
|
24
|
Malik N, Chattopadhyay P, Sarkar C, Suri A, Sinha S, Chosdol K. Emerging role of FAT1 gene in the regulation of oncogenic miRNA 221/222- 3p in glioma. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy314.011] [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: 11/13/2022] Open
|
25
|
Sardana M, Hashmath Z, Oldland G, Suri A, Miller R, Satija V, Ansari B, Lee J, Mustafa A, Witschey W, Akers S, Chirinos J. P4680Left ventricular strain by cardiac magnetic resonance feature-tracking is a strong predictor of incident cardiovascular events. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy563.p4680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- M Sardana
- University of Massachusetts, Medicine, Worcester, United States of America
| | - Z Hashmath
- University of Pennsylvania, Philadelphia, United States of America
| | - G Oldland
- University of Pennsylvania, Philadelphia, United States of America
| | - A Suri
- University of Pennsylvania, Philadelphia, United States of America
| | - R Miller
- University of Pennsylvania, Philadelphia, United States of America
| | - V Satija
- University of Pennsylvania, Philadelphia, United States of America
| | - B Ansari
- University of Pennsylvania, Philadelphia, United States of America
| | - J Lee
- University of Pennsylvania, Philadelphia, United States of America
| | - A Mustafa
- University of Pennsylvania, Philadelphia, United States of America
| | - W Witschey
- University of Pennsylvania, Philadelphia, United States of America
| | - S Akers
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, United States of America
| | - J Chirinos
- University of Pennsylvania, Philadelphia, United States of America
| |
Collapse
|
26
|
Sardana M, Ansari B, Satija V, Kuriakose D, Edelstein I, Oldland G, Miller R, Gadam S, Lee J, Suri A, Akers S, Chirinos J. P877Left atrial phasic function by cardiac magnetic resonance feature-tracking is a strong predictor of incident cardiovascular events. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy564.p877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- M Sardana
- University of Massachusetts, Medicine, Worcester, United States of America
| | - B Ansari
- University of Pennsylvania, Philadelphia, United States of America
| | - V Satija
- University of Pennsylvania, Philadelphia, United States of America
| | - D Kuriakose
- University of Pennsylvania, Philadelphia, United States of America
| | - I Edelstein
- University of Pennsylvania, Philadelphia, United States of America
| | - G Oldland
- University of Pennsylvania, Philadelphia, United States of America
| | - R Miller
- University of Pennsylvania, Philadelphia, United States of America
| | - S Gadam
- University of Pennsylvania, Philadelphia, United States of America
| | - J Lee
- University of Pennsylvania, Philadelphia, United States of America
| | - A Suri
- University of Pennsylvania, Philadelphia, United States of America
| | - S Akers
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, United States of America
| | - J Chirinos
- University of Pennsylvania, Philadelphia, United States of America
| |
Collapse
|
27
|
Malik N, Chattopadhyay P, Sarkar C, Suri A, Sinha S, Chosdol K. PO-141 FAT1 acts as an oncogene and regulate the expression of miR-221/222–3 p in glioblastoma. ESMO Open 2018. [DOI: 10.1136/esmoopen-2018-eacr25.665] [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: 11/04/2022] Open
|
28
|
Srivastava C, Gupta Y, Irshad K, Chattopadhaya P, Sarkar C, Suri A, Sinha S, Chosdol K. Curcumin downregulates FAT1 expression via NFkB in glioblastoma. Ann Oncol 2017. [DOI: 10.1093/annonc/mdx657.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
29
|
Chosdol K, Srivastava C, Irshad K, Srinivas H, Gupta Y, Sarkar C, Suri A, Gupta DK, Chattopadhyay P, Sinha S. P01.05 Overexpression of FAT1 gene in GBM is regulated by transcription factor NFkB (RelA). Neuro Oncol 2017. [DOI: 10.1093/neuonc/nox036.081] [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: 11/14/2022] Open
|
30
|
Kumar A, Nayak S, Pathak P, Purkait S, Suri V, Sharma MC, Mukhopadhyay A, Suri A, Sarkar C. P01.27 Repressive histone marks (H3K27me3) and DNA hypermethylation suggests epigenetic regulation of miR-379/miR-410 (C14MC) cluster in oligodendrogliomas. Neuro Oncol 2017. [DOI: 10.1093/neuonc/nox036.103] [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: 11/14/2022] Open
|
31
|
Sarkar C, Kumar A, Pathak P, Purkait S, Nayak S, Faruq M, Suri V, Sharma MC, Suri A. P03.22 BRAF, FGFR1 and PDGFRA alterations in oligodendrogliomas - correlation with MAPK/mTOR pathway activation. Neuro Oncol 2017. [DOI: 10.1093/neuonc/nox036.137] [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: 11/12/2022] Open
|
32
|
Singh S, Dhawan B, Kapil A, Kabra SK, Suri A, Sreenivas V, Das BK. Coagulase-negative staphylococci causing blood stream infection at an Indian tertiary care hospital: Prevalence, antimicrobial resistance and molecular characterisation. Indian J Med Microbiol 2017; 34:500-505. [PMID: 27934830 DOI: 10.4103/0255-0857.195374] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Recent years have seen a rise of coagulase-negative staphylococci (CoNS) from common contaminants to agents of nosocomial blood stream infections (BSI's). Molecular typing and establishing a correlation with antibiotic resistance is essential particularly in countries like India where genotyping studies for drug-resistant CoNS are sparse. METHODS A prospective study was done over 18 months, wherein 42,693 blood samples were received, and 59 patients with BSI due to CoNS were evaluated. The isolates recovered were identified by a biochemical test panel and matrix-assisted laser desorption ionization - time of flight mass spectrometry followed by antimicrobial susceptibility testing by Kirby-Baur disc diffusion method and E-test strips. Staphylococcal chromosomal cassette mec (SCCmec) element was characterised by multiplex polymerase chain reaction for all methicillin-resistant (MR) isolates. RESULTS The majority of CoNS isolated were constituted by Staphylococcus haemolyticus (47.5%) followed by Staphylococcus epidermidis (33.9%), Staphylococcus hominis (11.86%), Staphylococcus cohnii (5.08%) and Staphylococcus warneri (1.69%). Among all isolates 57.6% were MR with statistically significant higher resistance versus methicillin sensitive-CoNS. This difference was significant for erythromycin (76% vs. 44%, P = 0.011), rifampicin (50% vs. 12%,P= 0.002) and amikacin (26.5% vs. 4%, P = 0.023), ciprofloxacin (64.7% vs. 20%, P = 0.001) and cotrimoxazole (55.9% vs. 20%, P = 0.006). SCCmec type I was predominant (61.8%, P = 0.028) and exhibited multidrug resistance (76.2%). Coexistence of SCCmec type I and III was seen in 8.82% MR isolates. CONCLUSION CoNS exhibit high antimicrobial resistance thereby limiting treatment options. The presence of new variants of SCCmec type in hospital-acquired CoNS may predict the antibiotic resistance pattern. This is the first evaluation of the molecular epidemiology of CoNS causing BSI from India and can serve as a guide in the formulation of hospital infection control and treatment guidelines.
Collapse
Affiliation(s)
- S Singh
- Department of Medical Microbiology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - B Dhawan
- Department of Microbiology, All Institute of Medical Sciences, New Delhi, India
| | - A Kapil
- Department of Microbiology, All Institute of Medical Sciences, New Delhi, India
| | - S K Kabra
- Department of Pediatrics, All Institute of Medical Sciences, New Delhi, India
| | - A Suri
- Department of Neurosurgery, All Institute of Medical Sciences, New Delhi, India
| | - V Sreenivas
- Department of Biostatistics, All Institute of Medical Sciences, New Delhi, India
| | - B K Das
- Department of Microbiology, All Institute of Medical Sciences, New Delhi, India
| |
Collapse
|
33
|
Venkatakrishnan K, Burgess C, Gupta N, Suri A, Takubo T, Zhou X, DeMuria D, Lehnert M, Takeyama K, Singhvi S, Milton A. Toward Optimum Benefit-Risk and Reduced Access Lag For Cancer Drugs in Asia: A Global Development Framework Guided by Clinical Pharmacology Principles. Clin Transl Sci 2016; 9:9-22. [PMID: 26836226 PMCID: PMC5351319 DOI: 10.1111/cts.12386] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Revised: 12/22/2015] [Accepted: 01/05/2016] [Indexed: 12/13/2022] Open
Affiliation(s)
- K Venkatakrishnan
- Millennium Pharmaceuticals Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited), Cambridge, Massachusetts, USA
| | - C Burgess
- Millennium Pharmaceuticals Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited), Cambridge, Massachusetts, USA
| | - N Gupta
- Millennium Pharmaceuticals Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited), Cambridge, Massachusetts, USA
| | - A Suri
- Millennium Pharmaceuticals Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited), Cambridge, Massachusetts, USA
| | - T Takubo
- Takeda Pharmaceutical Company Limited, Tokyo, Japan
| | - X Zhou
- Millennium Pharmaceuticals Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited), Cambridge, Massachusetts, USA
| | - D DeMuria
- Millennium Pharmaceuticals Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited), Cambridge, Massachusetts, USA
| | - M Lehnert
- Millennium Pharmaceuticals Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited), Cambridge, Massachusetts, USA
| | - K Takeyama
- Takeda Pharmaceutical Company Limited, Tokyo, Japan
| | - S Singhvi
- Millennium Pharmaceuticals Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited), Cambridge, Massachusetts, USA
| | - A Milton
- Millennium Pharmaceuticals Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited), Cambridge, Massachusetts, USA
| |
Collapse
|
34
|
Rasco D, Middleton M, Gonzalez R, Corrie P, Pavlick A, Lorigan P, Plummer R, Gore M, Herbert C, Agarwala S, Logan T, Khleif S, Papadopoulos K, Rangachari L, Suri A, Xu Q, Kneissl M, Bozón V, Olszanski A. 300 Phase I study of two dosing schedules of the investigational oral pan-RAF kinase inhibitor MLN2480 in patients (pts) with advanced solid tumors or melanoma. Eur J Cancer 2015. [DOI: 10.1016/s0959-8049(15)30005-8] [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: 11/29/2022]
|
35
|
Suri A, Chapel S, Lu C, Venkatakrishnan K. Physiologically based and population PK modeling in optimizing drug development: A predict-learn-confirm analysis. Clin Pharmacol Ther 2015; 98:336-44. [PMID: 26031410 PMCID: PMC5039936 DOI: 10.1002/cpt.155] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2015] [Revised: 05/13/2015] [Accepted: 05/27/2015] [Indexed: 12/02/2022]
Abstract
Physiologically based pharmacokinetic (PBPK) modeling and classical population pharmacokinetic (PK) model‐based simulations are increasingly used to answer various drug development questions. In this study, we propose a methodology to optimize the development of drugs, primarily cleared by the kidney, using model‐based approaches to determine the need for a dedicated renal impairment (RI) study. First, the impact of RI on drug exposure is simulated via PBPK modeling and then confirmed using classical population PK modeling of phase 2/3 data. This methodology was successfully evaluated and applied to an investigational agent, orteronel (nonsteroidal, reversible, selective 17,20‐lyase inhibitor). A phase 1 RI study confirmed the accuracy of model‐based predictions. Hence, for drugs eliminated primarily via renal clearance, this modeling approach can enable inclusion of patients with RI in phase 3 trials at appropriate doses, which may be an alternative to a dedicated RI study, or suggest that only a reduced‐size study in severe RI may be sufficient.
Collapse
Affiliation(s)
- A Suri
- Clinical PharmacologyMillennium Pharmaceuticals, Inc.CambridgeMassachusettsUSA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited
| | - S Chapel
- Ann Arbor Pharmacometrics GroupAnn ArborMichiganUSA
| | - C Lu
- Drug Metabolism and PharmacokineticsMillennium Pharmaceuticals, Inc.CambridgeMassachusettsUSA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited
| | - K Venkatakrishnan
- Clinical PharmacologyMillennium Pharmaceuticals, Inc.CambridgeMassachusettsUSA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited
| |
Collapse
|
36
|
Prasad G, Suri A, Sharma B. Ventral Foramen Magnum Neurenteric Cysts: Case Series and Review of Literature. Skull Base Surg 2014. [DOI: 10.1055/s-0034-1383918] [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: 10/20/2022]
|
37
|
Abstract
A facile synthesis of rhinacanthin-A is achieved by the side chain cyclization of lapachol with meta-chloroperbenzoic acid along with stenocarpoquinone-A, stenocarpoquinone-B and its isomer.
Collapse
Affiliation(s)
- P. Singh
- Department of Chemistry, University of Rajasthan, Jaipur – 302004, India
| | - R. T. Pardasani
- Department of Chemistry, University of Rajasthan, Jaipur – 302004, India
| | - A. Suri
- Department of Chemistry, University of Rajasthan, Jaipur – 302004, India
| | - C. P. Pokharna
- Department of Chemistry, University of Rajasthan, Jaipur – 302004, India
| |
Collapse
|
38
|
Fadel S, Aly A, Massoud S, Kedr W, Farhod A, Srinivasan A, Satish G, Scott JX, Rao SM, Chidambaram B, Chandrashekar S, Chintagumpala M, He X, Ma J, Trehan A, Salunke P, Singla N, Kumar N, Radotra BD, Bansal D, Marwaha RK, Chinnaswamy G, Prasad M, Dhamankar V, Vora T, Gupta T, Moiyadi A, Sridhar E, Jalali R, Banavali S, Kurkure P, Kaur K, Kakkar A, Purkait S, Suri V, Sharma M, Mallick S, Jhulka PK, Suri A, Sharma BS, Sarkar C, Giron AV, Castellanos M, Valverde P, Garrido C, Letona T, Antillon F, Bartel U, Yuan X, Wang C, Adesina A, Lau C, Jiang M, Ma J. NEURO-ONCOLOGY IN DEVELOPING COUNTRIES. Neuro Oncol 2014; 16:i97-i98. [PMCID: PMC4046291 DOI: 10.1093/neuonc/nou075] [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: 11/26/2023] Open
|
39
|
Ambady P, Holdhoff M, Ferrigno C, Grossman S, Anderson MD, Liu D, Conrad C, Penas-Prado M, Gilbert MR, Yung AWK, de Groot J, Aoki T, Nishikawa R, Sugiyama K, Nonoguchi N, Kawabata N, Mishima K, Adachi JI, Kurisu K, Yamasaki F, Tominaga T, Kumabe T, Ueki K, Higuchi F, Yamamoto T, Ishikawa E, Takeshima H, Yamashita S, Arita K, Hirano H, Yamada S, Matsutani M, Apok V, Mills S, Soh C, Karabatsou K, Arimappamagan A, Arya S, Majaid M, Somanna S, Santosh V, Schaff L, Armentano F, Harrison C, Lassman A, McKhann G, Iwamoto F, Armstrong T, Yuan Y, Liu D, Acquaye A, Vera-Bolanos E, Diefes K, Heathcock L, Cahill D, Gilbert M, Aldape K, Arrillaga-Romany I, Ruddy K, Greenberg S, Nayak L, Avgeropoulos N, Avgeropoulos G, Riggs G, Reilly C, Banerji N, Bruns P, Hoag M, Gilliland K, Trusheim J, Bekaert L, Borha A, Emery E, Busson A, Guillamo JS, Bell M, Harrison C, Armentano F, Lassman A, Connolly ES, Khandji A, Iwamoto F, Blakeley J, Ye X, Bergner A, Dombi E, Zalewski C, Follmer K, Halpin C, Fayad L, Jacobs M, Baldwin A, Langmead S, Whitcomb T, Jennings D, Widemann B, Plotkin S, Brandes AA, Mason W, Pichler J, Nowak AK, Gil M, Saran F, Revil C, Lutiger B, Carpentier AF, Milojkovic-Kerklaan B, Aftimos P, Altintas S, Jager A, Gladdines W, Lonnqvist F, Soetekouw P, van Linde M, Awada A, Schellens J, Brandsma D, Brenner A, Sun J, Floyd J, Hart C, Eng C, Fichtel L, Gruslova A, Lodi A, Tiziani S, Bridge CA, Baldock A, Kumthekar P, Dilfer P, Johnston SK, Jacobs J, Corwin D, Guyman L, Rockne R, Sonabend A, Cloney M, Canoll P, Swanson KR, Bromberg J, Schouten H, Schaafsma R, Baars J, Brandsma D, Lugtenburg P, van Montfort C, van den Bent M, Doorduijn J, Spalding A, LaRocca R, Haninger D, Saaraswat T, Coombs L, Rai S, Burton E, Burzynski G, Burzynski S, Janicki T, Marszalek A, Burzynski S, Janicki T, Burzynski G, Marszalek A, Cachia D, Smith T, Cardona AF, Mayor LC, Jimenez E, Hakim F, Yepes C, Bermudez S, Useche N, Asencio JL, Mejia JA, Vargas C, Otero JM, Carranza H, Ortiz LD, Cardona AF, Ortiz LD, Jimenez E, Hakim F, Yepes C, Useche N, Bermudez S, Asencio JL, Carranza H, Vargas C, Otero JM, Bartels C, Quintero A, Restrepo CE, Gomez S, Bernal-Vaca L, Lema M, Cardona AF, Ortiz LD, Useche N, Bermudez S, Jimenez E, Hakim F, Yepes C, Mejia JA, Bernal-Vaca L, Restrepo CE, Gomez S, Quintero A, Bartels C, Carranza H, Vargas C, Otero JM, Carlo M, Omuro A, Grommes C, Kris M, Nolan C, Pentsova E, Pietanza M, Kaley T, Carrabba G, Giammattei L, Draghi R, Conte V, Martinelli I, Caroli M, Bertani G, Locatelli M, Rampini P, Artoni A, Carrabba G, Bertani G, Cogiamanian F, Ardolino G, Zarino B, Locatelli M, Caroli M, Rampini P, Chamberlain M, Raizer J, Soffetti R, Ruda R, Brandsma D, Boogerd W, Taillibert S, Le Rhun E, Jaeckle K, van den Bent M, Wen P, Chamberlain M, Chinot OL, Wick W, Mason W, Henriksson R, Saran F, Nishikawa R, Carpentier AF, Hoang-Xuan K, Kavan P, Cernea D, Brandes AA, Hilton M, Kerloeguen Y, Guijarro A, Cloughsey T, Choi JH, Hong YK, Conrad C, Yung WKA, deGroot J, Gilbert M, Loghin M, Penas-Prado M, Tremont I, Silberman S, Picker D, Costa R, Lycette J, Gancher S, Cullen J, Winer E, Hochberg F, Sachs G, Jeyapalan S, Dahiya S, Stevens G, Peereboom D, Ahluwalia M, Daras M, Hsu M, Kaley T, Panageas K, Curry R, Avila E, Fuente MDL, Omuro A, DeAngelis L, Desjardins A, Sampson J, Peters K, Ranjan T, Vlahovic G, Threatt S, Herndon J, Boulton S, Lally-Goss D, McSherry F, Friedman A, Friedman H, Bigner D, Gromeier M, Prust M, Kalpathy-Cramer J, Poloskova P, Jafari-Khouzani K, Gerstner E, Dietrich J, Fabi A, Villani V, Vaccaro V, Vidiri A, Giannarelli D, Piludu F, Anelli V, Carapella C, Cognetti F, Pace A, Flowers A, Flowers A, Killory B, Furuse M, Miyatake SI, Kawabata S, Kuroiwa T, Garciarena P, Anderson MD, Hamilton J, Schellingerhout D, Fuller GN, Sawaya R, Gilbert MR, Gilbert M, Pugh S, Won M, Blumenthal D, Vogelbaum M, Aldape K, Colman H, Chakravarti A, Jeraj R, Dignam J, Armstrong T, Wefel J, Brown P, Jaeckle K, Schiff D, Brachman D, Werner-Wasik M, Tremont-Lukats I, Sulman E, Mehta M, Gill B, Yun J, Goldstein H, Malone H, Pisapia D, Sonabend AM, Mckhann GK, Sisti MB, Sims P, Canoll P, Bruce JN, Girvan A, Carter G, Li L, Kaltenboeck A, Chawla A, Ivanova J, Koh M, Stevens J, Lahn M, Gore M, Hariharan S, Porta C, Bjarnason G, Bracarda S, Hawkins R, Oudard S, Zhang K, Fly K, Matczak E, Szczylik C, Grossman R, Ram Z, Hamza M, O'Brien B, Mandel J, DeGroot J, Han S, Molinaro A, Berger M, Prados M, Chang S, Clarke J, Butowski N, Hashimoto N, Chiba Y, Tsuboi A, Kinoshita M, Hirayama R, Kagawa N, Oka Y, Oji Y, Sugiyama H, Yoshimine T, Hawkins-Daarud A, Jackson PR, Swanson KR, Sarmiento JM, Ly D, Jutla J, Ortega A, Carico C, Dickinson H, Phuphanich S, Rudnick J, Patil C, Hu J, Iglseder S, Nowosielski M, Nevinny-Stickel M, Stockhammer G, Jain R, Poisson L, Scarpace L, Mikkelsen T, Kirby J, Freymann J, Hwang S, Gutman D, Jaffe C, Brat D, Flanders A, Janicki T, Burzynski S, Burzynski G, Marszalek A, Jiang C, Wang H, Jo J, Williams B, Smolkin M, Wintermark M, Shaffrey M, Schiff D, Juratli T, Soucek S, Kirsch M, Schackert G, Kakkar A, Kumar S, Bhagat U, Kumar A, Suri A, Singh M, Sharma M, Sarkar C, Suri V, Kaley T, Barani I, Chamberlain M, McDermott M, Raizer J, Rogers L, Schiff D, Vogelbaum M, Weber D, Wen P, Kalita O, Vaverka M, Hrabalek L, Zlevorova M, Trojanec R, Hajduch M, Kneblova M, Ehrmann J, Kanner AA, Wong ET, Villano JL, Ram Z, Khatua S, Fuller G, Dasgupta S, Rytting M, Vats T, Zaky W, Khatua S, Sandberg D, Foresman L, Zaky W, Kieran M, Geoerger B, Casanova M, Chisholm J, Aerts I, Bouffet E, Brandes AA, Leary SES, Sullivan M, Bailey S, Cohen K, Mason W, Kalambakas S, Deshpande P, Tai F, Hurh E, McDonald TJ, Kieran M, Hargrave D, Wen PY, Goldman S, Amakye D, Patton M, Tai F, Moreno L, Kim CY, Kim T, Han JH, Kim YJ, Kim IA, Yun CH, Jung HW, Koekkoek JAF, Reijneveld JC, Dirven L, Postma TJ, Vos MJ, Heimans JJ, Taphoorn MJB, Koeppen S, Hense J, Kong XT, Davidson T, Lai A, Cloughesy T, Nghiemphu PL, Kong DS, Choi YL, Seol HJ, Lee JI, Nam DH, Kool M, Jones DTW, Jager N, Northcott PA, Pugh T, Hovestadt V, Markant S, Esparza LA, Bourdeaut F, Remke M, Taylor MD, Cho YJ, Pomeroy SL, Schuller U, Korshunov A, Eils R, Wechsler-Reya RJ, Lichter P, Pfister SM, Krel R, Krutoshinskaya Y, Rosiello A, Seidman R, Kowalska A, Kudo T, Hata Y, Maehara T, Kumthekar P, Bridge C, Patel V, Rademaker A, Helenowski I, Mrugala M, Rockhill J, Swanson K, Grimm S, Raizer J, Meletath S, Bennett M, Nestor VA, Fink KL, Lee E, Reardon D, Schiff D, Drappatz J, Muzikansky A, Hammond S, Grimm S, Norden A, Beroukhim R, McCluskey C, Chi A, Batchelor T, Smith K, Gaffey S, Gerard M, Snodgras S, Raizer J, Wen P, Leeper H, Johnson D, Lima J, Porensky E, Cavaliere R, Lin A, Liu J, Evans J, Leuthardt E, Dacey R, Dowling J, Kim A, Zipfel G, Grubb R, Huang J, Robinson C, Simpson J, Linette G, Chicoine M, Tran D, Liubinas SV, D'Abaco GM, Moffat B, Gonzales M, Feleppa F, Nowell CJ, Gorelick A, Drummond KJ, Morokoff AP, O'Brien TJ, Kaye AH, Loghin M, Melhem-Bertrandt A, Penas-Prado M, Zaidi T, Katz R, Lupica K, Stevens G, Ly I, Hamilton S, Rostomily R, Rockhill J, Mrugala M, Mandel J, Yust-Katz S, de Groot J, Yung A, Gilbert M, Burzynski S, Janicki T, Burzynski G, Marszalek A, Pachow D, Kliese N, Kirches E, Mawrin C, McNamara MG, Lwin Z, Jiang H, Chung C, Millar BA, Sahgal A, Laperriere N, Mason WP, Megyesi J, Salehi F, Merker V, Slusarz K, Muzikansky A, Francis S, Plotkin S, Mishima K, Adachi JI, Suzuki T, Uchida E, Yanagawa T, Watanabe Y, Fukuoka K, Yanagisawa T, Wakiya K, Fujimaki T, Nishikawa R, Moiyadi A, Kannan S, Sridhar E, Gupta T, Shetty P, Jalali R, Alshami J, Lecavalier-Barsoum M, Guiot MC, Tampieri D, Kavan P, Muanza T, Nagane M, Kobayashi K, Takayama N, Shiokawa Y, Nakamura H, Makino K, Hideo T, Kuroda JI, Shinojima N, Yano S, Kuratsu JI, Nambudiri N, Arrilaga I, Dunn I, Folkerth R, Chi S, Reardon D, Nayak L, Omuro A, DeAngelis L, Robins HI, Govindan R, Gadgeel S, Kelly K, Rigas J, Reimers HJ, Peereboom D, Rosenfeld S, Garst J, Ramnath N, Wing P, Zheng M, Urban P, Abrey L, Wen P, Nayak L, DeAngelis LM, Wen PY, Brandes AA, Soffietti R, Peereboom DM, Lin NU, Chamberlain M, Macdonald D, Galanis E, Perry J, Jaeckle K, Mehta M, Stupp R, van den Bent M, Reardon DA, Norden A, Hammond S, Drappatz J, Phuphanich S, Reardon D, Wong E, Plotkin S, Lesser G, Raizer J, Batchelor T, Lee E, Kaley T, Muzikansky A, Doherty L, LaFrankie D, Ruland S, Smith K, Gerard M, McCluskey C, Wen P, Norden A, Schiff D, Ahluwalia M, Lesser G, Nayak L, Lee E, Muzikansky A, Dietrich J, Smith K, Gaffey S, McCluskey C, Ligon K, Reardon D, Wen P, Bush NAO, Kesari S, Scott B, Ohno M, Narita Y, Miyakita Y, Arita H, Matsushita Y, Yoshida A, Fukushima S, Ichimura K, Shibui S, Okamura T, Kaneko S, Omuro A, Chinot O, Taillandier L, Ghesquieres H, Soussain C, Delwail V, Lamy T, Gressin R, Choquet S, Soubeyran P, Maire JP, Benouaich-Amiel A, Lebouvier-Sadot S, Gyan E, Barrie M, del Rio MS, Gonzalez-Aguilar A, Houllier C, Tanguy ML, Hoang-Xuan K, Omuro A, Abrey L, Raizer J, Paleologos N, Forsyth P, DeAngelis L, Kaley T, Louis D, Cairncross JG, Matasar M, Mehta J, Grimm S, Moskowitz C, Sauter C, Opinaldo P, Torcuator R, Ortiz LD, Cardona AF, Hakim F, Jimenez E, Yepes C, Useche N, Bermudez S, Mejia JA, Asencio JL, Carranza H, Vargas C, Otero JM, Lema M, Pace A, Villani V, Fabi A, Carapella CM, Patel A, Allen J, Dicker D, Sheehan J, El-Deiry W, Glantz M, Tsyvkin E, Rauschkolb P, Pentsova E, Lee M, Perez A, Norton J, Uschmann H, Chamczuck A, Khan M, Fratkin J, Rahman R, Hempfling K, Norden A, Reardon DA, Nayak L, Rinne M, Doherty L, Ruland S, Rai A, Rifenburg J, LaFrankie D, Wen P, Lee E, Ranjan T, Peters K, Vlahovic G, Friedman H, Desjardins A, Reveles I, Brenner A, Ruda R, Bello L, Castellano A, Bertero L, Bosa C, Trevisan E, Riva M, Donativi M, Falini A, Soffietti R, Saran F, Chinot OL, Henriksson R, Mason W, Wick W, Nishikawa R, Dahr S, Hilton M, Garcia J, Cloughesy T, Sasaki H, Nishiyama Y, Yoshida K, Hirose Y, Schwartz M, Grimm S, Kumthekar P, Fralin S, Rice L, Drawz A, Helenowski I, Rademaker A, Raizer J, Schwartz K, Chang H, Nikolai M, Kurniali P, Olson K, Pernicone J, Sweeley C, Noel M, Sharma M, Gupta R, Suri V, Singh M, Sarkar C, Shibahara I, Sonoda Y, Saito R, Kanamori M, Yamashita Y, Kumabe T, Watanabe M, Suzuki H, Watanabe T, Ishioka C, Tominaga T, Shih K, Chowdhary S, Rosenblatt P, Weir AB, Shepard G, Williams JT, Shastry M, Hainsworth JD, Singer S, Riely GJ, Kris MG, Grommes C, Sanders MWCB, Arik Y, Seute T, Robe PAJT, Leijten FSS, Snijders TJ, Sturla L, Culhane JJ, Donahue J, Jeyapalan S, Suchorska B, Jansen N, Wenter V, Eigenbrod S, Schmid-Tannwald C, Zwergal A, Niyazi M, Bartenstein P, Schnell O, Kreth FW, LaFougere C, Tonn JC, Taillandier L, Wittwer B, Blonski M, Faure G, De Carvalho M, Le Rhun E, Tanaka K, Sasayama T, Nishihara M, Mizukawa K, Kohmura E, Taylor S, Newell K, Graves L, Timmer M, Cramer C, Rohn G, Goldbrunner R, Turner S, Gergel T, Lacroix M, Toms S, Ueki K, Higuchi F, Sakamoto S, Kim P, Salgado MAV, Rueda AG, Urzaiz LL, Villanueva MG, Millan JMS, Cervantes ER, Pampliega RA, de Pedro MDA, Berrocal VR, Mena AC, van Zanten SV, Jansen M, van Vuurden D, Huisman M, Hoekstra O, van Dongen G, Kaspers GJ, Schlamann A, von Bueren AO, Hagel C, Kramm C, Kortmann RD, Muller K, Friedrich C, Muller K, von Hoff K, Kwiecien R, Pietsch T, Warmuth-Metz M, Gerber NU, Hau P, Kuehl J, Kortmann RD, von Bueren AO, Rutkowski S, von Bueren AO, Friedrich C, von Hoff K, Kwiecien R, Muller K, Pietsch T, Warmuth-Metz M, Kuehl J, Kortmann RD, Rutkowski S, Walker J, Tremont I, Armstrong T, Wang H, Jiang C, Wang H, Jiang C, Warren P, Robert S, Lahti A, White D, Reid M, Nabors L, Sontheimer H, Wen P, Yung A, Mellinghoff I, Lamborn K, Ramkissoon S, Cloughesy T, Rinne M, Omuro A, DeAngelis L, Gilbert M, Chi A, Batchelor T, Colman H, Chang S, Nayak L, Massacesi C, DiTomaso E, Prados M, Reardon D, Ligon K, Wong ET, Elzinga G, Chung A, Barron L, Bloom J, Swanson KD, Elzinga G, Chung A, Wong ET, Wu W, Galanis E, Wen P, Das A, Fine H, Cloughesy T, Sargent D, Yoon WS, Yang SH, Chung DS, Jeun SS, Hong YK, Yust-Katz S, Milbourne A, Diane L, Gilbert M, Armstrong T, Zaky W, Weinberg J, Fuller G, Ketonen L, McAleer MF, Ahmed N, Khatua S, Zaky W, Olar A, Stewart J, Sandberg D, Foresman L, Ketonen L, Khatua S. NEURO/MEDICAL ONCOLOGY. Neuro Oncol 2013; 15:iii98-iii135. [PMCID: PMC3823897 DOI: 10.1093/neuonc/not182] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/14/2023] Open
|
40
|
Pinelli DF, Wagener ME, Liu D, Yamniuk A, Tamura J, Grant S, Larsen CP, Suri A, Nadler SG, Ford ML. An anti-CD154 domain antibody prolongs graft survival and induces Foxp3(+) iTreg in the absence and presence of CTLA-4 Ig. Am J Transplant 2013; 13:3021-30. [PMID: 24007441 PMCID: PMC4287239 DOI: 10.1111/ajt.12417] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [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: 04/30/2013] [Revised: 06/14/2013] [Accepted: 07/01/2013] [Indexed: 01/25/2023]
Abstract
The use of monoclonal antibodies targeting the CD154 molecule remains one of the most effective means of promoting graft tolerance in animal models, but thromboembolic complications during early clinical trials have precluded their use in humans. Furthermore, the role of Fc-mediated deletion of CD154-expressing cells in the observed efficacy of these reagents remains controversial. Therefore, determining the requirements for anti-CD154-induced tolerance will instruct the development of safer but equally efficacious treatments. To investigate the mechanisms of action of anti-CD154 therapy, two alternative means of targeting the CD40-CD154 pathway were used: a nonagonistic anti-CD40 antibody and an Fc-silent anti-CD154 domain antibody. We compared these therapies to an Fc-intact anti-CD154 antibody in both a fully allogeneic model and a surrogate minor antigen model in which the fate of alloreactive cells could be tracked. Results indicated that anti-CD40 mAbs as well as Fc-silent anti-CD154 domain antibodies were equivalent to Fc-intact anti-CD154 mAbs in their ability to inhibit alloreactive T cell expansion, attenuate cytokine production of antigen-specific T cells and promote the conversion of Foxp3(+) iTreg. Importantly, iTreg conversion observed with Fc-silent anti-CD154 domain antibodies was preserved in the presence of CTLA4-Ig, suggesting that this therapy is a promising candidate for translation to clinical use.
Collapse
Affiliation(s)
- D F Pinelli
- Emory Transplant Center, Department of Surgery, Emory University School of Medicine, Atlanta, GA
| | | | | | | | | | | | | | | | | | | |
Collapse
|
41
|
Suri A, Carter E, Edwards J, Erickson B, Huh W, Alvarez Secord A, Havrilesky L, Kim K, Horowitz N, Gehrig P. Effects of obesity and adjuvant chemotherapy regimens on progression free survival in patients with ovarian granulosa cell tumors. Gynecol Oncol 2013. [DOI: 10.1016/j.ygyno.2013.04.026] [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: 10/26/2022]
|
42
|
Garg K, Sinha S, Kale SS, Chandra PS, Suri A, Singh MM, Kumar R, Sharma MS, Pandey RM, Sharma BS, Mahapatra AK. Role of simvastatin in prevention of vasospasm and improving functional outcome after aneurysmal sub-arachnoid hemorrhage: a prospective, randomized, double-blind, placebo-controlled pilot trial. Br J Neurosurg 2013; 27:181-6. [PMID: 23298376 DOI: 10.3109/02688697.2012.757293] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [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]
Abstract
BACKGROUND Vasospasm plays a major role in the morbidity and mortality after aneurysmal subarachnoid hemorrhage (aSAH). The preliminary studies suggest that statins protect against cerebral vasospasm. OBJECTIVE The aim of the study was to determine the role of simvastatin in preventing clinical vasospasm and improving functional outcome in patients with aSAH. METHODS All patients with aSAH admitted within 96 h of ictus were randomized to receive either Simvastatin or placebo - 80 mg/day for 14 days. Thirty eight patients were recruited in the study- 19 received Simvastatin and 19 placebo. All the patients underwent surgical clipping of the aneurysm. The primary outcome of the study was the development of clinical cerebral vasospasm. The secondary outcomes included Glasgow Outcome Score (GOS), Modified Rankin Scale (MRS) and Barthel Index Score (MBI) at follow-up at 1, 3 and 6 months. RESULTS 16% of the patients in the simvastatin group had high Middle Cerebral Artery velocities (> 160 cm/sec) on transcranial Doppler on one or more than one day during the study duration as compared to 26% of the patients in the placebo group (p = 0.70). Neurological deterioration occurred in 26% and 42% of the patients in simvastatin group versus placebo group, respectively (p = 0.31). There was an improvement in the functional outcome in the simvastatin group at 1, 3 or 6 months in the follow-up; however, this difference was not statistically significant. CONCLUSIONS There was benefit of simvastatin in terms of reduction in clinical vasospasm, mortality or improved functional outcome, however, this was not statistically significant.
Collapse
Affiliation(s)
- K Garg
- Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
43
|
Schuler K, Suri A, Waltner-Toews R, Jackson A, Boggess J. A Comparison of Vaginal Cuff Dehiscence by Route of Hysterectomy: A Single Institution Cohort Study. J Minim Invasive Gynecol 2012. [DOI: 10.1016/j.jmig.2012.08.170] [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: 10/27/2022]
|
44
|
Leonard A, Wolff J, Sengupta R, Marassa J, Piwnica-Worms D, Rubin J, Pollack I, Jakacki R, Butterfield L, Okada H, Fangusaro J, Warren KE, Mullins C, Jurgen P, Julia S, Friedrich CC, Keir S, Saling J, Roskoski M, Friedman H, Bigner D, Moertel C, Olin M, Dahlheimer T, Gustafson M, Sumstad D, McKenna D, Low W, Nascene D, Dietz A, Ohlfest J, Sturm D, Witt H, Hovestadt V, Quan DAK, Jones DTW, Konermann C, Pfaff E, Korshunov A, Rizhova M, Milde T, Witt O, Zapatka M, Collins VP, Kool M, Reifenberger G, Lichter P, Lindroth AM, Plass C, Jabado N, Pfister SM, Pizer B, Salehzadeh A, Brodbelt A, Mallucci C, Brassesco M, Pezuk J, Morales A, de Oliveira J, Roberto G, Umezawa K, Valera E, Rego E, Scrideli C, Tone L, Veringa SJE, Van Vuurden DG, Wesseling P, Vandertop WP, Noske DP, Wurdinger T, Kaspers GJL, Hulleman E, Wright K, Broniscer A, Bendel A, Bowers D, Crawford J, Fisher P, Hassall T, Armstrong G, Baker J, Qaddoumi I, Robinson G, Wetmore C, Klimo P, Boop F, Onar-Thomas A, Ellison D, Gajjar A, Cruz O, de Torres C, Sunol M, Rodriguez E, Alonso L, Parareda A, Cardesa T, Salvador H, Celis V, Guillen A, Garcia G, Muchart J, Trampal C, Martin ML, Rebollo M, Mora J, Piotrowski A, Kowalska A, Coyle P, Smith S, Rogers H, Macarthur D, Grundy R, Puccetti D, Salamat S, Kennedy T, Fangusaro J, Patel N, Bradley K, Casey K, Iskandar B, Nakano Y, Okada K, Osugi Y, Yamasaki K, Fujisaki H, Fukushima H, Inoue T, Matsusaka Y, Sakamoto H, Hara J, De Vleeschouwer S, Ardon H, Van Calenbergh F, Sciot R, Wilms G, Van Loon J, Goffin J, Van Gool S, Puccetti D, Salamat S, Rusinak D, Patel N, Bradley K, Casey K, Knight P, Onel K, Wargowski D, Stettner A, Iskandar B, Al-Ghafari A, Punjaruk W, Coyle B, Kerr I, Xipell E, Rodriguez M, Gonzalez-Huarriz M, Tunon MT, Zazpe I, Tejada-Solis S, Diez-Valle R, Fueyo J, Gomez-Manzano C, Alonso MM, Pastakia D, McCully C, Murphy R, Bacher J, Thomas M, Steffen-Smith E, Saleem K, Waldbridge S, Widemann B, Warren K, Miele E, Buttarelli F, Arcella A, Begalli F, Po A, Baldi C, Carissimo G, Antonelli M, Donofrio V, Morra I, Nozza P, Gulino A, Giangaspero F, Ferretti E, Elens I, De Vleeschouwer S, Pauwels F, Van Gool S, Fritzell S, Eberstal S, Sanden E, Visse E, Darabi A, Siesjo P, McDonald P, Wrogemann J, Krawitz S, Del Bigio M, Eisenstat D, Wolff J, Kwiecien R, Pietsch T, Faldum A, Kortmann RD, Warmuth-Metz M, Rutkowski S, Slavc I, Kramm CM, Uparkar U, Geyer R, Ermoian R, Ellenbogen R, Leary S, Triscott J, Hu K, Fotovati A, Yip S, Kast R, Toyota B, Dunn S, Hegde M, Corder A, Chow K, Mukherjee M, Ashoori A, Brawley V, Heslop H, Gottschalk S, Yvon E, Ahmed N, Wong TT, Yang FY, Lu M, Liang HF, Wang HE, Liu RS, Teng MC, Yen CC, Agnihotri S, Ternamian C, Jones C, Zadeh G, Rutka J, Hawkins C, Filipek I, Drogosiewicz M, Perek-Polnik M, Swieszkowska E, Baginska BD, Jurkiewicz E, Perek D, Kuehn A, Falkenstein F, Wolff J, Kwiecien R, Pietsch T, Gnekow A, Kramm C, Brooks MD, Jackson E, Piwnica-Worms D, Mitra RD, Rubin JB, Liu XY, Korshunov A, Schwartzentruber J, Jones DTW, Pfaff E, Sturm D, Fontebasso AM, Quang DAK, Albrecht S, Kool M, Dong Z, Siegel P, Von Diemling A, Faury D, Tabori U, Lichter P, Plass C, Majewski J, Pfister SM, Jabado N, Lulla R, Echevarria M, Alden T, DiPatri A, Tomita T, Goldman S, Fangusaro J, Qaddoumi I, Lin T, Merchant TE, Kocak M, Panandiker AP, Armstrong GT, Wetmore C, Gajjar A, Broniscer A, Gielen GH, Muehlen AZ, Kramm C, Pietsch T, Hubert C, Ding Y, Toledo C, Paddison P, Olson J, Nandhabalan M, Bjerke L, Bax D, Carvalho D, Bajrami I, Ashworth A, Lord C, Hargrave D, Reis R, Workman P, Jones C, Little S, Popov S, Jury A, Burford A, Doey L, Al-Sarraj S, Jurgensmeier J, Jones C, Carvalho D, Bjerke L, Bax D, Chen L, Kozarewa I, Baker S, Grundy R, Ashworth A, Lord C, Hargrave D, Reis R, Jones C, Bjerke L, Perryman L, Burford A, Bax D, Jury A, Popov S, Box G, Raynaud F, Hargrave D, Eccles S, Jones C, Viana-Pereira M, Pereira M, Burford A, Jury A, Popov S, Perryman L, Bax D, Forshew T, Tatevossian R, Sheer D, Pimental J, Pires M, Reis R, Jones C, Sarkar C, Jha P, Patrick IRP, Somasundaram K, Pathak P, Sharma MC, Suri V, Suri A, Gerges N, Haque T, Nantel A, Faury D, Jabado N, Lee C, Fotovati A, Triscott J, Chen J, Venugopal C, Singhal A, Dunham C, Kerr J, Verreault M, Yip S, Wakimoto H, Jones C, Jayanthan A, Narendran A, Singh S, Dunn S, Giraud G, Holm S, Gustavsson B, Van Gool S, Kizyma R, Kizyma Z, Dvornyak L, Kotsay B, Epari S, Sharma P, Gurav M, Gupta T, Shetty P, Moiyadi A, Kane S, Jalali R. HIGH GRADE GLIOMAS. Neuro Oncol 2012; 14:i56-i68. [PMCID: PMC3483348 DOI: 10.1093/neuonc/nos102] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/27/2023] Open
|
45
|
Suri A, Goodman L, DiFurio M, Chiu M, Soper J, Van Le L. Predictors of lymph node metastasis in patients with squamous cell vulvar cancer. Gynecol Oncol 2012. [DOI: 10.1016/j.ygyno.2011.12.194] [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: 10/28/2022]
|
46
|
Chandra PS, Gaikwad S, Garg A, Kumar R, Mahapatra AK, Mishra NK, Rathore Y, Sharma M, Sharma BS, Singh M, Suri A. Monitored gradual occlusion of the internal carotid artery followed by ligation for giant internal carotid artery aneurysms. Neurol India 2012; 60:174-9. [DOI: 10.4103/0028-3886.96396] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
|
47
|
Lakshmi Prasad G, Ramdurg SR, Suri A, Mahapatra AK. A rare association of meningioma with intratumoral bleed and acute subdural hematoma. Neurol India 2011; 58:977-8. [PMID: 21150084 DOI: 10.4103/0028-3886.73769] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
|
48
|
Foster R, Suri A, Filate W, Hallett D, Meyer J, Ruijs T, Callum JL, Sutton D, Mehta S. Use of intravenous immune globulin in the ICU: a retrospective review of prescribing practices and patient outcomes. Transfus Med 2011; 20:403-8. [PMID: 20663105 DOI: 10.1111/j.1365-3148.2010.01022.x] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
RATIONALE Intravenous immune globulin (IVIG) is a pooled human blood product. Much of IVIG use in Canada is prescribed for 'unlabelled' or 'off-label' indications. Due to costs, risk of use and limited supply, knowledge about the use of IVIG is important. We collected data regarding the usage of IVIG and outcomes of patients receiving IVIG in the intensive care units (ICUs) of two community and three academic hospitals. METHODS We reviewed the charts of adult patients who received IVIG in the five ICUs over a 5-year period. Data collection included demographics, severity of illness, indication for and dose of IVIG, mortality and adverse effects. On the basis of a classification developed by Canadian Blood Services, the indications for IVIG were then classified as 'appropriate' or 'inappropriate'. RESULTS One hundred and forty-five patients received IVIG in the ICU. In all, 19% of IVIG prescriptions were for 'appropriate' indications and 7% were 'inappropriate'. The remaining 74% were prescribed for indications with some evidence to support their use. Three indications accounted for 50% of all IVIG prescribed: Guillain-Barre syndrome (GBS), necrotising fasciitis (NF) and toxic epidermal necrolysis (TEN). Both the community and academic centres prescribed IVIG for similar indications. Adverse effects associated with IVIG administration included deep vein thrombosis/pulmonary embolism, fever and renal failure, although direct causation related to IVIG could not be established. The overall mortality rate was 55%. CONCLUSIONS IVIG is used relatively infrequently in the critical care setting. The most common indications were GBS, TEN and NF. Mortality was high. There was no difference between community and academic ICUs.
Collapse
Affiliation(s)
- R Foster
- Department of Medicine, Kelowna General Hospital, University of British Columbia Southern Medical Program, Kelowna, British Columbia, Canada
| | | | | | | | | | | | | | | | | |
Collapse
|
49
|
Maalo J, Gandamihardja T, Sherif M, Suri A, Lai L, Thomson S. Abstract P1-01-19: Comparison of Ultrasound-Guided Fine Needles Aspiration Cytology and Ultrasound Guided Core Biopsy in Pre-Operative Axillary Staging for Early Breast Cancer. Cancer Res 2010. [DOI: 10.1158/0008-5472.sabcs10-p1-01-19] [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: 11/16/2022]
Abstract
Abstract
Introduction: Pre-operative axillary staging is now widely accepted as a prerequisite in surgical management of the axilla for patients newly diagnosed with early breast cancer. For those patients having breast tumour excision who are found to have nodal involvement, axillary clearance can be performed at the same time without prior sentinel node biopsy. Ultrasound (US) alone has low sensitivity, but can be used to direct needle biopsy. We assessed and compared the sensitivity and specificity of US-guided core biopsies (USCB) and US-guided fine needle cytology (USFNAC) used in our unit.
Patients and methods: A retrospective and prospective data collection was performed between November 2007 and May 2010 on all newly diagnosed breast cancer patients in our unit since the introduction of routine pre-operative axillary US. Patients whose nodes looked benign or normal on US were offered sentinel node biopsy (SNB). Patients found to have suspicious nodes were offered USFNAC or USCB, according to the individual preference of the radiologists. Patients with positive cytology or histology underwent axillary node clearances (ANC), those with benign cytology or histology were offered SNB. The final histology results were reviewed and correlated to their pre-operative histology or cytology.
Results: Of 559 Axillary ultrasound scans performed in our department between November 2007 and May 2010, 229 patients had pre-operative US scans of the axilla for newly diagnosed, clinically node-negative breast cancer. Of these 46 had USFNAC, 44 had USCB and 139 had normal/benign US. The USFNAC and USCB groups had similar proportions of positive results on postoperative histology, namely 70% and 79% respectively, allowing direct comparisons to be made. Of the 46 USFNAC patients, 17 (37%) had positive cytology (all confirmed by axillary clearance final histology). The 29 USFNAC patients with negative cytology had 15 (52%) with positive histology on sentinel node biopsy. The sensitivity of USFNAC was 53% and the specificity 100%. Of the 44 USCB patients, 26 (59%) were positive (all confirmed by axillary clearance final histology). Of the 18 USCB-negative patients, 7 (39%) were found to be positive on axillary clearance. The sensitivity of USCB was 79% and the specificity 100%. Of the 139 patients with normal US, 42 (30%) were found to be positive on sentinel node biopsies. For US alone, sensitivity was 61% and specificity was 80%.
Conclusion: US staging of the axilla is superior to clinical staging. However, there is still a high incidence of false negative results, making US a crude way of assessing the axilla and confirming the necessity for sentinel node biopsy in US-negative axillae. For patients with axillae that are indeterminate on US, our data supports routine use of ultrasound core biopsy (USCB) over Ultrasound fine needle aspiration cytology (USFNAC) for preoperative staging of the axilla, where technically feasible.
Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr P1-01-19.
Collapse
Affiliation(s)
- J Maalo
- St Albans City Hospital, Hertfordshire, United Kingdom
| | | | - M Sherif
- St Albans City Hospital, Hertfordshire, United Kingdom
| | - A Suri
- St Albans City Hospital, Hertfordshire, United Kingdom
| | - L Lai
- St Albans City Hospital, Hertfordshire, United Kingdom
| | - S. Thomson
- St Albans City Hospital, Hertfordshire, United Kingdom
| |
Collapse
|
50
|
Bogdahn U, Hau P, Stockhammer G, Venkataramana NK, Mahapatra AK, Suri A, Balasubramaniam A, Nair S, Oliushine V, Parfenov V, Poverennova I, Zaaroor M, Jachimczak P, Ludwig S, Schmaus S, Heinrichs H, Schlingensiepen KH. Targeted therapy for high-grade glioma with the TGF-β2 inhibitor trabedersen: results of a randomized and controlled phase IIb study. Neuro Oncol 2010; 13:132-42. [PMID: 20980335 PMCID: PMC3018908 DOI: 10.1093/neuonc/noq142] [Citation(s) in RCA: 293] [Impact Index Per Article: 20.9] [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] [Indexed: 12/13/2022] Open
Abstract
This randomized, open-label, active-controlled, dose-finding phase IIb study evaluated the efficacy and safety of trabedersen (AP 12009) administered intratumorally by convection-enhanced delivery compared with standard chemotherapy in patients with recurrent/refractory high-grade glioma. One hundred and forty-five patients with central reference histopathology of recurrent/refractory glioblastoma multiforme (GBM) or anaplastic astrocytoma (AA) were randomly assigned to receive trabedersen at doses of 10 or 80 µM or standard chemotherapy (temozolomide or procarbazine/lomustine/vincristine). Primary endpoint was 6-month tumor control rate, and secondary endpoints included response at further timepoints, survival, and safety. Six-month tumor control rates were not significantly different in the entire study population (AA and GBM). Prespecified AA subgroup analysis showed a significant benefit regarding the 14-month tumor control rate for 10 µM trabedersen vs chemotherapy (p= .0032). The 2-year survival rate had a trend for superiority for 10 µM trabedersen vs chemotherapy (p = .10). Median survival for 10 µM trabedersen was 39.1 months compared with 35.2 months for 80 µM trabedersen and 21.7 months for chemotherapy (not significant). In GBM patients, response and survival results were comparable among the 3 arms. Exploratory analysis on GBM patients aged ≤55 years with Karnofsky performance status >80% at baseline indicated a 3-fold survival at 2 and 3 years for 10 µM trabedersen vs chemotherapy. The frequency of patients with related or possibly drug-related adverse events was higher with standard chemotherapy (64%) than with 80 µM trabedersen (43%) and 10 µM trabedersen (27%). Superior efficacy and safety for 10 µM trabedersen over 80 µM trabedersen and chemotherapy and positive risk–benefit assessment suggest it as the optimal dose for further clinical development in high-grade glioma.
Collapse
Affiliation(s)
- U Bogdahn
- University of Regensburg Medical School, Department of Neurology, Universitätsstr. 84, 93053 Regensburg, Germany.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|