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24 results on '"Fatima, Safoora"'

1. Trends in management of patients with new‐onset refractory status epilepticus (NORSE) from 2016 to 2023: An interim analysis

Author

Hanin, Aurelie, primary, Jimenez, Anthony D., additional, Gopaul, Margaret, additional, Asbell, Hannah, additional, Aydemir, Seyhmus, additional, Basha, Maysaa Merhi, additional, Batra, Ayush, additional, Damien, Charlotte, additional, Day, Gregory S., additional, Eka, Onome, additional, Eschbach, Krista, additional, Fatima, Safoora, additional, Fields, Madeline C., additional, Foreman, Brandon, additional, Gerard, Elizabeth E., additional, Gofton, Teneille E., additional, Haider, Hiba A., additional, Hantus, Stephen T., additional, Hocker, Sara, additional, Jongeling, Amy, additional, Kalkach Aparicio, Mariel, additional, Kandula, Padmaja, additional, Kang, Peter, additional, Kazazian, Karnig, additional, Kellogg, Marissa A., additional, Kim, Minjee, additional, Lee, Jong Woo, additional, Marcuse, Lara V., additional, McGraw, Christopher M., additional, Mohamed, Wazim, additional, Orozco, Janet, additional, Pimentel, Cederic M., additional, Punia, Vineet, additional, Ramirez, Alexandra M., additional, Steriade, Claude, additional, Struck, Aaron F., additional, Taraschenko, Olga, additional, Treister, Andrew K., additional, Wainwright, Mark S., additional, Yoo, Ji Yeoun, additional, Zafar, Sahar, additional, Zhou, Daniel J., additional, Zutshi, Deepti, additional, Gaspard, Nicolas, additional, and Hirsch, Lawrence J., additional

Published
2024
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3. Comparative analysis of patients with new onset refractory status epilepticus preceded by fever (febrile infection‐related epilepsy syndrome) versus without prior fever: An interim analysis

Author

Jimenez, Anthony D., primary, Gopaul, Margaret, additional, Asbell, Hannah, additional, Aydemir, Seyhmus, additional, Basha, Maysaa M., additional, Batra, Ayush, additional, Damien, Charlotte, additional, Day, Gregory S., additional, Eka, Onome, additional, Eschbach, Krista, additional, Fatima, Safoora, additional, Fields, Madeline C., additional, Foreman, Brandon, additional, Gerard, Elizabeth E., additional, Gofton, Teneille E., additional, Haider, Hiba A., additional, Hantus, Stephen T., additional, Hocker, Sara, additional, Jongeling, Amy, additional, Kalkach Aparicio, Mariel, additional, Kandula, Padmaja, additional, Kang, Peter, additional, Kazazian, Karnig, additional, Kellogg, Marissa A., additional, Kim, Minjee, additional, Lee, Jong Woo, additional, Marcuse, Lara V., additional, McGraw, Christopher M., additional, Mohamed, Wazim, additional, Orozco, Janet, additional, Pimentel, Cederic, additional, Punia, Vineet, additional, Ramirez, Alexandra M., additional, Steriade, Claude, additional, Struck, Aaron F., additional, Taraschenko, Olga, additional, Treister, Andrew K., additional, Yoo, Ji Yeoun, additional, Zafar, Sahar, additional, Zhou, Daniel J., additional, Zutshi, Deepti, additional, Gaspard, Nicolas, additional, Hirsch, Lawrence J., additional, and Hanin, Aurelie, additional

Published
2024
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6. Seizure Assessment and Forecasting With Efficient Rapid-EEG: A Retrospective Multicenter Comparative Effectiveness Study.

Author

Kalkach-Aparicio, Mariel, Fatima, Safoora, Selte, Atakan, Sheikh, Irfan S., Cormier, Justine, Gallagher, Kaileigh, Avagyan, Gayane, Cespedes, Jorge, Krishnamurthy, Parimala V., Elazim, Ahmed Abd, Khan, Natasha, Hussein, Omar M., Maganti, Rama, Larocque, Joshua, Holla, Smitha, Desai, Masoom, Westover, Brandon, Hirsch, Lawrence J., and Struck, Aaron F.

Published
2024
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10. Interrater Reliability of Expert Electroencephalographers Identifying Seizures and Rhythmic and Periodic Patterns in EEGs.

Author

Jing, Jin, Ge, Wendong, Struck, Aaron F, Fernandes, Marta Bento, Hong, Shenda, An, Sungtae, Fatima, Safoora, Herlopian, Aline, Karakis, Ioannis, Halford, Jonathan J.J., Ng, Marcus C, Johnson, Emily L, Appavu, Brian L, Sarkis, Rani A, Osman, Gamaleldin, Kaplan, Peter W, Dhakar, Monica B, Jayagopal, Lakshman Arcot, Sheikh, Zubeda, Taraschenko, Olga, Schmitt, Sarah S.E., Haider, Hiba Arif, Kim, Jennifer Ahjin, Swisher, Christa B, Gaspard, Nicolas, Cervenka, Mackenzie MC, Rodriguez Ruiz, Andres A, Lee, Jong Woo, Tabaeizadeh, Mohammad, Gilmore, Emily Jean, Nordstrom, Kristy, Yoo, Ji Yeoun, Holmes, Manisha G, Herman, Susan T, Williams, Jennifer A, Pathmanathan, Jay, Nascimento, Fábio A, Fan, Ziwei, Nasiri, Samaneh, Shafi, Mouhsin M.M., Cash, Sydney S.S., Hoch, Daniel Brian, Cole, Andrew J, Rosenthal, Eric S, Zafar, Sahar F, Sun, Jimeng, Westover, Michael Brandon, Jing, Jin, Ge, Wendong, Struck, Aaron F, Fernandes, Marta Bento, Hong, Shenda, An, Sungtae, Fatima, Safoora, Herlopian, Aline, Karakis, Ioannis, Halford, Jonathan J.J., Ng, Marcus C, Johnson, Emily L, Appavu, Brian L, Sarkis, Rani A, Osman, Gamaleldin, Kaplan, Peter W, Dhakar, Monica B, Jayagopal, Lakshman Arcot, Sheikh, Zubeda, Taraschenko, Olga, Schmitt, Sarah S.E., Haider, Hiba Arif, Kim, Jennifer Ahjin, Swisher, Christa B, Gaspard, Nicolas, Cervenka, Mackenzie MC, Rodriguez Ruiz, Andres A, Lee, Jong Woo, Tabaeizadeh, Mohammad, Gilmore, Emily Jean, Nordstrom, Kristy, Yoo, Ji Yeoun, Holmes, Manisha G, Herman, Susan T, Williams, Jennifer A, Pathmanathan, Jay, Nascimento, Fábio A, Fan, Ziwei, Nasiri, Samaneh, Shafi, Mouhsin M.M., Cash, Sydney S.S., Hoch, Daniel Brian, Cole, Andrew J, Rosenthal, Eric S, Zafar, Sahar F, Sun, Jimeng, and Westover, Michael Brandon

Abstract

The validity of brain monitoring using electroencephalography (EEG), particularly to guide care in patients with acute or critical illness, requires that experts can reliably identify seizures and other potentially harmful rhythmic and periodic brain activity, collectively referred to as "ictal-interictal-injury continuum" (IIIC). Previous interrater reliability (IRR) studies are limited by small samples and selection bias. This study was conducted to assess the reliability of experts in identifying IIIC., SCOPUS: ar.j, info:eu-repo/semantics/published

Published
2023

11. Interrater Reliability of Expert Electroencephalographers Identifying Seizures and Rhythmic and Periodic Patterns in EEGs

Author

Jing, Jin, primary, Ge, Wendong, additional, Struck, Aaron F., additional, Fernandes, Marta Bento, additional, Hong, Shenda, additional, An, Sungtae, additional, Fatima, Safoora, additional, Herlopian, Aline, additional, Karakis, Ioannis, additional, Halford, Jonathan J., additional, Ng, Marcus C., additional, Johnson, Emily L., additional, Appavu, Brian L., additional, Sarkis, Rani A., additional, Osman, Gamaleldin, additional, Kaplan, Peter W., additional, Dhakar, Monica B., additional, Jayagopal, Lakshman Arcot, additional, Sheikh, Zubeda, additional, Taraschenko, Olga, additional, Schmitt, Sarah, additional, Haider, Hiba A., additional, Kim, Jennifer A., additional, Swisher, Christa B., additional, Gaspard, Nicolas, additional, Cervenka, Mackenzie C., additional, Rodriguez Ruiz, Andres A., additional, Lee, Jong Woo, additional, Tabaeizadeh, Mohammad, additional, Gilmore, Emily J., additional, Nordstrom, Kristy, additional, Yoo, Ji Yeoun, additional, Holmes, Manisha G., additional, Herman, Susan T., additional, Williams, Jennifer A., additional, Pathmanathan, Jay, additional, Nascimento, Fábio A., additional, Fan, Ziwei, additional, Nasiri, Samaneh, additional, Shafi, Mouhsin M., additional, Cash, Sydney S., additional, Hoch, Daniel B., additional, Cole, Andrew J., additional, Rosenthal, Eric S., additional, Zafar, Sahar F., additional, Sun, Jimeng, additional, and Westover, M. Brandon, additional

Published
2022
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12. Development and Validation of a Model to Identify Critical Brain Injuries Using Natural Language Processing of Text Computed Tomography Reports

Author

Torres-Lopez, Victor M., primary, Rovenolt, Grace E., additional, Olcese, Angelo J., additional, Garcia, Gabriella E., additional, Chacko, Sarah M., additional, Robinson, Amber, additional, Gaiser, Edward, additional, Acosta, Julian, additional, Herman, Alison L., additional, Kuohn, Lindsey R., additional, Leary, Megan, additional, Soto, Alexandria L., additional, Zhang, Qiang, additional, Fatima, Safoora, additional, Falcone, Guido J., additional, Payabvash, Seyedmehdi, additional, Sharma, Richa, additional, Struck, Aaron F., additional, Sheth, Kevin N., additional, Westover, M. Brandon, additional, and Kim, Jennifer A., additional

Published
2022
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14. Diagnostic Approach to Pulsatile Tinnitus: A Narrative Review

Author

Kazim H. Narsinh, Ferdinand Hui, David Saloner, Adelyn Tu-Chan, Jeffrey Sharon, Andreas M. Rauschecker, Fatima Safoora, Vinil Shah, Karl Meisel, and Matthew R. Amans

Subjects
Central Nervous System Vascular Malformations, Tinnitus, Otorhinolaryngology, Humans, Surgery
Abstract

Pulsatile tinnitus is a debilitating symptom affecting millions of Americans and can be a harbinger of hemorrhagic or ischemic stroke. Careful diagnostic evaluation of pulsatile tinnitus is critical in providing optimal care and guiding the appropriate treatment strategy.An underlying cause of pulsatile tinnitus can be identified in more than 70% of patients with a thorough evaluation. We advocate categorizing the myriad causes of pulsatile tinnitus into structural, metabolic, and vascular groups. Structural causes of pulsatile tinnitus include neoplasms and temporal bone pathologic abnormalities. Metabolic causes of pulsatile tinnitus include ototoxic medications and systemic causes of high cardiac output. Vascular causes of pulsatile tinnitus include idiopathic intracranial hypertension and dural arteriovenous fistulas. This categorization facilitates a practical evaluation, referral, and treatment pattern.Categorizing the underlying cause of pulsatile tinnitus ensures that dangerous causes of pulsatile tinnitus are not missed, and that patients receive the appropriate care from the proper specialist when needed.

Published
2022

16. Validity of the Health Assessment Questionnaire Predicting All‐Cause Mortality in Early Rheumatoid Arthritis: Reply to three letters to the editor

Author

Fatima, Safoora, primary, Schieir, O., additional, Valois, M.F., additional, Bartlett, S.J., additional, Bessette, L., additional, Boire, G., additional, Hazlewood, G., additional, Hitchon, C., additional, Keystone, E.C., additional, Tin, D., additional, Thorne, C., additional, Bykerk, V.P., additional, Pope, J.E., additional, and Investigators, CATCH, additional

Published
2021
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17. Measles 101

Author

Nathala, Pavani, primary, Fatima, Safoora, additional, Sumner, Riley, additional, and Lippmann, Steven, additional

Published
2019
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18. Health Assessment Questionnaire at One Year Predicts All‐Cause Mortality in Patients With Early Rheumatoid Arthritis.

Author

Fatima, Safoora, Schieir, O., Valois, M. F., Bartlett, S. J., Bessette, L., Boire, G., Hazlewood, G., Hitchon, C., Keystone, E. C., Tin, D., Thorne, C., Bykerk, V. P., Pope, J. E., Baron, Murray, Bessette, Louis, Boire, Gilles, Bykerk, Vivian, Colmegna, Ines, Fallavollita, Sabrina, and Haaland, Derek

Subjects
*CONFIDENCE intervals, *DISABILITY evaluation, *QUESTIONNAIRES, *RHEUMATOID arthritis, *PROPORTIONAL hazards models, *DESCRIPTIVE statistics
Abstract

Objective: Higher self‐reported disability (high Health Assessment Questionnaire [HAQ] score) has been associated with hospitalizations and mortality in established rheumatoid arthritis (RA), but associations in early RA are unknown. Methods: Patients with early RA (symptom duration <1 year) enrolled in the Canadian Early Arthritis Cohort who initiated disease‐modifying antirheumatic drugs and had completed HAQ data at baseline and 1 year were included in the study. Discrete‐time proportional hazards models were used to estimate crude and multi‐adjusted associations of baseline HAQ and HAQ at 1 year with all‐cause mortality in each year of follow‐up. Results: A total of 1,724 patients with early RA were included. The mean age was 55 years, and 72% were women. Over 10 years, 62 deaths (3.6%) were recorded. Deceased patients had higher HAQ scores at baseline (mean ± SD 1.2 ± 0.7) and at 1 year (0.9 ± 0.7) than living patients (1.0 ± 0.7 and 0.5 ± 0.6, respectively; P < 0.001). Disease Activity Score in 28 joints (DAS28) was higher in deceased versus living patients at baseline (mean ± SD 5.4 ± 1.3 versus 4.9 ± 1.4) and at 1 year (mean ± SD 3.6 ± 1.4 versus 2.8 ± 1.4) (P < 0.001). Older age, male sex, lower education level, smoking, more comorbidities, higher baseline DAS28, and glucocorticoid use were associated with mortality. Contrary to HAQ score at baseline, the association between all‐cause mortality and HAQ score at 1 year remained significant even after adjustment for confounders. For baseline HAQ score, the unadjusted hazard ratio (HR) was 1.46 (95% confidence interval [95% CI] 1.02–2.09), and the adjusted HR was 1.25 (95% CI 0.81–1.94). For HAQ score at 1 year, the unadjusted HR was 2.58 (95% CI 1.78–3.72), and the adjusted HR was 1.75 (95% CI 1.10–2.77). Conclusion: Our findings indicate that higher HAQ score and DAS28 at 1 year are significantly associated with all‐cause mortality in a large early RA cohort. [ABSTRACT FROM AUTHOR]

Published
2021
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19. Reply.

Author

Fatima, Safoora, Schieir, O., Keystone, E. C., Valois, M. F., Bartlett, S. J., Bessette, L., Boire, G., Hazlewood, G., Hitchon, C., Tin, D., Thorne, C., Bykerk, V. P., and Pope, J. E.

Subjects
*FUNCTIONAL status, *RHEUMATOID arthritis
Abstract

The article discusses the predictive capacity in estimating the risk of all-cause mortality among patients with Rheumatoid Arthritis (RA). Topics include HAQ disability index score, with the results showing similar levels of association with mortality but without improvement in the fit of the model; and Rheumatic Disease Comorbidity Index and could increase the rate of all-cause mortality.

Published
2022
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24. Interrater Reliability of Expert Electroencephalographers Identifying Seizures and Rhythmic and Periodic Patterns in EEGs.

Author

Jing J, Ge W, Struck AF, Fernandes MB, Hong S, An S, Fatima S, Herlopian A, Karakis I, Halford JJ, Ng MC, Johnson EL, Appavu BL, Sarkis RA, Osman G, Kaplan PW, Dhakar MB, Jayagopal LA, Sheikh Z, Taraschenko O, Schmitt S, Haider HA, Kim JA, Swisher CB, Gaspard N, Cervenka MC, Rodriguez Ruiz AA, Lee JW, Tabaeizadeh M, Gilmore EJ, Nordstrom K, Yoo JY, Holmes MG, Herman ST, Williams JA, Pathmanathan J, Nascimento FA, Fan Z, Nasiri S, Shafi MM, Cash SS, Hoch DB, Cole AJ, Rosenthal ES, Zafar SF, Sun J, and Westover MB

Subjects
Humans, Female, Middle Aged, Reproducibility of Results, Brain, Critical Illness, Seizures, Electroencephalography methods
Abstract

Background and Objectives: The validity of brain monitoring using electroencephalography (EEG), particularly to guide care in patients with acute or critical illness, requires that experts can reliably identify seizures and other potentially harmful rhythmic and periodic brain activity, collectively referred to as "ictal-interictal-injury continuum" (IIIC). Previous interrater reliability (IRR) studies are limited by small samples and selection bias. This study was conducted to assess the reliability of experts in identifying IIIC., Methods: This prospective analysis included 30 experts with subspecialty clinical neurophysiology training from 18 institutions. Experts independently scored varying numbers of ten-second EEG segments as "seizure (SZ)," "lateralized periodic discharges (LPDs)," "generalized periodic discharges (GPDs)," "lateralized rhythmic delta activity (LRDA)," "generalized rhythmic delta activity (GRDA)," or "other." EEGs were performed for clinical indications at Massachusetts General Hospital between 2006 and 2020. Primary outcome measures were pairwise IRR (average percent agreement [PA] between pairs of experts) and majority IRR (average PA with group consensus) for each class and beyond chance agreement (κ). Secondary outcomes were calibration of expert scoring to group consensus, and latent trait analysis to investigate contributions of bias and noise to scoring variability., Results: Among 2,711 EEGs, 49% were from women, and the median (IQR) age was 55 (41) years. In total, experts scored 50,697 EEG segments; the median [range] number scored by each expert was 6,287.5 [1,002, 45,267]. Overall pairwise IRR was moderate (PA 52%, κ 42%), and majority IRR was substantial (PA 65%, κ 61%). Noise-bias analysis demonstrated that a single underlying receiver operating curve can account for most variation in experts' false-positive vs true-positive characteristics (median [range] of variance explained ([Formula: see text]): 95 [93, 98]%) and for most variation in experts' precision vs sensitivity characteristics ([Formula: see text]: 75 [59, 89]%). Thus, variation between experts is mostly attributable not to differences in expertise but rather to variation in decision thresholds., Discussion: Our results provide precise estimates of expert reliability from a large and diverse sample and a parsimonious theory to explain the origin of disagreements between experts. The results also establish a standard for how well an automated IIIC classifier must perform to match experts., Classification of Evidence: This study provides Class II evidence that an independent expert review reliably identifies ictal-interictal injury continuum patterns on EEG compared with expert consensus., (© 2022 American Academy of Neurology.)

Published
2023
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