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Journal ; Article ; Online: Prevention and management of hearing loss in patients receiving ototoxic medications

Lindeborg, Michael M / Jung, David H / Chan, Dylan K / Mitnick, Carole D

2022

Abstract: ... 789 ... ...

Abstract	789 796A
Keywords	Policy and Practice
Language	English
Publishing date	2022-12-01
Publisher	World Health Organization
Document type	Journal ; Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Prevention and management of hearing loss in patients receiving ototoxic medications.

Lindeborg, Michael M / Jung, David H / Chan, Dylan K / Mitnick, Carole D

Bulletin of the World Health Organization

2022 Volume 100, Issue 12, Page(s) 789–796A

Abstract: Following the efforts of patient advocates, the World Health Organization published updated guidelines for management of multidrug-resistant tuberculosis in 2018 that advised against the routine use of ototoxic second-line injectable drugs (amikacin, ... ...

Abstract	Following the efforts of patient advocates, the World Health Organization published updated guidelines for management of multidrug-resistant tuberculosis in 2018 that advised against the routine use of ototoxic second-line injectable drugs (amikacin, capreomycin and kanamycin). Although hearing loss is no longer considered an unavoidable harm for patients with multidrug-resistant tuberculosis, ototoxic medications continue to be used for several infectious and oncological disorders around the world. These drugs contribute to more than a half a million cases of hearing loss worldwide annually. Currently, there are no international standards for preventing and managing hearing loss associated with ototoxic medications. We present recent data on the prevention and management of hearing loss related to these drugs and highlight the variability in care across settings. More importantly, we aim to provide an evidence-based framework for evaluating, screening and preventing ototoxicity. Finally, we identify avenues for future research so that patients no longer have to choose between hearing loss and a disease cure. There remain significant gaps in our understanding about optimal screening and treatment of ototoxic hearing loss. Here we aim to inspire future international guidelines to address gaps in ototoxicity care and establish research agendas for eliminating ototoxic medications.
MeSH term(s)	Humans ; Ototoxicity/etiology ; Ototoxicity/prevention & control ; Deafness ; Hearing Loss/chemically induced ; Hearing Loss/prevention & control ; Tuberculosis, Multidrug-Resistant ; World Health Organization
Language	English
Publishing date	2022-09-02
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	80213-x
ISSN	1564-0604 ; 0042-9686 ; 0366-4996 ; 0510-8659
ISSN (online)	1564-0604
ISSN	0042-9686 ; 0366-4996 ; 0510-8659
DOI	10.2471/BLT.21.286823
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book ; Online: Time CNN and Graph Convolution Network for Epileptic Spike Detection in MEG Data

Mouches, Pauline / Dejean, Thibaut / Jung, Julien / Bouet, Romain / Lartizien, Carole / Quentin, Romain

2023

Abstract: Magnetoencephalography (MEG) recordings of patients with epilepsy exhibit spikes, a typical biomarker of the pathology. Detecting those spikes allows accurate localization of brain regions triggering seizures. Spike detection is often performed manually. ...

Abstract	Magnetoencephalography (MEG) recordings of patients with epilepsy exhibit spikes, a typical biomarker of the pathology. Detecting those spikes allows accurate localization of brain regions triggering seizures. Spike detection is often performed manually. However, it is a burdensome and error prone task due to the complexity of MEG data. To address this problem, we propose a 1D temporal convolutional neural network (Time CNN) coupled with a graph convolutional network (GCN) to classify short time frames of MEG recording as containing a spike or not. Compared to other recent approaches, our models have fewer parameters to train and we propose to use a GCN to account for MEG sensors spatial relationships. Our models produce clinically relevant results and outperform deep learning-based state-of-the-art methods reaching a classification f1-score of 76.7% on a balanced dataset and of 25.5% on a realistic, highly imbalanced dataset, for the spike class. Comment: This work has been submitted to IEEE ISBI 2024 for possible publication
Keywords	Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning
Subject code	006
Publishing date	2023-10-13
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Increase in the Initial Outpatient Rehabilitation Utilization for Patients With Total Knee Arthroplasty.

Lee, Mi Jung / Tucker, Carole A / Fisher, Steve R / Tahashilder, Md Ibrahim / Prichard, Kevin T / Kuo, Yong-Fang

Archives of physical medicine and rehabilitation

2023 Volume 104, Issue 11, Page(s) 1812–1819.e6

Abstract: Objectives: The objective of this study was to examine the patient characteristics and features associated with the initial rehabilitation utilization with a particular emphasis on outpatient rehabilitation after total knee arthroplasty (TKA) among 2016- ...

Abstract	Objectives: The objective of this study was to examine the patient characteristics and features associated with the initial rehabilitation utilization with a particular emphasis on outpatient rehabilitation after total knee arthroplasty (TKA) among 2016-2018 Texas Medicare enrollees. Design: This is a retrospective cohort study. We used chi-square tests to examine the variability in patient demographic and clinical characteristics across the different post-acute rehabilitation settings after TKA. A Cochran-Armitage trend test was used to investigate the yearly trend of outpatient rehabilitation utilization after TKA. Setting: Post-acute rehabilitation settings after TKA. Participants: The target population was Medicare beneficiaries aged ≥65 with an initial TKA in 2016-2018 and complete demographic and residential information (N=44,313). Interventions: Not applicable. Main outcome measures: We identified whether patients first used (1) outpatient rehabilitation, (2) home health, (3) self-care, (4) inpatient rehabilitation, (5) skilled nursing, or (6) other setting within the 3 months after TKA. Results: Our results demonstrated an increasing use of the initial outpatient rehabilitation and home health, while the use of skilled nursing and inpatient rehabilitation facilities decreased from 2016 to 2018. The increase in outpatient utilization was significant in 2018 compared with 2016 controlling for distance to the TKA facilities, comorbid conditions, sex, race/ethnicity groups (White, Black, Hispanic, and Others), lower income (Medicaid eligible), Medicare entitlement types, age groups, and rurality (OR 1.23, 95% CI 1.12-1.34). However, the overall utilization rate of the initial outpatient rehabilitation after TKA remained low, increasing from 7.36% in 2016 to 8.60% in 2018. Conclusion: Despite the growing use of the initial outpatient rehabilitation after TKA, the overall rate of outpatient rehabilitation utilization remained low. Our findings raise an important question as to whether certain patient demographics and clinical groups might have limited access to outpatient rehabilitation after TKA.
MeSH term(s)	Humans ; Aged ; United States ; Arthroplasty, Replacement, Knee/rehabilitation ; Medicare ; Outpatients ; Retrospective Studies ; Rehabilitation Centers
Language	English
Publishing date	2023-04-28
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	80057-0
ISSN	1532-821X ; 0003-9993
ISSN (online)	1532-821X
ISSN	0003-9993
DOI	10.1016/j.apmr.2023.03.033
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Article ; Online: Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: Application to epilepsy lesion screening.

Alaverdyan, Zaruhi / Jung, Julien / Bouet, Romain / Lartizien, Carole

Medical image analysis

2019 Volume 60, Page(s) 101618

Abstract: In this study, we propose a novel anomaly detection model targeting subtle brain lesions in multiparametric MRI. To compensate for the lack of annotated data adequately sampling the heterogeneity of such pathologies, we cast this problem as an outlier ... ...

Abstract	In this study, we propose a novel anomaly detection model targeting subtle brain lesions in multiparametric MRI. To compensate for the lack of annotated data adequately sampling the heterogeneity of such pathologies, we cast this problem as an outlier detection problem and introduce a novel configuration of unsupervised deep siamese networks to learn normal brain representations using a series of non-pathological brain scans. The proposed siamese network, composed of stacked convolutional autoencoders as subnetworks is designed to map patches extracted from healthy control scans only and centered at the same spatial localization to 'close' representations with respect to the chosen metric in a latent space. It is based on a novel loss function combining a similarity term and a regularization term compensating for the lack of dissimilar pairs. These latent representations are then fed into oc-SVM models at voxel-level to produce anomaly score maps. We evaluate the performance of our brain anomaly detection model to detect subtle epilepsy lesions in multiparametric (T1-weighted, FLAIR) MRI exams considered as normal (MRI-negative). Our detection model trained on 75 healthy subjects and validated on 21 epilepsy patients (with 18 MRI-negatives) achieves a maximum sensitivity of 61% on the MRI-negative lesions, identified among the 5 most suspicious detections on average. It is shown to outperform detection models based on the same architecture but with stacked convolutional or Wasserstein autoencoders as unsupervised feature extraction mechanisms.
MeSH term(s)	Adolescent ; Adult ; Aged ; Datasets as Topic ; Epilepsy/diagnostic imaging ; Female ; Humans ; Image Interpretation, Computer-Assisted/methods ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Neural Networks, Computer ; Unsupervised Machine Learning
Language	English
Publishing date	2019-11-21
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1356436-5
ISSN	1361-8423 ; 1361-8431 ; 1361-8415
ISSN (online)	1361-8423 ; 1361-8431
ISSN	1361-8415
DOI	10.1016/j.media.2019.101618
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Article ; Online: The hepatokine FGL1 regulates hepcidin and iron metabolism during anemia in mice by antagonizing BMP signaling.

Sardo, Ugo / Perrier, Prunelle / Cormier, Kevin / Sotin, Manon / Personnaz, Jean / Medjbeur, Thanina / Desquesnes, Aurore / Cannizzo, Lisa / Ruiz-Martinez, Marc / Thevenin, Julie / Billoré, Benjamin / Jung, Grace / Abboud, Elise / Peyssonnaux, Carole / Nemeth, Elizabeta / Ginzburg, Yelena Z / Ganz, Tomas / Kautz, Léon

Blood

2024 Volume 143, Issue 13, Page(s) 1282–1292

Abstract: Abstract: As a functional component of erythrocyte hemoglobin, iron is essential for oxygen delivery to all tissues in the body. The liver-derived peptide hepcidin is the master regulator of iron homeostasis. During anemia, the erythroid hormone ... ...

Abstract	Abstract: As a functional component of erythrocyte hemoglobin, iron is essential for oxygen delivery to all tissues in the body. The liver-derived peptide hepcidin is the master regulator of iron homeostasis. During anemia, the erythroid hormone erythroferrone regulates hepcidin synthesis to ensure the adequate supply of iron to the bone marrow for red blood cell production. However, mounting evidence suggested that another factor may exert a similar function. We identified the hepatokine fibrinogen-like 1 (FGL1) as a previously undescribed suppressor of hepcidin that is induced in the liver in response to hypoxia during the recovery from anemia, and in thalassemic mice. We demonstrated that FGL1 is a potent suppressor of hepcidin in vitro and in vivo. Deletion of Fgl1 in mice results in higher hepcidin levels at baseline and after bleeding. FGL1 exerts its activity by directly binding to bone morphogenetic protein 6 (BMP6), thereby inhibiting the canonical BMP-SMAD signaling cascade that controls hepcidin transcription.
MeSH term(s)	Mice ; Animals ; Hepcidins/genetics ; Hepcidins/metabolism ; Anemia/genetics ; Anemia/metabolism ; Iron/metabolism ; Liver/metabolism ; Bone Morphogenetic Protein 6/genetics ; Bone Morphogenetic Protein 6/metabolism ; Homeostasis
Chemical Substances	Hepcidins ; Iron (E1UOL152H7) ; Bone Morphogenetic Protein 6
Language	English
Publishing date	2024-02-06
Publishing country	United States
Document type	Journal Article
ZDB-ID	80069-7
ISSN	1528-0020 ; 0006-4971
ISSN (online)	1528-0020
ISSN	0006-4971
DOI	10.1182/blood.2023022724
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Article: Development of MDS in Pediatric Patients with GATA2 Deficiency: Increased Histone Trimethylation and Deregulated Apoptosis as Potential Drivers of Transformation.

Schreiber, Franziska / Piontek, Guido / Schneider-Kimoto, Yuki / Schwarz-Furlan, Stephan / De Vito, Rita / Locatelli, Franco / Gengler, Carole / Yoshimi, Ayami / Jung, Andreas / Klauschen, Frederick / Niemeyer, Charlotte M / Erlacher, Miriam / Rudelius, Martina

Cancers

2023 Volume 15, Issue 23

Abstract: GATA2 deficiency is a heterogeneous, multisystem disorder associated with a high risk of developing myelodysplastic syndrome (MDS) and the progression to acute myeloid leukemia. The mechanisms underlying malignant transformation in GATA2 deficiency ... ...

Abstract	GATA2 deficiency is a heterogeneous, multisystem disorder associated with a high risk of developing myelodysplastic syndrome (MDS) and the progression to acute myeloid leukemia. The mechanisms underlying malignant transformation in GATA2 deficiency remain poorly understood, necessitating predictive markers to assess an individual's risk of progression and guide therapeutic decisions. In this study, we performed a systematic analysis of bone marrow biopsies from 57 pediatric MDS patients. Focusing on hematopoiesis and the hematopoietic niche, including its microenvironment, we used multiplex immunofluorescence combined with multispectral imaging, gene expression profiling, and multiplex RNA in situ hybridization. Patients with a GATA2 deficiency exhibited a dysregulated
Language	English
Publishing date	2023-11-26
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2527080-1
ISSN	2072-6694
ISSN	2072-6694
DOI	10.3390/cancers15235594
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Is self-reported risk aversion time variant?

Jung, Seeun / Treibich, Carole

Revue d'économie politique Vol. 125, No. 4 , p. 547-570

2015 Volume 125, Issue 4, Page(s) 547–570

Author's details	Seeun Jung, Carole Treibich
Keywords	Risk Aversion ; Panel Data
Language	English
Dates of publication	2015-9999
Publisher	Dalloz$h1887-
Publishing place	Paris
Document type	Article
Note	Zusammenfassung in französischer Sprache
ZDB-ID	241473-9 ; 2122694-5
ISSN	0373-2630
ISSN	0373-2630
Database	ECONomics Information System

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Article ; Online: Phenotypic assays in yeast and zebrafish reveal drugs that rescue

Heins-Marroquin, Ursula / Jung, Paul P / Cordero-Maldonado, Maria Lorena / Crawford, Alexander D / Linster, Carole L

Brain communications

2019 Volume 1, Issue 1, Page(s) fcz019

Abstract: Mutations ... ...

Abstract	Mutations in
Language	English
Publishing date	2019-09-27
Publishing country	England
Document type	Journal Article
ISSN	2632-1297
ISSN (online)	2632-1297
DOI	10.1093/braincomms/fcz019
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Deep-learning predicted PET can be subtracted from the true clinical fluorodeoxyglucose PET co-registered to MRI to identify the epileptogenic zone in focal epilepsy.

Flaus, Anthime / Jung, Julien / Ostrowky-Coste, Karine / Rheims, Sylvain / Guénot, Marc / Bouvard, Sandrine / Janier, Marc / Yaakub, Siti N / Lartizien, Carole / Costes, Nicolas / Hammers, Alexander

Epilepsia open

2023 Volume 8, Issue 4, Page(s) 1440–1451

Abstract: Objective: Normal interictal [: Methods: Patients with complete presurgical work-up and subsequent SEEG and cortectomy were included. RZ localisation, the reference region, was assigned to one of eighteen anatomical brain regions. SIPCOM was ... ...

Abstract	Objective: Normal interictal [ Methods: Patients with complete presurgical work-up and subsequent SEEG and cortectomy were included. RZ localisation, the reference region, was assigned to one of eighteen anatomical brain regions. SIPCOM was implemented using healthy controls to train a GAN. To compare, the clinical PET coregistered to MRI was visually assessed by two trained readers, and a standard SPM analysis was performed. Results: Twenty patients aged 17-50 (32 ± 7.8) years were included, 14 (70%) with temporal lobe epilepsy (TLE). Eight (40%) were MRI-negative. After surgery, 14 patients (70%) had a good outcome (Engel I-II). RZ localisation rate was 60% with SIPCOM vs 35% using SPM (P = 0.015) and vs 85% using visual analysis (P = 0.54). Results were similar for Engel I-II patients, the RZ localisation rate was 64% with SIPCOM vs 36% with SPM. With SIPCOM localisation was correct in 67% in MRI-positive vs 50% in MRI-negative patients, and 64% in TLE vs 43% in extra-TLE. The average number of false-positive clusters was 2.2 ± 1.3 using SIPCOM vs 2.3 ± 3.1 using SPM. All RZs localized with SPM were correctly localized with SIPCOM. In one case, PET and MRI were visually reported as negative, but both SIPCOM and SPM localized the RZ. Significance: SIPCOM performed better than the reference computer-assisted method (SPM) for RZ detection in a group of operated DRE patients. SIPCOM's impact on epilepsy management needs to be prospectively validated.
MeSH term(s)	Humans ; Deep Learning ; Positron-Emission Tomography/methods ; Epilepsy, Temporal Lobe/surgery ; Fluorodeoxyglucose F18 ; Epilepsy ; Drug Resistant Epilepsy/diagnostic imaging ; Drug Resistant Epilepsy/surgery ; Magnetic Resonance Imaging
Chemical Substances	Fluorodeoxyglucose F18 (0Z5B2CJX4D)
Language	English
Publishing date	2023-08-29
Publishing country	United States
Document type	Journal Article
ISSN	2470-9239
ISSN (online)	2470-9239
DOI	10.1002/epi4.12820
Database	MEDical Literature Analysis and Retrieval System OnLINE

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