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Article ; Online: Ovarian mass Presenting as Paraneoplastic cerebellar degeneration with peripheral neuropathy and anti-Yo antibody.

Sahoo, Debananda / Dey, Anupam / Dash, Anil / Dash, Arpita

BMJ case reports

2024 Volume 17, Issue 1

Abstract: Paraneoplastic neurological syndromes (PNS) are a group of disorders with diverse neurological manifestations that are observed in patients with various types of cancer. Any portion of the nervous system can be affected by these syndromes, which are ... ...

Abstract	Paraneoplastic neurological syndromes (PNS) are a group of disorders with diverse neurological manifestations that are observed in patients with various types of cancer. Any portion of the nervous system can be affected by these syndromes, which are brought on by processes other than metastasis, direct tumour spread or chemotherapy side effects. An immune-mediated attack on the cerebellar Purkinje cells and consequent cerebellar symptoms define paraneoplastic cerebellar degeneration(PCD), a subtype of the PNS. Axonal or demyelinating paraneoplastic peripheral neuropathies are both possible. Here, we describe the case of a middle-aged woman who presented with subacute-onset cerebellar symptoms and peripheral neuropathy, was discovered to have a positive anti-Yo antibody, and was later detected to have an ovarian mass. This case illustrates the significance of considering a paraneoplastic aetiology in patients with otherwise unexplained neurological manifestations and initiating an appropriate workup and early treatment for the primary malignancy.
MeSH term(s)	Middle Aged ; Female ; Humans ; Paraneoplastic Cerebellar Degeneration/diagnosis ; Paraneoplastic Cerebellar Degeneration/pathology ; Peripheral Nervous System Diseases/etiology ; Nerve Tissue Proteins ; Ovarian Neoplasms/complications
Chemical Substances	CDR2 protein, human ; Nerve Tissue Proteins
Language	English
Publishing date	2024-01-24
Publishing country	England
Document type	Case Reports ; Journal Article
ISSN	1757-790X
ISSN (online)	1757-790X
DOI	10.1136/bcr-2023-257435
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Article: Assessment of Patient Satisfaction with Generic Medication in Emerging Economy Using the Treatment Satisfaction Questionnaire for Medication.

Dash, Ajitabh

Journal of patient experience

2021 Volume 8, Page(s) 23743735211060791

Abstract: The purpose of this study was to explore the factors influencing patient satisfaction with generic medication in India using the treatment satisfaction questionnaire for medication (TSQM) scale. This study proposed a set of hypotheses that were tested ... ...

Abstract	The purpose of this study was to explore the factors influencing patient satisfaction with generic medication in India using the treatment satisfaction questionnaire for medication (TSQM) scale. This study proposed a set of hypotheses that were tested using structural equation modeling (SEM). This study was based on primary data collected from 542 sample respondents using the judgmental sampling method. The findings of this study revealed an affirmative relationship of effectiveness and convenience with patient satisfaction with generic medication. The study's findings demonstrated that the TSQM is a psychometrically sound tool with high reliability and construct validity. Path analysis revealed that the effectiveness and convenience of generic medication contributed significantly to patient satisfaction, with standardized coefficients of 0.254 and 0.237, respectively.
Language	English
Publishing date	2021-11-18
Publishing country	United States
Document type	Journal Article
ZDB-ID	2857285-3
ISSN	2374-3743 ; 2374-3735
ISSN (online)	2374-3743
ISSN	2374-3735
DOI	10.1177/23743735211060791
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Article ; Online: Reporting of adverse events related to medical devices: A single-center experience from a tertiary care institute of national importance in India.

Meher, Bikash Ranjan / Dash, Ashish

Indian journal of pharmacology

2023 Volume 55, Issue 2, Page(s) 128–132

Abstract: As frontline health workers, nursing professionals have a crucial role in reporting medical device-associated adverse events (MDAEs). A questionnaire-based study was carried out to evaluate the knowledge, attitude, and practice of senior nursing officers ...

Abstract	As frontline health workers, nursing professionals have a crucial role in reporting medical device-associated adverse events (MDAEs). A questionnaire-based study was carried out to evaluate the knowledge, attitude, and practice of senior nursing officers (SNOs), nursing officers (NOs), and nursing students (NSs) toward MDAE. The response rate of the survey was 84% (n = 134). The mean score of knowledge of SNOs, NOs, and NSs was 2.03 ± 0.92, 1.71 ± 0.96, and 1.52 ± 0.82, respectively (P = 0.9). A large proportion of study participants (97%) considered that the use of medical device could sometimes cause untoward occurrences and detecting and reporting those events will enhance the safety of patients. However, many of them (67%) have not reported it during clinical posting. The participants of this survey possessed limited knowledge of MDAE. However, their attitude toward MDAE was encouraging and a continuous training program may improve their knowledge regarding MDAE and enhance the reporting practice.
MeSH term(s)	Humans ; Tertiary Healthcare ; India ; Health Personnel
Language	English
Publishing date	2023-06-14
Publishing country	India
Document type	Journal Article
ZDB-ID	605829-2
ISSN	1998-3751 ; 0253-7613
ISSN (online)	1998-3751
ISSN	0253-7613
DOI	10.4103/ijp.ijp_495_21
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Article ; Online: Switching global correlations on and off in a many-body quantum state by tuning local entanglement.

Benjamin, Colin / Dash, Aditya

Chaos (Woodbury, N.Y.)

2023 Volume 33, Issue 9

Abstract: A quantum many-body state built on a classical 1D Ising model with locally entangled qubits is considered. This setup can model an infinite player quantum Prisoner's dilemma game with each site representing two entangled players (or qubits). The local ... ...

Abstract	A quantum many-body state built on a classical 1D Ising model with locally entangled qubits is considered. This setup can model an infinite player quantum Prisoner's dilemma game with each site representing two entangled players (or qubits). The local entanglement γ between two qubits placed on a site in the 1D Ising model and classical coupling between adjacent sites of the Ising model have an apposite influence on qubits. It points to a counter-intuitive situation wherein local entanglement at a site can exactly cancel global correlations, signaling an artificial quantum many-body state wherein, by locally tuning the entanglement at a particular site, one can transition from a strongly correlated quantum state to an uncorrelated quantum state and then to a correlated classical state. In other words, we can simulate a state similar to a type II superconducting state via local tuning of entanglement in a 1D Ising chain with entangled qubits.
Language	English
Publishing date	2023-09-18
Publishing country	United States
Document type	Journal Article
ZDB-ID	1472677-4
ISSN	1089-7682 ; 1054-1500
ISSN (online)	1089-7682
ISSN	1054-1500
DOI	10.1063/5.0171825
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Article ; Online: ACDSSNet: Atrous Convolution-based Deep Semantic Segmentation Network for Efficient Detection of Sickle Cell Anemia.

Das, Pradeep Kumar / Dash, Abinash / Meher, Sukadev

IEEE journal of biomedical and health informatics

2024 Volume PP

Abstract: In medical image processing, semantic segmentation plays an important role since, in most applications, it is required to find the exact location of the anomaly. It is tough than the segmentation or classification task since in this task class- ... ...

Abstract	In medical image processing, semantic segmentation plays an important role since, in most applications, it is required to find the exact location of the anomaly. It is tough than the segmentation or classification task since in this task class-belongingness of each pixel is predicted. The presence of noise, and variations of viewpoint, shape, and size of cells make it more challenging. In this work, two novel Atrous Convolution-based Deep Semantic Segmentation Networks: ACDSSNet-I, ACDSSNet-II are proposed for more accurate Sickle Cell Anemia (SCA) detection, which can mitigate these issues. The main contributions are: 1) Improvement of feature extraction performance by employing Atrous convolution-based dense prediction, which yields varying field-view with adaptive resolution; 2) Employment of Atrous spatial pyramid-based pooling resulting in more robust segmentation; 3) Upgrading the segmentation performance by adding an efficient decoder module to finetune the segmentation, particularly at object boundaries; 4) Design of modified DeepLabV3+ architectures (MDA) by introducing computationally efficient MobileNetV2 or ResNet50 as a base classifier; 5) Further performance improvement has been accomplished by hybridizing MDA-1 with MDA-2 by integrating the benefits of MobileNetV2 models and ADAM and SGDM optimizers; 6) Improvement of overall performance by efficiently utilizing the input image's saturation information only to minimize the false positive. Furthermore, the optimal selection of threshold value makes the hybridization of MDA-1 with MDA-2 efficient resulting in more accurate semantic segmentation. The experimental results illustrate the proposed model outperforms others with the best semantic segmentation performances: 98.21% accuracy, 99.00% specificity, and 0.9547 DSC value.
Language	English
Publishing date	2024-02-06
Publishing country	United States
Document type	Journal Article
ZDB-ID	2695320-1
ISSN	2168-2208 ; 2168-2194
ISSN (online)	2168-2208
ISSN	2168-2194
DOI	10.1109/JBHI.2024.3362843
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Article ; Online: Editorial Comment.

Dash, Atreya

The Journal of urology

2019 Volume 202, Issue 4, Page(s) 747

MeSH term(s)	Humans ; Male ; Neoplasms, Germ Cell and Embryonal ; Retrospective Studies ; Testicular Neoplasms ; Treatment Outcome
Language	English
Publishing date	2019-09-06
Publishing country	United States
Document type	Journal Article ; Comment
ZDB-ID	3176-8
ISSN	1527-3792 ; 0022-5347
ISSN (online)	1527-3792
ISSN	0022-5347
DOI	10.1097/01.JU.0000574996.36795.fa
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Zs.MO 331: Show issues

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Article: Review of Satralizumab for Neuromyelitis Optica Spectrum Disorder: A New Biologic Agent Targeting the Interleukin-6 Receptor.

Meher, Bikash R / Mohanty, Rashmi R / Dash, Ashish

Cureus

2024 Volume 16, Issue 2, Page(s) e55100

Abstract: Currently, three monoclonal antibodies (MABs) have received regulatory approval from the federal agency, the United States Food and Drug Administration (USFDA), for the medical management of neuromyelitis optica spectrum disorder (NMOSD). Satralizumab ... ...

Abstract	Currently, three monoclonal antibodies (MABs) have received regulatory approval from the federal agency, the United States Food and Drug Administration (USFDA), for the medical management of neuromyelitis optica spectrum disorder (NMOSD). Satralizumab was the third approved therapy after MABs like eculizumab and inebilizumab for NMOSD, an uncommon but severe enfeebling autoimmune neurological disease. Satralizumab, a humanized monoclonal antibody, exerts its action in NMOSD by acting against cytokine interleukin-6 (IL-6), a foremost mediator in the pathological process of NMOSD. Two pivotal clinical trials carried out in NMOSD patients had established that satralizumab significantly decreased the rate of relapse in patients suffering from NMOSD as opposed to placebo. The trials also demonstrated that satralizumab is relatively safe. Thus, satralizumab provides an efficacious and safe treatment option for this rare, disabling central nervous system (CNS) disease. Our review aimed to elucidate the pharmacological characteristics of satralizumab and illustrate the available evidence regarding its safety and efficacy in patients with NMOSD.
Language	English
Publishing date	2024-02-27
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	2747273-5
ISSN	2168-8184
ISSN	2168-8184
DOI	10.7759/cureus.55100
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Article ; Online: Genome-wide in silico characterization and stress induced expression analysis of BcL-2 associated athanogene (BAG) family in Musa spp.

Dash, Ashutosh / Ghag, Siddhesh B

Scientific reports

2022 Volume 12, Issue 1, Page(s) 625

Abstract: Programmed cell death (PCD) is a genetically controlled process for the selective removal of damaged cells. Though understanding about plant PCD has improved over years, the mechanisms are yet to be fully deciphered. Among the several molecular players ... ...

Abstract	Programmed cell death (PCD) is a genetically controlled process for the selective removal of damaged cells. Though understanding about plant PCD has improved over years, the mechanisms are yet to be fully deciphered. Among the several molecular players of PCD in plants, B cell lymphoma 2 (Bcl-2)-associated athanogene (BAG) family of co-chaperones are evolutionary conserved and regulate cell death, growth and development. In this study, we performed a genome-wide in silico analysis of the MusaBAG gene family in a globally important fruit crop banana. Thirteen MusaBAG genes were identified, out of which MusaBAG1, 7 and 8 genes were found to have multiple copies. MusaBAG genes were distributed on seven out of 11 chromosomes in banana. Except for one paralog of MusaBAG8 all the other 12 proteins have characteristic BAG domain. MusaBAG1, 2 and 4 have an additional ubiquitin-like domain whereas MusaBAG5-8 have a calmodulin binding motif. Most of the MusaBAG proteins were predicted to be localized in the nucleus and mitochondria or chloroplast. The in silico cis-regulatory element analysis suggested regulation associated with photoperiodic control, abiotic and biotic stress. The phylogenetic analysis revealed 2 major clusters. Digital gene expression analysis and quantitative real-time RT-PCR depicted the differential expression pattern of MusaBAG genes under abiotic and biotic stress conditions. Further studies are warranted to uncover the role of each of these proteins in growth, PCD and stress responses so as to explore them as candidate genes for engineering transgenic banana plants with improved agronomic traits.
MeSH term(s)	Phylogeny
Language	English
Publishing date	2022-01-12
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-021-04707-5
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Article: Giant Cell Arteritis Masquerading As Migraine: A Case Report.

Devi, Sujata / Dash, Anil / Purkait, Suvendu / Sahoo, Biswajit

Cureus

2023 Volume 15, Issue 8, Page(s) e44107

Abstract: Giant cell arteritis, or temporal arteritis, is a chronic granulomatous vasculitis that affects large- and medium-sized arteries. An elderly male of 61 years presenting with chronic headaches for the past one year had been misdiagnosed as having migraine ...

Abstract	Giant cell arteritis, or temporal arteritis, is a chronic granulomatous vasculitis that affects large- and medium-sized arteries. An elderly male of 61 years presenting with chronic headaches for the past one year had been misdiagnosed as having migraine because of the similarity in symptoms. General examination revealed the presence of bilateral large, tortuous temporal arteries without any scalp tenderness, diminished arterial pulsations, or skin changes over the dilated arteries. A temporal artery biopsy revealed giant cell arteritis and was treated with steroids. This case report highlights the importance of considering secondary headaches, especially giant cell arteritis, in the differential diagnosis of new-onset headaches or worsening headaches in the elderly.
Language	English
Publishing date	2023-08-25
Publishing country	United States
Document type	Case Reports
ZDB-ID	2747273-5
ISSN	2168-8184
ISSN	2168-8184
DOI	10.7759/cureus.44107
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Article ; Online: Automated Myocardial Infarction Screening Using Morphology-Based Electrocardiogram Biomarkers.

Jahnavi, Dhaladhuli / Dash, Ashutosh / Ghosh, Nirmalya / Patra, Amit

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

2023 Volume 2023, Page(s) 1–4

Abstract: Ischemic heart disease (IHD), a critical and dreadful cardiovascular disease, is a leading cause of death globally. The steady progress of IHD leads to an irreversible condition called myocardial infarction (MI). The detection of MI can be done by ... ...

Abstract	Ischemic heart disease (IHD), a critical and dreadful cardiovascular disease, is a leading cause of death globally. The steady progress of IHD leads to an irreversible condition called myocardial infarction (MI). The detection of MI can be done by observing the altered electrocardiogram (ECG) characteristics. Often, automated ECG analysis is preferred in place of visual inspection to reduce time and ensure reliable detection even when the recording quality is not very good. This paper presents an automated approach to classify recent MI, past MI, and normal sinus rhythm (NSR) classes based on the morphological features of the ECG. In clinical practice, a standard 12-lead ECG setup is typically employed to identify MI. However, acquiring a 12-lead ECG is not always convenient. Hence, in this study, we have explored the possibility of using a minimal number of ECG leads by deriving the augmented limb leads using leads I and II. A well-known and widely used ensemble machine learning tool, the random forest (RF) classifier is trained using features extracted from the derived augmented limb leads and their combinations. An RF classifier built using features extracted from all limb leads has outperformed classifiers built on combinations of them with five-fold cross-validation training accuracy of 97.9 (±0.008) % and testing accuracy of 98 %.Clinical relevance- As high sensitivity is reported in identifying recent MI and past MI classes, the proposed approach is suitable for preventative healthcare applications since it is less likely that subjects with recent or past MI will be misclassified. Due to its low computational complexity, better interpretability, and comparable performance to the state-of-the-art results, the proposed approach can be employed in clinical and cardiac health screening applications. It also has the potential to be employed in remote monitoring with mobile and wearable devices because it is built on features extracted from only lead I and II ECG recordings.
MeSH term(s)	Humans ; Signal Processing, Computer-Assisted ; Algorithms ; Myocardial Infarction/diagnosis ; Electrocardiography ; Heart ; Myocardial Ischemia
Language	English
Publishing date	2023-12-11
Publishing country	United States
Document type	Journal Article
ISSN	2694-0604
ISSN (online)	2694-0604
DOI	10.1109/EMBC40787.2023.10340935
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