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  1. Article: Response to letter to editor, re-predictors of morbidity and in-hospital mortality following procedure-related cardiac tamponade.

    Deshpande, Saurabh / Swatari, Hiroyuki / Chahal, Anwar A / Padmanabhan, Deepak

    Journal of arrhythmia

    2024  Volume 40, Issue 1, Page(s) 200–201

    Abstract: We had included only the patients with cardiac tamponade, excluded those coded for pericardial effusion. The feasibility of comparison of the databases of two regions needs to be evaluated. There are some inherent limitations for the studies carried out ... ...

    Abstract We had included only the patients with cardiac tamponade, excluded those coded for pericardial effusion. The feasibility of comparison of the databases of two regions needs to be evaluated. There are some inherent limitations for the studies carried out from the National In-patient Samples (NIS) database.
    Language English
    Publishing date 2024-01-03
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2696593-8
    ISSN 1883-2148 ; 1880-4276
    ISSN (online) 1883-2148
    ISSN 1880-4276
    DOI 10.1002/joa3.12983
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Ablation index in AF.

    Kella, Danesh / Padmanabhan, Deepak

    Indian pacing and electrophysiology journal

    2021  Volume 21, Issue 6, Page(s) 342–343

    Language English
    Publishing date 2021-11-08
    Publishing country Netherlands
    Document type Editorial
    ZDB-ID 2123606-9
    ISSN 0972-6292
    ISSN 0972-6292
    DOI 10.1016/j.ipej.2021.10.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Non-ischemic cardiomyopathy in the elderly: A shocking conundrum.

    Padmanabhan, Deepak / Asirvatham, Samuel J

    Indian pacing and electrophysiology journal

    2019  Volume 19, Issue 1, Page(s) 1–3

    Language English
    Publishing date 2019-01-04
    Publishing country Netherlands
    Document type Editorial
    ZDB-ID 2123606-9
    ISSN 0972-6292
    ISSN 0972-6292
    DOI 10.1016/j.ipej.2019.01.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: MRI in patients with cardiac implantable electronic devices: A comprehensive review.

    Deshpande, Saurabh / Kella, Danesh / Padmanabhan, Deepak

    Pacing and clinical electrophysiology : PACE

    2021  Volume 44, Issue 2, Page(s) 360–372

    Abstract: Magnetic resonance imaging (MRI) has become a commonly used non-ionizing radiation dependent imaging modality which has an excellent spatial resolution with the capability to provide physiological information. Cardiac implantable electronic devices ( ... ...

    Abstract Magnetic resonance imaging (MRI) has become a commonly used non-ionizing radiation dependent imaging modality which has an excellent spatial resolution with the capability to provide physiological information. Cardiac implantable electronic devices (CIEDs) are used in modern cardiology with a frequency of 1:50 over 75 years of age and nearly one in three people in this population required MRI during their lifetime. Changes in the CIED structure, electronics, and algorithms paired with changes in the protocol design of MRI have created a relatively safe environment for performing MRI in patients with CIED. Despite their documentation in literature and a guideline document from a professional society, significant skepticism exists in doing MRI in patients with CIEDs. We intend to give an overview of interactions between MRI and CIEDs, including the evidence available in this regard and conclude with the suggestion of a protocol for safely carrying out an MRI in patients with CIEDs.
    MeSH term(s) Defibrillators, Implantable ; Humans ; Magnetic Resonance Imaging ; Pacemaker, Artificial
    Language English
    Publishing date 2021-01-09
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 424437-0
    ISSN 1540-8159 ; 0147-8389
    ISSN (online) 1540-8159
    ISSN 0147-8389
    DOI 10.1111/pace.14141
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Predictors of morbidity and in-hospital mortality following procedure-related cardiac tamponade.

    Deshpande, Saurabh / Swatari, Hiroyuki / Ahmed, Raheel / Collins, George / Khanji, Mohammed Y / Somers, Virend K / Chahal, Anwar A / Padmanabhan, Deepak

    Journal of arrhythmia

    2023  Volume 39, Issue 5, Page(s) 790–798

    Abstract: Background: Cardiac tamponade (CT) can be a complication following invasive cardiac procedures. We assessed CT following common cardiac electrophysiology (EP) procedures to facilitate risk prediction of associated morbidity and in-hospital mortality.: ...

    Abstract Background: Cardiac tamponade (CT) can be a complication following invasive cardiac procedures. We assessed CT following common cardiac electrophysiology (EP) procedures to facilitate risk prediction of associated morbidity and in-hospital mortality.
    Methods: Patients who underwent various EP procedures in the cardiac catheterization lab (ablations and device implantations) were identified using the International Classification of Diseases, Ninth and Tenth Edition, Clinical Modification (ICD-9-CM and ICD-10-CM, respectively) from the Nationwide Inpatient Sample (NIS) database. Patient demographics, presence of comorbidities, CT-related events, and in-hospital death were also abstracted from the NIS database.
    Results: The frequency of CT-related events in patients with EP intervention from 2010 to 2017 ranged from 3.4% to 7.0%. In-hospital mortality related to CT-related events was found to be 2.2%. Increasing age was the only predictor of higher mortality in atrial fibrillation (AF) ablation and cardiac resynchronization therapy (CRT) groups (OR [95% CI]: AF ablation = 11.15 [1.70-73.34],
    Conclusions: In the real-world setting, CT-related events in EP procedures were found to be 3.4%-7.0% with in-hospital mortality of 2.2%. Older patients undergoing AF ablation were found to have higher mortality.
    Language English
    Publishing date 2023-08-30
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2696593-8
    ISSN 1883-2148 ; 1880-4276
    ISSN (online) 1883-2148
    ISSN 1880-4276
    DOI 10.1002/joa3.12911
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Machine learning applications on neonatal sepsis treatment: a scoping review.

    O'Sullivan, Colleen / Tsai, Daniel Hsiang-Te / Wu, Ian Chang-Yen / Boselli, Emanuela / Hughes, Carmel / Padmanabhan, Deepak / Hsia, Yingfen

    BMC infectious diseases

    2023  Volume 23, Issue 1, Page(s) 441

    Abstract: Introduction: Neonatal sepsis is a major cause of health loss and mortality worldwide. Without proper treatment, neonatal sepsis can quickly develop into multisystem organ failure. However, the signs of neonatal sepsis are non-specific, and treatment is ...

    Abstract Introduction: Neonatal sepsis is a major cause of health loss and mortality worldwide. Without proper treatment, neonatal sepsis can quickly develop into multisystem organ failure. However, the signs of neonatal sepsis are non-specific, and treatment is labour-intensive and expensive. Moreover, antimicrobial resistance is a significant threat globally, and it has been reported that over 70% of neonatal bloodstream infections are resistant to first-line antibiotic treatment. Machine learning is a potential tool to aid clinicians in diagnosing infections and in determining the most appropriate empiric antibiotic treatment, as has been demonstrated for adult populations. This review aimed to present the application of machine learning on neonatal sepsis treatment.
    Methods: PubMed, Embase, and Scopus were searched for studies published in English focusing on neonatal sepsis, antibiotics, and machine learning.
    Results: There were 18 studies included in this scoping review. Three studies focused on using machine learning in antibiotic treatment for bloodstream infections, one focused on predicting in-hospital mortality associated with neonatal sepsis, and the remaining studies focused on developing machine learning prediction models to diagnose possible sepsis cases. Gestational age, C-reactive protein levels, and white blood cell count were important predictors to diagnose neonatal sepsis. Age, weight, and days from hospital admission to blood sample taken were important to predict antibiotic-resistant infections. The best-performing machine learning models were random forest and neural networks.
    Conclusion: Despite the threat antimicrobial resistance poses, there was a lack of studies focusing on the use of machine learning for aiding empirical antibiotic treatment for neonatal sepsis.
    MeSH term(s) Adult ; Infant, Newborn ; Humans ; Neonatal Sepsis/diagnosis ; Neonatal Sepsis/drug therapy ; Sepsis/diagnosis ; Sepsis/drug therapy ; Anti-Bacterial Agents/therapeutic use ; Gestational Age ; Hydrolases ; Machine Learning
    Chemical Substances Anti-Bacterial Agents ; Hydrolases (EC 3.-)
    Language English
    Publishing date 2023-06-29
    Publishing country England
    Document type Review ; Journal Article
    ZDB-ID 2041550-3
    ISSN 1471-2334 ; 1471-2334
    ISSN (online) 1471-2334
    ISSN 1471-2334
    DOI 10.1186/s12879-023-08409-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Lead Extraction: The Importance of Preparation and Remaining Opportunities.

    Padmanabhan, Deepak / Asirvatham, Samuel J

    Journal of cardiovascular electrophysiology

    2017  Volume 28, Issue 4, Page(s) 474–476

    MeSH term(s) Device Removal ; Equipment Failure ; Lead
    Chemical Substances Lead (2P299V784P)
    Language English
    Publishing date 2017-03-10
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1025989-2
    ISSN 1540-8167 ; 1045-3873
    ISSN (online) 1540-8167
    ISSN 1045-3873
    DOI 10.1111/jce.13173
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Level of block: atrioventricular node, infra-Hisian, or intramyocardial?-Authors' reply.

    Padmanabhan, Deepak / Naksuk, Niyada / Kancharla, Krishna / Mulpuru, Siva

    Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology

    2019  Volume 21, Issue 4, Page(s) 682

    MeSH term(s) Atrioventricular Node ; Bundle of His ; Bundle-Branch Block ; Humans
    Language English
    Publishing date 2019-02-22
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 1449879-0
    ISSN 1532-2092 ; 1099-5129
    ISSN (online) 1532-2092
    ISSN 1099-5129
    DOI 10.1093/europace/euy319
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Friendly Fire--The Bane of Thermal Ablation.

    Padmanabhan, Deepak / Asirvatham, Samuel J

    Pacing and clinical electrophysiology : PACE

    2016  Volume 39, Issue 4, Page(s) 313–315

    MeSH term(s) Ablation Techniques/adverse effects ; Atrial Fibrillation/complications ; Atrial Fibrillation/surgery ; Esophagus/diagnostic imaging ; Esophagus/injuries ; Humans ; Hyperthermia, Induced/adverse effects ; Mediastinum/diagnostic imaging ; Mediastinum/injuries ; Pulmonary Veins/surgery
    Language English
    Publishing date 2016-04
    Publishing country United States
    Document type Editorial
    ZDB-ID 424437-0
    ISSN 1540-8159 ; 0147-8389
    ISSN (online) 1540-8159
    ISSN 0147-8389
    DOI 10.1111/pace.12825
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: A Network Meta-Analysis Comparing Osteoporotic Fracture among Different Direct Oral Anticoagulants and Vitamin K Antagonists in Patients with Atrial Fibrillation.

    Khanra, Dibbendhu / Mukherjee, Anindya / Deshpande, Saurabh / Khan, Hassan / Kathuria, Sanjeev / Kella, Danesh / Padmanabhan, Deepak

    Journal of bone metabolism

    2021  Volume 28, Issue 2, Page(s) 139–150

    Abstract: Background: There are limited studies comparing the risk of osteoporosis and fractures between different direct oral anticoagulants (DOACs) and vitamin K antagonists (VKA) in non-valvular atrial fibrillation (AF). Using a network meta-analysis (NMA), we ...

    Abstract Background: There are limited studies comparing the risk of osteoporosis and fractures between different direct oral anticoagulants (DOACs) and vitamin K antagonists (VKA) in non-valvular atrial fibrillation (AF). Using a network meta-analysis (NMA), we compared osteoporotic fractures among 5 different treatment arms, viz. dabigatran, rivaroxaban, apixaban, edoxaban, and VKA.
    Methods: Ten studies, including 5 randomized control trials and 5 population-based studies, with a total of 321,844 patients (148,751 and 173,093 in the VKA and DOAC group, respectively) with a median follow-up of 2 years, were included. A Bayesian random-effects NMA model comparing fractures among the treatment arms was performed using MetInsight V3. Sensitivity analysis excluded studies with the highest residual deviances from the NMA model.
    Results: The mean age of the patients was 70 years. The meta-analysis favored DOACs over VKA with significantly lower osteoporotic fracture (odds ratio [OR], 0.77; 95% credible interval [CrI], 0.70-0.86). The NMA demonstrated that fractures were significantly lower with apixaban compared with dabigatran (OR, 0.64; 95% CrI, 0.44-0.95); however, fractures were statistically similar between apixaban and rivaroxaban (OR, 0.84; 95% CrI, 0.58-1.24) and dabigatran and rivaroxaban (OR, 1.32; 95% CrI, 0.90-1.87). Based on the Bayesian model of NMA, the probability of osteoporotic fracture was highest with VKA and lowest with apixaban, followed by rivaroxaban, edoxaban, and dabigatran.
    Conclusions: The decision to prescribe anticoagulants in elderly patients with AF should be made not only based on thrombotic and bleeding risks but also on the risk of osteoporotic fracture; these factors should be considered and incorporated in contemporary cardiology practice.
    Language English
    Publishing date 2021-05-31
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2765291-9
    ISSN 2287-7029 ; 2287-6375
    ISSN (online) 2287-7029
    ISSN 2287-6375
    DOI 10.11005/jbm.2021.28.2.139
    Database MEDical Literature Analysis and Retrieval System OnLINE

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