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  1. Book ; Online ; E-Book: Fetal medicine

    Ratha, Chinmayee / Khurana, Ashok

    insights for clinicians

    2022  

    Author's details Chinmayee Ratha and Ashok Khurana
    MeSH term(s) Fetal Diseases ; Perinatology ; Infant, Newborn, Diseases ; Pregnancy Complications ; Obstetrics
    Keywords Obstetrics ; Fetus/Diseases ; Perinatology ; Newborn infants/Diseases ; Pregnancy/Complications
    Subject code 618.32
    Language English
    Dates of publication 2022-2022
    Size 1 online resource (187 pages)
    Publisher Springer
    Publishing place Singapore
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 981-19-6099-2 ; 9789811960987 ; 978-981-19-6099-4 ; 9811960984
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article: From Baby Steps to Giant Leaps: A Surprisingly Short Journey

    Khurana, Ashok

    Journal of Fetal Medicine

    2020  Volume 07, Issue 01, Page(s) 1–2

    Language English
    Publishing date 2020-03-01
    Publisher Thieme Medical and Scientific Publishers Pvt. Ltd.
    Publishing place Stuttgart ; New York
    Document type Article
    ZDB-ID 2806650-9
    ISSN 2348-8859 ; 2348-1153
    ISSN (online) 2348-8859
    ISSN 2348-1153
    DOI 10.1007/s40556-020-00251-w
    Database Thieme publisher's database

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  3. Article: Final Commentary on Anti-M Alloimmunization Following Term Stillbirth: A Case Report and Review of the Literature

    Khurana, Ashok / Khan, Mohd Faisal

    Journal of Fetal Medicine

    2023  Volume 10, Issue 03, Page(s) 139–140

    Language English
    Publishing date 2023-09-01
    Publisher Thieme Medical and Scientific Publishers Pvt. Ltd.
    Publishing place Stuttgart ; New York
    Document type Article
    ZDB-ID 2806650-9
    ISSN 2348-8859 ; 2348-1153
    ISSN (online) 2348-8859
    ISSN 2348-1153
    DOI 10.1055/s-0043-1777800
    Database Thieme publisher's database

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  4. Article: Prognostic value of AKT isoforms in non-small cell lung adenocarcinoma.

    Khurana, Sahil / Singh, Ajay Pal / Kumar, Ashok / Nema, Rajeev

    Journal of biomedical research

    2023  Volume 37, Issue 3, Page(s) 225–228

    Language English
    Publishing date 2023-03-21
    Publishing country China
    Document type Journal Article
    ZDB-ID 2555537-6
    ISSN 1876-4819 ; 1674-8301
    ISSN (online) 1876-4819
    ISSN 1674-8301
    DOI 10.7555/JBR.36.20220138
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Serum levels of interleukin-33, soluble ST2 and IgE in patients with asthma: a case-control study.

    Singh, Himadri / Khurana, Alkesh / Kumar, Ashok / Saluja, Rohit

    The Journal of asthma : official journal of the Association for the Care of Asthma

    2023  Volume 61, Issue 1, Page(s) 48–57

    Abstract: Introduction: Interleukins play a very important role in the pathophysiology of asthma. Interleukin-33 (IL-33) is a partially explored cytokine in asthma. It binds with a specific receptor called suppression of tumorigenicity 2 (ST2). The study aims to ... ...

    Abstract Introduction: Interleukins play a very important role in the pathophysiology of asthma. Interleukin-33 (IL-33) is a partially explored cytokine in asthma. It binds with a specific receptor called suppression of tumorigenicity 2 (ST2). The study aims to evaluate the serum levels of IL-33, sST2 and IgE in asthmatic patients and healthy controls and its further association with the forced expiratory volume in one second (FEV 1%) and absolute eosinophil count.
    Materials and methods: We enrolled 100 asthmatic patients and 57 healthy subjects for the study. We measured serum levels of IgE, IL-33, and sST2. Based on serum IgE levels, patients were divided into allergic and non-allergic groups. Statistical analysis was done by using Graph pad prism software 8.
    Results: We found significantly elevated levels of IL-33 and IgE in asthmatic patients as compared to healthy subjects. However, sST2 levels were significantly lower in asthmatic patients than in healthy subjects. FEV1% values were decreased in uncontrolled asthmatic patients. In addition, serum levels of IL-33 were significantly correlated with the IgE. Furthermore, we found a significant correlation between IL-33 and AEC in allergic asthmatic patients.
    Conclusion: In this study, we reported elevated IL-33 and IgE levels and decreased sST2 levels in asthmatic patients compared to healthy controls. IL-33 and sST2 may act as inflammatory biomarkers for allergic diseases such as asthma.
    MeSH term(s) Humans ; Interleukin-33 ; Asthma ; Interleukin-1 Receptor-Like 1 Protein ; Case-Control Studies ; Immunoglobulin E
    Chemical Substances Interleukin-33 ; Interleukin-1 Receptor-Like 1 Protein ; Immunoglobulin E (37341-29-0)
    Language English
    Publishing date 2023-08-17
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 603816-5
    ISSN 1532-4303 ; 0277-0903
    ISSN (online) 1532-4303
    ISSN 0277-0903
    DOI 10.1080/02770903.2023.2244579
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.B 18: Show issues Location:
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    ab Jg. 2022: Lesesaal (EG)

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  6. Article ; Online: Genome sequence of bubaline herpesvirus-1 associated with pustular vulvovaginitis in Indian water buffalo.

    Yadav, Sarita / Boora, Ashok / Thomas, Prasad / Kaliappan, Abinaya / Verma, Nisha / Devi, Parvina / Dhaka, Nishu / Khurana, Sandip / Kumar, Anil / Balhara, Sunesh / Balhara, Ashok / Lailer, Puran Chand

    Microbiology resource announcements

    2024  Volume 13, Issue 3, Page(s) e0088923

    Abstract: We report here the genome sequence of a bubaline herpesvirus 1 isolated from Indian water buffalo. The bubaline herpesvirus 1 strain S102_1 was isolated in 2021 from a Murrah buffalo heifer with clinical presentation of pustular vulvovaginitis. ...

    Abstract We report here the genome sequence of a bubaline herpesvirus 1 isolated from Indian water buffalo. The bubaline herpesvirus 1 strain S102_1 was isolated in 2021 from a Murrah buffalo heifer with clinical presentation of pustular vulvovaginitis.
    Language English
    Publishing date 2024-02-20
    Publishing country United States
    Document type Journal Article
    ISSN 2576-098X
    ISSN (online) 2576-098X
    DOI 10.1128/mra.00889-23
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Color Doppler evaluation of umbilical arteries in relation to bony landmarks in the fetal pelvis as a clue to the mid-trimester diagnosis of bladder exstrophy: A novel observation.

    Aneja, Kavita / Bhalla, Aradhana Aggarwal / Nanda, Anupam / Khurana, Ashok

    Journal of clinical ultrasound : JCU

    2023  Volume 51, Issue 4, Page(s) 644–651

    Abstract: Color Doppler (CD) is an established diagnostic modality for bladder exstrophy. We present two mid-trimester difficult-to-diagnose cases with no obvious infraumbilical mass bulge, assessed by CD in sagittal and axial pelvic views. The first case was a ... ...

    Abstract Color Doppler (CD) is an established diagnostic modality for bladder exstrophy. We present two mid-trimester difficult-to-diagnose cases with no obvious infraumbilical mass bulge, assessed by CD in sagittal and axial pelvic views. The first case was a classical bladder exstrophy at 19 weeks nestled under the umbilical-cord and the second case was an omphalocele-exstrophy-imperforate-anus-spinal complex at 18 weeks 4 days gestation with exstrophic bladder embedded under the omphalocele. The altered course of umbilical arteries in relation to pelvic bony landmarks seen in these fetuses could be an objective approach to complement mid-trimester diagnosis of bladder exstrophy regardless of mass bulge.
    MeSH term(s) Pregnancy ; Female ; Humans ; Bladder Exstrophy/diagnostic imaging ; Umbilical Arteries/diagnostic imaging ; Hernia, Umbilical/diagnosis ; Abnormalities, Multiple/diagnosis ; Ultrasonography, Prenatal ; Pelvis
    Language English
    Publishing date 2023-03-27
    Publishing country United States
    Document type Case Reports
    ZDB-ID 189393-2
    ISSN 1097-0096 ; 0091-2751
    ISSN (online) 1097-0096
    ISSN 0091-2751
    DOI 10.1002/jcu.23455
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1186: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: Simple CaroTID-VasC score to predict one-year risk of stroke in symptomatic carotid stenosis patients.

    Kumar, Mukesh / Khurana, Dheeraj / Ahuja, Chirag Kamal / Kumar, Ashok / Singh, Baljinder / Mohanty, Manju

    Journal of the neurological sciences

    2023  Volume 446, Page(s) 120578

    Abstract: Background: A subset of extracranial symptomatic carotid stenosis (ESCS) patients may fare well on current optimal medical therapy (OMT), and surgery may be avoided in these patients. Therefore, we aimed to develop and validate a stroke risk prediction ... ...

    Abstract Background: A subset of extracranial symptomatic carotid stenosis (ESCS) patients may fare well on current optimal medical therapy (OMT), and surgery may be avoided in these patients. Therefore, we aimed to develop and validate a stroke risk prediction model to stratify the risk among ESCS patients.
    Methods: Adult ESCS patients who denied revascularization procedures were enrolled prospectively and prescribed OMT. Patients were followed-up for twelve months after assessing the clinical, imaging, and hemodynamics-based risk predictors at baseline. Cox regression analysis was performed on predictors which were significant in univariate analysis. Beta coefficients of significant predictors in Cox regression were used to generate a numeric score. The model was internally validated using bootstrapping.
    Results: A total of 20 (20.2%) out of 99 patients had event recurrence during the follow-up. Transient ischemic attack index event (P = 0.014), diabetes mellitus (P = 0.018), contralateral significant stenosis (P = 0.007), echolucent plaque (P = 0.011), and impaired vasomotor reactivity (P = 0.006) were significant predictors in Cox regression analysis. A points score (0-6) was derived from regression coefficients of the significant predictors. The area under ROC was 0.884 for the developed model and 0.832 for the bootstrapped model. Youden's index divided the score into low-risk (2.2%) and high-risk (35.8%) groups, and the difference in risk was significant (P < 0.001).
    Conclusions: Most ESCS patients benefited from OMT, and the CaroTID-VasC score was effective in stratifying patients for risk of endpoint occurrence. The developed model may help identify high-risk subgroups of ESCS patients and assist the decision-making of carotid interventions.
    MeSH term(s) Adult ; Humans ; Carotid Stenosis/surgery ; Stroke/epidemiology ; Carotid Arteries/surgery ; Ischemic Attack, Transient/etiology ; Risk ; Risk Factors ; Endarterectomy, Carotid/adverse effects
    Language English
    Publishing date 2023-01-31
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 80160-4
    ISSN 1878-5883 ; 0022-510X ; 0374-8642
    ISSN (online) 1878-5883
    ISSN 0022-510X ; 0374-8642
    DOI 10.1016/j.jns.2023.120578
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 308: Show issues Location:
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  9. Article ; Online: Incidentally detected steroid cell tumour presenting with abnormal uterine bleeding: a rare case report with review of literature.

    Yadav, Priyanka / Kaur, Navpreet / Mandal, Shramana / Khurana, Nita / Kumar, Ashok

    Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology

    2021  Volume 42, Issue 5, Page(s) 1583–1585

    MeSH term(s) Female ; Humans ; Neoplasms ; Steroids ; Uterine Diseases/complications ; Uterine Hemorrhage/etiology
    Chemical Substances Steroids
    Language English
    Publishing date 2021-12-17
    Publishing country England
    Document type Case Reports ; Journal Article ; Review
    ZDB-ID 604639-3
    ISSN 1364-6893 ; 0144-3615
    ISSN (online) 1364-6893
    ISSN 0144-3615
    DOI 10.1080/01443615.2021.1983779
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.B 2461: Show issues Location:
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  10. Article ; Online: Impact of Analytics Applying Artificial Intelligence and Machine Learning on Enhancing Intensive Care Unit

    Gopal Singh Charan / Ashok Singh Charan / Mandeep Singh Khurana / Gursharn Singh Narang

    Galician Medical Journal, Vol 30, Iss

    A Narrative Review

    2023  Volume 4

    Abstract: Introduction. The intensive care unit (ICU) plays a pivotal role in providing specialized care to patients with severe illnesses or injuries. As a critical aspect of healthcare, ICU admissions demand immediate attention and skilled care from healthcare ... ...

    Abstract Introduction. The intensive care unit (ICU) plays a pivotal role in providing specialized care to patients with severe illnesses or injuries. As a critical aspect of healthcare, ICU admissions demand immediate attention and skilled care from healthcare professionals. However, the intricacies involved in this process necessitate analytical solutions to ensure effective management and optimal patient outcomes. Aim. The aim of this review was to highlight the enhancement of the ICUs through the application of analytics, artificial intelligence, and machine learning. Methods. The review approach was carried out through databases such as MEDLINE, Embase, Web of Science, Scopus, Taylor & Francis, Sage, ProQuest, Science Direct, CINAHL, and Google Scholar. These databases were chosen due to their potential to offer pertinent and comprehensive coverage of the topic while reducing the likelihood of overlooking certain publications. The studies for this review involved the period from 2016 to 2023. Results. Artificial intelligence and machine learning have been instrumental in benchmarking and identifying effective practices to enhance ICU care. These advanced technologies have demonstrated significant improvements in various aspects. Conclusions. Artificial intelligence, machine learning, and data analysis techniques significantly improved critical care, patient outcomes, and healthcare delivery.
    Keywords artificial intelligence ; machine learning ; resource allocation ; icu admission ; clinical decision processes ; analytics ; Medicine ; R
    Subject code 401
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher Ivano-Frankivsk National Medical University
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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