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  1. Article: Hepatitis E virus-associated brachial neuritis presenting with orthopnoea as a result of bilateral diaphragmatic weakness.

    Mackrill, Samuel / Chakrabarti, Prithwiraj / Butterworth, Richard / Patil, Veeresh

    British journal of hospital medicine (London, England : 2005)

    2023  Volume 84, Issue 2, Page(s) 1–3

    MeSH term(s) Humans ; Hepatitis E virus/genetics ; Brachial Plexus Neuritis/diagnosis ; Brachial Plexus Neuritis/etiology ; Dyspnea
    Language English
    Publishing date 2023-02-09
    Publishing country England
    Document type Journal Article
    ISSN 1750-8460
    ISSN 1750-8460
    DOI 10.12968/hmed.2022.0280
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Outcome of routine cerebrospinal fluid screening for enterovirus and human parechovirus infection among infants with sepsis-like illness or meningitis in Cornwall, UK.

    Chakrabarti, Prithwiraj / Warren, Chris / Vincent, Laura / Kumar, Yadlapalli

    European journal of pediatrics

    2018  Volume 177, Issue 10, Page(s) 1523–1529

    Abstract: Enteroviruses (EV) and human parechoviruses (HPeV) are known and emerging cause of sepsis-like illnesses in infants; however, testing is not yet routine. We retrospectively evaluated the number of diagnosed EV/HPeV infections in children under the age of ...

    Abstract Enteroviruses (EV) and human parechoviruses (HPeV) are known and emerging cause of sepsis-like illnesses in infants; however, testing is not yet routine. We retrospectively evaluated the number of diagnosed EV/HPeV infections in children under the age of 5 years who presented with sepsis-like illness or meningitis in Cornwall, UK, before and after routine implementation of viral screening of cerebrospinal fluid samples. During the 4-year period prior to routine testing, we identified 20 cases of EV meningitis and no cases of HPeV. In the year after introduction of routine screening, 27 cases of EV and 14 cases of HPeV were identified in 1 year. The majority of EV/HPeV infections occurred among children under 3 months old between May and August. Clinical and laboratory characteristics of EV and HPeV infections were mostly indistinguishable. We found that CSF pleocytosis and biochemistry-based testing strategy could miss 48.1 and 78.5% of EV and HPeV cases, respectively. With routine viral screening, the mean length of hospital stay (3.8 vs 5.9 days, P < 0.001) and antibiotic days (2.8 vs 4.7 days, P < 0.001) were significantly reduced in EV/HPeV-positive cases compared to a similar cohort without any detectable microbial aetiology.
    Conclusion: Routine EV and HPeV testing of CSF samples in children has the potential to reduce length of stay and antibiotic use. What is Known: • EV and HPeV are frequent cause of meningitis and sepsis-like illness among young children. • There is increasing evidence supporting routine EV and HPeV testing of paediatric CSF. What is New: • Outcome of routine EV and HPeV testing in Cornwall, UK. • The value of testing all paediatric CSF without any screening criteria. • A rapid diagnosis of EV/HPeV can significantly reduce length of hospital stay and unnecessary antibiotics.
    MeSH term(s) Anti-Bacterial Agents/administration & dosage ; Cerebrospinal Fluid/virology ; Child, Preschool ; Enterovirus/genetics ; Enterovirus Infections/diagnosis ; Enterovirus Infections/epidemiology ; Female ; Humans ; Infant ; Infant, Newborn ; Length of Stay/statistics & numerical data ; Male ; Mass Screening/methods ; Meningitis, Viral/diagnosis ; Meningitis, Viral/virology ; Parechovirus/genetics ; Picornaviridae Infections/diagnosis ; Picornaviridae Infections/epidemiology ; Polymerase Chain Reaction ; Prevalence ; Retrospective Studies ; Sepsis/diagnosis ; Sepsis/virology ; United Kingdom/epidemiology
    Chemical Substances Anti-Bacterial Agents
    Language English
    Publishing date 2018-07-18
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 194196-3
    ISSN 1432-1076 ; 0340-6199 ; 0943-9676
    ISSN (online) 1432-1076
    ISSN 0340-6199 ; 0943-9676
    DOI 10.1007/s00431-018-3209-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Um IV Zs.75: Show issues Location:
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  3. Article: Campylobacter fetus spondylodiscitis: A case report and review of the literature.

    Olaiya, Daniel / Fok, Rosemary / Chakrabarti, Prithwiraj / Sharma, Himanshu / Greig, James

    IDCases

    2018  Volume 14, Page(s) e00468

    Abstract: Campylobacter are common zoonotic food borne pathogens but infrequent causes of disseminated human infection. ...

    Abstract Campylobacter are common zoonotic food borne pathogens but infrequent causes of disseminated human infection.
    Language English
    Publishing date 2018-11-13
    Publishing country Netherlands
    Document type Journal Article ; Case Reports
    ZDB-ID 2745454-X
    ISSN 2214-2509
    ISSN 2214-2509
    DOI 10.1016/j.idcr.2018.e00468
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Using Machine Learning Algorithms to Develop a Clinical Decision-Making Tool for COVID-19 Inpatients.

    Vepa, Abhinav / Saleem, Amer / Rakhshan, Kambiz / Daneshkhah, Alireza / Sedighi, Tabassom / Shohaimi, Shamarina / Omar, Amr / Salari, Nader / Chatrabgoun, Omid / Dharmaraj, Diana / Sami, Junaid / Parekh, Shital / Ibrahim, Mohamed / Raza, Mohammed / Kapila, Poonam / Chakrabarti, Prithwiraj

    International journal of environmental research and public health

    2021  Volume 18, Issue 12

    Abstract: Background: Within the UK, COVID-19 has contributed towards over 103,000 deaths. Although multiple risk factors for COVID-19 have been identified, using this data to improve clinical care has proven challenging. The main aim of this study is to develop ... ...

    Abstract Background: Within the UK, COVID-19 has contributed towards over 103,000 deaths. Although multiple risk factors for COVID-19 have been identified, using this data to improve clinical care has proven challenging. The main aim of this study is to develop a reliable, multivariable predictive model for COVID-19 in-patient outcomes, thus enabling risk-stratification and earlier clinical decision-making.
    Methods: Anonymised data consisting of 44 independent predictor variables from 355 adults diagnosed with COVID-19, at a UK hospital, was manually extracted from electronic patient records for retrospective, case-control analysis. Primary outcomes included inpatient mortality, required ventilatory support, and duration of inpatient treatment. Pulmonary embolism sequala was the only secondary outcome. After balancing data, key variables were feature selected for each outcome using random forests. Predictive models were then learned and constructed using Bayesian networks.
    Results: The proposed probabilistic models were able to predict, using feature selected risk factors, the probability of the mentioned outcomes. Overall, our findings demonstrate reliable, multivariable, quantitative predictive models for four outcomes, which utilise readily available clinical information for COVID-19 adult inpatients. Further research is required to externally validate our models and demonstrate their utility as risk stratification and clinical decision-making tools.
    MeSH term(s) Adult ; Algorithms ; Bayes Theorem ; COVID-19 ; Clinical Decision-Making ; Humans ; Inpatients ; Machine Learning ; Retrospective Studies ; SARS-CoV-2
    Language English
    Publishing date 2021-06-09
    Publishing country Switzerland
    Document type Journal Article
    ISSN 1660-4601
    ISSN (online) 1660-4601
    DOI 10.3390/ijerph18126228
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Nocardia brain abscess in a diabetic patient.

    Chakrabarti, Prithwiraj / Nandi, Sitansu Sekhar / Todi, Subhash Kumar

    Indian journal of pathology & microbiology

    2008  Volume 51, Issue 1, Page(s) 151–153

    Abstract: Brain abscess due to disseminated nocardia infection is an acute medical emergency among immunocompromised patients. We report a case of rapidly progressive nocardia brain abscess in an apparently healthy diabetic individual. The close similarity of the ... ...

    Abstract Brain abscess due to disseminated nocardia infection is an acute medical emergency among immunocompromised patients. We report a case of rapidly progressive nocardia brain abscess in an apparently healthy diabetic individual. The close similarity of the radiological features with those of malignancy and tuberculosis may delay the diagnosis of central nervous system (CNS) nocardiosis. A high index of suspicion and early intervention like stereotactic brain biopsy remain the cornerstone to increase the chance of positive clinical outcome.
    MeSH term(s) Biopsy ; Brain/diagnostic imaging ; Brain Abscess/microbiology ; Brain Neoplasms/diagnosis ; Diabetes Complications/microbiology ; Diagnosis, Differential ; Humans ; Male ; Middle Aged ; Nocardia/isolation & purification ; Nocardia Infections/diagnosis ; Radiography ; Tuberculoma, Intracranial/diagnosis
    Language English
    Publishing date 2008-03-11
    Publishing country India
    Document type Case Reports ; Journal Article
    ZDB-ID 197621-7
    ISSN 0974-5130 ; 0377-4929
    ISSN (online) 0974-5130
    ISSN 0377-4929
    DOI 10.4103/0377-4929.40432
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 862: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  6. Article ; Online: Predicting mortality, duration of treatment, pulmonary embolism and required ceiling of ventilatory support for COVID-19 inpatients: A Machine-Learning Approach

    Vepa, Abhinav / Saleem, Amer / Rakhshanbabanari, Kambiz / Omar, Amr / Dharmaraj, Diana / Sami, Junaid / Parekh, Shital / Ibrahim, Mohamed / Raza, Mohammed / Kapila, Poonam / Chakrabarti, Prithwiraj / Sedighi, Tabassom / Chatrabgoun, Omid / Daneshkhah, Alireza

    medRxiv

    Abstract: Within the UK, COVID-19 has contributed towards over 103,000 deaths. Multiple risk factors for COVID-19 have been identified including various demographics, co-morbidities, biochemical parameters, and physical assessment findings. However, using this ... ...

    Abstract Within the UK, COVID-19 has contributed towards over 103,000 deaths. Multiple risk factors for COVID-19 have been identified including various demographics, co-morbidities, biochemical parameters, and physical assessment findings. However, using this vast data to improve clinical care has proven challenging. The main aim of this paper is to develop a reliable, multivariable predictive model for COVID-19 in-patient outcomes, to aid risk-stratification and earlier clinical decision-making. Anonymized data regarding 44 independent predictor variables of 355 adults diagnosed with COVID-19, at a UK hospital, was manually extracted from electronic patient records for retrospective, case-controlled analysis. Primary outcomes included inpatient mortality, level of ventilatory support and oxygen therapy required, and duration of inpatient treatment. Secondary pulmonary embolism was the only secondary outcome. After balancing data, key variables were feature selected for each outcome using random forests. Predictive models were created using Bayesian Networks, and cross-validated. The developed Bayesian machine learning models were able to predict, using feature selected risk factors, the probability of inpatient mortality (F1 score 83.7%, PPV 82%, NPV 67.9%); level of ventilatory support required (F1 score varies from 55.8% "High-flow Oxygen level" to 71.5% "ITU-Admission level"); duration of inpatient treatment (varies from 46.7% for greater less than or equal 2 days but<3 days" to 69.8% "less than or equal 1 day"); and risk of pulmonary embolism sequelae (F1 score 85.8%, PPV of 83.7%, and NPV of 80.9% ). Overall, our findings demonstrate reliable, multivariable predictive models for 4 outcomes, that utilize readily available clinical information for COVID-19 adult inpatients. Further research is required to externally validate our models and demonstrate their utility as clinical decision-making tools.
    Keywords covid19
    Language English
    Publishing date 2021-02-20
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2021.02.15.21251752
    Database COVID19

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