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  1. Article ; Online: Recognizing and Managing a Metabolic Crisis.

    Baker, Peter R

    Pediatric clinics of North America

    2023  Volume 70, Issue 5, Page(s) 979–993

    Abstract: In some relatively common inborn errors of metabolism there can be the accumulation of toxic compounds including ammonia and organic acids such as lactate and ketoacids, as well as energy deficits at the cellular level. The clinical presentation is often ...

    Abstract In some relatively common inborn errors of metabolism there can be the accumulation of toxic compounds including ammonia and organic acids such as lactate and ketoacids, as well as energy deficits at the cellular level. The clinical presentation is often referred to as a metabolic emergency or crisis. Fasting and illness can result in encephalopathy within hours, and without appropriate recognition and intervention, the outcome may be permanent disability or death. This review outlines easy and readily available means of recognizing and diagnosing a metabolic emergency as well as general guidelines for management. Disease-specific interventions focus on parenteral nutrition to reverse catabolism, toxin removal strategies, and vitamin/nutrition supplementation.
    MeSH term(s) Humans ; Nutritional Status ; Ammonia ; Keto Acids ; Lactic Acid
    Chemical Substances Ammonia (7664-41-7) ; Keto Acids ; Lactic Acid (33X04XA5AT)
    Language English
    Publishing date 2023-07-06
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 215711-1
    ISSN 1557-8240 ; 0031-3955
    ISSN (online) 1557-8240
    ISSN 0031-3955
    DOI 10.1016/j.pcl.2023.05.009
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  2. Article: Focusing on men's health: it's time for a national strategy.

    Baker, Peter

    British journal of nursing (Mark Allen Publishing)

    2022  Volume 31, Issue 1, Page(s) 50–51

    MeSH term(s) Health Promotion ; Humans ; Male ; Men's Health
    Language English
    Publishing date 2022-01-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 1119191-0
    ISSN 0966-0461
    ISSN 0966-0461
    DOI 10.12968/bjon.2022.31.1.50
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    Zs.A 3449: Show issues Location:
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  3. Article: Improving men's health: successful initiatives and barriers to progress.

    Baker, Peter

    British journal of nursing (Mark Allen Publishing)

    2019  Volume 28, Issue 11, Page(s) 721–722

    Abstract: ... Peter ... ...

    Abstract Peter Baker
    MeSH term(s) Health Promotion ; Health Services Accessibility ; Humans ; Male ; Men's Health/statistics & numerical data ; United Kingdom
    Language English
    Publishing date 2019-06-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 1119191-0
    ISSN 0966-0461
    ISSN 0966-0461
    DOI 10.12968/bjon.2019.28.11.721
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  4. Article ; Online: Evaluation of a Pilot: Inspection Facilitation and Collaboration Using a Mixed Reality Device.

    Baker, Peter / Cathey, Tamika / Auclair, Jared R

    Therapeutic innovation & regulatory science

    2023  Volume 58, Issue 1, Page(s) 11–15

    Abstract: The COVID-19 pandemic forced industry and national regulatory authorities (NRAs) to think about innovative ways to ensure business continuity, including Good Manufacturing Practices (GMP) inspections. Even prior to COVID-19, it was understood that GMP ... ...

    Abstract The COVID-19 pandemic forced industry and national regulatory authorities (NRAs) to think about innovative ways to ensure business continuity, including Good Manufacturing Practices (GMP) inspections. Even prior to COVID-19, it was understood that GMP site inspections, especially redundant inspections, are a time and resource-intensive process for both industry and regulators in high-income countries and often prohibitive to resource-challenged countries. Thus, we investigated the use of a mixed reality device and Microsoft (MS) Teams as a platform for mixed reality (hybrid) remote inspection. This pilot involved a mock GMP inspection of a drug manufacturing facility in the United States. The mock inspection was conducted by two former USFDA (US Food and Drug Administration) investigators, facilitated by representatives from Northeastern University along with The Bill and Melinda Gates Foundation. Also participating in the inspection were inspectors from national regulatory agencies (NRAs) from the African continent, including Nigeria, South Africa, Uganda, and Zimbabwe, and representatives from the Pre-Qualification Inspection Unit at the World Health Organization (WHO). Harmonized inspectional guidance from PIC/s (GMP Guide) and WHO (TRS 823) were used as the standards for conducting the mock inspection. We found that mixed reality, used in conjunction with a collaborative text messaging system, is a viable tool to facilitate remote inspections and allows inspectors participating remotely to write their own independent inspection reports.
    MeSH term(s) Humans ; United States ; Drug Industry ; Augmented Reality ; Pandemics ; Pharmaceutical Preparations ; Reference Standards
    Chemical Substances Pharmaceutical Preparations
    Language English
    Publishing date 2023-11-22
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2708397-4
    ISSN 2168-4804 ; 2168-4790
    ISSN (online) 2168-4804
    ISSN 2168-4790
    DOI 10.1007/s43441-023-00594-2
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  5. Book ; Online: Climate change and agricultural commodities

    Masters, Greg / Baker, Peter / Flood, Julie

    (CABI working paper ; 2)

    2010  

    Author's details authors: Greg Masters, Peter Baker, Julie Flood
    Series title CABI working paper ; 2
    Collection
    Language English
    Size 1 Online-Ressource (38 Seiten), Diagramme, Karten
    Publisher CABI
    Publishing place Wallingford, Oxfordshire, UK
    Publishing country Great Britain
    Document type Book ; Online
    HBZ-ID HT020615153
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  6. Article ; Online: Identifying the predictors of Covid-19 infection outcomes and development of prediction models.

    Ansari, Rashid M / Baker, Peter

    Journal of infection and public health

    2021  Volume 14, Issue 6, Page(s) 751–756

    Abstract: Background: The infection of Corona Virus Disease (Covid-19) is challenging health problems worldwide. COVID-19 pandemic is spreading all over the world with the number of infected cases increased to 54.4 million with 1.32 million deaths. Different ... ...

    Abstract Background: The infection of Corona Virus Disease (Covid-19) is challenging health problems worldwide. COVID-19 pandemic is spreading all over the world with the number of infected cases increased to 54.4 million with 1.32 million deaths. Different types of statistical models have been developed to predict viral infection and multiple studies have compared the performance of these predictive models, but results were not consistent. This study aimed to develop and provide easy to use model to predict the Covid-19 infection severity in the patients and to help understanding the patient's condition.
    Methods: This study analyzed simulated data obtained from the large database for 340 patients with an active Covid-19 infection. The study identified predictors of Covid-19 outcomes that may be measured in two different ways: the total T-cell levels in the blood with T-cell subsets and number of cells in the blood infected with virus. All measures are relatively unobtrusive as they only require a blood sample, however there is a significant laboratory cost implications for measuring the number of cells infected with virus. This study used methodological approach using two different methods showing how multiple regression and logistic regression can be used in the context of Covid-19 longitudinal data to develop the prediction models.
    Results: This study has identified the predictors of Covid-19 infection outcomes and developed prediction models. In the regression model of Total_T Cell, the predictors BMI, comorbidity and Total_Tcell were all associated with increased levels of infection severity (p < 0.001). For BMI, the mean % of unhealthy cells increased by 0.42 (95% CI 0.24 to 0.60) and comorbidity predictor has on average 8.3% more unhealthy liver cells than without comorbidity (95% CI - 2.9%-1.29%). The results of multivariate logistic regression model predicting the Covid-19 Infection severity were promising. The significant predictors were observed such as Age (OR 0.95, p = 0.02, 95% CI: 0.91-0.99), Helper T_cells (OR O.93, p = 0.03, 95% CI: 0.87-0.99), Basic_Tcell (OR 1.11, p = 0.001, 95% CI: 1.06-1.71) and Comorbidity (OR 0.41, p = 0.05, 95% CI: 0.16-1.07).
    Conclusions: In this study recommendation has been provided to clinical researchers on the best way to use the various Covid-19 infections measures along with identifying other possible predictors of Covid-19 infection. It is imperative to monitor closely the T-cell subsets using prediction models that might provide valuable information about the patient's condition during the treatment process.
    MeSH term(s) COVID-19 ; Comorbidity ; Humans ; Pandemics ; SARS-CoV-2 ; Severity of Illness Index
    Language English
    Publishing date 2021-03-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 2467587-8
    ISSN 1876-035X ; 1876-0341
    ISSN (online) 1876-035X
    ISSN 1876-0341
    DOI 10.1016/j.jiph.2021.03.006
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  7. Article ; Online: Jabs for the boys: the case for gender-neutral HPV vaccination.

    Baker, Peter

    Perspectives in public health

    2016  Volume 136, Issue 1, Page(s) 28–29

    MeSH term(s) Adolescent ; Child ; Female ; Health Policy ; Humans ; Immunization Programs/organization & administration ; Male ; Papillomavirus Infections/prevention & control ; Papillomavirus Vaccines/administration & dosage ; United Kingdom
    Chemical Substances Papillomavirus Vaccines
    Language English
    Publishing date 2016-01
    Publishing country United States
    Document type News
    ZDB-ID 2478358-4
    ISSN 1757-9147 ; 1757-9139
    ISSN (online) 1757-9147
    ISSN 1757-9139
    DOI 10.1177/1757913915616729
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    Zs.B 423: Show issues Location:
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  8. Article: Men's health: an overlooked inequality.

    Baker, Peter

    British journal of nursing (Mark Allen Publishing)

    2016  Volume 25, Issue 19, Page(s) 1054–1057

    Abstract: Men's health outcomes are problematic globally, regionally and nationally. Male life expectancy was 3.6 years shorter than female life expectancy in the UK in 2015. Men take more risks with their health and are less likely than women to be aware of ... ...

    Abstract Men's health outcomes are problematic globally, regionally and nationally. Male life expectancy was 3.6 years shorter than female life expectancy in the UK in 2015. Men take more risks with their health and are less likely than women to be aware of disease symptoms. They use primary care services less frequently than women, with likely impacts on health outcomes, especially for mental health, although there is evidence that for some conditions men may seek help just as quickly as women. Men's health initiatives have increased and there is growing evidence that 'gender-sensitive' interventions aimed at men can be effective. However, a strategic response, locally or nationally, to men's health problems in the UK has been absent. A number of actions, including by nurses, could make a difference. A national men's health policy, extended open hours in primary care, more outreach work and professional training, are among the measures suggested.
    MeSH term(s) Female ; Health Policy ; Health Promotion ; Health Services/utilization ; Health Status Disparities ; Healthcare Disparities ; Humans ; Life Expectancy ; Male ; Men's Health ; Primary Health Care ; United Kingdom
    Language English
    Publishing date 2016-10-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 1119191-0
    ISSN 0966-0461
    ISSN 0966-0461
    DOI 10.12968/bjon.2016.25.19.1054
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  9. Article ; Online: Measuring progress in institutionalising evidence-informed priority-setting in the Indian healthcare system: an application using the iProSE scale.

    Gheorghe, Adrian / Mehndiratta, Abha / Baker, Peter / Gulliver, Sophie / Singh, Malkeet / Tyagi, Kirti / Guzman, Javier

    BMJ evidence-based medicine

    2024  

    Language English
    Publishing date 2024-03-08
    Publishing country England
    Document type Journal Article
    ISSN 2515-4478
    ISSN (online) 2515-4478
    DOI 10.1136/bmjebm-2023-112485
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  10. Article ; Online: Health policies must consider gender, including men.

    Baker, Peter / Leon, Natalie / Colvin, Christopher J / Griffith, Derek M

    The Lancet. Global health

    2023  Volume 11, Issue 12, Page(s) e1847–e1848

    MeSH term(s) Male ; Humans ; Health Policy ; Gender Identity ; Sex Factors
    Language English
    Publishing date 2023-09-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 2723488-5
    ISSN 2214-109X ; 2214-109X
    ISSN (online) 2214-109X
    ISSN 2214-109X
    DOI 10.1016/S2214-109X(23)00428-X
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