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  1. Article ; Online: Letter to the editor regarding article: Estimation of effects of nationwide lockdown for containing coronavirus infection on worsening of glycosylated haemoglobin and increase in diabetes-related complications: A simulation model using multivariate regression analysis (Ghoshal et al.).

    Kumar, Ashish / Arora, Anil / Sharma, Praveen

    Diabetes & metabolic syndrome

    2020  Volume 14, Issue 4, Page(s) 383

    MeSH term(s) Coronavirus Infections ; Diabetes Mellitus ; Glycated Hemoglobin A ; Humans ; Multivariate Analysis ; Regression Analysis
    Chemical Substances Glycated Hemoglobin A
    Keywords covid19
    Language English
    Publishing date 2020-04-21
    Publishing country Netherlands
    Document type Letter ; Comment
    ZDB-ID 2273766-2
    ISSN 1878-0334 ; 1871-4021
    ISSN (online) 1878-0334
    ISSN 1871-4021
    DOI 10.1016/j.dsx.2020.04.027
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Estimation of effects of nationwide lockdown for containing coronavirus infection on worsening of glycosylated haemoglobin and increase in diabetes-related complications: A simulation model using multivariate regression analysis.

    Ghosal, Samit / Sinha, Binayak / Majumder, Milan / Misra, Anoop

    Diabetes & metabolic syndrome

    2020  Volume 14, Issue 4, Page(s) 319–323

    Abstract: ... proportional to the worsening of glycaemic control and diabetes-related complications. Such increase ... in diabetes-related complications will put additional load on overburdened healthcare system, and also increase COVID19 infections ... of the duration of the lockdown on glycaemic control and diabetes-related complications.: Materials and methods ...

    Abstract Introduction: and aims: To prevent the spread of coronavirus disease (COVID19) total lockdown is in place in India from March 24, 2020 for 21 days. In this study, we aim to assess the impact of the duration of the lockdown on glycaemic control and diabetes-related complications.
    Materials and methods: A systematic search was conducted using Cochrane library. A simulation model was created using glycemic data from previous disasters (taken as similar in impact to current lockdown) taking baseline HBA1c and diabetes-related complications data from India-specific database. A multivariate regression analysis was conducted to analyse the relationship between the duration of lockdown and glycaemic targets & diabetes-related complications.
    Results: The predictive model was extremely robust (R2 = 0.99) and predicted outcomes for period of lockdown up to 90 days. The predicted increment in HBA1c from baseline at the end of 30 days and 45 days lockdown was projected as 2.26% & 3.68% respectively. Similarly, the annual predicted percentage increase in complication rates at the end of 30-day lockdown was 2.8% for non-proliferative diabetic retinopathy, 2.9% for proliferative diabetic retinopathy, 1.5% for retinal photocoagulation, 9.3% for microalbuminuria, 14.2% for proteinuria, 2.9% for peripheral neuropathy, 10.5% for lower extremity amputation, 0.9% for myocardial infarction, 0.5% for stroke and 0.5% for infections.
    Conclusion: The duration of lockdown is directly proportional to the worsening of glycaemic control and diabetes-related complications. Such increase in diabetes-related complications will put additional load on overburdened healthcare system, and also increase COVID19 infections in patients with such uncontrolled glycemia.
    MeSH term(s) Betacoronavirus/isolation & purification ; Blood Glucose/metabolism ; COVID-19 ; Computer Simulation ; Coronavirus Infections/complications ; Coronavirus Infections/virology ; Diabetes Complications/etiology ; Diabetes Complications/metabolism ; Diabetes Complications/pathology ; Diabetes Mellitus/metabolism ; Diabetes Mellitus/physiopathology ; Diabetes Mellitus/virology ; Glycated Hemoglobin A/analysis ; Humans ; Meta-Analysis as Topic ; Models, Statistical ; Pandemics ; Pneumonia, Viral/complications ; Pneumonia, Viral/virology ; Regression Analysis ; SARS-CoV-2
    Chemical Substances Blood Glucose ; Glycated Hemoglobin A ; hemoglobin A1c protein, human
    Keywords covid19
    Language English
    Publishing date 2020-04-10
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2273766-2
    ISSN 1878-0334 ; 1871-4021
    ISSN (online) 1878-0334
    ISSN 1871-4021
    DOI 10.1016/j.dsx.2020.03.014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Reply to letter to the editor regarding article: Estimation of effects of nationwide lockdown for containing coronavirus infection on worsening of glycosylated haemoglobin and increase in diabetes-related complications: A simulation model using multivariate regression analysis (Ghosal et al.).

    Ghosal, Samit

    Diabetes & metabolic syndrome

    2020  Volume 14, Issue 4, Page(s) 449

    MeSH term(s) Coronavirus Infections ; Diabetes Mellitus ; Glycated Hemoglobin A ; Humans ; Multivariate Analysis ; Regression Analysis
    Chemical Substances Glycated Hemoglobin A
    Keywords covid19
    Language English
    Publishing date 2020-04-21
    Publishing country Netherlands
    Document type Letter ; Comment
    ZDB-ID 2273766-2
    ISSN 1878-0334 ; 1871-4021
    ISSN (online) 1878-0334
    ISSN 1871-4021
    DOI 10.1016/j.dsx.2020.04.028
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  4. Article: Letter to the editor regarding article: Estimation of effects of nationwide lockdown for containing coronavirus infection on worsening of glycosylated haemoglobin and increase in diabetes-related complications: A simulation model using multivariate regression analysis (Ghoshal et al.)

    Kumar, Ashish / Arora, Anil / Sharma, Praveen

    Diabetes Metab Syndr

    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #32334393
    Database COVID19

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  5. Article: Estimation of effects of nationwide lockdown for containing coronavirus infection on worsening of glycosylated haemoglobin and increase in diabetes-related complications: A simulation model using multivariate regression analysis

    Ghosal, Samit / Sinha, Binayak / Majumder, Milan / Misra, Anoop

    Diabetes Metab Syndr

    Abstract: ... control and diabetes-related complications. Such increase in diabetes-related complications will put ... of the duration of the lockdown on glycaemic control and diabetes-related complications. MATERIALS AND METHODS ... the relationship between the duration of lockdown and glycaemic targets & diabetes-related complications. RESULTS ...

    Abstract INTRODUCTION: and aims: To prevent the spread of coronavirus disease (COVID19) total lockdown is in place in India from March 24, 2020 for 21 days. In this study, we aim to assess the impact of the duration of the lockdown on glycaemic control and diabetes-related complications. MATERIALS AND METHODS: A systematic search was conducted using Cochrane library. A simulation model was created using glycemic data from previous disasters (taken as similar in impact to current lockdown) taking baseline HBA1c and diabetes-related complications data from India-specific database. A multivariate regression analysis was conducted to analyse the relationship between the duration of lockdown and glycaemic targets & diabetes-related complications. RESULTS: The predictive model was extremely robust (R2 = 0.99) and predicted outcomes for period of lockdown up to 90 days. The predicted increment in HBA1c from baseline at the end of 30 days and 45 days lockdown was projected as 2.26% & 3.68% respectively. Similarly, the annual predicted percentage increase in complication rates at the end of 30-day lockdown was 2.8% for non-proliferative diabetic retinopathy, 2.9% for proliferative diabetic retinopathy, 1.5% for retinal photocoagulation, 9.3% for microalbuminuria, 14.2% for proteinuria, 2.9% for peripheral neuropathy, 10.5% for lower extremity amputation, 0.9% for myocardial infarction, 0.5% for stroke and 0.5% for infections. CONCLUSION: The duration of lockdown is directly proportional to the worsening of glycaemic control and diabetes-related complications. Such increase in diabetes-related complications will put additional load on overburdened healthcare system, and also increase COVID19 infections in patients with such uncontrolled glycemia.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #77065
    Database COVID19

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  6. Article: Reply to letter to the editor regarding article: Estimation of effects of nationwide lockdown for containing coronavirus infection on worsening of glycosylated haemoglobin and increase in diabetes-related complications: A simulation model using multivariate regression analysis (Ghosal et al.)

    Ghosal, Samit

    Diabetes Metab Syndr

    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #32371189
    Database COVID19

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  7. Article ; Online: "Reply to Letter to the Editor regarding article: Estimation of effects of nationwide lockdown for containing coronavirus infection on worsening of glycosylated haemoglobin and increase in diabetes-related complications: A simulation model using multivariate regression analysis (Ghoshal et al)"

    Ghosal, Samit

    Diabetes & Metabolic Syndrome: Clinical Research & Reviews

    Keywords covid19
    Publisher Elsevier
    Document type Article ; Online
    DOI 10.1016/j.dsx.2020.04.028
    Database COVID19

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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