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suck abstract from ncbi


10.1002/dmrr.3398

http://scihub22266oqcxt.onion/10.1002/dmrr.3398
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32852883!7460936!32852883
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suck abstract from ncbi

pmid32852883      Diabetes+Metab+Res+Rev 2021 ; 37 (5): e3398
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  • Haemoglobin A1c is a predictor of COVID-19 severity in patients with diabetes #MMPMID32852883
  • Merzon E; Green I; Shpigelman M; Vinker S; Raz I; Golan-Cohen A; Eldor R
  • Diabetes Metab Res Rev 2021[Jul]; 37 (5): e3398 PMID32852883show ga
  • AIM: Poor outcomes of coronavirus disease 2019 (COVID-19) have been linked to diabetes, but its relation to pre-infection glycaemic control is still unclear. MATERIALS AND METHODS: To address this question, we report here the association between pre-infection Haemoglobin A1c (HbA1c) levels and COVID-19 severity as assessed by need for hospitalization in a cohort of 2068 patients with diabetes tested for COVID-19 in Leumit Health Services (LHSs), Israel, between 1 February and 30 April 2020. Using the LHS-integrated electronic medical records system, we were able to collect a large amount of clinical information including age, sex, socio-economic status, weight, height, body mass index, HbA1c, prior diagnosis of ischaemic heart disease, depression/anxiety, schizophrenia, dementia, hypertension, cerebrovascular accident, congestive heart failure, smoking, and chronic lung disease. RESULTS: Of the patients included in the cohort, 183 (8.85%) were diagnosed with COVID-19 and 46 were admitted to hospital. More hospitalized patients were female, came from higher socio-economic background and had a higher baseline HbA1c. A prior diagnosis of cerebrovascular accident and chronic lung disease conferred an increased risk of hospitalization but not obesity or smoking status. In a multivariate analysis, controlling for multiple prior clinical conditions, the only parameter associated with a significantly increased risk for hospitalization was HbA1c >/= 9%. CONCLUSION: Using pre-infection glycaemic control data, we identify HbA1c as a clear predictor of COVID-19 severity. Pre-infection risk stratification is crucial to successfully manage this disease, efficiently allocate resources, and minimize the economic and social burden associated with an undiscriminating approach.
  • |*Severity of Illness Index[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Biomarkers/*blood[MESH]
  • |COVID-19/blood/epidemiology/*pathology/virology[MESH]
  • |Child[MESH]
  • |Diabetes Mellitus, Type 2/*physiopathology[MESH]
  • |Female[MESH]
  • |Follow-Up Studies[MESH]
  • |Glycated Hemoglobin/*analysis[MESH]
  • |Hospitalization[MESH]
  • |Humans[MESH]
  • |Israel/epidemiology[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Prognosis[MESH]
  • |Retrospective Studies[MESH]
  • |Risk Factors[MESH]
  • |SARS-CoV-2/*isolation & purification[MESH]


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