Importance of hyperglycemia in preoperative, intraoperative and postoperative periods in COVID-19 patients

Farahani, Farhad; Mirzaei, Fatemeh; Khodadadi, Iraj; Abbasi-Oshaghi, Ebrahim

doi:10.1016/j.ijsu.2020.08.048

Cited by 16 publications

(21 citation statements)

References 4 publications

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“…A recent Italian study showed glucose upon admission as a predictor of disease severity and prognosis; however, admission glucose mainly appears to reflect the inflammatory response, rather than the quality of pre‐COVID‐19 glycaemic control 14 . While other studies have examined recommendations for glucose lowering at home, in the hospital setting or around surgery, our data do not cover this important aspect 15,16 …”

Section: Discussionmentioning

confidence: 70%

COVID‐19 fatality prediction in people with diabetes and prediabetes using a simple score upon hospital admission

Sourij

Aziz

Bräuer

et al. 2020

Diabetes Obesity Metabolism

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Aim To assess predictors of in‐hospital mortality in people with prediabetes and diabetes hospitalized for COVID‐19 infection and to develop a risk score for identifying those at the greatest risk of a fatal outcome. Materials and Methods A combined prospective and retrospective, multicentre, cohort study was conducted at 10 sites in Austria in 247 people with diabetes or newly diagnosed prediabetes who were hospitalized with COVID‐19. The primary outcome was in‐hospital mortality and the predictor variables upon admission included clinical data, co‐morbidities of diabetes or laboratory data. Logistic regression analyses were performed to identify significant predictors and to develop a risk score for in‐hospital mortality. Results The mean age of people hospitalized (n = 238) for COVID‐19 was 71.1 ± 12.9 years, 63.6% were males, 75.6% had type 2 diabetes, 4.6% had type 1 diabetes and 19.8% had prediabetes. The mean duration of hospital stay was 18 ± 16 days, 23.9% required ventilation therapy and 24.4% died in the hospital. The mortality rate in people with diabetes was numerically higher (26.7%) compared with those with prediabetes (14.9%) but without statistical significance ( P = .128). A score including age, arterial occlusive disease, C‐reactive protein, estimated glomerular filtration rate and aspartate aminotransferase levels at admission predicted in‐hospital mortality with a C‐statistic of 0.889 (95% CI: 0.837‐0.941) and calibration of 1.000 ( P = .909). Conclusions The in‐hospital mortality for COVID‐19 was high in people with diabetes but not significantly different to the risk in people with prediabetes. A risk score using five routinely available patient variables showed excellent predictive performance for assessing in‐hospital mortality.

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Section: Discussionmentioning

confidence: 70%

COVID‐19 fatality prediction in people with diabetes and prediabetes using a simple score upon hospital admission

Sourij

Aziz

Bräuer

et al. 2020

Diabetes Obesity Metabolism

View full text Add to dashboard Cite

show abstract

“…While other publications deal with recommendations for glucose lowering at home, in the hospital setting or around surgery, our data do not look into this important aspect. 15,16…”

Section: Discussionmentioning

confidence: 99%

Covid-19 fatality prediction in people with diabetes and prediabetes using a simple score at hospital admission

Sourij

Aziz

Bräuer

et al. 2020

Preprint

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AIM We assessed predictors of inhospital mortality in people with prediabetes and diabetes hospitalized for COVID19 infection and developed a risk score for identifying those at the highest risk of a fatal outcome. MATERIALS AND METHODS A combined prospective and retrospective multicenter cohort study was conducted in 10 sites in Austria on 247 people with diabetes or newly diagnosed prediabetes, who were hospitalised for COVID19. The primary outcome was inhospital mortality and predictor variables at the time of admission included clinical data, comorbidities of diabetes or laboratory data. Logistic regression analyses were performed to identify significant predictors and develop a risk score for inhospital mortality. RESULTS The mean age of people hospitalized (n=238) for COVID−19 was 71.1±12.9 years, 63.6% were males, 75.6% had type 2 diabetes, 4.6% had type 1 diabetes, and 19.8% had prediabetes. The mean duration of hospital stay was 18±16 days, 23.9% required ventilation therapy, and 24.4% died in the hospital. Mortality rate in people with diabetes was numerically higher (26.7%) as compared to those with prediabetes (14.9%) but without statistical significance (p=0.128). A score including age, arterial occlusive disease, CRP, eGFR and AST levels at admission predicted inhospital mortality with a Cstatistics of 0.889 (95%CI: 0.837−0.941) and calibration of 1.000 (p=0.909). CONCLUSIONS The inhospital mortality for COVID−19 was high in people with diabetes and not significantly different to the risk in people with prediabetes. A risk score using five routinely available patient parameters demonstrated excellent predictive performance for assessing inhospital mortality.

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“…Pneumonia is the main reason for admission to the ICU in COVID-19 subjects. Interestingly, it has been reported that even many years after pneumonia, there is a relationship between the disease, hyperglycemia, and elevated mortality risk [ 9 , 10 ]. Therefore, a better understanding of the mechanism and outcome of bed rest in COVID-19 patients, especially with regard to prevalence and fatality rate, is necessary.…”

Section: Possible Adverse Effect Of Bed Rest In Covid-19 Patientsmentioning

confidence: 99%

Importance of hyperglycemia in COVID-19 intensive-care patients: Mechanism and treatment strategy

Mirzaei

Khodadadi

Vafaei

et al. 2021

Primary Care Diabetes

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Importance of hyperglycemia in preoperative, intraoperative and postoperative periods in COVID-19 patients

Cited by 16 publications

References 4 publications

COVID‐19 fatality prediction in people with diabetes and prediabetes using a simple score upon hospital admission

COVID‐19 fatality prediction in people with diabetes and prediabetes using a simple score upon hospital admission

Covid-19 fatality prediction in people with diabetes and prediabetes using a simple score at hospital admission

Importance of hyperglycemia in COVID-19 intensive-care patients: Mechanism and treatment strategy

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