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      Elevation of blood glucose level predicts worse outcomes in hospitalized patients with COVID-19: a retrospective cohort study

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          Abstract

          Introduction

          With intense deficiency of medical resources during COVID-19 pandemic, risk stratification is of strategic importance. Blood glucose level is an important risk factor for the prognosis of infection and critically ill patients. We aimed to investigate the prognostic value of blood glucose level in patients with COVID-19.

          Research design and methods

          We collected clinical and survival information of 2041 consecutive hospitalized patients with COVID-19 from two medical centers in Wuhan. Patients without available blood glucose level were excluded. We performed multivariable Cox regression to calculate HRs of blood glucose-associated indexes for the risk of progression to critical cases/mortality among non-critical cases, as well as in-hospital mortality in critical cases. Sensitivity analysis were conducted in patient without diabetes.

          Results

          Elevation of admission blood glucose level was an independent risk factor for progression to critical cases/death among non-critical cases (HR=1.30, 95% CI 1.03 to 1.63, p=0.026). Elevation of initial blood glucose level of critical diagnosis was an independent risk factor for in-hospital mortality in critical cases (HR=1.84, 95% CI 1.14 to 2.98, p=0.013). Higher median glucose level during hospital stay or after critical diagnosis (≥6.1 mmol/L) was independently associated with increased risks of progression to critical cases/death among non-critical cases, as well as in-hospital mortality in critical cases. Above results were consistent in the sensitivity analysis in patients without diabetes.

          Conclusions

          Elevation of blood glucose level predicted worse outcomes in hospitalized patients with COVID-19. Our findings may provide a simple and practical way to risk stratify COVID-19 inpatients for hierarchical management, particularly where medical resources are in severe shortage during the pandemic.

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          Most cited references9

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          Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China

          In December 2019, novel coronavirus (2019-nCoV)-infected pneumonia (NCIP) occurred in Wuhan, China. The number of cases has increased rapidly but information on the clinical characteristics of affected patients is limited.
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            Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study

            Summary Background In December, 2019, a pneumonia associated with the 2019 novel coronavirus (2019-nCoV) emerged in Wuhan, China. We aimed to further clarify the epidemiological and clinical characteristics of 2019-nCoV pneumonia. Methods In this retrospective, single-centre study, we included all confirmed cases of 2019-nCoV in Wuhan Jinyintan Hospital from Jan 1 to Jan 20, 2020. Cases were confirmed by real-time RT-PCR and were analysed for epidemiological, demographic, clinical, and radiological features and laboratory data. Outcomes were followed up until Jan 25, 2020. Findings Of the 99 patients with 2019-nCoV pneumonia, 49 (49%) had a history of exposure to the Huanan seafood market. The average age of the patients was 55·5 years (SD 13·1), including 67 men and 32 women. 2019-nCoV was detected in all patients by real-time RT-PCR. 50 (51%) patients had chronic diseases. Patients had clinical manifestations of fever (82 [83%] patients), cough (81 [82%] patients), shortness of breath (31 [31%] patients), muscle ache (11 [11%] patients), confusion (nine [9%] patients), headache (eight [8%] patients), sore throat (five [5%] patients), rhinorrhoea (four [4%] patients), chest pain (two [2%] patients), diarrhoea (two [2%] patients), and nausea and vomiting (one [1%] patient). According to imaging examination, 74 (75%) patients showed bilateral pneumonia, 14 (14%) patients showed multiple mottling and ground-glass opacity, and one (1%) patient had pneumothorax. 17 (17%) patients developed acute respiratory distress syndrome and, among them, 11 (11%) patients worsened in a short period of time and died of multiple organ failure. Interpretation The 2019-nCoV infection was of clustering onset, is more likely to affect older males with comorbidities, and can result in severe and even fatal respiratory diseases such as acute respiratory distress syndrome. In general, characteristics of patients who died were in line with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia. Further investigation is needed to explore the applicability of the MuLBSTA score in predicting the risk of mortality in 2019-nCoV infection. Funding National Key R&D Program of China.
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              Comorbidity and its impact on 1590 patients with Covid-19 in China: A Nationwide Analysis

              Background The coronavirus disease 2019 (Covid-19) outbreak is evolving rapidly worldwide. Objective To evaluate the risk of serious adverse outcomes in patients with coronavirus disease 2019 (Covid-19) by stratifying the comorbidity status. Methods We analysed the data from 1590 laboratory-confirmed hospitalised patients 575 hospitals in 31 province/autonomous regions/provincial municipalities across mainland China between December 11th, 2019 and January 31st, 2020. We analyse the composite endpoints, which consisted of admission to intensive care unit, or invasive ventilation, or death. The risk of reaching to the composite endpoints was compared according to the presence and number of comorbidities. Results The mean age was 48.9 years. 686 patients (42.7%) were females. Severe cases accounted for 16.0% of the study population. 131 (8.2%) patients reached to the composite endpoints. 399 (25.1%) reported having at least one comorbidity. The most prevalent comorbidity was hypertension (16.9%), followed by diabetes (8.2%). 130 (8.2%) patients reported having two or more comorbidities. After adjusting for age and smoking status, COPD [hazards ratio (HR) 2.681, 95% confidence interval (95%CI) 1.424–5.048], diabetes (HR 1.59, 95%CI 1.03–2.45), hypertension (HR 1.58, 95%CI 1.07–2.32) and malignancy (HR 3.50, 95%CI 1.60–7.64) were risk factors of reaching to the composite endpoints. The HR was 1.79 (95%CI 1.16–2.77) among patients with at least one comorbidity and 2.59 (95%CI 1.61–4.17) among patients with two or more comorbidities. Conclusion Among laboratory-confirmed cases of Covid-19, patients with any comorbidity yielded poorer clinical outcomes than those without. A greater number of comorbidities also correlated with poorer clinical outcomes.
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                Author and article information

                Journal
                BMJ Open Diabetes Res Care
                BMJ Open Diabetes Res Care
                bmjdrc
                bmjdrc
                BMJ Open Diabetes Research & Care
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2052-4897
                2020
                4 June 2020
                : 8
                : 1
                : e001476
                Affiliations
                [1 ]departmentDepartment of Critical Care Medicine , The First Affiliated Hospital of Sun Yat-sen University , Guangzhou, Guangdong, China
                [2 ]departmentDivision of Pulmonary and Critical Care Medicine , The First Affiliated Hospital of Sun Yat-sen University , Guangzhou, Guangdong, China
                [3 ]departmentDepartment of Critical Care Medicine , The Affiliated Hospital of Jianghan University (No. Six Hospital of Wuhan) , Wuhan, China
                [4 ]departmentDepartment of Critical Care Medicine , Wuhan Hankou Hospital , Wuhan, China
                [5 ]departmentDepartment of Gastrointestinal Surgery , Wuhan Hankou Hospital , Wuhan, China
                [6 ]departmentScience and Education Section , Wuhan Hankou Hospital , Wuhan, China
                [7 ]departmentDepartment of Gastrointestinal Surgery , The Affiliated Hospital of Jianghan University (No. Six Hospital of Wuhan) , Wuhan, China
                [8 ]departmentClinical Trials Unit , The First Affiliated Hospital of Sun Yat-sen University , Guangzhou, Guangdong, China
                [9 ]departmentDepartment of Endocrinology , The First Affiliated Hospital of Sun Yat-sen University , Guangzhou, Guangdong, China
                [10 ]departmentDepartment of Medical Ultrasonics , The First Affiliated Hospital of Sun Yat-sen University , Guangzhou, Guangdong, China
                [11 ]departmentDepartment of Liver Surgery , The First Affiliated Hospital of Sun Yat-sen University , Guangzhou, Guangdong, China
                [12 ]departmentDepartment of Cardiology , The First Affiliated Hospital of Sun Yat-sen University , Guangzhou, Guangdong, China
                [13 ]departmentDepartment of Medicine and Therapeutics , The Chinese University of Hong Kong , Hong Kong, China
                [14 ]departmentPrecision Medicine Institute , The First Affiliated Hospital of Sun Yat-sen University , Guangzhou, Guangdong, China
                Author notes
                [Correspondence to ] Professor Haipeng Xiao; xiaohp@ 123456mail.sysu.edu.cn

                SP and HaiX are joint senior authors.

                JW, JH, GZ, QW, QL and YH are joint first authors.

                Author information
                http://orcid.org/0000-0003-3270-9797
                http://orcid.org/0000-0001-7242-760X
                http://orcid.org/0000-0002-4188-336X
                Article
                bmjdrc-2020-001476
                10.1136/bmjdrc-2020-001476
                7298690
                32503812
                8d7c3b76-6ffb-417b-aae8-aa2ab8e18413
                © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 17 April 2020
                : 15 May 2020
                : 24 May 2020
                Categories
                Epidemiology/Health Services Research
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                blood glucose,clinical study,infections
                blood glucose, clinical study, infections

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