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1.
J Diabetes Res ; 2021: 9756140, 2021.
Article in English | MEDLINE | ID: covidwho-1334600

ABSTRACT

[This corrects the article DOI: 10.1155/2020/1652403.].

2.
J Diabetes Res ; 2020: 1652403, 2020.
Article in English | MEDLINE | ID: covidwho-733124

ABSTRACT

BACKGROUND: Since December 2019, novel coronavirus- (SARS-CoV-2) infected pneumonia (COVID-19) has rapidly spread throughout China. This study is aimed at describing the characteristics of COVID-19 patients in Wuhan. METHODS: 199 COVID-19 patients were admitted to Wuhan Red Cross Hospital in China from January 24th to March 15th. The cases were divided into diabetic and nondiabetic groups according to the history of taking antidiabetic drugs or by plasma fasting blood glucose level at admission, and the difference between groups were compared. RESULTS: Among 199 COVID-19 patients, 76 were diabetic and 123 were nondiabetic. Compared with nondiabetics, patients with diabetes had an older age, high levels of fasting plasma glucose (FPG), D-dimer, white blood cell, blood urea nitrogen (BUN) and total bilirubin (TBIL), lower levels of lymphocyte, albumin and oxygen saturation (SaO2), and higher mortality (P < 0.05). The two groups showed no difference in clinical symptoms. Diabetes, higher level of D-dimer at admission, and lymphocyte count less than 0.6 × 109/L at admission were associated with increasing odds of death. Antidiabetic drugs were associated with decreasing odds of death. Treatment with low molecular weight heparin was not related to odds of death. CONCLUSION: The mortality rate of COVID-19 patients with diabetes was significantly higher than those without diabetes. Diabetes, higher level of D-dimer, and lymphocyte count less than 0.6 × 109/L at admission were the risk factors associated with in-hospital death.


Subject(s)
Coronavirus Infections/complications , Coronavirus Infections/mortality , Diabetes Complications/mortality , Diabetes Mellitus/mortality , Pneumonia, Viral/complications , Pneumonia, Viral/mortality , Aged , Betacoronavirus/genetics , Betacoronavirus/isolation & purification , COVID-19 , COVID-19 Testing , Case-Control Studies , China/epidemiology , Clinical Laboratory Techniques/methods , Comorbidity , Coronavirus Infections/blood , Coronavirus Infections/diagnosis , Diabetes Complications/blood , Diabetes Complications/drug therapy , Diabetes Complications/epidemiology , Diabetes Mellitus/blood , Diabetes Mellitus/drug therapy , Diabetes Mellitus/epidemiology , Female , Hospital Mortality , Humans , Hypoglycemic Agents/therapeutic use , Length of Stay/statistics & numerical data , Male , Middle Aged , Pandemics , Patient Admission/statistics & numerical data , Pneumonia, Viral/blood , Pneumonia, Viral/diagnosis , RNA, Viral/analysis , Retrospective Studies , Risk Factors , SARS-CoV-2
3.
J Infect Public Health ; 13(10): 1453-1455, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-641625

ABSTRACT

Since the outbreak of novel coronavirus (SARS-CoV-2)-infected pneumonia (COVID-19), numerous medical staff are fighting on the frontline. However, the possibility of occult infection in medical staff is ignored in many recent studies. Herein, we collected data in a COVID-19 designated hospital from January 22, 2020 to March 10, 2020. A total of 33 medical staff had at least one nucleic acid test of throat swab, immunoglobulin G (IgG) or IgM serum antibody test, and chest computed tomography (CT), were enrolled. Finally, we identified 25 cases (75.8%) were isolated for hospitalized treatment after positive virus detection. In addition, 4 cases who were all negative for nucleic acid test detection with no clinical symptoms, and none of their chest CT were abnormal. However, the results of serum IgG or IgM antibody test in these 4 cases were positive, suggesting the presence of occult infection. In conclusion, data from our single center indicated that SARS-CoV-2 had a high medical infection rate (29/33 = 87.9%) and might have a potential risk of occult infection.


Subject(s)
Antibodies, Viral/blood , Asymptomatic Infections , Betacoronavirus/immunology , Coronavirus Infections/diagnosis , Hospitals, Special , Medical Staff, Hospital/statistics & numerical data , Pneumonia, Viral/diagnosis , RNA, Viral/blood , Adult , Betacoronavirus/genetics , COVID-19 , China/epidemiology , Coronavirus Infections/epidemiology , Female , Humans , Immunoglobulin G/blood , Immunoglobulin M/blood , Male , Middle Aged , Pandemics , Pneumonia, Viral/epidemiology , Radiography, Thoracic , SARS-CoV-2 , Tomography, X-Ray Computed
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