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1.
Chinese Critical Care Medicine ; (12): 774-778, 2020.
Article in Chinese | WPRIM | ID: wpr-866916

ABSTRACT

Objective:To investigate the correlation between hyponatremia and the severity of coronavirus disease 2019 (COVID-19).Methods:Clinical data of 12 patients with COVID-19 admitted to Shantou Central Hospital from January 23 to February 5 in 2020 were retrospectively analyzed, including gender, age, symptoms, lab test and clinical outcomes, to analyze the change trend of blood Na + level in the patients with COVID-19. Results:Among the 12 patients with COVID-19, there were 8 males and 4 females with the mean age of (38.0±16.3) years old, most of them were admitted to the hospital with cough and/or fever. All patients had a positive nucleic acid test for 2019 novel coronavirus (2019-nCoV), and were discharged after clinical treatment with oxygen therapy, antiviral, antibacterial, anti-inflammatory, and nutritional support. All patients were of ordinary type when they were admitted to the hospital. Among them, 1 patient turned into a severe case during the course of the disease, and 1 patient showed a tendency to become severe case. It was found that 10 patients without severe conversion had an average blood Na + of (138.3±1.3) mmol/L at admission, and the lowest blood Na + during the course of disease was (135.9±3.1) mmol/L. However, 2 patients who became severe and had a tendency to become severe disease (Na + levels at admission were 140.0 mmol/L and 138.0 mmol/L, respectively) experienced hyponatremia during the course of the disease (the lowest blood Na + levels were 129.0 mmol/L and 122.0 mmol/L). Further analysis showed that the lower serum Na + level, the higher level of white blood cell count (WBC) and C-reactive protein (CRP), but serum Na + level was consistent with the change trend of lymphocytes, suggesting that hyponatremia was closely correlated with severe inflammation reaction. Conclusions:Serum Na + showed decreasing tendency during the development of COVID-19, and hyponatremia was closely related to the severity of COVID-19. It was necessary to pay great attention to the change trend of blood Na + level. However, further research was needed to obtain more reliable conclusions and explorer the pathophysiological mechanisms.

2.
Chinese Journal of Emergency Medicine ; (12): 343-348, 2016.
Article in Chinese | WPRIM | ID: wpr-490457

ABSTRACT

Objective To investigate the risk factors for acute kidney injury (AKI) in patients with non-ST-segment elevation myocardial infarction (NSTEMI),and to establish a prediction score system for AKI.Methods Totally 296 patients with NSTEMI,who were admitted to the emergency room and further transferred to the Cardiovascular Department in Shantou Central Hospital,were enrolled during January 2011 to April 2014.All patients were divided into AKI group and non-AKI group.Demographics,clinical data and laboratory examinations were collected before and after AKI.AKI risk factors and its OR values were determined after statistically analyzed data by One-Way ANOVA,multivariate logistic regression analysis.Prediction score system for AKI was further established by area under the ROC curve and Hosmer-Lemeshow goodness of fit tests.Results For total 296 patients,the incidence of AKI was 18.4%,including 35 (64.8%) patients in stage Ⅰ,12 (22.2%) patients in stage Ⅱ and 7 (13.0%) patients in stage Ⅲ.Logistic analysis showed that age,heart function (Killip),anemia,the time to emergency department after AMI attack,and absence β-blocker were independent factors associated with AKI.Prediction score system was established which the highest score was 13.A risk score of 3.5 points was determined by Youden' s index,as the optimal cut-off for predict AKI.Patients with ≤3.0 points were considered at low risk,and ≥4.0 points were considered at high risk for AKI.The prediction score system of AKI showed adequate discrimination (area under ROC curve was 0.806) and calibration (Hosmer-Lemeshow statistic test,P =O.503).Conclusions Age,heart function (Killip),anemia,the time to emergency department after AMI attack,and absence β-blocker were independent factors associated with AKI.The clinical prediction score system may help clinicians to make pre-intervention for NSTEMI patients with high AKI risk.

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