Comparison of demographic features and laboratory parameters between COVID-19 deceased patients and surviving severe and critically ill cases

BACKGROUND Coronavirus disease 2019(COVID-19) has been far more devastating than expected, showing no signs of slowing down at present. Heilongjiang Province is the most northeastern province of China, and has cold weather for nearly half a year and an annual temperature difference of more than 60℃, which increases the underlying morbidity associated with pulmonary diseases, and thus leads to lung dysfunction. The demographic features and laboratory parameters of COVID-19 deceased patients in Heilongjiang Province, China with such climatic characteristics are still not clearly illustrated.AIM To illustrate the demographic features and laboratory parameters of COVID-19 deceased patients in Heilongjiang Province by comparing with those of surviving severe and critically ill cases.METHODS COVID-19 deceased patients from different hospitals in Heilongjiang Province were included in this retrospective study and compared their characteristics with those of surviving severe and critically ill cases in the COVID-19 treatment center of the First Affiliated Hospital of Harbin Medical University. The surviving patients were divided into severe group and critically ill group according to the Diagnosis and Treatment of New Coronavirus Pneumonia(the seventh edition).Demographic data were collected and recorded upon admission. Laboratory parameters were obtained from the medical records, and then compared among the groups.RESULTS Twelve COVID-19 deceased patients, 27 severe cases and 26 critically ill cases were enrolled in this retrospective study. No differences in age, gender, and number of comorbidities between groups were found. Neutrophil percentage(NEUT%), platelet(PLT), C-reactive protein(CRP), creatine kinase isoenzyme(CK-MB), serum troponin I(TNI) and brain natriuretic peptides(BNP) showed significant differences among the groups(P = 0.020, P = 0.001, P < 0.001, P = 0.001, P < 0.001, P <0.001, respectively). The increase of CRP, D-dimer and NEUT% levels, as well as the decrease of lymphocyte count(LYMPH) and PLT counts, showed significant correlation with death of COVID-19 patients(P = 0.023, P = 0.008, P = 0.045, P = 0.020, P = 0.015, respectively).CONCLUSION Compared with surviving severe and critically ill cases, no special demographic features of COVID-19 deceased patients were observed, while some laboratory parameters including NEUT%, PLT, CRP, CK-MB, TNI and BNP showed significant differences. COVID-19 deceased patients had higher CRP, D-dimer and NEUT% levels and lower LYMPH and PLT counts.

Diagnostic Value of NPAR,MHR,GLU and Coronary Heart Disease Complicated with Type 2 Diabetes Mellitus

[Objectives]To explore the relationship between neutrophil percentage to albumin ratio(NPAR),monocyte to high density lipoprotein ratio(MHR),fasting blood glucose(GLU)and CAD+T2DM and its diagnostic value.[Methods]A total of 3937 patients who underwent coronary angiography in the Affiliated Hospital of Chengde Medical University from January 2016 to December 2018 were collected.The patients with Gensini score>0 and diabetes were selected as the experimental group(CAD+T2DM,n=756),and the patients with Gensini score=0 and without diabetes were taken as the control group(n=388),with a total of 1144 cases.The patient's medical record number,sex,age,contact number,biochemical test results,cardiac color ultrasound,coronary artery imaging and other data were recorded.NPAR,MHR,and GLU were calculated.A binary Logistic regression model was established combined with the receiver operating characteristic(ROC)curve.The predictive value of single index and joint test for CAD+T2DM was analyzed.[Results]The serum levels of NPAR,MHR and GLU in CAD+T2DM were significantly higher than those in the control group.Binary Logistic regression analysis showed that serum NPAR,MHR and GLU were risk factors for CAD+T2DM(P<0.05).The final prediction model is P=1/[1+e-(-3.722+0.014×NPAR+0.51×MHR+0.461×GLU)].ROC curve showed that the area under the curve of serum NPAR,MHR and GLU was 0.739,0.628 and 0.852,respectively,and the prediction probability of combined detection was 0.882,which was significantly higher than that of single index.[Conclusions]There was a close correlation between serum NPAR,MHR,GLU and CAD+T2DM in patients with coronary heart disease.The combined application of these indexes can significantly improve the predictive value of CAD+T2DM.