Objective To study the predictive value of red blood cell distribution width in severity stratification of community-acquired pneumonia(CAP). Methods One-hundred and seventeen CAP patients admitted between August 2014 and August 2015 were recruited in the study.According to the severity of CAP evaluated by pneumonia severity index (PSI)and CURB score,the patients were divided into a severe group,a moderate group and a mild group with 39 cases in each group.Meanwhile 39 healthy volunteers were recruited as control.The blood red blood cell distribution width and high sensitive C-reactive protein(hs-CRP)levels were measured in all subjects. Results The PSI score and CURB score were significantly higher in the CAP patients than the control group and increased with the deterioration of the disease.The red blood cell distribution width and hs-CRP level were also significantly higher in the CAP patients than the control group and increased with the deterioration of the disease (P<0.05). Conclusion The red blood cell distribution width is correlated with the severity of CAP and has predictive value in CAP severity stratification.
ObjectiveTo evaluate the value of blood urea nitrogen to creatinine ratio (UCR) in predicting the condition and prognosis of severe pneumonia patients.MethodsA total of 408 patients with severe pneumonia hospitalized in the intensive care unit (ICU) of Fangcun branch of Guangdong Provincial Hospital of traditional Chinese medicine from January 1, 2017 to August 1, 2020 were retrospectively collected. The patients were divided into a survival group (320 cases) and a death group (88 cases) according to the outcome of hospitalization. This study analyzed the relationship between UCR level and general information, condition, and treatment needs of severe pneumonia patients; and compared UCR, the value of neutrophil to lymphocyte ratio, the levels of hematocrit, C-reactive protein, procalcitonin and D-dimer, and the scores of Acute Physiology and Chronic Health EvaluationⅡ and Pneumonia Severity Index between the survival group and the death group. Receiver operating characteristic (ROC) curve was used to analyze the prognostic value of the above indicators. Logistic regression was used to analyze the risk factors of death of severe pneumonia.ResultsThe age of the patients died of severe pneumonia was higher than that of the survival patients (P<0.05); The mortality rate of severe hospital acquired pneumonia was higher than that of severe community acquired pneumonia (P<0.05); The level of UCR was higher in the patients over 70 years old (P<0.05); UCR level of the severe pneumonia patients with acute exacerbation of chronic obstructive pulmonary disease or multiple organ dysfunction syndrome during hospitalization was higher (P<0.05); The UCR level was higher in the patients with severe pneumonia whose ICU stay was more than 10 days (P<0.05); The UCR level of the severe pneumonia patients with mechanical ventilation longer than 180 hours was higher (P<0.05); UCR level of the severe pneumonia patients who died during hospitalization was higher than that of the survival group (P<0.05); The area under ROC curve of UCR for predicting death in the patients with severe pneumonia was 0.648 (95%CI 0.576 - 0.719), the cut-off value was 108.74, the sensitivity was 47.7%, and the specificity was 77.8% (P<0.05). PSI > level 3 (OR=4.297, 95%CI 2.777 - 6.651) and UCR > 108.74 (OR=0.545, 95%CI 0.332 - 0.896) were independent risk factors for death in the patients with severe pneumonia (P<0.05).ConclusionUCR has certain value in evaluating the condition and prognosis of severe pneumonia patients.
Objective To observe the correlation between homocysteine (Hcy) and serum uric acid (SUA) and retinopathy in type 2 diabetes mellitus (T2DM), preliminary study on its predictive value. MethodsA retrospective study. From January 2020 to March 2021, a total of 324 T2DM patients hospitalized in Department of Endocrinology, Cangzhou Central Hospital of Hebei Province were included. Fasting blood glucose (FBG), glycated hemoglobin (HbA1C), triglycerides (TG), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), serum creatinine (Scr), blood urea nitrogen (BUN), Hcy, SUA, peripheral blood endothelial progenitor cells (EPC), circulating endothelial cells (CEC) were counted and homeostasis model assessment for insulin resistance (HOMA-IR) was calculated. According to the absence or presence of diabetic retinopathy (DR), the patients were divided into non DR (NDR) group and DR group with 100 and 214 cases, respectively. Clinical data and laboratory biochemical indexes of the two groups were compared and observed. The logistic regression was used to analyze the independent risk factors for DR in T2DM patients. Smooth curve fitting was used to analyze the curve relationship between Hcy, SUA and DR, and ROC area (AUC) of Hcy, SUA; their combined prediction of DR in T2DM patients was calculated by receiver operating characteristic curve (ROC curve), and the predictive value of Hcy and SUA for DR in T2DM patients was evaluated. ResultsDiabetic course (t=5.380), systolic blood pressure (t=2.935), hypertension (χ2=10.248), diabetic nephropathy (χ2=9.515), diabetic peripheral neuropathy (χ2=24.501), FBG (t=3.945), HbA1C (t=3.336) and TG in DR Group (t=2.898), LDL-C (t=3.986), Scr (t=2.139), SUA (t=7.138), HOMA-IR (t=3.237), BUN (t=3.609), Hcy (t=2.363) and CEC (t=19.396) were significantly higher than those in NDR group. The difference was statistically significant (P＜0.05). EPC (t=9.563) and CPC (t=7.684) levels were significantly lower than those of NDR group, and the difference was statistically significant (P＜0.05). Logistic regression analysis showed that diabetes course, SBP, hypertension, FBG, HbA1C, LDL-C, SUA, Hcy, EPC, CPC and CEC were all independent risk factors for developing DR in T2DM patients (P＜0.05). The smooth curve fitting analysis showed that Hcy and SUA were positively correlated with the occurrence of DR. After adjusting for confounding factors, when Hcy≥15 μmol/L, the risk of DR Increased by 14% for every 1 μmol/L increase in Hcy [odds ratio (OR)=0.92, 95% confidence interval (CI) 0.88-0.98, P＜0.05]. When Hcy＜15 μmol/L, there was no significant difference (OR=0.96, 95%CI 0.92-1.08, P＞0.05). When SUA≥304 μmol/L, the risk of DR increased by 17%, every 20 μmol/L SUA increased (OR=0.80, 95%CI 0.68-0.94, P＜0.05). When SUA＜304 μmol/L, the difference was not statistically significant (OR=0.83, 95%CI 0.72-0.95, P＞0.05). ROC curve analysis results showed that the AUC values of Hcy, SUA and Hcy combined with SUA in predicting the occurrence of DR in T2DM patients were 0.775 (95%CI 0.713-0.837, P＜0.001), 0.757 (95%CI 0.680-0.834, P＜0.001) and 0.827 (95%CI 0.786-0.868, P＜0.001). Hcy combined with SUA showed better predictive efficiency. ConclusionsThe abnormal increase of Hcy and SUA levels in T2DM patients are closely related to the occurrence of DR, they are independent risk factors for the occurrence of DR. Hcy combined with SUA has high predictive value for the occurrence of DR.