Objective To investigate the relationship between the serum adiponectin levels and prognosis of septic patients, by detecting the serum levels of adiponectin in septic patients. Methods 110 septic patients and 100 healthy controls subjects were enrolled. The serum levels of adiponectin were measured and compared. Clinical data and outcomes of septic patients were analyzed multi-factor Logistic regression analysis were used. Results The serum levels of adiponectin in septic patients were lower than that in healthy controls (P < 0.05). Serum levels of adiponectin in death group was lower than that in sepsis survival group (P < 0.05). There were close correlations between age, MODS, adiponectin and sepsis death(P < 0.05), which were the independent risk factors of death in septic patients. Conclusion The lower the adiponectin level is, the higher mortality rate occurs.Adiponectin can be used as the indicators of patients′ prognosis.

Objective:To analyze the component ratio of the social emergency training instructors in Baoan District, Shenzhen;Methods:During January 2018 to January 2019,participants, candidate to be social emergency training instructors in Baoan district, Shenzhen, were enrolled in our analysis. they needed orderly pass primary selection and intensive selection to be formal social emergency training instructors. Personal data from candidates including hospital, serving department, degree and professional types were collected. According to serving departments, candidates from pre-hospital emergency, emergency ward and critical care unite is belong to the emergency group and other s who is not from above departments belong to the non-emergency group.Results:Total of 1 270 candidates took part in 7 primary classes and 27 intensive selection until 1131 of them received the formal certifications. 440(38.90%) instructors from emergency group and 691(61.10%) instructors belong to non-emergency group. At category level of hospital, 213 (18.83%) is from three grade, 525 (46.42%) is from two grade, 254 (22.46%) is from specialized hospitals, and 139 (12.29%) is from community health centers. In non-emergency group, ratio of serving departments are consists of: 15.77% from internal medicine, 10.14% from chirurgery, 8.11% from pediatrics, 7.96% from obstetrics and gynecology, 2.62% cases from otorhinolaryngology, 24.29% from medical assistants, 20.11% from community health center and 11.00% from administrative officer. Nurses (64.13%) is the majority professional types of social emergency training instructors. In terms of degree, bachelor mainly occupied at 71.02%. Primary (53.18%) and attending (30.47%) account for majority of position ranks.Conclusions:Our team of social emergency training instructors,mainly from local medical staffers, has a great educational background and competitive team; Among them, emergency team is crucial to provoke other medical staffs from different departments to participate in career at social emergency training.

Objective To explore the association between plasma homocysteine (Hcy) level and hyper-uricemia (HUA) in the elderly patients with hypertension.Methods From March to August in 2018,9902 hypertensive patients ≥ 60 years were routinely tested for blood biochemical indicators in Wuyuan county,Jiangxi province.The patients were assigned into a HUA group and a normal uric acid group.Multivariate Logistic regression was adopted to analyze the relationship between Hcy level and the risk of HUA.Results Compared with the normal uric acid group,the HUA group showed increased incidence of hyperhomocysteinemia (99.9% vs.98.7%,P<0.001) and elevated Hcy level[16.8 (13.8-21.5) μmol/L vs.14.4 (12.3-17.7) μmol/L,P<0.001].The multivariate Logistic regression analysis showed that after adjusting for influencing factors,the risk of HUA in the patients with hyperhomocysteinemia was 2.92 times of that in the patients with a normal Hcy level.The threshold effect analysis showed that the Hcy level was positively correlated with the occurrence of HUA in the case of Hcy<20 μmol/L (OR=1.05,95%CI=1.04-1.07,P<0.001).In the case of Hcy ≥ 20 μmol/L,there was no correlation between Hcy level and HUA (OR=1.00,95%CI=0.99-1.00,P=0.055),and the likelihood ratio test showed statistically significant results (P<0.001).Conclusion The elderly with hypertension should pay attention to control the Hcy level,which will be helpful to prevent the occurrence of HUA.
Humans ; Aged ; Hyperuricemia/complications* ; Hyperhomocysteinemia/epidemiology* ; Uric Acid ; Hypertension ; Homocysteine ; Risk Factors

Objective To explore the roles of different insulin resistance indexes[triglyceride-glucose (TyG),triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C),and metabolic score for insulin resistance (METS-IR)]and combinations of two indexes in predicting diabetes risk in hypertensive population. Methods The survey of hypertension was conducted for the residents in Wuyuan county,Jiangxi province from March to August in 2018.The basic information of hypertensive residents was collected by interview.Blood was drawn on an empty stomach in the morning and physical measurements were carried out.Logistic regression model was employed to analyze the relationship between different insulin resistance indexes and diabetes,and the area under the receiver operating characteristic curve was used for evaluating the predictive effects of each index on diabetes risk. Results A total of 14 222 hypertensive patients with an average age of (63.8±9.4) years old were included in this study,including 2616 diabetic patients.The diabetic hypertensive population had higher TyG (t=50.323,P<0.001),TG/HDL-C (Z=17.325,P<0.001),and METS-IR (t=28.839,P<0.001) than the non-diabetic hypertensive population.Multivariate analysis showed that each insulin resistance index was positively correlated with diabetes risk.The area under curve of each insulin index was in a descending order of TyG (0.770)> METS-IR (0.673)> TG/HDL-C (0.620).The difference in the area under curve between two indexes was statistically significant[TyG vs.TG/HDL-C (Z=42.325,P<0.001);TyG vs.METS-IR(Z=17.517,P<0.001);METS-IR vs.TG/HDL-C (Z=10.502,P<0.001)]. Conclusions Elevated insulin resistance indexes can increase the risk of diabetes.TyG and the combination of indexes outperform TG/HDL-C and METS-IR in the prediction of diabetes.
Humans ; Middle Aged ; Aged ; Insulin Resistance ; Blood Glucose/metabolism* ; Biomarkers ; Diabetes Mellitus ; Hypertension ; Glucose ; Triglycerides ; Cholesterol, HDL

Objective: To investigate the clinical value of combined detection of serum angiopoietin 2 (Ang-2) and Clara cell protein 16 (CC16) in the early diagnosis of acute respiratory distress syndrome (ARDS). Methods: Two hundred critical patients, treated at the Department of Critical Care Medicine, Bao'an District People's Hospital, Shenzhen during March 2015 and September 2016,were included in the study. According to the Berlin standard, patients were divided into two groups (n=100 each group): the ARDS group and non-ARDS group.The serum levels of Ang-2 and CC16 were measured by enzyme-linked immunosorbent assay (ELISA) on the first and second day of admission for each patient, in addition to completing APACHEⅡ score, medical history, vital signs collection and other biochemical indicators detection. Finally, paired-samples t test was used to analyze the data. The multiple ROC curve was used to calculate the area under the curve of the reference index of the serum levels of Ang-2 and CC16 on the first and second day. Results: On the first and second day, the serum levels of Ang-2 and CC16 were significantly higher in ARDS patients than those in non-ARDS patients, and there was a correlation between the serum levels of Ang-2 and CC16 in ARDS patients. The ROC curve showed that the combined detection of Ang-2 and CC16 on the first day achieved a highest sensitivity of 75.9% and detection of CC16 on the first day achieved a highest specificity of 70.2%. Conclusion Single-detection of serum levels of Ang-2 and CC16 could be used for early diagnosis of ARDS, and the combined detection of both has a higher sensitivity than single detection.