Objective To explore the causes of nosocomial infections in ICU as to provide scientific evidence for the corresponding intervention measures.Methods The retrospective survey was used to investigate and analyze the incidence of nosocomial infections in ICU from 2013 to 2014.Results The total of 1225 patients investigated,182 patients suffered from nosocomial infections and the nosocomial infections rate was 14.86％.The etiology of ICU specimen was 95.22％.Gram negative bacilli,Gram positive bacteria and fungi,which accounted for 69.16％,18.22％ and 12.62％ respectively.The main infection site were respiratory tract,blood and urinary tract,which accounted for 70.43％,11.30％ and 4.78％ respectively.Conclusion The hospital infection rate of ICU in our hospital is kept the same level of the hospital in the same area.Etiology specimens rate comply with national standards.Main pathogens are gram negative bacilli,and the main site of infection is respiratory.

Frailty is a syndrome characterized by vulnerability to stressors due to loss of physiological reserve. In recent years, many researches have confirmed that frailty is a risk factor for postoperative complications of cardiac surgery, such as readmission, adverse cardiovascular events, and death in elderly patients. This paper reviews the concept of frailty, the relationship between frailty and cardiac surgery, the frailty assessment and intervention strategy in perioperative period, aimed at providing decision making basis for the risk stratification and perioperative management of cardiac surgery in elderly patients.

Objective    To systematically evaluate the risk factors for hypoxemia after coronary artery bypass grafting (CABG). Methods    Eight electronic databases including PubMed, EMbase, CENTRAL, Web of Science, CNKI, CBM, VIP and Wanfang data were searched by computer to collect cochort and case-control studies about CABG and hypoxemia published from inception to March 2020. Two authors independently assessed the quality using the Newcastle-Ottawa Scale (NOS), and a meta-analysis was performed by RevMan 5.3 software. Results    A total of 15 studies involving 4 277 patients were included in this study and among them 1 273 patients suffered hypoxemia. Meta-analysis showed that age (OR=1.55, 95%CI 1.22 to 1.96, P=0.000 3), smoking (OR=3.22, 95%CI 2.48 to 4.17, P<0.000 01), preoperative chronic pulmonary diseases (OR=4.75, 95%CI 3.28 to 6.86, P<0.000 01), diabetes (OR=2.49, 95%CI 1.86 to 3.33, P<0.000 01), left ventricular ejection fraction (OR=3.15, 95%CI 2.19 to 4.52, P<0.000 01), number of coronary artery lesions (OR=2.20, 95%CI 1.63 to 2.97, P<0.000 1) were independent risk factors for hypoxemia after CABG; body mass index (OR=1.31, 95%CI 0.97 to 1.77, P=0.08) and cardiopulmonary bypass time (OR=3.40, 95%CI 0.72 to 15.94, P=0.12) were not associated with hypoxemia. Conclusion    Current evidence shows that age, preoperative chronic pulmonary diseases, smoking, diabetes, left ventricular ejection fraction, number of coronary artery are risk factors for hypoxemia after CABG, which can be used to identify high-risk patients and provide guidance for medical staff to develop perioperative preventive strategies to reduce the incidence of hypoxemia. The results should be validated by large-scale standard studies in the future.

Objective     To systematically evaluate the risk factors for hypoxemia after Stanford type A aortic dissection (TAAD) surgery. Methods     Electronic databases including PubMed, EMbase, The Cochrane Library, Web of Science, CNKI, Wanfang Data, VIP and CBM were searched by computer to collect studies about risk factors for hypoxemia after TAAD published from inception to November 2021. Two authors independently assessed the studies' quality, and a meta-analysis was performed by RevMan 5.3 software. Results    A total of 19 case-control studies involving 2 686 patients and among them 1 085 patients suffered hypoxemia, included 21 predictive risk factors. The score of Newcastle-Ottawa scale≥7 points in 16 studies. Meta-analysis showed that: age (OR=1.10, 95%CI 1.06 to 1.14, P<0.000 01), body mass index (OR=1.87, 95%CI 1.49 to 2.34, P<0.000 01), preoperative partial pressure of oxygen in arterial blood/fractional concentration of inspiratory oxygen (PaO2/FiO2)≤300 mm Hg (OR=7.13, 95%CI 3.48 to 14.61, P<0.000 01), preoperative white blood cell count (OR=1.34, 95%CI 1.18 to 1.53, P<0.000 1), deep hypothermic circulatory arrest time (OR=1.33, 95%CI 1.14 to 1.57, P=0.000 4), perioperative blood transfusion (OR=1.89, 95%CI 1.49 to 2.41, P<0.000 01), cardiopulmonary bypass time (OR=1.02, 95%CI 1.00 to 1.03, P=0.02) were independent risk factors for hypoxemia after TAAD surgery. Preoperative serum creatinine, preoperative myoglobin, preoperative alanine aminotransferase were not associated with postoperative hypoxemia. Conclusion     Current evidence shows that age, body mass index, preoperative PaO2/FiO2≤300 mm Hg, preoperative white blood cell count, deep hypothermic circulatory arrest time, perioperative blood transfusion, cardiopulmonary bypass time are risk factors for hypoxemia after TAAD surgery. These factors can be used to identify high-risk patients, and provide guidance for medical staff to develop perioperative preventive strategy to reduce the incidence of hypoxemia. The results should be validated by higher quality researches.

Objective    To analyze the changes of perioperative thyroid hormone in patients undergoing cardiac surgery under cardiopulmonary bypass, and to provide guidance for postoperative cardiac management. Methods    The clinical data of 72 patients receiving cardiac surgery under cardiopulmonary bypass in our hospital from January to May 2019 were collected, including 35 males and 37 females, aged 19-72 (52.35±10.40) years. The changes of thyroid hormones before operation, 2 hours and 24 hours after operation were analyzed. Results    There was a statistical difference in thyroid stimulating hormone (TSH), triiodothyronine (T3), tetraiodothyronine (T4) and free tetraiodothyronine (FT4) between postoperative 2 hours and preoperation (P<0.05). There was a statistical difference in TSH, T3, free triiodothyronine (FT3), T4 and FT4 between postoperative 24 hours and preoperation (P<0.05). There was a statistical difference in TSH, T3, FT3 and T4 between postoperative 24 hours and 2 hours (P<0.05). Postoperatively T3 and FT3 decreased, TSH increased and then decreased while T4 and FT4 were within the normal range. Repeated measures analysis of variance showed a statistical difference of time effect in TSH, T3, FT3, T4 and FT4. Conclusion    Patients with cardiac surgery under cardiopulmonary bypass have different thyroid hormones postoperatively compared with preoperatively. T3 and FT3 decrease, TSH increases and then decreases, while T4 and FT4 are in the normal range. The results require further large-scale, multi-center, high-quality clinical studies to be confirmed.

【Objective 】 To explore the influencing factors of Yang deficiency constitution in traditional Chinese medicine (TCM) from the perspective of mathematics with the use of calculation formulas, so as to protect patients from getting diseases caused by Yang deficiency constitution and provide suggestions for TCM disease prevention. 【Methods】  Based on the classification and determination criteria of TCM constitution implemented by China Association of Chinese Medicine, data for 24 solar terms from May 5, 2020(Start of Summer) to April 20, 2021 (Grain Rain) for the identification of Yang deficiency were collected by mobile constitution identification system. The grey correlation analysis method was used to determine the grey correlation degree of the factors influencing Yang deficiency constitution. In addition, a random forest model was constructed for the verification of the results from the grey correlation analysis, and for the evaluation of correlation degree between Yang deficiency constitution and its influencing factors. 【Results】  A total of 16 259 sets of data were collected from healthy or sub-healthy individuals aged from 18 to 60 years living in the central and northeastern parts of Sichuan Province(China) for the identification of TCM constitutions. After screening and preprocessing, a total of 544 sets of data for the identification of Yang deficiency constitution, involving 18 aspects of factors influencing Yang deficiency constitution. The results of the grey correlation analysis showed that there were 12 influencing factors whose grey correlation degree with Yang deficiency constitution was greater than 0.6. The accuracy of these 12 influencing factors with the training set and validation set of the Yang deficiency constitution random forest model were 98.39% and 93.12%, respectively. 【Conclusion】  In the sample data selected in this paper, grey correlation analysis is the appropriate technology to analyze the influencing factors of Yang deficiency constitution. It provides a new idea and a new methodological reference for the research and analysis of the influencing factors of TCM constitution.

【Objective】 To estimate the prevalence, associated factors and patterns of multimorbidity of non-communicable diseases among adults in Shaanxi Province so as to provide evidence for the prevention and control of non-communicable diseases. 【Methods】 We used the data of adults aged 18 years and older collected in the baseline survey of Shaanxi Project in the Regional Ethnic Cohort Study in Northwest China. Multinomial logistic regression was used to explore the associated factors for multimorbidity. Exploratory factor analysis was used to extract patterns of multimorbidity. 【Results】 The prevalence of multimorbidity was 10.7% among the 44 442 participants. Age increase, being males, urban residence, and being overweight or obesity were positively associated with multimorbidity. Compared with women, men had a higher risk of multimorbidity. The OR and 95% CI was 1.25 (1.12-1.39). The risk of multimorbidity increased with age among adults. Compared with participants aged 18.0-34.9 years, the ORs and 95% CIs of those aged 35.0-44.9, 45.0-54.9, 55.0-64.9, and ≥65.0 years were 4.73 (3.47-6.46), 15.61 (11.60-21.00), 41.39 (30.76-55.70) and 90.04 (66.58-121.77), respectively. The primary multimorbidity patterns among adults in Shaanxi were cardiovascular-metabolic multimorbidity (5.4%), viscero-articular multimorbidity (1.0%), and respiratory multimorbidity (0.3%). 【Conclusion】 More than one in ten adults in Shaanxi Province had multimorbidity, and the predominant pattern of multimorbidity was cardiovascular-metabolic multimorbidity. The prevention and control of non-communicable diseases should be reinforced in middle-aged and older people, males, people living in the urban, and overweight or obese people. More attention should be paid to the prevention and control of cardiovascular-metabolic diseases.

【Objective】 To evaluate the dietary quality with the dietary balance index (DBI_16) and the association between dietary quality and bone mass among middle-aged and elderly people in Gansu Province so as to provide evidence for improving dietary quality and bone health status of Gansu population. 【Methods】 Based on the information of the type and quantity of food intake and the bone mass of middle-aged and elderly people aged 35 years and above collected by the Gansu Project in the Regional Ethnic Cohort Study in Northwest China, DBI_16 was used to evaluate the intake level of cereals, vegetables, fruits, milk, beans, fish and shrimp, eggs and other foods, and the degree of inadequate, excessive and unbalanced dietary intake of the participants. Multiple linear regression was used to evaluate the associations of three component indexes of DBI_16, high bound score (DBI_HBS), low bound score (DBI_LBS), diet quality distance (DBI_DQD), and seven single indexes of DBI_16 with bone mass. 【Results】 Analyses of the dietary and bone mass data of 11,840 participants showed that 44.8% of participants consumed excessive amounts of cereals compared to the dietary recommendation. 96.3%, 90.6%, 90.1%, 71.9%, 95.1% and 60.3% of participants’ intake of vegetables, fruits, milk, soybeans, fish and shrimp, and eggs, respectively, were inadequate. 47.7% participants consumed less than 10 types of food. 2.3% participants’ DBI_LBS levels were appropriate. 54.7% participants’ DBI_HBS levels were appropriate. Only 1.2% participants’ DBI_DQD reached a balanced level. The bone mass level in the study population was (2.5±0.6) kg [(2.8±0.5) kg for men and (2.3±0.5) kg for women]. After adjusting for sociodemographic characteristics, lifestyle, total dietary energy intake and body mass index, DBI_LBS and DBI_DQD were negatively associated with bone mass [β and 95% CI was -0.002 01 (-0.003 62--0.000 40) and -0.001 76 (-0.003 09--0.000 43), respectively]. 【Conclusion】 Dietary intake imbalance is common among middle-aged and elderly people in Gansu Province, and the more severe the dietary intake imbalance, the lower the bone mass level.