Objective To explore the status and impact factors of hospitalized patients with coronary heart disease(CHD) accompanying depression disorders.Methods Adopt HRSD,SDS and general questionnaire for survey tools to evaluate the 300 hospitalized patients with CHD.Using SPSS13.0 software to build database,and the data was analyzed by descriptive statistics analysis and correlation analysis.Result There were 148 people accompanying depression disorders among the hospitalized·patients with CHD(47.30％ ),and 68 people were treated (47.89％).Multivariate logistic regression indicated that the age ( OR =-0.415,P ＜ 0.05,CI =0.443 ～0.984),smoking history( OR =0.384,P ＜ 0.05,CI =1.118 ～ 1.928 ),course of disease ( OR =-0.250,P ＜0.05,CI =0.608 ～ 0.996),myocardial infarction ( OR =0.676,P ＜ 0.05,CI =1.082 ～ 3.576 ),family history ( OR =-0.744,P ＜ 0.05,CI =0.231 ～ 0.978 ) were related to coronary artery disease accompanying depression disorders.Multivariate correlation analysis indicated that anxiety factor and gender were closely related,weight factor and age,educational level,myocardial infarction had closed relationship,cognitive factors were closely associated with the course of disease,day and night changes were in relation to age,block factor and gender,age,education,drinking history,smoking history were related closely,sleep factor and gender,onset form,hypertension relations closed,despair factor have closed relationship with gender,age,educational level,course of disease.Conclusion Age,smoking history,course of disease,myocardial infarction,family history were important risk factors of depression disorders in hospitalized patients with CHD.The HRSD's seven symptoms factors are closely associated with multipling influence factors.

Through looking up Chinese Pharmacopoeia and searching for unannounced inspection on the website of China food and drug administration and some GMP regulations and gudelines of European Union, the problems existing in the raw materials control of animal original biochemical drugs were discussed, and the relevant suggestions were put forward.

Objective To establish a preoperative nomogram model in predicting microvascular invasion (MVI) and to test its predictive effectiveness in hepatocellular carcinoma (HCC).Methods This retrospective study was conducted on 798 patients with HCC,including 690 males and 108 females,aged (49.8± 10.9) years old who underwent curative hepatectomy in the Guangxi Medical University Affiliated Tumor Hospital between January 2014 and December 2017 were retrospectively analyzed.The patients were divided into the model group (n=579) and the validation group (n=219) according to the periods of the operation time.Independent risk factors of MVI were identified by univariate and multivariate logistic regression analysis in the model group,and a nomogram model was established according to the independent risk factors.The accuracy of the nomogram model in predicting MVI was detected in the two groups by the computer consistency coefficient (C-index) and calibration graph method.The predictive value was evaluated by receiver operating characteristic curve.Results Histopathological diagnosis revealed 278 patients with MVI and no MVI in the 301 patients of HCC out of the 579 patients in the model group.In the validation group,there were 119 patients with MVI and 100 patients with no MVI out of the 219 patients.Total bilirubin ＞15 μmol/L(OR=1.519,95％ CI:1.041 ～ 2.217),alkaline phosphatase ＞60 U/L(OR =1.681,95％CI:1.059～2.670),alpha-fetoprotein ＞200 ng/L (OR=2.192,95％CI:1.531 ～3.134) and tumor maximum diameter (OR =1.120,95％CI:1.057 ～ 1.187) were the independent risk factors of MVI on multivariate analysis.After establishment of the nomogram model using the independent risk factors,the C-indexes were 0.680 and 0.773 respectively in the model group and the validation group.In the calibration graph,the standard curve properly fitted with the predicting calibration curve.The predicted value of MVI obtained was in good agreement with the observed value.The ROC curve analysis nomogram model predicted the low performance of MVI.Conclusion The nomogram model in predicting MVI in patients with HCC was successfully established.The model offered certain guiding significance in the clinical treatment of HCC.

Lung cancer is the most commonly diagnosed cancer and the leading cause of cancer death. Although great progress has been made in chemotherapy, radiotherapy and targeted therapy, the emergence of acquired drug resistance hinders the efficacy of clinical treatment. Studies have shown that tumor is a class of diseases with damaged cell cycle regulation mechanism, in which checkpoint kinase (Chk) plays a core role, Chk1 and Chk2 are very important protein kinases in the checkpoint. In recent years, it has been found that the regulation of Chk1 and Chk2 plays an important role in the clinical treatment and drug resistance mechanism of lung cancer. This article reviews the mechanism of cell cycle checkpoint kinase and drug resistance of lung cancer, and expounds the effective therapeutic targets and methods of lung cancer.
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ObjectiveTo investigate the contamination status, transmission risk and drug resistance of Klebsiella pneumoniae (KP) on the object surfaces in the surrounding environment of hospitalized patients infected with carbapenem-resistant Klebsiella pneumoniae (CRKP) , so as to provide a scientific guidance for the prevention and control of healthcare-associated infection. MethodsSamples from the surfaces of objects in the surrounding environment of CRKP infected patients living in the intensive care unit (ICU) and hand specimens from healthcare workers were collected for KP isolation and identification, as well as drug susceptible test in a medical institution located in Minhang District, Shanghai from 2021 to 2023. Additionally, both univariate and multivariate logistic regression analyses were used to identify the influencing factors associated with KP contamination in the hospital environment. ResultsA total of 546 surface samples were collected from the surrounding environment objects of 15 patients infected with CRKP, with a KP detection rate of 6.59% (36/546).The KP detection rate in the ICU of general ward (10.22%) was higher than that in the ICU of emergency department (2.94%) (χ²=12.142, P<0.001). Moreover, the KP detection rate on the surfaces of patient-contacted items (15.66%) was higher than that on shared-use items (6.25%), cleaning items (10.00%), and medical supplies (3.30%) (χ²=17.943, P<0.001). Besides, the detection rate of KP in items sent out of hospital for disinfection (15.38%) was higher than that in those self-disinfected (4.20%) (χ²=19.996, P<0.001).The highest detection rate of KP was observed in high-temperature washing (15.13%, 18/119) (χ²=21.219, P<0.001), while the lowest detection rate was observed in antibacterial hand sanitizer with trichlorohydroxydiphenyl ether sanitizing factor (0, 0/60) ( χ²=21.219, P<0.001).The detection rate of KP in samples taken more than 24 hours after the last disinfection (23.08%) was higher than that in those taken at 4 to24 hours (12.90%) and less than 4 hours (4.22%) (χ²=23.398,P<0.001).ICU of general ward (OR=4.045, 95%CI: 2.206‒7.416), patient-contacted items (OR=3.113, 95%CI: 1.191‒8.141), and self-disinfection ( OR=0.241, 95%CI:0.144‒0.402) were influencing factors for KP contamination in environmental surface. From 2021 to 2023, the drug resistance rates of hospital environmental KP isolates showed an upward trend (P<0.001) to antibiotics such as ceftazidime and gentamicin. Furthermore, high drug resistance rates of KP (>90%) were observed to ciprofloxacin, levofloxacin, cefotaxime, ceftriaxone, and cefepime. ConclusionCRKP can be transmitted outward through the surfaces of objects in the patients’ surroundings, and the drug resistance situation is severe. In clinical settings, it is necessary to implement isolation measures for CRKP infection patients, to increase the frequency of disinfection for objects in their surroundings, to strengthen hand hygiene practices, and to use antibiotics appropriately.

Objective: To compare the prognosis of radiofrequency ablation (RFA) for postoperative recurrent hepatocellular carcinoma and primary hepatocellular carcinoma(HCC). Methods: The clinical data of 179 patients with recurrent HCC (recurrent group) and primary HCC (primary group) treated by RFA from 2009 to 2015 were retrospectively analyzed. Overall survival rate (OS) and disease-free survival rate (DFS) were analyzed by Kaplan-meier log-rank test. The prognostic factors of RFA for recurrent HCC were analyzed by COX proportional hazard regression. Results: The 1, 3 and 5year′s OS of the recurrent group were 93%, 73%, 61%, respectively and 85%, 75%, 61% for the primary group(χ²=0.017, P=0.896). The corresponding 1, 3 and 5year′s DFS were 61%, 39%, 21% and 79%, 64%, 46% respectively (χ²=3.899, P=0.048). The independent risk factors affecting the OS of the recurrent group were the interval between hepatectomy to recurrence≤12 months (HR=0.264, 95% CI=0.077-0.901, P=0.033) and the Child-Pugh grading B before RFA (HR=4.501, 95% CI=1.426-14.208, P=0.01). Conclusions The DFS of patients with recurrent HCC were shorter than that with primary HCC treated by RFA. The interval between hepatectomy to recurrence and the Child-Pugh grading before RFA were independent risk factors for OS of the recurrent group.