1.One case report of sudden death due to ruptured aortic sinus aneurysm into right ventricle.
Hui-fang MA ; Guo-hua XUE ; Shou-yan ZHANG
Chinese Journal of Cardiology 2011;39(11):1048-1049
Adult
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Aortic Rupture
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pathology
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Death, Sudden, Cardiac
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etiology
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Heart Ventricles
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pathology
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Humans
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Male
3.Responses of Microorganisms Producing Protease to Heavy Metal Stress
Guo-Fang MA ; Jiang WANG ; Chong-Bang ZHANG ;
Microbiology 1992;0(06):-
Effects of Pb,Zn,Cu and Cd on growth and enzyme activities of microorganisms such as Bacillus licheniformis 2709,Bacillus subtilis1.398 and Aspergillus usamii 537,which can individually produce alka-line,neutral and acid protease,were studied,respectively. By determining growth and enzyme activities of three bacterial species,as well as analyzing their tolerance and resistance indicators(MTC and MIC) using growth inhibition plate analysis(GIPA) under different heavy metal gradients,results showed that four heavy metals under higher than a special concentration level significantly inhibited growth and enzyme ac-tivities of three species. The alkaline protease exhibited greatest adaptability to four heavy metals,next the neutral protease also exhibited certain adaptibilty to Zn and Cd,whereas the acid protease was totally inhib-ited under any levels of heavy metal concentrations. Three species not only showed great potential to tolerate and resist toxicity of lead and zinc(2.0 mmol/L-6.0 mmol/L) ,but also showed certain resistance to cad-mium(0.5 mmol/L-0.75 mmol/L) .
4.Multiplex real-time quantitative polymerase chain reaction for simultaneous detection of Escherichia coli and Candida albicans genes in human whole blood
Jiabin FANG ; Junren KANG ; Enling MA ; Guangliang GUO ; Xizeng CUI
Chinese Journal of Clinical Nutrition 2015;23(3):170-175
Objective To establish a multiplex real-time quantitative polymerase chain reaction (MRQPCR) assay for fast and simultaneous detection of Escherichia coli (E.coli) and Candida albicans (C.albicans) genes in human whole blood,in order to facilitate differentiation of the types of microorganism and evaluation of the severity of bacterial or fungi translocation due to impaired gut barrier,hence providing help to select specific antimicrobial agents.Methods The β-D-galactosidase gene of E.coli and ITS2 gene of C.albicans were selected as the target genes for designing primers and probes.E.coli and C.albicans genomes were extracted with QIAamp(R) DNA Blood Mini Kit,and the 25 μl TaqMan MRQ-PCR amplification reaction system was established.18 simulated human whole blood samples and 10 whole blood samples from febrile surgical patients were detected for E.coli and C.albicans genes using MRQ-PCR.Results The specificity of the primers and probes were excellent.The correlation coefficients of the standard curves of E.coli and C.albicans were 0.994-0.999 and 0.994-0.998,respectively;and the efficiency of amplification were 0.894-1.022 and 0.905-1.028,respectively.In the standard samples,the lowest detection limits of E.coli and C.albicans were 13.9 copies/μl and 0.8 cfu/μl,respectively;the sensitivity was 100% and 99.69%,the specificity was 100% and 94.73%,respectively;the average recovery rates were (101.89 ± 5.69)% and (103.74 ± 4.64)% respectively;the intra-batch coefficients of variance (CV) in detecting the genes were (13.14 ± 10.27)% and (19.18 ± 8.54)%,respectively,and the inter-batch CV were (14.35 ± 9.34)% and (18.31 ± 10.25) %,respectively.In human whole blood,the lowest detection limits of E.coli and C.albicans were 12 455.2 copies/ml and 800.3 cfu/ml,respectively;the average recovery rates were (111.60 ± 11.06) % and (99.96 ± 6.16) %,respectively;the intra-batch CV in detecting the genes were (11.02 ± 5.65) % and (8.14 ± 7.29)%,respectively,and the average inter-batch CV were (12.88 ± 7.59)% and (18.62 ± 9.14)%.Conclusions MRQ-PCR is a rapid,sensitive,specific,accurate,and reproducible method for simultaneous detection of E.coli and C.albicans genes in human whole blood,with sample-,cost-,and time-saving advantages.It is a promising technique for rapid differentiation between fungi and bacteria,which could help targeted administration and evaluation of antimicrobial agents,and help to assess the consequence of gut barrier damage and the efficacy of treatment.
5.The death indicators in hepatitis B e antigen-negative patients with liver cirrhosis.
Hui MA ; Fang GUO ; Lai WEI ; Al ET ;
Chinese Journal of Practical Internal Medicine 2006;0(S2):-
ChildA (4.54%,x~2= 21.992,P=0.000);Among the HBeAg positive patients,the mortality of MELD≥ 18 patients (17.24%) was higher than the MELDChild A (0%,x~2= 5.363,P=0.021).Multivariate analysis showed that death rate was independently predicted by old age,higher Child -Pugh and the ALT persistent elevation in hepatitis B e antigen-negative patients with liver cirrhosis (P
6.The correlation analysis between renal artery resistance index and renal function in patients with thrombotic microangiopathy
Shuang GAO ; Shuai MA ; Fang ZHANG ; Shubin GUO
Chinese Journal of Emergency Medicine 2016;25(1):73-78
Objective To explore the correlations between renal artery resistance index (RRI) and renal function in patients with thrombotic microangiopathy (TMA) so as to provide the clinical basis for predictable diagnosis and treatment in patients with acute kidney injury (AKI).Methods Patients diagnosed with thrombotic microangiopathy admitted to department of emergency of Peking Union Medical College Hospital between August 1st,2014 and March 31th,2015 were enrolled.Intrarenal arteries resistive index of right kidney was detected in all cases on admission by color Doppler flow image.The serum creatinine (SCR) and glomerular fihration rate (GFR) were measured at the same time.According to the diagnostic criteria of the guideline of Kidney Disease:Improving Global Outcomes 2012 (KDIGO-AKI 2012),patients were divided into non-AKI group and AKI group.The intergroup difference was compared and the correlation between RRI and SCR as well as between RRI and GFR were assessed.RRI,SCR and GFR were measured again at the most severe stage of kidney injury.The above index were marked as RRI*,SCR and GFRmin.At the same time,△RRI (RRI*-RRI),△SCR (SCRmax-SCR) and △GFR (GFR-GFRmin) were calculated.According to the stage classification of KDIGO-AKI 2012,36 patients diagnosed with AKI during their hospitalization were divided into KDIGO-1 group (n =10),KDIGO-2 group (n =10) or KDIGO-3 group (n =16).The intergroup difference of RRI* was compared and the correlation between △RRI and △SCR as well as between △RRI and △GFR were assessed.Results When RRI > 0.7 was used as the diagnostic threshold for AKI,the sensitivity was 92.3% and the specificity was 80.1%.RRI was positively correlated with SCR (r1 =-0.728,P<0.01;r2=-0.709,P<0.01) and negatively correlated with GFR (r1 =-0.728,P<0.01;r2 =-0.709,P <0.01) in all patients at the time of admission and the most severe stage of kidney injury.While there was a significant difference in the RRI* among KDIGO-1,KDIGO-2 and KDIGO-3 groups (F =37.979,P =0.Q01),and there was no significant difference in △RRI (F =0.634,P =0.537).The △RRI was not correlated with △GFR or △SCR.Conclusions RRI can be used as a marker for diagnosis of AKI and the evaluation of renal function in patients with TMA,but it is not helpful to reflect the trends of renal injury especially for the critically ill patients.
7.Effect of Wound Specialist Group on Management of Pressure Ulcer in Operation
Haiping MA ; Xiaoqing ZHANG ; Ting GUO ; Liang FANG
Chinese Journal of Rehabilitation Theory and Practice 2016;22(9):1104-1106
Objective To observe the effect of wound specialist group on preventing and managing pressure ulcer in operation. Methods The knowledge about pressure ulcer and ability of risk assessment for pressure ulcer of operating room nurses were tested and the incidenc-es of pressure ulcer were compared before and after the intervention of the wound specialist group. Results After the intervention of the wound specialist group, the passing rate of nurses in operating room increased from 58.23%to 94.11%in pressure ulcer theory (χ2=29.63, P<0.001) and from 56.96%to 95.29%in new type of dressings paste (χ2=33.80, P<0.001), and the rate of pressure ulcer risk factor assessment increased from 56.38%to 93.35%(χ2=5828.07, P<0.001), accuracy of assessment increased from 56.23%to 96.78%(χ2=4674.89, P<0.001). The incidence of intraoperative acute pressure ulcer decreased from 1.5‰to 0.22‰(χ2=17.59, P<0.001). Conclusion The intervention of wound specialist group may improve the awareness of assessing risk factors of pressure ulcer in the operation room and standardize the oper-ation to prevent pressure ulcer, and reduce the incidence of pressure ulcer in operation.
8.The predictive value of medical big data for the prognosis of elderly patients with pneumonia: based on the result of clinical database of a Beijing Chaoyang Hospital Consortium Chaoyang Emergency Ward
Peng LI ; Xingting ZHANG ; Fang YIN ; Litong GUO ; Chao MA ; Hongbo CAI ; Shubin GUO
Chinese Critical Care Medicine 2021;33(3):338-343
Objective:To explore a medical big data algorithm to screen the core indicators in clinical database that can be used to evaluate the prognosis of elderly patients with pneumonia.Methods:Based on the clinical database of a Beijing Chaoyang Hospital Consortium Chaoyang Emergency Ward in Beijing Chaoyang Hospital, Capital Medical University, patients with pulmonary infection were selected through the big data retrieval technology. According to the prognosis at the time of discharge, they were divided into death group and survival group. The general data of patients were collected, including gender, age, blood gas and laboratory indices. A computer language called Python was used to make batch calculations of key indicators that affect mortality in elderly patients with pneumonia. Logistic regression analysis was used to analyze the relationship between laboratory indicators and patients' prognosis. Receiver operating characteristic curve (ROC curve) was drawn to analyze the predictive value of screening method for patients' prognosis.Results:A total of 265 patients were included in the study, 64 died and 201 survived. The data of the first detection indexes of each patient after admission were collected, and 23 key indicators with significant differences were selected from 472 indicators: blood routine indicators ( n = 7), blood gas indicators ( n = 3), tumor markers indicators ( n = 3),coagulation related indicators ( n = 4), and nutrition and organ function indicators ( n = 6). ① The key indicators of blood gas in patients died of pneumonia: Cl - was 97-111 mmol/L in 51.6% (33 cases) of patients, lactic acid (Lac) was 0.5-2.5 mmol/L in 81.2% (52 cases) of patients, and H + was 0-46 mmol/L in 87.5% (56 cases) of patients. ② The key indicators of blood routine of patients died of pneumonia: hemoglobin count (Hb) of 46.9% (30 cases) patients was 80-109 g/L, the eosinophils proportions (EOS%) in 67.2% (43 cases) patients was 0.000-0.009, the lymphocytes proportions (LYM%) in 51.6% (33 cases) patients was 0.00-0.09, the red blood cell count (RBC) in 50.0% (32 cases) patients was (3.0-3.9)×10 12/L, the white blood cell count (WBC) in 54.7% (35 cases) patients was (0.0-9.9)×10 9/L, and the red blood cell volume distribution width coefficientof variability (RDW-CV) in 48.4% (31 cases) patients was 10.0%-14.9%, serum C-reactive protein (CRP) was 0.0-49.9 mg/L in 48.4% (31 cases) patients. ③ The key indicators of tumor markers in patients died of pneumonia: 76.6% (49 cases) of patients had negative free prostate specific antigen/total prostate specific antigen (FPSA/TPSA, the ratio was 0), 92.2% (59 cases) had cytokeratin 19 fragment (CYFRA21-1) between 0.0-11.0 μg/L, and 75.0% (48 cases) had carbohydrate antigen 125 (CA125) between 0-104 kU/L.④ The key coagulation indexes of patients died of pneumonia: 68.8% (44 cases) of patients had activated partial thromboplastin time (APTT) of 57-96 s, 73.4% (47 cases) of patients had D-dimer of 0-6 mg/L, 93.8% (60 cases) of patients had thrombin time (TT) of 14-22 s, and 89.1% (57 cases) of patients had adenosine diphosphate (ADP) inhibition rate of 0%-53%. ⑤ Nutrition and organ function key indicatorsin patients died of pneumonia: 92.2% (59 cases) of brain natriuretic peptide (BNP) in patients with 0, 46.9% (30 cases) of patients had prealbumin (PA) of 71-140 mg/L, 90.6% (58 cases) of the patients with uric acid (UA) for 21-41 μmol/L, 75.0% (48 cases) of the patients with albumin (Alb) to 10-20 g/L, 93.5% (60 cases) of patients had albumin/globulin ratio (A/G ratio) of 0-0.9, 84.4% (54 cases) of the patients with lactate dehydrogenase (LDH) from 0-6.68 μmol/L·s -1·L -1. ⑥ Logistic regression analysis and ROC curve analysis: Logistic regression analysis showed that PA and Lac were the prognostic factors. PA could reduce the risk of death by 0.9%, Lac could increase the risk of death by 69.4%; the area under ROC curve (AUC) between laboratory indicators and the prediction effect of death prediction model for patients' prognosis was 0.80, which showed that the classification effect was better, and this study model could better predict the prognosis of elderly patients with pneumonia. Conclusion:By using big data technology, 23 core indicators for evaluating the prognosis of elderly patients with pneumonia can be screened from the clinical database of emergency ward, which provides a new perspective and method for clinical evaluation of the prognosis of elderly patients with pneumonia.
9.Immunologic pathogenesis of multiple sclerosis.
Min-Fang GUO ; Ning JI ; Cun-Gen MA
Neuroscience Bulletin 2008;24(6):381-386
Multiple sclerosis (MS) is an autoimmune disease. The etiology and pathogenesis of MS remain unclear. At present, there are substantial evidences to support the hypothesis that genetics plays a crucial role. The people who have genetic predisposing genes easily develop immune-mediated disorder, probably in conjunction with environmental factors. The aim of this review is to describe recent observations regarding the immunologic pathogenesis of MS.
Animals
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Autoantibodies
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immunology
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Humans
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Models, Biological
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Multiple Sclerosis
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etiology
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immunology
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pathology
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Myelin Basic Protein
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metabolism