1.Assessment of disease severity by serum IMA levels in patients with COPD
Yulei HOU ; Xiaoyun BI ; Te CHEN ; Xiaoling DENG ; Liping ZHANG
Chongqing Medicine 2017;46(19):2642-2643,2648
Objective To explore the value of serum ischemia modified albumin (IMA) level in assessment of disease severity for patients with chronic obstructive pulmonary disease (COPD).Methods A total of 81 cases of patients with COPD treated in our hospital from September 2015 to March 2016 were selected (COPD group),including 51 cases of patients with acute exacerbation of COPD and 30 cases of patients with stable of COPD.Meanwhile,30 volunteers without COPD were collected as control group.Serum levels of IMA were detected and compared among different groups.Correlations between serum level of IMA and serum level of myoglobin (MYO),troponin T (TNT) and C reactive protein (CRP),and white blood cell (WBC) count were analyzed respectively.A receiver operating characteristic (ROC) curve was also plotted to investigate the diagnostic value of serum IMA level for diagnosing COPD.Results Serum level of IMA in the COPD group was higher than that in the control group [84.1 (79.1,88.5) U/L vs.73.1 (70.2,75.1)U/L],serum level of IMA in patients with acute exacerbation of COPD was higher than that of patients with stable of COPD [85.5 (82.3,89.4)U/L vs.78.1 (75.9,83.0)U/L],serum levels of IMA in patients with acute exacerbation and stable of COPD both were higher than that in the control group,there were statistically significant differences (P<0.05).The serum level of IMA was positively related with serum level of MYO in patients with COPD (r=0.554,P =0.00).ROC curve indicated when the cutoff value was set as 76.55 U/L,the sensitivity and specificity of serum level of IMA for diagnosing COPD was 88.5% and 80.0% respectively,and area under the ROC curve was 0.88.Conclusion Serum level of IMA could be a valuable indicator for clinically assessing disease severity of patients with COPD,which deserves further study through expanding samples size.
2.The application of different GFR estimation equations in preoperative patients with renal cell carcinoma
Yan WU ; Hailan SHEN ; Yulei HOU ; Xiaoyun BI ; Huajian XU ; Biao XU ; Te CHEN
Chongqing Medicine 2017;46(8):1066-1069
Objective To evaluate the diagnostic performances of seven estimation formulas for glomerular filtration rate (GFR) in pre-operative patients with renal cell carcinoma.Methods A total of 386 pre-operative patients with renal cell carcinoma in the first affiliated hospital of Chongqing medical university from January 2012 to October 2014 were selected.All the patients' GFRs were measured by the renal dynamic imagingwith 99mTc-DTPA as reference (rGFR) and the seven GFR estimation equations (eGFR) were compared with the rGFR respectively.Their correlations and consistencies were observed with spearman correlation analysis and Bland and Altman analysis.The diagnostic sensitivity,specificity and likelihood ratios were calculated and the eGFR accuracies were assessed with receiver operator curve (ROC) analysis.Results The correlations between the rGFR and eGFRs were significantly (P<0.001).In addition,CKD-EPI-Asian Crea and Ruijin formula were more accurate than others in different stages with larger ROC area in diagnosing renal cell carcinoma.Conclusion There were significant correlations between the eGFRs and rGFR,but some deviations existed.CKD-EPI-Asian Crea and Ruijin formula were more suitable for assessment of eGFR of pre-operative patients with renal cell carcinoma.However,both of these equations had a few limitations.
3.Online pharmaceutical process analysis of Chinese medicine using a miniature mass spectrometer:Extraction of active ingredients as an example
Wangmin HU ; Junling HOU ; Wenjing LIU ; Xuan GU ; Yulei YANG ; Hongcai SHANG ; Mei ZHANG
Journal of Pharmaceutical Analysis 2023;13(5):535-543
The automation of traditional Chinese medicine(TCM)pharmaceuticals has driven the development of process analysis from offline to online.Most of common online process analytical technologies are based on spectroscopy,making the identification and quantification of specific ingredients still a challenge.Herein,we developed a quality control(QC)system for monitoring TCM pharmaceuticals based on paper spray ionization miniature mass spectrometry(mini-MS).It enabled real-time online qualitative and quantitative detection of target ingredients in herbal extracts using mini-MS without chromatographic separation for the first time.Dynamic changes of alkaloids in Aconiti Lateralis Radix Praeparata(Fuzi)during decoction were used as examples,and the scientific principle of Fuzi compatibility was also investigated.Finally,the system was verified to work stably at the hourly level for pilot-scale extraction.This mini-MS based online analytical system is expected to be further developed for QC applications in a wider range of pharmaceutical processes.
4.Diagnostic value of GP73, AFP and AFU combined detection in early hepatocelluar carcinoma
Te CHEN ; Xiaoyun BI ; Huajian XU ; Hailan SHEN ; Yulei HOU ; Detao LI ; Liping ZHANG ; Yan WU
Chongqing Medicine 2017;46(35):4923-4926,4929
Objective To evaluate the diagnostic value of combination detection of alpha-fetoprotein (AFP),Golgi protein 73 (GP73) and a-L-fucosidase (AFU) for early hepatocellular carcinoma (HCC).Methods A total of 222 patients with liver diseases in this hospital from March 2016 to March 2017 were collected and divided into the early stage HCC group (74 cases),late stage HCC group (27 cases),liver cirrhosis group (74 cases) and chronic hepatitis B group (47 cases),and contemporaneous 49 individuals undergoing physical examination were selected as the healthy control group.The levels of serum GP73,AFP and AFU were detected in each group.The ROC curve was drawn.The diagnostic values of single detection and combined detection of 3 indicators for diagnosing early HCC were evaluated.Results The serum GP73,AFP and AFU levels in the early stage HCC group were significantly higher than those in the liver cirrhosis group,chronic hepatitis B group and healthy control group (P<0.05).In the HCC screening,the area under the curve (AUC) of AFP ROC curve for singly diagnosing HCC was 0.910(95%CI:0.864-0.936),AUC of GP73 and AFP combined diagnosis was maximal [0.925 (95% CI:0.889-0.950)] and the sensitivity was the highest (95.0%).In the differentiation diagnosis between early HCC and liver cirrhosis,AUC of GP73 for single diagnosis was maximal [0.842(95%CI:0.746-0.879)] and the specificity was the highest (86.5%);AUC of GP73 and AFU combined diagnosis was maximal[0.901(95%CI:0.788-0.907)].Conclusion GP73 and AFP for combined detection of HCC can increase the diagnostic efficiency of HCC screening.GP73 and AFU combined diagnosis can increase the diagnosis efficiency of early HCC,which has an important significance for the differentiation diagnosis between early HCC and liver cirrhosis.
5.Expression level and clinical significance of FSTL1 in serum of patients with acute coronary syndrome
Te CHEN ; Xiaoyun BI ; Huajian XU ; Yulei HOU ; Hailan SHEN ; Detao LI ; Liping ZHANG ; Yan WU
International Journal of Laboratory Medicine 2018;39(8):942-946
Objective To observe the level changes and clinical diagnostic value of follicular statin -1 (FSTL1)in the serum of patients with different types of acute coronary syndrome(ACS).Methods Collected the clinical diagnosis of acute coronary syndrome patients 98 cases,which contained ST segment elevation my-ocardial infarction(STEMI)in 34 cases,non ST elevation myocardial infarction(NSTEMI)in 28 cases,unsta-ble angina pectoris(UA)in 36 cases,while the examination resuLts of healthy people as a control group of 20 cases.The Venous blood was collected and the FSTL1 levels of the 4 groups were detected by ELISA.Results The levels of Serum FSTL1 in ACS group was significantly higher than that in normal control group(P<0.05).Serum FSTL1 of the ACS group were significant correlated with Gensini score,cTNT,hs-CRP(related coefficient:0.210,0.236,0.219 separately).The AUC of FSTL1 was 0.910(95% CI:0.832 -0.988),which was lower than cTNT.The best cut-off value of FSTL1 as a biomarker was 5.65 μg/L(specificity:84.2% and sensitivity:77.5%).Moreover the combination of FSTL1,HDL and cTNT exhibited significantly higher AUC=0.945(95% CI:0.909 -0.981)than did other biomarkers alone or pair combinations.Conclusion In pa-tients with acute coronary syndrome,serum FSTL1 levels has a positive correlation with the degree of coro-nary stenosis and inflammation reaction,and has certain value in the diagnosis of acute coronary syndrome.
6.Clinical application progress of platelet-rich plasma in facial aesthetics
Ya HOU ; Xiaoyun WEN ; Yulei LI ; Liang ZHOU ; Xiansong FANG
Chinese Journal of Blood Transfusion 2022;35(12):1274-1278
Platelet-rich plasma (PRP) is a kind of autologous blood product. It is a platelet concentrate extracted from autologous blood through centrifugation or apheresis process. It is generally believed that the platelet concentration in PRP should be 4-8 times of the platelet count in the whole blood. Platelets with high concentration can release a variety of growth factors and media after activation, which is conducive to tissue repair and regeneration. PRP has been used in regenerative medicine for more than 30 years, and has achieved good results. In recent years, it has also been widely used in facial aesthetics, involving acne, skin aging, hair loss, chloasma and other fields. In this review, we are not only emphasized the preparation and use of PRP, but also outlined the application progress of PRP in facial aesthetics.
7.Establishment of random survival forest model of the prognosis of anaplastic thyroid cancer and its predictive efficacy analysis
Feifei QIAO ; Qing HOU ; Yulei WU
Cancer Research and Clinic 2023;35(8):596-604
Objective:To investigate the factors influencing the prognosis of anaplastic thyroid cancer (ATC) and to evaluate the application value of established random survival forest (RSF) model in the prognosis prediction of ATC.Methods:A total of 707 ATC patients diagnosed by histopathology in the Surveillance, Epidemiology and End Results (SEER) database of the National Cancer Institute from 2004 to 2015 were selected and randomly divided into the training set (495 cases) and the validation set (212 cases). Univariate Cox regression risk model was used to analyze the related factors affecting overall survival (OS) of patients in the training set. The multivariate Cox proportional risk model based on the minimum Akaike information criterion (AIC) was used to analyze the above variables and then the variables were screened out. The traditional Cox model for predicting OS was constructed based on the screened variables. The RSF algorithm was used to analyze the variables with P < 0.05 in the univariate Cox regression analysis, and 5 important features were selected. Multivariate Cox proportional risk model was selected based on the minimum AIC. Then the RSF-Cox model for predicting OS was constructed by using screened variables. The time-dependent receiver operating characteristic (tROC) curve and the area under the curve (AUC), calibration curve, decision curve and integrated Brier score (IBS) in the training set and the validation set were used to evaluate the prediction performance of the models. Results:Univariate Cox regression analysis showed that age, chemotherapy, lymph node metastasis, radiotherapy, surgical method, tumor infiltration degree, tumor number, tumor diameter and diagnosis time were factors affecting the prognosis of ATC (all P < 0.05). Multivariate Cox regression analysis based on minimal AIC (4 855.8) showed that younger age (61-70 years vs. > 80 years: HR = 0.732, 95% CI 0.56-0.957, P = 0.023; ≤ 50 years vs. > 80 years: HR = 0.561, 95% CI 0.362-0.87, P = 0.010), receiving chemotherapy (receiving or not: HR = 0.623, 95% CI 0.502-0.773, P < 0.001), receiving radiotherapy (receiving or not: HR = 0.695, 95% CI 0.559-0.866, P = 0.001), receiving surgery (lobectomy, no surgery or unknown: HR = 0.712, 95% CI 0.541-0.939, P = 0.016; total resection or subtotal resection vs. no surgery or unknown: HR = 0.535, 95% CI 0.436-0.701, P < 0.001), and tumor diameter (≤ 2 cm vs. > 6 cm: HR = 0.495, 95% CI 0.262-0.938, P = 0.031; > 2 cm and ≤ 4 cm vs. > 6 cm: HR = 0.714, 95% CI 0.520-0.980, P = 0.037; > 4 cm and ≤ 6 cm vs. > 6 cm: HR = 0.699, 95 % CI 0.545-0.897, P = 0.005) were independent protective factors for OS of ATC patients. Lymph node metastasis (N 1 unknown vs. N 0: HR = 1.664, 95% CI 1.158-2.390, P = 0.006; N 1b: HR = 1.312, 95% CI 1.029-1.673, P = 0.028), more aggressive tumor infiltration degree (group 3 vs. group 1: HR = 1.492, 95% CI 1.062-2.096, P = 0.021; group 4 vs. group 1: HR = 1.636, 95% CI 1.194 - 2.241, P = 0.002) were independent risk factors for OS of ATC patients. Although diagnosis time was not statistically significant (2010-2015 vs.2004-2009: HR = 1.166, 95% CI 0.962-1.413, P = 0.118), the inclusion of it could improve the efficacy of the traditional Cox model. RFS algorithm was used to select out 5 important variables: surgical method, tumor diameter, age group, chemotherapy, and tumor number. Multivariate Cox regression analysis based on minimum AIC (4 884.6) showed that chemotherapy (receiving or not: HR = 0.574, 95% CI 0.476-0.693, P < 0.001), surgical method (lobectomy, no surgery or unknown: HR = 0.730, 95% CI 0.567-0.940, P = 0.015; total resection or subtotal resection vs. no surgery or unknown: HR = 0.527, 95% CI 0.423-0.658, P < 0.001), tumor diameter (≤ 2 cm vs. > 6 cm: HR = 0.428, 95% CI 0.231-0.793, P = 0.007; > 2 cm and ≤ 4 cm vs. > 6 cm: HR = 0.701, 95% CI 0.513-0.958, P = 0.026; > 4 cm and ≤ 6 cm vs. > 6 cm: HR = 0.681, 95% CI 0.536-0.866, P = 0.002) were independent factors for OS of ATC patients. RSF-Cox model was constructed based on 3 variables. The tAUC curve analysis showed that RSF-Cox model for predicting the 6-month, 12-month, and 18-month OS rates were 93.56, 92.62, and 90.80, respectively in the training set, and 93.05, 92.47, and 90.20, respectively in the validation set; in the traditional Cox model, the corresponding OS rates were 89.00, 87.76, 85.24, respectively in the training set, and 86.22, 83.68, 82.86, respectively in the validation set. When predicting OS rate at 6-month, 12-month and 18-month, the calibration curve of RSF-Cox model was closer to 45° compared with that of traditional Cox model, and the clinical net benefit of decision curve in RSF-Cox model was higher than that in traditional Cox model. The IBS of RSF-Cox model (0.089) was lower than that of traditional Cox model (0.111). Conclusions:The RSF model based on chemotherapy, surgical method and tumor diameter can effectively predict the OS of ATC patients.