ObjectiveA rapid method for identification of chemical constituents in Baoyuantang reference sample was established in order to clarify the material basis of this formula. MethodBased on ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） and self-established database information， the chemical components in Baoyuantang were systematically characterized and identified. The chromatography was performed on a Waters ACQUITY UPLC HSS T3 column（2.1 mm×100 mm， 1.8 μm） with mobile phase of 0.1% formic acid aqueous solution（A）-0.1% formic acid acetonitrile solution（B） for gradient elution（0-3 min， 2%-19%B； 3-8 min， 19%B； 8-8.1 min， 19%-22%B； 8.1-14 min， 22%-29%B； 14-16 min， 29%B； 16-32 min， 29%-45%B； 32-32.1 min， 45%-90%B； 32.1-35 min， 90%-95%B； 35-36 min， 95%-98%B； 36-37 min， 98%-2%B； 37-40 min， 2%B）. Based on electrospray ionization（ESI）， continuum data format was collected in both positive and negative ion modes with a scanning range of m/z 50-1 500. Chemical constituents in the decoction of Baoyuantang were systematically analyzed by UNIFI 1.9.4 software matching， control comparison， The Encyclopedia of Traditional Chinese Medicine（ETCM） database search and literature reports. ResultA total of 229 components were identified under negative ion mode and 181 under positive ion mode， with a total of 322 components after removing duplicates， including 116 triterpene saponins， 66 flavonoids， 19 organic acids， 6 gingerphenols， 6 gingerols， 5 gingerones， 10 amino acids， 7 saccharides， 5 coumarins and 82 other components. Among them， 83， 141， 39， 35 and 38 components were attributed to Ginseng Radix et Rhizoma， Glycyrrhizae Radix et Rhizoma， Astragali Radix， Cinnamomi Cortex and Zingiberis Rhizoma Recens， respectively. ConclusionIn this study， the rapid characterization and identification of multi-class components in Baoyuantang was realized， and it was confirmed that the material basis of this formula was mainly triterpenoid saponins， flavonoids， gingerols and organic acids， and the chemical composition was attributed and analyzed， which provided a reference for the subsequent quality control research.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

OBJECTIVE: To investigate the factors related to renal impairment in patients with diabetic kidney disease (DKD) from the perspective of integrated Chinese and Western medicine. METHODS: Totally 492 patients with DKD in 8 Chinese hospitals from October 2017 to July 2019 were included. According to Kidney Disease Improving Global Outcomes (KDIGO) staging guidelines, patients were divided into a chronic kidney disease (CKD) 1-3 group and a CKD 4-5 group. Clinical data were collected, and logistic regression was used to analyze the factors related to different CKD stages in DKD patients. RESULTS: Demographically, male was a factor related to increased CKD staging in patients with DKD (OR=3.100, P=0.002). In clinical characteristics, course of diabetes >60 months (OR=3.562, P=0.010), anemia (OR=4.176, P<0.001), hyperuricemia (OR=3.352, P<0.001), massive albuminuria (OR=4.058, P=0.002), atherosclerosis (OR=2.153, P=0.007) and blood deficiency syndrome (OR=1.945, P=0.020) were factors related to increased CKD staging in patients with DKD. CONCLUSIONS Male, course of diabetes >60 months, anemia, hyperuricemia, massive proteinuria, atherosclerosis, and blood deficiency syndrome might indicate more severe degree of renal function damage in patients with DKD. (Registration No. NCT03865914).
Humans ; Male ; Diabetes Mellitus, Type 2 ; Diabetic Nephropathies ; Hyperuricemia ; Kidney ; Proteinuria ; Renal Insufficiency, Chronic/complications*

【Objective】 To investigate the application of different ureteral length measurement methods in the indwelling of double-J stent. 【Methods】 Clinical data of 260 patients with double-J stent indwelling after ureteroscopic surgery during Jul.2018 and Dec.2020 were prospectively analyzed. The patients were randomly divided into height calculation group, CT measurement group, KUB group and ureteroscopic measurement group. The length of ureter was calculated accordingly and the appropriate length of double-J stent was selected. KUB was performed on the first day after operation and before extubation to determine the position of double-J stent. The patients completed the ureteral stent-related symptom questionnaire (USSQ), urinary symptom score, lower urinary tract symptom (LUTS) score, pain score, hematuria score, and quality of life score before and after double-J catheter placement. 【Results】 There were no significant differences in age, gender, height, side of stent and urinary symptom score among the four groups (P>0.05). The average lengths of the ureters measured by the four methods were (21.5±1.0) cm, (21.5±1.8) cm, (23.8±1.3) cm and (21.7±1.8) cm, respectively. There were no significant differences among the height calculation group, CT measurement group and ureteroscope group, but there was significant difference between the three groups and the KUB group. The ideal ureteral stent length indwelling ratio in the ureteroscopic group was 76.9%, which was better than that in the other three groups. Postoperative indwelling time was 7-42 d (mean 29.8 d). The USSQ score of the ureteroscopic group before extubation was (14.1±1.5), which was lower than that of the other three groups (P<0.05). The ureteroscopic group was better than the other three groups in the comparison of frequency and urgency of urination, nocturia, hematuria, quality of life score, and pain score (P<0.05). 【Conclusion】 Intraoperative ureteroscopic measurement of the ureteral length is a simple and feasible method in guiding the indwelling of double-J stent to reduce ureteral stent related symptoms.

Objective: To explore the change of hearing threshold of workers exposed to noise, establish an individual-based hearing loss early warning model, accurately and differentiated the health of workers exposed to noise. Methods: In September 2019, all physical examination data of 561 workers exposed to noise from an enterprise were collected since their employment. Three indicators of average hearing threshold of the better ear, namely, at high frequency, 4000 Hz and speech frequency, were constructed. The generalized estimating equation (GEE) was used to adjust gender and age and establish the warning model of each indicator. Finally, sensitive indicators and warning models were screened according to AUC and Yoden index. Results: Among the 561 workers exposed to noise, 26 (4.6%) workers had hearing loss. The sensitivity indicators were the average hearing threshold at speech frequency ≥20 dB, high frequency ≥30 dB and 4000 Hz ≥25 dB. The AUC of each index was 0.602, 0.794 and 0.804, and the Youden indexes were 0.204, 0.588 and 0.608, respectively. In GEE of hearing loss warning models, high-frequency hearing threshold ≥20 dB and 4000 Hz hearing threshold ≥25 dB were the optimal models, with AUC of 0.862. Conclusion: Combined with the changes of individual hearing threshold over the years, can accurately assess the risk of individual hearing loss of workers exposed to noise.
Humans ; Hearing Loss, Noise-Induced/diagnosis* ; Noise, Occupational/adverse effects* ; Audiometry ; Deafness ; Employment ; Occupational Exposure/adverse effects* ; Occupational Diseases/diagnosis*

ObjectivesTo investigate the ultrasound features and etiological distribution of non-immune hydrops fetalis. MethodsA total of 232 cases of diagnosed non-immune hydrops fetalis were recruited from December 2012 to January 2019 in The First Affiliated Hospital of Sun Yat-sen University. The ultrasound features and the results of prenatal diagnosis of hydrops fetalis were retrospectively analyzed. Results1. Non-immune hydrops fetalis was often associated with TTTS stage Ⅳ （50/232， 21.55%）； skin edema （159/232， 68.53%） was the mostly identified fluid collection； the most frequently combined malformations were anomalies of the cardiovascular system （15/232， 6.47%）. 2. Totally 185 cases accepted further prenatal genetic test and the abnormal detection rate was 40.54% （75/185）， while the abnormal detection rate of chromosome examination （including chromosome karyotype analysis and CMA） was 26.49% （49/185）. The abnormal detection rate of isolated NIHF was lower than that of non-isolated NIHF （32.64% vs 68.29%， p< 0.05）. Chromosome karyotype analysis was only performed in 57 cases， and abnormalities were detected in 14 cases （24.56%）. CMA only was performed in 31 cases and abnormalities were detected in 13 cases （41.94%）. Both Chromosome karyotype analysis and CMA were performed in 88 cases. Variation was detected in 22 cases （25%）， 3 cases （3.41%） showed abnormalities detected only by Chromosome karyotype analysis， while 6 cases （6.82%） had abnormalities detected only by CMA. The extra detection rate of CMA was 3.41% （3 cases） compared with Chromosome karyotype analysis. Variation was both detected by Chromosomal karyotype analysis and CMA in 13 cases （14.77%）. In this study， 30 cases of variation were detected by Chromosomal karyotype analysis （30/145， 20.69%）. The most common was 45， X （19/145， 13.10%）， followed by 47， XX， + 21 / 47， XY， + 21 （3/145， 2.07%）. CMA detected 32 cases of variation， including 12 cases of CNVs （10.08%）， 4 of which were pathogenic CNVs （3.36%）. Genetic analysis detected abnormalities in 26 of 27 cases. The most common abnormality in gene detection cases was αThalassemia --^SEA/--^SEA （21/26， 80.77%）， followed by PTPN11 gene mutation （2/26，7.69%）. 3. The causes of genetically normal NIHF included fetal-maternal blood transfusion， infection and unexplained anemia. ConclusionsThe most common etiology of non-immune hydrops fetalis is TTTS stage Ⅳ and the most frequently associated malformations are cardiovascular system abnormalities in our center. The most common abnormal karyotypes of non-immune hydrops fetalis are 45， X. CMA offers extra detection rate compared with Chromosome karyotype analysis in NIHF. The most common monogenic disease is αThalassemia--^SEA/--^SEA. The genetic abnormality detection rate of non-isolated NIHF is higher.

Objective: To analyze the changing trend and characteristics of lymphocyte-platelets ratio (LPR) of early stage in patients with extensive burns, and to explore the prognostic significance of LPR. Methods: A retrospective case series study was conducted. From January 2008 to December 2018, 244 patients with extensive burns were admitted to the First Affiliated Hospital of Naval Medical University, including 181 males and 63 females, aged (44±16) years. The total burned area of patients was 60.0% (42.0%, 85.0%) total body surface area. Platelet and lymphocyte test results of patients were collected on the 1^st, 2^nd and 3^rd day after admission, and LPR of patients was calculated to analyze the changing trend of the three days after admission. Univariate and multivariate logistic regression analysis were conducted to investigate the risk factors or independent risk factors for death of patients, including age, sex, total burn area, area of full-thickness burns and above, inhalation injury, and LPR. According to the 1^st day's LPR after admission of patients, the receiver operating characteristic (ROC) curve predicting death of patients was drawn to find the optimal value of LPR. Patients were divided into high LPR group (n=136) and low LPR group (n=108) based on the optimal value of LPR, and the clinical data of total burn area, area of full-thickness burns and above, inhalation injury, tracheotomy, offline time of patients within 28 days, and mortality in the 2 groups were compared. The surviving curve of patients was drawn by Kaplan-Meier method to predict the difference of the 90-day survival rate between the two groups of patients. Data were statistically analyzed with Student's t test, Mann-Whitney U test, and chi-square test. Results: Within 3 days of admission, the LPR of patients showed a time-dependent upward trend. LPR of patients on the 2^nd and 3^rd day after admission was 8.6 (5.3, 14.4) and 8.6 (4.9, 13.7), respectively, which were significantly higher than the 1^st day's 6.3 (4.2, 9.8), with Z values of -4.25 and -3.43, respectively, P<0.01. Univariate logistic regression analysis showed that age, total burn area, area of full-thickness burns and above, inhalation injury, and LPR were all risk factors for death of patients (with odds ratios of 1.03, 1.73, 1.31, 4.74, and 3.11, respectively, 95% confidence intervals of 1.01-1.06, 1.40-2.13, 1.21-1.42, 1.62-13.86, and 1.41-6.88, respectively, P<0.01). Multivariate logistic regression analysis showed that age, area of full-thickness burns and above, and LPR were independent risk factors for death of patients (with odds ratios of 1.06, 1.36, and 2.85, respectively, 95% confidence intervals of 1.03-1.09, 1.19-1.55, 1.02-7.97, P<0.05 or P<0.01). The area under ROC curve of the 1^st day's LPR, predicting death of patients, was 0.61 (with 95% confidence interval of 0.51-0.71, P<0.05), and the optimal predicted value was 5.8 with corresponding sensitivity of 77% and specificity of 52% respectively. The total burn area, area of full-thickness burns and above, rates of incidence of inhalation injury, tracheotomy, and mortality of patients in high LPR group were significantly higher than those in low LPR group (with Z values of -3.06 and -3.19, χ² values of 5.42, 11.64, and 8.45, respectively, P<0.05 or P<0.01). The offline time of patients within 28 days in high LPR group was significantly shorter than that in low LPR group (Z=-2.98, P<0.01). Kaplan-Meier survival analysis showed that the 90-day survival rate of admission of patients in low LPR group was significantly higher than that of patients in high LPR group (χ²=8.24, P<0.01). Conclusions: The early LPR of patients with extensive burns showed a time-dependent upward trend. The LPR on the first day after admission that is closely correlated with total burn area, area of full-thickness and deeper burns, inhalation injury, tracheotomy, and mortality of patients, is an independent risk factor for the prognosis of patients with extensive burns. The first day's LPR after admission is significantly correlated with the 90-day survival rate of patients, which can be used as an evaluation index for the severity of extensive burns.
Adult ; Blood Platelets ; Burns ; Female ; Humans ; Lymphocytes ; Male ; Middle Aged ; Prognosis ; ROC Curve ; Retrospective Studies

Objective: To investigate the daily variation of LPR and the significance of 48-hour oropharyngeal pH monitoring in the diagnosis of LPRD. Methods: 72 subjects with suspected LPRD who were treated in our department from June 2018 to June 2021 were included. All patients were hospitalized to complete continuous 48-hour oropharyngeal Dx-pH monitoring. The consistency of Ryan index and W index and the correlation of various reflux parameters between the first and second 24-hour were compared. SPSS 24.0 was used for statistical analysis. Results: All 72 subjects successfully completed 48-hour oropharyngeal Dx-pH monitoring. Ryan index was positive in 11 cases (15.2%) in the first 24-hour, in 17 cases (23.6%) in the second 24-hour, in 5 cases (6.9%) both first and second, and in 23 cases (31.9%) in either 24-hour, Kappa=0.211 (P=0.064), 18 cases (25%) had inconsistent results of the first 24-hour and the second 24-hour, and there was no significant difference in the positive rate between the first and second (P=0.234). The number of positive cases in 48-hour monitoring increased by 109.1% compared with 24-hour monitoring.For W index, 49 cases (68.1%) were positive in the first 24-hourf 53 cases (73.6%) were positive in the second 24-hour, 42 cases (58.3%) were positive both first and second, and 58 cases (80.6%) were positive in either 24-hour, Kappa=0.477 (P<0.001), 16 cases (22.2%) had inconsistent results of the first and second, and there was no significant difference in the positive rate between the first and second (P=0.804). The number of positive cases in 48-hour monitoring increased by 18.4% compared with 24-hour monitoring. There was no significant difference in all the reflux parameters of first and second (P>0.05). The correlation comparison showed that the correlation of various reflux parameters in the upright position was lower than that in the supine position. Conclusion: Laryngeal reflux has daily variability. Extending the monitoring time of Dx-pH to 48-hour can help reduce the missed diagnosis caused by daily variability; the use of W index can reduce the influence of daily variability on the diagnostic results of LPRD.
Humans ; Laryngopharyngeal Reflux/diagnosis* ; Hydrogen-Ion Concentration ; Hypopharynx ; Larynx

Traditional Chinese medicine （TCM） is a great treasure house， exhibiting unique advantages in the treatment of some difficult and critical diseases. The incidence rate of membranous nephropathy has increased year by year in recent years， and has become the first cause of primary glomerular diseases. However， its pathogenesis is not clear. Modern medicine often uses immunosuppressive therapy， but it often faces the problems of high side effects and high recurrence rate. The China Association of Chinese Medicine （CACM） invited clinical experts of TCM and western medicine to fully discuss membranous nephropathy， which was later confirmed to be one of the clinical diseases responding specifically to TCM. Apart from summarizing the pathogenesis and clinical diagnosis and treatment of membranous nephropathy in both TCM and western medicine， this paper also detailed TCM cognition， syndrome differentiation， and therapeutic schemes of membranous nephropathy， aiming to improve the clinical remission rate of membranous nephropathy and provide reference for its clinical treatment.

OBJECTIVE: To obtain the subtypes of the clinical hypertension population based on symptoms and to explore the relationship between hypertension and comorbidities. METHODS: The data set was collected from the Chinese medicine (CM) electronic medical records of 33,458 hypertension inpatients in the Affiliated Hospital of Shandong University of Traditional Chinese Medicine between July 2014 and May 2017. Then, a hypertension disease comorbidity network (HDCN) was built to investigate the complicated associations between hypertension and their comorbidities. Moreover, a hypertension patient similarity network (HPSN) was constructed with patients' shared symptoms, and 7 main hypertension patient subgroups were identified from HPSN with a community detection method to exhibit the characteristics of clinical phenotypes and molecular mechanisms. In addition, the significant symptoms, diseases, CM syndromes and pathways of each main patient subgroup were obtained by enrichment analysis. RESULTS: The significant symptoms and diseases of these patient subgroups were associated with different damaged target organs of hypertension. Additionally, the specific phenotypic features (symptoms, diseases, and CM syndromes) were consistent with specific molecular features (pathways) in the same patient subgroup. CONCLUSION The utility and comprehensiveness of disease classification based on community detection of patient networks using shared CM symptom phenotypes showed the importance of hypertension patient subgroups.