Analysis of the long-term prognosis and the influencing factors of the patients with renal damage in Sjgren syndrome by BAI Li-jie, LI Hong-bin

“…Objective To analyze the long-term prognosis and influencing factors of renal involvement in Sjgren syndrome(RISS).Methods A total of 104 patients with RISS in Department of Nephrology in our hospital from January 2005 to January 2010 were selected as the research objects,and all wer given immunosuppressive agents.To assess whether doubled blood creatinine as standard can accurately evaluate the long-term prognosis of the patients,good prognosis group and poor prognosis group were set up,and the influencing factors were analyzed.Results During the follow-up period of 2-10 years,the incidence of poor prognosis was 18.27%.Univariate analysis showed that the poor prognosis of RISS was associated with female,serum creatinine,globulin,albumin,serum IgG,chronic renal tubulointerstitial lesions.Multiple Logistic regression revealed that globulin,albumin and serum IgG were the independent risk factors for poor prognosis of RISS.Pearson correlation analysis indicated that globulin,albumin and serum IgG levels were positively correlated with serum creatinine level(P<0.05).ROC curve analysis demonstrated that the optimal cutoff of globulin to predict renal damage was 0.66g/24h(AUC=0.825,sensitivity 0.826,specificity 0.764),that of albumin was54.36g/24h(AUC=0.845,sensitivity 0.816,specificity 0.762),and that of IgG was 34.72g/L(AUC=0.812,sensitivity 0.806,specificity 0.752).Conclusions The globulin,albumin and serum IgG are positively correlated with the incidence of poor prognosis,suggesting that globulin,albumin and serum IgG are of early assessment value for poor prognosis in RISS.…”
Get full text

AN EMPIRICAL ANALYSIS OF THE IMPACT OF ECONOMIC AND NON-ECONOMIC FACTORS OF CAPITAL FLIGHT: AN EXAMPLE OF THE ECONOMETRIC MODEL by E. I. Markovskaya, A. V. Belov

Get full text

Changes of serum tumor marker levels and analysis of risk factors in patients with chronic kidney disease by YU Jun-nan, LIU Cai-xia, ZHAO Nan, SUN Dong

“…Objective To investigate whether the expression of serum tumor markers in patients with chronic kidney disease(CKD)has changed,and to analyze the risk factors influencing the changes.Methods The serum tumor markers[including α-fetoprotein(AFP),carcinoembryonic antigen(CEA),CA125,CA199,CA153,TPSA],albumin(Alb),serum creatinine,hemoglobin levels,age and glomerular filtration rate(GFR)of 427 CKD patients and 420 healthy medical examiners from the Affiliated Hospital of Xuzhou Medical University were collected and compared for differences between the two groups.The relevant factors that lead to changes in tumor markers in patients with CKD were screened out by univariate analysis,and multi-factor logistic regression analysis were used to identify risk factors for elevated tumor indicators.Results There was no significant difference in serum TPSA between the CKD group and the healthy control group(P<0.05).The AFP level was lower than that of the healthy control group,and the difference was statistically significant(P<0.01).The levels of CEA,CA125,CA199,and CA153 were higher than those in the healthy control group,with statistically significantdifferences(P<0.01).Logistic regression analysis showed that decreased glomerular filtration rate was a risk factor for CEA elevation,serum albumin and hemoglobin decline were risk factors for CA125 elevation,serum albumin decrease was a risk factor for CA199 and CA153 elevation,and age was a risk factor for elevated TPSA.Conclusions The application value of TPSA in CKD patients is the same as that in the normal population.In the diagnosis of related tumors based on serum tumor indicators,a comprehensive analysis must be done in conjunction with factors such as patients’ age,renal function,serum albumin,and hemoglobin levels.…”
Get full text

Analysis of arteriovenous fistula failure factors and construction of nomogram prediction model in patients with maintenance hemodialysis by Shengjie Guo, Yurou Wang, Chao Zou, Liping Liu, Tingting He, Chengcheng Sun, Xiaosu Gan, Xiaofang Tian, Liying Yuan

“…Lasso regression analysis was employed to identify independent risk factors, and a nomogram model was developed to predict the risk of AVF failure in MHD patients. …”
Get full text

Comparison of the quality of logistic regression models and a classification tree in predicting hospital mortality in elderly patients with non-ST-elevation myocardial infarction by K. G. Pereverzeva, S. S. Yakushin, N. N. Peregudova, M. V. Mishutina

“…Based on the construction of a binary logistic regression, it was found that the factors increasing hospital mortality were cardiogenic shock (CS): odds ratio (OR) 47.55; 4.00-589.16; p=0.002; new-onset atrial fibrillation: OR 6.45; 1.39-30.42; p=0.018; and the number of points on the GRACE scale: for each increase by 1 point: OR 1.03; 1,00-1,05; p=0.046. …”
Get full text

Bayesian network analysis of individual-level factors associated with bullying among high school students by Yanmei Feng, Xinyu Luo, Xinrui Li, Yilin Liu, Yong Zeng

“…Methods A cross-sectional survey with a structured questionnaire was administered to 1,401 high school students in Yunnan Province to assess their levels of stress, core self-evaluations, dual mode of self-control, depressive symptoms, and bullying experiences. The data were analyzed using chi-square tests, multifactor logistic regression, and Bayesian network models. …”
Get full text

Latent profile analysis of nutrition knowledge, attitudes, and practices and their influencing factors in maintenance hemodialysis patients by Yuan Xu, Zihan Chen, Xinlong Tang, Xiaojie Xia, Nina Zhao, Sen Zou

“…Chi-square tests and multivariate logistic regression were used to analyze the distribution differences and influencing factors among different KAP categories. …”
Get full text

Analysis of latent class and influencing factors of medication adherence in elderly patients with multiple chronic conditions by Zhang Meiru, Ma Lina, Yang Shenshen, Wang Ning, Wang Weihua

“…Multiple logistic regression model was used to analyze the influencing factors of the potential category. …”
Get full text

Analysis of Sirolimus Blood Concentration and Influencing Factors in Pediatric Patients: Implications for Individualized Drug Therapy by Xiaolin Xu, Xueting Mao, Bo Liu, Yixin Sun, Xiaoling Cheng, Xiaoling Wang, Huawei Mao

“…The multiple linear regression model was used to examine the impact of factors influencing pharmacokinetics and pharmacodynamics on the C/D. …”
Get full text

Consumers’ Awareness on Organic Food: Case of Urban Sri Lanka by S.H. Pushpa Malkanthi, S.D. Dilini Rathnachandra, W.A. Ruwani N. Weerasinghe

“…The results of the regression analysis highlighted that the consumers’ awareness is significantly affected by factors such as gender, marital status, education, and monthly income. …”
Get full text

Chinese nurses’ ability to communicate bad news: a latent profile analysis and influencing factors by Yao Li, Xue Dong, Zezhou Wang, Zhen Yang, Xutong Zheng, Xiujie Jiang, Yan Liu, Aiping Wang

“…Abstract Aim To investigate the current status of the ability to communicate bad news through latent profile analysis (LPA), identify potential subgroups and their population characteristics, and analyze the influencing factors of different categories. …”
Get full text

Does the human developmental factors of the parents sustain the learning quality of the undergraduates? - A critical Analysis by Aditya Prakash, R. Hariharan, Gynendra Kumar Rout

Get full text

Fetal outcomes and associated factors of antepartum hemorrhage in Ethiopia: A systematic review and meta-analysis. by Gemeda Wakgari Kitil, Adamu Ambachew Shibabaw, Eyob Getachew, Amlaku Nigusie Yirsaw, Berihun Agegn Mengistie, Gebeyehu Lakew, Gebrehiwot Berie Mekonnen, Solomon Seyife Alemu, Firomsa Bekele, Lema Fikadu Wedajo, Addisalem Workie Demsash, Wubishet Gezimu, Mohammedamin Hajure Jarso, Geleta Nenko Dube, Fikadu Wake Butta, Alex Ayenew Chereka

“…Despite the gravity of this condition, there is a lack of synthesized evidence on its prevalence and the associated risk factors specific to the Ethiopian context. This systematic review and meta-analysis aim to consolidate existing research on the fetal outcomes of APH and identify the key factors contributing to its incidence and severity in Ethiopia.…”
Get full text

Risk factor analysis and nomogram development for advanced-stage hepatic fibrosis in patients with Wilson’s disease by Jiafeng Zhou, Jiafeng Zhou, Zuolong Li, Junwei Wang, Zhenzhen Jiang, Tao Wang, Tianyu Xie, Liangchen Wang, Shuai Kang, Zhuang Tao, Meixia Wang

“…Identification of the independent risk factors for advanced hepatic fibrosis in WD was conducted through univariate and multivariate Cox regression analyses, followed by the construction of the clinical predictive model. …”
Get full text

Predicting relapse after achieving a functional cure for chronic hepatitis B (CHB) using baseline HBsAg and end-of-treatment HBsAb levels by Lianxiu Han, Zilong Wang, Luyang Kang, Xiaoling Cui, Yi Li, Huafa Yin, Yufeng Gao, Jiabin Li

“…Multivariate logistic regression analysis revealed that a baseline serum HBsAg concentration ≥ 100 IU/mL was a risk factor for recurrence, and an EOT serum HBsAb concentration ≥ 500 mIU/mL was a protective factor for recurrence. …”
Get full text

ENGLISH-A PERCEPTION ANALYSIS OF CUSTOMER’S SENSITIVITY TO INTEREST FACTOR IN CONTEMPORARY ISLAMIC BANKING IN PAKISTAN by Muhammad Kaleem, Hafiz ullah

“…In addition to cross tabulation, Analysis of Variance and Regression were used to analyze the data. …”
Get full text

Factor Analysis of Game Addiction, Playtime, and Craniovertebral Angle on Musculoskeletal Disorders among Esports Players by Nanda Maulana Riszki, Farid Rahman

Get full text

Analysis of The Influence of Seeds, Labor, and Fertilizer Use on Edamame Soybean Production at PT. Tweseven Farm Partners in Jember District by Muhammad Arifin, Endro Sugiartono

Get full text

ANALYSIS OF FACTORS ASSOCIATED WITH PUBLIC CONFIDENCE IN VACCINATION AGAINST VIRAL HEPATITIS B IN ARKHANGELSK REGION by T. V. Balaeva, E. A. Krieger, O. V. Samodova, A. M. Grjibovski

Get full text

Association of Polycystic Ovary Syndrome with Clinical, Physical, and Reproductive Factors: A Data-Driven Analysis by Ismat Ara Begum, A. S. M. Sanwar Hosen, Deepak Ghimire, Mi Jin Park

“…<b>Methods:</b> A retrospective analysis was conducted on a dataset of 539 participants to determine the optimal ranges of these factors associated with an increased likelihood of PCOS diagnosis. …”
Get full text