Analysis of outcomes and risk factors in peritoneal dialysis patients in a single center by YUAN Ming, QIAO Yu-feng, YAN Yan, LI Xiao-xia, XUE Fu-ping, LIU Hong-yan, WANG Li-hua

“…Objective To analyze the clinical data of peritoneal dialysis(PD)patients in the Second Hospital of Shanxi Medical University,and to explore the outcomes of patients with PD and the risk factors.Methods The clinical data of patients with maintenance peritoneal dialysis from January 2009 to June 2019 in the Second Hospital of Shanxi Medical University were collected by retrospective study.The chi-square test and log rank test were used for single factor analysis.Multivariate analysis was performed using a multivariate stepwise COX regression model to discuss the adverse outcomes and risk factors of peritoneal dialysis patients.Results Among 258 patients with maintenance peritoneal dialysis,the ones with chronic glomerulonephritis accounted for 42.2%,the ones with diabetic nephropathy 32.9%;97 ones withdrew from peritoneal dialysis with a withdrawal rate of 37.60%.Among the patients with withdrawal from peritoneal dialysis,49 ones changed from peritoneal dialysis to hemodialysis,accounting for 19.0%;39 ones died,accounting for 15.1%;4 ones underwent renal transplantation,accounting for 1.6%;5 patients lost their follow-up visit.Through single factor and multi factor analysis,the complication of cardiovascular and cerebrovascular diseases(HR=2.599,95%CI:1.340～5.043,P=0.005),24-hour urine volume less than 400 mL(HR=0.207,95%CI:0.085～0.501,P<0.001),creatinine less than 707 μmol/L(HR=3.259,95%CI:1.682～6.316,P<0.001)were the independent risk factors for death in patients with peritoneal dialysis.The incidence of peritonitis(HR=3.548,95%CI:1.882～6.691,P=0.000),neutrophil percentage greater than 70%(HR=0.543,95%CI:0.302～0.977,P=0.042),uric acid greater than 360 μmol/L(HR=0.352,95%CI:0.168～0.735,P=0.005),total cholesterol greater than 5.7 mmol/L(HR=0.368,95%CI:0.160～0.931,P=0.034)were the independent risk factors for change to hemodialysis.Conclusions The outcomes of patients who withdraw from peritoneal dialysis in our center are mainly death and change to hemodialysis.The complication of cardiovascular and cerebrovascular diseases,24-hour urine volume less than 400 mL,and creatinine less than 707 μmol/L are independent risk factors for death in patients with peritoneal dialysis.Peritonitis,neutrophil percentage greater than 70%,uric acid greater than 360 μmol/L,total cholesterol greater than 5.7 mmol/L are independent risk factors for change to hemodialysis.…”
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Spatiotemporal evolution of agricultural carbon emissions intensity in China and analysis of influencing factors by Xue Zhu, Xiwu Shao

“…Abstract This study aims to investigate the spatiotemporal evolution of China’s agricultural carbon emissions intensity and their influencing factors from 2001 to 2022. It employs analytical methods such as kernel density estimation, Gini coefficient, Moran’s index, spatial Markov analysis, and spatiotemporal geographically weighted regression (GWTR) to visualize the data and analyze the results. …”
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Cluster analysis of the factors influencing innovative development of economy in regions of Russian Federation by V. N. Yur’ev, D. M. Dybok

“…In the course of the research, data was collected from an official web page of Federal State Statistics Service in accordance to previously chosen factors, its’ analysis and conclusions were made, on the current step the cluster analysis was additionally conducted. …”
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Analysis of the Current Status and Influencing Factors of Social Alienation in Adolescent Scoliosis Patients by Yi Zeng, Qin Fu, Xia Li

“…Multivariate linear regression analysis was employed to identify independent factors influencing social alienation. …”
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Analysis of factors, associated with the probability of antihypertensive medication in the population of patients with arterial hypertension by V. S. Kaveshnikov, V. N. Serebryakova, I. A. Trubacheva

“…Aim. To analyze factors associated with the probability of antihypertensive drugs (AHD) receiving in the population of patients with arterial hypertension (AH). …”
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Analysis of clinical characteristics and risk factors of recurrent Clostridioides difficile infection in children by Jin-Yue Huang, Ning Wang, Jing-Yao Wang, Hua-Chu Zuo, Juan Li, Yu Zhao

“…Logistic regression was used to compare clinical data and analyze risk factors for CDI recurrence. …”
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Prolonged Hospital Stay in Hypertensive Patients: Retrospective Analysis of Risk Factors and Interactions by Stanisław Surma, Michał Czapla, Izabella Uchmanowicz, Raúl Juárez-Vela, Łukasz Pietrzykowski, Bartosz Uchmanowicz, Marcin Leśkiewicz, Krzysztof Griesmann, Michał Burzyński, Jacek Smereka, Łukasz Lewandowski

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Analysis of factors influencing the burden on family caregivers of disabled older adults in Guangzhou by Danrong Lin, Danrong Lin, Junbin Liao, Yanxi Liu, Yuquan Zhong, Jingyun Pan, Heng Fang, Yunfeng Lin, Yilu Yao, Jiewen Su, Bingjie Hu, Bingjie Hu, Wei Zhu, Wei Zhu

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Analyzing the global burden of 11 subtypes of congenital birth defects: trends, sociodemographic correlates, and outcomes from 1990 to 2021 by Enhui Yang, Feng Chen, Yuansi Zhang, Hao Lin, Yang Yang, Xiufeng Huang, Wenjie Zheng, Yu Zhang, Maoping Chu, Xing Rong

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Analysis of the development of Oil and Gas Industry in present conditions by E. I. Larionova, T. I. Chinaeva, E. P. Shpakovskaya

“…Statistical methods of information analysis (comparative analysis, analysis of time series, correlation, and regression analysis) represent the methodological base of research.Results. …”
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Epidemiology of Skin Diseases in Poland: Analysis of Prevalence and Risk Factors: A Cross-Sectional Study by Anna Kubrak, Anna Zimny-Zając, Sebastian Makuch, Łukasz Pawelec, Beata Jankowska-Polańska, Wojciech Tański, Jacek C. Szepietowski, Siddarth Agrawal

“…The prevalence of these conditions was assessed, and statistical analysis, including logistic regression, was used to evaluate associations with demographic and socioeconomic factors (age, gender, education level, and urbanization). …”
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Spatial variation and predictors of anemia among women of reproductive age in Mozambique, 2022/23: a multiscale geographically weighted regression by Deresse Abebe Gebrehana, Tadesse Tarik Tamir, Gebretsadik Endeshaw Molla, Yishak Kebede, Dejen Tegegne, Solomon Gedlu Nigatu, Araya Mesfin Nigatu

“…A weighted sample of 5,907 women of reproductive age was analyzed using ArcGIS 10.7. Multiscale geographically weighted regression was employed to identify predictors of anemia.ResultsThe national prevalence of anemia among women of reproductive age in Mozambique was 51.89% (95% CI: 50.66, 53.12%). …”
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Quantitative analysis and correlation evaluation on taste quality of green tea by Chen Meili, Tang Desong, Gong Shuying, Yang Jie, Zhang Yingbin

“…The equation based on stepwise regression analysis had good predictive ability for the taste quality and total quality, and the right ratios for taste score and total quality score were 79% and 83% respectively. …”
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ANALYSIS OF PADDY GROWERS DECISIONS IN LIGHT OF LIMITED IRRIGATION WATER IN THE EUPHRATES BASIN REGION FOR THE PERIOD 1980-2015 by Z. H. Mhmood

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RISK FACTORS FOR PNEUMONIA IN ELDERLY INDONESIAN HAJJ PILGRIMS (DATA ANALYSIS OF SISKOHATKES 2023) by Alvina Diva Fitrianti, Chandrayani Simanjorang, Ulya Qoulan Karima, Fajaria Nurcandra

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Comparative Analysis of Factors Affecting the Prognosis of Patients with Atrial Fibrillation According to the Results of the REKUR-AF Study by I. L. Polshakova, S. V. Povetkin

“…To conduct a comparative analysis of the significance of the influence of various factors and their combinations on the survival of patients with atrial fibrillation (AF) in the REKUR-AF study.Material and methods. …”
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Comprehensive Analysis of the Driving Forces Behind NDVI Variability in China Under Climate Change Conditions and Future Scenario Projections by Ao Li, Shuai Yin, Nan Li, Chong Shi

“…Partial least squares (PLS) regression analysis was then used to examine the relationship between NDVI and driving factors, and the contribution of these factors to NDVI variation was determined through the variable importance in projection (VIP) score. …”
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Factors influencing the cure of pseudolithiasis: a retrospective study of 264 patients by Leijiao Deng, Jie Deng

“…These findings provide a systematic analysis of potential predictive factors associated with the complete resolution of pseudobiliary stones, offering preliminary evidence for further optimization of personalized treatment strategies. …”
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Time series analysis of dengue incidence and its association with meteorological risk factors in Bangladesh. by Kazi Estieque Alam, Md Jisan Ahmed, Ritu Chalise, Md Abdur Rahman, Tasnia Thanim Mathin, Md Ismile Hossain Bhuiyan, Prajwal Bhandari, Delower Hossain

“…Monthly reported dengue cases were analyzed using time series forecasting techniques and multivariate Poisson regression models. …”
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Unveiling Patient Satisfaction: Analysis of Factor Influencing Patient-Centered Care At Bunda Margonda Hospital by Putu Agus Sujana Putra, NLP Dina Susanti, Made Rismawan, Made Dian Shanti Kusuma

“…In the non-BPJS group, age (p = 0.029) and marital status (p = 0.024) were significant factors. Logistic regression analysis revealed that length of stay was the most influential factor for BPJS patients (aOR = 2.3; p = 0.023), whereas marital status was the primary factor for non-BPJS patients (aOR = 1.3; p = 0.024). …”
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