Risk factors and predictors of recurrent variceal bleeding in cirrhotic patients awaiting transplantation by V. L. Korobka, V. D. Pasechnikov, Yu. V. Khoronko, E. S. Pak, M. V. Malevanny, D. V. Pasechnikov

“…The accumulated risks in the compared groups were estimated using the mathematical model of proportional hazards (Cox regression) in univariate and multivariate analysis.Results. …”
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Risk factors for infections in patients with lupus nephritis and construction of a prediction model by Liu Ding-lin, Zhang Wen-hao, Hu Hao-fei, Li Ai-ting, Chen Zhi-jin, Zheng Cai-yan, Qin Le-le, Zhang Li, Li Rui-zhao, Ye Zhi-ming

“…Cox proportional risk regression model was used to analyze the factors affecting secondary infections.ResultsThe mean age of the included patients was （30 ± 12）years， and 85.3% of them were female. …”
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HIV Patients Drop Out in Indonesia: Associated Factors and Potential Productivity Loss by Adiatma YM. Siregar, Pipit Pitriyan, Rudi Wisaksana

“…First, we utilized probit regression analysis and included, among others, the following variables: patients’ status (active or drop out), CD4 cell count, TB and opportunistic infection (OI), work status, sex, history of injecting drugs, and support from family and peers. …”
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HIV Patients Drop Out in Indonesia: Associated Factors and Potential Productivity Loss by Adiatma YM. Siregar, Pipit Pitriyan, Rudi Wisaksana

“…First, we utilized probit regression analysis and included, among others, the following variables: patients’ status (active or drop out), CD4 cell count, TB and opportunistic infection (OI), work status, sex, history of injecting drugs, and support from family and peers. …”
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Prevalence and Factors Predicting Nondiabetic Kidney Disease in Type 2 Diabetic Patients by Vignesh Subramani, Vaishnavi Venkatasubramanian, Jasmine Sethi, Aravind Sekar, Ritambhra Nada, Manish Rathi

“…The demographic data, clinical data, laboratory parameters, and histological results of the patients were obtained from their medical records. Binary logistic regression analysis was performed to evaluate the predictive factors for NDKD. …”
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Treating Periodontitis Strictly Non-Surgically—A Retrospective Long-Term Analysis of Tooth Loss During Supportive Periodontal Care by Marco Michael Herz, Sandra Braun, Nina Hoffmann, Stefan Lachmann, Valentin Bartha, Hari Petsos

“…Each parameter was tested for significance in a bivariate analysis, before a multilevel logistic regression analysis was performed to identify possible factors with an impact on PTL during SPC. …”
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Characteristics of behavioral and socioeconomic risk factors for noncommunicable diseases in young people with comorbidities by A. D. Afanaseva, L. V. Shcherbakova, V. V. Gafarov, V. S. Shramko, D. V. Denisova, Yu. I. Ragino

“…Aim. To analyze behavioral and socioeconomic risk factors for noncommunicable diseases in young people with comorbidities.Material and methods. …”
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An Investigation of Related Factors to the Quality of Life in Children with Sensorineural Hearing Loss in Hamadan by S Zarei, K Baghban, S Mehrfar, S Jahani

“…Children with cochlear implants (80.13 ± 9.51) had a higher mean quality of life compared to children with hearing aids (75.20 ± 10.05) (P<0.05). Multiple linear regression analysis showed that increasing age had a significant negative correlation with quality of life (P<0.05). …”
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Risk factors for peptic ulcer bleeding one year after the initial episode by Yu-Xuan Peng, Wen-Pei Chang

“…A multivariate logistic regression model was used to identify independent risk factors predicting readmission due to recurrent PUB within one year. …”
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Related factors and prognostic impact of cardiac valve calcification in maintenance hemodialysis patients by Chengjun WANG, Xiaorong BAO, Zixuan QIAO, Miao MIAO, Wei YE, Lizhen WANG, Zhengjia HE, Jiao WANG

“…The binary logistic regression analysis was performed to explore the risk factors for CVC. …”
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Clinical characteristics and risk factors of ocular hypertension: a case-control study by Fei Hu, Linlin Luo, Hong Yang, Ting Liu, Ling Yu

“…Abstract Purpose This study investigates the clinical characteristics of ocular hypertension (OHT) by analyzing factors such as Schlemm’s canal morphology, intraocular pressure (IOP), iris traits, angle configuration, lens thickness (LT), and retinal nerve fiber layer (RNFL) thickness. …”
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Evaluation and Influencing Factors of Farmers' Digital Literacy Levels in the Context of the Digital Countryside by Chen MA, Jin LI, Zexin LI, Beibei FAN, Xian FENG

“…Based on 1500 questionnaire survey data from 13 agricultural areas in Beijing, the current level of digital literacy among farmers in Beijing was evaluated and analyzed. A regression model was constructed to analyze and explore the influencing factors of digital literacy among farmers in Beijing from three dimensions: personal factors, resource supply factors, and environmental factors. …”
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Pregnancy outcomes and risk factors for thrombocytopenia in pregnant patients with systemic lupus erythematosus by Qing-Ying Fang, De-Hai Gan, Jia Huang, Fan Lian

“…A nomogram was developed to identify factors associated with thrombocytopenia based on univariate and multivariable logistic regression analyses. …”
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Serum trihalomethanes and cognitive decline: investigating environmental risk factors for neurodegenerative diseases by Jianping Liu, Sufang Wang, Yuanying Song, Rong Luo, Lijian Han, Lijian Han

“…This study investigates the association between serum THM concentrations and cognitive decline, aiming to identify environmental risk factors for neurodegenerative diseases.MethodsData were drawn from the National Health and Nutrition Examination Survey (NHANES) 2011–2014 cohort. …”
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Risk factors for early diagnosis and prediction model development of of neonatal ABO-HDFN by ZHANG Wenhua, LIU Dan, ZHANG Wenting, LING Jing

“…Univariate and multivariate logistic regression analysis were used to explore the risk factors affecting the early diagnosis of ABO-HDFN in neonates with maternal-fetal blood group incompatibility. …”
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The Impact of Macroeconomic Factors and Financial Performance on Stock Prices: Evidence from Indonesia by Muhammad Fikri Irsyadillah, Yusnaini Yusnaini, Ika Sasti Ferina

“…Utilizing annual data from 2020 to 2023, obtained from company annual reports and official economic indicators, the study employs purposive sampling to select 192 companies meeting specific criteria from an initial population of 252. Panel data regression analysis is conducted using the Random Effect Model (REM), incorporating control variables such as Return on Assets (ROA), Firm Size (FS), and Debt to Equity Ratio (DER). …”
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Cardiovascular Disease Risk Factors Among Blue and White-collar Workers in Indonesia by Nurhayati A Prihartono, Fitriyani Fitriyani, Woro Riyadina

“…Data from a large-scale national health survey called RISKESDAS were used to analyze factors associated with CVD. Analysis was restricted to the working population aged 40 to 69 year. …”
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Cardiovascular Disease Risk Factors Among Blue and White-collar Workers in Indonesia by Nurhayati A Prihartono, Fitriyani Fitriyani, Woro Riyadina

“…Data from a large-scale national health survey called RISKESDAS were used to analyze factors associated with CVD. Analysis was restricted to the working population aged 40 to 69 year. …”
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Evaluation of Key Risk Factors Associated with Postoperative Complications in Colorectal Cancer Surgery by Silviu Stefan Marginean, Mihai Zurzu, Dragos Garofil, Anca Tigora, Vlad Paic, Mircea Bratucu, Florian Popa, Valeriu Surlin, Dan Cartu, Victor Strambu, Petru Adrian Radu

“…This study investigates key risk factors influencing morbidity, focusing on patient comorbidities, tumor characteristics, surgical techniques, and anastomotic methods. …”
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Occurrence and influencing factors of cardiovascular diseases in uremic patients after combined blood purification therapy by Shen Yu-xin, Zhang Qian-nan, Yu Ying-ji, Li Jun-hui

“…The general demographic data and clinical data of the two groups were compared. Logistic regression model was used to analyze the influencing factors of CVD occurrence after combined blood purification， and Spearman correlation analysis was used to analyze the correlation between each factor and CVD occurrence.ResultsA total of 122 uremia patients were included in the study， of which 20 had CVD， accounting for 16.39%， and the remaining 102 （83.61%） without CVD were included in the non-CVD group. …”
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