The Influence of the Ecological Situation in Ukraine on the Life Expectancy and Health of the Population by Andrusiv Uliana, Zelinska Halyna, Kupalova Halyna, Bezuhla Liudmyla, Bieloborodova Mariia

“…To achieve the goals, general scientific and special methods of analysis and techniques were used: economic analysis and comparison – to assess the health status of the population, correlation–regression method – to build a system of equations and identify the dependence of the mortality rate on the impact of environmental factors, the grouping method – to analyze indicators of population morbidity by regions of Ukraine, induction and deduction. …”
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Temporal and geographical dynamics of early-onset Parkinson’s disease burden: insights from the Global Burden of Disease Study 2021 by Yong Li, Dianhui Tan, Cheng Luo, Junchen Chen

“…Sociodemographic measures were used to analyze patterns and differences. Statistical methods, including joinpoint regression and decomposition analysis, were employed to identify temporal patterns and factors influencing variations in EOPD burden over time.ResultsThe global incidence of EOPD saw a significant increase between 2000 and 2009, with an average annual percentage change (AAPC) of 4.3%, continuing at a slower rate (AAPC 1.6%) from 2010 to 2021. …”
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Estimativa do potencial de perda de fósforo através da metodologia "P Index" Estimating P loss potencial by P Index by Mariana F. M. de Oliveira, Nerilde Favaretto, Glaucio Roloff, Cristóvão V. S. Fernandes

“…Besides the correlation analysis, the stepwise regression was used to analyze the influence of different components of the PI in P concentration and loss in the water. …”
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A radiomics-based interpretable machine learning model to predict the HER2 status in bladder cancer: a multicenter study by Zongjie Wei, Xuesong Bai, Yingjie Xv, Shao-Hao Chen, Siwen Yin, Yang Li, Fajin Lv, Mingzhao Xiao, Yongpeng Xie

“…Abstract Objective To develop a computed tomography (CT) radiomics-based interpretable machine learning (ML) model to preoperatively predict human epidermal growth factor receptor 2 (HER2) status in bladder cancer (BCa) with multicenter validation. …”
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Significance of serum IgA/C3 ratio in the diagnosis and prognosis of IgA nephropathy by XIE Wei-ji, HONG Gui-tian, XUE Qian, LIN Zhi-jun, XIE Yi, XU Xiao-chang, ZHANG Yi-min

“…The differences of the serum IgA/C3 ratio between IgAN and other related glomerular diseases and the IgA/C3 changes before and after treatment were analyzed. Results(1)The serum IgA/C3 ratio for IgAN,primary non-IgANand LN were 3.0±1.3, 1.9±0.8 and 6.9±4.9,respectively, with statistical significance of the differences of IgAN vs primary non-IgAN(P<0.01)and vs LN(P<0.01).(2) The serum IgA/C3 ratios for the primary non-IgAN subgroups minimal change nephritis(MCD), membranous nephropathy(MN) and focal segmental glomerulosclerosis(FSGS) were 1.9±0.8,1.9 ± 0.8 and 2.1±0.5,respectively.There was statistically significant difference of IgAN vs MCD(P<0.01), vs MN(P<0.01) and vs FSGS IgAN(P<0.01).(3)By multivariate regression analysis, IgA/C3 ratio(OR=2.509,95%CI 1.196～5.262,P=0.015) could be regard as an important risk factor for patients to suffer IgA Ninthe primary glomerular disease group.(4) The serum IgA/C3 ratio sexhibited statistically significant difference of IgAN + dialysis vs non-IgAN +dialysis[(3.7±1.8 vs(1.8±0.6),P=0.011] and vs non-IgAN + non-dialysis[(3.7±1.8) vs(1.9±0.8),P=0.005].(5) In the ROC curve diagnosis for IgAN and primary non-IgAN diseases, the cut point of the serum IgA/C3 ratio was equal to or greater than 2.106 or greater with the area under the curve of 0.775(P<0.01), which assisted to distinguish IgAN with other primary glomerular disease.(6) Among 43 IgAN patients who were followed up, 37 ones acquired remission in proteinuria 24 hours after treatment.The serum IgA/C3 ratios before treatment(with proteinuria remission) and after treatment(without proteinuria remission) were(3.1±1.1) vs(2.3±0.9),with difference of statistical significance(t=3.506,P=0.001).Conclusions Theserum IgA/C3 ratio is of significance in the diagnosis and differential diagnosis of IgAN among primary glomerular diseases, and the decrease of the ratio maybe a positive factor for prognosis of IgAN.…”
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Prognosis of Cancer Patients with Severe Hyponatremia in the Emergency Department: A Retrospective Study from the National Cancer Center of China by Qinglong Jiang, Xi Zhang, Chao Wang, Rong Qin, Rui Sun, Shengling Qin, Cong Zhao, Zhiyong Li, Wenjie Zhu, Minghua Cong

“…The results of the COX regression analysis demonstrated that the efficacy of sodium supplementation (OR = 2.643, 95% CI 1.593–4.386, <i>p </i>< 0.001), a low albumin level (OR = 0.654, 95% CI 0.463–0.923, <i>p</i> = 0.016), the TNM stage (OR = 4.606, 95% CI 2.846–7.455), and a higher ECOG score (OR = 1.738, 95% CI 1.292–2.338, <i>p </i>< 0.001) were independent risk factors for overall survival. …”
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Cerebral perfusion and gray matter volume alterations associated with cognitive impairment in metabolic syndrome with cerebral small vessel disease by Han Liu, Han Liu, Wenhui Zheng, Jie Geng, Jie Geng, Xia Zhou, Yu Xia, Yan Liu, Gang Zhang, Gang Zhang, Xiaoqun Zhu, Daping Lv, Daping Lv, Zhongwu Sun

“…The relationships among cognitive performance, CBF, and GMV were evaluated using partial correlation analysis and multivariable linear regression analysis (MLRA). …”
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Relationship between neutrophil-to-lymphocyte ratio and pulmonary arterial hypertension in non-dialytic patients with chronic kidney disease stage 5 by 冯世尧, 任伟

“…Objective To investigate the clinical value of neutrophil-to-lymphocyte ratio(NLR)for pulmonary arterial hypertension(PAH)in non-dialytic patients with chronic kidney disease(CKD) stage 5.Methods A total of 144 non-dialysis patients with CKD stage 5 were divided into two groups:PAH group and non-PAH group according to pulmonary artery systolic pressure.Clinical data were compared between the two groups,Spearman correlation analysis was used to analyze the relationship between pulmonary artery systolic pressure and various factors.Binary classification Logistic regression analysis was applied to analyze the risk factors of PAH.Receiver operating characteristic(ROC)curve was adopted to evaluate the predictive value of NLR for PAH.Results There were 64 cases(44.4%)in the PAH group and 80 cases(55.6%)in the non-PAH group.NLR,platelet to lymphocyte ratio,left internal atrial diameter and main pulmonary internal artery diameter in the PAH group were significantly higher than those in the non-PAH group(P<0.05).Lymphocyte count,hemoglobin,serum iron,triglyceride,very low density lipoprotein cholesterol and left ventricular ejection fraction in the PAH group were significantly lower than those in the non-PAH group,with all statistically significant differences(P<0.05).NLR,left atrial diameter and main pulmonary artery diameter were positively correlated with pulmonary artery systolic pressure(P<0.05).Multivariate Logistic analysis showed that,NLR(OR=2.151,95%CI 1.438～3.218,P<0.001),left atrial diameter(OR=1.176,95%CI 1.068～1.294,P<0.05)and main pulmonary artery diameter(OR=1.229,95%CI 1.004～1.504,P<0.05)were independent risk factors for PAH.The results of ROC curve analysis showed that the area under curve of PAH predicted from NLR was 0.711(95% CI 0.626～0.797,P<0.05).When the NLR cutoff value was 3.23,the sensitivity and specificity for predicting the occurrence of PAH in non-dialysis patients with CKD stage 5 were 60.9% and 72.5%,respectively.Conclusions NLR has a good clinical value in predicting the occurrence of PAH in non-dialysis patients with CKD stage 5.Left atrial enlargement and main pulmonary artery enlargement were related to PAH.…”
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HIV molecular transmission networks among students in Guangxi: unraveling the dynamics of student-driven HIV epidemic by Xianwu Pang, Jie Ma, Qin He, Kailing Tang, Jinghua Huang, Ningye Fang, Haomin Xie, Guanghua Lan, Shujia Liang

“…Bayesian phylogenetic analysis was utilized to identify migration events, and multivariable logistic regression was employed to analyze factors influencing clustering and high linkage. …”
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Circulating CCN6/WISP3 in type 2 diabetes mellitus patients and its correlation with insulin resistance and inflammation: statistical and machine learning analyses by Reza Afrisham, Yasaman Jadidi, Nariman Moradi, Seyed Mohammad Ayyoubzadeh, Reza Fadaei, Omid Kiani Ghalesardi, Vida Farrokhi, Shaban Alizadeh

“…Biochemical parameters including fasting blood glucose (FBG), aspartate transaminase (AST), alanine transaminase (ALT), triglycerides (TG), total cholesterol (TC), high-density lipoprotein (HDL), and low-density lipoprotein (LDL) were determined using the AutoAnalyzer instrument. The circulating levels of CCN6, adiponectin, Tumor necrosis factor-α (TNF)-α, Interleukin 6 (IL-6), and insulin were quantified using ELISA. …”
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Predictive value of the monocyte count for determining the risk of postoperative moderate-to-severe ARDS in patients undergoing one-lung ventilation during radical treatment of eso... by Feng Zhang, Feng Zhang, Shunmei Lu, Guilong Wang, Hongyang Xu, Dongxiao Huang, Xiaomin Li

“…Multifactorial logistic regression, receiver operating characteristic (ROC), curve-fitting, and Spearman correlation analysis were used to analyze the data.ResultsAfter screening, 255 patients were enrolled, with 18% in moderate-to-severe ARDS group. …”
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Pyroptosis-Mediator GSDMD in Plasma: A Potent Biomarker Lung Cancer Diagnosis and Prognosis Assessment by Liu X, Yu F, Ding N, Wei C, Cui Y, Huo L

“…Multivariate logistic regression analysis indicated that serum GSDMD, CEA, SCC, HE4, and IL - 6 were independent risk factors for lung cancer. …”
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Predicting Drug Resistance: The Use of Novel Inflammatory Markers in Identifying ESBL-Producing Klebsiella pneumoniae by Ma X, Yuan J, Tang L, Chen X, Zhou Y, Wang N, Sun H

“…The patients were divided into ESBL-producing and non-ESBL-producing groups based on the presence of ESBLs. Logistic regression analysis was used to analyze the risk factors associated with ESBL-producing K. pneumoniae. …”
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Wearable dynamic electrocardiogram monitor-based screening for atrial fibrillation in the community-dwelling elderly population by Lili Wei, Enyong Su, Jianfang Xie, Wangqiong Xiong, Xiaoyue Song, Junqiang Xue, Chunyu Zhang, Ying Hu, Peng Yu, Ming Liu, Hong Jiang

“…Multivariate logistic regression analysis revealed that snoring, renal dysfunction, coronary heart disease and high CHA2DS2-VASc score were independent risk factors for AF. …”
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Prognostic value of lactate dehydrogenase, serum albumin and the lactate dehydrogenase/albumin ratio in patients with diffuse large B-cell lymphoma by Wenke Wu, Lei Miao, Lidong Zhao, Yuanxin Zhu, Jianping Mao, Zhimei Cai, Yajun Ji, Lei Wang, Ying Wang, Tao Jia

“…Survival curves of LDH, ALB, and LAR were plotted and analyzed using the Cox regression model and Kaplan–Meier method with the log-rank test.Results Among the 212 patients admitted, the study derived the optimal cutoff values for ALB, LDH, and LAR as 38, 301, and 6, respectively. …”
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Development a risk prediction nomogram for multidrug−resistant bacterial and fungal infection in gastrointestinal fistula patients during the perioperative period by Mingming Yin, Haoyi Zheng, Haoyi Zheng, Lifeng Xu, Rong Jin, Xiangyang Wang, Yi Man, Kai Xu, Qiang Ruan, Ting Wang, Kai Guo, Zheng Zhou, Wenyong Wu, Guosheng Gu, Guosheng Gu

“…Univariate and multivariate logistic regression analyses were performed to identify independent risk factors. …”
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A cross-sectional study on the correlation between fasting blood glucose and bone turnover markers in Chinese patients with osteoporotic fractures by Meng-cheng Zhu, Meng-cheng Zhu, Min-zhe Xu, Min-zhe Xu, Chang-xuan Li, Chang-xuan Li, Jia-hao Wang, Jia-hao Wang, Chong Li, Chong Li, Ya-qin Gong, Ya-qin Gong, Jian Jin, Ke Lu, Ke Lu, Yan-ming Hao, Yan-ming Hao

“…Non-linear relationships and threshold effects were analyzed.ResultsAdjusted regression models identified a negative association between FBG and BTMs. …”
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Association of ABCB1 G2677T polymorphism with atorvastatin lipid efficacy and extended prognosis in patients with cerebral ischemic stroke by Yingna Tian, Bingxin Xu, Shuling Guo, Qinghua Li, Haigang Zhao, Yan Zhao, Hanjing Wei, Wei Liu, Pengfei Gao, Wei Li, Xianjun Zhang

“…Lipid profile changes (pre-treatment vs. 2-month post-treatment) were analyzed via analysis of covariance (ANCOVA). Treatment efficacy was defined as achieving serum LDL-C < 1.8 mmol/L, and binary logistic regression analysis was used to explore the impact of ABCB1(2677T > G) gene polymorphism on the lipid-lowering efficacy of atorvastatin. …”
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Adrenocortical carcinoma survival gene HMMR was identified as being targeted by fluorouracil and epirubicin using a gene coexpression network-based drug repositioning strategy by Zahra Jafari, Seyed-Morteza Javadirad, Seyede Elmira Yazdi Rouholamini

“…Network analysis identified transcription factors that regulate hub genes. …”
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Kinetic Pattern Recognition in Home-Based Knee Rehabilitation Using Machine Learning Clustering Methods on the Slider Digital Physiotherapy Device: Prospective Observational Study by Clement Twumasi, Mikail Aktas, Nicholas Santoni

“…The optimal clusters identified through the unsupervised clustering methods were further evaluated and compared using silhouette analysis to quantify their performance. Key determinants of cluster membership were assessed, including demographic factors (eg, gender, BMI, and age) and pain levels, by using a logistic regression model with analysis of covariance adjustment. …”
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