Elevated effluent lactate independently predicts the adverse outcomes of peritoneal dialysis associated peritonitis by Xiao Yu, Jingyuan Wang, Changna Liang, Zhao Li, Wanhong Lu, Jing Lv, Ying Ma

“…We used logistic regressions and receiver operating characteristic curve (ROC) analysis to assess factors linked to outcomes and the lactate level predictive accuracy for PDAP adverse outcomes, respectively. …”
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Association between the dietary index for gut microbiota and constipation in American adults by Chunyan Song, Zhulin Zhang, Shanxiang Zhu, Huacheng Tong

“…Multivariate weighted logistic regression, adjusted for confounders, was performed to analyze the association between DI-GM scores and constipation prevalence.Further analyses included a subgroup analysis and restricted cubic splines to explore this association [restricted cubic spline(RCS)].An increased DI-GM index, indicating a healthier gut microbiome, was related to a decreased risk of constipation.A similar association was observed with a more favorable score for beneficial gut microbiota.Non-linear associations between DI-GM scores and constipation were identified through RCS analysis.Subgroup and interaction analyses confirmed the consistency of these findings across strata, suggesting no significant heterogeneity.These findings suggest that dietary adjustments may be an important method for preventing constipation.…”
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The characteristics of new-onset myasthenia gravis after COVID-19 outbreak: a cross-sectional study by Yanzhen Huang, Yu Wu, Shaodan Zhou, Xianting Que, Ailing Jiang, Danli Shi, Ting Lu, Yanlan Chen, Ziqun Lin, Chao Liu, Yishuang Wen, Shuyi Zhang, Wen Huang

“…This study aimed to explore the clinical characteristics of new-onset MG patients after COVID-19 and analyze factors affecting their disease improvement. …”
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Construction and Validation of a Hospital Mortality Risk Model for Advanced Elderly Patients with Heart Failure Based on Machine Learning by Shang S, Wei M, Lv H, Liang X, Lu Y, Tang B

“…The Shapley Additive Explanations (SHAP) values were used to analyze the impact of key variables on the model prediction results.Results: A total of seven variables significantly associated with death were selected by LASSO regression and Boruta feature selection, including white blood cell count (WBC), neutrophil percentage (Neut %), C-reactive protein (CRP), D-dimer, glycated serum protein (GSP), N-terminal pro-B-type natriuretic peptide (NT-ProBNP), and body mass index (BMI). …”
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Impact of pelvic lymph node dissection on survival outcomes in non-muscle invasive bladder cancer: a multicenter retrospective study by Shiwang Huang, Kaipeng Jia, Jingmin Cui, Jianfei Duan, Xiaosong Li, Wang Chai, Chong Shen, Zhe Zhang, Huitong Chen, Shan Liang, Jingwen Han, Jianing Guo, Zhouliang Wu, Yunkai Qie, Hailong Hu

“…Survival outcomes, including cancer-specific survival (CSS) and recurrence-free survival (RFS), were compared using Kaplan-Meier analysis and Cox proportional hazards models, while factors associated with upstaging were examined through logistic regression. …”
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Functional Liver Imaging Score to Predict Clinically Significant PHLF for Hepatocellular Carcinoma After Resection by Zheng X, Zhang Y, Huang H, Luo N

“…Univariable and multivariable logistic regression analyses were performed to identify independent risk factors for clinically significant PHLF, defined as grade B or C PHLF by the International Study Group of Liver Surgery. …”
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Predictive value of serum miR-21 and miR-122 expression on the efficacy of capecitabine combined with transcatheter hepatic arterial embolization chemotherapy for liver metastasis... by Wenfang Ma, Zukuan Chang, Shixing Li, Xiuhua Wang, Guangshao Cao, Youjie Fan

“…Serum levels of miR-21 and miR-122 before treatment were detected and the relationship with clinical pathological characteristics was analyzed. Independent risk factors were screened by multivariate Logistic regression, and a nomogram model was constructed to evaluate efficacy.ResultsIn the training set, there were 86 cases with effective treatment and 95 cases with ineffective treatment after operation. …”
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The Early Prediction of Patient Outcomes in Acute Heart Failure: A Retrospective Study by Maria Boesing, Justas Suchina, Giorgia Lüthi-Corridori, Fabienne Jaun, Michael Brändle, Jörg D. Leuppi

“…Missing predictor data was imputed and predictors were identified by means of multivariable regression analysis. Results: Data of 638 patients (median age 84 years, range 45–101 years, 50% female) were included in the study. …”
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Treatment Outcome and Its Determinants among Patients Admitted to Stroke Unit of Jimma University Medical Center, Southwest Ethiopia by Ameha Zeleke Zewudie, Tolcha Regasa, Solomon Hambisa, Dejen Nureye, Yitagesu Mamo, Temesgen Aferu, Desalegn Feyissa, Tewodros Yosef

“…Data was entered by Epidata manager version 4.0.2 and analyzed by SPSS version 24. Multivariable logistic regression analysis with the backward stepwise approach was done to identify independent predictors of poor treatment outcome of stroke. …”
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Provision of postpartum care to women giving birth in health facilities in sub-Saharan Africa: A cross-sectional study using Demographic and Health Survey data from 33 countries. by Lenka Benova, Onikepe Owolabi, Emma Radovich, Kerry L M Wong, David Macleod, Etienne V Langlois, Oona M R Campbell

“…We estimated the percentage of women receiving a postpartum check by a health professional while in the childbirth facility and the associated 95% confidence interval (CI) for each country. We analyzed determinants of receiving such checks using logistic regression of the pooled data. …”
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Correlation between the built environment and dockless bike-sharing trips connecting to urban metro stations by Jiaomin Wei, Yanyan Chen, Zhuo Liu, Yang Wang

“…Accordingly, 6 microscale built-environment factors are extracted from street-view images using deep learning and integrated into the analysis model, together with 14 macroscale built-environment factors and 8 potential influencing factors of socioeconomic attributes and metro station attributes. …”
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The nomograph predicting the recurrence of Solid Pseudopapillary Neoplasm of the Pancreas: a study of the SEER database and a Chinese cohort by Qidong Pei, Junzong Chen, Gang Deng, Dong Li, Yajun Tang, Jiaming Lai, Di Tang

“…We collected data from our two hospitals as an external validation cohort from the years 2011 to 2021. Logistic regression analysis was used to analyze the related factors of recurrence, and a predictive nomograph model was established and verified. …”
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The impact of preoperative atrial fibrillation on survival and outcomes in heartmate II and heartmate 3 patients by Rami Al-khusein, Alish Kolashov, Nikolaus Marx, Ajay Moza, Ahmad Abugameh, Yousif Ibrahim Mohamed, Assila Al-Ahmed, Mohammed Shoaib, Leyla Dogan, Rashad Zayat, Mohammad Amen Khattab

“…Kaplan‒Meier survival analysis and Cox proportional hazards regression were used to analyze the associations among paroxysmal atrial fibrillation (pAF), permanent atrial fibrillation (peAF), survival, hemorrhage, and thromboembolism. …”
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Bridge Cable Performance Warning Method Based on Temperature and Displacement Monitoring Data by Yan Shi, Yan Wang, Lu-Nan Wang, Wei-Nan Wang, Tao-Yuan Yang

“…Bridge displacements are caused by both dynamic loads (wind and traffic) and quasi-static factors, primarily temperature. This study filtered out dynamic responses by the three-sigma rule, multiple linear regression, interpolation method, and not-a-number calibration. …”
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Visual Subfield Progression in Glaucoma Subtypes by Wei-Wen Su, Shian-Sen Hsieh, Shih-Tsung Cheng, Cheng-Wen Su, Wei-Chi Wu, Henry Shen-Lih Chen

“…The raw data of the 30-2 Humphrey Field Analyzer from glaucoma patients with definite visual field progression were processed with pointwise linear regression (PLR) analysis. …”
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Vaccination status and clinical outcome of COVID-19 in hospitalized patients by Priscila Poli, Gustavo Diego Magno, Silvia Carla da Silva André Uehara

“…Hospitalization data were collected from electronic medical records, and vaccination status data were obtained from the VaciVida system. The analysis was performed using Poisson regression models. …”
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Effects of physical activity on mobile phone addiction among university students: the mediating roles of self-control and resilience by Fang Wang

“…Pearson’s correlation was employed to analyze the relationships between variables, while mediation models were examined using SPSS PROCESS and bootstrapped regression analysis.ResultsPA demonstrated a significant negative correlation with mobile phone addiction behaviors (β = −0.22, p < 0.01). …”
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Anxiety and depression: ten-year changes of prevalence and its association with demographic and socio-economic characteristics according to the ESSE-RF study by S. E. Evstifeeva, S. A. Shalnova, V. A. Kutsenko, Yu. A. Balanova, A. E. Imaeva, A. V. Kapustina, M. B. Kotova, S. A. Maksimov, G. A. Muromtseva, O. A. Litinskaya, M. S. Pokrovskaya, E. B. Yarovaya, E. M. Filichkina, A. G. Soplenkova, L. I. Gomanova, Yu. V. Doludin, E. A. Efimova, A. L. Borisova, N. S. Karamnova, O. B. Shvabskaya, B. M. Nazarov, T. V. Repkina, T. O. Gonoshilova, A. V. Kudryavtsev, N. I. Belova, L. L. Shagrov, M. A. Samotrueva, A. L. Yasenyavskaya, E. N. Chernysheva, S. V. Glukhovskaya, I. A. Levina, E. A. Shirshova, E. B. Dorzhieva, E. Z. Urbanova, N. Yu. Borovkova, V. K. Kurashin, A. S. Tokareva, Yu. I. Ragino, G. I. Simonova, A. D. Khudyakova, V. N. Nikulin, O. R. Aslyamov, G. V. Khokhlova, A. V. Solovyova, A. A. Rodionov, O. V. Kryachkova, Yu. Yu. Shamurova, I. V. Tantsyreva, I. N. Baryshnikova, M. G. Ataev, M. O. Radzhabov, M. M. Isakhanova, M. A. Umetov, L. V. Elgarova, I. A. Khakuasheva, E. I. Yamashkina, N. V. Esina, T. A. Kunyaeva, A. M. Nikitina, Yu. E. Spiridonova, N. V. Savvina, E. A. Naumova, A. A. Keskinov, D. A. Kashtanova, V. S. Yudin, S. M. Yudin, A. V. Kontsevaya, O. M. Drapkina

“…Analysis of the association between factors and a binary variable was carried out using the logistic regression method. …”
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The Study on Landslide Hazards Based on Multi-Source Data and GMLCM Approach by Zhifang Zhao, Zhengyu Li, Penghui Lv, Fei Zhao, Lei Niu

“…A geodetector is employed to analyze disaster-inducing factors, and machine-learning models such as random forest (RF), gradient boosting decision tree (GBDT), categorical boosting (CatBoost), logistic regression (LR), and stacking ensemble strategies (Stacking) are applied for landslide sensitivity evaluation. …”
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Adenovirus Infection Is Predicted by Prolonged Duration of Diarrhea among Rotavirus-Vaccinated Children below Five Years of Age in Mwanza, Tanzania by Delfina R. Msanga, Tulla S. Masoza, Dina Mahamba, Elizabeth Kwiyolecha, Raphael Rwezaula, Happiness Charles, Regan Kessy, Vitus Silago, Stephan E. Mshana, Mariam M. Mirambo

“…By multivariable logistic regression analysis, only prolonged duration of diarrhea (OR: 1.619, 95% CI: 1.142-2.295, p=0.007) was found to predict human adenovirus infection among rotavirus-vaccinated children with acute diarrhea. …”
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