Correlation between dyslipidemia and disease activity of lupus nephritis by Hu Hong-tu, Ding Guo-hua, Chen Xing-hua

“…Objective To explore the correlation between dyslipidemia and lupus nephritis（LN）.Methods From January 2016 to January 2019,472 LN patients were retrospectively analyzed.And 212 of them received renal biopsy and 236 healthy people were selected according to a ratio of 2:1.Based upon lupus activity score（SLEDAI）,pathological type of LN and blood levels of total cholesterol（TC）,total triglyceride（TG）,high density lipoprotein cholesterol（HDL-C）and low density lipoprotein cholesterol（LDL-C）were recorded.Analysis of variance and correlation were utilized for examining the correlation between dyslipidemia and disease activity of LN.Results The average levels of blood lipids（TC/TG/HDL-C/LDL-C）in LN patients were higher than those in healthy subjects and the differences in the levels of TC,TG and HDL-C were statistically significant（P<0.01）;The levels of TC,TG,LDL-C,SLEDAI and 24-hour LDL-C were higher in LN dyslipidemia group.The incidence rate of total protein 24 hUTP,urea nitrogen（BUN）,uric acid（UA）,D-dimmer and erythrocyte sedimentation rate（ESR）in urine were higher than those in normal lipid group.Estimated glomerular filtration rate（eGFR）,LDL-C and albumin（Alb）were lower than those of normal lipid group（P<0.05）.Significant differences existed in TC（F=4.839,P=0.008）,TG（F=3.105,P=0.046）and LDL-C（F=4.605,P=0.046）among different SLEDAI groups.The levels of TC,TG and LDL-C were significantly higher in severe active group than those in control group（P<0.05）.Logistic regression analysis showed that the elevation of TC/TG and the reduction of HDL-C were the risk factors of LN.Pearson’s correlation analysis indicated that the levels of TC,TG and LDL-C were positively correlated with SLEDAI（r>0,P>0.05）while the level of HDL-C negatively correlated with SLEDAI（r<0,P<0.05）.Conclusion A significant correlation exists between blood lipid level and SLEDAI in LN patients.Early monitoring of blood lipid level is of great significance for tracking the disease activity of LN patients.…”
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The association between cariogenic diet and dental caries in the Azar cohort population: a cross-sectional study by Maryam Hosseinpour Sarmadi, Nasrin Sharififard, Zeinab Mahboobi, Elnaz Faramarzi, Omid Zohdi

“…Daily meal frequency was divided into four groups. Associations were analyzed using negative binomial regression with a log link, adjusting for potential confounders. …”
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Cancer incidence risk of female reproductive organs in the Southern Urals Populations Exposed to Radiation Cohort: 1956-2019 by Yu. Krestinina, S. S. Silkin

“…The paper assesses the influence of modifying factors available for analysis on the magnitude of the risk. …”
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Multimodal fusion radiomic-immunologic scoring model: accurate identification of prostate cancer progression by Zhonglin Zhang, Huan Liu, Xiling Gu, Yang Qiu, Jiangqing Ma, Guangyong Ai, Xiaojing He

“…This included the Akaike Information Criterion (AIC), Maximum Relevance Minimum Redundancy (mRMR), and Least Absolute Shrinkage and Selection Operator (LASSO) algorithms, validated through 10-fold cross-validation. Logistic regression models were constructed for radiomic, immunologic, and combined RDIS models, with predictive performance rigorously evaluated using Receiver Operating Characteristic (ROC) curve analysis, calibration curve assessments, and Decision Curve Analysis (DCA). …”
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Attitude toward teamwork and work engagement as predictors of job satisfaction in nurses: a cross-sectional study by Ana J. Cayllahua Curiñaupa, Yessica S. Rojas Palma, Mayela Cajachagua Castro, Salomon Huancahuire-Vega

“…The T-TAQ questionnaire, the Utrecht Work Engagement Scale (UWES-17) and the SL-SPC Opinion Scale were used to evaluate the attitude towards teamwork, the engagement, and job satisfaction, respectively. The data was analyzed using descriptive statistics, bivariate analysis with Chi-square, and multivariate analysis with binary logistic regression (95% CI and p < 0.05). …”
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Neonatal Depression Is Associated With 1‐Year Mortality in Critical Congenital Heart Disease by Kimberley G. Miles, James Liu, Stephanie Y. Tseng, Emily A. DeFranco, Allison A. Divanovic, Helen N. Jones, Nicholas J. Ollberding, James F. Cnota

“…Multivariable logistic regression analyzed neonatal, maternal, and pregnancy‐related risk factors for neonatal depression and 1‐year mortality. …”
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Determinants of Oral Health Outcomes and Quality of Life in Diabetic Patients from Western Romania: A Behavioral Model Approach by Iulia Alexa, Ramona Dumitrescu, Doina Chioran, Octavia Balean, Vanessa Bolchis, Ruxandra Sava-Rosianu, Simona Popescu, Atena Galuscan, Daniela Jumanca

“…Data were collected through questionnaires, clinical oral exams, and the OHIP-14 instrument. Variables were analyzed using Andersen’s Behavioral Model and standard statistical tests, including regression and correlation analyses. …”
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Operating parameter optimization and experiment of spiral outer grooved wheel seed metering device based on discrete element method by Tao Zhang, Xinglong Tang, Cong Dai, Guiying Ren

“…Following the Box-Behnken testing design principle, a regression model was established to relate all factors to the performance index. …”
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Health Effects of Heavy Metal Exposure Among E-waste Workers and Community-dwelling Adults in Thailand: A Cross-sectional Study by Chonyitree Sangwijit, Parichat Ong-artborirak, Warangkana Naksen, Kraiwuth Kallawicha, Pallop Siewchaisakul

“…Multiple logistic regression analysis was used to identify factors impacting health. …”
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Prognostic Relationship Between Human Papillomavirus Status and Overall Survival in Patients with Tongue Cancer by Chayanit Kritpracha, Peesit Leelasawatsuk, Virat Kirtsreesakul, Pasawat Supanimitjaroenporn, Jarukit Tantipisit, Manupol Tangthongkum

“…Survival outcomes were compared using the log-rank test, and independent prognostic factors were analyzed using multivariable Cox regression. …”
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Assessment of knowledge and perceptions of pharmacy students toward pharmacovigilance activities, and their predictors: a cross-sectional study in Palestine by Rami Mosleh, Mustafa Ghanim, Arwa Omar Al Khatib, Yazun Jarrar, Anas Hamdan, Ruba Balasmeh, Sireen Abdul Rahim Shilbayeh

“…Thus, descriptive statistics, binary logistic regression, and multiple logistic regression analysis were performed using odds ratios (ORs) with corresponding 95% confidence intervals (CIs) to assess knowledge, perceptions, and associated demographic factors. …”
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The Association Between Thromboembolic Events and ALK, ROS1, RET Rearrangements or EGFR Mutations in Patients With Advanced Lung Adenocarcinoma: A Retrospective Cohort Study by Xiaohan Qian, Mengjiao Fu, Jing Zheng, Junjun Chen, Cuihong Cai, Jianya Zhou, Jianying Zhou

“…Clinical characteristics were analyzed, and the association between driver genes and TE risks was analyzed using competing risk and logistic regression. …”
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Effect of active follow-up of women with previous cesarean delivery on uptake of timely safe obstetric and surgical care: Comparison between pre-intervention and intervention cohor... by Josée Uwamariya, Gloriose Abayisenga, Ntwali Ndizeye, Fidele Nkurunziza, Albert Bisore Ngemanyi, Christian Mazimpaka, Jean Maurice Munyabarenzi, Rosine Bigirimana, Gilbert Rukundo, François Regis Cyiza, Farhad Khan, Renae Stafford, Karen Levin, Anne Fitzgerald Vinluan, Kathryn Mimno, Dieudonne Ndatimana

“…<h4>Methods</h4>We conducted a cohort study in four public hospitals and 64 health centers across Rwanda, comparing two non-parallel cohorts: a pre-intervention cohort (December 2021-February 2022) and an intervention cohort (November 2022-May 2023). Exploratory data analysis and logistic regression were conducted to analyze the emergency CD rate and any associated factors.…”
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Socioeconomic and locational disparities in primary education completion in Burkina Faso by Lazarus Obed Livingstone Banda

“…Design/methodology/approach – Using a quantitative, non-experimental approach, the study analyzes nationally representative secondary data using hierarchical linear modeling, binary logistic regression and propensity score matching (PSM) to assess correlational patterns in completion rates. …”
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Genetic and Environmental Influences on Retinopathy of Prematurity by J. M. Ortega-Molina, R. Anaya-Alaminos, J. Uberos-Fernández, A. Solans-Pérez de Larraya, M. J. Chaves-Samaniego, A. Salgado-Miranda, R. Piñar-Molina, A. Jerez-Calero, J. L. García-Serrano

“…The ROP was studied and treated by a single pediatric ophthalmologist. A binary logistic regression analysis was completed between the presence or absence of ROP and the predictor variables. …”
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Clinicopathological features and mucin expression of early papillary gastric adenocarcinoma by Jiaqi Chen, Xiujie Cui, Chengjun Zhou, Mulan Jin

“…Multivariable logistic regression was used to conduct a comparative analysis of the two groups of variables. …”
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Are Worries and Postpartum Depression Influenced by Early Depressive Symptoms and Mothers’ Lack of Confidence? A Prospective Study by Carmen Ecija, Patricia Catala, Lorena Gutierrez, Cecilia Peñacoba-Puente

“…Conclusions: It is necessary to analyze factors related to postpartum depression from a multifactorial approach focused on the analysis of depression during pregnancy, but also including other variables such as mothers’ lack of confidence as possible risk factors of postpartum depression. …”
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Predicting the risk of bone metastases in patients with newly diagnosed prostate cancer - Development and validation of a nomogram model. by Wei Xu, Guoyu Zhu, Xiaoxiang Wang, Xuebing Yan, Fujun Wang, Shanyi Li, Wenji Li

“…Chi-square test, independent sample t-test, and logistic regression were used to screen key risk factors. Receiver operating characteristic (ROC) curves, c-index, calibration curves, and decision curves analysis (DCA) were used for the validation, calibration, clinical benefit assessment, and external validation of nomogram models.…”
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Interplay Between Viral Shedding, Age, and Symptoms in Individual Infectivity of COVID-19 Breakthrough Infections in Households by Shuaibing Dong, Ying Sun, Shuyu Ni, Yi Tian, Zhaomin Feng, Lei Jia, Xiaoli Wang, Daitao Zhang, Quanyi Wang, Tim K. Tsang, Peng Yang

“…Using multivariate logistic regression models, we analyzed the impact of demographic, environmental, clinical, and virological factors on the risk of breakthrough infections. …”
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Prosthetic Complications of Single Screw-Retained Implant-Supported Metal–Ceramic Fixed Prostheses: A Retrospective Observational Study by Cristina Palma-Carrió, Andrea Macconi, Andrea Rubert-Aparici, Paula Vidal-Peiró, Isabel Menéndez-Nieto, Juan Antonio Blaya-Tárraga

“…The following data were collected from medical records: age, sex, prosthesis location, implant diameter, type of antagonist, date of prosthesis placement, type of prosthetic complications, and the date of the occurrence of complications. Statistical analysis was estimated at the patient level with a simple binary logistic regression and at the prosthesis level, a simple logistic regression with generalized estimating equation models (p <0.05). …”
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