Outcomes and risk factors of transported patients with extracorporeal membrane oxygenation: An ECMO center experience by Lingjuan Liu, Dingji Hu, Tong Hao, Shanshan Chen, Lei Chen, Yike Zhu, Chenhui Jin, Jing Wu, Haoya Fu, Haibo Qiu, Yi Yang, Songqiao Liu

“…The 28-day survival rate for ECMO patients was determined using Kaplan–Meier analysis, while logistic regression identified prognostic factors. …”
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Maternal prepregnancy overweight/obesity increase the risk of low Apgar scores in twins: a population-based cohort study in China by Zhoushan Feng, Zhoushan Feng, Xiaohong Wu, Xiaomei Tong, Zheng He, Chunxia Yang, Wei Shen, Yueqin Ding, Jin Liu, Qiong Meng, Aiqin Zhang, Hong Jiang, Wenkang Yan, Jianwu Qiu, Xian Wei, Yayu Zhang, Xiaobo Lin, Lijun Liu, Ya Jin, Youfen Wei, Xiufang Yang, Yitong Wang, Yangfan Cai, Xinzhu Lin, Qiliang Cui

“…To control for confounding factors, multiple logistic regression, propensity score matching (PSM), inverse probability of treatment weighting (IPTW), and overlapping weighting models (OW) were applied to explore the effects of prepregnancy BMI on Apgar scores and other outcomes.ResultsAfter screening, a total of 4,724 women with twin pregnancies and 9,448 newborns were included in the study. …”
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Delta radiomics modeling based on CTP for predicting hemorrhagic transformation after intravenous thrombolysis in acute cerebral infarction: an 8-year retrospective pilot study by Xiaxia Wu, Xiaxia Wu, Jinfang Yang, Jinfang Yang, Xianqun Ji, Yingjian Ye, Ping Song, Lina Song, Peng An, Peng An

“…., age, sex, NIHSS score, medical history) to establish various models for predicting HT-ACI through multivariable logistic regression analysis. The predictive performance of the models was compared using DeLong curves, clinical net benefit was assessed using decision curves, and model predictions were validated using the XGboost algorithm. …”
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Geography and age drive racial and ethnic disparities in hospital mortality for paediatric community-acquired pneumonia in the United States: a retrospective population based cohor... by Cody-Aaron L. Gathers, Nadir Yehya, Anireddy Reddy, Paula M. Magee, Vanessa C. Denny, Michelle R. Mayeda, Amanda O’Halloran, Sanjiv D. Mehta, Stephanie Wanamaker, Jessica C. Fowler, Garrett Keim

“…Racial and ethnic groups (White, Black, Hispanic/Latino, and Other), four geographic regions (Northeast, South, Midwest, or West), and two age categories (<1 and ≥1 year) were combined to create a joint exposure variable. Multivariable logistic regression, clustered by hospital and adjusting for sex, primary insurance payer, median household income quartile, urban identification, and the presence of a complex chronic condition(s), quantified the relationship between the joint exposure and all-cause mortality for paediatric community-acquired pneumonia. …”
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Spatial and temporal changes of breast-conserving surgery rates and its influential factors among Chinese patients with breast cancer from 2013 to 2019: a registry-based study by Pengpeng Ye, Yuan Yang, Wei Hu, Lingyan Dai, Erwei Song, Shunrong Li, Liling Zhu, Kai Chen, Yanjie Xu, Xiaoyu Wang, Jianli Zhao, Jianrong He, Queran Lin, Tongrui Shang, Xiujuan Gui, Ziliang Zhong, Qianru Chen, Qing Yan, Xiaoliang Huang, Zijian Liang

“…Patients with non-metastatic breast cancer, who underwent breast surgery between 2013 and 2019, were included.Main outcomes and measures We analysed the BCS rate in Guangdong Province between 2013 and 2019. Logistic regression was applied to investigate the association between patient-level influential factors and BCS, respectively. …”
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Effectiveness of Electronic Quality Improvement Activities to Reduce Cardiovascular Disease Risk in People With Chronic Kidney Disease in General Practice: Cluster Randomized Trial... by Jo-Anne Manski-Nankervis, Barbara Hunter, Natalie Lumsden, Adrian Laughlin, Rita McMorrow, Douglas Boyle, Patty Chondros, Shilpanjali Jesudason, Jan Radford, Megan Prictor, Jon Emery, Paul Amores, An Tran-Duy, Craig Nelson

“…The intervention effect for the primary outcome was estimated with a marginal logistic model using generalized estimating equations with robust SE. …”
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The “prostate-pelvic syndrome” theory used in patients with type-III prostatitis and its correlation with prostate volume by Xiao-Ma Zhang, Wei-Yi Li, Zong-Yao Hao, Lei Zhou, Cheng Yang, He-Xi Du, Chao-Zhao Liang

“…The proportion of VS patients in the PV ≥ 20 mL group was higher than that in the PV < 20 mL group. Multivariate logistic analysis showed that PV and disease duration were independent related factors for VS in adult PPS patients below 40 years old. …”
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Awareness of Sexual Partner’s HIV Status Among Men Who Have Sex With Men in China: Cross-Sec. tional Survey Study by Qian Ma, Tingting Jiang, Wanjun Chen, Shaoqiang Jiang, Jinlei Zheng, Hui Wang, Lin He

“…ResultsA total of 7629 MSM participated in the study, with 45.2% (n=3451) being aware, 35.4% (n=2701) being partially aware, and 19.4% (n=1477) being unaware of their sexual partner’s HIV status. The multinomial logistic regression analysis revealed the following results. …”
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Inflammatory markers predict efficacy of immunotherapy in advanced non-small cell lung cancer: a preliminary exploratory study by Yingqing Zhang, Na Yan, Yan Feng, Yonglei Wu, Yuejiao Sun, Xixi Gao, Chao Gu, Xiaolong Ma, Feng Gao, Hui Zhang, Jiaqi Zhou

“…These indicators showed no significant distribution differences in Mann Whitney Wilcoxon analysis, univariate and multivariate logistic regression analysis between the primary resistance group and the effective treatment response group. …”
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Prevalence and determinants of HIV testing-seeking behaviors among women of reproductive age in Tanzania: analysis of the 2022 Demographic and health survey by Jackson Micheal Asingwire, Isaac isiko, Kuli Faith Rombe, Aaron Mwesigwa, Emmanuel Asher Ikwara, Haron Olot, Lenz Nwachinemere Okoro, Manankong Jane Precious Izunwanne, Blessing Onyinyechi Agunwa, Abdul Aziiz Bwana, William Yiga Kalemba, Ebuka Louis Anyamene

“…The study utilized individual recodes (IR) files where data was collected using the Women’s Questionnaire to analyze factors influencing HIV testing behavior among women, Descriptive analysis, and bivariate and multivariate logistic regressions were performed and all the data were processed and analyzed using STATA version 17 at 95% CI and significance level P < 0.05. …”
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Studying the Digital Intervention Engagement–Mediated Relationship Between Intrapersonal Measures and Pre-Exposure Prophylaxis Adherence in Sexual and Gender Minority Youth: Second... by Michael P Williams, Justin Manjourides, Louisa H Smith, Crissi B Rainer, Lisa B Hightow-Weidman, Danielle F Haley

“…PrEP nonadherence was defined as blood serum concentrations of tenofovir-diphosphate and emtricitabine-triphosphate that correlated with ≤4 doses weekly at the 3-month follow-up. Logistic regression was used to estimate the total effect of baseline intrapersonal measures on PrEP nonadherence, represented as odds ratios (ORs) with a null value of 1. …”
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Impact of Population-Based Screening for Diabetes and Prediabetes Among 67-Year-Olds Using Point-of-Care HbA1c on Healthcare Ultilisation, Results from the VISP Cohort by Andersen JW, Høgh A, Lindholt JS, Søgaard R, Støvring H, Yderstræde KB, Sandbæk A, Dahl M

“…Statistical analyses were performed using Poisson and logistic regression models to compare ratios of healthcare utilization before and after screening.Results: Of the participants, 16.5% had pre-DM, and 3.4% had DM. …”
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Associations Between Complement C4, Habitual Constipation, and Sleep Disturbance in Oldest-Old and Centenarian Chinese Adults by Sun Z, Nie Y, Pei J, Gao M, Luan Z, Zhao Y, Li Z, Fu S

“…Multiple linear regression models detected a negative association between complement C4 and PSQI (β: − 0.030, 95% confidence interval [CI]: − 0.052–-0.008, P < 0.05) and a positive association between habitual constipation and PSQI (β: 0.610, 95% CI: 0.145– 1.074, P < 0.05). In the multiple logistic regression models, complement C4 was negatively associated with sleep disturbance (odds ratio: 0.978, 95% CI: 0.963– 0.993, P < 0.05), and habitual constipation was positively associated with sleep disturbance (odds ratio: 1.609, 95% CI: 1.194– 2.168, P < 0.05).Conclusion: The present study provides epidemiological evidence that sleep disturbance is negatively associated with complement C4 and positively associated with habitual constipation in oldest-old and centenarian Chinese adults, which expands the knowledge for the associations between complement C4, habitual constipation, and sleep disturbance in the elderly population and provides new insights and pathways on the treatment of sleep disturbance by regulating immune factors and intestinal function.Keywords: centenarian, complement C4, habitual constipation, oldest-old, sleep disturbance…”
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MSCT影像组学对Borrmann Ⅳ型胃癌与原发性胃淋巴瘤的鉴别诊断价值 by 陈钦贤, 刘昱, 黄列彬, 冯宝, 薛慧敏, 李昌林, 全勇, 龙晚生

“…采用计算机软件对CT动脉期、静脉期图像提取放射组学特征，再选择Lasso Logistic回归方法进行特征筛选，并建立CT影像组学模型，此外亦筛选CT主观征象构建CT主观征象模型，并同时利用CT主观征象及组学特征构建联合模型。…”
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Loose cigarette purchase and adolescent smoking in Indonesia: a mixed-methods study by Vid Adrison, Dian Kusuma, Gea Melinda, Fariza Zahra Kamilah, Syifa Rizki Amelia, Sofwatun Nida

“…We analysed the secondary data from a national survey, the 2019 Global Youth Tobacco Survey, using multivariable logistic regression models to examine the association between loose cigarette purchase and smoking frequency and intensity and nicotine dependence. …”
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Life course socioeconomic position and care dependency in later life: a longitudinal multicohort study from 17 countriesResearch in context by Ting Pan, Chenshuang Li, Ying Zhou

“…Care dependency was measured using activities of daily living (ADLs) and instrumental activities of daily living (IADLs) following WHO recommendations. Ordinal logistic mixed-effect models were applied to investigate associations between socioeconomic inequalities and their mobility across the life course with later-life care dependency. …”
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Patterns of beta-blocker use and dose optimization among ambulatory heart failure patients with reduced ejection fraction (HFrEF) attending public hospitals in Northeast Ethiopia:... by Minimize Hassen, Tsehaynesh Kebede Ebsa, Oumer Sada Muhammed, Tewodros Solomon, Mulat Belete Demessie, Teklehaimanot Fentie Wendie, Nuhamin Alemayehu Tesfaye, Mengistie Yirsaw Gobezie

“…Patient’s medical records was reviewed to gather the necessary data. A logistic regression analysis was performed to identify factors associated with beta-blocker use. …”
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Association and Interaction Analysis of Lipid Accumulation Product with Impaired Fasting Glucose Risk: A Cross-Sectional Survey by Jian Song, Xue Chen, Yuhong Jiang, Jing Mi, Yuyuan Zhang, Yingying Zhao, Xuesen Wu, Huaiquan Gao

“…It was finally obtained that the prevalence rate of IFG was 14.1% in total, 15.5% for males and 13.1% for females, respectively. In logistic regression analysis, individuals with LAP levels in the fourth quartile had a significant higher risk of getting IFG in comparison with that of the lowest quartile (crude OR: 4.58, 95% CI: 3.01-6.98; adjusted OR: 3.81, 95% CI: 2.33-6.23). …”
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Cohort retention in a pandemic response study: lessons from the SARS-CoV2 Immunity & Reinfection Evaluation (SIREN) study by Anna Howells, Katie Munro, Sarah Foulkes, Atiya Kamal, Jack Haywood, Sophie Russell, Dominic Sparkes, Erika Aquino, Jennie Evans, Dale Weston, Susan Hopkins, Jasmin Islam, Victoria Hall

“…We described cohort retention by demographics and site, using odds ratios from logistic regression. Withdrawal reasons during this time were collected by survey. …”
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Association between stroke and fracture and the mediating role of depression: a cross-sectional study from NHANES 2017 to 2020 by Yuqin Dan, Xuewen Pei, Danghan Xu, Zhaoxi Liu, Yuqi Wang, Meng Yin, Li Li, Gongchang Yu, Gongchang Yu

“…Female stroke patients had a higher fracture rate (73.86% vs. 47.78%, p &lt; 0.001), and those with post-stroke depression (29.67% vs. 13.16%, p &lt; 0.001) or osteoporosis (33.33% vs. 15.81%, p &lt; 0.05) were at increased risk of fractures. Logistic regression models showed a positive association between stroke and fractures in the unadjusted (OR = 1.862, 95% CI: 1.348–2.573, p &lt; 0.001) and adjusted I models (OR = 1.789, 95% CI: 1.240–2.581, p &lt; 0.01), but not in the adjusted II model. …”
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