The Monocyte-to-Lymphocyte Ratio at Hospital Admission Is a Novel Predictor for Acute Traumatic Intraparenchymal Hemorrhage Expansion after Cerebral Contusion by Jiangtao Sheng, Tian Li, Dongzhou Zhuang, Shirong Cai, Jinhua Yang, Faxiu Ding, Xiaoxuan Chen, Fei Tian, Mindong Huang, Lianjie Li, Kangsheng Li, Weiqiang Chen

“…A nonlinear positive relationship between MLR and the incidence of acute tICH expansion was observed. Multivariate logistic regression indicated MLR as an independent risk factor for acute tICH expansion (odds ratio (OR), 5.88; 95% confidence interval (CI), 4.02-8.61). …”
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Fetal cardiac function in pregnancy affected by congenital heart disease: protocol for a multicentre prospective cohort study by Anna Erenbourg, Tracie Barber, Vera Cecotti, Stefano Faiola, Ilaria Fantasia, Tamara Stampaljia, Hagai Avnet, Beata Radzymińska-Chruściel, Neama Meriki, Alec Welsh

“…Differences in functional parameters between cases and controls and over time will be assessed using generalized linear mixed models. Logistic regression will estimate the association between cardiac parameters and hydrops’ incidence. …”
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Heatwave warnings mitigate long-term cardiovascular diseases risk from heat-related illness: a real-world prospective cohort studyResearch in context by Qi Huang, Limei Ke, Linfeng Liu, Yuyang Liu, Yanjun Li, Guoqing Feng, Bo Yin, Wenxin Xiang, Jiarun Li, Keyi Lyu, Miao Wang, Qiannan Tian, Liqun Wu, Xiaofeng He, Wannian Liang, Huatang Zeng, Jiming Zhu, Kuiying Gu, Qian Di

“…We employed stratified logistic regression to explore the protective effects of heatwave warning policies. …”
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High anti-Müllerian hormone level as a predictor of poor pregnancy outcomes in women with polycystic ovary syndrome undergoing in vitro fertilization/intracytoplasmic sperm injecti... by Fei Zhao, Duo Wen, Lin Zeng, Ruiqi Wang, Dingran Wang, Huiyu Xu, Rong Li, Hongbin Chi

“…After adjusting the confounders by multivariable logistic regression analysis, anti-Müllerian hormone was associated with decreased live birth rate in the high anti-Müllerian hormone group compared with that in the low anti-Müllerian hormone group (odds ratio: 0.629, 95% confidence interval: 0.460–0.860). …”
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Genetic profiling of extended-spectrum β-Lactamase and carbapenemase-producing Escherichia coli O157:H7 from clinical samples among diarrheal patients in Shashemene, Ethiopia by Shimelis Teshome Ayalneh, Biruk Yeshitela Beshah, Yeonji Jeon, Ashenafi Alemu Wami, Seifegebriel Teshome, Solomon Gebreselassie, Se Eun Park, Mekonnen Teferi, Woldaregay Erku Abegaz

“…Data analysis was performed using SPSS version 27.0, employing logistic regression and descriptive statistics. Results We analyzed a total of 27 isolates that were ESBL-positive and 12 isolates that were found to produce carbapenemase phenotypically. …”
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Leave no child behind: Using data from 1.7 million children from 67 developing countries to measure inequality within and between groups of births and to identify left behind popul... by Antonio P Ramos, Martin J Flores, Robert E Weiss

“…We estimate mortality risk for each child in the data using a Bayesian hierarchical logistic regression model. We include commonly used risk factors for monitoring inequality in early life mortality for the SDG as well as their interactions. …”
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Predicting Axillary Lymph Node Metastasis in Young Onset Breast Cancer: A Clinical-Radiomics Nomogram Based on DCE-MRI by Dong X, Meng J, Xing J, Jia S, Li X, Wu S

“…Precisely forecasting axillary lymph node metastasis (ALNM) is essential for customizing treatment plans and enhancing patient results.Objective: This research sought to create and verify a clinical-radiomics nomogram that combines radiomic features from Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) with standard clinical predictors to improve the accuracy of predicting ALNM in young breast cancer patients.Methods: We performed a retrospective analysis at one facility, involving the creation and validation of a nomogram in two stages.At first, a medical model was developed utilizing conventional indicators like tumor dimensions, molecular classifications, multifocal presence, and MRI-determined ALN status.A more detailed clinical-radiomics model was subsequently developed by integrating radiomic characteristics derived from DCE-MRI images.These models were created using logistic regression analyses on a training dataset, and their effectiveness was assessed by measuring the area under the receiver operating characteristic curve (AUC) in a separate validation dataset.Results: The clinical-radiomics nomogram surpassed the clinical-only model, recording an AUC of 0.892 in the training dataset and 0.877 in the validation dataset.Significant predictors included MRI-reported ALN status and select radiomic features, which markedly enhanced the model’s predictive capacity.Conclusion: Integrating radiomic features with clinical predictors in a nomogram significantly improves ALNM prediction in young onset breast cancer, providing a valuable tool for personalized treatment planning. …”
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Faktor-Faktor yang Berhubungan dengan Perilaku Bidan dalam Pencegahan Risiko Penularan HIV/AIDS pada Pertolongan Persalinan Normal di Kota Tanjungpinang Tahun 2014 by Rahmadona ., Joserizal Serudji, Erwani .

“…Data were analyzed using chi square test and multiple logistic regression. Factors related to midwives bahaviour were knowledge (p=0,027), attitude (p=0,004), motivation (p=0,047), supervision (p=0,001) and avaibility of equipment (p=0,002). …”
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Revealing the role of natural killer cells in ankylosing spondylitis: identifying diagnostic biomarkers and therapeutic targets by Yuling Chen, Yan Li, Yuan Xu, Qing Lv, Yuanchun Ye, Jieruo Gu

“…The diagnostic value of the identified key genes was evaluated using ROC curves, logistic regression analysis, and a nomogram. Real-time PCR (RT-PCR) was used to quantified the expression of genes. …”
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Exploring under-five child malnutrition in Bangladesh: Analysis using the Extended Composite Index of Anthropometric Failure (ECIEF) by Farzana Akhter Bornee, Mohammad Rocky Khan Chowdhury, Badrun Naher Siddique, Baki Billah, Farjana Akter, Md Nazmul Karim

“…Malnutrition using ECIAF was estimated using stunting, wasting underweight and overweight. Multilevel logistic regression models identified factors associated with malnutrition. …”
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Inflammatory Indices and MAFLD Prevalence in Hypertensive Patients: A Large-Scale Cross-Sectional Analysis from China by Shen D, Cai X, Hu J, Song S, Zhu Q, Ma H, Zhang Y, Ma R, Zhou P, Yang W, Hong J, Zhang D, Li N

“…To assess the relationship between inflammatory indices and MAFLD, multivariable logistic regression was performed with adjustments for potential confounders. …”
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Digital health data security practices among health professionals in low-resource settings: cross-sectional study in Amhara Region, Ethiopia by Ayenew Sisay Gebeyew, Wondwossen Zemene, Binyam Chaklu Tilahun, Nebyu Demeke Mengestie, Berhanu Fikade Endehabtu, Zegeye Regasa Wordofa, Mitiku Kassaw Takillo, Gedefaw Belete Ashagrie, Melaku Molla Sisay

“…Then, self-administered questionnaires were administered. Multivariable logistic analysis was used to identify associated factors using STATA software. …”
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Obstetric Danger Signs: Knowledge, Attitude, Health-Seeking Action, and Associated Factors among Postnatal Mothers in Nekemte Town, Oromia Region, Western Ethiopia—A Community-Base... by Misganu Teshoma Regasa, Jote Markos, Ashenafi Habte, Shivaleela P. Upashe

“…To assess the associations between dependent and independent variables, binary and multivariate logistic regressions were employed, and the strength of association was presented using odds ratios with 95% confidence intervals. …”
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Association between the hemoglobin A1c/High-density lipoprotein cholesterol ratio and stroke incidence: a prospective nationwide cohort study in China by Chaojuan Huang, Hongtao You, Yuyang Zhang, Ligang Fan, Xingliang Feng, Naiyuan Shao

“…Stroke cases were identified based on self-reported, physician-confirmed diagnoses. Logistic regression models were established to determine the correlation between HbA1c/HDL-C and stroke prevalence (2011) as well as between cumulative mean HbA1c/HDL-C (2011–2015) and new stroke incidence (2015–2018). …”
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Dysgeusia in MASLD-related advanced chronic liver disease (ACLD): a silent driver towards the “Bermuda” triangle of malnutrition-sarcopenia-frailty severely affecting prognosis by Marcello Dallio, Mario Romeo, Fiammetta Di Nardo, Carmine Napolitano, Paolo Vaia, Giorgia Iadanza, Simone Olivieri, Annachiara Coppola, Marco Niosi, Alessandro Federico

“…These patients showed a higher risk of LRDEs occurrence during the follow-up [HR:2.205; C.I. 95%:1.186–4.099; p:0.01]. Logistic regression analysis revealed dysgeusia (aOR: 3.32), appetite impairment (aOR:1.32), sarcopenia (aOR: 3.75), and frailty (aOR:3.03) significantly associated with this outcome (all p < 0.0001). …”
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Environmental exposures associated with atopy in a rural community in Gwanda district, Zimbabwe: a cross-sectional study by Vuyelwa Ndlovu, Vuyelwa Ndlovu, Moses Chimbari, Pisirai Ndarukwa, Pisirai Ndarukwa, Elopy Sibanda, Elopy Sibanda

“…Variables with a p value &lt;0.25 from univariate analysis were included in backward-elimination multiple logistic regression analysis. Separate regression analyses were conducted for children (n = 108), adults (n = 388), and a subgroup of adults who reported ever being employed in any potentially harmful occupation (n = 153).ResultsCompared with boys, girls were more likely to be sensitised to at least one allergen (OR = 4.87, 95% CI = 1.22–19.51). …”
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The Impact of COVID-19 Pandemic on the Diagnosis, Treatment, and Outcomes of Colorectal Cancer in Singapore by Hui Lionel Raphael Chen, Piea Peng Lee, Yun Zhao, Wei Hao Caleb Ng, Jiashen Zhao, Yu En Christopher Tan, Bo Jie Sean Loh, Kah-Hoe Pierce Chow, Hiang Khoon Tan, Kwong-Wei Emile Tan

“…Cox regression was used to model the waiting time to colonoscopy. Multivariable logistic regression identified associations between time periods and incidence of CRC diagnosed. …”
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Long-Term Analysis of Recurrence Beyond Milan Criteria Following Ablation of Solitary Early-Stage Hepatocellular Carcinoma &le;3 cm in Potentially Transplantable Patients: A Over 1... by Chen S, Qi H, Tan H, Cao F, Xie L, Huang T, Wu Y, Wen C, Wang Y, Shen L, Fan W

“…Shuanggang Chen,1,2,&ast; Han Qi,1,2,&ast; Hongtong Tan,1,2,&ast; Fei Cao,1,2 Lin Xie,1,2 Tao Huang,1,2 Ying Wu,3 Chunyong Wen,1,2 Yujia Wang,1,2 Lujun Shen,1,2 Weijun Fan1,2 1Department of Minimally Invasive Interventional Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People’s Republic of China; 2State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People’s Republic of China; 3Department of Interventional Therapy, Shenzhen second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Weijun Fan, Email fanwj@sysucc.org.cn; Lujun Shen, Email shenlj@sysucc.org.cnBackground: Salvage liver transplantation is promising for hepatocellular carcinoma(HCC) recurrence post-ablation but is significantly affected by recurrence beyond Milan Criteria (RBM).Materials and Methods: A retrospective cohort study of potentially transplantable HCC patients undergoing ablation between 2007 and 2017 assessed median time to recurrence beyond Milan Criteria(TRBM) via Kaplan-Meier curves and predictive capacity of recurrence and RBM for overall survival(OS) via Receiver Operating Characteristic Curves, and identified independent risk factors for TRBM and RBM via Cox and binary logistic regression models.Results: We enrolled 191 potentially transplantable patients with early-stage HBV-related HCC ≤ 3 cm who underwent ablation. …”
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Improving machine learning predictions to estimate fishing effort using vessel's tracking data by J. Samarão, A. Moreno, M.B. Gaspar, M.M. Rufino

“…We assessed seven supervised ML algorithms, including Logistic Regression, Ridge Classifier, Random Forest Classifier, K-Neighbours, Gradient Boosting Classifier, LinearSVC, Recurrent Neural Networks and XGBoost, using four case studies, from bivalve dredge and octopus pots and traps fisheries.First, in a preliminary statistical analysis between common error measures derived from the confusion matrix was decided to use accuracy, precision, and sensitivity as evaluation criteria. …”
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Evaluating the Impacts of Procedural and Patient-Specific Factors on the Outcomes of Transcatheter Aortic Valve Implantation (TAVI) by Abilkhair Kurmanaliyev, Rima Braukylienė, Ali Aldujeli, Rassul Zhumagaliyev, Serik Aitaliyev, Ramunas Unikas

“…Patients with non-coronary cusp calcification exhibited lower cardiac mortality (<i>p</i> = 0.005), while mitral valve regurgitation was linked to poorer outcomes (<i>p</i> = 0.015). Logistic regression analysis underscored the incremental risks posed by procedural complexities and comorbidities. …”
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