Relationship Between RNF213 p.R4810K and Echocardiographic Findings in Patients with Cerebrovascular Diseases: A Multicenter Prospective Cohort Study by Kotaro Noda, Yorito Hattori, Tatsuya Nishii, Hiroki Horinouchi, Yuriko Nakaoku, Soshiro Ogata, Yasunobu Inagaki, Ryotaro Asano, Takeshi Yoshimoto, Kunihiro Nishimura, Takeshi Ogo, Yoshikazu Nakaoka, Masafumi Ihara

“…Additionally, the carriers showed increased odds of having right ventricular outflow tract acceleration time values ≥150 milliseconds (odds ratio, 2.22 [95% CI, 1.18–4.18]; P=0.014) in multivariable logistic regression analysis. Conclusions A longer right ventricular outflow tract acceleration time may reflect an increased pulmonary vascular bed induced by abnormal vascular collateral networks and dilation of capillary vessels in peripheral pulmonary arteries in the preclinical stage of RNF213‐related pulmonary hypertension. …”
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Association between white blood cell count and coronary artery bypass graft failure: an individual patient data analysis of clinical trials by Kevin R. An, Sigrid Sandner, Joyce Peper, Yanzai Zhou, Jurrien M. ten Berg, Lamia Harik, Yunpeng Zhu, Laura M. Willemsen, Qiang Zhao, Björn Redfors, Subodh Verma, Mario F. L. Gaudino

“…The primary analysis was the association between pre-operative WBC count and graft failure, as a continuous variable, at the time of imaging after CABG, using mixed-effects multivariable logistic regression models. Results Overall, 910 patients and 2,036 grafts were included in the analysis [1,120 saphenous vein grafts, 828 left internal thoracic arteries, 76 right internal thoracic arteries, and 12 radial arteries]. …”
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Unraveling the association and regulatory role of miR-146b-5p in coronary artery disease by Xiaozhu Ma, Shuai Mei, Yi He, Qidamugai Wuyun, Li Zhou, Ziyang Cai, Qiushi Luo, Yi Wen, Jiangtao Yan

“…We found that miR-146b-5p was significantly increased in PBMCs of patients with CAD compared with the control group. Binary logistic regression revealed that miR-146b-5p was associated with CAD. …”
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Predicting survival rates: the power of prognostic nomograms in distal cholangiocarcinoma by Jiangfeng Hu, Yuping Shi, Lihua Jin, Suhong Yi, Jinsuo Chen, Dadong Wan, Weixin Ye, Jingnan Chen, Yajing Zhang, Yang Jiang, Bensong Duan, Yuwei Dong

“…Univariate and multifactorial Cox regression analyses were conducted to ascertain prognostic factors and prognostic nomograms were developed utilizing LASSO logistic regression analysis. We used the calibration curve, and area under the curve to validate the nomograms. …”
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Predicting Urinary Function Outcomes Following Low-dose-rate Brachytherapy for Prostate Cancer by Gianni Rüedi, Manolis Pratsinis, Hans-Peter Schmid, Sabine Güsewell, Paul M. Putora, Ludwig Plasswilm, Christoph Schwab, Orlando Burkhardt, Armin Thoeni, Werner Hochreiter, Ladislav Prikler, Stefan Suter, Patrick Stucki, Michael Müntener, Nadja Blick, Hans Schiefer, Gautier Müllhaupt, Daniel S. Engeler

“…Associations were evaluated using univariable and multivariable logistic regression. Receiver operating characteristic curve analysis was also performed. …”
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Describing quality of life trajectories in young Hispanic women with breast cancer: 5-year results from a large prospective cohort by Bryan F. Vaca-Cartagena, Ana S. Ferrigno Guajardo, Hatem A. Azim Jr, Federico Rotolo, Antonio Olivas-Martinez, Alejandra Platas, Alan Fonseca, Fernanda Mesa-Chavez, Marlid Cruz-Ramos, Ana Rodriguez, Alejandro Mohar, Cynthia Villarreal-Garza

“…Factors associated with each trajectory pattern were identified with multinomial logistic models. Results: A total of 477 women (median age: 36; IQR: 32–38) were clustered into the best (n = 259, 54 %), good (n = 79, 17 %), or poor trajectory groups (n = 139, 29 %). …”
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Impact of Motivational Enhanced Adherence Counseling and Point-of-Care Viral Load Monitoring on Viral Load Outcome in Women on Life-Long ART: A Randomized Pilot Study by Mercy T. Mutambanengwe-Jacob, Charles C. Maponga, K. Rivet Amico, Bernard Ngara, Nonhlanhla Yende-Zuma, Tariro D. Chawana, Teacler Nematadzira, Justice F. Gumbo, Tendayi Goverayi, Petronella Matibe, Bernadette V. Malunda, Jim Aizire, Taha E. Taha, Mary G. Fowler, Lynda Stranix-Chibanda

“…We compared viral suppression <200 copies/ml at 6 and 12 months between the arms through Fisher’s exact test and sought associated factors by logistic regression with a 95% confidence interval (CI). …”
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Difference between estimated glomerular filtration rate based on cystatin C versus creatinine and cardiovascular–kidney–metabolic health by Xiaoyan Wu, Wuming Hu, Jian Xu, Jiayi Shen, Li Lin, Jingshuai Zhu, Tiemin Wei, Lingchun Lv, Lingchun Lv

“…However, the role of eGFRdiff in cardiovascular–kidney–metabolic (CKM) health and its impact on mortality in CKM syndrome patients has not yet been studied.MethodsThis study included 3,622 participants from the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2004. Weighted ordinal logistic regression was used to explore the link between eGFRdiff and CKM health, while weighted Cox regression was used to examine the relationship between eGFRdiff and mortality in CKM syndrome patients. …”
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Risk Factors of Anaemia among Children under Five Years in the Hohoe Municipality, Ghana: A Case Control Study by Phyllis Atta Parbey, Elvis Tarkang, Emmanuel Manu, Hubert Amu, Martin Amogre Ayanore, Fortress Yayra Aku, Sorengmen Amos Ziema, Samuel Adolf Bosoka, Martin Adjuik, Margaret Kweku

“…Continuous variables were presented as means and standard deviations and categorical variables as frequencies and proportions. Conditional logistic regression was used to determine the strength of association between the dependent and the independent variables. …”
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Regional adipose distribution and metabolically unhealthy phenotype in Chinese adults: evidence from China National Health Survey by Binbin Lin, Yaoda Hu, Huijing He, Xingming Chen, Qiong Ou, Yawen Liu, Tan Xu, Ji Tu, Ang Li, Qihang Liu, Tianshu Xi, Zhiming Lu, Weihao Wang, Haibo Huang, Da Xu, Zhili Chen, Zichao Wang, Guangliang Shan

“…Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. All analyses were performed separately by sex. …”
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Self-perception of risk for HIV acquisition among people in prisons in Iran: A nationwide survey in 2017 by Zahra Abdolahinia, Seyed Aria Nejadghaderi, Soheil Mehmandoost, AliAkbar Haghdoost, Abedin Iranpour, Mohammad Karamouzian, Hamid Sharifi

“…Data were collected via gender-matched face-to-face interviews using a standard HIV risk assessment questionnaire. Multivariable logistic regression models were built to identify correlates of high self-perceived HIV risk. …”
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Maternal age-related declines in live birth rate following single euploid embryo transfer: a retrospective cohort study by Wei Jiang, Zichen Zheng, Nan Yan, Shuang Yao, Qijun Xie, Danyu Ni, Shanren Cao, Chun Zhao, Xiufeng Ling

“…Data were analyzed using multivariable logistic regression with generalized estimating equations (GEE) to account for confounding factors and restricted cubic splines to visualize the relationship between maternal age and pregnancy outcomes. …”
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Screening potential diagnostic biomarkers for PLA2R‑associated idiopathic membranous nephropathy by WGCNA analysis and LASSO algorithm by Jinxu Huang, Yaqing Huang, Xiaoling Zeng, Yuhong Zhang, Junneng Zhang, Qingchu Hong, Yongtiao Peng

“…LASSO regression, evaluated by ROC analysis, identified characteristic genes. Binomial logistic regression assessed their association with IMN. …”
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Wealth-based inequalities in tuberculosis prevalence among households having children and young adults in India: insights from Indian demographic and health surveys (2015–2021) by Saurabh Singh, Quazi Syed Zahiruddin, Sorabh Lakhanpal, Suhas Ballal, Sanjay Kumar, Mahakshit Bhat, Shilpa Sharma, M Ravi Kumar, Yogesh Kumar Dhandh, Sarvesh Rustagi, Mohammed Alissa, Muhammad A. Halwani, Mohammed Garout, Hayam A Alrasheed, Maha F. Al-Subaie, Nawal A. Al Kaabi, Ali A. Rabaan, Sanjit Sah, Muhammed Shabil, Mahalaqua Nazli Khatib, Prakasini Satapathy

“…Unadjusted and Adjusted Logistic regression is utilized to identify key factors influencing TB. …”
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Associations of the levels of adipokines and cytokines in individual follicles with in vitro fertilization outcomes in women with different ovarian reserves by Xuelan Li, Chujun Li, Jie Yang, Min Lin, Xianli Zhou, Ziyang Su, Yuting Zhang, Xinning Li, Xin Chen

“…The follicular level of IL-6 was negatively correlated with the quality of embryos according to the binary logistic regression analysis, while the follicular levels of adipokines and other cytokines did not correlate with IVF outcomes regardless of the woman’s ovarian reserve. …”
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A new preprocedural predictive risk model for post-endoscopic retrograde cholangiopancreatography pancreatitis: The SuPER model by Mitsuru Sugimoto, Tadayuki Takagi, Tomohiro Suzuki, Hiroshi Shimizu, Goro Shibukawa, Yuki Nakajima, Yutaro Takeda, Yuki Noguchi, Reiko Kobayashi, Hidemichi Imamura, Hiroyuki Asama, Naoki Konno, Yuichi Waragai, Hidenobu Akatsuka, Rei Suzuki, Takuto Hikichi, Hiromasa Ohira

“…In the development cohort, the risk score model for predicting PEP was established via logistic regression analysis. In the validation cohort, the performance of the model was assessed. …”
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Associations of Retinal Microvascular Density and Fractal Dimension with Glaucoma: A Prospective Study from UK Biobank by Qi Chen, MD, Suyu Miao, MD, Yuzhe Jiang, MD, Danli Shi, MD, PhD, Weiyun You, MD, Lin Liu, MD, PhD, Mayinuer Yusufu, MTI, Yufan Chen, MD, Ruobing Wang, MD, PhD

“…Propensity score matching was implemented via a logistic regression model with a caliper of 0.1 and a matching ratio of 1:4 no replacements. …”
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Prevalence and factors associated with neonatal sepsis in Mali: a cross-sectional study by Bienvenu Salim Camara, Alexandre Delamou, Haoua Dembele, Hamadoun Sangho, Birama Apho Ly, Sidikiba Sidibé, Alioune Camara, Cheick Sidya Sidibé, Alhassane Diallo, Abdoulaye Touré, Fatoumata Bintou Traoré, Elhadj Marouf Diallo, Fatimata Yaro, Mariam Traoré

“…Data were analyses using bivariate and multivariate logistic regression.Setting This facility-based study was conducted in four health facilities consisting of two hospitals and two reference health centres in Mali.Participants The study participants comprised 795 randomly selected neonates and their indexed mother.Outcome measures The primary outcome of the study was the prevalence of sepsis in the considered health facilities. …”
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Protocolized approach saves the limb in peripheral arterial injury: A decade experience by Pratyusha Priyadarshini, Supreet Kaur, Komal Gupta, Abhinav Kumar, Junaid Alam, Dinesh Bagaria, Narender Choudhary, Amit Gupta, Sushma Sagar, Biplab Mishra, Subodh Kumar

“…Association of limb loss with ischemia time, mechanism of injury, and concomitant injuries was studied using multiple logistic regressions. Statistical analysis was performed using STATA version 15.0 (Stata Corp LLC, Texas). …”
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A cross-sectional study on the correlation between internal cerebral vein asymmetry and hemorrhagic transformation following endovascular thrombectomy by Kunxin Lin, Kunxin Lin, Wenlong Zhao, Wenlong Zhao, Quanhong Wu, Quanhong Wu, Yiru Zheng, Yiru Zheng, Bo Yang, Ying Fu, Ying Fu, Ning Wang, Ning Wang, Ling Fang, Ling Fang

“…The ICV asymmetry group exhibited a significantly higher risk of parenchymatous hematoma-type HT (33.8% vs. 15.5%, p = 0.019) and symptomatic intracerebral hemorrhage (sICH) (23.5% vs. 5.2%, p = 0.004). In multivariate logistic regression, ICV asymmetry (OR 3.809, 95% CI 1.582–9.171), baseline Alberta Stroke Program Early CT Score (OR 0.771, 95% CI 0.608–0.978), intravenous recombinant tissue plasminogen activator (OR 2.847, 95% CI 1.098–2.7.385), and poor collateral circulation (OR 3.998, 95% CI 1.572–10.169) were identified as independent risk factors of HT.ConclusionICV asymmetry, likely resulting from impaired autoregulation or tissue micro-perfusion hampering cerebral blood flow (CBF), is a novel radiological sign that independently predicts HT. …”
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