Association Between Baseline Neutrophil Count and Febrile Neutropenia Following Docetaxel and Ramucirumab With Prophylactic Pegfilgrastim by Tomonori Makiguchi, Haruka Odagiri, Hisashi Tanaka, Kageaki Taima, Sadatomo Tasaka

“…The correlation between BNC and LNC was analyzed. We evaluated the association between BNC and FN using logistic regression analysis. …”
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Skin autofluorescence is associated with glycemic variability in type 2 diabetes patients by Eui Seok Shin, Hyun Joo Jung, Jindong Kim, Minhyun Cho, Tae Seon Kim

“…Bivariate and multivariate associations between SAF and GV were examined using Pearson correlation analysis and multiple linear regression. T2DM patients exhibited higher SAF and GV compared to controls. …”
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Effects of night eating on oral health characteristics and symptoms of poor oral health in adolescents: a cross-sectional study using the 18th Korea Youth Risk Behavior Survey by Seung–Hee Hong

“…Methods Data from the 18th Korea Youth Risk Behavior Survey conducted in 2022 were analyzed. The study included 51,850 middle and high school students and assessed the frequency of night eating per week, dietary habits, oral health characteristics, and factors affecting the presence of symptoms of poor oral health. …”
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A multimodal nomogram for predicting disease progression in diabetic patients with coronary artery disease: integrating clinical, ultrasound, and angiographic data by Jing Chen, Ling Yue, Ruonan Wang, Sunjing Shu, Jin Liu, Mingmin Yan, Changkong Ye, Liu Shuang

“…A multivariate Cox regression model was developed, incorporating key factors (coronary lesion number, myocardial infarction history, ejection fraction, and creatinine). …”
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Hemoglobin A1c stratifies risk of adverse cardiovascular outcomes in prostate cancer survivors in the UK Biobank: a cohort study by Adithya K. Yadalam, Alexander C. Razavi, Sagar A. Patel, Chang Liu, Yan V. Sun, Anant Mandawat

“…When compared to participants with an HbA1c < 5.7% in competing-risk regression analysis accounting for non-cardiovascular death, HbA1c ≥ 6.5% was the strongest predictor of cardiovascular death or non-fatal MI (sHR 1.88, 95% CI 1.01–3.48, P < 0.001) after insulin use in a risk model adjusted for demographics, traditional cardiovascular risk factors, and insulin use. …”
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Exploring Health-Seeking Behaviors Among Healthcare Workers and the General Population During the COVID-19 Pandemic: A Retrospective Quantitative Study by Gabriela Castañeda-Millán, Alexia M. Haritos, Edris Formuli, Maryna Mazur, Kishana Balakrishnar, Bao-Zhu Stephanie Long, Behdin Nowrouzi-Kia

“…A multivariate logistic regression analysis was performed to explore the relationship between sociodemographic factors and help-seeking. …”
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Knowledge, Attitudes, and Practices of the General Population Regarding Peripheral Blood Chromosomal Testing in the Premarital or Preconception Context by Caixia Hu, Lulu Zhai, Hailian Wang

“…Correlations between KAP scores were evaluated by Pearson correlation analysis. Factors associated with KAP were identified by multivariable logistic regression. …”
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Glycemic control and prostate antigen levels in individuals with diabetes based on NHANES data by Xiao Huo, Zhi Wang, Nan Huang, Jie Zhang

“…Multivariable regression models were used, adjusting for key demographic, clinical, and lifestyle factors, including age, race/ethnicity, marital status, body mass index (BMI), smoking status, alcohol use, hypertension, coronary artery disease (CAD), and insulin use. …”
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Complex multifactorial prediction model for life-threatening ventricular arrhythmias in patients with myocardial infarction by E. V. Averyanova, A. A. Tonkoglaz, A. A. Chernova, N. A. Donetskaya, V. E. Oleynikov

“…MRI data established that the scar tissue mass (36,8±23,7 g) and percentage (28,5±19,8%) in the VT group was higher than in the comparison group (16,9 (6,5; 27,9) g (p=0,025) and 13,3 (5,8; 22,2)% (p=0,045), respectively).Univariate regression analysis revealed following factors associated with the VT risk: history of coronary artery disease, high NT-proBNP values, heart rate turbulence, microvolt TWA, end diastolic dimension, GLS, scar tissue mass, scar area from total myocardial mass (%), night-time heart rate variability parameters — ULfP, TINN, SDANN.Conclusion. …”
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Exploring information technology utilization and needs in community pharmacies: a cross-sectional survey in Shanghai, China by Qin Li, Zhao Jin, Yun Liao, Huihua Dai, Jie Meng, Ling Li

“…Demographic data and information on pharmaceutical care practices were collected and analyzed to examine correlations between these factors and the need for IT support.Results963 out of 2,178 surveys were completed over 6 months. …”
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Effect of HBeAg/anti-HBe coexistence on HBeAg seroconversion in treatment-naïve chronic hepatitis B patients with peginterferon-α by Kaimin Song, Huitong Wang, Dawu Zeng, Yunyun Qian, Zhixiang Guo, Huatang Zhang, Yijuan Zheng, Yongjun Zhou, Xueping Yu, Zhijun Su

“…In addition, univariate and multivariate logistic regression analyses were performed to identify independent risk factors for HBeAg seroconversion. …”
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Expression and prognostic value of ferritinophagy-related NCOA4 gene in low-grade glioma: integration of bioinformatics and experimental validation by Guangtang Chen, Xueping Shi, Rukai Jiao, Jiacai Qian, Xiaolin Du, Jian Liu, Xi Zeng

“…NCOA4 correlated weakly with B cells, CD8 + T cells, macrophages, and dendritic cells infiltration (all with correlation coefficients r < 0.3, and p < 0.05) in LGG. Multivariate Cox regression identified NCOA4, age, CD8 T cells, and macrophages as LGG independent prognostic factors (all p < 0.05). …”
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Non-Susceptibility of Early-Onset Sepsis Pathogens to the Combination of Ampicillin and Gentamicin Among Neonates in Thailand by Anucha Thatrimontrichai, Pattima Pakhathirathien, Manapat Praditaukrit, Gunlawadee Maneenil, Supaporn Dissaneevate

“…Patients in the non-susceptible and susceptible groups were analyzed using a multivariable logistic regression model. …”
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Socioeconomic status and sleep duration among a representative, cross-sectional sample of US adults by Sarah Wetzel, Usama Bilal

“…Abstract Background Sleep is a crucial determinant of physical and mental health outcomes, and insufficient sleep is highly prevalent among United States adults. Although some risk factors of poor sleep have been extensively studied, including substance use, age, health behaviors, and others, the associations between socioeconomic status (SES) and sleep remain inconclusive. …”
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Effect of Stone Density, Skin-Stone Distance and Stone Size on Extracorporeal Shock Wave Lithotripsy Success of Ureter Stones: A Clinical Investigation by Erhan Erdoğan, Fatih Özçelik, Gül Kahraman, Mihriban Şimsek, Kemal Sarıca

“…Demographic characteristics [age, gender, and BMI (Body Mass Index)] and complete urinalysis parameters (pH, specific gravity, protein, leukocytes, erythrocytes, casts, and various crystal types) were recorded. The impact of these factors on ESWL success was statistically analyzed. …”
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Construction and Verification of Risk Predictive Nomogram in Patients of Connective Tissue Disease with Severe Pneumonia by Zhang C, Zou Z

“…Chuanrong Zhang,1 Zhonghui Zou2 1Department of Rheumatology and Immunology, Chongqing University Three Gorges Hospital, Chongqing, 404000, People’s Republic of China; 2Department of Cardiovascular Surgery, Chongqing University Three Gorges Hospital, Chongqing, 404100, People’s Republic of ChinaCorrespondence: Zhonghui Zou, Department of Cardiovascular Surgery, Chongqing University Three Gorges Hospital, No. 165 Xincheng Road, Wanzhou District, Chongqing, 404100, People’s Republic of China, Email zouzhonghui@sina.comPurpose: To construct Risk Predictive Nomogram in patients of connective tissue disease (CTD) with severe pneumonia.Methods: Eighty CID patients with severe pneumonia in rheumatology and respiratory department of chongqing University Three Gorges hospital from January 2020 to December 2022 were retrospectively reviewed and analyzed. Independent risk factors for severe pneumonia in CTD were screened by univariate and binomial logistic regression analysis. …”
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Parameter Optimization Design and Experimental Validation of a Header for Electric Rice Reaper Binders Employed in Hilly Regions by Jinbo Ren, Difa Bao, Zhi Liang, Chongsheng Yan, Junbo Wu, Xinhui Wu, Shuhe Zheng

“…Subsequently, we designed a quadratic regression orthogonal rotation combination experiment with three factors, i.e., the stem-lifting speed ratio coefficient, the cutter installation position, and the header tilt angle, using the stem-lifting angle as the evaluation metric. …”
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Incidence, predictors, and prognostic impact of reperfusion-related ventricular arrhythmias in STEMI patients undergoing primary percutaneous coronary intervention by Xi Wu, Mingxing Wu, Haobo Huang, Zhe Liu, He Huang, Lei Wang

“…Objectives This study aimed to evaluate the incidence, distribution, risk factors, and prognostic significance of reperfusion-related VAs in a contemporary STEMI population treated with PPCI. …”
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Effects of the pretransplant obesity on kidney transplant outcomes in Korea: a nationwide cohort study by Eun-Young Cho, You Hyun Jeon, Kyu Ha Huh, Seun Deuk Hwang, Sangil Min, Jaeseok Yang, Myoung Soo Kim, Yu Jin Seo, Jeong-Hoon Lim, Hee-Yeon Jung, Ji-Young Choi, Sun-Hee Park, Yong-Lim Kim, Jang-Hee Cho, Chan-Duck Kim, The Korean Organ Transplantation Registry Study Group

“…Cox proportional hazard regression analysis was employed to assess associations between BMI and posttransplant outcomes. …”
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Exploring the associations of plasma proteins with frailty based on Mendelian randomization by Shuhui Chen, Hao Lin, Bin Liu, Hejing Pan, Yaling Xu, Yingying Mao, Lin Huang

“…Results After false discovery rate (FDR) correction, MR analysis identified five plasma proteins, including BIRC2 [OR = 0.978, 95%CI (0.967–0.990)] and PSME1 [OR = 0.936, 95%CI (0.909–0.965)], as protective factors against frailty, and 49 proteins, including APOB [OR = 1.053, 95%CI (1.037–1.069)] and CYP3A4 [OR = 1.098, 95%CI (1.068–1.128)], as risk factors. …”
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