Correlation study of CAR, PLR, NLR with the prognosis of cardiogenic cerebral embolism patients by Xiaojing Du, Xiaohui Li, Sheng Yue, Yuzhen Sun, Mengzhen Zhao, Lingshan Zhou, Xingwei Wang, Yapan Yang

“…Multivariate analysis identified CAR and NLR as independent risk factors for unfavorable prognosis (OR = 1.034 for CAR, OR = 3.887 for NLR). …”
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Enhanced expression of ten‐eleven translocation 1 reverses gemcitabine resistance in cholangiocarcinoma accompanied by a reduction in P‐glycoprotein expression by Chuanxu Wang, Hua Ye, Lei Zhang, Yayu Cheng, Shifeng Xu, Ping Zhang, Zijie Zhang, Jimin Bai, Fangkang Meng, Lin Zhong, Guangjun Shi, Hao Li

“…Furthermore, multivariate Cox regression analysis indicated that TET1 expression and TNM stage were independent risk factors (P < 0.001) for the clinical outcomes of CCA patients with chemotherapy. …”
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Gut microbiome is associated with radiotherapy response in lung cancer patients with brain metastases by Fei Liang, Yichu Sun, Jing Yang, Ziqiang Shen, Guangfeng Wang, Jiangrui Zhu, Chong Zhou, Youyou Xia, Youyou Xia

“…Logistic regression analyses were performed to evaluate the predictive capacity of clinical and microbial factors for treatment outcomes.ResultsNo significant difference in α-diversity was observed between the groups (P &gt; 0.05), but β-diversity differed significantly (P = 0.036). …”
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High expression of SOX10 is correlated with poor prognosis and immune infiltrates in skin cutaneous melanoma by Xu Sun, Yi-ming Cheng, Meng-wei Sun, Xu-dong Zhang, Xiao-yu Yu, Hai-bo Wang, Yi-fei Wang, Ning Li

“…The forest plot results showed that only OCA2 and TRAT1 had statistical significance (P &lt; 0.05) by multi-factor COX regression analysis. SOX10, OCA2, TRAT1, pathologic stage, age and breslow depth were included in the nomogram prognostic model. …”
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Association between cumulative uric acid exposure and metabolic dysfunction-associated fatty liver disease by Yunpeng Li, Hong Ji, Fei Tian, Xinyu Ge, Liying Cao, Xiangming Ma

“…Conclusion This study found that cum UA is an independent risk factor for MAFLD. In this longitudinal cohort analysis, both the cumulative incidence and the risk of developing MAFLD increased as the cum UA level rose. …”
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Discrete Element-Based Design of a High-Speed Rotary Tiller for Saline-Alkali Land and Verification of Optimal Tillage Parameters by Shuai Zheng, Tong Lu, Jie Liu, Yu Tian, Miaomiao Han, Muhao Tai, Shuqi Gao, Tao Liu, Dongwei Wang, Zhuang Zhao

“…The average operating speed is higher than that of the ordinary rotary tiller. We analyzed the rotary tiller operating conditions and rotary tiller knife cutting process and conducted a movement trajectory theoretical analysis to determine the rotary tiller’s high-speed operating speed relationship. …”
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The response to anti-seizure medications and the development of pharmacoresistant epilepsy in malformations of cortical development by Pu Miao, Meiping Ying, Ruotong Chen, Yuyu Yang, Yao Ding, Junming Zhu, Jianhua Feng, Jin Wang, Thandar Aung, Shuang Wang, Bo Jin

“…The clinical features of group I and group II were compared. Factors associated with PRE were analyzed. The time to development of PRE with different ASMs was assessed using Kaplan–Meier survival analysis. …”
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Estimation of inspiratory muscle effort using three common indices in various respiratory models, a bench study by Joshua Hu, Osama Hasan, Kazushige Shiraishi, Yusuke Hirao, Ehab Daoud

“…Each index was measured to the inputted Pmus, which ranged from 1 to 30 cmH2O and increased by increments of 1. Results were analyzed using Pearson correlation and regression analysis to predict an associated formula. …”
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Predictors of Response to 24-Week Telaprevir-Based Triple Therapy for Treatment-Naïve Genotype 1b Chronic Hepatitis C Patients by Hiroshi Abe, Akihito Tsubota, Noritomo Shimada, Masanori Atsukawa, Keizo Kato, Koichi Takaguchi, Toru Asano, Yoshimichi Chuganji, Choitsu Sakamoto, Hidenori Toyoda, Takashi Kumada, Tatsuya Ide, Michio Sata, Yoshio Aizawa

“…The baseline and treatment-related factors potentially associated with SVR were determined by multivariate logistic regression analysis. …”
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Effectiveness of Japanese traditional medicine (Kamikihito and Saikokeishito) for treating long COVID: a prospective observational study by Rie Ono, Rie Ono, Rie Ono, Shin Takayama, Shin Takayama, Shin Takayama, Ryutaro Arita, Ryutaro Arita, Ryutaro Arita, Kota Ishizawa, Akiko Kikuchi, Akiko Kikuchi, Akiko Kikuchi, Michiaki Abe, Minoru Ohsawa, Minoru Ohsawa, Minoru Ohsawa, Natsumi Saito, Natsumi Saito, Takeshi Kanno, Koh Onodera, Koh Onodera, Koh Onodera, Tadashi Ishii, Tadashi Ishii, Tadashi Ishii

“…The formulations and factors associated with QOL changes were analyzed using multivariate logistic regression analyses.ResultsWe analyzed 112 patients. …”
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Safety of dupilumab in Chinese pediatric patients aged 6 months and older: a prospective real-world study by Yanhua Chen, Jiang Ni, Ming Li, Yuan Hong, Kouzhu Zhu, Rong Hong, Li Deng, Zhijie Li, Jie Pu, Ting Yang, Yan Wang

“…Multivariate logistic regression analysis showed that age [odds ratio [OR]: 0.071, 95% confidence interval [CI]: 0.012–0.433; P = 0.004] and frequency of dupilumab use (OR: 3.306, 95% CI: 1.078–10.135; P = 0.036) were risk factors for adverse effects. …”
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Lower dietary folate intake increases the risk of autoimmune thyroiditis by Lijun Chen, Changjian Yan, Yingxuan Lin, Liqun Huang, Chunling Huang, Zhida Wei, Hongli Lin, Xiaohong Wu, Ruhai Lin, Zhengrong Jiang, Huibin Huang

“…Univariate and multivariate logistic regression models were employed to examine the relationship between AIT risk and various factors, including demographics, complete blood count, blood biochemistry parameters, thyroid function test, urinary iodine concentration, as well as intakes of vitamin B12 and folate. …”
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Development and validation of a 14-CpG DNA methylation signature and drug targets for prognostic prediction in breast cancer by Bao-xing Tian, Zhi-xi Yu, Xia Qiu, Li-ping Chen, Yu-lian Zhuang, Qian Chen, Yan-hua Gu, Meng-jie Hou, Yi-fan Gu

“…Kaplan–Meier (KM) survival analysis, receiver operating characteristic (ROC) analysis, and nomogram validation confirmed the clinical value of the signature. …”
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Geographical Spatial Pattern and Spatiotemporal Suitability Evolution of Cultural Heritage in the Liao River Basin by Jingcheng YUAN, Bijiao LI, Sifan QIU

“…The data are analyzed using spatial statistical techniques and historical mapping, with the primary methods being described as follows: spatiotemporal analysis employs standard deviation ellipses and kernel density estimation to analyze distribution and density ; spatial autocorrelation analysis utilizes Global Moran’s I and Local Moran’s I to assess spatial clustering and dispersion; environmental modeling incorporates elevation and slope buffers as well as DEM-derived landforms to assess the influence of natural geography on the spatial distribution of heritage sites; historical layering analysis focuses on policy maps to track how institutional changes and infrastructure development influence the distribution of heritage sites. …”
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Combining biomarkers to predict the disease activity of graves’ ophthalmopathy: a combinatory model of the NLR, TRAb and FT4 by Tongxin Niu, Tongxin Niu, Tongxin Niu, Lujue Wang, Lujue Wang, Lujue Wang, Jing Deng, Jing Deng, Jing Deng, Yuxian Shi, Yuxian Shi, Yuxian Shi, Yating Liu, Yating Liu, Yating Liu, Boding Tong, Boding Tong, Boding Tong, Xin Qi, Xin Qi, Xin Qi, Dan Cao, Dan Cao, Dan Cao, Yunping Li, Yunping Li, Yunping Li

“…Laboratory and other clinical indicators were compared in GO patients at different stages and healthy controls. A multivariate regression analysis model was used to analyze the clinical risk factors affecting the occurrence and progression of active GO, and a predictive model based on risk factors was established.ResultsHigher WBC, NEU, NLR, TRAb and FT4 levels (all p&lt;0.005) were detected in patients with active GO than those in inactive GO. …”
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Personalized prediction of esophageal cancer risk based on virtually generated alcohol data by Oswald Ndi Nfor, Pei-Ming Huang, Ming-Fang Wu, Ke-Cheng Chen, Ying-Hsiang Chou, Mong-Wei Lin, Ji-Han Zhong, Shuenn-Wen Kuo, Yu-Kwang Lee, Chih-Hung Hsu, Jang-Ming Lee, Yung-Po Liaw

“…Its etiology is multifactorial, involving both genetic predispositions and lifestyle factors. Methods This study aimed to develop a personalized risk prediction model for EC by integrating genetic polymorphisms (rs671 and rs1229984) with virtually generated alcohol consumption data, utilizing advanced artificial intelligence and machine learning techniques. …”
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Association between Parent’s Metabolic Syndrome and 12- to18-Year-Old Offspring’s Overweight: Results from the Korea National Health and Nutrition Examination Survey (K-NHANES) 200... by Na Yeong Lee, Kyungdo Han, Yoonji Lee, Seulki Kim, Seonhwa Lee, Yujung Choi, Moon bae Ahn, Shin Hee Kim, Won Kyoung Cho, Kyoung Soon Cho, Min Ho Jung, Yong-Gyu Park, Byung-Kyu Suh

“…In multivariate logistic regression analysis, offspring’s overweight was significantly and positively associated with parental central obesity (PP, adjusted odds ratio (OR) = 1.593; 95% confidence interval (CI): 1.192–2.128; MP, adjusted OR = 2.221, 95% CI: 1.755–2.812) and parental metabolic syndrome (PP, adjusted OR = 2.032; 95% CI: 1.451–2.846; MP, adjusted OR = 2.972, 95% CI: 2.239–3.964). …”
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Higher baseline platelet and preoperative platelets to lymphocytes ratio was associated with a higher incidence of axillary node pathologic complete response after neoadjuvant chem... by Shuai Yang, Guanying Liang, Junyi Sun, Lingbing Yang, Zitong Fu, Wantong Sun, Bo Wei, Abiyasi Nanding, Qin Wang, Shouping Xu

“…Univariate and multivariate logistic regression analyses were conducted to analyze factors influencing axillary pCR. …”
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Clinical value of urinary sediment plus urinary markers in the diagnosis of renal injury after percutaneous nephrolithotripsy by Niu Zhong-tao, Liu Ya-hong, Yuan Hong-yi, Hao Qiang, Li Dong-shun, Qiao Yu-hua

“…ObjectiveTo explore the clinical value of urinary sediment plus urinary markers in the diagnosis of renal injury after percutaneous nephrolithotomy.MethodsFrom June 2018 to February 2021，a total of 168 patients with renal calculi were recruited for percutaneous nephrolithotomy.Blood and urinary biochemical parameters were measured and urine sediment microscopic examinations conducted.They were divided into two groups of injury and uninjured according to whether or not renal injury occurred postoperatively.Multivariate Logistic regression was utilized for examining the risk factors of postoperative renal injury.Receiver operating characteristic curve （ROC） was employed for analyzing the diagnostic value of each index for postoperative renal injury.ResultsThe preoperative blood creatinine level ［（123.76±22.72） μmol/L <italic>vs</italic> （92.62±17.53） μmol/L］，preoperative urinary sediment score （0.67±0.17） <italic>vs</italic> （0.54±0.13） and urinary β2-microglobulin （β2-MG） ［（156.57±31.59） μg/L <italic>vs</italic> （140.14±29.27） μg/L］，neutrophil gelatinase associated lipocalin （NGAL） ［（62.57±10.59） μg/L <italic>vs</italic> （50.14±9.43） μg/L］ and lactic dehydrogenase （LDH） ［（86.57±15.59） U/L <italic>vs</italic> （76.14±11.27） U/L］ were significantly higher in injury group than those in uninjured group （<italic>P</italic>&lt;0.05）.The preoperative urine sediment scores （2.74±0.56 <italic>vs</italic> 1.36±0.27），urinary β2-MG ［（252.54±44.29） μg/L <italic>vs</italic> （174.57±36.58） μg/L］，NGAL ［（152.54±14.59） μg/L <italic>vs</italic> （64.54±16.59） μg/L］ and LDH ［（142.48±21.29） U/L <italic>vs</italic> （94.57±16.58） U/L］ of two groups showed a rising trend after treatment and the changes of injured group were significantly higher than those of uninjured group （<italic>P</italic>&lt;0.001）.Logistic regression analysis showed that preoperative blood creatinine，urinary sediment score，β2-MG，NGAL and LDH （<italic>OR</italic>=2.540，2.307，1.964，1.702，2.164； 95%<italic>CI</italic>：1.242-5.193，1.223-4.354，1.123-3.434，1.259-2.302，1.216-3.851） were risk factors for postoperative renal injury （<italic>P</italic>&lt;0.05）.AUC of urinary sediment score，β2-MG，NGAL and LDH for diagnosing postoperative renal injury were 0.801，0.827，0.791 and 0.772 （95%<italic>CI</italic>：0.729-0.873，0.751-0.904，0.705-0.878，0.698-0.846），Each was significantly lower than 0.875 of combined diagnosis （95%<italic>CI</italic>：0.819-0.931）.The differences were statistically significant （<italic>P</italic>&lt;0.05）.ConclusionPreoperative urinary sediment score，urine markers （β2-MG，NGAL &amp; LDH） are correlated with renal injury after percutaneous nephrolithotomy.And combined detection may improve the diagnostic efficiency of renal injury.…”
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Magnitude and determinants of drug-related problems among patients admitted to medical wards of southwestern Ethiopian hospitals: A multicenter prospective observational study. by Firomsa Bekele, Tesfaye Tsegaye, Efrem Negash, Ginenus Fekadu

“…Multivariable logistic regression was used to analyze the associations between the dependent variable and independent variables.…”
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