An auxiliary diagnostic strategy for distinguishing Guillain–Barré syndrome and chronic inflammatory demyelinating polyneuropathy: combining platelet-to-lymphocyte ratio and cerebr... by Simin Song, Yunfei Bai, Haoran Mu, Jianru Xiao, Wei Li, Yuying Zhao, Chuanzhu Yan, Jinfan Zheng, Caijing Wang, Qinzhou Wang

“…Inflammatory markers were analyzed. Binary logistic regression was performed to identify risk factors and establish a prediction model. …”
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Assessing mutation-clinical correlations and treatment outcomes in Vietnamese non-small cell lung cancer patients by Hoang-Bac Nguyen, Bang-Suong Nguyen-Thi, Huu-Huy Nguyen, Minh-Khoi Le, Quoc-Trung Lam, Tuan-Anh Nguyen

“…Pre-treatment samples were analyzed via massively parallel sequencing, and survival analysis assessed the impact of EGFR/KRAS mutations on survival and TKI response. …”
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Prevalence and Clinical Parameters Associated With Chronic Total Occlusions in Patients With Chronic Coronary Syndromes: Insights From a Nationwide Registry by Armin Attar, Mehrab Sayadi, Alireza Hosseinpour, Emmanouil S. Brilakis, Fereshte Mehdizade, Zahra Namvar, Alireza Khosravi, Maryam Boshtam, Feridoun Noohi, Ahmadreza Assareh, Toba Kazemi, Hossein Farshidi, Arsalan Khaledifar, Maryam Abbaszadeh, Nizal Sarrafzadegan

“…ABSTRACT Background and Aims The prevalence of coronary chronic total occlusions (CTO) among patients with chronic coronary syndrome (CCS) and their associations with clinical factors have received limited study. We analyzed a national database registry to determine the prevalence, location, and parameters associated with coronary CTOs. …”
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Association of <i>OPRM1</i> and <i>OPRD1</i> Polymorphisms with Pain and Opioid Adverse Reactions in Colorectal Cancer by Carolina Gutiérrez-Cáceres, Nikolas Ávila, Leslie C. Cerpa, Matías F. Martínez, Carlos E. Irarrazabal, Benjamín Torres, Olga Barajas, Nelson M. Varela, Luis A. Quiñones

“…These findings contribute to the understanding of pharmacogenomic factors in opioid therapy, emphasizing the need for further research to validate the clinical utility of these genetic markers.…”
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The value of triglyceride–glucose index–related indices in evaluating migraine: perspectives from multi–centre cross–sectional studies and machine learning models by Zixuan Yan, Lincheng Duan, Hong Yin, Muchen Wang, Jingwen Li, Chenghua Li, Xiao Wang, Dingjun Cai, Fanrong Liang, Wenchuan Qi

“…Methods Cross–sectional data were acquired from the National Health and Nutrition Examination Survey conducted between 1999 and 2004, as well as from the China Longitudinal Study of Health and Retirement (CHARLS) performed from 2011 to 2012. Weighted logistic regression analysis, subgroup analysis, smooth curve fitting and threshold effect analysis were used to ascertain the intricate relationships among triglyceride glucose–body mass index (TyG–BMI), triglyceride glucose–waist circumference (TyG–WC), triglyceride glucose–waist height ratio (TyG–WHtR) and migraine. …”
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Association between remnant cholesterol and low-density lipoprotein cholesterol discordance and type 2 diabetes or prediabetes: results from NHANES by Yijing Xin, Yimeng Wang, Yuyuan Shu, Hanyang Liang, Yanmin Yang

“…Significant interactions between LDL-C and RC discordance and factors such as age, MetS, and lipid-lowering medications were observed in relation to type 2 diabetes odds. …”
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Artificial intelligence technologies in predicting genetic disorders and in personalized primary and secondary prevention of brain infarction in young people by T. I. Dutova, I. N. Banin, N. A. Ermolenko

“…Pharmacogenetic investigations as well as venous blood tests were once performed in all the subjects to reveal a genetic predisposition to thrombophilia. Multiple regression analysis (ANOVA) has been used to calculate the prediction coefficients for the presence of pathological alleles.Results. …”
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Hormonal determinants of prehypertension in a random sample of St. Petersburg residents: data from the ESSE-RF study by A. M. Erina, M. A. Boyarinova, E. V. Moguchaya, E. P. Kolesova, E. Yu. Vasilyeva, A. S. Alieva, N. A. Paskar, O. P. Rotar, E. I. Baranova, A. O. Konradi, E. V. Shlyakhto

“…To determine the association of prehypertension (PHTN) with cardiometabolic and hormonal factors in a population sample of St. Petersburg residents.Material and methods. …”
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The association between chronic underlying diseases and the clinical characteristics in adult patients infected with Omicron BA.1 by Jingyu Wang, Yuechuan Cui, Henan Dong, Jie Zhao, Meng Wang, Chunlei Zhou, Hong Mu

“…Multivariable logistic regression results indicate that CUDs and advanced age (≥60 years old) are unfavorable factors for the increase in the severity of Omicron BA.1 infection [age (≥60 years old), OR = 2.96, 95 % CI: 1.35–6.50, P = 0.01; CUDs, OR = 2.78, 95 % CI: 1.65–4.70, P < 0.001]. …”
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Information management systems in the systematization of indicators for assessing the effectiveness of investment processes in the securities market by Yuliia Kovalenko, Tetyana Bilovus, Valentyna Unynets-Khodakivska, Sofiia Dombrovska, Anatolii Faizov, Viktoriia Baranova

“…The purpose of this study is to study the indicators for evaluating the effectiveness of the implementation of investment processes on the securities market, taking into account the scientific foundations of information management systems and analysis of indicators of financial efficiency of the investment function of the securities market in Ukraine.The relevance of this study is due to the growing importance of management information systems in all sectors of the Ukrainian economy, in particular, the provision of solutions to the problems of activating investment processes in the securities market of Ukraine by analyzing and reassessing the effectiveness of investment processes at this level, taking into account the scientific basis of management information systems. …”
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A Composite Index for Distinguishing Benign and Malignant Obstructive Jaundice by Peng H, Li J, Zhou X, Nong Z, Zhang R, Lu P, Ye S, Lei L, Qin C, Li J

“…The cases were divided into two groups: malignant and benign obstructive jaundice group. Logistic regression analysis was used to build a prediction model for judging the nature of obstructive jaundice, and the prediction model was verified using the validation cohort.Results: Multivariate analysis revealed that CEA, TBIL, and NLR were independent factors in malignant obstructive jaundice. …”
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Influence of odontogenic lesions on root development in impacted teeth: a cohort study by Selene Barone, Alessandro Antonelli, Antonio Madonna, Vincenzo Greco, Massimo Borelli, Francesco Bennardo, Amerigo Giudice, Lucia Cevidanes

“…Fisher's exact text was applied to compare the prevalence of dilaceration in both groups. In order to analyze the influence of each additional variable on dilaceration, a multivariate analysis was performed through logistic regression.ResultsRoot dilaceration was significantly more common in Group IwL (72.73%) than in Group IwoL (18.18%) (p = 0.030). …”
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Association of Hematological and Biochemical Parameters with Clinical Profile of COVID-19 Patients in Visakhapatnam, India by Himavathy Kodandarao Gara, Dharma Rao Vanamali, Adhikarla Surya Veeramani Kartheek

“…Timely management of patients with dismal prognosis may improve their clinical outcome. The study aimed to analyze the hematological and biochemical parameters among COVID-19 patients and the factors associated with laboratory changes and COVID-19 infection. …”
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Investigating the Relationship Between Anxiety and Depression With Disease-related Lifestyle in Elderly Patients With Prostate Cancer by Reyhane Karegar-Niavol, Zahra Fotokian, Fatemeh Ghaffari, Ali Saravi, Farzan Kheirkhah

“…The statistical tests of analysis of variance, independent t-test, Pearson correlation coefficient, and multiple regression were used to analyze data in SPSS software, version 18 software. …”
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ASSESSMENT OF THE EFFECTS OF CLIMATE CHANGE ON THE LIVELIHOODS AND ADAPTATION STRATEGIES OF RURAL WOMEN IN KWARA STATE, NIGERIA by O. J. Yusuf, L. K. Olatinwo, O. E. Aiyedun

“…This study investigated the effects of climate change on the livelihoods and adaptation strategies of rural women in Kwara State, Nigeria, analyzing data from 124 women farmers through a structured questionnaire and employing descriptive statistics and regression analysis. …”
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The Effect of Competence, Workload and Compensation on the Performance of Family Assistance Team (FAT) Cadres in Reducing the Risk of Stunting in the Buleleng District Area by I Putu Aprilia Pratama, Henry Sudiyanto, Eka Diah Kartiningrum, Sulis Diana

“…The results of data analysis were carried out using multiple linear regression. …”
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Establishment and Validation of a Machine‐Learning Prediction Nomogram Based on Lymphocyte Subtyping for Intra‐Abdominal Candidiasis in Septic Patients by Jiahui Zhang, Wei Cheng, Dongkai Li, Guoyu Zhao, Xianli Lei, Na Cui

“…A machine‐learning random forest model was used to select important variables, and multivariate logistic regression was used to analyze the factors influencing IAC. …”
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Association Between Abnormal Body Weight and Physical Fitness Levelsin Chinese Older Adults: Findings from the 5th National PhysicalFitness Surveillance in China by FAN Chaoqun, WANG Mei, FENG Qiang, WANG Jingjing, WU Dongming, SUN Zonghao, ZHU Jiarong, WU Yini

“…After adjusting for demographic factors (including age, sex, urban/rural residence, education level, pre-retirement occupation, marital status, exercise habits, smoking, sleep quality, and self-rated fitness), binary Logistic regression was used to analyze the association between physical fitness indicators and abnormal weight.ResultsA total of 39 927 older adults aged 60-79 years were included, comprising 19 777 men (49.5%) and 20 150 women (50.5%), with a mean age of 69.2±5.6 years. …”
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High expression of TIG3 predicts poor survival in patients with primary glioblastoma by Hongxiang Wang, Hanchong Xu, Tao Xu, Cong Tan, Mei Jiang, Yihong Chen, Xinyu Hu, Jinxu Zhou, Junyan Shen, Rong Qin, Daiyu Hu, Qilin Huang, Min Wang, Lian Wang, Dongxia Duan, Yong Yan, Juxiang Chen

“…Finally, Kaplan–Meier analysis and Cox regression analysis identified high TIG3 expression as an independent risk factor for overall survival of primary glioblastoma patients (overall survival, 10 vs 13 months, p = 0.033; hazard ratio = 1.542, p = 0.046). …”
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Lung ultrasound (LUS) as a predictor of delirium in elderly patients with COVID-19 during hospitalization: A geriatric vulnerability-stress model by Thomas Fraccalini, MD, Isa Rita Bergoglio, MD, PhD, Gianfranco Fonte, MD, PhD, Andrea Trogolo, MD, Alessandro Maraschi, MD, Thomas Roberts, Beatrice Tarozzo, PsyD, Beatriz Vitorino, MS, Julia Michelin Vecchini, MS, Santoro Mariangela, MD, Monica Traversa, MD, PhD, Teresa Crea, MD, Luciano Cardinale, MD, PhD, Giuseppe Maina, MD, Valerio Ricci, MD, PhD, Elisa Binello, CNO, Reald Turja, NU, Federico Mallamaci, NU, Giovanni Volpicelli, MD

“…A LUS score >3 (sensitivity 74 %, specificity 82 %) best predicted delirium. Multivariate analysis confirmed LUS >3 (OR=4.22, p = 0.023) and lower MMSE (OR=0.87, p = 0.007) as independent risk factors. …”
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