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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Serum detection of blood brain barrier injury in subjects with a history of stroke and transient ischemic attack by Scott French, Juan Arias, MD, Ikeoluwapo Bolakale-Rufai, MD, Summan Zahra, MD, Kaneez Zahra Rubab Khakwani, MD, Edward J. Bedrick, PhD, Geidy E. Serrano, PhD, Thomas G. Beach, MD, PhD, Eric Reiman, MD, Craig Weinkauf, MD, PhD

“…Results: Serum PDGFRẞ, a putative biomarker of BBB injury, was significantly increased in subjects with vs without a history of CVA who had similar cardiovascular risk factors (P < .01). This difference was stable after adjusting for age, hypertension, and other potential confounders in regression analysis (odds ratio, 27.02; 95% confidence interval, 2.61-411.7; P < .01). …”
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Beta-human chorionic gonadotropin, carbohydrate antigen 19-9, cancer antigen 125, and carcinoembryonic antigen as prognostic and predictive biological markers in bladder cancer by Hyeong Dong Yuk, Hyeong Dong Yuk, Jang Hee Han, Jang Hee Han, Seung-Hwan Jeong, Seung-Hwan Jeong, Chang Wook Jeong, Chang Wook Jeong, Cheol Kwak, Cheol Kwak, Ja Hyeon Ku, Ja Hyeon Ku

“…Using the Cox multivariate regression analysis, both β-hCG (HR: 3.88, 95% CI: 1.43–10.25) and CA125 (HR: 6.21, 95% CI: 1.34–32.16) were found to be significant independent factors for predicting OS and RFS. …”
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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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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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Efficacy and Safety of Sotrovimab Versus Oral Antiviral for Early Treatment in High-Risk Patients in Omicron Era: A Multicenter Retrospective Study by Antonio Russo, Mariantonietta Pisaturo, Chiara Cacace, Augusta Troise, Gabriele Granata, Pierantonio Grimaldi, Enrico Allegorico, Francesca Ambrisi, Martina Papillo, Fabio Giuliano Numis, Nicola Coppola

“…Logistic regression models identified predictors of key outcomes. …”
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Development and validation of a 16-gene T-cell- related prognostic model in non-small cell lung cancer by Anbing Zhang, Anbing Zhang, Huang Ting, Huang Ting, Jun Ma, Jun Ma, Xiuqiong Xia, Xiaoli Lao, Xiaoli Lao, Siqi Li, Jianping Liang, Jianping Liang

“…BackgroundNon-small cell lung cancer (NSCLC) exhibits variable T-cell responses, influencing prognosis and outcomes.MethodsWe analyzed 1,027 NSCLC and 108 non-cancerous samples from TCGA using ssGSEA, WGCNA, and differential expression analysis to identify T-cell-related subtypes. …”
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The effects of offering adequate-quality or high-quality colostrum on the passive immunity, health, growth, and fecal microbiome development of dairy heifer calves by Anna Flynn, John Leech, Marie McFadden, Catherine McAloon, John Paul Murphy, Fiona Crispie, Paul D. Cotter, Conor McAloon, Emer Kennedy

“…Serum IgG at 24 h, weight, and health data were analyzed in SAS using linear mixed models and logistic regression. …”
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MAZ-mediated N6-methyladenosine modification of ZEB1 promotes hepatocellular carcinoma progression by regulating METTL3 by Di Li, Li Xu, Ruyuan Liu, Zhaonv Yao, Chuanjun Zheng, Song Jin, Xuefeng Guo, Zhengbao Zhang, Shengkui Tan, Xiaonian Zhu

“…Moreover, MAZ could bind to the promoters of key m6A enzymes, and multivariate Cox regression analysis suggested that MAZ and METTL3 expression were independent risk factors for the survival of HCC patients. …”
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Age, Growth, Sex Composition, and Diet of the Burbot, <i>Lota lota</i>, the Only Freshwater Species of the Family Lotidae in the Amur (Heilongjiang) River, Northeast China by Lei Li, Huili Shao, Pavel B. Mikheev, Zepeng Zhang, Hongyu Jin, Wanqiao Lu

“…Information on the biological characteristics and data on the population structure of this fish from the Amur River are scarce. To study these factors in burbot, <i>Lota lota</i>, in the Amur River of China, 749 specimens from four sampling areas were taken and analyzed in October 2022, January 2023, and May 2023. …”
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Oxidative balance score and its association with chronic inflammatory airway diseases and mortality: a population-based study by Zhuanbo Luo, Shiyu Chen, Peixu Chen, Feng Qiu, Weina Huang, Chao Cao

“…In cross-sectional studies, the association between OBS and the prevalence of total and specific CIAD was examined using multiple logistic regressions. Dose–response relationships were analyzed through restricted cubic spline regression (RCS). …”
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Insight on the relationship between heart rate variability parameters and the risk of stroke among non-valvular paroxysmal atrial fibrillation patients by Yaohua Bu, Fabrice Yves Ndjana Lessomo, Zhiquan Wang

“…These new metrics, combined with conventional risk factors and CHA2DS2-VASc score, brought great improvement to the model prediction for AIS risk.…”
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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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Geriatric nutritional risk index and body composition dictate the prognosis of elderly patients with intrahepatic cholangiocarcinoma by Sheng Wang, Luo Cheng, Lei Dou, Yuanli Kuang, Yang Huang, Tao Wen, Lei Xiang, Wenyuan Xie, Cheng Zhang, Dewei Li, Hui Li

“…Low GNRI was also a strong predictor of poor prognosis (p &lt; 0.001). Multivariate analysis identified low GNRI (p = 0.009), sarcopenia (p = 0.020), visceral adiposity (p = 0.033), and intramuscular fat deposition (p = 0.036) as independent prognostic factors for OS and RFS. …”
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Clinical manifestations in patients with anti-IFN-γ autoantibodies syndrome and Talaromyces marneffei infection: a prospective cohort study by Hanlin Liang, Siqiao Liang, Siyao Wu, Ni Chen, Xuemei Huang, Qiangxiu Zeng, Yan Ning, Zengtao Luo, Xiaona Liang, Zhiyi He

“…The multivariable Cox regression analysis indicated that dyspnea and bloodstream infection are significant risk factors for the exacerbation of AIGAs-Positive Patients with TM Infection (P < 0.05). …”
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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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Epidemiology of neonatal disorders attributable to low birthweight-global burden of disease research, 1990–2021 by Qi Zhang, Lan Luo, Lai-lai Yan, Lai-lai Yan, Jing Guo, Hui-jun Wu, Zi-wei Zhang, Yu-hua Zhu, Rui Qiao, Rui Qiao

“…Trends and influencing factors were investigated through Joinpoint regression, health inequality analysis, and frontier modeling.ResultsIn 2021, the global age-standardized mortality rate (ASMR) and age-standardized disability-adjusted life year (DALY) rate (ASDR) for neonatal diseases associated with low birth weight (LBW) were 22.76 [95% uncertainty interval (UI): 19.63–26.40] and 2,227.54 (95% UI: 1,939.96–2,563.52) per 100,000, respectively. …”
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The appearance of scalp high‐frequency oscillations is associated with poor seizure control in pediatric epilepsy patients by Keisuke Maeda, Nami Hosoda, Himari Tsuboi, Honoka Naito, Chiaki Kudo, Junichi Fukumoto, Shiho Fujita, Naohiro Ichino, Keisuke Osakabe, Keiko Sugimoto, Shunta Yamaguchi, Naoko Ishihara

“…We calculated the odds ratios (ORs) for scalp HFO and spike appearance according to seizure control status by multiple logistic regression analysis. Results Scalp HFO was seen more commonly and with a significantly higher detection rate in patients with poor seizure control as compared with patients with good seizure control for both ripple and fast ripple. …”
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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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