Local cerebral neurofilament light chain during acute stage is associated with clinical outcomes in stroke patients receiving endovascular thrombectomy by Kunxin Lin, Youliang Wang, Wenlong Zhao, Yiru Zheng, Xiaohua Sun, Ling Fang, Ying Fu, Ning Wang, Qianqian Lin

“…High local NfL could independently predict mortality (OR, 2.431; 95% CI, 1.099–5.378, p = 0.028) and functional outcome towards worse outcome at 90 days (OR, 2.596; 95% CI, 1.267–5.312, p = 0.009) after multivariable regression analysis. Conclusions Our study suggested that elevated baseline local NfL accumulated in the ischemic vasculature might be a promising predictor for increased adverse clinical outcome of patients receiving EVT.…”
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Campylobacter infection presenting as pseudo-appendicitis in children: identifying predictors for early diagnosis by Michael Schnapper, Michael Schnapper, Yaara Kahan, Yaara Kahan, Amir Klivitsky, Amir Klivitsky, Alex Guri, Alex Guri, Rachel Shatzman Steuerman, Rachel Shatzman Steuerman, Rachel Shatzman Steuerman, Maya Heled Akiva, Maya Heled Akiva, Diana Tasher, Diana Tasher

“…Each case was matched with 2 controls with confirmed appendicitis. Multivariable logistic regression analysis was conducted to determine the potential predictors for pseudo-appendicitis.ResultsFifty-five cases of pseudo-appendicitis were compared with 110 cases of appendicitis. …”
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Pneumorrhachis with spontaneous pneumomediastinum in pediatric patients: An 11-year retrospective study in Southern Taiwan by Yu-Tang Chang, Chieh-Ni Kao, Yu-Ling Huang, Hung-Hsing Chiang, Jui-Ying Lee, Hsien-Pin Li, Po-Chih Chang, Shah-Hwa Chou, Yu-Wei Liu

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Hyperglycemia Is Associated With Computed Tomography Perfusion Core Volume Underestimation in Patients With Acute Ischemic Stroke With Large‐Vessel Occlusion by Arash Niktabe, Juan Carlos Martinez‐Gutierrez, Sergio Salazar‐Marioni, Rania Abdelkhaleq, Juan Carlos Rodriguez Quintero, Jerome A. Jeevarajan, Muhammad Bilal Tariq, Ananya S. Iyyangar, Hussain M. Azeem, Anjan Nagesh Ballekere, Ngoc Mai Le, Louise D. McCullough, Sunil A. Sheth, Youngran Kim

“…Compared with those with no underestimation, patients with underestimation had elevated blood glucose (median, 119 [IQR, 103–155] versus 138 [IQR, 117–195] mg/dL; P = 0.002) and HgbA1c (median, 5.80% [IQR, 5.40–6.40] versus 6.40% [IQR, 5.50–7.90]; P = 0.009). In multivariable analysis, underestimation was independently associated with elevated glucose (adjusted odds ratio [OR], 2.10; P = 0.038) and HgbA1c (adjusted OR, 2.37; P = 0.012). …”
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Adipose tissue characteristics as a new prognosis marker of patients with locally advanced head and neck cancer by Larissa Ariel Oliveira Carrilho, Fabiana Lascala Juliani, Rafaella Caroline de Lellis Moreira, Livia Dias Guerra, Fernanda Silva Santos, Daniela Morais de Holanda Padilha, Daniela Morais de Holanda Padilha, Sandra Regina Branbilla, Vivian Naomi Horita, Davi Magalhães Leite Novaes, Lígia Macedo Antunes-Correa, Carmem Silvia Passos Lima, Maria Carolina Santos Mendes, José Barreto Campello Carvalheira

“…Additionally, patients with low muscularity had worse OS in the multivariable analysis (HR: 1.77, 95% CI: 1.01–3.07; p = 0.044).ConclusionIn patients with locally advanced HNC, our findings underscore the significance of elevated adiposity, beyond maintained muscularity, as independent protective factors for overall survival. …”
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Prediction of Clinical Bronchiectasis from Asymptomatic Radiological Bronchiectasis by Fan Y, Li Z, Jiang N, Zhou Y, Song J, Yu F, Zhang J, Wang X

“…LASSO algorithm and multivariable logistic regression analysis were performed to construct a new nomogram model. …”
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Prognostic and predictive value of tumor infiltration proportion within lymph nodes in N1 colorectal cancer by Rujie Chen, Jun Zhu, Jun Zhu, Dong Xu, Xiaoyan Fan, Yihuan Qiao, Xunliang Jiang, Jun Hao, Yongtao Du, Xihao Chen, Guo Yuan, Jipeng Li, Jipeng Li

“…Univariable and multivariable Cox regression analyses were conducted to identify independent prognostic factors and to develop a nomogram for predicting patient outcomes. …”
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Baseline fibroblast growth factor 23 predicts incident heart failure and cardiovascular mortality in patients with chronic kidney disease: A 3-year follow-up study by Ying Wang, Dingxin Zhang, Runzhe Zhou, Xiangjie Yang, Xiaoxia Wang, Yuxin Jiang, Xinyuan Zhou, Dashan Li, Jin Zhang, Yonggui Wu

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The Association of Statin Therapy with Liver and Pancreatic Fat Fraction in Type 2 Diabetes Mellitus by Mehmet Akif Parlar, Hakan Mutlu, Betül Doğantekin, İsmail Serhat Musaoğlu, Nisa Demirboşnak Albayrakoğlu, Mustafa Lütfi Yavuz, Zehra Buşra Özbolat, Mustafa Kaplan

“…Variations in PFF were associated with the use of various statins (non-statin group: 6.2 vs. atovastatin: 8.7 vs. rosuvastatin: 3.2 vs. pitavastatin: 9.2, <i>p</i> = 0.004). The multivariable regression analysis indicated that insulin usage decreased log(LFF) by a factor of 0.16-fold (ꞵ ± SE = −0.16 ± 0.05, <i>p</i> = 0.010), and rosuvastatin usage reduced log(PFF) by 0.16-fold (ꞵ ± SE = −0.16 ± 0.07, <i>p</i> = 0.025), irrespective of other risk factors. …”
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Transcranial Doppler microemboli and acute brain injury in extracorporeal membrane oxygenation: A prospective observational studyCentral MessagePerspective by Giorgio Caturegli, BS, Shrey Kapoor, BS, Vladimir Ponomarev, RVS, Bo Soo Kim, MD, Glenn J.R. Whitman, MD, Wendy Ziai, MD, MPH, Sung-Min Cho, DO, MHS, Lucy Q. Zhang, MD, Yunis Mayasi, MD, Aaron Gusdon, MD, Bahattin Ergin, RVT, Steven Keller, MD, Matthew Acton, MD, Hannah Rando, MD, Diane Alejo, Kate Calligy, RN, Scott Anderson, Benjamin Shou, BS, Pedro A. Mendez-Tellez, MD, Henry Chang, MD, PhD, Marc Sussman, MD, Christopher Wilcox, DO, MS, Patricia Brown, RD-AP, CNSC, Anna Peeler, RN

“…However, clinical associations and significance of TCD MES remain unresolved and warrant further correlation with systematic imaging and long-term neurologic follow-up.…”
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Characterizing Nonculprit Lesions and Perivascular Adipose Tissue of Patients Following Acute Myocardial Infarction Using Coronary Computed Tomography Angiography: A Comparative St... by Xiaomeng Wang, Ching H. Sia, Philip D. Adamson, Charlotte E. Greer, Weimin Huang, Hwee K. Lee, Shuang Leng, Yan T. Loong, Nur A. S. Raffiee, Swee Y. Tan, Sock H. Tan, Lynette L. S. Teo, Sung L. Wong, Xiaoxun Yang, Min S. Yew, Thon H. Yong, Liang Zhong, Leslee J. Shaw, Mark Y. Y. Chan, Derek J. Hausenloy, Lohendran Baskaran

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Cross-sectional association between the isocaloric replacement of carbohydrates with protein and fat in relation to fat compartments distribution and hepatic lipid content in recen... by Alexander Lang, Edyta Schaefer, Yuliya Kupriyanova, Janina Goletzke, Katharina S. Weber, Anette E. Buyken, Sabine Kahl, Oana-Patricia Zaharia, Christian Herder, Vera B. Schrauwen-Hinderling, Oliver Kuss, Robert Wagner, Michael Roden, Sabrina Schlesinger, German Diabetes Study Group

“…SAT and VAT were measured with magnetic resonance (MR) imaging, while HL content with 1H MR spectroscopy. …”
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Development and retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies: study protocol by Martin Eklund, Brett Delahunt, Lars Egevad, Hemamali Samaratunga, Mattias Rantalainen, Marcello Gambacorta, Einar Gudlaugsson, Bodil Ginnerup Pedersen, Xiaoyi Ji, Karina Dalsgaard Sørensen, Kelvin Szolnoky, Nita Mulliqi, Anders Blilie, Henrik Olsson, Matteo Titus, Geraldine Martinez Gonzalez, Sol Erika Boman, Masi Valkonen, Svein Reidar Kjosavik, José Asenjo, Paolo Libretti, Marcin Braun, Radzislaw Kordek, Roman Łowicki, Kristina Hotakainen, Päivi Väre, Benedicte Parm Ulhøi, Pekka Ruusuvuori, Toyonori Tsuzuki, Emilius Adrianus Maria Janssen, Kimmo Kartasalo

“…The protocol adheres to Transparent Reporting of a multivariable prediction model of Individual Prognosis Or Diagnosis+AI (TRIPOD+AI), Protocol Items for External Cohort Evaluation of a Deep Learning System in Cancer Diagnostics (PIECES), Checklist for AI in Medical Imaging (CLAIM) and other relevant best practices.Ethics and dissemination Data collection and usage were approved by the respective ethical review boards of each participating clinical laboratory, and centralised anonymised data handling was approved by the Swedish Ethical Review Authority. …”
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Comparison of Survival After Treatment of Presumed Intracranial Meningioma by Radiotherapy or Surgery in 285 Dogs by Rachel Geiger, Joe Mankin, Holger A. Volk, Steven deDecker, Nate vanAsselt, Karanbir Randhawa, Tara Ehling, Charles A. Maitz, Ada Naramor, Joan R. Coates, Catherine Stalin, Lauren Johnstone, Joanna Morris, Ioannis N. Plessas, Alexander Forward, Laurent Garosi, Elena Scarpante, Giunio Cherubini, Tom Harcourt‐Brown, Sheila Carrera‐Justiz, Jishnu Rao Gutti, Marilia Takada, Joel White, Koichi Nagata, Marc Kent, Renee Barber, Daisuke Ito, Tomohiro Nakayama, Ayaka Oshima, Naoki Sekigucki, Lauren Smith‐Oskrochi, Nick Jeffery

“…Lesion site was classified as rostro‐ or caudotentorial and size was measured on contrast magnetic resonance images. Outcome was all‐cause death. Analysis of survival by Cox proportional hazards, including selection for optimal multivariable model using lasso, counterfactual modeling including variables associated with treatment allocation and survival. …”
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Temporal Muscle Thickness as a New Biomarker: Its Association With Alzheimer Pathology and Cognitive Impairment in Chinese Adults by Yunxia Zhu, Yingying Ke, Chenxi Ren, Jiehua Zhu, Zhen Zhang, Liang Cui, Yuehua Li, Fang Xie, Qihao Guo

“…Stratified analyses revealed that the correlation between TMT and MoCA‐B remained significant in MCI participants but not in AD participants. Multivariable logistic regression analysis showed that higher TMT was significantly associated with a lower risk of MCI (OR: 0.494, 95% CI: 0.287–0.849, p < 0.05) and a reduced likelihood of functional dependence (OR: 0.791, 95% CI: 0.670–0.935, p < 0.01). …”
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Atrial dysfunction: a contrast-free marker for HFpEF in obese diabetics—insights from comprehensive CMR and serum biomarker analyses by Rebecca Elisabeth Beyer, Maximilian Leo Müller, Patrick Doeblin, Stefanie Maria Werhahn, Amedeo Chiribiri, Carsten Tschöpe, Smita Sampath, G. Brandon Atkins, Dawn Cislak, An Bautmans, John Palcza, Tom McAvoy, Asad Abu Bakar, Anita Y. H. Lee, Xuemei Zhao, Maximilian G. Posch, Johannes Wieditz, Radu Tanacli, Victoria Zieschang, Mithal Nassar, Seyedeh Mahsa Zamani, Christian Stehning, Frank Edelmann, Djawid Hashemi, Sebastian Kelle

“…This study aimed to evaluate the relationship between advanced cardiac magnetic resonance (CMR) imaging and pro-fibrotic and inflammatory serum biomarkers, assessing their potential to discriminate HFpEF from associated comorbid conditions. …”
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Bronchoalveolar lavage cell percentages as diagnostic markers of immune checkpoint inhibitor pneumonitis by Mahnoor Mir, Felipe Soto, Pedro Antonio Amezcua Gomez, Rodrigo Del Rio Arroyo, Adarsh Suresh, Amber Su, Qiong Gan, John Stewart, Roberto Adachi, Diwakar D. Balachandran, Lara Bashoura, Roberto F. Casal, Burton F. Dickey, George A. Eapen, Scott E. Evans, Horiana Grosu, Carlos A. Jimenez, Julie Lin, David E. Ost, Bruce F. Sabath, Vickie R. Shannon, Aung Naing, Jianjun Gao, Jia Wu, Karthik Suresh, Saadia A. Faiz, Mehmet Altan, Ajay Sheshadri

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Longitudinal Body Composition Identifies Hepatocellular Carcinoma With Cachexia Following Combined Immunotherapy and Target Therapy (CHANCE2213) by Zhi‐Cheng Jin, Jia‐Wei Zhou, Jian‐Jian Chen, Rong Ding, Bernhard Scheiner, Si‐Na Wang, Hai‐Liang Li, Qing‐Xia Shen, Qing‐Yun Lu, Yi Liu, Wei‐Hua Zhang, Biao Luo, Hai‐Bin Shi, Ming Huang, Ye‐Ming Wu, Chun‐Wang Yuan, Ming‐Sheng Huang, Jia‐Ping Li, Jian‐Bing Wu, Xiao‐Li Zhu, Bin‐Yan Zhong, Hai‐Feng Zhou, Yu‐Qing Wang, Shan‐Zhi Gu, Zhi‐Yi Peng, Chuan‐Sheng Zheng, Rui‐Bao Liu, Guo‐Hui Xu, Wei‐Zhu Yang, Ai‐Bing Xu, Dong‐Fang Liu, Xiaolong Qi, Yee Hui Yeo, Hai‐Dong Zhu, Yang Zhao, David J. Pinato, Fanpu Ji, Gao‐Jun Teng

“…The median OS was 11.5 months for refractory cachexia, 17.7 for cachexia and 26.0 for pre‐cachexia; median PFS was 6.0, 7.9 and 10.9 months, respectively, with ORR of 4.8%, 39.5% and 54.2%, respectively (all ps < 0.001). Multivariable Cox analysis identified refractory cachexia as an independent risk factor for both OS (HR = 3.31; p < 0.001) and PFS (HR = 2.94; p < 0.001), with cachexia also showing significant impacts. …”
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Tumor burden with AFP improves survival prediction for TACE-treated patients with HCC: An international observational study☆ by Dongdong Xia, Wei Bai, Qiuhe Wang, Jin Wook Chung, Xavier Adhoute, Roman Kloeckner, Hui Zhang, Yong Zeng, Pimsiri Sripongpun, Chunhui Nie, Seung Up Kim, Ming Huang, Wenhao Hu, Xiangchun Ding, Guowen Yin, Hailiang Li, Hui Zhao, Jean-Pierre Bronowicki, Jing Li, Jiaping Li, Xiaoli Zhu, Jianbing Wu, Chunqing Zhang, Weidong Gong, Zixiang Li, Zhengyu Lin, Tao Xu, Tao Yin, Rodolphe Anty, Jinlong Song, Haibin Shi, Guoliang Shao, Weixin Ren, Yongjin Zhang, Shufa Yang, Yanbo Zheng, Jian Xu, Wenhui Wang, Xu Zhu, Ying Fu, Chang Liu, Apichat Kaewdech, Rong Ding, Jie Zheng, Shuaiwei Liu, Hui Yu, Lin Zheng, Nan You, Wenzhe Fan, Shuai Zhang, Long Feng, Guangchuan Wang, Peng Zhang, Xueda Li, Jian Chen, Feng Zhang, Wenbo Shao, Weizhong Zhou, Hui Zeng, Gengfei Cao, Wukui Huang, Wenjin Jiang, Wen Zhang, Lei Li, Aiwei Feng, Enxin Wang, Zhexuan Wang, Dandan Han, Yong Lv, Jun Sun, Bincheng Ren, Linying Xia, Xiaomei Li, Jie Yuan, Zhengyu Wang, Bohan Luo, Kai Li, Wengang Guo, Zhanxin Yin, Yan Zhao, Jielai Xia, Daiming Fan, Kaichun Wu, Dominik Bettinger, Arndt Vogel, Guohong Han

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