Development and validation of a prediction model for coronary heart disease risk in depressed patients aged 20 years and older using machine learning algorithms by Yicheng Wang, Yicheng Wang, Yicheng Wang, Chuan-Yang Wu, Hui-Xian Fu, Jian-Cheng Zhang, Jian-Cheng Zhang, Jian-Cheng Zhang

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Circulating proteomic panels for risk stratification of intracranial aneurysm and its rupture by Yueting Xiong, Yongtao Zheng, Yan Yan, Jun Yao, Hebin Liu, Fenglin Shen, Siyuan Kong, Shuang Yang, Guoquan Yan, Huanhuan Zhao, Xinwen Zhou, Jia Hu, Bin Zhou, Tao Jin, Huali Shen, Bing Leng, Pengyuan Yang, Xiaohui Liu

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Long non-coding RNA CCL14-AS suppresses invasiveness and lymph node metastasis of colorectal cancer cells by regulating MEP1A by Mingzhou Li, Chengmei Huang, Yuanyuan Wu, Lina Zhu, Yaxin Zhang, Yi Zhou, Huali Li, Zhihao Liu, Xinyan Pan, Xin Wang, Junfeng Qiu, Fengtian Li, Wenting Liao

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Application of attention mechanism-based LSTM neural network in stratigraphy identification by Cunde Jia, Xiangdong Kong, Minghui Wang, Zhuowei Yu, Haipeng Li, Yunhong Jiang, Jianliang Hu, Chao Ai

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Risk stratification in neuroblastoma patients through machine learning in the multicenter PRIMAGE cohort by Jose Lozano-Montoya, Ana Jimenez-Pastor, Almudena Fuster-Matanzo, Glen J. Weiss, Leonor Cerda-Alberich, Diana Veiga-Canuto, Blanca Martínez-de-Las-Heras, Blanca Martínez-de-Las-Heras, Adela Cañete-Nieto, Sabine Taschner-Mandl, Barbara Hero, Thorsten Simon, Ruth Ladenstein, Luis Marti-Bonmati, Luis Marti-Bonmati, Angel Alberich-Bayarri

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Expression features of antigens involved in the formation of immunological synapse in splenic marginal zone lymphoma by D. S. Badmazhapova, I. V. Galtseva, E. E. Zvonkov, Yu. O. Davydova, M. M. Kapranov, T. N. Moiseeva, A. M. Kovrigina, U. L. Julhakyan, K. I. Danishyan, K. R. Sabirov, E. N. Parovichnikova, V. G. Savchenko

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Associations of Gestational Weight Gain at Different Trimesters with Adverse Pregnancy Outcomes. A Prospective Study of 1273 Subjects by Xue-Mei Cai, Qiu-Qi Huang, Ting Zhang, Yue Liu, Jian-Lin Fu, Jun-Yu Chen, Ru-Yu Ren, Ni Ren, Xin-Yang Yu, Yin-Yin Xia, Ting-Li Han, Chang Chen, Hong-Bo Qi, Hua Zhang

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Long-term outcomes with nivolumab plus ipilimumab versus sunitinib in first-line treatment of patients with advanced sarcomatoid renal cell carcinoma by Chung-Wei Lee, Thomas Powles, Sabina Signoretti, Sumanta K Pal, Toni K Choueiri, Brian I Rini, Saby George, Robert J Motzer, Frede Donskov, Scott S Tykodi, Nizar M Tannir, Saurabh Gupta, Ruiyun Jiang

“…First-line nivolumab plus ipilimumab (NIVO+IPI) provided efficacy benefits over sunitinib (SUN) in patients with intermediate/poor-risk sRCC at 42 months minimum follow-up in the phase 3 CheckMate 214 trial. In this exploratory post hoc analysis, we report clinical efficacy of NIVO+IPI in sRCC after a minimum follow-up of 5 years.Methods In CheckMate 214, patients with clear cell advanced RCC were randomized to NIVO 3 mg/kg plus IPI 1 mg/kg every 3 weeks (four doses), then NIVO 3 mg/kg every 2 weeks versus SUN 50 mg once daily (4 weeks; 6-week cycles). …”
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Epidemiology of Hypertension in a Typical State-Level Poverty-Stricken County in China and Evaluation of a Whole Population Health Prevention Project Intervention by Zhengye Li, Xingyu Liu, Zhongan Zhang, Li Huang, Qing Zhong, Renlin He, Pei Chen, Ailin Li, Jun Liang, Jianbo Lei

“…Based on blood pressure levels and risk factor exposures, risk classifications for hypertensive patients were performed. …”
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Influence of HIV co-infection on clinical presentation and disease outcome in hospitalized adults with tuberculous meningitis in Brazil: a nationwide observational study by Lucas G. Urmenyi, Lucas G. Urmenyi, Lucas G. Urmenyi, Caian L. Vinhaes, Caian L. Vinhaes, Caian L. Vinhaes, Klauss Villalva-Serra, Klauss Villalva-Serra, Klauss Villalva-Serra, Klauss Villalva-Serra, Mariana Araujo-Pereira, Mariana Araujo-Pereira, Mariana Araujo-Pereira, Bruno B. Andrade, Bruno B. Andrade, Bruno B. Andrade, Bruno B. Andrade

“…Clinical and laboratory features were compared by HIV status and clinical outcomes. Classification and regression tree analysis was used to identify outcome-based cut-off values for selected continuous variables. …”
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A simplified frailty index and nomogram to predict the postoperative complications and survival in older patients with upper urinary tract urothelial carcinoma by Jianyong Liu, Jianyong Liu, Haoran Wang, Haoran Wang, Pengjie Wu, Pengjie Wu, Jiawen Wang, Jiawen Wang, Jianye Wang, Jianye Wang, Huimin Hou, Huimin Hou, Jianlong Wang, Jianlong Wang, Yaoguang Zhang, Yaoguang Zhang

“…Patients were classified into five groups: 0, 1, 2, 3, and 3+, according to sFI score. The variable importance and minimum depth methods were used to screen for significant variables, and univariable and multivariable logistic regression models applied to investigated the relationships between significant variables and postoperative complications. …”
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Unmasking a Recessive Allele by a Rare Interstitial Deletion at 10q26.13q26.2: Prenatal Diagnosis of MMP21 ‐Related Disorder and Further Refine INSYN2A Involvement in the Postnatal... by Jiasun Su, Shujie Zhang, Wei Li, Yuan Wei, Fei Lin, Chaofan Zhou, Xianglian Tang, Yueyun Lan, Minpan Huang, Qiang Zhang, Shang Yi, Qi Yang, Sheng Yi, Xunzhao Zhou, Zailong Qin, Peng Huang

“…Interstitial deletions at 10q25.3‐q26.3 are rare, and their contributions to 10q26 microdeletion syndrome remain unknown. …”
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Translating Patent Innovation into Clinical Practice: Two Decades of Therapeutic Advancements in Dysbiosis Management by Fabiana D’Urso, Federica Paladini, Alessandro Miraglia, Alessandro D’Amuri, Marcello Chieppa, Mauro Pollini, Francesco Broccolo

“…The analysis revealed three primary innovation clusters: bacterial-based therapeutics (44.8% of patents), specific therapeutic applications (27.6%), and diagnostic methods (15.9%). …”
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Physical therapy of persons after acute cerebrovascular accident in a long-term rehabilitation period by Vadym Kerestei, Oleksandr Zviriaka, Yuliya Kalmykova, Viktoriia Polkovnyk-Markova, Olha Lianna

“…The groups received rehabilitation intervention in accordance with the concept of the International Classification of Functioning, Disability, and Health (ICF). …”
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Exploring the association of erythrocytic NO-ferroheme, a surrogate marker of endothelial function with perioperative cardiovascular events in low/intermediate risk patients underg... by Hasnae Boughaleb, Jerome Linden, Arvind Soni, Nathalie Fabian, Irina Lobysheva, Virginie Montiel, Mona Momeni, Marie-Agnès Docquier, Annie Robert, Nancy Van Overstraeten, Jean-Luc Balligand

“…Using a threshold of 124 nM for HbNO, levels below this cutoff (HbNO < 124 nM) were associated with an increased risk of p-30d CVE (OR [95% CI] = 4.21 [1.55–11.41]), as did classification in ASA III or higher (OR [95% CI] = 3.23 [1.38–7.59]). …”
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Harnessing conversion bridge strategy by organic semiconductor in polymer matrix memristors for high‐performance multi‐modal neuromorphic signal processing by Weijia Dong, Xuan Ji, Chuanbin An, Chenhui Xu, Xuwen Zhang, Bin Zhao, Yuqian Liu, Shiyu Wang, Xi Yu, Xinjun Liu, Yang Han, Yanhou Geng

“…In this study, we introduce an efficient distribution of conversion bridges (EDCB) strategy by dispersing organic semiconductor (poly[2,5‐bis(3‐tetradecylthiophen‐2‐yl)thieno[3,2‐b]thiophene], PBTTT) in elastomer (polystyrene‐block‐poly(ethylene‐ran‐butylene)‐block‐polystyrene, SEBS). …”
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An evaluation of genetic predisposition to congenital anomalies and pediatric cancer supports KAT6B as a novel neuroblastoma susceptibility gene by Hyunjung Gu, Yao Yu, Saumya Dushyant Sisoudiya, Pamela Mishra, He Li, Jeremy M. Schraw, Michael E. Scheurer, Donna M. Muzny, Danielle Mitchell, Olga Taylor, Shalini N. Jhangiani, Shannon Dugan-Perez, Yifan Wu, Harsha Doddapaneni, Sravya Venkata Bhamidipati, Marie-Claude Gingras, Jennifer E. Posey, Richard A. Gibbs, Chad D. Huff, Sharon E. Plon, Philip J. Lupo, Aniko Sabo

“…These variants encompassed (1) 4 genes associated with both anomalies and cancer (WT1, USP9X, PTPN1, and LZTR1), (2) 2 established cancer predisposition genes (TP53 in 2 participants and PAX5), and (3) 4 genes that are associated with anomalies (MMUT, FBN1, COL3A1, and KAT6B). …”
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Diagnosis and Treatment of Pediatric Feeding Disorders: A Narrative Literature Review by Hugo Pergeline, Léo Gonnet, Arnaud Fernandez, Federico Solla, François Poinso, Jokthan Guivarch

“…We summarized these studies in three parts: the specific classifications for children before puberty, the current definition, and the clinical guidelines. …”
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Pilot project to study the association of troponin I with cardiovascular events in the population of Russian region by S. A. Shalnova, O. M. Drapkina, A. V. Kontsevaya, E. B. Yarovaya, V. A. Kutsenko, V. A. Metelskaya, A. V. Kapustina, Yu. A. Balanova, O. A. Litinskaya, M. S. Pokrovskaya

“…Both methods of including cTnI in the model significantly improve the risk classification of severe endpoints in men.Conclusion. …”
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[Translated article] Efficacy of new active viscosupplements on the behaviour of an experimental model of osteoarthritis by R.E. Pérez Expósito, M.A. Ortega Núñez, M.J. Buján Varela, R.M. Vega Rodríguez, A.I. Ortíz Chércoles, B.J. De La Torre Escuredo

“…In groups II–V, the infiltration of the corresponding compound was carried out spaced one week apart.Macroscopic histological analysis was performed using a scale based on the Outerbridge classification for osteoarthritis. Results: We observed that this osteoarthritis model is reproducible and degenerative changes similar to those found in humans are observed.The groups that were infiltrated with hyaluronic acid with curcumin-loaded nanoparticles (V), followed by the dexamethasone group (IV) presented macroscopically less fibrillation, exposure of subchondral bone and sclerosis (better score on the scale) than the control groups (I) (osteoarthritis without treatment), group (II) treated with commercial hyaluronic acid and hyaluronic acid with nanoparticles without drug (III). …”
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