Machine learning based metabolomic and genetic profiles for predicting multiple brain phenotypes by Xueli Zhang, Yu Huang, Shunming Liu, Shuo Ma, Min Li, Zhuoting Zhu, Wei Wang, Xiayin Zhang, Jiahao Liu, Shulin Tang, Yijun Hu, Zongyuan Ge, Honghua Yu, Mingguang He, Xianwen Shang

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FORMATION OF PEDAGOGICAL VALUES ​​IN THE EDUCATIONAL SPACE by Elmira Magomedgadzhievna Akhmedova

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Predictive Value of Cortical Transit Time on Diuretic Renography in Determining the Need for Surgery and Evaluating the Postoperative Outcome in Ureteropelvic Junction Obstruction in Children: A Prospective Observational Study by Bijay Kumar Suman, Aditya Arvind Manekar, Subrat Kumar Sahoo, Kanhaiyalal Agrawal, Bikasha Bihary Tripathy, Manoj Kumar Mohanty

“…Conclusion: The predictive value of CTT as a reliable and sensitive indicator of surgery and early recovery even after 3 months of surgery. …”
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Incremental predictive value of liver fat fraction based on spectral detector CT for major adverse cardiovascular events in T2DM patients with suspected coronary artery disease by Min Wang, Tanglin Wei, Li Sun, Yanhua Zhen, Ruobing Bai, Xiaomei Lu, Yue Ma, Yang Hou

“…Abstract Background The purpose of this study was to explore the incremental predictive value of liver fat fraction (LFF) in forecasting major adverse cardiovascular events (MACE) among patients with type 2 diabetes mellitus (T2DM). …”
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Predictive value of serum myeloperoxidase (MPO) concentration combined with triglyceride-glucose index (TyG) for major adverse cardiaovascular events (MACE) in patients with coronary heart disease by Adila Wulamu, Xiao-Lei Li, Munawaer Keremu, Shu-Ying Ding, Aibibanmu Aizezi, Yan-Peng Li, Gulihuma Abudukeranmu, Fen Liu, Xia li, Xiao-Mei Li, Yi-Tong Ma, Dilare Adi, Adila Azhati

“…This study aimed to investigate the predictive value of MPO in combination with the TyG index for major adverse cardiovascular events (MACE) in patients with CHD. …”
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Additional analysis of red blood cell distribution width improves the predictive value of the GRACE 2.0 score for 18-month mortality in patients with acute myocardial infarction by T. H. Hoang, V. V. Maiskov, I. A. Merai, Zh. D. Kobalava

“…Logistic regression analysis was used to identify predictive values of RDW. Area under the receiver-operator characteristic (ROC) curve (AUC), net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to evaluate the increment of predictive value for the combination of RDW with GRACE 2.0 score in predicting clinical adverse outcome.Results. …”
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Predictive value of the maternal alpha-fetoprotein variant, L2, during the first trimester of pregnancy screening for fetal trisomy 21, trisomy 18, and neural tube defects by Yiming Chen, Wenwen Ning, Caihe Wen, Linyuan Gu, Xuelian Chu

“…For predicting trisomy 18, the positive predictive value of AFP-L2 was somewhat lower than PAPP-A. …”
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Predictive value of early MoCA score combined with serum S100 protein and 25⁃hydroxyvitamin D3 levels on secondary cognitive dysfunction in patients with cerebral infarction by CHEN Yan，LIU Hui，YAN Manyun，ZHUO Ziliang，ZHAO Zongbo

“…Early MoCA scores combined with serum S100 protein and 25（OH）D3 measurements have certain predictive value for secondary cognitive dysfunction in these patients. …”
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Risk factors for hypocalcemia after total thyroidectomy: a narrative review by Bohan Cao, Guangzhe Wu

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Early Changes in Clinical and Laboratory Parameters in Patients Died of COVID-19 by K. S. Bakhtiyarova, A. O. Papoyan, A. V. Alekseev, D. S. Vishnyakov, A. A. Grazhdankin, I. R. Gilyazova, A. Kh. Nasibullina, M. V. Kislitsyna, A. A. Vakhitova, K. N. Zolotukhin, I. R. Kabirov, V. N. Pavlov

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SYNCOPE IN NON-MASSIVE PULMONARY EMBOLISM AS A PREDICTOR OF HIGH-RISK MORTALITY by E. A. Kurakina, D. V. Duplyakov, S. M. Khokhlunov, G. S. Kozupitsa

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The predictive value of triglyceride glucose-body mass index for contrast-induced nephropathy in patients with acute ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention by Litian Liu, Zheng Yuan, Xiaohui Ning, Jiaqi Wang, Yingxiao Li, Xuelian Song, Feifei Zhang

“…ROC curve analysis showed that TyG-BMI had a high predictive value for CIN (AUC = 0.812; 95%CI 0.784–0.840), the best cut-off value was 196.34, the sensitivity was 85.6%, and the specificity was 73.1%. …”
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Prognostic and predictive value of systemic inflammatory markers in patients with metastatic gastric and GEJ adenocarcinoma with PD-L1 CPS score ≥ 5: Turkish Oncology Group (TOG) study by Maral Martin Mildanoglu, Yasin Kutlu, Onur Bas, Bahadır Koylu, Shute Ailia Dae, Abdullah Sakin, Dilek Erdem, Mehmet Ali Nahit Sendur, Elif Senocak Tasci, Faysal Dane, Ali Osman Kaya, Musa Baris Aykan, Yakup Ergun, Sedat Biter, Omer Dizdar, Umut Disel, Fatih Selcukbiricik, Fatih Kose, Omer Fatih Olmez, Gokhan Demir, Suayib Yalcin, Ahmet Bilici

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The Relationship Between Serum SFRP5, ApoA‐I, HDL3‐C Level and In‐Stent Restenosis After PCI in Acute Myocardial Infarction and the Combined Predictive Value by Li‐Qiang Cui, Xue‐Dong Wang

“…The receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of SFRP5, ApoA‐I, and HDL3‐C in ISR after PCI. …”
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Predictive Value of Individual Gastric Secretion Indices and Their Constellations for Predicting the Response of Gastric Mucosal Parietal Cells to Pentagastrin Stimulation and Famotidine Blocking Effect in Patients with Gastric and Duodenal Ulcers by M. Pliatsko, O. Faiura, N. Grechkivska, O. Voloshyna, Y. Leshchuk, A. Maksymuk

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Predictive and prognostic value of inflammatory factors (IL-6, IL-8, and TNF-α) in saliva for radiotherapy response in patients with HPV-associated oropharyngeal squamous cell carc... by Li Tan, WenJuan Liu, QiChen Sun, Yan Shi

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COMPARATIVE ANALYSIS OF ACTUAL AND PREDICTED CANCER MORTALITY IN THE RUSSIAN FEDERATION REGIONS AFFECTED BY RADIOACTIVE CONTAMINATION DUE TO THE CHERNOBYL ACCIDENT by V. V. Kuchumov, A. A. Lyapkalo, M. S. Nikolaevich

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Parameters of blood viscoelasticity testing as promising biomarkers for the prediction of the occurrence of diabetic peripheral neuropathy by Yong Zhuang, Xin Hu, Qingyan Cai, Huibin Huang

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The evaluation of Decision Plan Nets for bridging the gap between the ideal dwelling and the accepted dwelling by Roland Goetgeluk, Pieter Hooimeijer

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The predictive value of mean platelet volume to platelet count ratio combined with APACHEⅡs for short-term prognosis of patients with acute kidney injury treated by continuous renal replacement therapy by TANG Ying-ying, NI Xun, Lv Jian-nong

“…Objective To investigate the predictive value of mean platelet volume(MPV)to platelet count(PLT)ratio(MPR)combined with acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)scoring for the short-term prognosis of patients with acute renal injury(AKI)treated with continuous renal replacement therapy(CRRT).Methods A total of 138 AKI patients who received CRRT in our hospital from January 2016 to October 2019 were retrospectively included.According to their survival conditions at discharge,they were divided into survival group(n=80)and death group(n=58).The value of MPR,APACHE Ⅱ score and their combination for predicting the death of AKI patients was analyzed by ROC curve.The independent risk factors for poor prognosis were evaluated by multivariate logistic regression analysis.Results(1)MPV,MPR and APACHE Ⅱ scores of patients in the death group were significantly higher than those in the survival group[(11.9±1.1)fl vs.(11.0±1.1)fl,P<0.01;0.11(0.09,0.14)vs.0.08(0.06,0.11),P<0.01;(25.0±3.5)score vs.(19.5±3.4)score,P<0.01].PLT count of patients in death group was significantly lower than that of survival group[(108.9±28.0)×10~9/L vs.(146.8±41.4)×10~9/L,P<0.01].(2)The cutoff values of MPR,APACHE Ⅱ score and the combination to predict the death of AKI patients were 0.08,24 points and 0.54,respectively.The AUC of death in AKI patients predicted by MPR combined with APACHE Ⅱ was significantly higher than that of MPR and APACHE Ⅱ alone[0.892(0.828-0.938)vs.0.737(0.656-0.809),P<0.01;0.892(0.828-0.938)vs.0.838(0.766-0.896),P<0.05].(3)APACHE Ⅱ score(≥24),MPR combined with APACHE Ⅱ score(APACHE Ⅱ score≥24,and MPR≥0.08),diuretics administration were the independent risk factors for poor prognosis in AKI patients[HR(95%CI):2.311(1.034-5.166),3.533(1.541-8.098),34.816(7.475-162.149),all P< 0.05].Conclusions MPR combined with APACHE Ⅱ score can well predict the short-term prognosis of AKI patients treated with CRRT.…”
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