A Multi-Algorithm Machine Learning Model for Predicting the Risk of Preterm Birth in Patients with Early-Onset Preeclampsia by Xu Y, Zu Y, Zhang Y, Liang Z, Xu X, Yan J

“…Yanhong Xu,1,* Yizheng Zu,2,* Ying Zhang,1,* Zewei Liang,1 Xia Xu,1,3– 5 Jianying Yan1,3– 5 1College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University Fujian Maternity and Child Health Hospital, Fuzhou, Fujian, People’s Republic of China; 2The Affiliated Changzhou Second People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, People’s Republic of China; 3Fujian Clinical Research Center for Maternal-Fetal Medicine, Fuzhou, Fujian, People’s Republic of China; 4Laboratory of Maternal-Fetal Medicine, Fujian Maternity and Child Health Hospital, Fuzhou, Fujian, People’s Republic of China; 5National Key Obstetric Clinical Specialty Construction Institution of China, Fuzhou, Fujian, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xia Xu, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University Fujian Maternity and Child Health Hospital, No. 18 Daoshan Road, Gulou District, Fuzhou, Fujian, People’s Republic of China, Email xuxia0623@fjmu.edu.cn Jianying Yan, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University Fujian Maternity and Child Health Hospital, No. 18 Daoshan Road, Gulou District, Fuzhou, Fujian, People’s Republic of China, Email yanjy2019@fjmu.edu.cnPurpose: To analyze the risk factors for preterm birth in patients with early-onset preeclampsia (EOPE) based on multi-algorithm machine learning and to construct a predictive model to explore the predictive value of the model.Methods: A retrospective analysis was conducted on 442 EOPE patients from a single tertiary center, divided into preterm birth (< 37 weeks, n=358) and term-born (≥ 37 weeks, n=84) groups. …”
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Comparison of [99mTc]Tc-FAPI SPECT/CT and [18F]FDG PET/CT as predictive biomarkers for immunotherapy response in gastrointestinal cancer by Yu Zhang, Hong Chen, Dajia Lin, Zhiyi Lin, Jiyun Shi, Hannan Gao, Chenshen Huang, Fangqing Xue, Fan Wang, Wenxin Chen

“…For diagnostic accuracy in a total of 253 lesions in 78 patients, compared with [18F]FDG PET/CT, [99mTc]Tc-FAPI SPECT/CT demonstrated a higher sensitivity (100% [15 of 15 lesions] vs. 20% [3 of 15]; P < 0.001), accuracy (100% [48 of 48 lesions] vs. 75% [36 of 48];P < 0.001), and negative predictive value (100% [33 of 33 lesions] vs. 69% [36 of 48 lesions]; P = 0 0.001) in detecting peritoneal spread, and a higher sensitivity (85% [17 of 20 lesions] vs. 50% [10 of 20]; P = 0.041) in detecting liver metastases. …”
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The novel triglyceride‒glucose-weighted adjusted waist index as a supplementary diagnostic tool for heart failure: evidence of improved reclassification beyond traditional TyG-rela... by Yuqin Fan, Dan Ye, Kebin Zhou, Lu Cai, Longhui Yu

“…However, further validation in large-scale prospective cohorts is warranted to confirm its long-term predictive value and generalizability across diverse populations. …”
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PLAGL2 as a prognostic biomarker and an EMT-promoting factor in PDAC by Yan-Hui Yang, Hao Wang, Zhe-Hua Xing, Qian-Qian Bai, Wei-Feng Liu, Da-Huan Li, Chi Zhang, Shu-Min Zhang, Fang-Fei Liu, Yu-Bo Liu, Hua Fan

“…We subsequently examined the expression of PLAGL2 via immunohistochemistry and PCR in PDAC tumor tissue samples from our hospital, explored the relationships between PLAGL2 expression and clinical features, and evaluated the predictive value of PLAGL2 for the survival of PDAC patients. we investigated the effect of PLAGL2 on the epithelial‒mesenchymal transition (EMT) process by examining its association with the expression of EMT-related proteins. …”
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Define a good prognosis of RNF43 codon 659-mutated and concomitant genomic signatures in CRC: an analysis of the cBioPortal database by Feng Wang, Li Lin, Zhongkang Li, Lei Qin, Shuai Zhang, Xueqing Hu, Yunbo Zhao, Yingying Huang

“…All mutation data were filtered by the 1021-panel (Geneplus-Beijing, China), and the processed data were used to analyze the predictive value of RNF43-mutated to OS and concomitant co-mutations. …”
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Right ventricular dysfunction for prediction of long‐term recovery in de novo HFrEF : a PROLONG‐II substudy by Aiste Monika Jakstaite, Johanna Mueller‐Leisse, Henrike A.K. Hillmann, Stephan Hohmann, Jörg Eiringhaus, Udo Bavendiek, Tibor Kempf, Christian Veltmann, Johann Bauersachs, David Duncker, D. Berliner

“…Abstract Aims To analyse the predictive value of advanced markers of right ventricular (RV) function and RV‐pulmonary arterial (PA) coupling in forecasting long‐term left ventricular (LV) improvement in de novo heart failure with reduced ejection fraction (HFrEF). …”
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Altered albumin/neutrophil to lymphocyte ratio are associated with all-cause and cardiovascular mortality for advanced cardiovascular-kidney-metabolic syndrome by Xiaoshuang Yin, Jinmei Zou, Jing Yang

“…RCS analysis indicated an L-shaped link between ANLR and both ACM and CVM, both before and after PSM (all Pnon-linearity &lt; 0.001). The predictive value of ANLR, NLR, and ALB for CVM and ACM in individuals with advanced CKM syndrome demonstrated that ANLR and NLR exhibited comparable predictive capabilities for both ACM and CVM, outperforming ALB. …”
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Optimasi Convolutional Neural Network Untuk Deteksi Covid-19 pada X-ray Thorax Berbasis Dropout by I Gede Totok Suryawan, I Putu Agus Eka Darma Udayana

“…It proved that when this system was tested with COVID-19 thorax x-ray public database data, the classifier that used this architecture could achieve an accuracy rate of 95.20% followed by precision and recall value reaching 94.80% and 94.80%. respectively and last but not least F-score of 95.18% and Negative Predictive value of 95.60%  It could also save training time up to 62% compared to other deep learning architectures. …”
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Genetic scores to stratify risk of developing multiple islet autoantibodies and type 1 diabetes: A prospective study in children. by Ezio Bonifacio, Andreas Beyerlein, Markus Hippich, Christiane Winkler, Kendra Vehik, Michael N Weedon, Michael Laimighofer, Andrew T Hattersley, Jan Krumsiek, Brigitte I Frohnert, Andrea K Steck, William A Hagopian, Jeffrey P Krischer, Åke Lernmark, Marian J Rewers, Jin-Xiong She, Jorma Toppari, Beena Akolkar, Richard A Oram, Stephen S Rich, Anette-G Ziegler, TEDDY Study Group

“…The risk (positive predictive value) for developing multiple islet autoantibodies (pre-symptomatic type 1 diabetes) and type 1 diabetes was determined in 4,543 children who had no first-degree relatives with type 1 diabetes and either a heterozygous HLA DR3 and DR4-DQ8 risk genotype or a homozygous DR4-DQ8 genotype, and in 3,498 of these children in whom genetic scores were calculated from 41 single nucleotide polymorphisms. …”
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Diagnostic accuracy of CADe-assisted reading versus clinician reading for polyp detection in colon capsule endoscopy: a multicentre prospective study by Ian Io Lei, Nicolas Parsons, Cristiana Huhulea, Hagen Wenzek, Elizabeth White, Pablo Laiz, Charlie Noble, Alexander Robertson, Anastasios Koulaouzidis, Ramesh Arasaradnam

“…The per-polyp sub-analysis evaluated 1,803 polyps, examining sensitivity, positive predictive value and the impact of different factors on AI-assisted accuracy performance. …”
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Predictive Significance of the Monocyte-to-High-Density Lipoprotein Cholesterol Ratio in Post-Percutaneous Coronary Intervention Contrast-Induced Nephropathy Among Patients with Co... by Lin A, Peng Y, Shao J, Chen L, Lin Y

“…The study used regression analyses to investigate the relationship between MHR and CIN rate and postoperative mortality, and demonstrated the cumulative incidence of postoperative fatal events in the three groups of patients by Kaplan-Meier curves, and also analyzed the predictive value of MHR and other inflammatory indicators on the risk of CIN by using receiver operating characteristic (ROC) curves.Results: Compared to Group 1, Groups 2 and 3 had a higher incidence of CIN, higher mortality, and longer hospital stays (P &lt; 0.001). …”
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Association between various insulin resistance surrogates and gallstone disease based on national health and nutrition examination survey by Rui Gong, Yuchen Ding, Kaiqi Yang, Xiaodie Meng, Xiujing Sun

“…The present study was designed to investigate the correlation between these novel IR surrogates and the risk of developing GSD and to explore the index with the best predictive value. We conducted a cross-sectional analysis using data from the National Health and Nutrition Examination Survey 2017-March 2020. …”
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Bartonella endocarditis: a complex diagnosis of blood culture-negative endocarditis in an endemic region of Africa by Hans Prozesky, Colette Pienaar, Simon Poerstamper, Luke D Hunter, Philip G Herbst, Anton F Doubell, Jantjie J Taljaard, Jacques J Janson, Alfonso JK Pecoraro

“…None of the PCR-proven cases of Bartonella endocarditis had negative serology, which suggests that the test has a high negative predictive value. The current guideline diagnostic titre of ≥1:800 is assay dependent and is not generalisable to alternative, commercially available, assays. …”
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Clinical Characteristics of Auditory Mismatch Negativity in Patients with Chronic Disorders of Consciousness Following Intracerebral Haemorrhage: A Prognostic Prediction Study by Lv X, Yang N, Lv J, Li L, Gao Y, Xiang Z, Li Z, Lang X, Tao D, Zhao Y, Duan H, Li H

“…Moreover, MMN amplitudes at Cz were dichotomised at a value of 1.19 μV, with a sensitivity and specificity of 87.5% and 80.0%, respectively, for the prognosis prediction. The prediction value improved when combined with the CRS-R and the Glasgow Coma Scale.Conclusion: Auditory MMN amplitude, particularly at electrode Cz, serves as a reliable prognostic indicator for patients with chronic DOC following ICH. …”
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Clinical value of the renal pathologic scoring system in complement-mediated thrombotic microangiopathy by Fei-Fei Chen, Xiao-Juan Yu, Hui Wang, Xu Zhang, Ying Tan, Zhen Qu, Su-Xia Wang, Feng Yu, Min Chen, Ming-Hui Zhao

“…Objectives This study was initiated to establish a renal thrombotic microangiopathy (TMA) scoring system based on clinical needs and investigate its predictive value for patients’ long-term outcomes.Methods Kidney biopsy-proven Complement-mediated TMA (C-TMA) patients from January 2000 to December 2017 in Peking University First Hospital were retrospectively studied. …”
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Validation of the COAPT risk score in Polish patients undergoing transcatheter edge-to-edge repair of severe, functional mitral regurgitation: a multicenter, observational study by Karolina Jasińska-Gniadzik, Michał Łomiak, Jerzy Pręgowski, Zbigniew Chmielak, Piotr Kasprzyk, Jan Kasprzyk, Rafał Gałąska, Michał Chmielecki, Miłosz J. Jaguszewski, Marcin Fijałkowski, Aleksandra Topolska, Michał Sekuła, Marcin Grabowski, Janusz Kochman, Adam Rdzanek, Piotr Scislo, Agnieszka Kapłon-Cieślicka, Renata Główczyńska, Monika Budnik, Radosław Piątkowski, Łukasz Kołtowski, Arkadiusz Pietrasik, Aleksandra Gąsecka

“…CONCLUSIONS: In Polish patients fulfilling COAPT criteria, the COAPT risk score has moderate predictive value for post-procedural outcomes. In COAPT non-eligible patients, novel tools are required to predict outcomes.…”
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Multi-omics analysis uncovers predictive biomarkers for the efficacy and outcomes of chemoimmunotherapy in advanced unresectable biliary tract cancers by Jiaojiao Ni, Chaoqun Li, Xiaoqing Xu, Qi Xu, Qian Yin, Hanlin Chen, Shurui Zhou, Jingjing Li, Qinhong Zheng, Yanru Xie, Hongjun Hua, Jianying Jin, Tieming Xie, Haiping Zhao, Feng Yan, Junjun Shen, Yihui Huang, Wangye Zheng, Junrong Yan, Xiaoying Wu, Song Wang, Qiuxiang Ou, Yang Shao, Wei Wu, Wei Zhuo, Jieer Ying

“…The immune-modulatory effects of CXCL9/CTLA4 and their predictive value for treatment efficacy were further validated in a multicenter BTC cohort. …”
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Short-term and long-term oncological outcomes of chemoradiotherapy for rectal cancer patients with or without oxaliplatin: a propensity score-matched retrospective analysis by Amirali Azimi, Fatemeh Sadat Tabatabaei, Kasra Kolahdouzan, Hamideh Rashidian, Forouzan Nourbakhsh, Maryam Abedini Parizi, Nima Mousavi Darzikolaee, Reyhaneh Bayani, Samaneh Salarvand, Azadeh Sharifian, Farzaneh Bagheri, Saeed Rezaei, Naeim Nabian, Reza Nazari, Negin Mohammadi, Mohammad Babaei, Marzieh Lashkari, Farshid Farhan, Mahdi Aghili, Felipe Couñago, Maria Antonietta Gambacorta, Reza Ghalehtaki

“…However, CAPEOX did not demonstrate any statistically significant predictive value for DFS (P = 0.500) or OS (P = 0.449). …”
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Postreperfusion Renal Allograft Biopsy Predicts Outcome of Single-Kidney Transplantation: A 10-Year Observational Study in China by Meifang Wang, Junhao Lv, Jie Zhao, Huiping Wang, Jianghua Chen, Jianyong Wu

“…We investigated the predictive value of postreperfusion biopsy on long-term allograft outcome after single-kidney transplantation. …”
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Association of Soluble Immune Checkpoint Molecules PD1 and 4‐1BB With CTLA‐4Ig Treatment Response in Early Rheumatoid Arthritis by Tilia Selldén, Kristina Lend, Jon Lampa, Merete Lund Hetland, Mikkel Østergaard, Tillmann Uhlig, Dan Nordström, Kim Hørslev‐Petersen, Björn Gudbjörnsson, Gerdur Gröndal, Inger Gjertsson, Ronald vanVollenhoven, Cristina Maglio, Kerstin Andersson, Anna‐Karin Hultgård Ekwall, Anna‐Carin Lundell, Anna Rudin

“…Furthermore, baseline levels of sPD1 or s4‐1BB together with proportions of PD1+ T follicular helper (TFh) cells predicted treatment response to CTLA‐4Ig with MTX after 48 weeks, achieving 90% and 100% positive predictive value, respectively. Conclusion High plasma levels of sPD1 and s4‐1BB are associated with good response to CTLA‐4Ig with MTX therapy in patients with eRA. …”
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