Levels and clinical significance of serum Hcy，PTH and β2⁃MG in maintenance hemodialysis patients with chronic renal failure by LI Min，ZHANG Yuqin，ZHANG Hongxu

“…Receiver operating characteristic（ROC） curves were plotted to evaluate the predictive value of laboratory indicators for patient prognosis.…”
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Relationship between neutrophil-to-lymphocyte ratio and pulmonary arterial hypertension in non-dialytic patients with chronic kidney disease stage 5 by 冯世尧, 任伟

“…Objective To investigate the clinical value of neutrophil-to-lymphocyte ratio(NLR)for pulmonary arterial hypertension(PAH)in non-dialytic patients with chronic kidney disease(CKD) stage 5.Methods A total of 144 non-dialysis patients with CKD stage 5 were divided into two groups:PAH group and non-PAH group according to pulmonary artery systolic pressure.Clinical data were compared between the two groups,Spearman correlation analysis was used to analyze the relationship between pulmonary artery systolic pressure and various factors.Binary classification Logistic regression analysis was applied to analyze the risk factors of PAH.Receiver operating characteristic(ROC)curve was adopted to evaluate the predictive value of NLR for PAH.Results There were 64 cases(44.4%)in the PAH group and 80 cases(55.6%)in the non-PAH group.NLR,platelet to lymphocyte ratio,left internal atrial diameter and main pulmonary internal artery diameter in the PAH group were significantly higher than those in the non-PAH group(P<0.05).Lymphocyte count,hemoglobin,serum iron,triglyceride,very low density lipoprotein cholesterol and left ventricular ejection fraction in the PAH group were significantly lower than those in the non-PAH group,with all statistically significant differences(P<0.05).NLR,left atrial diameter and main pulmonary artery diameter were positively correlated with pulmonary artery systolic pressure(P<0.05).Multivariate Logistic analysis showed that,NLR(OR=2.151,95%CI 1.438～3.218,P<0.001),left atrial diameter(OR=1.176,95%CI 1.068～1.294,P<0.05)and main pulmonary artery diameter(OR=1.229,95%CI 1.004～1.504,P<0.05)were independent risk factors for PAH.The results of ROC curve analysis showed that the area under curve of PAH predicted from NLR was 0.711(95% CI 0.626～0.797,P<0.05).When the NLR cutoff value was 3.23,the sensitivity and specificity for predicting the occurrence of PAH in non-dialysis patients with CKD stage 5 were 60.9% and 72.5%,respectively.Conclusions NLR has a good clinical value in predicting the occurrence of PAH in non-dialysis patients with CKD stage 5.Left atrial enlargement and main pulmonary artery enlargement were related to PAH.…”
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Association between sinusitis and incident rheumatic diseases: a population-based study by Ali Duarte-García, Kenneth J Warrington, Ashima Makol, Elena Myasoedova, Cynthia S Crowson, Jeffrey A Sparks, John M Davis, Vanessa L Kronzer, Andrew C Hanson, Robert Vassallo, Mattew J Koster, Alicia M Hinze, Kerry Wright

“…The primary exposure was presence of sinusitis, ascertained by diagnosis codes (positive predictive value 96%). We fit logistic regression models to estimate ORs for incident rheumatic diseases and disease groups, adjusted for confounders.Results We identified 1427 incident rheumatic disease cases and 4281 matched controls (mean age 63, 67% women, median 14 years electronic health record history). …”
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The impact of lacrimal gland characteristics on the clinical presentation of lacrimal gland prolapse in candidates for upper eyelid blepharoplasty by Bahram Eshraghi, Nahid Mirzaei, Samira Chaibakhsh, Ali Aghajani

“…The supine test demonstrated a 90% positive predictive value for LGP. Analysis of the prolapsed lacrimal gland characteristics indicated that the average length in patients with upright prolapse was significantly larger (8.33 ± 3.12 mm) than in those without (6.03 ± 2.91 mm, p = 0.001). …”
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A ROLE OF SUPEROXIDE DISMUTASE IN DEVELOPMENT OF POST-OPERATION ATRIAL FIBRILLATION IN CORONARY HEART DISEASE PATIENTS by O. A. Rubanenko, O. V. Fatenkov, S. M. Khokhlunov, L. V. Limareva

“…Patients with PSAF had III functional class of angina (72,4% vs 47,8%, р=0,028) and III functional class of congestive  heart failure (38,0% vs 7,5%, р=0,006), they had larger left atrium (43,5±4,1 mm vs 37,9±3,4 mm, р&lt;0,001).After multifactorial analysis, predictive value remained  for the following: left atrium larger than 41 mm — 5,1 (95% CI, 2,1-9,8, р=0,0005), SOD more than 2948 U/g — 4,4 (95% CI, 1,1-8,9, р=0,04).Conclusion. …”
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Prediction of lymph node metastasis in lung adenocarcinoma using a PET/CT radiomics-based ensemble learning model and its pathological basis by Shulin Li, Shulin Li, Fang Chen, Lei Wang, Lei Wang, Zhiming Xiang

“…The purpose of this study is to explore the predictive value of the stacking ensemble learning model based on 18F-FDG PET/CT radiomic features and clinical risk factors for LNM in lung adenocarcinoma, and elucidate the biological basis of predictive features through pathological analysis.MethodsNinety patients diagnosed with lung adenocarcinoma who underwent PET/CT were retrospectively analyzed and randomly divided into the training and testing sets in a 7:3 ratio. …”
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The relationship between coping styles and the utilization and misuse of industrial and traditional substances in psychiatric patients: a cross-sectional study from Iran by Reza Moshfeghinia, Sara Shirvani, Mohammadsadegh Kamran, Kasra Assadian, Arvin Hedayati, Arash Mani

“…These findings underscore the predictive value of coping styles in addiction vulnerability and support the development of coping-focused interventions.…”
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Genome‐wide screening of abberant methylated drivers combined with relative risk loci in bladder cancer by Chuanjie Zhang, Kangjie Shen, Yuxiao Zheng, Feng Qi, Jun Luo

“…In the validation group from GSE13507, 17 hub genes remained higher predictive value with AUC = 0.723 and patients in high‐risk group. …”
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Evaluating educational effectiveness of three-dimensional (3D)-printed training models and custom-made fibula model for osteotomy and flap inset training in head and neck reconstru... by Dharmik Gondalia, Mohit Parakh, Kunal Mokhale, Vineet Kumar, Ameya Bindu, Mayur Mantri, Saumya Mathews, Dushyant Jaiswal, Akshay Bhavke, Vinay Kant Shankhdhar

“…This study aimed to evaluate the educational value of 3D-printed training models and custom-made fibula models in enhancing surgical skills, supported by structured assessments and feedback. …”
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Pre-treatment monocytic myeloid-derived suppressor cells as predictive biomarkers for immune checkpoint inhibitor response in clear cell renal cell carcinoma by Yiming Jin, Yiming Jin, Hisamitsu Ide, Hisamitsu Ide, Masayoshi Nagata, Takuro Kobayashi, Takuro Kobayashi, Jun Lu, Yoshihiro Ikehata, Yoshihiro Ikehata, Fumitaka Shimizu, Yan Lu, Shigeo Horie, Shigeo Horie, Shigeo Horie

“…Multivariable logistic regression was used to evaluate their predictive value. The primary outcome was objective response (CR/PR) based on RECIST 1.1.ResultsAmong 47 clinical and laboratory variables with an area under the curve (AUC) greater than 0.6, elastic net regression identified 7 key predictors of immunotherapy response. …”
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Atrial Natriuretic Peptide at Discharge as a Predictive Marker for Early Rehospitalization in Patients With Heart Failure With Preserved Ejection Fraction by Junichi Ohno, Kyung‐Duk Min, Isamu Sunayama, Yuki Matsumoto, Aika Daimon, Eri Manabe, Makiko Oboshi, Kohei Azuma, Masataka Sugahara, Akiyo Eguchi, Yoshiro Naito, Masanori Asakura, Masaharu Ishihara

“…This was confirmed in Cox models using log‐transformed standardized ANP (hazard ratio [HR] per SD, 2.01 [95% CI, 1.34–3.02]; P=0.0008) whereas discharge BNP levels showed weaker predictive value. Discharge ANP remained a significant predictor even after adjusting for age, body mass index, or estimated glomerular filtration ratio, whereas discharge BNP did not. …”
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Artificial Intelligence–Enabled ECG Screening for LVSD in LBBB by Hak Seung Lee, MD, Sooyeon Lee, MD, Sora Kang, MS, Ga In Han, MS, Ah-Hyun Yoo, MS, Jong-Hwan Jang, PhD, Yong-Yeon Jo, PhD, Jeong Min Son, MD, Min Sung Lee, MD, MS, Joon-myoung Kwon, MD, MS, Kyung-Hee Kim, MD, PhD

“…All models were externally validated on 1,334 ECGs from another hospital, with performance assessed by area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, and predictive values. Results: In external validation, the transfer learning model achieved the highest AUROC (0.903; 95% CI: 0.887-0.918), closely followed by the general model (0.899; 95% CI: 0.883-0.915); the difference was not significant. …”
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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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Left heart function and strain for predicting change in hemoglobin levels in pediatric kidney transplantation recipients by Shufan Yue, Fei Xiao, Rui Fan, Wei Li, Donghong Liu, Fengjuan Yao, Hong Lin, Chenglin Wu, Longshan Liu, Changxi Wang, Jun Li, Cuiling Li, Cuiling Li

“…LVMI and changes in LVEF and LAEVI have predictive value in absence of Hb increase in pediatric KTx recipients.…”
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Predictors of uveitic macular edema and functional prognostic outcomes: real-life data from the international AIDA Network uveitis registry by Jurgen Sota, Germán Mejía-Salgado, Silvana Guerriero, Gaafar Ragab, Gaafar Ragab, Stefania Costi, Maria Pia Paroli, Andrea Hinojosa-Azaola, Giuseppe Lopalco, Luciana Breda, Henrique Ayres Mayrink Giardini, Alex Fonollosa, Maria Sole Chimenti, Antonio Vitale, Carla Gaggiano, Blanca Aguilar-Barrera, Laura Daniela Rodríguez-Camelo, Guillermo Arturo Guaracha-Basañez, Mohamed Tharwat Hegazy, Mohamed Tharwat Hegazy, Rosanna Dammacco, Valeria Albano, Eduardo Martín-Nares, Santiago Espinosa-Lugo, Mahmoud Ghanema, Maria Morrone, Saverio La Bella, Rafael Alves Cordeiro, Francesco Carubbi, Alessandro Conforti, Piero Ruscitti, Ibrahim AlMaglouth, Rosaria Talarico, Stefano Gentileschi, Petros P. Sfikakis, Valeria Caggiano, Matteo Piga, Adele Civino, Francesca Ricci, Maissa Thabet, Marcello Govoni, Abdurrahman Tufan, Francesca Crisafulli, Jessica Sbalchiero, Sulaiman M. Al-Mayouf, Angela Mauro, Angela Mauro, Soad Hashad, Soad Hashad, Francesca Minoia, Alma Nunzia Olivieri, Samar Tharwat, Samar Tharwat, Maria Cristina Maggio, Abdelhfeez Moshrif, Gian Domenico Sebastiani, Daniela Opris-Belinski, Gülen Hatemi, Gülen Hatemi, Haner Direskeneli, Fatma Alibaz-Öner, Lampros Fotis, José Hernández-Rodríguez, Giovanni Conti, Piercarlo Sarzi Puttini, Ombretta Viapiana, Annarita Giardina, Patrizia Barone, Kalpana Babu, Rana Hussein Amin, Perla Ayumi Kawakami-Campos, Vishali Gupta, Annamaria Iagnocco, Ali Şahin, Antonella Insalaco, Andrés González-García, Ezgi Deniz Batu, Ester Carreño, Emanuela Del Giudice, Cecilia Beatrice Chighizola, Cecilia Beatrice Chighizola, Fabrizio Conti, Alberto Balistreri, Bruno Frediani, Luca Cantarini, Alejandra de-la-Torre, Claudia Fabiani

“…The study also highlights the limited predictive value of demographic and HLA-related factors, helping refine clinical risk stratification and predictive modeling in NIU.…”
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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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Evaluation of the Human Immunodeficiency Virus viral load surveillance system, national perspective in Tanzania: A descriptive cross-sectional study by Peter Richard Torokaa, Loveness John Urio, Ambwene Mwakalobo, Alex Sifaeli Magesa, James Njoroge Allan, David John Osima, Focus Medard Shao, Joseph Mziray, Yulitha Barnabas, Agricola Joachim, Mtebe Majigo

“…The system's sensitivity was 84.4%, with a predictive value positive (PVP) of 52% and a national data accuracy of 97%. …”
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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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Metabolic syndrome with mortality and major adverse cardiovascular events in an elderly population by Shailendra Kumar Karn, Fang Zhao, Yawei Xu, Yi Zhang, Chunlai Zeng, Imran Ibrahim Shaikh, Shekhar Singh, Yuling Feng, Yuling Feng

“…Among the individual components of MS, the combination of central obesity, hypertension, and hyperglycemia (ABD+BP+GLU) showed the strongest predictive value for MACE (HR 3.001, 95% CI 1.640–5.492, p&lt;0.001).ConclusionsMS is an independent predictor of MACE in elderly populations, with central obesity, hypertension, and hyperglycemia being the most critical risk factors. …”
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Unveiling the pathogenic mechanisms of polyethylene terephthalate-microplastic-driven osteoarthritis and rheumatoid arthritis: PTGS2 signaling hub-oriented toxicity profiling by Jingkai Di, Shuang Wang, Lujia Liu, Keying Rong, Zijian Guo, Yingda Qin, Feida Wang, Chuan Xiang

“…After further screening, two proteins such as AKT1 and four proteins such as NR3C1 have relatively high predictive values in OA and RA respectively. Among them, PTGS2 and PET-MPs are strongly correlated targets causing injuries in OA and RA. …”
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