Prognostic significance of NT-proBNP and sST2 in patients with heart failure with preserved and mildly reduced ejection fraction by V. I. Podzolkov, N. A. Dragomiretskaya, A. V. Tolmacheva, I. I. Shvedov, A. A. Ivannikov, I. V. Akyol

“…At ROC analysis to one-year adverse events, both NT-proBNP and sST2 showed a significant predictive value in patients with EF >40% with an optimal cut-off value of 746 pg/ml (AUC 0.709; p = 0.005, sensitivity 62%, specificity 69%) and 27.1 ng/ml (AUC 0.742; p = 0.03, sensitivity 80%, specificity 75.8%) respectively.Conclusion: NT-proBNP levels >746 pg/ml and sST2 >27.1 ng/ml should be considered as predictors of poor prognosis in CHF patients with LVEF >40%.…”
Get full text

Biomarker, efficacy and safety analysis of transcatheter arterial chemoembolization combined with atezolizumab and bevacizumab for unresectable hepatocellular carcinoma by Shaobo Zhang, Zebin Zhu, Lianxin Liu, Björn Nashan, Shugeng Zhang

“…This study aims to evaluate the predictive value of the baseline neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in uHCC patients undergoing Atezo-Bev-TACE treatment. …”
Get full text

MULTISPIRAL COMPUTED TOMOGRAPHY VERSUS MYOCARDIAL BIOPSY IN DIAGNOSTICS OF YOCARDITIS AND PROGNOSIS EVALUATION OF DILATION CARDIOMYOPATHY SYNDROME by I. N. Alieva, O. V. Blagova, N. V. Gagarina, A. V. Nedostup, E. A. Kogan, V. P. Sedov, V. V. Kadochnikova, A. E. Donnikov, V. A. Zaydenov, A. G. Kupriyanova, S. K. Ternovoy

“…Sensitivity and specificity of all types of delayed accumulation in diagnostics of myocarditis were 63,3% and 78,7%, positive and negative predictive value 86,1% and 50,7%, subepicardial and transmural types — 49,0%, 83,0%, 85,7%, 43,8%, respectively. …”
Get full text

Stress hyperglycemia ratio as a biomarker for early mortality risk stratification in cardiovascular disease: a propensity-matched analysis by Mingxing Lei, Yan Li, Longcan Cheng, Nan Tang, Jie Song, Mi Song, QingQing Su, Mingxuan Liu, Shihui Fu, Feng Lin, Yuan Gao

“…The incremental predictive value of SHR support its utility for risk stratification, particularly for short-term outcomes, but its prognostic value fades for long-term mortalities. …”
Get full text

Evaluating the potential of phenotypic age to enhance cardiovascular risk prediction over chronological age in the UK Biobank by Kristine J. S. Kwan, Shi-Shuai Xie, Hai-Lei Li, Xue-Guang Lin, Yi-Jie Lu, Bo Chen, Kai-Xin Ge, Shu-Ya Tang, Hui Zhang, Shuai Jiang, Jing-Dong Tang

“…We applied a Cox regression model with time-dependent variables to assess the association between PhenoAgeAccel and incident CVD. The predictive value of PhenoAge and PhenoAgeAccel was evaluated with reference to the Framingham Risk Score (FRS) model using Kaplan-Meier curves, receiver operating characteristic curves (AUC), and Harrel’s C-index. …”
Get full text

CPAP modulation of sleep microstructure (N2-SSD and REM-AHI) as predictors of neurological recovery in ischemic stroke patients with moderate-to-severe OSA by Tianyu Jing, Tianyu Jing, Tianyu Jing, Liwen Xu, Liwen Xu, Shutong Sun, Wenyi Yu, Wenyi Yu, Yixi Zheng, Yixi Zheng, Gang Xu, Xinhao Shen, Tieyu Tang, Cheng Chu, Cheng Chu

“…Continuous positive airway pressure (CPAP) therapy is the primary treatment for stroke-related OSA; however, its positive effects on patient prognosis and the underlying mechanisms remain controversial.ObjectiveThis study aimed to investigate the impact of CPAP therapy on the recovery of IS patients with moderate-to-severe OSA and to identify biomarkers significantly associated with prognosis to assess their predictive value for short-term neurological outcomes. …”
Get full text

Risk factors of adverse outcome of COVID-19 and experience of Tocilizumab administration in patients on maintenance hemodialysis due to diabetic kidney disease by E. M. Zeltyn-Abramov, M. A. Lysenko, N. F. Frolova, T. N. Markova, N. I. Belavina, N. N. Klochkova, S. V. Kondrashkina, R. T. Iskhakov, A. I. Ushakova

“…For risk identification of upcoming lethal outcome a predictive model was created with the use of discovered RF as variables. The predictive value of this model is 92,45% (positive prognostic value — 96,5%, negative prognostic value — 87,5%).In TCZ treated subgroup the laboratory markers of adverse outcome were detected with application of correlation analysis. …”
Get full text

Multidrug-resistant Klebsiella pneumoniae coinfection with multiple microbes: a retrospective study on its risk factors and clinical outcomes by Xixi Song, Chonghe Xu, Zhongqi Zhu, Chenchen Zhang, Chao Qin, Juan Liu, Xiaoli Kong, Zhijun Zhu, Wei Xu, Mei Zhu

“…This study successfully established a predictive model based on risk factors, which has good predictive value for both patients with coinfections and those with CRKP. …”
Get full text

Triglyceride glucose waist circumference and non alcoholic fatty liver disease: a systematic review and meta analysis by Ziyi Xin, Lanlan Feng, Qingwen Yu, Yongmin Shi, Ting Tang, Xuhan Tong, Siqi Hu, Yao You, Shenghui Zhang, Xingwei Zhang, Mingwei Wang, Jiake Tang

“…The triglyceride glucose-waist circumference (TyG-WC) index, a novel measure for assessing IR, may hold significant predictive value for NAFLD. However, the relationship between TyG-WC and the risk of NAFLD remains elusive. …”
Get full text

Quantifying Flavin mononucleotide: an internationally validated methodological approach for enhanced decision making in organ transplantationResearch in context by Keyue Sun, Chunbao Jiao, Rebecca Panconesi, Sangeeta Satish, Omer F. Karakaya, Femke H.C. De Goeij, Tobias Diwan, Khaled Ali, Lorenzo A. Cadinu, Beatrice Cazzaniga, Qiang Liu, Yuki Miyazaki, Alejandro Pita, Mazhar Khalil, JaeKeun Kim, Ahmed Hussein, Philipp C. Müller, Federico Aucejo, David H.C. Kwon, Eduardo Fernandes, Jamak Modaresi Esfeh, Jacek Cywinski, Masato Fujiki, Lidong Sun, Antonio Pinna, Philipp Dutkowski, Chase J. Wehrle, Robert L. Fairchild, David Meierhofer, Jeroen De Jonge, Charles Miller, Koji Hashimoto, Andrea Schlegel

“…This method could provide better a predictive value for transplant outcomes compared to existing parameters currently in use. …”
Get full text

Association between obesity indexes and chronic kidney disease risk: a double-cohort prospective study in the Binhai and UK Biobank by Suhua Gao, Suhua Gao, Yixi Liu, Yixi Liu, Yixi Liu, Hongyan Liu, Hongyan Liu, Yao Lin, Yao Lin, Pufei Bai, Pufei Bai, Fang Hou, Shan Lu, Shan Lu, Saijun Zhou, Saijun Zhou, Haizhen Sun, Haizhen Sun, Guangyang Ma, Guangyang Ma, Hao Liu, Mianzhi Zhang, Zhuang Cui, Pei Yu, Pei Yu

“…The aim of this study was to evaluate the predictive value of 10 obesity indexes for the risk of chronic kidney disease (CKD) in both Chinese populations and Western.MethodsThe Tianjin Chronic Kidney Disease Study (Binhai, primary cohort) included 126,109 participants, while 358,918 adults from the U.K. …”
Get full text

Development and external validation of a nomogram prediction model based on quantitative coronary angiography for predicting ischemic lesions: a multi-centre study by Shuai Yang, Shuai Yang, Shuang Leng, Shuang Leng, Zhouchi Wang, Jiang Ming Fam, Jiang Ming Fam, Adrian Fatt Hoe Low, Adrian Fatt Hoe Low, Ru-San Tan, Ru-San Tan, Ping Chai, Ping Chai, Lynette Teo, Lynette Teo, Chee Yang Chin, Chee Yang Chin, John C. Allen, Mark Yan-Yee Chan, Mark Yan-Yee Chan, Khung Keong Yeo, Khung Keong Yeo, Aaron Sung Lung Wong, Aaron Sung Lung Wong, Soo Teik Lim, Soo Teik Lim, Qinghua Wu, Liang Zhong, Liang Zhong, Liang Zhong

“…For per-patient analysis, the corresponding values were 85.8%, 85.7%, 86.0% in the development cohort and 82.2%, 83.3%, 81.1% in the validation cohort.ConclusionThe nomogram may be useful for predicting ischemic lesions using QCA measurements and the LASSO regression algorithm, with external validation indicating potential predictive value in cardiology care settings.…”
Get full text

Elevated FDG uptake in non-tumorous lung regions does not predict immune checkpoint inhibitor–related pneumonitis in lung cancer patients by Friederike Völter, Friederike Völter, Friederike Völter, Lukas Wehlte, Blerina Resuli, Blerina Resuli, Blerina Resuli, Julia Walter, Julia Walter, Julia Walter, Lea Daisenberger, Maria Ingenerf, Maurice Heimer, Matthias Brendel, Matthias Brendel, Matthias Brendel, Gabriel T. Sheikh, Lena M. Unterrainer, Lena M. Unterrainer, Lena M. Unterrainer, Diego Kauffmann-Guerrero, Diego Kauffmann-Guerrero, Diego Kauffmann-Guerrero, Thomas Pfluger, Lucie Heinzerling, Lucie Heinzerling, Amanda Tufman, Amanda Tufman, Amanda Tufman

“…Logistic regression analyses were performed to identify the predictive value of pretreatment SUV for the development of cinrPneumonitis.ResultsA total of 239 patients were included, of whom 41 (17.2%) developed cinrPneumonitis. …”
Get full text

PD-L1 quantification across tumor types using the reverse phase protein microarray: implications for precision medicine by Mariaelena Pierobon, Johann De Bono, Ruth Riisnaes, Giuseppe Giaccone, Matthew Blackburn, Lance Liotta, Vienna Ludovini, Neil J Shah, Giuseppina Improta, Antonella Ravaggi, Niven Mehra, Angelo Sidoni, Elisa Baldelli, K Alex Hodge, Guido Bellezza, Guido Gambara, Martina Mandarano, Chamodya Ruhunusiri, Bryant Dunetz, Maysa Abu-Khalaf, Julia Wulfkuhle, Rosa I Gallagher, Franco Odicino, Maria Isabella Sereni, Angela Zupa, Perry Demsko, Lucio Crino', Emanuel F Petricoin

“…While immunohistochemistry-based assays are routinely used to assess PD-L1 expression, their clinical utility remains controversial due to the partial predictive value and lack of standardized cut-offs across antibody clones. …”
Get full text

Assessment of <i>ERBB2</i> and HER2 expression in metastatic breast cancer using the nCounter® system and a 100-gene scale by R.  M.  Paltuev, O.  A.  Volynshchikova, Sh.  R.  Abdullaeva, S.  N.  Aleksakhina, A.  S.  Artemyeva, E.  A.  Baychorov, S.  Yu.  Bakharev, Yu.  A.  Belaya, A.  A.  Bozhok, V.  A.  Vasin, V.  I.  Vladimirov, A.  Yu.  Vorontsov, E.  A.  Gaysina, A.  A.  Gofman, V.  N.  Dmitriev, E.  N.  Imyanitov, V.  V.  Klimenko, A.  V.  Komyakhov, M.  M.  Konstantinova, M. V.  Kopp, A.  G.  Kudaybergenova, I.  A.  Lalak, D.  L.  Matevosyan, N.  M.  Mudzhiri, O.  V.  Poltareva, O.  I.  Sevryukova, V.  F.  Semiglazov, T.  Yu.  Semiglazova, M.  M.  Urezkova, A.  S.  Chichkanova, L.  A.  Churilova, M.  V.  Shomova

“…We analyzed the expression of 28 genes with a high predictive value for breast cancer.Results. The nCounter technology allowed us to perform semiquantitative assessment of the expression of 28 genes in tumor tissue samples. …”
Get full text

Accuracy of core biopsy image-guided post-neoadjuvant chemotherapy breast to predict pathologic complete response by P. V. Krivorotko, V. V. Mortada, R. S. Pesotskiy, A. S. Artemyeva, A. S. Emelyanov, S. S. Ereshchenko, G. A. Dashyan, N. S. Amirov, T. T. Tabagua, L. P. Gigolaeva, A. V. Komyakhov, K. S. Nikolaev, M. M. Mortada, K. Yu. Zernov, E. K. Zhiltsova, V. O. Smirnova, Ya. I. Bondarchuk, D. A. Enaldieva, S. N. Novikov, E. A. Busko, A. V. Chernaya, P. I. Krzhivitskiy, R. M. Paltuev, T. Yu. Semiglazova, V. F. Semiglazov, A. M. Belyaev

“…Performance of image-guided core-biopsy: sensitivity 100 % (95 % confldence interval (CI) 90.51-100), specificity 62.5 % (95 % CI 40.59-81.20), false-negative rate (FNR) 0 %, positive-pre­dictive value (PPV) 75.00 % (95 % CI 59.46-85.99), negative predictive value (NPV) 100.00 %.Conclusion. This retrospective trial showed that ultrasound-guided core biopsies are accurate enough to identify breast pCR in patients with triple-negative or HER2-positive BC with good response after NST (FNR 0 %). …”
Get full text

Associations of Blood Pressure and Heart Rate and Their Contribution to the Development of Cardiovascular Complications and All-Cause Mortality in the Russian Population of 25-64 Y... by S. A. Shalnova, V. A. Kutsenko, A. V. Kapustina, E. B. Yarovaya, Yu. A. Balanova, S. E. Evstifeeva, A. E. Imaeva, S. A. Maksimov, G. A. Muromtseva, N. V. Kulakova, O. N. Kalachikova, T. M. Chernykh, O. A. Belova, G. V. Artamonova, E. V. Indukaeva, Yu. I. Grinshtein, R. A. Libis, D. V. Duplyakov, O. P. Rotar, I. A. Trubacheva, V. N. Serebryakova, A. Yu. Efanov, A. O. Konradi, S. A. Boytsov, O. M. Drapkina

“…To study the relationship of blood pressure (BP) and heart rate (HR) in a sample of men and women 25-64 years old and their predictive value for the development of fatal and non-fatal cardiovascular diseases (CVD) and mortality from all causes.Material and methods. …”
Get full text

Predictive multigenic scale. Analysis of own results in metastatic breast cancer by R. M. Paltuev, S. N. Aleksakhina, A. S. Artemyeva, E. A. Baychorov, S. Yu. Bakharev, A. A. Bozhok, V. A. Vasin, V. I. Vladimirov, O. A. Volynshchikova, A. Yu. Vorontsov, E. A. Gaysina, A. A. Hoffman, E. N. Imyanitov, V. V. Klimenko, A. V. Komyakhov, M. M. Konstantinovа, M. V. Kopp, A. G. Kudaybergenova, I. A. Lalak, D. L. Matevosyan, N. M. Mudzhiri, O. V. Poltareva, O. I. Sevryukova, V. F. Semiglazov, T. Yu. Semiglazova, M. M. Urezkova, L. A. Churilova

“…We analyzed the expression of 28 genes with a high predictive value that have been substantially studied (including ESR1, PGR, PIK3CA, BCAR4, BCAS2, CCND1, CCND2, CCND3, FOXA1, Erb2, EGFR, CDH3, FOXC1, KRT14, KRT5, CD274, CDK4, CDK6, P53, PTEN, BRCA1, BRCA2, CHEK2, CLDN3, CLDN7, AR, TOP2a, TUBBIII). …”
Get full text

Development of a predictive model for metachronous liver metastasis in gastric cancer by Siyuan Wang, Siyuan Wang, Gaozan Zheng, Fengsu Wu, Ye Tian, Xinyu Qiao, Xinyu Dou, Hanjun Dan, Hanjun Dan, Guangming Ren, Liaoran Niu, Pengfei Wang, Lili Duan, Yumao Yang, Jianyong Zheng, Fan Feng

“…Besides conventional parameters, we identified and incorporated peripheral blood monocyte and lymphocyte counts as novel predictors, demonstrating their independent predictive value. Integrating these factors into nomogram could enhance predictive accuracy of MLM.…”
Get full text

Metabolic parameters on baseline and early [18F]FDG PET/CT as a predictive biomarker for resistance to BRAF/MEK inhibition in advanced cutaneous BRAFV600-mutated melanoma by Bernies van der Hiel, Berlinda J. de Wit - van der Veen, Alfons J. M. van den Eertwegh, Wouter V. Vogel, Marcel P. M. Stokkel, Marta Lopez-Yurda, Ronald Boellaard, Ellen W. Kapiteijn, Geke A. P. Hospers, Maureen J. B. Aarts, Filip Y. F. L. de Vos, Marye J. Boers-Sonderen, Astrid A. M. van der Veldt, Jan Willem B. de Groot, John B. A. G. Haanen

“…This study evaluates the predictive value of SUVpeak, MTV, and TLG in predicting progression-free survival (PFS) in advanced BRAF-mutated melanoma treated with BRAF/MEK inhibitors. …”
Get full text