Ultrasensitive interferons quantification reveals different cytokine profile secretion in inflammatory myopathies and can serve as biomarkers of activity in dermatomyositis by Loïs Bolko, Loïs Bolko, Loïs Bolko, Céline Anquetil, Céline Anquetil, Alba Llibre, Solène Maillard, Damien Amelin, Karim Dorgham, Vincent Bondet, Océane Landon-Cardinal, Océane Landon-Cardinal, Océane Landon-Cardinal, Ségolène Toquet, Ségolène Toquet, Kuberaka Mariampillai, Samuel Malatre, Alexandrine Mahoudeau, Baptiste Hervier, Mathieu Rodero, Guy Gorochov, Darragh Duffy, Olivier Benveniste, Olivier Benveniste, Yves Allenbach, Yves Allenbach

“…ObjectiveThe objective of this study was to evaluate the presence of different types of interferon in idiopathic inflammatory myopathies (IIM) and their subgroups using ultrasensitive cytokine detection techniques (SIMOA) and to assess their potential as activity biomarkers.MethodsDisease activity was measured at the time of serum collection and assessed by manual muscle testing eight (MMT8 score 0-150), muscle enzymes to calculate the Physician Global Assessment (PGA) (0-10). …”
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Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients by Nuttinan Nalinthasnai, Ratchainant Thammasudjarit, Tanapat Tassaneyasin, Dararat Eksombatchai, Somnuek Sungkanuparph, Viboon Boonsarngsuk, Yuda Sutherasan, Detajin Junhasavasdikul, Pongdhep Theerawit, Tananchai Petnak

“…This study aimed to classify hospitalized COVID-19 pneumonia subgroups using an unsupervised machine learning approach. …”
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Association of Sociodemographic Factors With Overtriage, Undertriage, and Value of Care After Major Surgery by Tyler J. Loftus, MD, Matthew M. Ruppert, MS, Benjamin Shickel, PhD, Tezcan Ozrazgat-Baslanti, PhD, Jeremy A. Balch, MD, Kenneth L. Abbott, MD, Die Hu, MS, Adnan Javed, MD, Firas Madbak, MD, Faheem Guirgis, MD, David Skarupa, MD, Philip A. Efron, MD, Patrick J. Tighe, MD, William R. Hogan, MD, Parisa Rashidi, PhD, Gilbert R. Upchurch, Jr, MD, Azra Bihorac, MD

“…In a fair system, overtriage of low-acuity patients to intensive care units (ICUs) and undertriage of high-acuity patients to general wards would affect all sociodemographic subgroups equally. Methods:. This multicenter, longitudinal cohort study of hospital admissions immediately after major surgery compared hospital mortality and value of care (risk-adjusted mortality/total costs) across 4 cohorts: overtriage (N = 660), risk-matched overtriage controls admitted to general wards (N = 3077), undertriage (N = 2335), and risk-matched undertriage controls admitted to ICUs (N = 4774). …”
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Glucose Metabolism Changes in Patients with Chronic Hepatitis C Treated with Direct Acting Antivirals by Sylvia Drazilova, Martin Janicko, Lubomir Skladany, Pavol Kristian, Marian Oltman, Maria Szantova, Dusan Krkoska, Eva Mazuchova, Lubica Piesecka, Veronika Vahalova, Marek Rac, Ivan Schreter, Ladislav Virag, Tomas Koller, Adriana Liptakova, Miriam Ondrasova, Peter Jarcuska

“…Significant decrease of fasting glycemia after the DAA treatment was observed in the whole cohort and in subgroups of patients with T2DM, IFG, cirrhotic, and treatment experienced patients.…”
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Evaluating the Effectiveness of Cyclin-Dependent Kinase 4/6 Inhibitors in Early- and Very Early-Onset Metastatic Breast Cancer: A Multicenter Study by Akif Doğan, Nurullah İlhan, Goncagül Akdağ, Sedat Yıldırım, Mustafa Seyyar, Zeynep Yüksel Yaşar, Hande Nur Erölmez, Heves Sürmeli, Buğra Öztosun, Özlem Nuray Sever, Hatice Odabaş, Mahmut Emre Yıldırım, Devrim Çabuk, Nedim Turan, Mahmut Gümüş

“…The findings underscore the urgent need for personalized treatment strategies, routine genetic testing, and dedicated clinical trials designed to address the specific needs of these high-risk subgroups. By advancing our understanding of the clinical and molecular landscape of early-onset breast cancer and very early-onset breast cancer, this study lays the groundwork for improving outcomes in these underserved patients through tailored therapeutic approaches.…”
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Core microbe Bifidobacterium in the hindgut of calves improves the growth phenotype of young hosts by regulating microbial functions and host metabolism by Yimin Zhuang, Duo Gao, Wen Jiang, Yiming Xu, Guanglei Liu, Guobin Hou, Tianyu Chen, Shangru Li, Siyuan Zhang, Shuai Liu, Jingjun Wang, Jianxin Xiao, Mengmeng Li, Wei Wang, Shengli Li, Zhijun Cao

“…Conclusions In summary, cluster analysis has proved to be a feasible and reliable approach for identifying phenotypic subgroups of calves, prompting further exploration of host-microbiome interactions. …”
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Malícia honey (Mimosa quadrivalvis L.) produced by the jandaíra bee (Melipona subnitida D.) shows antioxidant activity via phenolic compound action in obese rats by Maria Luiza Rolim Bezerra, Maria Luiza Rolim Bezerra, Mirela Gouveia-Nhanca, Mirela Gouveia-Nhanca, Maria Letícia da Veiga Dutra, Maria Letícia da Veiga Dutra, Kamila Sabino Batista, Alana Natalícia Vasconcelos de Araújo, Alana Natalícia Vasconcelos de Araújo, Marcos dos Santos Lima, Marcos dos Santos Lima, Mateus Duarte Ribeiro, Mateus Duarte Ribeiro, Alexandre Sergio Silva, Alexandre Sergio Silva, Alexandre Sergio Silva, Adriano Francisco Alves, Tatiana Colombo Pimentel, Marciane Magnani, Marciane Magnani, Jailane de Souza Aquino, Jailane de Souza Aquino, Jailane de Souza Aquino

“…After this period, these groups were again randomised into four subgroups: healthy (HG, n = 10), obese (OG, n = 10), healthy with malícia honey administration (1,000 mg/kg; HGH, n = 10), and obese with malícia honey administration (1,000 mg/kg; OGH, n = 10) for the final 8 weeks fed the previously mentioned diets. …”
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Regional disparities in the use of intensive chemotherapy for AML in the Netherlands: does it influence survival? by Hester F Lingsma, David van Klaveren, Arjan A van de Loosdrecht, Anna van Rhenen, Otto Visser, Valery E P P Lemmens, Nikki van Leeuwen, Gerwin Huls, Z L Rana Kaplan, Eduardus F M Posthuma, Danielle van Lammeren-Venema, Tjeerd J F Snijders, Catharina H M J van Elssen, Peter A von dem Borne, Nicole M A Blijlevens, Jan J Cornelissen, Marc H G P Raaijmakers, Avinash G Dinmohamed

“…Regional variance was assessed for the entire population and age subgroups (ie, ≤60 years and >60 years) using multivariable mixed effects logistic and Cox proportional hazard regression analyses, expressed via median OR (MOR) and median HR (MHR).Results Including all adult AML patients from 2014 to 2018 (N=4060 patients; 58% males; median age, 70 years), 1761 (43%) received ICT. …”
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A Novel Immune-Related lncRNA-Based Model for Survival Prediction in Clear Cell Renal Cell Carcinoma by Zedan Zhang, Yanlin Tang, Yanjun Liu, Hongkai Zhuang, Enyu Lin, Lu Xie, Xiaoqiang Feng, Kaiwen Tian, Jiayi Zeng, Jiumin Liu, Yuming Yu

“…Its wide diagnostic capacity was revealed in different subgroups of clinical parameters. Then AJCC-stage, Fuhrman-grade, pharmaceutical, age, and risk score regarded as independent prognostic factors were integrated to construct a nomogram, whose good performance in predicting 3-, 5-, and 7-year overall survival of ccRCC patients was revealed by time-dependent ROC curves and verified by the testing sets and ICGC dataset. …”
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Ethnoracial disparities in childhood growth trajectories in Brazil: a longitudinal nationwide study of four million children by Helena Benes Matos da Silva, Rita de Cássia Ribeiro-Silva, Juliana Freitas de Mello e Silva, Irina Chis Ster, Poliana Rebouças, Emanuelle Goes, Maria Yury Ichihara, Andrêa Ferreira, Julia M. Pescarini, Rosemeire Leovigildo Fiaccone, Enny S. Paixão, Maurício L. Barreto

“…Over time, z-scores for most of the subgroups analyzed trended below zero. Children of mother in greater social vulnerability showed less favorable growth. …”
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The prognostic value of systemic immune-inflammation index in patients with unresectable hepatocellular carcinoma treated with immune-based therapy by Tian He, Bin Xu, Lu-Na Wang, Zi-Yi Wang, Huan-Chen Shi, Cheng-Jie Zhong, Xiao-Dong Zhu, Ying-Hao Shen, Jian Zhou, Jia Fan, Hui-Chuan Sun, Bo Hu, Cheng Huang

“…Univariate and multivariate logistic regression indicated that SII was a significant predictor of the objective response rate (ORR), which was markedly different between the low and high SII subgroups (34.72% vs. 9.52%, P = 0.019). This finding was consistent in the validation cohort (34.09% vs. 16.28%, P = 0.026). …”
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The prevalence of hand pathology in regional orthopaedic hospitals in KwaZulu-Natal: A cross-sectional study by S Thabit, M O'Connor, W Parker, T Mashishi, K Moodley, A Peer, K Matanzima, A J de Villiers, O Adewusi, R Aboobaker, A Rocher

“…Patients were categorised into hand pathology (HP) and general orthopaedic pathology (OP) groups, which were each subdivided into trauma and non-trauma subgroups. Demographic details were collected for all patients. …”
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Diagnostic accuracy of calculated serum osmolarity to predict dehydration in older people: adding value to pathology laboratory reports by Lee Shepstone, John F Potter, Lee Hooper, Asmaa Abdelhamid, Amy Jennings, Paul R Hunter, W Garry John, Neil P Walsh, Adam Ali, Diane K Bunn, Susan Kerry, Gregor Lindner, Carmen A Pfortmueller, Fredrik Sjöstrand, Susan J Fairweather-Tait

“…Of 39 osmolarity equations, 5 showed reasonable agreement with directly measured osmolality and 3 had good predictive accuracy in subgroups with diabetes and poor renal function. Two equations were characterised by narrower limits of agreement, low levels of differential bias and good diagnostic accuracy in receiver operating characteristic plots (areas under the curve >0.8). …”
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KEAP1 mutations as key crucial prognostic biomarkers for resistance to KRAS-G12C inhibitors by Linyan Tian, Chengming Liu, Sufei Zheng, Huiyang Shi, Fang Wei, Wenxin Jiang, Yucheng Dong, Haiyan Xu, Enzhi Yin, Nan Sun, Jie He, Yan Wang

“…Conclusion This research affirms KRAS-G12C inhibitors as promising treatments, especially for certain patient subgroups, and underscores KEAP1 mutations as key biomarkers for resistance. …”
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Medication adherence and blood pressure control in treated hypertensive patients: first follow-up findings from the PREDIcT-HTN study in Northern Bangladesh by Ahmed Hossain, Gias Uddin Ahsan, Mohammad Zakir Hossain, Mohammad Anwar Hossain, Probal Sutradhar, Sarowar-E. Alam, Zeeba Zahra Sultana, Heba Hijazi, Syed Azizur Rahman, Mohamad Alameddine

“…Most patients (78%) displayed moderate adherence, and 15% showed poor medication adherence. Certain patient subgroups had higher rates of poor adherence: females (17.1%) compared to males (12.2%), rural residents (22.4%) compared to city-dwellers (12.2%), and newly diagnosed patients (17.2%) compared to those diagnosed 2–5 years earlier (12.6%). …”
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The Differential Expressions and Associations of Intracellular and Extracellular GRP78/Bip with Disease Activity and Progression in Rheumatoid Arthritis by Guoyin Liu, Jianping Wu, Yongqiang Wang, Yuansheng Xu, Chun Xu, Guilin Fang, Xin Li, Jianmin Chen

“…Among patients with RA, six different subgroups were established based on their disease activity and progression. …”
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Elevated Circulating Adipocyte-Fatty Acid Binding Protein Levels Predict Incident Ischemic Cardiovascular Events in a Longitudinal and Prospective AMI Aging Study by Zhao X, Zhao H, Chen R, Zhou J, Li N, Li J, Yan S, Liu C, Zhou P, Chen Y, Song L, Yan H

“…Initially, participants were stratified into three groups according to the tertile levels of FABP4, followed by further categorization based on various lipid profiles and specific inflammatory markers.Results: On follow-up (median 751 days, maximum 1506 days), a total of 158 ischemic events were recorded. 1) In multivariable models meticulously adjusted for age, gender, traditional coronary heart disease factors, Killip classification, and discharge medications, the association of elevated levels of FABP4 (Tertile 3 HR 1.618 [1.061 to 2.468], p=0.026), augmented concentrations of PTX3 (Tertile 3 HR 1.811 [1.211 to 2.710], p=0.004), or LL-37 (Tertile 3 HR 0.651 [0.433 to 0.981], p=0.040) with ischemic risk was markedly intensified. 2) Multivariate HRs associated with 1 standard deviation (SD) (mg/dL) increase in the FABP4 parameters were as follows in different subgroups. 1-SD difference in FABP4 was associated with a 23%, 23%, 21 and 29% increase in ischemic events over after fully adjusted the confounding risk factors among male, patients with hyperlipidemia, hypertension and diabetes respectively. 3) The Kaplan-Meier curve demonstrated significant differences between the tertiles of FABP4 index levels among all enrolled participants (p=0.0180).Conclusion: This study reinforces the utility of FABP4 for enhancing risk stratification specifically among older patients diagnosed with ST-elevation myocardial infarction.Keywords: FABP4, lipid profile, PTX3, LL-37, ischemic vascular events…”
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Impact of estimated glomerular filtration rate (eGFR) on in-hospital mortality: an age- and HIV status-specific retrospective cohort study in Uganda by Odong Christopher, Wang Yanmei, Makabayi Emmanuel Yeko, Doreen Mary Nanyunja, Kuule Julius Kabbali

“…Among age stratification-subgroups: age < 40yrs: 0.93[95%CI: 0.89–0.97, p < 0.001, β = -0.07]; 40-60yrs: 0.98[95%CI: 0.966–0.999, p = 0.039, β = -0.02]; ≥ 60yrs, p < 0.005 with p-value-interaction for age = 0.046; and HIV-positive: 0.94[95%CI: 0.905–0.974, p < 0.001, β = -0.06] with p-value-interaction = 0.021. …”
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Evaluation of the Mechanical Properties of Different Dental Resin-Based Materials After Submersion in Acidic Beverages by Răzvan Constantin Brânzan, Ionuț Tărăboanță, Cristina Angela Ghiorghe, Simona Stoleriu, Vlad Cârlescu, Andra Claudia Tărăboanță-Gamen, Sorin Andrian

“…Then, the samples were distributed into four subgroups according to the submersion solution: <i>a</i> (<i>n</i> = 10): artificial saliva, <i>b</i> (<i>n</i> = 10): coffee, <i>c</i> (<i>n</i> = 10): cola and <i>d</i> (<i>n</i> = 10): red wine. …”
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Gender and ethnoracial disparities in Veterans’ trauma exposure prevalence across differing life phases by Fernanda S. Rossi, Yael I. Nillni, Alexandria N. Miller, Annie B. Fox, Johanne Eliacin, Paula P. Schnurr, Christopher C. Duke, Jaimie L. Gradus, Tara E. Galovski

“…Conclusions Findings help uncover disparities within Veteran subgroups. They inform mental health treatment and prevention services to better meet the needs of all Veterans across differing life phases.…”
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