Age-related determinants of the metabolic syndrome in women of reproductive age of the main ethnic groups of the Baikal Region by L. V. Belenkaia, L. V. Suturina, M. A. Darenskaya, A. V. Atalyan, L. M. Lazareva, Ia. G. Nadelyaeva, N. I. Babaeva, L. F. Sholokhov, L. I. Kolesnikova

“…The determination of age criteria for the correct classification of patients with respect to the manifestations of the metabolic syndrome is necessary to analyze the contribution of the age factor to the implementation of various metabolic syndrome predictors, to  develop prognostic models, and to  use effective age-determined markers of metabolic disorders.…”
Get full text

Pharmacotherapy of psychiatric inpatients with mental and behavioral disorders caused by sedatives or hypnotics (F13): Results from an observational pharmacovigilance program betwe... by Philipp Pauwels, Beatrice Haack, Sermin Toto, Johanna Seifert, Renate Grohmann, Martin Heinze, Oliver Zolk, Phileas Johannes Proskynitopoulos, Michael Schneider, Timo Greiner

“…SHA SUD was classified using the 10th Edition of the International Classification of Disease (ICD-10). Results The present study included 1,015 patients with a primary diagnosis of mental and behavioral disorders due to use of sedatives or hypnotics (F13.1-F13.9). …”
Get full text

Relationship Between COPD Progression and Frailty Progression: A Five-year Observation in Real Clinical Practice by Nishimura K, Kusunose M, Shibayama A, Nakayasu K

“…Kihon Checklist scores range from 0 (no frailty) to 25 (severe frailty), categorizing participants as robust (0– 3), pre-frail (4– 7), or frail (8– 25). Annual changes were analyzed using linear mixed models.Results: A significant association was observed between time and worsening frailty classification, with patients transitioning from robust to pre-frail or from pre-frail to frail (odds ratio: 1.224, p = 0.004). …”
Get full text

Validation of insurance claims data on aetiology, surgical type and prosthesis for isolated valve surgery: a retrospective observational surgery by Shao-Wei Chen, Victor Chien-Chia Wu, Pao-Hsien Chu, An-Hsun Chou, Chun-Yu Chen, Feng-Cheng Chang, Yi‐Hsin Chan, Chia-Pin Lin, Yu-Ting Cheng, Bo-Cheng Hou, Jo-Ting Huang

“…Positive predictive values (PPVs) were calculated as the number of true positives divided by the total claims data.Results The PPVs (95% CI) for aortic valve (AV) surgery aetiologies were as follows: infectious endocarditis (IE), 94.1% (87.6%–97.7%); rheumatic heart disease (RHD), 88.2% (67.3%–97.5%); bicuspid AV, 93.3% (83.3%–98.1%); and degeneration, 91.7% (85.3%–95.8%). …”
Get full text

Acute Confusional Migraine: Unusual Great Masquerader—Case Report and Literature Review by Bashar Tanous, Raad Tahtouh, Sundus Sardar, Sara Mohamed, Aseel Sukik, Mhd-Baraa Habib, Jamal Sajid, Mouhand F. H. Mohamed

“…Moreover, the recent edition of the International Classification of Headache Disorders (ICHD-3) does not account for this entity, thereby further adding to physicians’ lack of awareness regarding this migraine subtype. …”
Get full text

Predicting Acetabular Component Size in Bipolar Hip Hemiarthroplasty Using Digital Radiographs: A Prospective Study on Accuracy by Umesh Samria, Naveen Sathiyaseelan, Akib Nisar Sheikh, Pankaj Jain, Pradeep Khinchi

“…Accuracy was slightly higher in female patients at 24 (90%) compared to males at 18 (78.3%). The inconsistencies were attributed to the limited availability of prosthesis sizes and the quality of radiography. …”
Get full text

Long Short-Term Memory-Based Fall Detection by Frequency-Modulated Continuous Wave Millimeter-Wave Radar Sensor for Seniors Living Alone by Yun Seop Yu, Seongjo Wie, Hojin Lee, Jeongwoo Lee, Nam Ho Kim

“…The Raw-LSTM model processed raw mmWave radar images through LSTM layers and dense layers for classification. The Raw-LSTM-Attention model extended Raw-LSTM with an added self-attention mechanism within the traditional attention framework. …”
Get full text

Zonal Estimation of the Earliest Winter Wheat Identification Time in Shandong Province Considering Phenological and Environmental Factors by Jiaqi Chen, Xin Du, Chen Wang, Cheng Cai, Guanru Fang, Ziming Wang, Mengyu Liu, Huanxue Zhang

“…Time-series datasets derived from Sentinel-1/2 imagery (2021–2022) were processed on the Google Earth Engine (GEE) platform, followed by feature selection and classification using the Random Forest (RF) algorithm. …”
Get full text

Exome sequencing in Nigerian children with early‐onset epilepsy syndromes by Ibitayo Abigail Ademuwagun, Yagoub Adam, Solomon Oladapo Rotimi, Steffen Syrbe, Maximilian Radtke, Julia Hentschel, Johannes R. Lemke, Ezekiel Adebiyi

“…Computational analysis involved variant calling, curation, and classification using specialized tools and databases. …”
Get full text

Prevalence, associated risk factors and satellite imagery analysis in predicting soil-transmitted helminth infection in Nakhon Si Thammarat Province, Thailand by Jarawadee Muenjak, Jutarat Thongrod, Chanakan Choodamdee, Pongphan Pongpanitanont, Manachai Yingklang, Tongjit Thanchomnang, Sakhone Laymanivong, Penchom Janwan

“…Mono-infections predominated, with Trichuris trichiura (5.02%) and hookworm (3.49%) being the most frequent. Mixed infections accounted for 1.25%, primarily co-infections of hookworm with T. trichiura (0.94%) or Strongyloides stercoralis (0.31%). …”
Get full text

Surgical subspecialization is associated with higher rate of rib fracture stabilization: a retrospective database analysis by Avanti Badrinathan, Anuja L Sarode, Christine E Alvarado, Jillian Sinopoli, Jonathan D Rice, Philip A Linden, Matthew L Moorman, Christopher W Towe

“…The outcome of interest was performance of SSRF, defined using International Classification of Diseases—10th Revision Procedure Coding System coding. …”
Get full text

Estimating the incidence of actionable drug-gene interactions in Japanese patients with major depressive disorder by Masakazu Hatano, Masashi Ikeda, Takeo Saito, Masami Miyata, Nakao Iwata, Shigeki Yamada

“…To clarify the clinical impact of pharmacogenetic testing, this study estimated the potential drug-gene interactions for first-time antidepressant treatment in Japanese patients with major depressive disorder.MethodsThis study retrospectively included Japanese patients who were registered for depressive episodes (F32, International Classification of Diseases, Tenth Revision) and initiated on antidepressants between July 2022 and March 2023. …”
Get full text

Special Needs in Substance Use Treatment for Women Who Use Drugs: Social and Mental Health Factors by Antonio Jesús Molina-Fernández, Jesús Saiz-Galdos, Irene María Arribas-Tiemblo, Gisela Hansen-Rodríguez, Iván Sánchez-Iglesias, Elena Ayllón-Alonso, Banesa Mena-García

“…Women who receive substance use treatment have a particular classification of sensitivity to European drugs and drug use (according to the EMCDDA). …”
Get full text

Early functional mobility predicts return to baseline function and discharge disposition after distal femur fractures in elderly by Eleanor H. Sato, MD, Tyler J. Thorne, MD, James W. Connelly, MD, Adam H. Kantor, MD, Dillon C. O'Neill, MD, Lucas S. Marchand, MD, Justin M. Haller, MD

“…AM-PAC may help identify patients needing additional interventions to improve function, discharge disposition, and risks associated with prolonged immobility. Level of Evidence:. III.…”
Get full text

Traumatic rib fractures: a marker of severe injury. A nationwide study using the National Trauma Data Bank by R Marijn Houwert, Yassine Ochen, Marilyn Heng, Rolf H H Groenwold, Jesse Peek, Noelle Saillant, Loek P H Leenen, Tarsicio Uribe-Leitz

“…Future studies should recognize these differences and treatment should be evaluated accordingly.Level of evidence II/III.…”
Get full text

Statistical analysis of an in-vehicle image-based data collection method for assessing airport pavement condition by Ianca Feitosa, Bertha Santos, Jorge Gama, Pedro G. Almeida

“…Non-parametric repeated measures analysis (nparLD) showed statistically similar results between methods for 9 of 12 distress type-severity combinations (4 types × 3 levels), especially for medium and high severity cases, and that pavement section and method-section factors were significant in 10 and 9 of 12 cases, respectively, indicating spatial variability. …”
Get full text

Pharmacological mydriasis in patients with type 2 diabetes. A comparative study among different levels of diabetic retinopathy by Felipe Bekman Rocha, Nadyr Antonia Damasceno, Luziane Herzog de Azeredo Ramalho, Adroaldo de Alencar Costa Filho, Marcio Penha Morterá Rodrigues, Maria Luiza Gois da Fonseca, Raphael Boechat, Rubens Antunes da Cruz Filho, Eduardo de França Damasceno

“…These patients with diabetes were divided into six groups according to the international classification of diabetic retinopathy study (no diabetic retinopathy or Group 1; mild non- proliferative diabetic retinopathy or Group 2; moderate non-proliferative diabetic retinopathy or Group 3; severe non-proliferative diabetic retinopathy or Group 4; proliferative diabetic retinopathy without retinal laser photocoagulation or Group 5; and proliferative diabetic retinopathy with panretinal laser photocoagulation or Group 6). …”
Get full text

Effects of pre-existing type 1 diabetes mellitus on survival outcome following out-of-hospital cardiac arrest: a registry-based observational study in Sweden by Truls Råmunddal, Zacharias Mandalenakis, Araz Rawshani, Oskar Angerås, Petur Petursson, Aidin Rawshani, Christian Dworeck, Erik Thunström, Berkan Eken, Antros Louca, Sadek Nadhir

“…Among them, 448 patients with T1D were identified using International Classification of Diseases-code: E10.Methods Survival analysis was performed using Kaplan-Meier and logistic regression. …”
Get full text

Total posterior quadrant disconnection for drug‐resistant epilepsy in children by Hao Yu, Chang Liu, Yu Sun, Yao Wang, Qingzhu Liu, Taoyun Ji, Shuang Wang, Xiaoyan Liu, Yuwu Jiang, Ye Wu, Lixin Cai

“…The study focused on Engel's classification for seizure outcomes, exploring correlation of preoperative data and surgical effectiveness, and predictors of seizure prognosis. …”
Get full text

Real-Time Intelligent Recognition and Precise Drilling in Strongly Heterogeneous Formations Based on Multi-Parameter Logging While Drilling and Drilling Engineering by Aosai Zhao, Yang Yu, Bin Wang, Yewen Liu, Jingyue Liu, Xubiao Fu, Wenhao Zheng, Fei Tian

“…The CatBoost model achieves a balanced accuracy of 92.7% and an F1-score of 89.3% in six lithology classifications. This approach delivers high-precision geo-engineering decision support for the real-time control of horizontal well trajectories, which holds significant implications for the precision drilling of strongly heterogeneous reservoirs.…”
Get full text