Results of thrombectomy in lower-extremity ischemia in patients with COVID-19 and respiratory failure of different severity by E. A. Polyanskaya, K. V. Sidorova, A. P. Obernina, R. Yu. Lider, A. V. Korotkikh, Zh. G. Beglaryan, A. A. Snigur, O. Sh. Mukhtorov, O. V. Lebedev, S. V. Golokhvastov, S. V. Artyukhov, I. I. Ageev, А. А. Rogova, I. A. Kalichkin, A. N. Kazantsev

“…To analyze the results of thrombectomy in lower-extremity ischemia in patients with coronavirus disease 2019 (COVID-19) and respiratory failure of different severity.Material and methods. This retrospective, cohort, comparative study for the period from May 1, 2020 to March 1, 2022 included 305 patients with acute lower-extremity ischemia and COVID-19. …”
Get full text

Implementation of the Lupus Low Disease Activity State in Pediatric Rheumatology Care: The Role of the Visual Analog Scale by Ekemini A. Ogbu, Anna Carmela P. Sagcal‐Gironella, B. Anne Eberhard, Jennifer M. Huggins, Marisa S. Klein‐Gitelman, Karen Onel, Chen Chen, Bin Huang, Hermine I. Brunner

“…Objective We compared the measurement properties of a traditional physician global assessment of disease activity (PhGA) 10‐cm visual analog scale (PhGA0–10) with that of the three‐point numeric scale (PhGA0–3) in childhood‐onset systemic lupus erythematosus (cSLE) as part of the childhood Lupus Low Disease Activity State (cLLDAS). Methods We used a secondary data analysis from a convenience sample of 100 patients with cSLE followed every three months for up to seven visits. …”
Get full text

Dental caries prevalence among Type 1 diabetes mellitus (T1DM) 6- to 12-year-old children in Riyadh, Kingdom of Saudi Arabia compared to non-diabetic children by Abid Hamoud Al-Badr, Albandary Hassan AlJameel, Hassan Suliman Halawany, Yousra Hussein Al-Jazairy, Mohamad Khalid Alhadlaq, Nassr Saleh Al-Maflehi, Jehan Adnan Al-Sharif, Vimal Jacob, Nimmi Abraham

“…Objective: The aim of this study was to compare the prevalence of dental caries among groups of 6–12-year-old children with and without Type 1 diabetes mellitus (T1DM) in Riyadh, Saudi Arabia, taking into account oral health behaviour, diet, and salivary parameters. Methods: The study was designed as a comparable study of dental caries experience between T1DM and non-diabetic groups of children. …”
Get full text

Lipid Accumulation Product and Cardiometabolic Index as Effective Tools for the Identification of Athletes at Risk for Metabolic Syndrome by Giuseppe Di Gioia, Armando Ferrera, Mihail Celeski, Raffaella Mistrulli, Erika Lemme, Federica Mango, Maria Rosaria Squeo, Antonio Pelliccia

“…We aimed to assess the role of LAP and CMI in predicting MS in athletes. Methods: We retrospectively enrolled 793 Olympic athletes practicing different sporting disciplines (power, skill, endurance, and mixed), classified arbitrarily into no risk (NR), low risk (LR), high risk (HR), or MS if they had 0, 1, 2, or 3 criteria for MS, respectively. …”
Get full text

Longitudinal Follow‐Up of Patients With Duchenne Muscular Dystrophy Using Quantitative 23Na and 1H MRI by Teresa Gerhalter, Benjamin Marty, Lena V. Gast, Frank Roemer, Pierre‐Yves Baudin, Regina Trollmann, Michael Uder, Pierre G. Carlier, Armin M. Nagel

“…Additionally, we quantified the effect of slice selection on measured sodium values. Methods Thirteen DMD boys (age 7.8 ± 2.4 years) underwent MRI of lower leg muscles at 3T at three visits, spaced 6 months apart. …”
Get full text

Assessing Patient-Reported Satisfaction With Care and Documentation Time in Primary Care Through AI-Driven Automatic Clinical Note Generation: Protocol for a Proof-of-Concept Study by Josep Vidal-Alaball, Carlos Alonso, Daniel Hugo Heinisch, Alberto Castaño, Encarna Sánchez-Freire, María Luisa Benito Serrano, Carla Ferrer Pascual, Ignacio Menacho, Ruthy Acosta-Rojas, Odda Cardona Gubert, Rosa Farrés Creus, Joan Armengol Alegre, Carles Martínez Querol, Marina Moreno-Martinez, Mercè Gonfaus Font, Silvia Narejos, Anna Gomez-Fernandez

“… BackgroundRelisten is an artificial intelligence (AI)–based software developed by Recog Analytics that improves patient care by facilitating more natural interactions between health care professionals and patients. …”
Get full text

Ultrasonographic Evaluation of Uterine LSCS Scar and its Impact on Maternal Outcomes: A Cross-sectional Study by Hemant Deshpande, Rohit Dimbar, Shriraj Katakdhond, Saba Chaudhary

“…A sample of 284 pregnant women, at a gestational age of over 35 weeks with a history of previous CS, was recruited. …”
Get full text

Fuerza explosiva en adultas mayores, efectos del entrenamiento en fuerza máxima (Explosive strength in older adults, training effects on maximum strength) by Laura Elizabeth Castro jimenez, Angela Yazmin Galvez Pardo, Gustavo Andres Guzman Quintero, Ana Isabel Garcia Muñoz

“…In older adults there is a decrease in muscle strength that is more significant in women than in men. Objective. …”
Get full text

Epidemiology and surveillance of influenza, RSV and SARS-CoV-2 in children admitted with severe acute respiratory infection in West bengal, India from 2022 to 2023 by Tila Khan, Ranjan Saurav Das, Abhishek Jaiswal, Sayantan Halder, Rina Maity Majhi, Arabinda Mahato, Tarapada Ghosh, Parthasarathi Satpathi, Sangeeta Das Bhattacharya

“…Abstract Background Evaluating the burden of respiratory syncytial virus (RSV) and influenza among young children in LMICs is crucial to inform implementation policies, given the importance of maternal influenza and RSV vaccination, which may not yet be widely available. Methods This study established a one-year surveillance of severe acute respiratory infection (SARI) from June 2022–2023 in hospitalized children 1–24 months from rural West Bengal India. …”
Get full text

Veal and beef meat quality of crossbred calves from dairy herds using sexed semen and semen from double-muscled sires by Giovanni Bittante, Matteo Bergamaschi, Ni Qianlin, Nageshvar Patel, Hugo Toledo-Alvarado, Alessio Cecchinato

“…The major dairy and beef breeds are undergoing rapid genetic improvement as a result of more efficient selection methods, necessitating evaluation of the quality of meat produced by beef × dairy crosses obtained using current genetics. …”
Get full text

Preferences for Mobile App Features to Support People Living With Chronic Heart Diseases: Discrete Choice Study by Sumudu Avanthi Hewage, Sameera Senanayake, David Brain, Michelle J Allen, Steven M McPhail, William Parsonage, Tomos Walters, Sanjeewa Kularatna

“…ObjectivesThis study quantifies the preferences of individuals with chronic heart disease (CHD) for features of a mobile health app to self-navigate their disease condition. MethodsWe conducted an unlabeled web-based choice survey among adults older than 18 years with CHD living in Australia, recruited via a web-based survey platform. …”
Get full text

Assessment of Filifactor alocis and Porphyromonas gingivalis Levels in Subgingival Plaque of Patients with Type 2 Diabetes Mellitus with and without Periodontitis: A Case-Control S... by Rajalakshmi Ashok Kumar, Ram Sabarish, Reshma Achu Joseph, Balaji Subbusamy Kanakasabapathy, Mohanapriya Chinambedu Dandapani

“…Materials and Methods: This case-control study was conducted at the Departments of Periodontics and General Medicine, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India from September to December 2022. …”
Get full text

Oral health and use of dental services in early adulthood and changes from adolescence - Fit Futures, a longitudinal cohort study by Elin Hadler-Olsen, Therese Bondø, Liv Marit Bergli, Andreas Schmalfuss, Hege Nermo

“…The proportion having four or more decayed teeth was 5.3% at age 16–17 and 14.4% at age 26–27 (p < 0.001). …”
Get full text

Non-adherence to antenatal iron supplementation and its determinants among pregnant women in 35 sub-saharan African countries: a generalized linear mixed-effects modeling with robu... by Kusse Urmale Mare, Setognal Birara Aychiluhm, Getahun Fentaw Mulaw, Kebede Gemeda Sabo, Oumer Abdulkadir Ebrahim, Tsion Mulat Tebeje, Beminate Lemma Seifu

“…Therefore, the current study used large population survey data from 35 SSA countries to estimate the pooled prevalence of non-adherence and its determinants. Methods A secondary analysis was conducted using data from the demographic and health surveys across 35 SSA countries. …”
Get full text

Efficacy and safety of Tanshinone capsule in Acne vulgaris: a systematic review and meta-analysis by Yutong Deng, Ruli Feng, Bo Hu, Xuewen Ren, Fengchuan Zhang, Huishang Feng, Huishang Feng, Xuewan Wang, Yatong Li, Tangyunni Liu, Lingling Cai, Yuanwen Li

“…However, due to the limitations of this study, more multi-center and large-sample studies are needed to confirm these conclusions.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?…”
Get full text

Deep Learning Shield Attitude Prediction Model Based on Grey Correlation Analysis by Ke MAN, Zongxu LIU, Yan SHANG, Zhifei SONG, Xiaoli LIU, Bao SU

“…Objective A stacking ensemble prediction model based on long short-term memory (LSTM) and support vector regression (SVR) is proposed to address the issue of shield attitude deviation from the tunnel design axis.Methods The grey correlation analysis was employed to remove the rolling angle parameters with low grey correlation and then denoise them using discrete wavelet transform (DWT). …”
Get full text

Clinical manifestations of COVID-19 infection and its impact on the outcome in children and adolescents with benign and malignant hematological disease in Egypt: a single-center ex... by Fatma Soliman Elsayed Ebeid, Aya Mostafa, Sondos M. Magdy, Haidy Moahmed Abd El Kader, Amal Abdel Azim Lotfy, Nihal Hussien Aly

“…Methods We collected data from medical records of a retrospective cohort including all children and adolescent patients who were known to have a benign or malignant hematological disease attending the hematology and oncology outpatient clinic or were hospitalized between February 2022 and March 2023 in a university hospital in Cairo, Egypt, for tertiary care. …”
Get full text

Ever Use of Telehealth in Nebraska by March 2021: Cross-Sectional Analysis by Lisa C Smith, George Johnson, Snehal Jadhav, Josiane Kabayundo, Muskan Ahuja, Hongmei Wang, Kendra L Ratnapradipa

“…ObjectiveThis study aims to identify factors associated with ever use of telehealth in Nebraska, a primarily rural state with a significant portion of its population living in nonmetropolitan areas. MethodsA stratified random sample of Nebraska households (n=5300), with oversampling of census tracts with at least 30% African American, Hispanic, or Native American populations, received a mailed survey (English and Spanish) with web-based response options about social determinants of health and health care access (October 2020-March 2021). …”
Get full text

Machine learning to improve HIV screening using routine data in Kenya by Jonathan D. Friedman, Jonathan M. Mwangi, Kennedy J. Muthoka, Benedette A. Otieno, Jacob O. Odhiambo, Frederick O. Miruka, Lilly M. Nyagah, Pascal M. Mwele, Edmon O. Obat, Gonza O. Omoro, Margaret M. Ndisha, Davies O. Kimanga

“…In this study, we applied machine learning to routine programme data from Kenya's EMR to predict the probability that an individual seeking care is undiagnosed HIV positive and should be prioritized for testing. Methods We combined de‐identified individual‐level EMR data from 167,509 individuals without a previous HIV diagnosis who were tested between June and November 2022. …”
Get full text

Crowdsourcing integrated into a digital mental health platform for anxiety and depression: A pilot randomized controlled trial by Benjamin Kaveladze, Jane Shkel, Stacey Le, Veronique Marcotte, Kevin Rushton, Theresa Nguyen, Stephen M. Schueller

“…Objective: To conduct a pilot trial of two versions of a digital mental health intervention for anxiety and depression: one with crowdsourced peer support and one without. Methods: We conducted a two-armed pilot randomized controlled trial examining two versions of the novel “Overcoming Thoughts” platform: crowdsourced (intervention) vs. non-crowdsourced (control). …”
Get full text