Article
Geriatrics & Gerontology
Shekhar Chauhan, Shubham Kumar, Rupam Bharti, Ratna Patel
Summary: This study examines the prevalence of Activity of Daily Living (ADL) and Instrumental Activity of Daily Living (IADL) among elderly individuals in India and identifies determinants of ADL and IADL disability. The findings suggest that lack of physical activity is associated with severe levels of disability. The study highlights the importance of establishing geriatric care centers and implementing community interventions to promote physical activity among the elderly.
Article
Multidisciplinary Sciences
Ling-Ying Wang, Mei Feng, Xiu-Ying Hu, Meng-Lin Tang
Summary: This study investigates the activity of daily living (ADL) situation among older adults in China and explores the relationship between health behavior and ADL. The findings demonstrate that age, residence, chronic disease, exercise, and physical examination are significantly associated with ADL among older adults in Southwest China. The study highlights the importance of exercise as a protective factor for older adults, and emphasizes the need for government and public health institutions to prioritize the health needs of older adults.
SCIENTIFIC REPORTS
(2023)
Article
Geriatrics & Gerontology
Yangchang Zhang, Yang Xiong, Qiuhua Yu, Shisi Shen, Li Chen, Xun Lei
Summary: The study classified elderly individuals in China into three distinct classes based on their combined BADL/IADL, finding associations between age, living status, health conditions, and different ADL classes. Additionally, there was a U-shaped association between age and BMI with BADL/IADL disability.
Article
Nutrition & Dietetics
Liyuan Tao, Jiaojiao Liao, Rui Zheng, Xiaoyu Zhang, Hongcai Shang
Summary: The aim of this study was to investigate the positive effects of drinking herbal tea and tea on activities of daily living (ADL) in the elderly. The study used data from the Chinese longitudinal healthy longevity survey (CLHLS) and divided the participants into three groups based on their frequency of consuming herbal tea and tea. The results showed that frequent consumption of herbal tea could effectively reduce the incidence of ADL disability, while the effect of tea drinking was relatively weaker.
Article
Chemistry, Multidisciplinary
Hui-Ting Lin, Fu-Kuei Chang, Hsin-Jen Tsai
Summary: This study aimed to examine the influence of changes in exercise status, nutritional status, and a number of comorbidities on functional ability in Taiwanese community-dwelling older adults. The results revealed that current exercise and consistent exercise were negatively associated with subsequent decline in activities of daily living (ADL) and instrumental activities of daily living (IADL). The Mini-Nutritional Assessment (MNA) score was negatively associated with subsequent decline in IADL, while the number of diseases was positively associated with subsequent decline in IADL. Consistency of exercise, MNA score, and the number of chronic diseases are good predictors of decline in IADL.
APPLIED SCIENCES-BASEL
(2022)
Article
Clinical Neurology
Francesca Burgio, Laura Danesin, Silvia Benavides-Varela, Francesca Meneghello, Brian Butterworth, Giorgio Arcara, Carlo Semenza
Summary: Specific impairments in numerical functions can have severe consequences in daily life. The Numerical Activities of Daily Living (NADL) is a battery designed to assess numerical abilities, and a shorter version (NADL-Short) was developed for quicker assessment with high accuracy. NADL-Short shows strong correlation with the original battery and can accurately identify impaired performance, making it suitable for diagnosing numerical impairments.
NEUROLOGICAL SCIENCES
(2022)
Article
Geriatrics & Gerontology
Hanna Falk Erhag, Hanna Wetterberg, Lena Johansson, Lina Ryden, Ingmar Skoog
Summary: A Swedish study compared the ADL/IADL disability rates of three 85-year-old birth cohorts born three decades apart, finding that later born cohorts had lower disability rates. Although factors associated with disability varied between cohorts, dementia and depression increased the odds of disability across all cohorts.
Article
Public, Environmental & Occupational Health
Kun Wang, Jinxu Zhao, Jie Hu, Dan Liang, Yansong Luo
Summary: This study used machine learning methods to identify the factors influencing unmet ADL needs of individuals aged 80 and above with disabilities in China. Results showed that household registration, disability class, economic rank, self-rated health, caregiver willingness, perceived control, economic satisfaction, pension, educational attainment, financial support given to children, living arrangement, number of children, and primary caregiver played significant roles in the unmet ADL needs of this population.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Multidisciplinary Sciences
Zhaoping Wang, Xiaolin Ni, Danni Gao, Sihang Fang, Xiuqing Huang, Mingjun Jiang, Qi Zhou, Liang Sun, Xiaoquan Zhu, Huabin Su, Rongqiao Li, Bin Huang, Yuan Lv, Guofang Pang, Caiyou Hu, Ze Yang, Huiping Yuan
Summary: Among the oldest-old individuals in China, sleep duration exceeding 12 hours may be associated with an increased risk of activities of daily living (ADL) disability, and the optimal sleep duration for this population could be 8-10 hours.
Article
Clinical Neurology
Roberta Toffano, Francesca Burgio, Katie Palmer, Silvia Benavides-Varela, Francesca Meneghello, Graziella Orru, Giuseppe Sartori, Giorgio Arcara, Carlo Semenza
Summary: The study aims to prepare a shorter version of NADL-F and examine the relationship between the new short version and a measure of general cognitive functioning of comparable length, the MMSE.
NEUROLOGICAL SCIENCES
(2021)
Article
Engineering, Electrical & Electronic
Naveen Kumar Karnam, Anish Chand Turlapaty, Shiv Ram Dubey, Balakrishna Gokaraju
Summary: This article presents the analysis of electromyography signals for evaluating the activities of daily living using a novel dataset called EMAHA-DB1. The dataset consists of multichannel sEMG signals acquired from 25 non-disabled subjects performing various activities. The classification accuracy achieved using state-of-the-art machine learning classifiers was found to be 83.21% for five FAABOS categories and 75.39% for the 22 class hand activities.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Geriatrics & Gerontology
Veerle Knoop, Axelle Costenoble, Aziz Debain, Bert Bravenboer, Bart Jansen, Aldo Scafoglieri, Ivan Bautmans
Summary: This study aimed to explore the predictive value of muscle endurance and fatigue on changes in activities of daily living (ADL) and gait speed in older adults aged 80 and older. The study found that low muscle endurance combined with high self-perceived fatigue can predict changes in ADL after a 1-year follow-up.
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES
(2023)
Article
Clinical Neurology
Shunzhuang Peng, Sijiu Wang, Xing Lin Feng
Summary: This study found that multimorbidity increased the likelihood of developing activities of daily living (ADL) disability in middle-aged and older women, partially through the mediation of depressive symptoms. The results emphasize the importance of focusing on mental wellness in females with multimorbidity to prevent impairments in physical function.
JOURNAL OF AFFECTIVE DISORDERS
(2021)
Article
Public, Environmental & Occupational Health
Jin-Hua Jie, Dan Li, Li-Na Jia, Yifeng Chen, Yan Yang, Bailing Zheng, Chuancheng Wu, Baoying Liu, Rongxian Xu, Jianjun Xiang, Hai-Lin Zhuang
Summary: This study found that older adults (>= 70 years) with T2DM have a high prevalence of functional limitations in daily living tasks, affecting quality of life and creating burdens on families, healthcare systems, and society. Identified factors associated with ADL limitations may inform targeted nursing practice and health promotion efforts.
FRONTIERS IN PUBLIC HEALTH
(2022)
Review
Chemistry, Analytical
Nestor J. Jarque-Bou, Joaquin L. Sancho-Bru, Margarita Vergara
Summary: The motion of the hand is crucial for daily activities, and measuring muscle activation signals is important in various scientific fields. EMG can be used for neuromuscular characterization, but complexity of the musculoskeletal system poses challenges.
Article
Medicine, General & Internal
Thomas Danninger, Richard Rezar, Behrooz Mamandipoor, Daniel Dankl, Andreas Kokoefer, Christian Jung, Bernhard Wernly, Venet Osmani
Summary: A study on septic ICU patients revealed that underweight patients had higher mortality rates, while obese patients showed lower mortality rates compared to normal weight individuals. There was no significant difference in ICU mortality between normal and overweight patients. The protective effect of obesity and negative effect of underweight were particularly significant in individuals over 65 years old.
WIENER KLINISCHE WOCHENSCHRIFT
(2022)
Article
Anesthesiology
Behrooz Mamandipoor, Wesley Yeung, Louis Agha-Mir-Salim, David J. Stone, Venet Osmani, Leo Anthony Celi
Summary: Elevated initial serum lactate levels are strong predictors of mortality in critically ill patients, and machine learning models can accurately predict subsequent serum lactate changes. These models show good discrimination of patients with deteriorating serum lactate levels, suggesting their potential as decision support tools in clinical practice.
JOURNAL OF CLINICAL MONITORING AND COMPUTING
(2022)
Article
Computer Science, Artificial Intelligence
Andre M. Carrington, Douglas G. Manuel, Paul W. Fieguth, Tim Ramsay, Venet Osmani, Bernhard Wernly, Carol Bennett, Steven Hawken, Olivia Magwood, Yusuf Sheikh, Matthew McInnes, Andreas Holzinger
Summary: This paper proposes a new method called deep ROC analysis to evaluate the performance of binary classifiers and diagnostic tests. It provides more detailed information compared to traditional performance measures. The method measures the performance in multiple groups and allows comparisons between groups. The paper also offers a new interpretation of AUC as balanced average accuracy, relevant to individuals.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Medicine, General & Internal
Daniel Dankl, Richard Rezar, Behrooz Mamandipoor, Zhichao Zhou, Sarah Wernly, Bernhard Wernly, Venet Osmani
Summary: This study validated the association between red cell distribution width (RDW) and mortality in septic patients. The results showed that high RDW was associated with higher hospital mortality and ICU mortality. The optimal RDW cutoff for predicting hospital mortality was determined to be 16%.
MEDICAL PRINCIPLES AND PRACTICE
(2022)
Article
Medical Informatics
Christian Jung, Behrooz Mamandipoor, Jesper Fjolner, Raphael Romano Bruno, Bernhard Wernly, Antonio Artigas, Bernardo Bollen Pinto, Joerg C. Schefold, Georg Wolff, Malte Kelm, Michael Beil, Sigal Sviri, Peter van Heerden, Wojciech Szczeklik, Miroslaw Czuczwar, Muhammed Elhadi, Michael Joannidis, Sandra Oeyen, Tilemachos Zafeiridis, Brian Marsh, Finn H. Andersen, Rui Moreno, Maurizio Cecconi, Susannah Leaver, Dylan W. De Lange, Bertrand Guidet, Hans Flaatten, Venet Osmani
Summary: This study evaluated machine learning-based prognostication models for critically ill elderly COVID-19 patients. The results showed that integrating important clinical events and time-to-event information into the models improved the accuracy of predicting 30-day mortality, compared to models based on admission variables only and conventional ICU prediction models.
JMIR MEDICAL INFORMATICS
(2022)
Article
Medicine, General & Internal
Richard Rezar, Behrooz Mamandipoor, Clemens Seelmaier, Christian Jung, Michael Lichtenauer, Uta C. C. Hoppe, Reinhard Kaufmann, Venet Osmani, Bernhard Wernly
Summary: Severe hyperlactatemia (>10mmol/L) or impaired lactate metabolism are associated with increased mortality. A study analyzed the maximum lactate concentration on day 1 of 10,724 septic patients and categorized them into three groups based on lactate levels. Findings showed that severe hyperlactatemia was linked to high mortality rates, especially if it persists beyond 24 hours. The results suggest that severe hyperlactatemia, along with clinical parameters, could be used to determine treatment limits.
WIENER KLINISCHE WOCHENSCHRIFT
(2023)
Article
Infectious Diseases
Andreas Kokoefer, Behrooz Mamandipoor, Maria Flamm, Richard Rezar, Sarah Wernly, Christian Datz, Christian Jung, Venet Osmani, Bernhard Wernly, Raphael Romano Bruno
Summary: This study examined the impact of ethnic background on the management and outcome of sepsis and septic shock. The findings showed that there were no significant differences in treatment and mortality rates among different ethnic groups.
BMC INFECTIOUS DISEASES
(2023)
Article
Multidisciplinary Sciences
Matthew Sadd, Shizhao Xiong, Jacob R. Bowen, Federica Marone, Aleksandar Matic
Summary: Tracking the plating and stripping behaviours of lithium metal in real time using operando synchrotron X-ray tomographic microscopy reveals the formation of inactive lithium microstructures. Efficient lithium metal stripping and plating operation is crucial for safe lithium metal batteries. However, monitoring the evolution of lithium metal microstructures during cell cycling is challenging.
NATURE COMMUNICATIONS
(2023)
Article
Nanoscience & Nanotechnology
Amit Kumar Sonker, Shizhao Xiong, Ruchi Aggarwal, Martina Olsson, Arnita Spule, Seyedehsan Hosseini, Sumit Kumar Sonkar, Aleksandar Matic, Gunnar Westman
Summary: This study presents an efficient method for exfoliating MoS2 in water and using it as an electrode material. The MoS2 is exfoliated through sonication with sulfated cellulose nanocrystals, resulting in a stable water suspension. The exfoliated MoS2 is then used in a zinc battery electrode, demonstrating a Coulombic efficiency of 90%. The success of exfoliation is confirmed by Raman and transmission electron microscopy.
ACS APPLIED NANO MATERIALS
(2023)
Article
Pharmacology & Pharmacy
Martina Olsson, Rydvikha Govender, Ana Diaz, Mirko Holler, Andreas Menzel, Susanna Abrahmsen-Alami, Matthew Sadd, Anette Larsson, Aleksandar Matic, Marianne Liebi
Summary: This paper presents a correlative, multiscale imaging methodology combining PXCT and S/WAXS to visualize and quantify the morphology of solid dosage forms. The method allows characterization of structures from the nanometre to millimetre regime. The methodology is demonstrated using a hot-melt extruded solid dispersion of carbamazepine in ethyl cellulose. The 3D morphology was visualized through PXCT, revealing an oriented structure of crystalline drug domains. Scanning S/WAXS showed similarity in the nanostructure across the cross section of the extruded filament.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2023)
Article
Gastroenterology & Hepatology
Behrooz Mamandipoor, Sarah Wernly, Georg Semmler, Maria Flamm, Christian Jung, Elmar Aigner, Christian Datz, Bernhard Wernly, Venet Osmani
Summary: The potential of machine learning methods in predicting liver steatosis and fibrosis was evaluated in this study. By using ultrasound and transient elastography, the researchers found that machine learning algorithms can accurately predict liver steatosis, but the accuracy in predicting liver fibrosis is moderate.
CLINICS AND RESEARCH IN HEPATOLOGY AND GASTROENTEROLOGY
(2023)
Article
Materials Science, Multidisciplinary
Julia Maibach, Josef Rizell, Aleksandar Matic, Nataliia Mozhzhukhina
Summary: Electrode/electrolyte interfaces are crucial and poorly understood in Li-ion and next-generation batteries. Advancing the understanding of these interfaces can lead to significant breakthroughs in battery development. In this perspective, we discuss operando surface sensitive techniques that have the potential to characterize solid/liquid interfaces in both model and realistic battery configurations, providing chemical and structural information. These techniques include vibrational spectroscopy, X-ray photoelectron spectroscopy (XPS), neutron and X-ray reflectometry, and grazing incidence scattering techniques.
ACS MATERIALS LETTERS
(2023)
Review
Electrochemistry
Quan Wu, Shizhao Xiong, Fujun Li, Aleksandar Matic
Summary: This review comprehensively summarizes the failure mechanisms of solid-state electrolytes, including electric failure, (electro)chemical failure, and mechanical failure. By analyzing these failure mechanisms in detail, the researchers provide new insights for the design of future SSLMBs.
BATTERIES & SUPERCAPS
(2023)
Article
Chemistry, Physical
Moumita Maiti, Anand Narayanan Krishnamoorthy, Youssef Mabrouk, Nataliia Mozhzhukhina, Aleksandar Matic, Diddo Diddens, Andreas Heuer
Summary: Liquid electrolyte design and modelling is crucial for the development of better lithium ion batteries. Comparing a polarizable force field with a non-polarizable force field, the polarizable force field shows better agreement with experimental results in terms of structural and dynamic properties. It also performs better in terms of transport quantities.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2023)
Article
Health Care Sciences & Services
Anirban Bhattacharyya, Seyedmostafa Sheikhalishahi, Heather Torbic, Wesley Yeung, Tiffany Wang, Jennifer Birst, Abhijit Duggal, Leo Anthony Celi, Venet Osmani
Summary: Delirium is a common and resource-intensive issue, and machine learning can be used to develop a delirium prediction model for screening purposes. The research utilized a large amount of clinical data to validate the model's performance and identified techniques that can enhance prediction accuracy.
