Browse publications by year: 2024

  1. Iswanto AH, Lee SH, Hussin MH, Hamidon TS, Hajibeygi M, Manurung H, et al.
    Int J Biol Macromol, 2024 Dec;283(Pt 3):137714.
    PMID: 39571852 DOI: 10.1016/j.ijbiomac.2024.137714
    The rising environmental concerns and the growing demand for renewable materials have surged across various industries. In this context, lignin, being a plentiful natural aromatic compound that possesses advantageous functional groups suitable for utilization in biocomposite systems, has gained notable attention as a promising and sustainable alternative to fossil-derived materials. It can be obtained from lignocellulosic biomass through extraction via various techniques, which may cause variability in its thermal, mechanical, and physical properties. Due to its excellent biocompatibility, eco-friendliness, and low toxicity, lignin has been extensively researched for the development of high-value materials including lignin-based biocomposites. Its aromatic properties also allow it to successfully substitute phenol in the production of phenolic resin adhesives, resulting in decreased formaldehyde emission. This review investigated and evaluated the role of lignin as a green filler in lignin-based lignocellulosic composites, aimed at enhancing their fire retardancy and decreasing formaldehyde emission. In addition, relevant composite properties, such as thermal properties, were investigated in this study. Markedly, technical challenges, including compatibility with other matrix polymers that are influenced by limited reactivity, remain. Some impurities in lignin and various sources of lignin also affect the performance of composites. While lignin utilization can address certain environmental issues, its large-scale use is limited by both process costs and market factors. Therefore, the exact mechanism by which lignin enhances flame retardancy, reduces formaldehyde emissions, and improves the long-term durability of lignocellulosic composites under various environmental conditions remains unclear and requires thorough investigation. Life cycle analysis and techno-economic analysis of lignin-based composites may contribute to understanding the overall influence of systems not only at the laboratory scale but also at a larger industrial scale.
    MeSH terms: Fires/prevention & control; Flame Retardants
  2. Ngadimon IW, Shaikh MF, Mohan D, Cheong WL, Khoo CS
    Drug Discov Today, 2024 Dec;29(12):104247.
    PMID: 39571887 DOI: 10.1016/j.drudis.2024.104247
    Epilepsy, a complex global neurological disorder, has spurred extensive research efforts focused on enhancing diagnostic and therapeutic strategies, with a growing emphasis on the identification of biomarkers. This bibliometric study examines 1,774 publications from 2000 to 2023, revealing a notable increase in research activity, particularly in the past decade. The US, China, and the UK lead contributions, with Asian countries exhibiting growing potential. Keyword co-occurrence analysis reveals a shift towards investigations of neuroinflammatory and genetic biomarkers, as well as emerging areas such as artificial intelligence and epigenetics. Content analysis links specific epilepsy aetiologies to biomarkers, offering promising possibilities for personalised diagnostics and treatments. These findings yield valuable insights into current trends, guiding future research and informing the development of targeted approaches for the diagnosis and treatment of epilepsy.
    MeSH terms: Animals; Artificial Intelligence; Humans; Bibliometrics*
  3. Tan TW, Tan HL, Chung YC
    Worldviews Evid Based Nurs, 2024 Dec;21(6):687-694.
    PMID: 39572015 DOI: 10.1111/wvn.12756
    BACKGROUND: Breast cancer patients undergoing chemotherapy experience body composition changes impacting treatment outcomes. The role of resistance training in mitigating chemotherapy-induced sarcopenia in breast cancer patients is not well defined.

    AIMS: This study aims to assess the efficacy of resistance training in preventing sarcopenia among breast cancer patients undergoing chemotherapy.

    METHODS: A systematic search was conducted across PubMed, EMBASE, Medline, the Cochrane Library, and CINAHL until May 5, 2023. Selected literature focused on the effects of resistance training on body fat, muscle mass, muscle strength, and physical performance in breast cancer patients undergoing chemotherapy. Cochrane Risk of Bias tool version 2.0 was employed for quality assessment, and data were analyzed using Comprehensive Meta-Analysis version 2.0.

    RESULTS: Eleven randomized controlled trials (RCTs) showed that resistance training had a significant positive impact on reducing body fat (SMD = -0.250, 95% CI [-0.450, -0.050]), increasing lean body mass (SMD = 0.374, 95% CI [0.178, 0.571]), and enhancing handgrip strength at both the affected site (SMD = 0.326, 95% CI [0.108, 0.543]) and the nonaffected site (SMD = 0.276, 95% CI [0.059, 0.492]). Additionally, significant improvements were observed in leg press strength (SMD = 0.598, 95% CI [0.401, 0.796]) and overall physical performance (SMD = 0.671, 95% CI [0.419, 0.923]).

    LINKING EVIDENCE TO ACTION: Resistance training is a recommended intervention for reducing body fat, increasing muscle mass, muscle strength, and enhancing physical performance in breast cancer patients undergoing chemotherapy. Ideal low-intensity resistance training programs span 8-24 weeks, with 20-to-90-min sessions 2-4 times weekly. Regimens generally entail 8-12 repetitions at 40%-90% of one-repetition maximum test, with free-weight resistance training targeting major muscle groups yielding substantial benefits. Further research should explore outcomes across different chemotherapy phases and investigate long-term resistance training effects for a comprehensive view.

    MeSH terms: Body Composition; Female; Humans; Muscle Strength/drug effects
  4. Shakila, Abbasi MA, Aziz-Ur-Rehman, Siddiqui SZ, Nazir M, Muhammad S, et al.
    Chem Biodivers, 2024 Nov 21.
    PMID: 39572384 DOI: 10.1002/cbdv.202401806
    Biological screening combined with the synthesis of heterocyclic compounds with numerous functions is the most effective approach available for pharmacological assessment of potential future medications. In the under taken research that is presented here, 4-(1H-indol-3-yl)butanoic acid was sequentially converted into 4-(1H-indol-3-yl)butanoate, 4-(1H-indol-3-yl)butanohydrazide, and 5-[3-(1H-indol-3-yl)propyl]-1,2,4-triazole-2-thiol as a nucleophile. By treating aryl amines with 3-bromopropanoyl chloride in a series of parallel reactions, different electrophiles were created, leading to the formation of N-(aryl)-3-bromopropanamides. After that, several electrophiles were used in the nucleophilic substitution process of 5 to produce the final bi-heterocyclic derivative. The structural confirmation of all the synthesized compounds was done by IR, 1H-NMR, 13C-NMR, and CHN analysis data. The enzyme inhibitory effects of these bi-heterocyclic propanamides were evaluated against elastase, and all these molecules were identified as potent inhibitors relative to the standard oleanolic acid with IC50 value 13.453 ± 0.015 µM used. The kinetics mechanism was ascribed by evaluating the Lineweaver-Burk plots, which revealed that compound 9d inhibited elastase competitively to form an enzyme-inhibitor complex. The inhibition constant Ki calculated from Dixon plots for this compound was 0.51 µM. Compound 9d's activity (IC50 = 0.142 ± 0.014 µM) significantly increased when a slightly bulky ethyl group was replaced for the solitary methyl group in 9c at the para-position. However, compound 9e's activity was significantly lower (IC50 = 38.338 ± 0.993 µM) when a more polar ethoxy group was replaced at the same para-position. This was likely because of electronic considerations. These molecules also exhibited mild cytotoxicity toward red blood cell membranes, when analyzing through hemolysis. So, these molecules might be deliberated as nontoxic medicinal scaffolds for dealing with the elastase-related ailments such as lung diseases, cyclic neutropenia, pruritic skin disease, and liver infection.
  5. Hasani WSR, Musa KI, Chen XW, Cheng KY
    Sci Rep, 2024 Nov 21;14(1):28849.
    PMID: 39572630 DOI: 10.1038/s41598-024-80091-0
    Cardiovascular disease (CVD) is a major global cause of premature mortality. While multiple studies propose CVD mortality prediction models based on regression frameworks, incorporating causal understanding through causal inference approaches can enhance accuracy. This paper demonstrates a methodology combining evidence synthesis and expert knowledge to construct a causal model for premature CVD mortality using Directed Acyclic Graphs (DAGs). The process involves three phases: (1) initial DAG development based on the Evidence Synthesis for Constructing Directed Acyclic Graphs (ESC-DAGs) framework, (2) validation and consensus-building with 12 experts using the Fuzzy Delphi method (FDM), and (3) application to data analysis using population-based survey data linked with death records. Expert input refined the initial DAG model, achieving consensus on 45 causal paths. The revised model guided selection of confounding variables for adjustment. For example, to estimate the total effect of diabetes on premature CVD mortality, the suggested adjustment set included age, dietary pattern, genetic/family history, sex hormones, and physical activity. Testing different DAG models showed agreement between expert ratings and data accuracy from regression models. This systematic approach contributes to DAG methodology, offering a transparent process for constructing causal pathways for premature CVD mortality.
    MeSH terms: Female; Humans; Male; Middle Aged; Causality; Mortality, Premature*
  6. Yang H, Li J, Hao M, Zhang W, He H, Sangaiah AK
    Sci Rep, 2024 Nov 21;14(1):28877.
    PMID: 39572631 DOI: 10.1038/s41598-024-80048-3
    In order to address the problem of data heterogeneity, in recent years, personalized federated learning has tailored models to individual user data to enhance model performance on clients with diverse data distributions. However, the existing personalized federated learning methods do not adequately address the problem of data heterogeneity, and lack the processing of system heterogeneity. Consequently, these issues lead to diminished training efficiency and suboptimal model performance of personalized federated learning in heterogeneous environments. In response to these challenges, we propose FedPRL, a novel approach to personalized federated learning designed specifically for heterogeneous environments. Our method tackles data heterogeneity by implementing a personalized strategy centered on local data storage, enabling the accurate extraction of features tailored to the data distribution of individual clients. This personalized approach enhances the performance of federated learning models when dealing with non-IID data. To overcome system heterogeneity, we design a client selection mechanism grounded in reinforcement learning and user quality evaluation. This mechanism optimizes the selection of clients based on data quality and training time, thereby boosting the efficiency of the training process and elevating the overall performance of personalized models. Moreover, we devise a local training method that utilizes global knowledge distillation of non-target classes, which combined with traditional federated learning can effectively address the issue of catastrophic forgetting during global model updates. This approach enhances the generalization capability of the global model and further improves the performance of personalized models. Extensive experiments on both standard and real-world datasets demonstrate that FedPRL effectively resolves the challenges of data and system heterogeneity, enhancing the efficiency and model performance of personalized federated learning methods in heterogeneous environments, and outperforming state-of-the-art methods in terms of model accuracy and training efficiency.
  7. Dai L, Md Johar MG, Alkawaz MH
    Sci Rep, 2024 Nov 21;14(1):28885.
    PMID: 39572780 DOI: 10.1038/s41598-024-80441-y
    This work is to investigate the diagnostic value of a deep learning-based magnetic resonance imaging (MRI) image segmentation (IS) technique for shoulder joint injuries (SJIs) in swimmers. A novel multi-scale feature fusion network (MSFFN) is developed by optimizing and integrating the AlexNet and U-Net algorithms for the segmentation of MRI images of the shoulder joint. The model is evaluated using metrics such as the Dice similarity coefficient (DSC), positive predictive value (PPV), and sensitivity (SE). A cohort of 52 swimmers with SJIs from Guangzhou Hospital serve as the subjects for this study, wherein the accuracy of the developed shoulder joint MRI IS model in diagnosing swimmers' SJIs is analyzed. The results reveal that the DSC for segmenting joint bones in MRI images based on the MSFFN algorithm is 92.65%, with PPV of 95.83% and SE of 96.30%. Similarly, the DSC for segmenting humerus bones in MRI images is 92.93%, with PPV of 95.56% and SE of 92.78%. The MRI IS algorithm exhibits an accuracy of 86.54% in diagnosing types of SJIs in swimmers, surpassing the conventional diagnostic accuracy of 71.15%. The consistency between the diagnostic results of complete tear, superior surface tear, inferior surface tear, and intratendinous tear of SJIs in swimmers and arthroscopic diagnostic results yield a Kappa value of 0.785 and an accuracy of 87.89%. These findings underscore the significant diagnostic value and potential of the MRI IS technique based on the MSFFN algorithm in diagnosing SJIs in swimmers.
    MeSH terms: Adolescent; Adult; Algorithms; Female; Humans; Image Processing, Computer-Assisted/methods; Male; Young Adult
  8. Zheng SL, Henry A, Cannie D, Lee M, Miller D, McGurk KA, et al.
    Nat Genet, 2024 Dec;56(12):2646-2658.
    PMID: 39572783 DOI: 10.1038/s41588-024-01952-y
    Dilated cardiomyopathy (DCM) is a leading cause of heart failure and cardiac transplantation. We report a genome-wide association study and multi-trait analysis of DCM (14,256 cases) and three left ventricular traits (36,203 UK Biobank participants). We identified 80 genomic risk loci and prioritized 62 putative effector genes, including several with rare variant DCM associations (MAP3K7, NEDD4L and SSPN). Using single-nucleus transcriptomics, we identify cellular states, biological pathways, and intracellular communications that drive pathogenesis. We demonstrate that polygenic scores predict DCM in the general population and modify penetrance in carriers of rare DCM variants. Our findings may inform the design of genetic testing strategies that incorporate polygenic background. They also provide insights into the molecular etiology of DCM that may facilitate the development of targeted therapeutics.
    MeSH terms: Female; Humans; Male; Genetic Predisposition to Disease*; Multifactorial Inheritance/genetics; Polymorphism, Single Nucleotide; Quantitative Trait Loci; Genome-Wide Association Study*
  9. Ong JEX
    Br Dent J, 2024 Nov;237(10):773-777.
    PMID: 39572811 DOI: 10.1038/s41415-024-7842-5
    This clinical report demonstrates how a two-implant mandibular implant-supported overdenture is planned and executed. The following steps feature the dual scan technique as part of implant planning and a radiographic-turned-surgical stent to guide a freehand, two-stage surgical placement of two implant fixtures on the bilateral canine positions of the mandibular arch.
    MeSH terms: Denture, Overlay*; Humans; Jaw, Edentulous/rehabilitation; Jaw, Edentulous/surgery; Mandible/surgery; Dental Prosthesis, Implant-Supported*; Evidence-Based Dentistry
  10. Changkakoti L, Rajabalaya R, David SR, Balaraman AK, Sivasubramanian H, Mukherjee AK, et al.
    Curr Neuropharmacol, 2024 Nov 21.
    PMID: 39572918 DOI: 10.2174/011570159X327677240902105443
    Neurodegenerative diseases (NDDs) are a multifaceted and heterogeneous group of complex diseases. Unfortunately, a cure for these conditions has yet to be found, but there are ways to reduce the risk of developing them. Studies have shown that specific vitamins regulate the brain molecules and signaling pathways, which may help prevent degeneration. This review focuses on examining the role of vitamins in preventing five significant types of neurodegenerative diseases, including Parkinson's disease (PD), Alzheimer's disease (AD), Huntington's disease (HD), Multiple Sclerosis (MS), and Amyotrophic Lateral Sclerosis (ALS). This review also highlights promising and controversial findings about the potential impact of vitamins on this group of diseases. Several developed countries standardize daily dietary vitamin intake to meet nutrient requirements, improve health, and prevent chronic diseases like NDDs. However, more research is necessary to gain a more comprehensive understanding of their therapeutic benefits, including studies exploring different drug-dose paradigms, diverse humanized animal models, and clinical trials conducted in various locations.
  11. Qian Z, Wang C, Zhou N, Zhang C, Goh BT, Dai Z, et al.
    ACS Appl Mater Interfaces, 2024 Dec 04;16(48):66350-66357.
    PMID: 39573967 DOI: 10.1021/acsami.4c14459
    Covalent triazine frameworks (CTFs) have attracted tremendous attention with respect to their rich nitrogen content, functional triazine units, and high porosity. However, efficient and simple preparation of CTF monoliths is still a challenge. Here, we propose a novel and facile approach for the in situ preparation of CTF aerogels. Trifluoromethanesulfonic acid was used as the solvent and catalyst, which could not only promote the polymerization reaction to form a gel but also protonate the CTFs. By virtue of the simplicity and efficiency of the strategy, a series of macroscopic CTF aerogels with tunable density were obtained by adjusting the monomer concentration. Due to the porous and partially crystalline structure, the as-produced macroscopic CTF aerogels behaved with good mechanical and thermal insulation performances. This finding thus offers an effective and easily scalable approach toward fabricating macroscopic CTF aerogels and broadens the applications of CTFs in a variety of domains.
  12. Syed Mohd Hamdan SN, Rahmat RA, Abdul Razak F, Abd Kadir KA, Mohd Faizal Abdullah ER, Ibrahim N
    Folia Morphol (Warsz), 2024 Nov 22.
    PMID: 39573971 DOI: 10.5603/fm.100846
    BACKGROUND: This study aimed to determine the differences in cranial measurements in three sub-adult populations in Malaysia using multi-slice computed tomography (MSCT) data.

    MATERIALS AND METHODS: A total of 521 cranial MSCT datasets of Malaysian sub-adults (0-20 years old) consisting of Malay, Chinese, and Indian populations were analysed and constructed into three-dimensional (3D) cranial models using Mimics software version 21. Fourteen selected craniometric parameters were measured on the 3D models, adhering to the plane-to-plane protocol. All measurements were statistically analysed using discriminant function analysis.

    RESULTS: Cranial measurements such as maximum cranial width, biasteronic width, and occipital chord showed significant differences among Malays, Chinese, and Indians. In addition, a high similarity of the measurements between Chinese and Malays compared to Indians and Malays and Chinese and Indians was demonstrated. The highest classification accuracy was obtained by the age group of 10-12 years old, with Indians achieving the highest accuracy (72.2%), followed by Chinese (71.8%) and Malays (58.3%). The accuracy percentages between the pooled-sex and male/female formulas were relatively similar.

    CONCLUSIONS: This study demonstrated the presence of morphometric variations among the three different sub-adult populations in Malaysia using MSCT datasets.

  13. Hussan F, Er HM, Nadarajah VD
    BMC Med Educ, 2024 Nov 22;24(1):1347.
    PMID: 39574101 DOI: 10.1186/s12909-024-06284-3
    BACKGROUND: Learning analytics (LA) is a tool for gathering, analysing, and interpreting data related to student's learning behaviour, engagement, and performance. As the student data collected by the institutions are used to construct LA, it is essential to understand the acceptance and readiness of the students regarding the implementation of LA.

    METHODS: A sequential mixed method research design was used in this study. A validated questionnaire was distributed to undergraduate students of Medicine, Dentistry and Pharmacy programmes to collect their general views on LA. Focus group interviews with a total of 18 students were conducted to explore their perceptions in depth, followed by thematic analysis of the transcribed data.

    RESULTS: Generally, the students were aware of their demographic data, utilisation of learning management system and academic performance data being collected by the university. They were agreeable for collection of those data which had direct association with their learning to be used for LA. However, they expressed concerns about the privacy, confidentiality, and security of the collected data. Three themes emerged from the interviews, i.e., self-regulated learning, evidence-based decision making and data management. The students perceived that LA could help them to monitor achievement of learning outcomes and provide support for individualised learning paths through recommendations of learning resources and learning motivation. They also opined that LA could help educators and institutions by providing feedback on teaching and learning methods, resource allocation and interventions to create conducive learning environment.

    CONCLUSIONS: LA is a useful tool to support self-regulated learning, however, precautions should be exercised during implementation to ensure data privacy and security.

    MeSH terms: Adult; Female; Health Occupations/education; Humans; Learning; Male; Surveys and Questionnaires; Students, Health Occupations/psychology; Students, Medical/psychology; Focus Groups*; Young Adult
  14. Chen LY, Kang YN, Hoang KD, Chen KH, Chen C
    PMID: 39574359 DOI: 10.1089/fpsam.2024.0187
    Background: Melasma is a chronic skin pigmentation disorder, and intradermal injection of tranexamic acid (TXA) is an effective treatment option for melasma with limited comparative efficacy studies. Objectives: To compare the effectiveness of TXA injections with other treatment modalities for patients with melasma, as measured by Melasma Area and Severity Index (MASI). Methods: A total of 17 eligible randomized controlled trials were included in the meta-analysis. The MASI and the modified MASI served as the primary outcome measures of treatment effectiveness. Patient satisfaction was also evaluated. Results: Among the various administration routes for TXA, intradermal injection and microneedling demonstrated superior effectiveness, followed by oral administration and topical application. As for patient satisfaction, oral administration outperformed the injection method, whereas topical administration significantly underperformed injection. Furthermore, TXA injections were more effective than the majority of non-TXA standard treatments for melasma. Conclusions: This meta-analysis and systematic review suggested that intradermal TXA injection is an effective alternative for melasma treatment, with potential advantages over other administration routes.
  15. Hassoun-Kheir N, Guedes M, Arieti F, Pezzani MD, Gladstone BP, Robotham JV, et al.
    Euro Surveill, 2024 Nov;29(47).
    PMID: 39574390 DOI: 10.2807/1560-7917.ES.2024.29.47.2400212
    To reduce antimicrobial resistance (AMR), pathogen-specific AMR burden data are crucial to guide target selection for research and development of vaccines and monoclonal antibodies (mAbs). We identified knowledge gaps through previously conducted systematic reviews, which informed a Delphi expert consultation on future AMR research priorities and harmonisation strategies to support data-driven decision-making. Consensus (≥80% agreement) on importance and feasibility of research topics was achieved in two rounds, involving 24 of 39 and 19 of 24 invited experts, respectively. Priority pathogens and resistance profiles for future research were identified: third generation cephalosporin-resistant Klebsiella pneumoniae and Escherichia coli, for bloodstream and urinary tract infections, respectively, and meticillin-resistant Staphylococcus aureus for surgical-site infections. Prioritised high-risk populations included surgical, haemato-oncological and transplant patients. Mortality and resource use were prioritised as health-economic outcomes. The importance of age-stratified data and inclusion of a non-infected comparator group were highlighted. This agenda provides guidance for future research to fill knowledge gaps and support data-driven selection of target pathogens and populations for new preventive and treatment strategies, specifically vaccines and mAbs, to effectively address the AMR burden in Europe. These research priorities are also relevant to improve the evidence base for future AMR burden estimates.
    MeSH terms: Delphi Technique; Europe; Humans; Klebsiella pneumoniae/drug effects; Klebsiella pneumoniae/immunology; Research; Drug Resistance, Bacterial; Consensus
  16. Ali M, Shams MA, Bheel N, Almaliki AH, Mahmoud AS, Dodo YA, et al.
    RSC Adv, 2024 Nov 19;14(50):37252-37271.
    PMID: 39575378 DOI: 10.1039/d4ra05506c
    Reinforced concrete (RC) constructions are seriously threatened by chloride-induced corrosion (CIC) and carbonation, which can result in structural degradation, safety issues, and financial losses. Electrochemical methods and microstructural analysis tests are some of the laboratory techniques used to examine key elements of CIC, such as the impact of different variables and the efficacy of mitigation solutions. In situ studies that make use of non-destructive testing, chloride profiling, and half-cell potential measurements offer important new insights into the long-term performance and causes of RC structure deterioration in real-world circumstances. Non-destructive approaches for CIC detection are emerging these days and provide fruitful results. Studies have focused on the use of these approaches for CIC detection on small specimens in the lab as well as on full-scale experiments in the field. This review covers both in situ monitoring and laboratory studies to provide a thorough analysis of CIC.
  17. Zhang Y, Zhang L, Chai N, Wan Z, Sui H
    Front Pharmacol, 2024;15:1465387.
    PMID: 39575389 DOI: 10.3389/fphar.2024.1465387
    Classic Formulas (Jing fang) are considered the essence and authority of Traditional Chinese Medicine (TCM) due to their long history and proven efficacy. These formulas play a pivotal role in all kinds of different disease prevention and therapeutic strategies. Yiyi Fuzi Baijiang San (YYFZBJS), one of the Classic Formulas, was originally developed for the treatment of chronic intestinal abscess. With the accumulation of clinical experience and the exploration of modern pharmacological research in recent years, YYFZBJS has been extensively employed to address a broad spectrum of conditions such as colorectal cancer. Although numerous studies have explored the clinical efficacy and underlying mechanisms of YYFZBJS, no comprehensive review summarizing these findings exists to date. This study aims to systematically review and critically assess the current clinical and mechanistic research on YYFZBJS, with the objective of providing valuable insights and guidance for TCM research in the future.
  18. Ong YQ, Lee J, Chu SY, Chai SC, Gan KB, Ibrahim NM, et al.
    Int J Lang Commun Disord, 2024;59(5):1701-1714.
    PMID: 38451114 DOI: 10.1111/1460-6984.13025
    BACKGROUND: Parkinson's disease (PD) has an impact on speech production, manifesting in various ways including alterations in voice quality, challenges in articulating sounds and a decrease in speech rate. Numerous investigations have been conducted to ascertain the oral-diadochokinesis (O-DDK) rate in individuals with PD. However, the existing literature lacks exploration of such O-DDK rates in Malaysia and does not provide consistent evidence regarding the advantage of real-word repetition.

    AIMS: To explore the effect of gender, stimuli type and PD status and their interactions on the O-DDK rates among Malaysian-Malay speakers.

    METHODS & PROCEDURES: O-DDK performance of 62 participants (29 individuals with PD and 33 healthy elderly) using a non-word ('pataka'), a Malay real-word ('patahkan') and an English real-word ('buttercake') was audio recorded. The number of syllables produced in 8 s was counted. A hierarchical linear modelling was performed to investigate the effects of stimuli type (non-word, Malay real-word, English real-word), PD status (yes, no), gender (male, female) and their interactions on the O-DDK rate. The model accounted for participants' age as well as the nesting of repeated measurements within participants, thereby providing unbiased estimates of the effects.

    OUTCOMES & RESULTS: The stimuli effect was significant (p < 0.0001). Malay real-word showed the lowest O-DDK rate (5.03 ± 0.11 syllables/s), followed by English real-word (5.25 ± 0.11 syllables/s) and non-word (5.42 ± 0.11 syllables/s). Individuals with PD showed a significantly lower O-DDK rate compared to healthy elderly (4.73 ± 0.15 syllables/s vs. 5.74 ± 0.14 syllables/s, adjusted p < 0.001). A subsequent analysis indicated that the O-DDK rate declined in a quadratic pattern. However, neither gender nor age effects were observed. Additionally, no significant two-way interactions were found between stimuli type, PD status and gender (all p > 0.05). Therefore, the choice of stimuli type has no or only limited effect considering the use of O-DDK tests in clinical practice for diagnostic purposes.

    CONCLUSIONS & IMPLICATIONS: The observed slowness in O-DDK among individuals with PD can be attributed to the impact of the movement disorder, specifically bradykinesia, on the physiological aspects of speech production. Speech-language pathologists can gain insights into the impact of PD on speech production and tailor appropriate intervention strategies to address the specific needs of individuals with PD according to disease stages.

    WHAT THIS PAPER ADDS: What is already known on this subject The observed slowness in O-DDK rates among individuals with PD may stem from the movement disorder's effects on the physiological aspects of speech production, particularly bradykinesia. However, there is a lack of consistent evidence regarding the influence of real-word repetition and how O-DDK rates vary across different PD stages. What this study adds to existing knowledge The O-DDK rates decline in a quadratic pattern as the PD progresses. The research provides insights into the advantage of real-word repetition in assessing O-DDK rates, with Malay real-word showing the lowest O-DDK rate, followed by English real-word and non-word. What are the potential or actual clinical implications of this work? Speech-language pathologists can better understand the evolving nature of speech motor impairments as PD progresses. This insight enables them to design targeted intervention strategies that are sensitive to the specific needs and challenges associated with each PD stage. This finding can guide clinicians in selecting appropriate assessment tools for evaluating speech motor function in PD patients.

    MeSH terms: Aged; Aged, 80 and over; Dysarthria/etiology; Female; Humans; Malaysia; Male; Middle Aged; Sex Factors; Speech Production Measurement; Voice Quality
  19. Heilingoetter AL, See GB, Brookes J, Campisi P, Cervantes SS, Chadha NK, et al.
    Int J Pediatr Otorhinolaryngol, 2024 Nov;186:112095.
    PMID: 39278130 DOI: 10.1016/j.ijporl.2024.112095
    OBJECTIVE: First branchial cleft anomalies are rare congenital head and neck lesions. Literature pertaining to classification, work up and surgical treatment of these lesions is limited and, in some instances, contradictory. The goal of this work is to provide refinement of the classification system of these lesions and to provide guidance for clinicians to aid in the comprehensive management of children with first branchial cleft anomalies.

    MATERIALS AND METHODS: Delphi method survey of expert opinion under the direction of the International Pediatric Otolaryngology Group (IPOG) was conducted to generate recommendations for the definition and management of first branchial cleft anomalies. The recommendations are the result of expert consensus and critical review of the literature.

    RESULTS: Consensus recommendations include evaluation and diagnostic considerations for children with first branchial cleft anomalies as well as recommendations for surgical management. The current Work classification system was reviewed, and modifications were made to it to provide a more cogent categorization of these lesions.

    CONCLUSION: The mission of the International Pediatric Otolaryngology Group (IPOG) is to develop expertise-based recommendations based on review of the literature for the management of pediatric otolaryngologic disorders. These consensus recommendations are aimed at improving care of children presenting with first branchial cleft anomalies. Here we present a revised classification system based on parotid gland involvement, with a focus on avoiding stratification based on germ layer, in addition to guidelines for management.

    MeSH terms: Child; Delphi Technique*; Humans; Otolaryngology; Craniofacial Abnormalities; Consensus
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