Displaying publications 1461 - 1480 of 55674 in total

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  1. Doewes RI, Elumalai G, Azmi SH
    J Popul Ther Clin Pharmacol, 2022;29(4):e116-e125.
    PMID: 36441049 DOI: 10.47750/jptcp.2022.989
    The force in the pencak silat jejag kick is called the moment of force or torque. The force moment is a measure of the force that can cause an object to rotate around the axis where the axis of rotation is located at the knee joint with the length of the calf as the length of the arm (the radius of the rotation axis). This research was conducted using laboratory biomechanical analysis. The research sample consisted of three male athletes of pencak silat. Previously, anthropometric measurements were carried out in the form of measuring calf length and calf muscle mass, then taking videos of athletes doing jejag kick movements in a static state with targets, which were then analyzed by kinovea. Research results showed that the technique of the jejag kick pencak silat produces a force called the moment of force or torque. Sample 1 produces a force moment of -12.00 Nm, sample 2 produces -5.53 Nm, and sample 3 produces -8.73 (negative sign means the direction of the pencak silat jejag kick is counterclockwise). The magnitude of the force moment is influenced by the angle of knee extension and the radius of the rotation axis. The amount of force moment affects the kick speed. In the speed of a movement, there is a tendency to keep moving, which is called the moment of inertia. The fasterthe movement, the greater the moment of inertia. The result is a force moment, influenced by the rotational kinetic energy that is owned and requires effort. Every effort is made to produce a force moment; it takes power to drive the effort. This means that the greater the angle of extension and the longer the calf, the greater the force moment, the faster the kick speed, and the greater the moment of inertia. This requires a large amount of rotational kinetic energy, effort, and power.
    Matched MeSH terms: Humans
  2. Shuzhen L, Wei W, Hongyan G, Ruiying W, Mulud ZA
    J Popul Ther Clin Pharmacol, 2022;29(4):e86-e96.
    PMID: 36441055 DOI: 10.47750/jptcp.2022.990
    Alzheimer's disease (AD) is a neurodegenerative condition that disrupts neuropsychological activity and hinders the development of mental capacity. Efficient AD therapy is a major challenge in biological studies. Alzheimer's condition cannot be cured with any particular medication. The purpose of this study is to investigate the impact of multidisciplinary collaborative nursing and cognitive stimulation therapy (MCN- CST) on daily activities, quality of life, and cognitive performance in AD patients. The inclusion/exclusion method is initially used to gather information about AD patients. Control and investigative teams were formed with its own set of functions. The control group gets a regular course of treatment, whereas, the investigation group receives MCN-CST. To ensure that our study is as practical and useful, we compare our findings to existing nursing approaches. The ANOVA and Chi-Square tests are used to assess the conditions of Alzheimer's patients. There was a scientifically significant improvement in the overall level of their medical condition after implementing MCN-CST. Nursing protocols developed MCN-CST is beneficial in improving patients' quality of life, cognitive function, and daily activities. It is encouraged to do intensive research using many samples drawn from a wider range of people.
    Matched MeSH terms: Humans
  3. Sasongko TH, Nagalla S
    Cochrane Database Syst Rev, 2021 Dec 21;12(12):CD009191.
    PMID: 34932828 DOI: 10.1002/14651858.CD009191.pub4
    BACKGROUND: Sickle cell disease is a group of disorders characterized by deformation of erythrocytes. Renal damage is a frequent complication in sickle cell disease as a result of long-standing anemia and disturbed circulation through the renal medullary capillaries. Due to the improvement in life expectancy of people with sickle cell disease, there has been a corresponding significant increase in the incidence of renal complications. Microalbuminuria and proteinuria are noted to be a strong predictor of subsequent renal failure. There is extensive experience and evidence with angiotensin-converting enzyme (ACE) inhibitors over many years in a variety of clinical situations for patients who do not have sickle cell disease, but their effect in people with this disease is unknown. It is common practice to administer ACE inhibitors for sickle nephropathy due to their renoprotective properties; however, little is known about their effectiveness and safety in this setting. This is an update of a Cochrane Review first published in 2013 and 2015.

    OBJECTIVES: To determine the effectiveness of ACE inhibitor administration in people with sickle cell disease for decreasing intraglomerular pressure, microalbuminuria and proteinuria and to to assess the safety of ACE inhibitors as pertains to their adverse effects.

    SEARCH METHODS: The authors searched the Cochrane Cystic Fibrosis and Genetic Disorders Group's Hameoglobinopathies Trials Register comprising references identified from comprehensive electronic database searches and handsearches of relevant journals and abstract books of conference proceedings. Date of the most recent search: 18 October 2021. We also searched clinical trial registries. Date of the most recent search: 22 August 2021.

    SELECTION CRITERIA: Randomized or quasi-randomized controlled trials of ACE inhibitors designed to reduce microalbuminuria and proteinuria in people with sickle cell disease compared to either placebo or standard treatment regimen.

    DATA COLLECTION AND ANALYSIS: Three authors independently applied the inclusion criteria in order to select studies for inclusion in the review. Two authors assessed the risk of bias of studies and extracted data and the third author verified these assessments.

    MAIN RESULTS: Seven studies were identified through the searches. Six studies were excluded. The included study randomized 22 participants (7 males and 15 females) having proteinuria or microalbuminuria with sickle cell disease and treated the participants for six months (median length of follow up of three months) with captopril or placebo. Overall, the certainty of the evidence provided in this review was very low, since most risk of bias domains were judged to have either an unclear or a high risk of bias. Because of this, we are uncertain whether captopril makes any difference, in total urinary albumin excretion (at six months) as compared to the placebo group, although it yielded a mean difference of -49.00 (95% confidence interval (CI) -124.10 to 26.10) or in the absolute change score, although it yielded a mean difference of -63.00 (95% CI -93.78 to -32.22). At six months albumin excretion in the captopril group was noted to decrease from baseline by a mean (standard deviation) of 45 (23) mg/day and the placebo group was noted to increase by 18 (45) mg/day. Serum creatinine and potassium levels were reported constant throughout the study (very low-certainty evidence). The potential for inducing hypotension should be highlighted; the study reported a decrease of 8 mmHg in systolic pressure and 5 mmHg in diastolic and mean blood pressure (very low-certainty evidence).

    AUTHORS' CONCLUSIONS: Overall, we judged the certainty of the evidence to be very low. The included study selectively reported its results, was not powered to detect a group difference, should it exist, and otherwise did not offer enough information to allow us to judge the bias inherent in the study. Indirectness (in relation to the limited age and type of population included) and imprecision (wide confidence intervals around the effect estimate) were observed. More long-term studies involving multiple centers and larger cohorts using a randomized-controlled design are warranted, especially among the pediatric age group. Detailed reporting of each outcome measure is necessary to allow a clear cut interpretation in a systematic review. One of the difficulties encountered in this review was the lack of detailed data reported in the included study. Overall, we judged the certainty of this evidence to be very low.

    Matched MeSH terms: Humans
  4. Singla M, Chalak L, Kumar K, Hayakawa M, Mehta S, Neoh SH, et al.
    Neonatology, 2022;119(6):712-718.
    PMID: 36202069 DOI: 10.1159/000526404
    INTRODUCTION: We aimed to determine global professional opinion and practice for the use of therapeutic hypothermia (TH) for treating infants with mild hypoxic-ischaemic encephalopathy (HIE).

    METHODS: A web-based survey (REDCap) was distributed via emails, social networking sites, and professional groups from October 2020 to February 2021 to neonatal clinicians in 35 countries.

    RESULTS: A total of 484 responses were obtained from 35 countries and categorized into low/middle-income (43%, LMIC) or high-income (57%, HIC) countries. Of the 484 respondents, 53% would provide TH in mild HIE on case-to-case basis and only 25% would never cool. Clinicians from LMIC were more likely to routinely offer TH in mild HIE (25% v HIC 16%, p < 0.05), have a unit protocol for providing TH (50% v HIC 26%, p < 0.05), use adjunctive tools, e.g., aEEG (49% v HIC 32%, p < 0.001), conduct an MRI post TH (48% v HIC 40%, p < 0.05) and less likely to use neurological examinations as a HIE severity grading tool (80% v HIC 95%, p < 0.001). The majority of respondents (91%) would support a randomized controlled trial that was sufficiently large to examine neurodevelopmental outcomes in mild HIE after TH.

    CONCLUSIONS: This is the first survey of global opinion for TH in mild HIE. The overwhelming majority of professionals would consider "cooling" an infant with mild HIE, but LMIC respondents were more likely to routinely cool infants with mild HIE and use adjunctive tools for diagnosis and follow-up. There is wide practice heterogeneity and a sufficiently large RCT designed to examine neurodevelopmental outcomes, is urgently needed and widely supported.

    Matched MeSH terms: Humans
  5. Fisseha S, Sen G, Ghebreyesus TA, Byanyima W, Diniz D, Fore HH, et al.
    Lancet, 2021 Aug 07;398(10299):471-474.
    PMID: 34280381 DOI: 10.1016/S0140-6736(21)01651-2
    Matched MeSH terms: Humans
  6. Su G, Ong HC, Ibrahim S, Fattah IMR, Mofijur M, Chong CT
    Environ Pollut, 2021 Jun 15;279:116934.
    PMID: 33744627 DOI: 10.1016/j.envpol.2021.116934
    The COVID-19 pandemic has exerted great shocks and challenges to the environment, society and economy. Simultaneously, an intractable issue appeared: a considerable number of hazardous medical wastes have been generated from the hospitals, clinics, and other health care facilities, constituting a serious threat to public health and environmental sustainability without proper management. Traditional disposal methods like incineration, landfill and autoclaving are unable to reduce environmental burden due to the issues such as toxic gas release, large land occupation, and unsustainability. While the application of clean and safe pyrolysis technology on the medical wastes treatment to produce high-grade bioproducts has the potential to alleviate the situation. Besides, medical wastes are excellent and ideal raw materials, which possess high hydrogen, carbon content and heating value. Consequently, pyrolysis of medical wastes can deal with wastes and generate valuable products like bio-oil and biochar. Consequently, this paper presents a critical and comprehensive review of the pyrolysis of medical wastes. It demonstrates the feasibility of pyrolysis, which mainly includes pyrolysis characteristics, product properties, related problems, the prospects and future challenges of pyrolysis of medical wastes.
    Matched MeSH terms: Humans
  7. Adolfo CS, Albougami ASB, Roque MY, Aruta JJBR, Almazan JU
    Nurs Forum, 2022 Nov;57(6):1452-1464.
    PMID: 35962773 DOI: 10.1111/nuf.12785
    BACKGROUND: Older adults are one of the most vulnerable populations requiring scientific, psychological, and clinical attention. Although several studies have explored psychoemotional needs in later life, one critical gap in the literature is a shortage of studies comprehensively reviewing negative emotional experiences and their antecedents associated with later life.

    AIM: This integrative review aims to identify negative emotional experiences during older adult years.

    METHODS: This review of articles from Medline, CINAHL, Science Direct, Web of Science, ProQuest, and Taylor and Francis synthesized negative emotional experiences during older adult years. Across these six electronic databases, we searched and identified 17 relevant articles from 2005 to 2020 containing quantitative, qualitative, and mixed-method studies.

    RESULTS: Based on the review, we identified five negative emotions (sadness, anxiety, frustration, anger, and loneliness). These negative emotions were rooted in marital problems, separation from families, medical problems, physical functioning and disability, and financial limitations. Additionally, we identified common antecedents of negative emotions.

    CONCLUSION: At the center of numerous interventions, older adults are reinvigorated to understand the antecedents of negative emotions. The complex array of emotions, specifically regrets and frustration in later life, is depicted by more negativity than positivity. Such array of emotions could help develop strategies to prevent the causes of regret and frustration that nurses see when working with older adults in a clinical practice setting.

    Matched MeSH terms: Humans
  8. Barrios C, de Lima Lopes G, Yusof MM, Rubagumya F, Rutkowski P, Sengar M
    Nat Rev Clin Oncol, 2023 Jan;20(1):7-15.
    PMID: 36380066 DOI: 10.1038/s41571-022-00700-7
    In the past decade, oncologists worldwide have seen unprecedented advances in drug development and approvals but have also become increasingly cognizant of the rising costs of and increasing inequities in access to these therapies. These trends have resulted in the current problematic situation in which dramatic disparities in outcomes exist among patients with cancer worldwide owing, in part, to the lack of access to drugs that provide clinically meaningful benefits. In this Viewpoint, we have asked six oncologists working in different countries to describe how they perceive this issue in their region and propose potential solutions.
    Matched MeSH terms: Humans
  9. Md Saleh NI, Ab Ghani H, Jilani Z
    Artif Intell Med, 2022 Oct;132:102394.
    PMID: 36207072 DOI: 10.1016/j.artmed.2022.102394
    Outbreaks of the COVID-19 pandemic caused by the SARS-CoV-2 infection that started in Wuhan, China, have quickly spread worldwide. The current situation has contributed to a dynamic rate of hospital admissions. Global efforts by Artificial Intelligence (AI) and Machine Learning (ML) communities to develop solutions to assist COVID-19-related research have escalated ever since. However, despite overwhelming efforts from the AI and ML community, many machine learning-based AI systems have been designed as black boxes. This paper proposes a model that utilizes Formal Concept Analysis (FCA) to explain a machine learning technique called Long-short Term Memory (LSTM) on a dataset of hospital admissions due to COVID-19 in the United Kingdom. This paper intends to increase the transparency of decision-making in the era of ML by using the proposed LSTM-FCA explainable model. Both LSTM and FCA are able to evaluate the data and explain the model to make the results more understandable and interpretable. The results and discussions are helpful and may lead to new research to optimize the use of ML in various real-world applications and to contain the disease.
    Matched MeSH terms: Humans
  10. Mariatulqabtiah AR, Buttigieg KR
    Lancet Infect Dis, 2022 Sep;22(9):1255-1256.
    PMID: 35760075 DOI: 10.1016/S1473-3099(22)00414-5
    Matched MeSH terms: Humans
  11. Hashimoto T, Ozaki A, Bhandari D, Sawano T, Murayama A, Shrestha S, et al.
    Travel Med Infect Dis, 2021;43:102145.
    PMID: 34298174 DOI: 10.1016/j.tmaid.2021.102145
    Matched MeSH terms: Humans
  12. Churkina Taran AS, Shakhov AS, Kotlobay AA, Alieva IB
    Int J Mol Sci, 2022 Dec 08;23(24).
    PMID: 36555175 DOI: 10.3390/ijms232415533
    Neurodegenerative diseases are currently incurable. Numerous experimental data accumulated over the past fifty years have brought us closer to understanding the molecular and cell mechanisms responsible for their development. However, these data are not enough for a complete understanding of the genesis of these diseases, nor to suggest treatment methods. It turns out that many cellular pathologies developing during neurodegeneration coincide from disease to disease. These observations give hope to finding a common intracellular target(s) and to offering a universal method of treatment. In this review, we attempt to analyze data on similar cellular disorders among neurodegenerative diseases in general, and polyglutamine neurodegenerative diseases in particular, focusing on the interaction of various proteins involved in the development of neurodegenerative diseases with various cellular organelles. The main purposes of this review are: (1) to outline the spectrum of common intracellular pathologies and to answer the question of whether it is possible to find potential universal target(s) for therapeutic intervention; (2) to identify specific intracellular pathologies and to speculate about a possible general approach for their treatment.
    Matched MeSH terms: Humans
  13. Hamyoon H, Yee Chan W, Mohammadi A, Yusuf Kuzan T, Mirza-Aghazadeh-Attari M, Leong WL, et al.
    Eur J Radiol, 2022 Dec;157:110591.
    PMID: 36356463 DOI: 10.1016/j.ejrad.2022.110591
    PURPOSE: To develop and validate a machine learning (ML) model for the classification of breast lesions on ultrasound images.

    METHOD: In the present study, three separate data cohorts containing 1288 breast lesions from three countries (Malaysia, Iran, and Turkey) were utilized for MLmodel development and external validation. The model was trained on ultrasound images of 725 breast lesions, and validation was done separately on the remaining data. An expert radiologist and a radiology resident classified the lesions based on the BI-RADS lexicon. Thirteen morphometric features were selected from a contour of the lesion and underwent a three-step feature selection process. Five features were chosen to be fed into the model separately and combined with the imaging signs mentioned in the BI-RADS reference guide. A support vector classifier was trained and optimized.

    RESULTS: The diagnostic profile of the model with various input data was compared to the expert radiologist and radiology resident. The agreement of each approach with histopathologic specimens was also determined. Based on BI-RADS and morphometric features, the model achieved an area under the receiver operating characteristic (ROC) curve (AUC) of 0.885, which is higher than the expert radiologist and radiology resident performances with AUC of 0.814 and 0.632, respectively in all cohorts. DeLong's test also showed that the AUC of the ML protocol was significantly different from that of the expert radiologist (ΔAUCs = 0.071, 95%CI: (0.056, 0.086), P = 0.005).

    CONCLUSIONS: These results support the possible role of morphometric features in enhancing the already well-excepted classification schemes.

    Matched MeSH terms: Humans
  14. Zeng G, Zhao Z, Mazzon G, Pearle M, Choong S, Skolarikos A, et al.
    Eur Urol Focus, 2022 Sep;8(5):1461-1468.
    PMID: 34836838 DOI: 10.1016/j.euf.2021.10.011
    BACKGROUND: Retrograde intrarenal surgery (RIRS) has become the preferred treatment modality for nephrolithiasis. However, because of ongoing uncertainties regarding the optimal perioperative management, operative technique, and postoperative follow-up, as well as a lack of standardization for outcome reporting, consensus is needed to achieve more uniform clinical practice worldwide.

    OBJECTIVE: To develop recommendations for RIRS on the basis of existing data and expert consensus.

    DESIGN, SETTING, AND PARTICIPANTS: A protocol-driven, three-phase study was conducted by the European Association of Urology Section of Urolithiasis (EULIS) and the International Alliance of Urolithiasis (IAU). The process included: (1) a nonsystematic review of the literature to define domains for discussion; (2) a two-round modified Delphi survey involving experts in this field; and (3) an additional group meeting and third-round survey involving 64 senior representative members to formulate the final conclusions.

    OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The results from each previous round were returned to the participants for re-evaluation of their decisions during the next round. The agreement threshold was set at 70%.

    RESULTS AND LIMITATIONS: The panel included 209 participants who developed 29 consensus statements on the following topics of interest: (1) perioperative infection management; (2) perioperative antithrombotic therapy; (3) fundamentals of the operative technique; and (4) standardized outcome reporting. Although this consensus can be considered as a useful reference for more clinically oriented daily practice, we also acknowledge that a higher level of evidence from further clinical trials is needed.

    CONCLUSIONS: The consensus statements aim to guide and standardize clinical practice and research on RIRS and to recommend standardized outcome reporting.

    PATIENT SUMMARY: An international consensus on the best practice for minimally invasive surgery for kidney stones was organized and developed by two international societies. It is anticipated that this consensus will provide further guidance to urologists and may help to improve clinical outcomes for patients.

    Matched MeSH terms: Humans
  15. Singh OP, Vallejo M, El-Badawy IM, Aysha A, Madhanagopal J, Mohd Faudzi AA
    Comput Biol Med, 2021 Sep;136:104650.
    PMID: 34329865 DOI: 10.1016/j.compbiomed.2021.104650
    Due to the continued evolution of the SARS-CoV-2 pandemic, researchers worldwide are working to mitigate, suppress its spread, and better understand it by deploying digital signal processing (DSP) and machine learning approaches. This study presents an alignment-free approach to classify the SARS-CoV-2 using complementary DNA, which is DNA synthesized from the single-stranded RNA virus. Herein, a total of 1582 samples, with different lengths of genome sequences from different regions, were collected from various data sources and divided into a SARS-CoV-2 and a non-SARS-CoV-2 group. We extracted eight biomarkers based on three-base periodicity, using DSP techniques, and ranked those based on a filter-based feature selection. The ranked biomarkers were fed into k-nearest neighbor, support vector machines, decision trees, and random forest classifiers for the classification of SARS-CoV-2 from other coronaviruses. The training dataset was used to test the performance of the classifiers based on accuracy and F-measure via 10-fold cross-validation. Kappa-scores were estimated to check the influence of unbalanced data. Further, 10 × 10 cross-validation paired t-test was utilized to test the best model with unseen data. Random forest was elected as the best model, differentiating the SARS-CoV-2 coronavirus from other coronaviruses and a control a group with an accuracy of 97.4 %, sensitivity of 96.2 %, and specificity of 98.2 %, when tested with unseen samples. Moreover, the proposed algorithm was computationally efficient, taking only 0.31 s to compute the genome biomarkers, outperforming previous studies.
    Matched MeSH terms: Humans
  16. Hossain A, Islam MT, Beng GK, Kashem SBA, Soliman MS, Misran N, et al.
    Sci Rep, 2022 Oct 01;12(1):16478.
    PMID: 36183039 DOI: 10.1038/s41598-022-20944-8
    In this paper, proposes a microwave brain imaging system to detect brain tumors using a metamaterial (MTM) loaded three-dimensional (3D) stacked wideband antenna array. The antenna is comprised of metamaterial-loaded with three substrate layers, including two air gaps. One 1 × 4 MTM array element is used in the top layer and middle layer, and one 3 × 2 MTM array element is used in the bottom layer. The MTM array elements in layers are utilized to enhance the performance concerning antenna's efficiency, bandwidth, realized gain, radiation directionality in free space and near the head model. The antenna is fabricated on cost-effective Rogers RT5880 and RO4350B substrate, and the optimized dimension of the antenna is 50 × 40 × 8.66 mm3. The measured results show that the antenna has a fractional bandwidth of 79.20% (1.37-3.16 GHz), 93% radiation efficiency, 98% high fidelity factor, 6.67 dBi gain, and adequate field penetration in the head tissue with a maximum of 0.0018 W/kg specific absorption rate. In addition, a 3D realistic tissue-mimicking head phantom is fabricated and measured to verify the performance of the antenna. Later, a nine-antenna array-based microwave brain imaging (MBI) system is implemented and investigated by using phantom model. After that, the scattering parameters are collected, analyzed, and then processed by the Iteratively Corrected delay-multiply-and-sum algorithm to detect and reconstruct the brain tumor images. The imaging results demonstrated that the implemented MBI system can successfully detect the target benign and malignant tumors with their locations inside the brain.
    Matched MeSH terms: Humans
  17. Kamarulariffin Kamarudin M, Tan Jen Ai C, Lisa Zaharan N, Yahya A
    Int J Med Inform, 2022 Dec;168:104865.
    PMID: 36334465 DOI: 10.1016/j.ijmedinf.2022.104865
    BACKGROUND: A standardised mortality ratio (SMR) is the hospital observed mortality divided by its predicted mortality and has been used as an indicator to monitor hospital performance.

    OBJECTIVES: This study developed a model that predicted 30-day mortality for acute myocardial infarction (AMI) and compared the SMR among 41 Malaysian public hospitals using statistical process control charts.

    METHODS & RESULTS: Data from referral centres and specialist hospitals with cardiology services were analysed. Both referral centres and specialist hospitals had comparable mortality, except for Hospitals A and B, which the study considered outliers. Two-thirds of the remaining hospitals had an SMR of above one (SMR 1.05-1.51), but the indices were still within the expected variations.

    CONCLUSION: The SMR coupled with a funnel plot and variable life adjusted display (VLAD) can identify hospitals with potentially higher than expected mortality rates.

    Matched MeSH terms: Humans
  18. Arends S, Drenthen J, Van den Bergh PYK, Hadden RDM, Shahrizaila N, Dimachkie MM, et al.
    J Peripher Nerv Syst, 2022 Sep;27(3):197-205.
    PMID: 35700346 DOI: 10.1111/jns.12504
    Electrodiagnostic (EDx) studies are helpful in diagnosing and subtyping of Guillain-Barré syndrome (GBS). Published criteria for differentiation into GBS subtypes focus on cutoff values, but other items receive less attention, although they may influence EDx subtyping: (a) extensiveness of EDx testing, (b) nerve-specific considerations, (c) distal compound muscle action potential (CMAP)-amplitude requirements, (d) criteria for conduction block and temporal dispersion. The aims of this study were to investigate how these aspects were approached by neuromuscular EDx experts in practice and how this was done in previously published EDx criteria for GBS. A completed questionnaire was returned by 24 (of 49) members of the electrophysiology expertise group from the International GBS Outcome Study. Six published EDx criteria for GBS subtyping were compared regarding these aspects. The indicated minimal number of motor nerves to study varied among respondents and tended to be more extensive in equivocal than normal studies. Respondents varied considerably regarding usage of compression sites for subtyping (median/wrist, ulnar/elbow, peroneal/fibular head): 29% used all variables from all sites, 13% excluded all sites, and 58% used only some sites and/or variables. Thirty-eight percent of respondents required a minimal distal CMAP amplitude to classify distal motor latency as demyelinating, and 58% did for motor conduction velocity. For proximal/distal CMAP-amplitude ratio and F-wave latency, a requisite minimal CMAP amplitude was more often required (79%). Also, the various published criteria sets showed differences on all items. Practical use of EDx criteria for subtyping GBS vary extensively across respondents, potentially lowering the reproducibility of GBS subtyping.
    Matched MeSH terms: Humans
  19. Martin P, Awan AA, Berenguer MC, Bruchfeld A, Fabrizi F, Goldberg DS, et al.
    Kidney Int, 2022 Dec;102(6):1228-1237.
    PMID: 36411019 DOI: 10.1016/j.kint.2022.07.012
    Infection with the hepatitis C virus (HCV) has adverse liver, kidney, and cardiovascular consequences in patients with chronic kidney disease (CKD), including those on dialysis therapy or with a kidney transplant. Since the publication of the Kidney Disease: Improving Global Outcomes (KDIGO) HCV Guideline in 2018, advances in HCV management, particularly in the field of antiviral therapy and treatment of HCV-associated glomerular diseases, coupled with increased usage of HCV-positive kidney grafts, have prompted a reexamination of the 2018 guideline. As a result, the Work Group performed a comprehensive review and revised the 2018 guidance. This Executive Summary highlights key aspects of the updated guideline recommendations for 3 chapters: Chapter 2: Treatment of HCV infection in patients with CKD; Chapter 4: Management of HCV-infected patients before and after kidney transplantation; and Chapter 5: Diagnosis and management of kidney diseases associated with HCV infection.
    Matched MeSH terms: Humans
  20. Huqh MZU, Abdullah JY, Wong LS, Jamayet NB, Alam MK, Rashid QF, et al.
    Int J Environ Res Public Health, 2022 Aug 31;19(17).
    PMID: 36078576 DOI: 10.3390/ijerph191710860
    OBJECTIVE: The objective of this systematic review was (a) to explore the current clinical applications of AI/ML (Artificial intelligence and Machine learning) techniques in diagnosis and treatment prediction in children with CLP (Cleft lip and palate), (b) to create a qualitative summary of results of the studies retrieved.

    MATERIALS AND METHODS: An electronic search was carried out using databases such as PubMed, Scopus, and the Web of Science Core Collection. Two reviewers searched the databases separately and concurrently. The initial search was conducted on 6 July 2021. The publishing period was unrestricted; however, the search was limited to articles involving human participants and published in English. Combinations of Medical Subject Headings (MeSH) phrases and free text terms were used as search keywords in each database. The following data was taken from the methods and results sections of the selected papers: The amount of AI training datasets utilized to train the intelligent system, as well as their conditional properties; Unilateral CLP, Bilateral CLP, Unilateral Cleft lip and alveolus, Unilateral cleft lip, Hypernasality, Dental characteristics, and sagittal jaw relationship in children with CLP are among the problems studied.

    RESULTS: Based on the predefined search strings with accompanying database keywords, a total of 44 articles were found in Scopus, PubMed, and Web of Science search results. After reading the full articles, 12 papers were included for systematic analysis.

    CONCLUSIONS: Artificial intelligence provides an advanced technology that can be employed in AI-enabled computerized programming software for accurate landmark detection, rapid digital cephalometric analysis, clinical decision-making, and treatment prediction. In children with corrected unilateral cleft lip and palate, ML can help detect cephalometric predictors of future need for orthognathic surgery.

    Matched MeSH terms: Humans
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