METHODS: Relevant articles from the Web of Science, Scopus, PubMed, Cochrane Library, and Ovid MEDLINE databases were screened using a Preferred Reporting Items for Systematic Reviews and Meta-Analyses-guided systematic search process. The included studies were in English, published from January 2020 to April 2024, had overall PCS prevalence as one of the outcomes studied, involved a human population with confirmed COVID-19 diagnosis and undergone assessment at 12 weeks post-COVID infection or beyond. As the primary outcome measured, the pooled prevalence of PCS was estimated from a meta-analysis of the PCS prevalence data extracted from individual studies, which was conducted via the random-effects model. This study has been registered on PROSPERO (CRD42023435280).
RESULTS: Forty eight studies met the eligibility criteria and were included in this review. 16 were accepted for meta-analysis to estimate the pooled prevalence for PCS worldwide, which was 41.79% (95% confidence interval [CI] 39.70-43.88%, I2 = 51%, p = 0.03). Based on different assessment or follow-up timepoints after acute COVID-19 infection, PCS prevalence estimated at ≥ 3rd, ≥ 6th, and ≥ 12th months timepoints were each 45.06% (95% CI: 41.25-48.87%), 41.30% (95% CI: 34.37-48.24%), and 41.32% (95% CI: 39.27-43.37%), respectively. Sex-stratified PCS prevalence was estimated at 47.23% (95% CI: 44.03-50.42%) in male and 52.77% (95% CI: 49.58-55.97%) in female. Based on continental regions, pooled PCS prevalence was estimated at 46.28% (95% CI: 39.53%-53.03%) in Europe, 46.29% (95% CI: 35.82%-56.77%) in America, 49.79% (95% CI: 30.05%-69.54%) in Asia, and 42.41% (95% CI: 0.00%-90.06%) in Australia.
CONCLUSION: The prevalence estimates in this meta-analysis could be used in further comprehensive studies on PCS, which might enable the development of better PCS management plans to reduce the effect of PCS on population health and the related economic burden.
METHODS: A total of 30 Longissimus thoracis samples from three sows were stored under vacuum conditions at 4°C±2°C for 27 days to acquire data. The freshness prediction model for pork loin employed partial least squares regression (PLSR) with Monte Carlo data augmentation. Total bacterial count (TBC) and volatile basic nitrogen (VBN), which exhibited increases correlating with metabolite changes during storage, were designated as freshness indicators. Metabolic contents of the sample were quantified using nuclear magnetic resonance.
RESULTS: A total of 64 metabolites were identified, with 34 and 35 showing high correlations with TBC and VBN, respectively. Lysine and malate for TBC (R2 = 0.886) and methionine and niacinamide for VBN (R2 = 0.909) were identified as the main metabolites in each indicator by Model 1. Model 2 predicted main metabolites using HSI spectral data. Model 3, which predicted freshness indicators with HSI spectral data, demonstrated high prediction coefficients; TBC R2p = 0.7220 and VBN R2p = 0.8392. Furthermore, the combination model (Model 4), utilizing HSI spectral data and predicted metabolites from Model 2 to predict freshness indicators, improved the prediction coefficients compared to Model 3; TBC R2p = 0.7583 and VBN R2p = 0.8441.
CONCLUSION: Combining HSI spectral data with metabolites correlated to the meat freshness may elucidate why certain HSI spectra indicate meat freshness and prove to be more effective in predicting the freshness state of pork loin compared to using only HSI spectral data.
MATERIALS AND METHODS–STUDY PROTOCOL: A total of 60 pairs of persons with PD of stage II and III, and their primary family caregiver will be recruited and allocated into either an experimental or a control group for 12 weeks of intervention. The experimental group will undergo initial training from multi-disciplinary healthcare providers and will be given a physical module containing weekly tasks that must be practised at home. While the control group will receive a usual care. Both groups will be assessed in terms of physical functions, functional mobility, quality of life (QoL), caregiver burden and knowledge using standardised assessment tools namely Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS), Timed Up and Go (TUG) test, Parkinson's Disease Questionnaire (PDQ-39), European Quality of Life five-dimensions (EQ-5D), Malay version of Zarit Burden Interview (MZBI) and Knowledge of Parkinson Disease Questionnaire (KPDQ). In addition, the feasibility and sustainability of the interventions will be evaluated, alongside its cost-effectiveness based on the average and incremental cost effectiveness ratio. All data will be analysed using descriptive and inferential statistics, particularly mixed model ANOVA.
DISCUSSION: There is a significant gap in the literature pertaining family caregiver training programs for people with PD. Documented programs are lacking in term of comprehensiveness of content, application approach and the measurement of training outcomes including the program cost-effectiveness. The feasibility and effectiveness of such training program in a Malaysian setting also requires investigation due to differences in living environment, support system and population's perception. This study will assist to fulfil the existing literature gap and demonstrate the potential benefit of caregiver involvement in mediating the care and therapy for PD in the home setting. Optimum knowledge and skills gained through the training are expected to enhance the confidence and ability of the family caregivers and may possibly reduce their perceived caregiving burden.
PROTOCOL REGISTRATION: The protocol of this study is registered in the Australian-New Zealand Clinical Trial Registry (ANZCTR) with a registration number ACTRN12623000336684.
METHODS: This quantitative study was conducted from May 2021 to December 2021. The sample population was newly employed nurses working at state hospitals with 1-2 years of service experience. This study involved 496 newly hired nurses from MOH state hospitals. Questionnaires were distributed through Google Forms. The data were analysed using covariance-based structural equation modelling.
RESULTS: The participants perceived that workplace organisation (OC), academic institution contribution (AIC), and new nurse's personality traits (PT) contributed approximately 36% to newly employed nurses' adaptation (NENA). PT partially mediated the relationship between OC and NENA and between AIC and NENA.
CONCLUSIONS: The results could be useful to nursing authorities. We also recommend that a nurse's personality be developed, emphasised, and enhanced through continuous programmes or training to ensure that they can easily adapt to their new working environment. Furthermore, academic institution and work organisation collaboration should be encouraged to develop improvement cycles that facilitate newly employed nurses' prompt and efficient adaptation at MOH hospitals during transition.
PURPOSE: This study provides new insights on the changes of endogenous metabolites caused by I. aquatica ethanolic extract and improves the understanding on the therapeutic efficacy and mechanism of I. aquatica ethanolic extract.
METHODS: By using a combination of 1H nuclear magnetic resonance (NMR) with multivariate analysis (MVDA), the changes of metabolites due to I. aquatica ethanolic extract administration in obese diabetic-induced Sprague Dawley rats (OB+STZ+IA) were identified.
RESULTS: The results suggested 19 potential biomarkers with variable importance projections (VIP) above 0.5, which include creatine/creatinine, glucose, creatinine, citrate, carnitine, 2-oxoglutarate, succinate, hippurate, leucine, 1-methylnicotinamice (MNA), taurine, 3-hydroxybutyrate (3-HB), tryptophan, lysine, trigonelline, allantoin, formiate, acetoacetate (AcAc) and dimethylamine. From the changes in the metabolites, the affected pathways and aspects of metabolism were identified.
CONCLUSION: I. aquatica ethanolic extract increases metabolite levels such as creatinine/creatine, carnitine, MNA, trigonelline, leucine, lysine, 3-HB and decreases metabolite levels, including glucose and tricarboxylic acid (TCA) intermediates. This implies capabilities of I. aquatica ethanolic extract promoting glycolysis, gut microbiota and nicotinate/nicotinamide metabolism, improving the glomerular filtration rate (GFR) and reducing the β-oxidation rate. However, the administration of I. aquatica ethanolic extract has several drawbacks, such as unimproved changes in amino acid metabolism, especially in reducing branched chain amino acid (BCAA) synthesis pathways and lipid metabolism.
METHODOLOGY: Serum samples from 39 predominantly breastfeeding mother-infant pairs were analyzed for inflammatory cytokine and immunoglobulin profiles using BIOPLEX. The infants' ages ranged from 10 days to 14 weeks.
RESULTS: IL-1r, IL-4, IL-9, IL-12p70, IL-17a, G-CSF and PDGF-BB were significantly raised in E. histolytica infected compared to non-infected lactating mothers (p
SETTINGS: Health screening programme conducted in three inland settlements in the east coast of Malaysia and Peninsular Malaysia.
SUBJECTS: 150 Negritos who were still living in three inland settlements in the east coast of Malaysia and 1227 Malays in Peninsular Malaysia. These subjects were then categorised into MS and non-MS groups based on the International Diabetes Federation (IDF) consensus worldwide definition of MS and were recruited between 2010 and 2015. The subjects were randomly selected and on a voluntary basis.
PRIMARY AND SECONDARY OUTCOME MEASURES: This study was a cross-sectional study. Serum samples were collected for analysis of inflammatory (hsCRP), endothelial activation (sICAM-1) and prothrombogenesis [lp(a)] biomarkers.
RESULTS: MS was significantly higher among the Malays compared with Negritos (27.7%vs12.0%). Among the Malays, MS subjects had higher hsCRP (p=0.01) and sICAM-1 (p<0.05) than their non-MS counterpart. There were no significant differences in all the biomarkers between MS and the non-MS Negritos. However, when compared between ethnicity, all biomarkers were higher in Negritos compared with Malays (p<0.001). Binary logistic regression analysis affirmed that Negritos were an independent predictor for Lp(a) concentration (p<0.001).
CONCLUSIONS: This study suggests that there may possibly be a genetic influence other than lifestyle, which could explain the lack of difference in biomarkers concentration between MS and non-MS Negritos and for Negritos predicting Lp(a).