METHODS: Fifty-nine chemo-naive patients receiving either olanzapine or aprepitant were randomly recruited and completed the EQ-5D-5L before and day 5 after HEC. HRQoL utility scores were analyzed according to the Malaysian valuation set. The economic evaluation was conducted from a healthcare payer perspective with a 5-day time horizon. Quality-adjusted life days (QALD) and the rate of successfully treated patients were used to measure health effects. The incremental cost-effectiveness ratio is assessed as the mean difference between groups' costs per mean difference in health effects. A one-way sensitivity analysis was performed to assess variations that might affect outcomes.
RESULTS: Aprepitant and olanzapine arms' patients had comparable baseline mean HRQoL utility scores of 0.920 (SD = 0.097) and 0.930 (SD = 0.117), respectively; however, on day 5, a significant difference (P value = .006) was observed with mean score of 0.778 (SD = 0.168) for aprepitant and 0.889 (SD = 0.133) for olanzapine. The cost per successfully treated patient in the aprepitant arm was 60 times greater than in the olanzapine arm (Malaysian Ringgit [MYR] 927 vs MYR 14.83). Likewise, the cost per QALD gain in the aprepitant arm was 36 times higher than in the olanzapine arm (MYR 57.05 vs MYR 1.57). Incremental cost-effectiveness ratio of MYR -937.00 (USD -200.98) per successfully treated patient and MYR -391.84 (USD -85.43) per QALD gained for olanzapine compared with the aprepitant-based regimen.
CONCLUSIONS: An olanzapine-based regimen is a cost-effective therapeutic substitution in patients receiving HEC in Malaysia.
METHODS: In this analysis, we obtained data from individuals in 25 high-income, middle-income, and low-income countries from the Prospective Urban Rural Epidemiological (PURE) study (175 660 participants). In the PURE study, individuals aged 35-70 years who intended to continue living in their current home for a further 4 years were invited to complete a questionnaire on activity limitations. Participant follow-up was planned once every 3 years either by telephone or in person. The activity limitation screen consisted of questions on self-reported difficulty with walking, grasping, bending, seeing close, seeing far, speaking, hearing, and use of assistive devices (gait, vision, and hearing aids). We estimated crude prevalence of self-reported activity limitations and use of assistive devices, and prevalence standardised by age and sex. We used logistic regression to additionally adjust prevalence for education and socioeconomic factors and to estimate the probability of activity limitations and assistive devices by age, sex, and country income. We used Cox frailty models to evaluate the association between each activity limitation with mortality and clinical events (cardiovascular disease, heart failure, pneumonia, falls, and cancer). The PURE study is registered with ClinicalTrials.gov, NCT03225586.
FINDINGS: Between Jan 12, 2001, and May 6, 2019, 175 584 individuals completed at least one question on the activity limitation questionnaire (mean age 50·6 years [SD 9·8]; 103 625 [59%] women). Of the individuals who completed all questions, mean follow-up was 10·7 years (SD 4·4). The most common self-reported activity limitations were difficulty with bending (23 921 [13·6%] of 175 515 participants), seeing close (22 532 [13·4%] of 167 801 participants), and walking (22 805 [13·0%] of 175 554 participants); prevalence of limitations was higher with older age and among women. The prevalence of all limitations standardised by age and sex, with the exception of hearing, was highest in low-income countries and middle-income countries, and this remained consistent after adjustment for socioeconomic factors. The use of gait, visual, and hearing aids was lowest in low-income countries and middle-income countries, particularly among women. The prevalence of seeing close limitation was four times higher (6257 [16·5%] of 37 926 participants vs 717 [4·0%] of 18 039 participants) and the prevalence of seeing far limitation was five times higher (4003 [10·6%] of 37 923 participants vs 391 [2·2%] of 18 038 participants) in low-income countries than in high-income countries, but the prevalence of glasses use in low-income countries was half that in high-income countries. Walking limitation was most strongly associated with mortality (adjusted hazard ratio 1·32 [95% CI 1·25-1·39]) and most consistently associated with other clinical events, with other notable associations observed between seeing far limitation and mortality, grasping limitation and cardiovascular disease, bending limitation and falls, and between speaking limitation and stroke.
INTERPRETATION: The global prevalence of activity limitations is substantially higher in women than men and in low-income countries and middle-income countries compared with high-income countries, coupled with a much lower use of gait, visual, and hearing aids. Strategies are needed to prevent and mitigate activity limitations globally, with particular emphasis on low-income countries and women.
FUNDING: Funding sources are listed at the end of the Article.
METHODS: A total of 144 participants were recruited (48 cigarette smokers, 48 e-cigarette smokers, and 48 never-smokers). Clinical periodontal parameters, including plaque index (PI), gingival index (GI), periodontal probing pocket depth (PPD), and clinical attachment loss (CAL) were recorded, excluding third molars. The level of unstimulated whole salivary pH was measured using a portable pH meter and the levels of salivary cotinine were measured using Enzyme-Linked Immunosorbent Assay (ELISA).
RESULTS: Data were analysed statistically using analysis of variance. Mean scores of PPD, percentage of pocket depth ≥ 4 mm, and CAL (p
METHODS: A cost-of-illness model was developed. The Ministry of Health perspective was considered, direct medical costs were estimated from July 1st to September 30th, using a bottom-up approach. The mean cost per hospitalized patient was estimated using a decision analysis model. Prevalence estimates of ambulance use, use of ER, ICU admission, and mortality were considered in the current study. Patients aged 18 years and above with a confirmed diagnosis of COVID-19 were included. One-way sensitivity analysis and probabilistic sensitivity analysis (PSA) were performed.
RESULTS: Data for 2986 patients were analyzed. The mean age was 61 (SD= 11) years old. Most of the patients were Kuwaiti (2864, 95.91%), and more than half were females (1677, 56.16%). Of the total hospital admissions, 417 patients (14%) were admitted to the ICU. The average length of the hospital stay was 11 (SD= 9) days, and among all hospital admissions, 270 (9.04%) patients died. The total estimated direct medical cost of hospitalized patients at Jaber Al-Ahmad Hospital was $47,213,768 (14,283,203.6 KD). The average cost of hospital stay per patient was estimated at $15,498 (4,688.60 KD). The weighted average cost per hospitalized patient in Kuwait was estimated at $16,373 (4,953.08 KD). The total direct medical cost of hospitalized COVID-19 patients in Kuwait during the study period was estimated at $174,372,450 (52,751,502 KD).
CONCLUSION: The COVID-19 pandemic constituted a significant burden on the Kuwaiti healthcare system. The findings of this study urge the need for preventive care strategies to reduce adverse health outcomes and the economic impact of the pandemic.
PATIENTS AND METHODS: The dataset encompassed patient data from a tertiary cardiothoracic center in Malaysia between 2011 and 2015, sourced from electronic health records. Extensive preprocessing and feature selection ensured data quality and relevance. Four machine learning algorithms were applied: Logistic Regression, Gradient Boosted Trees, Support Vector Machine, and Random Forest. The dataset was split into training and validation sets and the hyperparameters were tuned. Accuracy, Area Under the ROC Curve (AUC), precision, F-measure, sensitivity, and specificity were some of the evaluation criteria. Ethical guidelines for data use and patient privacy were rigorously followed throughout the study.
RESULTS: With the highest accuracy (88.66%), AUC (94.61%), and sensitivity (91.30%), Gradient Boosted Trees emerged as the top performance. Random Forest displayed strong AUC (94.78%) and accuracy (87.39%). In contrast, the Support Vector Machine showed higher sensitivity (98.57%) with lower specificity (59.55%), but lower accuracy (79.02%) and precision (70.81%). Sensitivity (87.70%) and specificity (87.05%) were maintained in balance via Logistic Regression.
CONCLUSION: These findings imply that Gradient Boosted Trees and Random Forest might be an effective method for identifying patients who would develop AKI following heart surgery. However specific goals, sensitivity/specificity trade-offs, and consideration of the practical ramifications should all be considered when choosing an algorithm.
METHODS: An international, multicenter, and superiority randomized controlled trial included 320 intention-to-treat patients across 8 medical centers in China, the Philippines, Malaysia and Turkey from August 2023 to February 2024. The inclusion criteria were patients ≥18 years old with renal or ureteral stones ≤30 mm. RIRS was performed using either S-UAS or traditional UAS. The primary outcome was the immediately stone-free rate (SFR). Secondary outcomes included SFR 3 months after operation, operating time, hospital stay, auxiliary procedures, complications (using the Clavien-Dindo grading system), and improvement in the Quality of Life (QoL) score. Differences between proportions [risk difference (RD)]/means [mean difference (MD)] and 95% confidence intervals (CI) were presented. This study is registered at ClinicalTrials.gov: NCT05952635.
FINDINGS: The S-UAS group demonstrated a significantly higher immediately SFR (81.3% versus 49.4%; RD 31.9%; 95% CI 22.5%-41.7%; p = 0.004) compared to the traditional UAS group, as determined by the one-side superiority test. Additionally, the S-UAS group exhibited a higher SFR at 3 months post-operation (87.5% versus 70.0%; RD 17.5%; 95% CI 8.7%-26.3%; p
SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40203-024-00246-9.
OBJECTIVE: To describe the development and evaluate the usability of a mobile app in delivering a culturally adapted stroke prevention educational programme for middle-aged adults in the Republic of China.
METHODS: The educational programme was developed in three phases. In Phase 1, the process involved analysing requirements and designing structured modules. Phase 2 concentrated on expert consultation and technical development to deliver the educational programme. Phase 3 included a usability trial and refinement of the educational program based on trial results.
RESULTS: Educational content was derived from the Chinese Guidelines for the Prevention and Treatment of Stroke and the Dietary Guidelines for Residents. The WeChat platform was used to deliver the educational programme. Participants expressed satisfaction with the content, interface, and functions of the apps, indicating that the apps have good usability.
CONCLUSIONS: The development process of the Educational Programme was designed to maximise the culturally appropriate, and impact of lifestyle changes and stroke prevention. An app-based educational programme that has demonstrated good usability is a vital factor prior to deploying it in an intervention to evaluate its effects on health outcomes.
METHODS: This paper presents a new machine learning approach that uses MICE for mitigating missing data, the IQR for handling outliers and SMOTE to address first imbalance distance. Additionally, to select optimal features, we introduce the Hybrid 2-Tier Grasshopper Optimization with L2 regularization methodology which we call GOL2-2T. One of the promising methods to improve the predictive modelling is an Adaboost decision fusion (ABDF) ensemble learning algorithm with babysitting technique implemented for the hyperparameters tuning. The accuracy, recall, and AUC score will be considered as the measures for assessing the model.
RESULTS: On the results, our heart disease prediction model yielded an accuracy of 83.0%, and a balanced F1 score of 84.0%. The integration of SMOTE, IQR outlier detection, MICE, and GOL2-2T feature selection enhances robustness while improving the predictive performance. ABDF removed the impurities in the model and elaborated its effectiveness, which proved to be high on predicting the heart disease.
DISCUSSION: These findings demonstrate the effectiveness of additional machine learning methodologies in medical diagnostics, including early recognition improvements and trustworthy tools for clinicians. But yes, the model's use and extent of work depends on the dataset used for it really. Further work is needed to replicate the model across different datasets and samples: as for most models, it will be important to see if the results are generalizable to populations that are not representative of the patient population that was used for the current study.
METHODS: Guided by the PRISMA framework, we conducted a rigorous search through the PubMed, Web of Science and Scopus databases, analyzing 254 articles. Each article was scrutinized against pre-defined inclusion criteria, yielding a refined selection of 14 studies worthy of in-depth analysis.
RESULTS: The trends in using morphological approaches were identified for analyzing osteoblast and osteoclast differentiation. The three most used techniques for osteoblasts were Alizarin Red S (mineralization; six articles), von Kossa (mineralization; three articles) and alkaline phosphatase (ALP; two articles) followed by one article on Giemsa staining (cell morphology) and finally immunochemistry (three articles involved Vinculin, F-actin and Col1 biomarkers). For osteoclasts, tartrate-resistant acid phosphatase (TRAP staining) has the highest number of articles (six articles), followed by two articles on DAPI staining (cell morphology), and immunochemistry (two articles with VNR, Cathepsin K and TROP2. The study involved four stem cell types: peripheral blood monocyte, mesenchymal, dental pulp, and periodontal ligament.
CONCLUSION: This review offers a valuable resource for researchers, with Alizarin Red S and TRAP staining being the most utilized morphological procedures for osteoblasts and osteoclasts, respectively. This understanding provides a foundation for future research in this rapidly changing field.