RESEARCH DESIGN AND METHODS: 19,440 patients with T2D underwent structured evaluation utilizing the JADE platform with clinical outcomes data retrieved from territory-wide electronic medical records including inpatient, outpatient and emergency care. Two-part model was adopted to account for skewed healthcare costs distribution. Incremental healthcare costs associated with nine non-fatal diabetes complications and all-cause death were estimated, adjusted for demographic, clinical, lifestyle factors and comorbidities.
RESULTS: In this prospective cohort [mean ± SD age:59.9 ± 11.9 years, 56.6 % men, duration of diabetes:7.3 ± 7.5 years, HbA1C:7.5 ± 1.6 %] observed for 7 (interquartile range:4-9) years (142,132 patient-years), the mean annual healthcare costs, mainly due to inpatient cost, were USD$2,990 ± 9,960. Lower extremity amputation (LEA) (USD$31,302; 95 %CI: 25,706-37,004), hemorrhagic stroke (USD$21,164; 17,680-24,626), ischemic stroke (USD$17,976; $15,937-20,352) and end-stage disease (ESRD) (USD$14,774; 13,405-16,250) in the year of event incurred the highest cost. Residual healthcare costs in the post-event years were highest for ESRD, LEA, haemorrhagic stroke and incident cancer.
CONCLUSION: These comprehensive temporal healthcare cost estimates for diabetes-related complications allows the performance of long-term, patient-level, cost-effectiveness analyses on T2D prevention and treatment strategies relevant to an Asian and possibly global contexts. These may inform decision-makers on resource allocation aimed at reducing the burden of T2D and chronic diseases.
METHODS: This study employed a quasi-experimental design, a pre-test-post-test interventional study, involving a sample of 68 adolescent patients between the ages of 13 and 18 diagnosed with ESKD. The quality of life level was assessed in both groups using an Arabic version of the Pediatric Quality of Life Inventory™ version 3.0 ESKD Module survey. The study was conducted at the dialysis units in four hospitals associated with Augusta Victoria Hospital, An-Najah University Hospital, Palestine Medical Complex/Ramallah, and Beit Jala (Al Housain) Hospital. The study involved providing tailored face-to-face educational sessions with video assistance to the experimental group, while the control group received regular face-to-face education.
FINDINGS: The Generalized Estimating Equation analysis revealed no significant differences in quality of life between the experimental and control groups over time, across pre-test, post-test, and follow-up periods (p ≥ 0.05). However, within the experimental group, there was a significant improvement in total quality of life scores between the pre-test, post-test, and post-test follow-up (p ≤ 0.001), although the difference between the pre-test and follow-up approached significance but was not statistically significant (p = 0.056). In contrast, the control group showed significant differences in quality of life across the pre-test, post-test, and follow-up time points (p ≤ 0.05).
DISCUSSION: Implementing suitable interventions can potentially enhance the quality of life for individuals undergoing hemodialysis. Consequently, we suggest using video-based education as a cost-effective, uncomplicated, and engaging approach for educating hemodialysis patients.
METHODS: The 307 open-label extension (OLE) study (NCT03531255) is a non-randomized, multicenter extension study of long-term safety and efficacy of pegcetacoplan in adult patients with PNH who completed a pegcetacoplan parent study. All patients received pegcetacoplan. Outcomes at the 48-week data cutoff (week 48 of 307-OLE or August 27, 2021, whichever was earlier) are reported. Hemoglobin concentrations, Functional Assessment of Chronic Illness Therapy (FACIT)-Fatigue scores, and transfusion avoidance were measured. Hemoglobin > 12 g/dL and sex-specific hemoglobin normalization (i.e., male, ≥ 13.6 g/dL; female, ≥ 12 g/dL) were assessed as percentage of patients with data available and no transfusions 60 days before data cutoff. Treatment-emergent adverse events, including hemolysis, were reported.
RESULTS: Data from 137 patients with at least one pegcetacoplan dose at data cutoff were analyzed. Mean (standard deviation [SD]) hemoglobin increased from 8.9 (1.22) g/dL at parent study baseline to 11.6 (2.17) g/dL at 307-OLE entry and 11.6 (1.94) g/dL at data cutoff. At parent study baseline, mean (SD) FACIT-Fatigue score of 34.1 (11.08) was below the general population norm of 43.6; scores improved to 42.8 (8.79) at 307-OLE entry and 42.4 (9.84) at data cutoff. In evaluable patients, hemoglobin > 12 g/dL occurred in 40.2% (43 of 107) and sex-specific hemoglobin normalization occurred in 31.8% (34 of 107) at data cutoff. Transfusion was not required for 114 of 137 patients (83.2%). Hemolysis was reported in 23 patients (16.8%). No thrombotic events or meningococcal infections occurred.
CONCLUSION: Pegcetacoplan sustained long-term improvements in hemoglobin concentrations, fatigue reduction, and transfusion burden. Long-term safety findings corroborate the favorable profile established for pegcetacoplan.
TRIAL REGISTRATION: ClinicalTrials.gov identifier, NCT03531255.
MATERIALS AND METHODS: All the cross-sectional studies were retrieved from the PubMed databases, the Web of Science ISI, Scopus, and the Cochrane Library. Papers published in English between 2 November 2019 and 23 May 2023 were subjected to further assessment based on their title, abstract, and main text, with a view to ensuring their relevance to the present study.
RESULTS: Following an exhaustive investigation, 59 studies were selected for screening in this systematic review. The most frequently employed method of data collection was the online survey. The study sample comprised 59.12% women and 40.88% men, with ages ranging from 16 to 78 years. The proportion of individuals accepting the vaccine ranged from 13% to 96%, while the proportion of those exhibiting hesitancy ranged from 0% to 57.5%. The primary reasons for accepting the COIVD-19 vaccine were a heightened perception of risk associated with the virus and a general trust in the healthcare system. The most frequently cited reasons for vaccine hesitancy in the context of the ongoing pandemic include concerns about the potential dangers of the vaccines, the rapid pace of their development, the possibility of adverse effects (such as infertility or death), and the assumption that they have been designed to inject microchips.
DISCUSSION: A variety of socio-demographic factors are implicated in determining the rate of vaccine acceptance. A number of socio-demographic factors have been identified as influencing vaccine acceptance. These include high income, male gender, older age, marriage, the presence of older children who have been vaccinated and do not have chronic diseases, high education, and health insurance coverage.
CONCLUSION: Eliminating vaccine hesitancy or increasing vaccine acceptance is a crucial factor that should be addressed through various means and in collaboration with regulatory and healthcare organizations.
METHODS: MiRNA profiling was conducted on plasma samples from 18 patients with primary aldosteronism taken during adrenal venous sampling on an Illumina MiSeq platform. Bioinformatics and machine learning identified 9 miRNAs for validation by reverse transcription real-time quantitative polymerase chain reaction. Validation was performed on a cohort consisting of 108 patients with known subdifferentiation. A 30-patient subset of the validation cohort involved both adrenal venous sampling and peripheral, the rest only peripheral samples. A neural network model was used for feature selection and comparison between adrenal venous sampling and peripheral samples, while a deep-learning model was used for classification.
RESULTS: Our model identified 10 miRNA combinations achieving >85% accuracy in distinguishing unilateral primary aldosteronism and bilateral adrenal hyperplasia on a 30-sample subset, while also confirming the suitability of peripheral samples for analysis. The best model, involving 6 miRNAs, achieved an area under curve of 87.1%. Deep learning resulted in 100% accuracy on the subset and 90.9% sensitivity and 81.8% specificity on all 108 samples, with an area under curve of 86.7%.
CONCLUSIONS: Machine learning analysis of circulating miRNAs offers a minimally invasive alternative for primary aldosteronism lateralization. Early identification of bilateral adrenal hyperplasia could expedite treatment initiation without the need for further localization, benefiting both patients and health care providers.
METHODS: We combined data from 21 prospective cohorts across six continents (N = 31,680) and conducted cohort-specific Cox proportional hazard regression analyses in a two-step individual participant data meta-analysis.
RESULTS: A one-standard-deviation increase in LIBRA score was associated with a 21% higher risk for dementia. The association was stronger for Asian cohorts compared to European cohorts, and for individuals aged ≤75 years (vs older), though only within the first 5 years of follow-up. No interactions with sex, education, or socioeconomic position were observed.
DISCUSSION: Modifiable risk and protective factors appear relevant for dementia risk reduction across diverse geographical and sociodemographic groups.
HIGHLIGHTS: A two-step individual participant data meta-analysis was conducted. This was done at a global scale using data from 21 ethno-regionally diverse cohorts. The association between a modifiable dementia risk score and dementia was examined. The association was modified by geographical region and age at baseline. Yet, modifiable dementia risk and protective factors appear relevant in all investigated groups and regions.
MATERIALS AND METHODS: This retrospective study analysed 119 COVID-19 patients admitted to Al-Sultan Abdullah Hospital (HASA) from March until December 2020. Demographics, medical histories, admission laboratory results, electrocardiogram (ECG), echocardiogram (echo), were captured from the hospitals' health records. Myocardial injury is an injury to the myocardium that can be diagnosed by elevated cardiac troponin T or I level above the 99th percentile upper reference limit (URL), an abnormal ECG, and an abnormal echo. Data were analysed using Statistical Package for Social Sciences (SPSS) Version 27.
RESULTS: From this study, it was founded that the prevalence of myocardial injury is 36.1% (43 subjects out of 119). The risk factors are older age (odds ratio, 2.347; p=0.028), males (odds ratio, 2.019; p=0.125), Indians (odds ratio, 3.659; p=0.296), hypertension (odds ratio, 2.776; p=0.009), diabetes mellitus (odds ratio, 1.732; p=0.155) and category 4 and 5 COVID-19 patients (odds ratio, 2.325; p=0.038).
CONCLUSION: Myocardial injury is prevalent among patients affected by COVID-19 and is associated with older age, hypertension and category 4 and 5 COVID-19. The researchers suggested conducting a more thorough investigation of the sizable population in multiple settings and conducting a prospective study where all infected COVID-19 patients have to undergo several tests, such as ECG, troponin T, and echocardiogram.
MATERIALS AND METHODS: Seventy-one patients with carotid atherosclerotic plaques (95 plaques) were studied on CEUS. Contrast enhancement in the plaque was evaluated with visual interpretation and quantitative analysis. The intraplaque neovascularisation (IPN) test was graded on a 3- point scale. IPN was quantified using dedicated software for CEUS image analysis.
RESULTS: It was found that the CEUS quantitative parameters were significantly different for plaques with varying types of echoes. The quantitative parameters also differed in soft, hard, and mixed plaques. The quantification of carotid IPN using CEUS was found feasible. The quantitative parameters measured from CEUS provide multiple references for carotid IPN of different echo types. This can help identify and monitor unstable atherosclerotic plaques.
CONCLUSION: CEUS has the potential to be an important tool in clinical application, specifically for diagnosing carotid atherosclerotic plaque features and vulnerability.
PURPOSE: The primary goal of osteoporosis management is to prevent fragility fractures, which occur from falls from standing height or less in individuals over fifty. However, the management of bone health optimization is often neglected in patients undergoing elective surgeries, such as arthroplasty and spinal surgeries. The objective of this article is to link all these three conditions into a TRIAD so that surgeons and physicians can collaborate more effectively, utilizing similar principles and strategies for better management.
METHODOLOGY: Clinical approaches based on country-specific guidelines are commonly used to manage osteoporosis. However, skeletal assessments are rarely conducted before or after elective procedures, leading to overlooked conditions such as osteoporosis, osteopenia, and fragility fracture risk factors. These three conditions are illustrated from the patient case study shown, to highlight the importance of not neglecting bone health optimization in high risk individuals undergoing elective surgery, with underlying osteopenia and multiple risk factors who sustained fragility fracture intraoperatively.
RESULT: Patients undergoing elective surgeries often have their bone health neglected, leading to a higher incidence of complications such as aseptic loosening and peri-prosthetic fractures due to poor bone quality and density. Bone health assessment and optimization therefore is essential in patients with osteoporosis, osteopenia with clinical risk factors, and patients with history of fragility fracture, to ensure implants sit on bone with good density and quality to minimize the complications.
CONCLUSION: By combining osteoporosis, fragility fractures, and bone health optimization into a TRIAD, "Lee's TRIAD," surgeons and physicians can collaborate more effectively, utilizing similar principles and strategies for better management.
OBJECTIVE: This study aims to evaluate the effectiveness of the Leveraging on Virtual Engagement for Maternal Understanding & Mood-enhancement (LoVE4MUM) mobile app, which was developed based on the principles of cognitive behavioral therapy and psychoeducation and serves as an intervention to prevent postpartum depression.
METHODS: This single-blinded, pilot randomized controlled trial includes 64 mothers recruited from the postnatal ward and randomized using a 1:1 ratio to receive either postpartum care (treatment as usual) or postpartum care (treatment as usual) plus the self-guided LoVE4MUM mobile app. The primary outcome is the effectiveness of the mobile app at improving postpartum depression. Secondary outcomes are changes in the mental health literacy score and negative automatic thoughts, which are collected using a self-reported questionnaire.
RESULTS: Patient recruitment began on September 1, 2024. As of January 1, 2025, recruitment was successfully completed, with a total of 72 participants enrolled: 36 in the intervention group and 36 in the control group . The final results are anticipated to be available by March 2025, and publication is expected by the end of 2025.
CONCLUSIONS: By examining the LoVE4MUM app alongside standard postpartum care, this pilot randomized controlled trial seeks to offer preliminary evidence on the potential of mHealth tools to improve maternal mental health as well as to reduce postpartum depression symptoms. The findings are expected to contribute to the future development of effective, accessible, and scalable interventions for mothers.
TRIAL REGISTRATION: ClinicalTrials.gov NCT06366035; https://clinicaltrials.gov/study/NCT06366035.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/63564.