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Risk of cardiovascular diseases among young adults: a cross-sectional study in Malaysia

BMJ Open. 2024 Apr 30;14(4):e084454. doi: 10.1136/bmjopen-2024-084454.

ABSTRACT

BACKGROUND: Cardiovascular disease (CVD) is the major cause of mortality worldwide. Recent studies showed that there is increasing CVD incidence at younger ages. Therefore, this study aimed to estimate the risk of CVD and its associated factors among young adults.

METHODS: A cross-sectional study was conducted among university students in Selangor, Malaysia, using a self-administered questionnaire along with anthropometric measurements. The sample size was calculated using a single proportion formula. The CVD risk was calculated using the non-laboratory-based Inter-Heart Modifiable Risk Score (IHMRS). Participants aged 18 years and above, with no CVD history, were recruited using a convenience sampling method between February and May 2022. CVD risk was classified as low (scores between 0 and 9 points), moderate (scores between 10 and 15 points) and high (scores between 16 and 48 points). The factors associated with the CVD risk were identified using χ2 analysis.

RESULTS: A total of 241 participants were included in this study. The median age was 28 years and the majority were females (75.1%). The IHMRS revealed that 46.5%, 44.4% and 9% of the respondents have low, moderate and high CVD risk, respectively. The CVD risk associated factors were education, the history of heart attacks among parents, feeling sad or depressed for 2 weeks or more in a row, having several episodes/permanent stress, expose to secondhand smoke and consuming meat and poultry more than two times daily.

CONCLUSIONS: This study found that more than 50% of study participants had moderate to high risk of CVD. Family history and lifestyle factors are the most likely determinants of CVD risk among the young age group. These findings support the development and implementation of targeted prevention programmes as well as provide useful information for action planning and policymaking to curb the disease in the future.

PMID:38688667 | DOI:10.1136/bmjopen-2024-084454

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Time-to-onset Analysis of Rhabdomyolysis due to Different Proton Pump Inhibitors Using a Pharmacovigilance Database

In Vivo. 2024 May-Jun;38(3):1285-1291. doi: 10.21873/invivo.13567.

ABSTRACT

BACKGROUND/AIM: Recent research has increasingly demonstrated an association between proton pump inhibitors (PPIs) and serious adverse events. This study aimed to evaluate the association between PPI and rhabdomyolysis (RM), examining its time-to-onset profiles using the Japanese Adverse Drug Event Report (JADER) database.

PATIENTS AND METHODS: Data spanning from April 2004 to March 2022 were used. The association between PPIs and RM was evaluated using the reporting odds ratio (ROR), adjusted for sex and age. Subsequent analyses were conducted after excluding cases involving concomitant use of statins or fibrates. Furthermore, the onset time of RM and Weibull distribution parameters were calculated to evaluate the expression profile of RM, and the outcomes were examined.

RESULTS: RM was associated with the use of esomeprazole, omeprazole, and rabeprazole, even in the absence of concomitant statin or fibrate use. The median time to RM onset varied among PPIs, ranging from 6.5 to 127 d. The Weibull distribution parameters indicated that the hazard types of nearly all orally administered PPIs were classified as early failure or close to random failure. Regarding outcomes, cases of death were reported for all PPIs except vonoprazan.

CONCLUSION: The findings suggest the need for vigilant monitoring of RM during PPI administration, particularly in the early stages, considering the varying onset times.

PMID:38688634 | DOI:10.21873/invivo.13567

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Stage Migration in Canine Multicentric Lymphoma: Impact of Diagnostic Techniques on Assessing Disease Extent

In Vivo. 2024 May-Jun;38(3):1429-1435. doi: 10.21873/invivo.13585.

ABSTRACT

BACKGROUND/AIM: Stage migration, a phenomenon triggered by technological advancements allowing more sensitive tumor spread detection, results in alterations in the distribution of cancer stages within a population. Canine multicentric lymphoma is staged I to V based on the affected anatomic site(s) and substage a or b depending on the presence of tumor-related clinical signs. The primary objective of this study was to assess the influence of various diagnostic techniques on staging accuracy and determine whether multiple staging methods lead to significant stage migration, impacting the reliability of disease stage assignments.

MATERIALS AND METHODS: Dogs cytologically diagnosed with multicentric lymphoma were staged using four different staging methods (A-D): A (physical examination, hemogram, blood smear), B (A plus thoracic X-ray, abdominal ultrasound), C (B plus liver and spleen cytology) and D (C plus bone marrow cytology).

RESULTS: Twenty-three dogs were enrolled: 16 females (70%) and seven males (30%). Regarding immunophenotype, 21 dogs (91.3%) were B-cell and two dogs (8.7%) were T-cell. Stage migration was observed between all staging methods. Between A and B, 12 animals migrated from stage III to stage IV. Between B and C, four animals migrated, three to a higher stage (stage III to IV) and one to a lower stage (stage IV to III). Between C and D, one animal migrated from stage IV to V. The differences between staging methods A and B were statistically significant (p≤0.001).

CONCLUSION: Stage migration in canine multicentric lymphoma depends on the diagnostic methods used and reinforces the need to use standardized staging methods to avoid it.

PMID:38688606 | DOI:10.21873/invivo.13585

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ARID1 and BRG1 Expression in Endometrial Cancer

In Vivo. 2024 May-Jun;38(3):1260-1265. doi: 10.21873/invivo.13563.

ABSTRACT

BACKGROUND/AIM: Endometrial cancer (EC) is the predominant malignancy among gynecologic cancers and ranks fourth among all types of cancer. Recently, researchers have focused on the development of new prognostic biomarkers. Subunits of the SWI/SNF protein complex, like the ARID1 and BRG1, have been associated with the development of endometrial cancer. The present study aimed to evaluate the expression patterns of ARID1A and BRG1 in a collection of endometrioid adenocarcinomas of the uterus using immunohistochemistry.

PATIENTS AND METHODS: The study comprised a total of thirty-three individuals diagnosed with stage I endometrioid endometrial cancer, treated with radical hysterectomy. The histological material was then examined to assess the cytoplasmic and nuclear expression of the proteins.

RESULTS: ARID1A exhibited expression in both the cytoplasm and nucleus of cancer cells, whereas BRG1 was mainly expressed in the nuclei. In addition, ARID1A exhibited a notable decrease in expression in grade 3 histology, with no significant correlation with the depth of myometrial invasion. The reduced expression was highly related to tumor expansion into the endocervix. The findings demonstrated a total absence of ARID1A expression in 27% of endometrioid carcinomas, with a significant reduction in expression in an additional 51% of cancer cells. These findings align with the most recent published data. In contrast, in the current study, BRG1 was rarely down-regulated and was extensively expressed in the majority of endometrioid carcinomas, preventing the possibility of statistical analysis.

CONCLUSION: In summary, ARID1A expression loss can be used as a biomarker to guide post-operative therapy; however, further investigation is needed, especially for early-stage endometrial cancer.

PMID:38688602 | DOI:10.21873/invivo.13563

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Artificial Intelligence-suggested Predictive Model of Survival in Patients Treated With Stereotactic Radiotherapy for Early Lung Cancer

In Vivo. 2024 May-Jun;38(3):1359-1366. doi: 10.21873/invivo.13576.

ABSTRACT

BACKGROUND/AIM: Overall survival (OS)-predictive models to clinically stratify patients with stage I Non-Small Cell Lung Cancer (NSCLC) undergoing stereotactic body radiation therapy (SBRT) are still unavailable. The aim of this work was to build a predictive model of OS in this setting.

PATIENTS AND METHODS: Clinical variables of patients treated in three Institutions with SBRT for stage I NSCLC were retrospectively collected into a reference cohort A (107 patients) and 2 comparative cohorts B1 (32 patients) and B2 (38 patients). A predictive model was built using Cox regression (CR) and artificial neural networks (ANN) on reference cohort A and then tested on comparative cohorts.

RESULTS: Cohort B1 patients were older and with worse chronic obstructive pulmonary disease (COPD) than cohort A. Cohort B2 patients were heavier smokers but had lower Charlson Comorbidity Index (CCI). At CR analysis for cohort A, only ECOG Performance Status 0-1 and absence of previous neoplasms correlated with better OS. The model was enhanced combining ANN and CR findings. The reference cohort was divided into prognostic Group 1 (0-2 score) and Group 2 (3-9 score) to assess model’s predictions on OS: grouping was close to statistical significance (p=0.081). One and 2-year OS resulted higher for Group 1, lower for Group 2. In comparative cohorts, the model successfully predicted two groups of patients with divergent OS trends: higher for Group 1 and lower for Group 2.

CONCLUSION: The produced model is a relevant tool to clinically stratify SBRT candidates into prognostic groups, even when applied to different cohorts. ANN are a valuable resource, providing useful data to build a prognostic model that deserves to be validated prospectively.

PMID:38688600 | DOI:10.21873/invivo.13576

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Reinvestigating the Correctness of Decoy-Based False Discovery Rate Control in Proteomics Tandem Mass Spectrometry

J Proteome Res. 2024 Apr 30. doi: 10.1021/acs.jproteome.3c00902. Online ahead of print.

ABSTRACT

Traditional database search methods for the analysis of bottom-up proteomics tandem mass spectrometry (MS/MS) data are limited in their ability to detect peptides with post-translational modifications (PTMs). Recently, “open modification” database search strategies, in which the requirement that the mass of the database peptide closely matches the observed precursor mass is relaxed, have become popular as ways to find a wider variety of types of PTMs. Indeed, in one study, Kong et al. reported that the open modification search tool MSFragger can achieve higher statistical power to detect peptides than a traditional “narrow window” database search. We investigated this claim empirically and, in the process, uncovered a potential general problem with false discovery rate (FDR) control in the machine learning postprocessors Percolator and PeptideProphet. This problem might have contributed to Kong et al.‘s report that their empirical results suggest that false discovery (FDR) control in the narrow window setting might generally be compromised. Indeed, reanalyzing the same data while using a more standard form of target-decoy competition-based FDR control, we found that, after accounting for chimeric spectra as well as for the inherent difference in the number of candidates in open and narrow searches, the data does not provide sufficient evidence that FDR control in proteomics MS/MS database search is inherently problematic.

PMID:38687997 | DOI:10.1021/acs.jproteome.3c00902

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COVID-19 Vaccine Hesitancy: Umbrella Review of Systematic Reviews and Meta-Analysis

JMIR Public Health Surveill. 2024 Apr 30;10:e54769. doi: 10.2196/54769.

ABSTRACT

BACKGROUND: The unprecedented emergence of the COVID-19 pandemic necessitated the development and global distribution of vaccines, making the understanding of global vaccine acceptance and hesitancy crucial to overcoming barriers to vaccination and achieving widespread immunization.

OBJECTIVE: This umbrella review synthesizes findings from systematic reviews and meta-analyses to provide insights into global perceptions on COVID-19 vaccine acceptance and hesitancy across diverse populations and regions.

METHODS: We conducted a literature search across major databases to identify systematic reviews and meta-analysis that reported COVID-19 vaccine acceptance and hesitancy. The AMSTAR-2 (A Measurement Tool to Assess Systematic Reviews) criteria were used to assess the methodological quality of included systematic reviews. Meta-analysis was performed using STATA 17 with a random effect model. The data synthesis is presented in a table format and via a narrative.

RESULTS: Our inclusion criteria were met by 78 meta-analyses published between 2021 and 2023. Our analysis revealed a moderate vaccine acceptance rate of 63% (95% CI 0.60%-0.67%) in the general population, with significant heterogeneity (I2 = 97.59%). Higher acceptance rates were observed among health care workers and individuals with chronic diseases, at 64% (95% CI 0.57%-0.71%) and 69% (95% CI 0.61%-0.76%), respectively. However, lower acceptance was noted among pregnant women, at 48% (95% CI 0.42%-0.53%), and parents consenting for their children, at 61.29% (95% CI 0.56%-0.67%). The pooled vaccine hesitancy rate was 32% (95% CI 0.25%-0.39%) in the general population. The quality assessment revealed 19 high-quality, 38 moderate-quality, 15 low-quality, and 6 critically low-quality meta-analyses.

CONCLUSIONS: This review revealed the presence of vaccine hesitancy globally, emphasizing the necessity for population-specific, culturally sensitive interventions and clear, credible information dissemination to foster vaccine acceptance. The observed disparities accentuate the need for continuous research to understand evolving vaccine perceptions and to address the unique concerns and needs of diverse populations, thereby aiding in the formulation of effective and inclusive vaccination strategies.

TRIAL REGISTRATION: PROSPERO CRD42023468363; https://tinyurl.com/2p9kv9cr.

PMID:38687992 | DOI:10.2196/54769

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Community-Dwelling Older Adults’ Readiness for Adopting Digital Health Technologies: Cross-Sectional Survey Study

JMIR Form Res. 2024 Apr 30;8:e54120. doi: 10.2196/54120.

ABSTRACT

BACKGROUND: Digital health technologies offer the potential to improve the daily lives of older adults, maintain their health efficiently, and allow aging in place. Despite increasing evidence of benefits and advantages, readiness for adopting digital interventions among older people remains underexplored.

OBJECTIVE: This study aims to explore the relationships between sociodemographic-, health-, and lifestyle-related factors and technology use in everyday life and community-dwelling older adults’ readiness to adopt telemedicine, smartphones with texting apps, wearables, and robotics.

METHODS: This was a cross-sectional, population-based survey study with a stratified probabilistic sample of adults aged 75 years or older living in South Tyrol (autonomous province of Bolzano/Bozen, Italy). A random sample of 3600 community-dwelling older adults living at home was invited to complete a questionnaire including single items (older adults’ readiness to use health technology) and scales (PRISMA-7; Program of Research on Integration of Services for the Maintenance of Autonomy). Descriptive and logistic regression analyses were performed to analyze the data.

RESULTS: In total, 1695 community-dwelling older adults completed the survey (for a response rate of 47%). In terms of potential digital health technology adoption, wearable devices were favored by 33.7% (n=571), telemedicine by 30.1% (n=510), smartphones and texting apps by 24.5% (n=416), and assistant robots by 13.7% (n=232). Sociodemographic-, health- and lifestyle-related factors, as well as the use of technology in everyday life, played a significant role in explaining readiness to adopt digital health technologies. For telemedicine, age ≥85 years (odds ratio [OR] 0.74, 95% CI 0.56-0.96), financial constraints (OR 0.68, 95% CI 0.49-0.95), and less than 2 hours of physical activity per week (OR 0.75, 95% CI 0.58-0.98) were associated with nonreadiness, while Italian-speaking participants (OR 1.54, 95% CI 1.16-2.05) and those regularly using computers (OR 1.74, 95% CI 1.16-2.60), smartphones (OR 1.69, 95% CI 1.22-2.35), and the internet (OR 2.26, 95% CI 1.47-3.49) reported readiness for adoption.

CONCLUSIONS: Community-dwelling older adults display varied readiness toward the adoption of digital health technologies, influenced by age, mother tongue, living situation, financial resources, physical activity, and current use of technology. The findings underscore the need for tailored interventions and educational programs to boost digital health technology adoption among community-dwelling older adults.

PMID:38687989 | DOI:10.2196/54120

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Image-guided navigation in posterior orbital tumour surgery: a comparative cohort study

Orbit. 2024 Apr 30:1-10. doi: 10.1080/01676830.2024.2343299. Online ahead of print.

ABSTRACT

PURPOSE: The posterior orbit is a confined space, harbouring neurovascular structures, frequently distorted by tumours. Image-guided navigation (IGN) has the potential to allow accurate localisation of these lesions and structures, reducing collateral damage whilst achieving surgical objectives.

METHODS: We assessed the feasibility, effectiveness and safety of using an electromagnetic IGN for posterior orbital tumour surgery via a comparative cohort study. Outcomes from cases performed with IGN were compared with a retrospective cohort of similar cases performed without IGN, presenting a descriptive and statistical comparative analysis.

RESULTS: Both groups were similar in mean age, gender and tumour characteristics. IGN set-up and registration were consistently achieved without significant workflow disruption. In the IGN group, fewer lateral orbitotomies (6.7% IGN, 46% non-IGN), and more transcutaneous lid and transconjunctival incisions (93% IGN, 53% non-IGN) were performed (p = .009). The surgical objective was achieved in 100% of IGN cases, with no need for revision surgery (vs 23% revision surgery in non-IGN, p = .005). There was no statistically significant difference in surgical complications.

CONCLUSION: The use of IGN was feasible and integrated into the orbital surgery workflow to achieve surgical objectives more consistently and allowed the use of minimal access approaches. Future multicentre comparative studies are needed to explore the potential of this technology further.

PMID:38687963 | DOI:10.1080/01676830.2024.2343299

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Evaluation of stromal myofibroblasts in oral submucous fibrosis and its malignant transformation: An immunohistochemical study

J Cancer Res Ther. 2024 Apr 1;20(2):706-711. doi: 10.4103/jcrt.jcrt_498_23. Epub 2024 Apr 30.

ABSTRACT

BACKGROUND: Oral submucous fibrosis (OSF) is a precancerous lesion, with oral squamous cell carcinoma (OSCC) being the most prevalent malignancy affecting the oral mucosa. The malignant transformation of OSF into OSCC is estimated to occur in 7-13% of cases. Myofibroblasts (MFs) play pivotal roles in both physiological and pathological processes, such as wound healing and tumorigenesis, respectively. This study aimed to explore the involvement of MFs in the progression of OSF and its malignant transformation.

MATERIALS AND METHODS: In total, 94 formalin-fixed paraffin-embedded tissue blocks were collected, including normal oral mucosa (NOM; n = 10), early-moderate OSF (EMOSF; n = 29), advanced OSF (AOSF; n = 29), paracancerous OSF (POSF; n = 21), and OSCC (n = 5) samples. Alpha-smooth muscle actin was used for the immunohistochemical identification of MFs.

RESULTS: NOM exhibited infrequent expression of MFs. A higher staining index of MFs was found in AOSF, followed by EMOSF and NOM. Additionally, a significant increase in the staining index of MFs was found from EMOSF to POSF and OSCC. The staining index of MFs in NOM, EMOSF, AOSF, POSF, and OSCC was 0.14 ± 0.2, 1.69 ± 1.4, 2.47 ± 1.2, 3.57 ± 2.6, and 8.86 ± 1.4, respectively. All results were statistically significant (P < 0.05).

CONCLUSIONS: The expression of MFs exhibited a gradual increase as the disease progressed from mild to malignant transformation, indicating the contributory role of MFs in the fibrogenesis and potential tumorigenesis associated with OSF.

PMID:38687943 | DOI:10.4103/jcrt.jcrt_498_23