Tag: pubmed

BMC Med Res Methodol. 2024 Feb 17;24(1):44. doi: 10.1186/s12874-024-02159-9.

ABSTRACT

BACKGROUND: The residual life of a patient with human immunodeficiency virus (HIV) is of major interest to patients and their physicians. While existing analyses of HIV patient survival focus mostly on data collected at baseline, residual life analysis allows for dynamic analysis based on additional data collected over a period of time. As survival times typically exhibit a right-skewed distribution, the median provides a more useful summary of the underlying distribution than the mean. In this paper, we propose an efficient inference procedure that fits a semiparametric quantile regression model assessing the effect of longitudinal biomarkers on the residual life of HIV patients until the development of dyslipidemia, a disease becoming more prevalent among those with HIV.

METHODS: For estimation of model parameters, we propose an induced smoothing method that smooths nonsmooth estimating functions based on check functions. For variance estimation, we propose an efficient resampling-based estimator. The proposed estimators are theoretically justified. Simulation studies are used to evaluate their finite sample performances, including their prediction accuracy. We analyze the Korea HIV/AIDS cohort study data to examine the effects of CD4 (cluster of differentiation 4) cell count on the residual life of HIV patients to the onset of dyslipidemia.

RESULTS: The proposed estimator is shown to be consistent and normally distributed asymptotically. Under various simulation settings, our estimates are approximately unbiased. Their variances estimates are close to the empirical variances and their computational efficiency is superior to that of the nonsmooth counterparts. Two measures of prediction performance indicate that our method adequately reflects the dynamic character of longitudinal biomarkers and residual life. The analysis of the Korea HIV/AIDS cohort study data shows that CD4 cell count is positively associated with residual life to the onset of dyslipidemia but the effect is not statistically significant.

CONCLUSIONS: Our method enables direct prediction of residual lifetimes with a dynamic feature that accommodates data accumulated at different times. Our estimator significantly improves computational efficiency in variance estimation compared to the existing nonsmooth estimator. Analysis of the HIV/AIDS cohort study data reveals dynamic effects of CD4 cell count on the residual life to the onset of dyslipidemia.

PMID:38368350 | DOI:10.1186/s12874-024-02159-9

BMC Geriatr. 2024 Feb 17;24(1):168. doi: 10.1186/s12877-024-04758-z.

ABSTRACT

BACKGROUND: Observational studies have suggested that sedentary behaviors and sleep status are associated with frailty. However, it remains unclear whether these associations are causal.

METHODS: Using summary statistics from genome-wide association studies, we evaluated the causal effect of modifiable risk factors, including leisure sedentary behaviors and sleep status on the frailty index (FI) using two-sample univariable and multivariable Mendelian randomization (MR) analyses. Genetic correlations were tested between the correlated traits.

RESULTS: We identified potential causal associations between the time spent watching television (β = 0.26, 95% confidence interval [CI]: 0.21-0.31, P = 3.98e-25), sleep duration (β = -0.18, 95%CI: -0.26, -0.10; P = 6.04e-06), and daytime napping (β = 0.29, 95%CI: 0.18-0.41, P = 2.68e-07) and the FI based on the inverse-variance-weighted method. The estimates were consistent across robust and multivariate MR analyses. Linkage disequilibrium score regression detected a genetic correlation between the time spent watching television (Rg = 0.43, P = 6.46e-48), sleep duration (Rg = -0.20, P = 5.29e-10), and daytime napping (Rg = 0.25, P = 3.34e-21) and the FI.

CONCLUSIONS: Genetic predispositions to time spent watching television and daytime napping were positively associated with the FI, while sleep duration was negatively associated with the FI. Our findings offer key insights into factors influencing biological aging and suggest areas for interventions to promote healthy aging and slow down the aging process.

PMID:38368347 | DOI:10.1186/s12877-024-04758-z

BMC Med Ethics. 2024 Feb 17;25(1):18. doi: 10.1186/s12910-024-01008-0.

ABSTRACT

AIMS: To examine the understanding of the ethical dilemmas associated with Big Data and artificial intelligence (AI) among Jordanian medical students, physicians in training, and senior practitioners.

METHODS: We implemented a literature-validated questionnaire to examine the knowledge, attitudes, and practices of the target population during the period between April and August 2023. Themes of ethical debate included privacy breaches, consent, ownership, augmented biases, epistemology, and accountability. Participants’ responses were showcased using descriptive statistics and compared between groups using t-test or ANOVA.

RESULTS: We included 466 participants. The greater majority of respondents were interns and residents (50.2%), followed by medical students (38.0%). Most participants were affiliated with university institutions (62.4%). In terms of privacy, participants acknowledged that Big Data and AI were susceptible to privacy breaches (39.3%); however, 59.0% found such breaches justifiable under certain conditions. For ethical debacles involving informed consent, 41.6% and 44.6% were aware that obtaining informed consent posed an ethical limitation in Big Data and AI applications and denounced the concept of “broad consent”, respectively. In terms of ownership, 49.6% acknowledged that data cannot be owned yet accepted that institutions could hold a quasi-control of such data (59.0%). Less than 50% of participants were aware of Big Data and AI’s abilities to augment or create new biases in healthcare. Furthermore, participants agreed that researchers, institutions, and legislative bodies were responsible for ensuring the ethical implementation of Big Data and AI. Finally, while demonstrating limited experience with using such technology, participants generally had positive views of the role of Big Data and AI in complementing healthcare.

CONCLUSION: Jordanian medical students, physicians in training and senior practitioners have limited awareness of the ethical risks associated with Big Data and AI. Institutions are responsible for raising awareness, especially with the upsurge of such technology.

PMID:38368332 | DOI:10.1186/s12910-024-01008-0

BMC Womens Health. 2024 Feb 17;24(1):127. doi: 10.1186/s12905-023-02845-8.

ABSTRACT

BACKGROUND: During the coronavirus pandemic, people faced strict preventive measures, including staying at home and maintaining social distance, which led to increasing rates of intimate partner violence. Women have been facing dual health emergencies, including COVID-19 and domestic violence. Despite this, there is a lack of representative data on intimate partner violence during the COVID-19 pandemic and inconsistent findings.

METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were used to develop the systematic review and meta-analysis. All English-language studies conducted between 31 December 2019 and May 15/2022 were extracted from databases such as PubMed/Medline, CINAHL, and Google Scholar. The quality of the articles was assessed using the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI). The I² was used to assess heterogeneity among studies. Publication bias was assessed using funnel plot inspection and Egger’s test. A random effect model was used for the analysis using RevMan and STATA 14 software.

RESULT: A total of 5065 studies were retrieved, and 14 studies were included in the final meta-analysis. The pooled prevalence of intimate partner violence was 31% (95% CI: 22, 40). Subgroup analysis based on region showed that the highest prevalence of intimate partner violence was in developing regions (33, 95% CI: 23.0, 43.0) compared to developed regions (14, 95% CI: 11.0, 17.0). Subgroup analysis based on country showed that Uganda had the highest prevalence of IPV 68% (95% CI: 62.0, 72.0), and the lowest was in the USA 10% (95% CI: 7.0, 15.0).

CONCLUSION: Nearly one in three women experienced intimate partner violence during the COVID-19 pandemic. Subgroup analysis based on region showed that the highest prevalence of intimate partner violence was in developing regions (33%). All forms of intimate partner violence (physical, sexual, emotional, and economic) were prevalent. Thus, available interventions should be implemented to alleviate women’s intimate partner violence during the COVID-19 pandemic and similar emerging and remerging pandemics, particularly in developing countries.

TRIAL REGISTRATION: PROSPERO registration number: CRD42022334613 .

PMID:38368323 | DOI:10.1186/s12905-023-02845-8

BMC Public Health. 2024 Feb 17;24(1):510. doi: 10.1186/s12889-024-18002-1.

ABSTRACT

BACKGROUND: Women who are sexually active are at risk of sexually transmitted infections (STIs), which can cause serious difficulties for their reproductive health. However, despite the high global burden of STIs, most infections are preventable with education for behavioral change. The purpose of this study is to investigate the Efficacy of Mobile-Based Educational Intervention Using Instructional Systems Design in Promoting Preventive Behaviors for Sexually Transmitted Infections among Iranian Women.

METHODS: This randomized controlled trial aimed at promoting preventive behaviors related to STIs in Iranian women with an educational intervention based on the Instructional Systems Design (ISD) in 2022. The participants in this study were recruited from a single center, specifically the Health House No. 3 located in District 11 of Tehran Municipality. Two instruments were used in the present study: a) a valid scale titled: “Four-Scale of STI Preventive Behaviors”, and b) a researcher-made Questionnaire titled: “Social perception affecting sexually transmitted infections (SOPESTI)”. These tools contain 8 demographic items and specific questions with a total of 68 five-point Likert scales. The intervention comprised three phases: a pre-test (baseline), a training program, and two follow-up assessments (4 and 12 weeks after the start of the training program). The experimental group received education through a mobile app, while the control group received no intervention. SPSS v.26 was used, with a significance level of P < 0.05. The chi-square test, Fisher’s exact test, independent t-tests, analysis of covariance (ANCOVA), and repeated measures ANOVA were used to analyze the data.

RESULTS: A total of 80 women, with a mean age of 36.524 ± 6.91 (experiment group) and 34.78 ± 8.20 (control group), respectively, participated in the trial. The study revealed a statistically significant difference in the mean score for eight domains, including STIs Knowledge, STIs Vulnerability, STIs Preventive Self-efficacy, STIs Prevention intentions, STIs Perceived social exclusion, STIs Perceived cognitive barriers, STIs Perceived social support, and STIs Perceived risks in the experiment group following the intervention compared to before the intervention (p < 0.05).

CONCLUSION: The results of this study showed that a mobile-based educational intervention based on the ISD model had a significant effect on the preventive behaviors of STIs in Iranian women. These results highlight the potential benefit of mobile health in enhancing reproductive health.

TRIAL REGISTRATION: ClinicalTrials.gov IRCT20200602047638N1. Registered on 22 May 2021 with the IRCTID, V1.0. https://www.irct.ir/trial/55632.

PMID:38368322 | DOI:10.1186/s12889-024-18002-1

BMC Pregnancy Childbirth. 2024 Feb 17;24(1):142. doi: 10.1186/s12884-024-06317-1.

ABSTRACT

BACKGROUND: Breastfeeding is vitally important for the health of the mother, baby, family and society. Especially the perception of breastfeeding self-efficacy of primiparous pregnant women is an important factor in breastfeeding. This study was conducted to determine the effects of online video-supported breastfeeding education on breastfeeding self-efficacy in primiparous pregnant women.

METHODS: This randomized controlled study was conducted with primiparous pregnant women admitted to a university hospital in northern Turkey. The study involved 80 pregnant women, with 40 assigned to the experimental group and 40 to the control group. Participants in the intervention group received online video-assisted education, which covered the first meeting of the mother and baby as well as the initial breastfeeding session. The data for the breastfeeding self-efficacy scale were gathered at the onset of the study and three weeks later. In data analysis, categorical variables were assessed using the chi-square test, continuous variables and intergroup comparisons were conducted through the independent sample t-test, and intragroup comparisons were performed using the paired sample t-test.

RESULTS: While the baseline breastfeeding self-efficacy levels of the primiparous pregnant women were similar between the groups, statistically significant differences were observed both within (p = 0.000) and between (p = 0.000) groups in the breastfeeding self-efficacy scores of pregnant women in the intervention group after the education intervention.

CONCLUSION: Breastfeeding self-efficacy levels in the education group showed a statistically significant increase compared to both the pre-education and control groups. This highlights the importance of nurses providing support to primiparous pregnant women through video-assisted education during pregnancy to enhance breastfeeding self-efficacy.

TRIAL REGISTRATION: ClinicalTrials.gov: NCT06121973 date of first registration (27/10/2023), retrospectively registered (08/11/2023).

PMID:38368316 | DOI:10.1186/s12884-024-06317-1

Oncologist. 2024 Feb 16:oyae021. doi: 10.1093/oncolo/oyae021. Online ahead of print.

ABSTRACT

BACKGROUND: As a newly identified subtype of HER2-negative tumors associated with a less favorable prognosis, it remains crucial to evaluate potential prognostic and predictive factors, particularly non-invasive biomarkers, for individuals with human epidermal growth factor 2 (HER2) low early-stage breast cancer (EBC). Multiple investigations have highlighted that HER2-negative patients with EBC exhibiting high homologous recombination deficiency (HRD) scores display lower rates of pathological complete response (PCR) to neoadjuvant chemotherapy (NAC). Nevertheless, no study to date has explored the correlation between HRD and the long-term prognosis in HER2-low patients with EBC.

PATIENTS AND METHODS: This retrospective observational study focuses on primary EBC sourced from The Cancer Genome Atlas dataset (TCGA). It reveals the gene mutation landscape in EBC with low HER2 expression and elucidates the tumor immune landscape across different HRD states. Utilizing bioinformatics analysis and Cox proportional models, along with the Kaplan-Meier method, the study assesses the correlation between HRD status and disease-specific survival (DSS), disease-free interval (DFI), and progression-free interval (PFI). Subgroup analyses were conducted to identify potential variations in the association between HRD and prognosis.

RESULTS: In the patients with HER2-low breast cancer, patients with homologous recombination related genes (HRRGs) defects had an HRD score about twice that of those without related genes mutations, and were at higher risk of acquiring ARID1A, ATM, and BRCA2 mutations. We also found that most immune cell abundances were significantly higher in EBC tumors with high HRD than in EBC tumors with low HRD or HRD-medium, particularly plasma B-cell abundance, CD8 T-cell abundance, and M1 macrophages. In addition, these tumors with HRD-high also appear to have significantly higher tumor immune scores and lower interstitial scores. Then, we analyzed the relationship between different HRD status and prognosis. There was statistical significance (P = .036 and P = .046, respectively) in DSS and PFI between the HRD-low and HRD-high groups, and patients with HRD-high EBC showed relatively poor survival outcomes. A medium HRD score (hazard ratio, HR = 2.15, 95% CI: 1.04-4.41, P = .038) was a significant risk factor for PFI. Hormone receptor positivity is an important factor in obtaining medium-high HRD score and poor prognosis.

CONCLUSION: Higher HRD scores were associated with poorer PFI outcomes, particularly in people with HR+/HER2-low. Varied HRD states exhibited distinctions in HRRGs and the tumor immune landscape. These insights have the potential to assist clinicians in promptly identifying high-risk groups and tailoring personalized treatments for patients with HER2-low EBC, aiming to enhance long-term outcomes.

PMID:38366907 | DOI:10.1093/oncolo/oyae021

Aesthet Surg J. 2024 Feb 16:sjae026. doi: 10.1093/asj/sjae026. Online ahead of print.

ABSTRACT

Liposuction is considered one of the most common procedures in plastic surgery. However, major postoperative complications such as visceral injury, fluid overload, and necrotizing fasciitis still occur. Likewise, minor complications such as ecchymosis, seromas, infections, and contour irregularities that do not threaten the life of the patient do generate significant dissatisfaction. Current evidence regarding the management of fibrosis after previous liposuction remains limited. The objective of this article is to standardize a management algorithm based on the extensive experience and successful results of the primary author. Patients who underwent secondary liposculpture between August 2022 and May 2023 were evaluated prospectively. Inclusion criteria: Women between 18 and 60 years, non-smokers, with a body mass index (BMI) <35 kg/m2, history of previous body contouring surgeries. Identification of the patient’s skin condition and subcutaneous lesions in the adipose tissue were obtained in detail. Statistical analysis of preoperative and postoperative medical photographs was also performed with Fiji Biological image analyzer. Photographic analysis showed a statistically significant difference between the areas affected by fibrosis from the preoperative photos compared to that from the postoperative ones (p<.001). The most frequent clinical findings were depressions in 99% of the women (74), followed by soft nodules in 95% (70), hard nodules in 81% (61), adherences in 47% (35), and finally, cutaneous bursas in 4%. Our classification system and management algorithm for fibrosis and contour irregularities is a safe and reliable tool and results were objectively verified, yielding statistically significant outcomes.

PMID:38366902 | DOI:10.1093/asj/sjae026

Ann Work Expo Health. 2024 Feb 16:wxae005. doi: 10.1093/annweh/wxae005. Online ahead of print.

ABSTRACT

OBJECTIVE: Ensuring proper respirator fit for individuals remains a persistent challenge in occupational environments, yet there is limited knowledge about how respirators interact with the face to “‘fit.” Previous studies have attempted to understand the association between face dimensions and respirator fit using traditional head/face anthropometry not specifically tailored for respirators. The purpose of this study was to assess and compare the ability of filtering facepiece respirator (FFR)-specific face anthropometry with traditional head/face anthropometry in exploring the relationship between facial dimensions and the fit of FFR.

METHODS: The study utilized 3D face scans and quantitative fit factor scores from 56 participants to investigate the relationship between face anthropometry and FFR fit. Both FFR-specific and traditional anthropometric measurements were obtained through 3D anthropometric software. Intra-correlation of anthropometry was analyzed to evaluate the efficiency and effectiveness of FFR-specific and traditional anthropometry respectively. Principal component analysis (PCA) was conducted to test the usefulness of the PCA method for investigating various facial features. Logistic regression was used to develop fit association models by estimating the relationship between each face measurement set and the binary outcome of the fit test result. The prediction accuracy of the developed regression models was tested.

RESULTS: FFR-specific face anthropometry consists of a set of measurements that can inform the detailed facial shape associated with the FFRs more effectively than traditional head/face anthropometry. While PCA may have been effective in reducing the variable dimensions for the relatively large parts of the human body such as upper and lower bodies in previous literature, PCA results of FFR-specific and traditional anthropometry were inconsistent and insufficient to describe face dimensions with complex anatomy in a small-detailed area, suggesting that facial shape should be understood through a variety of approaches including statistical methods. Logistic regression analysis results confirmed that the association models of FFR-specific face anthropometry were significant with higher prediction accuracy and had a better model’s goodness of fit than those of traditional head/face anthropometry in 3 conditions inputting all measurements, all PC scores, or top 5 measurements from PCA.

CONCLUSIONS: The findings showed that the FFR fit association model enables an understanding of the detailed association between face and respirator fit and allows for the development of a system to predict respirator fit success or failure based on facial dimensions. Future research would include testing the validity of the model and FFR-specific measurement set on different respirator types, expanding the population set, and developing an integrated approach using automated and machine learning technologies to inform FFR selection for occupation workers and the general population.

PMID:38366891 | DOI:10.1093/annweh/wxae005

Phys Ther. 2024 Feb 16:pzae019. doi: 10.1093/ptj/pzae019. Online ahead of print.

ABSTRACT

OBJECTIVE: The objective of this study was to evaluate the efficacy of electrotherapy and manual therapy for the treatment of women with primary dysmenorrhea.

METHODS: Systematic searches were conducted in Scopus, Web of Science, PubMed, CINAHL, and MEDLINE. The articles must have been published in the last 10 years, had a sample exclusively of women with primary dysmenorrhea, had a randomized controlled trial design, and used interventions that included some form of manual therapy and/or electrotherapy techniques. Two reviewers independently screened articles for eligibility and extracted data. Difference in mean differences and their 95% CIs were calculated as the between-group difference in means divided by the pooled standard deviation. The I2 statistic was used to determine the degree of heterogeneity.

RESULTS: Twelve selected studies evaluated interventions, with 5 evaluating electrotherapy techniques and 7 evaluating manual therapy techniques. All studies analyzed identified improvements in pain intensity and meta-analysis confirmed their strong effect.

CONCLUSIONS: Manual therapy and electrotherapy are effective for the treatment of women with primary dysmenorrhea. Transcutaneous electrical nerve stimulation combined with thermotherapy and effleurage massage stands out for its effects on the intensity and duration of pain with the application of a few sessions and their long-term effects.

IMPACT: Manual therapy techniques and electrotherapy methods reduce the pain intensity of women with primary dysmenorrhea. Quality of life and degree of anxiety improved significantly with manual therapy interventions. Transcutaneous electrical nerve stimulation combined with thermotherapy and effleurage massage are the interventions with which positive effects were achieved with fewer sessions.

PMID:38366860 | DOI:10.1093/ptj/pzae019