Category: Nevin Manimala

BMC Health Serv Res. 2025 Jan 13;25(1):66. doi: 10.1186/s12913-025-12214-w.

ABSTRACT

Health service policies are evolving into qualified health care providing best possible outcomes as well as focused on patient satisfaction. Hence the qualification valued health care includes patient satisfaction measurements, it is suggested to get feedbacks during the assessment of outcomes from the patient’s perspective. Aging of the world population accelerates demand on rehabilitation medicine which means recovering impairments so is directly related with quality of life. This study measures the patient satisfaction among 286 patients referring to outpatient clinics and receiving therapy within Physical Medicine and Rehabilitation Unit of City Hospital in Balikesir, Turkey. Results showed 63.4 ± 2.6 years mean of age and female majority (63.6%). Region of therapy included 9.8% for total body, plegic syndromes, 19.6% for neck, 25.2% for shoulder, 21.6% for knee and 23.8% for lumbar regions. Patients are grouped in two according to ‘yes’ or ‘no’ answer of the question ‘Do you agree with you have benefit from applied treatment, does the treatment met your expectations?’. 274 patients (95.8%) were agree with therapy met their expectations. Article discusses one of the valid patient satisfaction questionnaire as evidence based outcome measures. In divisions the means of query scores were 3.9 for technical quality, 4.2 for communication with therapist, 3.6 for physical comfort, 3.9 for communication with secretary, 4.1 for communication with doctor, 3.5 for accessibility and 3.5 for cleanliness. Comparison of means among groups did not seem statistically significant as result of Mann-Whitney U test, p > 0.05. In conclusion in the context of qualified health service providing, it is essential to get feedback from health care receivers to measure satisfaction and this needs improvement of generally valid questionnairres. Improved communication and greater provider sensitivity towards patients can enhance patient satisfaction resulting as meeting the expectation.

PMID:39806434 | DOI:10.1186/s12913-025-12214-w

Cancer Treat Rev. 2025 Jan 6;133:102882. doi: 10.1016/j.ctrv.2025.102882. Online ahead of print.

ABSTRACT

BACKGROUND: Trastuzumab deruxtecan (T-DXd) has shown promising activity in patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer (BC) and central nervous system (CNS) involvement. In this updated meta-analysis, we explore the effectiveness of T-DXd in a large subset of patients with HER2-positive BC and CNS disease.

METHODS: A systematic search was made on September 16th, 2024, for studies investigating T-DXd in the scenario of HER2-positive BC and brain metastases (BMs) and/or leptomeningeal disease (LMD). We used random effects models for all statistical analyses.

RESULTS: We included 18 studies with 786 HER2-positive BC patients with CNS involvement (16 studies with 750 BMs patients and three studies with 36 LMD patients). We observed high overall antitumor responses (objective response rate [ORR], 60.4 %; disease control rate [DCR], 94.4 %; and clinical benefit rate [CBR], 79.3 %) and a 12-month PFS of 64.7 % and OS of 82.7 %. Intracranial ORR, DCR, and CBR were seen in 62.2 %, 88.6 %, and 68.6 % of patients, respectively, and 67.4 % achieved intracranial PFS at 12 months. Both stable and active BMs subgroups derived similar benefit from T-DXd. Better intracranial responses were seen for 33 patients with untreated BMs compared to 56 patients with previously treated or progressing lesions (odds ratio 3.82, 95 % confidence interval 1.3-10.8, p = 0.01). For the LMD group, T-DXd elicited intracranial ORR and CBR in 59.4 % and 94.1 % of patients, respectively.

CONCLUSIONS: This updated meta-analysis continues to support the overall and intracranial activity of T-DXd in patients with HER2-positive BC and CNS involvement, including those with LMD.

PMID:39805165 | DOI:10.1016/j.ctrv.2025.102882

Clin Neuropharmacol. 2025 Jan-Feb 01;48(1):7-12. doi: 10.1097/WNF.0000000000000620.

ABSTRACT

INTRODUCTION: Adjunctive therapies to treat OFF episodes resulting from long-term levodopa treatment in Parkinson disease (PD) are hampered by safety and tolerability issues. Istradefylline offers an alternative mechanism (adenosine A2A receptor antagonist) and therefore potentially improved tolerability.

METHODS: A systematic review of PD adjuncts published in 2011 was updated to include randomized controlled trials published from January 1, 2010-April 15, 2019. Pairwise meta-analyses were updated, and Bucher indirect comparisons were used to generate estimates of relative safety, presented as odds ratio (OR) and 95% confidence interval (CI) for comparators versus istradefylline.

RESULTS: Fifty-seven randomized controlled trials involving 11,517 patients were included in the meta-analysis. Relative to istradefylline, dopamine agonists and catechol-O-methyl transferase (COMT) inhibitors had statistically significant higher odds of dyskinesia and somnolence. Monoamine oxidase-B inhibitors had significantly higher odds of hypotension. Amantadine extended-release (ER) had statistically significant higher odds of hallucination, orthostatic hypotension, insomnia, and withdrawals due to adverse events. All interventions combined had significantly higher odds of dyskinesia versus istradefylline 20 mg and somnolence versus istradefylline 40 mg. Considering overall incidence of adverse events, COMT inhibitors and amantadine ER had statistically significant higher odds versus both istradefylline doses (COMT versus istradefylline 40 mg, OR: 1.33; 95% CI: 1.03, 1.75; versus istradefylline 20 mg, OR: 1.32; 95% CI: 1.01, 1.72; amantadine ER versus istradefylline 40 mg, OR: 3.45; 95% CI: 1.85, 6.25; versus istradefylline 20 mg, OR: 3.33; 95% CI: 1.82, 6.25).

CONCLUSION: Istradefylline was associated with a generally favorable safety profile relative to other adjunct medications in this study.

PMID:39805118 | DOI:10.1097/WNF.0000000000000620

J Neuroophthalmol. 2024 Nov 14. doi: 10.1097/WNO.0000000000002294. Online ahead of print.

ABSTRACT

BACKGROUND: Autosomal Dominant Optic Atrophy (ADOA) is a hereditary optic neuropathy characterized by retinal ganglion cell degeneration and optic nerve fiber loss. This study examined the correlation between clinical and structural parameters in patients with ADOA using optical coherence tomography (OCT) and explored potential clinical biomarkers.

METHODS: A cross-sectional, case-control observational study included 27 patients with ADOA and 27 age- and sex-matched healthy controls. Clinical examinations, OCT imaging, and OCT angiography (OCTA) were performed. Statistical analyses were conducted to establish correlations between clinical and OCT parameters.

RESULTS: Patients with ADOA exhibited gradual bilateral vision loss, central scotomas, and optic disc pallor. Structural OCT analysis revealed significant reductions in central macular thickness, macular volume, ganglion cell complex (GCC), and peripapillary retinal nerve fiber layer compared with controls. Correlation analysis demonstrated associations between worsening clinical parameters (best corrected visual acuity, Sloan Letters Low Contrast Chart 25%, Pseudoisochromatic Test) and increased OCT damage (structural and OCTA). GCC emerged, at least at exploratory terms, as the most important clinical biomarker in patients with ADOA given its multiple positive functional associations, while OCTA parameters correlated with visual field defects.

CONCLUSIONS: Our study revealed significant correlations between clinical and structural parameters in patients with ADOA, highlighting the importance of OCT in assessing disease severity. GCC measurement shows promise as a clinical biomarker, aiding in disease monitoring. OCTA parameters offer potential early biomarkers for vascular changes. These findings contribute to understanding ADOA pathophysiology and may improve patient diagnosis and management. Further research is warranted to validate these findings and explore potential therapeutic interventions.

PMID:39805076 | DOI:10.1097/WNO.0000000000002294

Clin Child Psychol Psychiatry. 2025 Jan 13:13591045251314906. doi: 10.1177/13591045251314906. Online ahead of print.

ABSTRACT

OBJECTIVE: Anxiety rates amongst autistic youth range from 11% to 84%. While Cognitive Behavioural Therapy (CBT) is an effective treatment of anxiety in neurotypical youth, there are concerns autistic youth lack the cognitive resources necessary to effectively engage with CBT. It is also unclear whether standard or adapted CBT is more effective. This review aims to compare the effects of standard and adapted CBT in the treatment of anxiety in autistic youth.

METHODS: Articles were searched across three online databases. 24 articles were selected for final review. All articles were published between 2008 and 2024. Total sample size was 1,140 and participant age ranged from 4-18 years. Various designs, settings, and CBT formats were incorporated.

RESULTS: When treating anxiety in autistic youth, standard CBT is effective although CBT adapted to accommodate the autism-related needs of the youth appears more effective, with gains maintained up to 26 months post-treatment. Statistical analysis was not significant.

CONCLUSIONS: Standard and adapted CBT are effective treatments of anxiety in autistic youth. To optimise outcomes, it may be important to consider the common cognitive styles associated with autism and adapt the therapeutic intervention accordingly. However, there is not yet statistical evidence for this hypothesis.

PMID:39805042 | DOI:10.1177/13591045251314906

Am J Speech Lang Pathol. 2025 Jan 13:1-33. doi: 10.1044/2024_AJSLP-24-00126. Online ahead of print.

ABSTRACT

PURPOSE: The aim of this study was to gauge the impacts of cognitive empathy training experiential learning on traumatic brain injury (TBI) knowledge, awareness, confidence, and empathy in a pilot study of speech-language pathology graduate students.

METHOD: A descriptive quasi-experimental convergent parallel mixed methods design intervention pilot study (QUAL + QUANT) was conducted with a diverse convenience sample of 19 first- and second-year speech-language pathology graduate students who engaged in a half-day TBI point-of-view simulation. The simulation was co-constructed through a participatory design with those living with TBI based on Kolb’s experiential learning model and followed the recommendations for point-of-view simulation ethics. After setting goals, participants engaged in four station activities completing cognitive communication activities of daily living, while experiencing manipulations to their sensory systems. Activities included reading while wearing goggles with blurred or double vision, listening with tinnitus and auditory processing disorder, and taking notes during a manipulated college lecture. Participants also interacted with an individual living with TBI and responded to targeted prompts throughout the day. Quantitative outcomes were measured using published TBI knowledge and empathy scales and analyzed with descriptive, parametric and nonparametric statistics, while qualitative data were analyzed through thematic analysis. Data were then triangulated through mixed methods. Mixed methods design quality was ensured by following the Mixed Methods Appraisal Tool (Hong et al., 2018).

RESULTS: After experiential learning, significant increases in speech-language pathologist (SLP) TBI knowledge, empathy, and awareness of TBI symptom and symptom impacts were found. Many, but not all, participants also reported changes in clinical confidence.

CONCLUSIONS: Cognitive empathy training using experiential learning appears to be a viable method to increase SLP knowledge, empathy, and symptom awareness for TBI clinical care. Future research should replicate the study with different types and locations of speech-language pathology graduate programs to consider TBI empathy training as a standard training method to improve both individual and provider outcomes.

PLAIN LANGUAGE SUMMARY: Individuals and families living with traumatic brain injury (TBI) say their providers lack necessary knowledge; do not seem to understand what living with TBI is like; and can be dismissive, uncaring, and lacking empathy. Health care providers do not automatically imagine the world from the patient’s perspectives, to “walk in another’s shoes”; it takes intentional effort and training. This project attempted to train those specific empathy skills for speech-language pathology graduate students through experiential learning. Experiential learning is a process where people engage in meaningful activities and spend lots of time reflecting on their experiences. Working with people living with TBI, we built a half-day workshop where 19 graduate students completed normal daily activities (such as texting, reading) through different stations that provided insights into what it may be like to have a TBI, such as wearing goggles to induce blurred or double vision, having ringing in their ears (tinnitus), and watching an overwhelming manipulated college video lecture. Afterward, participants listened to a person living with TBI and asked questions. This was important because engaging in activities without interacting with someone living with TBI misses a key idea about listening to and learning from individuals and families. We measured TBI knowledge, empathy, and confidence by looking at surveys pre- and posttraining and reading students’ written reflections. Participants reported significant changes in how they think about brain injury and how they will provide clinical care for people living with TBI in the future.

SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.28098254.

PMID:39804970 | DOI:10.1044/2024_AJSLP-24-00126

Environ Health Perspect. 2025 Jan;133(1):17003. doi: 10.1289/EHP13875. Epub 2025 Jan 13.

ABSTRACT

BACKGROUND: Coccidioidomycosis, caused by inhalation of Coccidioides spp. spores, is an emerging infectious disease that is increasing in incidence throughout the southwestern US. The pathogen is soil-dwelling, and spore dispersal and human exposure are thought to co-occur with airborne mineral dust exposures, yet fundamental exposure-response relationships have not been conclusively estimated.

OBJECTIVES: We estimated associations between fine mineral dust concentration and coccidioidomycosis incidence in California from 2000 to 2017 at the census tract level, spatiotemporal heterogeneity in exposure-response, and effect modification by antecedent climate conditions.

METHODS: We acquired monthly census tract-level coccidioidomycosis incidence data and modeled fine mineral dust concentrations from 2000 to 2017. We fitted zero-inflated distributed-lag nonlinear models to estimate overall exposure-lag-response relationships and identified factors contributing to heterogeneity in exposure-responses. Using a random-effects meta-analysis approach, we estimated county-specific and pooled exposure-responses for cumulative exposures.

RESULTS: We found a positive exposure-response relationship between cumulative fine mineral dust exposure in the 1-3 months before estimated disease onset and coccidioidomycosis incidence across the study region [incidence rate ratio (IRR) for an increase from 0.1 to 1.1 μg/m3=1.60; 95% CI: 1.46, 1.74]. Positive, supralinear associations were observed between incidence and modeled fine mineral dust exposures 1 [IRR=1.13 (95% CI: 1.10, 1.17)], 2 [IRR=1.15 (95% CI: 1.09, 1.20)] and 3 [IRR=1.08 (95% CI: 1.04, 1.12)] months before estimated disease onset, with the highest exposures being particularly associated. The cumulative exposure-response relationship varied significantly by county [lowest IRR, western Tulare: 1.05 (95% CI: 0.54, 2.07); highest IRR, San Luis Obispo: 3.01 (95% CI: 2.05, 4.42)]. Season of exposure and prior wet winter were modest effect modifiers.

DISCUSSION: Lagged exposures to fine mineral dust were strongly associated with coccidioidomycosis incidence in the endemic regions of California from 2000 to 2017. https://doi.org/10.1289/EHP13875.

PMID:39804964 | DOI:10.1289/EHP13875

PLoS Comput Biol. 2025 Jan 13;21(1):e1012143. doi: 10.1371/journal.pcbi.1012143. Online ahead of print.

ABSTRACT

High-dimensional mixed-effects models are an increasingly important form of regression in which the number of covariates rivals or exceeds the number of samples, which are collected in groups or clusters. The penalized likelihood approach to fitting these models relies on a coordinate descent algorithm that lacks guarantees of convergence to a global optimum. Here, we empirically study the behavior of this algorithm on simulated and real examples of three types of data that are common in modern biology: transcriptome, genome-wide association, and microbiome data. Our simulations provide new insights into the algorithm’s behavior in these settings, and, comparing the performance of two popular penalties, we demonstrate that the smoothly clipped absolute deviation (SCAD) penalty consistently outperforms the least absolute shrinkage and selection operator (LASSO) penalty in terms of both variable selection and estimation accuracy across omics data. To empower researchers in biology and other fields to fit models with the SCAD penalty, we implement the algorithm in a Julia package, HighDimMixedModels.jl.

PMID:39804942 | DOI:10.1371/journal.pcbi.1012143

PLoS One. 2025 Jan 13;20(1):e0315794. doi: 10.1371/journal.pone.0315794. eCollection 2025.

ABSTRACT

BACKGROUND: Sepsis is one of the leading causes of mortality and morbidity among neonates. An estimated 5.29-8.73 million Disability-adjusted life years (DALYs) are lost annually in SSA due to neonatal sepsis (NS). Uganda registered stagnated neonatal mortality of 27 deaths per 1000 live births in 2020 of which 12% was attributed to NS. Early risk factor identification and improved obstetric care are proven to reduce deaths due to NS, yet there is scanty literature on the LRRH. We, therefore, determined the prevalence of NS and identified its associated factors within the LRRH of northern Uganda.

METHODS: A hospital-based, cross-sectional study with a retrospective chart review was conducted in the neonatal intensive care unit (NICU) at Lira Regional Referral Hospital (LRRH), in northern Uganda. 194 records of neonates admitted to the NICU from September 2022 to February 2023 were reviewed. The participant records were selected by systematic sampling technique and a structured data extraction tool was used to collect data. Using SPSS version 25 data entry and analysis were done. The univariable analysis gave a general description of the data. Logistic regression analysis was used to show associations and the statistical significance was declared at a P value of 0.05 after multivariable analysis.

RESULTS: Among a total of 194 neonates whose charts were reviewed, 80 neonates had neonatal sepsis, giving a proportion of 0.412 and then prevalence of 41.2%. Age in days of the neonate (AOR = 4.212, 95% CI: [1.627-10.903]) for neonates of 1-3days of age, sex where males (AOR = 2.09, 95% CI: [1.123-3.887]), an APGAR score of 1-4 at birth (AOR = 0.309, 95% CI: [0.115-0.831]) and weight at birth <2500g (AOR = 2.543, 95% CI: [1.381-4.683]) were significantly related to it.

CONCLUSIONS AND RECOMMENDATIONS: The results found the prevalence of NS among neonates admitted to the NICU of LRRH high at 41.2%. Factors 1-3 days of age, male sex, a birth weight of <2500g, and an Apgar score of 1-4 at birth among all neonates were significant. Therefore, it was suggested that caregivers ensure safe newborn care, detect infections early, and use prophylactic antibiotics for high-risk babies after birth, to reduce NS. Further research will be conducted on the major causative agents and outcomes of NS in the NICU of LRRH.

PMID:39804938 | DOI:10.1371/journal.pone.0315794

PLOS Digit Health. 2025 Jan 13;4(1):e0000670. doi: 10.1371/journal.pdig.0000670. eCollection 2025 Jan.

ABSTRACT

Epidemiology and Public Health have increasingly relied on structured and unstructured data, collected inside and outside of typical health systems, to study, identify, and mitigate diseases at the population level. Focusing on infectious diseases, we review the state of Digital Epidemiology at the beginning of 2020 and how it changed after the COVID-19 pandemic, in both nature and breadth. We argue that Epidemiology’s progressive use of data generated outside of clinical and public health systems creates several technical challenges, particularly in carrying specific biases that are almost impossible to correct for a priori. Using a statistical perspective, we discuss how a definition of Digital Epidemiology that emphasizes “data-type” instead of “data-source,” may be more operationally useful, by clarifying key methodological differences and gaps. Therefore, we briefly describe some of the possible biases arising from varied collection methods and sources, and offer some recommendations to better explore the potential of Digital Epidemiology, particularly on how to help reduce inequity.

PMID:39804936 | DOI:10.1371/journal.pdig.0000670