Search Results (2,756)

High-need populations face substantive barriers to accessing primary care, leading to disproportionately poor health outcomes. This descriptive, observational study details the implementation of a Federally Qualified Health Center (FQHC) program designed to improve engagement in care and enabling services by leveraging mobile health units (MHUs) to provide comprehensive, low-barrier primary care services to residents who were previously unable or unwilling to engage with the traditional healthcare system. The program sought to overcome common access challenges such as lack of transportation, lack of insurance, and mistrust of healthcare institutions. We describe the operational framework of this program, examine the types of care delivered, and offer recommendations from the perspective of a large multi-site FQHC experienced in reengaging people back to the healthcare system but new to providing mobile health care. We describe our program’s focus on prioritizing patient engagement and access and its consideration of operational and technical infrastructure. Based on our FQHC’s experience, we provide recommendations on how to address patients’ health and social needs. FQHCs have the potential to implement MHUs, drawing on their existing infrastructure and community relationships. Our MHU program is well-aligned with our FQHC’s commitment and priority to deliver essential care and foster continuity within hard-to-reach communities, strengthening the local healthcare safety net and improving healthcare for high-need populations. Full article

Background: Neurotrophin receptor tyrosine kinase (NTRK) fusions are potent oncogenic mutations. Inhibitors such as larotrectinib, entrectinib and repotrectinib are used when cancer cells harbor NTRK1, NTRK2 or NTRK3 fusion. Signal disruption between nerve growth factor (NGF) and its target is thought to impact nociception. Withdrawal pain is reported with larotrectinib and entrectinib. Case presentation: Two male patients aged 37 and 41 years old and treated with, respectively, repotrectinib and larotrectinib for NTRK fusion-positive solid tumors experienced debilitating pain after abrupt cessation of their targeted therapy. Short courses of prednisone for the former and dexamethasone for the latter were initiated after failure of standard analgesia. Both patients improved within 24 h and the pain did not recur after steroids were weaned off. They had improvements in their functional status without unexpected toxicity. Conclusions and relevance: For patients experiencing TRK inhibitor withdrawal pain, especially when tapering down the inhibitor is not an available strategy, a short course of corticosteroids can provide lasting relief. These cases emphasize the importance of better understanding the mechanism underlying the relationship between NRTK, NGF and nociception. Full article

Objective: This study aimed to investigate the relationship between bronchoalveolar lavage (BAL) cellular profiles, microbiological status, and clinical outcomes such as hospital admission in adult patients with non-cystic fibrosis bronchiectasis. Methods: A retrospective cross-sectional study was conducted on thirty adult bronchiectasis patients. Demographic, clinical, and laboratory data were collected. The cellular components of BAL fluid (macrophages, neutrophils, lymphocytes, and eosinophils) were analyzed. Patients were grouped according to the presence of microbial culture growth and history of hospitalization in the past year. Statistical analyses were performed to determine significant relationships. Results: The median age was 57 years, and the gender distribution was equal. There was no significant difference in BAL cellular profiles between groups with and without culture growth. However, in the group with a hospital admission in the past year, BAL showed a significantly lower percentage of alveolar macrophages (20% vs. 47%, p = 0.011) and a higher percentage of eosinophils (5% vs. 1%, p = 0.036). The hospitalized group also showed a trend toward a higher neutrophil percentage and a lower lymphocyte/neutrophil ratio. Furthermore, surprising associations were noted, such as a higher BAL macrophage count in married individuals and higher BAL eosinophilia in patients with diabetes. Conclusions: BAL cellular analysis provides valuable information beyond routine microbiological investigations in bronchiectasis. The low-alveolar-macrophage and high-eosinophil profile was found to be significantly associated with hospitalization, and this profile has the potential to serve as a prognostic biomarker in defining the “high-risk” phenotype. These findings highlight the complexity of the local inflammatory response and reveal the potential role of BAL in developing personalized treatment strategies for patients with bronchiectasis. Full article

Circular–circular regression models are widely used to investigate relationships between angular variables in various applied fields, including biostatistics. The classical von Mises (vM) circular–circular regression model, however, is known to be sensitive to outliers due to its light-tailed error structure. In this study, we investigate the wrapped Cauchy (WC) circular–circular regression model as a robust alternative to the vM-based approach for analyzing circular data contaminated by outliers. Parameter estimation is performed via maximum likelihood (ML) using a modern constrained gradient-based optimization algorithm, namely the limited-memory Broyden–Fletcher–Goldfarb–Shanno algorithm with box constraints (L-BFGS-B), allowing for stable estimation under natural parameter bounds. Extensive simulation studies demonstrate that, under contaminated settings, the WC model provides substantially more stable parameter estimates than the vM model, yielding markedly lower mean squared error and variability, particularly for high concentration regimes and directional outliers. The robustness advantage of the WC model is further illustrated through a real biostatistical application involving the circular relationship between the months of diagnosis and surgical intervention in gastric cancer patients. Overall, the results highlight the practical benefits of WC-based circular–circular regression for robust inference in the presence of outliers. Full article

Objective: Visceral adipose tissue is a primary driver of insulin resistance and dysglycemia in type 2 diabetes (T2D), yet its clinical assessment remains challenging. This study aimed to validate neck circumference (NC) as a novel, practical anthropometric biomarker for estimating visceral fat area (VFA) and identifying metabolic risk in a T2D cohort, facilitating its integration into public health and primary care screening strategies. Methods: In a cross-sectional study of 1139 T2D patients, we collected data on NC, biochemical parameters (fasting plasma glucose, hemoglobin A1c, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides), and precisely measured VFA and subcutaneous fat area (SFA) via bioelectrical impedance analysis (Omron HDS-2000). We employed Pearson’s correlation and multivariate logistic regression to analyze the relationship between NC and metabolic indicators. Receiver operating characteristic (ROC) curve analysis was used to establish sex-specific NC cut-off values for predicting abnormal VFA. Results: The cohort comprised 687 (60.3%) males and 452 (39.7%) females. NC demonstrated strong positive correlations with VFA (p < 0.001), as did body mass index (BMI), waist–hip ratio (WHR), and SFA. In males, NC was further positively correlated with key metabolic biomarkers including fasting insulin, Insulin Resistance Index, triglycerides, and creatinine. ROC analysis identified NC > 39.5 cm for males and >35.5 cm for females as the optimal cut-off points for detecting abnormal visceral adiposity, highlighting its diagnostic utility. Conclusions: NC serves as a highly accessible and effective biomarker for visceral adiposity and associated metabolic dysfunction in patients with T2D. The established sex-specific cut-off values provide a simple, non-invasive tool for risk stratification in clinical and public health settings, enabling early intervention and improved management of metabolic disease. Full article

One of the most notable aspects of Aspergillus fumigatus, and related to its dynamic adaptation, is its ability to form biofilm and produce a wide variety of secondary metabolites. The aim of this study is to advance the characterization of biofilms generated by different A. fumigatus strains across their developmental stages and analytically evaluate their structure and composition and their relationship with secondary metabolism activation. An in vitro biofilm model was standardized to investigate structural and analytical differences among strains isolated from distinct clinical settings and associated with different pathologies. We found that all tested strains could form biofilms; however, the characteristics of these structures—including total biomass, cellular viability and overall structure—varied markedly among strains under the evaluated conditions. Strains isolated from cystic fibrosis patients exhibited distinct behaviors in most conducted assays compared to other strains. These findings provide new insights into the variability of biofilm composition and may contribute to a better understanding of the role of biofilms in fungal pathogenesis, persistence and treatment resistance. Full article

Background and Objectives: Chronic kidney disease (CKD) and maintenance hemodialysis (HD) are frequently associated with psychological distress and impaired health-related quality of life (HRQoL). However, the relationships between depressive, anxiety, and stress symptoms, clinical factors, and HRQoL remain insufficiently understood in routine care. This study aimed to assess the prevalence of psychological distress and to explore cross-sectional correlates of kidney disease-specific and generic HRQoL in Romanian patients receiving long-term HD, providing one of the first detailed characterizations of these relationships in an Eastern European maintenance HD cohort. Materials and Methods: This single-center cross-sectional study included 125 adult patients undergoing maintenance HD for at least one year. Baseline assessment comprised socioeconomic, demographic and clinical and paraclinical data, including Charlson Comorbidity Index (CCI), dialysis adequacy (spKt/V), cognitive function, psychological distress assessed with the Depression, Anxiety and Stress Scale (DASS-21R), and HRQoL evaluated using the Kidney Disease Quality of Life Short Form (KDQOL-SF™ 1.3). HRQoL domains and physical and mental component summary scores (PCS, MCS) were analyzed using descriptive statistics, correlation analyses, and multivariable linear regression. Follow-up assessments at approximately one year were summarized descriptively. Results: Disease-specific HRQoL revealed marked impairment in perceived disease burden and work status, while physical HRQoL was substantially reduced (PCS 36.5 ± 9.6). Mental HRQoL was relatively preserved (MCS 48.8 ± 8.8). At baseline, 48.0% of patients reported at least mild depressive symptoms, 34.4% anxiety symptoms, and 44.0% stress symptoms. spKt/V showed a modest association with PCS. Psychological distress demonstrated weak associations with HRQoL; stress was independently associated with lower MCS, with limited explained variance (R² ≤ 0.15). Conclusions: Psychological distress is common among Romanian HD patients and is cross-sectionally associated with markedly impaired physical HRQoL. While the present design does not allow causal inferences, these findings support the implementation of routine psychological screening and the consideration of targeted psychosocial interventions in HD care. Full article

Background/Objectives: Urine drug testing (UDT) is a core component of nursing interventions within the treatment of substance use disorder (SUD). Beyond the detection of psychoactive substance use and medication adherence, UDT also provides opportunities for therapeutic dialogue, patient support, and recovery monitoring. Despite its routine use, little is known about how patients experience UDT and its potential as a therapeutic nursing tool within recovery-oriented care. This study aimed to explore patients’ lived experiences with UDT to understand its role in recovery-oriented addiction treatment. Methods: A phenomenological study with in-depth, semi-structured interviews was conducted among 12 residents of a supervised living facility at Addiction Care North Netherlands. Data were analyzed using Colaizzi’s seven-step method. Results: Four main themes were constructed in relation to trust within the therapeutic relationship—empowerment, accountability, and autonomy. Patients stated that their perception of UDTs as either supportive or punitive depended strongly on the level of trust within the therapeutic relationship. When trust was present, UDTs were experienced as supportive nursing tools that fostered empowerment and positive self-image, reinforced accountability for recovery goals, and upheld autonomy in decision-making. Conversely, in the absence of trust, UDTs were often perceived as punitive, coercive measures that undermined self-confidence and diminished accountability, ultimately hindering recovery progress. Nursing practices that emphasized nonjudgmental interpretation of results, collaborative decision-making, and patient-centered support contributed to positive experiences. Conclusions: Patients’ experiences indicate that the therapeutic value of UDT is highly dependent on the quality of the patient–nurse relationship. Nurses play a key role in ensuring that UDT is used as a supportive intervention rather than merely a control measure. Integrating UDT into holistic, recovery-oriented care can foster engagement, empowerment, and a sense of accountability. Future research should investigate nursing-led strategies to optimize UDT implementation tailored to treatment phase and patient needs. Full article

Cancer and Alzheimer’s disease (AD) display an inverse relationship, and there is a need to further explore this interplay. One key genetic contributor to AD is SORL1, the loss of which is thought to be causally related to AD development. SORL1 also appears to be implicated in cancer. To examine SORL1 and its network, this article simulated SORL1 and its interactions via signal-flow Boolean modelling, including in silico knockouts (mirroring in vivo loss-of-function mutations). This model (SKM034) predicted a total of 29 key changes in molecular relationships following the loss of SORL1 or another highly connected protein (ERBB2). Literature validation demonstrated that 2 of these predictions were at least partially validated experimentally, whilst 27 were Potentially Novel Predictions (PNPs). Complementing the in-depth relationship analyses was signal flow analysis through the network’s structure, validated using cell line and cancer patient RNA-seq data. Correct prediction rates for these analyses reached 60% (statistically significant relative to a random model). This article demonstrates the clinical relevance of this Alzheimer’s-related network in a cancer context and, through the PNPs, provides a strong starting point for in vitro experimental validation. As with previously published models using similar methods, the model may be reanalysed in different contexts for further discoveries. Full article

Background and Objectives: To evaluate the magnitude, axis and age-related changes in corneal astigmatism in patients before cataract surgery. Materials and Methods: In this retrospective, cross-sectional, and observational study, data from 2152 eyes that underwent phacoemulsification were evaluated. Keratometric values were obtained using the IOL Master 500 device. The frequency, magnitude and axis of corneal astigmatism were determined. The astigmatism axis was categorized as with the rule (WTR), against the rule (ATR), and oblique astigmatism. Quantitative analysis was performed using the power vector method (J0 and J45). The distribution and characteristics of corneal astigmatism data according to age were analyzed. Results: The mean age of the patients was 70.56 ± 8.88 years (range 40–94 years) and 1010 (46.9%) were males. Mean corneal astigmatism, J0 and J45 values were 0.96 ± 0.72, 0.05 ± 0.51, 0.01 ± 0.30 diopters (D), respectively. The most common range of magnitudes was 0.50–0.99 D with 38.8%, followed by <0.50 D (25.3%), 1.00–1.49 D (20.3%), and 1.50–1.99 D (8.7%). The cubic regression curve showed a U-shaped nonlinear relationship between age and corneal astigmatism (p < 0.001). The most common type of astigmatism was WTR with 43.4%, followed by ATR with 37.5% and oblique astigmatism with 19.1%. With the increase in age, the astigmatism axis gradually changed from WTR to ATR. There was a linear trend in the rate of these types of astigmatism across age groups (p < 0.05). Additionally, in patients under 65 years of age, WTR astigmatism was negatively correlated with age, while in patients 65 years of age and older, ATR astigmatism was positively correlated with age (r = −0.217, p < 0.001; r = 0.153, p < 0.001, respectively). Linear regression analyses revealed that the J0 value decreased significantly with age, whereas J45 showed no significant relationship. Specifically, J0 decreased by 0.014 D per year of age (95% confidence interval [CI], 0.011–0.016; p < 0.001). Conclusions: The results obtained in this study may provide information to guide surgeons in the management of astigmatism and the choice of toric intraocular lens in cataract surgery. Full article

Background/Objectives: Respiratory dysfunction in Parkinson’s disease (PD) is frequently underrecognized, particularly when resting oxygen saturation is preserved. Dynamic stress testing, however, may reveal exercise-induced oxygen desaturation, reflecting a latent functional respiratory impairment. The relationship between exertional oxygen desaturation and cognitive performance in PD remains insufficiently explored. Objective: To investigate the association between exercise-induced oxygen desaturation and global cognitive performance in patients with PD, and to explore the contribution of pulmonary gas exchange impairment assessed by diffusing capacity of the lung for carbon monoxide (DLCO). Methods: This prospective, cross-sectional, single-center observational study with consecutive enrollment included 50 patients with idiopathic Parkinson’s disease undergoing multidisciplinary respiratory evaluation following neurological assessment. Participants underwent cognitive evaluation using the Romanian version of the Montreal Cognitive Assessment (MoCA), pulmonary function testing including DLCO and total lung capacity (TLC), and a supervised 6-min walk test (6MWT) with continuous pulse oximetry. Exercise-induced oxygen desaturation was defined as a decrease in SpO₂ of ≥4% from baseline. Correlation analyses and multivariable regression models were applied. Results: Exercise-induced oxygen desaturation was frequent, with 60% of patients exhibiting a ≥4% decrease in SpO₂ during the 6MWT. Greater desaturation was significantly associated with lower MoCA scores (Spearman’s r = −0.383, p = 0.006). No significant associations were found between exertional desaturation and resting pulmonary function parameters, including DLCO and TLC. In multivariable analysis, lower MoCA score and levodopa–carbidopa intestinal gel treatment independently predicted greater oxygen desaturation during exercise. Conclusions: Exercise-induced oxygen desaturation is common in patients with PD despite preserved resting oxygenation and is associated with poorer cognitive performance. These findings suggest that exertional desaturation may reflect a dynamic functional impairment and may be associated with increased physiological vulnerability. Functional exercise testing with oxygen saturation monitoring may provide complementary information beyond resting pulmonary assessments. Full article

Gut microbiota is a potential therapeutic target for type 2 diabetes (T2D), but its role remains unclear. Investigating causal associations between them could further our understanding of their biological and clinical significance. A two-sample Mendelian randomization (MR) analysis was conducted to assess the causal relationship between gut microbiota and T2D. Key genes and mechanisms were identified through the integration of Genome-Wide Association Studies (GWAS) and cis-expression quantitative trait loci (cis-eQTL) data. Network pharmacology was applied to identify potential drugs and targets. Additionally, gut microbiota community analysis and machine learning models were used to construct a diagnostic model for T2D. MR analysis identified 17 gut microbiota taxa associated with T2D, with three showing significant associations: Actinomyces (odds ratio [OR] = 1.106; 95% confidence interval [CI]: 1.06–1.15; p < 0.01; adjusted p-value [p_adj] = 0.0003), Ruminococcaceae (UCG010 group) (OR = 0.897; 95% CI: 0.85–0.95; p < 0.01; p_adj = 0.018), and Deltaproteobacteria (OR = 1.072; 95% CI: 1.03–1.12; p < 0.01; p_adj = 0.029). Ten key genes, such as EXOC4 and IGF1R, were linked to T2D risk. Network pharmacology identified INSR and ESR1 as target driver genes, with drugs like Dienestrol showing promise. Gut microbiota analysis revealed reduced α-diversity in T2D patients (p < 0.05), and β-diversity showed microbial community differences (R² = 0.012, p = 0.001). Furthermore, molecular docking confirmed the binding affinity of potential therapeutic agents to their targets. Finally, we developed a class-weight optimized Extreme Gradient Boosting (XGBoost) diagnostic model, which achieved an area under the curve (AUC) of 0.84 with balanced sensitivity (95.1%) and specificity (83.8%). Integrating machine learning predictions with MR causal inference highlighted Bacteroides as a key biomarker. Our findings elucidate the gut microbiota-T2D causal axis, identify therapeutic targets, and provide a robust tool for precision diagnosis. Full article

Background: Visual dysfunction resulting from damage to the optic nerve and retinal neurons represents a significant concern in the postoperative management of childhood-onset craniopharyngioma (CP) survivors. The study aims to evaluate the influence of clinical parameters assessed in patients before and after neurosurgery of CP on peripapillary retinal nerve fiber layer (RNFL) thickness results, using optical coherence tomography (OCT) as early markers of compressive neuropathy. Methods: This study retrospectively examined 73 eyes from 38 individuals diagnosed with CP and 64 eyes from 32 healthy controls matched for age and sex. All patients in the study group underwent a complete endocrine examination before and after surgery. Moreover, all participants in both groups underwent a thorough ophthalmological examination and OCT imaging. The average RNFL thickness was analyzed, along with the RNFL in the superior and inferior sectors and in eight peripapillary sectors around the optic nerve. Clinical variables were analyzed to assess how they relate to alterations in RNFL thickness within specific sectors. Results: After surgery, the peripapillary RNFL thickness was much lower in the CP group than in the healthy control group. Preoperative factors significantly affecting RNFL reduction are as follows: age below 5 years at the time of diagnosis, birth in the country, optic disc oedema, delayed puberty, arginine vasopressin deficiency (AVD), growth hormone deficiency (GHD), hyperprolactinemia, and the degree of preoperative hypothalamic involvement. Moreover, syndrome of inappropriate secretion of antidiuretic hormone (SIADH), as well as the end of AVD, memory disorder and hyperfagia after surgery, correlated with damage to RNFL. Conclusions: CP causes significant thinning of the RNFL, which demonstrates the tumor’s impact on the visual pathway. Monitoring optic nerve damage and assessing outcomes after surgery can be performed effectively using OCT. Additionally, the relationship between RNFL thickness in specific areas and clinical indicators can provide vital information for diagnosing and monitoring. This highlights their usefulness in forecasting visual results. As a result, ongoing RNFL assessments should be part of the long-term management of CP patients to improve visual outlook and identify ongoing or remaining damage. Full article

Objectives: This study aims to explore the facilitators and barriers in the process of using AI agents for disease management in older COPD patients. Methods: Based on the normalization process theory, a descriptive qualitative study was used to conduct semi-structured interviews with 28 older patients with COPD recruited from June to August 2025 in a Class A tertiary hospital in Wuxi, Jiangsu Province. Results: A total of 28 interviews were conducted. Four themes (Coherence, Cognitive Participation, Collective Action, Reflexive Monitoring), nine subthemes (recognition of intelligent technology;supported by policy discourse and the background of national-level projects; the creation of a family atmosphere; recommendations from HCPs; relief and social connection; new “doctor”–patient relationship and communication; eliminate the burden and return to life; benefit and value perception; right self-decision by AI) in facilitators and nine subthemes (privacy conflicts and trust deficiency; blurred boundaries of human–machine responsibility and authority; non-high-quality services are chosen reluctantly; technical anxiety; lack of motivation for continued engagement; extra burden; limitations of the physical environment; human–machine dialogue frustration; a sense of uncertainty about the future of AI) in barriers were extracted. Conclusions: This study identified key factors influencing the use of AI agents in chronic disease management in older patients with COPD. The results provide directions for improving the implementation and sustainable use of AI health technologies. Full article

Background/Objectives: Blood thinners (anticoagulants) remain the first line pharmacotherapy for the management of cardiovascular and thromboembolic disorders. The increased utilization of polypharmacy, likely driven by the greater burden of comorbidities, elevates the risk of potential drug–drug interactions (pDDIs) and creates a significant challenge in anticoagulant management. The aim of the study was to assess the prescribing trend and impact of polypharmacy and pDDIs in patients receiving anticoagulant drug therapy in a public hospital providing secondary care. Methods: A cross-sectional observational study was undertaken between January–June 2023. Data from electronic medical records of prescriptions for anticoagulants were collected, analyzed for prescribing patterns, and checked for pDDIs using Micromedex database 2.0^®. Utilizing binary logistic regression, the relationship between polypharmacy and sociodemographic factors was assessed. Multivariate logistic regression analysis served to uncover determinants linked to pDDIs. Results: Of the total 130 patients, females were predominant (58.46%), with a higher prevalence among those aged 61–90 years. Atrial fibrillation emerged as the main clinical reason and apixaban (51.53%) ranked as the top prescribed anticoagulant in our cohort. Among the 766 pDDIs identified, the majority [401 (52.34%)] were categorized as moderate in severity. Polypharmacy was strongly linked to age (p = 0.001), the Charlson comorbidity index (CCI) (p = 0.040), and comorbidities (p = 0.005) in the binary logistic regression analysis. In the multivariable analysis, the number of medications remain a strong predictor of pDDIs (adjusted OR: 30.514, p = 0.001). Conclusions: Polypharmacy and pDDIs were exhibited in a significant segment of cohort receiving anticoagulant therapy, with strong correlations to age, CCI, comorbidities, and the number of medications. A multidimensional approach involving collaboration among healthcare providers assisted by clinical decision support systems can help optimize the management of polypharmacy, minimize the risks of pDDIs, and ultimately enhance health outcomes. Full article