Unveiling the comorbidity burden of male breast cancer.

Male breast cancer (MBC) is a rare condition with unique characteristics compared to female breast cancer (FBC). Despite its scarceness, there is growing evidence that MBC should not be studied and treated as FBC due to factors like later diagnosis stage and distinct genetic makeup. Retrospective observational study in the EpiChron Cohort, selecting all the prevalent patients with breast cancer between 2010 and 2019. Logistic models were used to determine associated comorbidities. Between 2010 and 2019, 105 MBC and 11,657 FBC patients were found in the EpiChron Cohort. MBC patients had a high mean age at diagnosis and number of comorbidities. Paying attention to comorbidity prevalences in breast cancer patients, it was clear that MBC patients tended to be prone to cardio-metabolic coexisting diseases, while FBC patients were more prone to hormone-, bone- and mental diseases. There were nine chronic conditions associated to MBC patients, but after a year-by-birth matching only four associations remained. Two of them were associated previously [odds ratio (95% confidence interval)]: "Disorder of lipid metabolism" [1.65 (1.03-2.64)] and "Genitourinary symptoms and ill-defined conditions" [2.03 (1.07-3.87)]; and the other two were new, "Anxiety disorders" [2.05 (1.09-3.87)] and "Osteoporosis" [3.58 (1.26-10.14)]. After comparing associated comorbidities in FBC with those in MBC, it seems MBC patients share some of them, but they have their own particular set of coexisting diseases. In fact, once a year-by-birth matching was performed in MBC patient cohort, it was more obvious MBC comorbidities behave more similar to none-Breast-Cancer male population than to FBC patients. These findings highlight the distinct characteristics of the MBC patient population and the need for a tailored approach of managing MBC.

Enhancing rural community engagement through palliative care networks: A scoping review.

Palliative care is a crucial discipline that alleviates suffering and enhances the quality of life for patients with life-limiting illnesses and their families. However, there is gap globally between the need for and availability of these services. Integrated health service networks offer a promising solution to address this gap in rural areas, by coordinating care across different levels and sectors. This scoping review aimed at identifying the key characteristics of palliative care networks in rural communities. A broad search without time limits was conducted in four databases. Analysis and synthesis were conducted using Latent Dirichlet Allocation topic modeling. Sixteen studies were included, revealing four key themes regarding the development of palliative care networks in rural areas: community engagement is essential to secure the reach of rural networks, tailored approaches acknowledging diversity enrich these networks, team-centric efforts involving stakeholder coordination ensure successful implementation, and a multifaceted approach-empowering non-traditional stakeholders and incorporating technology resources into primary health services-dynamizes palliative care delivery in rural areas. These findings underscore the potential of collaborative and innovative approaches to enhance the accessibility and effectiveness of palliative care in underserved rural communities. Further cost-effectiveness studies are warranted to better understand the impact these strategies can have on health systems.

Development and Validation of Nosocomial Bacterial Infection Prediction Models for Patients With Systemic Lupus Erythematosus.

BACKGROUND: Hospital-acquired bacterial infections are associated with high morbidity and mortality rates in patients with systemic lupus erythematosus (SLE). This study aimed to develop and validate predictive models for the risk of hospital-acquired bacterial infections in patients with SLE. METHODS: A historical cohort study was designed for development, and another bidirectional cohort study was used for external validation. The risk of bacterial infection was assessed upon admission and after 5 days of hospitalization. Predictor selection employed the least absolute shrinkage and selection operator (LASSO) techniques. Multiple imputations were used to handle missing data. Logistic regression models were applied, and the properties of discrimination, calibration, and decision curve analysis were evaluated. RESULTS: The development cohort comprised 1686 patients and 237 events (14.1%) from 3 tertiary hospitals. The external validation cohort included 531 patients and 84 infection outcomes (15.8%) from 10 hospital centers in Colombia (secondary and tertiary level). The models applied at admission and after 120 hours of stay exhibited good discrimination (AUC > 0.74). External validation demonstrated good performance among patients from the same tertiary institutions where the models were developed. However, geographic validation at other institutions has been suboptimal. CONCLUSIONS: Two predictive models for nosocomial bacterial infections in patients with SLE are presented. All infection prevention recommendations should be maximized in patients at moderate/high risk. Further validation studies in diverse contexts, as well as clinical impact trials, are necessary before potential applications in research and clinical care.

Influence of social determinants of health on quality of life in patients with multimorbidity and polypharmacy.

BACKGROUND: Multimorbidity is one of the biggest challenges faced by modern medicine, especially when managing older patients who are also often taking multiple medications. Multimorbidity is influenced by social determinants of health, giving rise to health inequalities in the population. Here, we sought to determine the influence of social determinants of health on quality of life in patients with multimorbidity and polypharmacy. METHODS AND MATERIALS: This cross-sectional observational study included 573 patients aged 65-74 with multimorbidity (≥3 diseases) and polypharmacy (≥5 drugs). Corresponding data was taken drawn from the Spanish MULTIPAP study, and included social and demographic variables, and data on health-related quality of life and overall self-perceived health status, assessed using the 5-level version of the EuroQol 5-dimensional questionnaire (EQ-5D-5L). Descriptive, bivariate and multivariate analyses with logistic regression models were performed. RESULTS: Mean patient age was 69.7 years, 55.8% of patients were female, 59.7% belonged to low social classes (V, VI), a monthly income of €1051-€1850 predominated, and the median number of diseases in the same patient was 6. Factors associated with higher quality of life were (odds ratio, OR) male gender (OR = 1.599, p = 0.013), a higher educational level (OR = 1.991, p = 0.036), an absence of urban vulnerability (OR = 1.605, p = 0.017), and the presence of medium social support (OR = 1.689, p = 0.017). Having a higher number of diseases was associated with poorer quality of life (OR = 0.912, p = 0.017). CONCLUSIONS: Our findings describe associations between social determinants of health and quality of life in patients aged 65-74 years with multimorbidity and polypharmacy. More illnesses, female gender, a lower education level, urban vulnerability, and less social support are associated with poorer quality of life, underscoring the need for a biopsychosocial approach in patient care.

Time above range and no coefficient of variation is associated with diabetic retinopathy in individuals with type 1 diabetes and glycated hemoglobin within target.

AIMS: This study aimed to investigate the association between glucose metrics and diabetic retinopathy in type 1 diabetes (T1D) patients using flash continuous glucose monitoring (FGM) systems, including those maintaining glycated hemoglobin (HbA1c) within the target range. METHODS: We conducted a cross-sectional study involving 1070 T1D patients utilizing FGM systems. Data on clinical, anthropometric, and socioeconomic characteristics were collected and retinopathy was classified based on international standards. RESULTS: Patients' mean age was 47.6 ± 15.0 years, with 49.4% of them being females. Within the cohort, 24.8% of patients presented some form of retinopathy. In the analysis involving the entire sample of subjects, male gender (OR = 1.51, p = 0.027), Time Above Range (TAR) > 250 mg/dL (OR = 1.07, p = 0.025), duration of diabetes (OR = 1.09, p < 0.001), smoking (OR = 2.30, p < 0.001), and history of ischemic stroke (OR = 5.59, p = 0.025) were associated with diabetic retinopathy. No association was observed between the coefficient of variation and diabetic retinopathy (p = 0.934). In patients with HbA1c < 7%, the highest quartile of TAR > 250 was independently linked to diabetic retinopathy (OR = 8.32, p = 0.040), in addition to smoking (OR = 2.90, p = 0.031), duration of diabetes (OR = 1.09, p < 0.001), and hypertension (OR = 2.35, p = 0.040). CONCLUSION: TAR > 250 mg/dL significantly emerges as a modifiable factor associated with diabetic retinopathy, even among those patients maintaining recommended HbA1c levels. Understanding glucose metrics is crucial for tailoring treatment strategies for T1D patients.

Metadata for Data dIscoverability aNd Study rEplicability in obseRVAtional Studies (MINERVA): Development and Pilot of a Metadata List and Catalogue in Europe.

PURPOSE: Metadata for data dIscoverability aNd study rEplicability in obseRVAtional studies (MINERVA), a European Medicines Agency-funded project (EUPAS39322), defined a set of metadata to describe real-world data sources (RWDSs) and piloted metadata collection in a prototype catalogue to assist investigators from data source discoverability through study conduct. METHODS: A list of metadata was created from a review of existing metadata catalogues and recommendations, structured interviews, a stakeholder survey, and a technical workshop. The prototype was designed to comply with the FAIR principles (findable, accessible, interoperable, reusable), using MOLGENIS software. Metadata collection was piloted by 15 data access partners (DAPs) from across Europe. RESULTS: A total of 442 metadata variables were defined in six domains: institutions (organizations connected to a data source); data banks (data collections sustained by an organization); data sources (collections of linkable data banks covering a common underlying population); studies; networks (of institutions); and common data models (CDMs). A total of 26 institutions were recorded in the prototype. Each DAP populated the metadata of one data source and its selected data banks. The number of data banks varied by data source; the most common data banks were hospital administrative records and pharmacy dispensation records (10 data sources each). Quantitative metadata were successfully extracted from three data sources conforming to different CDMs and entered into the prototype. CONCLUSIONS: A metadata list was finalized, a prototype was successfully populated, and a good practice guide was developed. Setting up and maintaining a metadata catalogue on RWDSs will require substantial effort to support discoverability of data sources and reproducibility of studies in Europe.

Experimental Analysis of Stress Shielding Effects in Screw Spacers Placed in Porcine Spinal Tissue.

Bone cortical tissues reorganize and remodel in response to tensile forces acting on them, while compressive forces cause atrophy. However, implants support most of the payload. Bones do not regenerate, and stress shielding occurs. The aim is to analyze the biomechanical behavior of a lumbar cage to study the implant's stress shielding. The ASTM E-9 standard was used with the necessary adjustments to perform compression tests on lumbar and thoracic porcine spinal vertebrae. Twelve cases were analyzed: six with the metal prosthesis and six with the PEEK implant. A mathematical model based on the Hertz contact theory is proposed to assess the stress shielding for endoprosthesis used in spine pathologies. The lumbar spacer (screw) helps to reduce the stress shielding effect due to the ACME thread. The best interspinous spacer is the PEEK screw. It does not embed in bone. The deformation capability increases by 11.5% and supports 78.6 kg more than a system without any interspinous spacer.

Association between precipitation and mortality due to diarrheal diseases by climate zone: A multi-country modeling study.

Background: Precipitation could affect the transmission of diarrheal diseases. The diverse precipitation patterns across different climates might influence the degree of diarrheal risk from precipitation. This study determined the associations between precipitation and diarrheal mortality in tropical, temperate, and arid climate regions. Methods: Daily counts of diarrheal mortality and 28-day cumulative precipitation from 1997 to 2019 were analyzed across 29 locations in eight middle-income countries (Argentina, Brazil, Costa Rica, India, Peru, the Philippines, South Africa, and Thailand). A two-stage approach was employed: the first stage is conditional Poisson regression models for each location, and the second stage is meta-analysis for pooling location-specific coefficients by climate zone. Results: In tropical climates, higher precipitation increases the risk of diarrheal mortality. Under extremely wet conditions (95th percentile of 28-day cumulative precipitation), diarrheal mortality increased by 17.8% (95% confidence interval [CI] = 10.4%, 25.7%) compared with minimum-risk precipitation. For temperate and arid climates, diarrheal mortality increases in both dry and wet conditions. In extremely dry conditions (fifth percentile of 28-day cumulative precipitation), diarrheal mortality risk increases by 3.8% (95% CI = 1.2%, 6.5%) for temperate and 5.5% (95% CI = 1.0%, 10.2%) for arid climates. Similarly, under extremely wet conditions, diarrheal mortality risk increases by 2.5% (95% CI = -0.1%, 5.1%) for temperate and 4.1% (95% CI = 1.1%, 7.3%) for arid climates. Conclusions: Associations between precipitation and diarrheal mortality exhibit variations across different climate zones. It is crucial to consider climate-specific variations when generating global projections of future precipitation-related diarrheal mortality.