Explore the vast range of titles available.

Asthma and rhinitis often co-exist in the same patient. Although some authors observed a higher prevalence and/or greater severity of asthma in patients with rhinitis, this view is not homogeneous and the debate continues. The aim of our study is to describe the prevalence of rhinitis in children and adolescents and to analyse their relationship with the prevalence of asthma. A multicentre study was conducted using the methodology of the International Study of Asthma and Allergies in Childhood (ISAAC). The target population of the study was all those school children aged 6–7 and 13–14 years from 6 of the main health catchment areas of Galicia (1.9 million inhabitants). The schools required were randomly selected, and all children in the targeted age ranges were included. Multiple logistic regression was used to obtain adjusted prevalence odds ratios (OR) between asthma symptoms of the schoolchildren and rhinitis prevalence. The results were adjusted for parental smoking habits, maternal education level, cat and dog exposure, and obesity. A total of 21,420 valid questionnaires were finally obtained. Rhinitis was associated with a significant increase in the prevalence of asthma in both age groups. The highest OR were 11.375 for exercise induced asthma (EIA) for children with recent rhinoconjunctivitis and 9.807 for children with recent rhinitis in 6–7 years old group. The prevalence OR’s are higher in EIA and severe asthmatics. Rhinitis in children and adolescents is associated with a higher prevalence and severity of asthma.

Background: Research is needed to determine the prevalence and variables associated with the diagnosis of flatfoot, and to evaluate the validity of three footprint analysis methods for diagnosing flatfoot, using clinical diagnosis as a benchmark. Methods: We conducted a cross-sectional study of a population-based random sample ≥40 years old (n = 1002) in A Coruña, Spain. Anthropometric variables, Charlson's comorbidity score, and podiatric examination (including measurement of Clarke's angle, the Chippaux-Smirak index, and the Staheli index) were used for comparison with a clinical diagnosis method using a podoscope. Multivariate regression was performed. Informed patient consent and ethical review approval were obtained. Results: Prevalence of flatfoot in the left and right footprint, measured using the podoscope, was 19.0% and 18.9%, respectively. Variables independently associated with flatfoot diagnosis were age (OR 1.07), female gender (OR 3.55) and BMI (OR 1.39). The area under the receiver operating characteristic curve (AUC) showed that Clarke's angle is highly accurate in predicting flatfoot (AUC 0.94), followed by the Chippaux-Smirak (AUC 0.83) and Staheli (AUC 0.80) indices. Sensitivity values were 89.8% for Clarke's angle, 94.2% for the Chippaux-Smirak index, and 81.8% for the Staheli index, with respective positive likelihood ratios or 9.7, 2.1, and 2.0. Conclusions: Age, gender, and BMI were associated with a flatfoot diagnosis. The indices studied are suitable for diagnosing flatfoot in adults, especially Clarke's angle, which is highly accurate for flatfoot diagnosis in this population.

To delineate the phenotype of erosive hand osteoarthritis (EHOA) in a Spanish population and assess its correlation with metabolic syndrome. We conducted a cross-sectional study using baseline data from the Prospective Cohort of Osteoarthritis from A Coruña (PROCOAC). Demographic and clinical variables, obtained through questionnaires, clinical examinations, and patient analytics, were compared among individuals with hand OA, with and without EHOA. We performed appropriate univariate and multivariate stepwise regression analyses using SPSS v28. Among 1039 subjects diagnosed with hand OA, 303 exhibited EHOA. Multivariate logistic regression analysis revealed associations with inflamed joints, nodular hand OA, and total AUSCAN. Furthermore, the association with a lower prevalence of knee OA remained significant. The influence of metabolic syndrome (MetS) on EHOA patients was analyzed by including MetS as a covariate in the model. It was observed that MetS does not significantly impact the presence of EHOA, maintaining the effect size of other factors. In conclusion, in the PROCOAC cohort, EHOA is associated with nodular hand OA, inflammatory hand OA, and a higher total AUSCAN. However, EHOA is linked to a lower prevalence of knee OA. Importantly, in our cohort, no relationship was found between EHOA and MetS.

ObjectiveWe aim to identify patterns of disease clusters among inpatients of a general hospital and to describe the characteristics and evolution of each group.MethodsWe used two data sets from the CMBD (Conjunto mínimo básico de datos - Minimum Basic Hospital Data Set (MBDS)) of the Lucus Augusti Hospital (Spain), hospitalisations and patients, realising a retrospective cohort study among the 74 220 patients discharged from the Medic Area between 01 January 2000 and 31 December 2015. We created multimorbidity clusters using multiple correspondence analysis.ResultsWe identified five clusters for both gender and age. Cluster 1: alcoholic liver disease, alcoholic dependency syndrome, lung and digestive tract malignant neoplasms (age under 50 years). Cluster 2: large intestine, prostate, breast and other malignant neoplasms, lymphoma and myeloma (age over 70, mostly males). Cluster 3: malnutrition, Parkinson disease and other mobility disorders, dementia and other mental health conditions (age over 80 years and mostly women). Cluster 4: atrial fibrillation/flutter, cardiac failure, chronic kidney failure and heart valve disease (age between 70–80 and mostly women). Cluster 5: hypertension/hypertensive heart disease, type 2 diabetes mellitus, ischaemic cardiomyopathy, dyslipidaemia, obesity and sleep apnea, including mostly men (age range 60–80). We assessed significant differences among the clusters when gender, age, number of chronic pathologies, number of rehospitalisations and mortality during the hospitalisation were assessed (p<0001 in all cases).ConclusionsWe identify for the first time in a hospital environment five clusters of disease combinations among the inpatients. These clusters contain several high-incidence diseases related to both age and gender that express their own evolution and clinical characteristics over time.

Background: The clinical characteristics of patients who have a first episode of congestive heart failure (CHF) may have changed in recent years. Methods: A retrospective cohort study was performed on 19,796 patients discharged from medical departments with a diagnosis of CHF between 1 January 2000 and 31 December 2022. Data were drawn from two data sets of the Minimum Basic Data Set-Hospital Data Set (MBDS) of the Lucus Augusti University Hospital (Spain): hospitalizations and patients. Patient characteristics (including the period of their first admission) and the association rules between diseases determined using the Apriori algorithm were studied in five consecutive time periods. Results: The general characteristics of patients on first admission for CHF changed over time. There were increases in mean age (75.9 ± SD 11.2 vs. 81.6 ± SD 11.5 years; p < 0.0001), the proportion of women (48.3% vs. 51.4; p = 0.0001), the number of acute diseases (1.1 ± SD 1.4 to 2.7 ± SD 2.5; p < 0.0001), and the number of chronic diseases (3.6 ± SD 1.9 to 6.5 ± SD 2.6); p < 0.001). Accordingly, the median number of diagnoses (from 3 to 7) and itemsets per patient increased (mean number of items 1.75 vs. 3.4; p < 0.0001), and the associations of diseases leading to CHF became more complex. Conclusions: This single-center study shows that in the last two decades, the characteristics of patients with a first hospital admission for CHF have changed. Patients are older, there is a predominance of women, and they have a greater number of acute and chronic concomitant diseases, making their clinical management more difficult.

Managing patients with multimorbidity and frequent hospital readmissions is a challenge. Integrated care programs that consider their needs and allow for personalized care are necessary for their early identification and management. This work aims to describe these patients’ clinical characteristics and evaluate a program designed to reducing readmissions. This prospective study analyzed all patients with ≥ 3 admissions to a medical department in the previous year who were included in the Internal Medicine Department chronic care program at the Lucus Augusti University Hospital (Lugo, Spain) between April 1, 2019 and April 30, 2021. A multidimensional assessment, personalized care plan, and proactive follow-up with a case manager nurse were provided via an advanced hospital system. Clinical and demographic variables and data on healthcare system use were analyzed at 6 and 12 months before and after inclusion. Descriptive and survival analyses were performed. One hundred sixty-one patients were included. Program participants were elderly (mean 81.4 (SD 11) years), had multimorbidity (10.2 (3) chronic diseases) and polypharmacy (10.6 (3.5) drugs), frequently used the healthcare system, and were highly complex. Most were included for heart failure. The program led to significant reductions in admissions and emergency department visits (p = .0001). A total of 44.7% patients died within 1 year. The PROFUND Index showed good predictive ability (p = .013), with high values associated with mortality (RR 1.15, p = .001). Patients with frequent hospital readmissions are highly complex and need special care. A personalized integrated care program reduced admissions and allowed for individualized decision-making.

Osteoarthritis (OA) is the most common rheumatic disease, characterized by progressive articular cartilage degradation. Raman spectroscopy (RS) has been recently proposed as a label-free tool to detect molecular changes in musculoskeletal tissues. We used cartilage samples derived from human femoral heads to perform an ex vivo study of different Raman signals and ratios, related to major and minor molecular components of articular cartilage, hereby proposed as candidate optical biomarkers for OA. Validation was performed against the radiological Kellgren–Lawrence (K-L) grading system, as a gold standard, and cross-validated against sulfated glycosaminoglycans (sGAGs) and total collagens (Hyp) biochemical contents. Our results showed a significant decrease in sGAGs (SGAGs, A1063 cm−1/A1004 cm−1) and proteoglycans (PGs, A1375 cm−1/A1004 cm−1) and a significant increase in collagen disorganization (ColD/F, A1245 cm−1/A1270 cm−1), with OA severity. These were correlated with sGAGs or Hyp contents, respectively. Moreover, the SGAGs/HA ratio (A1063 cm−1/A960 cm−1), representing a functional matrix, rich in proteoglycans, to a mineralized matrix-hydroxyapatite (HA), was significantly lower in OA cartilage (K-L I vs. III–IV, p < 0.05), whilst the mineralized to collagenous matrix ratio (HA/Col, A960 cm−1/A920 cm−1) increased, being correlated with K-L. OA samples showed signs of tissue mineralization, supported by the presence of calcium crystals-related signals, such as phosphate, carbonate, and calcium pyrophosphate dihydrate (MGP, A960 cm−1/A1004 cm−1, MGC, A1070 cm−1/A1004 cm−1 and A1050 cm−1/A1004 cm−1). Finally, we observed an increase in lipids ratio (IL, A1450 cm−1/A1670 cm−1) with OA severity. As a conclusion, we have described the molecular fingerprint of hip cartilage, validating a panel of optical biomarkers and the potential of RS as a complementary diagnostic tool for OA.

Objective: To evaluate the differences in overall survival (OS) and progression-free survival (PFS) between men and women with non-small-cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICIs) in second-line and later treatments. Methods: A retrospective, single-center observational study was conducted on patients with advanced NSCLC treated with ICIs (nivolumab, pembrolizumab, and atezolizumab) from January 2015 to December 2019 (with follow-up until December 2021). Demographic, clinical, and treatment-related variables were collected. OSand PFSwere analyzed using the Kaplan–Meier method and compared between genders using the log-rank test.A multivariate Cox regression analysis was performed to adjust for confounders. Results: A total of 189 patients were included, and 47 (25%) were women. The most common histology was adenocarcinoma (61%). Women began treatment at a younger age (59.8 vs. 66 years, p < 0.001) and had higher rates of active smoking (46.8% vs. 38%, p = 0.001). The median OS was similar between men (9.5 months, 95% CI: 7.1–11.8) and women (9.2 months, 95% CI: 3.3–15.2; p = 0.382) while PFS was significantly higher in males (3.2 months, 95% CI: 2.5–4.0) than in females (2.1 months; 95% CI = 1.6–2.5) (p = 0.002).Women had higher rates of tumor cachexia (BMI < 20).Worse PFS was observed for women both in the <20 kg/m2 (median PFS: 1.8 vs. 2.7 months, p = 0.016) and 20–24.9 kg/m2 groups (median PFS: 2.2 vs. 3.3 months, p = 0.077), while in patients with a BMI >= 25 kg/m2, median OS was higher in women than in men (14.7 months vs. 10.1 months). Women had also a significantly worse PFS than men among those with a cumulative tobacco consumption of <30 packs-year (median PFS: 2.2 vs. 3.2, p = 0.038. In the multivariate analysis, the male sex was significantly associated with a better PFS(HR = 0.59; p = 0.009), without significant differences between sexes in OS (HR = 0.90; p = 0.618). Among the other variables analyzed, only an ECOG >= 2 was significantly associated with both worse OS (HR = 3.53; 95% CI = 1.93–6.47) and PFS (HR = 2.19; 95% CI = 1.23–3.89). Women who discontinued due to toxicity (n = 7) had a median OS of 41.4 months (95% CI: 14.7–68.1) after discontinuation, whereas men (n = 15) had a median OS of 8.8 months (95% CI: 6.9–10.8), (p = 0.045). Conclusions: Sex-based differences were observed in the ICI outcomes. Women had worse PFS, particularly with lower BMI and lower tobacco exposure, despite similar OS between sexes. Women discontinued ICIs due to toxicity earlier but showed longer OS after discontinuation. Poor ECOG status was linked to worse outcomes across all the patients.

OBJECTIVES: To assess the prevalence of and factors associated with musculoskeletal pain (MSP) and neck and upper limb disability among music conservatory students. METHODS: An observational study in two Spanish conservatories, investigating a total of 206 students, administered the Nordic Musculoskeletal Questionnaire, visual analog scale for pain intensity, Neck Disability Index, DASH, and SF-36. Demographic and lifestyle characteristics and musical performance variables were recorded. Regression models were performed to identify variables associated with MSP for the four most affected anatomical regions and with neck and upper limb disability. RESULTS: The locations with the highest prevalence of MSP were the neck, upper back, shoulders, and lower back. Mild disability affected 47% of participants in the neck and 31% in the upper limbs. Mental health (SF-36) was below the average for the general population (45.5±10.2). Women were more likely to suffer neck pain (odds ratio [OR] 1.1-5.2), lower back pain (OR 1.7-8.7), and neck disability (B 0.6-7.8). The risk for shoulder pain was higher in those who played for more hours (OR 1.7-24.7) and lower among those who performed physical activity (OR 0.23-1.00). Disability in the neck (B -0.3) and upper limbs (B -0.4) was associated with poorer mental health (SF-36). CONCLUSION: MSP is highly prevalent in music students. Neck and upper limb disability were slight to moderate and both were associated with poorer mental health. The main factors associated with MSP were being female, hours spent practicing, and physical activity. Physical and psychological factors should be taken into account in the prevention of MSP in student-musicians.

Background Improved colorectal cancer (CRC) survival rates have been reported over the last years, with more than half of these patients surviving more than 5 years after the initial diagnosis. Better understanding these so-called long-term survivors could be very useful to further improve their prognosis as well as to detect other problems that may cause a significant deterioration in their health-related quality of life (HRQoL). Cure models provide novel statistical tools to better estimate the long-term survival rate for cancer and to identify characteristics that are differentially associated with a short or long-term prognosis. The aim of this study will be to investigate the long-term prognosis of CRC patients, characterise long-term CRC survivors and their HRQoL, and demonstrate the utility of statistical cure models to analyse survival and other associated factors in these patients. Methods This is a single-centre, ambispective, observational follow-up study in a cohort of n  = 1945 patients with CRC diagnosed between 2006 and 2013. A HRQoL sub-study will be performed in the survivors of a subset of n  = 485 CRC patients for which baseline HRQoL data from the time of their diagnosis is already available. Information obtained from interviews and the clinical records for each patient in the cohort is already available in a computerised database from previous studies. This data includes sociodemographic characteristics, family history of cancer, comorbidities, perceived symptoms, tumour characteristics at diagnosis, type of treatment, and diagnosis and treatment delay intervals. For the follow-up, information regarding local recurrences, development of metastases, new tumours, and mortality will be updated using hospital records. The HRQoL for long-term survivors will be assessed with the EORTC QLQ-C30 and QLQ-CR29 questionnaires. An analysis of global and specific survival (competitive risk models) will be performed. Relative survival will be estimated and mixture cure models will be applied. Finally, HRQoL will be analysed through multivariate regression models. Discussion We expect the results from this study to help us to more accurately determine the long-term survival of CRC, identify the needs and clinical situation of long-term CRC survivors, and could be used to propose new models of care for the follow-up of CRC patients.