What role do socioeconomic and clinical factors play in disease activity states in rheumatoid arthritis? Data from a large UK early inflammatory arthritis audit.

BACKGROUND: Persistently active rheumatoid arthritis (pactiveRA) may be due to the interplay between biological and non-biological factors. The role of socioeconomic factors remains unclear. OBJECTIVES: To explore which biological and non-biological factors associate with pactiveRA. METHODS: Adults with early RA in the National Early Inflammatory Arthritis Audit, recruited from May 2018 to October 2022, were included if having pactiveRA or persistently low RA (plowRA). The pactiveRA was defined as three consecutive Disease Activity Score-28 joints (DAS28) of >3.2 at baseline, 3 and 12 months. The plowRA was defined as DAS28 ≤3.2 at 3 and 12 months. Stepwise forward logistic regression was used to explore associations with pactiveRA (outcome). Age and gender were included a priori, with socioeconomic factors and comorbidities as exposure variables. RESULTS: 682 patients with pactiveRA and 1026 plowRA were included. Compared with plowRA, patients with pactiveRA were younger (58, IQR: 49-67) versus (62, IQR: 52-72), and included more women (69% vs 59%). The pactiveRA was associated with worse scores in patient-reported outcomes at baseline, and anxiety and depression screens. Overall, there was clear social patterning in pactiveRA, with age-by-gender interaction. Logistic regression indicated age, gender, social deprivation and previous or current smoking, were independently associated with pactiveRA, after controlling for disease severity markers (seropositivity). Depression, lung disease, gastric ulcers and baseline corticosteroid use, were also associated with pactiveRA (p<0.05 for all). CONCLUSION: Socioeconomic factors and deprivation were associated with pactiveRA, independent of clinical and disease characteristics. Identifying 'adverse' socioeconomic drivers of pactiveRA can help tailor interventions according to individual need.

CXCL9, IL2RB, and SPP1, potential diagnostic biomarkers in the co-morbidity pattern of atherosclerosis and non-alcoholic steatohepatitis.

Non-alcoholic steatohepatitis (NASH) is a hepatocyte inflammation based on hepatocellular steatosis, yet there is no effective drug treatment. Atherosclerosis (AS) is caused by lipid deposition in the endothelium, which can lead to various cardiovascular diseases. NASH and AS share common risk factors, and NASH can also elevate the risk of AS, causing a higher morbidity and mortality rate for atherosclerotic heart disease. Therefore, timely detection and diagnosis of NASH and AS are particularly important. In this study, differential gene expression analysis and weighted gene co-expression network analysis were performed on the AS (GSE100927) and NASH (GSE89632) datasets to obtain common crosstalk genes, respectively. Then, candidate Hub genes were screened using four topological algorithms and externally validated in the GSE43292 and GSE63067 datasets to obtain Hub genes. Furthermore, immune infiltration analysis and gene set variation analysis were performed on the Hub genes to explore the underlying mechanisms. The DGIbd database was used to screen candidate drugs for AS and NASH. Finally, a NASH model was constructed using free fatty acid-induced human L02 cells, an AS model was constructed using lipopolysaccharide-induced HUVECs, and a co-morbidity model was constructed using L02 cells and HUVECs to verify Hub gene expression. The result showed that a total of 113 genes common to both AS and NASH were identified as crosstalk genes, and enrichment analysis indicated that these genes were mainly involved in the regulation of immune and metabolism-related pathways. 28 candidate Hub genes were screened according to four topological algorithms, and CXCL9, IL2RB, and SPP1 were identified as Hub genes after in vitro experiments and external dataset validation. The ROC curves and SVM modeling demonstrated the good diagnostic efficacy of these three Hub genes. In addition, the Hub genes are strongly associated with immune cell infiltration, especially macrophages and γ-δ T cell infiltration. Finally, five potential therapeutic drugs were identified. has-miR-185 and hsa-miR-335 were closely related to AS and NASH. This study demonstrates that CXCL9, IL2RB, and SPP1 may serve as potential biomarkers for the diagnosis of the co-morbidity patterns of AS and NASH and as potential targets for drug therapy.

Peripheral artery disease, chronic kidney disease, and recurrent admissions for acute decompensated heart failure: The ARIC study.

BACKGROUND AND AIMS: Peripheral artery disease (PAD) has not only been associated with recurrent hospitalization for acute decompensated heart failure (ADHF) but is also associated with chronic kidney disease (CKD), a known risk factor for worse heart failure outcomes. The interaction of CKD with PAD in post-discharge ADHF outcomes is not well known. METHODS: Since 2005, hospitalizations for ADHF were sampled from 4 US regions by the Atherosclerosis Risk in Communities (ARIC) study and classified by physician review. We examined the adjusted association of PAD with 1-year ADHF readmissions, in patients with and without CKD (defined by glomerular filtration rate [GFR] ≤60 mL/min/1.73 m2 [stage 3a or worse]). RESULTS: From 2005 to 2018, there were 1049 index hospitalizations for patients with ADHF (mean age 77 years, 66 % white) with creatinine data, who were discharged alive. Of these, 155 (15 %) had PAD and 66 % had CKD. In comparison to those without PAD, patients with PAD had more comorbid conditions and higher 1-year ADHF readmission rates, irrespective of CKD status. After adjustment, PAD was associated with a greater risk of 1-year ADHF readmissions, both for patients with concomitant CKD (HR, 1.70; 95 % CI: 1.29-2.24) and those without CKD (HR, 1.97; 95 % CI: 1.14-3.40); p-interaction = 0.8. CONCLUSION: Among patients hospitalized with ADHF, those with concurrent PAD have more prevalent cardiovascular comorbidities and higher likelihood of 1-year ADHF readmission, irrespective of CKD status. Integrating a more holistic approach in management of patients with concomitant heart failure, PAD and CKD may be an important strategy to improve the prognosis in this vulnerable population.

Predictors of hip fracture in 15 European countries: a longitudinal study of 48,533 geriatric adults using SHARE dataset.

We investigated the risk factors for hip fracture in 48,533 European older adults for 8 years from 2013 onward. We identified female gender, age above 80, low handgrip strength, and depression as significant risk factors for hip fracture. Our findings may help identify high-risk populations for hip fractures in pre-clinical settings. OBJECTIVES: Hip fracture is a major cause of functional disability, mortality, and health costs. However, the identification and characterization of its causative factors remain poor. METHODS: We investigated demography, handgrip strength (HGS), depression, and multiple age-associated comorbidities for predicting future hip fracture in individuals aged 50 or above from 15 European countries (n = 48,533). All participants were evaluated from 2013 to 2020 using four successive waves of the Survey of Health, Aging, and Retirement in Europe (SHARE). RESULTS: Altogether, 1130 participants developed hip fractures during the study period. We identified female gender, an advancing age from quinquagenarians onward, and a poor socioeconomic status as critical risk factors for future hip fracture. Having mobility difficulty, a low HGS (< 27 kg in men, < 16 kg in women) and higher scores on Euro-D depression scales were also significant risk factors for hip fracture. Summated scales of hypertension, diabetes mellitus, cancer, Alzheimer's disease, and stroke did not appear as risk factors. CONCLUSION: Collectively, we report advancing age, female gender, low HGS, and depression as independent risk factors for hip fracture. Our findings are useful in identifying high-risk populations for hip fractures in pre-clinical settings before rigorous evaluation and treatment in clinics.

Unrecognised COVID-19 deaths in central Europe: The importance of cause-of-death certification for the COVID-19 burden assessment.

OBJECTIVE: In Central Europe, the increase in mortality during the COVID-19 pandemic exceeded the number of deaths registered due to coronavirus disease. Excess deaths reported to causes other than COVID-19 may have been due to unrecognised coronavirus disease, the interruptions in care in the overwhelmed health care facilities, or socioeconomic effects of the pandemic and lockdowns. Death certificates provide exhaustive medical information, allowing us to assess the extent of unrecognised COVID-19 deaths. MATERIALS AND METHODS: Data from 187,300 death certificates with a COVID-19 mention from Austria, Bavaria (Germany), Czechia, Lithuania and Poland, 2020-2021, was used. The two step analysis uses Cause of Death Association Indicators (CDAIs) and Contributing CDAIs to identify and measure the statistical strength of associations between COVID-19 and all other medical mentions. RESULTS: 15,700 deaths were reported with COVID-19 only as a contributing condition (comorbidity). In three cases out of four, a typical, statistically significant coronavirus complication or pre-existing condition was registered as the underlying causes of death. In Austria, Bavaria, Czechia and Lithuania the scale of COVID-19 mortality would have been up to 18-27% higher had COVID-19 been coded as the underlying cause of death. Unrecognised coronavirus deaths were equivalent to the entire surplus of excess mortality beyond registered COVID-19 deaths in Austria and the Czech Republic, and its large proportion (25-31%) in Lithuania and Bavaria. CONCLUSIONS: Death certificates with typical coronavirus complications or comorbidities as the underlying causes of death and contributing COVID-19 mentions were plausibly unrecognized coronavirus deaths.

Estimates of the excess cost burden of Ehlers-Danlos syndromes: a United States MarketScan® claims database analysis.

Introduction: Patients with Ehlers-Danlos syndromes (EDS) and hypermobility spectrum disorders (HSD) have significant health challenges that are well-documented, however their impact in terms of cost is not known. Our research objective was to examine the cost burden of EDS and HSD in the United States. We focused this analysis on those with commercial insurance plans. Methods: We queried the MarketScan® database for year 2021 for claims that contained an ICD-10 diagnosis code for EDS or hypermobility. Excess costs for patients in the EDS and HSD cohorts were determined by matching each patient to one patient in the database that did not have a claim for EDS or HSD and comparing total costs for the calendar year. We determined whether patients had claims for selected comorbid conditions likely to impact costs during the calendar year. Results: Sample sizes were 5,113 for adult (age ≥ 18) patients with EDS, 4,880 for adult patients with HSD, 1,059 for child (age 5-17) patients with EDS, and 2,427 for child patients with HSD. The mean excess costs were $21,100 for adult EDS patients, $11,600 for adult HSD patients, $17,000 for child EDS patients, and $11,000 for child HSD patients. EDS and HSD cohorts, both adults and children, with any of the comorbidities had greater healthcare costs. The largest difference was found in the EDS cohort with gastrointestinal comorbid conditions, with more than double the costs for adults. Discussion: We found that patients in the MarketScan database, adults and children, who had EDS or HSD had substantially higher associated excess healthcare costs than patients without EDS or HSD when considering age, sex, geographic location, and comorbidities. These disproportionate healthcare costs in this population have health policy and economic implications, including the need for rapid diagnosis, access to treatment, and accelerated research to advance treatments.

Cardiologic scoring system as predictors of mortality in geriatric COVID-19 patients.

OBJECTIVE: To develop a cardiologic scoring system to predict mortality among geriatric coronavirus disease-2019 patients. METHODS: The retrospective cohort study was conducted after approval from the ethics review committee of the Dr Soetomo General Academic Hospital, Surabaya, Indonesia, and comprised data from March 1, 2020, to April 30, 2021, of geriatric patients of either gender confirmed for coronavirus disease-2019 from several referral hospitals in East Java, Indonesia. Data on comorbidities, electrocardiograph, and chest X-ray findings was examined to develop a comprehensive scoring system. Data was analysed using SPSS 26. RESULTS: Of the 3,893 cases reviewed, data of 322(8.27%) patients was analysed; 191(59.3%) males and 131(40.7%) females. The overall mean age was 66±4.1 years (range: 60-75 years). Of them, 267(82.9%) subjects were alive upon hospital discharge, while 55(17.1%) died during hospitalisation. Of the 24 variables analysed, 5(21%) were found to be significant: cardiomegaly, sinus tachycardia, ST-segment abnormalities, pathological T-wave inversions, and axis deviation (p<0.05). Receiver operating characteristic curve analysis showed an area under the curve 0.86, cut-off point ≤4 with sensitivity 89% and specificity 69%. CONCLUSIONS: The scoring system was found to have the potential to predict mortality in geriatric coronavirus disease-2019 patients based on cardiac findings during hospital admission.

Identifying pulmonary embolism - high risk patients after total knee replacement: systematic review.

OBJECTIVE: To determine the incidence, onset, risk factors and mortality of pulmonary embolism in total knee replacement patients. METHODS: The systematic review was conducted in September 2022, and comprised search on PubMed, ScienceDirect, Scopus and Crossref databases for studies published from 1977 till September 7, 2022, in the English language related to the incidence of pulmonary embolism after primary total knee replacement. Cochrane Handbook for Systematic Reviews of Interventions was used to assess risk of bias, and the Newcastle-Ottawa Scale was used to assess the quality of evidence. RESULTS: Of the 3,910 studies initially identified, 66(1.68%) were analysed in detail, which together had 13,258,455 total knee replacement patients. Pulmonary embolism was reported in 76,515(0.58%) cases. The onset of pulmonary embolism ranged 2-150 days post-surgery. Patients with older age, diabetes mellitus, higher body mass index, atrial fibrillation, previous venous thromboembolism, high Charlson Comorbidity Index score, hypertension, arrhythmia and chronic heart failure were at significantly higher risk (p<0.05). The overall mortality rate of pulmonary embolism in such cases ranged 10.53-100%. CONCLUSIONS: Pulmonary embolism is a rare complication after orthopaedic surgery, but it has a very high mortality rate. By recognising the risk factors, attending physicians can optimise the use of chemoprophylaxis, thus preventing pulmonary embolism.

Comorbidities and use of health services in people with diabetes mellitus according to risk levels by adjusted morbidity groups.

BACKGROUND: People with diabetes mellitus frequently have other comorbidities and involve greater use of primary and hospital care services. The aim of this study was to describe the comorbidities and use of primary and hospital care services of people with diabetes according to their risk level by adjusted morbidity groups (AMG) and to analyse the factors associated with the utilisation of these services. METHODS: Cross-sectional study. People with diabetes were identified within the population of patients with chronic conditions of an urban health care centre by the AMG stratification tool integrated into the primary health care electronic clinical record of the Community of Madrid. Sociodemographic, functional, clinical characteristics and annual health care services utilisation variables were collected. Univariate, bivariate and Poisson regression analyses were performed. RESULTS: A total of 1,063 people with diabetes were identified, representing 10.8% of patients with chronic conditions within the health centre. A total of 51.4% were female, the mean age was 70 years, 94.4% had multimorbidity. According to their risk level, 17.8% were high-risk, 40.6% were medium-risk and 41.6% were low-risk. The most prevalent comorbidities were hypertension (70%), dyslipidaemia (67%) and obesity (32.4%). Almost 50% were polymedicated. Regarding health services utilisation, 94% were users of primary care, and 59.3% were users of hospital care. Among the main factors associated with the utilisation of both primary and hospital care services were AMG risk level and complexity index. In primary care, utilisation was also associated with the need for primary caregivers, palliative care and comorbidities such as chronic heart failure and polymedication, while in hospital care, utilisation was also associated with comorbidities such as cancer, chronic obstructive pulmonary disease or depression. CONCLUSIONS: People with diabetes were older, with important needs for care, many associated comorbidities and polypharmacy that increased in parallel with the patient's risk level and complexity. The utilisation of primary and hospital care services was very high, being more frequent in primary care. Health services utilization were principally associated with functional factors related to the need of care and with clinical factors such as AMG medium and high-risk level, more complexity index, some serious comorbidities and polymedication.

Development and validation of a model to predict ceiling of care in COVID-19 hospitalized patients.

BACKGROUND: Therapeutic ceiling of care is the maximum level of care deemed appropiate to offer to a patient based on their clinical profile and therefore their potential to derive benefit, within the context of the availability of resources. To our knowledge, there are no models to predict ceiling of care decisions in COVID-19 patients or other acute illnesses. We aimed to develop and validate a clinical prediction model to predict ceiling of care decisions using information readily available at the point of hospital admission. METHODS: We studied a cohort of adult COVID-19 patients who were hospitalized in 5 centres of Catalonia between 2020 and 2021. All patients had microbiologically proven SARS-CoV-2 infection at the time of hospitalization. Their therapeutic ceiling of care was assessed at hospital admission. Comorbidities collected at hospital admission, age and sex were considered as potential factors for predicting ceiling of care. A logistic regression model was used to predict the ceiling of care. The final model was validated internally and externally using a cohort obtained from the Leeds Teaching Hospitals NHS Trust. The TRIPOD Checklist for Prediction Model Development and Validation from the EQUATOR Network has been followed to report the model. RESULTS: A total of 5813 patients were included in the development cohort, of whom 31.5% were assigned a ceiling of care at the point of hospital admission. A model including age, COVID-19 wave, chronic kidney disease, dementia, dyslipidaemia, heart failure, metastasis, peripheral vascular disease, chronic obstructive pulmonary disease, and stroke or transient ischaemic attack had excellent discrimination and calibration. Subgroup analysis by sex, age group, and relevant comorbidities showed excellent figures for calibration and discrimination. External validation on the Leeds Teaching Hospitals cohort also showed good performance. CONCLUSIONS: Ceiling of care can be predicted with great accuracy from a patient's clinical information available at the point of hospital admission. Cohorts without information on ceiling of care could use our model to estimate the probability of ceiling of care. In future pandemics, during emergency situations or when dealing with frail patients, where time-sensitive decisions about the use of life-prolonging treatments are required, this model, combined with clinical expertise, could be valuable. However, future work is needed to evaluate the use of this prediction tool outside COVID-19.

Validating the Ontario Child Health Study Emotional Behavioural Scales-Brief Version (OCHS-EBS-B) in children with chronic physical illness.

BACKGROUND: A substantial proportion of children have a physical illness; these children commonly experience physical-mental comorbidity. To assess child mental health, brief scales that can be used in clinical and research settings are needed. This study assessed the validity and reliability of parent-reported Ontario Child Health Study Emotional Behavioural Scale-Brief Version (OCHS-EBS-B) scores. METHODS: Data come from a longitudinal study of children aged 2-16 years with a physical illness recruited from outpatient clinics at a pediatric hospital. Confirmatory factor analysis and McDonald's coefficient assessed the factor structure and internal consistency reliability of the OCHS-EBS-B, respectively. Point biserial correlations assessed agreement between the OCHS-EBS-B and Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID), a structured diagnostic interview. The Wilcoxon rank sum test compared OCHS-EBS-B scores between children with versus without physical-mental comorbidity (known-group validity). RESULTS: The three-factor structure of the OCHS-EBS-B was replicated in this sample of children with physical illness (χ2 = 196.23(272), p < 0.001; CFI = 0.98; TLI = 0.98; SRMR = 0.06; RMSEA [90% CI] = 0.034 [0.027, 0.044]). It had excellent internal consistency reliability (ω = 0.86-0.92) and was moderately correlated with the MINI-KID (baseline: rpb = 0.43-0.51; 6 months: rpb = 0.55-0.65). OCHS-EBS-B scores were significantly higher among children with versus without physical-mental comorbidity. CONCLUSIONS: Findings confirm psychometric evidence that the OCHS-EBS-B is a valid and reliable measure of mental health in children with chronic physical illness. Its brevity and robust psychometric properties make the OCHS-EBS-B a strong candidate for routine use in integrated pediatric physical and mental health services.

MORTALITY RISK ASSESSMENT AMONG PATIENTS, HOSPITALIZED FOR COVID-19.

In Georgia, the number of confirmed cases of Coronavirus were 1,85,5289. Among them, 17 132 patients died. Information on risk factors for mortality is insufficient. The purpose of our research is to evaluate clinical features of heavy patients with severe COVID and determine prognostic factors of outcome. Factors associated with critical COVID-19 included older age and certain chronic medical conditions. The clinical material of 250 chronically ill COVID-19 patients admitted to the intensive care unit was retrospectively studied. We divided the patients into two groups. The dead and the survivors. Demographic data, comorbidities, chronic diseases, results of ultrasound, cardiography, computed tomography and laboratory characteristics were studied. In patients with chronic diseases, in the intensive care unit during COVID-19, the relative chance of survival decreases: CRP3 - OR=0.98(95% CI:0.97-0.99Hydrothorax- OR=0.24(95% CI:0.06-0.95); Sepsis/Septic shock - OR=0.07(95% CI:0.01-0.39); WBC - OR=0.86(95% CI:0.74-0.99); Mechanical lung ventilation - OR=0.01(95% CI:0.00-0.05)); increase survival relative chance- pO2 - OR=1.03(95% CI:1.0-1.06). Predictors of mortality in patients with chronic diseases: coagulation characteristics, inflammatory markers, sepsis, and artificial lung ventilation. Risk factors for covid-19 mortality need to be studied to increase pandemic preparedness.

Risk of Cardiovascular Events Associated with Chronic Obstructive Pulmonary Disease and/or Metabolic Syndrome: A Large-Scale Nationwide Population-Based Cohort Study.

Purpose: Chronic obstructive pulmonary disease (COPD) and metabolic syndrome (MetS) are among the most prevalent conditions that might predispose individuals to life-threatening events. We aimed to examine their associations with cardiovascular (CV) events and mortality using a large-scale population dataset from the National Health Information Database in Korea. Patients and Methods: This population-based cohort study enrolled adults aged ≥40 years who had undergone more than two health examinations between 2009 and 2011. They were divided into four groups based on the presence of COPD and MetS. Analysis of the outcomes and CV events or deaths was performed from 2014 to 2019. We compared CV event incidence and mortality rates using a multivariate Cox proportional hazards model and Kaplan-Meier curves. Results: Totally, 5,101,810 individuals were included, among whom 3,738,458 (73.3%) had neither COPD nor MetS, 1,193,014 (23.4%) had only MetS, 125,976 (2.5%) had only COPD, and 44,362 (0.9%) had both. The risk of CV events was significantly higher in individuals with both COPD and MetS than in those with either COPD or MetS alone (HRs: 2.4 vs 1.6 and 1.8, respectively; all P <0.001). Similarly, among those with both COPD and MetS, all-cause and CV mortality risks were also elevated (HRs, 2.9 and 3.0, respectively) compared to the risks in those with either COPD (HRs, 2.6 and 2.1, respectively) or MetS (HRs, 1.7 and 2.1, respectively; all P <0.001). Conclusion: The comorbidity of MetS in patients with COPD increases the incidence of CV events and all-cause and cardiovascular mortality rates.

Lower Income, Smoking, Cardiopulmonary Comorbidities, and Higher Symptom Burden Influence the Occurrence of Cough in Patients Receiving Chemotherapy.

OBJECTIVES: To identify subgroups of patients with distinct cough occurrence profiles and evaluate for differences among these subgroups. SAMPLE & SETTING: Outpatients receiving chemotherapy (N = 1,338) completed questionnaires six times over two chemotherapy cycles. METHODS & VARIABLES: Occurrence of cough was assessed using the Memorial Symptom Assessment Scale. Latent class analysis was used to identify subgroups with distinct cough occurrence profiles. Parametric and nonparametric tests were used to evaluate for differences. RESULTS: Four distinct cough profiles were identified (None, Decreasing, Increasing, and High). Risk factors associated with membership in the High class included lower annual household income; history of smoking; self-reported diagnoses of lung disease, heart disease, and back pain; and having lung cancer. IMPLICATIONS FOR NURSING: Clinicians need to assess all patients with cancer for cough and provide targeted interventions.

Clinical trial results in context: comparison of baseline characteristics and outcomes of 38,510 RECOVERY trial participants versus a reference population of 346,271 people hospitalised with COVID-19 in England.

BACKGROUND: Randomised trials are essential to reliably assess medical interventions. Nevertheless, interpretation of such studies, particularly when considering absolute effects, is enhanced by understanding how the trial population may differ from the populations it aims to represent. METHODS: We compared baseline characteristics and mortality of RECOVERY participants recruited in England (n = 38,510) with a reference population hospitalised with COVID-19 in England (n = 346,271) from March 2020 to November 2021. We used linked hospitalisation and mortality data for both cohorts to extract demographics, comorbidity/frailty scores, and crude and age- and sex-adjusted 28-day all-cause mortality. RESULTS: Demographics of RECOVERY participants were broadly similar to the reference population, but RECOVERY participants were younger (mean age [standard deviation]: RECOVERY 62.6 [15.3] vs reference 65.7 [18.5] years) and less frequently female (37% vs 45%). Comorbidity and frailty scores were lower in RECOVERY, but differences were attenuated after age stratification. Age- and sex-adjusted 28-day mortality declined over time but was similar between cohorts across the study period (RECOVERY 23.7% [95% confidence interval: 23.3-24.1%]; vs reference 24.8% [24.6-25.0%]), except during the first pandemic wave in the UK (March-May 2020) when adjusted mortality was lower in RECOVERY. CONCLUSIONS: Adjusted 28-day mortality in RECOVERY was similar to a nationwide reference population of patients admitted with COVID-19 in England during the same period but varied substantially over time in both cohorts. Therefore, the absolute effect estimates from RECOVERY were broadly applicable to the target population at the time but should be interpreted in the light of current mortality estimates. TRIAL REGISTRATION: ISRCTN50189673- Feb. 04, 2020, NCT04381936- May 11, 2020.

Perceptions of the Impact of Comorbidity on the Bowel Cancer Screening Programme: Qualitative Study With Bowel Screening Participants and Staff.

INTRODUCTION: The impact of multiple health conditions on bowel cancer screening is currently unknown. We explored the impact of multiple health conditions on bowel cancer screening perceptions, experience and clinical management decisions following a positive stool test. METHODS: Semi-structured qualitative interviews were conducted remotely with Bowel Screening Wales staff (n = 16) stratified by regional location and role and with screening participants (n = 19) stratified by age, gender and comorbidity. Interview topics were guided by the Common-Sense Model. RESULTS: Screening participants, regardless of comorbidity status, placed great emphasis on the importance of early detection of cancer and completing the bowel screening process. Screening staff emphasised comorbidities in the clinical decision-making process; however, screening participants had low awareness of the impact that comorbidities can have on bowel screening. Participants describe how the presence of multiple health conditions can mask potential bowel symptoms and influence beliefs about follow-up. CONCLUSION: Bowel screening staff try to individualise the service to meet participant needs. The potential mismatch in screening staff and participant awareness and expectations of the bowel screening and diagnostic process needs to be addressed. Clearer and more regular communication with screening participants could support the screening process, particularly for those with significant coexisting health conditions or facing time delays. The possible masking effects and misattribution of symptoms because of comorbidities highlight an opportunity for education and raising awareness for screening participants and a potential area of focus for discussions in clinical consultations and staff training. PATIENT AND PUBLIC CONTRIBUTION: Project funding included costs for patients and public contributors to be compensated for their contributions to the project, in line with current standards. A patient and public contributor was involved in the design of the study, including protocol development, and the interpretation of key findings and implications for patients, which are subsequently reflected within the manuscript.

Borderline Personality Disorder and Eating Disorders: Investigating the Role of Emotion Regulation.

Objective: Borderline personality disorder (BPD) and eating disorders (EDs) both cause significant distress and co-occur at rates higher than expected, signifying potential overlapping regulatory mechanisms between both disorders. More specifically, both disorders involve emotion regulation deficits, suggesting they may share specific maladaptive regulatory components. The present study sought to examine the predictive role of emotion dysregulation within the comorbidity between EDs and BPD.Methods: A sample of psychiatric outpatients (N = 872) collected from a longitudinal study spanning the mid-1990s to 2015 completed the Structured Clinical Interview for DSM-IV for Axis I Disorders as well as a measure of emotion regulation strategies, the Difficulties in Emotion Regulation Scale, in order to assess overall functioning.Results: In a regression analysis, BPD was significantly predicted by emotion regulation deficits and was strongly related to categories of emotion dysregulation. EDs were not significantly predicted by emotion regulation deficits but did predict BPD diagnoses (B = -0.14, P < .001). Overall, BPD demonstrated strong relationships to emotion regulation deficits.Conclusions: Results indicate that targeted treatment focusing on emotion regulation deficits may be particularly indicated with co-occurring BPD and ED diagnoses.

Impact Of Comorbidities On Outcomes And Healthcare Costs Of Open Inguinal Hernia Repair In Patients With Diabetes Mellitus.

INTRODUCTION: Inguinal hernia management in patients with diabetes mellitus (DM) and comorbidities presents challenges due to potential impacts on wound healing and infection risk. This study evaluates the influence of additional comorbidities on outcomes following open inguinal hernia repair in DM patients. MATERIAL AND METHODS: A retrospective cohort study was conducted at Craiova Emergency Clinical County Hospital from 2015 to 2020. Patients with documented DM undergoing hernia repair were categorized into two groups based on comorbidity status. Data on presentation mode, hernia type, comorbidities, hospitalization, operative details, postoperative outcomes, and costs were collected and analyzed statistically. RESULTS: Among 38 DM patients undergoing hernia repair, 16 were in Group A (DM alone) and 22 in Group B (DM with comorbidities). Group B patients were older (p = 0.0002) and more likely to present emergently (OR: 13.81, p=0.0148) with incarcerated (OR: 22.733, p=0.0339) or strangulated hernias (OR: 9.4545, p=0.0390). Group B had longer hospitalizations (p=0.00132) and higher hospitalization costs (p = 0.00262). CONCLUSIONS: DM patients with comorbidities are at higher risk for complex hernias and prolonged hospitalizations. Pulmonary fibrosis emerges as a significant comorbidity requiring specific perioperative strategies. Tailored preoperative assessments and care plans can optimize outcomes.

[Obesity and kidney disease]. / Adipositas und Nierenerkrankungen.

INTRODUCTION: The obesity epidemic has led to an increased prevalence of obesity-related glomerulopathy (ORG). This disease is characte-rized by proteinuria, glomerulomegaly, progressive glomerulosclerosis and a decline in renal function. Individuals with obesity frequently display arterial hypertension and diabetes mellitus, exacerbating renal damage. The pathogenesis involves overactivation of the RAAS (Renin-Angiotensin-Aldosterone System), glomerular hyperfiltration, an inflammatory state with oxidative stress, hyperinsulinemia-induced hemodynamic alterations and lipotoxicity. Additionally, obesity represents a significant risk factor for kidney stone formation, further contributing to renal damage. The management of obesity-induced nephropathy primarily involves weight reduction strategies and optimized control of blood pressure and metabolic factors. Early detection is crucial to counteract the progression of kidney disease. Noteworthy, obesity significantly complicates the implementation of renal replacement procedures, including kidney transplantation, and increases the rate of complications. In summary, there are many reasons why obesity should gain attention in the field of nephrology.

Coping strategies, challenges and potential interventions among adult patients with HIV and mental illness comorbidity in southwestern Uganda.

HIV and mental illness comorbidity presents significant healthcare challenges, especially in low- and middle-income countries where healthcare systems often address individual conditions rather than comorbidities. This results in poor coping, increased vulnerability and diminished health-related quality of life. This study investigated coping strategies, challenges and potential interventions for individuals with HIV-mental illness comorbidity in Southwestern Uganda. The study included purposively selected people with HIV and mental illnesses seeking care in health facilities across Southwestern Uganda. Data from in-depth, semi-structured interviews were transcribed verbatim and entered into ATLAS.ti-7 for analysis. Thematic analysis was employed, generating codes from the transcripts to develop themes. The data revealed three categories: coping strategies, challenges and potential interventions. Three key coping strategies emerged: conscious avoidance of emotional stressors, maintaining emotional stability through social interactions and reliance on prayer. Challenges included social isolation, financial crises, vulnerability to abuse and medication management issues. Respondents recommended scaling up mass educational programmes to increase awareness of causes, preventive measures and association between the two comorbidities, together with implementing financial aid initiatives as viable interventions. These findings highlight the importance of addressing comorbidities together for improved emotional stability and underscore the value of the proposed potential interventions for healthcare systems and policymakers.