Deprived Patients Research Articles

CAR T access and outcomes in large B-cell lymphoma according to ethnicity and socioeconomic deprivation in the UK.

Data on the impact of ethnic and socioeconomic factors on Chimeric antigen receptor (CAR) T-cell therapy (access and outcomes are limited, but key to understand whether results from the registration trials are generalizable to real-world patient populations. Here, we analysed ethnicity, socioeconomic deprivation and referral patterns in a cohort of 314 large B-cell lymphoma patients approved for third-line CD19 CAR-T across three large UK CAR-T centres. Patients from deprived areas had a lower infusion rate compared to low deprivation areas (73% vs. 86%, p = 0.04). CAR-T response rates, toxicities, progression-free survival or non-relapse mortality were similar with respect to ethnicity or deprivation. We did not find evidence of referral barriers according to ethnicity, but potential regional barriers for socioeconomically deprived patients in two of three centres. Intention-to-treat overall survival was significantly inferior in patients from deprived areas (1-year OS 44.5% vs. 58% for high vs. low deprivation; p = 0.02), likely reflecting general health disparities and higher drop-out rates in this group. Our data suggest similar outcomes of CD19 CAR-T-treated patients across a socioeconomically and ethnically heterogeneous real-world population. Results demonstrate broad access to CAR-T within the UK national delivery system, but the high drop-out rate and potential regional referral barriers for deprived communities should be further investigated.

Profiles of physician follow-up care, correlates and outcomes among patients affected by an incident mental disorder

ObjectivesThis study identified profiles of outpatient physician follow-up care and other practice features, mostly after detection of incident mental disorders (MD), and associated these profiles with patient characteristics and subsequent adverse outcomes.MethodsA cohort of 170,957 patients age 12 + with a new or recurrent MD detected in 2019-20 was investigated based on data from the Quebec Integrated Chronic Disease Surveillance System. Latent class analysis was performed to identify follow-up care profiles, mostly within one year of MD detection. Bivariate analyses tested associations between profiles and patient characteristics; logistic regressions examined relationships between profiles and adverse outcomes after one year.ResultsFive profiles were identified: Profiles 2 and 5 (64%) offered low mental health (MH) outpatient follow-up care, while the others dispensed higher MH follow-up care. Profiles differed in patient characteristics and related outcomes. Labelled “Follow-up care by usual psychiatrist”, Profile 1 (1% of sample) included younger patients with the most health and social issues. Profile 2 (50%), “Low MH follow-up care but high prior consultations for physical reasons”, mostly integrated older patients with chronic physical illnesses. Profile 3 (11%), “Follow-up care by general practitioners (GP) and psychiatrists”, referred to physicians other than the usual ones (e.g., walk-in practice) and encompassed patients with severe MD conditions. Profile 4 (23%), “High follow-up care by usual GP and prior consultations for physical reasons”, showed the typical characteristics of patients treated in primary care (more common MD, women, less materially and socially deprived). Profile 5 (15%), “Low MH follow-up care and prior consultations for physical reasons”, integrated more younger men, materially deprived patients, and with substance-related disorders (SRD) or co-occurring MD-SRD. More Profile 1 and 3 patients lived in university regions – those of Profile 4 were the least numerous in such regions. More Profile 5 patients lived in metropolitan and rural areas. Risk of death was higher in Profiles 5, 2, 3, and risk of frequent ED use and hospitalization higher in Profiles 1, 3, and 5 – patients with severe health and social issues.ConclusionThe study confirmed the need to improve prompt, adequate and continuous follow-up care for patients with incident MD.

Socioeconomic Deprivation and Risk of Operative Mortality After Emergency Laparotomy: A Systematic Review and Meta-Analysis.

The aim was to determine the effect of socioeconomic deprivation on operative mortality after emergency laparotomy. A PRISMA-compliant systematic review and meta-analysis (random-effects modeling) was performed searching for studies comparing operative mortality between the least and the most socioeconomically deprived patients undergoing emergency laparotomy. Both unadjusted and adjusted odds ratio (OR) were calculated as summary measure. Risk of bias was assessed using the Quality In Prognosis Studies tool, and certainty of evidence was assessed using the GRADE system. Four studies comprising 87,690 patients were included. There was no difference in the risk of operative mortality between the most and least deprived groups (unadjusted OR: 1.57, 95% CI .92, 2.68, P = .100) and when adjusted for other predictors (adjusted OR: 1.11, 95% CI .93, 1.32, P = .230). Subgroup analysis showed consistency of the findings in the United Kingdom (unadjusted OR: 1.36, 95% CI .92, 2.01, P = .130; adjusted OR: 1.15, 95% CI .92, 1.43, P = .230) and in the United States (unadjusted OR: 1.75, 95% CI .75, 4.06, P = .190; adjusted OR: 1.01, 95% CI .79, 1.29, P = .940). Sensitivity analyses showed inconsistency in favor of higher mortality risk in the most deprived patients. The GRADE certainty was moderate. Socioeconomic deprivation may have minor effect on operative mortality after emergency laparotomy; however, such effect fades away once adjusted for other predictors of mortality. Although independent research is required, it may be reasonable to predict that incorporation of socioeconomic deprivation into preoperative risk assessment tools may not improve their predictive performance.

OGC O06 - Socioeconomic Health Inequality in Oesophago-gastric Cancer in a Single Tertiary Centre: On Behalf of Greater Manchester OG Unit

Abstract Background Oesophagogastric cancer (OGC) 5-year survival is poor (15%). Only 34% of patients are considered for potentially curative treatment, which is associated with a 41% chance of survival. In other cancer, deprivation is associated with poor outcomes. This study aims to determine the association between deprivation, tumour and treatment intent (TI), and 5-year all-cause mortality (M) in OGC. Method This retrospective cohort study analysed patients newly diagnosed with OGC (adenocarcinoma or squamous cell carcinoma) across Greater Manchester between January 2018 and January 2023. TI was defined as the treatment pathway, at completion of staging investigations, either curative (pathway to resection or definitive chemoradiotherapy) or palliative (best supportive care, palliative chemotherapy or radiotherapy). Statistical analysis encompassed methods such as binary logistic regression, Cox proportional hazards models and Kaplan-Meier survival curves with adjustments made for age, gender, and clinical stage. IMD scores were grouped from deciles into quintiles leaving 5 groups, with IMD1 representing the most deprived. Results 3027 patients were included (2102, 69.4% males). Patients in IMD1 were diagnosed 4 years younger than in IMD5 (most affluent) (median age 70 (IQR=17) vs 74 (IQR=16), p<0.001). There was a higher proportion of deprived patients (32.9% IMD1 vs 15.3% IMD5, p<0.001). The proportion of stage 4b disease in IMD1 compared with IMD5 was not different (406 (40.7%) vs 174 (37.5%), p=0.081). The median survival was lower in IMD1 compared with IMD5 (0.81 vs 0.90 years, p=0.074). Following adjustment for confounders IMD1 was associated with a poorer overall survival when compared with IMD5 (HR 1.16, CI[1.02-1.32],p=0.020). Conclusion This study highlights a significant health inequality in the outcomes of OGC. Poorer outcomes in the most deprived group were independent of tumour stage, gender and age. Urgent measures to address socioeconomic health inequalities need to be instigated.

Influence of Social Deprivation on Patient-Reported Outcomes in Foot and Ankle Patients.

The impact of social health on patient-reported outcomes (PROs) is gaining increasing attention within the orthopaedic community. Few studies have explored any relationship between social deprivation levels and PROs in orthopaedic foot and ankle patients. We retrospectively identified patients who presented to an orthopaedic foot and ankle clinic for new evaluation. Patients completed PROs including PROMIS physical function (PF), PROMIS pain interference (PI), and the Foot and Ankle Ability Measure (FAAM). Social deprivation was measured using the Area Deprivation Index (ADI), a metric that incorporates various domains of poverty, education, housing, and employment. The ADI score quantifies the degree of social deprivation based on the 9-digit home zip code but is not a specific measure to an individual patient. Briefly, a lower ADI indicates less deprivation whereas a higher score denotes greater deprivation. Patient characteristics and outcomes were summarized and stratified by the nationally defined median ADI. Multivariable linear regression models assessed the relationships between PROs and continuous ADI controlling for demographics (age, sex, race/ethnicity, marital status, and employment status). Our cohort consisted of 1565 patients with PRO and appropriate zip code data. Patients in the most-deprived median ADI split had more pain (median PROMIS-PI 62.7 vs 61.2, P = .001) and less function (median PROMIS-PF 37.1 vs 38.6, P = .021) compared with the least-deprived median ADI split. The clinical significance of these findings is unclear, though, given the minimal differences between groups for PROMIS measures. There was no relationship between ADI and FAAM scores. More socially deprived patients presented to the clinic with marginally less function and greater pain. Although statistically significant, the clinical significance of these relationships is unclear and merits further exploration. We plan to continue to study the connection between social deprivation and patient outcomes in specific clinical conditions as well as before/after surgical interventions. Level IV, retrospective cases series.

The relation between socioeconomic status and invasive haemodynamics at evaluation for advanced heart failure.

Socioeconomic deprivation is a risk marker for worse prognosis in patients with heart failure (HF), and a potential barrier to referral for advanced HF evaluation. The relationship between socioeconomic status (SES) and invasive haemodynamics in patients undergoing evaluation for advanced HF therapies is unknown. We combined a consecutive clinical registry of patients evaluated for advanced HF with patient-level data on SES (household income, education, workforce status, cohabitant status and distance from home to tertiary HF centre) derived from nationwide registries. Using this information, the cohort was divided into groups of low-, medium- and high degree of socioeconomic deprivation. The associations between SES and invasive haemodynamics were explored with multiple linear regression adjusted for age and sex. A total of 631 patients were included. The median age was 53years, and 23% were women. Patients in the highest income quartile versus the lowest (Q4 vs. Q1) were older (median age 57 vs. 50years) and more often male (83% vs. 67%), both P<0.001. Increasing household income (per 100000 Danish kroner,1 EUR=7.4 DKK) was associated with lower pulmonary capillary wedge pressure (PCWP)[-0.18mmHg, 95% confidence interval (CI) -0.36 to -0.01, P=0.036] but not significantly associated with central venous pressure (CVP) (-0.07mmHg, 95% CI -0.21 to 0.06, P=0.27), cardiac index (-0.004L/min/m2, 95% CI -0.02 to 0.01, P=0.60), or pulmonary vascular resistance (PVR) (-0.003 Wood units, 95% CI -0.37 to 0.16, P=0.84). Comparing the most deprived with the least deprived group, adjusted mean PVR was higher (0.35 Wood units, 95% CI 0.02 to 0.68, P=0.04), but PCWP (0.66mmHg, 95% CI -1.49 to 2.82, P=0.55), CVP (-0.26mmHg, 95% CI -1.76 to 1.24, P=0.73) and cardiac index (-0.03L/min/m2, 95% CI -0.22 to 0.17, P=0.78) were similar. Most haemodynamic measurements were similar across layers of SES. Nevertheless, there were some indications of worse haemodynamics in patients with lower household income or a high accumulated burden of socioeconomic deprivation. Particular attention may be warranted in socioeconomically deprived patients to ensure timely referral for advanced HF evaluation.

Développement et validation d’un outil de dépistage systématique des fragilités sociales des patients atteints de cancer : l’outil DEFCO

Literature suggests that patients from deprived backgrounds are less likely to adhere to their treatments, continue to expose themselves to risk factors and, as a result, have poorer health outcomes. It is therefore crucial to identify these vulnerable populations early on, in order to provide them with tailored and reinforced care. The primary aim of this research is to construct and validate a systematic screening tool for identifying patients at highest risk of social vulnerability due to deprivation, through the use of psychometric techniques. This tool is intended to be easily used by healthcare professionals, to provide tailored and targeted care throughout the patient's journey. This study involves the development and assessment of a screening tool, along with a self-questionnaire and a decision support tool incorporating an artificial neural network. It is a prospective, monocentric, 2-stage psychometric validation study. This study has demonstrated the successful development of the self-questionnaire using psychometric methodology. The tool was found a good performance in screening social vulnerabilities. This validated self-questionnaire is an easy-to-use tool, allowing systematic screening for social vulnerabilities for cancer patients. This early identification allows to reinforce patient's pathway in order to avoid disruption. The integration of the tool in an artificial neuron network system allows to automate and disseminate this method of deprived patients' detection, while limiting the workload for the staff.

The Impact of Social Deprivation on Health Care Utilization Patterns Following Closed Reduction and Percutaneous Pinning of Pediatric Supracondylar Humerus Fractures

BackgroundDisparities in social determinants of health have been linked to worse patient reported outcomes, higher postoperative pain, and increased risk of revision surgery following orthopaedic procedures. Identification of perioperative predictors of healthcare utilization is of particular interest to mitigate cost and improve patient outcomes. The aim of this study is to elucidate the effect of social deprivation levels, using the Area Deprivation Index (ADI), on healthcare utilization following pinning of supracondylar humerus (SCH) fractures. Identifying risk factors for discrepancies in healthcare utilization following SCH fracture fixation can help mitigate unnecessary healthcare spending and improve care of vulnerable patient populations. MethodsThis is a retrospective review of a single institution’s experience with SCH fracture pinning between 2010 and 2023. Demographic variables and healthcare utilization data were recorded within 90 days of surgery. The ADI was recorded, and patients were separated into terciles according to their relative level of social deprivation. Outcomes were then stratified based on ADI tercile and compared. Results1186 patients from a single level one trauma center were included in this study. The upper, middle, and lower terciles of ADI consisted of 226, 458, and 502 patients, respectively. The most deprived tercile had greater emergency department visitation within 90 days of surgery relative to the least and intermediate deprived terciles (IRR 1.85, 95% CI 1.10-3.08). Identifying as White was an independent risk factor for increased outpatient clinic utilization (IRR 1.17, 95% CI 1.03-1.34). Higher levels of social deprivation were independent risk factors for increased ED visitation. There was no difference in 90-day inpatient readmission rates or telephone/telehealth calls made to the clinic between the least, intermediate, and most deprived patients. ConclusionsThis study begins to shed light on how social determinants of health impact the postoperative care of the pediatric orthopedic patient and which patient populations are the most at-risk for disproportionate resource utilization after pinning of SCH fractures. Understanding these differences may lead to improved patient outcomes while decreasing potentially unnecessary burden on the healthcare system. Level of EvidenceIII; retrospective comparative study Key Concepts1.Social determinants of health impact the postoperative care of the pediatric patient in the setting of supracondylar humerus fractures, more socially deprived patients are at higher risk of postoperative emergency department visits, patient race is shown to be a factor in postoperative clinic utilization.

Social determinants of health inequalities in early phase clinical trials in Northern England

BackgroundEarly phase clinical trials in Oncology represent a subspecialised area where UK patient selection is influenced by access to Experimental Cancer Medicine Centres (ECMCs). Equity of access with respect to social determinants of health (SDoH) were explored for two major ECMCs.MethodsA retrospective cohort study including all referrals to Newcastle and Manchester ECMCs in 2021 was completed. Consent to screening or pre-screening was stratified against SDoH characteristics, including: Index of Multiple Deprivation (IMD) decile, ethnicity and distance to centre.Results1243 patients were referred for trials. IMD quintile 1 (most deprived) patients had reduced likelihood of referral compared to expected population models (OR, 0.67; 95% CI: 0.55 to 0.80, p = <0.0001). IMD quintile 5 (least deprived) had increased likelihood of referral (OR, 1.46; 95% CI: 1.17 to 1.82, p = 0.0007). Living beyond median distance from Manchester reduced the likelihood of consenting to trials (OR, 0.72; 95% CI: 0.55 to 0.94, p = 0.015). Ethnicity data represented a White British propensity.ConclusionsInequalities in socioeconomic and geographic factors influence referral and enrolment to early phase clinical trials in Northern England. This has implications for equity of access and generalisability of trial results internationally and warrants further study.

How multidisciplinary clinics may mitigate socioeconomic barriers to care for chronic limb-threatening ischemia

ObjectiveAlthough multidisciplinary clinics improve outcomes in chronic limb-threatening ischemia (CLTI), their role in addressing socioeconomic disparities is unknown. Our institution treats patients with CLTI at both traditional general vascular clinics and a multidisciplinary Limb Preservation Program (LPP). The LPP is in a minority community, providing expedited care at a single facility by a consistent team. We compared outcomes within the LPP with our institution’s traditional clinics and explored patients’ perspectives on barriers to care to evaluate if the LPP might address them. MethodsAll patients undergoing index revascularization for CLTI from 2014 to 2023 at our institution were stratified by clinic type (LPP or traditional). We collected clinical and socioeconomic variables, including Area Deprivation Index (ADI). Patient characteristics were compared using χ2, Student t, or Mood median tests. Outcomes were compared using log-rank and multivariable Cox analysis. We also conducted semi-structured interviews to understand patient-perceived barriers. ResultsFrom 2014 to 2023, 983 limbs from 871 patients were revascularized; 19.5% of limbs were treated within the LPP. Compared with traditional clinic patients, more LPP patients were non-White (43.75% vs 27.43%; P < .0001), diabetic (82.29% vs 61.19%; P < .0001), dialysis-dependent (29.17% vs 13.40%; P < .0001), had ADI in the most deprived decile (29.38% vs 19.54%; P = .0061), resided closer to clinic (median 6.73 vs 28.84 miles; P = .0120), and had worse Wound, Ischemia, and foot Infection (WIfI) stage (P < .001). There were no differences in freedom from death, major adverse limb event (MALE), or patency loss. Within the most deprived subgroup (ADI >90), traditional clinic patients had earlier patency loss (P = .0108) compared with LPP patients. Multivariable analysis of the entire cohort demonstrated that increasing age, heart failure, dialysis, chronic obstructive pulmonary disease, and increasing WIfI stage were independently associated with earlier death, and male sex was associated with earlier MALE. Ten traditional clinic patients were interviewed via convenience sampling. Emerging themes included difficulty understanding their disease, high visit frequency, transportation barriers, distrust of the health care system, and patient-physician racial discordance. ConclusionsLPP patients had worse comorbidities and socioeconomic deprivation yet had similar outcomes to healthier, less deprived non-LPP patients. The multidisciplinary clinic’s structure addresses several patient-perceived barriers. Its proximity to disadvantaged patients and ability to conduct multiple appointments at a single visit may address transportation and visit frequency barriers, and the consistent team may facilitate patient education and improve trust. Including these elements in a multidisciplinary clinic and locating it in an area of need may mitigate some negative impacts of socioeconomic deprivation on CLTI outcomes.

Is it legitimate to use unplanned hospitalizations as a quality indicator for cancer patients? A retrospective French cohort study with special attention to the influence of social deprivation.

Readmission indicators are used around the world to assess the quality of hospital care. We aimed to assess the relevance of this type of indicator in oncology, especially for socially deprived patients. Our objectives were (1) to assess the proportion of unplanned hospitalizations (UHs) in cancer patients, (2) to assess the proportion of UHs that were avoidable, i.e., related to poor care quality, and (3) to analyze cancer patients the effect of patients' deprivation level on the type of UH (avoidable UHs vs. unavoidable UHs). In a French university hospital, we selected all hospitalizations over a year for a random sample of cancer patients. Based on medical records, we identified those among UHs due to avoidable health problems. We assessed the association between social deprivation, home-to-hospital distance, or home-to-general practitioner with the type of UH (avoidable vs. unavoidable) via a multivariate binary logit estimation. Among 2349 hospitalizations (355 patients), there were 383 UHs (16 %), among which 38% were avoidable. Among UHs, the European Deprivation Index was significantly associated with the risk of avoidable UHs, with a lower risk of avoidable UH for patients with medium or high social deprivation. Our results suggest that the use of UHs rate as a quality indicator is questionable in oncology. Indeed, the majority of UHs were not avoidable. Furthermore, within UHs, those involving patients with medium or high social deprivation are more often unavoidable in comparison with other patients.

Sarcopenia in colorectal cancer is related to socio-economic deprivation and Body Mass Index alone misrepresents underlying muscle loss in the deprived

Background & AimsPatients with colorectal cancer who are more socio-economically deprived have worse outcomes; deprivation is also associated with higher obesity rates, defined as a body mass index (BMI) of greater than thirty. Body composition (BC) factors such as sarcopenia and myosteatosis are also known to predispose to poorer outcomes following colorectal cancer surgery. There is limited evidence to date to relate the effect of deprivation upon these host characteristics that are linked to prognosis. We aimed to examine the relationship between deprivation and body composition in colorectal cancer. MethodsAnalysis was performed on a prospectively collected database of preoperative primary colorectal cancer patients at St Mark’s – The National Bowel Hospital, UK. Body composition characteristics were identified by analysing the L3 axial slices of Computer Tomogram (CT) slices of preoperative staging using Slice-O-Matic software with Automatic Body composition Analyser using Computed tomography image Segmentation (ABACS) L3 plug-in. Deprivation status for each patient was determined using their postal code which was linked to the Index of Multiple Deprivation (IMD). Each domain of the IMD was examined individually in relation to BC characteristics. Binary logistic regression analysis was performed on the data using a model developed from previous published analyses of this dataset. Results419 patients were included in the final analysis, the median age was 69 years and 57% of the patient population was male. Patients who were more deprived were significantly more likely to be sarcopenic [OR 1.56 (95% CI 1.01-2.41, p=0.045)] and myosteatotic [OR 1.69 (95% CI 1.019-2.81, p=0.042)]. More deprived patients were also more likely to have a lower BMI [OR 0.60 (95% CI 0.38-0.94, p=0.026)] despite no significant difference in visceral obesity between the most and least deprived. ConclusionsDeprivation is an important independent determinant of sarcopenia in the colorectal cancer population. Identifying these patients early and addressing reversible factors may help improve post-operative surgical outcomes in this poor prognostic group. Sarcopenia may be a premorbid state in the deprived colorectal cancer patient that may not be wholly driven by tumour characteristics.

In Patients With Rotator Cuff Tears, Female, Hispanic, African American, Asian, Socially Deprived, Federally Insured, and Uninsured Patients Are Less Commonly Treated Surgically

The purpose of the current study was to evaluate socioeconomic factors affecting whether a patient undergoes rotator cuff repair after a diagnosis of a rotator cuff tear. From 2009 through 2018, claims for adult (≥18 years of age) patients who were diagnosed with a primary rotator cuff injury were identified in the New York Statewide Planning and Research Cooperative System (SPARCS) database via International Classification of Diseases (ICD)-9th Revision-Clinical Modification (CM) and ICD-10-CM diagnostic codes. SPARCS is a comprehensive all-payer database collecting all inpatient and outpatient pre-adjudicated claims in New York. ICD-9-CM and ICD-10-CM codes were used to identify the initial diagnosis for each patient. Current Procedural Terminology codes were used to identify subsequent rotator cuff surgery. The procedures identified were linked with the initial diagnosis, and patients were noted as either having or not having rotator cuff surgery. Logistic regression analysis was performed for variables including age, sex, race, Social Deprivation Index (SDI), Charlson Comorbidity Index, and primary insurance type to determine the effect of patient factors on the likelihood of having surgery after a diagnosis of rotator cuff injury. Of the 67,584 rotator cuff patients included in the analysis, 19,770 (29.3%) of the patients underwent surgical intervention. From the logistic regression, females relative to males (odds ratio [OR]= 0.798, P < .0001), increased SDI (OR= 0.994, p < .0001), African American compared with White race (OR= 0.694, P < .0001), Asian compared with White (OR= 0.832, P < .0001), Hispanic compared with White (OR= 0.693, P < .0001), other race (OR= 0.58, P < .0001), those with Medicare (OR= 0.601, P < .0001) or Medicaid (OR= 0.614, P < .0001) relative to private insurance, and self-pay relative to private insurance (OR= 0.727, P < .0001) were all associated with decreased odds of undergoing rotator cuff surgery. Older patients (OR= 1.012, P < .0001) and Workers' Compensation relative to private insurance (OR= 1.664, P < .0001) had increased odds of undergoing surgery. The results of the current study identified disparities in the likelihood of undergoing rotator cuff repair after a diagnosis of a rotator cuff tear based on patient demographic and socioeconomic factors. Individuals with higher SDI; African American, Asian, Hispanic, or other non-White races; and those with Medicare, Medicaid, or self-pay insurance had decreased odds of surgery, whereas older age and Workers' Compensation insurance were associated with increased odds of undergoing surgery. Level IV, retrospective case series.

Socioeconomic deprivation is associated with worse health-related quality of life and greater opioid analgesia use while waiting for hip and knee arthroplasty.

The overall aim of this study was to determine the impact of deprivation with regard to quality of life, demographics, joint-specific function, attendances for unscheduled care, opioid and antidepressant use, having surgery elsewhere, and waiting times for surgery on patients awaiting total hip arthroplasty (THA) and total knee arthroplasty (TKA). Postal surveys were sent to 1,001 patients on the waiting list for THA or TKA in a single Northern Ireland NHS Trust, which consisted of the EuroQol five-dimension five-level questionnaire (EQ-5D-5L), visual analogue scores (EQ-VAS), and Oxford Hip and Knee Scores. Electronic records determined prescriptions since addition to the waiting list and out-of-hour GP and emergency department attendances. Deprivation quintiles were determined by the Northern Ireland Multiple Deprivation Measure 2017 using postcodes of home addresses. Overall, 707 postal surveys were returned, of which 277 (39.2%) reported negative "worse than death" EQ-5D scores and 219 (21.9%) reported the consumption of strong opioids. Those from the least deprived quintile 5 had a significantly better EQ-5D index (median 0.223 (interquartile range (IQR) -0.080 to 0.503) compared to those in the most deprived quintiles 1 (median 0.049 (IQR -0.199 to 0.242), p = 0.004), 2 (median 0.076 (IQR -0.160 to 0.277; p = 0.010), and 3 (median 0.076 (IQR-0.153 to 0.301; p = 0.010). Opioid use was significantly greater in the most deprived quintile 1 compared to all other quintiles (45/146 (30.8%) vs 174/809 (21.5%); odds ratio 1.74 (95% confidence interval 1.18 to 2.57; p = 0.005). More deprived patients have worse health-related quality of life and greater opioid use while waiting for THA and TKA than more affluent patients. For patients awaiting surgery, more information and alternative treatment options should be available.

#1942 Social deprivation and chronic kidney disease: a population based cohort study in Italy

Abstract Background and Aims The impact of social deprivation on the progression of Chronic Kidney Disease (CKD) to End Stage Kidney Disease (ESKD) requiring Renal Replacement Therapies (RRTs) and death has been demonstrated by large cohort studies produced both in the US and the UK. Nonetheless, there is still insufficient evidence, which might depend on the difficulty of comparing Health Care Systems from different countries, the lack of a standardized measure of social deprivation and the difficulty of obtaining follow-ups long enough to intercept all clinical outcomes. This study aims to fill this gap by analyzing a large cohort of patients affected by CKD identified in Healthcare Electronic Records through a validated algorithm. Method The study population consisted of all adult incident CKD cases treated conservatively, residents in the Lazio Region, that occurred between the 1st of January 2012 and the 31st of December 2021. The exposure was the deprivation index (DI), a composite indicator at the census block level, which integrates many aspects: low level of education, unemployment, non-home ownership, one parent family and overcrowding. The DI divided the Lazio residents in 5 classes according to the quintiles of its distribution (form very low to very high deprivation). The study outcomes were all-cause mortality and ESKD. The health status of CKD patients was characterized using the hospital discharges for hypertension, heart failure, diabetes, ischemic cardiopathy, obesity and other conditions, in the two years before the identification. Patients were followed form the incident date up to the date of death, ESKD, emigration from Lazio region or 31/12/2022, whichever came first. Cox regression analyses were performed to study the association between DI and adverse outcomes, estimating crude and adjusted Hazard Ratios (HR) and 95% Confidence Intervals (95% CI). The interaction between DI and sex was tested. Results From 2012 to 2021, there were 127 457 new CKD cases, 55.9% males. The average age was 72.2 (±13.7 SD) for males and 74.4 (±14.8 SD) for females, characteristics by deprivation index are reported in Table 1. During the follow-up, on average 4.3 years (±3.2 SD), 57 158 patients (45%) died and 5994 developed ESKD requiring RRTs (5%). The mortality analysis showed a statistically significant interaction between DI and sex. In males, there was a strong association between DI and mortality in both age-adjusted and fully-adjusted models (Fig. 1A), with a statistically significant trend across DI classes. In females, there was an association with a statistically significant trend across DI categories but the only statistically significant different HR was very high DI VS. very low DI (HR = 1.05; 95% CI = 1.00-1.09) (Fig. 1B). The association was much stronger for males then for females. In the ESKD outcome analysis there was not an interaction between sex and DI; hence, sex was used as confounder. The age-adjusted HR and the fully-adjusted HR of DI on ESKD did not show any trend across the DI categories and then the low and medium deprived had a lower ESKD risk compared to the very deprived. Conclusion The present study is so far the largest European prospective cohort regarding the association between socioeconomic position and CKD. The HR of mortality was inferior to the one found in the UK studies (HR 1.6). The most likely explanation is that we have stratified by sex and adjusted for comorbidities. In our study the most deprived patients have a higher risk of death, but not of ESKD requiring RRTs, showing socioeconomic inequalities in the worst possible outcome, that probably occurred before the progression of the disease in most deprived patients. Further studies are needed to confirm this association that can lead both individual and Public Health decisions.

Vascular service provision during the COVID-19 pandemic worsened major amputation rates in socially deprived diabetic populations.

The Coronavirus Disease - 2019 (COVID-19) pandemic significantly impacted healthcare service provision and put diabetic patients at increased risk of adverse health outcomes. We aimed to assess the impact of the COVID-19 pandemic on the incidence and demographic shift of major lower-limb amputation in diabetic patients. We performed a retrospective analysis of diabetic patient records undergoing major lower-limb amputation between 01/03/2019 and 01/03/2021 at the Royal Sussex County Hospital, the regional arterial hub for Sussex. Primary outcomes were amputation incidence rates and patient demographics compared between the prepandemic and pandemic cohorts. The incidence rate ratio of major lower-limb amputations shows a drop in amputations during the pandemic compared to pre-pandemic (IRR 0.82; 95% CI 0.57-1.18). Data suggests a shift in the social deprivation background of patients receiving amputations to disproportionately affect those in the more deprived 50% of the population (p=0.038). Younger patients received more amputations during the pandemic compared to prepandemic levels (p=0.001). Results suggest that during the COVID-19 pandemic there was a paradoxical reduction in amputations compared to prepandemic levels. However, changes to the demographic makeup of patient's receiving amputations are alarming as younger, and more deprived patients have been disproportionately affected by the pandemic.

What can hospital emergency admissions prior to cancer diagnosis tell us about socio-economic inequalities in cancer diagnosis? Evidence from population-based data in England

BackgroundMore deprived cancer patients are at higher risk of Emergency Presentation (EP) with most studies pointing to lower symptom awareness and increased comorbidities to explain those patterns. With the example of colon cancer, we examine patterns of hospital emergency admissions (HEAs) history in the most and least deprived patients as a potential precursor of EP.MethodsWe analysed the rates of hospital admissions and their admission codes (retrieved from Hospital Episode Statistics) in the two years preceding cancer diagnosis by sex, deprivation and route to diagnosis (EP, non-EP). To select the conditions (grouped admission codes) that best predict emergency admission, we adapted the purposeful variable selection to mixed-effects logistic regression.ResultsColon cancer patients diagnosed through EP had the highest number of HEAs than all the other routes to diagnosis, especially in the last 7 months before diagnosis. Most deprived patients had an overall higher rate and higher probability of HEA but fewer conditions associated with it.ConclusionsOur findings point to higher use of emergency services for non-specific symptoms and conditions in the most deprived patients, preceding colon cancer diagnosis. Health system barriers may be a shared factor of socio-economic inequalities in EP and HEAs.

Assessment of the impact of social deprivation, distance to hospital and time to diagnosis on survival in idiopathic pulmonary fibrosis

BackgroundIdiopathic pulmonary fibrosis (IPF) is a progressive condition associated with a variable prognosis. The relationship between socioeconomic status or distance travelled to respiratory clinics and prognosis is unclear. Research questionTo determine whether socioeconomic status, distance to hospital and time to referral affects survival in patients with IPF. Study design and methodsIn this retrospective cohort study, we used data collected from the British Thoracic Society Interstitial Lung Diseases Registry, between 2013 and 2021 (n = 2359) and calculated the quintile of Index of Multiple Deprivation 2019 score, time from initial symptoms to hospital attendance and distance as the linear distance between hospital and home post codes. Survival was assessed using Cox proportional hazards models. ResultsThere was a significant association between increasing quintile of deprivation and duration of symptoms prior to hospital presentation, Gender Age Physiology (GAP) index and receipt of supplemental oxygen and antifibrotic therapies at presentation. The most deprived patients had worse overall survival compared to least deprived after adjusting for smoking status, GAP index, distance to hospital and time to referral (HR = 1.39 [1.11, 1.73]; p = 0.003). Patients living furthest from a respiratory clinic also had worse survival compared to those living closest (HR = 1.29 [1.01, 1.64]; p = 0.041). InterpretationThe most deprived patients with IPF have more severe disease at presentation and worse outcomes. Living far from hospital was also associated with poor outcomes. This suggests inequalities in access to healthcare and requires consideration in delivering effective and equitable care to patients with IPF.

Is social deprivation associated with the peritoneal dialysis outcomes? A cohort study with REIN registry data.

Social deprivation is associated with lower peritoneal dialysis (PD) uptake. This study was carried out to evaluate the role of social deprivation on the outcome of PD. This was a retrospective study of data extracted from the Renal Epidemiology and Information Network registry for patients older than 18 years who started PD in metropolitan France between 1 January 2017 and 30 June 2018. The end of the observation period was 31 December 2020. The exposure was the European Deprivation Index calculated using the patient's address. The events of interest were death, transfer to haemodialysis (HD), transplantation and the composite event of death or transfer to HD. A Cox model and Fine and Gray model were used for the analysis. A total of 1581 patients were included, of whom 418 (26.5%) belonged to Quintile 5 of the European Deprivation Index (the most deprived patients). In the Cox model, the most deprived subjects did not have a greater risk of death (cause-specific hazard ratio (cs-HR): 0.76 [95% confidence interval (CI): 0.53-1.10], transfer to HD (cs-HR 1.37 [95% CI: 0.95-1.98]) or the composite event of death or transfer to HD (cs-HR: 1.08 [95% CI: 0.84-1.38]) or a lower risk of kidney transplantation (cs-HR: 0.73 [95% CI: 0.48-1.10]). In the competing risk analysis, the most deprived subjects had a higher risk of transfer to HD (subdistribution hazard ratio (sd-HR): 1.54 [95% CI: 1.08-2.19]) and lower access to kidney transplantation (sd-HR: 0.68 [0.46-0.99]). In PD patients, social deprivation was not associated with death or the composite event of death or transfer to HD. Socially deprived individuals had a greater risk of transfer to HD and lower access to kidney transplantation in the competing risk analysis.

Sepsis and case fatality rates and associations with deprivation, ethnicity, and clinical characteristics: population-based case–control study with linked primary care and hospital data in England

PurposeSepsis is a life-threatening organ dysfunction caused by dysregulated host response to infection. The purpose of the study was to measure the associations of specific exposures (deprivation, ethnicity, and clinical characteristics) with incident sepsis and case fatality.MethodsTwo research databases in England were used including anonymized patient-level records from primary care linked to hospital admission, death certificate, and small-area deprivation. Sepsis cases aged 65–100 years were matched to up to six controls. Predictors for sepsis (including 60 clinical conditions) were evaluated using logistic and random forest models; case fatality rates were analyzed using logistic models.Results108,317 community-acquired sepsis cases were analyzed. Severe frailty was strongly associated with the risk of developing sepsis (crude odds ratio [OR] 14.93; 95% confidence interval [CI] 14.37–15.52). The quintile with most deprived patients showed an increased sepsis risk (crude OR 1.48; 95% CI 1.45–1.51) compared to least deprived quintile. Strong predictors for sepsis included antibiotic exposure in prior 2 months, being house bound, having cancer, learning disability, and diabetes mellitus. Severely frail patients had a case fatality rate of 42.0% compared to 24.0% in non-frail patients (adjusted OR 1.53; 95% CI 1.41–1.65). Sepsis cases with recent prior antibiotic exposure died less frequently compared to non-users (adjusted OR 0.7; 95% CI 0.72–0.76). Case fatality strongly decreased over calendar time.ConclusionGiven the variety of predictors and their level of associations for developing sepsis, there is a need for prediction models for risk of developing sepsis that can help to target preventative antibiotic therapy.