Analysis of Perception of Students and Faculty on Case Based Early Clinical Exposure in First Year Medical Students

Early clinical exposure (ECE) is a novel strategy for medical colleges to bridge the gap between basic and clinical sciences. There are few studies that explain student's and faculty's perspective on ECE. This study compares the ECE models (Case-based and Video-based case) in terms of benefits and challenges. This cross-over comparative study with 120 medical students of MBBS Batch 2019 and 8 facilitators was conducted in Government medical college, Pali, Rajasthan, India from September 2020 to March 2021. Entire batch was divided into two groups. In a hospital environment, one group was taught by an actual case (patient) of a specific topic, while another group was taught in a classroom setting by a video-based case. The students' and faculty's perspectives on Case-Based Early Clinical Exposure (CBECE) were documented using a pre-tested questionnaire and evaluated on a Likert scale. Finally, both groups were given assessment questions and the process was repeated in the following session of case based early clinical exposure, but with switched groups. Majority of the students (98.3%) agreed CBECE as more effective for attentiveness, retention, correlation of clinical knowledge with theoretical knowledge and communication. Most of the students (43.0%) believed that learning is limited due to lack of repeatability as compare with video-based case. Most of the facilitators found CBECE as effective tool for the development of attitude and communication skills of the students. CBECE can be implemented with limited sessions for sensitization of students about health care setup, importance of empathetic behavior, communication skill and better correlation of preclinical subjects in the context of disease.

MicroRNA biomarkers of platelet function

Funding Acknowledgements

Type of funding sources: Foundation. Main funding source(s): British Heart Foundation (BHF), VASCage (Centre for Promoting Vascular Health in the Ageing Community) of the Austrian Research Promotion Agency FFG (COMET program - Competence Centers for Excellent Technologies)

Introduction

Antiplatelet therapy (APT) leads to reduced morbidity and mortality in patients with cardiovascular disease but some still have thrombotic events. Tailoring APT to platelet function is currently limited by a lack of suitable platelet function tests. It has been previously shown that different circulating microRNAs (miRNAs) are derived from platelets and their measurement could provide new markers of platelet reactivity.

Purpose

To compare the release of different platelet miRNAs in response to different platelet agonists.

Methods

Measurements of platelet function were performed by light transmission aggregometry (LTA) in participants of the 2015 follow-up of the Bruneck study (n=338), using the following agonists: arachidonic acid (1mM), adenosine diphosphate (5µM, 20µM), collagen (0.4 µg/ml, 4 µg/ml, 10µg/ml), TRAP-6 amide (25µM) and U46619 (10µM). LTA platelet releasates were then used for RT-qPCR measurements of five platelet-enriched miRNAs (miR-21, miR-126, miR-150, miR-197, miR-223). Platelet-poor plasma (PPP) served as negative control.

Results

Platelet activation led to aggregation and extracellular release of miRNAs, with aspirin users (n=155) showing significantly lower miRNA release than non-aspirin users (n=183). Agonist responsiveness differed among miRNAs, with miR-21 being hyperresponsive to arachidonic acid and miR-150 being hyperresponsive to adenosine diphosphate, whilst release of miR-126, miR-197 and miR-223 was strongest to collagen (10µg/ml). In non-aspirin users, inflammation markers such as granulocyte counts or C-reactive protein correlated positively with platelet-derived miRNAs measured in PPP, whilst they correlated negatively with platelet-derived miRNAs measured in releasates. These effects were absent in aspirin users.

Conclusions

MiRNAs released from activated platelets can be reliably detected in PPP and platelet releasates. Preferential release of miRNAs in response to specific agonists suggests a selective release mechanism. Elevated PPP levels and decreased releasate levels of platelet-derived miRNAs in inflammatory environments suggest platelet exhaustion ex vivo due to platelet pre-activation.

POS1443 IDENTIFYING THE NEW EMERGENCE OF RACIAL DISPARITIES IN GOUT OVER THE PAST 3 DECADES – US NATIONAL SURVEY AND PROSPECTIVE COHORT DATA

Background

Several studies published after 2010 reported a higher frequency of gout and hyperuricemia among US Blacks than Whites.1-4 However, Blacks (in the US and Africa) were previously thought to suffer gout less often than Whites.5 We hypothesized that the racial disparity in Blacks emerged over the past several decades, with flipped prevalence between the two races.

Objectives

To assess trends in racial differences in gout prevalence in the US using both national survey and cohort study data over the past 3 decades.

Methods

Using data from the NHANES (National Health and Nutrition Examination Survey) III (1988-1994) and latest decade (2007-2016), and data from 5 examination periods in the ARIC (Atherosclerosis Risk in Communities) Study between 1988 through 2013, we compared age- and sex-adjusted prevalences and odds ratios (OR) to determine the trend of racial differences in gout prevalence between Blacks and Whites. A time-race interaction term was used to assess differences in the rate of change between the two races.

Results

Among Whites, the sex- and age-standardised prevalence of gout in the NHANES rose from 2.8% (95% CI: 2.4 to 3.2) in 1988-94 to 3.7% (3.2 to 4.1) in 2007/16. Prevalence of gout among Blacks was lower than Whites in 1988-94 (2.6% [2.2 to 3.0]) but rose more sharply over the subsequent decades (p for race-time interaction=0.003), and in 2007/16 came to exceed that of Whites (5.0% [4.4 to 5.6]).

Corresponding age-sex-adjusted ORs for gout in Blacks vs. Whites were 0.93 (0.73 to 1.17) in 1988-94, increasing to 1.46 (1.22 to 1.74) in 2007/16 (Table 1). This disproportionate rise in gout prevalence among Blacks tended to be more prominent among women (OR 1.81 [1.29 to 2.53]) than men (OR 1.26 [1.02 to 1.55]; p for race-time interactions of 0.002 and 0.01, respectively). Similar trends were observed in the ARIC cohort, where the OR for gout among Blacks vs. Whites rose progressively from 0.82 (0.65 to 1.02) in 1987-89 to 1.81 (1.49 to 2.19) in 2011-13.

Table 1.

Temporal Trend of Racial Disparity in Gout Prevalence in NHANES Survey and the ARIC Study Cohort, overall and by sex

Odds Ratio (95% CI) for Gout Among Blacks vs. WhitesOVERALLNHANES1988-19942007-2016Age- and sex-adjusted0.93(0.73 to 1.17)1.46(1.22 to 1.74)ARICVisit 1: 1987-89Visit 2: 1990-92Visit 3: 1993-95Visit 4: 1996-98Visit 5: 2011-13Age- and sex-adjusted0.82(0.65 to 1.02)0.99(0.81 to 1.22)1.24(1.03 to 1.50)1.60(1.35 to 1.90)1.81(1.49 to 2.19)WOMENNHANES1988-19942007-2016Age-adjusted0.98(0.65 to 1.47)1.81(1.29 to 2.53)ARICVisit 1: 1987-89Visit 2: 1990-92Visit 3: 1993-95Visit 4: 1996-98Visit 5: 2011-13Age-adjusted0.92(0.64 to 1.32)1.14(0.82 to 1.59)1.45 (1.07 to 1.96)1.89 (1.45 to 2.46)2.28(1.73 to 3.01)MENNHANES1988-19942007-2016Age-adjusted0.91(0.68 to 1.21)1.26 (1.02 to 1.55)ARICVisit 1: 1987-89Visit 2: 1990-92Visit 3: 1993-95Visit 4: 1996-98Visit 5: 2011-13Age-adjusted0.73 (0.54 to 0.97)0.87 (0.66 to 1.14)1.03(0.79 to 1.33)1.29(1.02 to 1.64)1.34(1.00 to 1.78)

Conclusion

Gout prevalence tended to be lower in Blacks than Whites until late 80’s, then rose and surpassed that of Whites over the past several decades. These trends closely parallel the worsening obesity epidemic during this period,6 particularly in Blacks, partly due to enhanced Western lifestyle. Gout risk genetic profile change would not contribute to this emergence of racial differences, particularly among the same individuals in ARIC, although it remains to be clarified whether Blacks carry genetic profiles that enhance the effect of lifestyle risk factors for gout.

References

[1]PMID 22225548 (2012)

[2]PMID 24330409 (2013)

[3]PMID 24335384 (2014)

[4]PMID: 30618180 (2019)

[5]NEJM PMID: 15014177

[6]JAMA PMID: 12365955

Disclosure of Interests

Natalie McCormick: None declared, Leo Lu: None declared, Chio Yokose: None declared, Amit Joshi: None declared, Yuqing Zhang: None declared, Hyon Choi Consultant of: Ironwood, Selecta, Horizon, Takeda, Kowa, and Vaxart., Grant/research support from: Ironwood and Horizon

POS0280 EXCESS RISK OF ALL-CAUSE AND CARDIOVASCULAR MORTALITY IN FEMALES WITH GOUT – A PROSPECTIVE COHORT STUDY OF 105,502 WOMEN

Background

Despite the disproportionately worsening disease burden of female gout in recent years1 and its frequent associations with key cardiovascular risk factors (more often than male gout2,3), there remains a paucity of specific data about female gout, particularly about its impact on mortality and fatal coronary heart disease (CHD).

Objectives

To prospectively examine the relation of female gout and risk of all-cause and cardiovascular and coronary heart disease-specific deaths.

Methods

Using data from the Nurses’ Health Study (NHS), an ongoing prospective cohort study in which female nurses in the United States completed detailed mailed questionnaires regarding their medical history, lifestyle, and other risk factors at baseline and every two years thereafter, we prospectively analyzed the relation between gout status at baseline and during the follow-up period and the risk of all-cause and cardiovascular mortality using Cox proportional hazards regression to adjust for cardiovascular risk factors such as comorbidities, body mass index, postmenopausal status, medication use, and dietary factors.

Results

The analysis included 105,502 women without gout and 1602 women with gout. Women with gout at baseline in 1982 tended to be older (mean age 54 vs. 50 years), and more likely to report a history of hypertension (44% vs. 22%), hypercholesterolemia (17% vs. 8%), and diabetes (11% vs. 6%). During 24 years of follow-up, we documented 15,255 deaths from all causes, including 3,128 deaths from cardiovascular disease (CVD) and 1,405 deaths from coronary heart disease (CHD). Compared to women without history of gout or CHD at baseline, the multivariable relative risks (RRs) among women with history of gout at baseline were 1.33 (95% CI, 1.21 to 1.46) for total mortality, 1.40 (95% CI, 1.17 to 1.67) for CVD deaths, and 1.49 (95% CI, 1.17 to 1.91) for fatal CHD (Table 1). The corresponding RRs for gout at baseline and during the follow-up were 1.33 (95% CI, 1.23 to 1.44), 1.43 (95% CI, 1.24 to 1.66), and 1.34 (95% CI, 1.08 to 1.66), respectively.

Table 1.

Relative Risks of Death from All-Causes, Cardiovascular Disease, and Coronary Heart Disease According to Gout Status at Baseline in 1982 in the Nurses’ Health Study

No CHDNo GoutGoutDeaths from all causesCases, n14,810445Age-adjusted RR (95% CI)1.01.58 (1.43, 1.73)Multivariable-adjusted* RR (95% CI)1.01.33 (1.21, 1.46)All cardiovascular deathsCases, n3,001127Age-adjusted RR (95% CI)1.02.06 (1.72, 2.46)Multivariable-adjusted* RR (95% CI)1.01.40 (1.17, 1.67)Fatal CHDCases, n1,33570Age-adjusted RR (95% CI)1.02.53 (1.99, 3.22)Multivariable-adjusted* RR (95% CI)1.01.49 (1.17, 1.91)

*Adjusted for age (continuous), history of hypertension, history of hypercholesterolemia, history of diabetes, aspirin use (yes, no), diuretic use (yes, no), smoking (never, past, current <15, current ≥15 cigarettes/day), body mass index (<23, 23-24.9, 25-29.9, 30-34.9, ≥35), physical activity (quintile), alcohol intake (nondrinker, <5, 5-9, 10-29, ≥30g/day), family history of MI (yes, no), menopausal status (premenopause, post menopause), hormone replacement therapy use (premenopause, never user, current user, past user). total energy intake (quintile), trans fat (quintile), dietary cholesterol (quintile), protein (quintile), linoleic fatty acid (quintile), and ratio of polyunsaturated fat/saturated fat.

CHD = coronary heart disease; CI = confidence interval; RR = relative risk.

Conclusion

These prospective data indicate that women with gout have a higher risk of all-cause mortality, which is primarily driven by higher risk of CVD deaths. These findings closely agree with the UK general population data of both sexes that showed unclosing mortality gap over the past two decades.4 Together, these findings provide support for rigorous cardiovascular risk factor modification specifically in female gout to help curtail the rising disease burden of gout worldwide.1

References

[1]Xia et al., PMID 31624843

[2]Puig et al., PMID 2012455

[3]Harrold et al., PMID 16644784

[4]Fisher et al., PMID 28122760

Disclosure of Interests

Chio Yokose: None declared, Natalie McCormick: None declared, Na Lu: None declared, Amit Joshi: None declared, Gary Curhan Consultant of: AstraZeneca, Allena Pharmaceuticals, Shire/Takeda, Dicerna, and Orfan, Grant/research support from: Decibel Therapeutics, Employee of: Chief Medical Officer at OM1, Inc., Hyon Choi Consultant of: Ironwood, Selecta, Horizon, Takeda, Kowa, and Vaxart, Grant/research support from: Ironwood and Horizon

POS0155 WHAT DRIVES RACIAL DISPARITIES IN GOUT IN THE US? – POPULATION-BASED, SEX-SPECIFIC, CASUAL MEDIATION ANALYSIS

Background

Traditionally viewed as a disease of White men, global frequency and disability burden of female gout are rising disproportionately to male gout.1 Moreover, emerging US cohort data suggest gout and hyperuricemia impart larger burdens on Black adults than Whites.2 These racial disparities may be largely attributable to differences in non-genetic, mainly modifiable gout risk factors e.g., BMI, diet,3,4 and chronic kidney disease (CKD). However, national-level, general population data on racial differences in burden of gout, and potential mediators, are lacking.

Objectives

To determine and quantify sex-specific mediators of racial disparities in gout prevalence among a nationally representative sample of US adults.

Methods

Using recent decadal data (2007-2016) on physician-diagnosed gout and hyperuricemia from the National Health and Nutrition Examination Survey, we compared contemporary sex- and race-specific prevalences and conducted sequential causal mediation analysis (adjusting for upstream mediators following causal pathways)5 to determine the proportion of the racial differences attributable to 7 potentially mediating social and clinical factors (see DAG in Figure 1): low education, poverty, body mass index (BMI), alcohol, poor quality diet (poor DASH adherence), diuretic use, and CKD (eGFR <60 mL/min, using the latest equations that do not include a coefficient for Black race6, per National Kidney Foundation and American Society of Nephrology recommendations.7)

Results

Age standardised prevalence of gout was 3.5% and 2.0% in Black and White women, respectively (age-adjusted OR =1.8 [95% CI: 1.3 to 2.5]), and 7.0% and 5.4% in Black and White men (age-adjusted OR =1.3 [1.0 to 1.6]). Most risk factors were more frequent/elevated in Blacks than Whites, except alcohol consumption, which was lower in Blacks (both sexes). BMI levels and poverty were higher in Black women, but similar between Black and White men.

Largest mediating factor of excess gout cases among Black women was excess BMI, accounting for 56% of the racial difference (independent of education, poverty, diet, and alcohol), followed by CKD (24%), poverty (17%), and poor diet (12%) (see Table 1).

Table 1.

Indirect (mediation) effects of potential mediators, using sequential mediation analysis, for the association between Black race and odds of gout in US women and men.

WOMENMENEffect Estimate (OR), 95% CIProportion Mediated, %Effect Estimate (OR), 95% CIProportion Mediated, %Indirect (Mediation) EffectEducation (high school or less)1.01 (0.98 to 1.03)2.4%1.01 (0.98 to 1.03)3.3%Poverty1.07 (1.04 to 1.10)16.9%1.00 (0.99 to 1.00)0.53%Alcohol consumption (# drinks/week, continuous)0.99 (0.96 to 1.01)-3.4%0.99 (0.98 to 1.00)-4.5%DASH diet score (continuous; higher scores = ↓ adherence)1.05 (0.96 to 1.01)12.0%1.05 (1.01 to 1.10)19.8%Body mass index (continuous)1.25 (1.14 to 1.37)55.9%1.03 (1.02 to 1.04)11.9%Diuretic use1.03 (1.01 to 1.05)7.6%1.04 (1.02 to 1.06)14.2%Chronic kidney disease1.10 (1.04 to 1.16)23.9%1.12 (1.08 to 1.17)45.6%Direct Effect0.94 (0.68 to 1.30)a−15.2%1.02 (0.83 to 1.26)b9.2%Total Effect1.49 (1.12 to 1.98)100%1.29 (1.05 to 1.57)100%

DASH=Dietary Approaches to Stop Hypertension;

ap=0.52,

bp=0.83

Among men, CKD was the largest mediator (46%), followed by poor diet (20%) and diuretic use (14%). BMI (12%) and poverty (0.5%) mediated smaller proportions of the racial difference among men compared to women. Mediators of racial differences in hyperuricemia closely agreed with gout results.

Conclusion

Contrasting with historical views, gout is more frequent among Black adults in the US than their White counterparts, especially women (two-times greater in Black women vs. White). Culturally informed efforts to reduce these disparities should focus on excess adiposity, diet quality, and kidney disease while recognising the impact of poverty in female gout.

References

[1]Xia; PMID 31624843

[2]PMID 24335384

[3]Rai BMJ PMID 28487277

[4]Yokose JAMA IM (2022)

[5]VanderWeele; PMID 25580377

[6]NEJM PMID 34554658

[7]JASN PMID 34556489

Disclosure of Interests

Natalie McCormick: None declared, Leo Lu: None declared, Chio Yokose: None declared, Amit Joshi: None declared, Tony Merriman: None declared, Kenneth Saag Consultant of: Arthrosi, Atom Bioscience, Horizon Therapeutics, LG Pharma, Mallinkrodt, SOBI, Takeda, Grant/research support from: Horizon Therapeutics, SOBI, Shanton, Yuqing Zhang: None declared, Hyon Choi Consultant of: Ironwood, Selecta, Horizon, Takeda, Kowa, and Vaxart.

Grant/research support from: Ironwood, Horizon

OP0166 CHRONIC KIDNEY DISEASE AND AMPLIFICATION OF SERUM URATE IMPACT ON GOUT RISK: POPULATION-BASED STUDY OF > 450,000 UK BIOBANK PARTICIPANTS

Background

Serum urate (SU) is a necessary causal factor for development of gout, while chronic kidney disease (CKD) is associated with increased inflammatory biomarkers, cytokines, and reduced AMPK activity levels. Furthermore, CKD has been found to be associated with an increased risk of incident gout, even beyond (i.e., independent of) SU levels. As such, the impact of SU may be enhanced by presence of CKD, but this hypothesis has not been evaluated.

Objectives

To prospectively examine whether CKD modifies the relation between SU levels and risk of incident gout.

Methods

We conducted a prospective cohort analysis of UK Biobank participants with urate and creatinine levels available from baseline blood samples (2006-2010), and no prior diagnosis of gout or urate lowering therapy use. CKD Stage ≥ 3 status (eGFR <60 mL/min) was determined from latest CKD-Epi equations (NEJM 2021; JASN 2021).1,2 Incident cases of gout were ascertained from linked hospitalisation, primary care, and death records. Participants were followed from baseline up to 10 years or until gout diagnosis, death, or end of study period (Dec 31/19).

We calculated 10-year cumulative incidence of gout according to baseline SU category and CKD status and evaluated their individual and joint impact on gout risk using multivariable Cox proportional hazards models.

We further assessed for additive and multiplicative interactions3 between levels of SU and inverted eGFR, on a standardized continuous scale per SD.

Results

We included 458,244 individuals (45% male, mean age 56.5 years), of whom 6,559 had CKD at baseline, and documented 5,847 cases of incident gout over 4,442,866 person-years.

10-year cumulative incidence of gout ranged from 0.2% (baseline SU < 5 mg/dL) to 33% (baseline SU ≥ 10 mg/dL), and in each category incidence was higher for those with CKD than without (Table 1; Figure 1-left), Multivariable hazard ratio (HR) for the joint effect of CKD and highest SU level (≥ 10 mg/dL), compared to non-CKD and lowest SU (<5mg/dL), was 242 (95% CI: 189 to 309) (Figure 1-right).

Table 1.

Cumulative incidence and hazard ratio (HR) of incident gout according to baseline serum urate levels and CKD status

CKD Stage ≥ 3Hyperuricemia (Dichotomous)Serum urate, mg/dL<55.0 to < 6.06.0 to < 7.07.0 to < 8.08.0 to < 9.09.0 to < 10.0≥10<7.0≥7.0N cases6152895150104874943610-Year Cumulative Incidence0.6%1.1%1.7%7.6%19.1%28.0%42.0%1.2%16.6%Incidence Rate Ratio1.0 (Ref)1.72.712.333.856.1107.71.0 (Ref)15.2No CKDSerum urate, mg/dL<55.0 to < 6.06.0 to < 7.07.0 to < 8.08.0 to < 9.09.0 to < 10.0≥10<7.0≥7.0N cases393446105617691251363841,8953,46710-Year Cumulative Incidence,0.2%0.4%1.4%6.0%15.6%23.5%27.5%0.5%8.8%Incidence Rate Ratio1.0 (Ref)2.18.034.696.9155.9198.81.0 (Ref)20.2Joint Effect of Serum Urate and CKDSerum urate, mg/dL<55.0 to < 6.06.0 to < 7.07.0 to < 8.08.0 to < 9.09.0 to < 10.0≥10<7.0≥7.0Age-, Sex-, and Race- Adjusted HRNo CKD1.0 (Ref)1.97.029.883.0133.3170.31.0 (Ref)15.7CKD3.25.17.834.193.3155.9302.32.530.5Fully adjusted HR*No CKD1.0 (Ref)1.86.425.869.4108.7132.91.0 (Ref)12.5CKD3.14.76.828.975.2121.1241.82.322.4

*Adjusted for age, sex, race, body mass index, hypertension, diuretic use, smoking, and consumption of alcohol, coffee, meat, fish, poultry, and milk.

There was a significant additive interaction between continuous SU and eGFR (relative excess risk due to interaction=0.16 [0.09 to 0.24], p < 0.001), with HRs of 3.7 (3.6 to 3.8) per SD increase of SU, 1.2 (1.2 to 1.3) per SD increase of inverted eGFR, and 4.1 (3.9 to 4.2) for their joint effect. Their multiplicative interaction was also significant (p < 0.001).

Conclusion

These large prospective cohort data suggest CKD presence enhances the effect of elevated SU levels on risk of incident gout. They support roles of CKD-associated factors beyond SU in developing gout, such as reduced AMPK activity levels and altered inflammatory factors in CKD, which warrant further investigation.

References

[1]PMID 34554658

[2]PMID 34556489

[3]ARD (2021) PMID 34857519

Disclosure of Interests

Natalie McCormick: None declared, Leo Lu: None declared, Chio Yokose: None declared, Amit Joshi: None declared, Yuqing Zhang: None declared, Hyon Choi Consultant of: Ironwood, Selecta, Horizon, Takeda, Kowa, and Vaxart., Grant/research support from: Ironwood and Horizon

OP0164 A POPULATION-BASED, PROSPECTIVE METABOLOMICS STUDY IN THE UK BIOBANK IDENTIFIES GLYCOPROTEIN ACETYLS AS A NOVEL BIOMARKER OF INCIDENT GOUT

Background

Serum urate (SU) level is the strongest known causal predictor of clinical gout, but only ~20% with prolonged hyperuricemia develop gout, motivating the need for additional biomarkers for risk prediction and stratification. The metabolome represents a compelling intermediate trait between genome and phenome to elucidate disease mechanisms. Multiple cross-sectional studies of prevalent gout from men in Asia have been conducted, but no prospective data for incident gout (prediagnostic metabolome) are available.

Objectives

Our objectives were to (1) conduct a discovery-based metabolome-wide study to identify novel biomarkers of incident gout; and (2) replicate novel metabolomic biomarkers of gout in independent samples.

Methods

We conducted a prospective cohort analysis of 105,703 UK Biobank (UKB) participants (46% males, mean age 57.2 years) with targeted NMR metabolomic profiling (N=168 metabolites, including routine lipids and amino acids) available from baseline samples (2006-10), and no prior diagnosis of gout or urate lowering therapy use. Incident cases of gout were documented from linked medical records until gout diagnosis, death, or end of study period (Dec 31/19). We used Cox proportional hazard models to obtain hazard ratios (HR) and 95% confidence intervals (CIs) per standard deviation (SD) increase in each of the 168 metabolites to determine associations with incident gout.

To replicate our findings, we assessed association of metabolome-wide significant metabolites in a replication set, restricted to 4,804 non-overlapping participants who provided blood in the repeat assessment visit (2012-13).

Results

During a median 10.4 years follow-up, we documented 1,367 cases of incident gout in the discovery set. After correction for multiple comparisons, glycoprotein acetyls (GlycA) were positively associated with risk of incident gout (multivariable HR per 1SD increase = 1.34 (1.27 to 1.41), P = 9.04x 10-28) after adjusting for age, sex, and lifestyle and clinical covariates (Table 1). This association persisted even after SU adjustment (HR 1.07, P = 0.0091). In the replication set, among 4,804 participants followed for a median of 6.8 years, we documented 22 cases. In this dataset, we replicated GlycA association with incident gout (multivariable HR per 1SD increase =1.56 (1.08 to 2.25), P = 0.017).

Table 1.

Association of glycoprotein acetyls (GlycA) with risk of incident gout in the UK Biobank

ModelUnivariable HR, (95% CI)PMultivariable HR, (95% CI)PDiscovery (N= 105,703)Per Standard deviation:GlycA, per SD1.48 (1.41 to 1.60)3.7x10-591.34 (1.27 to 1.41)9.04x 10-28Categorized as quintiles:GlycA, Q11.0 Ref1.0 RefGlycA, Q21.43 (1.13 – 1.80)0.0021.30 (1.03 – 1.64)0.0252GlycA, Q32.06 (1.66 – 2.56)4.88 x 10-111.73 (139 – 2.15)7.64 x 10-07GlycA, Q42.53 (2.05 – 3.12)4.15 x 10-181.98 (1.60 – 2.45)3.96 x 10-10GlycA, Q53.70 (3.02 – 4.52)3.21 x 10-372.63 (2.12 – 3.23)2.01 x 10-19Replication (N= 4804)Per Standard deviation:GlycA, per SD1.65 (1.19 to 2.29)0.00271.56 (1.08 to 2.25)0.0172

1 Hazard ratios (HR) and 95% confidence intervals (CIs) obtained after adjusting for the first 4 genomic principal components (controlling for population stratification), age, sex, fasting (<4 hrs, 4-8 hrs and ≥8 hrs), smoking (never, former, current), freq of alcohol, BMI, diabetes (yes/no) and hypertension at baseline (yes/ no).

Conclusion

In this large-scale, prospective metabolomics study, we identified and independently replicated our findings that plasma levels of GlycA are associated with incident gout in UKB participants. GlycA is novel for gout, though this pro-inflammatory biomarker has predicted risk of other cardiometabolic-inflammatory phenotypes, independent of CRP.1 These findings may provide insight into the metabolic-inflammatory pathogenesis of gout, with implications for risk prediction, even beyond SU, but call for further investigation with more extensive metabolome profiling and external replication.

References

[1]Kettunen; PMID 30571186

Disclosure of Interests

Amit Joshi: None declared, Natalie McCormick: None declared, Chio Yokose: None declared, Na Lu: None declared, Hyon Choi Consultant of: Ironwood, Selecta, Horizon, Takeda, Kowa, Vaxart, Grant/research support from: Ironwood, Horizon

POS1171 TRIPLE THE RATE OF EMERGENCY ROOM VISITS AND HOSPITALIZATIONS FOR GOUT AMONG US BLACKS VS WHITES – 2019 NATIONWIDE ANALYSIS

Background

Gout is a highly prevalent inflammatory arthritis with increasing global disease burden in recent years.1,2 Gout prevalence has been reported to be higher among Blacks compared to Whites,3 and that they are less likely to receive allopurinol in outpatient care.4 The potential nationwide impact of these racial disparities on emergency department (ED) visits and hospitalizations is unknown.

Objectives

To examine the contemporary racial disparities in ED visits and hospitalizations with a primary discharge diagnosis of gout in the US (2019).

Methods

We compared ED visits and hospitalizations between Blacks and Whites in the latest data (2019) from the US National Emergency Department Sample (NEDS) and National Inpatient Sample (NIS). We focused on encounters for which the primary diagnosis was gout based on ICD codes (M1A.xx, M10.xx). We calculated annual population rates of ED visits and hospitalizations for gout (per 100,000 US adults) using the 2019 US census adult population (>18 years) according to race.

Results

There were a total of 160,759 ED visits and 9,560 hospitalizations among White and Blacks with a gout diagnosis in the US in 2019. The mean age (58.2 years vs. 56.5 years) and male proportion (78.0% vs. 74.8%) tended to be higher among Whites, while more Blacks tended to live in the South (40.7% vs. 66.5%) and reported a median household income of < $50,000 (30.7% vs. 57.1%). Compared to Whites, Blacks had 2.7- and 3.2-fold higher rates of gout ED visits and hospitalizations, respectively, after adjusting for age, sex, payer, region, and household income (Table 1 & Figure 1). Black women, in particular, had 3.4- and 4.0-fold higher rates of ED visits and hospitalizations compared to White women, while the corresponding rate ratios for men were 2.5 and 2.8, respectively. The mean costs per gout ED visit were similar for Blacks compared to Whites (adjusted difference, -$7.6 [95% CI, -25.4 to 1.0]), while hospitalizations were more costly (adjusted difference, $1,055.3 [95% CI, 553.1 to 1557.5]). The duration of ED visits and hospitalizations was also higher among Blacks than Whites (adjusted difference of 0.41 days [95% CI, 0.19 to 0.63] and 0.59 days [95% CI, 0.25 to 0.94], respectively).

Table 1.

Racial Disparities in Emergency Department Visits and Hospitalizations with Primary Diagnosis of Gout in 2019

Emergency Department VisitsHospitalizationsRaceWhiteBlackWhiteBlackAll6801196524521330198510434519150Visits, N888107194962003360Rate per 100,000130.6293.431.274.4Rate Ratio (95% CI)*1.0 (ref)2.81 (2.63, 3.00)1.0 (ref)3.08 (2.79, 3.40)Rate Ratio (95% CI)**1.0 (ref)2.66 (2.50, 2.82)1.0 (ref)3.17 (2.86, 3.50)Women3785136914363031110390932647105Visits, N195671816317701145Rate per 100,00051.7126.516.043.3Rate Ratio (95% CI)*1.0 (ref)3.68 (3.39, 3.99)1.0 (ref)4.01 (3.40, 4.73)Rate Ratio (95% CI)**1.0 (ref)3.36 (3.11, 3.62)1.0 (ref)4.02 (3.39, 4.78)Men301561011015657388098151871620Visits, N692285378344302215Rate per 100,000229.6529.550.3118.3Rate Ratio (95% CI)*1.0 (ref)2.59 (2.42, 2.78)1.0 (ref)2.66 (2.36, 3.00)Rate Ratio (95% CI)**1.0 (ref)2.47 (2.32, 2.64)1.0 (ref)2.77 (2.45, 3.14)

*Adjusted for age and sex for all, adjusted for age for sex-specific rate ratios

**Adjusted for age, sex, payment, region, and household income

Conclusion

These latest national data indicate that ED visits and hospitalization due to gout are both 3 times higher among Blacks than Whites; this disparity was particularly prominent among women with gout. Higher risk of developing gout3 and suboptimal care4 both translate to these avoidable costly healthcare utilizations, calling for improved primary prevention and gout care.

References

[1]Safiri et al., PMID 32755051

[2]Xia et al., PMID 31624843

[3]Chen-Xu et al., PMID 30618180

[4]Krishnan et al., PMID 18260174

Disclosure of Interests

Chio Yokose: None declared, Natalie McCormick: None declared, Na Lu: None declared, Amit Joshi: None declared, Lesley Jackson: None declared, Minna Kohler Speakers bureau: Lilly, Consultant of: Mymee, Novartis, Grant/research support from: Setpoint Medical, Janeth Yinh: None declared, Yuqing Zhang: None declared, Kenneth Saag Consultant of: Arthrosi, Atom Bioscience, Horizon Therapeutics, LG Pharma, Mallinkrodt, SOBI, Takeda, Grant/research support from: Horizon Therapeutics, SOBI, Shanton, Hyon Choi Consultant of: Ironwood, Selecta, Horizon, Takeda, Kowa, and Vaxart, Grant/research support from: Ironwood and Horizon

Short term outcome of patients attending a renal-immunology clinic in central India

Background:

Glomerular diseases (GDs) and other renal immunologic diseases are an important cause of morbidity and mortality. Providing a single point of service in collaboration with various specialists at a renal immunology clinic for such patients is not novel, but outcomes have not been reported. Here, we report the short-term outcome of Indian patients attending our clinic.

Methods:

This single-center prospective cohort study enrolled biopsy-proven immunologically-mediated adults with renal diseases between April 2018 and December 2019, and followed them for six months. The primary end point for the analysis was an incidence of end-stage renal disease (ESRD) or loss of >50% estimated glomerular filtration rate (eGFR) and patient survival at six months. Secondary endpoints were the rate of complete or partial remission, and impact of demographic factors.

Results:

Ninety two patients underwent renal biopsy for suspected immunological renal diseases. Fourteen (15.2%) cases were excluded for nonimmune etiologies, whereas 78 (84.7%) confirmed cases of immune etiology were included. Most common primary GD (n = 51) (93.5%) was membranous nephropathy (n = 20) (25.6%), whereas lupus nephritis was the most common (n = 8) (29.6%) secondary GD. Overall, 10 (12.8%) patients reached renal endpoint of ESRD or >50% fall in eGFR. Focal segmental glomerulosclerosis (FSGS) (27%) patients had worst renal outcome. Patient survival was 94.8%. Thirty patients (38.4%) achieved complete, whereas 24 each (30.7%) achieved partial remission and remained resistant to disease specific therapies, respectively. Univariate analysis identified hypertension, severity of hypertension, and resistance to achieve proteinuria remission as significantly associated (P < 0.001) factors with poor renal outcome.

Conclusions:

The present study shows that short term renal outcome of Indian patients with renal immune diseases remains poor. FSGS remains the GD with the worst renal outcome. Hypertension, its severity, failure to achieve proteinuria remission were significantly associated with poor renal outcomes.

177 Broad Ligament Hernia: Two Contrasting Ways to a Common Goal – Two Case Reports

Introduction

Broad ligament hernia (BLH) is a rare but potentially life-threatening condition. One of the two cases described here is the only reported case of BLH in recent literature, where marsupialization was done. These two case reports comprise the only reported side-by-side pictorial comparison of the two laparoscopic surgical therapeutic options for BLH.

Presentation of cases

Both patients presented with classical symptoms and signs of acute intestinal obstruction. Imaging confirmed obstructed left BLH in case 2 and indicated a complete small bowel obstruction in case 1. Both cases were successfully managed laparoscopically. Both patients had an uneventful immediate postoperative recovery and have not had recurrence over a mean follow-up period of 34.5 months.

Discussion

BLH is rare among all types of internal herniae. It accounts for only 4% of internal herniae and is a difficult condition to diagnose. The advent of computed tomography has increased the chances of accurate preoperative diagnosis.

Conclusion

BLH can be successfully managed by minimally invasive surgery, even in the acute setting. When tightly entrapped bowel is unyielding; it is better not to risk injury to it by aggressive attempts at its reduction. It is safer to attempt widening of the defect into which it is entrapped, whenever feasible.

Plasma cell rich acute rejection: Risk factors, treatment and outcomes

Plasma cell-rich rejection is a rare and poorly defined entity. Its treatment is not clearly defined and has universally poor prognosis. More data should be published from various transplant centers around the world to identify the treatment that has the best outcomes and to formulate treatment guidelines for these cases. It is a retrospective analysis of kidney biopsies form 2008 to 2018. Four hundred biopsied were screened and 55 were found to have features of rejection and among them, 13 had plasma cell-rich rejection. Data of treatment given and the graft survival outcomes in these cases were retrieved by medical records. One patient had complete recovery, three had graft loss and the remaining nine had permanent decline in glomerular filtration rate. Decrease in immunosuppression and presence of infection are risk factors for plasma cell-rich acute rejection (PCAR). It can be acute cell-mediated rejection (ACR)/antibody-mediated rejection (AMR)/ACR+AMR. Resistant rejection, ACR+AMR, C4d positivity, and severe interstitial inflammation are poor prognostic factors. Overzealous decrease in immunosuppression should not be done. Management of immunosuppression during infection is most critical for the development of PCAR. Bortezomib is emerging as a therapeutic modality for the treatment of PCAR.

Post-cricoid and Upper Oesophagus Cancers Treated with Organ Preservation Using Intensity-modulated Image-guided Radiotherapy: a Phase II Prospective Study of Outcomes, Toxicity and Quality of Life

AIMS

To prospectively examine the outcomes, toxicity and quality of life (QoL) of patients with post-cricoid and upper oesophagus (PCUE) cancers treated with an organ-preservation approach of (chemo)-radiotherapy using intensity-modulated image-guided radiotherapy (IM-IGRT).

MATERIALS AND METHODS

This phase II prospective study was conducted at a tertiary cancer centre from February 2017 to January 2020. Forty patients with squamous cell carcinoma of PCUE of stage T1-3, N0-2, M0 were accrued. Gross exolaryngeal extension/dysfunctional larynx were major exclusion criteria. Patients received 63-66 Gy in once-daily fractions using volumetric modulated arc therapy with daily IGRT. Outcome measures included disease-related outcomes, patterns of failure, Radiation Therapy Oncology Group toxicities, feeding tube dependency and QoL.

RESULTS

The median follow-up was 22 months. Twenty-six (87.5%) patients had locoregionally advanced disease and 34 (85%) patients received (chemo)-radiotherapy. A complete response was observed in 26 (65%) patients. The 2-year locoregional control, event-free survival and cause-specific survival were 59.6%, 40.2% and 44.8%, respectively. The volume of primary tumour (GTVPvol) exceeding 28 cm³ had inferior overall survival (P = 0.005) on univariate analysis. Multivariable analysis showed GTVPvol and positron emission tomography-computed tomography maximum standardised uptake value to be independently predictive for event-free and overall survival. A feeding tube requirement at presentation was seen in 11 (27.5%) patients, whereas long-term feeding tube dependency at 6 months was seen in 10 (37%) patients. For QoL, a statistical improvement in pain, appetite loss and swallowing was observed over time.

CONCLUSION

Although the outcomes of PCUE cancers remain dismal, the use of state of the art diagnostic modalities, careful case selection and modern radiotherapy techniques improved outcomes as compared with before in this exclusive analysis of PCUE cancers.

Non-linear and non-additive associations between the pregnancy metabolome and birthweight

BACKGROUND

Birthweight is an indicator of fetal growth and environmental-related alterations of birthweight have been linked with multiple disorders and conditions progressing into adulthood. Although a few studies have assessed the association between birthweight and the totality of exogenous exposures and their downstream molecular responses in maternal urine and cord blood; no prior research has considered a) the maternal serum prenatal metabolome, which is enriched for hormones, and b) non-linear and synergistic associations among exposures.

METHODS

We measured the maternal serum metabolome during pregnancy using an untargeted metabolomics approach and birthweight for gestational age (BWGA) z-score in 410 mother-child dyads enrolled in the PRogramming of Intergenerational Stress Mechanisms (PRISM) cohort. We leveraged a Bayesian factor analysis for interaction to select the most important metabolites associated with BWGA z-score and to evaluate their linear, non-linear and non-additive associations. We also assessed the primary biological functions of the identified proteins using the MetaboAnalyst, a centralized repository of curated functional information. We compared our findings with those of a traditional metabolite-wide association study (MWAS) in which metabolites are individually associated with BWGA z-score.

RESULTS

Among 1110 metabolites, 46 showed evidence of U-shape associations with BWGA z-score. Most of the identified metabolites (85%) were lipids primarily enriched for pathways central to energy production, immune function, and androgen and estrogen metabolism, which are essential for pregnancy and parturition processes. Metabolites within the same class, i.e. steroids and phospholipids, showed synergistic relationships with each other.

CONCLUSIONS

Our results support that the aspects of the maternal metabolome during pregnancy contribute linearly, non-linearly and synergistically to variation in newborn birthweight.