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Introduction: While the association between gout and cardiovascular disease (CVD) has been extensively studied, scarce data is available for the Black population. We aimed to assess, in a predominantly Black urban population with gout, the prevalence of traditional CVD risk factors, CV outcomes, and the strength of the association between gout and CVD after adjusting for CVD risk factors. Hypothesis: Black patients with gout have higher CVD rates compared to a matched cohort without gout. Methods: Cross-sectional analysis of data obtained from the EMR of gout patients followed at our primary care clinics. Patients were identified by ICD codes and compared to age, sex and race matched non- gout cohort. Descriptive data was obtained, and logistic regression used to assess the strength of association between gout and CVD, before and after adjustment for CVD risk factors including obesity, DM, HTN, dyslipidemia and smoking. Results: There were 471 patients with gout with a mean age of 63.7 ± 0.5 years (mean ±SEM); 89% were Black, 63% were men, mean BMI was 31.3 ± 0.4 Kg/m 2 . HTN, DM and dyslipidemia were present in 89%, 46% and 52% respectively.Compared to controls, patients with gout had significantly higher rates of angina, arrythmia, CAD/stents, MI, CABG, CVA, and PVD. The odds ratio (OR) for CVD = 4.5 (3.3-6.2) (95% CI), p Conclusion: Gout in a predominantly Black population confers three times the CVD risk and overall mortality compared to a race, age and sex-matched cohort.This risk appears greater compared to previously published data in whites (OR 1.25-1.55) (Choi HK et al Circulation 2007;116:894-900). Further research is needed to confirm our findings and to develop interventions to reduce morbidity and mortality among these vulnerable patients.

OBJECTIVES: We examined the impact of the COVID19 pandemic on dietary intake in an inner-city population of CKD and KTx patients. METHODS: Dietary intake was assessed using 24-hour recall in a random sample of patients from CKD and Transplant clinics in 2019 (48) and in 2020 (30). Dietary assessments were conducted in person in 2019 and by phone in 2020. Diets were analyzed using ASA-24 software. Entries with less than 1,100 kcal were excluded from analysis. There was no difference in patterns between the two clinics so they were analyzed together. Statistical analysis was by t-test or Chi-square as appropriate. RESULTS: The 2019 cohort and the 2020 cohort were similar for age (55.9 ± 12.5 vs 60.0 ± 11.7, P = 0.148), gender (60.4% vs 43.3% male, P = 0.141), race (81.3% vs 69.2% Black, P = 0.241), and education (75% vs 80.8% with less than a college degree, P = 0.573). The 2020 patients consumed fewer total calories (1513.16 ± 350.82 vs 1731.02 ± 573.07 kcal, P = 0.041) compared to 2019 patients. For macronutrients, the 2020 cohort ate less protein (72.59 ± 24.40 vs 88.44 ± 37.17 g, P = 0.030), with no significant difference in total fat (62.11 ± 19.38 vs 72.59 ± 38.85 g, P = 0.118) and carbohydrate intake (163.08 ± 64.75 vs 185.02 ± 76.46 g, P = 0.179). In relation to protein intake, the 2020 cohort consumed less protein-rich foods such as meat, poultry, seafood, organ meat and cured meat compared to the 2019 cohort (6.74 ± 3.21 vs 8.83 ± 5.53 oz. eq., P = 0.038). Dark green vegetable consumption was also significantly less in the 2020 cohort (0.14 ± 0.29 vs 0.35 ± 0.60 cup eq., P = 0.031). Finally, the 2020 cohort consumed less water (1883.98 ± 1005.99 vs 2694.12 ± 1410.35 g, P = 0.004). CONCLUSIONS: In our population: 1. CKD and Transplant patients consumed less protein and water during the Covid-19 pandemic than in the previous year. 2. Consumption of dark green vegetables and protein-rich foods decreased significantly during the pandemic. 4. The cause of these findings may be secondary to food insecurity and/or unhealthy behaviors emerging during the COVID19 pandemic and should be explored further as poor nutrition could contribute to worse outcomes in these populations. FUNDING SOURCES: Unfunded

OBJECTIVES: A Plant-Based Eating (PBE) dietary pattern is reportedly beneficial for pts with kidney disease but attitudes of CKD/ESKD patients regarding plant-based eating and dietary habits have been rarely reported. METHODS: A face-to-face survey was conducted in a random convenience sample of people attending CKD clinic (15), Transplant clinic (12), and the Dialysis Unit (4). Pts were given multiple choice questions assessing their attitudes and understanding of plant-based eating and asked to estimate daily vegetable intake. No difference was noted among clinics so data were analyzed together. Comparisons are by t-test unless noted. RESULTS: Mean age was 54.7 ± 1.7 yrs with 16 (53%) men, 25 (80%)Black, 12 (40%) had an income < $20 K, with 10 (33%) between $20 K and 40 K. 10 (33%) were employed. 64.5% (20) were interested in learning more about PBE; 35% had never heard of PBE. 22(71%) reported that they consume animal protein 1–3x daily or more. 20 (57%) reported that they consume plant-based protein less than once a day or never. Pts who did not eat vegetables regularly had a higher BMI than those who ate plants more frequently (30.9 ± 1.86 vs 26.3 ± 0.96, P

OBJECTIVES: We compared beliefs about plant-based eating and dietary intake in patients attending inner-City CKD and Family Medicine (FM) clinics. METHODS: A face-to-face survey was conducted in a random convenience sample of pts in CKD (23) and FM clinics (22). Patients were asked to answer 5 multiple choice questions assessing their beliefs regarding difficulty in finding plant-based foods in restaurants, affordability, ability to get proteins and vitamins, and ability to find good tasting recipes. A mean score was calculated. Lower score indicates more difficulty (PBE-score). Diet analysis was based on 24hr recall and analyzed using ASA-24 software. Comparisons are by t-test unless noted. RESULTS: Mean age was 54.3 ± 2.5 yrs. There were 16 (35.6%) males and 22 (62.2%) females with 40 black (89%). 36 (80%) had not completed college. 23 (51%) had an income < $20 K. 16 (35%) were employed. 20 (44%) had diabetes. 22 (49%) received SNAP benefits. Mean BMI was 30.4 ± 1.6 with 41% > 30. There were no differences between clinics. CKD pts had higher creatinine (2.01 ± 0.39 vs 0.85 ± 0.05) and lower albumin (3.92 ± 0.12 vs 4.32 ± 0.09, P = 0.012). CKD pts had more positive attitude towards plant-based eating (PBE-score 2.57 ± 0.1 vs 2.21 ± 0.13, P

OBJECTIVES: We evaluated dietary intake in patients with kidney disease with and without diabetes in inner-city Brooklyn clinics. METHODS: A face-to-face survey was conducted in a random convenience sample of pts from CKD (23) and transplant (45) clinics. Diet was studied by 24-hour recall using ASA24 software. Healthy Eating Index was calculated using the HEI-15 score and the DASH index as standard. Between group comparison was by t-test unless noted. RESULTS: There were 37 males (54%) and 31 (46%) females, 56 (82%) Black, 24/62 (24%) received SNAP benefits. 24 (53%) transplant (TXP) and 13 (57%) CKD pts had diabetes (DIAB). By Chi square, DIAB were more likely to make < $20 K/yr (58% vs 23%, P = 0.015) and be unemployed (89% vs 61%, P = 0.018). DIAB were older (61.8 ± 1.6 vs 50.3 ± 2.25 yrs, P