Abstract Background and Aims Cardiorenal syndrome (CRS) is associated with poor outcomes. However, risk factors for progressive CRS are not well studied in patients with chronic kidney disease (CKD). We studied the incidence and risk factors for progressive CRS in a cohort of CKD patients. Method 3 557 participants with CKD in the Chronic Renal Insufficiency Cohort (CRIC) Study were included in this analysis after excluding those with heart failure (HF) at baseline visits. The mean follow-up time was 10.5 years. Progressive CRS was defined as development of both HF and renal failure (RF) (dialysis or transplant) within 12 months of each other. Cox proportional hazards models were used to examine the association of risk factors with progressive CRS. In a sensitivity analysis, risk factors for CRS type 2 (HF preceded RF during entire follow up) and CRS type 4 (RF preceded HF) were analyzed. Results The average baseline age was 59 years for those with progressive CRS and 57 years for those without. The age-adjusted incidence of progressive CRS was 4.5/1000 person-years and was 5.0/1000 person-years in Men and 5.9 in Black. The multivariable-adjusted hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) for traditional risk factors are as follow: less than high school education (1.82, 1.2-2.73), history of cardiovascular disease (CVD) (1.48, 1.03-2.12), lower educational attainment (per 1 standard deviation [SD]) in eGFR (1.83, 1.40-2.39), and higher (per 1 SD) albumin-to-creatinine ratio (ACR) (2.26, 1.78-2.86). The multivariable-adjusted HRs with corresponding 95% CIs for a one-standard deviation increase in novel risk factors are as follows: hemoglobin (0.82, 0.68-0.99), hemoglobin A1C (1.31, 1.14-1.52), log alkaline phosphatase (1.18, 1.00-1.38), and log brain natriuretic peptide (1.32, 1.10-1.57), adjusting for age, sex, race, clinic sites, and all significant traditional risk factors (education, CVD, eGFR, and ACR). In sensitivity analysis, the risk factor associated with both CRS type 2 and 4 were kidney dysfunction, albuminuria, and mineral bone disorder (higher alkaline phosphatase and FGF23), inflammation (TNF-α), and fibrotic factor (GDF-15), while diabetes, CVD, systolic blood pressure, waist circumference, anemia, HbA1c, and volume overload were more strongly associated with CRS type 2 compared to CRS type 4. Conclusion This study indicates that education level, history of CVD, kidney dysfunction, albuminuria, mineral bone disorder, diabetes control, anemia, volume overload, inflammation, and fibrotic factors are associated with progressive CRS. Many of these risk factors are modifiable. Further studies are warranted to assess the benefits of specific interventions to improve CRS outcomes.