Haarhaus M, Santos C, Haase M, et al. - Future preventive strategies can be developed in light of experiences from the first wave of the 2019 coronavirus disease (COVID-19) pandemic. Researchers here created risk prediction models for COVID-19 incidence and mortality among haemodialysis (HD) patients. From a multi-national dialysis cohort, a total of 38,256 HD patients were studied between March 3 and July 3 2020. Infection with COVID-19 was diagnosed in 1,259 patients (3.3%) during the observational period. Of these, 62% were hospitalized or died. Among COVID-19 patients, mortality was 22% with odds ratios 219.8 to 342.7, compared with matched patients without COVID-19. Living in a nursing home was identified to be the strongest independent predictor of COVID-19 infection. Following were the other common risk factors: a higher BMI, a lower educational level and a lower serum albumin concentration before COVID-19 diagnosis, whereas age above 70 years was identified to be linked with a lower incidence of COVID-19. Noteworthy, a lower incidence of COVID-19 was observed in European patients in independent correlation with angiotensin receptor blockers. In clinical practice, the developed risk prediction tools can be readily applied. The development of preventive strategies for future waves of COVID-19 can be performed in light of the current study.