Short daily haemodialysis: survival in 415 patients treated for 1006 patient-years.

BACKGROUND: Survival statistics for daily haemodialysis are lacking as most centres providing this have treated only a small number of patients for short observation times. We pooled our 23-year, 1006-patient-year, five-centre experience of 415 patients treated by short daily haemodialysis. METHODS: One hundred and fifty patients were treated in-centre, most because of medical complications and 265 by home or self-care haemodialysis. Patients were on daily haemodialysis for 29 +/- 31 (0-272) months. Forty-two percent had primary and 31% had secondary renal failure. Treatment time was 136 +/- 35 min, frequency 5.8 +/- 0.5 times/week and weekly stdKt/V 2.7 +/- 0.55. RESULTS: Eighty-five patients (20%) died; 5-year cumulative survival was 68 +/- 4.1% and 10-year survival was 42 +/- 9%. Age, secondary renal failure and in-centre dialysis were associated with mortality, while gender, frequency of dialysis (5, 6 or 7 per week), continent, country and blood access were not. Survival was compared with matched patients from the USRDS 2005 Data Report using the standardized mortality ratio and cumulative survival curves. Both comparisons showed that the survival of the daily haemodialysis patients was 2-3 times higher and the predicted 50% survival time 2.3-10.9 years longer than that of the matched US haemodialysis patients. Survival of patients dialyzing daily at home was similar to that of age-matched recipients of deceased donor renal transplants. CONCLUSIONS: Survival of patients on short daily haemodialysis was 2-3 times better than that of matched three times weekly haemodialysis patients reported by the USRDS.

Diabetes complications severity index and risk of mortality, hospitalization, and healthcare utilization.

OBJECTIVE: To determine whether the number and severity of diabetes complications are associated with increased risk of mortality and hospitalizations. STUDY DESIGN: Validation sample. METHODS: The Diabetes Complications Severity Index (DCSI) was developed from automated clinical baseline data of a primary care diabetes cohort and compared with a simple count of complications to predict mortality and hospitalizations. Cox proportional hazard and Poisson regression models were used to predict mortality and hospitalizations, respectively. RESULTS: Of 4229 respondents, 356 deaths occurred during 4 years of follow-up. Those with 1 complication did not have an increased risk of mortality, whereas those with 2 complications (hazard ratio [HR] = 1.90, 95% confidence interval [CI] = 1.27, 2.83), 3 complications (HR = 2.66, 95% CI = 1.77, 4.01), 4 complications (HR = 3.41, 95% CI = 2.18, 5.33), and >5 complications (HR = 7.18, 95% CI = 4.39, 11.74) had greater risk of death. Replacing the complications count with the DCSI showed a similar mortality risk. Each level of the continuous DCSI was associated with a 1.34-fold (95% CI = 1.28, 1.41) greater risk of death. Similar results were obtained for the association of the DCSI with risk of hospitalization. Comparison of receiver operating characteristic curves verified that the DCSI was a slightly better predictor of mortality than a count of complications (P < .0001). CONCLUSION: Compared with the complications count, the DCSI performed slightly better and appears to be a useful tool for prediction of mortality and risk of hospitalization.