BACKGROUND: Relative survival, a methodology previously used in epidemiologic studies of cancer, compares the observed survival of a patient cohort with expected survival derived from general population life tables. We examined relative survival in patients treated by long-term dialysis in the Italian Dialysis and Transplantation Registry in order to determine the prognosis of dialysis patients. STUDY DESIGN: Cohort study drawn from a registry. SETTING & PARTICIPANTS: Patients enrolled in the Italian Dialysis and Transplantation Registry. FACTORS: Sex, age, primary kidney disease, renal replacement therapy modality, and main comorbid conditions. OUTCOMES: Death from any cause. MEASUREMENTS: Relative survival ratio (the ratio of observed survival in the population of interest to the survival expected given the age- and period-specific mortality of the general population) and excess mortality rate (difference between observed and expected mortality rates). RESULTS: In January 2000 to December 2008, a total of 27,642 patients were included. The 5-year relative survival estimate was 55.6% (95% CI, 54.7%-56.5%). The excess mortality rate showed a peak at 3 months (21 deaths/100 patient-years), then decreased, becoming constant from the end of year 1 to year 8, with leveling off at about 10 deaths/100 patient-years. Older age, systemic diseases, and diabetes showed the strongest association with excess mortality. Peritoneal dialysis was associated with a lower relative excess risk in only the first year of treatment. LIMITATIONS: The patient cohort comprises about half the Italian patients beginning dialysis therapy in the period. CONCLUSIONS: This study highlights the applicability of relative survival methods in dialysis patients. This measure allows estimation of disease prognosis and severity comparisons among chronic diseases. The excess mortality rate appears to be a more sensitive and informative measure than the simple proportion of survivors.
BACKGROUND: Relative survival, a methodology previously used in epidemiologic studies of cancer, compares the observed survival of a patient cohort with expected survival derived from general population life tables. We examined relative survival in patients treated by long-term dialysis in the Italian Dialysis and Transplantation Registry in order to determine the prognosis of dialysis patients. STUDY DESIGN: Cohort study drawn from a registry. SETTING & PARTICIPANTS: Patients enrolled in the Italian Dialysis and Transplantation Registry. FACTORS: Sex, age, primary kidney disease, renal replacement therapy modality, and main comorbid conditions. OUTCOMES: Death from any cause. MEASUREMENTS: Relative survival ratio (the ratio of observed survival in the population of interest to the survival expected given the age- and period-specific mortality of the general population) and excess mortality rate (difference between observed and expected mortality rates). RESULTS: In January 2000 to December 2008, a total of 27,642 patients were included. The 5-year relative survival estimate was 55.6% (95% CI, 54.7%-56.5%). The excess mortality rate showed a peak at 3 months (21 deaths/100 patient-years), then decreased, becoming constant from the end of year 1 to year 8, with leveling off at about 10 deaths/100 patient-years. Older age, systemic diseases, and diabetes showed the strongest association with excess mortality. Peritoneal dialysis was associated with a lower relative excess risk in only the first year of treatment. LIMITATIONS: The patient cohort comprises about half the Italian patients beginning dialysis therapy in the period. CONCLUSIONS: This study highlights the applicability of relative survival methods in dialysis patients. This measure allows estimation of disease prognosis and severity comparisons among chronic diseases. The excess mortality rate appears to be a more sensitive and informative measure than the simple proportion of survivors.
Authors: Maciej Nowacki; Tomasz Kloskowski; Marta Pokrywczyńska; Łukasz Nazarewski; Arkadiusz Jundziłł; Katarzyna Pietkun; Dominik Tyloch; Marta Rasmus; Karolina Warda; Samy L Habib; Tomasz Drewa Journal: J Artif Organs Date: 2014-04-19 Impact factor: 1.731
Authors: Eric Yuk Fai Wan; Esther Yee Tak Yu; Weng Yee Chin; Daniel Yee Tak Fong; Edmond Pui Hang Choi; Eric Ho Man Tang; Cindy Lo Kuen Lam Journal: J Am Soc Nephrol Date: 2019-09-06 Impact factor: 10.121
Authors: Fliss E M Murtagh; Aine Burns; Olivier Moranne; Rachael L Morton; Saraladevi Naicker Journal: Clin J Am Soc Nephrol Date: 2016-08-10 Impact factor: 8.237
Authors: Melissa W Wachterman; Susan M Hailpern; Nancy L Keating; Manjula Kurella Tamura; Ann M O'Hare Journal: JAMA Intern Med Date: 2018-06-01 Impact factor: 21.873