BACKGROUND: A prognostic scoring system for hospital mortality in acute renal failure (Stuivenberg Hospital Acute Renal Failure, SHARF score) was developed in a single-centre study. The scoring system consists of two scores, for the time of diagnosis of acute renal failure (ARF) and for 48 h later, each originally based on four parameters (age, serum albumin, prothrombin time and heart failure). The scoring system was now tested and adapted in a prospective study. METHODS: The study involved eight intensive care units. We studied 293 consecutive patients with ARF in 6 months. Their mortality was 50.5%. The causes of ARF were medical in 184 (63%) patients and surgical in 108 (37%). In the latter group, 74 (69%) patients underwent cardiac and 19 (18%) vascular surgery. RESULTS: As the performance of the original SHARF scores was much lower in the multicentre study than in the original single-centre study, we re-analysed the multicentre data to customize the original model for the population studied. The independent variables were the score developed in the original study plus all additonal parameters that were significant on univariate analysis. The new multivariate analysis revealed an additional subset of three parameters for inclusion in the model (serum bilirubin, sepsis and hypotension). For the modified SHARF II score, r(2) was 0.27 at 0 and 0.33 at 48 h, respectively, the receiver operating characteristic (ROC) values were 0.82 and 0.83, and the Hosmer-Lemeshow goodness-of-fit P values were 0.19 and 0.05. CONCLUSION: After customizing and by using two scoring moments, this prediction model for hospital mortality in ARF is useful in different settings for comparing groups of patients and centres, quality assessment and clinical trials. We do not recommend its use for individual patient prognosis.
BACKGROUND: A prognostic scoring system for hospital mortality in acute renal failure (Stuivenberg Hospital Acute Renal Failure, SHARF score) was developed in a single-centre study. The scoring system consists of two scores, for the time of diagnosis of acute renal failure (ARF) and for 48 h later, each originally based on four parameters (age, serum albumin, prothrombin time and heart failure). The scoring system was now tested and adapted in a prospective study. METHODS: The study involved eight intensive care units. We studied 293 consecutive patients with ARF in 6 months. Their mortality was 50.5%. The causes of ARF were medical in 184 (63%) patients and surgical in 108 (37%). In the latter group, 74 (69%) patients underwent cardiac and 19 (18%) vascular surgery. RESULTS: As the performance of the original SHARF scores was much lower in the multicentre study than in the original single-centre study, we re-analysed the multicentre data to customize the original model for the population studied. The independent variables were the score developed in the original study plus all additonal parameters that were significant on univariate analysis. The new multivariate analysis revealed an additional subset of three parameters for inclusion in the model (serum bilirubin, sepsis and hypotension). For the modified SHARF II score, r(2) was 0.27 at 0 and 0.33 at 48 h, respectively, the receiver operating characteristic (ROC) values were 0.82 and 0.83, and the Hosmer-Lemeshow goodness-of-fit P values were 0.19 and 0.05. CONCLUSION: After customizing and by using two scoring moments, this prediction model for hospital mortality in ARF is useful in different settings for comparing groups of patients and centres, quality assessment and clinical trials. We do not recommend its use for individual patient prognosis.
Authors: Abdulrahman M Alhassan; Ahmad Aldayel; Abdullah Alharbi; Mahfooz Farooqui; Mohammed H Alhelal; Faisal Alhusain; Abdulkareem Abdullah; Mohammed Altoyan Journal: Cureus Date: 2022-01-13
Authors: Nattachai Srisawat; Raghavan Murugan; Minjae Lee; Lan Kong; Melinda Carter; Derek C Angus; John A Kellum Journal: Kidney Int Date: 2011-06-15 Impact factor: 10.612
Authors: Monique M Elseviers; Robert L Lins; Patricia Van der Niepen; Eric Hoste; Manu L Malbrain; Pierre Damas; Jacques Devriendt Journal: Crit Care Date: 2010-12-01 Impact factor: 9.097