Acute Kidney Injury, Age, and Socioeconomic Deprivation: Evaluation of a National Data Set.

INTRODUCTION: This study examined the relationship among age, measures of social deprivation, and incidence and outcome of acute kidney injury (AKI). METHODS: The Welsh National electronic AKI reporting system was used to identify all cases of AKI in patients 18 years or older between March 2015 and January 2017. Socioeconomic classification of patients was derived from the Welsh Index of Multiple Deprivation (WIMD). Patients were grouped according to their WIMD score, and Multivariate Cox proportional hazard modeling was used to adjust the data for age. The ranked data were categorized into percentiles and correlated with incidence, and measures of AKI severity and outcome. RESULTS: Analysis included 57,654 patients. For the whole cohort, the highest 90-day survival was associated with the most socially deprived cohorts. There was a significant negative relationship between age-adjusted incidence of AKI and the WIMD score. In patients 60 years or older, there was an inverse correlation between WIMD score and survival that was not evident in those younger than 60. AKI severity at presentation was worse in patients from areas of social deprivation. Social deprivation was associated with a significantly higher proportion of preexisting chronic kidney disease (CKD) in patients with AKI older than 60, but not in those younger than 60. CONCLUSION: Overall mortality following AKI was higher in least-deprived areas, reflecting an older patient cohort. In contrast, social deprivation was associated with higher age-adjusted AKI incidence and age-adjusted mortality following AKI. The excess mortality observed in more deprived areas was associated with more severe AKI and a higher proportion of preexisting CKD.

Seasonal pattern of incidence and outcome of Acute Kidney Injury: A national study of Welsh AKI electronic alerts.

OBJECTIVES: To identify any seasonal variation in the occurrence of, and outcome following Acute Kidney Injury. METHODS: The study utilised the biochemistry based AKI electronic (e)-alert system established across the Welsh National Health Service to collect data on all AKI episodes to identify changes in incidence and outcome over one calendar year (1st October 2015 and the 30th September 2016). RESULTS: There were total of 48 457 incident AKI alerts. The highest proportion of AKI episodes was seen in the quarter of January to March (26.2%), and the lowest in the quarter of October to December (23.3%, P < .001). The same trend was seen for both community-acquired and hospital-acquired AKI sub-sets. Overall 90 day mortality for all AKI was 27.3%. In contrast with the seasonal trend in AKI occurrence, 90 day mortality after the incident AKI alert was significantly higher in the quarters of January to March and October to December compared with the quarters of April to June and July to September (P < .001) consistent with excess winter mortality reported for likely underlying diseases which precipitate AKI. CONCLUSIONS: In summary we report for the first time in a large national cohort, a seasonal variation in the incidence and outcomes of AKI. The results demonstrate distinct trends in the incidence and outcome of AKI.

The impact of acute kidney injury in diabetes mellitus.

BACKGROUND: Little data exist on outcome of acute kidney injury (AKI) in diabetes. We describe short-term recovery of renal function, patient mortality and progressive renal dysfunction following AKI in diabetic patients. METHODS: Using the diagnosis of either diabetes or no diabetes as the defining variable, AKI episodes were identified from records of a clinical biochemistry department serving a population of 560 000. Patient co-morbidity and mortality were collated from electronic patient records. Outcomes were compared with a non-diabetic cohort with AKI. RESULTS: Acute kidney injury was identified in 101 diabetic and 392 non-diabetic patients. Patients with diabetes had less severe AKI, compared with the non-diabetic cohort (AKI stage 1 76% vs 55%, P = 0.0006). Overall acute mortality, and mortality adjusted for co-morbidity, was comparable in the diabetic and non-diabetic groups. Recovery to baseline renal function was greater in diabetic patients (87% vs 63% P = 0.001), and the proportion of patients developing progressive chronic kidney disease was lower in the (14%) compared with the non-diabetic cohort (48%, P < 0.00001). CONCLUSIONS: Although acute mortality is comparable following an AKI episode in diabetic patients compared with that associated with AKI in a non-diabetic cohort, for those surviving the acute episode, its impact on renal function is significantly less than in a non-diabetic group.

Acute kidney injury risk assessment at the hospital front door: what is the best measure of risk?

BACKGROUND: We examined the prevalence of acute kidney injury (AKI) risk factors in the emergency medical unit, generated a modified risk assessment tool and tested its ability to predict AKI. METHODS: A total of 1196 patients admitted to medical admission units were assessed for patient-associated AKI risk factors. Subsequently, 898 patients were assessed for a limited number of fixed risk factors with the addition of hypotension and sepsis. This was correlated to AKI episodes. RESULTS: In the first cohort, the prevalence of AKI risk factors was 2.1 ± 2.0 per patient, with a positive relationship between age and the number of risk factors and a higher number of risk factors in patients ≥65 years. In the second cohort, 12.3% presented with or developed AKI. Patients with AKI were older and had a higher number of AKI risk factors. In the AKI cohort, 72% of the patients had two or more AKI risk factors compared with 43% of the cohort with no AKI. When age ≥65 years was added as an independent risk factor, 84% of those with AKI had two or more AKI risk factors compared with 55% of those with no AKI. Receiver operating characteristic analysis suggests that the use of common patient-associated known AKI risk factors performs no better than age alone as a predictor of AKI. CONCLUSIONS: Detailed assessment of well-established patient-associated AKI risk factors may not facilitate clinicians to apportion risk. This suggests that additional work is required to develop a more sensitive validated AKI-predictive tool that would be useful in this clinical setting.