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1.
PLoS One ; 16(12): e0260942, 2021.
Article in English | MEDLINE | ID: mdl-34879093

ABSTRACT

BACKGROUND: Acute kidney injury (AKI) is a major health problem associated with considerable mortality and morbidity. Studies on clinical outcomes and mortality of AKI in the emergency department are scarce. The aim of this study is to assess incidence, mortality and renal outcomes after AKI in patients with suspected infection at the emergency department. METHODS: We used data from the SPACE-cohort (SePsis in the ACutely ill patients in the Emergency department), which included consecutive patients that presented to the emergency department of the internal medicine with suspected infection. Hazard ratios (HR) were assessed using Cox regression to investigate the association between AKI, 30-days mortality and renal function decline up to 1 year after AKI. Survival in patients with and without AKI was assessed using Kaplan-Meier analyses. RESULTS: Of the 3105 patients in the SPACE-cohort, we included 1716 patients who fulfilled the inclusion criteria. Of these patients, 10.8% had an AKI episode. Mortality was 12.4% for the AKI group and 4.2% for the non-AKI patients. The adjusted HR for all-cause mortality at 30-days in AKI patients was 2.8 (95% CI 1.7-4.8). Moreover, the cumulative incidence of renal function decline was 69.8% for AKI patients and 39.3% for non-AKI patients. Patients with an episode of AKI had higher risk of developing renal function decline (adjusted HR 3.3, 95% CI 2.4-4.5) at one year after initial AKI-episode at the emergency department. CONCLUSION: Acute kidney injury is common in patients with suspected infection in the emergency department and is significantly associated with 30-days mortality and renal function decline one year after AKI.


Subject(s)
Acute Kidney Injury/mortality , Emergency Service, Hospital/statistics & numerical data , Infections/complications , Mortality/trends , Acute Kidney Injury/epidemiology , Acute Kidney Injury/etiology , Acute Kidney Injury/pathology , Aged , Case-Control Studies , Cohort Studies , Female , Humans , Incidence , Male , Middle Aged , Netherlands/epidemiology , Prognosis , Risk Factors , Survival Rate
2.
BMC Nephrol ; 22(1): 371, 2021 11 08.
Article in English | MEDLINE | ID: mdl-34749693

ABSTRACT

BACKGROUND: Acute kidney injury (AKI) incidence is increasing, however AKI is often missed at the emergency department (ED). AKI diagnosis depends on changes in kidney function by comparing a serum creatinine (SCr) measurement to a baseline value. However, it remains unclear to what extent different baseline values may affect AKI diagnosis at ED. METHODS: Routine care data from ED visits between 2012 and 2019 were extracted from the Utrecht Patient Oriented Database. We evaluated baseline definitions with criteria from the RIFLE, AKIN and KDIGO guidelines. We evaluated four baseline SCr definitions (lowest, most recent, mean, median), as well as five different time windows (up to 365 days prior to ED visit) to select a baseline and compared this to the first measured SCr at ED. As an outcome, we assessed AKI prevalence at ED. RESULTS: We included 47,373 ED visits with both SCr-ED and SCr-BL available. Of these, 46,100 visits had a SCr-BL from the - 365/- 7 days time window. Apart from the lowest value, AKI prevalence remained similar for the other definitions when varying the time window. The lowest value with the - 365/- 7 time window resulted in the highest prevalence (21.4%). Importantly, applying the guidelines with all criteria resulted in major differences in prevalence ranging from 5.9 to 24.0%. CONCLUSIONS: AKI prevalence varies with the use of different baseline definitions in ED patients. Clinicians, as well as researchers and developers of automatic diagnostic tools should take these considerations into account when aiming to diagnose AKI in clinical and research settings.


Subject(s)
Acute Kidney Injury/diagnosis , Creatinine/blood , Emergency Service, Hospital , Practice Guidelines as Topic/standards , Acute Kidney Injury/blood , Acute Kidney Injury/epidemiology , Biomarkers/blood , Female , Glomerular Filtration Rate , Humans , Male , Middle Aged , Netherlands/epidemiology , Prevalence , Retrospective Studies
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