Do outcomes for patients with hospital-acquired Acute Kidney Injury (H-AKI) vary across specialties in England?

BACKGROUND: Acute Kidney Injury (AKI) is a common and serious clinical syndrome. There is increasing recognition of heterogeneity in observed AKI across different clinical settings. In this analysis we have utilised a large national dataset to outline, for the first time, differences in burden of hospital acquired AKI (H-AKI) and mortality risk across different treatment specialities in the English National Health Service (NHS). METHODS: A retrospective observational study was conducted using a large national dataset of patients who triggered a biochemical AKI alert in England during 2019. This dataset was enriched through linkage with NHS hospitals administrative and mortality data. Episodes of H-AKI were identified and attributed to the speciality of the supervising consultant during the hospitalisation episode in which the H-AKI alert was generated. Associations between speciality and death in hospital or within 30 days of discharge (30-day mortality) was modelled using logistic regression, adjusting for patient age, sex, ethnicity, socioeconomic status, AKI severity, season and method of admission. RESULTS: In total, 93,196 episodes of H-AKI were studied. The largest number of patients with H-AKI were observed under general medicine (21.9%), care of the elderly (18.9%) and general surgery (11.2%). Despite adjusting for differences in patient case-mix, 30-day mortality risk was consistently lower for patients in surgical specialities compared to general medicine, including general surgery (OR 0.65, 95% CI 0.61 to 0.7) and trauma and orthopaedics (OR 0.52, 95% CI 0.48 to 0.56). Mortality risk was highest in critical care (OR 1.78, 95% CI 1.56 to 2.03) and oncology (OR 1.74, CI 1.54 to 1.96). CONCLUSIONS: Significant differences were identified in the burden of H-AKI and associated mortality risk for patients across different specialities in the English NHS. This work can help inform future service delivery and quality improvement activity for patients with AKI across the NHS.

Centre variation in mortality following post-hospitalization acute kidney injury: analysis of a large national cohort.

BACKGROUND: Routine monitoring of outcomes for patients with acute kidney injury (AKI) is important to drive ongoing quality improvement in patient care. In this study we describe the development of a case mix-adjusted 30-day mortality indicator for patients with post-hospitalization AKI (PH-AKI) across England to facilitate identification of any unwarranted centre variation in outcomes. METHODS: We utilized a routinely collected national dataset of biochemically detected AKI cases linked with national hospitals administrative and mortality data. A total of 250 504 PH-AKI episodes were studied across 103 National Health Service hospital trusts between January 2017 and December 2018. Standardized mortality ratios (SMRs) were calculated for each trust using logistic regression, adjusting for age, sex, primary diagnosis, comorbidity score, AKI severity, month of AKI and admission method. RESULTS: The mean 30-day mortality rate was high, at 28.6%. SMRs for 23/103 trusts were classed as outliers, 12 above and 11 below the 95% confidence limits. Patients with PH-AKI had mortality rates >5 times higher than the overall hospitalized population in 90/136 diagnosis groups and >10 times higher in 60/136 groups. Presentation at trusts with a co-located specialist nephrology service was associated with a lower mortality risk, as was South Asian or Black ethnicity. Deprivation, however, was associated with higher mortality. CONCLUSIONS: This is the largest multicentre analysis of mortality for patients with biochemically ascertained PH-AKI to date, demonstrating once again the considerable risk associated with developing even mild elevations in serum creatinine. Mortality rates varied considerably across centres and those identified as outliers will now need to carefully interrogate local care pathways to understand and address the reasons for this, with national policy required to tackle the identified health disparities.

Polycystic kidney disease is a risk factor for new-onset diabetes after transplantation.

BACKGROUND: Data from matched historical cohort studies suggest that autosomal-dominant polycystic kidney disease (ADPKD) may be a risk factor for new-onset diabetes after transplantation (NODAT). METHOD: A retrospective study of 429 renal allografts transplanted from 1990 through 2004 in nondiabetic patients was performed. A multivariate analysis of risk factors for NODAT was performed with focus on ADPKD. RESULTS: A total of 6.5% of all patients developed NODAT and a further 11% developed impaired glucose tolerance. NODAT developed in 13.4% of patients with ADPKD compared with 5.2% of non-ADPKD patients (P=0.01). There were significant univariate associations between NODAT and recipient age (P=0.001) and weight (P<0.0001). There was no association between NODAT and recipient gender, human leukocyte antigen mismatch, acute rejection, or cumulative methylprednisolone dose. In a multivariate analysis, ADPKD was a strong risk factor for the development of NODAT (odds ratio [OR]=2.41, P=0.035) after correction for recipient age, weight, gender, ethnicity, and tacrolimus use. Age (OR=1.06), weight (OR=1.04), and nonwhite race (OR=5.04) were the other significant variables. CONCLUSION: We conclude that ADPKD is a significant risk factor for the development of NODAT. This may influence the follow up and management choices of these patients in the future.

Renal artery sympathetic denervation: observations from the UK experience.

BACKGROUND: Renal denervation (RDN) may lower blood pressure (BP); however, it is unclear whether medication changes may be confounding results. Furthermore, limited data exist on pattern of ambulatory blood pressure (ABP) response-particularly in those prescribed aldosterone antagonists at the time of RDN. METHODS: We examined all patients treated with RDN for treatment-resistant hypertension in 18 UK centres. RESULTS: Results from 253 patients treated with five technologies are shown. Pre-procedural mean office BP (OBP) was 185/102 mmHg (SD 26/19; n = 253) and mean daytime ABP was 170/98 mmHg (SD 22/16; n = 186). Median number of antihypertensive drugs was 5.0: 96 % ACEi/ARB; 86 % thiazide/loop diuretic and 55 % aldosterone antagonist. OBP, available in 90 % at 11 months follow-up, was 163/93 mmHg (reduction of 22/9 mmHg). ABP, available in 70 % at 8.5 months follow-up, was 158/91 mmHg (fall of 12/7 mmHg). Mean drug changes post RDN were: 0.36 drugs added, 0.91 withdrawn. Dose changes appeared neutral. Quartile analysis by starting ABP showed mean reductions in systolic ABP after RDN of: 0.4; 6.5; 14.5 and 22.1 mmHg, respectively (p < 0.001 for trend). Use of aldosterone antagonist did not predict response (p > 0.2). CONCLUSION: In 253 patients treated with RDN, office BP fell by 22/9 mmHg. Ambulatory BP fell by 12/7 mmHg, though little response was seen in the lowermost quartile of starting blood pressure. Fall in BP was not explained by medication changes and aldosterone antagonist use did not affect response.

Natural history of proteinuria in renal transplant recipients developing de novo human leukocyte antigen antibodies.

BACKGROUND: The relationship between humoral rejection and human leukocyte antigen (HLA) antibodies is established. Proteinuria is the hallmark of glomerular injury. The relationship between HLA antibody and proteinuria was explored in renal transplant recipients developing de novo donor-specific antibodies (DSA) and nondonor-specific antibodies (NDSA). METHODS: Seventy-two patients with de novo HLA antibody (38 DSA and 34 NDSA) were identified from 475 prevalent renal transplant recipients (15.2%). Antibody surveillance occurred every 6 months, with specificity characterized by a combination of enzyme-linked immunosorbent assay, flow-bead cytometry, and Luminex bead analysis. Pooled analysis of every glomerular filtration rate (GFR) and urinary protein estimation in a 48-month window around the date of antibody detection was performed (4004 and 2084 measurements, respectively). RESULTS: GFR slope (-5.85 vs. -3.21 mL/min/1.73 m per year) and graft failure rate (29% vs. 9%, P=0.039) were worse in patients with DSA. Three-year graft survival after antibody detection was worse in patients with DSA (69.5% vs. 91.1%, P=0.035). Patients with DSA had significantly more proteinuria than those with NDSA and 205 control patients with no alloantibodies, from 6 months before antibody detection (0.91 vs. 0.39 g/L, P=0.015). Graft failure was more likely in patients with DSA with excess of 0.2 g/L at antibody detection (42% vs. 0%, P=0.008). CONCLUSIONS: Proteinuria is associated with DSA detection and is likely to be an important factor that determines rapid GFR decline and earlier graft failure in patients developing de novo HLA antibodies.