Long-term cardiovascular risks and the impact of statin treatment on socioeconomic inequalities: a microsimulation model.

BACKGROUND: UK cardiovascular disease (CVD) incidence and mortality have declined in recent decades but socioeconomic inequalities persist. AIM: To present a new CVD model, and project health outcomes and the impact of guideline-recommended statin treatment across quintiles of socioeconomic deprivation in the UK. DESIGN AND SETTING: A lifetime microsimulation model was developed using 117 896 participants in 16 statin trials, 501 854 UK Biobank (UKB) participants, and quality-of-life data from national health surveys. METHOD: A CVD microsimulation model was developed using risk equations for myocardial infarction, stroke, coronary revascularisation, cancer, and vascular and non-vascular death, estimated using trial data. The authors calibrated and further developed this model in the UKB cohort, including further characteristics and a diabetes risk equation, and validated the model in UKB and Whitehall II cohorts. The model was used to predict CVD incidence, life expectancy, quality-adjusted life years (QALYs), and the impact of UK guideline-recommended statin treatment across socioeconomic deprivation quintiles. RESULTS: Age, sex, socioeconomic deprivation, smoking, hypertension, diabetes, and cardiovascular events were key CVD risk determinants. Model-predicted event rates corresponded well to observed rates across participant categories. The model projected strong gradients in remaining life expectancy, with 4-5-year (5-8 QALYs) gaps between the least and most socioeconomically deprived quintiles. Guideline-recommended statin treatment was projected to increase QALYs, with larger gains in quintiles of higher deprivation. CONCLUSION: The study demonstrated the potential of guideline-recommended statin treatment to reduce socioeconomic inequalities. This CVD model is a novel resource for individualised long-term projections of health outcomes of CVD treatments.

Cardiovascular Risk Following Conversion to Belatacept From a Calcineurin Inhibitor in Kidney Transplant Recipients: A Randomized Clinical Trial.

Rationale & Objective: In kidney transplant recipients (KTRs), a belatacept-based immunosuppressive regimen is associated with beneficial effects on cardiovascular (CV) risk factors compared with calcineurin inhibitor (CNI)-based regimens. Our objective was to compare the calculated CV risk between belatacept and CNI (predominantly tacrolimus) treatments using a validated model developed for KTRs. Study Design: Prospective, randomized, open-label, parallel-group, investigator-initiated, international multicenter trial. Setting & Participants: KTRs aged 18-80 years with a stable graft function (estimated glomerular filtration rate > 20 mL/min/1.73 m2), 3-60 months after transplantation, treated with tacrolimus or cyclosporine A, were eligible for inclusion. Intervention: Continuation with a CNI-based regimen or switch to belatacept for 12 months. Outcomes: Comparison of the change in the estimated 7-year risk of major adverse CV events and all-cause mortality, changes in traditional markers of CV health, as well as measures of arterial stiffness. Results: Among the 105 KTRs randomized, we found no differences between the treatment groups in the predicted risk for major adverse CV events or mortality. Diastolic blood pressure, measured both centrally by using a SphygmoCor device and peripherally, was lower after the belatacept treatment than after the CNI treatment. The mean changes in traditional cardiovascular (CV) risk factors, including kidney transplant function, were otherwise similar in both the treatment groups. The belatacept group had 4 acute rejection episodes; 2 were severe rejections, of which 1 led to graft loss. Limitations: The heterogeneous baseline estimated glomerular filtration rate and time from transplantation to trial enrollment in the participants. A limited study duration of 1 year. Conclusions: We found no effects on the calculated CV risk by switching to the belatacept treatment. Participants in the belatacept group had not only lower central and peripheral diastolic blood pressure but also a higher rejection rate. Funding: The trial has received a financial grant from Bristol-Myers Squibb. Trial Registration: EudraCT no. 2013-001178-20.

Increased risk of ischaemic heart disease after kidney donation.

BACKGROUND: Previous reports suggest increased risk of hypertension and cardiovascular mortality after kidney donation. In this study we investigate the occurrence of ischaemic heart disease and cerebrovascular disease, diabetes and cancer in live kidney donors compared with healthy controls eligible for donation. METHODS: Different diagnoses were assessed in 1029 kidney donors and 16 084 controls. The diagnoses at follow-up were self-reported for the controls and registered by a physician for the donors. Stratified logistic regression was used to estimate associations with various disease outcomes, adjusted for gender, age at follow-up, smoking at baseline, body mass index at baseline, systolic blood pressure at baseline and time since the donation. RESULTS: The mean observation time was 11.3 years [standard deviation (SD) 8.1] for donors versus 16.4 years (SD 5.7) for controls. The age at follow-up was 56.1 years (SD 12.4) in donors versus 53.5 years (SD 11.1) in controls and 44% of donors were males versus 39.3% in the controls. At follow-up, 35 (3.5%) of the donors had been diagnosed with ischaemic heart disease versus 267 (1.7%) of the controls. The adjusted odds ratio for ischaemic heart disease was 1.64 (confidence interval 1.10-2.43; P = 0.01) in donors compared with controls. There were no significant differences for the risks of cerebrovascular disease, diabetes or cancer. CONCLUSIONS: During long-term follow-up of kidney donors, we found an increased risk of ischaemic heart disease compared with healthy controls. This information may be important in the follow-up and selection process of living kidney donors.

Predicting donor, recipient and graft survival in living donor kidney transplantation to inform pretransplant counselling: the donor and recipient linked iPREDICTLIVING tool - a retrospective study.

Although separate prediction models for donors and recipients were previously published, we identified a need to predict outcomes of donor/recipient simultaneously, as they are clearly not independent of each other. We used characteristics from transplantations performed at the Oslo University Hospital from 1854 live donors and from 837 recipients of a live donor kidney transplant to derive Cox models for predicting donor mortality up to 20 years, and recipient death, and graft loss up to 10 years. The models were developed using the multivariable fractional polynomials algorithm optimizing Akaike's information criterion, and optimism-corrected performance was assessed. Age, year of donation, smoking status, cholesterol and creatinine were selected to predict donor mortality (C-statistic of 0.81). Linear predictors for donor mortality served as summary of donor prognosis in recipient models. Age, sex, year of transplantation, dialysis vintage, primary renal disease, cerebrovascular disease, peripheral vascular disease and HLA mismatch were selected to predict recipient mortality (C-statistic of 0.77). Age, dialysis vintage, linear predictor of donor mortality, HLA mismatch, peripheral vascular disease and heart disease were selected to predict graft loss (C-statistic of 0.66). Our prediction models inform decision-making at the time of transplant counselling and are implemented as online calculators.

Increased long-term risk for hypertension in kidney donors - a retrospective cohort study.

Kidney donors may be at increased risk of end-stage renal disease and premature mortality. Elevated blood pressure after donation may contribute to the increased risks. In this cohort study, we have assessed long-term risk for the development of hypertension in kidney donors compared to a control group potentially eligible as donors. Follow-up data were obtained from previous living kidney donors. A healthy control group with baseline assessment from similar time periods as the donor nephrectomies was selected. Hypertension was defined as blood pressure >140/90, use of blood pressure medication, or established diagnosis of hypertension. Stratified logistic regression was used to estimate risk of hypertension at follow-up, adjusted for systolic blood pressure at baseline, age at follow-up, time since donation/baseline, gender, smoking at baseline, and BMI at baseline. A total of 368 donors (36%) had hypertension at follow-up, and 241 of these (23%) were using blood pressure medication. In adjusted stratified logistic regression analyses, odds ratio for hypertension was significantly increased (1.25, 95% confidence interval 1.12-1.39, P < 0.001) in donors compared with controls. Kidney donors appear to be at increased long-term risk for hypertension compared with healthy controls. This finding supports regular follow-up of blood pressure in kidney donors.

Long-term risk for kidney donors with hypertension at donation - a retrospective cohort study.

In the general population, small increases in blood pressure are associated with increased mortality. In kidney donors this association is less certain. We therefore assessed long-term overall and cardiovascular mortality in donors who were hypertensive at the time of donation compared with normotensive donors. Hypertension was defined as blood pressure >140/90 mmHg or use of antihypertensive drugs. Adequate records available in 2131 donors revealed that 140 were hypertensive and 1991 were normotensive. Multivariable regression analyses were performed for overall and cardiovascular mortality. Hypertensive donors were significantly older (mean 57.7 vs. 46.9 years), more were males (44.3% vs. 41.5%), had higher body mass index (26.4 vs. 24.7) and lower estimated glomerular filtration rate (91.8 vs. 101.2 ml/min/1.73 m2 ). After a median observation time of 20.8 years (interquartile range 11) 71 hypertensive donors had died and 26 of the deaths were cardiovascular. Multivariable analysis did not suggest a generalizable association between hypertension and long-term overall mortality [hazard ratio (HR) 1.1, 95% confidence interval (CI) 0.9-1.5, P = 0.34] or cardiovascular mortality (HR 1.1, 95% CI 0.7-1.8, P = 0.55). These data may support the use of older healthy kidney donors with hypertension at donation.

High tacrolimus clearance - a risk factor for development of interstitial fibrosis and tubular atrophy in the transplanted kidney: a retrospective single-center cohort study.

Patients with high tacrolimus clearance are more likely to experience transient under-immunosuppression in case of a missed or delayed dose. We wanted to investigate the association between estimated tacrolimus clearance and development of graft interstitial fibrosis and tubular atrophy (IFTA) in kidney transplant recipients. Associations between estimated tacrolimus clearance [daily tacrolimus dose (mg)/trough concentration (µg/l)] and changes in IFTA biopsy scores from week 7 to 1-year post-transplantation were investigated. Data from 504 patients transplanted between 2009 and 2013 with paired protocol biopsies (7 weeks + 1-year post-transplant) were included. There were no differences in baseline biopsy scores (7 weeks) in patients with different estimated tacrolimus clearance. Increasing tacrolimus clearance was significantly associated with increased ci + ct score of ≥2 at 1 year, odds ratio of 1.67 (95% CI; 1.11-2.51). In patients without fibrosis (ci + ct ≤ 1) at 7 weeks (n = 233), increasing tacrolimus clearance was associated with development of de novo IFTA (i + t ≤ 1 and ci + ct ≥ 2) at 1 year, odds ratio of 2.01 (95% CI; 1.18-3.50) after adjusting for confounders. High tacrolimus clearance was significantly associated with development of IFTA the first year following renal transplantation.

Paricalcitol supplementation during the first year after kidney transplantation does not affect calcification propensity score.

BACKGROUND: Cardiovascular complications are common in kidney transplant patients and calcification propensity of blood, measured as T50, is associated with cardiovascular outcomes. Paricalcitol supplementation affects calcium/phosphate homeostasis and may affect calcification propensity. To assess this hypothesis we measured T50 in kidney transplant recipients participating in a randomized study comparing paricalcitol versus no treatment during the first year after kidney transplantation. METHODS: Stored serum samples from 76 kidney transplant recipients (paricalcitol n = 37, no treatment n = 39) were analyzed. Analyses were performed at inclusion (8 weeks after transplantation) and repeated one year after transplantation. RESULTS: There were no statistically significant differences in T50 between the paricalcitol and placebo groups, neither at baseline (p = 0.56) nor at 1 year (p = 0.61). Also, there were no significant changes in T50 over time in either group or when pooling all data (p <  0.20). In multivariate regression analysis, out of 16 potentially relevant covariates, comprising clinical and biochemical parameters, only plasma PTH and T50 at baseline were significantly correlated to T50 after one year. (p <  0.03 and p < 0.01, respectively). CONCLUSIONS: Calcium propensity measured as T50 score remained unchanged with paricalcitol treatment in kidney transplant recipients, and was not changed over time during the study period of one year. TRIAL REGISTRATION: ClinicalTrials.gov, NCT01694160 , registered 23 September 2012.

Lupus nephritis: low urinary DNase I levels reflect loss of renal DNase I and may be utilized as a biomarker of disease progression.

Renal DNase I is lost in advanced stages of lupus nephritis. Here, we determined if loss of renal DNase I reflects a concurrent loss of urinary DNase I, and whether absence of urinary DNase I predicts disease progression. Mouse and human DNase I protein and DNase I endonuclease activity levels were determined by western blot, gel, and radial activity assays at different stages of the murine and human forms of the disease. Cellular localization of DNase I was analyzed by immunohistochemistry, immunofluorescence, confocal microscopy, and immunoelectron microscopy. We further compared DNase I levels in human native and transplanted kidneys to determine if the disease depended on autologous renal genes, or whether the nephritic process proceeded also in transplanted kidneys. The data indicate that reduced renal DNase I expression level relates to serious progression of lupus nephritis in murine, human native, and transplanted kidneys. Notably, silencing of renal DNase I correlated with loss of DNase I endonuclease activity in the urine samples. Thus, urinary DNase I levels may therefore be used as a marker of lupus nephritis disease progression and reduce the need for renal biopsies.

Kidney allograft subclinical rejection modulates systemic inflammation measured by C-reactive protein at 1 year after transplantation.

Kidney allograft inflammation is associated with proinflammatory modifications of peripheral blood mononuclear cells, suggesting that renal inflammation contributes to systemic inflammation. Thus, the aim of this study was to evaluate the relationship between subclinical inflammation in surveillance biopsies performed at 1 year and systemic inflammation assessed by C-reactive protein (CRP) levels at the time of biopsy. We analyzed 544 surveillance biopsies performed at 1 year that were classified as normal (n = 368), borderline (n = 148), or subclinical rejection (SCR) (n = 28). CRP levels were divided into quartiles. Patients in 1st, 2nd, and 3rd quartile were classified as low CRP (n = 408) and patients in the 4th quartile as high CRP (n = 136). Univariate analysis showed that the proportion of patients with SCR was higher in the high CRP group (10.3% vs 3.4%, P = 0.0067). Multivariate analysis showed that independent predictors of high CRP were body mass index (odds ratio [OR] 1.072 and 95% confidence interval [CI] 1.027-1.119), a positive urine culture at the day of the biopsy (OR 2.760 and 95% CI 1.205-6.323), and the presence of SCR at 1-year surveillance biopsy (OR 7.260 and 95% CI 3.530-14.935). In summary, we describe that subclinical acute rejection constitutes an independent predictor of systemic inflammation as measured by CRP.

Long-term Change in the Risk of Skin Cancer After Organ Transplantation: A Population-Based Nationwide Cohort Study.

Importance: The high risk of skin cancer after organ transplantation is a major clinical challenge and well documented, but reports on temporal trends in the risk of posttransplant cutaneous squamous cell carcinoma (SCC) are few and appear contradictory. Objective: To study temporal trends for the risk of skin cancer, particularly SCC, after organ transplantation. Design, Setting, and Participants: Population-based, nationwide, prospective cohort study of 8026 patients receiving a kidney, heart, lung, or liver transplant in Norway from 1968 through 2012 using patient data linked to a national cancer registry. The study was conducted in a large organ transplantation center that serves the entire Norwegian population of approximately 5.2 million. Exposures: Receiving a solid organ transplant owing to late-stage organ failure, followed by long-term immunosuppressive treatment according to graft-specific treatment protocols. Main Outcomes and Measures: Occurrence of first posttransplant SCC, melanoma, or Kaposi sarcoma of the skin. Risk of skin cancer was analyzed using standardized incidence ratios (SIRs) and, for SCC, multivariable Poisson regression analysis of SIR ratios, adjusting for 5-year time period of transplantation, different follow-up time, age, sex, and type of organ. Results: The study cohort included 8026 organ transplant recipients, 5224 men (65.1%), with a mean age at transplantation of 48.5 years. Median follow-up time was 6.7 years per recipient; total follow-up time, 69 590 person-years. The overall SIRs for SCC, melanoma, and Kaposi sarcoma were 51.9 (95% CI, 48.4-55.5), 2.4 (95% CI, 1.9-3.0), and 54.9 (95% CI, 27.4-98.2), respectively. In those who underwent transplantation in the 1983-1987 period, the unadjusted SIR for SCC was 102.7 (95%, 85.8-122.1), declining to 21.6 (95% CI, 16.8-27.0) in those who underwent transplantation in the 2003-2007 period. Adjusting for different follow-up times and background population risks, as well as age, graft organ, and sex, a decline in the SIR for SCC was found, with SIR peaking in patients who underwent transplantation in the 1983-1987 period and later declining to less than half in patients who underwent transplantation in the 1998-2002, 2003-2007, and 2008-2012 periods, with the relative SIRs being 0.42 (95% CI, 0.32-0.55), 0.31 (95% CI, 0.22-0.42), and 0.44 (95% CI, 0.30-0.66), respectively. Conclusions and Relevance: The risk of SCC after organ transplantation has declined significantly since the mid-1980s in Norway. Less aggressive and more individualized immunosuppressive treatment and close clinical follow-up may explain the decline. Still, the risk of SCC in organ transplant recipients remains much higher than in the general population and should be of continuous concern for dermatologists, transplant physicians, and patients.

High Tacrolimus Clearance Is a Risk Factor for Acute Rejection in the Early Phase After Renal Transplantation.

BACKGROUND: Patients with high tacrolimus clearance eliminate more drug within a dose interval compared with those with low clearance. Delays in dosing time will result in transient periods of lower concentrations in high versus low clearance patients. Transient subtherapeutic tacrolimus concentrations may induce acute rejection episodes. METHODS: A retrospective study in all renal transplant patients treated with tacrolimus at our center from 2009 to 2013 was conducted. The association between individually estimated tacrolimus clearance (daily tacrolimus dose [mg]/trough concentration [µg/L]) and biopsy-proven acute rejection (BPAR) the first 90 days posttransplantation was investigated. RESULTS: In total, 638 patients treated with oral tacrolimus were included in the analysis. Eighty-five (13.3%) patients experienced BPAR. Patients were stratified into 4 groups per their estimated clearance. The patients in the high clearance group had significantly higher incidence of BPAR (20.6%) with a hazard ratio of 2.39 (95% confidence interval, 1.30-4.40) compared with the low clearance group. Clearance estimate (as a continuous variable) showed a hazard ratio of 2.25 (95% confidence interval, 1.70-2.99) after adjusting for other risk factors. There were no significant differences in neither trough concentrations the first week after transplantation nor time to target trough concentration between patients later experiencing BPAR or not. CONCLUSIONS: High estimated clearance is significantly associated with increased risk of BPAR the first 90 days posttransplantation and may predict an increased risk of rejection in the early phase after renal transplantation.

Association Between Pretransplant Cancer and Survival in Kidney Transplant Recipients.

BACKGROUND: Kidney transplantation in recipients with a previous malignancy is often deferred 2 to 5 years after cancer treatment due to fear of cancer recurrence. In Norway, the required waiting period has been 1 year. METHODS: We compared patient and graft survival of recipients with pretransplant cancer to the outcomes of matched recipients without such cancer (comparators) using Cox regression. RESULTS: From 1963 to 2010, 377 (6.4%) of 5867 recipients had a pretransplant cancer. During a median follow-up of 6.8 years, 256 recipients died, 35 (13.7%) from recurrent cancer and 27 (10.5%) from de novo cancer. Uncensored and death-censored graft loss occurred in 263 and 46 recipients, respectively. All-cause mortality was similar as in comparators (hazard ratio [HR], 1.06; 95% confidence interval [CI], 0.93-1.20]; P = 0.40), death-censored graft loss was lower (HR, 0.63; 95% CI, 0.47-0.84; P = 0.002), and uncensored graft loss was similar (HR, 0.99; 95% CI, 0.87-1.12; P = 0.87). Cancer mortality was higher than in comparators (HR, 1.97; 95% CI, 1.51-2.56; P < 0.001), particularly during the first 5 years of follow-up (HR, 3.44; 95% CI, 2.36-5.03; P < 0.01). Waiting period was not associated with recurrent cancer mortality or all-cause mortality (both P > 0.45). Results were similar within cancer subgroups, with most data in patients with a history of kidney cancer, prostate cancer, urothelial cancer, and skin squamous cell carcinoma. CONCLUSIONS: Kidney transplant recipients with a pretransplant cancer had a similar overall patient and graft survival as recipients without such cancer. Cancer mortality was increased, particularly during the first 5 years after transplantation. A short waiting period was not associated with mortality.

Should patients older than 65 years be offered a second kidney transplant?

BACKGROUND: Age and number of recipients in need of kidney re-transplantation are increasing. Re-transplantation practices and outcomes in elderly recipients are not previously explored. We aimed to retrospectively evaluate the outcomes of recipients 65 years and older receiving their second deceased donor allograft. METHODS: The study was designed as a retrospective registry based study. All recipients 65 years or older who received a deceased donor kidney transplant at Oslo University Hospital between 2000 and 2014 were included in the study. Survival outcomes were compared between recipients of first (TX1) and second (TX2) allograft. Survival analyses were performed using the Kaplan-Meier method and Cox proportional hazard models with patient survival, uncensored graft survival and death-censored graft survival as outcomes in the analyses. RESULTS: Seven hundred and thirty-tree recipients > 65 years received a first (n = 687) or second (n = 46) deceased donor kidney transplant. Five years uncensored graft survival rates were 64% in TX 2 and 67% in TX 1 (P= 0.789). Estimated five years graft survival rates censored for death with functioning graft were 88% in TX2 and 90% in TX1 (P=0.475). Adjusted hazard ratio for uncensored graft loss (TX2 vs. TX1) was 1.24 (95% CI 0.77 - 2.00). Adjusted hazard ratio for graft loss censored for death with functioning graft (TX2 vs. TX1) was 1.70 (0.72-4.02). CONCLUSIONS: Older recipients of second transplants have outcomes that are comparable to the outcomes of age-matched first transplant recipients, and far better than previously documented for older transplant candidates remaining on dialysis treatment. Advanced age by itself should not be a contraindication for re-transplantation. Best results are achieved with short time on dialysis before re-transplantation.

Inflammation in Early Kidney Allograft Surveillance Biopsies With and Without Associated Tubulointerstitial Chronic Damage as a Predictor of Fibrosis Progression and Development of De Novo Donor Specific Antibodies.

BACKGROUND: Interstitial fibrosis and tubular atrophy (IFTA) associated with interstitial inflammation in nonscarred areas (IFTA+i) is associated with poorer graft outcome than inflammation without IFTA or IFTA without inflammation. METHODS: We evaluated if histological categories at week 6 could predict the development of interstitial fibrosis and de novo donor specific anti-HLA antibodies (dnDSA) at 1 year. Biopsies were classified according to Banff criteria as normal (i+t≤1 and ci+ct≤1), inflammation (i+t≥2 and ci+ct≤1), IFTA (i+t≤1 and ci+ct≥2) or IFTA+i (i+t≥2 and ci+ct≥2). RESULTS: We analyzed 598 standard immunological risk recipients. The histological diagnosis at 6 weeks was: normal (n = 206), inflammation (n = 29), IFTA (n = 255), and IFTA+i (n = 108). Moderate/severe interstitial fibrosis (ci≥2) at 1 year was observed in 4.2% of patients with prior (6 weeks) normal histology, in 3.4% with inflammation, in 13.8% with IFTA, and in 24.5% with IFTA+i (P = 0.0001). Fifty-three recipients (8.9%) had dnDSA at 1 year. Independent predictors of development of dnDSA at 1 year were: HLA-DR mismatches (odds ratio [OR], 1.95; 95% confidence interval [95% CI], 1.09-3.49), the presence of inflammation (OR, 5.49; 95% CI, 1.67-18.03) or IFTA+i (OR, 4.09; 95% CI, 1.67-10.0) in the 6-week surveillance biopsy. CONCLUSIONS: Early subclinical inflammation in surveillance biopsies with or without tubulointerstitial chronic lesions is associated with an increased risk of dnDSA development.

Everolimus and Malignancy after Solid Organ Transplantation: A Clinical Update.

Malignancy after solid organ transplantation remains a major cause of posttransplant mortality. The mammalian target of rapamycin (mTOR) inhibitor class of immunosuppressants exerts various antioncogenic effects, and the mTOR inhibitor everolimus is licensed for the treatment of several solid cancers. In kidney transplantation, evidence from registry studies indicates a lower rate of de novo malignancy under mTOR inhibition, with some potentially supportive data from randomized trials of everolimus. Case reports and small single-center series have suggested that switch to everolimus may be beneficial following diagnosis of posttransplant malignancy, particularly for Kaposi's sarcoma and nonmelanoma skin cancer, but prospective studies are lacking. A systematic review has shown mTOR inhibition to be associated with a significantly lower rate of hepatocellular carcinoma (HCC) recurrence versus standard calcineurin inhibitor therapy. One meta-analysis has concluded that patients with nontransplant HCC experience a low but significant survival benefit under everolimus monotherapy, so far unconfirmed in a transplant population. Data are limited in heart transplantation, although observational data and case reports have indicated that introduction of everolimus is helpful in reducing the recurrence of skin cancers. Overall, it can be concluded that, in certain settings, everolimus appears a promising option to lessen the toll of posttransplant malignancy.

Impact of renal function on the effects of LDL cholesterol lowering with statin-based regimens: a meta-analysis of individual participant data from 28 randomised trials.

BACKGROUND: Statin therapy is effective for the prevention of coronary heart disease and stroke in patients with mild-to-moderate chronic kidney disease, but its effects in individuals with more advanced disease, particularly those undergoing dialysis, are uncertain. METHODS: We did a meta-analysis of individual participant data from 28 trials (n=183 419), examining effects of statin-based therapy on major vascular events (major coronary event [non-fatal myocardial infarction or coronary death], stroke, or coronary revascularisation) and cause-specific mortality. Participants were subdivided into categories of estimated glomerular filtration rate (eGFR) at baseline. Treatment effects were estimated with rate ratio (RR) per mmol/L reduction in LDL cholesterol. FINDINGS: Overall, statin-based therapy reduced the risk of a first major vascular event by 21% (RR 0·79, 95% CI 0·77-0·81; p<0·0001) per mmol/L reduction in LDL cholesterol. Smaller relative effects on major vascular events were observed as eGFR declined (p=0·008 for trend; RR 0·78, 99% CI 0·75-0·82 for eGFR ≥60 mL/min per 1·73 m(2); 0·76, 0·70-0·81 for eGFR 45 to <60 mL/min per 1·73 m(2); 0·85, 0·75-0·96 for eGFR 30 to <45 mL/min per 1·73 m(2); 0·85, 0·71-1·02 for eGFR <30 mL/min per 1·73 m(2) and not on dialysis; and 0·94, 0·79-1·11 for patients on dialysis). Analogous trends by baseline renal function were seen for major coronary events (p=0·01 for trend) and vascular mortality (p=0·03 for trend), but there was no significant trend for coronary revascularisation (p=0·90). Reducing LDL cholesterol with statin-based therapy had no effect on non-vascular mortality, irrespective of eGFR. INTERPRETATION: Even after allowing for the smaller reductions in LDL cholesterol achieved by patients with more advanced chronic kidney disease, and for differences in outcome definitions between dialysis trials, the relative reductions in major vascular events observed with statin-based treatment became smaller as eGFR declined, with little evidence of benefit in patients on dialysis. In patients with chronic kidney disease, statin-based regimens should be chosen to maximise the absolute reduction in LDL cholesterol to achieve the largest treatment benefits. FUNDING: UK Medical Research Council, British Heart Foundation, Cancer Research UK, European Community Biomed Programme, Australian National Health and Medical Research Council, Australian National Heart Foundation.

Total inflammation in early protocol kidney graft biopsies does not predict progression of fibrosis at one year post-transplant.

INTRODUCTION: There is an uncertainty whether total inflammation in early protocol kidney graft biopsies is associated with fibrosis progression. We investigated whether total inflammation, both in fibrotic and non-fibrotic areas, at week 6 would predict fibrosis progression at one yr post-transplant. METHODS: We included 156 single adult ABO compatible kidney recipients with adequate week 6 and one yr transplant protocol biopsies (312 biopsies). Biopsies were scored according to the current Banff criteria. In addition, fibrosis and inflammation in fibrotic and non-fibrotic areas were scored in a 10-grade semi-quantitative eyeballing system from 0% to 100%. RESULTS: Fibrosis increased significantly from week 6 to one yr both by the 10-grade scoring system from 0.69 ± 1.07 to 1.45 ± 1.86, (mean ± SD), p < 0.001 and by Banff interstitial fibrosis (ci) scoring 0.81 ± 0.65 to 1.13 ± 0.87, p < 0.001. The 10-grade scoring system detected a larger proportion of fibrosis progressors than the Banff scoring 40.4% vs. 35.5%, p < 0.001. No significant positive association was found between inflammation at week 6 and progression of fibrosis in either of the scoring systems. CONCLUSIONS: Total inflammation in kidney transplant biopsies at week 6 did not predict progression of fibrosis at one yr post-transplant.

Low-target tacrolimus in de novo standard risk renal transplant recipients: A single-centre experience.

AIM: Optimal tacrolimus exposure in transplant recipients is not well established. The results from the Symphony study indicated that low-target tacrolimus (trough concentrations 3-7 µg/L) in de novo standard risk renal transplant recipients should be appropriate. The aim of this study was to evaluate real-life outcomes when applying a similar strategy in a clinical setting. METHODS: A single-centre analysis was conducted in standard risk renal transplant recipients receiving low-target tacrolimus, mycophenolate mofetil, glucocorticoids and basiliximab induction. One-year estimated glomerular filtration rate (eGFR, Cockcroft-Gault), one-year biopsy-proven acute rejection rate and graft- and patient survival up to 3 years post-transplant were compared with the outcomes in the Symphony study. RESULTS: From 1 January 2009 to 31 March 2013, we included 406 patients. One year after transplantation, the mean ± SD eGFR was 76.8 ± 28.3 mL/min (Symphony: 65.4 ± 27.0 mL/min, P < 0.001). Biopsy-proven acute rejections were seen in 14.5% of the patients (Symphony: 12.3%, P = 0.35). Kaplan-Meier estimates [95% confidence interval] of three-year death-censored graft- and patient survival were 96.6% [94.2-99.0%] (Symphony: 93%) and 95.0% [92.6-97.3%] (Symphony: 95%), respectively. CONCLUSION: Low-target tacrolimus-based immunosuppression is safe and effective also in a standard clinical setting in de novo standard risk renal transplant recipients.

One-year protocol biopsies from ABO-incompatible renal allografts compared with a matched cohort of ABO-compatible allografts.

INTRODUCTION: Early acute antibody-mediated rejection (ABMR) occurs more frequently in ABO-incompatible (ABOi) than in ABO-compatible (ABOc) kidney transplantation. This could lead to increased inflammation/scarring in the ABOi grafts. Protocol biopsy data in ABOi kidney recipients are scarce. METHODS: A single-center retrospective matched cohort study was conducted. Eighty adult living donor (LD) renal transplant recipients without HLA donor-specific antibodies (DSA) transplanted between 2009 and 2012 were included; 20 ABOi and 60 ABOc controls matched for donor age and transplantation year. Protocol biopsies at one yr were scored according to the Banff classification. Three sums of scores were constructed: tubulointerstitial inflammation (t + i = 0 vs. >0), microvascular inflammation (g + ptc = 0 vs. >0), scarring/hyalinosis (ci + ct + cv + ah ≤ 1 vs. >1. Scores and presence of subclinical rejection (SCR) at one yr were compared. RESULTS: Protocol biopsy findings at one yr in the ABOi vs. ABOc matched control group were not statistically different: (t + i) > 0, 30% vs. 20%; (g + ptc) > 0, 5% vs. 8%; (ci + ct + cv + ah) > 1, 85% vs. 60%, respectively. No transplant glomerulopathy occurred. SCR rate at one yr was 30% vs. 18%, subclinical ABMR 5% vs. 7% (all with de novo HLA DSA). CONCLUSION: One-year protocol biopsies of ABOi and ABOc LD recipients do not differ in chronic changes, inflammation, or SCRs.