| Literature DB >> 29423204 |
Roman-Ulrich Müller1, Christian S Haas2, John A Sayer3.
Abstract
BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD) is the most common inherited kidney disease worldwide. The renal phenotype is characterized by progressive cystic enlargement of the kidneys leading to a decline in renal function, hypertension and often end-stage renal disease (ESRD). Supportive care with blood pressure control and management of pain, urinary infections and renal stone disease has, until recently, been the mainstay of treatment. With the recent approval of tolvaptan for use in ADPKD, the disease progression may now be targeted specifically. Algorithms that guide treatment initiation have been proposed but a more pragmatic and patient-individualized approach is often needed to make decisions regarding therapy. It is highly important to identify ADPKD patients with rapidly progressive disease who are likely to benefit most from this treatment and avoid treatment in patients that are unlikely to reach ESRD. METHODS ANDEntities:
Keywords: PROPKD score; autosomal dominant polycystic kidney disease; patient selection; rapid progression; tolvaptan; total kidney volume
Year: 2017 PMID: 29423204 PMCID: PMC5798152 DOI: 10.1093/ckj/sfx071
Source DB: PubMed Journal: Clin Kidney J ISSN: 2048-8505
Direct evidence of rapid disease progression in ADPKD
| Parameters |
| Rate of GFR decline |
| Decrease in eGFR of ≥5 mL/min/1.73m2 in 1 year [ |
| Decrease in eGFR of ≥2.5 mL/min/1.73m2 per year over 5 years [ |
| Rate of kidney growth |
| An annual increase in TKV of ≥5% per year [ |
Indirect evidence/predictors of rapid disease progression in ADPKD
| Parameters | Key indication/prediction |
|---|---|
| Genetics | Truncating |
| Kidney size/Mayo classification | Kidney length >16.5 cm by ultrasound may indicate risk of progression [ |
| htTKV>600 mL/m indicates rapid progression [ | |
| Mayo classification allows for prediction of eGFR loss based on a one-time htTKV measurement in an age-dependent fashion [ | |
| PROPKD score | Incorporates genetics, early onset of urological complications and hypertension, as well as gender into a model predicting disease progression [ |
| PROPKD score of >6 predicts reaching ESRD before 60 years of age [ | |
| Hypertension | Hypertension has been linked to an increased risk of CKD progression [ |
| Early onset of hypertension at <35 years old indicates earlier development of ESRD versus patients who are normotensive until >35 years old [ | |
| Gender | Male ADPKD patients have been linked with decreased renal function and earlier onset of ESRD versus female patients (52 versus 56 years old, respectively) [ |
| Urological complications | Onset of urological complications (flank pain, gross hematuria, cyst hemorrhages, cyst infections) before the age of 35 is associated with rapid progression [ |
| Age-adjusted eGFR loss | If no sufficient eGFR measurements are available to evaluate the slope, the current eGFR can be used to estimate whether a patient has undergone rapid progression in the past. For example, an old patient (e.g., >45 years) who has not lost kidney function will not be a rapid progressor whilst a young patient (e.g., 25 years, CKD 2) showing a reduced eGFR due to ADPKD is very likely a rapid progressor [ |
Fig. 1.Algorithm to assess indications for initiation of treatment in ADPKD. The diagram aims to define rapid progression, and thus allow the identification of patients eligible for treatment. It is based on the assumption that GFR for age, or historical changes in GFR, provides more information on disease progression than changes in TKV or risk prediction scores based on (ht)TKV or PKD gene mutation analysis in conjunction with clinical signs. Patients identified as showing ‘rapid progression’ or ‘likely rapid progression’ may be considered for treatment with tolvaptan. Patients with ‘possible rapid progression’ should be re-evaluated during follow-up visits. Besides assessing the indication for treatment, contraindications to and special warnings for tolvaptan use in ADPKD should be considered. Notes to the decision algorithm: (i) in our opinion, the indication ‘CKD stages 1–3 at initiation of treatment’ is not sufficiently specific as eGFR should be indexed for age. ADPKD patients with a high eGFR for age are unlikely to show rapid disease progression. There is currently no published evidence for the effect of tolvaptan in patients below the age of 18 or above the age of 50 years. (ii) The eGFR may vary over time in individual patients, especially when close to the normal range. To confidently define ‘rapid disease progression’, the rate of eGFR decline should be supported by multiple measurements that reliably indicate a rate of decline in eGFR. For this reason, this criterion should also be defined more strictly when historical data are available for only a short period compared with when available for a longer period. (iii) When ‘evidence of rapid disease progression’ is based on historical eGFR data, the decline in renal function should be due to ADPKD and not related to other diseases, medications or factors that may contribute (reversibly or irreversibly) to a decline in renal function (e.g., diabetes mellitus, NSAIDs, calcineurin inhibitors, dehydration or contrast agents). (iv) The criterion of decline in eGFR ≥5 mL/min/1.73 m2 in 1 year is adopted from the KDIGO CKD Guideline. (v) The criterion of decline in eGFR ≥2.5 mL/min/1.73 m2 per year over a period of 5 years is comparable to class 1C patients in the Mayo classification of ADPKD. (vi) In young ADPKD patients with CKD stage 1, the observation of ‘no change in eGFR’ in general is not considered a sensitive marker of slow disease progression, as eGFR often remains fairly stable during a prolonged period of time, whereas TKV increases steadily, suggesting disease progression. In such patients, changes in TKV and/or prediction models should be applied to assess historical or predicted disease progression. (vii) The criterion of increase in TKV ≥5% per year is likely to be conservative. It is based on the threshold defining the Mayo class 1D patients. This criterion has also been advocated by the Japanese regulatory authorities. The average rate of TKV growth in placebo-treated patients in the TEMPO 3:4 trial was 5.5% per year. (viii) The ellipsoid equation estimates TKV reliably when compared with classical volumetry. (ix) The Mayo classification of ADPKD is based on htTKV indexed for age. It predicts that patients with class 1C, 1D and 1E have more rapid disease progression. A kidney length ≥16.5 cm, as assessed by ultrasound (or MRI), can be used in patients <45 years to indicate a high likelihood of rapid disease progression. (x) The PROPKD score suggests that patients with a truncating PKD1 mutation and early onset of clinical signs (i.e., hypertension, macroscopic haematuria, cyst infection or flank pain before the age of 35 years) have rapid disease progression with start of renal replacement therapy at a relatively young age. (xi) Although there is significant variability in the age of reaching ESRD within families that share the same mutation, clinical experience as well as observational studies have shown that a detailed family history can provide important information for risk prediction. (Reproduced from Figure 3 of Gansevoort et al. [24].)
Fig. 2.MRI-based volumetry of polycystic kidneys using stereology and planimetry. In the clinical studies, the determination of TKV was performed mostly using stereology or planimetry-based tracing (A and B). Whilst this approach yields the most accurate measurements, it is cumbersome and time-consuming and will consequently not be generally available in the everyday clinical setting. Irazabal et al. showed that estimation of TKV using the ellipsoid equation, by measuring kidney width and depth (D) in the axial and kidney length and (C) in both the sagittal and the coronal plane (with only the coronal plane being shown here), correlates well with classical volumetry and is thus sufficient to guide clinical decision making outside the setting of clinical trials [30]. Images kindly provided by Thorsten Persigehl, Department of Radiology, University of Cologne.)