| Literature DB >> 35218550 |
Giorgia Mandrile1, Alessandra Pelle2, Veronica Sciannameo3, Elisa Benetti4, Maria Michela D'Alessandro5, Francesco Emma6, Giovanni Montini7,8, Licia Peruzzi9, Michele Petrarulo10, Renato Romagnoli11, Corrado Vitale12, Barbara Cellini13, Daniela Giachino14,15.
Abstract
BACKGROUND: Primary hyperoxalurias (PHs) are rare autosomal recessive diseases of the glyoxylate metabolism; PH1 is caused by mutations in the AGXT gene, PH2 in GRHPR and PH3 in HOGA1.Entities:
Keywords: Genotype–phenotype; Italy; Primary hyperoxaluria
Mesh:
Year: 2022 PMID: 35218550 PMCID: PMC8995259 DOI: 10.1007/s40620-022-01258-4
Source DB: PubMed Journal: J Nephrol ISSN: 1121-8428 Impact factor: 3.902
Clinical characteristics of the Italian PH population
| PH1 | PH1 missing data (%) | PH2 | PH3 | |
|---|---|---|---|---|
| 95 | 3 | 5 | ||
| Males (%) | 61 (64.2) | 2 (66) | 3 (60) | |
| Females (%) | 34 (35.8) | 1 (34) | 2 (40) | |
| Ethnicity | ||||
| Caucasian | 92 (97) | 3 (100) | 5 (100) | |
| South Asian | 3 (3) | |||
| Deceased | 19 (20) | 0 | 0 | |
| Age at death—years (median [IQR]) | 37.0 [19.0, 61.0] | |||
| Age at onset of symptoms—years (median [IQR]) | 4.0 [0.5, 12.0] | 6.3 | 13.0 [11.0, 15.0] | 2.0 [2.0, 2.0] |
| Age at diagnosis—years (median [IQR]) | 9.9 [3.1, 29.0] | 5.3 | 28.0 [23.0, 32.0] | 5.5 [5.5, 11.0] |
| Time for diagnosis—years (median [IQR]) | 3.1 [0.25, 10.0] | 6.3 | 13.0 [7.5, 18.5] | 4.0 [4.0, 8.0] |
| Age at last follow up (median [IQR]) | 26.5 [10.0, 40.8] | 1.1 | 25.0 [14.5, 40.5] | 14.0 [14.0, 16.0] |
| Follow up years—years (median [IQR]) | 8.5 (3.1–9.5) | 6.0 [5.0, 10.0] | 1.0 [1.0, 5.0] | |
| Parental consanguinity (%) | 15 (15.8) | 18.9 | 0 | 0 |
| Symptoms at onset (%) | 2.1 | |||
| Other affected family members | 4 (4.2) | 2 | ||
| Hematuria | 1 (1.1) | 0 | 0 | |
| Acute kidney injury | 1 (1.1) | 0 | 0 | |
| Chronic kidney disease | 3 (3.2) | 0 | 0 | |
| Nephrocalcinosis (NC) | 32 (33.7) | 1 | 0 | |
| Nephrolithiasis (NL) | 44 (46.3) | 2 | 5 | |
| NC + NL | 8 (8.4) | 0 | 0 | |
| Test requested because of other affected family member | 4 (4.2) | 0 | 0 | |
| Diagnosis after chronic kidney disease (%)—total cohort | 54 (56.8) | 9 | 0 | 0 |
| Patient age at onset 0–3 years | 23 (53.5) | 14.0 | ||
| Patient age at onset 3–16 years | 16 (55.2) | 3.4 | ||
| Patient age at onset > 16 years | 14 (82.4) | 5.9 | ||
| Patients who experienced ESKD | 63 (66.3%) | 1 (34) | 0 | |
| Age at ESKD—years (median [IQR])—total cohort | 14.0 [5.0, 31.5] | 33.7 | 48 | |
| Patient age at onset 0–3 years | 0.7 [0.3–10.0] | |||
| Patient age at onset 3–16 years | 23.0 [14.0–33.0] | |||
| Patient age at onset > 16 years | 40.0 [31.0–50.0] | |||
| eGFR at last follow up (ml/min/1.73 m2)a mean (SD) | 64.2 (32.9) | 56.8 | 94 (53) | 76 (20) |
| Transplant (%) | ||||
| Isolated kidney transplant | 14 (14.7) | 1 | 0 | |
| Preemptive liver transplant | 5 (5) | 0 | 0 | |
| Isolated kidney transplant followed by combined liver–kidney transplant | 7 (7) | 0 | 0 | |
| Combined liver–kidney transplant | 29 (30.5) | 0 | 0 | |
| Sequential liver–kidney transplant | 2 (2) | 0 | 0 | |
| Age at first kidney transplant—years (median [IQR]) | 16.5 [9.3, 36.3] | 43.2 | 52 (1 patient) | |
| Age at second kidney transplant—years (median (IQR)) | 29.0 (17.0–45.0) | 83.2 | ||
| Age at liver transplant—years (median [IQR]) | 12.0 [4.0, 27.0] | 52.6 | ||
| Pyridoxine response (%) | 36.8 | |||
| No | 40 (42.1) | |||
| Yes | 20 (21.1) | |||
| Type of mutation (%) | ||||
| Homozygotes for a missense mutation (M/M) | 22 (23) | |||
| Homozygotes for a null mutation (N/N) | 21 (22) | |||
| G170R homozygotes (G170R/G170R) | 16 (16.8) | |||
| Compound heterozygotes M/N | 12 (12.6) | |||
| Compound heterozygotes M/G170R | 14 (14.7) | |||
| Compound heterozygotes N/G170R | 9 (9.5) | |||
aeGFR was calculated by CKD-EPI in adults and by Schwartz equation in pediatric patients
Missing data: percentages are indicated; empty cells indicate that no data are missing
Fig. 1Box plot of age at onset of symptoms in patients receiving kidney and liver transplant, no transplantation, only kidney transplant, only liver transplant
Fig. 2Kaplan–Meier curve (a) and HR plot (b) of ERKD per type of AGXT mutation (G170R homozygotes in red, missense homozygotes in golden, null homozygotes in dark blue, missense-null heterozygotes in green, missense-G170R heterozygotes in light blue, null-G170R heterozygotes in pink) (colour figure online)
Fig. 3Kaplan–Meier curve (a) and HR plot (b) of ESKD per most frequent mutations of AGXT in the PH1 cohort