A Real-World Data Derived Pharmacovigilance Assessment on Drug-Induced Nephropathy: Implication on Gaps in Patient Care
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Source and Definition
2.2. Statistical Analysis
3. Results
3.1. Baseline Demographics
3.2. Etiologic Medications Implicated in Seriousness of ADEs
3.3. Predictors Associated with Increased Risk of Drug-Induced Nephrotoxic ADEs
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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MedDRA Terminology for Drug-Induced Nephrotoxicity | MedDRA Terminology Related to Renal Function Abnormality |
---|---|
acute interstitial nephritis (AIN) | creatine renal clearance abnormal |
acute nephritis | creatine renal clearance decreased |
acute tubular necrosis (ATN) | creatinine renal clearance increased |
chronic interstitial nephritis | creatine renal clearance low |
disorder kidney | renal clearances low |
disorder renal | renal clearance decreased |
glomerulonephritis | |
kidney tubular necrosis | |
nephritic syndrome | |
nephritis | |
nephrosclerosis | |
nephrotic syndrome | |
nephrotic syndrome worsened | |
nephrotoxicity | |
nephropathy toxic | |
nephrosis | |
renal hypoperfusion | |
renal interstitial disorder | |
syndrome nephrotic | |
toxic nephropathy | |
toxic renal |
Sex a | n (%) |
Male | 206 (67.8%) |
Female | 97 (31.9%) |
Age b | 55 (0–88) |
<10 | 9 (3.0%) |
10 to 19 | 9 (4.6%) |
20 to 29 | 11 (5.1%) |
30 to 39 | 20 (9.2%) |
40 to 49 | 40 (18.4%) |
50 to 59 | 53 (24.4%) |
60 to 69 | 31 (14.3%) |
70 to 79 | 30 (13.8%) |
≥80 | 16 (7.4%) |
Causality | |
Certain | 5 (1.6%) |
Probable/Likely | 120 (39.5%) |
Possible | 179 (58.9%) |
ADE types | |
Nonserious | 141 (46.4%) |
Serious | 163 (53.6%) |
Concomitant Medications | |
1 | 143 (47.0%) |
2 | 105 (34.5%) |
3 | 17 (5.6%) |
4 | 11 (3.6%) |
≥5 (polypharmacy) | 28 (9.2%) |
Nephrotoxicity types | |
Toxic nephropathy | 90 (29.6%) |
Nephritis | 17 (5.6%) |
Nephrosis | 18 (5.9%) |
Interstitial nephritis | 45 (14.8%) |
Kidney failure (acute and chronic) | 72 (23.7%) |
Nephrotic syndrome | 18 (5.9%) |
Reduced renal function | 27 (8.9%) |
Others | 17(5.6%) |
Reporter Types c | |
Doctors | 239 (78.6%) |
Pharmacist | 42 (13.8%) |
Nurses | 7 (2.3%) |
Others | 6 (2.0%) |
Comorbidities d | |
Cancer | 38 (12.5%) |
Multiple myeloma | 12 (31.6%) |
Gastrointestinal tract | 9 (23.7%) |
Central nervous system | 8 (21.1%) |
Breast | 2 (5.3%) |
Non-Hodgkin’s lymphoma | 2 (5.3%) |
Skin/Cutaneous | 2 (5.3%) |
Lung | 1 (2.6%) |
NOS (not otherwise specified) | 2 (5.3%) |
Skin disorders | 10 (3.3%) |
Infection | 101 (33.2%) |
Transplantation | 16 (5.3%) |
Cardiovascular disease | 16 (5.3%) |
Gastrointestinal disease | 11 (3.6%) |
Musculoskeletal disease | 11 (3.6%) |
Renal disease | 11 (3.6%) |
Pain | 3 (1.0%) |
Pulmonary disease | 2 (0.7%) |
Others | 17 (5.6%) |
Drug Class | Non-SAE (n = 141) | SAE (n = 163) | Total (n = 304) |
---|---|---|---|
Antibiotics | 50 (35.7%) | 19 (11.7%) | 69 (22.7%) |
Amikacin | 1 (0.7%) | 1 (0.6%) | 2 (0.7%) |
Amoxicillin | 1 (0.7%) | 1 (0.6%) | 2 (0.7%) |
Aztreonam | 1 (0.7%) | 0 (0.0%) | 1 (0.3%) |
Cefazolin Sodium | 1 (0.7%) | 0 (0.0%) | 1 (0.3%) |
Cefradine | 1 (0.7%) | 0 (0.0%) | 1 (0.3%) |
Ceftriaxone Sodium Hydrate | 2 (1.4%) | 0 (0.0%) | 2 (0.7%) |
Ciprofloxacin | 4 (2.8%) | 0 (0.0%) | 4 (1.32%) |
Erythromycin | 1 (0.7%) | 0 (0.0%) | 1 (0.3%) |
Metronidazole | 0 (0.0%) | 2 (1.2%) | 2 (0.7%) |
Minocycline Hydrochloride | 0 (0.0%) | 1 (0.6%) | 1 (0.3%) |
Piperacillin Sodium · Tazobactam Sodium | 3 (2.1%) | 0 (0.0%) | 3 (1.0%) |
Rifampicin | 3 (2.1%) | 3 (1.8%) | 6 (2.0%) |
Sulfamethoxazole | 1 (0.7%) | 0 (0.0%) | 1 (0.3%) |
Trimethoprim | 1 (0.7%) | 0 (0.0%) | 1 (0.3%) |
Vancomycin Hydrochloride | 30 (21.3%) | 11 (6.7%) | 41 (14.5%) |
Analgesics | 8 (5.7%) | 9 (5.5%) | 17 (5.6%) |
Aceclofenac | 2 (1.4%) | 0 (0.0%) | 2 (0.7%) |
Acetaminophen | 0 (0.0%) | 1 (0.6%) | 1 (0.3%) |
Aspirin | 1 (0.7%) | 0 (0.0%) | 1 (0.3 %) |
Dexibuprofen | 0 (0.0%) | 1 (0.6%) | 1 (0.3%) |
Ibuprofen | 0 (0.0%) | 2 (1.2%) | 2 (0.7%) |
Ketorolac Tromethamine | 2 (1.4%) | 0 (0.0%) | 2 (0.7%) |
Loxoprofen Sodium | 2 (1.4%) | 0 (0.0%) | 2 (0.7%) |
Meloxicam | 0 (0.0%) | 4 (2.5%) | 4 (1.32%) |
Naproxen | 0 (0.0%) | 1 (0.6%) | 1 (0.3%) |
Pethidine Hydrochloride | 1 (0.7%) | 0 (0.0%) | 1 (0.3%) |
Antifungal/Antiviral | 5 (3.5%) | 1 (0.6%) | 6 (2.0%) |
Adefovir Dipivoxil | 2 (1.4%) | 0 (0.0%) | 2 (0.7%) |
Amphotericin B | 2 (1.4%) | 0 (0.0%) | 2 (0.7%) |
Entecavir | 1 (0.7%) | 0 (0.0%) | 1 (0.3%) |
Famciclovir | 0 (0.0%) | 1 (0.6%) | 1 (0.3%) |
Chemotherapy | 5 (3.5%) | 13 (8.0%) | 18 (5.9%) |
Carboplatin | 0 (0.0%) | 1 (0.6%) | 1 (0.3%) |
Cisplatin | 3 (2.1%) | 3 (1.8%) | 6 (2.0%) |
Cyclophosphamide | 1 (0.7%) | 0 (0.0%) | 1 (0.3%) |
Doxorubicin Hydrochloride | 0 (0.0%) | 2 (1.2%) | 2 (0.7%) |
Oxaliplatin | 0 (0.0%) | 3 (1.8%) | 3 (1.0%) |
Vincristine Sulfate | 1 (0.7%) | 4 (2.5%) | 5 (1.6%) |
Immunosuppressants | 37 (26.2%) | 42 (25.8%) | 79 (26.0%) |
Cyclosporine | 1 (0.7%) | 14 (8.6 %) | 15 (4.9%) |
Everolimus | 0 (0.0%) | 5 (3.1%) | 5 (1.6%) |
Mycophenolate Mofetil | 3 (2.1%) | 7 (4.3%) | 10 (3.3%) |
Tacrolimus Hydrate | 33 (23.4%) | 16 (9.8%) | 49 (16.1%) |
ACEi/ARB/Spironolactone | 6 (4.3%) | 0 (0%) | 6 (2.0%) |
Candesartan Cilexetil | 1 (0.7%) | 0 (0.0%) | 1 (0.3%) |
Enalapril Maleate | 1 (0.7%) | 0 (0.0%) | 1 (0.3%) |
Irbesartan | 1 (0.7%) | 0 (0.0%) | 1 (0.3%) |
Spironolactone | 3 (2.1%) | 0 (0.0%) | 3 (1.0%) |
Contrast agents | 1 (0.7%) | 2 (1.2%) | 3 (1.0%) |
Iodixanol | 0 (0.0%) | 1 (0.6%) | 1 (0.3%) |
Iohexol | 1 (0.7%) | 1 (0.6%) | 2 (0.7%) |
Glucocorticoids | 1 (0.7%) | 72 (44.2%) | 73 (24.0%) |
Dexamethasone | 0 (0.0%) | 71 (43.6%) | 71 (23.4%) |
Prednisolone | 1 (0.7%) | 1 (0.6%) | 2 (0.7%) |
Diuretics | 5 (3.5%) | 0 (0%) | 5 (1.6%) |
Furosemide | 3 (2.1%) | 0 (0.0%) | 3 (1.0%) |
Hydrochlorothiazide | 2 (1.4%) | 0 (0.0%) | 2 (0.7%) |
ETC | 23 (16.3%) | 5 (3.1%) | 28 (9.2%) |
WHO-ATC Code | ROR | 95% CI | p-Value | |
---|---|---|---|---|
Antibiotics/Antimycobacterial | J01/J04 | 0.24 | 0.133–0.433 | <0.001 |
Rifampin | 0.862 | 0.171–4.343 | 0.815 | |
Vancomycin | 0.268 | 0.129–0.557 | <0.001 | |
Analgesics | M01 | 0.972 | 0.365–2.589 | 0.847 |
NSAIDs | 1.161 | 0.393–3.431 | 0.997 | |
Chemotherapy | L01 | 2.357 | 0.819–6.785 | 0.166 |
Cisplatin | 0.862 | 0.171–4.343 | 0.815 | |
Vincristine | 3.522 | 0.389–31.883 | 0.46 | |
Immunosuppressants | L04 | 1.484 | 0.891–2.473 | 0.165 |
Mycophenolate mofetil | 2.064 | 0.524–8.137 | 0.464 | |
Tacrolimus | 0.356 | 0.187–0.680 | 0.002 |
Predictors | OR | 95% CI | p-Value | |
---|---|---|---|---|
Interstitial Nephritis | Men | 1 (reference) | 0.300 | |
Women | 1.440 | 0.723–2.873 | ||
Aging | 1.019 | 1.001–1.038 | 0.041 | |
Polypharmacy | 4.190 | 1.768–9.926 | 0.001 | |
Toxic Nephrotoxicity | Men | 1 (reference) | 0.845 | |
Women | 1.0598 | 0.593–1.895 | ||
Aging | 1.002 | 0.988–1.016 | 0.765 | |
Polypharmacy | 0.0543 | 0.007–0.408 | 0.005 | |
Overall SAE | Men | 1 (reference) | 0.002 | |
Women | 2.700 | 1.450–5.008 | ||
Aging | 0.955 | 0.940–0.972 | <0.001 | |
Polypharmacy | 0.726 | 0.293–1.798 | 0.621 | |
Hospitalization SAE | Men | 1 (reference) | 0.139 | |
Women | 1.663 | 0.848–3.261 | ||
Aging | 0.968 | 0.952–0.984 | <0.001 | |
Polypharmacy | 2.087 | 0.863–5.047 | 0.102 |
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Kim, Y.; Choi, C.-Y.; Sunwoo, Y.; Go, C.; Kim, S.; Eom, S.H.; Shin, S.; Choi, Y.J. A Real-World Data Derived Pharmacovigilance Assessment on Drug-Induced Nephropathy: Implication on Gaps in Patient Care. Healthcare 2024, 12, 95. https://doi.org/10.3390/healthcare12010095
Kim Y, Choi C-Y, Sunwoo Y, Go C, Kim S, Eom SH, Shin S, Choi YJ. A Real-World Data Derived Pharmacovigilance Assessment on Drug-Induced Nephropathy: Implication on Gaps in Patient Care. Healthcare. 2024; 12(1):95. https://doi.org/10.3390/healthcare12010095
Chicago/Turabian StyleKim, Yujin, Chang-Young Choi, Yongjun Sunwoo, Chaerin Go, Semi Kim, Sae Hyun Eom, Sooyoung Shin, and Yeo Jin Choi. 2024. "A Real-World Data Derived Pharmacovigilance Assessment on Drug-Induced Nephropathy: Implication on Gaps in Patient Care" Healthcare 12, no. 1: 95. https://doi.org/10.3390/healthcare12010095
APA StyleKim, Y., Choi, C. -Y., Sunwoo, Y., Go, C., Kim, S., Eom, S. H., Shin, S., & Choi, Y. J. (2024). A Real-World Data Derived Pharmacovigilance Assessment on Drug-Induced Nephropathy: Implication on Gaps in Patient Care. Healthcare, 12(1), 95. https://doi.org/10.3390/healthcare12010095