| Literature DB >> 26791871 |
Yohei Funakoshi1, Yutaka Fujiwara1,2, Naomi Kiyota1, Toru Mukohara1,3, Takanobu Shimada1, Masanori Toyoda1, Yoshinori Imamura1, Naoko Chayahara1, Hideo Tomioka1, Michio Umezu4, Naoki Otsuki5, Ken-ichi Nibu5, Hironobu Minami6,7.
Abstract
PURPOSE: Creatinine clearance (Ccr) is used as a marker of renal function in cancer chemotherapy, but it is not correlated with glomerular filtration rate (GFR) after high-dose cisplatin treatment. In addition to Ccr, measured using 24-h urine collection (24-h Ccr) or Cockcroft-Gault formula (CGF), the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation and the Japanese GFR estimation equation (the Japanese equation) have been recently developed to estimate GFR for predicting renal function. However, these equations remain to be evaluated, particularly in cancer patients treated with cisplatin. Therefore, we investigated the validity of these equations for predicting the GFR in cancer patients treated with cisplatin.Entities:
Keywords: Cancer patients; Cisplatin; Creatinine clearance; Estimated glomerular filtration rate; Inulin clearance
Mesh:
Substances:
Year: 2016 PMID: 26791871 PMCID: PMC4747994 DOI: 10.1007/s00280-016-2966-1
Source DB: PubMed Journal: Cancer Chemother Pharmacol ISSN: 0344-5704 Impact factor: 3.333
Patients’ characteristics (n = 50)
| Pretreatment | Posttreatment | |
|---|---|---|
| Sex (female, male) | 16, 34 | |
| Age (years), median (range) | 64 (31–87) | 64 (31–87) |
| Weight (kg) | 56.0 ± 10.3 (32.6–78.8) | 54.1 ± 10.1 (30.3–81.0) |
| BSA (m2) | 1.59 ± 0.17 (1.19–1.98) | 1.57 ± 0.17 (1.15–1.99) |
| BMI (kg/m2) | 21.0 ± 2.87 (14.7–27.5) | 20.3 ± 2.84 (13.7–27.0) |
| PS (0, 1, 2) | 16, 34, 0 | 11, 33, 6 |
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| ||
| Head and neck cancer | 29 | |
| Esophageal cancer | 13 | |
| Lung cancer | 4 | |
| Others | 4 | |
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| CDDP + RT | 17 | |
| CDDP + 5-FU + RT | 7 | |
| CDDP + DTX | 7 | |
| CDDP + DTX + 5-FU | 6 | |
| CDDP + 5-FU | 5 | |
| Others | 8 | |
| Total dose of cisplatin (mg/m2) | 154 ± 19.2 (112–200) | |
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| ||
| Diabetes | 6 | |
| Hypertension | 12 | |
Mean ± standard deviation (range)
BSA body surface area, BMI body mass index, PS performance status, CDDP cisplatin, RT radiation, 5-FU fluorouracil, DTX docetaxel
aThe number of patients requiring medication
Renal function (n = 50)
| Pretreatment | Posttreatment | |
|---|---|---|
| Cin (mL/min) | 76.7 ± 19.7 (35.6–142.3) | 59.5 ± 22.1 (17.2–108.0) |
| The CKD–EPI equation (mL/min) | 72.7 ± 12.5 (44.4–110.7) | 66.7* ± 14.4 (30.6–111.3) |
| The Japanese equation (mL/min) | 74.3 ± 17.3 (39.1–118.1) | 66.0* ± 19.4 (30.9–132.4) |
| CGF (mL/min) | 82.0 ± 25.5 (39.5–161.0) | 72.4* ± 27.8 (30.2–176.1) |
| 24-h Ccr (mL/min) | 103.1* ± 32.8 (49.3–240.7) | 78.8* ± 28.3 (23.7–153.6) |
| Serum creatinine (mg/dL) | 0.72 ± 0.14 (0.44–1.00) | 0.81 ± 0.21 (0.39–1.63) |
Mean ± standard deviation (range)
Cin inulin clearance, CKD–EPI Chronic Kidney Disease Epidemiology Collaboration, CGF Cockcroft–Gault formula, 24-h Ccr creatinine clearance from 24-h urine collection
* p < 0.05 versus Cin
Bias and precision of prediction for Cin by each estimate
| Pretreatment | Posttreatment | |||||||
|---|---|---|---|---|---|---|---|---|
| ME (mL/min) | MPE (%) | RMSE (mL/min) | Accuracy within 30 % (%) | ME (mL/min) | MPE (%) | RMSE (mL/min) | Accuracy within 30 % (%) | |
| The CKD–EPI equation | −3.96 | −1.77 | 15.7 | 92 | 7.22 | 22.2 | 15.6 | 60 |
| The Japanese equation | −2.36 | −0.85 | 15.5 | 92 | 6.52 | 19.1 | 15.8 | 68 |
| CGF | 5.38 | 8.61 | 20.9 | 78 | 12.9 | 27.4 | 21.8 | 56 |
| 24-h Ccr | 26.4 | 36.1 | 36.7 | 42 | 19.3 | 39.8 | 26.6 | 50 |
ME mean prediction error, MPE mean percentage error, RMSE root-mean square error, CKD–EPI Chronic Kidney Disease Epidemiology Collaboration, CGF Cockcroft–Gault formula, 24-h Ccr creatinine clearance from 24-h urine collection
Fig. 1Relationship between inulin clearance (Cin) and a the Chronic Kidney Disease Epidemiology Collaboration (CKD–EPI) equation, b the Japanese glomerular filtration rate estimation equation (the Japanese equation), c the Cockcroft–Gault formula (CGF), and d creatinine clearance from 24-h urine collection (24-h Ccr). Black lines show the line of identity
Bias and precision of prediction for Cin using the CKD–EPI equation and the Japanese equation
| Posttreatment | ||||||||
|---|---|---|---|---|---|---|---|---|
| <50 mL/min (Cin) ( | ≥50 mL/min (Cin) ( | |||||||
| ME (mL/min) | MPE (%) | RMSE (mL/min) | Accuracy within 30 % (%) | ME (mL/min) | MPE (%) | RMSE (mL/min) | Accuracy within 30 % (%) | |
| The CKD–EPI equation | 19.0 | 53.8 | 20.4 | 15 | −0.63 | 1.19 | 11.5 | 90 |
| The Japanese equation | 15.4 | 45.0 | 17.9 | 40 | 0.58 | 1.74 | 14.3 | 87 |
ME mean prediction error, MPE mean percentage error, RMSE root-mean square error, Cin inulin clearance, CKD–EPI Chronic Kidney Disease Epidemiology Collaboration, CGF Cockcroft–Gault formula, 24-h Ccr creatinine clearance from 24-h urine collection