1.Transcatheter Arterial Chemotherapy with Miriplatin for Hepatocellular Carcinoma Patients with Chronic Renal Failure: Report of Three Cases.
Norihiro IMAI ; Kenji IKEDA ; Yuya SEKO ; Yusuke KAWAMURA ; Hitomi SEZAKI ; Tetsuya HOSAKA ; Norio AKUTA ; Masahiro KOBAYASHI ; Satoshi SAITOH ; Fumitaka SUZUKI ; Yoshiyuki SUZUKI ; Yasuji ARASE ; Hiromitsu KUMADA
Gut and Liver 2013;7(2):246-251
Miriplatin is a novel lipophilic platinum complex that was developed to treat hepatocellular carcinoma (HCC). Although HCC patients frequently have coexisting chronic renal failure, little prospective data are available regarding the clinical toxicity of chemotherapeutic agents used to treat HCC patients with chronic renal failure. In a phase II study, the plasma concentration of total platinum in patients who received miriplatin was very low, and no severe renal toxicity caused by miriplatin injection was reported. Here, we present three cases of HCC with stage 4 chronic renal failure who received transcatheter arterial chemotherapy with miriplatin. All cases were male, ages 72, 84, and 83 years, and had serum creatinine levels of 2.3, 1.6, and 1.9 mg/dL, respectively. Their estimated glomerular filtration rates were 21.9, 20.3, and 22.2 mL/min, respectively. All cases were treated for unresectable HCC with transcatheter arterial chemotherapy with miriplatin. No serious adverse events were observed, and serum creatinine levels did not elevate, even in the patient who experienced renal failure caused by cisplatin administration. These results might suggest that transcatheter arterial chemotherapy with miriplatin can be safely used in HCC patients with chronic renal failure.
Carcinoma, Hepatocellular
;
Cisplatin
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Creatinine
;
Glomerular Filtration Rate
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Humans
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Kidney Failure, Chronic
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Male
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Organoplatinum Compounds
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Plasma
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Platinum
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Renal Insufficiency
2.Appendix 1
Masao IWAGAMI ; Kotonari AOKI ; Manabu AKAZAWA ; Chieko ISHIGURO ; Shinobu IMAI ; Nobuhiro OOBA ; Makiko KUSAMA ; Daisuke KOIDE ; Atsushi GOTO ; Norihiro KOBAYASHI ; Izumi SATO ; Sayuri NAKANE ; Makoto MIYAZAKI ; Kiyoshi KUBOTA
Japanese Journal of Pharmacoepidemiology 2018;23(2):124-124
3.Appendix 2
Masao IWAGAMI ; Kotonari AOKI ; Manabu AKAZAWA ; Chieko ISHIGURO ; Shinobu IMAI ; Nobuhiro OOBA ; Makiko KUSAMA ; Daisuke KOIDE ; Atsushi GOTO ; Norihiro KOBAYASHI ; Izumi SATO ; Sayuri NAKANE ; Makoto MIYAZAKI ; Kiyoshi KUBOTA
Japanese Journal of Pharmacoepidemiology 2018;23(2):125-130
4.Appendix 3
Masao IWAGAMI ; Kotonari AOKI ; Manabu AKAZAWA ; Chieko ISHIGURO ; Shinobu IMAI ; Nobuhiro OOBA ; Makiko KUSAMA ; Daisuke KOIDE ; Atsushi GOTO ; Norihiro KOBAYASHI ; Izumi SATO ; Sayuri NAKANE ; Makoto MIYAZAKI ; Kiyoshi KUBOTA
Japanese Journal of Pharmacoepidemiology 2018;23(2):131-139
5.Appendix 4
Masao IWAGAMI ; Kotonari AOKI ; Manabu AKAZAWA ; Chieko ISHIGURO ; Shinobu IMAI ; Nobuhiro OOBA ; Makiko KUSAMA ; Daisuke KOIDE ; Atsushi GOTO ; Norihiro KOBAYASHI ; Izumi SATO ; Sayuri NAKANE ; Makoto MIYAZAKI ; Kiyoshi KUBOTA
Japanese Journal of Pharmacoepidemiology 2018;23(2):140-143
6.Appendix 5
Masao IWAGAMI ; Kotonari AOKI ; Manabu AKAZAWA ; Chieko ISHIGURO ; Shinobu IMAI ; Nobuhiro OOBA ; Makiko KUSAMA ; Daisuke KOIDE ; Atsushi GOTO ; Norihiro KOBAYASHI ; Izumi SATO ; Sayuri NAKANE ; Makoto MIYAZAKI ; Kiyoshi KUBOTA
Japanese Journal of Pharmacoepidemiology 2018;23(2):144-146
7.Task Force Report on the Validation of Diagnosis Codes and Other Outcome Definitions in the Japanese Receipt Data
Masao IWAGAMI ; Kotonari AOKI ; Manabu AKAZAWA ; Chieko ISHIGURO ; Shinobu IMAI ; Nobuhiro OOBA ; Makiko KUSAMA ; Daisuke KOIDE ; Atsushi GOTO ; Norihiro KOBAYASHI ; Izumi SATO ; Sayuri NAKANE ; Makoto MIYAZAKI ; Kiyoshi KUBOTA
Japanese Journal of Pharmacoepidemiology 2018;23(2):95-123
Although the recent revision of the ministerial ordinance on Good Post-marketing Study Practice (GPSP) included the utilization of medical information databases for post-marketing surveillance, there has been limited research on the validity of diagnosis codes and other outcome definitions in Japanese databases such as administrative claims (“receipt”) database. This task force proposed how to conduct good validations studies, based on the narrative review on around 100 published papers around the world. The established check list consists of : (ⅰ) understanding the type of the database (e.g. administrative claims data, electronic health records, disease registry) ; (ii) understanding the setting of the validation study (e.g. “population-based” or not) ; (iii) defining the study outcome ; (iv) determining the way of linkage between databases ; (v) defining the gold standard ; (vi) selecting the sampling method (e.g. using the information of all patients in the database or a hospital, random sampling from all patients, random sampling from patients satisfying the outcome definition, random sampling from patients satisfying and not satisfying the outcome definition, “all possible cases” method) and sample size ; (vii) calculating the measures of validity (e.g. sensitivity, specificity, positive predictive value, negative predictive value) ; and (viii) discussing how to use the result for future studies. In current Japan, where the linkage between databases is logistically and legally difficult, most validation studies would to be conducted on a hospital basis. In such a situation, detailed description of hospital and patient characteristics is important to discuss the generalizability of the validation study result to the entire database. This report is expected to encourage and help to conduct appropriate validation studies.