1.Quality Indicators for the Detection of Helicobacter pylori-Negative Early Gastric Cancer: A Retrospective Observational Study
Fumiaki ISHIBASHI ; Konomi KOBAYASHI ; Keita FUKUSHIMA ; Ryu TANAKA ; Tomohiro KAWAKAMI ; Junko KATO ; Kazuaki SUGIHARA
Clinical Endoscopy 2020;53(6):698-704
Background/Aims:
While Helicobacter pylori (HP)-negative gastric cancer is frequently reported, little is known about the predictors for detecting HP-negative early gastric cancer (EGC). We aimed to evaluate the predictors for the detection of HP-negative EGC.
Methods:
We retrospectively reviewed 13,477 consecutive asymptomatic cases where upper endoscopy was performed by nine physicians from April 2017 to March 2019 and analyzed the detection rate of high-risk lesions (HRLs), including EGC, tubular adenoma, and lymphoma, according to the status of HP infection. The observation time was corrected for multiple regression analyses.
Results:
For all physicians, the average observation time for screening HP-eradicated and -naïve patients was shorter than that for screening HP-positive patients (p<0.05). Multiple regression analyses revealed that the observation time in the three groups was an independent predictor for detecting HRLs in HP-eradicated patients (p=0.03106, 0.01263, and 0.02485, respectively), while experience of endoscopy was an independent predictor for detecting HRLs in HP-naïve patients (p=0.02638).
Conclusions
While observation time during screening endoscopy was a quality indicator for detecting HRLs in HP-eradicated patients, experience of endoscopy was a quality indicator for detecting HRLs in HP-naïve patients.
2.A Case of Cryptococcosis with a Large Lung Mass
Tomohiro MORIYA ; Takuya SHINMURA ; Naoki KAWAKAMI ; Yoko WAKAI ; Kazuhito SAITO
Journal of the Japanese Association of Rural Medicine 2019;67(5):591-
In many patients with pulmonary cryptococcosis, chest radiographs show solitary or multiple nodular shadows, but pulmonary cryptococcosis with a large mass is rare. A previously healthy 45-year-old man presented to the hospital complaining of fever and cough. Contrast-enhanced computed tomography showed a tumor shadow with a long diameter of 64 mm in the lower lobe of the right lung. We considered the possibility of a lung abscess, but because it was refractory to antibiotics, we suspected the possibility of a malignant tumor. Transbronchial biopsy was performed, and Cryptococcus neoformans was detected. There were no complications of meningitis or immune deficiency, including acquired immune deficiency syndrome. He was administered antifungal drugs, and shrinkage of the shadow was achieved. Pulmonary cryptococcosis should also be considered when a large lung mass is observed.
3.Pharmaceutical Interventions for Cancer Chemotherapy Utilizing Drug Information
Megumi KAWAKAMI ; Noriaki KITADA ; Atsushi YONEZAWA ; Miyako OKAMURA ; Junko OZAKI ; Yasuaki IKEMI ; Shunsaku NAKAGAWA ; Satoshi IMAI ; Takayuki NAKAGAWA ; Keitaro DOI ; Shuji AKIZUKI ; Manabu MUTO ; Tomohiro TERADA
Japanese Journal of Drug Informatics 2023;25(2):83-90
Objective: In patients with specific backgrounds, comprehensive identification of health problems and proactive pharmacist intervention are crucial to providing safe and effective medical care. However, there are insufficient reports on chemotherapy regimen selection and supportive care management in patients taking immunosuppressants. In this study, to circumvent adverse events, pharmacists intervened with a patient administering tacrolimus (TAC) using known information, focusing on multiple factors attributable to the patient in addition to drug interactions.Methods: The patient was a male in their 70s who received palliative chemotherapy for gastric cancer during their dermatomyositis treatment with TAC. Pharmaceutical support for cancer chemotherapy was provided using the following four procedures: (1) Patient information was collected from interviews and electronic medical records to identify patient-specific problems; (2) Basic pharmacological information was collected from tertiary sources, focusing on the interaction between TAC and aprepitant (APR). Furthermore, clinical reports were collected, and the pharmacokinetic drug interaction significance classification system was used for quantitative predictions; (3) The information obtained in steps 1) and 2) was evaluated, and comprehensive proposals linked to the patient information were presented; (4) Adverse events, TAC blood level, and patient outcomes were monitored after treatment initiation.Results: A chemotherapy regimen consisting of S-1/oxaliplatin therapy without APR was selected. The adverse effects were controllable, and the treatment was completed without many adverse events. Meanwhile, TAC adherence was unaffected by cancer chemotherapy, and the TAC blood concentration or dose ratios were controlled within the same range as previously reported.Conclusion: In cancer chemotherapy, for cases with limited evidence or information, comprehensive pharmaceutical support was provided using known patient information, considering multiple patient factors. This report is beneficial as an example of supportive care management by a pharmacist and contributes to providing optimal service in cases with specific backgrounds.