Prediction Model for Severe Thrombocytopenia Induced by Gemcitabine Plus Cisplatin Combination Therapy in Patients with Urothelial Cancer.

BACKGROUND: Chemotherapy-induced thrombocytopenia is often a use-limiting adverse reaction to gemcitabine and cisplatin (GC) combination chemotherapy, reducing therapeutic intensity, and, in some cases, requiring platelet transfusion. OBJECTIVE: A retrospective cohort study was conducted on patients with urothelial cancer at the initiation of GC combination therapy and the objective was to develop a prediction model for the incidence of severe thrombocytopenia using machine learning. METHODS: We performed receiver operating characteristic analysis to determine the cut-off values of the associated factors. Multivariate analyses were conducted to identify risk factors associated with the occurrence of severe thrombocytopenia. The prediction model was constructed from an ensemble model and gradient-boosted decision trees to estimate the risk of an outcome using the risk factors associated with the occurrence of severe thrombocytopenia. RESULTS: Of 186 patients included in this study, 46 (25%) experienced severe thrombocytopenia induced by GC therapy. Multivariate analyses revealed that platelet count ≤ 21.4 (×104/µL) [odds ratio 7.19, p < 0.01], hemoglobin ≤ 12.1 (g/dL) [odds ratio 2.41, p = 0.03], lymphocyte count ≤ 1.458 (×103/µL) [odds ratio 2.47, p = 0.02], and dose of gemcitabine ≥ 775.245 (mg/m2) [odds ratio 4.00, p < 0.01] were risk factors of severe thrombocytopenia. The performance of the prediction model using these associated factors was high (area under the curve 0.76, accuracy 0.82, precision 0.68, recall 0.50, and F-measure 0.58). CONCLUSIONS: Platelet count, hemoglobin level, lymphocyte count, and gemcitabine dose contributed to the development of a novel prediction model to identify the incidence of GC-induced severe thrombocytopenia.

[Factors Related to Submission of Tracing Reports Regarding Cancer Chemotherapy by Pharmacy Pharmacists].

In Japan, use of a report for providing information from pharmacies to medical institutions called as "tracing report (TR)" is not widespread especially in the field of cancer chemotherapy. Identification of the factors related to submission of TRs could enhance the necessity of TRs. The purpose of this study is to clarify the factors related to submission of TRs regarding cancer chemotherapy through a questionnaire survey. A questionnaire survey was conducted at the live web-based seminar regarding cancer chemotherapy held for pharmacists in January 2023. After the questionnaire survey, the participants were divided into those who had submitted at least one TR regarding cancer chemotherapy within one month before the seminar (TR group) and those who had not (non-TR group). The multivariate analysis was conducted to identify factors related to submission of TRs regarding cancer chemotherapy. Of 118 participants, the responses from 93 pharmacy pharmacists involved in dispensing drugs who agreed to participate in this study and fulfilled all questionnaire were analyzed. TR group included 21 participants and non-TR group included 72. As a result of multivariate analysis, "Years of experience in counseling and following-up with patients undergoing cancer chemotherapy (odds ratio: 4.81, p=0.02)" and "Types of workplaces (odds ratio: 3.79, p=0.02)" significantly increased the incidence of submission of TRs regarding cancer chemotherapy. It was revealed that experience of intervention in cancer chemotherapy cases and an environment in which prescriptions for cancer chemotherapy can be handled on a daily basis are important for submission of TRs regarding cancer chemotherapy.

Remote follow-up by pharmacists for blood pressure control in patients with hypertension: a systematic review and a meta-analysis of randomized controlled trials.

Hypertension is a major cause of cardiovascular diseases. Several recent studies reported that pharmacists' remote follow-up reduced hypertension patients' blood pressure (BP). This meta-analysis aims to verify whether remote follow-up by pharmacists improves BP levels and reveal the factors that make the intervention effective. The search, conducted using PubMed/Medline, Embase, and Cochrane Library from June to July 2023, targeted articles published between October 1982 and June 2023, using terms including "pharmacist", "hypertension", and "randomized controlled trial (RCT)". The inclusion criteria were: (a) RCTs involving hypertension patients with or without comorbidities, (b) pharmacists using remote communication tools to conduct follow-up encounter during the intervention period, (c) reporting systolic blood pressure (SBP) at baseline and during intervention. SBP was the primary outcome for the meta-analysis. Thirteen studies (3969 participants) were included in this meta-analysis. The mean difference of SBP between intervention group and control group was - 7.35 mmHg (P < 0.0001). Subgroup analyses showed the greater reduction of SBP in the "regularly scheduled follow-up cohort" (- 8.89 mmHg) compared with the "as needed follow-up cohort" (- 3.23 mmHg, P < 0.0001). The results revealed that remote follow-up by pharmacists reduced SBP levels in hypertension patients and scheduled remote follow-up may contribute to the effectiveness.

Effectiveness of Online Team-based Learning for Pharmacists on How to Conduct Clinical Medication Reviews for Old Patients in Japan: A Randomized Controlled Trial.

BACKGROUND/AIM: This study aimed to determine the effectiveness of online team-based learning (TBL) and the factors influencing dropouts from online TBL for pharmacists on how to conduct clinical medication reviews for older adults. PARTICIPANTS AND METHODS: All participants were randomly assigned to the TBL or non-TBL group by using a random number sequence table matched by their years of experience working as a pharmacist. The primary outcome was whether the score on the team readiness assurance test (TRAT) in the TBL group differed from that on the second individual readiness assurance test (IRAT) in the non-TBL group. The secondary outcome was to identify factors contributing to dropouts from the online TBL program. RESULTS: The TRAT score in the TBL group was significantly higher than the second IRAT score in the non-TBL group during the first session (p=0.010). There were no differences in TRAT and IRAT scores between groups in two subsequent sessions. Logistic regression analysis revealed that less than 10 years of pharmacy experience was a contributor to dropouts (p=0.039), whereas experience in home-based care prevented dropouts (p=0.026) in our online TBL program. CONCLUSION: This study revealed the short-term usefulness of online TBL on medication reviews for older adults and elucidated the factors related to dropouts. Although instructors should provide positive feedback to participants with insufficient experience in pharmacy practice and home-based care, online TBL has the potential to improve educational effectiveness for community pharmacists during the COVID-19 pandemic.