Rationale and Design of Prospective, Multicenter, Double-Arm Clinical Trial to Investigate the Efficacy of Tofogliflozin on Left Ventricular Diastolic Dysfunction in Patients with Heart Failure with Preserved Ejection Fraction and Type 2 Diabetes Mellitus (TOP-HFPEF Trial).

BACKGROUND: Recent large clinical trials have revealed that sodium-glucose cotransporter 2 (SGLT2) inhibitors improve cardiovascular outcomes not only in patients with heart failure with reduced ejection fraction, but also in patients with heart failure with mildly reduced or preserved ejection fraction (HFpEF). However, the effect of SGLT2 inhibitors on left ventricular (LV) diastolic function is still controversial. METHODS AND RESULTS: The TOP-HFPEF trial (Efficacy of Tofogliflozin on Left Ventricular Diastolic Dysfunction in Patients with Heart Failure with Preserved Ejection Fraction and Type 2 Diabetes Mellitus) is a multicenter, double-arm, open-label, confirmatory, investigator-initiated clinical study to investigate the effect of SGLT2 inhibitor on LV diastolic function in patients with HFpEF and type 2 diabetes mellitus. The participants are randomly assigned (1:1) to the tofogliflozin group (20 mg once daily) or the control group (administration or continuation of antidiabetic drugs other than SGLT2 inhibitors). The estimated number of patients to be enrolled in this trial is 90 in total (45 in each group). The participants are followed up for 52 weeks with tofogliflozin or control drugs. The primary endpoint is the change in E/e' assessed by echocardiography from the baseline to the end of this study (52 weeks). This trial will also evaluate the effects of tofogliflozin on cardiovascular events, biomarkers, other echocardiographic parameters, the occurrence of atrial fibrillation, and renal function. CONCLUSIONS: The TOP-HFPEF trial will clarify the efficacy of an SGLT2 inhibitor, tofogliflozin, on LV diastolic function in patients with HFpEF and type 2 diabetes mellitus.

Use of clinical variables for preoperative prediction of lymph node metastasis in endometrial cancer.

OBJECTIVE: Endometrial cancer is the most common gynaecological cancer, and most patients are identified during early disease stages. Noninvasive evaluation of lymph node metastasis likely will improve the quality of clinical treatment, for example, by omitting unnecessary lymphadenectomy. METHODS: The study population comprised 611 patients with endometrial cancer who underwent lymphadenectomy at four types of institutions, comprising seven hospitals in total. We systematically assessed the association of 18 preoperative clinical variables with postoperative lymph node metastasis. We then constructed statistical models for preoperative lymph node metastasis prediction and assessed their performance with a previously proposed system, in which the score was determined by counting the number of high-risk variables among the four predefined ones. RESULTS: Of the preoperative 18 variables evaluated, 10 were significantly associated with postoperative lymph node metastasis. A logistic regression model achieved an area under the curve of 0.85 in predicting lymph node metastasis; this value is significantly higher than that from the previous system (area under the curve, 0.74). When we set the false-negative rate to ~1%, the new predictive model increased the rate of true negatives to 21%, compared with 6.8% from the previous one. We also provide a spreadsheet-based tool for further evaluation of its ability to predict lymph node metastasis in endometrial cancer. CONCLUSIONS: Our new lymph node metastasis prediction method, which was based solely on preoperative clinical variables, performed significantly better than the previous method. Although additional evaluation is necessary for its clinical use, our noninvasive system may help improve the clinical treatment of endometrial cancer, complementing minimally invasive sentinel lymph node biopsy.

The inter-laboratory validation study of EpiSensA for predicting skin sensitization potential.

The Epidermal Sensitization Assay (EpiSensA) is a reconstructed human epidermis (RhE)-based gene expression assay for predicting the skin sensitization potential of chemicals. Since the RhE model is covered by a stratified stratum corneum, various kinds of test chemicals, including lipophilic ones and pre-/pro-haptens, can be tested with a route of exposure akin to an in vivo assay and human exposure. This article presents the results of a formally managed validation study of the EpiSensA that was carried out by three participating laboratories. The purpose of this validation study was to assess transferability of the EpiSensA to new laboratories along with its within- (WLR) and between-laboratory reproducibility (BLR). The validation study was organized into two independent stages. As demonstrated during the first stage, where three sensitizers and one non-sensitizer were correctly predicted by all participating laboratories, the EpiSensA was successfully transferred to all three participating laboratories. For Phase I of the second stage, each participating laboratory performed three experiments with an identical set of 15 coded test chemicals resulting in WLR of 93.3%, 93.3%, and 86.7%, respectively. Furthermore, when the results from the 15 test chemicals were combined with those of the additional 12 chemicals tested in Phase II of the second stage, the BLR for 27 test chemicals was 88.9%. Moreover, the predictive capacity among the three laboratories showed 92.6% sensitivity, 63.0% specificity, 82.7% accuracy, and 77.8% balanced accuracy based on murine local lymph node assay (LLNA) results. Overall, this validation study concluded that EpiSensA is easily transferable and sufficiently robust for assessing the skin sensitization potential of chemicals.

Optimal dose escalation methods using deep reinforcement learning in phase I oncology trials.

In phase I trials of a novel anticancer drug, one of the most important objectives is to identify the maximum tolerated dose (MTD). To this end, a number of methods have been proposed and evaluated under various scenarios. However, the percentages of correct selection (PCS) of MTDs using previous methods are insufficient to determine the dose for late-phase trials. The purpose of this study is to construct an action rule for escalating or de-escalating the dose and continuing or stopping the trial to increase the PCS as much as possible. We show that deep reinforcement learning with an appropriately defined state, action, and reward can be used to construct such an action selection rule. The simulation study shows that the proposed method can improve the PCS compared with the 3 + 3 design, CRM, BLRM, BOIN, mTPI, and i3 + 3 methods.

Group Cognitive-Behavioral Therapy With Interoceptive Exposure for Drug-Refractory Irritable Bowel Syndrome: A Randomized Controlled Trial.

INTRODUCTION: Few people can access psychotherapy for irritable bowel syndrome (IBS). Group cognitive-behavioral therapy (GCBT) may be efficient, but the evidence for its efficacy is weak and limited. We aimed to assess the efficacy and safety of GCBT with interoceptive exposure (GCBT-IE), a novel form of GCBT for drug-refractory IBS. METHODS: A single-center, open-label, randomized, controlled trial was conducted in Japan among people aged 18-75 years with moderate-to-severe drug-refractory IBS. Participants were stratified by IBS severity and allocated 1:1 to 10-week GCBT-IE or waiting list (WL) in a blockwise randomization by independent staff. Both arms practiced self-monitoring and received treatment as usual. Multiple primary outcomes were changes from baseline to week 13 in the IBS Symptom Severity Score and the IBS Quality of Life Measure (IBS-QOL), assessed in the intention-to-treat sample. RESULTS: A total of 114 people with drug-refractory IBS were randomized to GCBT-IE (n = 54) or WL (n = 60). Forty-nine participants (90.7%) in the GCBT-IE arm and 58 (96.7%) in the WL arm completed the week 13 assessment. Participants in the GCBT-IE arm reported greater improvements in both IBS symptom severity and quality of life compared with the WL arm, with -115.8 vs -29.7 on the IBS Symptom Severity Score (a difference of -86.1, 95% confidence interval -117.3 to -55.0), and 20.1 vs -0.2 on the IBS-QOL (a difference of 20.3, 95% confidence interval 15.2-25.3), respectively. Six unexpected serious adverse events were reported but were judged as unrelated to the interventions. DISCUSSION: GCBT-IE is an efficacious, safe, and efficient treatment option for people with drug-refractory IBS.

Flexible use of copula-type model for dose-finding in drug combination clinical trials.

Identification of the maximum tolerated dose combination (MTDC) of cancer drugs is an important objective in phase I oncology trials. Numerous dose-finding designs for drug combination have been proposed over the years. Copula-type models exhibit distinctive advantages in this task over other models used in existing competitive designs. For example, their application enables the consideration of dose-limiting toxicities attributable to one of two agents. However, if a particular combination therapy demonstrates extremely synergistic toxicity, copula-type models are liable to induce biases in toxicity probability estimators due to the associated Fréchet-Hoeffding bounds. Consequently, the dose-finding performance may be worse than those of other competitive designs. The objective of this study is to improve the performance of dose-finding designs based on copula-type models while maintaining their advantageous properties. We propose an extension of the parameter space of the interaction term in copula-type models. This releases the Fréchet-Hoeffding bounds, making the estimation of toxicity probabilities more flexible. Numerical examples in various scenarios demonstrate that the performance (e.g., the percentage of correct MTDC selection) of the proposed method is better than those exhibited by existing copula-type models and comparable with those of other competitive designs, irrespective of the existence of extreme synergistic toxicity. The results obtained in this study could motivate the real-world application of the proposed method in cases requiring the utilization of the properties of copula-type models.

Optimal adaptive allocation using deep reinforcement learning in a dose-response study.

Estimation of the dose-response curve for efficacy and subsequent selection of an appropriate dose in phase II trials are important processes in drug development. Various methods have been investigated to estimate dose-response curves. Generally, these methods are used with equal allocation of subjects for simplicity; nevertheless, they may not fully optimize performance metrics because of nonoptimal allocation. Optimal allocation methods, which include adaptive allocation methods, have been proposed to overcome the limitations of equal allocation. However, they rely on asymptotics, and thus sometimes cannot efficiently optimize the performance metric with the sample size in an actual clinical trial. The purpose of this study is to construct an adaptive allocation rule that directly optimizes a performance metric, such as power, accuracy of model selection, accuracy of the estimated target dose, or mean absolute error over the estimated dose-response curve. We demonstrate that deep reinforcement learning with an appropriately defined state and reward can be used to construct such an adaptive allocation rule. The simulation study shows that the proposed method can successfully improve the performance metric to be optimized when compared with the equal allocation, D-optimal, and TD-optimal methods. In particular, when the mean absolute error was set to the metric to be optimized, it is possible to construct a rule that is superior for many metrics.

Within- and between-laboratory reproducibility and predictive capacity of amino acid derivative reactivity assay (ADRA) using a 0.5 mg/mL test chemical solution: Results of the study for reproducibility confirmation implemented in five participating laboratories.

The amino acid derivative reactivity assay (ADRA) is an in chemico alternative assay for skin sensitization listed in OECD test guideline 442C. ADRA evaluates the reactivity of sensitizers to proteins, which is key event 1 in the skin sensitization adverse outcome pathway. Although the current key event 1 evaluation method is a simple assay that evaluates nucleophile and test chemical reactivity, mixtures of unknown molecular weights cannot be evaluated because a constant molar ratio between the nucleophile and test chemical is necessary. In addition, because the nucleophile is quantified by HPLC, the frequency of co-eluting the test chemical and nucleophile increases when measuring multi-component mixtures. To solve these issues, test conditions have been developed using a 0.5 mg/mL test chemical solution and fluorescence-based detection. Since the practicality of these methods has not been substantiated, a validation test to confirm reproducibility was conducted in this study. The 10 proficiency substances listed in the ADRA guidelines were tested three times at five different laboratories. The results of both within- and between-laboratory reproducibility were 100%, and the results of ultraviolet- and fluorescence-based measurements were also consistent. In addition to the proficiency substances, a new positive control, squaric acid diethyl ester, was tested three times at the five laboratories. The results showed high reproducibility with N-(2-(1-naphthyl)acetyl)-l-cysteine depletion of 37%-52% and α-N-(2-(1-naphthyl)acetyl)-l-lysine depletion of 99%-100%. Thus, high reproducibility was confirmed in both evaluations of the 0.5 mg/mL test chemical and the fluorescence-based measurements, validating the practicability of these methods.

The within- and between-laboratories reproducibility and predictive capacity of Amino acid Derivative Reactivity Assay using 4 mM test chemical solution: Results of ring study implemented at five participating laboratories.

Amino acid derivative reactivity assay (ADRA) for skin sensitization was adopted as an alternative method in the 2019 OECD Guideline for the Testing of Chemicals (OECD TG 442C). The molar ratio of the nucleophilic reagent to the test chemicals in the reaction solution was set to 1:50. Imamura et al. reported that changing this molar ratio from 1:50 to 1:200 reduced in false negatives and improved prediction accuracy. Hence, a ring study using ADRA with 4 mM of a test chemical solution (ADRA, 4 mM) was conducted at five different laboratories to verify within- and between-laboratory reproducibilities (WLR and BLR, respectively). In this study, we investigated the WLR and BLR using 14 test chemicals grouped into three classes: (1) eight proficiency substances, (2) four test chemicals that showed false negatives in the ADRA with 1 mM test chemical solution (ADRA, 1 mM), but correctly positive in ADRA (4 mM), and (3) current positive control (phenylacetaldehyde) and a new additional positive control (squaric acid diethyl ester). The results showed 100% reproducibility and 100% accuracy for skin sensitization. Hence, it is clear that the ADRA (4 mM) is an excellent test method in contrast to the currently used ADRA (1 mM). We plan to resubmit the ADRA (4 mM) test method to the OECD Test Guideline Group in the near future so that OECD TG 442C could be revised for the convenience and benefit of many ADRA users.

Predicting study duration in clinical trials with a time-to-event endpoint.

In event-driven clinical trials comparing the survival functions of two groups, the number of events required to achieve the desired power is usually calculated using the Freedman formula or the Schoenfeld formula. Then, the sample size and the study duration derived from the required number of events are considered; however, their combination is not uniquely determined. In practice, various combinations are examined considering the enrollment speed, study duration, and the cost of enrollment. However, effective methods for visually representing their relationships and evaluating the uncertainty in study duration are insufficient. We developed a graphical approach for examining the relationship between sample size and study duration. To evaluate the uncertainty in study duration under a given sample size, we also derived the probability density function of the study duration and a method for updating the probability density function according to the observed number of events (ie, information time). The proposed methods are expected to improve the operation and management of clinical trials with a time-to-event endpoint.

Matrix decomposition in meta-analysis for extraction of adverse event pattern and patient-level safety profile.

The purpose of assessing adverse events (AEs) in clinical studies is to evaluate what AE patterns are likely to occur during treatment. In contrast, it is difficult to specify which of these patterns occurs in each patient. To tackle this challenging issue, we constructed a new statistical model including nonnegative matrix factorization by incorporating background knowledge of AE-specific structures such as severity and drug mechanism of action. The model uses a meta-analysis framework for integrating data from multiple clinical studies because insufficient information is derived from a single trial. We demonstrated the proposed method by applying it to real data consisting of three Phase III studies, two mechanisms of action, five anticancer treatments, 3317 patients, 848 AE types, and 99,546 AEs. The extracted typical treatment-specific AE patterns coincided with medical knowledge. We also demonstrated patient-level safety profiles using the data of AEs that were observed by the end of the second cycle.

Primary Endpoints in Current Phase II/III Trials for Alzheimer Disease: A Systematic Survey of Trials Registered at ClinicalTrials.gov.

This study examined the primary and secondary endpoints used by recent phase II/III randomized controlled trials (RCTs) of drugs for the Alzheimer disease. We searched the Clinical Trials.gov database to identify all RCTs registered from January 1, 2011 until August 19, 2018. We identified 122 RCTs and examined primary and secondary endpoints most commonly used. The median number of primary endpoints was 1 (range: 1 to 48) and the median number of secondary endpoints was 4 (range: 1 to 19). Cognitive function was used as a primary endpoint by 59% of the RCTs identified. Although few trials included a primary outcome set that fulfilled the US Food and Drug Administration (FDA) or European Committee for Medicinal Products for Human Use (CHMP) requirements, these were met by a combination of the primary and secondary outcomes of more than half of the trials.

Group cognitive behavioural therapy (GCBT) versus treatment as usual (TAU) in the treatment of irritable bowel syndrome (IBS): a study protocol for a randomized controlled trial.

BACKGROUND: Irritable bowel syndrome (IBS) is a common disease that affects the quality of life (QOL) and social functioning of sufferers. Visceral anxiety is currently considered a key factor in the onset and exacerbation of IBS, and cognitive-behavioural therapy (CBT) targeting visceral anxiety is thought to be effective. However, access to CBT is limited due to the lack of trained therapists, the substantial time required for therapy and the associated costs. Group CBT (GCBT) may solve some of these problems. We have therefore planned this trial to examine the efficacy of GCBT for IBS. METHODS: The trial is a two-armed, parallel group, open label, stratified block randomized superiority trial. The study group will consist of 112 participants (aged 18-75 years) with IBS (Rome-III or IV criteria). Participants will be randomly allocated 1:1 to (i) the intervention group: ten-week GCBT plus treatment as usual (TAU) or (ii) the control group: waiting list (WL) plus TAU. The co-primary outcomes are the change in IBS severity or disease-specific quality of life from baseline to week 13 which is 1 month after the end of treatment. The efficacy of GCBT for IBS will be examined through mixed-effects repeated-measures analysis. DISCUSSION: GCBT, if found effective, can address the issues of the shortage of therapists as well as the time required and the costs associated with individual CBT. Clinically, the findings will help make effective CBT programmes accessible to a large number of distressed IBS patients at lower costs. Theoretically, the results will clarify the relationship between IBS and psychological stress and will help elucidate the underlying mechanisms of IBS. TRIAL REGISTRATION: UMIN, CTR-UMIN000031710. Registered on March 13, 2018.

The within- and between-laboratory reproducibility and predictive capacity of the in chemico amino acid derivative reactivity assay: Results of validation study implemented in four participating laboratories.

The amino acid derivative reactivity assay (ADRA) is an in chemico alternative method that focuses on protein binding as the molecular initiating event for skin sensitization. It is a simple and versatile method that has successfully solved some of the problems of the direct peptide reactivity assay (DPRA). The transferability and within- and between-laboratory reproducibility of ADRA were evaluated and confirmed as part of a validation study conducted at four participating laboratories. The transfer of ADRA technology from the lead laboratory to the four participating laboratories was completed successfully during a two-step training program, after which the skin sensitization potentials of 40 coded chemicals were predicted based on the results of ADRA testing. Within-laboratories reproducibility was 100% (10 of 10), 100% (10 of 10), 100% (7 of 7) and 90% (9 of 10), or an average of 97.3% (36 of 37); between-laboratory reproducibility as calculated on the results of three laboratories at the time was 91.9%. The overall predictive capacity comprised an accuracy of 86.9%, sensitivity of 81.5% and specificity of 98.1%. These results satisfied the targets set by the validation management team for demonstrating transferability, within- and between-laboratory reproducibility, and predictive capacity as well as gave a clear indication that ADRA is easily transferable and sufficiently robust to be used in place of DPRA.

Multi-laboratory Validation Study of the Vitrigel-Eye Irritancy Test Method as an Alternative to In Vivo Eye Irritation Testing.

Collagen vitrigel membranes (CVMs) comprising high-density collagen fibrils equivalent to in vivo connective tissues have been widely used in cell culture applications. A human corneal epithelium (hCE) model was previously developed by the Takezawa group, by culturing HCE-T cells (derived from hCE cells) on a CVM scaffold in a chamber that provided an air-liquid interface culture system. This hCE model was used to establish a new test method, known as the Vitrigel-Eye Irritancy Test (Vitrigel-EIT) method, which can be used to estimate the ocular irritation potential of test chemicals by analysing relative changes in transepithelial electrical resistance (TEER) over time. The current study was conducted in order to assess the reliability and relevance of the Vitrigel-EIT method at three participating laboratories by determining the method's within-laboratory reproducibility and between-laboratory reproducibility, as well as its capacity for distinguishing non-irritants from irritants in a bottom-up approach. The initial test sample size was found to be too low to evaluate the predictive capacity of the test method, and so it was evaluated with additional in-house data for a total of 93 test chemicals. The results showed 80-100% within-laboratory reproducibility and an excellent between-laboratory reproducibility that met the acceptance criteria of 80%. However, the method's predictive capacity for distinguishing non-irritants (test chemicals not requiring classification and labelling for eye irritation or serious eye damage, i.e. United Nations Globally Harmonised System of Classification and Labelling of Chemicals (GHS) No Category) from irritants (GHS Categories 1 and 2) in a bottom-up approach was unacceptable because of false negative rates as high as 16.7%. After considerable review of the data with a view to using the method for regulatory purposes, it was determined that a more defined applicability domain, excluding test chemical solutions with a pH of 5 or less and solid test chemicals, improved the false negative rate to 4.2%. These results suggested that, within this carefully defined applicability domain, the Vitrigel-EIT method could be a useful alternative for distinguishing test chemicals that are ocular non-irritants from those that are irritants as part of a bottom-up approach.

Impact of Donor Age on Recipient Survival in Adult-to-Adult Living-donor Liver Transplantation.

OBJECTIVE: To investigate the influence of donor age on recipient outcome after living-donor partial liver transplantation (LDLT). BACKGROUND: Donor age is a well-known prognostic factor in deceased donor liver transplantation; however, its role in LDLT remains unclear. METHODS: We retrospectively analyzed 315 consecutive cases of primary adult-to-adult LDLT in our center between April 2006 and March 2014. Recipients were divided into 5 groups according to the donor age: D-20s (n = 60); D-30s (n = 72); D-40s (n = 57); D-50s (n = 94); and D-60s (n = 32). The recipient survival and the association with various clinical factors were investigated. RESULTS: Recipient survival proportions were significantly higher in D-20s compared with all the other groups (P = 0.008, < 0.001, < 0.001, and = 0.006, vs D-30s, -40s, -50s, and -60s, respectively), whereas there was no association between recipient survival and their own age. There are 3 typical relationships between donors and recipients in adult-to-adult LDLT: from child-to-parent, between spouses/siblings, and from parent-to-child. The overall survival in child-to-parent was significantly higher than in spouses/siblings (P = 0.002) and in parent-to-child (P = 0.005), despite significantly higher recipient age in child-to-parent [59 (42-69) years, P < 0.001]. Contrastingly, parent-to-child exhibited the lowest survival, despite the youngest recipient age [26 (20-43) years, P < 0.001]. In addition, younger donor age exhibited significantly better recipient survival both in hepatitis C virus-related and in non-hepatitis C virus diseases. Univariate and multivariate analyses both demonstrated that donor age and graft-type (right-sided livers) are independent prognostic factors for recipient survival. CONCLUSIONS: Donor age is an independent, strong prognostic factor in adult-to-adult LDLT.

Self-efficacy modulates the neural correlates of craving in male smokers and ex-smokers: an fMRI study.

The regulation of cue-induced craving for cigarettes is a key factor in smoking cessation. Outcomes of smoking cessation have been linked to self-efficacy, faith in one's own ability, in smokers. However, no study has examined the neural basis of self-efficacy during the control of craving. We examined whether self-efficacy can affect the neural response to smoking cues in smokers and ex-smokers using functional magnetic resonance imaging. During scanning, participants were instructed (1) to view smoking-related images passively, (2) to view the smoking-related images with a strategy focused on self-efficacy to control cue-induced craving or (3) to view neutral images. In smokers, the self-efficacy strategy significantly reduced self-reported craving. This strategy was related to increased activation in the rostral medial prefrontal cortex (rmPFC) and the pregenual anterior cingulate cortex in smokers compared with ex-smokers. Furthermore, smokers showed increased effective connectivity between rmPFC and hippocampus and between pregenual anterior cingulate cortex and parahippocampus gyrus when employing the self-efficacy strategy compared with ex-smokers. The magnitude of the rmPFC-hippocampus connectivity was positively correlated with self-reported self-efficacy. Our findings suggest that in smokers, self-efficacy is related to activation and connectivity in brain regions involved in regulating craving and self-assessment. The current study provides evidence for understanding the vunderlying cognitive and neurobiological mechanisms involved in the control of craving to smoke cigarettes.

Sizing clinical trials when comparing bivariate time-to-event outcomes.

Clinical trials with multiple primary time-to-event outcomes are common. Use of multiple endpoints creates challenges in the evaluation of power and the calculation of sample size during trial design particularly for time-to-event outcomes. We present methods for calculating the power and sample size for randomized superiority clinical trials with two correlated time-to-event outcomes. We do this for independent and dependent censoring for three censoring scenarios: (i) the two events are non-fatal; (ii) one event is fatal (semi-competing risk); and (iii) both are fatal (competing risk). We derive the bivariate log-rank test in all three censoring scenarios and investigate the behavior of power and the required sample sizes. Separate evaluations are conducted for two inferential goals, evaluation of whether the test intervention is superior to the control on: (1) all of the endpoints (multiple co-primary) or (2) at least one endpoint (multiple primary). Copyright © 2017 John Wiley & Sons, Ltd.

Effects of a self-management program on antiemetic-induced constipation during chemotherapy among breast cancer patients: a randomized controlled clinical trial.

Research on patient-reported outcomes indicates that constipation is a common adverse effect of chemotherapy, and the use of 5-hydroxytryptamine (serotonin; 5HT3) receptor antagonists aggravates this condition. As cancer patients take multiple drugs as a part of their clinical management, a non-pharmacological self-management (SM) of constipation would be recommended. We aimed to evaluate the effectiveness of a SM program on antiemetic-induced constipation in cancer patients. Thirty patients with breast cancer, receiving 5HT3 receptor antagonists to prevent emesis during chemotherapy were randomly assigned to the intervention or control group. The SM program consisted of abdominal massage, abdominal muscle stretching, and education on proper defecation position. The intervention group started the program before the first chemotherapy cycle, whereas patients in the wait-list control group received the program on the day before their second chemotherapy cycle. The primary outcome was constipation severity, assessed by the constipation assessment scale (CAS, sum of eight components). The secondary outcome included each CAS component (0-2 points) and mood states. A self-reported assessment of satisfaction with the program was performed. The program produced a statistically and clinically significant alleviation of constipation severity (mean difference in CAS, -3.00; P = 0.02), decrease in the likelihood of a small volume of stool (P = 0.03), and decrease in depression and dejection (P = 0.02). With regards to program satisfaction, 43.6 and 26.4 % patients rated the program as excellent and good, respectively. Our SM program is effective for mitigating the symptoms of antiemetic-induced constipation during chemotherapy.

Weight Loss Associated with Platinum-Based Chemotherapy in Patients with Advanced Lung Cancer.

BACKGROUND: We examined whether the weight loss that occurs with platinum-based chemotherapy in lung cancer patients is associated with chemotherapy side effects, treatment completion rates and therapeutic effect. METHODS: We retrospectively reviewed charts of advanced lung cancer patients treated with ≥2 cycles of platinum-based chemotherapy. Patients were divided into 2 groups based on ≥5 or <5% weight loss. Relationships between weight loss and other variables were investigated. RESULTS: Among 114 patients, 18 (15.8%) experienced ≥5% weight loss. Significantly more patients with small-cell lung cancer (SCLC) than with non-SCLC were found to have ≥5% weight loss (30.8 vs. 11.4%, p = 0.023). Patients with ≥5% weight loss experienced higher incidences of grade 3-4 leukopenia (p = 0.008) and neutropenia (p = 0.005), and treatment completion rates were lower in this group (p = 0.035). Weight loss was not significantly associated with therapeutic effect. CONCLUSION: The weight loss in patients with advanced lung cancer receiving platinum-based chemotherapy is associated with SCLC, grade 3-4 leukopenia, neutropenia and a decrease in treatment completion rate.