Neoadjuvant chemotherapy, that is, the administration of chemotherapy before surgery, has been commonly used for locally advanced breast cancer to improve the surgical outcomes and increase the opportunity for breast-conserving therapy. Women with breast cancer often receive an anthracycline-based regimen as the neoadjuvant chemotherapy, which is associated with a high risk of emesis. Despite the development of novel antiemetics, chemotherapy-induced nausea and vomiting (CINV) has been commonly reported as a major adverse effect, affecting the quality of life of the patients. However, the factors predicting CINV in women with breast cancer undergoing neoadjuvant chemotherapy remain unclear. In this single-institution, prospective, observational study conducted at an outpatient cancer centre in the Republic of Korea from November 2013 to March 2016, we analysed women with breast cancer who planned to be treated with neoadjuvant chemotherapy before surgery. Candidate factors associated with CINV were assessed before neoadjuvant chemotherapy using the Munich Chronotype Questionnaire, Pittsburgh Sleep Quality Index and Hospital Anxiety and Depression Scale. CINV was assessed after chemotherapy by using the Multinational Association of Supportive Care in Cancer Antiemesis Tool. Of a total of 143 participants, 7 patients were lost to follow-up and 2 patients were excluded due to changes in their treatment plan; thus, 134 patients were finally included in the analyses. Overall, 48.5% of the participants experienced CINV, with delayed CINV prevalence (42.5%) being more common than acute (39.6%). In the univariate analyses, overall CINV was significantly associated with late chronotypes (odds ratio [OR], 3.49; 95% confidence interval [CI], 1.37-8.87; p = 0.009), a history of nausea/vomiting (OR, 2.19; 95% CI, 1.10-4.37; p = 0.026) and anxiety (OR, 2.25; 95% CI, 1.05-4.81; p = 0.036). In the multivariate analyses, late chronotypes (OR, 3.53; 95% CI, 1.27-9.79; p = 0.015) and a history of nausea/vomiting (OR, 2.83; 95% CI, 1.31-6.13; p = 0.008) remained significantly associated with CINV. In conclusion, in women with breast cancer undergoing neoadjuvant chemotherapy before surgery, late chronotypes were found to have an increased risk of CINV; these data suggest that clinicians need to assess and consider the chronotype in the management of CINV.
In order to diagnose cardiovascular disease, we proposed EP-based(emerging pattern-based) classification technique using multi-parametric diagnosis indexes. We analyzed linear/nonlinear features of HRV for three recumbent postures and extracted four diagnosis indexes from ST-segments to apply the multi-parametric diagnosis indexes. In this paper, classification model using essential emerging patterns for diagnosing disease was applied. This classification technique discovers disease patterns of patient group and these emerging patterns are frequent in patients with cardiovascular disease but are not frequent in the normal group. To evaluate proposed classification algorithm, 120 patients with AP (angina pectrois), 13 patients with ACS(acute coronary syndrome) and 128 normal people data were used. As a result of classification, when multi-parametric indexes were used, the percent accuracy in classifying three groups was turned out to be about 88.3%.
Chronotypes are classified as morning, evening, or intermediate, but there are reports of a bimodal type. This study was undertaken to describe the characteristics of the bimodal chronotype and to explore relationships between the bimodal type and psychiatric disorders, fatigue, and quality of life. A total of 2389 subjects from a Korean national epidemiological survey of psychiatric disorders responded during face-to-face interviews. The Korean Composite International Diagnostic Interview was used to diagnose psychiatric disorders, and the Composite Scale of Morningness was used to assess chronotypes. Among intermediate-type subjects, those with a positive bimodal index were classified as bimodal type. In the present study, the proportions of bimodal, morning, intermediate, and evening types were 4.8%, 10.8%, 73.3%, and 11.1%, respectively. Distributions of sociodemographic variables were similar for the bimodal and intermediate types. After controlling for sociodemographic variables, any mood disorder and major depressive disorder were found to be significantly more associated with the bimodal type than the morning type, and dysthymic disorder was significantly more associated with the bimodal type than the intermediate type. For quality-of-life domains, moderate or extreme pain/discomfort was complained about more by subjects with the bimodal type than other types. In summary, the study shows chronotypes differ with respect to their relationships with mood disorder and quality of life. Before the bimodal type is classified as a clinically valid type, further investigations are needed to examine its psychological, physiological, and genetic characteristics.
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