Modified MRC assessment and FEV1.0 can predict frequent acute exacerbation of COPD: An observational prospective cohort study at a single-center in Japan.

INTRODUCTION: Acute exacerbation (AE) of chronic obstructive pulmonary disease (COPD) is a fatal event, leading to poor outcomes among COPD patients. However, exact frequency and poor prognostic factors are not well known in Japan. METHODS: and patients, To assess the frequency and risk factors of AE, we performed this prospective cohort study at the Kameda Medical Center in Japan between during 2011 and 2013. AE was defined as an acute worsening of respiratory symptoms according to the GOLD guideline. Furthermore, we compared the exacerbation-free time between the groups. RESULTS: A total of 330 patients (230 COPD patients and 100 smoking controls) were enrolled in the study. The mean age in the study was 73 years, and 94% of the patients were male. As for the frequency of AE, 0.17 times/patients/year was found in all patients. The frequency of AE increased as the COPD disease severity (p = 0.042 by Jonch-Heere terpla test). GOLD I patients had longer exacerbation-free time than GOLD II, and GOLD II grade COPD patients had longer exacerbation-free time than GOLD III grade COPD patients. In terms of risk factors for AE, logistic regression analysis showed that Modified Medical Research Council (mMRC) scale ≥3 and FEV1.0% <50% were independent poor prognostic factors for moderate grade of AE events, and mMRC scale ≥3 was independent poor prognostic factor for severe AE events. CONCLUSION: The frequency of AE increases as the disease severity becomes more severe. We found mMRC scale >3 and FEV1 <50% were risk factors for AE-COPD.

Combination of Sequential Organ Failure Assessment (SOFA) score and Charlson Comorbidity Index (CCI) could predict the severity and prognosis of candidemia more accurately than the Acute Physiology, Age, Chronic Health Evaluation II (APACHE II) score.

BACKGROUND: Candidemia has emerged as an important nosocomial infection, with a mortality rate of 30-50%. It is the fourth most common nosocomial bloodstream infection (BSI) in the United States and the seventh most common nosocomial BSI in Europe and Japan. The aim of this study was to assess the performance of the Sequential Organ Failure Assessment (SOFA) score for determining the severity and prognosis of candidemia. METHODS: We performed a retrospective study of patients admitted to hospital with candidemia between September 2014 and May 2018. The severity of candidemia was evaluated using the SOFA score and the Acute Physiology, Age, Chronic Health Evaluation II (APACHE II) score. Patients' underlying diseases were assessed by the Charlson Comorbidity Index (CCI). RESULTS: Of 70 patients enrolled, 41 (59%) were males, and 29 (41%) were females. Their median age was 73 years (range: 36-93 years). The most common infection site was catheter-related bloodstream infection (n=36, 51%).The 30-day, and in-hospital mortality rates were 36 and 43%, respectively. Univariate analysis showed that SOFA score ≥5, APACHE II score ≥13, initial antifungal treatment with echinocandin, albumin < 2.3, C-reactive protein > 6, disturbance of consciousness, and CCI ≥3 were related with 30-day mortality. Of these 7, multivariate analysis showed that the combination of SOFA score ≥5 and CCI ≥3 was the best independent prognostic indicator for 30-day and in-hospital mortality. CONCLUSIONS: The combined SOFA score and CCI was a better predictor of the 30-day mortality and in-hospital mortality than the APACHE II score alone.

Clinical feasibility of resting full-cycle ratio as a unique non-hyperemic index of invasive functional lesion assessment.

The resting full-cycle ratio (RFR) is a new physiologic index to assess myocardial ischemia. RFR and fractional flow reserve (FFR), the conventionally used index, have not been directly compared in evaluating the entire cardiac cycle. Accordingly, we aimed to compare the diagnostic performance of RFR directly with FFR and clarify the clinical feasibility of RFR as a unique non-hyperemic index in evaluating the cardiac cycle. The diagnostic performance of RFR was compared with FFR using an automated online calculation software. A total of 156 consecutive patients with 220 intermediate lesions were enrolled. RFR showed significant correlation with FFR (r = 0.774, p < 0.001). RFR systole and RFR diastole did also with FFR (r = 0.918, p < 0.001, and r = 0.733, p < 0.001, respectively). With FFR < 0.80 as a reference standard, RFR showed good diagnostic accuracy (DA: 80.5%), similar DA between RFR systole and RFR diastole (79.6% and 87.5%, p = 0.58, respectively), and good DA in any lesion locations, especially in non-left anterior descending coronary artery (LAD) lesions (73.7% and 87.6% for LAD vs. non-LAD, p < 0.05, respectively). RFR is a feasible and reliable non-hyperemic index regardless of the difference in cardiac cycle in evaluating physiological lesion severity in daily practice.

Benefits of pharmacogenomics in drug development-earlier launch of drugs and less adverse events.

Currently, pharmaceutical companies are reluctant to introduce pharmacogenomics (PGx) in their practice, since cost-benefit of PGx is obscure and methodology to use PGx in drug development has not been fully established yet. The purpose of this study is to investigate advantages obtained by introducing PGx in clinical trials. Particularly, taking Warfarin as an example, we investigate benefits of Enrichment effect that raises response rate of the drug by PGx. When response rate is raised by only 5%, cost of a clinical trial can be reduced to about 40% of a conventional clinical trial. Furthermore, since period necessary for a trial also can be reduced, development period can be shortened by about 750 days. In summary, PGx enables earlier launch of a drug with less cost, representing benefit to pharmaceutical companies, patients and public as a whole.

Economic advantage of pharmacogenomics - clinical trials with genetic information.

The purpose of this study is to clarify the benefit and loss for the pharmaceutical companies when they adopt introducing pharmacogenomics in their clinical trials (in the following description, clinical trials by using pharmacogenomics is called "pgx clinical trial"), that is, when they use genetic information in their clinical trials. Particularly, the benefit for the pharmaceutical companies in terms of following two points is analyzed. 1. Development cost of new drug and period of clinical trial can be reduced because a clinical trial needs less subjects, 2. The new drug can be placed on the market earlier because the development period can be shortened. A survey conducted by Japan Pharmaceutical Manufacturers Association revealed that the pharmaceutical companies in Japan are interested in "pgx clinical trial". Specifically, 95% of the member companies (n=19) of the Association replied that the establishment of a guideline for pgx clinical trial by regulatory authorities are highly desirable. However, 65% of them (n=13) also replied that pgx clinical trial is difficult for the time being. It can be concluded that the pharmaceutical companies are positive about pgx clinical trial, but they cannot take a step towards it for several reasons: some of them may be worried their sales for non-responders will be reduced, poor understanding of pgx among the concerned parties, and not matured methodology of pgx clinical trial. This study shows that the advantage of pgx clinical trial outweighs its disadvantage. The sales may decrease because the drug is not used for non-responders, however, the number of subjects necessary for a clinical trial can be reduced, study period can be shortened and the drug can be marketed earlier. Furthermore, adverse events (AE) and adverse drug reactions (ADR) during the clinical trial and post-marketing phase can be markedly reduced. This represents a great benefit for the patients, pharmaceutical companies and the society as a whole.