Validation of a Supportive and Palliative Care Indicator Tool Among Patients Hospitalized Due to Heart Failure.

BACKGROUND: Palliative care, including symptom alleviation and advance-care planning, is relevant for patients with heart failure (HF). The Supportive and Palliative Care Indicator Tool (SPICT) is a tool for identifying patients who may benefit from palliative-care assistance but has not been validated in patients hospitalized due to HF. METHODS AND RESULTS: Clinical backgrounds, symptom burdens and outcomes were evaluated using the SPICT as assessed on admission in consecutive hospitalized patients with HF. SPICT-positive was defined when 2 or more general indicators and a New York Heart Association class ≥ III were present. Of 601 patients hospitalized due to HF (mean age: 79 ± 12 years; male, 314 [52%]; and mean left ventricular ejection fraction: 44 ± 18%), 100 (17%) patients were SPICT-positive. SPICT-positive patients were older (85 ± 9 vs 78 ± 12 years; P < 0.001) and had higher clinical frailty scales (6 ± 1 vs 4 ± 1 points; P < 0.001), whereas symptom burdens assessed by the Integrated Palliative care Outcome Scale were not different (17 [13, 28] vs 20 [11, 26] points; P = 0.97) when compared with patients who were SPICT-negative. During the median follow-up period of 518 days, 178 patients (30%) died. Being SPICT-positive was independently associated with higher all-cause mortality (hazard ratio: 3.49, 95% confidence interval: 2.41-5.05; P < 0.001) after adjusting for age, sex, New York Heart Association class IV, Get-With-The-Guideline risk score, N-terminal pro B-type natriuretic peptide levels, and left ventricular ejection fractions. CONCLUSIONS: In patients admitted for HF, being SPICT-positive was significantly associated with higher all-cause mortality rates, suggesting the utility of the SPICT as an indicator to initiate advance-care planning for end-of-life care among patients hospitalized due to HF.

Disease-specific variant interpretation highlighted the genetic findings in 2325 Japanese patients with retinitis pigmentosa and allied diseases.

BACKGROUND: As gene-specific therapy for inherited retinal dystrophy (IRD) advances, unified variant interpretation across institutes is becoming increasingly important. This study aims to update the genetic findings of 86 retinitis pigmentosa (RP)-related genes in a large number of Japanese patients with RP by applying the standardised variant interpretation guidelines for Japanese patients with IRD (J-IRD-VI guidelines) built upon the American College of Medical Genetics and Genomics and the Association for Molecular Pathology rules, and assess the contribution of these genes in RP-allied diseases. METHODS: We assessed 2325 probands with RP (n=2155, including n=1204 sequenced previously with the same sequencing panel) and allied diseases (n=170, newly analysed), including Usher syndrome, Leber congenital amaurosis and cone-rod dystrophy (CRD). Target sequencing using a panel of 86 genes was performed. The variants were interpreted according to the J-IRD-VI guidelines. RESULTS: A total of 3564 variants were detected, of which 524 variants were interpreted as pathogenic or likely pathogenic. Among these 524 variants, 280 (53.4%) had been either undetected or interpreted as variants of unknown significance or benign variants in our earlier study of 1204 patients with RP. This led to a genetic diagnostic rate in 38.6% of patients with RP, with EYS accounting for 46.7% of the genetically solved patients, showing a 9% increase in diagnostic rate from our earlier study. The genetic diagnostic rate for patients with CRD was 28.2%, with RP-related genes significantly contributing over other allied diseases. CONCLUSION: A large-scale genetic analysis using the J-IRD-VI guidelines highlighted the population-specific genetic findings for Japanese patients with IRD; these findings serve as a foundation for the clinical application of gene-specific therapies.

A rapid and simple transcriptional sequencing method for GC-rich DNA regions.

In genome sequencing project, we encounter the DNA regions that often contain stable secondary structure with high GC content. These regions are difficult to not only amplify by PCR for template preparations, but also determine the DNA sequences using standard Cycle sequencing (CS) method. Transcriptional sequencing (TS) is a unique DNA sequencing method using RNA polymerase, and is based on the principles of the chain-termination method, which is a powerful method to analyze GC-rich sequences. In this study, we examined the multiple displacement amplification (MDA) to overcome low efficiency of PCR amplification in GC-rich regions and subjected to TS reaction. Combination of MDA and TS (MDA-TS) was extremely successful with GC content ranging from 65% to 85%, which are difficult to analyze with PCR and CS. We also report plasmid vector, pTS1, which has the stronger T7 and T3 promoters than those of conventional vectors, and the sequence that decreases transcriptional efficiency was removed from its multiple cloning sites. pTS 1 resulted in the improved sequencing accuracy and reduced reaction time up to 5 min. These results showed that MDA-TS is a rapid and accurate method for the analysis of GC-rich templates.