24 research outputs found

    Atomic co-ordinates for yeast phenylalanine tRNA

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    Atomic coordinates are presented for yeast tRNA(Phe) derived from a wire skeletal model fitted to an electron density map at 2.5 Ă… resolution obtained by isomorphous replacement

    Evidence-based detection of pulmonary arterial hypertension in systemic sclerosis: the DETECT study

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    Contains fulltext : 137979.pdf (publisher's version ) (Open Access)OBJECTIVE: Earlier detection of pulmonary arterial hypertension (PAH), a leading cause of death in systemic sclerosis (SSc), facilitates earlier treatment. The objective of this study was to develop the first evidence-based detection algorithm for PAH in SSc. METHODS: In this cross-sectional, international study conducted in 62 experienced centres from North America, Europe and Asia, adults with SSc at increased risk of PAH (SSc for >3 years and predicted pulmonary diffusing capacity for carbon monoxide <60%) underwent a broad panel of non-invasive assessments followed by diagnostic right heart catheterisation (RHC). Univariable and multivariable analyses selected the best discriminatory variables for identifying PAH. After assessment for clinical plausibility and feasibility, these were incorporated into a two-step, internally validated detection algorithm. Nomograms for clinical practice use were developed. RESULTS: Of 466 SSc patients at increased risk of PAH, 87 (19%) had RHC-confirmed PAH. PAH was mild (64% in WHO functional class I/II). Six simple assessments in Step 1 of the algorithm determined referral to echocardiography. In Step 2, the Step 1 prediction score and two echocardiographic variables determined referral to RHC. The DETECT algorithm recommended RHC in 62% of patients (referral rate) and missed 4% of PAH patients (false negatives). By comparison, applying European Society of Cardiology/European Respiratory Society guidelines to these patients, 29% of diagnoses were missed while requiring an RHC referral rate of 40%. CONCLUSIONS: The novel, evidence-based DETECT algorithm for PAH detection in SSc is a sensitive, non-invasive tool which minimises missed diagnoses, identifies milder disease and addresses resource usage

    Health-related quality of life in patients with mixed connective tissue diseases: a comparison with matched systemic sclerosis patients

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    Objective. Health-Related Quality of Life (HRQoL) in adult patients with mixed connective tissue disease (MCTD) has not been described so far. Therefore, we performed an explorative study to evaluate HRQoL in MCTD patients.Methods. MCTD patients fulfilling the Kahn criteria and participating in the prospective follow-up cohort for MCTD of the Leiden University Medical Center were included; and matched to systemic sclerosis (SSc) patients based on age, sex and disease duration. Data on disease characteristics and HRQoL (SF36 and EQ-5D) were collected annually. HRQoL was compared between MCTD and SSc patients at baseline. Factors associated with HRQoL in MCTD were identified using linear regression and change in HRQoL over 3 years using linear mixed models.Results. Thirty-four MCTD patients (121 visits) and 102 SSc patients (424 visits) were included. At baseline, MCTD patients presented with interstitial lung disease, cardiac involvement, synovitis and myositis more frequently compared to SSc patients, while use of immunosuppressive medication was less frequent. In both groups, mean SF36 scores were lower than in the general Dutch population. The SF36 subscore "general health perception" was impacted most in both groups (MCTD: 38.5 [SD:7.0], SSc: 39.9 [SD:8.9]). During follow-up, SF36 scores improved in MCTD patients, while EQ5DNL remained stable. No specific characteristics were identified that associated with baseline HRQoL or change in HRQol over time.Conclusion. Like in SSc, HRQoL in MCTD is significantly impaired, especially the general health perception of patients. Evaluation in larger prospective cohorts is needed to identify characteristics that impact HRQol most.Pathophysiology and treatment of rheumatic disease
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