ABSTRACT
BACKGROUND: Asthma and chronic rhinosinusitis (CRS) both impair quality of life, but the quality-of-life impact of comorbid asthma and CRS is poorly known. The aim of this study was to evaluate the impact of CRS and other relevant factors on quality of life in asthmatic subjects. METHODS: This Swedish cohort (age 17-76 years) consists of 605 well-characterized asthmatics with and without CRS, 110 individuals with CRS only, and 226 controls and is part of the Global Allergy and Asthma European Network (GA(2) LEN) survey. The Mini Asthma Quality of Life Questionnaire (mAQLQ), the Euro Quality of Life (EQ-5D) health questionnaire, spirometry, skin prick test (SPT), exhaled nitric oxide (FeNO), smell test, and peak nasal inspiratory flow were used. RESULTS: Subjects having both asthma and CRS have lower mAQLQ scores in all domains (P < 0.001) and a lower EQ-5D index value and EQ-5D VAS value (P < 0.001) compared to those with asthma only. Asthmatics with CRS have significantly lower FEV1%pred and FVC%pred (88.4 [85.1-91.7] and 99.9 [96.7-103.0], respectively) compared with asthma only (91.9 [90.3-93.4] and 104.0 [102.5-105.5], respectively P < 0.05). Multiple regression analysis shows that low asthma quality of life is associated with having CRS (P < 0.0001), lower lung function (P = 0.008), current smoking (P = 0.01), BMI > 30 kg/m2 (P = 0.04), high age (P = 0.03), and a negative SPT (P = 0.04). CONCLUSIONS: Comorbid CRS was a significant and independent negative predictor of quality of life in asthmatics. Other negative factors were lower lung function, current smoking, obesity, advanced age, and having nonatopic asthma.
Subject(s)
Asthma/complications , Asthma/epidemiology , Quality of Life , Rhinitis/complications , Sinusitis/complications , Adolescent , Adult , Aged , Female , Health Surveys , Humans , Male , Middle Aged , Prognosis , Respiratory Function Tests , Risk Factors , Skin Tests , Surveys and Questionnaires , Sweden/epidemiology , Young AdultABSTRACT
BACKGROUND: High-throughput technologies such as microarray have enhanced the discovery of new biomarkers in prostate cancer. However, the reliability of transcriptome analyses is limited by the RNA quality. OBJECTIVE: Identification of variables influencing the RNA quality in radical prostatectomy specimens. MATERIAL AND METHODS: RNA was extracted using an automatic extraction method for 354 samples from 38 fresh frozen prostate slices, and by manual extraction for 28 samples from 5 slices. RNA quality was measured using the RIN method (RNA Integrity Number). Evaluation of tissue composition was performed by light-microscopy for each sample. Age, total operative time, estimated blood loss, prostate volume, prostate specific antigen (s-PSA) and postoperative Gleason score were registered. The independent variables were correlated to the RIN score in a multiple linear regression model, taking p < 0.05 as the significance limit. RESULTS: The amount of blood loss during prostatectomy and the amount of stroma in the tissue sample both correlated negatively with the RIN score (p = 0.03 and 0.02). Automatically extracted samples which were exposed to heat according to the RNA extraction protocol, had lower mean RNA quality (5.5, 1.46 SD) than manually extracted samples, not exposed to heat (8.7, 0.86 SD), suggesting degradation by temperature sensitive RNases, mainly residing in the stroma. CONCLUSION: The highest RNA quality isolated by an automatic method from fresh frozen prostate tissue is obtained from patients with low peroperative blood loss and from samples with a low stromal fraction.
