AimsTo validate the European Heart Rhythm Association (EHRA) symptom classification in atrial fibrillation (AF) and test whether its discriminative ability could be improved by a simple modification.Methods and resultsWe compared the EHRA classification with three quality of life (QoL) measures: the AF-specific Atrial Fibrillation Effect on QualiTy-of-life (AFEQT) questionnaire; two components of the EQ-5D instrument, a health-related utility which can be used to calculate cost-effectiveness, and the visual analogue scale (VAS) which demonstrates patients' own assessment of health status. We then proposed a simple modification [modified EHRA (mEHRA)] to improve discrimination at the point where major treatment decisions are made. quality of life data and clinician-allocated EHRA class were prospectively collected on 362 patients with AF. A step-wise, negative association was seen between the EHRA class and both the AFEQT and the VAS scores. Health-related utility was only significantly different between Classes 2 and 3 (P < 0.001). We developed and validated the mEHRA score separating Class 2 (symptomatic AF not limiting daily activities), based on whether the patients were ‘troubled by their AF’ (Class 2b) or not (Class 2a). This produced two distinct groups with lower AFEQT and VAS scores and, importantly, both clinically and statistically significant lower health utility (Δutility 0.9, P = 0.01) in Class 2b than Class 2a.ConclusionBased on patients' own assessment of their health status and the disease-specific AFEQT, the EHRA score can be considered a useful semi-quantitative classification. The mEHRA score has a clearer separation in health utility to assess the cost efficacy of interventions such as ablation, where Class 2b symptoms appear to be the appropriate treatment threshold.

EuroSCORE II improves on the original logistic EuroSCORE, though mainly for combined AVR and CABG cases. Concerns still exist, however, over its use for isolated AVR procedures, aortic surgery and miscellaneous procedures. There is still room for improvement in risk modelling.

RDW is a significant factor after risk adjustment, determining in-hospital morbidity, mortality and long-term survival in patients post-potentially curative resections for non-small-cell lung cancer. Further work is needed to elucidate the exact mechanism of RDW impact on in-hospital morbidity, mortality and long-term survival. We speculate that subtle bone marrow dysfunction may be an issue.

Unlike in breast cancer, a high BMI in lung cancer patients after resection has protective effects. This may be due to the better nutritional status of the patient, a less aggressive cancer type that has not resulted in weight loss at the time of presentation or it may be due to certain hormones released from the adipose tissue. BMI can be a predictor of outcome after lung resection in cancer patients.

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INTRODUCTIONProlonged air leak (PAL) is the most common complication after partial lung resection and the most important determinant of length of hospital stay for patients post-operatively. The aim of this study was to determine the risk factors involved in developing air leaks and the consequences of PAL.METHODSAll patients undergoing lung resection between January 2002 and December 2007 in our hospital were studied retrospectively. Univariate analysis to predict risk factors for developing post-operative air leaks included patient demographics, smoking status, pulmonary function tests, disease aetiology (benign, malignant), neoadjuvant therapy (pre-operative radiotherapy/chemotherapy), extent and type of resection, and different consultant surgeons’ practice. A logistic regression model was used for multivariate analysis.RESULTSA total of 1,911 lung resections were performed over the 6-year study period. An air leak lasting more than 6 days post-operatively was present in 129 patients (6.7%). This included 100 out of the 1,250 patients (8%) from the lobectomy group and 29 out of the 661 patients (4.4%) from the wedge/segmentectomy group. Using the multivariate analysis, the risk factors for developing an air leak included a low predicted forced expiratory volume in 1 second (pFEV1) (p<0.001), performing an upper lobectomy (p=0.002) and different consultant practice (p=0.02). PAL was associated with increased length of stay (p<0.0001), in-hospital mortality (p=0.003) and intensive care unit readmission (p=0.05).CONCLUSIONSAir leaks after pulmonary resections were at an acceptable rate in our series. Particular patients are at a higher risk but meticulous surgical technique is vital in reducing their incidence. Our study shows that pFEV1is the strongest predictor of post-operative air leaks.

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The RDW is a significant factor determining in-hospital mortality and long-term survival in patients undergoing isolated CABG. The mechanism of association requires further study.