Incomplete quality of life data in lung transplant research: comparing cross sectional, repeated measures ANOVA, and multi-level analysis

BACKGROUND: In longitudinal studies on Health Related Quality of Life (HRQL) it frequently occurs that patients have one or more missing forms, which may cause bias, and reduce the sample size. Aims of the present study were to address the problem of missing data in the field of lung transplantation (LgTX) and HRQL, to compare results obtained with different methods of analysis, and to show the value of each type of statistical method used to summarize data. METHODS: Results from cross-sectional analysis, repeated measures on complete cases (ANOVA), and a multi-level analysis were compared. The scores on the dimension 'energy' of the Nottingham Health Profile (NHP) after transplantation were used to illustrate the differences between methods. RESULTS: Compared to repeated measures ANOVA, the cross-sectional and multi-level analysis included more patients, and allowed for a longer period of follow-up. In contrast to the cross sectional analyses, in the complete case analysis, and the multi-level analysis, the correlation between different time points was taken into account. Patterns over time of the three methods were comparable. In general, results from repeated measures ANOVA showed the most favorable energy scores, and results from the multi-level analysis the least favorable. Due to the separate subgroups per time point in the cross-sectional analysis, and the relatively small number of patients in the repeated measures ANOVA, inclusion of predictors was only possible in the multi-level analysis. CONCLUSION: Results obtained with the various methods of analysis differed, indicating some reduction of bias took place. Multi-level analysis is a useful approach to study changes over time in a data set where missing data, to reduce bias, make efficient use of available data, and to include predictors, in studies concerning the effects of LgTX on HRQL

Recruitment failure and futility were the most common reasons for discontinuation of clinical drug trials. Results of a nationwide inception cohort study in the Netherlands

Objectives The objective of the study was to identify the reasons for discontinuation of clinical drug trials and to evaluate whether efficacy-related discontinuations were adequately planned in the trial protocol. Study Design and Setting All clinical drug trials in the Netherlands, reviewed by institutional review boards in 2007, were followed until December 2015. Data were obtained through the database of the Dutch competent authority (Central Committee on Research Involving Human Subjects [CCMO]) and a questionnaire to the principal investigators. Reasons for trial discontinuation were the primary outcome of the study. Three reasons for discontinuation were analyzed separately: all cause, recruitment failure, and efficacy related (when an interim analysis had demonstrated futility or superiority). Among the efficacy-related discontinuations, we examined whether the data monitoring committee, the stopping rule, and the moment of the interim analysis in the trial progress were specified in the trial protocol. Results Of the 574 trials, 102 (17.8%) were discontinued. The most common reasons were recruitment failure (33 of 574; 5.7%) and solely efficacy related (30 of 574; 5.2%). Of the efficacy-related discontinuations, 10 of 30 (33.3%) of the trial protocols reported all three aspects in the trial protocol, and 20 of 30 (66.7%) reported at least one aspect in the trial protocol. Conclusion One out of five clinical drug trials is discontinued before the planned trial end, with recruitment failure and futility as the most common reasons. The target sample size of trials should be feasible, and interim analyses should be adequately described in trial protocols

Change in inflammation in out-patient COPD patients from stable phase to a subsequent exacerbation

BACKGROUND: Inflammation increases during exacerbations of COPD, but only a few studies systematically assessed these changes. Better identification of these changes will increase our knowledge and potentially guide therapy, for instance by helping with quicker distinction of bacterially induced exacerbations from other causes. AIM: To identify which inflammatory parameters increase during COPD exacerbations compared to stable disease, and to compare bacterial and non-bacterial exacerbations. METHODS: In 45 COPD patients (37 male/8 female, 21 current smokers, mean age 65, FEV(1) 52% predicted, pack years 38) sputum was collected during a stable phase and subsequently during an exacerbation. RESULTS: Sputum total cell counts (9.0 versus 7.9 x 10(6)/mL), eosinophils (0.3 versus 0.2 x 10(6)/mL), neutrophils (6.1 versus 5.8 x 10(6)/mL), and lymphocytes (0.07 versus 0.02 x 10(6)/mL) increased significantly during an exacerbation compared to stable disease. A bacterial infection was demonstrated by culture in 8 sputum samples obtained during an exacerbation. These exacerbations had significantly increased sputum total cell and neutrophil counts, leukotriene-B4, myeloperoxidase, interleukin-8 and interleukin-6, and tumor necrosis factor-alpha (TNF-alpha) levels, and were also associated with more systemic inflammation compared to exacerbations without a bacterial infection. Sputum TNF-alpha level during an exacerbation had the best test characteristics to predict a bacterial infection. CONCLUSION: Sputum eosinophil, neutrophil, and lymphocyte counts increase during COPD exacerbations. The increase in systemic inflammation during exacerbations seems to be limited to exacerbations caused by bacterial infections of the lower airways. Sputum TNF-alpha is a candidate marker for predicting airway bacterial infection

Airway responsiveness to adenosine 5'-monophosphate in chronic obstructive pulmonary disease is determined by smoking

In contrast to methacholine, a stimulus that induces airway constriction mainly by ''direct'' stimulation of airway smooth muscle cells, AMP airway responsiveness reflects ''indirectly'' induced airway narrowing via inflammatory or neural reflex mechanisms. In order to determine inflammatory contribution to airway narrowing in COPD, we performed AMP and methacholine inhalation provocation tests in nonatopic subjects with COPD and compared the results with those obtained from atopic nonsmoking asthmatics and from healthy smoking volunteers. AMP caused airway narrowing in all but two subjects with COPD and in only three of the 12 healthy smoking subjects. Patients with COPD were significantly more responsive to AMP and methacholine than were healthy smoking volunteers. Geometric mean PC20 AMP was significantly lower in the smokers with COPD (7.2 mg/ml) than in the nonsmokers with COPD (58.5 mg/ml), whereas PC20 methacholine values and baseline FEV1 were comparable. In the nonatopic nonsmoking subjects with COPD, PC20 AMP was significantly higher than in the atopic nonsmoking asthmatics (3.8 mg/ml), whereas they responded similar to methacholine provocation. These results indicate that most subjects with COPD respond to AMP provocation and that smoking determines the degree of airway responsiveness to AMP in COPD. We suggest that increased susceptibility to mediator release by mast cells or neural reflex mechanisms are involved in AMP-induced airway constriction in asthma and in COPD