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2 results on '"FEV1%Pred"'

1. Non-fasting bioelectrical impedance analysis in cystic fibrosis: Implications for clinical practice and research

Author

E.A. van de Graaf, M. Burghard, N.M. de Roos, Harry G.M. Heijerman, Y. Lindeman, and F.M. Hollander-Kraaijeveld

Subjects
0301 basic medicine, Pulmonary and Respiratory Medicine, Adult, Male, medicine.medical_specialty, Nutrition and Disease, Nutritional Status, Gastroenterology, Cystic fibrosis, Body composition, FEV1%pred, Pulmonary function testing, Body Mass Index, Single frequency bioelectrical impedance analysis, 03 medical and health sciences, 0302 clinical medicine, Fat free mass, Internal medicine, Voeding en Ziekte, Linear regression, medicine, Electric Impedance, Humans, Correlation of Data, Non fasting, Netherlands, Anthropometry, business.industry, Fasting, medicine.disease, Respiratory Function Tests, Clinical Practice, 030104 developmental biology, Cross-Sectional Studies, 030228 respiratory system, Pediatrics, Perinatology and Child Health, Non-fasting, Female, business, Bioelectrical impedance analysis
Abstract

Background: Nutritional status affects pulmonary function in cystic fibrosis (CF) patients and can be monitored by using bioelectrical impedance analysis (BIA). BIA measurements are commonly performed in the fasting state, which is burdensome for patients. We investigated whether fasting is necessary for clinical practice and research. Methods: Fat free mass (FFM) and fat mass (FM) were determined in adult CF patients (n = 84) by whole body single frequency BIA (Bodystat 500) in a fasting and non-fasting state. Fasting and non-fasting BIA outcomes were compared with Bland-Altman plots. Pulmonary function was expressed as Forced Expiratory Volume at 1 s percentage predicted (FEV1%pred). Comparability of the associations between fasting and non-fasting body composition measurements with FEV1%pred was assessed by multiple linear regression. Results: Fasting FFM, its index (FFMI), and phase angle were significantly lower than non-fasting estimates (−0.23 kg, p = 0.006, −0.07 kg/m2, p = 0.002, −0.10°, p = 0.000, respectively). Fasting FM and its index (FMI) were significantly higher than non-fasting estimates (0.22 kg, p = 0.008) 0.32%, p = 0.005, and 0.07 kg/m2, (p = 0.005). Differences between fasting and non-fasting FFM and FM were

Published
2020

2. Baseline health status and setting impacted minimal clinically important differences in COPD: an exploratory study

Author

Danijel Jelusic, Michael Schuler, Harma Alma, Corina de Jong, Thys van der Molen, Boudewijn J. Kollen, Michael Wittmann, Robbert Sanderman, Janwillem W. H. Kocks, Konrad Schultz, Life Course Epidemiology (LCE), Clinical Psychology and Experimental Psychopathology, Health Psychology Research (HPR), Groningen Research Institute for Asthma and COPD (GRIAC), and Psychology, Health & Technology

Subjects
Receiver Operating Characteristics, Male, 3 weeks follow-up, Epidemiology, muscle, medicine.medical_treatment, retrospective study, UT-Hybrid-D, COPD Assessment Test (CAT), Minimal Clinically Important Difference, 3 months follow-up, MCID, PR, medical research, 0302 clinical medicine, Germany, ROC, 12 months follow-up, False Discovery Rate, COPD, IMT, Minimal clinically important difference, CAT, GRC, forced expiratory volume, Obstructive lung disease, clinical practice, Spirometry, medicine.medical_specialty, modified Medical Research Council dyspnea scale, Proportion of the variance of the dependent factor explained by independent factors, QoL, university hospital, 9 months follow-up, Global initiative for Obstructive Lung Disease, 03 medical and health sciences, Inter-Quartile Range, Humans, Pulmonary rehabilitation, GOLD, human, SD, Aged, Retrospective Studies, SGRQ, Clinical COPD Questionnaire (CCQ), dyspnea, medicine.disease, CCQ, major clinical study, University Medical Center Groningen, Clinical trial, quality of life, Standard Deviation, Confidence Interval, COPD Assessment Test, Inspiratory Muscle Training, 030217 neurology & neurosurgery, Health Status, Global Rating of Change scale, Forced Expiratory Volume in one second % Predicted, St. George Respiratory Questionnaire, Pulmonary Disease, Chronic Obstructive, Quality of life, gender, Pulmonary Rehabilitation, 030212 general & internal medicine, RIMTCORE, FEV1%Pred, 6 months follow-up, Netherlands, Randomized Controlled Trials as Topic, T0, R(2), receiver operating characteristic, T2, medicine.diagnostic_test, T1, Half Standard Deviation: AUC, IQR, article, CI, Minimal Clinically Important Difference (MCID), Middle Aged, T4, T3, humanities, T5, Area Under the Curve, comorbidity, Observational Studies as Topic, RCP, Treatment Outcome, 0.5SD, St. George’s Respiratory Questionnaire (SGRQ), Female, mMRC, Chronic Obstructive Pulmonary Disease, St. George's Respiratory Questionnaire (SGRQ), FDR, Baseline, medicine, follow up, controlled study, deterioration, correlation coefficient, Number of Patients, Intraclass Correlation Coefficient, business.industry, ICC, Routine Clinical Practice, questionnaire, Comorbidity, Clinical COPD Questionnaire, Physical therapy, Routine Inspiratory Muscle Training within COPD Rehabilitation, business, UMCG, chronic obstructive lung disease, Chronic Obstructive Pulmonary Disease (COPD)
Abstract

Objectives Minimal clinically important differences (MCIDs) are used as fixed numbers in the interpretation of clinical trials. Little is known about its dynamics. This study aims to explore the impact of baseline score, study setting, and patient characteristics on health status MCIDs in chronic obstructive pulmonary disease (COPD). Study Design and Setting Baseline and follow-up data on the COPD Assessment Test (CAT), Clinical COPD Questionnaire (CCQ), and St. George's Respiratory Questionnaire (SGRQ) were retrospectively analyzed from pulmonary rehabilitation (PR) and routine clinical practice (RCP). Anchor- and distribution-based MCID estimates were calculated and tested between settings, gender, age, Global initiative for Obstructive Lung Disease (GOLD) classification, comorbidities, and baseline health status. Results In total, 658 patients were included with 2,299 change score measurements. MCID estimates for improvement and deterioration ranged for all subgroups 0.50–6.30 (CAT), 0.10–0.84 (CCQ), and 0.33–12.86 (SGRQ). Larger MCID estimates for improvement and smaller ones for deterioration were noted in patients with worse baseline health status, females, elderly, GOLD I/II patients, and patients with less comorbidities. Estimates from PR were larger. Conclusion Baseline health status and setting affected MCID estimates of COPD health status questionnaires. Patterns were observed for gender, age, spirometry classification, and comorbidity levels. These outcomes would advocate the need for tailored MCIDs.

Published
2018

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