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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Clinical Algorithms for Maintaining Asthma Control

Sothirajah, Shobana January 2008 (has links)
Master of Science in Medicine / Rationale: Asthma management aims to achieve optimal control on the minimal effective dose of medication. We assessed the effectiveness of two algorithms to guide ICS dose in well-controlled patients on ICS+LABA in a double-blind study, comparing dose adjustment guided by exhaled nitric oxide (eNO) to clinical care algorithm(CCA) based on symptoms and lung function. Methods: We randomised non-smoking adult asthmatics on minimum FP dose 100μgs daily +LABA to ICS adjustment using eNO or CCA, assessed over 5 visits during 8 months treatment. Primary endpoints were asthma-free days and asthma related quality of life (QOL). Analysis was by mixed model regression and generalised estimating equations with log link. Results: 69 subjects were randomised (eNO:34, CCA:35) and 58 completed the study. At baseline mean FEV1 was 94% pred., mean eNO (200ml/sec) 7.1 ppb, median ACQ6 score 0.33. Median ICS dose was 500 μg (IQR 100-500) at baseline and 100 μg on both eNO (IQR 100-200) and CCA arms (IQR 100–100) at end of study. There were no significant differences between eNO and CCA groups in asthma-free days (RR=0.92, 95% CI 0.8–1.01), AQL (RRAQL<median = 0.95, 95% CI 0.8–1.1) or exacerbation-free days (HR = 1.03, 95%CI 0.6–1.7). Neither clinic FEV1 (overall mean difference FEV1 % pred. -0.24%, 95% CI -2.2–1.7) nor a.m. PEF (mean difference 1.94 L/min (95% CI -2.9–6.8) were significantly different. Similar proportions of subjects were treated for ≥1 exacerbation (eNO: 50%, 95% CI 32.1–67.9; CCA: 60%, 95% CI 43.9–76.2). Conclusion: Substantial reductions in ICS doses were achieved in well controlled asthmatics on ICS+LABA, with no significant differences in outcomes between eNO or clinically based algorithms.
2

Clinical Algorithms for Maintaining Asthma Control

Sothirajah, Shobana January 2008 (has links)
Master of Science in Medicine / Rationale: Asthma management aims to achieve optimal control on the minimal effective dose of medication. We assessed the effectiveness of two algorithms to guide ICS dose in well-controlled patients on ICS+LABA in a double-blind study, comparing dose adjustment guided by exhaled nitric oxide (eNO) to clinical care algorithm(CCA) based on symptoms and lung function. Methods: We randomised non-smoking adult asthmatics on minimum FP dose 100μgs daily +LABA to ICS adjustment using eNO or CCA, assessed over 5 visits during 8 months treatment. Primary endpoints were asthma-free days and asthma related quality of life (QOL). Analysis was by mixed model regression and generalised estimating equations with log link. Results: 69 subjects were randomised (eNO:34, CCA:35) and 58 completed the study. At baseline mean FEV1 was 94% pred., mean eNO (200ml/sec) 7.1 ppb, median ACQ6 score 0.33. Median ICS dose was 500 μg (IQR 100-500) at baseline and 100 μg on both eNO (IQR 100-200) and CCA arms (IQR 100–100) at end of study. There were no significant differences between eNO and CCA groups in asthma-free days (RR=0.92, 95% CI 0.8–1.01), AQL (RRAQL<median = 0.95, 95% CI 0.8–1.1) or exacerbation-free days (HR = 1.03, 95%CI 0.6–1.7). Neither clinic FEV1 (overall mean difference FEV1 % pred. -0.24%, 95% CI -2.2–1.7) nor a.m. PEF (mean difference 1.94 L/min (95% CI -2.9–6.8) were significantly different. Similar proportions of subjects were treated for ≥1 exacerbation (eNO: 50%, 95% CI 32.1–67.9; CCA: 60%, 95% CI 43.9–76.2). Conclusion: Substantial reductions in ICS doses were achieved in well controlled asthmatics on ICS+LABA, with no significant differences in outcomes between eNO or clinically based algorithms.

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