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Featured researches published by Arjun Nair.


Chest | 2014

Effects of Ivacaftor in Patients With Cystic Fibrosis Who Carry the G551D Mutation and Have Severe Lung Disease

Peter J. Barry; B.J. Plant; Arjun Nair; Stephen Bicknell; N.J. Simmonds; Nicholas Bell; Nadia Shafi; Thomas V. Daniels; Susan Shelmerdine; Imogen Felton; Cedric Gunaratnam; A.M. Jones; Alex Horsley

BACKGROUNDnThe development of ivacaftor represents a significant advance in therapeutics for patients with cystic fibrosis (CF) who carry the G551D mutation. Patients with an FEV1 < 40% predicted represent a considerable proportion of eligible patients but were excluded from phase 3 clinical trials, and the effectiveness of the drug in this population is, therefore, unknown.nnnMETHODSnData were collected from adult CF centers in the United Kingdom and Ireland with patients enrolled in an ivacaftor compassionate use program (FEV1 < 40% or on lung transplant waiting list). Clinically recorded data were collated from patient records for 1 year prior and for a period of 90 to 270 days following ivacaftor commencement. Each patient was matched to two control subjects who would have met the requirements for the compassionate use program with the exception of genotype.nnnRESULTSnTwenty-one patients received ivacaftor for a median of 237 days. Mean FEV1 improved from 26.5% to 30.7% predicted (P = .01), representing a 16.7% relative improvement. Median weight improved from 49.8 to 51.6 kg (P = .006). Median inpatient IV antibiotic days declined from 23 to 0 d/y (P = .001) and median total IV treatment days decreased from 74 to 38 d/y (P = .002) following ivacaftor. Changes in pulmonary function and IV antibiotic requirements were significant compared with control subjects.nnnCONCLUSIONSnIvacaftor was clinically effective in patients with CF who carry the G551D mutation and have severe pulmonary disease. The reductions in treatment requirements were clinically and statistically significant and have not been described in less severe populations.


COPD: Journal of Chronic Obstructive Pulmonary Disease | 2015

The Impact of Homogeneous Versus Heterogeneous Emphysema on Dynamic Hyperinflation in Patients With Severe COPD Assessed for Lung Volume Reduction

Afroditi K. Boutou; Zaid Zoumot; Arjun Nair; Claire Davey; David M. Hansell; Athanasios Z. Jamurtas; Michael I. Polkey; Nicholas S. Hopkinson

Abstract Dynamic hyperinflation (DH) is a pathophysiologic hallmark of Chronic Obstructive Pulmonary Disease (COPD). The aim of this study was to investigate the impact of emphysema distribution on DH during a maximal cardiopulmonary exercise test (CPET) in patients with severe COPD. This was a retrospective analysis of prospectively collected data among severe COPD patients who underwent thoracic high-resolution computed tomography, full lung function measurements and maximal CPET with inspiratory manouvers as assessment for a lung volume reduction procedure. ΔIC was calculated by subtracting the end-exercise inspiratory capacity (eIC) from resting IC (rIC) and expressed as a percentage of rIC (ΔIC %). Emphysema quantification was conducted at 3 predefined levels using the syngo PULMO-CT (Siemens AG); a difference >25% between best and worse slice was defined as heterogeneous emphysema. Fifty patients with heterogeneous (62.7% male; 60.9 ± 7.5 years old; FEV1% = 32.4 ± 11.4) and 14 with homogeneous emphysema (61.5% male; 62.5 ± 5.9 years old; FEV1% = 28.1 ± 10.3) fulfilled the enrolment criteria. The groups were matched for all baseline variables. ΔIC% was significantly higher in homogeneous emphysema (39.8% ± 9.8% vs.31.2% ± 13%, p = 0.031), while no other CPET parameter differed between the groups. Upper lobe predominance of emphysema correlated positively with peak oxygen pulse, peak oxygen uptake and peak respiratory rate, and negatively with ΔIC%. Homogeneous emphysema is associated with more DH during maximum exercise in COPD patients.


PLOS ONE | 2014

A Combined Pulmonary Function and Emphysema Score Prognostic Index for Staging in Chronic Obstructive Pulmonary Disease

Afroditi K. Boutou; Arjun Nair; Dariush Douraghi-Zadeh; Ranbir Sandhu; David M. Hansell; Athol U. Wells; Michael I. Polkey; Nicholas S. Hopkinson

Introduction Chronic Obstructive Pulmonary Disease (COPD) is characterized by high morbidity and mortality. Lung computed tomography parameters, individually or as part of a composite index, may provide more prognostic information than pulmonary function tests alone. Aim To investigate the prognostic value of emphysema score and pulmonary artery measurements compared with lung function parameters in COPD and construct a prognostic index using a contingent staging approach. Material-Methods Predictors of mortality were assessed in COPD outpatients whose lung computed tomography, spirometry, lung volumes and gas transfer data were collected prospectively in a clinical database. Univariate and multivariate Cox proportional hazard analysis models with bootstrap techniques were used. Results 169 patients were included (59.8% male, 61.1 years old; Forced Expiratory Volume in 1 second % predicted: 40.5±19.2). 20.1% died; mean survival was 115.4 months. Age (HRu200a=u200a1.098, 95% Clu200a=u200a1.04–1.252) and emphysema score (HRu200a=u200a1.034, 95% CIu200a=u200a1.007–1.07) were the only independent predictors of mortality. Pulmonary artery dimensions were not associated with survival. An emphysema score of 55% was chosen as the optimal threshold and 30% and 65% as suboptimals. Where emphysema score was between 30% and 65% (intermediate risk) the optimal lung volume threshold, a functional residual capacity of 210% predicted, was applied. This contingent staging approach separated patients with an intermediate risk based on emphysema score alone into high risk (Functional Residual Capacity ≥210% predicted) or low risk (Functional Residual Capacity <210% predicted). This approach was more discriminatory for survival (HRu200a=u200a3.123; 95% CIu200a=u200a1.094–10.412) than either individual component alone. Conclusion Although to an extent limited by the small sample size, this preliminary study indicates that the composite Emphysema score-Functional Residual Capacity index might provide a better separation of high and low risk patients with COPD, than other individual predictors alone.


Archive | 2016

Details of the Liverpool Lung Project risk model (version 2)

John K Field; Stephen W. Duffy; David R Baldwin; Katherine Emma Brain; Anand Devaraj; Tim Eisen; Beverley A Green; John A Holemans; Terry Kavanagh; Keith M. Kerr; M.J. Ledson; Kate Joanna Lifford; Fiona E McRonald; Arjun Nair; Richard D. Page; Mahesh Parmar; Robert C Rintoul; Nicholas Screaton; Nicholas J. Wald; David Weller; David K. Whynes; Paula Williamson; Ghasem Yadegarfar; David M. Hansell


Archive | 2016

UK Lung Cancer Screening trial documentation

John K Field; Stephen W. Duffy; David R Baldwin; Katherine Emma Brain; Anand Devaraj; Tim Eisen; Beverley A Green; John A Holemans; Terry Kavanagh; Keith M. Kerr; M.J. Ledson; Kate Joanna Lifford; Fiona E McRonald; Arjun Nair; Richard D. Page; Mahesh Parmar; Robert C Rintoul; Nicholas Screaton; Nicholas J. Wald; David Weller; David K. Whynes; Paula Williamson; Ghasem Yadegarfar; David M. Hansell


Archive | 2016

Computed tomography scan findings and the early outcome of patients referred to the multidisciplinary team

John K Field; Stephen W. Duffy; David R Baldwin; Katherine Emma Brain; Anand Devaraj; Tim Eisen; Beverley A Green; John A Holemans; Terry Kavanagh; Keith M. Kerr; M.J. Ledson; Kate Joanna Lifford; Fiona E McRonald; Arjun Nair; Richard D. Page; Mahesh Parmar; Robert C Rintoul; Nicholas Screaton; Nicholas J. Wald; David Weller; David K. Whynes; Paula Williamson; Ghasem Yadegarfar; David M. Hansell


Archive | 2016

Trial randomisation method (outlined in Chapter 2)

John K Field; Stephen W. Duffy; David R Baldwin; Katherine Emma Brain; Anand Devaraj; Tim Eisen; Beverley A Green; John A Holemans; Terry Kavanagh; Keith M. Kerr; M.J. Ledson; Kate Joanna Lifford; Fiona E McRonald; Arjun Nair; Richard D. Page; Mahesh Parmar; Robert C Rintoul; Nicholas Screaton; Nicholas J. Wald; David Weller; David K. Whynes; Paula Williamson; Ghasem Yadegarfar; David M. Hansell


Archive | 2016

Radiological interventions and outcomes

John K Field; Stephen W. Duffy; David R Baldwin; Katherine Emma Brain; Anand Devaraj; Tim Eisen; Beverley A Green; John A Holemans; Terry Kavanagh; Keith M. Kerr; M.J. Ledson; Kate Joanna Lifford; Fiona E McRonald; Arjun Nair; Richard D. Page; Mahesh Parmar; Robert C Rintoul; Nicholas Screaton; Nicholas J. Wald; David Weller; David K. Whynes; Paula Williamson; Ghasem Yadegarfar; David M. Hansell


Archive | 2016

Summary report of UK Lung Cancer Screening sample quality control

John K Field; Stephen W. Duffy; David R Baldwin; Katherine Emma Brain; Anand Devaraj; Tim Eisen; Beverley A Green; John A Holemans; Terry Kavanagh; Keith M. Kerr; M.J. Ledson; Kate Joanna Lifford; Fiona E McRonald; Arjun Nair; Richard D. Page; Mahesh Parmar; Robert C Rintoul; Nicholas Screaton; Nicholas J. Wald; David Weller; David K. Whynes; Paula Williamson; Ghasem Yadegarfar; David M. Hansell


Archive | 2016

Data tables showing demographics of response and recruitment

John K Field; Stephen W. Duffy; David R Baldwin; Katherine Emma Brain; Anand Devaraj; Tim Eisen; Beverley A Green; John A Holemans; Terry Kavanagh; Keith M. Kerr; M.J. Ledson; Kate Joanna Lifford; Fiona E McRonald; Arjun Nair; Richard D. Page; Mahesh Parmar; Robert C Rintoul; Nicholas Screaton; Nicholas J. Wald; David Weller; David K. Whynes; Paula Williamson; Ghasem Yadegarfar; David M. Hansell

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David M. Hansell

National Institutes of Health

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David Weller

University of Edinburgh

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John A Holemans

Liverpool Heart and Chest Hospital NHS Trust

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