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Dive into the research topics where Sanja Stanojevic is active.

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Featured researches published by Sanja Stanojevic.


European Respiratory Journal | 2012

Multi-ethnic reference values for spirometry for the 3-95-yr age range: The global lung function 2012 equations

Philip H. Quanjer; Sanja Stanojevic; T. J. Cole; Xaver Baur; Graham L. Hall; Bruce H. Culver; Paul L. Enright; John L. Hankinson; Mary S.M. Ip; Jinping Zheng; Janet Stocks

The aim of the Task Force was to derive continuous prediction equations and their lower limits of normal for spirometric indices, which are applicable globally. Over 160,000 data points from 72 centres in 33 countries were shared with the European Respiratory Society Global Lung Function Initiative. Eliminating data that could not be used (mostly missing ethnic group, some outliers) left 97,759 records of healthy nonsmokers (55.3% females) aged 2.5–95 yrs. Lung function data were collated and prediction equations derived using the LMS method, which allows simultaneous modelling of the mean (mu), the coefficient of variation (sigma) and skewness (lambda) of a distribution family. After discarding 23,572 records, mostly because they could not be combined with other ethnic or geographic groups, reference equations were derived for healthy individuals aged 3–95 yrs for Caucasians (n=57,395), African–Americans (n=3,545), and North (n=4,992) and South East Asians (n=8,255). Forced expiratory value in 1 s (FEV1) and forced vital capacity (FVC) between ethnic groups differed proportionally from that in Caucasians, such that FEV1/FVC remained virtually independent of ethnic group. For individuals not represented by these four groups, or of mixed ethnic origins, a composite equation taken as the average of the above equations is provided to facilitate interpretation until a more appropriate solution is developed. Spirometric prediction equations for the 3–95-age range are now available that include appropriate age-dependent lower limits of normal. They can be applied globally to different ethnic groups. Additional data from the Indian subcontinent and Arabic, Polynesian and Latin American countries, as well as Africa will further improve these equations in the future.


BMC Public Health | 2012

Global asthma prevalence in adults: findings from the cross-sectional world health survey

Teresa To; Sanja Stanojevic; Ginette Moores; Andrea S. Gershon; Eric D. Bateman; Alvaro A. Cruz; Louis-Philippe Boulet

BackgroundAsthma is a major cause of disability, health resource utilization and poor quality of life world-wide. We set out to generate estimates of the global burden of asthma in adults, which may inform the development of strategies to address this common disease.MethodsThe World Health Survey (WHS) was developed and implemented by the World Health Organization in 2002-2003. A total of 178,215 individuals from 70 countries aged 18 to 45 years responded to questions related to asthma and related symptoms. The prevalence of asthma was based on responses to questions relating to self-reported doctor diagnosed asthma, clinical/treated asthma, and wheezing in the last 12 months.ResultsThe global prevalence rates of doctor diagnosed asthma, clinical/treated asthma and wheezing in adults were 4.3%, 4.5%, and 8.6% respectively, and varied by as much as 21-fold amongst the 70 countries. Australia reported the highest rate of doctor diagnosed, clinical/treated asthma, and wheezing (21.0%, 21.5%, and 27.4%). Amongst those with clinical/treated asthma, almost 24% were current smokers, half reported wheezing, and 20% had never been treated for asthma.ConclusionsThis study provides a global estimate of the burden of asthma in adults, and suggests that asthma continues to be a major public health concern worldwide. The high prevalence of smoking remains a major barrier to combating the global burden of asthma. While the highest prevalence rates were observed in resource-rich countries, resource-poor nations were also significantly affected, posing a barrier to development as it stretches further the demands of non-communicable diseases.


American Journal of Respiratory and Critical Care Medicine | 2009

Spirometry centile charts for young Caucasian children: The asthma UK collaborative initiative

Sanja Stanojevic; Angie Wade; T. J. Cole; Sooky Lum; Adnan Custovic; Michael Silverman; Graham L. Hall; Liam Welsh; Jane Kirkby; Wenche Nystad; Monique Badier; Stephanie D. Davis; S Turner; Pavilio Piccioni; Daphna Vilozni; Howard Eigen; Helen Vlachos-Mayer; Jinping Zheng; Waldemar Tomalak; Marcus H. Jones; John L. Hankinson; Janet Stocks

RATIONALE Advances in spirometry measurement techniques have made it possible to obtain measurements in children as young as 3 years of age; however, in practice, application remains limited by the lack of appropriate reference data for young children, which are often based on limited population-specific samples. OBJECTIVES We aimed to build on previous models by collating existing reference data in young children (aged 3-7 yr), to produce updated prediction equations that span the preschool years and that are also linked to established reference equations for older children and adults. METHODS The Asthma UK Collaborative Initiative was established to collate lung function data from healthy young children aged 3 to 7 years. Collaborators included researchers with access to pulmonary function test data in healthy preschool children. Spirometry centiles were created using the LMS (lambda, micro, sigma) method and extend previously published equations down to 3 years of age. MEASUREMENTS AND MAIN RESULTS The Asthma UK centile charts for spirometry are based on the largest sample of healthy young Caucasian children aged 3-7 years (n = 3,777) from 15 centers across 11 countries and provide a continuous reference with a smooth transition into adolescence and adulthood. These equations improve existing pediatric equations by considering the between-subject variability to define a more appropriate age-dependent lower limit of normal. The collated data set reflects a variety of equipment, measurement protocols, and population characteristics and may be generalizable across different populations. CONCLUSIONS We present prediction equations for spirometry for preschool children and provide a foundation that will facilitate continued updating.


European Respiratory Journal | 2010

Reference values for lung function: past, present and future

Sanja Stanojevic; Angie Wade; Janet Stocks

Reliable interpretation of pulmonary function results relies on the availability of appropriate reference data to help distinguish between health and disease and to assess the severity and nature of any functional impairment. The overwhelming number of published reference equations, with at least 15 published for spirometry alone in the past 3 yrs, complicates the selection of an appropriate reference. The use of inappropriate reference equations and misinterpretation, even when potentially appropriate equations are used, can lead to serious errors in both under and over diagnosis, with its associated burden in terms of financial and human costs. Further misdiagnosis occurs when fixed cut-offs, such as 80% predicted forced expiratory volume in 1 s (FEV1) or 0.70 FEV1/forced vital capacity, are used; particularly in young children and elderly adults. While per cent predicted has historically been used to interpret lung function results, z-scores are more appropriate as they take into account the predicted value, as well as the between-subject variability of measurements. We aim to highlight some of the main issues in selecting and using reference equations and discuss how recent developments may improve interpretation of pulmonary function results.


American Journal of Respiratory and Critical Care Medicine | 2011

Lung clearance index at 4 years predicts subsequent lung function in children with cystic fibrosis.

Paul Aurora; Sanja Stanojevic; Angie Wade; Cara Oliver; Wanda Kozlowska; Sooky Lum; Andrew Bush; Jack F. Price; Siobhán B. Carr; Anu Shankar; Janet Stocks

RATIONALE The markedly improved life expectancy of children with cystic fibrosis (CF) has created a new challenge, as traditional markers of lung disease are frequently normal in young children. This prevents identification of individuals who may benefit from more aggressive therapy and also obliges large study numbers and prolonged duration for intervention studies. There is an urgent need for alternative surrogates that detect early lung disease and track through early childhood. OBJECTIVES This study aimed to determine whether multiple-breath washout (MBW) results at preschool age can predict subsequent abnormal lung function. METHODS Preschool children (3-5 yr) with CF and healthy control subjects underwent spirometry and MBW with testing repeated during early school age (6-10 yr). Primary outcomes were FEV1 from spirometry and lung clearance index (LCI) from MBW. MEASUREMENTS AND MAIN RESULTS Forty-eight children with CF and 45 healthy children completed testing. Thirty-five (73%) children with CF had abnormal LCI at preschool age, whereas only five had abnormal FEV1. The positive predictive value of preschool LCI for predicting any abnormal school-age result was 94%, with a negative predictive value of 62%. Only one child with abnormal FEV1 at school age had had a normal preschool LCI. In contrast, for preschool FEV1 the positive predictive value was 100%, but negative predictive value was only 25%. CONCLUSIONS This study demonstrates that an abnormal preschool LCI predicts subsequent lung function abnormalities, whereas a normal preschool LCI usually remains normal. MBW has potential as a clinical and research outcome in young children with CF.


Thorax | 2011

Lung Clearance Index and HRCT are complementary markers of lung abnormalities in young children with CF

Catherine M. Owens; Paul Aurora; Sanja Stanojevic; Andrew Bush; Angie Wade; C Oliver; Alistair Calder; John Price; Siobhán B. Carr; Anu Shankar; Janet Stocks

Rationale High resolution computed tomography (HRCT) is a more sensitive tool for detecting early cystic fibrosis (CF) lung disease than either spirometry or plain radiography, but its relationship to other measures of lung function has not been established in young children. Objectives 1) To assess whether the lung clearance index (LCI) derived from multiple breath inert-gas washout (MBW) is as effective as HRCT in identifying pulmonary abnormalities; and 2) explore the relationships between abnormalities detected by HRCT and by spirometry, plethysmography and MBW (collectively, LFTs) in young children with CF. Methods Children with CF underwent LFTs and volumetric HRCT on the same day. Healthy age-matched controls underwent identical LFTs without HRCT. Scans were anonymised, and scored using the Brody-II CT scoring system, to assess for presence and extent of bronchiectasis, airway wall thickening, mucus plugging, and parenchymal opacities. Results Assessments were undertaken in 60 children with CF (mean (SD) 7.8 (1.3) years) and 54 healthy controls (7.9 (1.2) y). Among children with CF, 84% (47/56) had abnormal LCI, 58% (27/47) abnormal plethysmographic lung volumes (FRCpleth or RV), 35% (21/60) abnormal sRaw and 47% (28/60) abnormal spirometry (FEV1 or FEF25–75); whereas HRCT scans were abnormal in 85% (51/60): median total Brody-II score: 9.5% (range 0–51%). Total CT score correlated more strongly with LCI (Spearman correlation=0.77) than with spirometry (R=−0.43) or any other marker of lung function. Of the nine children with normal LCI, five had abnormalities on HRCT, whereas five children with normal HRCT had raised LCI. Conclusions These results suggest that while LCI and HRCT have similar sensitivity to detect CF lung disease, complimentary information may be gained in individual patients.


American Journal of Respiratory and Critical Care Medicine | 2008

Lung function from infancy to the preschool years after clinical diagnosis of cystic fibrosis.

Wanda Kozlowska; Andrew Bush; Angela Wade; Paul Aurora; Siobhán B. Carr; Rosie A. Castle; Ah-Fong Hoo; Sooky Lum; Jack F. Price; Sarath Ranganathan; Clare Saunders; Sanja Stanojevic; John Stroobant; Colin Wallis; Janet Stocks

RATIONALE After recent standardization of forced expiratory maneuvers for both infants and preschool children, longitudinal measurements are now possible from birth. OBJECTIVES The aim of this study was to investigate the evolution of lung function during the first 6 years of life after a clinical diagnosis of cystic fibrosis (CF) in infancy in children with CF and in healthy control subjects. METHODS The raised volume technique was used during infancy and incentive spirometry during the preschool years. MEASUREMENTS AND MAIN RESULTS Forty-eight children with CF and 33 healthy control subjects had up to seven (median, 3) measurements. Over these early years, the diagnosis of CF itself accounted for a significant mean reduction of 7.5% (95% confidence interval, 0.9 - 13.6%) in FEV(0.75) and 15.1% (95% confidence interval, 3.6 - 25.3%) in FEF(25-75). Wheeze on auscultation, recent cough, and Pseudomonas aeruginosa (PsA) infection (even if apparently effectively treated) were all independently associated with further reductions in lung function. Premorbid lung function did not predict infection with PsA. CONCLUSIONS This is the first study to describe physiologic measurements from infancy through the preschool years in subjects with CF and healthy control subjects, the understanding of which is critical for future intervention trials. Airflow obstruction in uncomplicated CF persists through the preschool years despite treatment, with PsA acquisition being associated with further deterioration in lung function, even when apparently eradicated. This suggests that new therapies are needed to treat the airflow obstruction of uncomplicated CF, and rigorous strategies to prevent PsA acquisition.


European Respiratory Journal | 2012

Effect of pulmonary exacerbations on long-term lung function decline in cystic fibrosis

Valerie Waters; Sanja Stanojevic; Eshetu G. Atenafu; Annie Lu; Yvonne Yau; Elizabeth Tullis; Felix Ratjen

It is unknown what proportion of long-term lung function decline in cystic fibrosis (CF) is explained by pulmonary exacerbations. The aim of this study was to determine how exacerbations requiring hospitalisation contribute to the course of CF lung disease. This was a retrospective cohort study. The primary outcome was the rate of decline of forced expiratory volume in 1 s (FEV1) % predicted. Out of 851 subjects, 415 (48.8%) subjects had ≥1 exacerbation. After adjustment for confounders, the annual rate of FEV1 decline in those without an exacerbation was 1.2% per yr (95% CI 1.0–1.5), compared with 2.5% per yr (95% CI 2.1–2.8) in those with an exacerbation. The proportion of overall FEV1 decline associated with ≥1 exacerbation was 52% (95% CI 35.0–68.9). For a given number of exacerbations, the annual rate of FEV1 decline was greatest in subjects with ≤6 months between exacerbations. Half of FEV1 decline seen in CF patients was associated with pulmonary exacerbations. Time between exacerbations, specifically ≤6 months between exacerbations, plays an important contribution to overall lung function decline. These findings support using time to next exacerbation as a clinical end-point for CF trials.


American Journal of Respiratory and Critical Care Medicine | 2013

Lung clearance index as an outcome measure for clinical trials in young children with cystic fibrosis. A pilot study using inhaled hypertonic saline.

Padmaja Subbarao; Sanja Stanojevic; Meghan Brown; Renee Jensen; Margaret Rosenfeld; Stephanie D. Davis; Lyndia Brumback; Per Gustafsson; Felix Ratjen

RATIONALE Lung clearance index (LCI), measured by multiple breath washout (MBW), is a noninvasive measure of ventilation inhomogeneity that holds promise as an objective physiologic endpoint for clinical trials in infants and preschool children with cystic fibrosis (CF). OBJECTIVES To study the feasibility of using LCI to assess treatment effect outcomes in CF trials of infants and preschoolers. METHODS The Infant Study of Inhaled Saline trial was a multicenter, randomized, controlled trial of hypertonic (7%) versus isotonic (0.9%) saline inhaled twice daily for 48 weeks in children with CF under 6 years of age. LCI measurements were performed in a single-center pilot substudy at baseline and 48 weeks using a respiratory mass spectrometer and sulfur hexafluoride as the tracer gas. LCI measurements were standardized using published normative data (zLCI) to account for height-related changes in LCI during early childhood. A generalized estimating equation model with an interaction between treatment group and test occasion was used to estimate a treatment effect. MEASUREMENTS AND MAIN RESULTS A total of 27 participants were randomized; 25 participants, aged (median [range]) 2.6 (0.34-4.95) years, had acceptable baseline and follow-up LCI measures. On average, LCI decreased in the hypertonic saline group (n = 12) by 1.19 z-scores units (95% confidence interval [CI] = -2.46 to 0.06), and remained stable in the isotonic saline group (n = 13) at 0.81 (95% CI = -0.40 to 2.02). A significant treatment effect was observed for zLCI (2.01; 95% CI = 0.26 to 3.76; P = 0.025). CONCLUSIONS MBW testing is feasible in an interventional study in infants and preschool children with CF. These pilot findings support the development of MBW and LCI as an objective outcome measure in interventional trials in young children with CF, and provide estimates for sample size calculations for future studies.


European Respiratory Journal | 2011

Influence of secular trends and sample size on reference equations for lung function tests

Philip H. Quanjer; Janet Stocks; Trevor Cole; Graham L. Hall; Sanja Stanojevic

The aim of our study was to determine the contribution of secular trends and sample size to lung function reference equations, and establish the number of local subjects required to validate published reference values. 30 spirometry datasets collected between 1978 and 2009 provided data on healthy, white subjects: 19,291 males and 23,741 females aged 2.5–95 yrs. The best fit for forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC) and FEV1/FVC as functions of age, height and sex were derived from the entire dataset using GAMLSS. Mean z-scores were calculated for individual datasets to determine inter-centre differences. This was repeated by subdividing one large dataset (3,683 males and 4,759 females) into 36 smaller subsets (comprising 18–227 individuals) to preclude differences due to population/technique. No secular trends were observed and differences between datasets comprising >1,000 subjects were small (maximum difference in FEV1 and FVC from overall mean: 0.30– -0.22 z-scores). Subdividing one large dataset into smaller subsets reproduced the above sample size-related differences and revealed that at least 150 males and 150 females would be necessary to validate reference values to avoid spurious differences due to sampling error. Use of local controls to validate reference equations will rarely be practical due to the numbers required. Reference equations derived from large or collated datasets are recommended.

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Janet Stocks

UCL Institute of Child Health

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T. J. Cole

UCL Institute of Child Health

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Philip H. Quanjer

Erasmus University Rotterdam

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Graham L. Hall

University of Western Australia

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Angie Wade

UCL Institute of Child Health

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