Evelyn Lavu
Public health laboratory
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Featured researches published by Evelyn Lavu.
PLOS ONE | 2014
Manuel W. Hetzel; Madhu Page-Sharp; Nancy Bala; Justin Pulford; Inoni Betuela; Timothy M. E. Davis; Evelyn Lavu
Background Poor-quality life-saving medicines are a major public health threat, particularly in settings with a weak regulatory environment. Insufficient amounts of active pharmaceutical ingredients (API) endanger patient safety and may contribute to the development of drug resistance. In the case of malaria, concerns relate to implications for the efficacy of artemisinin-based combination therapies (ACT). In Papua New Guinea (PNG), Plasmodium falciparum and P. vivax are both endemic and health facilities are the main source of treatment. ACT has been introduced as first-line treatment but other drugs, such as primaquine for the treatment of P. vivax hypnozoites, are widely available. This study investigated the quality of antimalarial drugs and selected antibiotics at all levels of the health facility supply chain in PNG. Methods and Findings Medicines were obtained from randomly sampled health facilities and selected warehouses and hospitals across PNG and analysed for API content using validated high performance liquid chromatography (HPLC). Of 360 tablet/capsule samples from 60 providers, 9.7% (95% CI 6.9, 13.3) contained less, and 0.6% more, API than pharmacopoeial reference ranges, including 29/37 (78.4%) primaquine, 3/70 (4.3%) amodiaquine, and one sample each of quinine, artemether, sulphadoxine-pyrimethamine and amoxicillin. According to the package label, 86.5% of poor-quality samples originated from India. Poor-quality medicines were found in 48.3% of providers at all levels of the supply chain. Drug quality was unrelated to storage conditions. Conclusions This study documents the presence of poor-quality medicines, particularly primaquine, throughout PNG. Primaquine is the only available transmission-blocking antimalarial, likely to become important to prevent the spread of artemisinin-resistant P. falciparum and eliminating P. vivax hypnozoites. The availability of poor-quality medicines reflects the lack of adequate quality control and regulatory mechanisms. Measures to stop the availability of poor-quality medicines should include limiting procurement to WHO prequalified products and implementing routine quality testing.
PLOS ONE | 2016
Paul Aia; Margaret Kal; Evelyn Lavu; Lucy N. John; Karen C. Johnson; Chris Coulter; Julia Ershova; Olga Tosas; Matteo Zignol; Shalala Ahmadova; Tauhid Islam
Background Reliable estimates of the burden of multidrug-resistant tuberculosis (MDR-TB) are crucial for effective control and prevention of tuberculosis (TB). Papua New Guinea (PNG) is a high TB burden country with limited information on the magnitude of the MDR-TB problem. Methods A cross-sectional study was conducted in four PNG provinces: Madang, Morobe, National Capital District and Western Province. Patient sputum samples were tested for rifampicin resistance by the Xpert MTB/RIF assay and those showing the presence of resistance underwent phenotypic susceptibility testing to first- and second-line anti-TB drugs including streptomycin, isoniazid, rifampicin, ethambutol, pyrazinamide, ofloxacin, amikacin, kanamycin and capreomycin. Results Among 1,182 TB patients enrolled in the study, MDR-TB was detected in 20 new (2.7%; 95% confidence intervals [CI] 1.1–4.3%) and 24 previously treated (19.1%; 95%CI: 8.5–29.8%) TB cases. No case of extensively drug-resistant TB (XDR-TB) was detected. Thirty percent (6/20) of new and 33.3% (8/24) of previously treated cases with MDR-TB were detected in a single cluster in Western Province. Conclusion In PNG the proportion of MDR-TB in new cases is slightly lower than the regional average of 4.4% (95%CI: 2.6–6.3%). A large proportion of MDR-TB cases were identified from a single hospital in Western Province, suggesting that the prevalence of MDR-TB across the country is heterogeneous. Future surveys should further explore this finding. The survey also helped strengthening the use of smear microscopy and Xpert MTB/RIF testing as diagnostic tools for TB in the country.
PLOS ONE | 2014
Caroline Chevallier; Ragagalo Opina; Gola Sawiya; Joseph Kivavia; Albina Kalinoe; Kathalina Nathaniel; Oscillah Kaminiel; John Millan; Andrea Carmone; Mary Dini; Theresa Palou; Kum Topma; Evelyn Lavu; Jessica Markby
Laboratory-based CD4 monitoring of HIV patients presents challenges in resource limited settings (RLS) including frequent machine breakdown, poor engineering support and limited cold chain and specimen transport logistics. This study assessed the performance of two CD4 tests designed for use in RLS; the Dynal assay and the Alere PIMA test (PIMA). Accuracy of Dynal and PIMA using venous blood was assessed in a centralised laboratory by comparison to BD FACSCount (BD FACS). Dynal had a mean bias of −50.35 cells/µl (r2 = 0.973, p<0.0001, n = 101) and PIMA −22.43 cells/µl (r2 = 0.964, p<0.0001, n = 139) compared to BD FACS. Similar results were observed for PIMA operated by clinicians in one urban (n = 117) and two rural clinics (n = 98). Using internal control beads, PIMA precision was 10.34% CV (low bead mean 214.24 cells/µl) and 8.29% (high bead mean 920.73 cells/µl) and similar %CV results were observed external quality assurance (EQA) and replicate patient samples. Dynal did not perform using EQA and no internal controls are supplied by the manufacturer, however duplicate testing of samples resulted in r2 = 0.961, p<0.0001, mean bias = −1.44 cells/µl. Using the cut-off of 350 cells/µl compared to BD FACS, PIMA had a sensitivity of 88.85% and specificity of 98.71% and Dynal 88.61% and 100%. A total of 0.44% (2/452) of patient samples were misclassified as “no treat” and 7.30% (33/452) “treat” using PIMA whereas with Dynal 8.91% (9/101) as “treat” and 0% as “no treat”. In our setting PIMA was found to be accurate, precise and user-friendly in both laboratory and clinic settings. Dynal performed well in initial centralized laboratory evaluation, however lacks requisite quality control measures, and was technically more difficult to use, making it less suitable for use at lower tiered laboratories.
Microbial Genomics | 2018
Arnold Bainomugisa; Evelyn Lavu; Stenard Hiashiri; Suman S. Majumdar; Alice Honjepari; Rendi Moke; Paison Dakulala; Grant A. Hill-Cawthorne; Sushil Pandey; Ben J. Marais; Chris Coulter; Lachlan Coin
An outbreak of multi-drug resistant (MDR) tuberculosis (TB) has been reported on Daru Island, Papua New Guinea. Mycobacterium tuberculosis strains driving this outbreak and the temporal accrual of drug resistance mutations have not been described. Whole genome sequencing of 100 of 165 clinical isolates referred from Daru General Hospital to the Supranational reference laboratory, Brisbane, during 2012–2015 revealed that 95 belonged to a single modern Beijing sub-lineage strain. Molecular dating suggested acquisition of streptomycin and isoniazid resistance in the 1960s, with potentially enhanced virulence mediated by an mycP1 mutation. The Beijing sub-lineage strain demonstrated a high degree of co-resistance between isoniazid and ethionamide (80/95; 84.2 %) attributed to an inhA promoter mutation combined with inhA and ndh coding mutations. Multi-drug resistance, observed in 78/95 samples, emerged with the acquisition of a typical rpoB mutation together with a compensatory rpoC mutation in the 1980s. There was independent acquisition of fluoroquinolone and aminoglycoside resistance, and evidence of local transmission of extensively drug resistant (XDR) strains from 2009. These findings underline the importance of whole genome sequencing in informing an effective public health response to MDR/XDR TB.
PLOS ONE | 2017
Evelyn Lavu; Ellan Kave; Euodia Mosoro; Jessica Markby; Eman Aleksic; Janet Gare; Imogen A. Elsum; Petronia Kaima; Nick Dala; Anup Gurung; Silvia Bertagnolio; Suzanne M. Crowe; Mark Myatt; Anna C. Hearps; Michael R. Jordan; Luis Menéndez-Arias
Introduction Papua New Guinea is a Pacific Island nation of 7.3 million people with an estimated HIV prevalence of 0.8%. ART initiation and monitoring are guided by clinical staging and CD4 cell counts, when available. Little is known about levels of transmitted HIV drug resistance in recently infected individuals in Papua New Guinea. Methods Surveillance of transmitted HIV drug resistance in a total of 123 individuals recently infected with HIV and aged less than 30 years was implemented in Port Moresby (n = 62) and Mount Hagen (n = 61) during the period May 2013-April 2014. HIV drug resistance testing was performed using dried blood spots. Transmitted HIV drug resistance was defined by the presence of one or more drug resistance mutations as defined by the World Health Organization surveillance drug resistance mutations list. Results The prevalence of non-nucleoside reverse transcriptase inhibitor transmitted HIV drug resistance was 16.1% (95% CI 8.8%-27.4%) and 8.2% (95% CI 3.2%-18.2%) in Port Moresby and Mount Hagen, respectively. The prevalence of nucleoside reverse transcriptase inhibitor transmitted HIV drug resistance was 3.2% (95% CI 0.2%-11.7%) and 3.3% (95% CI 0.2%-11.8%) in Port Moresby and Mount Hagen, respectively. No protease inhibitor transmitted HIV drug resistance was observed. Conclusions The level of non-nucleoside reverse transcriptase inhibitor drug resistance in antiretroviral drug naïve individuals recently infected with HIV in Port Moresby is amongst the highest reported globally. This alarming level of transmitted HIV drug resistance in a young sexually active population threatens to limit the on-going effective use of NNRTIs as a component of first-line ART in Papua New Guinea. To support the choice of nationally recommended first-line antiretroviral therapy, representative surveillance of HIV drug resistance among antiretroviral therapy initiators in Papua New Guinea should be urgently implemented.
Paediatrics and International Child Health | 2018
Sharon Kasa Tom; Henry Welch; Cornelia Kilalang; Nakapi Tefuarani; John Vince; Evelyn Lavu; Karen Johnson; Ruth Magaye; Trevor Duke
Abstract Background: The Gene Xpert MTB/ RIF assay (Xpert) is used for rapid, simultaneous detection of Mycobacterium tuberculosis (MTB) and rifampicin resistance. This study examined the accuracy of Xpert in children with suspected pulmonary tuberculosis (PTB). Methods: Children admitted to Port Moresby General Hospital with suspected PTB were prospectively enrolled between September 2014 and March 2015. They were classified into probable, possible and TB-unlikely groups. Sputum or gastric aspirates were tested by Xpert and smear microscopy; mycobacterial culture was undertaken on a subset. Children were diagnosed with TB on the basis of standard criteria which were used as the primary reference standard. Xpert, smear for acid-fast bacilli (AFB) and the Edwards TB score were compared with the primary reference standard. Results: A total of 93 children ≤14 years with suspected PTB were enrolled; 67 (72%) were classified as probable, 21 (22%) possible and 5 (5.4%) TB-unlikely. Eighty were treated for TB based on the primary reference standard. Xpert was positive in 26/93 (28%) MTB cases overall, including 22/67 (33%) with probable TB and 4/21 (19%) with possible TB. Three (13%) samples identified rifampicin resistance. Xpert confirmed more cases of TB than AFB smear (26 vs 13, p = 0.019). The sensitivity of Xpert, AFB smear and an Edwards TB score of ≥7 was 31% (25/80), 16% (13/80) and 90% (72/80), respectively, and the specificity was 92% (12/13), 100% (13/13) and 31% (4/13), respectively, when compared with the primary reference standard. Conclusion: Xpert sensitivity is sub-optimal and cannot be relied upon for diagnosing TB, although a positive result is confirmatory. A detailed history and examination, standardised clinical criteria, radiographs and available tests remain the most appropriate way of diagnosing TB in children in resource-limited countries. Xpert helps confirm PTB better than AFB smear, and identifies rifampicin resistance. Practical guidelines should be used to identify children who will benefit from an Xpert assay.
bioRxiv | 2017
Arnold Bainomugisa; Evelyn Lavu; Stenard Hiashiri; Suman S. Majumdar; Alice Honjepari; Rendi Moke; Paison Dakulala; Grant A. Hill-Cawthorne; Sushil Pandey; Ben J. Marais; Chris Coulter; Lachlan Coin
An outbreak of multi-drug resistant tuberculosis has been reported on Daru Island, Papua New Guinea. The Mycobacterium tuberculosis strains driving this outbreak and the temporal accrual of drug resistance mutations have not been described. We analyzed 100 isolates using whole genome sequencing and found 95 belonged to a single modern Beijing strain cluster. Molecular dating suggested acquisition of streptomycin and isoniazid resistance in the 1960s, with virulence potentially enhanced by a mycP1 mutation. The outbreak cluster demonstrated a high degree of co-resistance between isoniazid and ethionamide (80/95; 84.2%) attributed to an inhA promoter mutation combined with inhA and ndh coding mutations. Multidrug resistance (MDR), observed in 78/95 samples, emerged with the acquisition of a typical rpoB mutation together with a compensatory rpoC mutation in the 1980s. There was independent acquisition of fluoroquinolone and aminoglycoside resistance; with evidence of local transmission of extensively-drug resistant (XDR) strains from 2009. These findings underscore the importance of whole-genome sequencing in informing an effective public health response to MDR/XDR M. tuberculosis.
bioRxiv | 2018
Arnold Bainomugisa; Tania Duarte; Evelyn Lavu; Sushil Pandey; Chris Coulter; Ben J. Marais; Lachlan Coin
A better understanding of the genomic changes that facilitate the emergence and spread of drug resistant M. tuberculosis strains is required. Short-read sequencing methods have limited capacity to identify long, repetitive genomic regions and gene duplications. We sequenced an extensively drug resistant (XDR) Beijing sub-lineage 2.2.1.1 “epidemic strain” from the Western Province of Papua New Guinea using long-read sequencing (Oxford Nanopore MinION®). With up to 274 fold coverage from a single flow-cell, we assembled a 4404947bp circular genome containing 3670 coding sequences that include the highly repetitive PE/PPE genes. Comparison with Illumina reads indicated a base-level accuracy of 99.95%. Mutations known to confer drug resistance to first and second line drugs were identified and concurred with phenotypic resistance assays. We identified mutations in efflux pump genes (Rv0194), transporters (secA1, glnQ, uspA), cell wall biosynthesis genes (pdk, mmpL, fadD) and virulence genes (mce-gene family, mycp1) that may contribute to the drug resistance phenotype and successful transmission of this strain. Using the newly assembled genome as reference to map raw Illumina reads from representative M. tuberculosis lineages, we detect large insertions relative to the reference genome. We provide a fully annotated genome of a transmissible XDR M. tuberculosis strain from Papua New Guinea using Oxford Nanopore MinION sequencing and provide insight into genomic mechanisms of resistance and virulence. Data Summary Sample Illumina and MinION sequencing reads generated and analyzed are available in NCBI under project accession number PRJNA386696 (https://www.ncbi.nlm.nih.gov/sra/?term=PRJNA386696) The assembled complete genome and its annotations are available in NCBI under accession number CP022704.1 (https://www.ncbi.nlm.nih.gov/sra/?term=CP022704.1) Impact statement We recently characterized a Modern Beijing lineage strain responsible for the drug resistance outbreaks in the Western province, Papua New Guinea. With some of the genomic markers responsible for its drug resistance and transmissibility are known, there is need to elucidate all molecular mechanisms that account for the resistance phenotype, virulence and transmission. Whole genome sequencing using short reads has widely been utilized to study MTB genome but it does not generally capture long repetitive regions as variants in these regions are eliminated using analysis. Illumina instruments are known to have a GC bias so that regions with high GC or AT rich are under sampled and this effect is exacerbated in MTB, which has approximately 65% GC content. In this study, we utilized Oxford Nanopore Technologies (ONT) MinION sequencing to assemble a high-quality complete genome of an extensively drug resistant strain of a modern Beijing lineage. We were able to able to assemble all PE/PPE (proline-glutamate/proline-proline-glutamate) gene families that have high GC content and repetitive in nature. We show the genomic utility of ONT in offering a more comprehensive understanding of genetic mechanisms that contribute to resistance, virulence and transmission. This is important for settings up predictive analytics platforms and services to support diagnostics and treatment.
Tuberculosis | 2018
Sushil Pandey; Evelyn Lavu; Jacob Congdon; Rendi Moke; Arnold Bainomugisa; Christopher Coulter
Outbreak of drug resistant tuberculosis in the Western province, Papua New Guinea is a concern to Queensland, Australia due to migration. We performed pncA mutation analysis and genotyping of multi-drug/pyrazinamide (MDR/PZA) resistant isolates from 18 Queensland (Qld) migrants and 81 Papua New Guinea (PNG) residents, to compare with phenotypic evidence of PZA resistance and to evaluate the genotypes obtained from the two countries. Seven different mutations were seen from Qld isolates of which 2 have not been described previously. A cluster of mutations were found between amino acids L35 and S65. Amongst the PNG isolates, 10 mutations were identified, of which 6 were unique and have not been described previously. Majority of the mutations formed 2 clusters, between amino acids Q10 to A20 and W68 to W119. Mutations identified at nucleotide (nt) position 202 and 307 were found to be the most common types, occurring in 25% and 51% of the PNG isolates respectively. The majority of the mutations were seen in MDR/PZA resistant isolates. These mutations could be utilized for direct screening of PZA resistance from PNG patient samples. Genotypic analysis of the isolates showed strong clustering amongst the PNG isolates as opposed to Qld isolates. A diversity of mutations and genotypes were seen amongst the Qld migrant isolates. Majority of PNG isolates had one genotype with two distinct pncA mutation patterns (T202C and T307G) which highlight on-going transmission. pncA mutation analysis provided a satisfactory alternative to PZA culture DST with high positive predictive value and an improved result turnaround time.
Microbial Genomics | 2018
Arnold Bainomugisa; Tania Duarte; Evelyn Lavu; Sushil Pandey; Chris Coulter; Ben J. Marais; Lachlan M. Coin
A better understanding of the genomic changes that facilitate the emergence and spread of drug-resistant Mycobacterium tuberculosis strains is currently required. Here, we report the use of the MinION nanopore sequencer (Oxford Nanopore Technologies) to sequence and assemble an extensively drug-resistant (XDR) isolate, which is part of a modern Beijing sub-lineage strain, prevalent in Western Province, Papua New Guinea. Using 238-fold coverage obtained from a single flow-cell, de novo assembly of nanopore reads resulted into one contiguous assembly with 99.92 % assembly accuracy. Incorporation of complementary short read sequences (Illumina) as part of consensus error correction resulted in a 4 404 064 bp genome with 99.98 % assembly accuracy. This assembly had an average nucleotide identity of 99.7 % relative to the reference genome, H37Rv. We assembled nearly all GC-rich repetitive PE/PPE family genes (166/168) and identified variants within these genes. With an estimated genotypic error rate of 5.3 % from MinION data, we demonstrated identification of variants to include the conventional drug resistance mutations, and those that contribute to the resistance phenotype (efflux pumps/transporter) and virulence. Reference-based alignment of the assembly allowed detection of deletions and insertions. MinION sequencing provided a fully annotated assembly of a transmissible XDR strain from an endemic setting and showed its utility to provide further understanding of genomic processes within Mycobacterium tuberculosis.