scholarly journals The epidemiology of nontuberculous mycobacterial pulmonary disease in the Netherlands

2021 ◽  
pp. 00207-2021
Author(s):  
Jodie Anne Schildkraut ◽  
Sanne Maria Henriëtte Zweijpfenning ◽  
Martijn Nap ◽  
Kun He ◽  
Elena Dacheva ◽  
...  
Keyword(s):  
The Netherlands ◽  
Nontuberculous Mycobacteria ◽  
Opportunistic Pathogens ◽  
Notifiable Disease ◽  
Tuberculosis Patients ◽  
Drug Dispensing ◽  
Annual Prevalence ◽  
Prevalence Estimates ◽  
Icd 10 ◽  
Low Coverage

BackgroundNontuberculous mycobacteria (NTM) are emerging opportunistic pathogens of humans. Because NTM-PD is not a notifiable disease in Europe, the epidemiology of NTM-PD is not well known. However, the prevalence of NTM-PD is thought to be increasing, particularly in countries where tuberculosis rates have decreased. Here we aim to determine the prevalence of NTM-PD in the Netherlands.Annual prevalence estimates of NTM-PD in the Netherlands (2012–2019) were derived from four separate databases, including two drug dispensing databases, an ICD-10 code database and a hospitalisation database. Databases covered a fraction of the Dutch population and were extrapolated. In addition, annual NTM-PD prevalence was also estimated by means of a pulmonologist survey.The estimated annual prevalence of NTM-PD using databases is between 2.3 and 5.9 patients/100 000 inhabitants. Prevalence estimates derived from the drug dispensing databases, the hospitalisation database and the claims database were 2.3, 5.9, 3.5 and 4.5/100 000 inhabitants, respectively. The annual prevalence estimated in the pulmonologist survey was between 6.2 and 9.9/100 000 inhabitants. The annual prevalence remained stable over the included period.The estimated annual prevalence of NTM-PD using databases was between 2.3 and 5.9 patients/100 000 inhabitants. Due to the possible presence of tuberculosis patients and low coverage in one dispensing database, we believe an annual prevalence of between 2.3 and 4.5 patients/100 000 inhabitants is more probable which still renders NTM-PD a serious health threat. This estimate is lower than the estimate from the pulmonologist survey, indicating physicians likely overestimate prevalence.

scholarly journals Nontuberculous Mycobacteria, Fungi, and Opportunistic Pathogens in Unchlorinated Drinking Water in the Netherlands

2012 ◽  
Vol 79 (3) ◽  
pp. 825-834 ◽  
Author(s):  
Paul W. J. J. van der Wielen ◽  
Dick van der Kooij
Keyword(s):  
Drinking Water ◽  
Organic Carbon ◽  
The Netherlands ◽  
Legionella Pneumophila ◽  
Water Samples ◽  
Distribution System ◽  
Nontuberculous Mycobacteria ◽  
Opportunistic Pathogens ◽  
Content Type ◽  
Premise Plumbing

ABSTRACTThe multiplication of opportunistic pathogens in drinking water supplies might pose a threat to public health. In this study, distributed unchlorinated drinking water from eight treatment plants in the Netherlands was sampled and analyzed for fungi, nontuberculous mycobacteria (NTM), and several opportunistic pathogens by using selective quantitative PCR methods. Fungi and NTM were detected in all drinking water samples, whereasLegionella pneumophila,Pseudomonas aeruginosa,Stenotrophomonas maltophilia, andAspergillus fumigatuswere sporadically observed.Mycobacterium aviumcomplex andAcanthamoebaspp. were not detected. Season had no influence on the occurrence of these organisms, except for NTM andS. maltophilia, which were present in higher numbers in the summer. Opportunistic pathogens were more often observed in premise plumbing water samples than in samples from the distribution system. The lowest number of these organisms was observed in the finished water at the plant. Thus, fungi, NTM, and some of the studied opportunistic pathogens can multiply in the distribution and premise plumbing systems. Assimilable organic carbon (AOC) and/or total organic carbon (TOC) had no clear effects on fungal and NTM numbers or onP. aeruginosa- andS. maltophilia-positive samples. However,L. pneumophilawas detected more often in water with AOC concentrations above 10 μg C liter−1than in water with AOC levels below 5 μg C liter−1. Finally, samples that containedL. pneumophila,P. aeruginosa, orS. maltophiliawere more frequently positive for a second opportunistic pathogen, which shows that certain drinking water types and/or sampling locations promote the growth of multiple opportunistic pathogens.

scholarly journals The tip of the iceberg: incompleteness of measles reporting during a large outbreak in The Netherlands in 2013–2014

2018 ◽  
Vol 147 ◽  
Author(s):  
T. Woudenberg ◽  
F. Woonink ◽  
J. Kerkhof ◽  
K. Cox ◽  
W.L.M. Ruijs ◽  
...  
Keyword(s):  
The Netherlands ◽  
Vaccination Coverage ◽  
National Level ◽  
Notifiable Disease ◽  
National Register ◽  
Notifiable Diseases ◽  
Measles Outbreak ◽  
Large Outbreak ◽  
Completeness Of Reporting

AbstractMeasles is a notifiable disease, but not everyone infected seeks care, nor is every consultation reported. We estimated the completeness of reporting during a measles outbreak in The Netherlands in 2013–2014. Children below 15 years of age in a low vaccination coverage community (n= 3422) received a questionnaire to identify measles cases. Cases found in the survey were matched with the register of notifiable diseases to estimate the completeness of reporting. Second, completeness of reporting was assessed by comparing the number of susceptible individuals prior to the outbreak with the number of reported cases in the surveyed community and on a national level.We found 307 (15%) self-identified measles cases among 2077 returned questionnaires (61%), of which 27 could be matched to a case reported to the national register; completeness of reporting was 8.8%. Based on the number of susceptible individuals and number of reported cases in the surveyed community and on national level, the completeness of reporting was estimated to be 9.1% and 8.6%, respectively. Estimating the completeness of reporting gave almost identical estimates, which lends support to the credibility and validity of both approaches. The size of the 2013–2014 outbreak approximated 31 400 measles infections.

scholarly journals Risk factors for tuberculosis in contact investigations in Rotterdam, the Netherlands

2012 ◽  
Vol 4 (2) ◽  
pp. 26 ◽  
Author(s):  
Jesse Eduard Verdier ◽  
Sake Jan De Vlas ◽  
Inge D. Kidgell-Koppelaar ◽  
Jan Hendrik Richardus
Keyword(s):  
Risk Factors ◽  
The Netherlands ◽  
Old Age ◽  
Latent Tuberculosis ◽  
Index Patient ◽  
Active Tuberculosis ◽  
Tuberculosis Case ◽  
Tuberculosis Patients ◽  
The Public ◽  
Contact Investigations

Contact investigations around tuberculosis patients enable early detection of infection and disease, and prevention of secondary tuberculosis cases. We aim to identify risk factors for <em>M. tuberculosis </em>transmission to contacts of tuberculosis patients, based on unique data from routine contact investigations by the Public Health Service in Rotterdam, the Netherlands, collected between 2001 and 2006. Through logistic regression analysis, we determined the effect of various risk factors on the chance of finding a latent tuberculosis (TB) infection or overt tuberculosis case among contacts. A total of 1165 index patients with active tuberculosis were registered and at least one contact was investigated in 731, resulting in 21,540 contacts overall. Altogether, the contact investigations led to 91 cases of active tuberculosis. Of the 12,698 contacts eligible for screening by tuberculin skin test, 1091 (9%) were diagnosed with latent tuberculosis infections. Risk factors were old age of the contact, old age of the index patient, and the relationship to the index. A larger fraction of infected close contacts was strongly associated with infections among more distant contacts. Our findings emphasize the importance of including these personal and interpersonal risk factors in decision making in contact investigations.

scholarly journals High-Quality Draft Genome Sequences of Rare Nontuberculous Mycobacteria Isolated from Surfaces of a Hospital

2019 ◽  
Vol 8 (21) ◽  
Author(s):  
Igor Tiago ◽  
Susana Alarico ◽  
Ana Maranha ◽  
Catarina Coelho ◽  
Sónia Gonçalves Pereira ◽  
...  
Keyword(s):  
Tertiary Care Hospital ◽  
Nontuberculous Mycobacteria ◽  
Tertiary Care ◽  
Draft Genome ◽  
Hospital Setting ◽  
Multidrug Resistant ◽  
Care Hospital ◽  
Opportunistic Pathogens ◽  
Genome Sequences ◽  
High Quality

Nontuberculous mycobacteria (NTM), some of which had multidrug-resistant profiles, were isolated from a tertiary care hospital setting. Although most NTM are nonpathogenic, contamination of hospital surfaces by these opportunistic pathogens poses a health risk to vulnerable inpatients.

The utility of online panel surveys versus computer-assisted interviews in obtaining substance-use prevalence estimates in the Netherlands

Addiction ◽  
2009 ◽  
Vol 104 (10) ◽  
pp. 1641-1645 ◽  
Author(s):  
Renske Spijkerman ◽  
Ronald Knibbe ◽  
Kim Knoops ◽  
Dike van de Mheen ◽  
Regina van den Eijnden
Keyword(s):  
Substance Use ◽  
The Netherlands ◽  
Computer Assisted ◽  
Panel Surveys ◽  
Online Panel ◽  
Prevalence Estimates

scholarly journals Epidemiology of Nontuberculous Mycobacteriosis

2018 ◽  
Vol 39 (03) ◽  
pp. 325-335 ◽  
Author(s):  
Shelby Daniel-Wayman ◽  
Emily Ricotta ◽  
D. Prevots ◽  
Jennifer Adjemian
Keyword(s):  
United States ◽  
Disease Risk ◽  
Atmospheric Moisture ◽  
Soil Factors ◽  
Immune Genes ◽  
Annual Prevalence ◽  
Prevalence Estimates ◽  
Immune Deficiencies ◽  
Prevalence Prevalence ◽  
Race Ethnicity

AbstractAnnual prevalence estimates for pulmonary nontuberculous mycobacterial (PNTM) disease in the contiguous United States range from 1.4 to 13.9 per 100,000 persons, while one study found an annual prevalence of up to 44 per 100,000 persons in Hawaii. PNTM prevalence varies by region, sex, and race/ethnicity, with higher prevalence among women and persons of Asian ancestry, as well as in the Southern United States and Hawaii. Studies consistently indicate that PNTM prevalence is increasing, with estimates ranging from 2.5 to 8% per year. Most PNTM disease is associated with Mycobacterium avium complex (MAC), although the proportion of disease attributed to MAC varies by region. Host factors identified as influencing disease risk include structural lung disease, immunomodulatory medication, as well as variants in connective tissue, mucociliary clearance, and immune genes. Environmental variables including measures of atmospheric moisture and concentrations of certain soil factors have also been shown to correlate with higher PNTM prevalence. Prevalence of extrapulmonary NTM disease is lower, stable, and associated with different risk factors, including primary immune deficiencies or HIV infection.

scholarly journals Molecular Identification of Nontuberculous Mycobacteria in Humans in Zimbabwe Using 16S Ribosequencing

2016 ◽  
Vol 10 (1) ◽  
pp. 113-123 ◽  
Author(s):  
Nyasha Chin’ombe ◽  
Boniface Muzividzi ◽  
Ellen Munemo ◽  
Pasipanodya Nziramasanga
Keyword(s):  
Ribosomal Rna ◽  
Nontuberculous Mycobacteria ◽  
Reference Laboratory ◽  
Opportunistic Pathogens ◽  
Chain Reaction ◽  
Future Studies ◽  
True Diversity ◽  
National Tuberculosis ◽  
Mycobacterium Avium Intracellulare ◽  
Polymerase Chain

Background:Several nontuberculous mycobacteria (NTM) were previously isolated from diverse environments such as water, soil, sewage, food and animals. Some of these NTM are now known to be opportunistic pathogens of humans.Objective:The main purpose of the study was to identify NTM isolates stored at the National Microbiology Reference Laboratory (NMRL) and were previously isolated from humans during a national tuberculosis (TB) survey.Methods:Pure NTM cultures already isolated from human sputum samples during the national TB survey were retrieved from the NMRL and used for this study. DNA was extracted from the samples and 16S ribosomal RNA gene amplified by polymerase chain reaction. The amplicons were sequenced and bioinformatics tools were used to identify the NTM species.Results:Out of total of 963 NTM isolates stored at the NMRL, 81 were retrieved for speciation. Forty isolates (49.4%) were found to belong toMycobacterium avium-intracellularecomplex (MAC) species. The other 41 isolates (50.6%) were identified asM. lentiflavum(6.2%),M. terraecomplex (4.9%),M. paraense(4.9%),M. kansasii(3.7%),M. moriokaense(3.7%),M. asiaticum(2.5%),M. novocastrense(2.5%),M. brasiliensis(2.5%),M. elephantis(2.5%),M. paraffinicum(1.2%),M. bohemicum(1.2%),M. manitobense(1.2%),M. intermedium(1.2%),M. tuberculosiscomplex (1.2%),M. parakoreense(1.2%),M. florentinum(1.2%),M. litorale(1.2%),M. fluoranthenivorans(1.2%),M. sherrisii(1.2%),M. fortuitum(1.2%) andM septicum(1.2%). Two isolates (2.5%) could not be identified, but were closely related toM. montefiorenseandM. phleirespectively. Interestingly, the MAC species were the commonest NTM during the survey.Conclusion:The study emphasizes the importance of identifying species of NTM in Zimbabwe. Future studies need to ascertain their true diversity and clinical relevance.

Sign in / Sign up

Export Citation Format

Share Document