ABSTRACT
We provide incidences (cases/10 million persons) in the Netherlands during 2009-2019 for pathogens listed as potential bioterrorism agents. We included pathogens from the highest categories of the European Medicines Agency or the US Centers for Disease Control and Prevention. Notifiable diseases and recently published data were used to calculate the average annual incidence. Coxiella burnetii had the highest incidence because of a Q fever epidemic during 2007-2010. Incidence then decreased to 10.8 cases/. Pathogens with an incidence >1 were Brucella spp. (2.5 cases), Francisella tularensis (1.3 cases), and Burkholderia pseudomallei (1.1 cases). Pathogens with an incidence <1 were hemorrhagic fever viruses (0.3 cases), Clostridium botulinum (0.2 cases), and Bacillus anthracis (0.1 cases). Variola major and Yersinia pestis were absent. The generally low incidences make it unlikely that ill-meaning persons can isolate these pathogens from natural sources in the Netherlands. However, the pathogens are stored in laboratories, underscoring the need for biosecurity measures.
Subject(s)
Bacillus anthracis , Francisella tularensis , Biological Warfare Agents , Bioterrorism/prevention & control , Netherlands/epidemiologyABSTRACT
Toxoplasmosis caused by the protozoan parasite Toxoplasma gondii occurs worldwide. Infections range from asymptomatic to life-threatening. T. gondii infection is acquired either via bradyzoites in meat or via oocysts in the environment, but the relative importance of these path ways and the different sources remains unclear. In this study, possible risk factors for toxoplasmosis in the Netherlands were investigated. A case-control study was conducted including persons with recent infection and individuals with a negative test result for IgM and IgG for T. gondii between July 2016 and April 2021. A total of 48 cases and 50 controls completed the questionnaire. Food history and environmental exposure were compared using logistic regression. Consumption of different meats was found to be associated with recent infection. In the multivariable model, adjusted for age, gender, and pregnancy, consumption of large game meat (adjusted odds ratio (aOR) 8.2, 95% confidence interval 1.6-41.9) and sometimes (aOR 4.1, 1.1-15.3) or never (aOR 15.9, 2.2-115.5) washing hands before food preparation remained. These results emphasize the value of the advice to be careful with the consumption of raw and undercooked meat. Good hand hygiene could also be promoted in the prevention of T. gondii infection.
Subject(s)
Toxoplasma , Toxoplasmosis , Pregnancy , Female , Humans , Netherlands/epidemiology , Case-Control Studies , Toxoplasmosis/epidemiology , Risk FactorsABSTRACT
A third nationally representative serosurvey was performed to study the changes in Toxoplasma gondii (T. gondii) seroprevalence in the Netherlands over a 20-year time span and to identify and confirm risk factors for acquired toxoplasmosis. This cross-sectional study (conducted in 2016/2017) was designed similarly to the previous two studies (1995/1996 and 2006/2007) and included a questionnaire and serum sampling among Dutch residents. Factors associated with seropositivity for T. gondii were determined using multivariable analysis of the questionnaire-derived data. The earlier observed decrease in T. gondii seroprevalence between 1995/1996 and 2006/2007 (from 40.5% to 26.0%) did not continue into 2016/2017 (29.9%). Similarly to the previous studies, the seroprevalence increased with age and varied among regions. In all studies, higher T. gondii seropositivity was associated with increasing age, lower educational level, not living in the Southeast, and eating raw or semi-cooked pork. The incidence of congenital toxoplasmosis was estimated at 1.3/1000 (95% CI 0.9-1.8) live-born children in 2017. As the seroprevalence of T. gondii in the Netherlands did not decrease over the last decade, an increase in public health awareness is needed and prevention measures may need to be taken to achieve a further reduction in T. gondii infections in the Netherlands.
Subject(s)
Toxoplasma , Toxoplasmosis , Child , Humans , Cross-Sectional Studies , Netherlands/epidemiology , Seroepidemiologic Studies , Antibodies, Protozoan , Toxoplasmosis/epidemiology , Risk FactorsABSTRACT
We describe the consequences of 2 major changes in notification criteria for Shiga toxin-producing Escherichia coli surveillance in the Netherlands. The change to reporting acute, more severe infections appears to be a good compromise between workload, redundancy, and public health relevance, provided isolates remain available for typing and sequencing.
Subject(s)
Escherichia coli Infections , Shiga-Toxigenic Escherichia coli , Escherichia coli Infections/diagnosis , Escherichia coli Infections/epidemiology , Humans , Netherlands/epidemiology , Public Health , Shiga-Toxigenic Escherichia coli/geneticsABSTRACT
During the first wave of the severe acute respiratory syndrome-coronavirus-2 epidemic in the Netherlands, notifications consisted mostly of patients with relatively severe disease. To enable real-time monitoring of the incidence of mild coronavirus disease 2019 (COVID-19) - for which medical consultation might not be required - the Infectieradar web-based syndromic surveillance system was launched in mid-March 2020. Our aim was to quantify associations between Infectieradar participant characteristics and the incidence of self-reported COVID-19-like illness. Recruitment for this cohort study was via a web announcement. After registering, participants completed weekly questionnaires, reporting the occurrence of a set of symptoms. The incidence rate of COVID-19-like illness was estimated and multivariable Poisson regression used to estimate the relative risks associated with sociodemographic variables, lifestyle factors and pre-existing medical conditions. Between 17 March and 24 May 2020, 25 663 active participants were identified, who reported 7060 episodes of COVID-19-like illness over 131 404 person-weeks of follow-up. The incidence rate declined over the analysis period, consistent with the decline in notified cases. Male sex, age 65+ years and higher education were associated with a significantly lower COVID-19-like illness incidence rate (adjusted rate ratios (RRs) of 0.80 (95% CI 0.76-0.84), 0.77 (0.70-0.85), 0.84 (0.80-0.88), respectively) and the baseline characteristics ever-smoker, asthma, allergies, diabetes, chronic lung disease, cardiovascular disease and children in the household were associated with a higher incidence (RRs of 1.11 (1.04-1.19) to 1.69 (1.50-1.90)). Web-based syndromic surveillance has proven useful for monitoring the temporal trends in, and risk factors associated with, the incidence of mild disease. Increased relative risks observed for several patient factors could reflect a combination of exposure risk, susceptibility to infection and propensity to report symptoms.
Subject(s)
COVID-19/epidemiology , SARS-CoV-2 , Self Report , Sentinel Surveillance , Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Incidence , Internet , Male , Middle Aged , Netherlands/epidemiology , Risk Factors , Young AdultABSTRACT
BACKGROUND: Shigella spp. and entero-invasive E. coli (EIEC) use the same invasive mechanism to cause diarrheal diseases. Public health regulations apply only to Shigella spp. infections, but are hampered by the lack of simple methods to distinguish them from EIEC. In the last decades, molecular methods for detecting Shigella spp. and EIEC were implemented in medical microbiological laboratories (MMLs). However, shigellosis cases identified with molecular techniques alone are not notifiable in most countries. Our study investigates the impact of EIEC versus Shigella spp. infections and molecular diagnosed shigellosis versus culture confirmed shigellosis for re-examination of the rationale for the current public health regulations. METHODS: In this multicenter cross-sectional study, fecal samples of patients suspected for gastro-enteritis, referred to 15 MMLs in the Netherlands, were screened by PCR for Shigella spp. or EIEC. Samples were cultured to discriminate between the two pathogens. We compared risk factors, symptoms, severity of disease, secondary infections and socio-economic consequences for (i) culture-confirmed Shigella spp. versus culture-confirmed EIEC cases (ii) culture positive versus PCR positive only shigellosis cases. RESULTS: In 2016-2017, 777 PCR positive fecal samples with patient data were included, 254 of these were culture-confirmed shigellosis cases and 32 were culture-confirmed EIEC cases. EIEC cases were more likely to report ingestion of contaminated food and were less likely to be men who have sex with men (MSM). Both pathogens were shown to cause serious disease although differences in specific symptoms were observed. Culture-negative but PCR positive cases were more likely report travel or ingestion of contaminated food and were less likely to be MSM than culture-positive cases. Culture-negative cases were more likely to suffer from multiple symptoms. No differences in degree of secondary infections were observed between Shigella spp. and EIEC, and culture-negative and culture-positive cases. CONCLUSIONS: No convincing evidence was found to support the current guidelines that employs different measures based on species or detection method. Therefore, culture and molecular detection methods for Shigella spp. and EIEC should be considered equivalent for case definition and public health regulations regarding shigellosis. Differences were found regarding risks factors, indicating that different prevention strategies may be required.
Subject(s)
Dysentery, Bacillary/epidemiology , Dysentery, Bacillary/microbiology , Escherichia coli Infections/epidemiology , Escherichia coli Infections/microbiology , Adolescent , Adult , Bacteriological Techniques/methods , Cross-Sectional Studies , Diarrhea/microbiology , Dysentery, Bacillary/etiology , Escherichia coli/genetics , Escherichia coli/isolation & purification , Escherichia coli/pathogenicity , Escherichia coli Infections/etiology , Feces/microbiology , Female , Gastroenteritis/microbiology , Homosexuality, Male/statistics & numerical data , Humans , Incidence , Male , Middle Aged , Netherlands/epidemiology , Polymerase Chain Reaction , Public Health , Shigella/genetics , Shigella/isolation & purification , Shigella/pathogenicity , Young AdultABSTRACT
Background: In 2012, the Netherlands experienced the most extensive food-related outbreak of Salmonella ever recorded. It was caused by smoked salmon contaminated with Salmonella Thompson during processing. In total, 1149 cases of salmonellosis were laboratory confirmed and reported to RIVM. Twenty percent of cases was hospitalised and four cases were reported to be fatal. The purpose of this study was to estimate total costs of the Salmonella Thompson outbreak. Methods: Data from a case-control study were used to estimate the cost-of-illness of reported cases (i.e. healthcare costs, patient costs and production losses). Outbreak control costs were estimated based on interviews with staff from health authorities. Using the Dutch foodborne disease burden and cost-of-illness model, we estimated the number of underestimated cases and the associated cost-of-illness. Results: The estimated number of cases, including reported and underestimated cases was 21 123. Adjusted for underestimation, the total cost-of-illness would be 6.8 million (95% CI 2.5-16.7 million) with productivity losses being the main cost driver. Adding outbreak control costs, the total outbreak costs are estimated at 7.5 million. Conclusion: In the Netherlands, measures are taken to reduce salmonella concentrations in food, but detection of contamination during food processing remains difficult. As shown, Salmonella outbreaks have the potential for a relatively high disease and economic burden for society. Early warning and close cooperation between the industry, health authorities and laboratories is essential for rapid detection, control of outbreaks, and to reduce disease and economic burden.
Subject(s)
Cost of Illness , Disease Outbreaks/economics , Food Contamination/economics , Food Preservation/methods , Salmon , Salmonella Food Poisoning/economics , Adolescent , Adult , Animals , Child , Child, Preschool , Female , Humans , Infant , Male , Middle Aged , Netherlands , Young AdultABSTRACT
This report describes an outbreak investigation starting with two closely related suspected food-borne clusters of Dutch hepatitis A cases, nine primary cases in total, with an unknown source in the Netherlands. The hepatitis A virus (HAV) genotype IA sequences of both clusters were highly similar (459/460 nt) and were not reported earlier. Food questionnaires and a case-control study revealed an association with consumption of mussels. Analysis of mussel supply chains identified the most likely production area. International enquiries led to identification of a cluster of patients near this production area with identical HAV sequences with onsets predating the first Dutch cluster of cases. The most likely source for this cluster was a case who returned from an endemic area in Central America, and a subsequent household cluster from which treated domestic sewage was discharged into the suspected mussel production area. Notably, mussels from this area were also consumed by a separate case in the United Kingdom sharing an identical strain with the second Dutch cluster. In conclusion, a small number of patients in a non-endemic area led to geographically dispersed hepatitis A outbreaks with food as vehicle. This link would have gone unnoticed without sequence analyses and international collaboration.
Subject(s)
Bivalvia/virology , Disease Outbreaks/statistics & numerical data , Genome, Viral , Hepatitis A virus/genetics , Hepatitis A/epidemiology , Shellfish/virology , Adolescent , Adult , Animals , Case-Control Studies , Central America , Chick Embryo , Child , Cluster Analysis , Female , Genotype , Hepatitis A/diagnosis , Hepatitis A/virology , Hepatitis A virus/isolation & purification , Humans , Male , Molecular Sequence Data , Netherlands/epidemiology , Phylogeny , RNA, Viral/blood , RNA, Viral/genetics , RNA, Viral/isolation & purification , Risk Factors , Sequence Analysis, DNA , Travel , United Kingdom/epidemiologyABSTRACT
BACKGROUND: Public health surveillance is an important tool for monitoring cases of infectious diseases. Identification of risk factors requires the comparison of exposure between cases and controls. However, standard surveillance systems do not routinely collect information on controls. METHODS: Since 2008, we have extended the surveillance of infectious diseases in The Netherlands with a repeated population survey. This survey is based on the thrice-yearly administration of a questionnaire about potential risk factors for several gastrointestinal, foodborne and respiratory infections to a representative, dynamic sample of the Dutch population. The questionnaire contains questions similar to those used for interviewing cases. RESULTS: Over 14 mailing rounds, 4926 persons were approached with a response of 36%, with a small underrepresentation of men, young people, people living in large cities and persons with both parents born outside The Netherlands. Costs per completed questionnaire were around 15 euro. Muscle/joint pain in the past 4 weeks was the most reported symptom (44%), followed by running nose (39%) and headache (32%); 5.6% reported gastroenteritis, reflecting an incidence of 997 episodes per 1000 person-years. CONCLUSIONS: Extending traditional surveillance with a repeated population survey offers the unique opportunity to gather data for a multitude of purposes. The survey already has been used in two outbreak investigations and two case-control studies. It is cost-effective and may provide novel epidemiological insights towards risk group and risk factor identification and characterization for a variety of infectious diseases. The survey will be continued and expanded in use.
Subject(s)
Foodborne Diseases/epidemiology , Gastrointestinal Diseases/epidemiology , Population Surveillance/methods , Respiratory Tract Infections/epidemiology , Surveys and Questionnaires/standards , Adolescent , Adult , Aged , Child , Child, Preschool , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Netherlands/epidemiology , Risk Assessment , Surveys and Questionnaires/economics , Young AdultABSTRACT
BACKGROUND: During the 2009 influenza pandemic period, routine surveillance of influenza-like-illness (ILI) was conducted in The Netherlands by a network of sentinel general practitioners (GPs). In addition during the pandemic period, four other ILI/influenza surveillance systems existed. For pandemic preparedness, we evaluated the performance of the sentinel system and the others to assess which of the four could be useful additions in the future. We also assessed whether performance of the five systems was influenced by media reports during the pandemic period. METHODS: The trends in ILI consultation rates reported by sentinel GPs from 20 April 2009 through 3 January 2010 were compared with trends in data from the other systems: ILI cases self-reported through the web-based Great Influenza Survey (GIS); influenza-related web searches through Google Flu Trends (GFT); patients admitted to hospital with laboratory-confirmed pandemic influenza, and detections of influenza virus by laboratories. In addition, correlations were determined between ILI consultation rates of the sentinel GPs and data from the four other systems. We also compared the trends of the five surveillance systems with trends in pandemic-related newspaper and television coverage and determined correlation coefficients with and without time lags. RESULTS: The four other systems showed similar trends and had strong correlations with the ILI consultation rates reported by sentinel GPs. The number of influenza virus detections was the only system to register a summer peak. Increases in the number of newspaper articles and television broadcasts did not precede increases in activity among the five surveillance systems. CONCLUSIONS: The sentinel general practice network should remain the basis of influenza surveillance, as it integrates epidemiological and virological information and was able to maintain stability and continuity under pandemic pressure. Hospital and virological data are important during a pandemic, tracking the severity, molecular and phenotypic characterization of the viruses and confirming whether ILI incidence is truly related to influenza virus infections. GIS showed that web-based, self-reported ILI can be a useful addition, especially if virological self-sampling is added and an epidemic threshold could be determined. GFT showed negligible added value.
Subject(s)
Influenza, Human/epidemiology , Pandemics/prevention & control , Program Evaluation , Sentinel Surveillance , Adolescent , Adult , Aged , Child , Child, Preschool , Female , Humans , Infant , Infant, Newborn , Influenza A Virus, H1N1 Subtype/isolation & purification , Influenza, Human/prevention & control , Male , Mass Media , Middle Aged , Netherlands/epidemiology , Newspapers as Topic , Seasons , TelevisionABSTRACT
Listeria monocytogenes (Lm) is ubiquitous in nature and known for its ability to contaminate foods during production processes. Near real-time monitoring of whole genome sequences from food and human isolates, complemented with epidemiological data, has been used in the Netherlands since 2019 to increase the speed and success rate of source finding in the case of (active) clusters. Nine clusters with 4 to 19 human cases investigated between January 2019 and May 2023 are described. Fish production sites were most often linked to outbreaks of listeriosis (six clusters), though other types of food businesses can face similar Lm problems, as the production processes and procedures determine risk. The results showed that low levels of Lm in food samples can still be linked to disease. Therefore, the investigation of a cluster of cases and deployment of the precautionary principle helps to focus on safe food and to prevent further cases. Good practice of environmental monitoring within a food business allows early detection of potential issues with food safety and helps food businesses to take appropriate measures such as cleaning to prevent regrowth of Lm and thus future outbreaks.
ABSTRACT
Introduction: Listeriosis, caused by infection with Listeria monocytogenes (Lm), is a relatively rare but severe disease with one of the highest mortality rates among bacterial foodborne illnesses. A better understanding on the degree of Lm clustering, the temporal distribution of the clusters, and their association with the various food sources is expected to lead to improved source tracing and risk-based sampling. Methods: We investigated the genomic epidemiology of Lm in the Netherlands between 2010 and 2020 by analyzing whole-genome-sequencing (WGS) data of isolates from listerioss patients and food sources from nationwide integrated surveillance and monitoring. WGS data of 756 patient and 770 food/environmental isolates was assessed using core-genome multi-locus sequence typing (cgMLST) with Hamming distance as measure for pairwise distances. Associations of genotype with the epidemiological variables such as patient's age and gender, and systematic use of specific drugs were tested by multinomial logistic regressions. Genetic differentiation of the Lm within and between food categories was calculated based on allele frequencies at the 1701 cgMLST loci in each food category. Results: We confirmed previous results that some clonal complexes (CCs) are overrepresented among clinical isolates but could not identify any epidemiological risk factors. The main findings of this study include the observation of a very weak attribution of Lm types to food categories and a much better attribution to the producer level. In addition, we identified a high degree of temporal persistence of food, patient and mixed clusters, with more than half of the clusters spanning over more than 1 year and up to 10 years. Discussion: Taken together this would indicate that identifying persistent contamination in food production settings, and producers that process a wide variety of raw food produce, could significantly contribute to lowering the Lm disease burden.
ABSTRACT
[This corrects the article DOI: 10.1016/j.lanepe.2021.100142.].
ABSTRACT
In the Netherlands in 2003, an outbreak of avian influenza in poultry resulted in extensive culling, especially of layer hens. Concurrently, human campylobacteriosis cases decreased, particularly in the culling area. These observations raise the hypothesis that Campylobacter spp. dissemination from poultry farms or slaughterhouses might contribute to human campylobacteriosis.
Subject(s)
Campylobacter Infections/epidemiology , Disease Outbreaks/veterinary , Influenza in Birds/epidemiology , Animals , Campylobacter Infections/transmission , Humans , Influenza A Virus, H7N7 Subtype , Meat/microbiology , Netherlands/epidemiology , Poultry/microbiology , Poultry/virology , Retrospective StudiesABSTRACT
BACKGROUND: Day care-associated infectious diseases are widely recognized as a public health problem but rarely studied. Insights into their dynamics and their association with the day care setting are important for effective decision making in management of infectious disease control. This paper describes the purpose, design and potential of our national multi-center, day care-based sentinel surveillance network for infectious diseases (the KIzSS network). The aim of the KIzSS network is to acquire a long-term insight into the syndromic and microbiological aspects of day care-related infectious diseases and associated disease burden and to model these aspects with day care setting characteristics. METHODS/DESIGN: The KIzSS network applies a prospective cohort design, following day care centers rather than individual children or staff members over time. Data on infectious disease symptoms and related morbidity (children and staff), medical consumption, absenteeism and circulating enteric pathogens (children) are collected on a daily, weekly or monthly basis. Every two years, a survey is performed to assess the characteristics of participating day care centers. DISCUSSION: The KIzSS network offers a unique potential to study infectious disease dynamics in the day care setting over a sustained period of time. The created (bio)databases will help us to assess day care-related disease burden of infectious diseases among attending children and staff and their relation with the day care setting. This will support the much needed development of evidence-based and pragmatic guidelines for infectious disease control in day care centers.
Subject(s)
Communicable Diseases/epidemiology , Child Day Care Centers/statistics & numerical data , Child, Preschool , Communicable Diseases/microbiology , Communicable Diseases/parasitology , Female , Gastrointestinal Diseases/microbiology , Humans , Infant , Infant, Newborn , Male , Prospective Studies , Sentinel SurveillanceABSTRACT
Between April and May 2010, several medical microbiological laboratories in the Netherlands notified a total of 90 cases of Salmonella enterica serovar Typhimurium with the same antibiogram type (resistant for ampicillin, tetracycline, and co-trimoxazol) and the same multiple locus variable number tandem repeats analysis pattern (03-16-09-NA-311) or single locus variants. Date of illness onset ranged from end of March to mid-May with a peak in the second week of April. Almost half of the cases were hospitalized. Cases completed a questionnaire about food items and other risk factors in the 7 days before illness onset. A matched case-control study was performed. Consumption of "ossenworst" (matched odds ratio 48.2 [95% confidence interval (CI): 3.9-595.9]) and filet américain (8.5 [95% CI: 1.0-73.6]) were found to be significant risk factors for illness. Eighty percent of the cases had eaten at least one or both raw meat products. The producer of the ground beef that was used to produce the "ossenworst" was identified, but no microbiological evidence was found. Consumers should be made more aware of the presence of raw meat in ready-to-eat products and of the potential risk in eating these products. Vulnerable persons such as young children, elderly, and persons with poor health should be discouraged from eating these products. Detection of this outbreak was mainly based on the antibiogram pattern that had identified possible cases 10 days before detailed typing results from the reference laboratory became available, thus facilitating early case findings.
Subject(s)
Disease Outbreaks/statistics & numerical data , Meat Products/microbiology , Salmonella Food Poisoning/epidemiology , Salmonella typhimurium/isolation & purification , Adolescent , Adult , Aged , Aged, 80 and over , Animals , Case-Control Studies , Cattle , Child , Child, Preschool , Drug Resistance, Multiple, Bacterial , Female , Humans , Infant , Male , Middle Aged , Netherlands/epidemiology , Salmonella Food Poisoning/microbiology , Salmonella typhimurium/drug effects , Salmonella typhimurium/genetics , Surveys and Questionnaires , Young AdultABSTRACT
BACKGROUND: In contrast to seasonal influenza epidemics, where the majority of deaths occur amongst elderly, a considerable part of the 2009 pandemic influenza related deaths concerned relatively young people. In the Netherlands, all deaths associated with laboratory-confirmed influenza A(H1N1) 2009 virus infection had to be notified, both during the 2009-2010 pandemic season and the 2010-2011 influenza season. To assess whether and to what extent pandemic mortality patterns were reverting back to seasonal patterns, a retrospective analyses of all notified fatal cases associated with laboratory-confirmed influenza A(H1N1) 2009 virus infection was performed. METHODS: The notification database, including detailed information about the clinical characteristics of all notified deaths, was used to perform a comprehensive analysis of all deceased patients with a laboratory-confirmed influenza A(H1N1) 2009 virus infection. Characteristics of the fatalities with respect to age and underlying medical conditions were analysed, comparing the 2009-2010 pandemic and the 2010-2011 influenza season. RESULTS: A total of 65 fatalities with a laboratory-confirmed influenza A(H1N1) 2009 virus infection were notified in 2009-2010 and 38 in 2010-2011. During the pandemic season, the population mortality rates peaked in persons aged 0-15 and 55-64 years. In the 2010-2011 influenza season, peaks in mortality were seen in persons aged 0-15 and 75-84 years. During the 2010-2011 influenza season, the height of first peak was lower compared to that during the pandemic season. Underlying immunological disorders were more common in the pandemic season compared to the 2010-2011 season (p = 0.02), and cardiovascular disorders were more common in the 2010-2011 season (p = 0.005). CONCLUSIONS: The mortality pattern in the 2010-2011 influenza season still resembled the 2009-2010 pandemic season with a peak in relatively young age groups, but concurrently a clear shift toward seasonal patterns was seen, with a peak in mortality in the elderly, i.e. ≥ 75 years of age.
Subject(s)
Influenza A Virus, H1N1 Subtype , Influenza, Human/mortality , Adolescent , Aged , Aged, 80 and over , Child , Child, Preschool , Disease Outbreaks , Humans , Infant , Infant, Newborn , Influenza, Human/virology , Middle Aged , Netherlands/epidemiology , Retrospective Studies , SeasonsABSTRACT
BACKGROUND: Concerns about long-lasting symptoms attributed to Lyme borreliosis (LB) are widespread in the Western world, while such symptoms are highly prevalent in the general population. METHODS: In the largest prospective study to date, adults with physician-confirmed LB were included at the start of antibiotic treatment. Primary outcomes, prevalence of persistent symptoms and symptom severity, were assessed using three-monthly standardised questionnaires during one year. Persistent symptoms were defined as impaired scores for fatigue (CIS, subscale fatigue), cognitive impairment (CFQ) or pain (SF-36, subscale bodily pain) ≥6 months, with onset <6 months. Outcomes were compared with a longitudinal general population and a tick-bite cohort without LB as a reference. FINDINGS: Of 1135 LB patients (94â¢8% erythema migrans, 5â¢2% disseminated LB), 1084 fulfilled primary analysis criteria, as well as 1942 population and 1887 tick-bite controls. Overall prevalence of persistent symptoms in LB patients was 27â¢2% (95%CI, 24â¢7%-29â¢7%); 6â¢0% and 3â¢9% higher than in population (21â¢2%, 95%CI, 19â¢3%-23â¢1%; p < 0â¢0001) and tick-bite (23â¢3%, 95%CI 21â¢3%-25â¢3%; p = 0â¢016) cohorts, respectively. At 12 months, fatigue, cognitive impairment, and pain were significantly more severe in erythema migrans patients than in reference cohorts, while in disseminated LB patients, only pain was more severe. INTERPRETATION: In treated LB patients, persistent symptoms were significantly more prevalent and symptoms were more severe than in individuals without LB, although the background prevalence was substantial. This suggests an association, either direct or indirect, between persistent symptoms and LB in a relatively small subset of patients. FUNDING: ZonMw; Dutch Ministry of Health, Welfare and Sport.