8 research outputs found
Follow-up of Staphylococcus aureus nasal carriage after 8 years: redefining the persistent carrier state
Studies of Staphylococcus aureus nasal carriage have distinguished three
carriage patterns: persistent, intermittent, and noncarriage. The criteria
used to identify these carriage patterns have been inconsistent. In 1988
the S. aureus nasal carrier index, i.e., the proportion of nasal swab
specimen cultures yielding S. aureus, was determined for 91 staff members
of various departments of a large university hospital by obtaining weekly
nasal swab specimens for culture over a 12-week period. Thirty-three (36%)
persons had carrier indices of 0.80 or higher, 15 (17%) had indices
between 0.1 and 0.7, and 43 (47%) had indices of zero. In 1995, 17
individuals with carrier indices of 0.80 or higher in 1988 were available
for reexamination. For 12 (71%) of these individuals, S. aureus was again
isolated from a single nasal swab, i.e., from each individual with a 1988
carrier index of 1.0 but from only half of those with indices below 1.0.
Genotyping (by randomly amplified polymorphic DNA analysis and
pulsed-field gel electrophoresis) of all S. aureus strains showed that
strains isolated from only three individuals, all with 1988 carrier
indices of 1.0, in 1988 and 1995 showed genetic similarity. In conclusion,
persistent S. aureus nasal carriage is a unique characteristic of a
fraction of the population, and the attribute "persistent" should be
confined to those individuals for whom serial nasal swab specimen cultures
consistently yield S. aureus
Molecular characterization and phylogeny of Shiga toxin–producing Escherichia coli isolates obtained from two Dutch regions using whole genome sequencing
AbstractShiga toxin–producing Escherichia coli (STEC) is one of the major causes of human gastrointestinal disease and has been implicated in sporadic cases and outbreaks of diarrhoea, haemorrhagic colitis and haemolytic uremic syndrome worldwide. In this study, we determined the molecular characteristics and phylogenetic relationship of STEC isolates, and their genetic diversity was compared to that of other E. coli populations. Whole genome sequencing was performed on 132 clinical STEC isolates obtained from the faeces of 129 Dutch patients with gastrointestinal complaints. STEC isolates of this study belonged to 44 different sequence types (STs), 42 serogenotypes and 14 stx subtype combinations. Antibiotic resistance genes were more frequently present in stx1-positive isolates compared to stx2 and stx1 + stx2–positive isolates. The iha, mchB, mchC, mchF, subA, ireA, senB, saa and sigA genes were significantly more frequently present in eae-negative than in eae-positive STEC isolates. Presence of virulence genes encoding type III secretion proteins and adhesins was associated with isolates obtained from patients with bloody diarrhoea. Core genome phylogenetic analysis showed that isolates clustered according to their ST or serogenotypes irrespective of stx subtypes. Isolates obtained from patients with bloody diarrhoea were from diverse phylogenetic backgrounds. Some STEC isolates shared common ancestors with non-STEC isolates. Whole genome sequencing is a powerful tool for clinical microbiology, allowing high-resolution molecular typing, population structure analysis and detailed molecular characterization of strains. STEC isolates of a substantial genetic diversity and of distinct phylogenetic groups were observed in this study
Seroprevalence of SARS-CoV-2 antibodies among healthcare workers in Dutch hospitals after the 2020 first wave: a multicentre cross-sectional study with prospective follow-up
BackgroundWe aimed to estimate the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seroprevalence and describe its determinants and associated symptoms among unvaccinated healthcare workers (HCWs) after the first wave of the pandemic.MethodsHCWs from 13 Dutch hospitals were screened for antibodies against the spike protein of SARS-CoV-2 in June-July 2020 and after three months. Participants completed a retrospective questionnaire on determinants for occupational and community exposure to SARS-CoV-2 and symptoms suggestive of COVID-19 experienced since January 2020. The seroprevalence was calculated per baseline characteristic and symptom at baseline and after follow-up. Adjusted odds ratios (aOR) for seropositivity were determined using logistic regression.ResultsAmong 2328 HCWs, 323 (13.9%) were seropositive at enrolment, 49 of whom (15%) reported no previous symptoms suggestive of COVID-19. During follow-up, only 1% of the tested participants seroconverted. Seroprevalence was higher in younger HCWs compared to the mid-age category (aOR 1.53, 95% CI 1.07–2.18). Nurses (aOR 2.21, 95% CI 1.34–3.64) and administrative staff (aOR 1.87, 95% CI 1.02–3.43) had a higher seroprevalence than physicians. The highest seroprevalence was observed in HCWs in the emergency department (ED) (aOR 1.79, 95% CI 1.10–2.91), the lowest in HCWs in the intensive, high, or medium care units (aOR 0.47, 95% CI 0.31–0.71). Chronic respiratory disease, smoking, and having a dog were independently associated with a lower seroprevalence, while HCWs with diabetes mellitus had a higher seroprevalence. In a multivariable model containing all self-reported symptoms since January 2020, altered smell and taste, fever, general malaise/fatigue, and muscle aches were positively associated with developing antibodies, while sore throat and chills were negatively associated.ConclusionsThe SARS-CoV-2 seroprevalence in unvaccinated HCWs of 13 Dutch hospitals was 14% in June-July 2020 and remained stable after three months. A higher seroprevalence was observed in the ED and among nurses, administrative and young staff, and those with diabetes mellitus, while a lower seroprevalence was found in HCWs in intensive, high, or medium care, and those with self-reported lung disease, smokers, and dog owners. A history of altered smell or taste, fever, muscle aches and fatigue were independently associated with the presence of SARS-CoV-2 antibodies in unvaccinated HCWs.Medical Microbiolog
Dutch guideline on the laboratory detection of methicillin-resistant Staphylococcus aureus.
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Prevalence and Clinical Presentation of Health Care Workers With Symptoms of Coronavirus Disease 2019 in 2 Dutch Hospitals During an Early Phase of the Pandemic
Question What was the prevalence and clinical presentation of coronavirus disease 2019 among health care workers with self-reported fever or respiratory symptoms in 2 Dutch hospitals within 2 weeks after the first patient with coronavirus disease 2019 was detected in the Netherlands? Findings In this cross-sectional study that included 1353 health care workers with self-reported fever or respiratory symptoms, 6% were infected with severe acute respiratory syndrome coronavirus 2. Most health care workers with coronavirus disease 2019 experienced mild disease, and only 53% reported fever. Meaning The high prevalence of mild clinical presentations, frequently not including fever, suggests that the currently recommended case definition for suspected coronavirus disease 2019 should be used less stringently.Importance On February 27, 2020, the first patient with coronavirus disease 2019 (COVID-19) was reported in the Netherlands. During the following weeks, at 2 Dutch teaching hospitals, 9 health care workers (HCWs) received a diagnosis of COVID-19, 8 of whom had no history of travel to China or northern Italy, raising the question of whether undetected community circulation was occurring. Objective To determine the prevalence and clinical presentation of COVID-19 among HCWs with self-reported fever or respiratory symptoms. Design, Setting, and Participants This cross-sectional study was performed in 2 teaching hospitals in the southern part of the Netherlands in March 2020, during the early phase of the COVID-19 pandemic. Health care workers employed in the participating hospitals who experienced fever or respiratory symptoms were asked to voluntarily participate in a screening for infection with the severe acute respiratory syndrome coronavirus 2. Data analysis was performed in March 2020. Main Outcomes and Measures The prevalence of severe acute respiratory syndrome coronavirus 2 infection was determined by semiquantitative real-time reverse transcriptase-polymerase chain reaction on oropharyngeal samples. Structured interviews were conducted to document symptoms for all HCWs with confirmed COVID-19. Results Of 9705 HCWs employed (1722 male [18%]), 1353 (14%) reported fever or respiratory symptoms and were tested. Of those, 86 HCWs (6%) were infected with severe acute respiratory syndrome coronavirus 2 (median age, 49 years [range, 22-66 years]; 15 [17%] male), representing 1% of all HCWs employed. Most HCWs experienced mild disease, and only 46 (53%) reported fever. Eighty HCWs (93%) met a case definition of fever and/or coughing and/or shortness of breath. Only 3 (3%) of the HCWs identified through the screening had a history of travel to China or northern Italy, and 3 (3%) reported having been exposed to an inpatient with a known diagnosis of COVID-19 before the onset of symptoms. Conclusions and Relevance Within 2 weeks after the first Dutch case was detected, a substantial proportion of HCWs with self-reported fever or respiratory symptoms were infected with severe acute respiratory syndrome coronavirus 2, likely as a result of acquisition of the virus in the community during the early phase of local spread. The high prevalence of mild clinical presentations, frequently not including fever, suggests that the currently recommended case definition for suspected COVID-19 should be used less stringently.This cross-sectional study examines the prevalence and clinical presentation of coronavirus disease 2019 among health care workers in the Netherlands with self-reported fever or respiratory symptoms.Medical Microbiolog
Practice testing of generic quality indicators for responsible antibiotic use in nine hospitals in the Dutch–Belgian border area
Background: Inpatient quality indicators (IQIs) were previously developed to assess responsible antibiotic use. Aim: Practice testing of these QIs in the hospital setting.
Method: This study was performed within a DutcheBelgian border network of hospitals implementing the Infection Risk Scan (IRIS) point prevalence survey (PPS) as part of the i4-1-Health project. Twenty out of 51 DRIVE-AB IQIs, including 13 structure and seven process IQIs, were tested. Data on structure IQIs were obtained through a web-based questionnaire sent to the hospital medical microbiologists. PPS data from October to December 2018 were used to calculate performance scores for the process QIs.
Findings: Nine hospitals participated. Regarding structure IQIs: the lowest performance scores were observed for recommendations for microbiological investigations in the guidelines and the use of an approval system for restricted antibiotics. In addition, most hospitals reported that some antibiotics were out of stock due to shortages. Regarding process IQIs: 697 systemic antibiotic prescriptions were used to calculate performance scores. The lowest score was observed for documentation of an antibiotic plan in the medical file (58.8%). Performance scores for IQIs on guideline compliance varied between 74.1% and 82.3% for different aspects of the antibiotic regimen (duration, choice, route, timing).
Conclusion: This multicentre practice testing of IQIs identified improvement targets for stewardship efforts for both structure and process aspects of antibiotic care (approval system for restricted antibiotics, documentation of antibiotic plan). These results can guide the design of future PPS studies and a more extensive evaluation of the clinimetric properties of the IQIs