scholarly journals Baseline incidence of intussusception in early childhood before rotavirus vaccine introduction, the Netherlands, January 2008 to December 2012

2017 ◽  
Vol 22 (25) ◽  
Author(s):  
Kartini Gadroen ◽  
Jeanet M Kemmeren ◽  
Patricia CJ Bruijning-Verhagen ◽  
Sabine MJM Straus ◽  
Daniel Weibel ◽  
...  

Intussusception is a rare, potentially life-threatening condition in early childhood. It gained attention due to an unexpected association with the first rotavirus vaccine, RotaShield, which was subsequently withdrawn from the market. Across Europe, broad variations in intussusception incidence rates have been reported. This study provides a first estimate of intussusception incidence in young children in the Netherlands from 1 January 2008 to 31 December 2012, which could be used for future rotavirus safety monitoring. Our estimates are based on two different sources: electronic medical records from the primary healthcare database (IPCI), as well as administrative data from the Dutch hospital register (LBZ). The results from our study indicate a low rate of intussusception. Overall incidence rate in children < 36 months of age was 21.2 per 100,000 person-years (95% confidence interval (CI): 12.5–34.3) based on primary healthcare data and 22.6 per 100,000 person-years (95% CI: 20.9–24.4) based on hospital administrative data. The estimates suggest the upper and lower bound of the expected number of cases.

2020 ◽  
Vol 8 (1) ◽  
pp. e001224
Author(s):  
Alanna Weisman ◽  
Karen Tu ◽  
Jacqueline Young ◽  
Matthew Kumar ◽  
Peter C Austin ◽  
...  

IntroductionWe aimed to develop algorithms distinguishing type 1 diabetes (T1D) from type 2 diabetes in adults ≥18 years old using primary care electronic medical record (EMRPC) and administrative healthcare data from Ontario, Canada, and to estimate T1D prevalence and incidence.Research design and methodsThe reference population was a random sample of patients with diabetes in EMRPC whose charts were manually abstracted (n=5402). Algorithms were developed using classification trees, random forests, and rule-based methods, using electronic medical record (EMR) data, administrative data, or both. Algorithm performance was assessed in EMRPC. Administrative data algorithms were additionally evaluated using a diabetes clinic registry with endocrinologist-assigned diabetes type (n=29 371). Three algorithms were applied to the Ontario population to evaluate the minimum, moderate and maximum estimates of T1D prevalence and incidence rates between 2010 and 2017, and trends were analyzed using negative binomial regressions.ResultsOf 5402 individuals with diabetes in EMRPC, 195 had T1D. Sensitivity, specificity, positive predictive value and negative predictive value for the best performing algorithms were 80.6% (75.9–87.2), 99.8% (99.7–100), 94.9% (92.3–98.7), and 99.3% (99.1–99.5) for EMR, 51.3% (44.0–58.5), 99.5% (99.3–99.7), 79.4% (71.2–86.1), and 98.2% (97.8–98.5) for administrative data, and 87.2% (81.7–91.5), 99.9% (99.7–100), 96.6% (92.7–98.7) and 99.5% (99.3–99.7) for combined EMR and administrative data. Administrative data algorithms had similar sensitivity and specificity in the diabetes clinic registry. Of 11 499 711 adults in Ontario in 2017, there were 24 789 (0.22%, minimum estimate) to 102 140 (0.89%, maximum estimate) with T1D. Between 2010 and 2017, the age-standardized and sex-standardized prevalence rates per 1000 person-years increased (minimum estimate 1.7 to 2.56, maximum estimate 7.48 to 9.86, p<0.0001). In contrast, incidence rates decreased (minimum estimate 0.1 to 0.04, maximum estimate 0.47 to 0.09, p<0.0001).ConclusionsPrimary care EMR and administrative data algorithms performed well in identifying T1D and demonstrated increasing T1D prevalence in Ontario. These algorithms may permit the development of large, population-based cohort studies of T1D.


Author(s):  
L. Derks ◽  
H. N. Sturkenboom ◽  
M. Zaal ◽  
S. Houterman ◽  
P. Woudstra ◽  
...  

Abstract Background We aimed to evaluate the association between public media and trends in new presentations of acute coronary syndrome (ACS) during the first wave of the coronavirus disease 2019 (COVID‑19) in the Netherlands. Methods New ACS presentations per week in 73 hospitals during the first half of 2019 and 2020 were retrieved from the national organisation Dutch Hospital Data and incidence rates were calculated. Stratified analyses were performed by region, type of ACS and patient characteristics. Results After the first confirmed COVID‑19 case and during lockdown, numbers declined by up to 41% (95% confidence interval (CI): 36–47%) compared to 2019. This reduction was more pronounced for non-ST-segment elevation myocardial infarction (NSTEMI) (48%; 95% CI: 39–55%) and unstable angina (UA; 50%; 95% CI: 40–59%) than for STEMI (34%; 95% CI: 23–43%). There was no association between ACS and COVID‑19 incidence rate per region. After the steep decline, a public campaign encouraged patients not to postpone hospital visits. Numbers then increased, without a rebound effect. Trends were similar irrespective of sex, age or socio-economic status. During the outbreak, compared to coronary artery bypass graft procedures, relatively more (acute) percutaneous coronary interventions for NSTEMI and UA were performed. Conclusion New ACS presentations decreased by up to 41%. Lockdown measures and public campaigns, rather than COVID‑19 incidence, were associated with significant changes in new ACS presentations. Even though causality cannot be established, this emphasises the role of the public media and healthcare organisations in informing patients to prevent underdiagnoses of ACS and associated health damage.


2021 ◽  
Vol 184 (1) ◽  
pp. 19-28
Author(s):  
Alexander A Leung ◽  
Janice L Pasieka ◽  
Martin D Hyrcza ◽  
Danièle Pacaud ◽  
Yuan Dong ◽  
...  

Objective Despite the significant morbidity and mortality associated with pheochromocytoma and paraganglioma, little is known about their epidemiology. The primary objective was to determine the incidence of pheochromocytoma and paraganglioma in an ethnically diverse population. A secondary objective was to develop and validate algorithms for case detection using laboratory and administrative data. Design Population-based cohort study in Alberta, Canada from 2012 to 2019. Methods Patients with pheochromocytoma or paraganglioma were identified using linked administrative databases and clinical records. Annual incidence rates per 100 000 people were calculated and stratified according to age and sex. Algorithms to identify pheochromocytoma and paraganglioma, based on laboratory and administrative data, were evaluated. Results A total of 239 patients with pheochromocytoma or paraganglioma (collectively with 251 tumors) were identified from a population of 5 196 368 people over a period of 7 years. The overall incidence of pheochromocytoma or paraganglioma was 0.66 cases per 100 000 people per year. The frequency of pheochromocytoma and paraganglioma increased with age and was highest in individuals aged 60–79 years (8.85 and 14.68 cases per 100 000 people per year for males and females, respectively). An algorithm based on laboratory data (metanephrine >two-fold or normetanephrine >three-fold higher than the upper limit of normal) closely approximated the true frequency of pheochromocytoma and paraganglioma with an estimated incidence of 0.54 cases per 100 000 people per year. Conslusion The incidence of pheochromocytoma and paraganglioma in an unselected population of western Canada was unexpectedly higher than rates reported from other areas of the world.


2012 ◽  
Vol 33 (10) ◽  
pp. 1017-1023
Author(s):  
Peter M. Schneeberger ◽  
Annemarie E. Meiberg ◽  
Janet Warmelts ◽  
Sander C. A. P. Leenders ◽  
Paul T. L. van Wijk

Objective.Healthcare providers and other employees, especially those who do not work in a hospital, may not easily find help after the occurrence of a blood exposure accident. In 2006, a national call center was established in the Netherlands to fill this gap.Methods.All occupational blood exposure accidents reported to the 24-hours-per-day, 7-days-per-week call center from 2007, 2008, and 2009 were analyzed retrospectively for incidence rates, risk assessment, handling, and preventive measures taken.Results.A total of 2,927 accidents were reported. The highest incidence rates were reported for private clinics and hospitals (68.5 and 54.3 accidents per 1,000 person-years, respectively). Dental practices started reporting incidents frequently after the arrangement of a collective financial agreement with the call center. Employees of ambulance services, midwife practices, and private clinics reported mostly high-risk accidents, whereas penitentiaries frequently reported low-risk accidents. Employees in mental healthcare facilities, private clinics, and midwife practices reported accidents relatively late. The extent of hepatitis B vaccination in mental healthcare facilities, penitentiaries, occupational health services, and cleaning services was low (<70%).Conclusions.The national call center successfully organized the national registration and handling of blood exposure accidents. The risk of blood exposure accidents could be estimated on the basis of this information for several occupational branches. Targeted preventive measures for healthcare providers and other employees at risk can next be developed.Infect Control Hosp Epidemiol 2012;33(10):1017-1023


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Elina Lampi ◽  
Fredrik Carlsson ◽  
Pär-Daniel Sundvall ◽  
Marcela Jaime Torres ◽  
Peter Ulleryd ◽  
...  

Abstract Background Rational antibiotic prescribing is crucial to combat antibiotic resistance. Optimal strategies to improve antibiotic use are not known. Strama, the Swedish strategic program against antibiotic resistance, has been successful in reducing antibiotic prescription rates. This study investigates whether two specific interventions directed toward healthcare centers, an informational visit and a self-evaluation meeting, played a role in observed reduction in rates of antibiotic prescriptions in primary healthcare. Methods The study was a retrospective, observational, empirical analysis exploiting the variation in the timing of the interventions and considering past prescriptions through use of estimations from dynamic panel data models. Primary healthcare data from 2011 to 2014 were examined. Data were from public and private primary healthcare centers in western Sweden. The key variables were prescription of antibiotics and indicator variables for the two interventions. Results The first intervention, an educational information intervention, decreased the number of prescriptions among public healthcare centers, but this effect was only temporary. We found no proof that the second intervention, a self-evaluation meeting at the healthcare center, had an impact on the reduction of prescriptions. Conclusions Single educational interventions aimed at influencing rates of antibiotic prescriptions have limited impact. A multifaceted approach is needed in efforts to reduce the use of antibiotics in primary health care.


2014 ◽  
Vol 33 ◽  
pp. S1-S5 ◽  
Author(s):  
Jason M. Mwenda ◽  
Jacqueline E. Tate ◽  
A. Duncan Steele ◽  
Umesh D. Parashar

BMJ Open ◽  
2014 ◽  
Vol 4 (2) ◽  
pp. e004071 ◽  
Author(s):  
Taru Hallinen ◽  
Erkki J Soini ◽  
Christian Asseburg ◽  
Pekka Kuosmanen ◽  
Ari Laakkonen

Author(s):  
Anne-Marie Desormeaux ◽  
Eleanor Burnett ◽  
Gérard Joseph ◽  
Mentor Ali Ber Lucien ◽  
Negar Aliabadi ◽  
...  

Rotavirus is responsible for 26% of diarrheal deaths in Latin America and the Caribbean. Haiti introduced the monovalent rotavirus vaccine in April 2014. The objective of this analysis is to describe the impact of the rotavirus vaccine on hospitalizations among Haitian children younger than 5 years old during the first 5 years after introduction. This analysis includes all children with diarrhea who were enrolled as part of a sentinel surveillance system at two hospitals from May 2013 to April 2019. We compare the proportion of rotavirus-positive specimens in each post-vaccine introduction year to the pre-vaccine period. To account for the potential dilution of the proportion of rotavirus-positive specimens from a waning cholera outbreak, we also analyzed annual trends in the absolute number of positive stools, fit a two-component finite-mixture model to the negative specimens, and fit a negative binomial time series model to the pre-vaccine rotavirus-positive specimens to predict the number of rotavirus diarrhea hospital admissions in the absence of rotavirus vaccination. The overall percentage of rotavirus-positive specimens declined by 22% the first year after introduction, increased by 17% the second year, and declined by 33% to 50% the subsequent 3 years. All sensitivity analyses confirmed an overall decline. We observed a clear annual rotavirus seasonality before and after vaccine introduction, with the greatest activity in December through April, and a biennial pattern, with high sharp peaks and flatter longer periods of increased rotavirus activity in alternating years, consistent with suboptimal vaccination coverage. Overall, our study shows evidence that the introduction of the rotavirus vaccine reduced the burden of severe rotavirus diarrhea.


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