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Gini R, Dodd CN, Bollaerts K, Bartolini C, Roberto G, Huerta-Alvarez C, Martín-Merino E, Duarte-Salles T, Picelli G, Tramontan L, Danieli G, Correa A, McGee C, Becker BFH, Switzer C, Gandhi-Banga S, Bauwens J, van der Maas NAT, Spiteri G, Sdona E, Weibel D, Sturkenboom M. Quantifying outcome misclassification in multi-database studies: The case study of pertussis in the ADVANCE project. Vaccine 2019; 38 Suppl 2:B56-B64. [PMID: 31677950 DOI: 10.1016/j.vaccine.2019.07.045] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 05/28/2019] [Accepted: 07/10/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND The Accelerated Development of VAccine beNefit-risk Collaboration in Europe (ADVANCE) is a public-private collaboration aiming to develop and test a system for rapid benefit-risk (B/R) monitoring of vaccines using European healthcare databases. Event misclassification can result in biased estimates. Using different algorithms for identifying cases of Bordetella pertussis (BorPer) infection as a test case, we aimed to describe a strategy to quantify event misclassification, when manual chart review is not feasible. METHODS Four participating databases retrieved data from primary care (PC) setting: BIFAP: (Spain), THIN and RCGP RSC (UK) and PEDIANET (Italy); SIDIAP (Spain) retrieved data from both PC and hospital settings. BorPer algorithms were defined by healthcare setting, data domain (diagnoses, drugs, or laboratory tests) and concept sets (specific or unspecified pertussis). Algorithm- and database-specific BorPer incidence rates (IRs) were estimated in children aged 0-14 years enrolled in 2012 and 2014 and followed up until the end of each calendar year and compared with IRs of confirmed pertussis from the ECDC surveillance system (TESSy). Novel formulas were used to approximate validity indices, based on a small set of assumptions. They were applied to approximately estimate positive predictive value (PPV) and sensitivity in SIDIAP. RESULTS The number of cases and the estimated BorPer IRs per 100,000 person-years in PC, using data representing 3,173,268 person-years, were 0 (IR = 0.0), 21 (IR = 4.3), 21 (IR = 5.1), 79 (IR = 5.7), and 2 (IR = 2.3) in BIFAP, SIDIAP, THIN, RCGP RSC and PEDIANET respectively. The IRs for combined specific/unspecified pertussis were higher than TESSy, suggesting that some false positives had been included. In SIDIAP the estimated IR was 45.0 when discharge diagnoses were included. The sensitivity and PPV of combined PC specific and unspecific diagnoses for BorPer cases in SIDIAP were approximately 85% and 72%, respectively. CONCLUSION Retrieving BorPer cases using only specific concepts has low sensitivity in PC databases, while including cases retrieved by unspecified concepts introduces false positives, which were approximately estimated to be 28% in one database. The share of cases that cannot be retrieved from a PC database because they are only seen in hospital was approximately estimated to be 15% in one database. This study demonstrated that quantifying the impact of different event-finding algorithms across databases and benchmarking with disease surveillance data can provide approximate estimates of algorithm validity.
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Affiliation(s)
- Rosa Gini
- Agenzia regionale di sanità della Toscana, Osservatorio di epidemiologia, Florence, Italy.
| | - Caitlin N Dodd
- Erasmus University Medical Center, Post Box 2040, 3000 CA Rotterdam, Netherlands; Julius Global Health, University Medical Center, Utrecht, Heidelberglaan 100, the Netherlands
| | - Kaatje Bollaerts
- P95 Epidemiology and Pharmacovigilance, Koning Leopold III laan 1, 3001 Heverlee, Belgium.
| | - Claudia Bartolini
- Agenzia regionale di sanità della Toscana, Osservatorio di epidemiologia, Florence, Italy.
| | - Giuseppe Roberto
- Agenzia regionale di sanità della Toscana, Osservatorio di epidemiologia, Florence, Italy.
| | | | - Elisa Martín-Merino
- BIFAP Database, Spanish Agency of Medicines and Medical Devices, Madrid, Spain.
| | - Talita Duarte-Salles
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, Spain.
| | - Gino Picelli
- Epidemiological Information for Clinical Research from an Italian Network of Family Paediatricians (PEDIANET), Padova, Italy.
| | - Lara Tramontan
- Epidemiological Information for Clinical Research from an Italian Network of Family Paediatricians (PEDIANET), Padova, Italy; Consorzio Arsenal.IT, Veneto Region, Italy.
| | - Giorgia Danieli
- Epidemiological Information for Clinical Research from an Italian Network of Family Paediatricians (PEDIANET), Padova, Italy; Consorzio Arsenal.IT, Veneto Region, Italy
| | - Ana Correa
- University of Surrey, Guildford, Surrey GU2 7XH, UK.
| | - Chris McGee
- University of Surrey, Guildford, Surrey GU2 7XH, UK; Royal College of General Practitioners, Research and Surveillance Centre, 30 Euston Square, London NW1 2FB, UK.
| | - Benedikt F H Becker
- Erasmus University Medical Center, Post Box 2040, 3000 CA Rotterdam, Netherlands.
| | | | | | - Jorgen Bauwens
- University Children's Hospital, Basel, Switzerland; University of Basel, Switzerland; Brighton Collaboration Foundation, Switzerland.
| | | | - Gianfranco Spiteri
- European Centre for Disease Prevention and Control, Gustav III's Boulevard 40, 16973 Solna, Sweden.
| | - Emmanouela Sdona
- European Centre for Disease Prevention and Control, Gustav III's Boulevard 40, 16973 Solna, Sweden
| | - Daniel Weibel
- Erasmus University Medical Center, Post Box 2040, 3000 CA Rotterdam, Netherlands.
| | - Miriam Sturkenboom
- Julius Global Health, University Medical Center, Utrecht, Heidelberglaan 100, the Netherlands; P95 Epidemiology and Pharmacovigilance, Koning Leopold III laan 1, 3001 Heverlee, Belgium; VACCINE.GRID Foundation, Spitalstrasse 33, Basel, Switzerland.
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Yesquen P, Herrera-Perez E, Escalante-Kanashiro R. Clinical and epidemiological characteristics of whooping cough in hospitalized patients of a tertiary care hospital in Peru. Rev Bras Ter Intensiva 2019; 31:129-137. [PMID: 31141085 PMCID: PMC6649206 DOI: 10.5935/0103-507x.20190029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVE Describe the clinical and epidemiological characteristics of patients under 2 years of age hospitalized with whooping cough in a tertiary care children's hospital in Peru. METHODS This was a case series of patients under 2 years of age who were hospitalized with a diagnosis of whooping cough in 2012. RESULTS A total of 121 patients were hospitalized. Diagnostic testing (direct immunofluorescence, polymerase chain reaction, culture) was carried out in 53.72% of patients. Overall, 23.15% (n = 28) were confirmed cases, all of whom were patients less than 10 months old, and none of whom had received 3 doses of whooping cough vaccine. A total of 96.43% (n = 27) of cases were under 6 months of age, 42.86% (n = 12) were younger than 3 months, and 10.71% (n = 3) were admitted to the intensive care unit. Of these cases, all were younger than 2 months old, and one patient died. The most common symptoms in the confirmed cases were coughing (96.43%), facial redness (96.43%), paroxysmal coughing (92.86%), and coughing-related cyanosis (78.57%). The most frequent probable epidemiological contact was the mother (17.86%), and the majority of cases occurred in the summer (46.43%). CONCLUSION Whooping cough is a cause of morbidity and mortality, especially in those younger than 6 months of age and in those who are not immunized or only partially immunized. Vaccination rates should be improved and case confirmation encouraged to prevent the underdiagnosis of this disease.
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Affiliation(s)
| | | | - Raffo Escalante-Kanashiro
- Instituto Nacional de Salud del Niño - Lima,
Perú
- Universidad Peruana de Ciencias Aplicadas - Lima,
Perú
- Universidad Nacional Federico Villarreal - Lima, Perú
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Abstract
We aimed to investigate the clinicopathological features of pertussis in children admitted to a tertiary-care university hospital in Brazil.This was a retrospective cohort study of all pediatric hospital admissions with pertussis from January 1, 2008 to December 31, 2014. We also reported the autopsy findings in children who died.Fifty-five patients admitted to the hospital over the study period had laboratorial confirmation of Bordetella pertussis infection, 17 (30.9%) needed pediatric intensive care unit (PICU) admission and 6 (10.9%) died. All patients who died were younger than 60 days old and unvaccinated for pertussis; 50% of them had coinfection with respiratory syncytial virus. Leukocyte count ≥40,000/mm at hospital admission was an independent risk factor for PICU admission. Mean heart rate during hospitalization ≥160 bpm was an independent risk factor for death. A cut-off point of 41,200 leukocytes/mm at hospital admission had sensitivity of 64.7% and specificity of 89.5% to predict PICU admission (area under the curve 0.75) and sensitivity of 100% and specificity of 81.6% to predict death (area under the curve 0.93). Autopsy showed medial thickening of small pulmonary arteries in 80% of patients who had pulmonary hypertension; intravascular aggregates of leukocytes or pulmonary thrombosis were not observed. Immunohistochemical staining of tissue samples obtained at autopsy identified B pertussis and respiratory syncytial virus in pulmonary and extra-pulmonary sites.Marked leukocytosis at presentation was associated with morbidity and mortality in children hospitalized with pertussis. Implementation of preventive strategies is crucial to diminish the incidence of the disease, especially in young unimmunized infants.
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Affiliation(s)
- Fernando Palvo
- Division of Pediatric Critical Care, Department of Pediatrics
| | | | - Maria Célia Cervi
- Division of Pediatric Critical Care, Department of Pediatrics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
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