Last data update: May 13, 2024. (Total: 46773 publications since 2009)
Records 1-8 (of 8 Records) |
Query Trace: Panozzo CA[original query] |
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Vaccine Safety Datalink infrastructure enhancements for evaluating the safety of maternal vaccination
Naleway AL , Crane B , Irving SA , Bachman D , Vesco KK , Daley MF , Getahun D , Glenn SC , Hambidge SJ , Jackson LA , Klein NP , McCarthy NL , McClure DL , Panagiotakopoulos L , Panozzo CA , Vazquez-Benitez G , Weintraub ES , Zerbo O , Kharbanda EO . Ther Adv Drug Saf 2021 12 20420986211021233 Background: Identifying pregnancy episodes and accurately estimating their beginning and end dates are imperative for observational maternal vaccine safety studies using electronic health record (EHR) data. Methods: We modified the Vaccine Safety Datalink (VSD) Pregnancy Episode Algorithm (PEA) to include both the International Classification of Disease, ninth revision (ICD-9 system) and ICD-10 diagnosis codes, incorporated additional gestational age data, and validated this enhanced algorithm with manual medical record review. We also developed the new Dynamic Pregnancy Algorithm (DPA) to identify pregnancy episodes in real time. Results: Around 75% of the pregnancy episodes identified by the enhanced VSD PEA were live births, 12% were spontaneous abortions (SABs), 10% were induced abortions (IABs), and 0.4% were stillbirths (SBs). Gestational age was identified for 99% of live births, 89% of SBs, 69% of SABs, and 42% of IABs. Agreement between the PEA-assigned and abstractor-identified pregnancy outcome and outcome date was 100% for live births, but was lower for pregnancy losses. When gestational age was available in the medical record, the agreement was higher for live births (97%), but lower for pregnancy losses (75%). The DPA demonstrated strong concordance with the PEA and identified pregnancy episodes ⩾6 months prior to the outcome date for 89% of live births. Conclusion: The enhanced VSD PEA is a useful tool for identifying pregnancy episodes in EHR databases. The DPA improves the timeliness of pregnancy identification and can be used for near real-time maternal vaccine safety studies. Plain Language Summary: Improving identification of pregnancies in the Vaccine Safety Datalink electronic medical record databases to allow for better and faster monitoring of vaccination safety during pregnancy Introduction: It is important to monitor of the safety of vaccines after they have been approved and licensed by the Food and Drug Administration, especially among women vaccinated during pregnancy. The Vaccine Safety Datalink (VSD) monitors vaccine safety through observational studies within large databases of electronic medical records. Since 2012, VSD researchers have used an algorithm called the Pregnancy Episode Algorithm (PEA) to identify the medical records of women who have been pregnant. Researchers then use these medical records to study whether receiving a particular vaccine is linked to any negative outcomes for the woman or her child. Methods: The goal of this study was to update and enhance the PEA to include the full set of medical record diagnostic codes [both from the older International Classification of Disease, ninth revision (ICD-9 system) and the newer ICD-10 system] and to incorporate additional sources of data about gestational age. To ensure the validity of the PEA following these enhancements, we manually reviewed medical records and compared the results with the algorithm. We also developed a new algorithm, the Dynamic Pregnancy Algorithm (DPA), to identify women earlier in pregnancy, allowing us to conduct more timely vaccine safety assessments. Results: The new version of the PEA identified 2,485,410 pregnancies in the VSD database. The enhanced algorithm more precisely estimated the beginning of pregnancies, especially those that did not result in live births, due to the new sources of gestational age data. Conclusion: Our new algorithm, the DPA, was successful at identifying pregnancies earlier in gestation than the PEA. The enhanced PEA and the new DPA will allow us to better evaluate the safety of current and future vaccinations administered during or around the time of pregnancy. © The Author(s), 2021. |
Developing algorithms for identifying major structural birth defects using automated electronic health data
Kharbanda EO , Vazquez-Benitez G , DeSilva MB , Spaulding AB , Daley MF , Naleway AL , Irving SA , Klein NP , Tseng HF , Jackson LA , Hambidge SJ , Olaiya O , Panozzo CA , Myers TR , Romitti PA . Pharmacoepidemiol Drug Saf 2020 30 (2) 266-274 PURPOSE: Given the 2015 transition to International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) diagnostic coding, updates to our previously published algorithms for major structural birth defects (BDs) were necessary. Aims of this study were to update, validate, and refine algorithms for identifying selected BDs, and then to use these algorithms to describe BD prevalence in the Vaccine Safety Datalink (VSD) population. METHODS: We converted our ICD-9-CM list of selected BDs to ICD-10-CM using available crosswalks with manual review of codes. We identified, chart reviewed, and adjudicated a sample of infants in the VSD with ≥2 ICD-10-CM diagnoses for one of seven common BDs. Positive predictive values (PPVs) were calculated; for BDs with sub-optimal PPV, algorithms were refined. Final automated algorithms were applied to a cohort of live births delivered 10/1/2015-9/30/2017 at eight VSD sites to estimate BD prevalence. RESULTS: Of 573 infants with ≥2 diagnoses for a targeted BD, on adjudication, we classified 399 (69.6%) as probable cases, 31 (5.4%) as possible cases and 143 (25.0%) as not having the targeted BD. PPVs for the final BD algorithms ranged from 0.76 (hypospadias) to 1.0 (gastroschisis). Among 212,857 births over two years following transition to ICD-10-CM coding, prevalence for the full list of selected defects in the VSD was 1.8%. CONCLUSIONS: Algorithms can identify infants with selected BDs using automated healthcare data with reasonable accuracy. Our updated algorithms can be used in observational studies of maternal vaccine safety and may be adapted for use in other surveillance systems. |
Remarkable postvaccination spatiotemporal changes in United States rotavirus activity
Curns AT , Panozzo CA , Tate JE , Payne DC , Patel MM , Cortese MM , Parashar UD . Pediatr Infect Dis J 2011 30 S54-5 Analyses of US laboratory surveillance data during 1991 to 2004 established annual peak rotavirus activity occurred first in the Southwest and last in the Northeast. We compared spatiotemporal patterns during the 2 years preceding vaccine introduction in 2006 with the first 2 years following introduction. The postvaccine introduction years failed to demonstrate the typical Southwest to Northeast spread of rotavirus activity. |
Sustained decline in rotavirus detections in the United States following the introduction of rotavirus vaccine in 2006
Tate JE , Mutuc JD , Panozzo CA , Payne DC , Cortese MM , Cortes JE , Yen C , Esposito DH , Lopman BA , Patel MM , Parashar UD . Pediatr Infect Dis J 2011 30 S30-4 BACKGROUND: Following implementation of the rotavirus vaccination program in 2006, rotavirus activity in the United States declined dramatically in 2007-2008 but increased slightly in 2008-2009, despite greater vaccine uptake. To further evaluate impact of the vaccine program, we assessed trends in rotavirus testing and detection during 2009-2010. METHODS: We examined rotavirus testing data from July 2000 to June 2010 from the National Respiratory and Enteric Viruses Surveillance System to compare rotavirus season timing and peak activity in the pre- and postvaccine introduction eras. Rotavirus season onset was defined as the first of 2 consecutive weeks during which the percentage of specimens testing positive for rotavirus was ≥ 10%. To assess trends in rotavirus testing and detection, we restricted the analyses to 25 laboratories that reported for ≥ 26 weeks per season from 2000 to 2010. RESULTS: During 2009-2010, the threshold for the start of the rotavirus season was never achieved nationally or in the North, Midwest, or West. Activity in the South met this threshold but the season duration was substantially shorter and of lower magnitude than in all previous pre- and postvaccine introduction seasons. Nationally and within each region, the peak week was more delayed and the peak proportion of positive tests was substantially lower than all previous seasons. The total number of tests performed declined by 23%, and the number of positive tests declined by 86%. CONCLUSIONS: Rotavirus activity was substantially diminished during the 2009-2010 rotavirus season compared with the prevaccine baseline and the 2 previous postvaccine introduction seasons. These sustained declines over 3 rotavirus seasons reaffirm the health benefits of the US rotavirus vaccination program. |
Use of respiratory syncytial virus surveillance data to optimize the timing of immunoprophylaxis
Panozzo CA , Stockman LJ , Curns AT , Anderson LJ . Pediatrics 2010 126 (1) e116-23 OBJECTIVE: For children in the United States who are at high risk for severe respiratory syncytial virus (RSV) infection, the American Academy of Pediatrics (AAP) recommends administering immunoprophylaxis during the RSV season. We present an approach to using surveillance data to help guide application of AAP recommendations for immunoprophylaxis to local patterns of RSV outbreaks. METHODS: We analyzed data from laboratories that report consistently to the National Respiratory and Enteric Virus Surveillance System from 1992 to 2007. Local RSV seasons were defined and an immunoprophylaxis schedule was determined by using the median onset dates from each laboratory during 2002-2007. We applied these dates to 10 preceding years of RSV detection data. We compared how well the 5-year median-based method and a fixed date method were able to match the timing of immunoprophylaxis to the RSV season. RESULTS: Nineteen laboratories met our inclusion criteria and generally experienced only 1 RSV outbreak per season. Five years of data gave similar median onset/offset dates and season duration, as did 10 years and 15 years of data. The 5-year median schedule increased the number of seasons that children were protected at the season onset by 15% compared with a fixed start date of November 1 and identified communities that experienced RSV seasons with extended durations. CONCLUSIONS: The 5-year median method can be used to characterize timing of RSV seasons and optimally apply the current AAP recommendations for timing of palivizumab prophylaxis to the local community. |
Outbreak of pneumonia associated with emergent human adenovirus serotype 14 - Southeast Alaska, 2008
Esposito DH , Gardner TJ , Schneider E , Stockman LJ , Tate JE , Panozzo CA , Robbins CL , Jenkerson SA , Thomas L , Watson CM , Curns AT , Erdman DD , Lu X , Cromeans T , Westcott M , Humphries C , Ballantyne J , Fischer GE , McLaughlin JB , Armstrong G , Anderson LJ . J Infect Dis 2010 202 (2) 214-22 BACKGROUND: In September 2008, an outbreak of pneumonia associated with an emerging human adenovirus (human adenovirus serotype 14 [HAdV-14]) occurred on a rural Southeast Alaska island. Nine patients required hospitalization, and 1 patient died. METHODS: To investigate the outbreak, pneumonia case patients were matched to control participants on the basis of age, sex, and community of residence. Participants in the investigation and their household contacts were interviewed, and serum samples and respiratory tract specimens were collected. Risk factors were evaluated by means of conditional logistic regression. RESULTS: Among 32 pneumonia case patients, 21 (65%) had confirmed or probable HAdV-14 infection. None of 32 matched control participants had evidence of HAdV-14 infection ([Formula: see text] for the difference). Factors independently associated with pneumonia included contact with a known HAdV-14-infected case patient (odds ratio [OR], 18.3 [95% confidence interval {CI}, 2.0]), current smoking (OR, 6.7 [95% CI, 0.9]), and having neither traveled off the island nor attended a large public gathering (OR, 14.7 [95% CI, 2.0]). Fourteen (67%) of 21 HAdV-14-positive case patients belonged to a single network of people who socialized and often smoked together and infrequently traveled off the island. HAdV-14 infection occurred in 43% of case-patient household contacts, compared with 5% of control-participant household contacts ([Formula: see text]) CONCLUSIONS: During a community outbreak in Alaska, HAdV-14 appeared to have spread mostly among close contacts and not widely in the community. Demographic characteristics and illness patterns among the case patients were similar to those observed in other recent outbreaks of HAdV-14 infection in the United States. |
Demographic variability, vaccination, and the spatiotemporal dynamics of rotavirus epidemics
Pitzer VE , Viboud C , Simonsen L , Steiner C , Panozzo CA , Alonso WJ , Miller MA , Glass RI , Glasser JW , Parashar UD , Grenfell BT . Science 2009 325 (5938) 290-4 Historically, annual rotavirus activity in the United States has started in the southwest in late fall and ended in the northeast 3 months later; this trend has diminished in recent years. Traveling waves of infection or local environmental drivers cannot account for these patterns. A transmission model calibrated against epidemiological data shows that spatiotemporal variation in birth rate can explain the timing of rotavirus epidemics. The recent large-scale introduction of rotavirus vaccination provides a natural experiment to further test the impact of susceptible recruitment on disease dynamics. The model predicts a pattern of reduced and lagged epidemics postvaccination, closely matching the observed dynamics. Armed with this validated model, we explore the relative importance of direct and indirect protection, a key issue in determining the worldwide benefits of vaccination. |
Decline and change in seasonality of US rotavirus activity after the introduction of rotavirus vaccine
Tate JE , Panozzo CA , Payne DC , Patel MM , Cortese MM , Fowlkes AL , Parashar UD . Pediatrics 2009 124 (2) 465-71 BACKGROUND: In 2006, routine immunization of US infants against rotavirus was initiated. We assessed national, regional, and local trends in rotavirus testing and detection before and after vaccine introduction. METHODS: We examined data for July 2000 through June 2008 from a national network of approximately 70 US laboratories to compare geographical and temporal aspects of rotavirus season timing and peak activity. To assess trends in rotavirus testing and detection, we restricted the analyses to 33 laboratories that reported for >or=26 weeks per season from 2000 to 2008. RESULTS: Nationally, the onset and peak of the 2007-2008 rotavirus season were delayed 15 and 8 weeks, respectively, compared with prevaccine seasons from 2000-2006. Delays were observed in each region. The 2007-2008 rotavirus season lasted 14 weeks compared with a median of 26 weeks during the prevaccine era. Of 33 laboratories, 32 reported fewer positive results and a lower proportion of positive test results in 2007-2008 compared with the median in 2000-2006, with a 67% decline in the number and a 69% decline in the proportion of rotavirus-positive test results. The proportion of positive test results in 2007-2008 compared with the median in 2000-2006 declined >50% in 79% of the laboratories and >75% in 39% of the laboratories. CONCLUSIONS: The 2007-2008 US rotavirus season seems substantially delayed, shorter, and diminished in magnitude compared with seasons before vaccine implementation. The extent of change seems greater than expected on the basis of estimated vaccine coverage, suggesting indirect benefits to unvaccinated individuals. Monitoring in future seasons is needed to confirm these trends. |
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- Page last updated:May 13, 2024
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