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2. The severity of pandemic H1N1 influenza in the United States, from April to July 2009: a Bayesian analysis
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Medina, W, Michelangelo, D, Milhofer, J, Milyavskaya, I, Misener, M, Mizrahi, J, Moskin, L, Motherwell, M, Myers, C, Nair, HP, Nguyen, T, Nilsen, D, Nival, J, Norton, J, Oleszko, W, Olson, C, Paladini, M, Palumbo, L, Papadopoulos, P, Parton, H, Paternostro, J, Paynter, L, Perkins, K, Perlman, S, Persaud, H, Peters, C, Pfeiffer, M, Platt, R, Pool, L, Punsalang, A, Rasul, Z, Rawlins, V, Reddy, V, Rinchiuso, A, Rodriguez, T, Rosal, R, Ryan, M, Sanderson, M, Scaccia, A, Seligson, AL, Seupersad, J, SevereDildy, J, Siddiqi, A, Siemetzki, U, Glaser, M, Girdharrie, L, Singh, T, Slavinski, S, Slopen, M, Snuggs, T, Starr, D, Stayton, C, Fung, L, Fu, J, Friedman, S, Frieden, T, France, AM, Stoute, A, Terlonge, J, Ternier, A, Thorpe, L, Travers, C, Tsoi, B, Turner, K, Tzou, J, Vines, S, Waddell, EN, Walker, D, Warner, C, Weisfuse, I, Weiss, D, WilliamsAkita, A, Wilson, E, Fitzgerald, K, Harper, S, Hasnain, Q, Hedge, S, Heller, M, Hendrickson, D, Herskovitz, A, Hinterland, K, Holmes, R, Hom, J, Hon, J, Hopke, T, Hsieh, J, Hughes, S, Immerwahr, S, Incalicchio, AM, Jasek, J, Jimenez, J, Johns, M, Jones, L, Jordan, H, Kambili, C, Kang, J, Kapell, D, Karpati, A, Kerker, B, Konty, K, Kornblum, J, Krigsman, G, Laraque, F, Layton, M, Lee, E, Lee, L, Lee, S, Lim, S, Marx, M, McGibbon, E, Mahoney, K, Marin, G, Matte, T, McAnanama, R, McKay, R, McKay, C, McVeigh, K, Medina, E, Fireteanu, AM, Fine, A, FilsAime, C, Fernandez, M, Feliciano, R, Farley, S, Evans, M, Eisenhower, D, Egger, J, Edwin, B, Edghill, Z, Wong, M, Wu, C, Yang, D, Younis, M, Yusuff, S, Zimmerman, C, Zucker, J, Eavey, J, Durrah, J, Duquaine, D, DiGrande, L, DiCaprio, K, Diaz, L, Deocharan, B, Del Cid, O, DeGrechie, S, DeGrasse, A, Darkins, B, Daniels, A, Da Costa, CA, Crouch, B, Coyle, C, Costarella, R, Corey, C, Cook, D, Cook, H, Cone, J, Cimini, D, Chamany, S, Camurati, L, Campbell, M, Cajigal, A, Cai, L, Butts, B, Burke, M, Bregman, B, Bornschlegel, K, Blank, S, Betz, J, Berger, M, Berg, D, Bell, G, Begier, E, Beaudry, G, Beatrice, ST, Barbot, O, Balter, S, Backman, P, Atamian, J, Aston, C, AgborTabi, E, Adman, G, Adamski, A, Ackelsberg, J, Lipsitch, M, Biedrzycki, P, Finelli, L, Cooper, BS, Riley, S, Reed, C, Hagy, A, De Angelis, D, Presanis, AM, Goranson, C, Griffing, F, Gupta, L, Hamilton, C, Hanson, H, HartmanO'Connell, I, and Team, The New York City Swine Flu Investigation
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medicine.medical_specialty ,Pediatrics ,Hospitalization - statistics and numerical data ,medicine.medical_treatment ,Population ,Public Health and Epidemiology/Infectious Diseases ,Influenza, Human - classification - epidemiology ,Disease Outbreaks ,03 medical and health sciences ,0302 clinical medicine ,Influenza A Virus, H1N1 Subtype ,Epidemiology ,Pandemic ,Severity of illness ,Infectious Diseases/Viral Infections ,medicine ,Credible interval ,030212 general & internal medicine ,Young adult ,education ,Mechanical ventilation ,0303 health sciences ,education.field_of_study ,030306 microbiology ,business.industry ,Incidence (epidemiology) ,virus diseases ,Bayes Theorem ,General Medicine ,3. Good health ,Medicine ,business ,Research Article - Abstract
Marc Lipsitch and colleagues use complementary data from two US cities, Milwaukee and New York City, to assess the severity of pandemic (H1N1) 2009 influenza in the United States., Background Accurate measures of the severity of pandemic (H1N1) 2009 influenza (pH1N1) are needed to assess the likely impact of an anticipated resurgence in the autumn in the Northern Hemisphere. Severity has been difficult to measure because jurisdictions with large numbers of deaths and other severe outcomes have had too many cases to assess the total number with confidence. Also, detection of severe cases may be more likely, resulting in overestimation of the severity of an average case. We sought to estimate the probabilities that symptomatic infection would lead to hospitalization, ICU admission, and death by combining data from multiple sources. Methods and Findings We used complementary data from two US cities: Milwaukee attempted to identify cases of medically attended infection whether or not they required hospitalization, while New York City focused on the identification of hospitalizations, intensive care admission or mechanical ventilation (hereafter, ICU), and deaths. New York data were used to estimate numerators for ICU and death, and two sources of data—medically attended cases in Milwaukee or self-reported influenza-like illness (ILI) in New York—were used to estimate ratios of symptomatic cases to hospitalizations. Combining these data with estimates of the fraction detected for each level of severity, we estimated the proportion of symptomatic patients who died (symptomatic case-fatality ratio, sCFR), required ICU (sCIR), and required hospitalization (sCHR), overall and by age category. Evidence, prior information, and associated uncertainty were analyzed in a Bayesian evidence synthesis framework. Using medically attended cases and estimates of the proportion of symptomatic cases medically attended, we estimated an sCFR of 0.048% (95% credible interval [CI] 0.026%–0.096%), sCIR of 0.239% (0.134%–0.458%), and sCHR of 1.44% (0.83%–2.64%). Using self-reported ILI, we obtained estimates approximately 7–9× lower. sCFR and sCIR appear to be highest in persons aged 18 y and older, and lowest in children aged 5–17 y. sCHR appears to be lowest in persons aged 5–17; our data were too sparse to allow us to determine the group in which it was the highest. Conclusions These estimates suggest that an autumn–winter pandemic wave of pH1N1 with comparable severity per case could lead to a number of deaths in the range from considerably below that associated with seasonal influenza to slightly higher, but with the greatest impact in children aged 0–4 and adults 18–64. These estimates of impact depend on assumptions about total incidence of infection and would be larger if incidence of symptomatic infection were higher or shifted toward adults, if viral virulence increased, or if suboptimal treatment resulted from stress on the health care system; numbers would decrease if the total proportion of the population symptomatically infected were lower than assumed. Please see later in the article for the Editors' Summary, Editors' Summary Background Every winter, millions of people catch influenza—a viral infection of the airways—and about half a million people die as a result. In the US alone, an average of 36,000 people are thought to die from influenza-related causes every year. These seasonal epidemics occur because small but frequent changes in the virus mean that an immune response produced one year provides only partial protection against influenza the next year. Occasionally, influenza viruses emerge that are very different and to which human populations have virtually no immunity. These viruses can start global epidemics (pandemics) that kill millions of people. Experts have been warning for some time that an influenza pandemic is long overdue and in, March 2009, the first cases of influenza caused by a new virus called pandemic (H1N1) 2009 (pH1N1; swine flu) occurred in Mexico. The virus spread rapidly and on 11 June 2009, the World Health Organization declared that a global pandemic of pH1N1 influenza was underway. By the beginning of November 2009, more than 6,000 people had died from pH1N1 influenza. Why Was This Study Done? With the onset of autumn—drier weather and the return of children to school help the influenza virus to spread—pH1N1 cases, hospitalizations, and deaths in the Northern Hemisphere have greatly increased. Although public-health officials have been preparing for this resurgence of infection, they cannot be sure of its impact on human health without knowing more about the severity of pH1N1 infections. The severity of an infection can be expressed as a case-fatality ratio (CFR; the proportion of cases that result in death), as a case-hospitalization ratio (CHR; the proportion of cases that result in hospitalization), and as a case-intensive care ratio (CIR; the proportion of cases that require treatment in an intensive care unit). Because so many people have been infected with pH1N1 since it emerged, the numbers of cases and deaths caused by pH1N1 infection are not known accurately so these ratios cannot be easily calculated. In this study, the researchers estimate the severity of pH1N1 influenza in the US between April and July 2009 by combining data on pH1N1 infections from several sources using a statistical approach known as Bayesian evidence synthesis. What Did the Researchers Do and Find? By using data on medically attended and hospitalized cases of pH1N1 infection in Milwaukee and information from New York City on hospitalizations, intensive care use, and deaths, the researchers estimate that the proportion of US cases with symptoms that died (the sCFR) during summer 2009 was 0.048%. That is, about 1 in 2,000 people who had symptoms of pH1N1 infection died. The “credible interval” for this sCFR, the range of values between which the “true” sCFR is likely to lie, they report, is 0.026%–0.096% (between 1 in 4,000 and 1 in 1,000 deaths for every symptomatic case). About 1 in 400 symptomatic cases required treatment in intensive care, they estimate, and about 1 in 70 symptomatic cases required hospital admission. When the researchers used a different approach to estimate the total number of symptomatic cases—based on New Yorkers' self-reported incidence of influenza-like-illness from a telephone survey—their estimates of pH1N1 infection severity were 7- to 9-fold lower. Finally, they report that the sCFR and the sCIR were highest in people aged 18 or older and lowest in children aged 5–17 years. What Do These Findings Mean? Many uncertainties (for example, imperfect detection and reporting) can affect estimates of influenza severity. Even so, the findings of this study suggest that an autumn–winter pandemic wave of pH1N1 will have a death toll only slightly higher than or considerably lower than that caused by seasonal influenza in an average year, provided pH1N1 continues to behave as it did during the summer. Similarly, the estimated burden on hospitals and intensive care facilities ranges from somewhat higher than in a normal influenza season to considerably lower. The findings of this study also suggest that, unlike seasonal influenza, which kills mainly elderly adults, a high proportion of deaths from pH1N1infection will occur in nonelderly adults, a shift in age distribution that has been seen in previous pandemics. With these estimates in hand and with continued close monitoring of the pandemic, public-health officials should now be in a better position to plan effective strategies to deal with the pH1N1 pandemic. Additional Information Please access these Web sites via the online version of this summary at http://dx.doi.org/10.1371/journal.pmed.1000207. The US Centers for Disease Control and Prevention provides information about influenza for patients and professionals, including specific information on pandemic H1N1 (2009) influenza Flu.gov, a US government Web site, provides access to information on H1N1, avian and pandemic influenza The World Health Organization provides information on seasonal influenza and has detailed information on pandemic H1N1 (2009) influenza (in several languages) The UK Health Protection Agency provides information on pandemic influenza and on pandemic H1N1 (2009) influenza More information for patients about H1N1 influenza is available through Choices, an information resource provided by the UK National Health Service
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- 2016
3. Additional evidence for the genomic imprinting model of sex determination in the haplodiploid wasp Nasonia vitripennis: Isolation of biparental diploid males after X-ray mutagenesis
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Trent, C., Crosby, C., and Eavey, J.
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Genomic imprinting -- Usage ,Wasps -- Genetic aspects ,Wasps -- Sexual behavior ,Sex determination, Genetic -- Research ,Biological sciences - Abstract
A study offers a new, independent line of evidence for the genomic imprinting model of sex determination in the haplodiploid wasp Nasonia vitripennis. Results provide direct evidence for a paternally inherited gene that is required for sexual development in Nasonia females and is a candidate for the primary sex-determining signal in this species.
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- 2006
4. HIV transmitted from a living organ donor--New York City, 2009
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Bernard, M.A., Eavey, J., Gortakowski, H.W., Sabharwal, C., Shepard, C., Torian, L., McMurdo, L., Smith, L.C., Valente, K., Brooks, J.T., Heneine, W.M., Joyce, M.P., Owen, S.M., Shankar, A., Switzer, W., Farnon, E., Kuehnert, M., Seem, D., Al-Samarrai, T., Gounder, P., and Kwan, C.K.
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HIV (Viruses) -- Health aspects ,Transplantation of organs, tissues, etc. -- Health aspects ,HIV testing -- Health aspects ,Infection -- Health aspects ,Public health -- Health aspects ,Disease transmission -- Health aspects ,Donation of organs, tissues, etc. -- Health aspects ,HIV infection -- Health aspects ,Health - Abstract
Routine screening of organ donors for human immunodeficiency virus (HIV) infection has made transmission of HIV through organ transplantation rare in the United States. However, despite routine screening, transmission of [...]
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- 2011
5. Patients hospitalized with 2009 pandemic influenza A(H1N1)--New York City, May 2009
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Slopen, M.E., Mosquera, M.C., Balter, S., Kerker, B.D., Marx, M.A., Pfeiffer, M.R., Fine, A., Eavey, J., Harris, T.G., Olson, E.C., Stayton, C., Wu, C., and Lee, E.H.
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New York -- Social aspects ,Swine influenza -- Distribution ,Influenza research -- 2009 AD ,Company distribution practices ,Health - Abstract
The first cases of 2009 pandemic influenza A(H1N1) in New York City occurred in April 2009, raising many questions about how best to contain the epidemic. To rapidly assess the [...]
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- 2010
6. Patients Hospitalized with 2009 Pandemic Influenza A (H1N1) -- New York City, May 2009.
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Slopen, M. E., Mosquera, M. C., Balter, S., Kerker, B. D., Marx, M. A., Pfeiffer, M. R., Fine, A., Eavey, J., Harris, T. G., Olson, E. C., Stayton, C., Wu, C., and Lee, E. H.
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HOSPITAL patients ,INFLUENZA ,H1N1 influenza ,POLYMERASE chain reaction ,PATIENTS - Abstract
The article summarizes the findings of an analysis about patients hospitalized with pandemic influenza A (H1N1) in New York City during May 2009. The subjects of the study were the first 99 patients with polymerase chain reaction-confirmed H1N1 influenza admitted to any hospital in the area from April 25 to May 24, 2009. Fever and cough were the most common presenting symptoms. In 73 patients, the underlying medical conditions known to elevate the risk of severe influenza or influenza complications were analyzed.
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- 2010
7. HIV Transmitted From a Living Organ Donor- New York City, 2009.
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Bernard, M. A., Eavey, J., Gortakowski, H. W., Sabharwal, C., Shepard, C., Torian, L., McMurdo, L., Smith, L. C., Valente, K., Brooks, J. T., Heneine, W. M., Joyce, M. P., Owen, S. M., Shankar, A., Switzer, W., Farnon, E., Kuehnert, M., Seem, D., Al-Samarrai, T., and Gounder, P.
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HIV infection transmission , *HIV infections , *ORGAN donation , *ORGAN donors - Abstract
The article discusses a report concerning the transmission of human immunodeficiency virus (HIV) from a living organ donor in New York City in 2009 which was published in a 2011 issue of "Morbidity and Mortality Weekly Report" (MMWR). It relates the case of a hemodialysis-dependent renal failure patient who was tested HIV-positive within the year that the patient was transplanted with a kidney from a living donor. The donor has been tested negative for HIV infection, hepatitis B virus and hepatitis prior to the surgery yet has had a history of syphilis and sex with fellow men. A public health investigation has been conducted in response to concerns over the possibility of transplant-transmitted HIV infection. INSETS: CDC recommendations for prevention and screening of HIV...;What is already known on this topic?.
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- 2011
8. Supplemental breast cancer screening after negative mammography in U.S. women with dense breasts.
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Foster VM, Trentham-Dietz A, Stout NK, Lee CI, Ichikawa LE, Eavey J, Henderson L, Miglioretti DL, Tosteson ANA, Bowles EA, Kerlikowske K, and Sprague BL
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The extent and determinants of supplemental screening among women with dense breasts are unclear. We evaluated a retrospective cohort of 498,855 women aged 40-74 years with heterogeneously or extremely dense breasts who obtained 1,176,251 negative screening mammography examinations during 2011-2019 in the United States. Overall, 2.8% and 0.3% of mammograms had supplemental ultrasound or MRI within one year, respectively. Onsite availability was associated with ultrasound (odds ratio [OR]=4.35; 95%CI : 4.21-4.49) but not MRI (OR = 0.94; 95%CI : 0.85-1.04). Facility academic affiliation and for-profit status were inversely associated with supplemental ultrasound (OR = 0.53; 95%CI : 0.49-0.57 and OR = 0.83; 95%CI : 0.81-0.86, respectively) and positively associated with supplemental MRI (OR = 3.04; 95%CI : 2.86-3.46 and OR = 1.88; 95%CI : 1.66-2.12, respectively). Supplemental screening was more likely to occur after passage of state-specific density notification laws than before passage (OR = 3.56; 95%CI 3.30-3.84 and OR = 1.79; 95%CI 1.60-2.00, respectively). These results show that supplemental breast imaging utilization has been uncommon and was related to facility factors and density legislation., (© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
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- 2024
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9. Performance of Supplemental US Screening in Women with Dense Breasts and Varying Breast Cancer Risk: Results from the Breast Cancer Surveillance Consortium.
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Sprague BL, Ichikawa L, Eavey J, Lowry KP, Rauscher GH, O'Meara ES, Miglioretti DL, Lee JM, Stout NK, Herschorn SD, Perry H, Weaver DL, and Kerlikowske K
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- Humans, Female, Middle Aged, Retrospective Studies, Risk Assessment, Adult, Breast diagnostic imaging, Breast pathology, United States, Aged, Mass Screening methods, Registries, Breast Neoplasms diagnostic imaging, Breast Neoplasms pathology, Breast Density, Early Detection of Cancer methods, Ultrasonography, Mammary methods
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Background It is unclear whether breast US screening outcomes for women with dense breasts vary with levels of breast cancer risk. Purpose To evaluate US screening outcomes for female patients with dense breasts and different estimated breast cancer risk levels. Materials and Methods This retrospective observational study used data from US screening examinations in female patients with heterogeneously or extremely dense breasts conducted from January 2014 to October 2020 at 24 radiology facilities within three Breast Cancer Surveillance Consortium (BCSC) registries. The primary outcomes were the cancer detection rate, false-positive biopsy recommendation rate, and positive predictive value of biopsies performed (PPV3). Risk classification of participants was performed using established BCSC risk prediction models of estimated 6-year advanced breast cancer risk and 5-year invasive breast cancer risk. Differences in high- versus low- or average-risk categories were assessed using a generalized linear model. Results In total, 34 791 US screening examinations from 26 489 female patients (mean age at screening, 53.9 years ± 9.0 [SD]) were included. The overall cancer detection rate per 1000 examinations was 2.0 (95% CI: 1.6, 2.4) and was higher in patients with high versus low or average risk of 6-year advanced breast cancer (5.5 [95% CI: 3.5, 8.6] vs 1.3 [95% CI: 1.0, 1.8], respectively; P = .003). The overall false-positive biopsy recommendation rate per 1000 examinations was 29.6 (95% CI: 22.6, 38.6) and was higher in patients with high versus low or average 6-year advanced breast cancer risk (37.0 [95% CI: 28.2, 48.4] vs 28.1 [95% CI: 20.9, 37.8], respectively; P = .04). The overall PPV3 was 6.9% (67 of 975; 95% CI: 5.3, 8.9) and was higher in patients with high versus low or average 6-year advanced cancer risk (15.0% [15 of 100; 95% CI: 9.9, 22.2] vs 4.9% [30 of 615; 95% CI: 3.3, 7.2]; P = .01). Similar patterns in outcomes were observed by 5-year invasive breast cancer risk. Conclusion The cancer detection rate and PPV3 of supplemental US screening increased with the estimated risk of advanced and invasive breast cancer. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Helbich and Kapetas in this issue.
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- 2024
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10. Sweetened Beverage Tax Implementation and Change in Body Mass Index Among Children in Seattle.
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Jones-Smith JC, Knox MA, Chakrabarti S, Wallace J, Walkinshaw L, Mooney SJ, Godwin J, Arterburn DE, Eavey J, Chan N, and Saelens BE
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- Humans, Female, Male, Child, Child, Preschool, Adolescent, Washington, Longitudinal Studies, Body Mass Index, Taxes statistics & numerical data, Sugar-Sweetened Beverages economics, Sugar-Sweetened Beverages statistics & numerical data, Pediatric Obesity prevention & control
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Importance: Sweetened beverage taxes have been associated with reduced purchasing of taxed beverages. However, few studies have assessed the association between sweetened beverage taxes and health outcomes., Objective: To evaluate the association between the Seattle sweetened beverage tax and change in body mass index (BMI) among children., Design, Setting, and Participants: In this longitudinal cohort study, anthropometric data were obtained from electronic medical records of 2 health care systems (Kaiser Permanente Washington [KP] and Seattle Children's Hospital Odessa Brown Children's Clinic [OBCC]). Children were included in the study if they were aged 2 to 18 years (between January 1, 2014, and December 31, 2019); had at least 1 weight measurement every year between 2015 and 2019; lived in Seattle or in urban areas of 3 surrounding counties (King, Pierce, and Snohomish); had not moved between taxed (Seattle) and nontaxed areas; received primary health care from KP or OBCC; did not have a recent history of cancer, bariatric surgery, or pregnancy; and had biologically plausible height and BMI (calculated as weight in kilograms divided by height in meters squared). Data analysis was conducted between August 5, 2022, and March 4, 2024., Exposure: Seattle sweetened beverage tax (1.75 cents per ounce on sweetened beverages), implemented on January 1, 2018., Main Outcomes and Measures: The primary outcome was BMIp95 (BMI expressed as a percentage of the 95th percentile; a newly recommended metric for assessing BMI change) of the reference population for age and sex, using the Centers for Disease Control and Prevention growth charts. In the primary (synthetic difference-in-differences [SDID]) model used, a comparison sample was created by reweighting the comparison sample to optimize on matching to pretax trends in outcome among 6313 children in Seattle. Secondary models were within-person change models using 1 pretax measurement and 1 posttax measurement in 22 779 children and fine stratification weights to balance baseline individual and neighborhood-level confounders., Results: The primary SDID analysis included 6313 children (3041 female [48%] and 3272 male [52%]). More than a third of children (2383 [38%]) were aged 2 to 5 years); their mean (SE) age was 7.7 (0.6) years. With regard to race and ethnicity, 789 children (13%) were Asian, 631 (10%) were Black, 649 (10%) were Hispanic, and 3158 (50%) were White. The primary model results suggested that the Seattle tax was associated with a larger decrease in BMIp95 for children living in Seattle compared with those living in the comparison area (SDID: -0.90 percentage points [95% CI, -1.20 to -0.60]; P < .001). Results from secondary models were similar., Conclusions and Relevance: The findings of this cohort study suggest that the Seattle sweetened beverage tax was associated with a modest decrease in BMIp95 among children living in Seattle compared with children living in nearby nontaxed areas who were receiving care within the same health care systems. Taken together with existing studies in the US, these results suggest that sweetened beverage taxes may be an effective policy for improving children's BMI. Future research should test this association using longitudinal data in other US cities with sweetened beverage taxes.
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- 2024
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11. Breast cancer risk characteristics of women undergoing whole-breast ultrasound screening versus mammography alone.
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Sprague BL, Ichikawa L, Eavey J, Lowry KP, Rauscher G, O'Meara ES, Miglioretti DL, Chen S, Lee JM, Stout NK, Mandelblatt JS, Alsheik N, Herschorn SD, Perry H, Weaver DL, and Kerlikowske K
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- Female, Humans, Early Detection of Cancer methods, Mammography methods, Risk Factors, Ultrasonography, Mammary, Mass Screening methods, Breast Density, Breast Neoplasms diagnostic imaging, Breast Neoplasms epidemiology
- Abstract
Background: There are no consensus guidelines for supplemental breast cancer screening with whole-breast ultrasound. However, criteria for women at high risk of mammography screening failures (interval invasive cancer or advanced cancer) have been identified. Mammography screening failure risk was evaluated among women undergoing supplemental ultrasound screening in clinical practice compared with women undergoing mammography alone., Methods: A total of 38,166 screening ultrasounds and 825,360 screening mammograms without supplemental screening were identified during 2014-2020 within three Breast Cancer Surveillance Consortium (BCSC) registries. Risk of interval invasive cancer and advanced cancer were determined using BCSC prediction models. High interval invasive breast cancer risk was defined as heterogeneously dense breasts and BCSC 5-year breast cancer risk ≥2.5% or extremely dense breasts and BCSC 5-year breast cancer risk ≥1.67%. Intermediate/high advanced cancer risk was defined as BCSC 6-year advanced breast cancer risk ≥0.38%., Results: A total of 95.3% of 38,166 ultrasounds were among women with heterogeneously or extremely dense breasts, compared with 41.8% of 825,360 screening mammograms without supplemental screening (p < .0001). Among women with dense breasts, high interval invasive breast cancer risk was prevalent in 23.7% of screening ultrasounds compared with 18.5% of screening mammograms without supplemental imaging (adjusted odds ratio, 1.35; 95% CI, 1.30-1.39); intermediate/high advanced cancer risk was prevalent in 32.0% of screening ultrasounds versus 30.5% of screening mammograms without supplemental screening (adjusted odds ratio, 0.91; 95% CI, 0.89-0.94)., Conclusions: Ultrasound screening was highly targeted to women with dense breasts, but only a modest proportion were at high mammography screening failure risk. A clinically significant proportion of women undergoing mammography screening alone were at high mammography screening failure risk., (© 2023 The Authors. Cancer published by Wiley Periodicals LLC on behalf of American Cancer Society.)
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- 2023
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12. Multilevel Factors Associated With Time to Biopsy After Abnormal Screening Mammography Results by Race and Ethnicity.
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Lawson MB, Bissell MCS, Miglioretti DL, Eavey J, Chapman CH, Mandelblatt JS, Onega T, Henderson LM, Rauscher GH, Kerlikowske K, Sprague BL, Bowles EJA, Gard CC, Parsian S, and Lee CI
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- Cohort Studies, Delayed Diagnosis, Early Detection of Cancer methods, Ethnicity, Female, Humans, Mass Screening methods, Prospective Studies, Breast Neoplasms diagnostic imaging, Mammography methods
- Abstract
Importance: Diagnostic delays in breast cancer detection may be associated with later-stage disease and higher anxiety, but data on multilevel factors associated with diagnostic delay are limited., Objective: To evaluate individual-, neighborhood-, and health care-level factors associated with differences in time from abnormal screening to biopsy among racial and ethnic groups., Design, Setting, and Participants: This prospective cohort study used data from women aged 40 to 79 years who had abnormal results in screening mammograms conducted in 109 imaging facilities across 6 US states between 2009 and 2019. Data were analyzed from February 21 to November 4, 2021., Exposures: Individual-level factors included self-reported race and ethnicity, age, family history of breast cancer, breast density, previous breast biopsy, and time since last mammogram; neighborhood-level factors included geocoded education and income based on residential zip codes and rurality; and health care-level factors included mammogram modality, screening facility academic affiliation, and facility onsite biopsy service availability. Data were also assessed by examination year., Main Outcome and Measures: The main outcome was unadjusted and adjusted relative risk (RR) of no biopsy within 30, 60, and 90 days using sequential log-binomial regression models. A secondary outcome was unadjusted and adjusted median time to biopsy using accelerated failure time models., Results: A total of 45 186 women (median [IQR] age at screening, 56 [48-65] years) with 46 185 screening mammograms with abnormal results were included. Of screening mammograms with abnormal results recommended for biopsy, 15 969 (34.6%) were not resolved within 30 days, 7493 (16.2%) were not resolved within 60 days, and 5634 (12.2%) were not resolved within 90 days. Compared with White women, there was increased risk of no biopsy within 30 and 60 days for Asian (30 days: RR, 1.66; 95% CI, 1.31-2.10; 60 days: RR, 1.58; 95% CI, 1.15-2.18), Black (30 days: RR, 1.52; 95% CI, 1.30-1.78; 60 days: 1.39; 95% CI, 1.22-1.60), and Hispanic (30 days: RR, 1.50; 95% CI, 1.24-1.81; 60 days: 1.38; 95% CI, 1.11-1.71) women; however, the unadjusted risk of no biopsy within 90 days only persisted significantly for Black women (RR, 1.28; 95% CI, 1.11-1.47). Sequential adjustment for selected individual-, neighborhood-, and health care-level factors, exclusive of screening facility, did not substantially change the risk of no biopsy within 90 days for Black women (RR, 1.27; 95% CI, 1.12-1.44). After additionally adjusting for screening facility, the increased risk for Black women persisted but showed a modest decrease (RR, 1.20; 95% CI, 1.08-1.34)., Conclusions and Relevance: In this cohort study involving a diverse cohort of US women recommended for biopsy after abnormal results on screening mammography, Black women were the most likely to experience delays to diagnostic resolution after adjusting for multilevel factors. These results suggest that adjustment for multilevel factors did not entirely account for differences in time to breast biopsy, but unmeasured factors, such as systemic racism and other health care system factors, may impact timely diagnosis.
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- 2022
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13. Obstructive sleep apnea and risk of motor vehicle accident.
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Pocobelli G, Akosile MA, Hansen RN, Eavey J, Wellman RD, Johnson RL, Carls G, Bron M, and Dublin S
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- Accidents, Traffic, Cohort Studies, Humans, Motor Vehicles, Risk Factors, Sleep Apnea, Obstructive epidemiology
- Abstract
Objective: To evaluate the association between obstructive sleep apnea (OSA) and risk of motor vehicle accident (MVA)., Methods: We conducted a cohort study at Kaiser Permanente Washington using electronic health plan data and linked Washington State Department of Transportation MVA records. We included persons 18-79 years of age during 2005-2014. OSA was ascertained via diagnosis codes. The primary outcome, first MVA during cohort follow-up, was ascertained from state MVA records. Risk factors for MVAs, including medical conditions and medication use, were ascertained from health plan data. Multivariable Cox proportional hazards models were used to estimate the adjusted hazard ratio (HR) and 95% confidence interval (CI) for the association between OSA and study outcomes., Results: Among the 879,547 eligible persons, the unadjusted rate of MVA in those with and without OSA was 238 and 229 per 10,000 person-years, respectively. A diagnosis of OSA was associated with a 17% increased risk of MVA (adjusted HR = 1.17; 95% CI: 1.13 to 1.20)., Conclusion: In this large population-based study, a diagnosis of OSA was associated with a modestly increased risk of MVA., (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)
- Published
- 2021
- Full Text
- View/download PDF
14. Comorbidity Index Score Increases Due to Coding Artifacts.
- Author
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Eavey J, Ramaprasan A, Abraham L, and Buist DSM
- Subjects
- Artifacts, Humans, Clinical Coding, Comorbidity
- Published
- 2020
- Full Text
- View/download PDF
15. Adolescent vaccine co-administration and coverage in New York City: 2007-2013.
- Author
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Sull M, Eavey J, Papadouka V, Mandell R, Hansen MA, and Zucker JR
- Subjects
- Adolescent, Cohort Studies, Diphtheria-Tetanus-Pertussis Vaccine administration & dosage, Female, Humans, Immunization, Secondary trends, Male, Meningococcal Vaccines administration & dosage, New York City, Papillomavirus Vaccines administration & dosage, Mass Vaccination trends, Urban Population, Vaccines, Combined administration & dosage
- Abstract
Objectives: To investigate adolescent vaccination in New York City, we assessed tetanus, diphtheria, and acellular pertussis (Tdap), meningococcal conjugate (MCV4), and human papillomavirus (HPV) vaccine uptake, vaccine co-administration, and catch-up coverage over time., Methods: We analyzed data from the Citywide Immunization Registry, a population-based immunization information system, to measure vaccine uptake and co-administration, defined as a Tdap vaccination visit where MCV4 or HPV vaccine was co-administered, among 11-year-olds. Catch-up vaccinations were evaluated through 2013 for adolescents born 1996 to 2000, by birth cohort. HPV vaccination among boys included data from 2010 to 2013., Results: Adolescent vaccine administration was greatest during the back-to-school months of August to October and was highest for Tdap. Although MCV4 uptake improved over the study years, HPV vaccine uptake among girls stagnated; boys achieved similar uptake of HPV vaccine by 2012. By 2013, 65.4% had MCV4 co-administered with Tdap vaccine, whereas 28.4% of girls and 25.9% of boys had their first dose of HPV vaccine co-administered. By age 17, Tdap and MCV4 vaccination coverage increased to 97.5% and 92.8%, respectively, whereas ≥1-dose and 3-dose HPV vaccination coverage were, respectively, 77.5% and 53.1% for girls and 49.3% and 21.6% for boys. Age-specific vaccination coverage increased with each successive birth cohort (P < .001)., Conclusions: From 2007 to 2013, there were greater improvements in Tdap and MCV4 vaccination than HPV vaccination, for which co-administration with Tdap vaccine and coverage through adolescence remained lower. Parent and provider outreach efforts should promote timely HPV vaccination for all adolescents and vaccine co-administration., (Copyright © 2014 by the American Academy of Pediatrics.)
- Published
- 2014
- Full Text
- View/download PDF
16. Post-Katrina mortality in the greater New Orleans area, Louisiana.
- Author
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Eavey J and Ratard RC
- Subjects
- Cyclonic Storms, Humans, International Classification of Diseases, New Orleans, Time Factors, Cause of Death trends
- Abstract
Objectives: Death rates in the Greater New Orleans area were examined by month from 2002 to 2006 to assess whether mortality increased after Hurricane Katrina., Methods: Finalized death data from the Louisiana Office of Vital Statistics and the most recent population estimates were used to calculate annual mortality rates in the Greater New Orleans area by month for 2002-2006. Causes of death were also examined for changes., Results: There was no significant increase in the death rates in the Greater New Orleans area post-Katrina. The only excesses were seen in Orleans Parish from January to June 2006. In the latter months of 2006, rates decreased to those of previous years. Mortality rates for the Greater New Orleans (GNO) area during the same time period showed no increase. In the first months of 2006, deaths due to septicemia and accidents increased significantly in Orleans Parish and returned to normal in the latter half of 2006. Causes of death in the GNO area showed no significant change after Katrina., Conclusions: There was no significant or lasting increase in morality rates in the Greater New Orleans area following Hurricane Katrina.
- Published
- 2008
17. Creutzfeldt-Jakob disease in Louisiana, 1980-2006.
- Author
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Eavey J, Sokol T, Straif-Bourgeois S, and Ratard RC
- Subjects
- Adult, Aged, Creutzfeldt-Jakob Syndrome history, Creutzfeldt-Jakob Syndrome transmission, Epidemiologic Studies, Female, History, 20th Century, History, 21st Century, Humans, Incidence, Louisiana epidemiology, Male, Population Surveillance, Risk Factors, Creutzfeldt-Jakob Syndrome epidemiology
- Published
- 2007
18. Group B streptococcal infections in Louisiana.
- Author
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Eavey J and Ratard RC
- Subjects
- Adolescent, Adult, Age Distribution, Aged, Carrier State diagnosis, Carrier State epidemiology, Child, Female, Humans, Infant, Infant, Newborn, Infectious Disease Transmission, Vertical prevention & control, Louisiana epidemiology, Male, Mass Screening, Middle Aged, Pregnancy, Pregnancy Complications, Infectious epidemiology, Pregnancy Complications, Infectious prevention & control, Risk, Streptococcal Infections mortality, Streptococcal Infections prevention & control, Streptococcal Infections transmission, Streptococcal Infections epidemiology, Streptococcus agalactiae
- Published
- 2007
19. Childhood immunization rates in Louisiana: trends from 1995-2004.
- Author
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Eavey J, Tapia R, Sokol T, and Ratard R
- Subjects
- Centers for Disease Control and Prevention, U.S., Child, Preschool, Female, Health Care Surveys, Humans, Louisiana, Male, Program Evaluation, United States, Child Health Services statistics & numerical data, Immunization Programs statistics & numerical data, Vaccination statistics & numerical data, Vaccines administration & dosage
- Abstract
Immunization is an invaluable tool in preventing the morbidity and mortality associated with many infectious diseases. The CDC currently recommends that children obtain immunizations against 11 diseases. We examined immunization rates in Louisiana children aged 19-35 months from 1995-2003 and compared these rates with the rates in neighboring states and the national coverage rate. Coverage rates were affected by the number of vaccinations in a series and the year of life at which the vaccines are received. We also found discrepancies in coverage rates of immunizations that should be given simultaneously. While Louisiana coverage rates have improved after a dip in 2001, we suggest steps to help physicians further improve coverage rates.
- Published
- 2006
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