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Igboh LS, Roguski K, Marcenac P, Emukule GO, Charles MD, Tempia S, Herring B, Vandemaele K, Moen A, Olsen SJ, Wentworth DE, Kondor R, Mott JA, Hirve S, Bresee JS, Mangtani P, Nguipdop-Djomo P, Azziz-Baumgartner E. Timing of seasonal influenza epidemics for 25 countries in Africa during 2010-19: a retrospective analysis. Lancet Glob Health 2023; 11:e729-e739. [PMID: 37061311 PMCID: PMC10126228 DOI: 10.1016/s2214-109x(23)00109-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 02/06/2023] [Accepted: 02/20/2023] [Indexed: 04/17/2023]
Abstract
BACKGROUND Using country-specific surveillance data to describe influenza epidemic activity could inform decisions on the timing of influenza vaccination. We analysed surveillance data from African countries to characterise the timing of seasonal influenza epidemics to inform national vaccination strategies. METHODS We used publicly available sentinel data from African countries reporting to the WHO Global Influenza Surveillance and Response FluNet platform that had 3-10 years of data collected during 2010-19. We calculated a 3-week moving proportion of samples positive for influenza virus and assessed epidemic timing using an aggregate average method. The start and end of each epidemic were defined as the first week when the proportion of positive samples exceeded or went below the annual mean, respectively, for at least 3 consecutive weeks. We categorised countries into five epidemic patterns: northern hemisphere-dominant, with epidemics occurring in October-March; southern hemisphere-dominant, with epidemics occurring in April-September; primarily northern hemisphere with some epidemic activity in southern hemisphere months; primarily southern hemisphere with some epidemic activity in northern hemisphere months; and year-round influenza transmission without a discernible northern hemisphere or southern hemisphere predominance (no clear pattern). FINDINGS Of the 34 countries reporting data to FluNet, 25 had at least 3 years of data, representing 46% of the countries in Africa and 89% of Africa's population. Study countries reported RT-PCR respiratory virus results for a total of 503 609 specimens (median 12 971 [IQR 9607-20 960] per country-year), of which 74 001 (15%; median 2078 [IQR 1087-3008] per country-year) were positive for influenza viruses. 248 epidemics occurred across 236 country-years of data (median 10 [range 7-10] per country). Six (24%) countries had a northern hemisphere pattern (Algeria, Burkina Faso, Egypt, Morocco, Niger, and Tunisia). Eight (32%) had a primarily northern hemisphere pattern with some southern hemisphere epidemics (Cameroon, Ethiopia, Mali, Mozambique, Nigeria, Senegal, Tanzania, and Togo). Three (12%) had a primarily southern hemisphere pattern with some northern hemisphere epidemics (Ghana, Kenya, and Uganda). Three (12%) had a southern hemisphere pattern (Central African Republic, South Africa, and Zambia). Five (20%) had no clear pattern (Côte d'Ivoire, DR Congo, Madagascar, Mauritius, and Rwanda). INTERPRETATION Most countries had identifiable influenza epidemic periods that could be used to inform authorities of non-seasonal and seasonal influenza activity, guide vaccine timing, and promote timely interventions. FUNDING None. TRANSLATIONS For the Berber, Luganda, Xhosa, Chewa, Yoruba, Igbo, Hausa and Afan Oromo translations of the abstract see Supplementary Materials section.
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Affiliation(s)
- Ledor S Igboh
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Immunization Systems Branch, Global Immunization Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Katherine Roguski
- National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Perrine Marcenac
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Myrna D Charles
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Stefano Tempia
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Department of Infectious Hazard Management, World Health Organization, Geneva, Switzerland
| | - Belinda Herring
- World Health Organization-Regional Office for Africa, Brazzaville, Congo
| | - Katelijn Vandemaele
- Department of Infectious Hazard Management, World Health Organization, Geneva, Switzerland
| | - Ann Moen
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sonja J Olsen
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - David E Wentworth
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Rebecca Kondor
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Josh A Mott
- Department of Infectious Hazard Management, World Health Organization, Geneva, Switzerland
| | - Siddhivinayak Hirve
- Department of Infectious Hazard Management, World Health Organization, Geneva, Switzerland
| | | | - Punam Mangtani
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Patrick Nguipdop-Djomo
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Eduardo Azziz-Baumgartner
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
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2
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Narayan VV, Iuliano AD, Roguski K, Bhardwaj R, Chadha M, Saha S, Haldar P, Kumar R, Sreenivas V, Kant S, Bresee J, Jain S, Krishnan A. Burden of influenza-associated respiratory and circulatory mortality in India, 2010-2013. J Glob Health 2020; 10:010402. [PMID: 32373326 PMCID: PMC7182391 DOI: 10.7189/jogh.10.010402] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Background Influenza causes substantial morbidity and mortality worldwide, however, reliable burden estimates from developing countries are limited, including India. We aimed to quantify influenza-associated mortality for India utilizing 2010-2013 nationally representative data sources for influenza virus circulation and deaths. Methods Virological data were obtained from the influenza surveillance network of 10 laboratories led by National Institute of Virology, Pune covering eight states from 2010-2013. Death data were obtained from the nationally representative Sample Registration System for the same time period. Generalized linear regression with negative binomial distribution was used to model weekly respiratory and circulatory deaths by age group and proportion of specimens positive for influenza by subtype; excess deaths above the seasonal baseline were taken as an estimate of influenza-associated mortality counts and rates. Annual excess death rates and the 2011 India Census data were used to estimate national influenza-associated deaths. Results Estimated annual influenza-associated respiratory mortality rates were highest for those ≥65 years (51.1, 95% confidence interval (CI) = 9.2-93.0 deaths/100 000 population) followed by those <5 years (9.8, 95% CI = 0-21.8/100 000). Influenza-associated circulatory death rates were also higher among those ≥65 years (71.8, 95% CI = 7.9-135.8/100 000) as compared to those aged <65 years (1.9, 95% CI = 0-4.6/100 000). Across all age groups, a mean of 127 092 (95% CI = 64 046-190,139) annual influenza-associated respiratory and circulatory deaths may occur in India. Conclusions Estimated influenza-associated mortality in India was high among children <5 years and adults ≥65 years. These estimates may inform strategies for influenza prevention and control in India, such as possible vaccine introduction.
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Affiliation(s)
| | - A Danielle Iuliano
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Katherine Roguski
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Rohit Bhardwaj
- SRS division, Office of Registrar General of India, New Delhi, India
| | | | - Siddhartha Saha
- Influenza Division, Centers for Disease Control and Prevention, New Delhi, India
| | - Partha Haldar
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi
| | - Rajeev Kumar
- SRS division, Office of Registrar General of India, New Delhi, India
| | | | - Shashi Kant
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi
| | - Joseph Bresee
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Seema Jain
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Anand Krishnan
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi
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Godfred-Cato S, Bryant B, Leung J, Oster ME, Conklin L, Abrams J, Roguski K, Wallace B, Prezzato E, Koumans EH, Lee EH, Geevarughese A, Lash MK, Reilly KH, Pulver WP, Thomas D, Feder KA, Hsu KK, Plipat N, Richardson G, Reid H, Lim S, Schmitz A, Pierce T, Hrapcak S, Datta D, Morris SB, Clarke K, Belay E. COVID-19-Associated Multisystem Inflammatory Syndrome in Children - United States, March-July 2020. MMWR Morb Mortal Wkly Rep 2020; 69:1074-1080. [PMID: 32790663 PMCID: PMC7440126 DOI: 10.15585/mmwr.mm6932e2] [Citation(s) in RCA: 507] [Impact Index Per Article: 126.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
In April 2020, during the peak of the coronavirus disease 2019 (COVID-19) pandemic in Europe, a cluster of children with hyperinflammatory shock with features similar to Kawasaki disease and toxic shock syndrome was reported in England* (1). The patients' signs and symptoms were temporally associated with COVID-19 but presumed to have developed 2-4 weeks after acute COVID-19; all children had serologic evidence of infection with SARS-CoV-2, the virus that causes COVID-19 (1). The clinical signs and symptoms present in this first cluster included fever, rash, conjunctivitis, peripheral edema, gastrointestinal symptoms, shock, and elevated markers of inflammation and cardiac damage (1). On May 14, 2020, CDC published an online Health Advisory that summarized the manifestations of reported multisystem inflammatory syndrome in children (MIS-C), outlined a case definition,† and asked clinicians to report suspected U.S. cases to local and state health departments. As of July 29, a total of 570 U.S. MIS-C patients who met the case definition had been reported to CDC. A total of 203 (35.6%) of the patients had a clinical course consistent with previously published MIS-C reports, characterized predominantly by shock, cardiac dysfunction, abdominal pain, and markedly elevated inflammatory markers, and almost all had positive SARS-CoV-2 test results. The remaining 367 (64.4%) of MIS-C patients had manifestations that appeared to overlap with acute COVID-19 (2-4), had a less severe clinical course, or had features of Kawasaki disease.§ Median duration of hospitalization was 6 days; 364 patients (63.9%) required care in an intensive care unit (ICU), and 10 patients (1.8%) died. As the COVID-19 pandemic continues to expand in many jurisdictions, clinicians should be aware of the signs and symptoms of MIS-C and report suspected cases to their state or local health departments; analysis of reported cases can enhance understanding of MIS-C and improve characterization of the illness for early detection and treatment.
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4
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Havers FP, Reed C, Lim T, Montgomery JM, Klena JD, Hall AJ, Fry AM, Cannon DL, Chiang CF, Gibbons A, Krapiunaya I, Morales-Betoulle M, Roguski K, Rasheed MAU, Freeman B, Lester S, Mills L, Carroll DS, Owen SM, Johnson JA, Semenova V, Blackmore C, Blog D, Chai SJ, Dunn A, Hand J, Jain S, Lindquist S, Lynfield R, Pritchard S, Sokol T, Sosa L, Turabelidze G, Watkins SM, Wiesman J, Williams RW, Yendell S, Schiffer J, Thornburg NJ. Seroprevalence of Antibodies to SARS-CoV-2 in 10 Sites in the United States, March 23-May 12, 2020. JAMA Intern Med 2020. [PMID: 32692365 DOI: 10.1101/2020.06.25.20140384v1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
IMPORTANCE Reported cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection likely underestimate the prevalence of infection in affected communities. Large-scale seroprevalence studies provide better estimates of the proportion of the population previously infected. OBJECTIVE To estimate prevalence of SARS-CoV-2 antibodies in convenience samples from several geographic sites in the US. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study performed serologic testing on a convenience sample of residual sera obtained from persons of all ages. The serum was collected from March 23 through May 12, 2020, for routine clinical testing by 2 commercial laboratory companies. Sites of collection were San Francisco Bay area, California; Connecticut; south Florida; Louisiana; Minneapolis-St Paul-St Cloud metro area, Minnesota; Missouri; New York City metro area, New York; Philadelphia metro area, Pennsylvania; Utah; and western Washington State. EXPOSURES Infection with SARS-CoV-2. MAIN OUTCOMES AND MEASURES The presence of antibodies to SARS-CoV-2 spike protein was estimated using an enzyme-linked immunosorbent assay, and estimates were standardized to the site populations by age and sex. Estimates were adjusted for test performance characteristics (96.0% sensitivity and 99.3% specificity). The number of infections in each site was estimated by extrapolating seroprevalence to site populations; estimated infections were compared with the number of reported coronavirus disease 2019 (COVID-19) cases as of last specimen collection date. RESULTS Serum samples were tested from 16 025 persons, 8853 (55.2%) of whom were women; 1205 (7.5%) were 18 years or younger and 5845 (36.2%) were 65 years or older. Most specimens from each site had no evidence of antibodies to SARS-CoV-2. Adjusted estimates of the proportion of persons seroreactive to the SARS-CoV-2 spike protein antibodies ranged from 1.0% in the San Francisco Bay area (collected April 23-27) to 6.9% of persons in New York City (collected March 23-April 1). The estimated number of infections ranged from 6 to 24 times the number of reported cases; for 7 sites (Connecticut, Florida, Louisiana, Missouri, New York City metro area, Utah, and western Washington State), an estimated greater than 10 times more SARS-CoV-2 infections occurred than the number of reported cases. CONCLUSIONS AND RELEVANCE During March to early May 2020, most persons in 10 diverse geographic sites in the US had not been infected with SARS-CoV-2 virus. The estimated number of infections, however, was much greater than the number of reported cases in all sites. The findings may reflect the number of persons who had mild or no illness or who did not seek medical care or undergo testing but who still may have contributed to ongoing virus transmission in the population.
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Affiliation(s)
- Fiona P Havers
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Carrie Reed
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Travis Lim
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Joel M Montgomery
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - John D Klena
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Aron J Hall
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Alicia M Fry
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Deborah L Cannon
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Cheng-Feng Chiang
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Aridth Gibbons
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Inna Krapiunaya
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Maria Morales-Betoulle
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Katherine Roguski
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Brandi Freeman
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Sandra Lester
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Lisa Mills
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Darin S Carroll
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - S Michele Owen
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jeffrey A Johnson
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Vera Semenova
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Debra Blog
- New York State Department of Health, Albany
| | - Shua J Chai
- Division of State and Local Readiness, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Julie Hand
- Louisiana Department of Health, New Orleans
| | - Seema Jain
- California Department of Health, Richmond
| | | | | | | | | | - Lynn Sosa
- Connecticut Department of Public Health, Hartford
| | | | | | | | | | | | - Jarad Schiffer
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Natalie J Thornburg
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
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5
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Havers FP, Reed C, Lim T, Montgomery JM, Klena JD, Hall AJ, Fry AM, Cannon DL, Chiang CF, Gibbons A, Krapiunaya I, Morales-Betoulle M, Roguski K, Rasheed MAU, Freeman B, Lester S, Mills L, Carroll DS, Owen SM, Johnson JA, Semenova V, Blackmore C, Blog D, Chai SJ, Dunn A, Hand J, Jain S, Lindquist S, Lynfield R, Pritchard S, Sokol T, Sosa L, Turabelidze G, Watkins SM, Wiesman J, Williams RW, Yendell S, Schiffer J, Thornburg NJ. Seroprevalence of Antibodies to SARS-CoV-2 in 10 Sites in the United States, March 23-May 12, 2020. JAMA Intern Med 2020; 180:2768834. [PMID: 32692365 DOI: 10.1001/jamainternmed.2020.4130] [Citation(s) in RCA: 454] [Impact Index Per Article: 113.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
IMPORTANCE Reported cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection likely underestimate the prevalence of infection in affected communities. Large-scale seroprevalence studies provide better estimates of the proportion of the population previously infected. OBJECTIVE To estimate prevalence of SARS-CoV-2 antibodies in convenience samples from several geographic sites in the US. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study performed serologic testing on a convenience sample of residual sera obtained from persons of all ages. The serum was collected from March 23 through May 12, 2020, for routine clinical testing by 2 commercial laboratory companies. Sites of collection were San Francisco Bay area, California; Connecticut; south Florida; Louisiana; Minneapolis-St Paul-St Cloud metro area, Minnesota; Missouri; New York City metro area, New York; Philadelphia metro area, Pennsylvania; Utah; and western Washington State. EXPOSURES Infection with SARS-CoV-2. MAIN OUTCOMES AND MEASURES The presence of antibodies to SARS-CoV-2 spike protein was estimated using an enzyme-linked immunosorbent assay, and estimates were standardized to the site populations by age and sex. Estimates were adjusted for test performance characteristics (96.0% sensitivity and 99.3% specificity). The number of infections in each site was estimated by extrapolating seroprevalence to site populations; estimated infections were compared with the number of reported coronavirus disease 2019 (COVID-19) cases as of last specimen collection date. RESULTS Serum samples were tested from 16 025 persons, 8853 (55.2%) of whom were women; 1205 (7.5%) were 18 years or younger and 5845 (36.2%) were 65 years or older. Most specimens from each site had no evidence of antibodies to SARS-CoV-2. Adjusted estimates of the proportion of persons seroreactive to the SARS-CoV-2 spike protein antibodies ranged from 1.0% in the San Francisco Bay area (collected April 23-27) to 6.9% of persons in New York City (collected March 23-April 1). The estimated number of infections ranged from 6 to 24 times the number of reported cases; for 7 sites (Connecticut, Florida, Louisiana, Missouri, New York City metro area, Utah, and western Washington State), an estimated greater than 10 times more SARS-CoV-2 infections occurred than the number of reported cases. CONCLUSIONS AND RELEVANCE During March to early May 2020, most persons in 10 diverse geographic sites in the US had not been infected with SARS-CoV-2 virus. The estimated number of infections, however, was much greater than the number of reported cases in all sites. The findings may reflect the number of persons who had mild or no illness or who did not seek medical care or undergo testing but who still may have contributed to ongoing virus transmission in the population.
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Affiliation(s)
- Fiona P Havers
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Carrie Reed
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Travis Lim
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Joel M Montgomery
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - John D Klena
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Aron J Hall
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Alicia M Fry
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Deborah L Cannon
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Cheng-Feng Chiang
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Aridth Gibbons
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Inna Krapiunaya
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Maria Morales-Betoulle
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Katherine Roguski
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Brandi Freeman
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Sandra Lester
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Lisa Mills
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Darin S Carroll
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - S Michele Owen
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jeffrey A Johnson
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Vera Semenova
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Debra Blog
- New York State Department of Health, Albany
| | - Shua J Chai
- Division of State and Local Readiness, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Julie Hand
- Louisiana Department of Health, New Orleans
| | - Seema Jain
- California Department of Health, Richmond
| | | | | | | | | | - Lynn Sosa
- Connecticut Department of Public Health, Hartford
| | | | | | | | | | | | - Jarad Schiffer
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Natalie J Thornburg
- CDC COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
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Raj SJ, Wang Y, Yakubu H, Robb K, Siesel C, Green J, Kirby A, Mairinger W, Michiel J, Null C, Perez E, Roguski K, Moe CL. The SaniPath Exposure Assessment Tool: A quantitative approach for assessing exposure to fecal contamination through multiple pathways in low resource urban settlements. PLoS One 2020; 15:e0234364. [PMID: 32530933 PMCID: PMC7292388 DOI: 10.1371/journal.pone.0234364] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Accepted: 05/23/2020] [Indexed: 11/18/2022] Open
Abstract
Inadequate sanitation can lead to exposure to fecal contamination through multiple environmental pathways and can result in adverse health outcomes. By understanding the relative importance of multiple exposure pathways, sanitation interventions can be tailored to those pathways with greatest potential public health impact. The SaniPath Exposure Assessment Tool allows users to identify and quantify human exposure to fecal contamination in low-resource urban settings through a systematic yet customizable process. The Tool includes: a project management platform; mobile data collection and a data repository; protocols for primary data collection; and automated exposure assessment analysis. The data collection protocols detail the process of conducting behavioral surveys with households, school children, and community groups to quantify contact with fecal exposure pathways and of collecting and analyzing environmental samples for E. coli as an indicator of fecal contamination. Bayesian analyses are used to estimate the percentage of the population exposed and the mean dose of fecal exposure from microbiological and behavioral data. Fecal exposure from nine pathways (drinking water, bathing water, surface water, ocean water, open drains, floodwater, raw produce, street food, and public or shared toilets) can be compared through a common metric-estimated ingestion of E. coli units (MPN or CFU) per month. The Tool generates data visualizations and recommendations for interventions designed for both scientific and lay audiences. When piloted in Accra, Ghana, the results of the Tool were comparable with that of an in-depth study conducted in the same neighborhoods and highlighted consumption of raw produce as a dominant exposure pathway. The Tool has been deployed in nine cities to date, and the results are being used by local authorities to design and prioritize programming and policy. The SaniPath Tool is a novel approach to support public-health evidence-based decision-making for urban sanitation policies and investments.
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Affiliation(s)
- Suraja J. Raj
- Center for Global Safe Water, Sanitation, and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
- * E-mail:
| | - Yuke Wang
- Center for Global Safe Water, Sanitation, and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Habib Yakubu
- Center for Global Safe Water, Sanitation, and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Katharine Robb
- Center for Global Safe Water, Sanitation, and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Casey Siesel
- Center for Global Safe Water, Sanitation, and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Jamie Green
- Center for Global Safe Water, Sanitation, and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Amy Kirby
- Center for Global Safe Water, Sanitation, and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Wolfgang Mairinger
- Center for Global Safe Water, Sanitation, and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - James Michiel
- Center for Global Safe Water, Sanitation, and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Clair Null
- Center for Global Safe Water, Sanitation, and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Eddy Perez
- Center for Global Safe Water, Sanitation, and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Katherine Roguski
- Center for Global Safe Water, Sanitation, and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Christine L. Moe
- Center for Global Safe Water, Sanitation, and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
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7
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Biswas D, Ahmed M, Roguski K, Ghosh PK, Parveen S, Nizame FA, Rahman MZ, Chowdhury F, Rahman M, Luby SP, Sturm-Ramirez K, Iuliano AD. Effectiveness of a Behavior Change Intervention with Hand Sanitizer Use and Respiratory Hygiene in Reducing Laboratory-Confirmed Influenza among Schoolchildren in Bangladesh: A Cluster Randomized Controlled Trial. Am J Trop Med Hyg 2020; 101:1446-1455. [PMID: 31701861 DOI: 10.4269/ajtmh.19-0376] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Schoolchildren are commonly linked to influenza transmission. Handwashing with soap has been shown to decrease infections; however, improving handwashing practices using soap and water is difficult in low-resource settings. In these settings, alternative hygiene options, such as hand sanitizer, could improve handwashing promotion to reduce influenza virus infections. We conducted a cluster randomized control trial in 24 primary schools in Dhaka to assess the effectiveness of hand sanitizer and a respiratory hygiene education intervention in reducing influenza-like illness (ILI) and laboratory-confirmed influenza during June-September 2015. Twelve schools were randomly selected to receive hand sanitizer and respiratory hygiene education, and 12 schools received no intervention. Field staff actively followed children daily to monitor for new ILI episodes (cough with fever) through school visits and by phone if a child was absent. When an illness episode was identified, medical technologists collected nasal swabs to test for influenza viruses. During the 10-week follow-up period, the incidence of ILI per 1,000 student-weeks was 22 in the intervention group versus 27 in the control group (P-value = 0.4). The incidence of laboratory-confirmed influenza was 53% lower in the intervention schools (3/1,000 person-weeks) than in the control schools (6/1,000 person-weeks) (P-value = 0.01). Hand sanitizer and respiratory hygiene education can help to reduce the risk of influenza virus transmission in schools.
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Affiliation(s)
- Debashish Biswas
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | | | | | - Probir K Ghosh
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Shahana Parveen
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Fosiul A Nizame
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Mohammed Ziaur Rahman
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Fahmida Chowdhury
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Mahmudur Rahman
- Institute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, Bangladesh
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8
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Chatham-Stephens K, Roguski K, Jang Y, Cho P, Jatlaoui TC, Kabbani S, Glidden E, Ussery EN, Trivers KF, Evans ME, King BA, Rose DA, Jones CM, Baldwin G, Delaney LJ, Briss P, Ritchey MD. Characteristics of Hospitalized and Nonhospitalized Patients in a Nationwide Outbreak of E-cigarette, or Vaping, Product Use-Associated Lung Injury - United States, November 2019. MMWR Morb Mortal Wkly Rep 2019; 68:1076-1080. [PMID: 31751326 PMCID: PMC6871898 DOI: 10.15585/mmwr.mm6846e1] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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9
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Thapa B, Roguski K, Azziz-Baumgartner E, Siener K, Gould P, Jamtsho T, Wangchuk S. The burden of influenza-associated respiratory hospitalizations in Bhutan, 2015-2016. Influenza Other Respir Viruses 2018; 13:28-35. [PMID: 30137672 PMCID: PMC6304319 DOI: 10.1111/irv.12605] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Revised: 05/31/2018] [Accepted: 08/19/2018] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Influenza burden estimates help provide evidence to support influenza prevention and control programs. In this study, we estimated influenza-associated respiratory hospitalization rates in Bhutan, a country considering influenza vaccine introduction. METHODS Using real-time reverse transcription-polymerase chain reaction laboratory results from severe acute respiratory infection (SARI) surveillance, we estimated the proportion of respiratory hospitalizations attributable to influenza each month among patients aged <5, 5-49, and ≥50 years in six Bhutanese districts for 2015 and 2016. We divided the sum of the monthly influenza-attributed hospitalizations by the total of the six district populations to generate age-specific rates for each year. RESULTS In 2015, 10% of SARI patients tested positive for influenza (64/659) and 18% tested positive (129/736) in 2016. The incidence of influenza-associated hospitalizations among all age groups was 50/100 000 persons (95% confidence interval [CI]: 45-55) in 2015 and 118/100 000 persons (95% CI: 110-127) in 2016. The highest rates were among children <5 years: 182/100 000 (95% CI: 153-210) in 2015 and 532/100 000 (95% CI: 473-591) in 2016. The second highest influenza-associated hospitalization rates were among adults ≥50 years: 110/100 000 (95% CI: 91-130) in 2015 and 193/100 000 (95% CI: 165-221) in 2016. CONCLUSIONS Influenza viruses were associated with a substantial burden of severe illness requiring hospitalization especially among children and older adults. These findings can be used to understand the potential impact of seasonal influenza vaccination in these age groups.
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Affiliation(s)
- Binay Thapa
- Royal Centre for Disease Control, Ministry of Health, Thimphu, Bhutan
| | - Katherine Roguski
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Karen Siener
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Philip Gould
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia.,Regional Office for South East Asia, World Health Organization, New Delhi, India
| | - Thinley Jamtsho
- Royal Centre for Disease Control, Ministry of Health, Thimphu, Bhutan
| | - Sonam Wangchuk
- Royal Centre for Disease Control, Ministry of Health, Thimphu, Bhutan
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10
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Ahmed M, Roguski K, Tempia S, Iuliano AD. Reply to Alonso et al. "Bangladesh and Rwanda: Cases of high burden of influenza in tropical countries?". Influenza Other Respir Viruses 2018; 12:669-671. [PMID: 29858873 PMCID: PMC6086846 DOI: 10.1111/irv.12576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
- Makhdum Ahmed
- International Centre for Diarrheal Disease Research, Dhaka, Bangladesh.,Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Katherine Roguski
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Angela D Iuliano
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
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11
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Ritter RL, Peprah D, Null C, Moe CL, Armah G, Ampofo J, Wellington N, Yakubu H, Robb K, Kirby AE, Wang Y, Roguski K, Reese H, Agbemabiese CA, Adomako LAB, Freeman MC, Baker KK. Within-Compound Versus Public Latrine Access and Child Feces Disposal Practices in Low-Income Neighborhoods of Accra, Ghana. Am J Trop Med Hyg 2018; 98:1250-1259. [PMID: 29557327 PMCID: PMC5953368 DOI: 10.4269/ajtmh.17-0654] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
In crowded urban settlements in low-income countries, many households rely on shared sanitation facilities. Shared facilities are not currently considered "improved sanitation" because of concerns about whether hygiene conditions sufficiently protect users from the feces of others. Prevention of fecal exposure at a latrine is only one aspect of sanitary safety. Ensuring consistent use of latrines for feces disposal, especially child feces, is required to reduce fecal contamination in households and communities. Household crowding and shared latrine access are correlated in these settings, rendering latrine use by neighbors sharing communal living areas as critically important for protecting one's own household. This study in Accra, Ghana, found that household access to a within-compound basic latrine was associated with higher latrine use by children of ages 5-12 years and for disposal of feces of children < 5 years, compared with households using public latrines. However, within-compound access was not associated with improved child feces disposal by other caregivers in the compound. Feces was rarely observed in household compounds but was observed more often in compounds with latrines versus compounds relying on public latrines. Escherichia coli and human adenovirus were detected frequently on household surfaces, but concentrations did not differ when compared by latrine access or usage practices. The differences in latrine use for households sharing within-compound versus public latrines in Accra suggest that disaggregated shared sanitation categories may be useful in monitoring global progress in sanitation coverage. However, compound access did not completely ensure that households were protected from feces and microbial contamination.
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Affiliation(s)
| | - Dorothy Peprah
- London School of Hygiene and Tropical Medicine, London, United Kingdom.,Center for Global Safe Water, Sanitation, and Hygiene, Emory University, Atlanta, Georgia
| | - Clair Null
- Mathematica Policy Research, Washington, District of Columbia.,Center for Global Safe Water, Sanitation, and Hygiene, Emory University, Atlanta, Georgia
| | - Christine L Moe
- Center for Global Safe Water, Sanitation, and Hygiene, Emory University, Atlanta, Georgia
| | - George Armah
- Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Joseph Ampofo
- Council for Scientific and Industrial Research Water Research Institute, Accra, Ghana
| | - Nii Wellington
- Training Research and Networking for Development (TREND), Accra, Ghana
| | - Habib Yakubu
- Center for Global Safe Water, Sanitation, and Hygiene, Emory University, Atlanta, Georgia
| | - Katharine Robb
- Center for Global Safe Water, Sanitation, and Hygiene, Emory University, Atlanta, Georgia
| | - Amy E Kirby
- Center for Global Safe Water, Sanitation, and Hygiene, Emory University, Atlanta, Georgia
| | - Yuke Wang
- Center for Global Safe Water, Sanitation, and Hygiene, Emory University, Atlanta, Georgia
| | - Katherine Roguski
- Center for Global Safe Water, Sanitation, and Hygiene, Emory University, Atlanta, Georgia
| | - Heather Reese
- Center for Global Safe Water, Sanitation, and Hygiene, Emory University, Atlanta, Georgia
| | | | | | - Matthew C Freeman
- Department of Environmental Health, Emory University, Atlanta, Georgia.,Center for Global Safe Water, Sanitation, and Hygiene, Emory University, Atlanta, Georgia
| | - Kelly K Baker
- College of Public Health, University of Iowa, Iowa City, Iowa.,Center for Global Safe Water, Sanitation, and Hygiene, Emory University, Atlanta, Georgia
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12
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Stewart RJ, Ly S, Sar B, Ieng V, Heng S, Sim K, Machingaidze C, Roguski K, Dueger E, Moen A, Tsuyuoka R, Iuliano AD. Using a hospital admission survey to estimate the burden of influenza-associated severe acute respiratory infection in one province of Cambodia-methods used and lessons learned. Influenza Other Respir Viruses 2018; 12:104-112. [PMID: 29453796 PMCID: PMC5818350 DOI: 10.1111/irv.12489] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/09/2017] [Indexed: 01/15/2023] Open
Abstract
Background Understanding the burden of influenza‐associated severe acute respiratory infection (SARI) is important for setting national influenza surveillance and vaccine priorities. Estimating influenza‐associated SARI rates requires hospital‐based surveillance data and a population‐based denominator, which can be challenging to determine. Objectives We present an application of the World Health Organization's recently developed manual (WHO Manual) including hospital admission survey (HAS) methods for estimating the burden of influenza‐associated SARI, with lessons learned to help others calculate similar estimates. Methods Using an existing SARI surveillance platform in Cambodia, we counted influenza‐associated SARI cases during 2015 at one sentinel surveillance site in Svay Rieng Province. We applied WHO Manual‐derived methods to count respiratory hospitalizations at all hospitals within the catchment area, where 95% of the sentinel site case‐patients resided. We used HAS methods to adjust the district‐level population denominator for the sentinel site and calculated the incidence rate of influenza‐associated SARI by dividing the number of influenza‐positive SARI infections by the adjusted population denominator and multiplying by 100 000. We extrapolated the rate to the provincial population to derive a case count for 2015. We evaluated data sources, detailed steps of implementation, and identified lessons learned. Results We estimated an adjusted influenza‐associated 2015 SARI rate of 13.5/100 000 persons for the catchment area of Svay Rieng Hospital and 77 influenza‐associated SARI cases in Svay Rieng Province after extrapolation. Conclusions Methods detailed in the WHO Manual and operationalized successfully in Cambodia can be used in other settings to estimate rates of influenza‐associated SARI.
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Affiliation(s)
- Rebekah J Stewart
- Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, GA, USA.,Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sovann Ly
- Communicable Disease Control Department, Ministry of Health, Phnom Penh, Cambodia
| | - Borann Sar
- Influenza Program, United States Centers for Disease Control and Prevention, Phnom Penh, Cambodia
| | - Vanra Ieng
- Emerging Disease Surveillance and Response, World Health Organization, Phnom Penh, Cambodia
| | - Seng Heng
- Communicable Disease Control Department, Ministry of Health, Phnom Penh, Cambodia
| | - Kheng Sim
- Communicable Disease Control Department, Ministry of Health, Phnom Penh, Cambodia
| | - Chiedza Machingaidze
- Emerging Disease Surveillance and Response, World Health Organization, Phnom Penh, Cambodia
| | - Katherine Roguski
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Erica Dueger
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.,Emerging Disease Surveillance and Response, World Health Organization Regional Office for the Western Pacific, Manila, Philippines
| | - Ann Moen
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Reiko Tsuyuoka
- Emerging Disease Surveillance and Response, World Health Organization, Phnom Penh, Cambodia
| | - A Danielle Iuliano
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
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13
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Narayan VV, Iuliano AD, Roguski K, Haldar P, Saha S, Sreenivas V, Kant S, Zodpey S, Pandav CS, Jain S, Krishnan A. Evaluation of data sources and approaches for estimation of influenza-associated mortality in India. Influenza Other Respir Viruses 2018; 12:72-80. [PMID: 29197173 PMCID: PMC5818338 DOI: 10.1111/irv.12493] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2017] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND No estimates of influenza-associated mortality exist for India. OBJECTIVE To evaluate national mortality and viral surveillance data from India for assessing their appropriateness in estimating influenza-associated mortality using varied analytic approaches. METHODS We reviewed influenza virus surveillance data from a national influenza surveillance network. We also reviewed national mortality data from Civil Registration System (CRS), Medical Certification of Cause of Death (MCCD) and the Sample Registration System (SRS). We compared and scored the different sources of mortality data using specific criteria, including the process of cause of death assignment, sample size, proportion of ill-defined deaths, representativeness and availability of time series data. Each of these 5 parameters was scored on a scale from 1 to 5. To evaluate how to generate an influenza-associated mortality estimate for India, we also reviewed 4 methodologic approaches to assess the appropriateness of their assumptions and requirements for these data sets. RESULTS The influenza virus surveillance data included year-round sample testing for influenza virus and was found to be suitable for influenza mortality estimation modelling. Based on scoring for the 5 mortality data criteria, the SRS data had the highest score with 20 of 25 possible score, whereas MCCD and CRS scored 16 and 12, respectively. The SRS which used verbal autopsy survey methods was determined to be nationally representative and thus adequate for estimating influenza-associated mortality. Evaluation of the modelling methods demonstrated that Poisson regression, risk difference and mortality multiplier methods could be applied to the Indian setting. CONCLUSION Despite significant challenges, it is possible to estimate influenza-associated mortality in India.
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Affiliation(s)
| | | | | | - Partha Haldar
- Centre for Community MedicineAll India Institute of Medical SciencesNew DelhiIndia
| | | | | | - Shashi Kant
- Centre for Community MedicineAll India Institute of Medical SciencesNew DelhiIndia
| | | | | | - Seema Jain
- Centers for Disease Control and PreventionNew DelhiIndia
| | - Anand Krishnan
- Centre for Community MedicineAll India Institute of Medical SciencesNew DelhiIndia
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14
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Ahmed M, Aleem MA, Roguski K, Abedin J, Islam A, Alam KF, Gurley ES, Rahman M, Azziz‐Baumgartner E, Homaira N, Sturm‐Ramirez K, Danielle Iuliano A. Estimates of seasonal influenza-associated mortality in Bangladesh, 2010-2012. Influenza Other Respir Viruses 2018; 12:65-71. [PMID: 29197174 PMCID: PMC5818342 DOI: 10.1111/irv.12490] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2017] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Seasonal influenza-associated mortality estimates help identify the burden of disease and assess the value of public health interventions such as annual influenza immunization. Vital registration is limited in Bangladesh making it difficult to estimate seasonal influenza mortality. OBJECTIVES Our study aimed to estimate seasonal influenza-associated mortality rates for 2010-2012 in Bangladesh. METHODS We conducted surveillance among hospitalized patients with severe acute respiratory illness (SARI) for persons aged ≥5 years and severe pneumonia for children <5 years in 11 sites across Bangladesh. We defined the catchment areas of these sites and conducted a community survey in 22 randomly selected unions (administrative units) within the catchment areas to identify respiratory deaths. We multiplied the proportion of influenza-positive patients at our surveillance sites by the age-specific number of respiratory deaths identified to estimate seasonal influenza-associated mortality. RESULTS Among 4221 surveillance case-patients, 553 (13%) were positive for influenza viruses. Concurrently, we identified 1191 persons who died within 2 weeks of developing an acute respiratory illness within the catchment areas of the surveillance hospitals. In 2010-2011, the estimated influenza-associated mortality rate was 6 (95% CI 4-9) per 100 000 for children <5 years and 41 (95% CI 35-47) per 100 000 for persons >60 years. During 2011-2012, the estimated influenza-associated mortality rate was 13 (95% CI 10-16) per 100 000 among children <5 years and 88 (95% CI 79-98) per 100 000 among persons aged >60 years. CONCLUSIONS We identified a substantial burden of influenza-associated deaths in Bangladesh suggesting that the introduction of prevention and control measures including seasonal vaccination should be considered by local public health decision-makers.
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Affiliation(s)
- Makhdum Ahmed
- International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)DhakaBangladeshUSA
- The University of Texas Health Science Center at HoustonHoustonTXUSA
- The University of Texas MD Anderson Cancer CenterHoustonTXUSA
| | - Mohammad Abdul Aleem
- International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)DhakaBangladeshUSA
| | | | - Jaynal Abedin
- International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)DhakaBangladeshUSA
| | - Ariful Islam
- International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)DhakaBangladeshUSA
| | - Kazi Faisal Alam
- International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)DhakaBangladeshUSA
| | - Emily S. Gurley
- International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)DhakaBangladeshUSA
| | - Mahmudur Rahman
- Institute of Epidemiology, Disease Control and Research (IEDCR)DhakaBangladesh
| | | | - Nusrat Homaira
- International Centre for Diarrheal Disease Research, Bangladesh (icddr,b)DhakaBangladeshUSA
- School of Women's and Children's HealthThe University of New South Wales (UNSW)SydneyNSWAustralia
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15
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Blanton L, Wentworth DE, Alabi N, Azziz-Baumgartner E, Barnes J, Brammer L, Burns E, Davis CT, Dugan VG, Fry AM, Garten R, Grohskopf LA, Gubareva L, Kniss K, Lindstrom S, Mustaquim D, Olsen SJ, Roguski K, Taylor C, Trock S, Xu X, Katz J, Jernigan D. Update: Influenza Activity - United States and Worldwide, May 21-September 23, 2017. MMWR Morb Mortal Wkly Rep 2017; 66:1043-1051. [PMID: 28981486 PMCID: PMC5720887 DOI: 10.15585/mmwr.mm6639a3] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Lenee Blanton
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - David E Wentworth
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Noreen Alabi
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | | | - John Barnes
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Lynnette Brammer
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Erin Burns
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - C Todd Davis
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Vivien G Dugan
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Alicia M Fry
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Rebecca Garten
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Lisa A Grohskopf
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Larisa Gubareva
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Krista Kniss
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Stephen Lindstrom
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Desiree Mustaquim
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Sonja J Olsen
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Katherine Roguski
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Calli Taylor
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Susan Trock
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Xiyan Xu
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Jacqueline Katz
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
| | - Daniel Jernigan
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC
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16
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Kile JC, Ren R, Liu L, Greene CM, Roguski K, Iuliano AD, Jang Y, Jones J, Thor S, Song Y, Zhou S, Trock SC, Dugan V, Wentworth DE, Levine MZ, Uyeki TM, Katz JM, Jernigan DB, Olsen SJ, Fry AM, Azziz-Baumgartner E, Davis CT. Update: Increase in Human Infections with Novel Asian Lineage Avian Influenza A(H7N9) Viruses During the Fifth Epidemic - China, October 1, 2016-August 7, 2017. MMWR Morb Mortal Wkly Rep 2017; 66:928-932. [PMID: 28880856 PMCID: PMC5689040 DOI: 10.15585/mmwr.mm6635a2] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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17
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Iuliano AD, Jang Y, Jones J, Davis CT, Wentworth DE, Uyeki TM, Roguski K, Thompson MG, Gubareva L, Fry AM, Burns E, Trock S, Zhou S, Katz JM, Jernigan DB. Increase in Human Infections with Avian Influenza A(H7N9) Virus During the Fifth Epidemic - China, October 2016-February 2017. MMWR Morb Mortal Wkly Rep 2017; 66:254-255. [PMID: 28278147 PMCID: PMC5687196 DOI: 10.15585/mmwr.mm6609e2] [Citation(s) in RCA: 74] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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18
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Refaey S, Amin MM, Roguski K, Azziz-Baumgartner E, Uyeki TM, Labib M, Kandeel A. Cross-sectional survey and surveillance for influenza viruses and MERS-CoV among Egyptian pilgrims returning from Hajj during 2012-2015. Influenza Other Respir Viruses 2016; 11:57-60. [PMID: 27603034 PMCID: PMC5155725 DOI: 10.1111/irv.12429] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/28/2016] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Approximately 80 000 Egyptians participate in Hajj pilgrimage annually. The purpose of this study was to estimate influenza virus and MERS-CoV prevalence among Egyptian pilgrims returning from Hajj. STUDY A cross-sectional survey among 3 364 returning Egyptian pilgrims from 2012 to 2015 was conducted. Nasopharyngeal (NP) and oropharyngeal (OP) swabs were collected from all participants. Sputum specimens were collected from participants with respiratory symptoms and productive cough at the time of their interview. Specimens were tested for influenza viruses, and a convenience sample of NP/OP specimens was tested for MERS-CoV. Thirty percent of participants met the case definition for influenza-like illness (ILI), 14% tested positive for influenza viruses, and none tested positive for MERS-CoV. Self-reported influenza vaccination was 20%. CONCLUSIONS High prevalence of reported ILI during pilgrimage and confirmed influenza virus on return from pilgrimage suggest a continued need for influenza prevention strategies for Egyptian Hajj pilgrims. An evaluation of the Ministry of Health and Population's current risk communication campaigns to increase influenza vaccine use among pilgrims may help identify strategies to improve vaccine coverage.
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Affiliation(s)
- Samir Refaey
- Egyptian Ministry of Health and Population (MOHP), Cairo, Egypt
| | | | - Katherine Roguski
- Influenza Division, US Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA
| | | | - Timothy M Uyeki
- Influenza Division, US Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA
| | - Manal Labib
- Egyptian Ministry of Health and Population (MOHP), Cairo, Egypt
| | - Amr Kandeel
- Egyptian Ministry of Health and Population (MOHP), Cairo, Egypt
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Refaey S, Azziz-Baumgartner E, Amin MM, Fahim M, Roguski K, Elaziz HAEA, Iuliano AD, Salah N, Uyeki TM, Lindstrom S, Davis CT, Eid A, Genedy M, Kandeel A. Increased Number of Human Cases of Influenza Virus A(H5N1) Infection, Egypt, 2014-15. Emerg Infect Dis 2016; 21:2171-3. [PMID: 26584397 PMCID: PMC4672432 DOI: 10.3201/eid2112.150885] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
During November 2014–April 2015, a total of 165 case-patients with influenza virus A(H5N1) infection, including 6 clusters and 51 deaths, were identified in Egypt. Among infected persons, 99% reported poultry exposure: 19% to ill poultry and 35% to dead poultry. Only 1 person reported wearing personal protective equipment while working with poultry.
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Zieliński T, Browarek A, Zembala M, Sadowski J, Zakliczyński M, Przybylowski P, Roguski K, Kosakowska AB, Korewicki J. Risk stratification of patients with severe heart failure awaiting heart transplantation-prospective national registry POLKARD HF. Transplant Proc 2009; 41:3161-5. [PMID: 19857702 DOI: 10.1016/j.transproceed.2009.09.049] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
UNLABELLED Most methods used in the risk assessment of heart transplant candidates do not include new biomarkers. AIMS The aim of the study was to examine the value of NTproBNP and hsCRP and their combined use together with HFSS score in the risk assessment of patients with heart failure enlisted for heart transplantation. METHODS Data of 658 patients enlisted for heart transplantation in all active transplantation centers were stored in a prospective registry. The composite end point-death or urgent transplantation was recorded during the follow-up. RESULTS Death or urgent transplantation was recorded in 161 (24%) of pts. 102 (15%) patients died and 59 (9%) were transplanted urgently. Kaplan-Meier curves for risk of death or urgent transplantation where highly significant when pts were stratified by the quartiles of NT proBNP (P < .000001) or quartiles according to the hsCRP level on admission (P < .002). In the multivariate Cox proportional hazard model, the significance was observed for NTproBNP (P < .01) and HFSS (P < .02), and borderline significance for hsCRP (P = .057). When ROC analyses of the area under the curve (AUC) values were considered, AUC area was for HFSS - 0.645, for NTproBNP - 0.653 and for hsCRP - 0.566. When all those variables were included together in the model, the AUC value rose to 0.6943. Based on those results a weighted risk model with all three parameters was proposed. CONCLUSION HFSS, NTproBNP and hsCRP levels are independent stratification variables of survival or need for urgent heart transplantation. Their predictive value is moderately increased when they are analyzed together.
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Affiliation(s)
- T Zieliński
- Department of Heart Failure and Transplantation, Institute of Cardiology-04-628 Warszawa, ul. Alpejska 42, Warsaw, Poland.
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Zieliński T, Sobieszczańska-Małek M, Browarek A, Piotrowska M, Zakliczyński M, Przybyłowski P, Roguski K, Sadowski J, Zembala M, Korewicki J. The influence of the recipient's body weight on the probability to obtain a heart transplant-POLKARD HF registry. Transplant Proc 2009; 41:3166-70. [PMID: 19857703 DOI: 10.1016/j.transproceed.2009.08.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
INTRODUCTION The aim of the study was to analyze the influence of body weight of the adult heart recipient on the chance to obtain a transplant. METHODS We analyzed the data from all 658 patients listed for heart transplantation. RESULTS During the follow-up period, 325 (49%) of listed patients underwent transplantation with 102 (15%) succumbing before heart transplantation. The mean weight of transplanted patients was 73.7 +/- 13.7 kg and 81.2 +/- 15.4 kg for those not transplanted (P < .00001). Patients were divided according to body weight in two groups: light = below 80 kg (n = 360) or heavy > or = 80 kg or above (n = 297). On the transplant list, 111 heavy patients (37%) versus 213 light patients (59%) underwent the procedure, a significant difference. The waiting time among light patients was 255 versus heavy patients of 395 days (P < .005). There was a similar number of deaths before transplantation among the light (n = 56 360 patients; 15.5%) versus the heavy group (49/297; 16%). Upon multivariate Cox mode analysis independent factors related to not receiving a heart transplant were greater weight, systolic blood pressure, pulmonary vascular resistance, Heart Failure Survival Score (HFSS) score and lower N-terminal pro-brain natriuretic peptide (NTproBNP) levels. CONCLUSIONS Among adult heart transplant candidates, the chance to receive a heart transplant significantly decreased when the recipient's weight exceeded 80 kg. Patients with a body weight more than 110 kg had a poor chance to receive a heart transplantation.
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Affiliation(s)
- T Zieliński
- Department of Heart Failure and Transplantation, Institute of Cardiology, 04-628 Warszawa, ul Alpejska, Poland.
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Garlicki M, Roguski K, Puchniewicz M, Ehrlich MP. Composite aortic root replacement using the classic or modified Cabrol coronary artery implantation technique. SCAND CARDIOVASC J 2006; 40:230-3. [PMID: 16914414 DOI: 10.1080/14017430600746276] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
BACKGROUND We report in this study our results with composite aortic root replacement (CVR) using the classic or modified Cabrol coronary implantation technique. MATERIAL AND METHODS From October 2001 to March 2005, 25 patients underwent aortic root replacement. In all cases, the indication for surgery was a degenerative aneurysm with a diameter of more than 6 cm. Seven patients had undergone a previous aortic operation on the ascending aorta. Mean age was 53+/-13 years and 22 patients were male. Mean Euroscore was 5.2+/-2.4. Aortic insufficiency was present in all patients. Two patients had Marfan syndrome. RESULTS The 30-day mortality was 0%. Two patients required profound hypothermic circulatory arrest. Mean aortic cross-clamp time was 91+/-24 minutes and the mean circulatory arrest time was 24+/-15 minutes. No patients developed a pseudoaneurysm after the operation. CONCLUSION We conclude that composite aortic root replacement with the classic or modified Cabrol technique results in a low operative mortality. However, it should be only used when a "button" technique is not feasible.
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Baranowska B, Chmielowska M, Wolinska-Witort E, Roguski K, Wasilewska-Dziubinska E. The relationship between neuropeptides and hormones in starvation. Neuro Endocrinol Lett 2001; 22:349-55. [PMID: 11600877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Received: 07/09/2001] [Accepted: 08/06/2001] [Indexed: 02/21/2023]
Abstract
OBJECTIVES Some hormonal disturbances were demonstrated in starvation. Leptin, NPY and galanin play an important role in the control of appetite and in the mechanism of hormone release. METHODS In order to evaluate the effect of starvation on the relationship between leptin, neuropeptide Y (NPY) galanin and pituitary and gonadal hormones release, plasma leptin, NPY and galanin as well as serum LH, FSH, prolactin (PRL), estradiol, progesterone levels in non-starved female rats (in diestrus) and after 72 hrs of starvation were measured with RIA methods. Effects of leptin, NPY and galanin administration on pituitary and gonadal hormones were investigated in vivo and in vitro experiments. RESULTS Plasma leptin, NPY and galanin as well as serum estradiol and progesterone concentrations were significantly lower in starved rats as compared with non-starved rats. However serum prolactin level was significantly higher in starved rats. Opposite effects after leptin and NPY administration on hormone release in vivo and in vitro experiments were observed in non-starved rats. However, in starved rats we did not find changes in pituitary and gonadal hormones release after leptin, NPY and galanin injection or the hormonal response was blunted. CONCLUSIONS 1) The disturbances in neuropeptides activity and in hormones release were observed in starvation. 2) Leptin, NPY and galanin have direct and indirect effects on pituitary and gonadal hormones release. 3) In starvation the hormonal response to leptin, NPY and galanin is impaired.
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Affiliation(s)
- B Baranowska
- Neuroendocrinology Department, Medical Centre of Postgraduation Education, Warsaw, Poland.
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Baranowska B, Wolinska-Witort E, Wasilewska-Dziubinska E, Roguski K, Chmielowska M. Plasma leptin, neuropeptide Y (NPY) and galanin concentrations in bulimia nervosa and in anorexia nervosa. Neuro Endocrinol Lett 2001; 22:356-8. [PMID: 11600878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Received: 07/09/2001] [Accepted: 07/29/2001] [Indexed: 02/21/2023]
Abstract
OBJECTIVES It has been reported that leptin and neuropeptide Y (NPY) play a role in the control of appetite and in the regulation of hormonal secretion. METHODS Plasma leptin, neuropeptide Y (NPY) and galanin concentrations were estimated in 13 women with bulimia nervosa (BN) 19 women with anorexia nervosa (AN) and in 19 healthy women of the control group (CG). RESULTS Plasma leptin concentration in BN was significantly higher than that in AN and it was lower as compared with the control group, despite the same BMI (body mass index) in both the groups. Plasma leptin level in AN was significantly lower as compared with the controls. Plasma galanin concentrations in AN and BN did not differ significantly from the control group. Plasma NPY concentration in AN was lower than that in the control group. However, plasma NPY level in BN was significantly higher as compared with AN and with the control group (CG). The observed increase of NPY in BN was independent of BMI because BMI in bulimia nervosa was normal. CONCLUSIONS The data may suggest that other factors than body weight changes may be involved in the modulation of leptin and NPY release in BN. The pathological behaviour of patients with bulimia nervosa may result from disturbed NPY release which is the strongest orexigenic factor.
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Affiliation(s)
- B Baranowska
- Neuroendocrinology Department, Medical Centre of Postgraduate Education, Fieldorfa 40, 04-158 Warsaw, Poland.
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Baranowska B, Radzikowska M, Wasilewska-Dziubinska E, Roguski K, Borowiec M. The role of VIP and somatostatin in the control of GH and prolactin release in anorexia nervosa and in obesity. Ann N Y Acad Sci 2001; 921:443-55. [PMID: 11193873 DOI: 10.1111/j.1749-6632.2000.tb07013.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- B Baranowska
- Department of Neuroendocrinology, Medical Center of Postgraduate Education, Warsaw, Poland.
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Baranowska B, Radzikowska M, Wasilewska-Dziubínska E, Roguski K, Pølonowski A. Relationship among leptin, neuropeptide Y, and galanin in young women and in postmenopausal women. Menopause 2000; 7:149-55. [PMID: 10810959 DOI: 10.1097/00042192-200007030-00004] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To determine whether hormonal status may affect neuropeptide Y (NPY), galanin, and leptin release in postmenopausal women and in young women. DESIGN Forty-eight postmenopausal women aged 47-65 years and 35 young women aged 26-39 years were investigated. RESULTS Plasma leptin concentrations increased with increasing body mass index in both young and postmenopausal women and were significantly higher in obese postmenopausal women than in obese young women (p < 0.01). Plasma NPY levels in obese young and postmenopausal women were significantly higher than in lean women (p < 0.01 and p < 0.01, respectively) and were significantly higher in obese and nonobese postmenopausal women than in young women (p < 0.05 and p < 0.001, respectively). Plasma galanin levels in postmenopausal women, both lean and overweight, were significantly lower than in young women (p < 0.01 andp < 0.01, respectively). In obese postmenopausal women, plasma galanin concentrations were lower without differing significantly from those in obese young women. However, they were significantly higher than that in lean postmenopausal women (p < 0.001). CONCLUSIONS Our results suggest that the differences is plasma leptin, NPY, and galanin between postmenopausal women and young women may be related to body mass index rather than to differences in hormonal status and that the higher NPY levels in both lean and obese postmenopausal women than in young women indicate that factors other than body mass index may be involved.
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Affiliation(s)
- B Baranowska
- Neuroendocrinology Department, Medical Centre of Postgraduate Education, Warsaw, Poland
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Abstract
AIM It is commonly accepted that some neuropeptides play an important role in the control of appetite and hormonal secretion. Several gastrointestinal peptides may affect on central control of appetite via vagal and spinal nerves. The aim of this study was to evaluate the release of gastrointestinal peptides in anorexia nervosa and in obesity, because in these diseases the disturbances in the control of appetite and hormonal secretion were found. Material consisted of 30 women with anorexia nervosa aged 16-29 years (mean 22 years) and 23 women with obesity aged 19-33 years (mean 29 years) and 25 lean women of control group. METHODS In women with anorexia nervosa as compared with control group we observed a significant increase of plasma vasoactive intestinal peptide (VIP) levels (p < 0.01) and a significant decrease of leptin (p < 0.001), beta-endorphin (p < 0.01), gastrin (p < 0.05), cholecystokinin (CCK; p < 0.05) and somatostatin (S-S; p < 0.01). In obese women we found a significant increase of neuropeptide Y (NPY; p < 0.001), leptin (p < 0.01), galanin (p < 0.001), beta-endorphin (p < 0.001), gastrin (p < 0.01), CCK (p < 0.001) and S-S (p < 0.01) and a significant decrease of VIP concentrations (p < 0.001) as compared with control group. CONCLUSION Our results indicate that the release of gastrointestinal peptides is disturbed in obesity and in anorexia nervosa. These findings suggests that dysfunction of brain-gut axis may be also an important factor in the abnormal control of appetite axcept of hypothalamic dysfunction.
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Affiliation(s)
- B Baranowska
- Department of Neuroendocrinology, Medical Centre of Postgraduate Education, Warsaw, Poland
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Baranowska B, Radzikowska M, Wasilewska-Dziubińska E, Kapliński A, Roguski K, Płonowski A. Neuropeptide Y, leptin, galanin and insulin in women with polycystic ovary syndrome. Gynecol Endocrinol 1999; 13:344-51. [PMID: 10599552 DOI: 10.3109/09513599909167578] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
It has been reported that polycystic ovary syndrome (PCOS) is very frequently associated with obesity, insulin resistance and hyperinsulinemia. However, metabolic disorders may lead to suppression of reproductive hormone secretion during undernutrition and in obesity. Some neuropeptides, such as neuropeptide Y (NPY) and galanin, modulate the control of appetite and play an important role in the mechanism of luteinizing hormone-releasing hormone (LHRH) secretion. NPY and galanin regulate appetite via both central and peripheral mechanisms. The interaction between central and peripheral signals for the control of food intake is due to leptin. Leptin can modulate the activity of NPY and other peptides in the hypothalamus that are known to affect eating behavior. In order to evaluate the relationship between NPY, galanin and leptin, 28 women with PCOS, 32 obese women (non-PCOS) and 19 lean healthy women (control group) were investigated. Obese women with PCOS were divided into two groups: PCOS (A) overweight (body mass index, BMI 26-30 kg/m2), and PCOS (B) obese (BMI 31-40 kg/m2). Plasma NPY, galanin and leptin concentrations were measured by radioimmunoassay. Plasma leptin levels in obese women with PCOS (groups A and B) were significantly higher than those in the control group (p < 0.05, p < 0.05, respectively). A significant positive correlation between plasma leptin and BMI in women with PCOS was found (r = 0.427, p < 0.01). A positive correlation was demonstrated between leptin and testosterone in PCOS (r = 0.461, p < 0.01). Plasma galanin concentrations in PCOS were higher than in the control group but the differences were not significant. Plasma NPY levels were significantly elevated in both non-obese (normal) and obese women with PCOS (group A) (p < 0.01, p < 0.005, respectively). However, in obese non-PCOS women plasma NPY levels gradually increased with increase in BMI. No significant correlations were found between galanin, NPY and percentage change in response of LH to LHRH, as well as between NPY and insulin, and galanin and testosterone. Plasma insulin concentrations in women with PCOS (group B) were significantly higher than in the control group (p < 0.001). Increased plasma NPY levels are found in both obese and non-obese women with PCOS. The increase in NPY is independent of the increase in BMI. In obese women with PCOS, plasma leptin is increased compared with control lean women. Serum insulin concentration is increased in obese women with PCOS. A positive correlation exists between leptin and BMI as well as between leptin and testosterone in women with PCOS. These results may suggest that the feedback system in the interaction between leptin and NPY is disturbed in PCOS.
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Affiliation(s)
- B Baranowska
- Neuroendocrinology Department, Medical Centre of Postgraduate Education, Warsaw, Poland
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Baranowska B, Wasilewska-Dziubińska E, Radzikowska M, Płonowski A, Roguski K. Neuropeptide Y, galanin, and leptin release in obese women and in women with anorexia nervosa. Metabolism 1997; 46:1384-9. [PMID: 9439531 DOI: 10.1016/s0026-0495(97)90136-0] [Citation(s) in RCA: 76] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The study objective was to determine circulating levels of the appetite-controlling neuropeptides, neuropeptide Y (NPY), galanin, and leptin, in subjects with eating disorders. The study group consisted of 48 obese women aged 19 to 45 years, 15 women with anorexia nervosa aged 18 to 23 years, and 19 lean healthy women aged 18 to 42 years (control group). The obese women were divided into four groups: (A) body mass index (BMI) = 25 to 30 kg/m2, n = 9 (overweight); (B) BMI = 31 to 40 kg/m2, n = 23 (moderate obesity); (C) BMI greater than 40 kg/m2, n = 9 (severe obesity); and (D) BMI = 31 to 40 kg/m2, n = 7 (moderate obesity + non-insulin-dependent diabetes mellitus [NIDDM]). Plasma NPY, galanin, and leptin concentrations were measured in peripheral blood samples with radioimmunoassay methods. Plasma NPY levels in obese women (groups A, B, C, and D) were significantly higher as compared with the control group (P < .01, P < .001, P < .001, and P < .001, respectively). The highest plasma NPY concentrations were observed in obese women with NIDDM. Plasma galanin levels were significantly higher in groups B, C, and D (P < .001, P < .001, and P < .001, respectively). Plasma leptin concentrations were significantly higher in groups C and D as compared with the control group (P < .001 and P < .001, respectively). Plasma NPY and galanin concentrations in women with anorexia nervosa did not differ from the levels in the control group. However, plasma leptin concentrations were significantly lower in anorectic women than in the control group (P < .01). Our results indicate that inappropriate plasma concentrations of NPY, galanin, and leptin in obese women may be a consequence of their weight status, or could be one of many factors involved in the pathogenesis of obesity.
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Affiliation(s)
- B Baranowska
- Department of Neuroendocrinology, Postgraduate Medical Education Centre, Warsaw, Poland
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Baranowska B, Wasilewska-Dziubińska E, Radzikowska M, Płlonowski A, Roguski K, Krawczyk E, Kawalec M. Effects of PACAP and VIP on adrenal progesterone release. Ann N Y Acad Sci 1996; 805:628-33. [PMID: 8993452 DOI: 10.1111/j.1749-6632.1996.tb17532.x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- B Baranowska
- Department of Neuroendocrinology, Medical Centre of Postgraduate Education, Warsaw, Poland
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Baranowska B, Wasilewska-Dziubińska E, Radzikowska M, Płonowski A, Roguski K. Impaired response of atrial natriuretic peptide to acute water load in obesity and in anorexia nervosa. Eur J Endocrinol 1995; 132:147-51. [PMID: 7858731 DOI: 10.1530/eje.0.1320147] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Plasma atrial natriuretic peptide (ANP) concentrations were determined in basal conditions and after infusion of 1000 ml of 0.9% NaCl in women with anorexia nervosa, in normotensive obese women and in healthy women of the control group. Additionally, in the obese women and in the controls, plasma ANP was measured after iv injection of clonidine. Anorectic patients were investigated in the period of weight loss (mean deficit of body weight was 40%). The mean body mass index (BMI) in the obese women was 36.44 +/- 0.36 kg/m2. Basal plasma ANP concentrations were significantly higher in both anorectic and obese women (p < 0.001 and p < 0.01, respectively). The response of ANP to acute water load was markedly blunted in anorexia nervosa and in obesity (delta % = 232% in control group, 14% in anorexia nervosa and 21% in obesity. A significant increase of ANP was found after iv injection of clonidine in the control group and in obesity (p < 0.001 and p < 0.01, respectively). However, the increase of response (expressed as a percentage change) in obese patients was lower than that in the control group (delta % = 64% and 199%, respectively). The response of ANP to alpha 2-adrenergic stimulation was higher than to hemodynamic stimulus. Our results suggest that the disturbed control of neuropeptides and neurotransmitters as well as changes in peripheral metabolism may explain the impaired responsibility of ANP to hemodynamic stimuli in anorectic and obese patients.
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Affiliation(s)
- B Baranowska
- Department of Neuroendocrinology, Medical Center of Postgraduate Education, Warsaw, Poland
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