10 results on '"Ackelsberg J"'
Search Results
2. Public Health Management of Persons Under Investigation for Ebola Virus Disease in New York City, 2014-2016.
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Winters A, Iqbal M, Benowitz I, Baumgartner J, Vora NM, Evans L, Link N, Munjal I, Ostrowsky B, Ackelsberg J, Balter S, Dentinger C, Fine AD, Harper S, Landman K, Laraque F, Layton M, Slavinski S, Weiss D, Rakeman JL, Hughes S, Varma JK, and Lee EH
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- Adolescent, Adult, Child, Child, Preschool, Female, Hemorrhagic Fever, Ebola diagnosis, Hemorrhagic Fever, Ebola physiopathology, Humans, Infant, Male, Middle Aged, New York City epidemiology, Population Surveillance, Risk Assessment, Young Adult, Disease Outbreaks, Hemorrhagic Fever, Ebola epidemiology, Public Health Administration
- Abstract
During 2014-2016, the largest outbreak of Ebola virus disease (EVD) in history occurred in West Africa. The New York City Department of Health and Mental Hygiene (DOHMH) worked with health care providers to prepare for persons under investigation (PUIs) for EVD in New York City. From July 1, 2014, through December 29, 2015, we classified as a PUI a person with EVD-compatible signs or symptoms and an epidemiologic risk factor within 21 days before illness onset. Of 112 persons who met PUI criteria, 74 (66%) sought medical care and 49 (44%) were hospitalized. The remaining 38 (34%) were isolated at home with daily contact by DOHMH staff members. Thirty-two (29%) PUIs received a diagnosis of malaria. Of 10 PUIs tested, 1 received a diagnosis of EVD. Home isolation minimized unnecessary hospitalization. This case study highlights the importance of developing competency among clinical and public health staff managing persons suspected to be infected with a high-consequence pathogen.
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- 2019
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3. Management of an Outbreak of Exophiala dermatitidis Bloodstream Infections at an Outpatient Oncology Clinic.
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Vasquez A, Zavasky D, Chow NA, Gade L, Zlatanic E, Elkind S, Litvintseva AP, Pappas PG, Perfect JR, Revankar S, Lockhart SR, Chiller T, Ackelsberg J, and Vallabhaneni S
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- Aged, Ambulatory Care Facilities, Antifungal Agents therapeutic use, Asymptomatic Infections, Exophiala drug effects, Exophiala isolation & purification, Female, Fungemia mortality, Humans, Immunocompromised Host, Male, Middle Aged, Oncology Service, Hospital, Outpatients, Phaeohyphomycosis mortality, Rhodotorula drug effects, Rhodotorula isolation & purification, Disease Management, Disease Outbreaks, Drug Contamination, Fungemia drug therapy, Phaeohyphomycosis drug therapy
- Abstract
We report the presentation and management of 17 cases of Exophiala dermatitidis and Rhodotorula mucilaginosa bloodstream infections caused by a compounded parenteral medication at an oncology clinic. Twelve patients were asymptomatic. All central venous catheters were removed and antifungal therapy, primarily voriconazole, was administered to patients. Three patients died.
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- 2018
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4. Outbreak of non-tuberculous mycobacteria skin or soft tissue infections associated with handling fish - New York City, 2013-2014.
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Yacisin K, Hsieh JL, Weiss D, Ackelsberg J, Lee E, Jones L, Leung YL, Li L, Yung J, Slavinski S, Hanson H, Ridpath A, Kornblum J, Lin Y, Robbe-Austerman S, Rakeman J, Siemetzki-Kapoor U, Stuber T, and Greene SK
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- Adult, Aged, Aged, 80 and over, Animals, Case-Control Studies, Female, Fishes, Humans, Incidence, Male, Middle Aged, Mycobacterium Infections, Nontuberculous microbiology, New York City epidemiology, Skin Diseases, Bacterial microbiology, Soft Tissue Infections microbiology, Disease Outbreaks, Mycobacterium Infections, Nontuberculous epidemiology, Mycobacterium marinum isolation & purification, Skin Diseases, Bacterial epidemiology, Soft Tissue Infections epidemiology
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Mycobacterium marinum, a bacterium found in freshwater and saltwater, can infect persons with direct exposure to fish or aquariums. During December 2013, the New York City Department of Health and Mental Hygiene learned of four suspected or confirmed M. marinum skin or soft tissue infections (SSTIs) among persons who purchased whole fish from Chinese markets. Ninety-eight case-patients with non-tuberculous mycobacteria (NTM) SSTIs were identified with onset June 2013-March 2014. Of these, 77 (79%) were female. The median age was 62 years (range 30-91). Whole genome sequencing of clinical isolates revealed two main clusters and marked genetic diversity. Environmental samples from distributors yielded NTM though not M. marinum. We compared 56 case-patients with 185 control subjects who shopped in Chinese markets, frequency-matched by age group and sex. Risk factors for infection included skin injury to the finger or hand (odds ratio [OR]: 15·5; 95% confidence interval [CI]: 6·9-37·3), hand injury while preparing fish or seafood (OR 8·3; 95% CI 3·8-19·1), and purchasing tilapia (OR 3·6; 95% CI 1·1-13·9) or whiting (OR 2·7; 95% CI 1·1-6·6). A definitive environmental outbreak source was not identified.
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- 2017
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5. Clinical and Pathological Evaluation of Mycobacterium marinum Group Skin Infections Associated With Fish Markets in New York City.
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Sia TY, Taimur S, Blau DM, Lambe J, Ackelsberg J, Yacisin K, Bhatnagar J, Ritter J, Shieh WJ, Muehlenbachs A, Shulman K, Fong D, Kung E, and Zaki SR
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- Aged, Aged, 80 and over, Anti-Bacterial Agents therapeutic use, Arm, Combined Modality Therapy, Female, Fisheries, Hand, Humans, Male, Middle Aged, Mycobacterium Infections, Nontuberculous diagnosis, Mycobacterium Infections, Nontuberculous pathology, Mycobacterium Infections, Nontuberculous therapy, New York City epidemiology, Skin Diseases, Bacterial diagnosis, Skin Diseases, Bacterial pathology, Skin Diseases, Bacterial therapy, Soft Tissue Infections diagnosis, Soft Tissue Infections pathology, Soft Tissue Infections therapy, Disease Outbreaks, Mycobacterium Infections, Nontuberculous epidemiology, Skin Diseases, Bacterial epidemiology, Soft Tissue Infections epidemiology
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Background: From December 2013 through May 2014, physicians, dermatopathologists, and public health authorities collaborated to characterize an outbreak of Mycobacterium marinum and other nontuberculous mycobacterial skin and soft tissue infections (SSTIs) associated with handling fish in New York City's Chinatown. Clinicopathologic and laboratory investigations were performed on a series of patients., Methods: Medical records were reviewed for 29 patients. Culture results were available for 27 patients and 24 biopsy specimens were evaluated by histopathology, immunohistochemistry (IHC) staining for acid-fast bacilli (AFB), and mycobacterial polymerase chain reaction (PCR) assays., Results: All patients received antibiotics. The most commonly prescribed antibiotic regimen was clarithromycin and ethambutol. Of the 29 patients in this case series, 16 (55%) received surgical treatment involving incision and drainage, mass excision, and synovectomy. Of these, 7 (44%) had deep tissue involvement. All patients showed improvement. For those with culture results, 11 of 27 (41%) were positive for M. marinum; the remainder showed no growth. Poorly formed granulomas (96%), neutrophils (75%), and necrosis (79%) were found in 24 biopsies. Of 15 cases that were culture-negative and analyzed by other methods, 9 were PCR positive for M. marinum group species, 8 were IHC positive, and 3 were positive by AFB stains., Conclusions: A multidisciplinary approach was used to identify cases in an outbreak of M. marinum infections. The use of histopathology, culture, and IHC plus PCR from full thickness skin biopsy can lead to improved diagnosis of M. marinum SSTIs compared to relying solely on mycobacterial culture, the current gold standard., (Published by Oxford University Press for the Infectious Diseases Society of America 2015. This work is written by (a) US Government employee(s) and is in the public domain in the US.)
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- 2016
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6. Ebola virus disease in a humanitarian aid worker - New York City, October 2014.
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Yacisin K, Balter S, Fine A, Weiss D, Ackelsberg J, Prezant D, Wilson R, Starr D, Rakeman J, Raphael M, Quinn C, Toprani A, Clark N, Link N, Daskalakis D, Maybank A, Layton M, and Varma JK
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- Africa, Western epidemiology, Contact Tracing, Disease Outbreaks economics, Hemorrhagic Fever, Ebola economics, Hemorrhagic Fever, Ebola prevention & control, Humans, Male, New York City epidemiology, Altruism, Disease Outbreaks prevention & control, Ebolavirus isolation & purification, Health Personnel, Hemorrhagic Fever, Ebola epidemiology
- Abstract
In late October 2014, Ebola virus disease (Ebola) was diagnosed in a humanitarian aid worker who recently returned from West Africa to New York City (NYC). The NYC Department of Health and Mental Hygiene (DOHMH) actively monitored three close contacts of the patient and 114 health care personnel. No secondary cases of Ebola were detected. In collaboration with local and state partners, DOHMH had developed protocols to respond to such an event beginning in July 2014. These protocols included safely transporting a person at the first report of symptoms to a local hospital prepared to treat a patient with Ebola, laboratory testing for Ebola, and monitoring of contacts. In response to this single case of Ebola, initial health care worker active monitoring protocols needed modification to improve clarity about what types of exposure should be monitored. The response costs were high in both human resources and money: DOHMH alone spent $4.3 million. However, preparedness activities that include planning and practice in effectively monitoring the health of workers involved in Ebola patient care can help prevent transmission of Ebola.
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- 2015
7. Effect of timing of amantadine chemoprophylaxis on severity of outbreaks of influenza a in adult long-term care facilities.
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Rubin MS, Nivin B, and Ackelsberg J
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- Adult, Health Facilities, Humans, Incidence, Influenza, Human mortality, Linear Models, Long-Term Care, Multivariate Analysis, New York, Time Factors, Amantadine therapeutic use, Antiviral Agents therapeutic use, Chemoprevention, Cross Infection prevention & control, Disease Outbreaks prevention & control, Influenza, Human epidemiology, Influenza, Human prevention & control
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Background: Long-term care facilities (LTCFs) are vulnerable to outbreaks of influenza. There are limited data on the impact of antiviral chemoprophylaxis on the duration of outbreaks of influenza. We investigated the association of timely initiation of amantadine chemoprophylaxis on the duration and severity of outbreaks of influenza A in LTCFs in New York, New York., Methods: Outbreaks of influenza A occurring from October through May each year during the period 2001-2004 in LTCFs in New York were defined as a single laboratory-confirmed case or a cluster of > or = 2 cases of influenza-like illness on a unit of an LTCF. For those facilities that provided amantadine chemoprophylaxis, we examined the association between the time to initiation of chemoprophylaxis after outbreak onset and duration of outbreak, incidence rate, and case-fatality proportion using simple t tests, multivariate analyses of covariance, and linear regression modeling., Results: Adjusting for influenza season year, facility bed capacity, and the proportion of residents who were vaccinated against influenza, LTCFs that initiated chemoprophylaxis 15 days after outbreak onset (25 facilities) had significantly longer duration of outbreaks (18.3 vs. 6.7 days; P < .001), higher incidence rates (10.5 cases per 100 residents vs. 6.2 cases per 100 residents; P < .023), and higher case-fatality rates (3.3 deaths per 100 residents with influenza A vs. 0.45 deaths per 100 residents with influenza A; P < .005) than did LTCFs that initiated chemoprophylaxis 5 days after outbreak onset (27 facilities)., Conclusions: LTCFs that initiated chemoprophylaxis >5 days after initiation of outbreaks of influenza A had significantly longer outbreaks, significantly higher incidence rates, and significantly higher case-fatality rates. These data support prompt initiation of amantadine chemoprophylaxis after identification of influenza A in LTCFs.
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- 2008
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8. Detection, isolation, and molecular subtyping of Escherichia coli O157:H7 and Campylobacter jejuni associated with a large waterborne outbreak.
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Bopp DJ, Sauders BD, Waring AL, Ackelsberg J, Dumas N, Braun-Howland E, Dziewulski D, Wallace BJ, Kelly M, Halse T, Musser KA, Smith PF, Morse DL, and Limberger RJ
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- Campylobacter Infections microbiology, Campylobacter Infections transmission, Campylobacter jejuni genetics, Electrophoresis, Gel, Pulsed-Field, Escherichia coli Infections microbiology, Escherichia coli Infections transmission, Escherichia coli O157 genetics, Humans, Polymerase Chain Reaction, Shiga Toxin 1 analysis, Shiga Toxin 1 genetics, Shiga Toxin 2 analysis, Shiga Toxin 2 genetics, United States epidemiology, Campylobacter Infections epidemiology, Campylobacter jejuni isolation & purification, Disease Outbreaks, Escherichia coli Infections epidemiology, Escherichia coli O157 isolation & purification, Fresh Water microbiology
- Abstract
The largest reported outbreak of waterborne Escherichia coli O157:H7 in the United States occurred in upstate New York following a county fair in August 1999. Culture methods were used to isolate E. coli O157:H7 from specimens from 128 of 775 patients with suspected infections. Campylobacter jejuni was also isolated from stools of 44 persons who developed diarrheal illness after attending this fair. There was one case of a confirmed coinfection with E. coli O157:H7 and C. jejuni. Molecular detection of stx(1) and stx(2) Shiga toxin genes, immunomagnetic separation (IMS), and selective culture enrichment were utilized to detect and isolate E. coli O157:H7 from an unchlorinated well and its distribution points, a dry well, and a nearby septic tank. PCR for stx(1) and stx(2) was shown to provide a useful screen for toxin-producing E. coli O157:H7, and IMS subculture improved recovery. Pulsed-field gel electrophoresis (PFGE) was used to compare patient and environmental E. coli O157:H7 isolates. Among patient isolates, 117 of 128 (91.5%) were type 1 or 1a (three or fewer bands different). Among the water distribution system isolates, 13 of 19 (68%) were type 1 or 1a. Additionally, PFGE of C. jejuni isolates revealed that 29 of 35 (83%) had indistinguishable PFGE patterns. The PFGE results implicated the water distribution system as the main source of the E. coli O157:H7 outbreak. This investigation demonstrates the potential for outbreaks involving more than one pathogen and the importance of analyzing isolates from multiple patients and environmental samples to develop a better understanding of bacterial transmission during an outbreak.
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- 2003
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9. Issues associated with and recommendations for using PCR to detect outbreaks of pertussis.
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Lievano FA, Reynolds MA, Waring AL, Ackelsberg J, Bisgard KM, Sanden GN, Guris D, Golaz A, Bopp DJ, Limberger RJ, and Smith PF
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- Bordetella pertussis genetics, Child, Preschool, DNA, Bacterial analysis, False Positive Reactions, Humans, New York epidemiology, Quality Control, Reference Standards, Specimen Handling, Whooping Cough microbiology, Bordetella pertussis isolation & purification, Disease Outbreaks, Polymerase Chain Reaction methods, Polymerase Chain Reaction standards, Whooping Cough diagnosis, Whooping Cough epidemiology
- Abstract
Two outbreaks of respiratory tract illness associated with prolonged cough occurring in 1998 and 1999 in New York State were investigated. A PCR test for Bordetella pertussis was primarily used by a private laboratory to confirm 680 pertussis cases. Several clinical specimens had positive culture results for B. pertussis during both outbreaks, which confirmed that B. pertussis was circulating during the outbreaks. However, testing by the New York State Department of Health reference laboratory suggested that some of the PCR results may have been falsely positive. In addition, features of the outbreak that suggested that B. pertussis may not have been the primary agent of infection included a low attack rate among incompletely vaccinated children and a significant amount of illness among patients testing PCR negative for B. pertussis. These investigations highlight the importance of appropriate clinical laboratory quality assurance programs, of the limitations of the PCR test, and of interpreting laboratory results in context of clinical disease.
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- 2002
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10. 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
- Published
- 2016
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