Literature DB >> 17437862

"Med-X": a medical examiner surveillance model for bioterrorism and infectious disease mortality.

Kurt B Nolte1, Sarah L Lathrop, Marcus B Nashelsky, Jeffrey S Nine, Margaret M Gallaher, Edith T Umland, Jerri L McLemore, R Ross Reichard, Rebecca A Irvine, Patricia J McFeeley, Ross E Zumwalt.   

Abstract

We created a model surveillance system (Med-X) designed to enable medical examiners and coroners to recognize fatal infections of public health importance and deaths due to bioterrorism. All individuals who died in New Mexico and fell under medical examiner jurisdiction between November 23, 2000, and November 22, 2002, were prospectively evaluated using sets of surveillance symptoms and autopsy-based pathologic syndromes. All infectious disease deaths were evaluated to identify the specific causative agent. Of 6104 jurisdictional cases, 250 (4.1%) met Med-X criteria, of which 141 (56.4%) had a target pathologic syndrome. Ultimately, 127 (51%) of the 250 cases were due to infections. The causative organism was identified for 103 (81%) of the infectious disease deaths, of which 60 (58.3%) were notifiable conditions in New Mexico. Flu-like symptoms, fever and respiratory symptoms, and encephalopathy or new-onset seizures had predictive values positive for fatal infections of 65%, 72%, and 50%, respectively, and are useful as autopsy performance criteria. Before the development of surveillance criteria, 37 (14.8%) of the cases ordinarily would not have been autopsied resulting in a 1% increase in autopsy workload. Med-X is an effective method of detecting infectious disease deaths among medical examiner cases. Uniform criteria for performing medical examiner autopsies and reporting cases to public health authorities enhance surveillance for notifiable infectious diseases and increase the likelihood of recognizing deaths related to bioterrorism.

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Year:  2007        PMID: 17437862     DOI: 10.1016/j.humpath.2007.02.003

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  5 in total

1.  Diagnosis of influenza from respiratory autopsy tissues: detection of virus by real-time reverse transcription-PCR in 222 cases.

Authors:  Amy M Denison; Dianna M Blau; Heather A Jost; Tara Jones; Dominique Rollin; Rongbao Gao; Lindy Liu; Julu Bhatnagar; Marlene Deleon-Carnes; Wun-Ju Shieh; Christopher D Paddock; Clifton Drew; Patricia Adem; Shannon L Emery; Bo Shu; Kai-Hui Wu; Brigid Batten; Patricia W Greer; Chalanda S Smith; Jeanine Bartlett; Jeltley L Montague; Mitesh Patel; Xiyan Xu; Stephen Lindstrom; Alexander I Klimov; Sherif R Zaki
Journal:  J Mol Diagn       Date:  2011-03       Impact factor: 5.568

2.  Pandemic (H1N1) 2009-associated deaths detected by unexplained death and medical examiner surveillance.

Authors:  Christine H Lees; Catherine Avery; Ryan Asherin; Jean Rainbow; Richard Danila; Chad Smelser; Ann Schmitz; Stephen Ladd-Wilson; Kurt B Nolte; Kayla Nagle; Ruth Lynfield
Journal:  Emerg Infect Dis       Date:  2011-08       Impact factor: 6.883

3.  Fatal infectious diseases during pandemic (H1N1) 2009 outbreak.

Authors:  Dianna M Blau; Amy M Denison; Julu Bhatnagar; Marlene DeLeon-Carnes; Clifton Drew; Christopher Paddock; Wun-Ju Shieh; Sherif R Zaki
Journal:  Emerg Infect Dis       Date:  2011-11       Impact factor: 6.883

4.  Infectious disease surveillance by medical examiners and coroners.

Authors:  Dianna M Blau; Steven C Clark; Kurt B Nolte
Journal:  Emerg Infect Dis       Date:  2013-05       Impact factor: 6.883

5.  CDC Grand Rounds: discovering new diseases via enhanced partnership between public health and pathology experts.

Authors:  Sherif Zaki; Dianna M Blau; James M Hughes; Kurt B Nolte; Ruth Lynfield; Wendy Carr; Tanja Popovic
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2014-02-14       Impact factor: 17.586

  5 in total

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