Cargando…
1868. Epidemiology of Healthcare Facility-Associated Nontuberculous Mycobacteria at a 10-Hospital Network
BACKGROUND: Numerous studies have reported that rates of nontuberculous mycobacteria (NTM) infections are increasing. However, data on the epidemiology of healthcare facility-associated (HCFA) NTM are sparse. We performed a multicenter longitudinal study to analyze the epidemiology of NTM at a netwo...
Autores principales: | , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677256/ http://dx.doi.org/10.1093/ofid/ofad500.1696 |
_version_ | 1785150086981877760 |
---|---|
author | Baker, Arthur W La Hoz, Ricardo M Anesi, Judith A Kwon, Jennie H Wasylyshyn, Anastasia Ford, Emily S Harrington, Susan Miller, Melissa B Weber, David J Sickbert-Bennett, Emily Talbot, Thomas R Nguyen, M Hong Kramer, Kailey Hughes Nickel, Katelin B Maged, Ahmed Haridy, Salah Alexander, Barbara D Stout, Jason E Anderson, Deverick J |
author_facet | Baker, Arthur W La Hoz, Ricardo M Anesi, Judith A Kwon, Jennie H Wasylyshyn, Anastasia Ford, Emily S Harrington, Susan Miller, Melissa B Weber, David J Sickbert-Bennett, Emily Talbot, Thomas R Nguyen, M Hong Kramer, Kailey Hughes Nickel, Katelin B Maged, Ahmed Haridy, Salah Alexander, Barbara D Stout, Jason E Anderson, Deverick J |
author_sort | Baker, Arthur W |
collection | PubMed |
description | BACKGROUND: Numerous studies have reported that rates of nontuberculous mycobacteria (NTM) infections are increasing. However, data on the epidemiology of healthcare facility-associated (HCFA) NTM are sparse. We performed a multicenter longitudinal study to analyze the epidemiology of NTM at a network of U.S. academic hospitals. METHODS: We retrospectively analyzed data on positive cultures for NTM obtained from 2012-2020 at a network of 10 U.S. academic hospitals and associated clinics (Table). Variables analyzed included NTM species, specimen source, and hospital admission status. A unique NTM episode was defined as a patient’s first positive culture for a particular NTM species and specimen source category (pulmonary vs. extrapulmonary). Episodes linked to isolates obtained on day 3 or later of hospitalization were considered to represent hospital-onset (HO) NTM. Seven hospitals contributed at least 12 months of baseline data prior to January 2014, and within this closed cohort, trends of NTM incidence rates were estimated with log regression. [Figure: see text] Characteristics of a 10-hospital network that performed retrospective culture-based NTM surveillance from 2012-2020. RESULTS: Across the 10-hospital network, 24,376 total NTM isolates were identified during 19,248,137 patient-days of surveillance; 12,847 (53%) isolates represented unique NTM episodes. Of these episodes, 3,044 (24%) were HO-NTM, which were most commonly caused by M. avium complex (n=1,466, 48%), M. abscessus complex (n=397, 13%), and M. chelonae-M. immunogenum (n=348, 11%). For 595 (20%) HO episodes, specimen source was extrapulmonary. Individual hospital incidence rates of HO-NTM were highly variable with a median rate of 1.1 episodes per 10,000 patient-days (range, 0.4 – 5.5 episodes) (Table). For the 7-hospital closed cohort, the HO-NTM incidence rate decreased from 2.3 to 1.4 episodes per 10,000 patient-days from 2014 to 2020 (incidence rate ratio, 0.6; 95% CI, 0.5-0.7; P < .0001) (Figure 1). Trend analysis estimated that the rate of HO-NTM decreased by 10% per year (95% CI, 8-12%; P < .0001) (Figure 2). [Figure: see text] Incidence rates of NTM episodes observed from 2014-2020 at a 7-hospital cohort. Admitted epsiodes consisted of episodes that were hospital-onset (HO) or not HO. [Figure: see text] Log regression model of hospital-onset NTM incidence rates from 2014-2020 within a 7-hospital cohort. The fit plot displays predicted values with 95% confidence limits and observed rates. CONCLUSION: Network HO-NTM incidence rates decreased from 2014-2020, but rates varied substantially at individual hospitals. These results provide comprehensive data on HCFA-NTM isolation, including rates that can serve as external benchmarks. Given hospital variability, NTM surveillance at the individual hospital level is paramount. DISCLOSURES: Arthur W. Baker, MD, MPH, Insmed: Grant/Research Support|Medincell: Advisor/Consultant Ricardo M. La Hoz, MD, Takeda: Advisor/Consultant Melissa B. Miller, PhD, BioFire: Advisor/Consultant|BioFire: Honoraria|Cantata Bio: Grant/Research Support|Luminex Molecular Diagnostics: Advisor/Consultant|Luminex Molecular Diagnostics: Honoraria|MiraVista Diagnostics: Advisor/Consultant|MiraVista Diagnostics: Honoraria|QIAGEN: Advisor/Consultant|QIAGEN: Grant/Research Support|QIAGEN: Honoraria David J. Weber, MD, MPH, BD: Advisor/Consultant|Germitic: Advisor/Consultant|GSK: DSMB|PDI: Advisor/Consultant|Pfizer: Advisor/Consultant|Wellair: Advisor/Consultant Barbara D. Alexander, MD, F2G Pharmaceuticals: Advisor/Consultant|HealthTrackRx: Advisor/Consultant|HealthTrackRx: Board Member|Leadiaint: Grant/Research Support|Merck: Advisor/Consultant|Scynexis: Grant/Research Support|Thermofisher: Advisor/Consultant Jason E. Stout, MD, MHS, AN2 pharmaceuticals: Grant/Research Support |
format | Online Article Text |
id | pubmed-10677256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106772562023-11-27 1868. Epidemiology of Healthcare Facility-Associated Nontuberculous Mycobacteria at a 10-Hospital Network Baker, Arthur W La Hoz, Ricardo M Anesi, Judith A Kwon, Jennie H Wasylyshyn, Anastasia Ford, Emily S Harrington, Susan Miller, Melissa B Weber, David J Sickbert-Bennett, Emily Talbot, Thomas R Nguyen, M Hong Kramer, Kailey Hughes Nickel, Katelin B Maged, Ahmed Haridy, Salah Alexander, Barbara D Stout, Jason E Anderson, Deverick J Open Forum Infect Dis Abstract BACKGROUND: Numerous studies have reported that rates of nontuberculous mycobacteria (NTM) infections are increasing. However, data on the epidemiology of healthcare facility-associated (HCFA) NTM are sparse. We performed a multicenter longitudinal study to analyze the epidemiology of NTM at a network of U.S. academic hospitals. METHODS: We retrospectively analyzed data on positive cultures for NTM obtained from 2012-2020 at a network of 10 U.S. academic hospitals and associated clinics (Table). Variables analyzed included NTM species, specimen source, and hospital admission status. A unique NTM episode was defined as a patient’s first positive culture for a particular NTM species and specimen source category (pulmonary vs. extrapulmonary). Episodes linked to isolates obtained on day 3 or later of hospitalization were considered to represent hospital-onset (HO) NTM. Seven hospitals contributed at least 12 months of baseline data prior to January 2014, and within this closed cohort, trends of NTM incidence rates were estimated with log regression. [Figure: see text] Characteristics of a 10-hospital network that performed retrospective culture-based NTM surveillance from 2012-2020. RESULTS: Across the 10-hospital network, 24,376 total NTM isolates were identified during 19,248,137 patient-days of surveillance; 12,847 (53%) isolates represented unique NTM episodes. Of these episodes, 3,044 (24%) were HO-NTM, which were most commonly caused by M. avium complex (n=1,466, 48%), M. abscessus complex (n=397, 13%), and M. chelonae-M. immunogenum (n=348, 11%). For 595 (20%) HO episodes, specimen source was extrapulmonary. Individual hospital incidence rates of HO-NTM were highly variable with a median rate of 1.1 episodes per 10,000 patient-days (range, 0.4 – 5.5 episodes) (Table). For the 7-hospital closed cohort, the HO-NTM incidence rate decreased from 2.3 to 1.4 episodes per 10,000 patient-days from 2014 to 2020 (incidence rate ratio, 0.6; 95% CI, 0.5-0.7; P < .0001) (Figure 1). Trend analysis estimated that the rate of HO-NTM decreased by 10% per year (95% CI, 8-12%; P < .0001) (Figure 2). [Figure: see text] Incidence rates of NTM episodes observed from 2014-2020 at a 7-hospital cohort. Admitted epsiodes consisted of episodes that were hospital-onset (HO) or not HO. [Figure: see text] Log regression model of hospital-onset NTM incidence rates from 2014-2020 within a 7-hospital cohort. The fit plot displays predicted values with 95% confidence limits and observed rates. CONCLUSION: Network HO-NTM incidence rates decreased from 2014-2020, but rates varied substantially at individual hospitals. These results provide comprehensive data on HCFA-NTM isolation, including rates that can serve as external benchmarks. Given hospital variability, NTM surveillance at the individual hospital level is paramount. DISCLOSURES: Arthur W. Baker, MD, MPH, Insmed: Grant/Research Support|Medincell: Advisor/Consultant Ricardo M. La Hoz, MD, Takeda: Advisor/Consultant Melissa B. Miller, PhD, BioFire: Advisor/Consultant|BioFire: Honoraria|Cantata Bio: Grant/Research Support|Luminex Molecular Diagnostics: Advisor/Consultant|Luminex Molecular Diagnostics: Honoraria|MiraVista Diagnostics: Advisor/Consultant|MiraVista Diagnostics: Honoraria|QIAGEN: Advisor/Consultant|QIAGEN: Grant/Research Support|QIAGEN: Honoraria David J. Weber, MD, MPH, BD: Advisor/Consultant|Germitic: Advisor/Consultant|GSK: DSMB|PDI: Advisor/Consultant|Pfizer: Advisor/Consultant|Wellair: Advisor/Consultant Barbara D. Alexander, MD, F2G Pharmaceuticals: Advisor/Consultant|HealthTrackRx: Advisor/Consultant|HealthTrackRx: Board Member|Leadiaint: Grant/Research Support|Merck: Advisor/Consultant|Scynexis: Grant/Research Support|Thermofisher: Advisor/Consultant Jason E. Stout, MD, MHS, AN2 pharmaceuticals: Grant/Research Support Oxford University Press 2023-11-27 /pmc/articles/PMC10677256/ http://dx.doi.org/10.1093/ofid/ofad500.1696 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Baker, Arthur W La Hoz, Ricardo M Anesi, Judith A Kwon, Jennie H Wasylyshyn, Anastasia Ford, Emily S Harrington, Susan Miller, Melissa B Weber, David J Sickbert-Bennett, Emily Talbot, Thomas R Nguyen, M Hong Kramer, Kailey Hughes Nickel, Katelin B Maged, Ahmed Haridy, Salah Alexander, Barbara D Stout, Jason E Anderson, Deverick J 1868. Epidemiology of Healthcare Facility-Associated Nontuberculous Mycobacteria at a 10-Hospital Network |
title | 1868. Epidemiology of Healthcare Facility-Associated Nontuberculous Mycobacteria at a 10-Hospital Network |
title_full | 1868. Epidemiology of Healthcare Facility-Associated Nontuberculous Mycobacteria at a 10-Hospital Network |
title_fullStr | 1868. Epidemiology of Healthcare Facility-Associated Nontuberculous Mycobacteria at a 10-Hospital Network |
title_full_unstemmed | 1868. Epidemiology of Healthcare Facility-Associated Nontuberculous Mycobacteria at a 10-Hospital Network |
title_short | 1868. Epidemiology of Healthcare Facility-Associated Nontuberculous Mycobacteria at a 10-Hospital Network |
title_sort | 1868. epidemiology of healthcare facility-associated nontuberculous mycobacteria at a 10-hospital network |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677256/ http://dx.doi.org/10.1093/ofid/ofad500.1696 |
work_keys_str_mv | AT bakerarthurw 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT lahozricardom 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT anesijuditha 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT kwonjennieh 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT wasylyshynanastasia 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT fordemilys 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT harringtonsusan 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT millermelissab 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT weberdavidj 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT sickbertbennettemily 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT talbotthomasr 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT nguyenmhong 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT kramerkaileyhughes 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT nickelkatelinb 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT magedahmed 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT haridysalah 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT alexanderbarbarad 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT stoutjasone 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork AT andersondeverickj 1868epidemiologyofhealthcarefacilityassociatednontuberculousmycobacteriaata10hospitalnetwork |