A Doran Bostwick1,1, Barbara E Jones1,1, Robert Paine1, Matthew Bidwell Goetz2, Matthew Samore3,4, Makoto Jones3,4. 1. Division of Pulmonary and Critical Care Medicine and. 2. Infectious Diseases Section, Veterans Affairs Greater Los Angeles Healthcare System and David Geffen School of Medicine at UCLA, Los Angeles, California. 3. Division of Epidemiology and Infectious Disease, University of Utah, Salt Lake City, Utah. 4. Division of Epidemiology and Infectious Disease, Salt Lake City Veterans Affairs Health System, Salt Lake City, Utah; and.
Abstract
Rationale: The 2016 guidelines for hospital-acquired pneumonia (HAP) suggest applying a universal antibiogram resistance threshold in addition to patient criteria to determine empiric coverage. The impact of these recommendations is unknown. Objectives: 1) Describe national antibiotic use and microbiology patterns for HAP among patients with noninfectious admissions, 2) measure the predictive performance of the antibiogram threshold and risk factors, and 3) estimate the change in practice with guideline implementation. Methods: We conducted a retrospective analysis of all hospitalizations without initial infection but with secondary pneumonia diagnoses at Veterans Affairs Medical Centers between October 1, 2012, and September 30, 2015. For each hospitalization we extracted: presence of methicillin-resistant Staphylococcus aureus (MRSA) and resistant gram-negative rods (R-GNR) in cultures, anti-MRSA and antipseudomonal antimicrobial administration, and facility-level prevalence of MRSA and R-GNR. We calculated the percentage of hospitalizations with resistant organisms, broad-spectrum antibiotics, and the predictive performance of patient characteristics and prevalence thresholds for MRSA. Results: Among 3,562 cases, 5.17% were positive for MRSA and 2.30% for R-GNR. The recommended MRSA prevalence threshold was 100.00% sensitive (95% confidence interval [CI], 98.02-100.00%) and 0.03% specific (95% CI, 0.00-0.16%) for MRSA-positive culture, leading to overtreatment of 94.81% (95% CI, 94.02-95.50%) of patients. Pressor order (odds ratio [OR], 3.89; 95% CI, 1.17-12.91) and intravenous antibiotics within the past 90 days (OR, 1.98; 95% CI, 1.03-3.81) were associated with MRSA. Mechanical ventilation was associated with R-GNR (OR, 4.37; 95% CI, 1.52-12.57).Conclusions: The guideline-recommended antibiogram threshold and characteristics did not improve prediction of MRSA or R-GNR and would have led to an increase in MRSA treatment.
Rationale: The 2016 guidelines for hospital-acquired pneumonia (HAP) suggest applying a universal antibiogram resistance threshold in addition to patient criteria to determine empiric coverage. The impact of these recommendations is unknown. Objectives: 1) Describe national antibiotic use and microbiology patterns for HAP among patients with noninfectious admissions, 2) measure the predictive performance of the antibiogram threshold and risk factors, and 3) estimate the change in practice with guideline implementation. Methods: We conducted a retrospective analysis of all hospitalizations without initial infection but with secondary pneumonia diagnoses at Veterans Affairs Medical Centers between October 1, 2012, and September 30, 2015. For each hospitalization we extracted: presence of methicillin-resistant Staphylococcus aureus (MRSA) and resistant gram-negative rods (R-GNR) in cultures, anti-MRSA and antipseudomonal antimicrobial administration, and facility-level prevalence of MRSA and R-GNR. We calculated the percentage of hospitalizations with resistant organisms, broad-spectrum antibiotics, and the predictive performance of patient characteristics and prevalence thresholds for MRSA. Results: Among 3,562 cases, 5.17% were positive for MRSA and 2.30% for R-GNR. The recommended MRSA prevalence threshold was 100.00% sensitive (95% confidence interval [CI], 98.02-100.00%) and 0.03% specific (95% CI, 0.00-0.16%) for MRSA-positive culture, leading to overtreatment of 94.81% (95% CI, 94.02-95.50%) of patients. Pressor order (odds ratio [OR], 3.89; 95% CI, 1.17-12.91) and intravenous antibiotics within the past 90 days (OR, 1.98; 95% CI, 1.03-3.81) were associated with MRSA. Mechanical ventilation was associated with R-GNR (OR, 4.37; 95% CI, 1.52-12.57).Conclusions: The guideline-recommended antibiogram threshold and characteristics did not improve prediction of MRSA or R-GNR and would have led to an increase in MRSA treatment.
Authors: Ignacio Martin-Loeches; Maria Deja; Despoina Koulenti; George Dimopoulos; Brian Marsh; Antonio Torres; Michael S Niederman; Jordi Rello Journal: Intensive Care Med Date: 2013-01-29 Impact factor: 17.440
Authors: Pervin Korkmaz Ekren; Otavio T Ranzani; Adrian Ceccato; Gianluigi Li Bassi; Eva Muñoz Conejero; Miquel Ferrer; Michael S Niederman; Antoni Torres Journal: Am J Respir Crit Care Med Date: 2018-03-15 Impact factor: 21.405
Authors: Doo Ryeon Chung; Jae-Hoon Song; So Hyun Kim; Visanu Thamlikitkul; Shao-Guang Huang; Hui Wang; Thomas Man-Kit So; Rohani M D Yasin; Po-Ren Hsueh; Celia C Carlos; Li Yang Hsu; Latre Buntaran; M K Lalitha; Min Ja Kim; Jun Yong Choi; Sang Il Kim; Kwan Soo Ko; Cheol-In Kang; Kyong Ran Peck Journal: Am J Respir Crit Care Med Date: 2011-09-15 Impact factor: 21.405
Authors: Margaret A Dudeck; Lindsey M Weiner; Katherine Allen-Bridson; Paul J Malpiedi; Kelly D Peterson; Daniel A Pollock; Dawn M Sievert; Jonathan R Edwards Journal: Am J Infect Control Date: 2013-12 Impact factor: 2.918
Authors: Shelley S Magill; Jonathan R Edwards; Wendy Bamberg; Zintars G Beldavs; Ghinwa Dumyati; Marion A Kainer; Ruth Lynfield; Meghan Maloney; Laura McAllister-Hollod; Joelle Nadle; Susan M Ray; Deborah L Thompson; Lucy E Wilson; Scott K Fridkin Journal: N Engl J Med Date: 2014-03-27 Impact factor: 91.245
Authors: Jordi Vallés; Ignacio Martin-Loeches; Antoni Torres; Emili Diaz; Iratxe Seijas; Maria José López; Pau Garro; Carlos Castillo; Jose Garnacho-Montero; María del Mar Martin; Maria Victoria de la Torre; Pedro Olaechea; Catia Cilloniz; Jordi Almirall; Fernando García; Roberto Jiménez; Estrella Seoane; Cruz Soriano; Eduard Mesalles; Pilar Posada Journal: Intensive Care Med Date: 2014-03-18 Impact factor: 17.440
Authors: Ryan J McGuire; Sean C Yu; Philip R O Payne; Albert M Lai; M Cristina Vazquez-Guillamet; Marin H Kollef; Andrew P Michelson Journal: Antimicrob Agents Chemother Date: 2021-06-17 Impact factor: 5.191