Literature DB >> 32727621

Allocation of the ICU wards according to the patient's infection condition: a measure to improve antibiotic resistance.

Yefei Zhan1,2, Peifu Chen1,2, Jieqiong Chen1,2, Hua Wang1,2, Zhaojun Xu3,4, Yu Chen5,6.   

Abstract

Entities:  

Keywords:  Environmental contamination; Intensive care unit; Isolation precaution; Multidrug-resistant organism; Nosocomial infections

Mesh:

Year:  2020        PMID: 32727621      PMCID: PMC7391594          DOI: 10.1186/s13054-020-03192-y

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


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Pathogens are known to survive on surfaces in health care environments despite routine cleaning and nearly always cause nosocomial infections [1-3]. The number of health care-associated infections is progressively increasing and the extent of multidrug-resistant organisms (MDROs) in medical institutions is of worldwide concern and continues to challenge infection control [4, 5]. The aim of our study was to find the simplest and most effective way to reduce the spread of MDROs by using “infection grade ward isolation” (IGWI). We conducted a 1-year prospective study to evaluate the impact of the IGWI method on MDRO environmental contamination and colonization in the intensive care unit (ICU). The study comprised a 3-month baseline period and a 9-month intervention period. The baseline period ranged from March 1, 2018, to May 31, 2018. There was no difference between ICU-1 (10 single rooms and 5 double rooms with 20 beds) and ICU-2 (newly built, 2 multi-bed rooms with 12 beds) in terms of patient admission, medication, and ward disinfection. The intervention period lasted from June 1, 2018, to February 28, 2019. During this period, IGWI was implemented; patients with MDRO infections or who used more than a third-generation cephalosporins or other strong antibiotics were not allowed into ICU-2, and patients in ICU-2 needing advanced antibiotics or with newly found MDROs were quickly transferred to ICU-1. Both wards had noninterchangeable equipment, work clothes, and noninteracting staff. Samples from five different surfaces—an air conditioning vent, an oxygenation probe, an intravenous pump, a bed rail button, and a sheet (from around the perineal area of the patient)—from 32 beds (20 beds in ICU-1 and 12 beds in ICU-2) were collected on sterile rayon swabs each month, which were then cultured for the presence of MDROs. We collected 1920 swabs over 1 year—1200 from ICU-1 and 720 from ICU-2—480 were collected during the baseline period and 1440 during the intervention period. Of these 1920 swabs, 73 were MDRO positive (Table 1). During the baseline period, the MDRO detection rate was 6.7 ~ 10.0% (Table 2), and there was no difference in the incidence of MDROs (6.7 vs. 10.0%, P = 0.109, Table 2) between ICU-2 and ICU-1. During the intervention period using the IGWI method, the MDRO overall detection rate in for both ICU wards was reduced to 0 ~ 3.4% (Table 2). The positive rate of MDROs in the sample cultures was greater in ICU-1 than in ICU-2 (3.4 vs. 0%, P = 0.007). Both wards had a greater proportion of positive results for MDROs during the baseline stage than after the intervention (ICU-1 10 vs. 3.4%, respectively, P < 0.001; ICU-2 6.7 vs. 0%, respectively, P < 0.001; Table 2).
Table 1

MDROs found from the five contact surface samples

ICU wardsPeriodTimeMDROsCRABCREESBLsMDR-ABMRSAMRSE
(n = 73)(Bed No.+ Surface)(Bed No.+ Surface)(Bed No.+ Surface)(Bed No.+ Surface)(Bed No.+ Surface)(Bed No.+ Surface)
ICU-1Baseline2018, Mar917I2B2A, 7S, 20B, 20A, 20I13B12S
2018, Apr1112S7I, 17I, 16S, 5A, 17S, 4I, 13O1A, 10S, 13A,
2018, May1017A, 17S, 12S, 12B, 17B, 7I, 7S, 7A, 17O, 11B
Intervention2018, Jun419B15B, 18S, 17B,
2018, Jul714S7S, 6S, 1O, 18A2O, 1A,
2018, Aug12A
2018, Sep216A, 14A
2018, Oct45A2I, 18O, 2S
2018, Nov216A2S
2018, Dec13S
2019, Jan312A9I20B
2019, Feb75S10S9B, 1A4S, 11A, 3A
ICU-2Baseline2018, Mar76O4O, 6B, 6S, 8S, 11B, 11S
2018, Apr44B4S, 6B, 9B
2018, May18I
Intervention2018, Jun0
2018, Jul0
2018, Aug0
2018, Sep0
2018, Oct0
2018, Nov0
2018, Dec0
2019, Jan0
2019, Feb0

MDROs multidrug-resistant organisms, ICU intensive care unit, MDR-AB multidrug-resistant Acinetobacter baumannii, CRE carbapenem-resistant enterobacteria, CRAB carbapenem-resistant A. baumannii, MRSA methicillin-resistant Staphylococcus aureus, MRSE methicillin-resistant S. epidermidis, ESBLs extended-spectrum β-lactamase (ESBL)–producing Escherichia coli (E. coli) and Klebsiella pneumoniae (K. pneumoniae), A air conditioning vent, B bed rail button, O oxygenation probe, I intravenous pump, S sheet (perineal area)

Table 2

Positive cultures of MDROs from samples taken from contact surfaces during the 1-year study

TimeMDROs [n (%)]P value
ICU-1 [n/N (n%), N = 100]ICU-2 [n/N (n%), N = 60]
Baseline30/300 (10.0%)12/180 (6.7%)0.109
 2018, Mar9/100 (9.0%)7/60 (11.7%)
 2018, Apr11/100 (11.0%)4/60 (6.7%)
 2018, May10/100 (10.0%)1/60 (1.7%)
Intervention31/900 (3.4%)0/540 (0.0%)0.007
 2018, Jun4/100 (4.0%)0/60 (0.0%)
 2018, Jul7/100 (7.0%)0/60 (0.0%)
 2018, Aug1/100 (1.0%)0/60 (0.0%)
 2018, Sep2/100 (2.0%)0/60 (0.0%)
 2018, Oct4/100 (4.0%)0/60 (0.0%)
 2018, Nov2/100 (2.0%)0/60 (0.0%)
 2018, Dec1/100 (1.0%)0/60 (0.0%)
 2019, Jan3/100 (3.0%)0/60 (0.0%)
 2019, Feb7/100 (7.0%)0/60 (0.0%)
Pvalue<0.001<0.001

ICU intensive care unit, MDROs multidrug-resistant organisms

MDROs found from the five contact surface samples MDROs multidrug-resistant organisms, ICU intensive care unit, MDR-AB multidrug-resistant Acinetobacter baumannii, CRE carbapenem-resistant enterobacteria, CRAB carbapenem-resistant A. baumannii, MRSA methicillin-resistant Staphylococcus aureus, MRSE methicillin-resistant S. epidermidis, ESBLs extended-spectrum β-lactamase (ESBL)–producing Escherichia coli (E. coli) and Klebsiella pneumoniae (K. pneumoniae), A air conditioning vent, B bed rail button, O oxygenation probe, I intravenous pump, S sheet (perineal area) Positive cultures of MDROs from samples taken from contact surfaces during the 1-year study ICU intensive care unit, MDROs multidrug-resistant organisms We found a very effective technique—the IGWI method—that in essence helps prevent non-MDRO-infected patients who enter the ICU from coming into contact with MDRO environment. The IGWI method has two criteria for distinguishing ICU patients—whether the patients are infected by MDROs or are using or in need of advanced antibiotics. Currently, ICU departments are always divided into different wards to receive patients with different diseases. Many patients who are not infected with drug-resistant bacteria could be exposed to a bad ICU environment and become innocent victims of environmental contamination. For quarantined patients, the unconscious negligence of a person or a link often results in quarantine failure [6] and risks drug-resistant bacterial infection of those patients with nonresistant bacterial infections [3]. This study found that breaking the traditional protocol and using the IGWI method to differentiate patients in different ICU wards would greatly reduce the environmental MDRO infection rate.
  6 in total

1.  Antibiotic resistant bacteria and resistance genes in biofilms in clinical wastewater networks.

Authors:  E Sib; A M Voigt; G Wilbring; C Schreiber; H A Faerber; D Skutlarek; M Parcina; R Mahn; D Wolf; P Brossart; F Geiser; S Engelhart; M Exner; G Bierbaum; R M Schmithausen
Journal:  Int J Hyg Environ Health       Date:  2019-03-21       Impact factor: 5.840

Review 2.  Antimicrobial resistance: A global emerging threat to public health systems.

Authors:  Maurizio Ferri; Elena Ranucci; Paola Romagnoli; Valerio Giaccone
Journal:  Crit Rev Food Sci Nutr       Date:  2017-09-02       Impact factor: 11.176

3.  Multidrug-resistant organisms on patients hands in an ICU setting.

Authors:  Aaron N Dunn; Curtis J Donskey; Steven M Gordon; Abhishek Deshpande
Journal:  Infect Control Hosp Epidemiol       Date:  2020-02       Impact factor: 3.254

4.  Multistate point-prevalence survey of health care-associated infections.

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

5.  Sphygmomanometers and thermometers as potential fomites of Staphylococcus haemolyticus: biofilm formation in the presence of antibiotics.

Authors:  Bruna Pinto Ribeiro Sued; Paula Marcele Afonso Pereira; Yuri Vieira Faria; Juliana Nunes Ramos; Vanessa Batista Binatti; Kátia Regina Netto Dos Santos; Sérgio Henrique Seabra; Raphael Hirata; Verônica Viana Vieira; Ana Luíza Mattos-Guaraldi; José Augusto Adler Pereira
Journal:  Mem Inst Oswaldo Cruz       Date:  2017-02-16       Impact factor: 2.743

Review 6.  Environmental factors influencing the development and spread of antibiotic resistance.

Authors:  Johan Bengtsson-Palme; Erik Kristiansson; D G Joakim Larsson
Journal:  FEMS Microbiol Rev       Date:  2018-01-01       Impact factor: 16.408

  6 in total

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