Literature DB >> 33832538

Risk factors for nosocomial rectal colonization with carbapenem-resistant Acinetobacter baumannii in hospital: a matched case-control study.

Marianna Meschiari1, Shaniko Kaleci2, Gabriella Orlando3, Silvia Selmi3, Antonella Santoro3, Erica Bacca3, Marianna Menozzi3, Erica Franceschini3, Cinzia Puzzolante3, Andrea Bedini3, Mario Sarti4, Claudia Venturelli4, Elena Vecchi5, Cristina Mussini3.   

Abstract

BACKGROUND: During the last decade carbapenem-resistant Acinetobacter baumannii (CRAB) became hyper-endemic in hospitals due to difficult to control spreading. Our aim is to identify risk factors for nosocomial rectal CRAB colonization in an endemic hospital.
METHODS: A retrospective matched case-control study (ratio 1:2) with a prospective inclusion of cases and concurrent selection of controls was conducted from January 2017 to December 2018 in a tertiary-care hospital. Universal active surveillance for CRAB was implemented. Univariate and multivariate logistic regression was carried out using a stepwise selection method to compare prognostic factors between cases and controls. A sub-analysis was carried out according to the type of department.
RESULTS: Forty-five cases with nosocomial rectal CRAB colonization and 90 controls were included. One hundred and two (75%) patients were hospitalized in medical departments. At multivariable analysis significant risk factors associated with CRAB colonization were: use of permanent devices (OR 10.15, 95% CI 2.27-45.39; P = 0.002), mechanical ventilation (OR 40.01, 95% CI 4.05-395.1; P = 0.002), urinary catheters (OR 4.9, 95% CI 1.52-16.19; P = 0.008), McCabe score (OR 5.45, 95% CI 1.87-15.89; P = 0.002), length of stay (OR 1.03, 95% CI 1.01-1.05; P = 0.002), carbapenem use (OR 5.39, 95% CI 1.14-25.44; P = 0.033). The sub-analysis showed that patients admitted to different departments had different risk factors. In geriatric department a fatal disease and a longer hospital stay represented significant risk factors both in univariate and multivariate analysis, while in internal medicine department the use of permanent devices, current antibiotic therapy and antibiotic polytherapy represented significant risk factors for CRAB at the univariate analysis, also confirmed in multivariate analysis.
CONCLUSIONS: Our data suggest that active surveillance for rectal CRAB colonization should be addressed to patients with an unfavourable prognosis, longer hospitalizations and carriers of multiple devices. To counter CRAB spreading in endemic settings, clinicians must limit the use of carbapenems, and reinforce interventions aimed at proper use of devices.

Entities:  

Keywords:  Carbapenem-resistant Acinetobacter baumannii; Endemic hospital; Rectal colonization; Risk factors; Surveillance

Mesh:

Substances:

Year:  2021        PMID: 33832538      PMCID: PMC8028794          DOI: 10.1186/s13756-021-00919-6

Source DB:  PubMed          Journal:  Antimicrob Resist Infect Control        ISSN: 2047-2994            Impact factor:   4.887


Background

Carbapenem-resistant Acinetobacter baumannii (CRAB) is emerging worldwide as a major cause of healthcare-associated infections (HAIs), especially in intensive care units (ICUs) [1-4]. Worryingly, during the last decade, the Italian antimicrobial resistance rates were among the highest in Europe and CRAB became hyper-endemic [5]. Its growing importance in the hospital setting is due both to the ability of these bacteria to accumulate mechanisms of resistance to antibiotics, and the ability to survive in unfavourable conditions for long periods of time [6]. CRAB infections frequently occur in patients with severe underlying diseases, the critically ill, the elderly, immunocompromised, severely debilitated or with life-threatening conditions and also in patients transferred from long-term health care facilities (LTHCFs) [7, 8]. Risk factors mainly associated with CRAB infection and colonization are invasive procedures, indwelling devices and previous antibiotic treatment [9]. Moreover, cross-transmission of CRAB among hospitalized patients is promoted by poor adherence to hand hygiene practices and by repeated contact with the contaminated environment [4, 10–13]. Therefore, the rapid identification of CRAB asymptomatic carrier could allow an earlier introduction of infection contact precautions to prevent transmission to other patients and to the hospital environment [14]. An early recognition of CRAB carrier can also assist to identifying patients at risk of subsequent CRAB infection. Indeed, Latibeaudiere et al. demonstrated that previous CRAB colonization increased by 8 times the risk to develop a CRAB infection [4, 15]. Several studies have been carried out worldwide with the aim of identifying risk factors for colonization and infection with A. baumannii, in particular focusing on CRAB [16-19]. Unfortunately, most of these studies were retrospective and conducted during CRAB outbreaks. Furthermore, many studies were limited to ICUs where colonization and infections with Acinetobacter spp. are more frequent [1, 16, 20, 21], while only a few studies investigated non-ICUs settings [3, 19]. Only two studies involved LTHCFs [17, 22]. The most common outcome was risk factors for CRAB infection and subsequent mortality. These heterogeneous studies conducted in different epidemiological situations had methodological limitations mainly due to different selection criteria between cases and controls, and did not allow conclusive findings [1, 20, 23, 24]. This study aims to identify the main risk factors associated with rectal CRAB nosocomial colonization in a CRAB-endemic acute care facility.

Methods

Setting and definitions

The study was conducted from January 2017 to December 2018 at the Modena University Hospital, a tertiary-care hospital with 1200 beds. The region is endemic for CRAB, thus, according to hospital infection control policy, a universal active surveillance was implemented during the study period with a rectal swab performed at hospital admission and repeated weekly in the whole hospital. Here in details our surveillance protocol: since the beginning of 2014 due to the increasing rate of Carbapenem-resistant Gram-negative organisms (CRGNOs), we decided to abolish target screening, based on specific risk factors contained in the regional chart, in favor of the introduction of mandatory universal screening on admission and repeated weekly according to the result obtained by wo serial point prevalence survey. We divided the whole hospital in high-risk wards (with mandatory universal screening on admission and weekly screening for contacts) and low-risk ones (with non-systematic screening on admission, but with weekly contacts screening only in case of positive carrier); a carrier was considered positive until discharge, and for almost a year after first CRGNOs isolate. Contact precautions for all CRGNOs including CRAB infected patients and asymptomatic carriers included: single room, cohorting or spatial isolation; alert code out of the rooms and on the bed, staff wear gown and gloves upon entry to a room; single-use or patient-dedicated non-critical care equipment. A matched case–control study with a prospective inclusion of cases and concurrent selection of controls (ratio 1:2) was designed. A patient was defined as a case meeting all of the following criteria: nosocomial isolation of a CRAB strain from rectal swab screening (isolated ≥ 72 h from admission time), a negative rectal swab at hospital admission and no isolation of CRAB from any biological sample in the previous 6 months. Two controls were individually matched to each case by age, date of screening and department at the time of screening. Controls were selected among patients with a negative rectal swab for CRAB on admission and on the same day as the matched case. Similar to cases, controls had a hospital stay at time of screening longer than 4 days and no isolation of CRAB from any biological sample in the previous 6 months. Several risk factors, based on previous literature studies were investigated and included both patient-related risk factors, such as age or the presence of comorbidities and extrinsic risk factors related to patient hospitalization. The following data were collected: age, sex, length of hospital stay (LOS) at time of positive screening, previous ICU stay, provenance of patients at admission, overall mortality at 90 days, previous hospitalizations within 6 months, comorbidities, assessed by the Charlson Comorbidity Index (CCI) and specific covariates composing the index [25], McCabe prognostic classification score [26], disabilities defined as independence in activities of daily living, permanent devices (including indwelling urinary catheters), exposure to invasive devices and medical procedures during hospitalization, immunosuppressive therapies (chemotherapy or minimum dose of 0.3 mg/kg/day of prednisone equivalent for > 3 weeks) and antibiotic administration prior CRAB colonization distinguishing between before and during the hospitalization (≤ 30 days before the admission). Antibiotic polytherapy was defined as two or more classes of antibiotics simultaneously prescribed. The size of the study sample was calculated to detect associations with an odds ratio (OR) = 3.5, considering an error of 5%, power of 80%, and proportion of exposed controls of 25%, and allowing for the matched study design. A specific study form has been used to collect data from hospital medical charts. The microbiology laboratory provided the list of potential matched controls for each identified case, ordered by the laboratory request code of the screening test. The list included all patients meeting the criteria for controls described above. All eligible cases and 2 matched controls were selected consecutively. This study was approved by the Modena University Hospital Institutional Ethics Committee with the following approval number: AOU 0025972/19 on the 25/09/2019. No written informed consent was provided to patients as all data were analysed anonymously after a de-identification process.

Microbiological methods

All isolates were identified by MALDI-TOF MS using the VITEK MS (bioMérieux, Marcy l´Etoile, France) following the manufacturer’s instructions. Antimicrobial susceptibility testing was performed by microdilution method using the antimicrobial susceptibility testing ITGNEGF panel (MICRONAUT, Merlin, Germany).

Statistical analysis

Descriptive statistics were performed for baseline demographic clinical characteristics of the entire group, as well as the groups of patients with and without colonization with CRAB. Continuous variables were presented as the number of patients (N), mean, standard deviation (SD). Unpaired Student's t test was used to compare groups. Categorical variables were presented as frequency (N, percentage [%]) and compared using Pearson's chi-squared test (Fisher’s exact test was used for those variables with less than 5 events). A multivariate logistic regression model was carried out using a stepwise selection method to identify the prognostic factors between cases and controls. In the first step, the intercept-only model was fitted and individual score statistics for the potential variables were evaluated. A significance level of P < 0.05 was used to allow a variable into the model. In stepwise selection, an attempt was made to remove any insignificant variables from the model before adding a significant variable to the model. Hosmer and Lemeshow tests were used to evaluate “goodness of fit” in the selection model. Data from the univariate and multivariate logistic regression analyses were expressed as odds ratio (OR) and 95% confidence interval (CI). A P < 0.05 was considered statistically significant. Statistical analysis was performed using STATA® software version 14 (StataCorp. 2015. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP.).

Results

In this study, 45 (33.4%) patients colonized with CRAB were considered as cases; for each patient two controls were selected up to a total of 90 (66.6%) controls. One hundred and two (75.5%) patients were hospitalized in medical departments, including geriatric and internal medicine, 21 (15.5%) patients in ICUs and 12 (9%) in surgical departments. The baseline characteristics of the two matching groups and the comparisons are described in Table 1.
Table 1

Demographic and clinical characteristics of patients colonized with CRAB and matched controls

VariablesControlsCasesTotalP value
N = 90 (66.6%)N = 45 (33.4%)N = 135
N%N%N%
Age (years), Mean ± SD (range)76 ± 15 (18–94)75 ± 16 (18–95)75.7 ± 16 (18–95)0.769
Male, sex5965.62657.885630.378
LOS, mean ± SD (range)26.8 ± 23.3 (3–127)48.7 ± 34.0 (7–159)34.1 ± 29.1 (3–159)< 0.001
ICU stay18202044.43828.10.003
aDeaths12.9529.4611.80.006
Provenance of patient at admission
Home8392.23680.011988.20.003
LTHCF11.1715.685.9
Other hospital66.724.485.9
bRecent hospitalization66.7817.81410.40.046
Charlson Comorbidity Index, Mean ± SD (range)5.9 ± 2.5 (0–12)6.9 ± 2.7 (0–12)6.3 ± 2.6(0–12)0.050
McCabe score
Nonfatal disease5460.02044.47454.80.019
Fatal disease (within 5 years)3640.02248.95843.0
Rapidly fatal disease (within 6 months)00.036.732.2
Major surgery ≤ 30 days before hospitalization33.324.453.70.747
Major surgery during hospitalization2022.21533.33525.90.165
Diagnosis at hospital admission
Infection5460.03271.18663.70.115
Polytrauma1718.924.41914.1
Cardiovascular disease1516.71022.22518.5
Cancer44.412.253.7
Presence of intrinsic risk factors and comorbidities
Chronic heart failure4853.32862.27656.30.326
Hypertension5763.32964.48663.70.899
Peripheral vascular disease2224.42044.44231.10.018
Stroke or TIA2730.01840.04533.30.245
Dementia2224.41840.04029.60.062
COPD1617.81022.22619.30.537
Chronic hepatitis88.936.7118.10.656
Gastrointestinal disease3640.01226.74835.60.127
Solid neoplasia & haematological neoplasia2831.11533.34331.80.693
CKD3336.71328.94634.10.369
Diabetes mellitus2224.41533.33727.40.275
Disability0.00.00
No disability6875.62248.99066.70.003
Partial1516.71124.42619.3
Bedridden77.81226.71914.1
Permanent devices66.71124.41712.60.003
Presence of extrinsic risk factors
Central vascular catheterization77.82146.72820.7< 0.001
PICC or midline66.71124.41712.60.003
Urinary catheter3842.23782.27555.6< 0.001
Naso-gastric tube88.91328.92115.60.003
PEG11.1511.164.40.008
Tracheostomy33.31226.71511.1< 0.001
Mechanical ventilation77.81022.21712.60.017
Dialysis33.336.764.40.376
Blood transfusion2426.71124.43525.90.781
Antibiotics ≤ 30 days before hospitalization910.0920.01813.30.113
Chemotherapy33.3613.396.70.028
Corticosteroid therapy1516.71635.631230.014
cAntibiotics during hospitalization6572.24395.6108800.001
3GC2628.92044.44634.10.087
Carbapenems55.61328.91813.3< 0.001
Penicillins4752.23168.97857.80.086
Fluoroquinolones1314.41226.72518.50.097
Glycopeptides1112.21533.32619.30.004
dPolytherapy2224.42657.84835.6< 0.001
Number of antibiotics used in the hospitalization, mean ± SD (range)1.53 ± 1.44 (0–5)3.64 ± 2.69 (0–13)2.24 ± 2.19 (0–13)< 0.001

SD, standard deviation; LOS, Length of hospital stay; ICU, Intensive care unit; LTHCF, Long-term health care facility; TIA, transient ischemic attack; COPD, Chronic obstructive pulmonary disease; CKD, chronic kidney disease; PICC, Peripherally inserted central catheter; PEG, Percutaneous endoscopic gastrostomy; NIV, Noninvasive ventilation

aThe number of deaths was defined as all-cause mortality within 90 days of hospital admission

bPrevious hospitalization within 6 months

cAntibiotic exposures spanned from hospital admission to development of CRAB colonization

dTherapy with 2 or more concurrent antibiotic classes before developing CRAB colonization

Demographic and clinical characteristics of patients colonized with CRAB and matched controls SD, standard deviation; LOS, Length of hospital stay; ICU, Intensive care unit; LTHCF, Long-term health care facility; TIA, transient ischemic attack; COPD, Chronic obstructive pulmonary disease; CKD, chronic kidney disease; PICC, Peripherally inserted central catheter; PEG, Percutaneous endoscopic gastrostomy; NIV, Noninvasive ventilation aThe number of deaths was defined as all-cause mortality within 90 days of hospital admission bPrevious hospitalization within 6 months cAntibiotic exposures spanned from hospital admission to development of CRAB colonization dTherapy with 2 or more concurrent antibiotic classes before developing CRAB colonization Several parameters proved to be statistically significant risk factors in the univariate analysis (Table 2). An ICU admission during hospitalization increased the risk of acquiring a rectal colonization with CRAB in hospital by 3.2 times, while patients transferred from a LTHCF had a 16 time higher risk of nosocomial rectal CRAB colonization compared to patients living at home. Considering comorbidities, peripheral cardiovascular disease and dementia increased the risk of being colonized with CRAB. Other variables significantly associated to risk of rectal colonization with CRAB were the use of permanent devices and the use of invasive devices in a hospital environment. Among these were the use of vascular catheters, such as central venous catheterization (CVC) or the use of Peripherally Inserted Central Catheter (PICC) or Midline, urinary catheter (UC), nasogastric tube (NG) and mechanical ventilation (MV). Other factors that were significantly associated were tracheostomy and percutaneous endoscopic gastrostomy (PEG), which respectively determined an elevated risk for rectal CRAB colonization of 10.5 and 11 times.
Table 2

Univariate and multivariate analysis of risk factors and outcomes related to CRAB colonization

VariablesUnivariate analysisMultivariate analysis
OR95% CIP valueOR95% CIP value
Age (years)0.990.97–1.010.767
Sex, male0.710.34–1.490.378
LOS1.021.01–1.04< 0.0011.031.01–1.050.002
ICU stay3.21.46–6.990.004
aDeaths5.51.77–17.010.003
Provenance of patient at admission
HomeRef.
LTHCF16.141.91–1360.011
Other hospital0.760.14–3.990.754
Recent hospitalization3.020.98–9.340.054
Charlson Comorbidity Index1.150.99–1.330.053
McCabe score, nonfatal vs. fatal disease and rapidly fatal disease2.121.08–4.140.0275.451.87–15.890.002
Major surgery ≤ 30 days before hospitalization1.340.21–8.370.748
Major surgery during hospitalization1.750.79–3.870.167
Diagnosis at hospital admission
Infectionref
Polytrauma0.190.04–0.910.038
Cardiovascular disease1.120.45–2.790.800
Cancer0.420.0.4–3.940.449
Presence of intrinsic risk factors and comorbidity
Chronic heart failure1.440.69–2.990.327
Hypertension1.040.49–2.210.899
Peripheral vascular disease2.471.15–5.280.019
Stroke or TIA1.550.73–3.280.247
Dementia2.060.95–4.430.064
COPD1.320.54–3.200.538
Chronic hepatitis, cirrhosis0.730.18–2.900.657
Gastrointestinal disease0.540.24–1.190.130
Solid neoplasia1.100.51–2.370.794
CKD0.700.32–1.520.370
Diabetes mellitus1.540.70–3.380.277
Disability
No disabilityref
Partial2.260.90–5.650.79
Bedridden5.291.85–15.120.002
Permanent devices4.521.55–13.220.00610.152.27–45.390.002
Presence of extrinsic risk factors
Central vascular catheterization10.373.93–27.32< 0.001
PICC or midline4.521.55–13.220.006
Urinary catheter7.232.91–17.96< 0.0014.961.52–16.190.008
Naso-gastric tube4.161.57–10.990.004
PEG11.121.25–98–330.030
Tracheostomy10.542.79–39.750.001
Mechanical ventilation3.381.19–9.610.02240.014.05–395.10.002
Dialysis2.070.40–10.700.385
Blood transfusion0.880.38–2.030.781
Antibiotics ≤ 30 days before hospitalization2.220.81–6.060.119
Chemotherapy4.461.06–18.760.041
Corticosteroid therapy2.751.20–6.290.016
Antibiotics during hospitalization8.261.86–36–720.005
3GC1.900.90–4.010.089
Carbapenems6.662.19–20.200.0015.391.14–25.440.033
Penicillins1.930.90–4.110.088
Fluoroquinolones2.090.86–5.080.101
Glycopeptides3.51.44–8.480.006
Polytherapy4.652.13–10.14< 0.001
Number of antibiotics used in the hospitalization, mean ± SD (range)1.731.36–2.19< 0.001

CI, confidence interval; OR, odds ratio

aModel for multivariable logistic regression included surveillance status, mechanical ventilation, sex, and exposure to any antibiotic (fit criteria quasi-likelihood criterion [QIC] = 336)

Univariate and multivariate analysis of risk factors and outcomes related to CRAB colonization CI, confidence interval; OR, odds ratio aModel for multivariable logistic regression included surveillance status, mechanical ventilation, sex, and exposure to any antibiotic (fit criteria quasi-likelihood criterion [QIC] = 336) Concerning therapy, the use of antibiotics and antibiotic polytherapy during hospitalization was found to be very strong risk factors in the univariate analysis. With regard to the different antibiotic classes, carbapenems and glycopeptides statistically increased the rate of rectal colonization with CRAB, but not the use of 3rd generation Cephalosporins (3GC). Moreover, corticosteroid therapy was found to be a significant risk factor for CRAB. In the multivariate logistic regression analysis shown in Table 2, a significant independent risk factor for rectal CRAB colonization was the use of permanent devices. The use of UC and MV increased the risk by 5 and 40 times respectively. McCabe score elevated the risk for CRAB rectal colonization by 5.45 times. Another significant risk factor was LOS. Among antibiotic exposure, only carbapenems were significantly associated with rectal CRAB. Finally, there was no association with mortality.

Subgroup analysis by department

A subgroup analysis to identify specific risk factors for rectal CRAB colonization in the different departments was performed (Table 3). We categorized the data according to the department in which the patient was hospitalized at the time of screening positive for CRAB.
Table 3

Variables associated with CRAB colonization between different departments: geriatrics, internal medicine and ICU

VariablesGeriatrics n = 51Internal medicine = 51ICU n = 21
Univariate analysisUnivariate analysisUnivariate analysis
OR95% CIP valueOR95% CIP valueOR95% CIP value
Age (years)0.990.91–1.080.8960.990.95–1.040.8610.990.95–1.030.843
Sex, male0.770.23–2.570.6820.490.15–1.590.23710.07–13.361.000
LOS1.01*0.99–1.030.0821.02*1.00–1.050.0121.030.99–1.070.134
ICU stay7.070.67–73.990.1036.521.70–25.030.0062.40.21–26.820.477
aDeaths13.751.45–129.980.02210.08–11.871.00080.96–66.440.054
Provenance of patient at admission
Homeref.ref.ref.
LTHCF4.460.37–53.700.239
Other hospital1.110.18–6.870.906
Recent hospitalization10.08–11.871.0003.170.62–16.240.1659.750.78–121.830.077
Charlson index1.150.84–1.570.3581.210.95–1.550.1131.180.83–1.670.335
McCabe Score, Nonfatal vs. fatal disease and rapidly fatal disease2.69*0.80–8.930.1070.760.21–2.680.6758.381.16–60.450.035
Major surgery during hospitalization0.690.15–3.050.6314.300.88–20.870.0704.490.54–37.370.164
Disability
No disabilityref.ref.ref.
Partial2.180.51–9.221.930.38–9.720.424110.81–147.860.070
Bedridden4.190.94–18–7011.830.12–27.79
Permanent devices5.63*1.19–26.480.0281
Presence of extrinsic risk factors
Central vascular catheterization6.661.13–39.090.036183.23–100.210.0011
PICC or midline11.600.31–8.160.5674.490.54–37.370.164
Urinary catheter10.71*2.10–54.450.00413.752.68–70.490.0022.40.21–26.820.477
Naso-gastric tube10.151.03–99.600.0474.920.80–30.250.0856.250.83–46.560.074
Mechanical ventilation10.08–11.871.00013.751.45–129.980.0223.330.50–22.140.213
Antibiotics ≤ 30 days before hospitalization3.020.68–13.220.1421.370.20–9.140.7402.40.26–22.100.440
Chemotherapy2.130.27–16.630.4704.390.36–52.370.2411
Corticosteroid therapy3.260.88–12.080.0761.600.31–8.160.5676.250.83–46.560.074
Antibiotics during hospitalization2.750.29–25.700.37312.63*1.50–106.360.0201
3GC1.190.37–3.850.76510.21–4.601.0032.92.45–443.590.008
Carbapenems3.320.49–22.140.2158.72153–49.750.01514.661.16–185.230.038
Penicillins0.770.23–2.570.6824.641.24–17.240.0221.20.08–16.230.891
Fluoroquinolones1.710.39–7.490.4683.170.62–16.240.1651.20.18–7.770.848
Glycopeptides4.061.04–15.720.0432.130.27–16.630.4707.50.92–61.040.060
Polytherapy2.680.79–9.110.1137.451.89–29.340.0041
Number of antibiotics used in the hospitalization, mean ± SD (range)1.420.98–2.040.0571.981.28–3.050.0023.010.93–9.730.065

*Bold variables with confirmed P < 0.05 also in the multivariate analysis

Variables associated with CRAB colonization between different departments: geriatrics, internal medicine and ICU *Bold variables with confirmed P < 0.05 also in the multivariate analysis

Geriatric department

In 51 patients from the geriatric divisions all-cause mortality among cases was significantly higher than controls (29.4% vs. 2.9%, P < 0.05), as well as the average quantity of antibiotics used during the hospital stay (data not shown). Devices as UCs and CVCs represented significant risk factors at univariate analysis and the use of UC was also confirmed at multivariate analysis. A fatal disease and a longer LOS represented significant risk factors both in univariate and multivariate analysis. Glycopeptides was the only statistically significant antibiotic class associated with CRAB colonization.

Internal medicine department

Concerning 51 patients from the internal medicine department, among CRAB cases there were a significantly higher percentage of patients with partial disabilities or bedridden status compared to controls (data not shown). There were also significant differences between cases and controls regarding the use of devices, of MV, and antibiotics during hospitalization, antibiotic polytherapy (data not shown), and the average number of antibiotics administered during hospitalization (cases 3.11 ± 2.29 and controls 1.03 ± 1.24, P < 0.05). The univariate analysis showed that several variables had a statistically significant OR (Table 3). Prolonged hospitalization, previous admission to the ICU, MV, the use of permanent devices, and catheters during hospitalization represented important risk factors for rectal CRAB colonization for this specific population. Among these, only the use of permanent devices was confirmed as a significant risk factor at the multivariate analysis. Moreover, current antibiotic therapy and antibiotic polytherapy represented a significant risk factor for CRAB at the univariate analysis, also confirmed in multivariate analysis. In particular, the exposure to carbapenems and piperacillin/tazobactam significantly increased the risk of CRAB colonization by 9 and 5 times, respectively, as well as the higher number of antibiotics use (Table 3). Concerning comorbidities, only peripheral vascular disease was a risk factor for rectal colonisation with CRAB in internal medicine (OR 4.06, 95% CI 1.05–15.73, P = 0.043).

ICU

With regard to 7 patients acquiring rectal CRAB colonization in ICU vs 14 controls, some statistically significant differences were found (Table 3). The univariate analysis showed that the McCabe Score represented a significant risk factor for nosocomial CRAB colonization, a fatal or rapidly fatal disease increased the risk by 8 times for acquiring CRAB in ICU. Concerning antibiotic exposure, the use of 3GC and carbapenems increased the risk of colonisation by 33 times and 15 times respectively. Multivariate analysis was not carried out due to limited simple size.

General surgery department

Concerning the population admitted to surgical departments, we could not identify any statistically significant risk factor for this population due to the limited sample (n = 12) also affecting the statistical analysis.

Discussion

Antibiotic therapy, disabilities and medical devices play a crucial role in rectal CRAB colonization. Our findings support active screening strategies targeted to early identification of CRAB asymptomatic carriers in an endemic hospital setting, including non-ICU departments, a previously underestimated setting. The early identification of specific risk factors for colonization with CRAB could become the cornerstone of a cost-saving prevention strategy. In our population, diagnosis of a fatal condition and longer LOS had the greatest impact on CRAB nosocomial acquisition, especially in elderly patients. Cases had a twofold longer LOS compared to control patients, suggesting that longer hospitalization could facilitate CRAB acquisition. The risk of CRAB colonization was increased by several factors: carbapenem exposure increased the risk by fivefold; permanent devices and MV increased the risk by 10 and 40 times respectively. Finally, among comorbidities and intrinsic risk factors [3], only peripheral vascular disease and dementia were found to be associated to CRAB colonization in our hospital setting. Several studies have shown that CRAB colonization represents the main significant risk factor for the development of CRAB-related infections, with very difficult therapeutic management due to limited antimicrobial treatment options, present and future [3, 15]. In this scenario, active surveillance cultures with rectal screening represent one of the most important strategies of a multimodal approach in order to counter CRAB hospital spreading in highly endemic settings [4]. To our knowledge, few studies have investigated the risk factors for colonization and most of them are focused on ICUs or aimed at highlighting the variables involved in the development of infection rather than colonization [19, 21, 23]. These limitations could be explained by the fact that rectal screening on admission is not universally performed outside the ICU, so it is very difficult to distinguish between community-associated and nosocomial colonization. Until now the identified risk factors for CRAB nosocomial acquisition are: disease severity measured by scores (e.g. APACHE II, McCabe), antibiotic use, invasive procedures such as catheterisations, enteral feeding or MV, ICU stay, and LOS [3, 16, 19, 21, 27]. Therefore, multiple and permanent devices should always set up a wake-up call to screen patients admitted in non-ICU departments in endemic hospitals. Although polytrauma, blood transfusions and major surgery are significant known risk factors for CRAB acquisition [16] the limited number of surgical patients in our study did not allow us to explore this finding. In our study only antibiotic polytherapy and exposure to carbapenems were found to be significant risk factors for CRAB colonization, in the overall study population. Antibiotic therapy, in particular fluoroquinolones, 3GC and aminoglycosides, both before and during hospitalization, have previously been identified as risk factors for rectal CRAB colonization and infection [3, 15, 16, 19, 21, 27]. Moghnieh et al., identified a colonization risk score for XDR A.baumannii in ICU patients, and confirmed the role of carbapenem and piperacillin-tazobactam exposure [21], while Tacconelli et al. [27], showed that methicillin-resistant Staphylococcus aureus isolation and beta-lactam use were among the independent risk factors for CRAB colonization and infection. Our study has several strengths. First, it focused on CRAB colonization and not systemic infection. This is extremely important in order to better identify risk factors for colonization by eliminating possible confounders associated with CRAB infection. Second, our study is the first to conduct a risk factor analysis according to the type of department, with a majority of patients from outside the ICU. The sub-analysis by department showed that patients admitted to different departments have different risk factors and that, as far as our centre is concerned, most of the colonization occurred in geriatric and internal medicine settings. We found that antibiotic exposure had a different effect depending on the department. In ICU, antibiotic use was the main risk factor for nosocomial CRAB colonization, and in particular the use of carbapenems and 3GC significantly increased the risk by 33 times and 14.7 times, respectively. In internal medicine department, the use of antibiotic polytherapy, carbapenems and penicillins (especially piperacillin/tazobactam) were among the most important risk factors for rectal CRAB colonization. The use of piperacillin/tazobactam has been poorly investigated in previous studies probably because most focused on ICU-CRAB carriers, while the highest consumption of this antibiotic occurs in medical department [3, 26]. Conversely, in the geriatric setting the most important risk factors to become a CRAB carrier were the presence of invasive devices, both permanent and positioned during the hospital stay, rather than antibiotic exposure. A third strong point of our study is its design. The matching by department and date of screening allowed us to control for the variation of CRAB colonization pressure and the cross-transmission in the department, which are potential confounders of the main associations considered in this study. In fact, the likelihood of a patient to receive an antibiotic prescription in a specific setting and the timing may be influenced by the perceived risk of a multidrug resistant organism (MDRO) infection, as physicians might be more prone to prescribe a broad spectrum antibiotic when other patients in the department are colonized or infected by MDROs. Furthermore, concurrent selection of controls provided an accurate estimate of relative risk even in case–control studies assessing non-rare outcomes. We excluded community-colonized patients through an active surveillance on admission. This study has some limitations. It is a single-centre retrospective study carried out in a CRAB endemic area. For this reason, our model may not be applicable to different settings, and the results must be generalized with caution. Furthermore, the design of the study did not allow us to consider some important parameters such as risk factors related to infection control strategies. Since the controls for each CRAB case were selected through a matching by department and date of screening, it was not possible to analyse the role that the roommate had in the acquisition of CRAB colonization. Another limitation of our study is the selection bias due to the case–control approach. We have not analysed all the patients colonized in the time frame considered, but 45 randomly selected patients who tested positive for rectal screening after at least 4 days of hospitalization. In addition, we excluded respiratory and urinary CRAB colonization because the retrospective nature of the study did not allow a precise discrimination between colonization and infection in these different specimens. Unfortunately, no specific risk factors were identified for the surgical department, because the surgical sample was too small. Further investigations are needed in this setting.

Conclusions

As CRAB colonization is one of the most important risk factors for CRAB infection, targeted infection prevention and control (IPC) practices are crucial to limit CRAB spreading in hospitals, not only in ICUs, but also general departments where this pathogen is widely found. Rectal screening could represent a cornerstone to limit CRAB dissemination in endemic settings. By identifying the main risk factors associated to in-hospital rectal CRAB-acquisition in different wards, this study provides new real-life elements to limit CRAB cross-transmission and to target CRAB-IPC interventions. In the era of MDROs clinicians should strictly adhere to and apply bundles for permanent devices and invasive procedures management in order to target their use. Finally, our study supports the fundamental principles of antimicrobial stewardship, i.e. limiting the use of inappropriate antibiotic therapy, avoiding polytherapy and reducing carbapenem use in CRAB endemic hospitals.
  26 in total

1.  A multicenter study of risk factors and outcome of hospitalized patients with infections due to carbapenem-resistant Acinetobacter baumannii.

Authors:  Wang-Huei Sheng; Chun-Hsing Liao; Tsai-Ling Lauderdale; Wen-Chien Ko; Yao-Shen Chen; Jien-Wei Liu; Yeu-Jun Lau; Li-Hsin Wang; Ke-Sun Liu; Tung-Yuan Tsai; San-Yi Lin; Meng-Shiuan Hsu; Le-Yin Hsu; Shan-Chwen Chang
Journal:  Int J Infect Dis       Date:  2010-06-19       Impact factor: 3.623

Review 2.  Acinetobacter infection.

Authors:  L Silvia Munoz-Price; Robert A Weinstein
Journal:  N Engl J Med       Date:  2008-03-20       Impact factor: 91.245

Review 3.  Controlling the spread of carbapenemase-producing Gram-negatives: therapeutic approach and infection control.

Authors:  Y Carmeli; M Akova; G Cornaglia; G L Daikos; J Garau; S Harbarth; G M Rossolini; M Souli; H Giamarellou
Journal:  Clin Microbiol Infect       Date:  2010-02       Impact factor: 8.067

4.  Mortality in Patients With Septic Shock by Multidrug Resistant Bacteria: Risk Factors and Impact of Sepsis Treatments.

Authors:  Stefano Busani; Giulia Serafini; Elena Mantovani; Claudia Venturelli; Maddalena Giannella; Pierluigi Viale; Cristina Mussini; Andrea Cossarizza; Massimo Girardis
Journal:  J Intensive Care Med       Date:  2017-01-18       Impact factor: 3.510

5.  Risk factors for and impact of carbapenem-resistant Acinetobacter baumannii colonization and infection: matched case-control study.

Authors:  O Henig; G Weber; M B Hoshen; M Paul; L German; A Neuberger; I Gluzman; A Berlin; C Shapira; R D Balicer
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2015-07-24       Impact factor: 3.267

6.  Extensively drug-resistant Acinetobacter baumannii in a Lebanese intensive care unit: risk factors for acquisition and determination of a colonization score.

Authors:  R Moghnieh; L Siblani; D Ghadban; H El Mchad; R Zeineddine; D Abdallah; F Ziade; L Sinno; O Kiwan; F Kerbaj; Z El Imad
Journal:  J Hosp Infect       Date:  2015-11-02       Impact factor: 3.926

7.  Colonization of long-term care facility residents in three Italian Provinces by multidrug-resistant bacteria.

Authors:  Elisabetta Nucleo; Mariasofia Caltagirone; Vittoria Mattioni Marchetti; Roberto D'Angelo; Elena Fogato; Massimo Confalonieri; Camilla Reboli; Albert March; Ferisa Sleghel; Gertrud Soelva; Elisabetta Pagani; Richard Aschbacher; Roberta Migliavacca; Laura Pagani
Journal:  Antimicrob Resist Infect Control       Date:  2018-03-06       Impact factor: 4.887

8.  Differential characteristics of Acinetobacter baumannii colonization and infection: risk factors, clinical picture, and mortality.

Authors:  Andrés Martín-Aspas; Francisca M Guerrero-Sánchez; Francisco García-Colchero; Sebastián Rodríguez-Roca; José-Antonio Girón-González
Journal:  Infect Drug Resist       Date:  2018-06-06       Impact factor: 4.003

9.  Control of Carbapenem-resistant Enterobacteriaceae, Acinetobacter baumannii, and Pseudomonas aeruginosa in Healthcare Facilities: A Systematic Review and Reanalysis of Quasi-experimental Studies.

Authors:  Sara Tomczyk; Veronica Zanichelli; M Lindsay Grayson; Anthony Twyman; Mohamed Abbas; Daniela Pires; Benedetta Allegranzi; Stephan Harbarth
Journal:  Clin Infect Dis       Date:  2019-02-15       Impact factor: 9.079

10.  Colonization of long term care facility patients with MDR-Gram-negatives during an Acinetobacter baumannii outbreak.

Authors:  Ines Zollner-Schwetz; Elisabeth Zechner; Elisabeth Ullrich; Josefa Luxner; Christian Pux; Gerald Pichler; Walter Schippinger; Robert Krause; Eva Leitner
Journal:  Antimicrob Resist Infect Control       Date:  2017-05-16       Impact factor: 4.887

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  2 in total

1.  Acinetobacter baumannii Isolates from COVID-19 Patients in a Hospital Intensive Care Unit: Molecular Typing and Risk Factors.

Authors:  Mariateresa Ceparano; Valentina Baccolini; Giuseppe Migliara; Claudia Isonne; Erika Renzi; Daniela Tufi; Corrado De Vito; Maria De Giusti; Maria Trancassini; Francesco Alessandri; Giancarlo Ceccarelli; Francesco Pugliese; Paolo Villari; Maria Angiulli; Stefania Battellito; Arianna Bellini; Andrea Bongiovanni; Lucilla Caivano; Marta Castellani; Monica Coletti; Alessia Cottarelli; Ludovica D'Agostino; Andrea De Giorgi; Chiara De Marchi; Irma Germani; Dara Giannini; Elisa Mazzeo; Shadi Orlandi; Matteo Piattoli; Eleonora Ricci; Leonardo Maria Siena; Alessandro Territo; Gianluca Vrenna; Stefano Zanni; Carolina Marzuillo
Journal:  Microorganisms       Date:  2022-03-28

Review 2.  Is It Possible to Eradicate Carbapenem-Resistant Acinetobacter baumannii (CRAB) from Endemic Hospitals?

Authors:  Filippo Medioli; Erica Bacca; Matteo Faltoni; Giulia Jole Burastero; Sara Volpi; Marianna Menozzi; Gabriella Orlando; Andrea Bedini; Erica Franceschini; Cristina Mussini; Marianna Meschiari
Journal:  Antibiotics (Basel)       Date:  2022-07-28
  2 in total

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