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Erschienen in: BMC Neurology 1/2018

Open Access 01.12.2018 | Research article

Low incidence of multidrug-resistant bacteria and nosocomial infection due to a preventive multimodal nosocomial infection control: a 10-year single centre prospective cohort study in neurocritical care

verfasst von: Vera Spatenkova, Ondrej Bradac, Daniela Fackova, Zdenka Bohunova, Petr Suchomel

Erschienen in: BMC Neurology | Ausgabe 1/2018

Abstract

Background

Nosocomial infection (NI) control is an important issue in neurocritical care due to secondary brain damage and the increased morbidity and mortality of primary acute neurocritical care patients. The primary aim of this study was to determine incidence of nosocomial infections and multidrug-resistant bacteria and seek predictors of nosocomial infections in a preventive multimodal nosocomial infection protocol in the neurointensive care unit (NICU). The secondary aim focused on their impact on stay, mortality and cost in the NICU.

Methods

A10-year, single-centre prospective observational cohort study was conducted on 3464 acute brain disease patients. There were 198 (5.7%) patients with nosocomial infection (wound 2.1%, respiratory 1.8%, urinary 1.0%, bloodstream 0.7% and other 0.1%); 67 (1.9%) with Extended spectrum beta-lactamase (ESBL); 52 (1.5%) with Methicillin-resistant Staphylococcus aureus (MRSA), nobody with Vancomycin-resistant enterococcus (VRE). The protocol included hygienic, epidemiological status and antibiotic policy. Univariate and multivarite logistic regression analysis was used for identifying predictors of nosocomial infection.

Results

From 198 NI patients, 153 had onset of NI during their NICU stay (4.4%; wound 1.0%, respiratory 1.7%, urinary 0.9%, bloodstream 0.6%, other 0.1%); ESBL in 31 (0.9%) patients, MRSA in 30 (0.9%) patients. Antibiotics in prophylaxis was given to 63.0% patients (59.2 % for operations), in therapy to 9.7% patients. Predictors of NI in multivariate logistic regression analysis were airways (OR 2.69, 95% CI 1.81-3.99, p<0.001), urine catheters (OR 2.77, 95% CI 1.00-7.70, p=0.050), NICU stay (OR 1.14, 95% CI 1.12-1.16, p<0.001), transfusions (OR 1.79, 95% CI 1.07-2.97, p=0.025) antibiotic prophylaxis (OR 0.50, 95% CI 0.34-0.74, p<0.001), wound complications (OR 2.30, 95% CI 1.33-3.97, p=0.003). NI patients had longer stay (p<0.001), higher mortality (p<0.001) and higher TISS sums (p<0.001) in the NICU.

Conclusions

The presented preventive multimodal nosocomial infection control management was efficient; it gave low rates of nosocomial infections (4.2%) and multidrug-resistant bacteria (ESBL 0.9%, MRSA 0.9% and no VRE). Strong predictors for onset of nosocomial infection were accesses such as airways and urine catheters, NICU stay, antibiotic prophylaxis, wound complications and transfusion. This study confirmed nosocomial infection is associated with worse outcome, higher cost and longer NICU stay.
Abkürzungen
APACHE
Acute Physiology and Chronic Health Evaluation
ASA
American Society of Anesthesiologists
ATB
antibiotic
BMI
body mass index
CRP
C-reactive protein
ESBL
Extended spectrum beta-lactamase
ETT
endotracheal tube
GCS
Glasgow Coma Scale
GOS
Glasgow Outcome Scale
ICH
intracerebral haemorrhage
MRSA
Methicillin-resistant Staphylococcus aureus
NI
nosocomial infection
NICU
neurointensive care unit
SAH
subarachnoid haemorrhage
STSP
Staphylococcus species
TISS
Therapeutic Intervention Scoring System
TST
tracheostomy tube
VRE
Vancomycin-resistant enterococcus

Background

Nosocomial infections (NI) are still an important issue in neurocritical care due to secondary brain damage and the increased morbidity and mortality of primary acute neurocritical care patients [15]. NI is associated with higher antibiotic consumption, thereby worsening the epidemiological situation in the intensive care unit by increasing the occurrence of multidrug-resistant bacteria [6]. For these reasons, they have a significant economic impact because they prolong stay [710] in the neurointensive care unit (NICU) and the higher frequency of diagnostic and therapeutic processing significantly raises healthcare costs.
Nosocomial infections can be caused by many risk factors, not all of which have been fully investigated. However, keeping a hygienic and epidemiological regime of critical care [1113] and the rational use of antibiotics makes a significant impact [14, 15].
The primary aim of this study was to determine incidence of nosocomial infections and multidrug-resistant bacteria and seek predictors of nosocomial infections in a preventive multimodal nosocomial infection protocol in our neurocritical care. The secondary aim focused on their impact on stay, mortality and cost in the NICU.

Method

Study design and setting

A monocentric 10-year observation prospective cohort study was conducted in the entire population of 3464 patients with acute brain disease, admitted to an eight-bed, adult neurological and neurosurgical intensive care unit in the Neurocenter of the 900-bed Regional Hospital with a catchment area of approximately half a million people. The study was performed in the NICU, which consists of four different rooms: one room with one bed, two rooms with two beds and one room with three beds. The study was approved by the Liberec hospital Ethics Committees for Multicentric Clinical Trials.
We prospectively examined the following determined demographic and clinical parameters in our local NICU: brain diagnosis, type of admission (primary, secondary to 24 hours and after 24 hours; acute or planned; rehospitalisation), admission and overall Therapeutic Intervention Scoring System (TISS), admission Glasgow Coma Scale (GCS), admission Acute Physiology and Chronic Health Evaluation (APACHE) II score, length of stay in the NICU, mortality in the NICU, Glasgow Outcome Scale (GOS) upon discharge from the NICU, C-reactive protein (CRP), operations (amount, day of hospital and NICU hospitalisation, acute or planned, reoperation, time and type of operation), American Society of Anesthesiologists (ASA) Score, drainage, airways, mechanical ventilation, catheters (artery, central venous, urine) and tubes, administration of corticoids, transfusions, ulcer prophylaxis and diabetes mellitus.

Preventive multimodal nosocomial infection protocol

In the preventive multimodal nosocomial infection protocol, we categorised hygienic and epidemiological status and antibiotic policy.

Hygienic and epidemiological regime

The basis of the hygienic and epidemiological regime in our preventive multimodal protocol consisted of cleanliness, disinfection, sterilisation, barrier patient care techniques, the separation of clean and contaminated procedures and the regular monthly exchange of disinfectants. We categorised principles for staff, patients and facilities.

1/Staff and visitors

The foremost part of this protocol was maintaining the hygiene and disinfection of all staff members’ hands before and after care for each patient, enabled by the bottled disinfectant provided at each entrance and each bed. This rule was also required for visitors. Staff members were not allowed to wear jewellery or watches on their hands and had to keep their fingernails cut short. Internal staff had to wear new, clean, special NICU clothing every day, a protective coat when outside the NICU, and masks, surgical caps and gowns when caring for isolated patients or during invasive medical procedures. Aprons were worn while washing patients. External staff as well as visitors wore surgical gowns, but not overshoes, and only 2 family members were allowed in the patient’s room at a time.

2/Patients

Care of the patient was performed on the principle of barrier care techniques. Tools for individual patients including disinfection, stethoscopes, thermometers and washing aids were available by each bed. Patients were washed twice a day with liquid soap. Disinfection soap was used only before entering the operating theatre. Oral hygiene included cleaning teeth with our special toothbrushes with chlorhexidine and subglottic secretion drainage, after washing, the patient’s body was rubbed with a non-allergic cream. Patients’ clothes and bedding were changed twice a day. Dirty laundry was put in special sacks rather than dropped freely on the floor.
Basic principles of care for drainage, catheters, infusion, suction from the airway, breathing circuit sets, tubes included: 1/single-use products, 2/closed systems, 3/the minimum necessary duration, 4/minimal and only necessary disconnection, using the port system, 5/the regular (peripheral venous catheters, all infusion sets, connecting tubes and ports) and irregular (central venous catheters, endotracheal tubes and tracheostomy) exchange of all these tubes and catheters was made according to the exchange protocol. Invasive procedures included the sterile insertion of systems and regularly exchanged, fully covering and constantly dry sterile wound covers. Furthermore, the protocol included the hourly monitoring of residual gastric volume.
The protocol included the regular microbiological screening of nose, throat, trachea, skin, urine and rectum from admission and then every three days, as well as every catheter except the peripheral venous for the timely detection of multidrug-resistant bacteria extended spectrum beta-lactamases (ESBL) or methicillin-resistant Staphylococcus aureus (MRSA) or Vancomycin-resistant enterococcus (VRE).
Patients with an infection or with multidrug-resistant bacteria ESBL and MRSA were completely isolated.

3/Facilities

Daily cleaning with disinfection of surfaces including the bed, monitors, and other equipment around the bed, door handles and floors was conducted three times a day. Walls were cleaned once a day for the isolated patients, otherwise once a week. Each room had its own bucket for surfaces and walls. The floors were mopped using a system of two buckets and a cloth, with each room having its own. All cupboards containing materials and medical equipment were cleaned with disinfectant once a week. Waste was sorted and disposed of using specially marked plastic containers and sacks. After the patient was discharged, the bed was completely disinfected. The room was painted with a washable coating once a year.

Antibiotic policy

The protocol included the monitoring of antibiotics in a local computer database. Antibiotic policy was implemented in close cooperation with the antibiotic centre and intended to keep the rational antibiotic policy aim of eliminating the overuse of antibiotics, especially those not used during bacterial pathogeny colonisation. The indications for using prophylactic antibiotics were surgical procedures (operation, external ventricular and lumbar drainage, intracranial sensors), liquorrhoea and aspiration. The protocol required maintaining dose and timing before the operation, perioperative administration for lengthy operations, and the non-prolongation of antibiotic administration after the operation or drainage or implantation of sensors. Empiric antibiotic therapy was to start after samples were taken for microbiological examination to enable their administration according to culture and sensitivity.

Nosocomial infection

Infections were identified according to clinical symptoms such as fever, bacterial pathogens from secretions, liquor, urine, wounds, catheters, haemoculture with a defined microbiology colony count, imaging methods, biochemical and haematological laboratory tests. Nosocomial infections were defined as infections starting after two calendar days in the hospital. We identified nosocomial infections in 198 patients (5.7%). There were more wound infections (2.1%), than respiratory (1.8%), urinary (1.0%), bloodstream (0.7%) and others (0.1%).

Statistical analysis

Parametric t-tests or non-parametric Mann-Whitney U tests were used for comparison of continuous variables. Comparison of categorical parameters was carried out using Chi-square or Fisher tests as appropriate. Univariate logistic regression was used for identifying prognostic factors of NI. Factors from univarite analysis with level of significance defined as p <0.1 were used for multivarite regression analysis, factors with p value <0.1 were left in the model. P–values of less than 0.05 were considered significant. STATISTICA 13.2 (TIBCO Software Inc., Palo Alto, CA, USA) software was used for statistical analyses. The control group was defined as patients without nosocomial infections.

Results

We did not find any demographic differences such as age, gender, weight or body mass index between the NI group and the control group, as can be seen in Table 1. However, there was a difference in diagnosis, more patients with stroke and hydrocephalus had more NI than those with other diagnoses. According to the scoring system, patients with nosocomial infection upon admission had significantly lower GCS scale and higher APACHE II. Prognostic parameters were also significantly higher in the NI patients group. They stayed in the NICU longer, had higher mortality and worse Glasgow Coma Scale upon discharge. They were also more expensive economically, and had significantly higher total TISS.
Table 1
Demographic and clinical data of population of patients with acute brain disease, with or without nosocomial infection
Parameter
Unit
Total population
NI group
Control group
p value
Number total
pts
3464 (100%)
198 (5.7%)
3266 (94.3%)
 
January
pts
327 (9.4%)
7 (3.6%)
310 (9.5%)
 
February
pts
249 (7.2%)
19 (9.6%)
230 (7.0%)
 
March
pts
267 (7.7%)
19 (9.6%)
248 (7.6%)
 
April
pts
305 (8.8%)
13 (6.6%)
292 (8.9%)
 
May
pts
269 (7.8%)
21 (10.6%)
248 (7.6%)
 
June
pts
290 (8.4%)
17 (8.6%)
273 (8.4%)
0.660
July
pts
310 (8.9%)
19 (9.6%)
291 (8.9%)
 
August
pts
274 (7.98%)
12 (6.1%)
262 (8.0%)
 
September
pts
307 (8.9%)
14 (7.1%)
293 (9.0%)
 
October
pts
280 (8.1%)
13 (6.6%)
267 (8.2%)
 
November
pts
291 (8.4%)
17 (8.6%)
274 (8.4%)
 
December
pts
295 (8.5%)
17 (8.6%)
278 (8.5%)
 
Age
pts
 
57.2±15.6
56.3±15.6
0.416
Male
pts
2004 (57.9%)
117 (59.1%)
1887 (57.8%)
0.716
Weight
kg
 
78.7±17.1
77.6±15.8
0.423
BMI
  
26.8±5.0
26.8±4.9
0.966
NICU stay
day
 
15.3±11.7
4.8±5.4
<0.001
Admission
     
 Primary
pts
746 (21.5%)
47 (23.7%)
699 (21.4%)
 
 Secondary to 24 h
pts
739 (21.3%)
51 (25.8%)
688 (21.1%)
0.134
 Secondary after 24 h
pts
1979 (57.1%)
100 (50.5%)
1879 (57.5%)
 
Acute admission
pts
1020 (29.4%)
70 (35.4%)
950 (29.1%)
<0.001
Rehospitalisation
pts
40 (1.22%)
4 (2.0%)
44 (1.3%)
0.331
Diagnoses
     
 Stroke
pts
1498 (43.2%)
110 (55.6%)
1388 (42.5%)
 
 Trauma
pts
472 (13.6%)
27 (13.6%)
445 (13.6%)
 
 Tumour
pts
1078 (31.1%)
33 (16.7%)
1045 (32.0%)
<0.001
 Epilepsy
pts
133 (3.8%)
3 (1.5%)
130 (4.0%)
 
 Hydrocephalus
pts
119 (3.4%)
13 (6.6%)
106 (3.2%)
 
 Infection
pts
88 (2.5%)
11 (5.6%)
77 (2.4%)
 
 Others
pts
75 (2.2%)
1 (0.5%)
74 (2.3%)
 
 Stroke
pts
   
<0.001
  Ischemic
pts
580 (16.7%)
21 (10.6%)
559 (17.1%)
  ICH
pts
471 (13.6%)
49 (24.7%)
422 (12.9%)
  SAH
pts
447 (12.9%)
40 (20.2%)
407 (12.5%)
TISS on admission
  
54.7±1.9
56.0±1.7
<0.001
TISS total
  
270632.8±231533.1
60415.1±92140..3
<0.001
GCS on admission
  
11.5±3.5
13.1±3.0
<0.001
APACHE II on admission
  
15.1±5.5
11.8±5.8
<0.001
GOS on NICU discharge
  
3.1±1.1
3.9±1.1
<0.001
Mortality in NICU
pts
152 (4.4%)
21 (10.6%)
131 (4.0%)
<0.001
Mortality in NICU
day
 
16.2±10.4
7.5±5.7
<0.001
CRP on admission
  
31.7±45.6
17.5±39.1
<0.001
CRP postoperative
  
30.0±44.4
14.0±33.0
<0.001
CRP 1 day after operation
  
59.8±56.9
31.6±39.6
<0.001
CRP highest in NICU stay
  
228.0±122.5
66.1±80.3
<0.001
BMI body mass index, NICU neurointensive care unit, ICH intracerebral haemorrhage, SAH subarachnoid haemorrhage, TISS Therapeutic Intervention Scoring System, GCS Glasgow Coma Scale, APACHE Acute Physiology and Chronic Health Evaluation, GOS Glasgow Outcome Scale, CRP C-reactive protein
Characteristics of brain operations can be seen in Table 2. Patients who had undergone operations and drainage had significantly higher nosocomial infection. These patients had more endotracheal tubes and tracheostomies, mechanical ventilations (Table 3), artery and central venous catheters (Table 4), urine and gastrointestinal tubes (Table 5).
Table 2
Characteristics of brain operations
Operation
Unit
Total population N=2231
NI group N=151
Control group N=2080
p value
Operation
pts
2231(64.4%)
151(76.3%)
2080 (63.7%)
<0.001
More than 1 operation
pts
214(9.6%)
42(27.8%)
172(8.3%)
<0.001
ASA score
  
3.8±1.0
3.1±1.1
<0.001
Day of hospitalisation
day
 
5.5±9.8
7.1±17.1
0.430
Day of NICU
  
1.6±1.3
1.3±1.1
0.535
Acute operation
pts
905(40.6%)
106(70.2%)
799(38.4%)
<0.001
Reoperation
pts
479(21.5%)
58(38.4%)
421(20.2%)
<0.001
Time of operation
minutes
 
151.9±108.4
137.7±89.4
0.080
Craniotomy
pts
1361(61.0%)
82(54.3%)
1279(61.5%)
0.080
Craniectomy
pts
363(16.3%)
50(33.1%)
313(15.0%)
<0.001
Trepanation
pts
227(10.2%)
23(15.2%)
204(9.8%)
0.033
Hypophysis
pts
85(3.8%)
0(0.0%)
85(4.1%)
0.011
Shunt
pts
108(4.8%)
12(7.9%)
96(4.6%)
0.066
Others
pts
99(4.4%)
9(6.0%)
90(4.3%)
0.347
Drainage
pts
1678(75.2%)
131(86.8%)
1547(74.4%)
<0.001
 Redon
pts
858(38.5%)
49(32.5%)
809(38.9%)
0.001
 Time overall
day
 
2.0±0.9
1.8±1.3
0.395
 Gravity drainage
pts
807(36.2%)
75(49.7%)
732(35.2%)
0.029
  Time overall
day
 
3.5±2.1
2.7±2.2
0.004
 Lumbar
pts
218(9.8%)
36(23.8%)
182(8.8%)
<0.001
  Day overall
day
 
7.7±5.5
5.1±3.2
<0.001
 Ventricular
pts
138(6.2%)
21(13.9%)
117(5.6%)
<0.001
  Day overall
day
 
13.4±9.9
5.9±4.3
<0.001
ASA American Society of Anesthesiologists, NICU neurointensive care unit
Table 3
Characteristics of respiratory procedures
Parameter
Unit
Total population N=3646
NI group N=198
Control group
N=3266
p value
Airways
pts
710 (20.5%)
112 (56.6%)
598 (18.3%)
<0.001
 ETT
pts
327(46.1%)
15(13.4%)
312(52.2%)
 
 TSK
pts
161(22.7%)
29(25.9%)
132(22.1%)
<0.001
 ETT/TST
pts
222(31.3%)
68(60.7%)
154(25.8%)
 
 ETK time NICU
day
 
4.2±2.1
2.9±2.2
<0.001
 ETK time
day
 
4.4±2.1
2.9±2.3
<0.001
 TSK time NICU
day
 
14.2±10.2
8.4±7.8
<0.001
 TSK time
day
 
21.8±34.6
21.6±62.2
0.980
 TSK type Classic
pts
43(11.2%)
9(9.3%)
34(11.9%)
0.456
 TSK NICU made
pts
250(65.3%)
75(77.3%)
175(61.2%)
0.006
Mechanical ventilation
pts
543(15.7%)
87(43.9%)
456(14.0%)
<0.001
 Invasive
pts
539(99.3%)
87(100.0%)
452(99.1%)
<0.001
 Time
day
 
14.1±9.9
5.6±5.9
<0.001
Indication
 Neuro
pts
414(76.2%)
54(62.1%)
360(78.9%)
0.161
 Respiratory
pts
32(5.9%)
7(8.0%)
25(5.5%)
ETT endotracheal tube, TST tracheostomy tube, NICU neurointensive care unit
Table 4
Characteristics of vascular catheters
Parameter
Unit
Total population N=3464
NI group N=198
Control group N=3266
p value
Artery catheter
pts
907(26.2%)
90(45.5%)
817(25.0%)
<0.001
Time
day
 
9.5±6.6
7.5±3.7
0.018
Number of artery catheters
 
923(100.0%)
91(100.0%)
832(100.0%)
 
 Radialis
pts
873(94.6%)
89(97.8%)
784(94.2%)
0.165
 Brachialis
pts
14(1.5%)
0(0.0%)
14(1.7%)
0.211
 Femoralis
pts
36(3.9%)
2(2.2%)
34(4.1%)
0.371
 Left
pts
598(64.8%)
64(70.3%)
534(64.2%)
0.275
 Time in NICU
day
 
8.27±5.45
4.10±3.36
0.094
 Time all
day
 
8.41±5.40
4.41±3.43
0.377
 Made in NICU
pts
216(23.4%)
47(51.6%)
169(20.3%)
<0.001
 Made in operation theatre
pts
607(65.8%)
46(50.5%)
561(67.4%)
0.001
 Cultivation of catheter
pts
691(74.9%)
74(81.3%)
617(74.2%)
0.157
  Positive
pts
113(16.4%)
18(24.3%)
95(15.4%)
0.050
  STSP
pts
100(88.5%)
13(72.2%)
87(91.6%)
0.018
 Haemoculture cultivation
pts
164(17.8%)
31(34.1%)
133(16.0%)
<0.001
  Positive
pts
34(20.7%)
9(29.0%)
25(18.8%)
0.206
  STSP
pts
18(52.9%)
3(33.3%)
15(60.0%)
0.169
Central venous catheter
pts
372(10.7%)
64(32.3%)
308(9.4%)
<0.001
Time overall
day
 
9.9±7.4
7.5±3.7
0.077
Number of venous catheter
 
378(100%)
66(100%)
312(100%)
 
 Subclavia
pts
336(88.9%)
60(90.9%)
276(88.5%)
0.308
 Jugularis
pts
19(5.0%)
1(1.5%)
18(5.8%)
0.157
 Femoralis
pts
16(4.2%)
4(6.1%)
12(3.8%)
0.398
 Axilaris
pts
7(1.9%)
1(1.5%)
6(1.9%)
0.836
 Right
pts
323(85.4%)
59(89.4%)
264(84.6%)
0.164
 Type one-line
pts
75(19.8%)
10(15.2%)
65(20.8%)
 
 Type two-line
pts
192(50.8%)
39(59.1%)
153(49.0%)
0.214
 Type three-line
pts
64(16.9%)
8(12.1%)
56(17.9%)
 
 Time in NICU
day
 
8.20±7.31
4.70±4.92
<0.001
 Time all
day
 
11.19±8.70
7.24±5.50
<0.001
 Made in NICU
pts
162(42.9%)
41(62.1%)
121(38.8%)
<0.001
 Made in operation theatre
pts
14(3.7%)
1(1.5%)
13(4.2%)
0.309
 Cultivation of catheter
pts
261(69.0%)
45(68.2%)
216(69.2%)
0.977
  Positive
pts
52(19.9%)
16(35.6%)
36(16.7%)
0.004
  STSP
pts
40(76.9%)
10(62.5%)
30(83.3%)
0.010
 Haemoculture cultivation
pts
72(19.0%)
16(24.2%)
56(17.9%)
0.090
  Positive
pts
15(20.8%)
2(12.5%)
13(23.2%)
0.352
  STSP
pts
13(86.7%)
2(100.0%)
11(84.6%)
0.551
NICU neurointensive care unit, STSP Staphylococcus species
Table 5
Characteristics of urine and gastrointestinal procedures
Parameter
Unit
Total population N=3464
NI group N=198
Control group N=3266
p value
Urine catheter
pts
3166(91.4%)
189(95.5%)
2927(89.6%)
0.008
 Epicystostomy
pts
6(0.2%)
1(0.5%)
5(0.2%)
0.247
 Time
day
 
15.5±11.6
4.7±5.5
<0.001
 Time overall
day
 
22.6±13.1
12.8±9.7
<0.001
Gastrointestinal tube
pts
904(26.1%)
128(64.6%)
776(23.8%)
<0.001
 Nasogastric tube
pts
882(25.5%)
125(63.1%)
757(23.2%)
<0.001
 Time
day
 
15.4±11.2
6.2±6.9
<0.001
 Time overall
day
 
19.6±12.6
10.7±9.4
<0.001
We confirmed transfusions (p<0.001), ulcer prophylaxis (p<0.001) and corticoids (p=0.002) as further parameters influencing nosocomial infection, but we did not see more nosocomial infection in patients with diabetes mellitus (p=0.203), (Table 6).
Table 6
Further monitored parameters influencing onset of nosocomial infection
Parameter
Unit
Total population N=3464
NI group N=198
Control group N=3266
p value
Corticoids
pts
1172(33.8%)
47(23.7%)
1125(34.4%)
0.002
 Dexamethasone
pts
944(27.3%)
31(15.7%)
913(28.0)
<0.001
 Methylprednisolone
pts
35(1.0%)
5(2.5%)
30(0.9%)
0.028
 Hydrocortisone
pts
241(7.0%)
12(6.1%)
229(7.0%)
0.610
 Time
day
 
6.37±8.78
3.58±2.56
<0.001
Transfusions
pts
176(5.1%)
41(20.7%)
135(4.1%)
<0.001
 Number
  
2.46±8.78
2.57±2.56
0.695
 Blood loss
ml
 
523.77±668.07
380.74±478.76
0.019
 Haemoglobin
  
93.35±21.03
115.34±21.62
<0.001
Ulcer prophylaxis
pts
1838(53.1%)
134(67.7%)
1704(52.2%)
<0.001
 One medicine
pts
1669(48.2%)
119(60.1%)
1550(47.5%)
0.406
 Sucralfate
pts
758(21.9%)
26(13.1%)
732(22.4%)
0.002
 H2 antagonist
pts
196(5.7%)
27(13.6%)
169(5.2%)
<0.001
 Omeprazole
pts
1062(30.7%)
97(49.0%)
965(29.5%)
<0.001
Diabetes Mellitus
pts
491(14.2%)
22(11.1%)
469(14.4%)
0.203
Op. wound complication
pts
133(3.8%)
35(17.7%)
98(3.0%)
<0.001
Liquorrhoea
pts
81(2.3%)
23(11.6%)
58(1.8%)
<0.001
ESBL occurred in 1.9% and MRSA in 1.5% of the total population, without differences between NI group patients and the control group (Table 7). We did not have any case of vancomycin-resistant enterococcus.
Table 7
Multidrug-resistant bacteria ESBL and MRSA in NICU
Parameter
Unit
Total population N=3464
NI group N=198
Control group N=3266
p value
Multidrug-resistant
pts
116(3.3%)
12(6.1%)
104(3.2%)
0.029
ESBL
pts
67(1.9%)
6(3.0%)
61(1.9%)
0.566
 On admission
pts
36(1.0%)
4(2.0%)
32(1.0%)
0.249
  Nose
pts
11(0.3%)
1(0.5%)
10(0.3%)
0.986
  Throat
pts
21(0.6%)
4(2.0%)
17(0.5%)
0.051
  Trachea
pts
15(0.4%)
1(0.5%)
14(0.4%)
0.725
  Urine
pts
19(0.5%)
0(0.0%)
19(0.6%)
0.106
  Rectum
pts
31(0.9%)
3(1.5%)
28(0.9%)
0.848
  Brain
pts
2(0.1%)
1(0.5%)
1(0.0%)
0.039
  Others
pts
5(0.1%)
1(0.5%)
4(0.1%)
0.369
MRSA
pts
52(1.5%)
7(3.5%)
45(1.4%)
0.320
 On admission
pts
22(0.6%)
0(0.0%)
22(0.7%)
0.015
  Nose
pts
27(0.8%)
4(2.0%)
23(0.7%)
0.766
  Throat
pts
11(0.3%)
1(0.5%)
10(0.3%)
0.632
  Trachea
pts
14(0.4%)
2(1.0%)
12(0.4%)
0.916
  Brain
pts
5(0.1%)
1(0.5%)
4(0.1%)
0.652
  Haemoculture
pts
1(0.0%)
0(0.0%)
1(0.0%)
0.690
  Others
pts
5(0.1%)
0(0.0%)
5(0.2%)
0.354
NICU neurointensive care unit, ESBL Extended spectrum beta-lactamase, MRSA Methicillin-resistant Staphylococcus aureus
Antibiotics policy is shown in Table 8. Antibiotic prophylaxis was given to 63% of the total population, mostly (59.2%) in association with operations. In 33.4% of the patients it was only administered in the operating theatre. Prolonged administration in the NICU was associated with more NIs (p=0.017). Antibiotic therapy was given to 9.7% of the total population.
Table 8
Administration of antibiotics in NICU
Parameter
Unit
Total population N=3464
NI group N=198
Control group N=3266
p value
Antibiotic prophylaxis
pts
2183(63.0%)
127(64.1%)
2056(63.0%)
0.736
 One prophylaxis
pts
1931(55.7%)
91(46.0%)
1840(56.3%)
<0.001
 Operation
pts
2049(59.2%)
116(58.6%)
1933(59.2%)
0.222
  Only operation theatre
pts
1157(33.4%)
61(30.8%)
1096(33.6%)
 
  Operation 1 dose
pts
924(26.7%)
42(21.2%)
882(27.0%)
 
  Operation 2 doses
pts
191(5.5%)
14(7.1%)
177(5.4%)
0.006
  Operation 3 doses
pts
40(1.2%)
4(2.0%)
36(1.1%)
 
  Operation 4 doses
pts
2(0.1%)
1(0.5%)
1(0.0%)
 
  NICU
day
 
4.96±5.69
3.31±2.88
0.017
Others
 Aspiration
pts
51(1.5%)
5(2.5%)
46(1.4%)
0.218
 Suspected infection
pts
49(1.0%)
2(1.0%)
47(1.4%)
0.600
 Trauma
pts
30(1.4%)
2(1.0%)
28(0.9%)
0.844
 Liquorrhoea
pts
46(0.9%)
6(3.0%)
40(1.2%)
0.034
 Drainage
pts
35(1.3%)
6(3.0%)
29(0.9%)
0.004
 Others
pts
31(1.0%)
4(2.0%)
27(0.8%)
0.090
 NICU
Day
 
7.75±4.61
4.54±3.33
<0.001
Type of antibiotic
 Cefazolin
pts
1733(50.0%)
106(53.5%)
1627(49.8%)
0.242
 Amoxicillin clavulanate
pts
362(10.5%)
30(15.2%)
332(10.2%)
0.028
 Clindamycin
pts
127(3.7%)
5(2.5%)
122(3.7%)
0.351
Antibiotic therapy
pts
335(9.7%)
169(85.4%)
166(5.1%)
<0.001
One infection
pts
326(9.4%)
161(81.3%)
165(5.1%)
0.019
One antibiotic
pts
220(6.4%)
100(50.5%)
120(3.7%)
0.061
Two antibiotics
pts
78(2.3%)
44(22.2%)
34(1.0%)
 
NICU start
pts
224(6.5%)
151(76.3%)
73(2.2%)
<0.001
Empirical therapy
pts
201(5.8%)
101(51.0%)
100(3.1%)
0.929
According to cultivation
pts
189(5.5%)
106(53.5%)
83(2.5%)
0.019
Days of ATB all
day
 
8.82±6.89
6.09±4.95
<0.001
Type of antibiotic
 Ceftriaxone
pts
34(1.0%)
9(4.5%)
25(0.8%)
0.003
 Ceftazidime
pts
6(0.2%)
3(1.5%)
3(0.1%)
0.982
 Meropenem
pts
75(2.2%)
48(24.2%)
27(0.8%)
0.008
 Penicillin
pts
13(0.4%)
5(2.5%)
8(0.2%)
0.378
 Oxacillin
pts
23(0.7%)
17(8.6%)
6(0.2%)
0.020
 Ciprofloxacin
day
84(2.4%)
57(28.8%)
27(0.8%)
<0.001
 Trimethoprim
pts
17(0.5%)
10(5.1%)
7(0.2%)
0.478
Gentamicin
pts
25(0.7%)
15(7.6%)
10(0.3%)
0.321
Others
pts
71(2.0%)
29(14.6%)
42(1.3%)
0.068
NICU neurointensive care unit, ATB antibiotic
We compared patients with NI onset in the NICU (77.3%) with NI present on admission (22.7%), (Table 9). We identified 153 (4.4%; wound 1.0%, respiratory 1.7%, urinary 0.9%, bloodstream 0.6% and other 0.1%) patients with NI onset in the NICU. Patients with NI onset in the NICU stayed in the NICU significantly longer, and were more expensive, but these patients did not have higher mortality. Multivariate logistic regression analysis seeking significant predictors for onset of NI in the NICU can be seen in Table 10. Our results showed that strong predictors on onset of NI in our neurocritical care were accesses such as airways and urine catheters, NICU stay, antibiotic prophylaxis, wound complications and transfusion. This analysis did not find the multidrug-resistant bacteria as ESBL and MRSA to be a predictor of NI.
Table 9
Nosocomial infections on admission and onset in the NICU
Parameter
Unit
NI total
NI on admission
NI onset in NICU
p value
Number total
pts
198 (100%)
45 (22.7%)
153 (77.3%)
 
Age
pts
57.2±15.6
53.7±16.9
58.3±15.1
0.086
Male
pts
117(59.1%)
18(40.0%)
63(41.2%)
<0.001
NICU stay
day
15.3±11.7
6.9±7.2
17.7±11.6
<0.001
Diagnoses
 Stroke
pts
110(55.6%)
13(28.9%)
97(63.4%)
 
 Trauma
pts
27(13.6%)
3(6.7%)
24(15.7%)
 
 Tumour
pts
33(16.7%)
13(28.9%)
20(13.1%)
 
 Epilepsy
pts
3(1.5%)
0(0.0%)
3(2.0%)
<0.001
 Hydrocephalus
pts
13(6.6%)
7(15.6%)
6(3.9%)
 
 Infection
pts
11(5.6%)
9(20.0%)
2(1.3%)
 
 Others
pts
1(0.5%)
0(0.0%)
1(0.7%)
 
TISS on admission
 
54.7±1.9
56.0±179
54.3±1.8
<0.001
TISS total
 
270632.8±231533.1
111173.7±231533.1
309492.6±234698.9
<0.001
GCS on admission
 
11.5±3.5
12.0±3.3
11.3±3.5
0.234
APACHE II on admission
 
15.1±5.5
13.6±5.4
15.4±5.5
0.099
GOS on NICU discharge
 
3.1±1.1
3.5±1.2
3.0±1.1
0.015
Mortality in NICU
pts
21(10.6%)
3(6.7%)
18(11.8%)
0.329
Operation
pts
151(76.3%)
37(82.2%)
114(74.5%)
0.285
Airways
pts
112(56.6%)
16(35.6%)
96(62.7%)
0.001
Mechanical ventilation
pts
87(43.9%)
7(15.6%)
80(52.3%)
<0.001
Artery catheter
pts
90(45.5%)
6(13.3%)
84(54.9%)
<0.001
Central venous catheter
pts
64(32.3%)
11(24.4%)
53(34.6%)
0.199
Lumbar drainage
pts
36(18.2%)
5(11.1%)
31(20.3%)
0.162
Ventricular drainage
pts
21(10.6%)
3(6.7%)
18(11.8%)
0.329
Corticoids
pts
47(23.7%)
11(24.4%)
36(23.5%)
0.899
Transfusions
pts
41(20.7%)
5(11.1%)
36(23.5%)
0.071
Ulcer prophylaxis
pts
134(67.7%)
27(60.0%)
107(69.9%)
0.210
Diabetes Mellitus
pts
22(11.1%)
3(6.7%)
19(12.4%)
0.280
Antibiotic prophylaxis
pts
127(64.1%)
23(51.1%)
104(68.0%)
0.038
Antibiotic therapy
pts
169(85.4%)
28(62.2%)
141(92.2%)
<0.001
ESBL
pts
6(3.0%)
1(2.2%)
5(3.3%)
0.719
MRSA
pts
7(3.5%)
1(2.2%)
6(3.9%)
0.587
One infection
pts
189(95.5%)
45(100.0%)
144(94.1%)
 
Two infections
pts
8(4.0%)
0(0.0%)
8(5.2%)
0.250
Three infections
pts
1(0.5%)
0(0.0%)
1(0.7%)
 
 Bloodstream
pts
23(11.6%)
1(2.2%)
22(14.4%)
0.025
   Vascular catheter
pts
14(7.1%)
1(2.2%)
13(8.5%)
0.149
 Respiratory
pts
63(31.8%)
3(6.7%)
60(39.2%)
< 0.001
  VAP
pts
34(17.2%)
1(2.2%)
33(21.6%)
0.002
 Urinary
pts
35(17.7%)
5(11.1%)
30(19.6%)
0.189
  Urinary catheter
pts
33(16.7%)
5(11.1%)
25(16.3%)
0.255
 Wound without operation
pts
2(1.0%)
1(2.2%)
1(0.7%)
0.355
 Wound with operation
pts
70(35.4%)
35(77.8%)
35(22.9%)
<0.001
  Wound complication
   Liquorrhoea
pts
14(7.1%)
7(15.6%)
7(4.6%)
0.012
   Dehiscence
pts
11(5.6%)
9(20.0%)
2(1.3%)
<0.001
   Fistula
pts
6(3.6%)
3(6.7%)
3(2.0%)
0.105
NICU neurointensive care unit, TISS Therapeutic Intervention Scoring System, GCS Glasgow Coma Scale, APACHE Acute Physiology and Chronic Health Evaluation, GOS Glasgow Outcome Scale, ESBL Extended spectrum beta-lactamase, MRSA Methicillin-resistant Staphylococcus aureus, VAP ventilator associated pneumonia
Table 10
Multivariate logistic regression analysis of nosocomial infection onset in NICU
Multivariate analysis
    
Nosocomial infections predictors
Odds Ratio
Lower CL 95%
Upper CL 95%
p value
NICU stay (per day)
1.14
1.12
1.16
< 0.001
Airways
2.69
1.81
3.99
< 0.001
Urine catheter
2.77
1.00
7.70
0.050
Transfusions
1.79
1.07
2.97
0.025
Wound complications
2.30
1.33
3.97
0.003
Antibiotic prophylaxis
0.50
0.34
0.74
< 0.001
NICU neurointensive care unit, CL confidence limit

Discussion

Maintaining nosocomial infection control management is one marker of quality in neurocritical care. Its target is to improve clinical outcomes and decrease costs in the neurocritical care unit. Preventions of nosocomial infections are an important issue in all medical or surgical critical care units, but in neurocritical care they have an additional risk as a cause of secondary brain damage, which affects the morbidity and mortality of primary brain diseases [15]. As the aim of neurocritical care is to avoid all insults causing secondary brain damage, preventive management of nosocomial infections is a challenge for neurointensivists. Incidence of nosocomial infections can be reduced by keeping a hygienic and epidemiological regime and rational antibiotic policy. Nosocomial infection management demands constant maintenance and stable teamwork while maintaining standard procedures. We present our preventive multimodal nosocomial infection protocol, which we implemented in our NICU. The first phase involves imposing hygienic principles and the antibiotics policy. The second phase, actually keeping to this protocol, is a much more difficult task in our experience, as a vital component for its success is the participation of the whole team, from doctors and nurses to cleaners working in the neurocritical care unit and even visitors. The use of standard procedures and meticulous checks are an important part of the regime.
Here we present the impact of our preventive nosocomial infection management on the incidence of nosocomial infections in all the patients admitted to our NICU with acute brain disease. The results show that our preventive protocol was not sufficient to completely eliminate all nosocomial infections, but it did lead to a relatively low nosocomial infection incidence of 4.4%. We did not observe differences between various seasons of the year, either among primary or secondary admissions, but we did among acute admissions, acute operations and reoperations. Infections were more frequently associated with strokes than other brain diagnoses. There were significantly more infections in airways, mechanical ventilations and catheters, but only airways and urine catheters were strong predictors in multivariate logistic regression analysis. These are still risk factors which remained despite the maintenance of the preventive strategy. Further predictors were confirmed to be the well-known factors of NICU stay, wound complications, antibiotic prophylaxis and transfusion.
The increasing colonisation of multidrug-resistant bacteria ESBL and MRSA is a big problem among critically ill patients and this situation is getting worse. At present, many patients already have these bacteria on admission and this colonization constitutes a risk of nosocomial infections [1618]. We deal with this by completely isolating these patients using barrier care techniques in order to prevent the transmission of these multidrug-resistant ESBL and MRSA to other, uncolonised patients. This was reflected in our results, which showed that we had newly occurred ESBL in only in 31 (0.9%) patients and MRSA in 30 (0.9%) patients. In this study we did not find that multidrug-resistant bacteria were a predictor of nosocomial infections.
Antibiotics policy, predominantly the overuse of antibiotics, is another big issue in preventive multimodal nosocomial infection protocol. From our results, we see that antibiotic prophylaxis is mainly used in association with operations and only 9.7% of the total population received antibiotic therapy. Unindicated use of antibiotics contributes to the emergence and spread of multidrug-resistant bacteria, which are becoming a growing problem in healthcare facilities. Antibiotics should only be given during operations and their administration should not be prolonged in the NICU. During the prophylactic use of antibiotics it is essential not only to keep to the indication, but also to maintain the time of administration. However, this study confirmed that antibiotic prophylaxis policy is an important task, because antibiotic prophylaxis was found to be a predictor of nosocomial infection in the neurocritical care population. While using antibiotics, it is essential to maintain the correct administration and not use antibiotics during the colonisation of the patient, but only for the infection. Timing, dosage and tissue penetration are important in their administration.
Our microbiological screening was the same for all patients, who can therefore be compared easily. The unified system included nose, throat, trachea, skin, urine and rectum tests from admission, so that we would know what the patient was admitted with, and then regularly every three days. This means that this microbiological screening sometimes fell on the weekend, which at first was difficult to implement in the microbiological department. Regular microbiological screening from admission took place every three days, giving us an overview of the microbiological state of the patient and allowing us to find colonization of multidrug-resistant bacteria [18] and further perform the targeted antibiotic treatment of nosocomial infections.
Although it would be better to have single-patient boxes, the lay-out of four divided rooms provides some of the benefits and enables the isolation of patients with multidrug-resistant bacteria ESBL and MRSA, as it is very important to isolate these patients so that these bacteria do not spread to the rest of the NICU and the other patients. Our results show that over a ten-year period we did not have a large incidence of the multidrug-resistant bacteria ESBL and MRSA, while there was not a single case of VRE. This is in contrast to the Minhas [19] study, where he mentioned 2.5% of VRE in the neurosurgical and neurological intensive care unit.
This study confirmed that accesses are still a risk factor for nosocomial infection. Due to increasing numbers of invasive medical procedures in neurocritical care, local preventive infection control management has an important task. Although preventive multimodal strategy is widely known to reduce nosocomial infection and multidrug resistant bacteria, it is sometimes difficult to maintain. Nonetheless, the results of this study show the importance of this maintenance. We present our 10 year prospective infection control management, which was efficient, as it led to a rate of 4.4% nosocomial infections in acute neurological and neurosurgical care patients. Due to multiple testing, there is a higher probability of family-wise error. On the other hand, the results must be read in context, not every p-value below 0.05 is commented on as a finding.
This study showed prospective infection control management in 3464 neurocritically care patients. Although they all came from a single neurocentre, which is a limitation of this study, there are already many more epidemiologic studies regarding nosocomial infection control and multi-drug resistant bacteria from the medical and surgery intensive care units than from neurocritical care units, whether neurosurgical or neurological, and very few studies concerned with neurological-neurosurgical critical care units [19, 20]. In this area, more studies focus on specific diagnoses [1, 2, 7, 21, 22] than whole neurocritical care populations.

Conclusions

This study showed that this preventive multimodal nosocomial infection control management was efficient, because it gave low rates of nosocomial infections (4.2%), both ESBL and MRSA in a mere 0.9% of patients each and not a single case of VRE. Strong predictors for the onset of nosocomial infections were accesses such as airways and urine catheters, NICU stay, antibiotic prophylaxis, wound complications and transfusion. This study confirmed the well-known fact that nosocomial infections are associated with worse outcome, higher cost and longer NICU stay.

Acknowledgement

We thank the translator and native English speaker Henry Morgan (BA honours) for the correction of the English text. This study was published as an abstract of the 23rd annual congress of the European Society of Intensive Care Med Experimental 2016;4(S1):426.

Funding

This study was supported by grants from the Scientific Board of the hospital, number VR 140312.

Availability of data and materials

The datasets obtained during this study are available from the corresponding author on reasonable request.
The study was approved by the Liberec hospital Ethics Committees for Multicentric Clinical Trials (č.j. EK27/2008). All participants gave written informed consent prior to all measurements and agreed upon publication.
Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
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Metadaten
Titel
Low incidence of multidrug-resistant bacteria and nosocomial infection due to a preventive multimodal nosocomial infection control: a 10-year single centre prospective cohort study in neurocritical care
verfasst von
Vera Spatenkova
Ondrej Bradac
Daniela Fackova
Zdenka Bohunova
Petr Suchomel
Publikationsdatum
01.12.2018
Verlag
BioMed Central
Erschienen in
BMC Neurology / Ausgabe 1/2018
Elektronische ISSN: 1471-2377
DOI
https://doi.org/10.1186/s12883-018-1031-6

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