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Erschienen in: BMC Infectious Diseases 1/2019

Open Access 01.12.2019 | Research article

Epidemiology and risk factors for nosocomial infection in the respiratory intensive care unit of a teaching hospital in China: A prospective surveillance during 2013 and 2015

verfasst von: Linchuan Wang, Kai-Ha Zhou, Wei Chen, Yan Yu, Si-Fang Feng

Erschienen in: BMC Infectious Diseases | Ausgabe 1/2019

Abstract

Background

To determine the epidemiology and risk factors for nosocomial infection (NI) in the Respiratory Intensive Care Unit (RICU) of a teaching hospital in Northwest China.

Methods

An observational, prospective surveillance was conducted in the RICU from 2013 to 2015. The overall infection rate, distribution of infection sites, device-associated infections and pathogen in the RICU were investigated. Then, the logistic regression analysis was used to test the risk factors for RICU infection.

Results

In this study, 102 out of 1347 patients experienced NI. Among them, 87 were device-associated infection. The overall prevalence of NI was 7.57% with varied rates from 7.19 to 7.73% over the 3 years. The lower respiratory tract (43.1%), urinary tract (26.5%) and bloodstream (20.6%) infections accounted for the majority of infections. The device-associated infection rates of urinary catheter, central catheter and ventilator were 9.8, 7.4 and 7.4 per 1000 days, respectively.The most frequently isolated pathogens were Staphylococcus aureus (20.9%), Klebsiella pneumoniae (16.4%) and Pseudomonas aeruginosa (10.7%). Multivariate analysis showed that the categories D or E of Average Severity of Illness Score (ASIS), length of stay (10–30, 30–60, ≥60 days), immunosuppressive therapy and ventilator use are the independent risk factors for RICU infection with an adjusted odds ratio (OR) of 1.65 (95% CI: 1.15~2.37), 5.22 (95% CI: 2.63~10.38)), 2.32 (95% CI: 1.19~4.65), 8.93 (95% CI: 3.17~21.23), 31.25 (95% CI: 11.80~63.65)) and 2.70 (95% CI: 1.33~5.35), respectively.

Conclusion

A relatively low and stable rate of NI was observed in our RICU through year 2013–2015. The ASIS-D、E, stay ≥10 days, immunosuppressive therapy and ventilator use are the independent risk factors for RICU infection.
Hinweise
Linchuan Wang and Kai-Ha Zhou contributed equally to this work.
Abkürzungen
ASIS
Average severity of illness score
CABSI
Catheter-associated bloodstream infections
CAUTI
Catheter-associated urinary tract infections
CDC
Center for disease control and prevention
COPD
Chronic obstructive pulmonary disease
DIC
Disseminated intravascular coagulation
DU
Device utilization
ICU
Intensive care unit
NI
Nosocomial infection
OR
Odds ratio
RICU
Respiratory intensive care unit
VAP
Ventilator-associated pneumonia

Background

Nosocomial infection (NI) which also called “hospital-acquired or health care-associated infection” is a serious public health issue affecting hundreds of millions of people every year worldwide [1]. NI is defined as an infection occurring in a patient admitted to the health-care settings for more than 48 but without any evidence that the infection was present or incubating at the time of admission [13]. In the hospitals or other health care facilities, NI is a leading cause of increased morbidity, mortality and financial burden [17]. The incidence of NI as most studies reporting data ranged from 3.6 to 12% in high-income countries [810] and 5.7 to 19.1% in low- and middle-income coutries [8, 11]. Predisposing factors, i.e., the invasive procedures [1215], long hospital stay [16], excessive antibiotics usage [9] and the existence of severe illness [17] lead to NI rate in patients admitted to the intensive care unit (ICU) several fold higher than that in the general hospital population [1821]. Now, NI is more concerned as the focus of safety and quality improvements efforts in many hospitals. The study was designed to investigate the epidemiology, risk factors and outcome of NI in a Respiratory ICU (RICU) at the largest teaching hospital in Northwest China.

Methods

Study population

This study was conducted in RICU of the First Affiliated Hospital of Xi’an Jiaotong University, which is the largest hospital in Northwest China. It is a 2541-bed teaching hospital with a 16-bed RICU and about 3 millions outpatients annually. The nurse-to-patient ratio in RICU is about 1: 2–3 per shift. A total of 1347 patients admitted to the RICU for more than 48 h were included in the study from January 2013 to December 2015. NI was defined as an infection developed after 48 h of RICU admission and diagnosed according to the the American Center for Disease Control and Prevention (CDC) criteria [22]. In the study, the infection on a different site and with different pathogens from the primary infection that occurred at least 48 h after admission to the RICU was also classified as NI.

Data collection

The patients were followed until discharge from RICU or death, and the information on each patient was recorded on the standard surveillance paper chart. All patients with suspected infection underwent liver and renal function test, whole blood count、urine、fecal and coagulation profile examinations, chest radiography, blood、tracheal aspirate and other body fluids cultures as clinically indicated. Demographic information, i.e., the gender, age, admission and discharge dates, temperature, admission diagnosis, comorbidity, device use and the period of application, laboratory tests, chest radiographs, the isolated pathogens and susceptibility testing to antimicrobial agents, infection sites, drug usage were collected.

The assessment of ASIS

The disease severity was assessed by the Average Severity of Illness Score (ASIS), which was from the Standard for Nosocomial Infection Surveillance of China and established by China Ministry of Health. The criteria of ASIS was as follows: ASIS-A: The patients should be required only routine monitor without intensive care and treatment, and they usually discharged from ICU within 48 h; ASIS-B: The patients, such as the cases admitted to ICU to exclude myocarditis or myocardial infarction, were in stable condition and just required preventive monitor without intensive care and treatment; ASIS-C: The patients, such as those with chronic renal failure, were in stable condition and required intensive care; ASIS-D: The patients in unstable condition but without coma, shock and Disseminated Intravascular Coagulation (DIC), should be performed intensive care and treatment. The treatment should be regularly evaluated and adjusted; ASIS-E: The patients with unstable condition were in coma or shock. The cardio-pulmonary resuscitation, intensive care and treatment should be performed. The intensive care and treatment should be regularly evaluated and adjusted.
According to the Standard for Nosocomial Infection Surveillance of China, the gender, age, admission diagnosis, disease severity, comorbidity, immunosuppressive therapy and invasive procedures were investigated as the potential risk factors for NI in the study.

Research indexes and definitions

The prevalence of nosocomial infection rate was calculated by dividing the total number of nosocomial infections by the total number of patients (× 100). The device-associated nosocomial infection rate was calculated by dividing the total number of device-associated infection by the total days of device application (× 1000). The device utilization (DU) ratios was calculated by dividing the days of device application by the total patient days.

Statistical analysis

Statistical analyses were performed using SPSS 13.0 (serial number 5026743; SPSS Inc., Chicago, IL, USA). Descriptive frequencies were expressed using mean (standard deviation). Chi-square tests were used to compare the rates. For evaluating risk factors of NI, univariate analysis and multivariable logistic regression analysis were used to derive crude OR and adjusted OR, respectively. A p-value < 0.05 was considered statistically significant.

Results

RICU admission patients’ characteristics, demographic and clinical data

During the study period, a total of 1347 patients were included, 893 males (66.3%) and 454 females (33.7%), with a mean age of 58.6 years (SD = 17.1). The average length of RICU stay was 8.54 ± 17.72 days, giving 11,501 patient-days. The pneumonia, chronic obstructive pulmonary disease (COPD) and lung cancer accounted for the majority of the RICU admission diagnosis (40.98, 38.9 and 11.6%, respectively). According with ASIS, the patients were mainly in B (42.69%) and C (33.78%) grades. The patients distribution in each month during 2013–2015 was no significant difference (one-way ANVOA, p = 0.064) with 112.2 ± 7.5 numbers per month, the highest and lowest numbers were observed in December (120) and June (100), respectively, Fig. 1a. The COPD exacerbated in December, January and February, pneumonia (community acquired pneumonia) more appeared in July and August, but the proportion of lung cancer in each month was close Fig. 1a. The characteristics of the RICU admission patients were shown in Table 1.
Table 1
The characteristics of 1347 patients admitted to the RICU
Parameter
Overall (n = 1347)
Incidence of nosocomial infection
No
% /\( \overline {\mathrm{X}} \)± s
No
%
χ2
p- value
Age, years
 
58.6 ± 17.1
    
Gender
 Male
893
66.3
67
7.50
0.016
0.9
 Female
454
33.7
35
7.71
Admission diagnosis
 COPD
524
38.90
31
5.92
8.438
0.038
 Pneumonia
552
40.98
43
7.79
 Lung cancer
156
11.58
21
13.46
 Others
115
8.54
7
6.09
ASIS class
 A
221
16.41
9
4.07
49.42
< 0.001
 B
575
42.69
27
4.7
 C
455
33.78
45
9.89
 D
73
5.42
13
17.81
 E
23
1.71
8
34.78
Years
 2013
431
32.00
31
7.19
0.213
0.795
 2014
450
33.41
35
7.78
 2015
466
34.60
36
7.73
RICU stay, days
 <10
775
57.54
19
2.45
134.998
0.000
 10~30
445
33.04
33
7.42
 30~60
72
5.35
21
29.2
  ≥ 60
55
4.08
29
52.7

The characteristics of of nosocomial infection in RICU

During the study, 43 of the 552 cases admitted to the RICU with community acquired pneumonia developed NI (a different pathogens than the initial one was isolated). In total, 102 out of 1347 patients experienced NI, 67 males and 35 females, with a prevalence of 7.57% (8.9 per 1000 days). The incidence rate of NI in male (7.5%) was close to that in female (7.7%), p = 0.90. There is no significant change in the incidence rate of NI during the 3 years (range: 7.19 to 7.73%), p = 0.795. The NI in RICU occurred frequently in June, July and August, Fig. 1b. The NI rate in patients with lung cancer (13.5%) was significantly higher than that in patients with pneumonia (7.9%) and in patients with COPD (6.1%), p = 0.038. With the severity of disease progression from A to E grade, the NI rate increased from 4.07 to 34.78%, p < 0.001, Fig. 2a. The increasing of NI was also found when the length of RICU stay prolonged, p = 0.000, Table 1, Fig. 2b.
One hundred seventy-seven pathogens were isolated and identified from the 102 infections, 83 g-negative bacilli and 63 g-positive cocci and 31 fungi. Staphylococcus aureus (20.9%), Klebsiella pneumoniae (16.4%) and Pseudomonas aeruginosa (10.7%) were the most frequently isolated pathogens. The lower respiratory tract, urinary tract and bloodstream accounted for the majority of the RICU-acquired infections (43.1, 26.5 and 20.6%, respectively), Table 2.
Table 2
The infection sites and pathogens isolated in nosocomial infections
Causative organism
No
%
Gram-negative bacilli (n = 83)
Klebsiella pneumoniae
29
16.4
Pseudomonas aeruginosa
19
10.7
Escherichia coli
17
9.6
Acinetobacter baumanii
10
5.6
Pseudomonas cepacia
5
2.8
 Others
3
1.8
Gram-positive cocci (n = 63)
Staphylococcus aureus
37
20.9
Stahylococcus epidermidis
16
9.0
Streptococcus viridans
6
3.4
 Others
4
2.3
Fungi (n = 31)
Candida albicans
15
8.5
Candida parapsilosis
5
6.2
Aspergillus
11
2.8
Total (overall)
177
100.0
Infection sites
No
%
 Lower respiratory tract
44
43.1
 Upper respiratory tract
2
26.5
 Urinary tract
27
20.6
 Blood stream
21
4.9
 Gastrointestinal tract
5
2.9
 Surgical sites
3
2.0
Total (overall)
102
100.0

Device-associated nosocomial infection in RICU

A total of 87 device-associated nosocomial infections, i.e., 28 catheter-associated urinary tract infections (CAUTI), 12 catheter-associated bloodstream infections (CABSI) and 47 ventilator-associated pneumonia (VAP) were detected in 1347 patients, resulting in an overall rate of 6.5% (7.6 per 1000 days) and accounting for 85.3% of RICU-acquired infections. During the study period, the device application was 3767 days for urinary catheter, 1615 days for central catheter and 4804 days for ventilator, with a device utilization ratio of 0.33, 0.14 and 0.42, respectively. The rate of infection was 9.8 per 1000 days of VAP, 7.4 per 1000 days of CAUTI and 7.4 per 1000 days of CABSI, Table 3. The correlation coefficients between the device utilization and NI were 0.41 for urinary catheter (p = 0.017), 0.139 for central catheter (p = 0.087) and 0.314 for ventilator (p = 0.003). No significant differences were observed between the VAP,
Table 3
The device-associated infection rate and device utilization (DU) ratio
Month
Patient days
CAUTI
CABSI
VAP
No
Catheter days
CAUTI rate
DU ratio
No
Catheter days
CABSI rate
DU ratio
No
Ventilator days
Vap rate
DU ratio
Jan
1161
3
437
6.9
37.6
0
152
0
13.1
5
474
10.6
40.8
Feb
972
3
314
9.6
32.3
1
74
13.4
7.6
4
381
10.5
39.2
Mar
1100
4
360
11.1
32.7
1
152
6.6
13.8
3
566
5.3
51.5
Apr
1045
1
243
4.1
23.3
0
198
0
18.9
5
474
10.5
45.4
May
947
3
210
14.3
22.2
1
25
40.3
2.6
3
482
6.2
50.9
Jun
769
3
205
14.6
26.7
1
118
8.5
15.3
3
335
9
43.6
Jul
853
3
248
12.1
29.1
3
130
23
15.2
6
304
19.7
35.6
Aug
748
2
197
10.2
26.3
1
37
26.9
4.9
7
262
26.7
35.0
Sep
805
3
464
6.5
57.6
1
153
6.5
19.0
4
253
15.8
31.4
Oct
1083
0
451
0
41.6
1
226
4.4
20.9
2
492
4.1
45.4
Nov
970
1
344
2.9
35.5
0
192
0
19.8
3
478
6.3
49.3
Dec
1048
2
311
6.4
29.7
2
164
12.2
15.6
2
295
6.8
28.1
Total
11,501
28
3784
7.4
32.9
12
1622
7.4
14.1
47
4796
9.8
41.7
CAUTI and CABSI rates (χ2 = 0.412, P = 0.810).

Risk factors analysis for nosocomial infection in RICU

There are 16 potential risk factors for NI in RICU (Table 4). In the univariate analysis, underlying diseases (lung cancer), ASIS-C˴ D˴ E, RICU stay (≥ 10 days), trauma, diabetes mellitus, immunosuppressive therapy, endotracheal intubation, tracheotomy, utilization of urinary catheter, central catheter and ventilator were identified as risk factors for NI in RICU, P < 0.05.
Table 4
The risk factors for nosocomial infection in RICU
Factors
No
Crude
Adjusted
Patients with infections
Patients without infections
OR
95%CI
p-value
OR
95%CI
p-value
Age, years
 < 60
35
826
1
  
1
  
 ≥ 60
67
419
0.97
0.64~1.49
0.892
1.43
0.81~2.55
0.221
Gender
 Male
67
826
1
  
1
  
 Female
35
419
0.97
0.64~1.49
0.892
0.79
0.44~1.41
0.423
Admission diagnosis
 COPD
31
493
1
  
1
  
 Pneumonia
43
509
1.34
0.83~2.17
0.226
0.16
0.02~1.26
0.082
 Lung cancer
21
135
2.47
1.38~4.44
0.002
0.11
0.02~0.80
0.059
 Others
7
108
1.03
0.44~2.40
0.944
0.18
0.03~1.20
0.076
ASIS
 A
9
212
1
  
1
  
 B
27
548
1.16
0.54~2.51
0.705
1.16
0.81~1.66
0.412
 C
45
410
2.59
1.24~5.39
0.011
1.44
0.92~2.25
0.116
 D
13
60
5.10
2.08~12.52
0.000
1.65
1.15~2.37
0.007
 E
8
15
12.56
4.24~37.25
0.000
5.22
2.63~10.38
0.000
RICU stay, days
<10
19
756
1
  
1
  
 10~30
33
412
3.19
1.79~5.48
0.000
2.32
1.19~4.65
0.018
 30~60
21
51
16.38
8.28~32.41
0.000
8.93
3.17~21.23
0.000
  ≥ 60
29
26
44.38
22.08~89.21
0.000
31.25
11.80~63.65
0.000
Diabetes mellitus
 No
35
795
1
  
1
  
 Yes
67
450
3.38
2.21~5.17
0.000
1.14
0.94~1.38
0.183
Hypertension
 No
66
889
1
  
1
  
 Yes
36
356
1.36
0.89~2.08
0.153
1.06
0.88~1.26
0.321
Cerebrovascular diseases
 No
71
895
1
  
1
  
 Yes
31
350
1.12
0.72~1.73
0.623
1.05
0.81~1.24
0.226
Post-operative tumor
 No
82
1063
1
  
1
  
 Yes
20
182
1.43
0.85~2.38
0.177
1.06
0.87~1.15
0.197
Trauma
 No
82
1187
1
  
1
  
 Yes
20
58
4.99
2.87~8.70
0.000
1.23
0.92~1.27
0.08
Immunosuppressive therapy
 No
13
729
1
  
1
  
 Yes
89
516
9.67
5.35~17.50
0.000
1.82
1.53~4.06
0.013
Urinary catheterization
 No
39
533
1
  
1
  
 Yes
63
712
1.21
0.80~1.83
0.369
1.27
0.94~1.71
0.116
Central venous catheterization
 No
55
753
1
  
1
  
 Yes
47
492
1.31
0.87~1.96
0.195
1.30
0.78~2.17
0.318
Ventilator
 No
78
1027
1
  
1
  
 Yes
24
218
1.45
0.90~2.34
0.13
2.70
1.33~5.35
0.006
Endotracheal intubation
 No
83
1172
1
  
1
  
 Yes
19
73
3.68
2.12~6.38
0.000
1.28
0.81~2.06
0.283
Tracheotomy
 No
23
467
1
  
1
  
 Yes
79
778
1.67
1.03~2.69
0.036
1.14
0.78~1.52
0.389
Multivariable logistic regression analysis was conducted to control for the effects of confounding variables. The final analysis showed that ASIS-D˴E, RICU stay (≥ 10 days), immunosuppressive therapy and ventilator utilization are independent risk factors. In RICU ward, patients who were in D˴ E grade, with immunosuppressive therapy, 10–30˴ 30–60 and ≥ 60 days stay and ventilator utilization were 1.65, 5.22, 1.82, 2.32, 8.93, 31.25 and 2.70 times, respectively, more likely to develop NI compared to the control patients who were in A grade, absence of immunosuppressive therapy, with < 10 days stay, and absence of ventilator utilization, respectively, Table 4, Fig. 3. One hundred forty-six patients died during the study period, 21 patients with NI and 125 patients without NI, with a mortality rate of 10.8% (12.7 per 1000 days). The mortality rate in patients with NI was 20.6%, which was significantly higher than that in patients without NI (10.4%), p = 0.001. The incidence of death in patients with NI was 2.32 times to those without NI (95% CI: 1.39–3.89).

Discussion

NI causes increased morbidity, mortality and financial burden at the hospital setting [17, 23]. The infection surveillance and risk factors analysis are important prerequisites for the prevention and treatment of NI. At present, abundant literatures focus on the healthcare-associated infection [4, 6, 911, 17], infection in ICU [16, 1821, 23] and device-associated infection [1215] have been reported. However, few studies on the topic of infection in RICU have been published. Thus, we conducted this prospective surveillance during 2013 and 2015 to determine the epidemiology and risk factors for NI in RICU at the First Affiliated Hospital of Xi’an Jiaotong University, China. But it was a single cente study and from the largest hospital in Northwest China. The selective bias of the study may affect the generalization of the results.
In our study, there was no significant change in the incidence rate of NI over the 3 years. The overall prevalence of NI in RICU was 7.57%, which was lower than the published rates in European survey (8%) [24] and in India (33.5%) [25]. The mean length of stay was 8.54 days, which was lower than that reported in Italy [26]. In our RICU, COPD was the common underlying diseases, which is in agreement with the published study [26]. Similar to previous reports from other countries,24, 25 the most frequently isolated pathogens were Staphylococcus aureus, Klebsiella pneumoniae and Pseudomonas aeruginosa. The common distribution of RICU infections were lower respiratory tract, urinary tract and bloodstream, this is similar to the reports for ICU infection in China [15], European [9, 16] and Malaysian [27].
In the present study, the device-associated infection accounted for the most of RICU-acquired infections (85.3%). The device utilization ratios (0.14–0.42) were lower than the published rates in Europe, Malaysian and surveys from 61 countries (0.52–0.95) [12, 14, 2729]. The VAP rate in our study was significantly lower than that in Greece [14], Malaysian [27]and surveys from 61 countries [28, 29] where the rates varied from 13.6 to 20 per 1000 days. The CAUTI rate in our study was lower than that in Malaysian (15.6 per 1000 days) [27], but higher than the published rates (4.2–6.3 per 1000 days) [14, 28, 29]. The CABSI rate in the present study was lower than that in Greece (11.8 per 1000 days) [14], but higher than that in Malaysian (3.0 per 1000 days) [27].
Previous studies [11, 14, 16, 17, 25, 30] indicated that surgery, device utilization, antimicrobial use and length of stay were the risk factors for NI. In our study, the incidence of RICU infection in patients with stay (≥ 10 days), ASIS-C˴ D˴ E, lung cancer, trauma, diabetes mellitus, immunosuppressive therapy, tracheotomy, device utilization was significant higher than that in the control patients (P < 0.05). But only ASIS-D˴ E, stay ≥10 days, immunosuppressive therapy and ventilator utilization are independent risk factors for RICU infection (P < 0.05). The incidence of death in patients with NI was 2.32 times to those without NI.

Conclusions

In conclusion, a relatively low and stable rate of NI was observed in our RICU through year 2013–2015. ASIS-D˴ E, stay ≥10 days, immunosuppressive therapy and ventilator use are independent risk factors for developing infection in our RICU. High mortality rates in patients with infection suggest that infection control activities in RICU must be constantly maintained in order to reduce the rate.

Acknowledgments

None.

Funding

This study was supported and designed by the grant of The First Affiliated Hospital of Xi’an Jiaotong University, Shaanxi Province, China (No. 2016MS-01).

Availability of data and materials

The data used in the study was available from the Department of Respiratory Intensive Care Unit of the First Affiliated Hospital of Xi’an Jiaotong University.
The study was deemed exempt from review by the Ethics Committee of the First Affiliated Hospital of Xi’an Jiaotong University as routine data for clinical purpose were used and all the information of patients was kept confidential in the study.
Not applicable.

Competing interests

LW, KHZ, WC, YY and SFF declare that they have no competing interests.

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Literatur
2.
Zurück zum Zitat Garner JS, Jarvis WR, Emori TG, Horan TC. Hughes JM. CDC definitions for nosocomial infections. Am Rev Respir Dis. 1988;16:128–40. Garner JS, Jarvis WR, Emori TG, Horan TC. Hughes JM. CDC definitions for nosocomial infections. Am Rev Respir Dis. 1988;16:128–40.
3.
Zurück zum Zitat Lipsett PA. Nosocomial infections. Surgery, Springer New York. 2008;91:273–86. Lipsett PA. Nosocomial infections. Surgery, Springer New York. 2008;91:273–86.
4.
Zurück zum Zitat Umscheid CA, Mitchell MD, Doshi JA, Agarwal R, Williams K, Brennan PJ. Estimating the proportion of healthcare-associated infections that are reasonably preventable and the related mortality and costs. Infect Control Hosp Epidemiol. 2011;32:101–14.CrossRef Umscheid CA, Mitchell MD, Doshi JA, Agarwal R, Williams K, Brennan PJ. Estimating the proportion of healthcare-associated infections that are reasonably preventable and the related mortality and costs. Infect Control Hosp Epidemiol. 2011;32:101–14.CrossRef
5.
Zurück zum Zitat Erbay RH, Yalcin AN, Zencir M, Serin S, Atalay H. Costs and risk factors for ventilator-associated pneumonia in a Turkish University Hospital's intensive care unit: a case-control study. BMC Pulm Med. 2004;4:1–7.CrossRef Erbay RH, Yalcin AN, Zencir M, Serin S, Atalay H. Costs and risk factors for ventilator-associated pneumonia in a Turkish University Hospital's intensive care unit: a case-control study. BMC Pulm Med. 2004;4:1–7.CrossRef
6.
Zurück zum Zitat Cassini A, Plachouras D, Eckmanns T, et al. Burden of six healthcare-associated infections on European population health: estimating incidence-based disability-adjusted life years through a population prevalence-based modelling study. PLoS Med. 2016;13:e1002150.CrossRef Cassini A, Plachouras D, Eckmanns T, et al. Burden of six healthcare-associated infections on European population health: estimating incidence-based disability-adjusted life years through a population prevalence-based modelling study. PLoS Med. 2016;13:e1002150.CrossRef
7.
Zurück zum Zitat Rosenthal VD, Maki DG, Mehta Y, et al. International nosocomial infection control consortium (INICC) report, data summary of 43 countries for 2007-2012. Device-associated module. Am J Infect Control. 2014;42:942–56.CrossRef Rosenthal VD, Maki DG, Mehta Y, et al. International nosocomial infection control consortium (INICC) report, data summary of 43 countries for 2007-2012. Device-associated module. Am J Infect Control. 2014;42:942–56.CrossRef
8.
Zurück zum Zitat WHO. Report on the burden of endemic health care-associated infection worldwide. World Health Organization 2011. WHO. Report on the burden of endemic health care-associated infection worldwide. World Health Organization 2011.
9.
Zurück zum Zitat Zarb P, Coignard B, Griskeviciene J, et al. The European Centre for Disease Prevention and Control (ECDC) pilot point prevalence survey of healthcare-associated infections and antimicrobial use. Euro Surveill. 2012;17:4–19.CrossRef Zarb P, Coignard B, Griskeviciene J, et al. The European Centre for Disease Prevention and Control (ECDC) pilot point prevalence survey of healthcare-associated infections and antimicrobial use. Euro Surveill. 2012;17:4–19.CrossRef
10.
Zurück zum Zitat Magill SS, Hellinger W, Cohen J, et al. Prevalence of healthcare-associated infections in acute care hospitals in Jacksonville, Florida. Infect Control Hosp Epidemiol. 2012;33:283–91.CrossRef Magill SS, Hellinger W, Cohen J, et al. Prevalence of healthcare-associated infections in acute care hospitals in Jacksonville, Florida. Infect Control Hosp Epidemiol. 2012;33:283–91.CrossRef
11.
Zurück zum Zitat Yallew WW, Kumie A, Yehuala FM. Point prevalence of hospital-acquired infections in two teaching hospitals of Amhara region in Ethiopia. Drug Healthcare Patient Safety. 2016;8:71–6.CrossRef Yallew WW, Kumie A, Yehuala FM. Point prevalence of hospital-acquired infections in two teaching hospitals of Amhara region in Ethiopia. Drug Healthcare Patient Safety. 2016;8:71–6.CrossRef
12.
Zurück zum Zitat Alvarez-Lerma F, Gracia-Arnillas MP, Palomar M, et al. Urethral catheter-related urinary infection in critical patients admitted to the ICU. Descriptive data of the ENVIN-UCI study. Med Int. 2013;37:75–82. Alvarez-Lerma F, Gracia-Arnillas MP, Palomar M, et al. Urethral catheter-related urinary infection in critical patients admitted to the ICU. Descriptive data of the ENVIN-UCI study. Med Int. 2013;37:75–82.
13.
Zurück zum Zitat Pieri M, Agracheva N, Fumagalli L, et al. Infections occurring in adult patients receiving mechanical circulatory support: the two-year experience of an Italian National Referral Tertiary Care Center. Med Int. 2013;37:468–75. Pieri M, Agracheva N, Fumagalli L, et al. Infections occurring in adult patients receiving mechanical circulatory support: the two-year experience of an Italian National Referral Tertiary Care Center. Med Int. 2013;37:468–75.
14.
Zurück zum Zitat Apostolopoulou E, Raftopoulos V, Filntisis G, et al. Surveillance of device-associated infection rates and mortality in 3 Greek intensive care units. Am J Crit Care. 2013;22:12–20.CrossRef Apostolopoulou E, Raftopoulos V, Filntisis G, et al. Surveillance of device-associated infection rates and mortality in 3 Greek intensive care units. Am J Crit Care. 2013;22:12–20.CrossRef
15.
Zurück zum Zitat Tao L, Hu B, Rosenthal VD, Gao X, He L. Device-associated infection rates in 398 intensive care units in Shanghai, China: international nosocomial infection control consortium (INICC) findings. Int J Infect Dis. 2011;15:e774–80.CrossRef Tao L, Hu B, Rosenthal VD, Gao X, He L. Device-associated infection rates in 398 intensive care units in Shanghai, China: international nosocomial infection control consortium (INICC) findings. Int J Infect Dis. 2011;15:e774–80.CrossRef
16.
Zurück zum Zitat Meric M, Willke A, Caglayan C, Toker K. Intensive care unit-acquired infections: incidence, risk factors and associated mortality in a Turkish university hospital. Jpn J Infect Dis. 2005;58:297–302.PubMed Meric M, Willke A, Caglayan C, Toker K. Intensive care unit-acquired infections: incidence, risk factors and associated mortality in a Turkish university hospital. Jpn J Infect Dis. 2005;58:297–302.PubMed
17.
Zurück zum Zitat Yallew WW, Kumie A, Yehuala FM. Risk factors for hospital-acquired infections in teaching hospitals of Amhara regional state, Ethiopia: a matched-case control study. PLoS One. 2017;12:e0181145.CrossRef Yallew WW, Kumie A, Yehuala FM. Risk factors for hospital-acquired infections in teaching hospitals of Amhara regional state, Ethiopia: a matched-case control study. PLoS One. 2017;12:e0181145.CrossRef
18.
Zurück zum Zitat Brown RB, Hosmer D, Chen HC, et al. A comparison of infections in different ICUs within the same hospital. Crit Care Med. 1985;13:472–6.CrossRef Brown RB, Hosmer D, Chen HC, et al. A comparison of infections in different ICUs within the same hospital. Crit Care Med. 1985;13:472–6.CrossRef
19.
Zurück zum Zitat Spencer RC. Epidemiology of infection in ICUs. Intensive Care Med. 1994;20:S2–6.CrossRef Spencer RC. Epidemiology of infection in ICUs. Intensive Care Med. 1994;20:S2–6.CrossRef
20.
Zurück zum Zitat Eggimann P, Pittet D. Infection control in the ICU. Chest. 2001;120:2059–93.CrossRef Eggimann P, Pittet D. Infection control in the ICU. Chest. 2001;120:2059–93.CrossRef
21.
Zurück zum Zitat Richards M, Thursky K, Buising K. Epidemiology, prevalence, and sites of infections in intensive care units. Semin Respir Crit Care Med. 2003;24:3–22.CrossRef Richards M, Thursky K, Buising K. Epidemiology, prevalence, and sites of infections in intensive care units. Semin Respir Crit Care Med. 2003;24:3–22.CrossRef
22.
Zurück zum Zitat Horan TC, Andrus M, Dudeck MA. CDC/NHSN surveillance definition of health care–associated infection and criteria for specific types of infections in the acute care setting. Am J Infect Control. 2008;36:309–32.CrossRef Horan TC, Andrus M, Dudeck MA. CDC/NHSN surveillance definition of health care–associated infection and criteria for specific types of infections in the acute care setting. Am J Infect Control. 2008;36:309–32.CrossRef
23.
Zurück zum Zitat Cavalcanti M, Valencia M, Torres A. Respiratory nosocomial infections in the medical intensive care unit. Microbes Infect. 2005;7:292–301.CrossRef Cavalcanti M, Valencia M, Torres A. Respiratory nosocomial infections in the medical intensive care unit. Microbes Infect. 2005;7:292–301.CrossRef
24.
Zurück zum Zitat Corrado A, Roussos C, Ambrosino N, et al. Respiratory intermediate care units: a European survey. Eur Respir J. 2002;20:1343–50.CrossRef Corrado A, Roussos C, Ambrosino N, et al. Respiratory intermediate care units: a European survey. Eur Respir J. 2002;20:1343–50.CrossRef
25.
Zurück zum Zitat Agarwal R, Gupta D, Ray P, Aggarwal AN, Jindal SK. Epidemiology, risk factors and outcome of nosocomial infections in a respiratory intensive care unit in North India. J Inf Secur. 2006;53:98–105. Agarwal R, Gupta D, Ray P, Aggarwal AN, Jindal SK. Epidemiology, risk factors and outcome of nosocomial infections in a respiratory intensive care unit in North India. J Inf Secur. 2006;53:98–105.
26.
Zurück zum Zitat Confalonieri M, Gorini M, Ambrosino N, Mollica C, Corrado A. Respiratory intensive care units in Italy: a national census and prospective cohort study. Thorax. 2001;56:373–8.CrossRef Confalonieri M, Gorini M, Ambrosino N, Mollica C, Corrado A. Respiratory intensive care units in Italy: a national census and prospective cohort study. Thorax. 2001;56:373–8.CrossRef
27.
Zurück zum Zitat Rozaidi SW, Sukro J, Dan A. The incidence of nosocomial infection in the intensive care unit, hospital Universiti Kebangsaan Malaysia: ICU-acquired nosocomial infection surveillance program 1998-1999. Med J Malays. 2001;56:207–22. Rozaidi SW, Sukro J, Dan A. The incidence of nosocomial infection in the intensive care unit, hospital Universiti Kebangsaan Malaysia: ICU-acquired nosocomial infection surveillance program 1998-1999. Med J Malays. 2001;56:207–22.
28.
Zurück zum Zitat Rosenthal VD, Maki DG, Jamulitrat S, et al. International nosocomial infection control consortium (INICC) report, data summary for 2003-2008 issued June 2009. Am J Infect Control. 2010;38:95–104.CrossRef Rosenthal VD, Maki DG, Jamulitrat S, et al. International nosocomial infection control consortium (INICC) report, data summary for 2003-2008 issued June 2009. Am J Infect Control. 2010;38:95–104.CrossRef
29.
Zurück zum Zitat Rosenthal VD, Maki DG, Mehta A, et al. International nosocomial infection control consortium (INICC) report, data summary of 36 countries, for 2004-2009. Am J Infect Control. 2012;40:396–407.CrossRef Rosenthal VD, Maki DG, Mehta A, et al. International nosocomial infection control consortium (INICC) report, data summary of 36 countries, for 2004-2009. Am J Infect Control. 2012;40:396–407.CrossRef
30.
Zurück zum Zitat Meric M, Baykara N, Aksoy S, et al. Epidemiology and risk factors of intensive care unit-acquired infections: a prospective multicentre cohort study in a middle-income country. Singap Med J. 2012;53:260–3. Meric M, Baykara N, Aksoy S, et al. Epidemiology and risk factors of intensive care unit-acquired infections: a prospective multicentre cohort study in a middle-income country. Singap Med J. 2012;53:260–3.
Metadaten
Titel
Epidemiology and risk factors for nosocomial infection in the respiratory intensive care unit of a teaching hospital in China: A prospective surveillance during 2013 and 2015
verfasst von
Linchuan Wang
Kai-Ha Zhou
Wei Chen
Yan Yu
Si-Fang Feng
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
BMC Infectious Diseases / Ausgabe 1/2019
Elektronische ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-019-3772-2

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