Device-associated infection rates for non-intensive care unit patients

被引:54
作者
Vonberg, Ralf-Peter
Behnke, M.
Geffers, C.
Sohr, D.
Rueden, H.
Dettenkofer, M.
Gastmeier, P.
机构
[1] Hannover Med Sch, Hosp Epidemiol, Inst Med Microbiol, Div Hosp Epidemiol & Infect Control, D-30625 Hannover, Germany
[2] Hannover Med Sch, Hosp Epidemiol, Inst Med Microbiol, German Natl Reference Ctr Surveillance Nosocomial, D-3000 Hannover, Germany
[3] Humboldt Univ, Berlin, Germany
[4] Univ Hosp, Univ Med Ctr, Hosp Epidemiol, Inst Environm Med, Freiburg, Germany
关键词
D O I
10.1086/503339
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background. Reference data from intensive care units (ICUs) are not applicable to non-ICU patients because of the differences in device use rates, length of stay, and severity of underlying diseases among the patient populations. In contrast to the huge amount of data available for ICU patients, appropriate surveillance data for non-ICU patients have been missing in Germany. Objective. To establish a new module ('' DEVICE-KISS '') of the German Nosocomial Infection Surveillance System for generating stratified reference data for non-ICU wards. Setting. Non-ICU patients from 42 German hospitals. Methods. Monthly patient-days, device-days and nosocomial infections (NIs) ( using Centers for Disease Control and Prevention definitions) were counted. Device use rates were calculated, and NI rates were stratified by different medical specialities. Results. From July 2002 through June 2004, among the 77 wards, there were a total of 536,955 patient-days and 74,188 device- days ( for CVC-associated primary bloodstream infections, there were 181,401 patient-days and 8,317 central vascular catheter [CVC]-days in 29 wards; for urinary catheter - associated urinary tract infections, there were 445,536 patient-days and 65,871 urinary catheter-days in 65 wards) and 483 NIs ( 36 bloodstream infections and 447 urinary tract infections). The mean device use rates were 4.6 device- days per 100 patient- days for CVCs (29 wards) and 14.8 device- days per 100 patient- days for urinary catheters (65 wards), respectively. Mean deviceassociated NI rates were 4.3 infections per 1,000 CVC- days for CVC-associated bloodstream infections and 6.8 infections per 1,000 urinary catheter - days for catheter-associated urinary tract infections. Conclusions DEVICE-KISS allows non-ICUs to recognize an outlier position with regard to NIs by providing well-founded reference data for non-ICU patients.
引用
收藏
页码:357 / 361
页数:5
相关论文
共 50 条
[31]   Machine learning for predicting device-associated infection and 30-day survival outcomes after invasive device procedure in intensive care unit patients [J].
Su, Xiang ;
Sun, Ling ;
Sun, Xiaogang ;
Zhao, Quanguo .
SCIENTIFIC REPORTS, 2024, 14 (01)
[32]   OUTCOMES OF 467 PATIENTS ADMITTED TO A NON-INTENSIVE CARE TELEMETRY UNIT [J].
ESTRADA, CA ;
PRASAD, NK ;
ROSMAN, HS ;
YOUNG, MJ .
CIRCULATION, 1993, 88 (04) :145-145
[33]   Device-associated infection rates and mortality in intensive care units of Peruvian hospitals: findings of the International Nosocomial Infection Control Consortium [J].
Cuellar, Luis E. ;
Fernandez-Maldonado, Eduardo ;
Rosenthal, Victor D. ;
Castaneda-Sabogal, Alex ;
Rosales, Rosa ;
Mayorga-Espichan, Manuel J. ;
Camacho-Cosavalente, Luis A. ;
Castillo-Bravo, Luis .
REVISTA PANAMERICANA DE SALUD PUBLICA-PAN AMERICAN JOURNAL OF PUBLIC HEALTH, 2008, 24 (01) :16-24
[34]   ROLE OF TELEMETRY MONITORING IN THE NON-INTENSIVE CARE UNIT [J].
ESTRADA, CA ;
ROSMAN, HS ;
PRASAD, NK ;
BATTILANA, G ;
ALEXANDER, M ;
HELD, AC ;
YOUNG, MJ .
AMERICAN JOURNAL OF CARDIOLOGY, 1995, 76 (12) :960-965
[35]   COMPARISON OF PSYCHIATRIC SYMPTOMS IN PATIENTS WITH COVID-19 HOSPITALIZED IN INTENSIVE CARE UNIT AND NON-INTENSIVE CARE UNIT [J].
Kapici, Yasar ;
Tekin, Atilla .
PSYCHIATRIA DANUBINA, 2022, 34 (01) :157-163
[36]   Evaluation of Non-intensive Care Unit-Acquired Sepsis and Septic Shock Patients in Intensive Care Unit Outcomes [J].
Sipahioglu, Hilal ;
Onuk, Sevda ;
Dirik, Hasan ;
Bulut, Kadir ;
Sungur, Murat ;
Gundogan, Kursat .
ERCIYES MEDICAL JOURNAL, 2022, 44 (02) :161-166
[37]   Device-associated nosocomial infection in the intensive care units of a tertiary care hospital in northern India [J].
Datta, P. ;
Rani, H. ;
Chauhan, R. ;
Gombar, S. ;
Chander, J. .
JOURNAL OF HOSPITAL INFECTION, 2010, 76 (02) :184-185
[38]   Device-associated nosocomial infection surveillance in the neurosurgery intensive care unit of the Inonu University Turgut Ozal Medical Center [J].
Yetkin, Funda ;
Ersoy, Yasemin ;
Karaman, Perihan ;
Kayabas, Uner ;
Bayindir, Yaflar ;
Kocak, Ayhan .
KLIMIK JOURNAL, 2008, 21 (02) :54-60
[39]   Device-associated infection rates in 398 intensive care units in Shanghai, China: International Nosocomial Infection Control Consortium (INICC) findings [J].
Tao, Lili ;
Hu, Bijie ;
Rosenthal, Victor D. ;
Gao, Xiaodong ;
He, Lixian .
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2011, 15 (11) :E774-E780
[40]   Impact of a comprehensive care bundle educational program on device-associated infections in an emergency intensive care unit [J].
Negm, Essamedin M. ;
Othman, Howaydah A. ;
Tawfeek, Mohamed M. ;
Zalat, Marwa M. ;
El-Sokkary, Rehab H. ;
Alanwer, Khaled M. .
GERMS, 2021, 11 (03) :381-390