1
|
Khilnani GC, Tiwari P, Mittal S, Kulkarni AP, Chaudhry D, Zirpe KG, Todi SK, Mohan A, Hegde A, Jagiasi BG, Krishna B, Rodrigues C, Govil D, Pal D, Divatia JV, Sengar M, Gupta M, Desai M, Rungta N, Prayag PS, Bhattacharya PK, Samavedam S, Dixit SB, Sharma S, Bandopadhyay S, Kola VR, Deswal V, Mehta Y, Singh YP, Myatra SN. Guidelines for Antibiotics Prescription in Critically Ill Patients. Indian J Crit Care Med 2024; 28:S104-S216. [PMID: 39234229 PMCID: PMC11369928 DOI: 10.5005/jp-journals-10071-24677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 03/20/2024] [Indexed: 09/06/2024] Open
Abstract
How to cite this article: Khilnani GC, Tiwari P, Mittal S, Kulkarni AP, Chaudhry D, Zirpe KG, et al. Guidelines for Antibiotics Prescription in Critically Ill Patients. Indian J Crit Care Med 2024;28(S2):S104-S216.
Collapse
Affiliation(s)
- Gopi C Khilnani
- Department of Pulmonary, Critical Care and Sleep Medicine, PSRI Hospital, New Delhi, India
| | - Pawan Tiwari
- Department of Pulmonary, Critical Care and Sleep Medicine, AIIMS, New Delhi, India
| | - Saurabh Mittal
- Department of Pulmonary, Critical Care and Sleep Medicine, AIIMS, New Delhi, India
| | - Atul P Kulkarni
- Division of Critical Care Medicine, Department of Anaesthesia, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Dhruva Chaudhry
- Department of Pulmonary and Critical Care Medicine, University of Health Sciences, Rohtak, Haryana, India
| | - Kapil G Zirpe
- Department of Neuro Trauma Unit, Grant Medical Foundation, Pune, Maharashtra, India
| | - Subhash K Todi
- Department of Critical Care, AMRI Hospital, Kolkata, West Bengal, India
| | - Anant Mohan
- Department of Pulmonary, Critical Care and Sleep Medicine, AIIMS, New Delhi, India
| | - Ashit Hegde
- Department of Medicine & Critical Care, P D Hinduja National Hospital, Mumbai, India
| | - Bharat G Jagiasi
- Department of Critical Care, Kokilaben Dhirubhai Ambani Hospital, Navi Mumbai, Maharashtra, India
| | - Bhuvana Krishna
- Department of Critical Care Medicine, St John's Medical College and Hospital, Bengaluru, India
| | - Camila Rodrigues
- Department of Microbiology, P D Hinduja National Hospital, Mumbai, India
| | - Deepak Govil
- Department of Critical Care and Anesthesia, Medanta – The Medicity, GuruGram, Haryana, India
| | - Divya Pal
- Department of Critical Care and Anesthesia, Medanta – The Medicity, GuruGram, Haryana, India
| | - Jigeeshu V Divatia
- Department of Anaesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Manju Sengar
- Department of Medical Oncology, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Mansi Gupta
- Department of Pulmonary Medicine, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
| | - Mukesh Desai
- Department of Immunology, Pediatric Hematology and Oncology Bai Jerbai Wadia Hospital for Children, Mumbai, Maharashtra, India
| | - Narendra Rungta
- Department of Critical Care & Anaesthesiology, Rajasthan Hospital, Jaipur, India
| | - Parikshit S Prayag
- Department of Transplant Infectious Diseases, Deenanath Mangeshkar Hospital, Pune, Maharashtra, India
| | - Pradip K Bhattacharya
- Department of Critical Care Medicine, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
| | - Srinivas Samavedam
- Department of Critical Care, Ramdev Rao Hospital, Hyderabad, Telangana, India
| | - Subhal B Dixit
- Department of Critical Care, Sanjeevan and MJM Hospital, Pune, Maharashtra, India
| | - Sudivya Sharma
- Department of Anaesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Susruta Bandopadhyay
- Department of Critical Care, AMRI Hospitals Salt Lake, Kolkata, West Bengal, India
| | - Venkat R Kola
- Department of Critical Care Medicine, Yashoda Hospitals, Hyderabad, Telangana, India
| | - Vikas Deswal
- Consultant, Infectious Diseases, Medanta - The Medicity, Gurugram, Haryana, India
| | - Yatin Mehta
- Department of Critical Care and Anesthesia, Medanta – The Medicity, GuruGram, Haryana, India
| | - Yogendra P Singh
- Department of Critical Care, Max Super Speciality Hospital, Patparganj, New Delhi, India
| | - Sheila N Myatra
- Department of Anaesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| |
Collapse
|
2
|
Puraswani M, Srivastav S, Aggrawal R, Soni KD, Malhotra R, Kumar S, Sagar S, Gupta A, Mathur P. Eight year study on evolution of antimicrobial resistance in an antimicrobial-naïve trauma population. Indian J Med Microbiol 2023; 44:100355. [PMID: 37356848 DOI: 10.1016/j.ijmmb.2023.01.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 12/26/2022] [Accepted: 01/23/2023] [Indexed: 06/27/2023]
Abstract
PURPOSE Healthcare-associated infections (HAIs) are a leading cause of morbidity and mortality in low- and middle-income countries (LMICs). Moreover, the burden of HAIs is higher in ICU admitted patients. Long term studies are beneficial to evolution pattern of AMR. Therefore, this study aimed to evaluate the evolution of AMR pattern over the years in one of the ICUs of a level 1 Trauma Center. This will enable us to modify the prescribing practices according to emerging resistance patterns. METHODS This study was conducted at one of the ICU of level-1 trauma center of tertiary care hospital. The study reports the findings of the AMR surveillance from January 2012 to December 2019. Standard definitions were used to define HAI (www.hais.com). The clinical records of the patients were maintained using ASHAIN indigenous software. Outbreak analysis was done by WHONET. RESULTS From 1st January 2012-31st December 2019, 4305 isolates were obtained from 1969 patients. Most frequent occurring organism were gram negatives among which A. baumannii was common followed by K. pneumoniae, and P. aeruginosa. Retrospective analysis showed 7 outbreaks/clusters during the study period and all the outbreaks occurred from October to December in each year. The increasing trend of AMR pattern emphasizes to strengthen infection control practices and sustained AMR surveillance.
Collapse
Affiliation(s)
- Mamta Puraswani
- Department of Laboratory Medicine, JPNA Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
| | - Sharad Srivastav
- Department of Laboratory Medicine, JPNA Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
| | - Richa Aggrawal
- Department of Critical and Intensive Care, Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
| | - Kapil Dev Soni
- Department of Critical and Intensive Care, Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
| | - Rajesh Malhotra
- Department of Orthopaedics, Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
| | - Subodh Kumar
- Division of Trauma Surgery and Critical Care, Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
| | - Sushma Sagar
- Division of Trauma Surgery and Critical Care, Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
| | - Amit Gupta
- Division of Trauma Surgery and Critical Care, Jai Prakash Narayan Apex Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
| | - Purva Mathur
- Department of Laboratory Medicine, JPNA Trauma Centre, All India Institute of Medical Sciences, New Delhi, India.
| |
Collapse
|
3
|
Wu W, Wang W, Yuan Y, Lin L, Tan Y, Yang J, Dai L, Wang Y. Knowledge, attitude and practice concerning healthcare-associated infections among healthcare workers in Wuhan, China: cross-sectional study. BMJ Open 2021; 11:e042333. [PMID: 33402407 PMCID: PMC7786794 DOI: 10.1136/bmjopen-2020-042333] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 11/15/2020] [Accepted: 11/20/2020] [Indexed: 12/05/2022] Open
Abstract
OBJECTIVES To assess the knowledge, attitude and practice (KAP) concerning healthcare-associated infections (HAIs) among healthcare givers and to identify the factors influencing KAP. DESIGN This was a hospital-based, cross-sectional study. SETTING Two public hospitals in Wuhan, central China. PARTICIPANTS Participants were recruited among healthcare workers (HCWs) of one general hospital and one children's hospital in Wuhan city between 1 June and 30 September 2019. PRIMARY AND SECONDARY OUTCOME MEASURES The outcomes were KAPs concerning HAIs. RESULTS Data from 455 HCWs were included in the final data analysis. The mean scores of KAP and total KAP were 15.67±3.32, 25.00±2.75, 43.44±5.15 and 84.76±6.72, respectively. The following factors were significantly associated with the total KAP score concerning HAIs, explaining 61% of the variance (p<0.001): gender (β=2.36, 95% CI 1.11 to 4.40), age (β=6.65, 95% CI 5.07 to 7.74), position (β=7.02, 95% CI 3.88 to 8.45), type of employment (β=-1.08, 95% CI -2.08 to -0.07), with HAI education within last year (β=-2.98, 95% CI -4.23 to -1.72), with invasive operation authority (β=-4.22, 95% CI -5.46 to -2.99), antibacterial drug training (β=-4.38, 95% CI -5.45 to -3.31) and with antibacterial drug training and clinical consultation (β=-4.35, 95% CI -5.38 to -3.32). CONCLUSION The controllable factors identified in this study can be used by hospital managers to implement measures that improve KAP among HCWs. Moreover, these measures should be customised, based on uncontrollable factors to suit the specific characteristics of medical staff and to improve KAP. Training programmes should be designed for medical workers to increase their awareness of HAIs and to foster positive attitudes and practices.
Collapse
Affiliation(s)
- Wenwen Wu
- School of Public Health and Management, Hubei University of Medicine, Shiyan, Hubei, China
| | - Wenru Wang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yufeng Yuan
- Department of Nosocomial Infection Management, Wuhan University Zhongnan Hospital, Wuhan, Hubei, China
| | - Likai Lin
- Institute of Hospital Management, Wuhan University, Wuhan, Hubei, China
| | - Yibin Tan
- Department of Nosocomial Infection Management, Wuhan University Zhongnan Hospital, Wuhan, Hubei, China
| | - Jinru Yang
- School of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei, China
| | - Li Dai
- Department of Cardiovascular Medicine, Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Ying Wang
- Department of Nosocomial Infection Management, Wuhan University Zhongnan Hospital, Wuhan, Hubei, China
| |
Collapse
|
4
|
Saleem Z, Godman B, Hassali MA, Hashmi FK, Azhar F, Rehman IU. Point prevalence surveys of health-care-associated infections: a systematic review. Pathog Glob Health 2019; 113:191-205. [PMID: 31215326 PMCID: PMC6758614 DOI: 10.1080/20477724.2019.1632070] [Citation(s) in RCA: 84] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Health-care-associated infections (HAIs) are considered a serious public health issues that contribute substantially to the global burden of mortality and morbidity with respect to infectious diseases. The aim is to assess the burden of health-care-associated infections by collation of available data from published point prevalence surveys (PPS) on HAIs to give future guidance. Study protocol and methodology were designed according to preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines. Published research papers that conducted a point prevalence survey of HAIs in hospital settings by following the structured survey methodology employed by European Centre of Disease Prevention and Control (ECDC) were included. Of 1212 articles, 67 studies were included in the final analysis conducted across different countries. Overall, 35 studies were conducted in Europe, 21 in Asia, 9 in America, and 2 in Africa. The highest prevalence of HAIs was recorded in a study conducted in adult ICU settings of 75 regions of Europe (51.3%). The majority of the studies included HAI data on urinary tract infections, respiratory tract infections, and bloodstream infections. Klebsiella pneumonia, Pseudomonas aeruginosa and E. coli were the most frequent pathogens responsible for HAIs. PPS is an useful tool to quantify HAIs and provides a robust baseline data for policymakers. However, a standardize surveillance method is required. In order to minimize the burden of HAIs, infection prevention and control programs and antibiotic stewardship may be effective strategies to minimize the risk of HAIs.
Collapse
Affiliation(s)
- Zikria Saleem
- School of Pharmaceutical Sciences, Universiti Sains Malaysia, George Town, Malaysia
- Rashid Latif College of Pharmacy, Lahore, Pakistan
| | - Brian Godman
- Department of Clinical Pharmacology, Karolinska Institute, Stockholm, Sweden
- Strathclyde Institute of Pharmacy and Biomedical Sciences, Strathclyde University, Glasgow, UK
- Health Economics Centre, University of Liverpool Management School, Liverpool, UK
| | - Mohamed Azmi Hassali
- School of Pharmaceutical Sciences, Universiti Sains Malaysia, George Town, Malaysia
| | | | - Faiza Azhar
- University College of Pharmacy, University of the Punjab, Lahore, Pakistan
| | - Inayat Ur Rehman
- School of Pharmacy, Monash University Malaysia, Kuala Selangor, Malaysia
- Department of Pharmacy, Abdul Wali Khan University Mardan, Mardan, Pakistan
| |
Collapse
|
5
|
An 8-year point-prevalence surveillance of healthcare-associated infections and antimicrobial use in a tertiary care teaching hospital in China. Epidemiol Infect 2018; 147:e31. [PMID: 30355372 PMCID: PMC6518586 DOI: 10.1017/s0950268818002856] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Healthcare-associated infections (HAIs) are a major worldwide public-health problem, but less data are available on the long-term trends of HAIs and antimicrobial use in Eastern China. This study describes the prevalence and long-term trends of HAIs and antimicrobial use in a tertiary care teaching hospital in Hefei, Anhui, China from 2010 to 2017 based on annual point-prevalence surveys. A total of 12 505 inpatients were included; 600 HAIs were recorded in 533 patients, with an overall prevalence of 4.26% and a frequency of 4.80%. No evidence was found for an increasing or decreasing trend in prevalence of HAI over 8 years (trend χ2 = 2.15, P = 0.143). However, significant differences in prevalence of HAI were evident between the surveys (χ2 = 21.14, P < 0.001). The intensive care unit had the highest frequency of HAIs (24.36%) and respiratory tract infections accounted for 62.50% of all cases; Escherichia coli was the most common pathogen (16.67%). A 44.13% prevalence of antimicrobial use with a gradually decreasing trend over time was recorded. More attention should be paid to potential high-risk clinical departments and HAI types with further enhancement of rational antimicrobial use.
Collapse
|
6
|
Chen Y, Song B, Shan X, Qin Y, Wang L, Wang H, Lu Z, Liu L, Yin D, Han X, Zhao J, Tian S, Chen F, Su X, Huang L, Li Q, Grundmann H, Zhang H, Han L. Assessing antibiotic therapy effectiveness against the major bacterial pathogens in a hospital using an integrated index. Future Microbiol 2017; 12:853-866. [PMID: 28699775 DOI: 10.2217/fmb-2017-0025] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
AIM To assess the effectiveness of antibiotic therapy against five indicator bacteria in a Chinese hospital using an index-based approach. METHODS The study population comprises 1031 patients who had one clinically significant bacterial isolate in 2008, 2010 and 2013. Drug resistance index (DRI) based on pathogens was calculated. RESULTS The adaptive DRIs for Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphylococcus aureus decreased, while both adaptive and fixed DRIs for Acinetobacter spp. increased from 2008 to 2013. The adaptive DRIs for Escherichia coli increased from 2008 to 2013, while the fixed DRIs exhibited a decreasing trend. CONCLUSION DRI could be used to demonstrate the changes of antimicrobial resistance and prescribing over time as a result of evolutionary processes and governmental regulatory interference.
Collapse
Affiliation(s)
- Yong Chen
- Center for Hospital Infection Control, Institute of Disease Control & Prevention, Academy of Military Medical Sciences, Beijing 100071, China
| | - Boqiang Song
- School of Earth & Space Sciences (SESS), Peking University, Beijing 100871, China.,Geospatial Big Data Team, Beijing Advanced Innovation Center for Future Internet Technology, Beijing 100124, China
| | - Xue Shan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 1000191, China
| | - Yanhong Qin
- Department of Respiratory and Critical Care Diseases, Affiliated Hospital, Academy of Military Medical Sciences, Beijing 100071, China
| | - Liang Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 1000191, China
| | - Hongyuan Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 1000191, China
| | - Zhongyi Lu
- Center for Hospital Infection Control, Institute of Disease Control & Prevention, Academy of Military Medical Sciences, Beijing 100071, China
| | - Lin Liu
- Center for Hospital Infection Control, Institute of Disease Control & Prevention, Academy of Military Medical Sciences, Beijing 100071, China
| | - Danping Yin
- Department of Hospital Infection Control, General Hospital of Ji'nan Military Command, Ji'nan 250031, China
| | - Xuelin Han
- Center for Hospital Infection Control, Institute of Disease Control & Prevention, Academy of Military Medical Sciences, Beijing 100071, China
| | - Jingya Zhao
- Center for Hospital Infection Control, Institute of Disease Control & Prevention, Academy of Military Medical Sciences, Beijing 100071, China
| | - Shuguang Tian
- Center for Hospital Infection Control, Institute of Disease Control & Prevention, Academy of Military Medical Sciences, Beijing 100071, China
| | - Fangyan Chen
- Center for Hospital Infection Control, Institute of Disease Control & Prevention, Academy of Military Medical Sciences, Beijing 100071, China
| | - Xueting Su
- Center for Hospital Infection Control, Institute of Disease Control & Prevention, Academy of Military Medical Sciences, Beijing 100071, China
| | - Liuyu Huang
- Center for Hospital Infection Control, Institute of Disease Control & Prevention, Academy of Military Medical Sciences, Beijing 100071, China
| | - Qi Li
- School of Earth & Space Sciences (SESS), Peking University, Beijing 100871, China
| | - Hajo Grundmann
- Department of Medical Microbiology, University Medical Center Groningen, Rijksuniversteit Groningen, Groningen 9700, The Netherlands
| | - Hong Zhang
- Department of Respiratory and Critical Care Diseases, Affiliated Hospital, Academy of Military Medical Sciences, Beijing 100071, China
| | - Li Han
- Center for Hospital Infection Control, Institute of Disease Control & Prevention, Academy of Military Medical Sciences, Beijing 100071, China
| |
Collapse
|
7
|
Wang J, Hu J, Harbarth S, Pittet D, Zhou M, Zingg W. Burden of healthcare-associated infections in China: results of the 2015 point prevalence survey in Dong Guan City. J Hosp Infect 2017; 96:132-138. [PMID: 28325579 DOI: 10.1016/j.jhin.2017.02.014] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Accepted: 02/12/2017] [Indexed: 11/27/2022]
Abstract
BACKGROUND Healthcare-associated infections (HCAIs) are a major health threat. There are few data about HCAI and antibiotic use in the People's Republic of China in the English literature. AIM To describe and discuss the prevalence of HCAI and antibiotic use from the 2015 point prevalence survey (PPS) in Dong Guan City. METHODS In 2015, the Dong Guan (City) Nosocomial Infection Control and Quality Improvement Centre organized its yearly PPS in the secondary and tertiary care hospitals of Dong Guan City. The survey was performed on one single calendar day. FINDINGS Thirty-seven secondary and 14 tertiary care hospitals assessed 9679 and 11,641 patients, respectively. A total of 616 patients had 681 HCAIs. The pooled HCAI prevalence (95% confidence interval) in secondary care, tertiary care, and all hospitals together was 2.3% (2.0-2.6), 3.4% (3.0-3.7), and 2.9% (2.6-3.1), respectively. Lower respiratory tract infection (LRTI), urinary tract infection (UTI), surgical site infection (SSI), and bloodstream infection together accounted for 73.1% of HCAIs. LRTI was the most frequently diagnosed HCAI (35.5%), followed by UTI (17.0%), and SSI (15.1%). Gram-negative bacteria were most frequently isolated (68.1%), followed by Gram-positive bacteria (19.3%), and fungi (10.9%). Escherichia coli was the most frequent pathogen (14.8%), and Acinetobacter baumannii accounted for 10.9%. A total of 34.8% of the patients received one or more antimicrobials. CONCLUSION The pooled prevalence is in the range of other recent Chinese studies, but lower compared to previous reports in Europe, and the USA. The use of antimicrobials for therapeutic purposes is similar to that in Europe, but lower than previous Chinese reports, and lower than in the USA.
Collapse
Affiliation(s)
- J Wang
- Infection Control Program and WHO Collaborating Centre on Patient Safety, University of Geneva Hospitals and Faculty of Medicine, Geneva, Switzerland; Department of Infection Control, Dong Guan Hospital of Traditional Chinese Medicine, Dong Guan City, Guang Dong Province, China; Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - J Hu
- Department Infection Control, Dong Guan Tung Wah Hospital, Dong Guan City, Guang Dong Province, China; Dongguan Nosocomial Infection Control and Quality Improvement Centre, Dong Guan City, Guang Dong Province, China
| | - S Harbarth
- Infection Control Program and WHO Collaborating Centre on Patient Safety, University of Geneva Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - D Pittet
- Infection Control Program and WHO Collaborating Centre on Patient Safety, University of Geneva Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - M Zhou
- Department Infection Control, Dong Guan Tung Wah Hospital, Dong Guan City, Guang Dong Province, China; Dongguan Nosocomial Infection Control and Quality Improvement Centre, Dong Guan City, Guang Dong Province, China
| | - W Zingg
- Infection Control Program and WHO Collaborating Centre on Patient Safety, University of Geneva Hospitals and Faculty of Medicine, Geneva, Switzerland; Imperial College London, London, UK.
| |
Collapse
|
8
|
Morioka H, Hirabayashi A, Iguchi M, Tomita Y, Kato D, Sato N, Hyodo M, Kawamura N, Sadomoto T, Ichikawa K, Inagaki T, Kato Y, Kouyama Y, Ito Y, Yagi T. The first point prevalence survey of health care-associated infection and antimicrobial use in a Japanese university hospital: A pilot study. Am J Infect Control 2016; 44:e119-23. [PMID: 27372390 DOI: 10.1016/j.ajic.2016.03.045] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Revised: 03/13/2016] [Accepted: 03/14/2016] [Indexed: 12/20/2022]
Abstract
BACKGROUND Point prevalence surveys (PPSs) in Japanese hospitals have not yet been reported. The purpose of this pilot PPS study was to evaluate the epidemiology of health care-associated infections (HAIs) and antimicrobial use in a Japanese tertiary university hospital. METHODS A 1-day, cross-sectional PPS was performed at a Japanese university hospital. Data on demographics, active HAIs, and antimicrobial use of all inpatients were collected using a data collection form. RESULTS Of 841 patients, 85 (10.1%) had 90 active HAIs, and 308 patients (36.6%) were administered 494 antimicrobials. Among the 90 HAIs and 58 pathogens, the most frequent infection and isolated pathogen were pneumonia (20.0%) and Enterobacteriaceae (27.6%), respectively. Of the 118 antimicrobials used for treatment of HAIs, carbapenems were the most frequently administered category of antimicrobials (22.9%). In regard to antimicrobials for surgical prophylaxis, 37 of 119 (31.1%) were administered to patients on postoperative day 3 or later, and 48 of 119 (40.3%) were administered orally. CONCLUSIONS The incidence of HAIs is higher than in other developed countries. The social and medical situation in Japan may affect patient demographics, active HAIs, and antimicrobial use. Multicenter PPSs are necessary to uncover the real epidemiology of HAIs and antimicrobial use in Japan.
Collapse
Affiliation(s)
- Hiroshi Morioka
- Department of Infectious Diseases, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Aki Hirabayashi
- Department of Infectious Diseases, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Mitsutaka Iguchi
- Department of Infectious Diseases, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Yuka Tomita
- Department of Infectious Diseases, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Daizo Kato
- Department of Infectious Diseases, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Naokazu Sato
- Department of Nephrology, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Miyuki Hyodo
- Department of Nursing, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Naoko Kawamura
- Department of Nursing, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Takuya Sadomoto
- Department of Nursing, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Kazuya Ichikawa
- Department of Hospital Pharmacy, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Takayuki Inagaki
- Department of Hospital Pharmacy, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Yoshiaki Kato
- Department of Hospital Pharmacy, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Yuichi Kouyama
- Department of Hospital Pharmacy, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Yoshinori Ito
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Tetsuya Yagi
- Department of Infectious Diseases, Nagoya University Hospital, Nagoya, Aichi, Japan.
| |
Collapse
|
9
|
Zhang Y, Zhang J, Wei D, Yang Z, Wang Y, Yao Z. Annual surveys for point-prevalence of healthcare-associated infection in a tertiary hospital in Beijing, China, 2012-2014. BMC Infect Dis 2016; 16:161. [PMID: 27091177 PMCID: PMC4835875 DOI: 10.1186/s12879-016-1504-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2015] [Accepted: 04/09/2016] [Indexed: 01/12/2023] Open
Abstract
Background This study aimed to investigate the prevalence of healthcare-associated infection (HAI) in the China-Japan Friendship Hospital, a tertiary level hospital in Beijing, China. Methods We defined HAI using the criteria established by the Ministry of Health of the People’s Republic of China. Three cross-sectional surveys were conducted from 2012 to 2014. Inpatients who had been hospitalized for at least 48 h were surveyed. Information on HAI prevalence, isolated pathogens and use of antibiotics were collected. Logistic regression models were used to assess the associations between HAI and potential risk factors. Results During three cross-sectional surveys, a total number of 4,029 patients were included (1,233 patients in 2012, 1,220 patients in 2013 and 1,576 patients in 2014). The overall prevalence of patients with HAI was 3.6 % (95 % confidence interval (CI) 3.1 %–4.2 %). Respiratory tract infections were the most common type (64.7 %) of HAIs, followed by urinary tract infections (12.6 %) and bloodstream infections (5.4 %). HAI occurrences were significantly associated with male sex (odds ratio (OR) = 2.25, 95 % CI 1.53-3.32), age over 85 years (OR = 4.74, 95 % CI 2.54–8.83), hospitalization in the intensive care units (ICUs) (OR = 2.42, 95 % CI 1.31–4.49), indwelling urinary catheter (OR = 4.21, 95 % CI 2.46–7.20) and mechanical ventilation (OR = 2.31, 95 % CI 1.30–4.09). Gram-negative bacteria were found to be the most isolated pathogens (67.1 %), with gram-positive bacteria and fungi accounted for 20.3 % and 10.5 %, respectively. Antibiotics were administered to 34.3 % of the included patients over the study period. Conclusions The overall HAI prevalence in our hospital is similar to previous studies that were conducted in other areas of China, and the respiratory tract infection should be the priority in HAI reduction control within China. We should focus HAI reduction efforts on patients with advanced age, hospitalization in the ICU and indwelling devices.
Collapse
Affiliation(s)
- Yaowen Zhang
- Infection Management and Disease Prevention Department, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Jing Zhang
- Infection Management and Disease Prevention Department, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Dong Wei
- Infection Management and Disease Prevention Department, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Zhirong Yang
- Center of Post-marketing Safety Evaluation, Peking University Health Science Center, Beijing, 100083, China.,Department of Epidemiology and Bio-statistics, Peking University Health Science Center, Beijing, 100083, China
| | - Yanyan Wang
- Department of Medical Records and Statistics, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Zhiyuan Yao
- Infection Management and Disease Prevention Department, China-Japan Friendship Hospital, 2 East Yinghuayuan Street, Chaoyang District, Beijing, 100029, China.
| |
Collapse
|
10
|
Taylor G, Gravel D, Saxinger L, Bush K, Simmonds K, Matlow A, Embree J, Le Saux N, Johnston L, Suh KN, Embil J, Henderson E, John M, Roth V, Wong A, the Canadian Nosocomial Infection Surveillance Program. Prevalence of antimicrobial use in a network of Canadian hospitals in 2002 and 2009. THE CANADIAN JOURNAL OF INFECTIOUS DISEASES & MEDICAL MICROBIOLOGY = JOURNAL CANADIEN DES MALADIES INFECTIEUSES ET DE LA MICROBIOLOGIE MEDICALE 2015; 26:85-9. [PMID: 26015790 PMCID: PMC4419819 DOI: 10.1155/2015/468987] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Increasing antimicrobial resistance has been identified as an important global health threat. Antimicrobial use is a major driver of resistance, especially in the hospital sector. Understanding the extent and type of antimicrobial use in Canadian hospitals will aid in developing national antimicrobial stewardship priorities. METHODS In 2002 and 2009, as part of one-day prevalence surveys to quantify hospital-acquired infections in Canadian Nosocomial Infection Surveillance Program hospitals, data were collected on the use of systemic antimicrobial agents in all patients in participating hospitals. Specific agents in use (other than antiviral and antiparasitic agents) on the survey day and patient demographic information were collected. RESULTS In 2002, 2460 of 6747 patients (36.5%) in 28 hospitals were receiving antimicrobial therapy. In 2009, 3989 of 9953 (40.1%) patients in 44 hospitals were receiving antimicrobial therapy (P<0.001). Significantly increased use was observed in central Canada (37.4% to 40.8%) and western Canada (36.9% to 41.1%) but not in eastern Canada (32.9% to 34.1%). In 2009, antimicrobial use was most common on solid organ transplant units (71.0% of patients), intensive care units (68.3%) and hematology/oncology units (65.9%). Compared with 2002, there was a significant decrease in use of first-and second-generation cephalosporins, and significant increases in use of carbapenems, antifungal agents and vancomycin in 2009. Piperacillin-tazobactam, as a proportion of all penicillins, increased from 20% in 2002 to 42.8% in 2009 (P<0.001). There was a significant increase in simultaneous use of >1 agent, from 12.0% of patients in 2002 to 37.7% in 2009. CONCLUSION From 2002 to 2009, the prevalence of antimicrobial agent use in Canadian Nosocomial Infection Surveillance Program hospitals significantly increased; additionally, increased use of broad-spectrum agents and a marked increase in simultaneous use of multiple agents were observed.
Collapse
Affiliation(s)
| | - Denise Gravel
- Centre for Communicable Diseases and Infection Control, Public Health Agency of Canada, Ottawa, Ontario
| | | | | | | | - Anne Matlow
- The Hospital for Sick Children, Toronto, Ontario
| | | | - Nicole Le Saux
- The Children’s Hospital of Eastern Ontario, Ottawa, Ontario
| | - Lynn Johnston
- Queen Elizabeth II Health Sciences Centre, Halifax, Nova Scotia
| | | | - John Embil
- Health Sciences Centre, Winnipeg, Manitoba
| | | | | | | | - Alice Wong
- Royal University Hospital, Saskatoon, Saskatchewan
| | | |
Collapse
|