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Li S, Lin J, Tao S, Guo L, Huang W, Li J, Du C, Wang Z, Liu L, Chen Y, Qiao F. Multi-Model Strategies for Prevention of Infection Caused by Certain Multi-Drug Resistant Organisms in A Rehabilitation Unit: A Semi-Experimental Study. Antibiotics (Basel) 2023; 12:1199. [PMID: 37508295 PMCID: PMC10376457 DOI: 10.3390/antibiotics12071199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 07/12/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
Objective: To assess the effectiveness of multi-model strategies on healthcare-associated infections (HAIs) caused by multi-drug resistant organisms (MDROs) in rehabilitation units. Methods: A semi-experimental study was conducted in a rehabilitation unit with 181 beds from January 2021 to December 2022 in a teaching hospital with 4300 beds in China. In 2021, many basic prevention and control measures were conducted routinely. Based on the basic measures, strengthening multi-model strategies for the prevention and control of MDROs was pursued year-round since 1 January 2022. Results: A total of 6206 patients were enrolled during the study period. The incidence density of HAIs caused by MDROs decreased from 1.22 (95% CI, 0.96~1.54) cases/1000 patient-days in the pre-intervention period to 0.70 (95% CI, 0.50~0.95) cases/1000 patient-days (p = 0.004). Similarly, the incidence of HAIs in the intervention period was 50.85% lower than that in the pre-intervention period (2.02 (95% CI, 1.50~2.72) vs. 4.11 (95% CI, 3.45-4.85) cases/100 patients, p < 0.001). The rate of MDROs isolated from the environment decreased by 30.00%, although the difference was not statistically significant (p = 0.259). Conclusion: Multi-model strategies can reduce the incidence of HAIs and HAIs caused by certain MDROs in the rehabilitation unit.
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Affiliation(s)
- Shiyu Li
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu 610041, China
- Department of Infection Control, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Ji Lin
- Department of Infection Control, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Siyuan Tao
- Department of Infection Control, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Linwen Guo
- Department of Infection Control, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Wenzhi Huang
- Department of Infection Control, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Jingwen Li
- Department of Infection Control, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Chunping Du
- Department of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Zhiting Wang
- Department of Operation Management, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Liwen Liu
- Department of Equipment and Materials, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yi Chen
- Department of Infection Control, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Fu Qiao
- Department of Infection Control, West China Hospital, Sichuan University, Chengdu 610041, China
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Socioeconomic burden of pneumonia due to multidrug-resistant Acinetobacter baumannii and Pseudomonas aeruginosa in Korea. Sci Rep 2022; 12:13934. [PMID: 35978016 PMCID: PMC9385716 DOI: 10.1038/s41598-022-18189-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 08/08/2022] [Indexed: 11/08/2022] Open
Abstract
We aimed to estimate the socioeconomic burden of pneumonia due to multidrug-resistant Acinetobacter baumannii (MRAB) and Pseudomonas aeruginosa (MRPA). We prospectively searched for MRAB and MRPA pneumonia cases and matched them with susceptible-organism pneumonia and non-infected patients from 10 hospitals. The matching criteria were: same principal diagnosis, same surgery or intervention during hospitalisation, age, sex, and admission date within 60 days. We calculated the economic burden by using the difference in hospital costs, the difference in caregiver costs, and the sum of productivity loss from an unexpected death. We identified 108 MRAB pneumonia [MRAB-P] and 28 MRPA pneumonia [MRPA-P] cases. The estimated number of annual MRAB-P and MRPA-P cases in South Korea were 1309–2483 and 339–644, with 485–920 and 133–253 deaths, respectively. The annual socioeconomic burden of MRAB-P and MRPA-P in South Korea was $64,549,723–122,533,585 and $15,241,883–28,994,008, respectively. The results revealed that MRAB-P and MRPA-P occurred in 1648–3127 patients, resulted in 618–1173 deaths, and caused a nationwide socioeconomic burden of $79,791,606–151,527,593. Multidrug-resistant organisms (MDRO) impose a great clinical and economic burden at a national level. Therefore, controlling the spread of MDRO will be an effective measure to reduce this burden.
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The Resistance Patterns in E. coli Isolates among Apparently Healthy Adults and Local Drivers of Antimicrobial Resistance: A Mixed-Methods Study in a Suburban Area of Nepal. Trop Med Infect Dis 2022; 7:tropicalmed7070133. [PMID: 35878145 PMCID: PMC9324341 DOI: 10.3390/tropicalmed7070133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 06/29/2022] [Accepted: 07/07/2022] [Indexed: 02/05/2023] Open
Abstract
Evidence-based decision-making to combat antimicrobial resistance (AMR) mandates a well-built community-based surveillance system for assessing resistance patterns among commensals and pathogenic organisms. As there is no such surveillance system in Nepal, we attempted to describe the antimicrobial resistance pattern in E. coli isolated from the fecal samples of apparently healthy individuals in Dhulikhel municipality and also explored the local drivers of AMR. We used a mixed-method design with a cross-sectional quantitative component and a descriptive qualitative component, with focus group discussion and key informant interviews as the data collection method. Fecal samples were collected from 424 individuals randomly selected for the study. E. coli was isolated from 85.9% of human fecal samples, of which 14% were resistant to ≥3 class of antimicrobials (multidrug resistant). Of the 368 isolates, resistance to ampicillin (40.0%), tetracycline (20.7%) and cefotaxime (15.5%) were most prevalent. The major drivers of AMR were: lack of awareness of AMR, weak regulations on sales of antimicrobials, poor adherence to prescribed medications, and incomplete dosage due to financial constraints. These findings indicate the need for strict implementation of a national drug act to limit the over-the-counter sales of antimicrobials. Additionally, awareness campaigns with a multimedia mix are essential for educating people on AMR.
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Extensively drug-resistant and multidrug-resistant gram-negative pathogens in the neurocritical intensive care unit. Acta Neurochir (Wien) 2022; 164:859-865. [PMID: 33063159 DOI: 10.1007/s00701-020-04611-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 10/05/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Abrupt increase of multidrug-resistant, extensively drug-resistant, and pandrug-resistant bacteria may complicate the course, management, and costs of neurocritical patients and is associated with high morbidity and mortality rates. No data exists regarding risk factors for colonization by gram-negative pathogens in neurocritical patients. The aim of the study was to identify risk factors associated with colonization by multidrug-resistant, extensively drug-resistant, and pandrug-resistant gram-negative bacteria in neurocritical patients. METHODS We conducted a retrospective cohort study in a neurointensive care unit over a period of 3 years. We included adult neurocritical patients admitted for more than 48 h. We analyzed several factors including both anamnestic factors and admission diagnosis. RESULTS Four hundred twenty neurocritical patients were retrospectively enrolled. Seventy-three patients developed colonization by multidrug-resistant and 53 by extensively drug-resistant gram negative pathogens. Logistic regression identified intensive care unit length of stay (LOS) as the strongest predictor for both multidrug-resistant (AUC 0.877; 95% CI 0.841-0.913) and extensively drug-resistant (AUC 0.839 0.787-0.892) gram negative pathogens. In addition, external ventricular drainage and intracerebral pressure monitoring catheter were risk factors for XDR. Survival analysis revealed that MDR bacteria colonization happens earlier (log-rank test p = 0.017). CONCLUSIONS Optimization of healthcare strategies is required in order to reduce patients' length of stay to prevent multi- and extensively-drug gram-negative colonizations. Indeed, an early external ventricular drainage and intracerebral pressure monitoring catheter removal is deemed necessary as soon as clinically appropriate.
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Sahib Abdul-Mohammed H, Kamal Mohammed A, Mohsen Ahmed Z. Imipenem Resistance in Gram-Negative Bacteria in the Central Pediatric Teaching Hospital in Baghdad, Iraq. ARCHIVES OF RAZI INSTITUTE 2022; 77:123-128. [PMID: 35891739 PMCID: PMC9288647 DOI: 10.22092/ari.2021.356678.1891] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 12/04/2021] [Indexed: 02/23/2023]
Abstract
Antimicrobial resistance (AMR) is a serious challenge for infectious disease prevention and treatment, according to the World Health Organization. It is a worldwide problem caused primarily by inappropriate and insufficient therapy, misuse of antimicrobials without physician supervision, unnecessary hospital readmissions, and other factors. AMR has several consequences, including increased medical costs and mortality. The present study aimed to evaluate imipenem resistance in gram-negative bacteria in Central Pediatric Teaching Hospital in Baghdad, Iraq, and determine this bacteria resistance in different samples. Initially, a total of 100 different samples were collected from child patients from October 1, 2020, to August 31, 2021. Each isolate was identified using VITEK 2 automated microbiology system. The recorded data showed that the isolated organisms resistant to imipenem included Klebsiella pneumonia (n=21), Pseudomonas aeruginosa (n=19), and Acinetobacter baumannii (n=16). In the current study, Klebsiella pneumonia was the most common pathogen in males (n=57) compared to female (n=43), followed by Pseudomonas aeruginosa and Acinetobacter baumannii, particularly in the age range of 1 day- 3 years. Depending on the sample type, Klebsiella pneumonia, the most imipenem-resistant bacteria, was found more in the urine of patients with urinary tract infections. Pseudomonas aeruginosa was equally found in blood, urine, wound swab, and sputum samples. In comparison to other samples, Acinetobacter baumannii was found in greater numbers in the blood and in an equal number in urine and cerebrospinal.
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Inciong JFB, Chaudhary A, Hsu HS, Joshi R, Seo JM, Trung LV, Ungpinitpong W, Usman N, Pradelli L, Omaralsaleh AJ. Economic burden of hospital malnutrition: A cost-of-illness model. Clin Nutr ESPEN 2022; 48:342-350. [DOI: 10.1016/j.clnesp.2022.01.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 01/17/2022] [Accepted: 01/18/2022] [Indexed: 02/07/2023]
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Chandra P, Mk U, Ke V, Mukhopadhyay C, U DA, M SR, V R. Antimicrobial resistance and the post antibiotic era: better late than never effort. Expert Opin Drug Saf 2021; 20:1375-1390. [PMID: 33999733 DOI: 10.1080/14740338.2021.1928633] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Introduction: Antimicrobial resistance (AMR) is a multi-layered problem with a calamitous impact on humans, livestock, the environment, and the biosphere. Initiatives and action plan to preclude AMR remain poorly implemented in India.Area covered: This review highlights essential factors contributing to AMR, epidemiology of the resistant bacteria, current treatment options, economic impact, and regulatory efforts initiated by the Indian government to tackle AMR.Expert opinion: Health-care professionals, hospitals, and the general public must understand and cooperatively implement the 'One Health approach,' which entails judicious use of antibiotics in humans, animals, and the environment. Neglecting the AMR problem predicts the expansion of the 'Post-antibiotic era' characterized by drying antibiotic discovery pipelines, overuse of 'Watch' and 'Reserve' groups, coupled with underuse of 'Access' antibiotics, increased daily defined doses, increased healthcare cost, rise in morbidity, mortality, and environmental degradation. The Indian case study elucidates a looming international crisis that demands global attention and commitment for envisaging and implementing locally relevant solutions.
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Affiliation(s)
- Prashant Chandra
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Unnikrishnan Mk
- Department of Pharmacy Practice, NGSM Institute of Pharmaceutical Sciences, Nitte University, Deralakatte, Mangaluru, Karnataka, India
| | - Vandana Ke
- Department of Microbiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Chiranjay Mukhopadhyay
- Department of Microbiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Dinesh Acharya U
- Department of Computer Science & Engineering, Manipal Institute of Technology Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Surulivel Rajan M
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Rajesh V
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
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Estimating the excess bed days and economic burden of healthcare-associated infections in Singapore public acute-care hospitals. Infect Control Hosp Epidemiol 2021; 43:1245-1248. [PMID: 34016198 DOI: 10.1017/ice.2021.165] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
We estimated the annual bed days lost and economic burden of healthcare-associated infections to Singapore hospitals using Monte Carlo simulation. The mean (standard deviation) cost of a single healthcare-associated infection was S$1,809 (S$440) [or US$1,362 (US$331)]. This translated to annual lost bed days and economic burden of 55,978 (20,506) days and S$152.0 million (S$37.1 million) [or US$114.4 million (US$27.9 million)], respectively.
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Li F, Wu Y, Bian W, Huang L, Zhu X, Chen X, Wang M. Features and associated factors of bacterial skin infections in hospitalized patients with pemphigus: a single-center retrospective study. Ann Clin Microbiol Antimicrob 2020; 19:46. [PMID: 33032608 PMCID: PMC7545872 DOI: 10.1186/s12941-020-00388-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 09/23/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Infections were the primary cause of death (34.3-55.5%) in patients with pemphigus. Skin was usually the origin of infections. The study aimed to explore features and associated factors of bacterial skin infections (BSIs) in inpatients with pemphigus. METHODS One hundred and seventy-seven inpatients with pemphigus hospitalizing from November 2014 to April 2019 were continuously recruited through Peking University First Hospital's inpatient records inpatients with pemphigus hospitalizing from November 2014 to April 2019 were continuously recruited through Peking University First Hospital's inpatient records. Then, we retrieved the clinical and laboratory data to explore the characteristics and associated factors of BSIs. RESULTS Of patients enrolled, pemphigus vulgaris (PV, n = 142) and pemphigus foliaceus (PF, n = 9) were most common, followed by pemphigus erythematosus (PE, n = 25) and pemphigus vegetans (Pveg, n = 1). Eighty-seven of 177 (49.2%) inpatients developed BSIs, and they had a longer length of stay compared with inpatients without BSIs (median: 18.9 vs. 14.1 days, p = 0.008). Staphylococcus aureus was the most common bacteria (71.3%, 62/87) and highly resistant to penicillin (91.9%, 57/62). Higher levels of anti-Dsg1 autoantibodies (> 124.2 U/mL) (p < 0.001, odds ratio [OR] = 3.564, 95% confidence interval [CI]: 1.784-7.123) and anti-Dsg3 autoantibodies (> 169.5 U/mL) (p = 0.03, OR = 2.074, 95% CI: 1.084-3.969) were underlying risk factors of BSIs when analyzed by binary regression analysis. As for Gram's stain of bacteria, females had a lower rate of Gram-positive infections (p = 0.03). Patients using oral antibiotics (p = 0.05) had a higher rate of Gram-negative infections. Inpatients who were hospitalized in other hospitals within 2 weeks before the current admission had a higher rate of Gram-negative and co-infections (p = 0.03). CONCLUSIONS Inpatients with pemphigus had a high incidence of BSIs. Some factors were associated with the susceptibility of BSIs and bacterial species.
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Affiliation(s)
- Furong Li
- Department of Dermatology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, China.,National Clinical Research Center for Skin and Immune Diseases, Beijing, China.,Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, Beijing, China
| | - Yejun Wu
- Department of Eight-year Clinical Medical Education, Peking University People's Hospital, Beijing, China
| | - Wenjie Bian
- Department of Eight-year Clinical Medical Education, Peking University People's Hospital, Beijing, China
| | - Lei Huang
- Department of Clinical Laboratory, Peking University First Hospital, Beijing, China
| | - Xuejun Zhu
- Department of Dermatology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, China.,National Clinical Research Center for Skin and Immune Diseases, Beijing, China.,Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, Beijing, China
| | - Xixue Chen
- Department of Dermatology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, China.,National Clinical Research Center for Skin and Immune Diseases, Beijing, China.,Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, Beijing, China
| | - Mingyue Wang
- Department of Dermatology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing, 100034, China. .,National Clinical Research Center for Skin and Immune Diseases, Beijing, China. .,Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, Beijing, China.
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The impact of healthcare associated infections on mortality and length of stay in Singapore-A time-varying analysis. Infect Control Hosp Epidemiol 2020; 41:1315-1320. [PMID: 32665057 DOI: 10.1017/ice.2020.304] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVE Methods that include the time-varying nature of healthcare-associated infections (HAIs) avoid biases when estimating increased risk of death and excess length of stay. We determined the excess mortality risk and length of stay associated with HAIs among inpatients in Singapore using a multistate model that accommodates the timing of key events. DESIGN Analysis of existing prospective cohort study data. SETTING Seven public acute-care hospitals in Singapore. PATIENTS Inpatients reviewed in a HAI point-prevalence survey (PPS) conducted between June 2015 and February 2016. METHODS We modeled each patient's admission over time using 4 states: susceptible with no HAI, infected, died, and discharged alive. We estimated the excess mortality risk and length of stay associated with HAIs, with adjustment for the baseline characteristics between the groups for mortality risk. RESULTS We included 4,428 patients, of whom 469 had ≥1 HAI. Using a multistate model, the expected excess length of stay due to any HAI was 1.68 days (95% confidence interval [CI], 1.15-2.21 days). Surgical site infections were associated with the longest excess length of stay of 4.68 days (95% CI, 2.60-6.76 days). After adjusting for baseline differences, HAIs were associated with increased hazards of in-hospital mortality (adjusted hazard ratio [aHR], 1.32; 95% CI, 1.09-1.65) and decreased hazards in being discharged (aHR, 0.75; 95% CI, 0.67-0.84). CONCLUSIONS HAIs are associated with increased length of hospital stay and mortality in hospitalized patients. Avoiding nosocomial infections can improve patient outcomes and free valuable bed days.
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Lv Y, Chen L, Yu J W, Xiang Q, Tang QS, Wang FD, Cai HM, Zou K, Wei QD, Zhou HZ, Wang H, Wang C, Chen J, Li TL, Fang Y, Wang H. Hospitalization costs due to healthcare-associated infections: An analysis of propensity score matching. J Infect Public Health 2019; 12:568-575. [PMID: 30824329 DOI: 10.1016/j.jiph.2019.01.069] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 01/30/2019] [Accepted: 01/31/2019] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND In 2018, diagnosis-related group-based prospective payment system (DRG-PPS) was implemented nationwide by China that did not fully consider the additional costs caused by healthcare-associated infections (HAIs). HAIs can increase hospitalization costs, but only a few studies have been conducted in China. We aimed to assess the additional costs caused by HAIs. METHODS A retrospective matched case-control (1:1) study was performed in one of the largest tertiary hospitals in Sichuan Province, China. A multiple linear regression was used to identify confounding factors, and the propensity score matching (PSM) method was used to balance confounding factors between cases and controls. On this basis, we estimated the additional costs caused by HAIs. RESULTS Of the 109,294 inpatients observed, 1912 had HAI. After the PSM method was implemented, 1686 cases were successfully matched. Median hospitalization costs were €5613.03 for patients with HAIs and €3414.83 for patients without HAIs (P < 0.001), resulting in an absolute difference of €2198.19. With the exception of pathological diagnosis costs, surgical treatment costs and disposable medical material costs for surgery, all other types of costs for the cases with HAIs were larger. CONCLUSIONS Patients with HAIs incurred greater hospitalization costs than non-HAI patients, which warrants closer attention if we are to reform the payment method of medical insurance in China.
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Affiliation(s)
- Yu Lv
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072, Sichuan, PR China.
| | - Lan Chen
- Chengdu Food and Drug Inspection and Research Institute, Chengdu, 610045, Sichuan, PR China.
| | - Wu Yu J
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072, Sichuan, PR China.
| | - Qian Xiang
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072, Sichuan, PR China.
| | - Qiong S Tang
- Public Health Department, Tongxi Center Health Hospital, Hechuan, 401520, Chongqing, PR China.
| | - Feng D Wang
- Department of Nursing, Nanjin Street Social Health Service Center, Hechuan, 401520, Chongqing, PR China.
| | - Hong M Cai
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072, Sichuan, PR China.
| | - Kun Zou
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072, Sichuan, PR China.
| | - Qiong D Wei
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072, Sichuan, PR China.
| | - Hua Z Zhou
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072, Sichuan, PR China.
| | - Hui Wang
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072, Sichuan, PR China.
| | - Chen Wang
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072, Sichuan, PR China.
| | - Jing Chen
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072, Sichuan, PR China.
| | - Ting L Li
- Development Department, Chengdu Yiou Technology Co. Ltd., Chengdu, 610000, Sichuan, PR China.
| | - Ying Fang
- Healthcare-associated Infection Management Division, Jianyang People's Hospital, Jianyang, 641400, Sichuan, PR China.
| | - Huan Wang
- Healthcare-associated Infection Management Office, Yibin Second People's Hospital, Yibin, 644000, Sichuan, PR China.
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Lü Y, Cai MH, Cheng J, Zou K, Xiang Q, Wu JY, Wei DQ, Zhou ZH, Wang H, Wang C, Chen J. A multi-center nested case-control study on hospitalization costs and length of stay due to healthcare-associated infection. Antimicrob Resist Infect Control 2018; 7:99. [PMID: 30116526 PMCID: PMC6085640 DOI: 10.1186/s13756-018-0386-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 07/19/2018] [Indexed: 12/02/2022] Open
Abstract
Background In 2018, the Chinese government demanded nationwide implementation of medical insurance payment methods based on Single-Disease Payment (SDP), but during the operation process the medical insurance system did not fully consider the extra economic burden caused by healthcare-associated infection (HAI). HAIs can prolong the length of stay and increase the hospitalization costs, but only a few studies have been conducted in Sichuan province, China. We evaluated the hospitalization costs and length of stay due to HAI in Sichuan province based on the prevalence survey, and provided data reference for China’s medical insurance reform. Methods In the hospitals surveyed on the prevalence of HAI, a multi-center nested case-control study was performed by a paired method. The study period was from 6 September 2016 to 30 November 2016. Binary outcomes were tested using χ2 test, continuous outcomes were tested using Wilcoxon matched-pairs signed rank test, intra-group comparisons were tested using multiple linear regression analysis. Results A total of 225 pairs/450 patients were selected in 51 hospitals, and 170 pairs/350 patients were successfully matched. The case fatality rate was 5.14% for the HAIs patients and 3.43% for non-HAs patients, there was no significant difference (χ2 = 0.627, P = 0.429); the median length of stay in patients with HAIs was 21 days, longer than that of patients with non-HAI 16 days, the median of the difference between matched-pairs was 5 days, the difference was statistically significant (Z = 4.896, P = 0.000). The median hospitalization costs of patients with HAI were €1732.83, higher than that of patients with non-HAI €1095.29, the median of the difference between matched-pairs were €431.34, the difference was statistically significant (Z = 6.413, P = 0.000). Multiple linear regression results showed that HAIs at different sites have caused different economic burdens, but in different economic regions, the difference was not statistically significant. Conclusions In Sichuan, the hospitalization costs and length of stay caused by HAI should be given special attention in the current medical insurance reform. The proportion and scope of medical payment for patients with HAI at different sites should be different. Efforts need to be taken to incentivize reduction of HAI rates which will reduce hospitalization costs and length of stay.
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Affiliation(s)
- Yu Lü
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China
| | - Min Hong Cai
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China
| | - Jian Cheng
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China
| | - Kun Zou
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China
| | - Qian Xiang
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China
| | - Jia Yu Wu
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China
| | - Dao Qiong Wei
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China
| | - Zhong Hua Zhou
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China
| | - Hui Wang
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China
| | - Chen Wang
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China
| | - Jing Chen
- Healthcare-associated Infection Management Office, Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, 610072 Sichuan People's Republic of China
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Naylor NR, Atun R, Zhu N, Kulasabanathan K, Silva S, Chatterjee A, Knight GM, Robotham JV. Estimating the burden of antimicrobial resistance: a systematic literature review. Antimicrob Resist Infect Control 2018; 7:58. [PMID: 29713465 PMCID: PMC5918775 DOI: 10.1186/s13756-018-0336-y] [Citation(s) in RCA: 277] [Impact Index Per Article: 46.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 03/14/2018] [Indexed: 01/02/2023] Open
Abstract
Background Accurate estimates of the burden of antimicrobial resistance (AMR) are needed to establish the magnitude of this global threat in terms of both health and cost, and to paramaterise cost-effectiveness evaluations of interventions aiming to tackle the problem. This review aimed to establish the alternative methodologies used in estimating AMR burden in order to appraise the current evidence base. Methods MEDLINE, EMBASE, Scopus, EconLit, PubMed and grey literature were searched. English language studies evaluating the impact of AMR (from any microbe) on patient, payer/provider and economic burden published between January 2013 and December 2015 were included. Independent screening of title/abstracts followed by full texts was performed using pre-specified criteria. A study quality score (from zero to one) was derived using Newcastle-Ottawa and Philips checklists. Extracted study data were used to compare study method and resulting burden estimate, according to perspective. Monetary costs were converted into 2013 USD. Results Out of 5187 unique retrievals, 214 studies were included. One hundred eighty-seven studies estimated patient health, 75 studies estimated payer/provider and 11 studies estimated economic burden. 64% of included studies were single centre. The majority of studies estimating patient or provider/payer burden used regression techniques. 48% of studies estimating mortality burden found a significant impact from resistance, excess healthcare system costs ranged from non-significance to $1 billion per year, whilst economic burden ranged from $21,832 per case to over $3 trillion in GDP loss. Median quality scores (interquartile range) for patient, payer/provider and economic burden studies were 0.67 (0.56-0.67), 0.56 (0.46-0.67) and 0.53 (0.44-0.60) respectively. Conclusions This study highlights what methodological assumptions and biases can occur dependent on chosen outcome and perspective. Currently, there is considerable variability in burden estimates, which can lead in-turn to inaccurate intervention evaluations and poor policy/investment decisions. Future research should utilise the recommendations presented in this review. Trial registration This systematic review is registered with PROSPERO (PROSPERO CRD42016037510).
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Affiliation(s)
- Nichola R. Naylor
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance at Imperial College, Hammersmith Campus, London, W12 0NN UK
| | - Rifat Atun
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance at Imperial College, Hammersmith Campus, London, W12 0NN UK
- Harvard University, 665 Huntington Avenue, Boston, MA 02115 USA
| | - Nina Zhu
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance at Imperial College, Hammersmith Campus, London, W12 0NN UK
| | - Kavian Kulasabanathan
- Imperial College London, Sir Alexander Fleming Building, South Kensington Campus, London, UK
| | - Sachin Silva
- Harvard University, 665 Huntington Avenue, Boston, MA 02115 USA
| | - Anuja Chatterjee
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance at Imperial College, Hammersmith Campus, London, W12 0NN UK
| | - Gwenan M. Knight
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance at Imperial College, Hammersmith Campus, London, W12 0NN UK
| | - Julie V. Robotham
- National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance at Imperial College, Hammersmith Campus, London, W12 0NN UK
- Modelling and Economics Unit, National Infection Service, Public Health England, 61 Colindale Avenue, London, NW9 5EQ UK
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14
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Ang H, Sun X. Risk factors for multidrug-resistant Gram-negative bacteria infection in intensive care units: A meta-analysis. Int J Nurs Pract 2018; 24:e12644. [PMID: 29575345 DOI: 10.1111/ijn.12644] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 01/09/2018] [Accepted: 02/10/2018] [Indexed: 12/18/2022]
Abstract
AIMS To identify the risk factors for multidrug-resistant Gram-negative bacteria systematically and provide suggestions and an evidence-base for clinical measures. BACKGROUND With the increase in the social population, changes in human behaviour and ecosystems, as well as economic development, bacteria have gradually produced drug resistance genes. These have swept through intensive care units causing high mortality. METHODS Relevant literature which included case-control and cohort studies published from January 1999 to March 2017 were searched in the Cochrane Library, PubMed, Web of Science, and Medline. Meta-analysis was performed by using StataSE version 12.0 software. RESULTS Eighteen studies of 235 publications were eligible. Male gender (OR 1.40, 95%CI 1.09, 1.80), having an operative procedure (OR 1.31, 95%CI 1.10, 1.56), a central venous catheter (OR 1.22, 95%CI 1.01, 1.48), mechanical ventilation (OR 1.25, 95%CI 1.07, 1.46), previous antibiotic therapy (OR 1.66, 95%CI 1.41, 1.96), length of ICU stay (weighted mean difference 8.18, 95%CI 0.27, 16.10), and types of health-associated infections were the identified risk factors for multidrug-resistant Gram-negative bacterial infection in intensive care units; moreover, diabetes mellitus was not. CONCLUSION Six risk factors were associated with multidrug-resistant Gram-negative bacterial infection in intensive care units. Antimicrobial stewardship, infection control, and medical staff prevention care are needed.
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Affiliation(s)
- Hui Ang
- Medical School, Yangtze University, Jingzhou, Hubei, China
| | - Xuan Sun
- Department of Nursing, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
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15
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Cai Y, Venkatachalam I, Tee NW, Tan TY, Kurup A, Wong SY, Low CY, Wang Y, Lee W, Liew YX, Ang B, Lye DC, Chow A, Ling ML, Oh HM, Cuvin CA, Ooi ST, Pada SK, Lim CH, Tan JWC, Chew KL, Nguyen VH, Fisher DA, Goossens H, Kwa AL, Tambyah PA, Hsu LY, Marimuthu K. Prevalence of Healthcare-Associated Infections and Antimicrobial Use Among Adult Inpatients in Singapore Acute-Care Hospitals: Results From the First National Point Prevalence Survey. Clin Infect Dis 2018; 64:S61-S67. [PMID: 28475790 DOI: 10.1093/cid/cix103] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Background We conducted a national point prevalence survey (PPS) to determine the prevalence of healthcare-associated infections (HAIs) and antimicrobial use (AMU) in Singapore acute-care hospitals. Methods Trained personnel collected HAI, AMU, and baseline hospital- and patient-level data of adult inpatients from 13 private and public acute-care hospitals between July 2015 and February 2016, using the PPS methodology developed by the European Centre for Disease Prevention and Control. Factors independently associated with HAIs were determined using multivariable regression. Results Of the 5415 patients surveyed, there were 646 patients (11.9%; 95% confidence interval [CI], 11.1%-12.8%) with 727 distinct HAIs, of which 331 (45.5%) were culture positive. The most common HAIs were unspecified clinical sepsis (25.5%) and pneumonia (24.8%). Staphylococcus aureus (12.9%) and Pseudomonas aeruginosa (11.5%) were the most common pathogens implicated in HAIs. Carbapenem nonsusceptibility rates were highest in Acinetobacter species (71.9%) and P. aeruginosa (23.6%). Male sex, increasing age, surgery during current hospitalization, and presence of central venous or urinary catheters were independently associated with HAIs. A total of 2762 (51.0%; 95% CI, 49.7%-52.3%) patients were on 3611 systemic antimicrobial agents; 462 (12.8%) were prescribed for surgical prophylaxis and 2997 (83.0%) were prescribed for treatment. Amoxicillin/clavulanate was the most frequently prescribed (24.6%) antimicrobial agent. Conclusions This survey suggested a high prevalence of HAIs and AMU in Singapore's acute-care hospitals. While further research is necessary to understand the causes and costs of HAIs and AMU in Singapore, repeated PPSs over the next decade will be useful to gauge progress at controlling HAIs and AMU.
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Affiliation(s)
- Yiying Cai
- Department of Pharmacy, Singapore General Hospital.,Department of Pharmacy, National University of Singapore
| | | | - Nancy W Tee
- Department of Pathology and Laboratory Medicine, KK Women's and Children's Hospital
| | - Thean Yen Tan
- Department of Laboratory Medicine, Changi General Hospital
| | - Asok Kurup
- Infectious Diseases Care, Mount Elizabeth (Orchard) Hospital
| | - Sin Yew Wong
- Infectious Disease Specialists, Gleneagles Hospital
| | - Chian Yong Low
- Novena Medical Specialists, Mount Elizabeth (Novena) Hospital
| | - Yang Wang
- Division of Nursing, Raffles Hospital, Departments of
| | - Winnie Lee
- Department of Pharmacy, Singapore General Hospital
| | - Yi Xin Liew
- Department of Pharmacy, Singapore General Hospital
| | | | | | - Angela Chow
- Clinical Epidemiology, Institute of Infectious Diseases and Epidemiology, Tan Tock Seng Hospital.,Saw Swee Hock School of Public Health, National University of Singapore, 13Infection Control, Singapore General Hospital
| | | | - Helen M Oh
- Division of Infectious Diseases, Changi General Hospital
| | | | - Say Tat Ooi
- Department of General Medicine, Khoo Teck Puat Hospital
| | - Surinder K Pada
- Department of Infectious Diseases, Ng Teng Fong General Hospital
| | - Chong Hee Lim
- Department of Cardiothoracic Surgery, National Heart Center
| | | | - Kean Lee Chew
- Department of Laboratory Medicine, National University Hospital, Singapore
| | - Van Hai Nguyen
- School of Pharmacy, Memorial University, St John's, NL, Canada
| | - Dale A Fisher
- Division of Infectious Disease, National University Hospital, and.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Herman Goossens
- Laboratory of Medical Microbiology, University of Antwerp, Belgium; and
| | - Andrea L Kwa
- Department of Pharmacy, Singapore General Hospital.,Department of Pharmacy, National University of Singapore.,Emerging Infectious Diseases, Duke-NUS Medical School, Singapore
| | - Paul A Tambyah
- Division of Infectious Disease, National University Hospital, and.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Li Yang Hsu
- Infectious Diseases and.,Saw Swee Hock School of Public Health, National University of Singapore, 13Infection Control, Singapore General Hospital
| | - Kalisvar Marimuthu
- Infectious Diseases and.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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16
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Kardaś-Słoma L, Lucet JC, Perozziello A, Pelat C, Birgand G, Ruppé E, Boëlle PY, Andremont A, Yazdanpanah Y. Universal or targeted approach to prevent the transmission of extended-spectrum beta-lactamase-producing Enterobacteriaceae in intensive care units: a cost-effectiveness analysis. BMJ Open 2017; 7:e017402. [PMID: 29102989 PMCID: PMC5722099 DOI: 10.1136/bmjopen-2017-017402] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
OBJECTIVE Several control strategies have been used to limit the transmission of multidrug-resistant organisms in hospitals. However, their implementation is expensive and effectiveness of interventions for the control of extended-spectrum beta-lactamase-producing Enterobacteriaceae (ESBL-PE) spread is controversial. Here, we aim to assess the cost-effectiveness of hospital-based strategies to prevent ESBL-PE transmission and infections. DESIGN Cost-effectiveness analysis based on dynamic, stochastic transmission model over a 1-year time horizon. PATIENTS AND SETTING Patients hospitalised in a hypothetical 10-bed intensive care unit (ICU) in a high-income country. INTERVENTIONS Base case scenario compared with (1) universal strategies (eg, improvement of hand hygiene (HH) among healthcare workers, antibiotic stewardship), (2) targeted strategies (eg, screening of patient for ESBL-PE at ICU admission and contact precautions or cohorting of carriers) and (3) mixed strategies (eg, targeted approaches combined with antibiotic stewardship). MAIN OUTCOMES AND MEASURES Cases of ESBL-PE transmission, infections, cost of intervention, cost of infections, incremental cost per infection avoided. RESULTS In the base case scenario, 15 transmissions and five infections due to ESBL-PE occurred per 100 ICU admissions, representing a mean cost of €94 792. All control strategies improved health outcomes and reduced costs associated with ESBL-PE infections. The overall costs (cost of intervention and infections) were the lowest for HH compliance improvement from 55%/60% before/after contact with a patient to 80%/80%. CONCLUSIONS Improved compliance with HH was the most cost-saving strategy to prevent the transmission of ESBL-PE. Antibiotic stewardship was not cost-effective. However, adding antibiotic restriction strategy to HH or screening and cohorting strategies slightly improved their effectiveness and may be worthy of consideration by decision-makers.
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Affiliation(s)
- Lidia Kardaś-Słoma
- IAME, UMR 1137, INSERM, Paris, France
- University of Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Jean-Christophe Lucet
- IAME, UMR 1137, INSERM, Paris, France
- University of Paris Diderot, Sorbonne Paris Cité, Paris, France
- Infection Control Unit, Bichat-Claude Bernard Hospital, AP-HP, Paris, France
| | - Anne Perozziello
- IAME, UMR 1137, INSERM, Paris, France
- University of Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Camille Pelat
- IAME, UMR 1137, INSERM, Paris, France
- University of Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Gabriel Birgand
- IAME, UMR 1137, INSERM, Paris, France
- University of Paris Diderot, Sorbonne Paris Cité, Paris, France
- Infection Control Unit, Bichat-Claude Bernard Hospital, AP-HP, Paris, France
| | - Etienne Ruppé
- Bacteriology Laboratory, Bichat-Claude Bernard Hospital, AP-HP, Paris, France
| | - Pierre-Yves Boëlle
- Pierre Louis Institute of Epidemiology and Public Health (IPLESPUMRS 1136), INSERM, UPMC University Paris 06, Sorbonne University, Paris, France
| | - Antoine Andremont
- Bacteriology Laboratory, Bichat-Claude Bernard Hospital, AP-HP, Paris, France
| | - Yazdan Yazdanpanah
- IAME, UMR 1137, INSERM, Paris, France
- University of Paris Diderot, Sorbonne Paris Cité, Paris, France
- Infectious and Tropical Diseases Department, Bichat-Claude Bernard Hospital, AP-HP, Paris, France
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17
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Parajuli NP, Acharya SP, Mishra SK, Parajuli K, Rijal BP, Pokhrel BM. High burden of antimicrobial resistance among gram negative bacteria causing healthcare associated infections in a critical care unit of Nepal. Antimicrob Resist Infect Control 2017. [PMID: 28638594 PMCID: PMC5472869 DOI: 10.1186/s13756-017-0222-z] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Background Healthcare associated infections (HCAI) and antimicrobial resistance are principal threats to the patients of intensive care units and are the major determining factors for patient outcome. They are associated with increased morbidity, mortality, excess hospitalization and financial costs. The present study is an attempt to investigate the spectrum and antimicrobial resistance of bacterial isolates involved in healthcare associated infections (HCAI) in the patients of a critical care unit at a tertiary care university hospital in Kathmandu, Nepal. Methods A laboratory based study was conducted over the period of 15 months (January 2014 to March 2015) among the patients of intensive care unit of Tribhuvan University Teaching Hospital, Kathmandu, Nepal. Clinical specimens from patients with suspected healthcare-associated infection were processed and bacterial isolates were identified with standard microbiological methods. Antimicrobial susceptibilities of the isolated strains were determined according to the CLSI guidelines and β-lactamases (ESBL, AmpC, MBL and KPC) were detected by various phenotypic tests. Results One hundred and forty nine clinical specimens received from 135 patients suspected of HCAI (out of 491 patients) were found with significant bacterial growth. Specimens were from patients suspected of hospital-acquired pneumonia (16%, 79/491), bloodstream infections (5.7%, 28/491), surgical site infections (4.7%, 23/491), and urinary tract infections (3.9%, 19/491). Acinetobacter spp., Klebsiella spp., Escherichia coli and Burkholderia cepacia were the leading bacterial pathogens. Extremely high level of drug resistance (95.8%) along with the production of β-lactamases (ESBL; 43.7%, AmpC; 27.5%), MBL; 50.2% and KPC; 4.2%) was observed among Gram negative bacterial isolates. Conclusion Healthcare associated infections are very common in our ICU. Gram negative bacterial pathogens are major culprits associated with these infections and there is alarming state of drug resistance among these isolates. Continuous surveillance and establishment of preventive and control measures of healthcare associated infections are urgently needed in our setting.
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Affiliation(s)
- Narayan Prasad Parajuli
- Department of Clinical Microbiology, Institute of Medicine, Tribhuvan University Teaching Hospital, Kathmandu, Nepal.,Department of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Khola Pravesh Marg, Soalteemode, P.O. Box No. 15201, Kathmandu, Nepal
| | - Subhash Prasad Acharya
- Department of Anesthesiology and Critical Care, Institute of Medicine, Tribhuvan University Teaching Hospital, Kathmandu, Nepal
| | - Shyam Kumar Mishra
- Department of Clinical Microbiology, Institute of Medicine, Tribhuvan University Teaching Hospital, Kathmandu, Nepal
| | - Keshab Parajuli
- Department of Clinical Microbiology, Institute of Medicine, Tribhuvan University Teaching Hospital, Kathmandu, Nepal
| | - Basista Prasad Rijal
- Department of Clinical Microbiology, Institute of Medicine, Tribhuvan University Teaching Hospital, Kathmandu, Nepal
| | - Bharat Mani Pokhrel
- Department of Clinical Microbiology, Institute of Medicine, Tribhuvan University Teaching Hospital, Kathmandu, Nepal
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Jácome PRLDA, Alves LR, Jácome-Júnior AT, Silva MJBD, Lima JLDC, Araújo PSR, Lopes ACS, Maciel MAV. Detection of bla
SPM-1, bla
KPC, bla
TEM and bla
CTX-M genes in isolates of Pseudomonas aeruginosa, Acinetobacter spp. and Klebsiella spp. from cancer patients with healthcare-associated infections. J Med Microbiol 2016; 65:658-665. [DOI: 10.1099/jmm.0.000280] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- Paula Regina Luna de Araújo Jácome
- Universidade Federal de Pernambuco – Departamento de Medicina Tropical – Programa de Pós- Graduação em Medicina Tropical, Av. Moraes Rego, 1235 – Cidade Universitária, Recife-PE 50670-901, Brazil
| | - Lílian Rodrigues Alves
- Universidade Federal de Pernambuco – Departamento de Medicina Tropical – Programa de Pós- Graduação em Medicina Tropical, Av. Moraes Rego, 1235 – Cidade Universitária, Recife-PE 50670-901, Brazil
| | - Agenor Tavares Jácome-Júnior
- Faculdade ASCES – Laboratório de Microbiologia, Bromatologia e Análise de Água, Av. Portugal, 584 – Bairro Universitario, Caruaru-PE 55016-400, Brazil
| | - Maria Jesuíta Bezerra da Silva
- Centro Integrado de Análises Clínicas, Avenida Norte Miguel Arraes de Alencar, 2535 – Encruzilhada, Recife – PE 52041-080, Brazil
| | - Jailton Lobo da Costa Lima
- Universidade Federal de Pernambuco – Departamento de Medicina Tropical – Programa de Pós- Graduação em Medicina Tropical, Av. Moraes Rego, 1235 – Cidade Universitária, Recife-PE 50670-901, Brazil
| | - Paulo Sérgio Ramos Araújo
- Universidade Federal de Pernambuco – Departamento de Medicina Tropical – Programa de Pós- Graduação em Medicina Tropical, Av. Moraes Rego, 1235 – Cidade Universitária, Recife-PE 50670-901, Brazil
- Fundação Oswaldo Cruz (Fiocruz) – Centro de Pesquisa Aggeu Magalhães, Av. Moraes Rego, s/n – Cidade Universitária, Recife-PE 50670-420, Brazil
| | - Ana Catarina S. Lopes
- Universidade Federal de Pernambuco – Departamento de Medicina Tropical – Programa de Pós- Graduação em Medicina Tropical, Av. Moraes Rego, 1235 – Cidade Universitária, Recife-PE 50670-901, Brazil
| | - Maria Amélia Vieira Maciel
- Universidade Federal de Pernambuco – Departamento de Medicina Tropical – Programa de Pós- Graduação em Medicina Tropical, Av. Moraes Rego, 1235 – Cidade Universitária, Recife-PE 50670-901, Brazil
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19
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Gustinetti G, Mikulska M. Bloodstream infections in neutropenic cancer patients: A practical update. Virulence 2016; 7:280-97. [PMID: 27002635 PMCID: PMC4871679 DOI: 10.1080/21505594.2016.1156821] [Citation(s) in RCA: 112] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Revised: 02/11/2016] [Accepted: 02/13/2016] [Indexed: 12/29/2022] Open
Abstract
Bloodstream infections (BSI) are among the most frequent complications in neutropenic cancer patients and, if caused by Gram-negative rods, are associated with high mortality. Thus, fever during neutropenia warrants prompt empirical antibiotic therapy which should be active against the most frequent Gram-negatives. In the last decade, there has been a worldwide increase in multidrug resistant (MDR) strains. In these cases, the traditional choices such as oral therapy, ceftazidime, cefepime, piperacillin-tazobactam, or even carbapenems, might be ineffective. Therefore novel de-escalation approach has been proposed for patients who are at high risk for infections due to MDR bacteria. It consists of starting antibiotics which cover the most probable resistant strain but it is narrowed down after 72 hours if no MDR pathogen is isolated. With increasing bacterial resistance, the benefit of fluoroquinolone prophylaxis during prolonged neutropenia remains to be confirmed. Antibiotic stewardship and infection control programs are mandatory in every cancer center.
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Affiliation(s)
- Giulia Gustinetti
- Division of Infectious Diseases, University of Genova (DISSAL) and IRCCS San Martino-IST, Genova, Italy
| | - Malgorzata Mikulska
- Division of Infectious Diseases, University of Genova (DISSAL) and IRCCS San Martino-IST, Genova, Italy
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