Epidemiology of device-associated infections in an intensive care unit of a teaching hospital in Nepal: A prospective surveillance study from a developing country

Identifying the barriers and facilitators to implementation of ventilator bundle in the nepalese intensive care unit: A descriptive qualitative study

BACKGROUND

A ventilator bundle is an effective preventive strategy against the development of ventilator-associated pneumonia (VAP). However, in clinical practice ventilator bundle implementation is poor. Understanding the barriers to ventilator bundle implementation in low- and middle-income countries can inform the development of effective implementation strategies to reduce the burden of VAP.

OBJECTIVES

The primary objective of this study was to explore the barriers and facilitators of ventilator bundle implementation perceived by healthcare professionals (HCPs) working in intensive care units (ICU) in Nepal. The secondary objective was to prioritise the barriers when developing implementation strategies.

METHODS

This study used a pragmatic approach comprising a series of methods to identify the implementation strategies: (i) Barriers and facilitators were explored using a qualitative study design. Twenty-one HCPs selected using the maximum variation sampling technique from a large tertiary hospital, completed semistructured interviews. All the interviews were recorded, transcribed word-by-word, and uploaded into NVivo for analysis using the thematic analysis approach. (ii) After analysis, nine participants were selecteded to determine the priority order of the barriers using a barrier identification and mitigation tool.

RESULTS

The data analysis revealed five main themes and 19 subthemes that affected ventilator bundle implementation. The main themes were provider-related factors, organisational and practice-related factors, performances of work, environmental conditions, and patient-related factors. The common barriers were job insecurity, poor knowledge, negative attitude, insufficient equipment, and severity of patient disease. Common facilitators were educational training, equipment functioning, adequate staff, strong leadership, and organisational support. Finally, eight main barriers were prioritised to target the change.

CONCLUSION

The barriers to implementing ventilator bundles in ICUs were identified. Focussing on addressing the prioritised barriers may aid in improving patient care and safety in ICUs. Results may guide HCPs in the development of implementation strategies to reduce the burden of VAP.

A prospective surveillance study of healthcare-associated infections in an intensive care unit from a tertiary care teaching hospital from 2012-2019

Healthcare-associated infections (HAIs) continue to be the most common adverse event affecting critically ill inpatients in intensive care units (ICUs). Limited data exist in the English literature on the epidemiology of HAIs in ICUs from China. The purpose of this prospective study was to understand the prevalence and trends of HAIs in the ICU to guide clinicians to take effective prevention and control measures. In total, 20 ICU beds in the hospital from January 2012 to December 2019 were selected for surveillance. HAI diagnosis and device-associated infection surveillance were based on the criteria set forth by the original Ministry of Health of the People's Republic of China. The full-time staff for HAI management monitored all patients who stayed in the ICU > 48 hours during the study period and calculated the device utilization ratio and device-associated infection rate. The rate of HAIs and the adjusted rate were 18.78 per 1000 patient-days and 5.17 per 1000 patient-days, respectively. The rates of ventilator-associated pneumonias, catheter-associated urinary tract infections, and central line-associated bloodstream infections were 22.68 per 1000 device-days, 2.40 per 1000 device-days, and 2.27 per 1000 device-days, respectively. A total of 731 pathogenic bacteria were detected in the patients with HAIs. Gram-negative and gram-positive bacteria accounted for 67.44% and 16.83%, respectively. Continuous target monitoring, regular analysis of high-risk factors, and timely intervention measures could effectively reduce HAIs in the ICU. Additionally, these findings could be used for developing new strategies to prevent and control HAIs in ICUs.

Epidemiology and Risk Factors of Healthcare-Associated Infections in Critically Ill Patients in a Tertiary Care Teaching Hospital in Nepal: A Prospective Cohort Study

Background:

Healthcare-associated infection (HAI) is an important public health problem, particularly in intensive care units (ICUs). We aimed to examine the epidemiology and risk factors of HAIs in our ICUs and study their microbiological profile.

Methods:

We evaluated 100 consecutive patients in 3 medical and surgical ICUs of a tertiary care teaching hospital daily starting in January 2016 using the Centers for Disease Control and Prevention definitions and methods. We determined the incidence and sites of HAIs, identified the causative microorganism, and studied their antibiotic sensitivity profiles. We investigated risk factors for the development of an HAI using a multiple logistic regression model.

Results:

Of 300 patients, 129 patients (43%) developed HAIs (55.96 HAI events per 1000 ICU-days). Pneumonia was the most common type of HAI (57, 41%). Escherichia coli was the most frequently isolated microorganism (20, 29%) and 74% of the pathogens isolated were multi-drug resistant. The presence of an invasive device (Odds Ratio, 4.29; 95% Confidence Interval, 2.52-7.51) and use of sedation (Odds Ratio, 2.24; 95% Confidence Interval, 1.31-3.87) were the statistically significant risk factors for HAIs.

Conclusions:

We found a high incidence of HAIs in our ICUs and a high burden of multidrug-resistant microorganisms highlighting the importance of infection control and antibiotic stewardship.

Incidence of healthcare-associated infections with invasive devices and surgical procedures in Nepal

SETTING

Dhulikhel Hospital, Kathmandu University Hospital, Kathmandu, Nepal.

OBJECTIVES

1) To report the incidence of health-care-associated infections (HAIs), 2) to compare demographic, clinical characteristics and hospital outcomes in those with and without HAIs; and 3) to verify bacterial types in HAI and community-acquired infections (CAIs) among inpatients with invasive devices and/or surgical procedures.

DESIGN

This was a cohort study using secondary data (December 2017 to April 2018).

RESULTS

Of 1,310 inpatients, 908 (69.3%) had surgical procedures, 125 (9.5%) had invasive devices and 277 (21.1%) both. Sixty-six developed HAIs (incidence = 5/100 patient admissions, 95% CI 3.9-6.3). Individuals with HAIs had a 5.5-fold higher risk of longer hospital stays (⩾7 days) and a 6.9-fold risk of being in intensive care compared to the surgical ward. Unfavourable hospital exit outcomes were higher in those with HAIs (4.5%) than in those without (0.9%, P = 0.02). The most common HAI bacteria (n = 70) were Escherichia coli (44.3%), Enterococcus spp. (22.9%) and Klebsiella spp. (11.4%). Of 98 CAIs with 41 isolates, E. coli (36.6%), Staphylococcus aureus (22.0%) and methicillin-resistant S. aureus (14.6%) were common.

CONCLUSION

We found relatively low incidence of HAIs, which reflects good infection prevention and control standards. This study serves as a baseline for future monitoring and action.

Surveillance strategies using routine microbiology for antimicrobial resistance in low- and middle-income countries

BACKGROUND

Routine microbiology results are a valuable source of antimicrobial resistance (AMR) surveillance data in low- and middle-income countries (LMICs) as well as in high-income countries. Different approaches and strategies are used to generate AMR surveillance data.

OBJECTIVES

We aimed to review strategies for AMR surveillance using routine microbiology results in LMICs and to highlight areas that need support to generate high-quality AMR data.

SOURCES

We searched PubMed for papers that used routine microbiology to describe the epidemiology of AMR and drug-resistant infections in LMICs. We also included papers that, from our perspective, were critical in highlighting the biases and challenges or employed specific strategies to overcome these in reporting AMR surveillance in LMICs.

CONTENT

Topics covered included strategies of identifying AMR cases (including case-finding based on isolates from routine diagnostic specimens and case-based surveillance of clinical syndromes), of collecting data (including cohort, point-prevalence survey, and case-control), of sampling AMR cases (including lot quality assurance surveys), and of processing and analysing data for AMR surveillance in LMICs.

IMPLICATIONS

The various AMR surveillance strategies warrant a thorough understanding of their limitations and potential biases to ensure maximum utilization and interpretation of local routine microbiology data across time and space. For instance, surveillance using case-finding based on results from clinical diagnostic specimens is relatively easy to implement and sustain in LMIC settings, but the estimates of incidence and proportion of AMR is at risk of biases due to underuse of microbiology. Case-based surveillance of clinical syndromes generates informative statistics that can be translated to clinical practices but needs financial and technical support as well as locally tailored trainings to sustain. Innovative AMR surveillance strategies that can easily be implemented and sustained with minimal costs will be useful for improving AMR data availability and quality in LMICs.

Ventilator-associated pneumonia among ICU patients in WHO Southeast Asian region: A systematic review

Ventilator-associated pneumonia (VAP) is one of the most frequent ICU-acquired infections and a leading cause of death among patients in Intensive Care Unit (ICU). The South East Asian Region is a part of the world with limited health resources where infectious diseases are still underestimated. We aimed to review the literature in this part of the world to describe incidence, mortality and microbiological evidence of VAP and explore preventive and control strategies. We selected 24 peer-reviewed articles published from January 1, 2000 to September 1, 2020 from electronic databases and manual searching for observational studies among adult patients diagnosed with VAP expressed per thousand days admitted in ICU. The VAP rates ranged from 2.13 to 116 per thousand days, varying among different countries of this region. A significant rate of mortality was observed in 13 studies ranging from 16.2% to 74.1%. Gram negative organisms like Acinetobacter spp., Pseudomonas aeruginosa and Klebsiella pneumoniae and Gram-positive organisms like Staphylococcus aureus and Enterococcus species were frequently found. Our findings suggest an alarming situation of VAP among patients of most of the countries of this region with increasing incidence, mortality and antibiotic resistance. Thus, there is an urgent need for cost effective control and preventive measures like interventional studies and educational programs on staff training, hand hygiene, awareness on antibiotic resistance, implementation of antibiotic stewardship programs and appropriate use of ventilator bundle approach.

Antimicrobial Resistance Surveillance in Low- and Middle-Income Countries: Progress and Challenges in Eight South Asian and Southeast Asian Countries

Antimicrobial resistance (AMR) is a serious global health threat and is predicted to cause significant health and economic impacts, particularly in low- and middle-income countries (LMICs). AMR surveillance is critical in LMICs due to high burden of bacterial infections; however, conducting AMR surveillance in resource-limited settings is constrained by poorly functioning health systems, scarce financial resources, and lack of skilled personnel. In 2015, the United Nations World Health Assembly endorsed the World Health Organization's Global Action Plan to tackle AMR; thus, several countries are striving to improve their AMR surveillance capacity, including making significant investments and establishing and expanding surveillance networks. Initial data generated from AMR surveillance networks in LMICs suggest the high prevalence of resistance, but these data exhibit several shortcomings, such as a lack of representativeness, lack of standardized laboratory practices, and underutilization of microbiology services. Despite significant progress, AMR surveillance networks in LMICs face several challenges in expansion and sustainability due to limited financial resources and technical capacity. This review summarizes the existing health infrastructure affecting the establishment of AMR surveillance programs, the burden of bacterial infections demonstrating the need for AMR surveillance, and current progress and challenges in AMR surveillance efforts in eight South and Southeast Asian countries.

Education to prevent ventilator-associated pneumonia in intensive care unit

OBJECTIVE

to evaluate nursing adherence to the Ventilator-Associated Pneumonia Prevention Bundle and the incidence rate, before and after Continuing education.

METHODS

a quasi-experimental, retrospective study with a total of 302 patients on mechanical ventilator admitted to the Intensive Care Unit. Data obtained from the application of the bundle, from June 2017 to June 2018. In December 2017, a training on the infection was carried out with 48 professionals.

RESULTS

the mean age of patients was 62.39±17.06 years old. Appropriate measures before and after training, respectively: position of the ventilator filter 94.8% and 96.2%, p=0.074; elevated headboard 88.4% and 94.5%, p<0.001; oral hygiene with chlorhexidine 89.5% and 98.2%, p<0.001; teeth brushing 80.8% and 96.4%, p<0.001; and cuff pressure 92.7% and 95.6%, p=0.002. Incidence density was 7.99 for 4.28 infections/1000 ventilators per day.

CONCLUSION

the bundle application and education made it possible to increase adherence and decrease infection.

The clinical and epidemiological risk factors of infections due to multi-drug resistant bacteria in an adult intensive care unit of University Hospital Center in Marrakesh-Morocco

BACKGROUND

Intensive care units (ICUs) are considered epicenters of antibiotic resistance. The aim of this study is to determine clinical risk factors, epidemiology and the causative agents of multi-drug resistant bacteria in the ICU of the University Hospital in Marrakesh-Morocco.

METHODS

A one year case control study was carried out in our 10-bed clinical and surgical ICU from March 2015 to March 2016. The epidemiological surveillance was done by collecting data in the medical records with the help of a questionnaire. The antibiotic susceptibility testing was used following the recommendations of the Antibiogram Committee of the French Society of Microbiology and the European Committee for Antimicrobial Susceptibility Testing, 2015.

RESULTS

Among the 479 admitted patients, 305 bacteria were isolated and identified as Acinetobacter baumannii (31%), Enterobactereacae species (30%), and Staphylococcus (24%), P. aeruginosa (10%) and other bacterial strains (5%). The rate of MDR bacteria acquisition was 41% (124/305) with domination of A. baumannii resistant to imipenem (70%) and followed by Extended Spectrum β-lactamases producing Enterobacteriaceae, P. aeruginosa resistant to Ceftazidime, and Methicillin-resistant S. aureus (18%, 7%, and 5% respectively). The distribution of the common nosocomial infections were dominated by pneumonia, bacteremia, and catheter-related blood stream infections (39%, 29%, and 17%) respectively. Multivariate analysis identified lack of patient isolation precautions (OR: 7.500), use of quadri or triple therapy (OR: 5.596; OR: 5.175), and mechanical ventilation (OR: 4.926), as the most significant clinical and epidemiological factors associated with acquisition of MDR bacteria. The attributable mortality, in this ICU, of patients with MDR bacteria, is about 12%.

CONCLUSIONS

The incidence of MDR was higher compared with that of developed countries. The implementation of standard infection control protocols, active surveillance of MDR and generation of data on etiological agents and their antimicrobial susceptibility patterns are urgently needed in our hospital.

Epidemiology of pathogens and antimicrobial resistanceof catheter-associated urinary tract infections in intensivecare units: A systematic review and meta-analysis

BACKGROUND

In the intensive care unit (ICU), catheter-associated urinary tract infection (CAUTI) is the most common urinary tract infection. Nevertheless, there is no systematic review to investigate the epidemiology of pathogens and antimicrobial resistance of CAUTIs in ICUs.

METHODS

Eight electronic databases were searched for eligible studies. A meta-analysis was performed to calculate the CAUTI incidence per 1,000 catheter days, the proportion of pathogen distribution, and the resistance rate with R3.3.2 software.

RESULTS

Seventy-five studies were included. The total weighted CAUTI incidence per 1,000 catheter days was 7.78. Gram-negative bacteria (47.46%), fungi (27.81%), and gram-positive bacteria (19.06%) were isolated. Candida spp (27.4%), Escherichia spp (23.41%), and Enterococcus spp (15.0%) were the most frequent pathogens. Candida albicans, Candida tropicalis, and Candida glabrata were generally resistant to itraconazole, with resistance rates of 42.5%, 53.0%, and 59.7%, respectively. Escherichia spp displayed high rates of resistance to ampicillin (87.3%), ciprofloxacin (71.7%), and norfloxacin (71.2%). Enterococcus spp showed high rates of resistance to erythromycin (83.9%), penicillin (76.7%), and levofloxacin (73.8%).

CONCLUSIONS

In ICUs, the CAUTI incidence per 1,000 catheter days is high. CAUTIs were mainly caused by gram-negative bacteria that were resistant to common antibiotics. There is a pressing demand for future research into CAUTI, including effective prevention, an understanding of antimicrobial resistance mechanisms, and development of new antibiotics for patient safety.

Investigation on Risk Factors of Ventilator-Associated Pneumonia in Acute Cerebral Hemorrhage Patients in Intensive Care Unit

Ventilator-associated pneumonia (VAP) is a predominant factor of pulmonary infection. We analyzed the risk factors of VAP with acute cerebral hemorrhage in intensive care unit (ICU) by univariate and multivariate logistic regression analyses. After comparison of 197 cases of the VAP and non-VAP patients, we found that age > 65 years (P = 0.003), smoke (P = 0.003), coronary heart disease (P = 0.005), diabetes (P = 0.001), chronic obstructive pulmonary disease (COPD) (P = 0.002), ICU and hospital stay (P = 0.01), and days on mechanical ventilation (P = 0.01) were significantly different, indicating that they are risk factors of VAP. All the age > 65 years (OR = 3.350, 95% CI = 1.936–5.796, P ≤ 0.001), smoke (OR = 3.206, 95% CI = 1.909–5.385, P ≤ 0.001), coronary heart disease (OR = 3.179, 95% CI = 1.015–4.130, P = 0.017), diabetes (OR = 5.042, 95% CI = 3.518–7.342, P ≤ 0.001), COPD (OR = 1.942, 95% CI = 1.258–2.843, P = 0.012), ICU and hospital stay (OR = 2.34, 95% CI = 1.145–3.892, P = 0.038), and days on mechanical ventilation (OR = 1.992, 95% CI = 1.107–3.287, P = 0.007) are independent risk factors of VAP. After observation of patients with 6 months of follow-up, the BI score was significantly lower in VAP than that in non-VAP, and the rebleeding rate and mortality rate were significantly higher in VAP than those in non-VAP. Thus, the prognosis of the patients with acute cerebral hemorrhage and VAP in ICU is poor.