A review of -multidrug-resistant Enterobacteriaceae in a neonatal unit in Johannesburg, South Africa

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Study Justification:
– Multi-drug resistant organisms are a growing concern in neonatal sepsis.
– Understanding the prevalence and risk factors of multi-drug resistant Enterobacteriaceae (MDRE) in neonates is crucial for effective management and prevention.
– This study aimed to review neonatal sepsis caused by MDRE in Johannesburg, South Africa, to provide valuable insights for healthcare professionals and policymakers.
Study Highlights:
– The study included 465 infections in 291 neonates, with a majority being very low birth weight (

Background: Multi-drug resistant organisms are an increasingly important cause of neonatal sepsis. Aim: This study aimed to review neonatal sepsis caused by multi-drug resistant Enterobacteriaceae (MDRE) in neonates in Johannesburg, South Africa. Methods: This was a cross sectional retrospective review of MDRE in neonates admitted to a tertiary neonatal unit between 1 January 2013 and 31 December 2015. Results: There were 465 infections in 291 neonates. 68.6% were very low birth weight (< 1500 g). The median age of infection was 14.0 days. Risk factors for MDRE included prematurity (p = 0.01), lower birth weight (p = 0.04), maternal HIV infection (p = 0.02) and oxygen on day 28 (p < 0.001). The most common isolate was Klebsiella pneumoniae (66.2%). Total MDRE isolates increased from 0.39 per 1000 neonatal admissions in 2013 to 1.4 per 1000 neonatal admissions in 2015 (p < 0.001). There was an increase in carbapenem-resistant Enterobacteriaceae (CRE) from 2.6% in 2013 to 8.9% in 2015 (p = 0.06). Most of the CRE were New Delhi metallo – β lactamase- (NDM) producers. The all-cause mortality rate was 33.3%. Birth weight (p = 0.003), necrotising enterocolitis (p < 0.001) and mechanical ventilation (p = 0.007) were significantly associated with mortality. Serratia marcescens was isolated in 55.2% of neonates that died. Conclusions: There was a significant increase in MDRE in neonatal sepsis during the study period, with the emergence of CRE. This confirms the urgent need to intensify antimicrobial stewardship efforts and address infection control and prevention in neonatal units in LMICs. Overuse of broad- spectrum antibiotics should be prevented.

This is a retrospective descriptive cross-sectional study. All newborn neonates admitted to the neonatal unit between 01 January 2013 and 31 December 2015 were eligible for inclusion. The study group included all neonates with culture proven blood stream infection (BSI) caused by MDRE. A control group of 30% of all neonates without infection admitted to the neonatal unit during the study period was randomly generated from the neonatal database using SPSS IBM 24. Subjects were identified through the laboratory information system of the National Health Laboratory Service (NHLS). Patient characteristics were obtained from the neonatal computer database. Information was obtained from hospital records on discharge of each neonatal patient and was entered into a computerised database for the purpose of quality control. Data was managed using Research Electronic Data Capture (REDCAP), hosted by the University of the Witwatersrand [9]. Maternal information, demographic and clinical characteristics, as well as survival to hospital discharge, were described for each patient. Causative organisms and their antimicrobial sensitivity patterns were described. Organism identification and antimicrobial susceptibility testing was done on the Vitek 2® (bioMerieux, Marcy-I’Etoile, France). Vitek 2 breakpoint interpretation was based on the Clinical and Laboratory Standards Institute (CLSI) guidelines. Isolates were characterised as CRE based on carbapenem Etest® (bioMerieux, Marcy-I’Etoile, France) minimum inhibitory concentration (MIC) testing. Colistin broth micro-dilution testing was not performed and hence colistin susceptibility rates cannot be reported for all isolates. Multiplex PCR for the carbapenemase genes (for blaNDM, blaKPC, blaOXA-48 and its variants, blaGES, blaIMP and blaVIM; LightMix Modular kits, Roche Diagnostics, Basel, Switzerland) was performed on a subset of the CRE isolates. Typing of isolates was not performed. IBM SPSS 24 was used to analyse the data.. Maternal and neonatal characteristics were described for each patient (not bacterial isolate). Microbiological information (resistance patterns, isolates over time) was analysed for each bacterial isolate. Mean and standard deviation or median and range, were used to describe central tendency in continuous variables, depending on the distribution of the data. Categorical variables were described using frequency and percentages. Only valid cases were analysed for each variable (i.e. missing cases were excluded). Two comparisons were performed. Firstly, survivors and non- survivors within the MDRE group were compared to determine risk factors for mortality. Secondly, the MDRE group and control group were compared to establish associations with MDRE infection. Frequencies were compared using Chi Square analysis, while unpaired t tests were used to compare continuous variables, as the data was normally distributed. A p value of 0.05 was considered to be statistically significant. Adjusted odds ratios were determined through binary logistic regression for significant associations with mortality and MDRE infection respectively. Ethics clearance was obtained from the Human Research Ethics Committee of the University of the Witwatersrand (Certificate M 151108). Permission was obtained to access the Laboratory information system from the NHLS. Early-onset sepsis (EOS) was defined as culture proven sepsis within the first 72 h of life, while late onset sepsis (LOS) was referred to as culture proven sepsis after 72 h of life [1]. Multidrug resistance was defined as the isolate being non-susceptible to ≥1 agent in ≥3 antimicrobial categories [10]. The presence of resistance to third generation cephalosporins was used as a marker for ESBL production. The presence of cefoxitin resistance was used as a marker for Amp C beta-lactamase production. Necrotising enterocolitis (NEC) was defined as modified Bell’s stages 2 or 3 [11]. Resuscitation at birth was defined as the need for bag mask ventilation. “Outborn” referred to all neonates born outside the study hospital. Very low birth weight indicated neonates with a birth weight below 1500 g. Mortality was defined as all-cause mortality during hospitalization.

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Based on the provided information, here are some potential innovations that could improve access to maternal health:

1. Antimicrobial Stewardship Programs: Implementing comprehensive antimicrobial stewardship programs in neonatal units can help prevent the overuse of broad-spectrum antibiotics, which can contribute to the emergence of multi-drug resistant organisms. These programs involve monitoring antibiotic use, educating healthcare providers on appropriate antibiotic prescribing, and implementing guidelines for antibiotic use.

2. Infection Control and Prevention Measures: Strengthening infection control and prevention measures in neonatal units can help reduce the spread of multi-drug resistant organisms. This can include strict hand hygiene practices, proper disinfection of equipment and surfaces, and implementing isolation protocols for infected neonates.

3. Neonatal Screening for MDRE: Implementing routine screening for multi-drug resistant organisms in neonates can help identify infections early and initiate appropriate treatment. This can involve collecting samples from neonates upon admission and using rapid diagnostic tests to detect MDRE.

4. Improved Neonatal Care in LMICs: Enhancing neonatal care in low- and middle-income countries (LMICs) can help reduce the risk of neonatal sepsis caused by multi-drug resistant organisms. This can include improving access to quality healthcare facilities, training healthcare providers on neonatal care practices, and ensuring availability of essential resources and medications.

5. Research and Development of New Antibiotics: Investing in research and development of new antibiotics that are effective against multi-drug resistant organisms can help address the growing problem of antibiotic resistance. This can involve supporting pharmaceutical companies and researchers in developing new antimicrobial agents.

It is important to note that these recommendations are general and may need to be tailored to the specific context and resources available in Johannesburg, South Africa.
AI Innovations Description
Based on the provided information, the recommendation to improve access to maternal health would be to implement and strengthen antimicrobial stewardship efforts and infection control and prevention measures in neonatal units in low- and middle-income countries (LMICs). This is based on the findings of the study, which showed a significant increase in multi-drug resistant Enterobacteriaceae (MDRE) infections in neonates, including carbapenem-resistant Enterobacteriaceae (CRE).

To address this issue, the following actions can be taken:

1. Antimicrobial Stewardship: Develop and implement guidelines for appropriate antibiotic use in neonatal units, including protocols for antibiotic selection, dosing, and duration of treatment. This can help prevent the overuse of broad-spectrum antibiotics and reduce the development of antibiotic resistance.

2. Infection Control and Prevention: Strengthen infection control measures in neonatal units, including hand hygiene practices, proper disinfection of equipment, and adherence to standard precautions. This can help prevent the spread of MDRE and other healthcare-associated infections.

3. Surveillance and Monitoring: Establish a surveillance system to monitor the prevalence and trends of MDRE infections in neonatal units. This can help identify outbreaks and guide targeted interventions.

4. Education and Training: Provide training to healthcare workers on antimicrobial stewardship, infection control practices, and proper use of antibiotics. This can help improve knowledge and awareness among healthcare providers, leading to better adherence to guidelines.

5. Collaboration and Partnerships: Foster collaboration between healthcare facilities, government agencies, and international organizations to share best practices, resources, and expertise in addressing MDRE infections in neonatal units. This can help leverage collective efforts and resources to improve access to maternal health.

By implementing these recommendations, it is possible to reduce the burden of MDRE infections in neonatal units and improve access to maternal health by ensuring safer and more effective care for newborns.
AI Innovations Methodology
Based on the provided information, it seems that the request for innovations to improve access to maternal health is not directly related to the content of the description. However, I can provide a general methodology to simulate the impact of recommendations on improving access to maternal health:

1. Define the objectives: Clearly state the specific goals and outcomes that the recommendations aim to achieve in terms of improving access to maternal health.

2. Identify the recommendations: Based on the context and available resources, identify a set of recommendations that have the potential to improve access to maternal health. These recommendations could include interventions such as improving healthcare infrastructure, increasing the availability of skilled healthcare providers, implementing telemedicine solutions, enhancing transportation systems, or promoting community-based healthcare initiatives.

3. Develop a simulation model: Create a simulation model that represents the current state of maternal health access and incorporates the identified recommendations. This model should include relevant variables such as population demographics, healthcare facilities, healthcare providers, transportation networks, and other factors that influence access to maternal health.

4. Collect data: Gather data on the current state of maternal health access, including information on healthcare utilization, maternal mortality rates, healthcare infrastructure, and other relevant indicators. This data will serve as the baseline for the simulation model.

5. Implement the recommendations: Introduce the identified recommendations into the simulation model and simulate their impact on improving access to maternal health. This can be done by adjusting relevant variables and parameters in the model to reflect the implementation of the recommendations.

6. Analyze the results: Evaluate the simulation results to assess the impact of the recommendations on improving access to maternal health. This analysis can include measures such as changes in healthcare utilization, reduction in maternal mortality rates, improvements in healthcare infrastructure, or increased availability of skilled healthcare providers.

7. Refine and iterate: Based on the analysis of the simulation results, refine the recommendations and the simulation model as needed. Iterate the simulation process to further explore the potential impact of different scenarios and variations of the recommendations.

8. Communicate findings: Present the findings of the simulation study, including the impact of the recommendations on improving access to maternal health, to relevant stakeholders such as policymakers, healthcare providers, and community organizations. This communication can help inform decision-making and guide the implementation of effective strategies to improve access to maternal health.

It’s important to note that the methodology described above is a general framework and the specific details and steps may vary depending on the context and available resources.

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