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OBJECTIVES: We analysed 4 y of laboratory data to characterise the species and determine the antimicrobial susceptibility profiles of enterococci as human pathogens in Fiji. The study also investigated the molecular epidemiology amongst the subset of vancomycin-resistant enterococci (VRE). METHODS: This retrospective study reviewed bacteriological data from Colonial War Memorial Hospital (CWMH) and other healthcare facilities in the Central and Eastern divisions of Fiji. Phenotypic, antimicrobial susceptibility and vanA and vanB PCR testing were performed using locally approved protocols. The first clinical isolates per patient with antimicrobial susceptibility testing results in a single year were included in the analysis. Data was analysed using WHONET software and Microsoft Excel. RESULTS: A total of 1817 enterococcal isolates were reported, 1415 from CWMH and 402 from other healthcare facilities. The majority of isolates, 75% (n = 1362) were reported as undifferentiated Enterococcus spp., 17.8% (n = 324) were specifically identified as Enterococcus faecalis and 6.7% (n = 122) as E. faecium. Overall, 10% of the enterococci isolates were from blood cultures. Among isolates from CWMH, <15% of E. faecium were susceptible to ampicillin, and 17.2% were vancomycin resistant. Overall, 874 enterococcal isolates (including the undifferentiated species) were tested against vancomycin, of which 4.8% (n = 42) were resistance. All of the VRE isolates tested (n = 15) expressed vanA genes. CONCLUSIONS: This study demonstrates the clinical importance of VRE, particularly van A E. faecium in the national referral hospital in Fiji. Enhanced phenotypic and molecular surveillance data are needed to better understand enterococci epidemiology and help guide specific infection prevention and control measures and antibiotic prescribing guidelines.
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Antibacterianos , Proteínas Bacterianas , Enterococcus , Infecciones por Bacterias Grampositivas , Pruebas de Sensibilidad Microbiana , Centros de Atención Terciaria , Humanos , Fiji/epidemiología , Centros de Atención Terciaria/estadística & datos numéricos , Estudios Retrospectivos , Infecciones por Bacterias Grampositivas/epidemiología , Infecciones por Bacterias Grampositivas/microbiología , Antibacterianos/farmacología , Proteínas Bacterianas/genética , Enterococcus/efectos de los fármacos , Enterococcus/genética , Enterococcus/aislamiento & purificación , Enterococcus/clasificación , Atención Primaria de Salud , Enterococos Resistentes a la Vancomicina/genética , Enterococos Resistentes a la Vancomicina/aislamiento & purificación , Enterococos Resistentes a la Vancomicina/efectos de los fármacos , Ligasas de Carbono-Oxígeno/genética , Enterococcus faecalis/genética , Enterococcus faecalis/efectos de los fármacos , Enterococcus faecalis/aislamiento & purificación , Epidemiología Molecular , Enterococcus faecium/genética , Enterococcus faecium/efectos de los fármacos , Enterococcus faecium/aislamiento & purificaciónRESUMEN
Background: There is a paucity of data on antimicrobial resistance in Fiji. The aim of this study was to determine the antimicrobial susceptibility profile of bacterial isolates from clinical samples at Colonial War Memorial Hospital in Fiji. Methods: This retrospective study reviewed four-year of data from January 1, 2019, through December 31, 2022. Laboratory testing was carried out using locally approved protocols. Selective antimicrobial susceptibility testing was performed whereby only isolates resistant to first line antimicrobials were tested against second line antimicrobials. Only the first isolate of a given species per patient in a single year were included in the analysis. WHONET software and Microsoft Excel were used for analysis. Findings: A total of 29,222 bacterial isolates were included, 62% (n = 18,084) were Gram-negative bacteria. K. pneumoniae was the most common (n = 5363), followed by E. coli (n = 4321). Extended spectrum beta lactamase (ESBL) production increased from 30% in 2019 to 43% in 2022 amongst K. pneumoniae, and 10%-23% in E coli. There were 733 carbapenem-resistant isolates identified from clinical samples, 61% (n = 445) were A. baumannii, 15% (n = 110) E. coli and 14% (n = 101) P. aeruginosa. Amongst the E. coli isolates tested, susceptibility to meropenem declined from 99% (272/274) in 2019 to 79% (255/325) in 2022. The rate of methicillin resistance amongst Staphylococcus aureus was steady, remaining between 11% and 13%. Interpretation: This study demonstrated a high rate of MDR amongst Gram-negative bacteria, especially ESBL producing K. pneumoniae and E. coli and carbapenem-resistant A. baumannii. The emergence and rapid spread of carbapenemase producing E. coli in Fiji's largest hospital is of particular concern. There is an urgent need to allocate resources to improve existing capacity and to develop effective multimodal strategies to detect, manage and control the spread of MDR organisms. Funding: This study was supported by the Medical Research Future Fund through the Australian government (grant number APP 1200970).
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Artificial intelligence (AI) has impacted many areas of healthcare. AI in healthcare uses machine learning, deep learning, and natural language processing to analyze copious amounts of healthcare data and yield valuable outcomes. In the sleep medicine field, a large amount of physiological data is gathered compared to other branches of medicine. This field is primed for innovations with the help of AI. A good quality of sleep is crucial for optimal health. About one billion people are estimated to have obstructive sleep apnea worldwide, but it is difficult to diagnose and treat all the people with limited resources. Sleep apnea is one of the major contributors to poor health. Most of the sleep apnea patients remain undiagnosed. Those diagnosed with sleep apnea have difficulty getting it optimally treated due to several factors, and AI can help in this situation. AI can also help in the diagnosis and management of other sleep disorders such as insomnia, hypersomnia, parasomnia, narcolepsy, shift work sleep disorders, periodic leg movement disorders, etc. In this manuscript, we aim to address three critical issues about the use of AI in sleep medicine: (1) How can AI help in diagnosing and treating sleep disorders? (2) How can AI fill the gap in the care of sleep disorders? and (3) What are the ethical and legal considerations of using AI in sleep medicine?
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Observing cataplexy episodes during an office visit is extremely rare as they are usually triggered by laughter or emotional stress. Narcolepsy usually occurs in the younger population. We report a case of a 65-year-old Caucasian female with a past medical history of obesity who developed excessive daytime sleepiness, fatigue, and sleep attacks five weeks after getting influenza and pneumococcal vaccines. The presentation of cataplexy was atypical. Several episodes of cataplexy were observed during the office visit without any emotional trigger. Further workup, including polysomnography (PSG), was positive for obstructive sleep apnea, controlled with continuous positive airway pressure (CPAP) use. Later, she had PSG with CPAP use, which optimally controlled obstructive sleep apnea, followed by multiple sleep latency tests (MSLT) with CPAP use. It was positive for narcolepsy with a mean sleep latency of 1.6 minutes with sleep onset rapid eye movement (REM) in five out of five naps. Her cerebrospinal fluid (CSF) hypocretin level was extremely low at 50 pg/ml, usually seen in narcolepsy with cataplexy. She was also positive for human leukocyte antigen (HLA) DBQ1*06:02. The diagnosis of narcolepsy with cataplexy was made, which improved with medications for narcolepsy.
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OBJECTIVES: There are scant primary clinical data on antimicrobial resistance (AMR) burden from low- and middle-income countries (LMICs). We adapted recent World Health Organization methodology to measure the effect of third-generation cephalosporin resistance (3GC-R) on mortality and excess length of hospital stay in Fiji. METHODS: We conducted a prospective cohort study of inpatients with Enterobacterales bloodstream infections (BSIs) at Colonial War Memorial Hospital, Suva. We used cause-specific Cox proportional hazards models to estimate the effect of 3GC-R on the daily risk (hazard) of in-hospital mortality and being discharged alive (competing risks), and we used multistate modelling to estimate the excess length of hospital stay. RESULTS: From July 2020 to February 2021 we identified 162 consecutive Enterobacterales BSIs; 3GC-R was present in 66 (40.7%). Crude mortality for patients with 3GC-susceptible and 3GC-R BSIs was 16.7% (16/96) and 30.3% (20/66), respectively. 3GC-R was not associated with the in-hospital mortality hazard rate (adjusted hazard ratio [aHR] 1.13, 95% confidence interval [CI] 0.51-2.53) or being discharged alive (aHR 0.99, 95% CI 0.65-1.50), whereas Charlson comorbidity index score (aHR 1.62, 95% CI 1.36-1.93) and Pitt bacteraemia score (aHR 3.57, 95% CI 1.31-9.71) were both associated with an increased hazard rate of in-hospital mortality. 3GC-R was associated with an increased length of stay of 2.6 days (95% CI 2.5-2.8). 3GC-R was more common among hospital-associated infections, but genomics did not identify clonal transmission. CONCLUSION: Patients with Enterobacterales BSIs in Fiji had high mortality. There were high rates of 3GC-R, which was associated with increased hospital length of stay but not with in-hospital mortality.
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Bacteriemia , Infección Hospitalaria , Bacteriemia/tratamiento farmacológico , Cefalosporinas , Infección Hospitalaria/tratamiento farmacológico , Fiji/epidemiología , Humanos , Tiempo de Internación , Estudios ProspectivosRESUMEN
Background: Staphylococcus aureus bacteraemia (SAB) is one of the commonest bloodstream infections globally and is associated with a high mortality rate. Most published data comes from temperate, high-income countries. We describe the clinical epidemiology, microbiology, management and outcomes of patients with SAB treated in a tropical, middle-income setting at Fiji's largest hospital. Methods: A prospective, observational study was performed of consecutive SAB cases admitted to Colonial War Memorial Hospital (CWMH) in Suva, between July 2020 and February 2021. Detailed demographic, clinical and microbiological data were collected, including the key outcome of in-patient mortality. To estimate the population incidence, all SAB cases diagnosed at the CWMH laboratory were included - even if not admitted to CWMH - with the population of Fiji's Central Division used as the denominator. Findings: A total of 176 cases of SAB were detected over eight-months, which equated to an incidence of 68.8 cases per 100,000 population per year. Of these, 95 cases were admitted to CWMH within 48 h of index culture. Approximately 8.4% (8/95) of admitted cases were caused by methicillin-resistant Staphylococcus aureus (MRSA). All cause in-patient mortality was 25.3%, increasing to 55% among patients aged 60 or older. Interpretation: This reported incidence of SAB in central Fiji is one of the highest in the world. SAB was associated with significant mortality, especially in those over 60 years of age, despite a relatively low frequency of methicillin resistance. Funding: Supported by the National Health and Medical Research Council (Australia) and the GRAM (Global Research on Antimicrobial Resistance) Project, Oxford University (United Kingdom).
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BACKGROUND: The condition known as 22q11 microdeletion syndrome has a broad phenotypic spectrum, with many affected individuals experiencing mild-to-moderate immunodeficiency. Currently, there are significant variations in live vaccine practices and immunological testing prior to live vaccine administration due to safety concerns and limited established guidelines. METHODS: Queensland Children's Hospital (QCH) Child Development Unit, offers a state-wide 22q11 microdeletion clinic. This is a retrospective single-centre review, capturing the majority of children with 22q11 microdeletion in Queensland, Australia. We describe the live vaccination status of 134 children, age 0 to 18 years under our care between 2000 and 2018, adverse events following immunisation (AEFI) and the proportion of children who received additional pneumococcal coverage. An immunological investigation pathway prior to live vaccine administration is proposed. RESULTS: Of the 134 children, 124 were eligible for live vaccinations as per the Australian National Immunisation Program: 82% had received dose one of measles, mumps and rubella (MMR) vaccine, 77% had completed MMR dose two and 66% had completed varicella immunisation. There were no AEFI notifications reported. Of the total sample of children, 18% received a fourth dose of conjugate pneumococcal vaccine (Prevenar 7 or 13) and 16% received a dose of Pneumovax 23 from 4 years of age. Immunology workup practices were demonstrated to vary widely prior to live vaccine administration. Most patients' immune profiles were consistent with mild-to-moderate immunodeficiency. CONCLUSION: We propose an immunological investigation and vaccination pathway with the aim of providing guidance and consistency to clinicians caring for children with 22q11 microdeletion.
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Heart failure (HF) is a burgeoning chronic health condition affecting more than 20million people worldwide. Patients with HF have a significant (17.1%) 30-day readmission rate, which invites substantial penalty in payment to hospitals from Centers for Medicare and Medicaid Services, as per the newly introduced Hospital Readmissions Reduction Program. Depression is one of the important risk factors for readmission in HF patients. It has a significant prevalence in patients with HF and contributes to the overall poor quality of life in them. Several behavioral (smoking, obesity, lack of exercise and medication noncompliance) and pathophysiological factors (hypercortisolism, elevated inflammatory biomarkers, fibrinogen, and atherosclerosis) have been found responsible for the adverse outcome in patients with HF and concomitant depression. Hippocampal volume loss noted in patients with acute HF exacerbations may contribute to the development of depressive symptoms in them. Screening for depression in HF patients continues to be challenging due to a considerable overlap in symptoms. Published trials on the use of antidepressants and cognitive behavioral therapy (CBT) have shown variable outcomes. Newer modalities like internet-based CBT have been tried in small studies, with promising results. A recent meta-analysis observed the beneficial role of aerobic exercise training in patients with HFrEF. Future long-term prospective studies may contribute to the formulation of a detailed screening and management guideline for patients with HF and depression. Our review is aimed to summarize the intricate relationship between depression and heart failure, with respect to their epidemiology, pathophysiological aspects, and optimal management approach.