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Tickell, K. D.

Publications and source records attributed to Tickell, K. D..

2 recordsLinked to original sources

Biological landscape of acute illness in children in sub-Saharan Africa and South Asia

Childhood illnesses including pneumonia, diarrhoea and malaria are leading causes of hospitalisation and mortality in resource-limited settings. However, we lack understanding of whether systemic responses to such diverse clinical syndromes are shared or specific, how they are impacted by malnutrition and how they differ from well children. We performed multi-omic profiling of plasma proteins, and serum metabolites and lipids in acutely ill hospitalised and well children in sub-Saharan Africa and South Asia. Using network-based clustering and mixed-effects modelling, we identified common and syndrome-specific omics responses to acute illness. We found that malnutrition often modifies host responses to disease. Although the internal structure of individual omics modules was largely preserved between ill and well children, the interactions between these preserved modules were markedly reorganised during acute illness. Compared to well children, biological systems in hospitalised children were more interconnected, exhibiting denser cross-omics interactions. These findings reveal widespread multisystem mobilisation during paediatric acute illness, offer deeper mechanistic insights and highlight candidate pathways for therapeutic intervention in high-burden settings.

systems biology↗

Antimicrobial Resistance Profiles of Bacterial Contaminants from a Tertiary Hospital in Kenya: An Urgent Call for Action Against the Global Threat of Antimicrobial Resistance.

BackgroundHospital-acquired infections (HAIs) represent the most prevalent adverse event among patients in hospital settings. Contamination with pathogenic bacteria that are highly resistant in the hospital environment increases the risk of HAIs. ObjectiveThe antimicrobial resistance (AMR) patterns of hospital contaminants isolated from highly frequented surfaces in a tertiary hospital in Kenya. MethodsA total of 62 swabs were collected from selected surfaces, equipment, and health workers palms in April 2020. They were cultured and bacterial contaminants were identified using standard microbiological procedures and their AMR patterns were determined using recommended laboratory assays. ResultsOf the 62 swabs collected, 61.3% (n=38) yielded bacterial growth, from which 46 bacteria were isolated. Swab positivity varied across the departments as follows: gynecology wards (78.6%), New Born Unit (NBU) (56.2%), Pediatric ward (61.9%), and Renal Unit (45.5%). Gram negative species comprised 86.96%(n=40) while Gram positive species comprised 13.04%(n=6). Of all the 46 isolates obtained, 36.96% (n=17) were positive for the resistance markers screened. Specifically, 10.9% (n=5) showed both extended-spectrum beta-lactamases (ESBL) and carbapenem-resistant (CR) resistance, while 23.9%(n=11) were positive for ESBL production. The rest were non-resistant strains as shown by negative ESBL at 47.8% (n=22), methicillin sensitivity at 13% (n=6) and vancomycin sensitivity at 2.2% (n=1). Acinetobacter species which were most reported, had the highest resistance (36.84% (7/19). ConclusionThere was a high prevalence of contamination with resistant pathogenic bacteria species. Acinetobacter species were the most common pathogen. Interventions are needed to mitigate the problem of resistant HAI.

microbiology↗