Prevalencia de &amp;#946;-lactamasas de espectro extendido en enterobacterias causantes de sepsis neonatal y factores asociados

Lona-Reyes, Juan Carlos; Pérez-Ramírez, René Oswaldo; Rodríguez-Patiño, Virginia; Cordero-Zamora, Araceli; Gómez-Ruiz, Larissa María; Llamas-Ramos, Leonardo

doi:10.4067/s0716-10182019000400433

Cited by 6 publications

(4 citation statements)

References 22 publications

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“…Several risk factors of neonatal sepsis are reported in previous studies, which include: perinatal asphyxia, APGAR score, prolonged rupture of membranes, and pre-existing maternal infection. 4 , 5 …”

Section: Introductionmentioning

confidence: 99%

“…3 Several risk factors of neonatal sepsis are reported in previous studies, which include: perinatal asphyxia, APGAR score, prolonged rupture of membranes, and pre-existing maternal infection. 4,5 Ethiopia ranks among the top ten countries in neonatal morbidity and mortality, with over 100 000 newborn deaths each year. The neonatal mortality rate (NMR) in Ethiopia 2 Clinical Medicine Insights: Pediatrics was 29 per 1000 live births according to 2016 Ethiopian Demographic Health Survey (EDHS).…”

Section: Introductionmentioning

confidence: 99%

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Neonatal Sepsis and Associated Factors Among Neonates Admitted to Neonatal Intensive Care Unit in General Hospitals, Eastern Ethiopia 2020

Roble

Ayehubizu

Olad

2022

Clin Med Insights Pediatr

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Introduction: Globally, the major cause of neonatal mortality and morbidity is neonatal sepsis, which is defined as a clinical course marked by systemic inflammation in the presence of infection in a newborn. There are limited data concerning neonatal sepsis in eastern Ethiopia. As a result, this study aimed to determine the prevalence of neonatal sepsis and associated factors among neonates admitted to intensive care units at general hospitals in Eastern Ethiopia. Methods: A hospital-based cross-sectional study with retrospective document review was conducted among newborns hospitalized in neonatal intensive care units. Using simple random sampling, the charts of 356 newborns who were hospitalized between January and December 2019 were included, and data were collected using a pretested checklist. Data were entered into Epi data version 3.1 and analyzed with SPSS version 22. Results: The overall prevalence of neonatal sepsis was 45.8% (95% CI 40.7, 51.4). Prolonged rupture of the membrane (AOR = 2.38, 95% CI: [1.27-4.45]), vaginal delivery (AOR = 1.78, 95%, CI: [1.09, 2.96]) APGAR score <7 (AOR = 4.55, 95% CI: [2.49-8.29]), prelacteal feeding (AOR = 3.54, 95% CI: [1.68-8.23]), and mechanical ventilation (AOR = 4.97,95%CI: [2.78-8.89]) were predictors associated with neonatal sepsis. Conclusion: In this study, the prevalence of neonatal sepsis was high, and factors associated with neonatal sepsis included prolonged rupture of membrane, mode of delivery, low APGAR score, prelacteal feeding and mechanical ventilation. As a result, maternal and neonatal care should be enhanced to lower the risk of neonatal sepsis.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Neonatal Sepsis and Associated Factors Among Neonates Admitted to Neonatal Intensive Care Unit in General Hospitals, Eastern Ethiopia 2020

Roble

Ayehubizu

Olad

2022

Clin Med Insights Pediatr

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“…Moreover, 22.9% of Enterobacter spp. responsible for NS are extended-spectrum beta-lactamase-producing bacteria [20]. Extended-spectrum beta-lactamase-producing multidrug-resistant E. coli have emerged as the main pathogens responsible for early NS, particularly in premature infants [21].…”

Section: Fig 3 Cluster Heat Map Bacterial Abundance At the Genus Levelmentioning

confidence: 99%

Identification of novel bacterial species in the blood of patients with neonatal sepsis

Wu,

Gong,

Wang

et al. 2024

Egypt Pediatric Association Gaz

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Background The clinical diagnosis of neonatal sepsis remains difficult because of various challenges, such as culturing the bacteria and avoiding contamination. Therefore, this study aimed to identify bacterial pathogens in patients with clinically diagnosed neonatal sepsis by next-generation sequencing (NGS). Methods High-throughput NGS and traditional culture identification were performed by comparing samples from newborns with neonatal sepsis with healthy control infants. All blood samples were separately inoculated into anaerobic and aerobic bottles and incubated for 7 days at 37 °C, the positive specimens were then identified. Novel bacteria identified through high-throughput NGS were analysed using polymerase chain reaction (PCR), PCR products were verified by Sanger sequencing. Wilcoxon rank-sum and chi-square tests were performed to assess the significance of differences in species abundance between groups. Subjects were clinically diagnosed and hospitalized at the Pediatrics Department of Shenzhen Seventh People’s Hospital and Pediatrics Department of the Longhua Branch of Shenzhen People’s Hospital. Experiments were performed at the Shenzhen Seventh People’s Hospital. The experimental group comprised 45 newborns clinically diagnosed with neonatal sepsis (age: 0–28 days; 28 males, 17 females). Fifteen normal newborns aged 0–28 days (7 males, 8 females) were included as the control group. Results High-throughput NGS showed a positivity rate of 44% (20/45) for bacteria in patients clinically diagnosed with neonatal sepsis, whereas traditional bacterial culture identification showed a positivity rate of 0% (0/45). The four main bacterial species identified were Anoxybacillus kestanbolensis, Geobacillus vulcani, Klebsiella oxytoca, and Acinetobacter guillouiae. Conclusions A. kestanbolensis, G. vulcani, K. oxytoca, and A. guillouiae, newly discovered bacteria in patients with neonatal sepsis, were identified with high-throughput NGS. Which may result from maternal intrauterine infection or birth-canal infection and have a high clinical-cure rate. Owing to a lack of methods to culture these bacteria, their role in neonatal sepsis remains unclear. A definite diagnosis cannot rely solely on bacterial culture identification for patients with a suspected diagnosis and clinical diagnosis of neonatal sepsis and should involve other effective diagnostic techniques.

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“…Food and companion animals being the reservoir of ESBL or ACBL producers can put people in contact with them or consumers at significant risk. Due to abysmal public health infrastructure and poor hygiene, LMICs are overburdened with neonatal sepsis and healthcare-associated infections (73), with a heavy load of such drug-resistant pathogens in hospitals and communities (74). About 22% of healthy humans from Southeast Asia were found to harbor ESBLproducing bacteria in their gut-which is much higher than the global average (14%) (75).…”

Section: Cephalosporin Resistant Bacteriamentioning

confidence: 99%

Antimicrobial Resistance in Agri-Food Chain and Companion Animals as a Re-emerging Menace in Post-COVID Epoch: Low-and Middle-Income Countries Perspective and Mitigation Strategies

Bandyopadhyay

Samanta

2020

Front. Vet. Sci.

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Antimicrobial resistance (AMR) leads to enormous financial losses from issues such as high morbidity, mortality, man-days lost, hospital length of stay, health-care, and social costs. In humans, over prescription of antimicrobials, which is presumably higher during COVID, has been identified as the major source of selection for antimicrobial resistant bacteria; however, use of antimicrobials in food and companion animals, fish, and vegetables, and the environmental resistance gene pool, also play important roles. The possibilities of unnecessary use of antibiotics as prophylaxis during and after COVID in livestock and companion animals exist in low-and middle-income countries. A considerable loss in gross domestic product (GDP) is also projected in low-and middle-income countries (LMICs) due to AMR by the year 2050, which is further going to be reduced due to economic slowdown in the post-COVID period. Veterinary hospitals dedicated to pets have cropped up, especially in urban areas of LMICs where use of antimicrobials has also been increased substantially. The inevitable preventive habit built up during COVID with the frequent use of hand sanitizer might trigger AMR due to the presence of cross-resistance with disinfectants. In LMICs, due to the rising demand for animal protein, industrial food animal production (IFAP) is slowly replacing the small-scale backyard farming system. The lack of stringent regulations and monitoring increased the non-therapeutic use of antimicrobials in industrial farms where the persistence of antimicrobial resistant bacteria has been associated with several factors other than antimicrobial use, such as co-resistance, cross-resistance, bacterial fitness, mixing of new and old animals, and vectors or reservoirs of bacterial infection. The present review describes types of antimicrobials used in agri-food chains and companion animals in LMICs with identification of the gap in data, updated categories of prevalent antimicrobial resistant bacteria, the role of animal farms as reservoirs of resistant bacteria, and mitigation strategies, with a special focus on the pivotal strategy needed in the post-COVID period.

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Prevalencia de β-lactamasas de espectro extendido en enterobacterias causantes de sepsis neonatal y factores asociados

Cited by 6 publications

References 22 publications

Neonatal Sepsis and Associated Factors Among Neonates Admitted to Neonatal Intensive Care Unit in General Hospitals, Eastern Ethiopia 2020

Neonatal Sepsis and Associated Factors Among Neonates Admitted to Neonatal Intensive Care Unit in General Hospitals, Eastern Ethiopia 2020

Identification of novel bacterial species in the blood of patients with neonatal sepsis

Antimicrobial Resistance in Agri-Food Chain and Companion Animals as a Re-emerging Menace in Post-COVID Epoch: Low-and Middle-Income Countries Perspective and Mitigation Strategies

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