MATERIALS: Four hundred and ninety-five consecutive paediatric intensive care unit (PICU) admissions were analysed. multiple organ dysfunction syndrome was defined as simultaneous dysfunction of >/= 2 organ system and sepsis by the American College of Chest Physicians and Society of Critical Care Medicine Consensus Conference definition.
RESULTS: Eighty-four patients developed MODS. The incidence of sepsis, severe sepsis and septic shock in these patients was 10.7%, 23.8% and 17.9%, respectively. Worsening categories of sepsis were associated with: (1) a higher mean admission Paediatric Risk of Mortality (PRISM II): 36.6 +/- 25.9, 56.8 +/- 32.1 and 73.6 +/- 28.5%, respectively (P = 0. 005), (2) a larger number of organ dysfunctions: mean MODS index of 37%, 46% and 58%, respectively (P = 0.007), and (3) a higher mortality: 22.2%, 65% and 80%, respectively (P = 0.03).
CONCLUSION: Presence of sepsis, severe sepsis and septic shock was associated with an increasing severity of illness, increased number of organ dysfunctions and a distinct risk of mortality among critically ill children.
Objectives: This study describes an unusual septicaemia cases with Janthinobacterium lividum in neonatal Intensive Care Units.
Methods: Bacterial causes of early onset neonatal sepsis in Kuala Lumpur Hospital Malaysia were investigated using broad range 16S rDNA PCR and sequencing. The bacterial DNA was isolated directly from blood without pre-incubation. All samples collected were equally cultured and incubated in automated BACTEC system.
Results: Two hundred and fifty two neonates were recruited in this study with mean (SD) gestational age of 35.9. Neonates with J. lividum infection lacked microbiological evidence of septicaemia as their blood culture yielded no bacterial growth. However, the PCR analysis of these samples yielded 1100bp corresponding to bacteria species.
Conclusion: This study demonstrates the value of PCR in detecting bacteria where special growth requirement is involved.
METHODS: We estimated deaths associated with 33 bacterial genera or species across 11 infectious syndromes in 2019 using methods from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, in addition to a subset of the input data described in the Global Burden of Antimicrobial Resistance 2019 study. This study included 343 million individual records or isolates covering 11 361 study-location-years. We used three modelling steps to estimate the number of deaths associated with each pathogen: deaths in which infection had a role, the fraction of deaths due to infection that are attributable to a given infectious syndrome, and the fraction of deaths due to an infectious syndrome that are attributable to a given pathogen. Estimates were produced for all ages and for males and females across 204 countries and territories in 2019. 95% uncertainty intervals (UIs) were calculated for final estimates of deaths and infections associated with the 33 bacterial pathogens following standard GBD methods by taking the 2·5th and 97·5th percentiles across 1000 posterior draws for each quantity of interest.
FINDINGS: From an estimated 13·7 million (95% UI 10·9-17·1) infection-related deaths in 2019, there were 7·7 million deaths (5·7-10·2) associated with the 33 bacterial pathogens (both resistant and susceptible to antimicrobials) across the 11 infectious syndromes estimated in this study. We estimated deaths associated with the 33 bacterial pathogens to comprise 13·6% (10·2-18·1) of all global deaths and 56·2% (52·1-60·1) of all sepsis-related deaths in 2019. Five leading pathogens-Staphylococcus aureus, Escherichia coli, Streptococcus pneumoniae, Klebsiella pneumoniae, and Pseudomonas aeruginosa-were responsible for 54·9% (52·9-56·9) of deaths among the investigated bacteria. The deadliest infectious syndromes and pathogens varied by location and age. The age-standardised mortality rate associated with these bacterial pathogens was highest in the sub-Saharan Africa super-region, with 230 deaths (185-285) per 100 000 population, and lowest in the high-income super-region, with 52·2 deaths (37·4-71·5) per 100 000 population. S aureus was the leading bacterial cause of death in 135 countries and was also associated with the most deaths in individuals older than 15 years, globally. Among children younger than 5 years, S pneumoniae was the pathogen associated with the most deaths. In 2019, more than 6 million deaths occurred as a result of three bacterial infectious syndromes, with lower respiratory infections and bloodstream infections each causing more than 2 million deaths and peritoneal and intra-abdominal infections causing more than 1 million deaths.
INTERPRETATION: The 33 bacterial pathogens that we investigated in this study are a substantial source of health loss globally, with considerable variation in their distribution across infectious syndromes and locations. Compared with GBD Level 3 underlying causes of death, deaths associated with these bacteria would rank as the second leading cause of death globally in 2019; hence, they should be considered an urgent priority for intervention within the global health community. Strategies to address the burden of bacterial infections include infection prevention, optimised use of antibiotics, improved capacity for microbiological analysis, vaccine development, and improved and more pervasive use of available vaccines. These estimates can be used to help set priorities for vaccine need, demand, and development.
FUNDING: Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care, using UK aid funding managed by the Fleming Fund.
MATERIALS: We recruited consecutively adult patients with SIRS admitted to an intensive care unit. They were divided into sepsis and noninfectious SIRS based on clinical assessment with or without positive cultures. Concentrations of PCT and IL-6 were measured daily over the first 3 days.
RESULTS: A total of 239 patients were recruited, 164 (68.6%) had sepsis, and 68 (28.5%) died in hospital. The PCT levels were higher in sepsis compared with noninfectious SIRS throughout the 3-day period (P < .0001). On admission, PCT concentration was diagnostic of sepsis (area under the curve of 0.63 [0.55-0.71]), and IL-6 was predictive of mortality, (area under the curve of 0.70 [0.62-0.78]). Peak IL-6 concentration improved the risk assessment of Sequential Organ Failure Assessment (SOFA) score for prediction of mortality among those who went on to die by an average of 5% and who did not die by 2%
CONCLUSIONS: Procalcitonin measured on intensive care unit admission was diagnostic of sepsis, and IL-6 was predictive of mortality. Addition of IL-6 concentration to SOFA score improved risk assessment for prediction of mortality. Future studies should include clinical indices, for example, SOFA score, for prognostic evaluation of biomarkers.