2017
DOI: 10.3389/fped.2017.00278
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Clinical Presentation and Outcomes among Children with Sepsis Presenting to a Public Tertiary Hospital in Tanzania

Abstract: BackgroundPediatric sepsis causes significant global morbidity and mortality and low- and middle-income countries (LMICs) bear the bulk of the burden. International sepsis guidelines may not be relevant in LMICs, especially in sub-Saharan Africa (SSA), due to resource constraints and population differences. There is a critical lack of pediatric sepsis data from SSA, without which accurate risk stratification tools and context-appropriate, evidence-based protocols cannot be developed. The study’s objectives wer… Show more

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Cited by 17 publications
(34 citation statements)
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“…This finding aligns with previous reports that, in a malaria endemic region like Cameroon, affected children have an increased risk to die from septic shock resulting secondarily from severe anaemia and/or bacteraemia [32,33]. More so, sepsis is described as a cascade of diseases involving a systemic inflammatory response syndrome (SIRS) in the midst of infection, intensifying in septic shock to cardiovascular and organ system dysfunction [34]. Some authors have attributed this systemic organ dysfunction as the last inflammatory stage for a majority of infectious disease-related paediatric deaths globally [3436].…”
Section: Discussionsupporting
confidence: 90%
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“…This finding aligns with previous reports that, in a malaria endemic region like Cameroon, affected children have an increased risk to die from septic shock resulting secondarily from severe anaemia and/or bacteraemia [32,33]. More so, sepsis is described as a cascade of diseases involving a systemic inflammatory response syndrome (SIRS) in the midst of infection, intensifying in septic shock to cardiovascular and organ system dysfunction [34]. Some authors have attributed this systemic organ dysfunction as the last inflammatory stage for a majority of infectious disease-related paediatric deaths globally [3436].…”
Section: Discussionsupporting
confidence: 90%
“…More so, sepsis is described as a cascade of diseases involving a systemic inflammatory response syndrome (SIRS) in the midst of infection, intensifying in septic shock to cardiovascular and organ system dysfunction [34]. Some authors have attributed this systemic organ dysfunction as the last inflammatory stage for a majority of infectious disease-related paediatric deaths globally [3436]. This phenomenon is consistent with our findings in which a myriad of infections resulting from HIV/AIDS (3.5%), Streptococcus pneumoniae (8.3%), malignancies (8.2%), ischemic heart diseases (2.3%), conditions from perinatal period (4.4%) and aplastic anaemia due to other external agents (6.1%) could be important underlying contributors to under-five deaths, although they were recorded as individual CoD (Table 2).…”
Section: Discussionmentioning
confidence: 99%
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“…The logistic regression model used to calculate the AUROC for the combined model in Figure 3 is, therefore, restricted to subjects with available IL-1β measurements, limiting generalizability. Fifth, the SIRS criteria are the current accepted pediatric definition of sepsis, but these criteria have been criticized for being too sensitive and nonspecific for pediatric sepsis and outcomes 49,63 ; new criteria similar to the adult Sepsis-3 and Sequential Organ Failure Assessment (SOFA) score may be released shortly. [64][65][66] Finally, generalizability of the study is uncertain; there may be important differences between our study population, which excluded children with severe malaria, HIV infection, and chronic illnesses, and the general SSA pediatric population.…”
Section: Discussionmentioning
confidence: 99%
“…The logistic regression models included combinations of the highest performing biomarkers as well as risk factors for sepsis (age, malaria infection, and malnutrition determined by WAZ) selected a priori based on the literature. [47][48][49] To test whether parasite density was correlated with biomarkers, we tested for correlations between logtransformed biomarker concentrations and log-transformed malaria parasite density using Spearman's rank test. We used Stata MP 14.2 for data analysis.…”
Section: Sirsmentioning
confidence: 99%