Procalcitonin, C-reactive protein, neutrophil gelatinase-associated lipocalin, resistin and the APTT waveform for the early diagnosis of serious bacterial infection and prediction of outcome in critically ill children.

OBJECTIVE: Bacterial Infections remains a leading cause of death in the Paediatric Intensive Care Unit (PICU). In this era of rising antimicrobial resistance, new tools are needed to guide antimicrobial use. The aim of this study was to investigate the accuracy of procalcitonin (PCT), neutrophil gelatinase-associated lipocalin (NGAL), resistin, activated partial thromboplastin time (aPTT) waveform and C-reactive protein (CRP) for the diagnosis of serious bacterial infection (SBI) in children on admission to PICU and their use as prognostic indicators. SETTING: A regional PICU in the United Kingdom. PATIENTS: Consecutive PICU admissions between October 2010 and June 2012. MEASUREMENTS: Blood samples were collected daily for biomarker measurement. The primary outcome measure was performance of study biomarkers for diagnosis of SBI on admission to PICU based on clinical, radiological and microbiological criteria. Secondary outcomes included durations of PICU stay and invasive ventilation and 28-day mortality. Patients were followed up to day 28 post-admission. MAIN RESULTS: A total of 657 patients were included in the study. 92 patients (14%) fulfilled criteria for SBI. 28-day mortality was 2.6% (17/657), but 8.7% (8/92) for patients with SBI. The combination of PCT, resistin, plasma NGAL and CRP resulted in the greatest net reclassification improvement compared to CRP alone (0.69, p<0.005) with 10.5% reduction in correct classification of patients with SBI (p 0.52) but a 78% improvement in correct classification of patients without events (p <0.005). A statistical model of prolonged duration of PICU stay found log-transformed maximum values of biomarkers performed better than first recorded biomarkers. The final model included maximum values of CRP, plasma NGAL, lymphocyte and platelet count (AUC 79%, 95% CI 73.7% to 84.2%). Longitudinal profiles of biomarkers showed PCT levels to decrease most rapidly following admission SBI. CONCLUSION: Combinations of biomarkers, including PCT, may improve accurate and timely identification of SBI on admission to PICU.

Identifying critically ill children at high risk of acute kidney injury and renal replacement therapy.

Acute kidney injury (AKI), a common complication in paediatric intensive care units (PICU), is associated with increased morbidity and mortality. In this single centre, prospective, observational cohort study, neutrophil gelatinase-associated lipocalin in urine (uNGAL) and plasma (pNGAL) and renal angina index (RAI), and combinations of these markers, were assessed for their ability to predict severe (stage 2 or 3) AKI in children and young people admitted to PICU. In PICU children and young people had initial and serial uNGAL and pNGAL measurements, RAI calculation on day 1, and collection of clinical data, including serum creatinine measurements. Primary outcomes were severe AKI and renal replacement therapy (RRT). Secondary outcomes were length of stay, hospital acquired infection and mortality. The area under the Receiver Operating Characteristic (ROC) curves and Youden index was used to determine biomarker performance and identify optimum cut-off values. Of 657 children recruited, 104 met criteria for severe AKI (15∙8%) and 47 (7∙2%) required RRT. Severe AKI was associated with increased length of stay, hospital acquired infection, and mortality. The area under the curve (AUC) for severe AKI prediction for Day 1 uNGAL, Day 1 pNGAL and RAI were 0.75 (95% Confidence Interval [CI] 0∙69, 0∙81), 0∙64 (95% CI 0∙56, 0∙72), and 0.73 (95% CI 0∙65, 0∙80) respectively. The optimal combination of measures was RAI and day 1 uNGAL, giving an AUC of 0∙80 for severe AKI prediction (95% CI 0∙71, 0∙88). In this heterogenous PICU cohort, urine or plasma NGAL in isolation had poorer prediction accuracy for severe AKI than in previously reported homogeneous populations. However, when combined together with RAI, they produced good prediction for severe AKI.

International validation of a urinary biomarker panel for identification of active lupus nephritis in children.

BACKGROUND: Conventional markers of juvenile-onset systemic lupus erythematosus (JSLE) disease activity fail to adequately identify lupus nephritis (LN). While individual novel urine biomarkers are good at detecting LN flares, biomarker panels may improve diagnostic accuracy. The aim of this study was to assess the performance of a biomarker panel to identify active LN in two international JSLE cohorts. METHODS: Novel urinary biomarkers, namely vascular cell adhesion molecule-1 (VCAM-1), monocyte chemoattractant protein 1 (MCP-1), lipocalin-like prostaglandin D synthase (LPGDS), transferrin (TF), ceruloplasmin, alpha-1-acid glycoprotein (AGP) and neutrophil gelatinase-associated lipocalin (NGAL), were quantified in a cross-sectional study that included participants of the UK JSLE Cohort Study (Cohort 1) and validated within the Einstein Lupus Cohort (Cohort 2). Binary logistic regression modelling and receiver operating characteristic curve analysis [area under the curve (AUC)] were used to identify and assess combinations of biomarkers for diagnostic accuracy. RESULTS: A total of 91 JSLE patients were recruited across both cohorts, of whom 31 (34 %) had active LN and 60 (66 %) had no LN. Urinary AGP, ceruloplasmin, VCAM-1, MCP-1 and LPGDS levels were significantly higher in those patients with active LN than in non-LN patients [all corrected p values (p c) < 0.05] across both cohorts. Urinary TF also differed between patient groups in Cohort 2 (p c = 0.001). Within Cohort 1, the optimal biomarker panel included AGP, ceruloplasmin, LPGDS and TF (AUC 0.920 for active LN identification). These results were validated in Cohort 2, with the same markers resulting in the optimal urine biomarker panel (AUC 0.991). CONCLUSION: In two international JSLE cohorts, urinary AGP, ceruloplasmin, LPGDS and TF demonstrate an 'excellent' ability for accurately identifying active LN in children.

Do maternal factors influence neonatal thyroid status in the extreme premature infant?

BACKGROUND: In early pregnancy, maternal transfer of thyroxine (T4) significantly contributes to the foetal T4 requirements. Interruption of the maternal transfer of T4 may lead to inadequate T4 exposure, potentially leading to neurodevelopmental deficits. AIM: To determine if maternal factors are associated with the thyroid hormone status of extremely premature infants during the first five days of life. METHOD: This prospective study looked at 117 mothers and their extremely premature babies (born before 28 weeks' gestation). The relationship between neonatal thyroid hormone status and maternal factors (gestation, route of delivery, exogenous maternal glucocorticoid administration, maternal free T4 (FT4), presence or absence of maternal chorioamnionitis, maternal smoking status, maternal body mass index (BMI) index, maternal thyroid peroxidase antibody status (TPO) and maternal haemoglobin levels) were evaluated. Multiple linear regression was used to study independent factors affecting neonatal thyroid function. RESULTS: Mean gestational age was 25(+5) ± 1.3 weeks (range 22(+0) to 27(+6)). Neonatal FT4 strongly correlated with gestation, with a greater severity of hypothyroxinaemia associated with lower gestation (r = 0.6, p < 0.0001). Multiple regression found gestation to be the only independent factors affecting thyroid status (beta coefficient = 0.08, p = 0.01), and no maternal factors were found to be associated with neonatal thyroid status. CONCLUSION: Neonatal thyroid status in extreme preterm infants is independently affected by gestation and not maternal factors such as route of delivery, exogenous maternal glucocorticoid administration, third trimester maternal FT4, presence or absence of chorioamnionitis, smoking status, BMI, TPO status or haemoglobin levels. The severity of neonatal hypothyroxinaemia increases with lower gestational age.

Urine biomarkers for monitoring juvenile lupus nephritis: a prospective longitudinal study.

BACKGROUND: In juvenile-onset systemic lupus erythematosus (JSLE), renal involvement (lupus nephritis) is frequently seen and can result in long-term morbidity. This prospective longitudinal study aimed to identify the utility of standard and/or novel biomarkers for monitoring and predicting lupus nephritis in a real world setting. METHODS: Using an unselected JSLE cohort, urine samples were collected during routine clinical review. Protein concentrations of urinary monocyte chemo-attractant protein 1 (uMCP1) and neutrophil gelatinase-associated lipocalin (uNGAL) were analysed along with standard disease activity markers, and were compared with current and subsequent disease activity. RESULTS: JSLE patients (n = 64; median age 14.1 years) were seen at 3 (interquartile range: 2-5) clinical reviews over 364 (182-532) days. Multivariate analysis demonstrated uMCP1 and serum C3 as independent variables (p < 0.001) for active renal disease at the time of the current review. uMCP1 was an excellent predictor of improved renal disease over time (AUC: 0.81; p = 0.013). uNGAL was a good predictor of worsened renal disease activity (AUC 0.76; p = 0.04) over time. CONCLUSION: Biomarkers (uMCP1, serum C3) can indicate current renal involvement in JSLE, whilst uMCP1 and uNGAL are able to predict subsequent renal disease activity changes. Moving towards biomarker-led monitoring may improve the renal outcome for our patients.

Increased whole blood manganese concentrations observed in children with iron deficiency anaemia.

A prospective observational study was carried out at Alder Hey Children's Hospital, Liverpool, England, UK on children aged 1-6 years attending the pathology department for routine blood tests (n=225). Whole blood manganese concentrations were measured plus the following markers of iron status; haemoglobin, MCV, MCH, RBC count, ferritin, transferrin saturation and soluble transferrin receptors. Multiple regression analysis was performed, with blood manganese as the dependent variable and factors of iron status, age and gender as independent variables. A strong relationship between blood manganese and iron deficiency was demonstrated (adjusted R(2)=34.3%, p<0.001) and the primary contributing factors to this relationship were haematological indices and soluble transferrin receptors. Subjects were categorised according to iron status using serum ferritin, transferrin saturation and haemoglobin indices. Children with iron deficiency anaemia had higher median blood manganese concentrations (16.4 µg/L, range 11.7-42.4, n=20) than children with iron sufficiency (11 µg/L, range 5.9-20.9, n=59, p<0.001). This suggests that children with iron deficiency anaemia may be at risk from manganese toxicity (whole blood manganese >20 µg/L), and that this may lead to neurological problems. Treatment of iron deficiency in children is important both to improve iron status and to reduce the risk of manganese toxicity.

A reference interval for sweat chloride in infants aged between five and six weeks of age.

BACKGROUND: This study was designed to establish a reference interval for sweat chloride for infants without evidence of cystic fibrosis (CF), aged between 5 wk and 6 wk, a time when sweat testing is an integral part of newborn screening for CF. In addition, we compared the gold standard method of sweat testing (quantitative pilocarpine iontophoresis [QPIT, coulometry]) with an emerging methodology (Macroduct [ISE]). METHODS: This was a prospective study on healthy infants at 5-6 wk of age. Sweat collection was undertaken at home on both outer thigh areas using two methods (QPIT and Macroduct ). The order of testing was randomly assigned. Filter paper samples (QPIT) were analysed using flame photometry and coulometry. Macroduct samples were analysed using ion-selective electrodes (ISE, Abbott Architect c8000, UK). RESULTS: Insufficient sweat was collected on 28 occasions with the QPIT (coulometry) method and on 31 with the Macroduct (ISE) capillary system. We achieved a 92% success rate in undertaking two sweat collections consecutively (n = 177). Sweat chloride concentrations were normally distributed with excellent limits of agreement between the two methods of sweat collection and analysis (n = 150). Median (IQR) sweat chloride was 11.2 mmol/L (8-13) with QPIT (coulometry) method with a 99.5th centile (n = 165) of 24 mmol/L. CONCLUSION: The Macroduct (ISE) capillary sweat collection system is valid in this age group. Sweat chloride concentrations above 30 mmol/L should prompt assessment in a specialist CF centre.

Myocardial injury in infants ventilated on the paediatric intensive care unit: a case control study.

INTRODUCTION: Cardiac troponin T (cTnT) has been used to assess prevalence of myocardial injury in critically ill children. The majority of studies investigated patients undergoing cardiac surgery. Myocardial injury has been associated with increased mortality. Our objectives were to investigate whether cTnT levels are elevated in infants without congenital heart disease admitted to the paediatric intensive care unit (PICU) and whether levels are associated with increased disease severity. METHODS: We measured cTnT in consecutive infants (<12 months old) without congenital heart disease admitted to the PICU and healthy infants. The Paediatric Index of Mortality (PIM) score was determined in patients on the PICU. RESULTS: We recruited 107 infants: 47 infants admitted to the PICU and 60 healthy controls. Controls were, with a median (interquartile range (IQR)) age of 20 (12 to 34) weeks, significantly older than cases, with a median age of 6.5 (0.3 to 20.6) weeks. CTnT levels were, with a median (IQR) of 18 (10 to 60) pg/ml, significantly higher in admissions to the PICU than in controls, with a median level of 10 (10 to 10) pg/ml (95th centile of 20 pg/ml) (p < 0.001). There was a significant positive correlation (r = 0.41, p = 0.004) between PIM score and cTnT levels. Admissions under one month old had higher cTnT levels than older patients (p = 0.013) but the PIM score was not significantly different between them. When corrected for age and weight the correlation of PIM and cTnT was no longer significant. CONCLUSION: Infants on the PICU in the neonatal period have higher cTnT levels compared to older infants despite not having more severe disease.