The effect of a decision support system on the incidence of prescription errors in a PICU.

WHAT IS KNOWN AND OBJECTIVE: Paediatric intensive care patients are at high risk for prescription errors due to the more complex process of medication prescribing. Clinical decision support systems (CDSS) have shown good results in effectively reducing prescription errors. A specific dosing CDSS was developed that can check and suggest normal dose, dose limits and administration frequencies. This study aimed to assess the effect of this CDSS on protocol deviation (as measure of prescription error) types and frequency in a paediatric intensive care unit (PICU). METHODS: A retrospective observational study was conducted evaluating 9342 prescriptions in a 4-month period before and after the implementation of a CDSS in the PICU of the University Medical Center Utrecht. Medication forms were reviewed to identify protocol deviations (and therefore possible prescription errors). The incidence and nature of deviations from evidence-based protocols that were unintended and needed to be adjusted, were determined. RESULTS AND DISCUSSION: In the period before the dosing CDSS, we identified 45 protocol deviations in 5034 prescriptions (0.89%), 28 of which could not be justified (0.56%) and 11 needed to be adjusted (0.22%). In the period after the implementation of the CDSS, there were 21 protocol deviations in 4308 prescriptions (0.49%) of which ten without a valid reason (0.23%) of which two were adjusted (0.05%). WHAT IS NEW AND CONCLUSION: The specific dosing CDSS was able to significantly reduce unintentional prescription dose deviations and the number of prescriptions that needed to be adjusted, in an existing low incidence situation.

Severity of Hypoxemia and Effect of High-Frequency Oscillatory Ventilation in Acute Respiratory Distress Syndrome.

RATIONALE: High-frequency oscillatory ventilation (HFOV) is theoretically beneficial for lung protection, but the results of clinical trials are inconsistent, with study-level meta-analyses suggesting no significant effect on mortality. OBJECTIVES: The aim of this individual patient data meta-analysis was to identify acute respiratory distress syndrome (ARDS) patient subgroups with differential outcomes from HFOV. METHODS: After a comprehensive search for trials, two reviewers independently identified randomized trials comparing HFOV with conventional ventilation for adults with ARDS. Prespecified effect modifiers were tested using multivariable hierarchical logistic regression models, adjusting for important prognostic factors and clustering effects. MEASUREMENTS AND MAIN RESULTS: Data from 1,552 patients in four trials were analyzed, applying uniform definitions for study variables and outcomes. Patients had a mean baseline PaO2/FiO2 of 114 ± 39 mm Hg; 40% had severe ARDS (PaO2/FiO2 <100 mm Hg). Mortality at 30 days was 321 of 785 (40.9%) for HFOV patients versus 288 of 767 (37.6%) for control subjects (adjusted odds ratio, 1.17; 95% confidence interval, 0.94-1.46; P = 0.16). This treatment effect varied, however, depending on baseline severity of hypoxemia (P = 0.0003), with harm increasing with PaO2/FiO2 among patients with mild-moderate ARDS, and the possibility of decreased mortality in patients with very severe ARDS. Compliance and body mass index did not modify the treatment effect. HFOV increased barotrauma risk compared with conventional ventilation (adjusted odds ratio, 1.75; 95% confidence interval, 1.04-2.96; P = 0.04). CONCLUSIONS: HFOV increases mortality for most patients with ARDS but may improve survival among patients with severe hypoxemia on conventional mechanical ventilation.

High-Frequency Oscillatory Ventilation in Pediatric Acute Lung Injury: A Multicenter International Experience.

OBJECTIVE: We aim to describe current clinical practice, the past decade of experience and factors related to improved outcomes for pediatric patients receiving high-frequency oscillatory ventilation. We have also modeled predictive factors that could help stratify mortality risk and guide future high-frequency oscillatory ventilation practice. DESIGN: Multicenter retrospective, observational questionnaire study. SETTING: Seven PICUs. PATIENTS: Demographic, disease factor, and ventilatory and outcome data were collected, and 328 patients from 2009 to 2010 were included in this analysis. INTERVENTIONS: None. MEASUREMENT AND MAIN RESULTS: Patients were classified into six cohorts based on underlying diagnosis. We used univariate analysis to identify factors associated with mortality risk and multivariate logistic regression to identify independent predictors of mortality risk. An oxygenation index greater than 35 and immunocompromise exhibited the greatest predictive power (p < 0.0001) for increased mortality risk, and respiratory syncytial virus was associated with lowest mortality risk (p = 0.003). Differences in mortality risk as a function of oxygenation index were highly dependent on primary underlying condition. A trend toward an increase in oscillator amplitude and frequency was observed when compared with historical data. CONCLUSIONS: Given the number of centers and subjects included in the database, these findings provide a robust description of current practice regarding the use of high-frequency oscillatory ventilation for pediatric hypoxic respiratory failure. Patients with severe hypoxic respiratory failure and immunocompromise had the highest mortality risk, and those with respiratory syncytial virus had the lowest. A means of identifying the risk of 30-day mortality for subjects can be obtained by identifying the underlying disease and oxygenation index on conventional ventilation preceding the initiation of high-frequency oscillatory ventilation.

Continuous Data-Driven Monitoring in Critical Congenital Heart Disease: Clinical Deterioration Model Development.

BACKGROUND: Critical congenital heart disease (cCHD)-requiring cardiac intervention in the first year of life for survival-occurs globally in 2-3 of every 1000 live births. In the critical perioperative period, intensive multimodal monitoring at a pediatric intensive care unit (PICU) is warranted, as their organs-especially the brain-may be severely injured due to hemodynamic and respiratory events. These 24/7 clinical data streams yield large quantities of high-frequency data, which are challenging in terms of interpretation due to the varying and dynamic physiology innate to cCHD. Through advanced data science algorithms, these dynamic data can be condensed into comprehensible information, reducing the cognitive load on the medical team and providing data-driven monitoring support through automated detection of clinical deterioration, which may facilitate timely intervention. OBJECTIVE: This study aimed to develop a clinical deterioration detection algorithm for PICU patients with cCHD. METHODS: Retrospectively, synchronous per-second data of cerebral regional oxygen saturation (rSO2) and 4 vital parameters (respiratory rate, heart rate, oxygen saturation, and invasive mean blood pressure) in neonates with cCHD admitted to the University Medical Center Utrecht, the Netherlands, between 2002 and 2018 were extracted. Patients were stratified based on mean oxygen saturation during admission to account for physiological differences between acyanotic and cyanotic cCHD. Each subset was used to train our algorithm in classifying data as either stable, unstable, or sensor dysfunction. The algorithm was designed to detect combinations of parameters abnormal to the stratified subpopulation and significant deviations from the patient's unique baseline, which were further analyzed to distinguish clinical improvement from deterioration. Novel data were used for testing, visualized in detail, and internally validated by pediatric intensivists. RESULTS: A retrospective query yielded 4600 hours and 209 hours of per-second data in 78 and 10 neonates for, respectively, training and testing purposes. During testing, stable episodes occurred 153 times, of which 134 (88%) were correctly detected. Unstable episodes were correctly noted in 46 of 57 (81%) observed episodes. Twelve expert-confirmed unstable episodes were missed in testing. Time-percentual accuracy was 93% and 77% for, respectively, stable and unstable episodes. A total of 138 sensorial dysfunctions were detected, of which 130 (94%) were correct. CONCLUSIONS: In this proof-of-concept study, a clinical deterioration detection algorithm was developed and retrospectively evaluated to classify clinical stability and instability, achieving reasonable performance considering the heterogeneous population of neonates with cCHD. Combined analysis of baseline (ie, patient-specific) deviations and simultaneous parameter-shifting (ie, population-specific) proofs would be promising with respect to enhancing applicability to heterogeneous critically ill pediatric populations. After prospective validation, the current-and comparable-models may, in the future, be used in the automated detection of clinical deterioration and eventually provide data-driven monitoring support to the medical team, allowing for timely intervention.

Prognostic factors for multi-organ dysfunction in pediatric oncology patients admitted to the pediatric intensive care unit.

Background: Pediatric oncology patients who require admission to the pediatric intensive care unit (PICU) have worse outcomes compared to their non-cancer peers. Although multi-organ dysfunction (MOD) plays a pivotal role in PICU mortality and morbidity, risk factors for MOD have not yet been identified. We aimed to identify risk factors at PICU admission for new or progressive MOD (NPMOD) during the first week of PICU stay. Methods: This retrospective cohort study included all pediatric oncology patients aged 0 to 18 years admitted to the PICU between June 2018 and June 2021. We used the recently published PODIUM criteria for defining multi-organ dysfunction and estimated the association between covariates at PICU baseline and the outcome NPMOD using a multivariable logistic regression model, with PICU admission as unit of study. To study the predictive performance, the model was internally validated by using bootstrap. Results: A total of 761 PICU admissions of 571 patients were included. NPMOD was present in 154 PICU admissions (20%). Patients with NPMOD had a high mortality compared to patients without NPMOD, 14% and 1.0% respectively. Hemato-oncological diagnosis, number of failing organs and unplanned admission were independent risk factors for NPMOD. The prognostic model had an overall good discrimination and calibration. Conclusion: The risk factors at PICU admission for NPMOD may help to identify patients who may benefit from closer monitoring and early interventions. When applying the PODIUM criteria, we found some opportunities for fine-tuning these criteria for pediatric oncology patients, that need to be validated in future studies.

Mechanical ventilation for respiratory failure in children with severe neurological impairment: is it futile medical treatment?

AIM: To assess outcome for children with severe neurological impairment receiving invasive mechanical ventilation for respiratory failure. METHOD: Medical charts for all such children treated in our intensive care unit (ICU) between January 2003 and July 2008 were reviewed. Outcomes were compared with those for children with moderate neurological impairment. RESULTS: Twenty-two children with severe neurological impairment were included (nine females, 13 males; median age 7y 10mo; range 4mo-17y). The median duration of mechanical ventilation was 16 days. Six children had an uneventful 1-year survival, the others required reintubation or readmission to the ICU, or died. Eleven children were still alive 1 year after discharge from the ICU. Nine patients died of respiratory failure. None of the children in the severe group died of a heart defect. Eleven children with moderate neurological impairment were included (eight females, three males; median age 1y 1mo, range 4mo-13y). Four children had an uneventful 1-year survival. Eight children were still alive 1 year after discharge from the ICU. Two of the three non-survivors died of their heart defects. INTERPRETATION: Mechanical ventilation for respiratory failure in children with severe neurological impairment is complex and associated with limited survival. However, it cannot be regarded as futile medical treatment. Further studies are urgently needed for the rational guidance of clinical decision-making.

Sequential meta-analysis: an efficient decision-making tool.

BACKGROUND: A cumulative meta-analysis of successive randomized controlled trials (RCTs) can be used to decide whether enough evidence has been obtained comparing a control and an intervention treatment or whether a new RCT should be initiated. In general, no adjustment is made for repeatedly testing the null hypothesis of treatment equivalence on cumulative data. Neither can the power of the statistical test be quantified. Recently, trial sequential analysis (TSA) was suggested to '. . . establish when firm evidence is reached in cumulative meta-analysis'. TSA is based on alpha-spending functions and necessitates a prior estimate of the total information size. Various information sizes were suggested. PURPOSE: The aim of this study is to compare TSA with sequential meta-analysis (SMA) following Whitehead's boundaries approach. METHODS: We compare TSA and SMA by re-analysis of a number of published examples. RESULTS: Re-analysis of the examples shows that for an SMA: (1) no prior estimate for total information size is necessary and thus one set of boundaries suffices; (2) stopping a cumulative meta-analysis for futility is an option; (3) the power can be quantified; (4) point and interval estimates are adjusted for the multiple testing; and (5) gains in efficiency can be achieved, both for efficacy and for futility and thus ethical and economical benefits can be obtained. LIMITATIONS: Estimates for between-trial variability are unstable for a small number of trials. The behavior of a newly proposed estimate should be subject of further investigation. CONCLUSION: SMA is a useful tool to investigate the cumulative evidence from successive RCTs.

The effect of aprotinin, tranexamic acid, and aminocaproic acid on blood loss and use of blood products in major pediatric surgery: a meta-analysis.

OBJECTIVE: Aprotinin reduces the blood loss and transfusion of blood products in children undergoing major surgery. Aprotinin has been associated with severe side effects in adults, and tranexamic acid and aminocaproic acid have been found to be safer alternatives in adults. This systematic review addresses the question of whether tranexamic acid and aminocaproic acid are equally effective as aprotinin for reducing blood loss and transfusion in children undergoing major surgery. DATA SOURCES: A systematic review of the literature was conducted to identify all randomized controlled trials of aprotinin, tranexamic acid, and aminocaproic acid involving children undergoing cardiac or scoliosis surgery. STUDY SELECTION AND DATA EXTRACTION: Twenty-three cardiac studies, totaling 1893 patients, met the inclusion criteria. None of the studies directly compared aprotinin to an alternative antifibrinolytic. Five scoliosis studies, totaling 207 patients, met the inclusion criteria. Data on blood loss and use of blood products in the first 24 postoperative hours were extracted. Only homogenously distributed outcomes were pooled. DATA SYNTHESIS: Tranexamic acid showed a homogeneously distributed reduction of blood loss by 11 mL/kg (95% confidence interval [CI] 9-13 mL/kg). Outcomes of blood loss reduction by aprotinin and aminocaproic acid were too heterogeneously distributed to be pooled, so the effect on blood loss could not be evaluated. Both aprotinin and tranexamic acid significantly reduced packed red cell transfusion (4 mL/kg, 95% CI 2-7 mL/kg and 7 mL/kg, 95% CI 5-10 mL/kg, respectively). Type of antifibrinolytic was not a determining factor that explained differences in outcome among trials in a meta-regression analysis. In the scoliosis studies, aprotinin and tranexamic acid significantly reduced blood loss compared with placebo (385 mL, 95% CI 727-42 mL and 682 mL, 95% CI 1149-214 mL, respectively). CONCLUSIONS: There is no evidence that suggests that, compared with aprotinin, alternative antifibrinolytics such as tranexamic acid were less effective in reducing blood loss in major pediatric surgery.

Survival in a recent cohort of mechanically ventilated pediatric allogeneic hematopoietic stem cell transplantation recipients.

There is ongoing discussion whether survival improved for children requiring mechanical ventilation after hematopoietic stem cell transplantation (HSCT). We reviewed the outcomes of 150 children who received an allogeneic HSCT between January 1999 and April 2007, in a pediatric university hospital in The Netherlands. Thirty-five of the 150 patients received mechanical ventilation on 38 occasions. None of the recorded risk factors was significantly associated with the requirement of mechanical ventilation. Sixteen admissions resulted in death in the intensive care unit (ICU), giving a case fatality rate of 42% (95% confidence interval 26%-58%). ICU mortality was associated with multiorgan failure on the second day of admission and with the use of high frequency oscillatory ventilation. Patients had higher pediatric risk of mortality scores than in previous studies, reflecting higher acuity of illness on admission to the ICU. Six-month survival in patients discharged from the ICU was 82%. Compared to previous studies, we found an improvement in ICU survival and survival 6 months after ICU discharge in a recent cohort of ventilated children after allogeneic HSCT, even though our patients were more severely ill. Our results are promising, but they need to be confirmed in larger, preferably multicenter, studies.

Intensive care unit mortality trends in children after hematopoietic stem cell transplantation: a meta-regression analysis.

BACKGROUND: There is ongoing discussion whether intensive care unit mortality has decreased over time for children after hematopoietic stem cell transplantation. OBJECTIVE: To analyze intensive care unit mortality trends in children after hematopoietic stem cell transplantation. DATA SOURCES: Search of MEDLINE, EMBASE, and Cochrane databases, and a manual review of reference lists. STUDY SELECTION: Prospective and retrospective cohort studies containing intensive care unit mortality data of children after hematopoietic stem cell transplantation. DATA EXTRACTION: Mortality statistics and features associated with mortality were abstracted from studies of interest. To assess mortality over time, the median years of inclusion in original studies were included as risk factor. A multiple random-effects meta-regression analysis was conducted to assess the independent contribution of prognostic factors on mortality. DATA SYNTHESIS: Twenty-three studies were included, reporting on 1101 intensive care unit admissions. Overall intensive care unit mortality was 60% (range, 25%-91%). Once mechanical ventilation was necessary (n = 822), mean intensive care unit mortality was 71% (range, 25%-91%). Over the years, significantly fewer intensive care unit admitted patients received mechanical ventilation (p < 0.001). Univariable analysis in all intensive care unit admitted patients showed a significant decrease in mortality associated with year of inclusion. Mechanical ventilation and pulmonary disease were associated with increased mortality. In the multiple meta-regression analysis, only pulmonary disease remained significantly associated with mortality (odds ratio = 1.21, 95% confidence interval 1.01-1.46 per 10% increase in the number of patients with pulmonary disease in studies). The association between year of inclusion and intensive care unit mortality was less pronounced (odds ratio = 0.92, 95% confidence interval 0.84-1.01). CONCLUSION: There is a widely held impression that intensive care unit mortality clearly decreased in children after hematopoietic stem cell transplantation. However, characteristics of intensive care unit admitted patients significantly changed over time. After correcting for this, an improvement in intensive care unit survival was less evident. More studies are needed before a true improvement in intensive care unit survival can be confirmed.

Meta-regression analysis of high-frequency ventilation vs conventional ventilation in infant respiratory distress syndrome.

OBJECTIVE: There is considerable heterogeneity among randomized trials comparing high-frequency ventilation (HFV) with conventional mechanical ventilation (CMV) in premature neonates with respiratory distress syndrome. We investigated what factors explained differences in outcome among these trials. DESIGN: Meta-regression analysis of 15 randomized trials. MEASUREMENTS AND RESULTS: Variables were extracted to explain heterogeneity: year of publication; use of Sensormedics 3100A ventilator for HFV; time on CMV prior to start of study; gestational age; use of surfactant; high lung volume strategy in HFV; and lung protective ventilation strategy in CMV and baseline risk. Chronic lung disease (CLD) and death or CLD were outcome measures. Relative risk ratios were calculated to estimate effect sizes of explanatory variables on reported relative risks. Adjusted estimates of relative risk ratios of high lung volume strategy and lung protective ventilation strategy were 0.42 (95% CI 0.06-2.48) and 2.02 (95% CI 0.18-23.12) for CLD, respectively. The effect of gestational age was less pronounced (RRR=1.17 (95% CI 0.16-8.32) for CLD, respectively). Use of Sensormedics and prior time on CMV had the smallest effects [RRR=0.96 (95% CI 0.47-1.94) and RRR=0.85 (95% CI 0.58-1.24) for CLD, respectively)]. The same results applied to CLD or death as outcome. CONCLUSIONS: Variation in ventilation strategies that were used in trials comparing HFV with CMV in premature neonates offered the most likely explanation for the observed differences in the outcome of these trials compared with other explanatory factors.

Fluid resuscitation in neonatal and pediatric hypovolemic shock: a Dutch Pediatric Society evidence-based clinical practice guideline.

OBJECTIVE: To develop a clinical practice guideline that provides recommendations for the fluid, i.e. colloid or crystalloid, used for resuscitation in critically ill neonates and children up to the age of 18 years with hypovolemia. METHODS: The guideline was developed through a comprehensive search and analysis of the pediatric literature. Recommendations were formulated by a national multidisciplinary committee involving all stakeholders in neonatal and pediatric intensive care and were based on research evidence from the literature and, in areas where the evidence was insufficient or lacking, on consensus after discussions in the committee. RESULTS: Because of the lack of evidence in neonates and children, trials conducted in adults were considered. We found several recent meta-analyses that show excess mortality in albumin-treated groups, compared with crystalloid-treated groups, and one recent large randomized controlled trial that found evidence of no mortality difference. We found no evidence that synthetic colloids are superior to crystalloid solutions. CONCLUSIONS: Given the state of the evidence and taking all other considerations into account, the guideline-developing group and the multidisciplinary committee recommend that in neonates and children with hypovolemia the first-choice fluid for resuscitation should be isotonic saline.

Transcranial Doppler ultrasonography to confirm brain death: a meta-analysis.

OBJECTIVE: Barbiturate therapy or hypothermia precludes proper diagnosis of brain death either clinically or by EEG. Specific intracranial flow patterns indicating cerebral circulatory arrest (CCA) can be visualized by transcranial Doppler ultrasonography (TCD). The aim of this study was to assess the validity of TCD in confirming brain death. DESIGN: Meta-analysis of studies assessing the validity of TCD in confirming brain death. METHODS: A systematic review of articles in English on the diagnosis brain death by TCD, published between 1980 and 2004, was performed. An oscillating or reverberating flow and systolic spikes were considered to be compatible with CCA. The quality of each study was assessed using standardized methodological criteria. The literature was searched for any article reporting a false-positive result. RESULTS: Two high-quality and eight low-quality studies were included. Meta-analysis of the two high-quality studies showed a sensitivity of 95% (95% CI 92-97%) and a specificity of 99% (95% CI 97-100%) to detect brain death. Meta-analysis of all ten studies showed a sensitivity of 89% and a specificity of 99%. In the literature we found two false-positive results; however, in both patients brain-stem function did show brain death shortly thereafter. CONCLUSIONS: CCA by TCD in the anterior and posterior circulation predicted fatal brain damage in all patients; therefore, TCD can be used to determine the appropriate moment for angiography. Further research is needed to demonstrate that CCA by TCD on repeated examination can also predict brain death in all patients.

Systematic review of determinants of mortality in high frequency oscillatory ventilation in acute respiratory distress syndrome.

INTRODUCTION: Mechanical ventilation has been shown to cause lung injury and to have a significant impact on mortality in acute respiratory distress syndrome. Theoretically, high frequency oscillatory ventilation seems an ideal lung protective ventilation mode. This review evaluates determinants of mortality during use of high frequency oscillatory ventilation. METHODS: PubMed was searched for literature reporting randomized trials and cohort studies of high frequency ventilation in adult patients with acute respiratory distress syndrome. Data on mortality and determinants were extracted for patients treated with high frequency oscillatory ventilation. Linear regression analyses were conducted to produce graphical representations of adjusted effects of determinants of mortality. RESULTS: Cohorts of patients treated with high frequency oscillatory ventilation from two randomized trials and seven observational studies were included. Data from cohorts comparing survivors with non-survivors showed differences in age (42.3 versus 51.2 years), prior time on conventional mechanical ventilation (4.0 versus 6.2 days), APACHE II score (22.4 versus 26.1), pH (7.33 versus 7.26) and oxygenation index (26 versus 34). Each extra day on conventional ventilation was associated with a 20% higher mortality adjusted for age and APACHE II score (relative risk (RR) 1.20, 95% confidence interval (CI) 1.15-1.25). However, this association was confounded by differences in pH (pH adjusted RR 1.03, 95% CI 0.73-1.46). Oxygenation index seemed to have an independent effect on mortality (RR 1.10, 95% CI 0.95-1.28). CONCLUSION: Prolonged ventilation on conventional mechanical ventilation prior to high frequency oscillatory ventilation was not related to mortality. Oxygenation index was a determinant of mortality independent of other disease severity markers.

High frequency oscillatory ventilation compared with conventional mechanical ventilation in adult respiratory distress syndrome: a randomized controlled trial [ISRCTN24242669].

INTRODUCTION: To compare the safety and efficacy of high frequency oscillatory ventilation (HFOV) with conventional mechanical ventilation (CV) for early intervention in adult respiratory distress syndrome (ARDS), a multi-centre randomized trial in four intensive care units was conducted. METHODS: Patients with ARDS were randomized to receive either HFOV or CV. In both treatment arms a priority was given to maintain lung volume while minimizing peak pressures. CV ventilation strategy was aimed at reducing tidal volumes. In the HFOV group, an open lung strategy was used. Respiratory and circulatory parameters were recorded and clinical outcome was determined at 30 days of follow up. RESULTS: The study was prematurely stopped. Thirty-seven patients received HFOV and 24 patients CV (average APACHE II score 21 and 20, oxygenation index 25 and 18 and duration of mechanical ventilation prior to randomization 2.1 and 1.5 days, respectively). There were no statistically significant differences in survival without supplemental oxygen or on ventilator, mortality, therapy failure, or crossover. Adjustment by a priori defined baseline characteristics showed an odds ratio of 0.80 (95% CI 0.22-2.97) for survival without oxygen or on ventilator, and an odds ratio for mortality of 1.15 (95% CI 0.43-3.10) for HFOV compared with CV. The response of the oxygenation index (OI) to treatment did not differentiate between survival and death. In the HFOV group the OI response was significantly higher than in the CV group between the first and the second day. A post hoc analysis suggested that there was a relatively better treatment effect of HFOV compared with CV in patients with a higher baseline OI. CONCLUSION: No significant differences were observed, but this trial only had power to detect major differences in survival without oxygen or on ventilator. In patients with ARDS and higher baseline OI, however, there might be a treatment benefit of HFOV over CV. More research is needed to establish the efficacy of HFOV in the treatment of ARDS. We suggest that future studies are designed to allow for informative analysis in patients with higher OI.

The effect of a computerized prescribing and calculating system on hypo- and hyperglycemias and on prescribing time efficiency in neonatal intensive care patients.

BACKGROUND: Prescribing glucose requires complex calculations because glucose is present in parenteral and enteral nutrition and drug vehicles, making it error prone and contributing to the burden of prescribing errors. OBJECTIVE: Evaluation of the impact of a computerized physician order entry (CPOE) system with clinical decision support (CDS) for glucose control in neonatal intensive care patients (NICU) focusing on hypo- and hyperglycemic episodes and prescribing time efficiency. METHODS: An interrupted time-series design to examine the effect of CPOE on hypo- and hyperglycemias and a crossover simulation study to examine the influence of CPOE on prescribing time efficiency. NICU patients at risk for glucose imbalance hospitalized at the University Medical Center Utrecht during 2001-2007 were selected. The risks of hypo- and hyperglycemias were expressed as incidences per 100 patient days in consecutive 3-month intervals during 3 years before and after CPOE implementation. To assess prescribing time efficiency, time needed to calculate glucose intake with and without CPOE was measured. RESULTS: No significant difference was found between pre- and post-CPOE mean incidences of hypo- and hyperglycemias per 100 hospital days of neonates at risk in every 3-month period (hypoglycemias, 4.0 [95% confidence interval, 3.2-4.8] pre-CPOE and 3.1 [2.7-3.5] post-CPOE, P = .88; hyperglycemias, 6.0 [4.3-7.7] pre-CPOE and 5.0 [3.7-6.3] post-CPOE, P = .75). CPOE led to a significant time reduction of 16% (1.3 [0.3-2.3] minutes) for simple and 60% (8.6 [5.1-12.1] minutes) for complex calculations. CONCLUSIONS: CPOE including a special CDS tool preserved accuracy for calculation and control of glucose intake and increased prescribing time efficiency.

Clinical pharmacy interventions in paediatric electronic prescriptions.

OBJECTIVE: To examine the frequency, nature and determinants of clinical pharmacy interventions in paediatric electronic prescriptions. DESIGN: Prospective cohort with nested case-control study. SETTING: Tertiary children's hospital, The Netherlands. PATIENTS: Patients 0-18 years with at least one drug prescription admitted to hospital between 1 March 2004 and 1 January 2008, excluding patients receiving intensive care. INTERVENTIONS: Electronic medication prescriptions for paediatric inpatients were verified and if necessary interventions were made by the paediatric clinical pharmacy. Prescriptions requiring intervention (cases) were compared with prescriptions not requiring interventions (controls). MAIN OUTCOME MEASURES: Frequency of clinical pharmacy interventions, per 10 000 paediatric electronic prescriptions, and the determinants thereof. RESULTS: Interventions were made for 1577 (1.1%) of 138 449 prescriptions. 81% of the interventions concerned correction of a prescription that might have had adverse clinical consequences. Interventions in prescriptions for antibacterial agents for systemic use were made most often. Most corrections concerned wrong doses (45%). 1577 cases were compared with 1983 controls. The risk of interventions was higher for children aged 1 month to 2 years than for 12-18-year-olds (OR=1.97 (95% CI 1.63 to 2.38)). The risk for 'free-text' prescriptions was five times higher than for 'standardised structured template' prescriptions. No differences were found between day, evening and night shift prescriptions. Significantly more interventions were made in the oral dosage form (OR=1.63 (95% CI 1.41 to 1.88)) and administration route (OR=1.80 (95% CI 1.55 to 2.09)) than for other reasons. CONCLUSIONS: Paediatric prescribing errors occur frequently and are not completely prevented by electronic prescribing systems. This study provides information for improvements in electronic prescribing for paediatric patients. Incorporating tailored solutions, such as minimised free-text entry, certain obligatory fields and integrated dose checking and indications, can improve the quality and efficiency of electronic prescribing in paediatrics.

Bedside prediction rule for infections after pediatric cardiac surgery.

PURPOSE: Infections after pediatric cardiac surgery are a common complication, occurring in up to 30% of cases. The purpose of this study was to develop a bedside prediction rule to estimate the risk of a postoperative infection. METHODS: All consecutive pediatric cardiac surgery procedures between April 2006 and May 2009 were retrospectively analyzed. The primary outcome variable was any postoperative infection, as defined by the Center of Disease Control (2008). All variables known to the clinician at the bedside at 48 h post cardiac surgery were included in the primary analysis, and multivariable logistic regression was used to construct a prediction rule. RESULTS: A total of 412 procedures were included, of which 102 (25%) were followed by an infection. Most infections were surgical site infections (26% of all infections) and bloodstream infections (25%). Three variables proved to be most predictive of an infection: age less than 6 months, postoperative pediatric intensive care unit (PICU) stay longer than 48 h, and open sternum for longer than 48 h. Translation into prediction rule points yielded 1, 4, and 1 point for each variable, respectively. Patients with a score of 0 had 6.6% risk of an infection, whereas those with a maximal score of 6 had a risk of 57%. The area under the receiver operating characteristic curve was 0.78 (95% confidence interval 0.72-0.83). CONCLUSIONS: A simple bedside prediction rule designed for use at 48 h post cardiac surgery can discriminate between children at high and low risk for a subsequent infection.