Family adaptation during a pediatric intensive care hospitalization

The purpose of this study was to investigate characteristics of families, specifically their adaptability, cohesion, and coping mechanisms during a child's intensive care hospitalization. The sample consisted of 30 families with children hospitalized in a pediatric intensive care unit. The Family Adaptability and Cohesion Evaluation Scales (FACES-III) and the Family Crisis-Oriented Personal Evaluation Scales (F-COPES) were used to collect data. Results indicate that the families were, as a whole, healthy in their levels of functioning; their dimensions of adaptability and cohesion were balanced. The families studied utilized a variety of coping mechanisms, and specific characteristics were identified that enabled the families to adjust to the child's intensive care hospitalization.     

Developing and evaluating a machine learning based algorithm to predict the need of pediatric intensive care unit transfer for newly hospitalized children

Background

Early warning scores (EWS) are designed to identify early clinical deterioration by combining physiologic and/or laboratory measures to generate a quantified score. Current EWS leverage only a small fraction of Electronic Health Record (EHR) content. The planned widespread implementation of EHRs brings the promise of abundant data resources for prediction purposes. The three specific aims of our research are: (1) to develop an EHR-based automated algorithm to predict the need for Pediatric Intensive Care Unit (PICU) transfer in the first 24 h of admission; (2) to evaluate the performance of the new algorithm on a held-out test data set; and (3) to compare the effectiveness of the new algorithm's with those of two published Pediatric Early Warning Scores (PEWS).

Methods

The cases were comprised of 526 encounters with 24-h Pediatric Intensive Care Unit (PICU) transfer. In addition to the cases, we randomly selected 6772 control encounters from 62516 inpatient admissions that were never transferred to the PICU. We used 29 variables in a logistic regression and compared our algorithm against two published PEWS on a held-out test data set.

Results

The logistic regression algorithm achieved 0.849 (95% CI 0.753–0.945) sensitivity, 0.859 (95% CI 0.850–0.868) specificity and 0.912 (95% CI 0.905–0.919) area under the curve (AUC) in the test set. Our algorithm's AUC was significantly higher, by 11.8 and 22.6% in the test set, than two published PEWS.

Conclusion

The novel algorithm achieved higher sensitivity, specificity, and AUC than the two PEWS reported in the literature.     

Sinusitis: hidden source of sepsis in postoperative pediatric intensive care patients

Paranasal sinusitis is reported as a complication of prolonged nasal intubation and the source of sepsis in adult intensive care patients. In surgical neonates with congenital malformations, prolonged intubation with a nasotracheal (NT) or NG tube is often necessary, but sinusitis with complicating sepsis is seldom reported. Sinus x-rays may confirm the diagnosis; in infancy, prolonged nasal intubation delays the pneumatization of the sinuses and the mastoids, resulting in additional diagnostic problems. In a 1-yr period, we saw three patients with multiple septic episodes in which the source of sepsis was undetectable. Despite the absence of clinical symptoms and radiologic evidence of sinusitis or mastoiditis, surgical drainage revealed pus and led to the disappearance of septic episodes and ear, nose, and throat problems. There is an association between prolonged NT and NG intubation, and sinusitis or mastoiditis as an unrecognized source of sepsis in young infants. Absence of radiologic evidence of sinusitis or mastoiditis causes pitfalls in diagnosis and is related to delayed pneumatization of the sinuses and the mastoid in prolonged nasal intubation in young infants.     

Long-stay patients in the pediatric intensive care unit

OBJECTIVE: Length of stay in the pediatric intensive care unit (PICU) is a reflection of patient severity of illness and health status, as well as PICU quality and performance. We determined the clinical profiles and relative resource use of long-stay patients (LSPs) and developed a prediction model to identify LSPs for early quality and cost saving interventions. DESIGN: Nonconcurrent cohort study. SETTING: A total of 16 randomly selected PICUs and 16 volunteer PICUs. PATIENTS: A total of 11,165 consecutive admissions to the 32 PICUs. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: LSPs were defined as patients having a length of stay greater than the 95th percentile (>12 days). Logistic regression analysis was used to determine which clinical characteristics, available within the first 24 hrs after admission, were associated with LSPs and to create a predictive algorithm. Overall, LSPs were 4.7% of the population but represented 36.1% of the days of care. Multivariate analysis indicated that the following factors are predictive of long stays: age <12 months, previous ICU admission, emergency admission, no CPR before admission, admission from another ICU or intermediate care unit, chronic care requirements (total parenteral nutrition and tracheostomy), specific diagnoses including acquired cardiac disease, pneumonia, and other respiratory disorders, having never been discharged from the hospital, need for ventilatory support or an intracranial catheter, and a Pediatric Risk of Mortality III score between 10 and 33. The performance of the prediction algorithm in both the training and validation samples for identifying LSPs was good for both discrimination (area under the receiver operating characteristics curve of 0.83 and 0.85, respectively), and calibration (goodness of fit, p = .33 and p = .16, respectively). LSPs comprised from 2.1% to 8.1% of individual ICU patients and occupied from 15.2% to 57.8% of individual ICU bed days. CONCLUSIONS: LSPs have less favorable outcomes and use more resources than non-LSPs. The clinical profile of LSPs includes those who are younger and those that require chronic care devices. A predictive algorithm could help identify patients at high risk of prolonged stays appropriate for specific interventions.     

Outcome of early intensive care unit patients readmitted in the same hospitalization

Purpose

The aim of the study was to evaluate factors associated with early readmission to the intensive care unit (ICU) during the same hospitalization and factors associated with adverse outcomes.

Patients and Methods

Among 25 717 admissions, 378 (1.5%) patients were quickly readmitted within 3 days; of these, 374 patients for whom complete medical records were available for review were included. This was a prospective observational study for a 2-year period, with an additional 1-year follow-up.

Results

Respiratory (118 [31.6%]) and cardiovascular (91 [24.3%]) causes accounted for most readmissions. Need for mechanical ventilation during the second ICU stay was the variable most significantly associated with increased mortality (P < .001). Comparing the 2 study periods, we observed a decreased mortality rate (31.3 vs 19.5%; P = .018).

Conclusion

Patients with respiratory and cardiovascular diseases are at greatest risk for early ICU readmission. Better patient assessment and knowledge of factors associated with early readmission may contribute to reduced mortality.     

Outcome of oncology patients in the pediatric intensive care unit

We evaluated the outcome of oncology patients in the Pediatric Intensive Care Unit (PICU) from a total of 72 consecutive admissions. Severity of illness and quantity of care were measured by the Physiologic Stability Index (PSI) and the Therapeutic Intervention Scoring System (TISS), respectively. The overall mortality was 51% and was especially high in patients admitted for acute organ system failure (OSF)-66%. Acute respiratory failure was the most frequent OSF (73%) and the most common cause for PICU admission. A poor outcome was associated with severe leucopenia (<1000 WBC/mm³, 91% mortality), acute renal failure (94% mortality) and central nervous system deterioration (83% mortality). When the outcome was predicted using a quantitative algorithm the observed mortality was significantly higher than the predicted for all admissions with a PSI higher than 5. Improved scoring systems are required to enable characterization of pediatric cancer patients admitted to the PICU.     

Dobutamine pharmacokinetics and pharmacodynamics in pediatric intensive care patients.

OBJECTIVE: To evaluate the pharmacokinetics and pharmacodynamics of dobutamine in critically ill children. DESIGN: A prospective study of pediatric patients receiving continuous infusions of dobutamine in a stepwise format from 2.5 to 10.0 micrograms/kg/min. SETTING: A pediatric critical care unit. PATIENTS: Twelve children ranging in age from 1 month to 17 yrs with primary medical conditions. MEASUREMENTS: Plasma dobutamine concentrations and hemodynamic responses were measured at each infusion rate at steady state. Dose response data were analyzed to determine the threshold or minimum plasma dobutamine concentration necessary for discernible hemodynamic effects. MAIN RESULTS: Dobutamine plasma clearance rates ranged from 40 to 130 mL/kg/min. Each patient presented a linear increase in the plasma dobutamine concentration at each infusion rate (r2 = .97, p less than .001). Plasma clearance rate vs. actual dobutamine concentration did not vary. Cardiac output, BP, and heart rate increased 30%, 17%, and 7%, respectively, at maximal dose. The dobutamine concentration thresholds for changes in cardiac output, BP, and heart rate were 13 +/- 6, 23 +/- 14, and 65 +/- 30 ng/mL, respectively. CONCLUSIONS: There was no effect of plasma dobutamine concentration or infusion rate on plasma clearance rate. For this group of patients, over the range of the intravenous doses studied, dobutamine pharmacokinetics followed a first-order kinetic model. Threshold values for dobutamine usually show increases in cardiac output before changes in heart rate. These data demonstrate that dobutamine is an effective inotropic agent in critically ill pediatric patients and has minimal chronotropic action.     

Ventricular assist devices: what intensive care unit nurses need to know about postoperative management

Patients with advanced heart failure have limited treatment options despite advances in medical management. Ventricular assist devices represent a surgical option that offers improved end-organ function, survival, and quality of life. Postoperative nursing management involves the most complicated aspects of care following cardiac surgery as well as issues unique to advanced heart failure and mechanical circulatory support. Despite growing numbers of ventricular assist device implants, literature about the challenging care of patients following ventricular assist device implantation is limited. This article focuses on the physiological basis for postoperative nursing management strategies and the most important complications of which critical care nurses need to be aware.     

Weaning from mechanical ventilation in pediatric intensive care patients

Objective: The development of weaning predictors in mechanically ventilated children has not been sufficiently investigated. The purpose of this study was to evaluate the accuracy of some weaning indices in predicting weaning failure. Design: Prospective, interventional study. Setting: University-affiliated children's hospital with a 19-bed intensive care unit. Patients: 84 consecutive infants and children requiring mechanical ventilation for at least 48 h and judged ready to wean by their primary physicians. Interventions: Patients who met the criteria to start weaning underwent a trial of spontaneous breathing lasting up to 2 h. Bedside measurements of respiratory function were obtained immediately before discontinuation of mechanical ventilation and within the first 5 min of spontaneous breathing. The primary physicians were blinded to those measurements, and the decision to extubate a patient at the end of the spontaneous breathing trial or reinstitute mechanical ventilation was made by them. Failure to wean was defined as the requirement for mechanical ventilation at any time during the trial of spontaneous breathing (trial failure) or needing reintubation within 48 h of extubation (extubation failure). Measurements and main results: Seventy-five patients had neither signs of respiratory distress nor deterioration in gas exchange during the trial and were extubated. Twelve patients required reintubation within 48 h. In 9 patients, mechanical ventilation was reinstituted after a median duration of the spontaneous breathing trial of 35 min. The only independent predictor of trial failure was tidal volume indexed to body weight [odds ratio 2.60, 95 % confidence interval (CI) 1.40 to 24.9]. The only independent predictor of extubation failure was frequency-to-tidal volume ratio indexed to body weight (odds ratio 1.23, 95 % CI 1.11 to 1.36). The sensitivity, specificity, and positive and negative predictive values to predict weaning failure were calculated for each of the above variables. These values were 0.48, 0.86, 0.53, and 0.83, respectively, for a frequency-to-tidal volume ratio higher than 11 breaths/min per ml per kg and 0.43, 0.94, 0.69, and 0.83, respectively, for a tidal volume lower than 4 ml/kg. Conclusions: Three-quarters of ventilated children can be successfully weaned after a trial of spontaneous breathing lasting 2 h. Both tidal volume and frequency-to-tidal volume ratio indexed to body weight were poor predictors of weaning failure in the study population. Received: 20 February 1998 Accepted: 10 June 1998     

Pediatric cancer type predicts infection rate,need for critical care intervention,and mortality in the pediatric intensive care unit

Purpose

Up to 38 % of children with cancer require pediatric intensive care unit (PICU) admission within 3 years of diagnosis, with reported PICU mortality of 13–27 % far exceeding that of the general PICU population. PICU outcomes data for individual cancer types are lacking and may help identify patients at risk for poor clinical outcomes.

Methods

We performed a retrospective multicenter analysis of 10,365 PICU admissions of cancer patients no greater than 21 years old among 112 PICUs between 1 January 2009 and 30 June 2012. We evaluated the effect of cancer type, age, gender, genetic syndrome, stem cell transplantation, PRISM3 score, infections, and critical care interventions on PICU mortality.

Results

After excluding scheduled perioperative admissions, cancer patients represented 4.2 % of all PICU admissions (10,365/246,346), had overall mortality of 6.8 % (708/10,365) vs. 2.4 % (5,485/230,548) in the general PICU population (RR = 2.9, 95 % CI 2.7–3.1, p < 0.001), and accounted for 11.4 % of all PICU deaths (708/6,215). Hematologic cancer patients had greater median PRISM3 score (8 vs 2, p < 0.001), rates of sepsis (27 vs 9 %, RR = 2.9, 95 % CI 2.6–3.1, p < 0.001), and mortality (9.6 vs 4.5 %, RR = 2.1, 95 % CI 1.8–2.5, p < 0.001) compared to solid cancer patients. Among hematologic cancer patients, stem cell transplantation, diagnosis of acute myeloid leukemia, PRISM3 score, and infection were all independently associated with PICU mortality.

Conclusions

Children with cancer account for 4.2 % of PICU admissions and 11.4 % of PICU deaths. Hematologic cancer patients have significantly higher admission illness severity, rates of infections, and PICU mortality than solid cancer patients. These data may be useful in risk stratification for closer monitoring and patient counseling.     

Point-of-care procalcitonin may predict the need for surgical treatment in patients with small bowel obstruction

BackgroundThe early identification of patients with small bowel obstruction who require surgical treatment could potentially lead to improved patient outcomes. We evaluated the efficacy of point-of-care procalcitonin for predicting surgical treatment among patients with small bowel obstruction.MethodsThis was a prospective observational study. We measured serum procalcitonin levels in patients who presented to the emergency department and were diagnosed with small bowel obstruction from April 1, 2018 through March 31, 2019. Patients were grouped into two groups: the elevated procalcitonin and normal procalcitonin groups. Our primary outcome was surgical treatment.ResultsA total of 53 patients with small bowel obstruction were included in the study, and 11 patients (20.8%) were treated operatively. Baseline characteristics were similar, except for age, between the elevated procalcitonin (≥0.12 ng/ml) and normal procalcitonin groups. The elevated procalcitonin level was significantly correlated with surgical treatment and hospital length of stay (p < 0.05). The sensitivity, specificity, and positive likelihood of procalcitonin for the former were 45.5%, 85.7%, and 5.0 respectively.ConclusionThe patients with small bowel obstruction who had elevated procalcitonin levels on presentation showed significantly higher rate of surgical treatment than those who had normal procalcitonin levels. Point-of-care procalcitonin might predict the need for surgical treatment in patients with small bowel obstruction and could be used as an additional diagnostic test. Further studies with more patients are needed to investigate the predictive value of point-of-care procalcitonin for surgical treatment.     

Acute mechanical ventilation: an index of the absolute need for pediatric intensive care unit beds

Acute mechanical ventilation (MV) is an absolute indication for pediatric ICU (PICU) admission. Only 28% of PICU patients over an 8-yr period required acute MV, yet these accounted for 52.5% of total patient days. Transport admissions were more likely to require acute MV (40.4%). Subgroups of MV patients differing significantly (p less than .01) in the median duration of intensive care included the following: a) under 2 years (5 days) vs. older (4 days); b) medical (5 days) vs. all perioperative (3 days); and c) cardiac surgery (3 days) vs. other perioperative (4 days). We found that a) an average of 3.79 PICU beds per million general population (1.39 per 100,000 children under age 18 yr) were occupied daily by acute MV patients; b) the total PICU bed occupancy averaged 7.54 beds per million general population (2.76 per 100,000 children under age 18 yr) or twice that needed for acute MV patients alone; and c) regression equations based on subgroup annual admissions accurately predicted annual variability in acute MV census/day at both the study and a comparison hospital.