Pediatric Risk of Mortality III Score - Predictor of Mortality and Hospital Stay in Pediatric Intensive Care Unit

Burden of Respiratory Disease in Pediatric Intensive Care Unit: Experience from a PICU of a Tertiary Care Center in Pakistan

Introduction

We aimed to determine the burden of respiratory disease by examining clinical profiles and associated predictors of morbidity and mortality of patients admitted to a Pediatric Intensive Care Unit (PICU) in Pakistan, a resource limited country. We also stratified the respiratory diseases as defined by the Pediatric Advanced Life Support (PALS) Classification.

Methods

A retrospective study was conducted on children aged 1 month to 18 years who were diagnosed with respiratory illness at the PICU in a tertiary hospital in Karachi, Pakistan. Demographics, essential clinical details including immunization status, and the outcome in terms of mortality or survival were recorded. Predictors of mortality and morbidity including prolonged intubation and mechanical ventilation in the PICU were analyzed using the chi-square test or Fischer's exact test as appropriate.

Results

279 (63.8% male; median age 9 months, IQR 4-36 months) patients were evaluated of which 44.2% were malnourished and 23.3% were incompletely immunized. The median length of stay in the PICU was 3 days (IQR 2-5 days). Pneumonia was the principal diagnosis in 170 patients (62%) and accounted for most deaths. 76/279 (27.2%) were ventilated, and 67/279(24.0%) needed inotropic support. A high Pediatric Risk of Mortality (PRISM) III score, pneumothorax, and lower airway disease were significantly associated with ventilation support. The mortality rate of patients was 14.3%. Predictors of mortality were a high PRISM III score (OR 1.179; 95% CI 1.024-1.358, P=0.022) and a positive blood culture (OR 4.305; 95% CI 1.062-17.448, P=0.041).

Conclusion

Pneumonia is a significant contributor of respiratory diseases in the PICU in Pakistan and is the leading cause of morbidity and mortality. A high PRISM III score, pneumothorax, and lower airway disease were predictors for ventilation support. A high PRISM III score and a positive blood culture were predictors of patient mortality in our study.

High Dependency Units (HDUs) in Pediatrics: Need of the Hour in Resource-Limited Settings

Background Critically ill children, being vulnerable and having higher mortality as compared to adults, require specialized intensive care. However, the focus of critical care remains on adults, especially in resource-limited countries. Limited beds in the pediatric intensive care unit (PICU) along with the limitation of infrastructure and staff add to the challenge in pediatric critical care. In such scenarios, high-dependency units (HDUs) can help save a few more lives, who could not be provided with the PICU facility. HDU provides a level of care that is intermediate to that of the PICU and the general ward providing close observation, monitoring, and intervention to children who are critically ill. Our study highlighted that critically ill children can be given a chance of survival in resource-limited settings through HDU care. Materials and methods In our single-center prospective observational study, 204 children (less than 18 years) admitted to the HDU over 11 months and fulfilling the inclusion criteria were included. Blood samples were drawn for baseline investigations. The child's clinical course in the HDU along with the total duration of stay were recorded in a proforma. Children were reviewed for the requirement of invasive, non-invasive respiratory support along with inotropic support. Various parameters of the pediatric risk of mortality (PRISM) IV score were recorded within a time period of two hours prior and four hours following admission to HDU. The final outcome of the children was recorded. All data were analyzed and reviewed. Results Among the 204 patients admitted to HDU 136 (66.7%) children were treated successfully, whereas 63 (30.9%) children succumbed to their disease and complications, and five children were transferred to the PICU. Among various factors of age less than one year, the primary indication of admission being respiratory distress, the need of >2 inotropes had higher odds of mortality. Odds of mortality were eight times in patients with shock and altered sensorium, three times in children with respiratory distress, and two times in those having seizures. Those patients with a PRISM IV score of >15 had almost 100 times higher odds of mortality as compared to those with a score of <15. Conclusion In a resource-limited setting like ours, there's a scarcity of PICU beds for the provision of critical care. We envisage that providing intensive care in HDU will help save a few more lives, who could not be provided PICU facility for any reason.

Comparison of pSOFA with PRISM III and PIM 2 as Predictors of Outcome in a Tertiary Care Pediatric ICU: A Prospective Cross-sectional Study

Aims and background

Severity scores are used to predict the outcome of children admitted to the intensive care unit. A descriptive score such as the pediatric sequential organ failure assessment (pSOFA) may be useful for prediction of outcome. This study was planned to compare the pSOFA score with these well-studied scores for prediction of mortality.

Materials and methods

This prospective cross-sectional study was conducted at the pediatric intensive care units (PICU) of a tertiary care hospital. Children aged from 1 month to 12 years were enrolled sequentially. The pediatric index of mortality (PIM 2) score was calculated within 1 hour, and pediatric risk of mortality (PRISM) III and pSOFA scores were calculated within 24 hours of PICU admission. The pediatric sequential organ failure assessment score was recalculated after 72 hours. The primary outcome variable was hospital mortality, and secondary outcome variables were duration of PICU stay, need for mechanical ventilation, and occurrence of acute kidney injury (AKI). Appropriate statistical tests were used.

Results

About 151 children with median (IQR) age of 36 (6, 84) months were enrolled. Mechanical ventilation was required in 87 (57.6%) children. Mortality was 21.2% at 28 days. The median (IQR) predicted mortality using PRISM III and PIM 2 score were 3.4 (1.5%, 11%) and 8.2 (3.1%, 16.6%) respectively. Area under ROC for prediction of mortality was highest for pSOFA 72 with a cut-off of 6.5 having sensitivity of 83.3% and specificity of 76.9%.

Conclusion

The pSOFA score calculated at admission and at 72 hours had a better predictive ability for the PICU mortality compared to PRISM III and PIM 2 score.

How to cite this article

Agrwal S, Saxena R, Jha M, Jhamb U, Pallavi. Comparison of pSOFA with PRISM III and PIM 2 as Predictors of Outcome in a Tertiary Care Pediatric ICU: A Prospective Cross-sectional Study. Indian J Crit Care Med 2024;28(8):796-801.

When a Critically Ill Child is Oceans Away From a PICU: A Military Pediatric CCAT Mission

A 4-year-old former 26-week premature male presented to the U.S. Naval Hospital Guam emergency department in respiratory failure secondary to human metapneumovirus requiring urgent intubation. His condition was complicated by a bradycardic arrest requiring 15 minutes of resuscitation before the return of circulation. He was admitted to the adult intensive care unit and was managed via pediatric telecritical care from San Diego. He developed acute respiratory distress syndrome, acute renal failure, hypotension requiring multiple pressors, and fluid overload necessitating bilateral chest tubes and two peritoneal drains. A pediatric critical care air transport team departed San Antonio within 36 hours of activation and transported the patient via C-17 to Hawaii, performing a tail swap to a KC-135. Before takeoff, mechanical delays caused prolonged ground time and lack of temperature control resulted in patient's hyperthermia to reach 104.2°F despite the ice packing. The ambient temperature caused equipment malfunction (suction, handheld blood analyzer, and ventilator), necessitating manual bagging. Despite initial temperature challenges, the team removed 700 mL of peritoneal fluid and substantially reduced the patient's ventilator settings. After 22 hours of care, the team arrived with the patient to a civilian pediatric intensive care unit in CA, USA. Over several weeks, the patient made a full recovery. This pediatric critical care air transport mission highlights the complications intrinsic to air transport. Missions of this severity and length benefit from utilization of pediatric specialists to minimize morbidity and mortality. Highlighting the challenges related to preparation, air frame, and equipment malfunction should help others prepare for future pediatric air transports.

Respiratory Support Practices for Bronchiolitis in the Pediatric Intensive Care Unit

Importance

Admissions to the pediatric intensive care unit (PICU) due to bronchiolitis are increasing. Whether this increase is associated with changes in noninvasive respiratory support practices is unknown.

Objective

To assess whether the number of PICU admissions for bronchiolitis between 2013 and 2022 was associated with changes in the use of high-flow nasal cannula (HFNC), noninvasive ventilation (NIV), and invasive mechanical ventilation (IMV) and to identify factors associated with HFNC and NIV success and failure.

Design, Setting, and Participants

This cross-sectional study examined encounter data from the Virtual Pediatric Systems database on annual PICU admissions for bronchiolitis and ventilation practices among patients aged younger than 2 years admitted to 27 PICUs between January 1, 2013, and December 31, 2022. Use of HFNC and NIV was defined as successful if patients were weaned to less invasive support (room air or low-flow nasal cannula for HFNC; room air, low-flow nasal cannula, or HFNC for NIV).

Main Outcomes and Measures

The main outcome was the number of PICU admissions for bronchiolitis requiring the use of HFNC, NIV, or IMV. Linear regression was used to analyze the association between admission year and absolute numbers of encounters stratified by the maximum level of respiratory support required. Multivariable logistic regression was used to analyze factors associated with HFNC and NIV success and failure (defined as not meeting the criteria for success).

Results

Included in the analysis were 33 816 encounters for patients with bronchiolitis (20 186 males [59.7%]; 1910 patients [5.6%] aged ≤28 days and 31 906 patients [94.4%] aged 29 days to <2 years) treated at 27 PICUs from 2013 to 2022. A total of 7615 of 15 518 patients (49.1%) had respiratory syncytial virus infection and 1522 of 33 816 (4.5%) had preexisting cardiac disease. Admissions to the PICU increased by 350 (95% CI, 170-531) encounters annually. When data were grouped by the maximum level of respiratory support required, HFNC use increased by 242 (95% CI, 139-345) encounters per year and NIV use increased by 126 (95% CI, 64-189) encounters per year. The use of IMV did not significantly change (10 [95% CI, -11 to 31] encounters per year). In all, 22 381 patients (81.8%) were successfully weaned from HFNC to low-flow oxygen therapy or room air, 431 (1.6%) were restarted on HFNC, 3057 (11.2%) were escalated to NIV, and 1476 (5.4%) were escalated to IMV or extracorporeal membrane oxygenation (ECMO). Successful use of HFNC increased from 820 of 1027 encounters (79.8%) in 2013 to 3693 of 4399 encounters (84.0%) in 2022 (P = .002). In all, 8476 patients (81.5%) were successfully weaned from NIV, 787 (7.6%) were restarted on NIV, and 1135 (10.9%) were escalated to IMV or ECMO. Success with NIV increased from 224 of 306 encounters (73.2%) in 2013 to 1335 of 1589 encounters (84.0%) in 2022 (P < .001). In multivariable logistic regression, lower weight, higher Pediatric Risk of Mortality III score, cardiac disease, and PICU admission from outside the emergency department were associated with greater odds of HFNC and NIV failure.

Conclusions and Relevance

Findings of this cross-sectional study of patients aged younger than 2 years admitted for bronchiolitis suggest there was a 3-fold increase in PICU admissions between 2013 and 2022 associated with a 4.8-fold increase in HFNC use and a 5.8-fold increase in NIV use. Further research is needed to standardize approaches to HFNC and NIV support in bronchiolitis to reduce resource strain.

A Quality Improvement Initiative to Reduce Unnecessary Screening Chest Radiographs in a Pediatric ICU

BACKGROUND

The Critical Care Societies Collaborative included not ordering diagnostic tests at regular intervals as one of their Choosing Wisely initiatives. A reduction in unnecessary chest radiographs (CXRs) can help reduce exposure to radiation and eliminate health care waste. We aimed to reduce daily screening CXRs in a pediatric ICU (PICU) by 20% from baseline within 4 months of implementation of CXR criteria.

METHODS

All intubated patients in the PICU were included in this quality improvement project. Patients with tracheostomies were excluded. We developed criteria delineating which patients were most likely to benefit from a daily screening CXR, and these criteria were discussed for each patient on rounds. Patients on extracorporeal membrane oxygenation, on high-frequency oscillatory ventilation, or on high support on conventional mechanical ventilation were included as needing a daily screening CXR. We tracked the percentage of intubated subjects receiving a screening CXR as an outcome measure. Unplanned extubations and the number of non-screening CXRs per intubated subject were followed as balancing measures.

RESULTS

The percentage of intubated subjects receiving a daily screening CXR was reduced from 79% to 31%. There was no increase in frequency of unplanned extubations or number of non-screening CXRs. With an estimated subject charge of roughly $270 and hospital cost of $54 per CXR, this project led to an estimated $300,000 in patient charge savings and $60,000 in hospital cost savings.

CONCLUSIONS

Adopting criteria to delineate which patients are most likely to benefit from screening CXRs can lead to a reduction in the percentage of intubated patients receiving screening CXRs without appearing to increase harm.

Paediatric sepsis-associated encephalopathy (SAE): a comprehensive review

Sepsis-associated encephalopathy (SAE) is one of the most common types of organ dysfunction without overt central nervous system (CNS) infection. It is associated with higher mortality, low quality of life, and long-term neurological sequelae, its mortality in patients diagnosed with sepsis, progressing to SAE, is 9% to 76%. The pathophysiology of SAE is still unknown, but its mechanisms are well elaborated, including oxidative stress, increased cytokines and proinflammatory factors levels, disturbances in the cerebral circulation, changes in blood-brain barrier permeability, injury to the brain's vascular endothelium, altered levels of neurotransmitters, changes in amino acid levels, dysfunction of cerebral microvascular cells, mitochondria dysfunction, activation of microglia and astrocytes, and neuronal death. The diagnosis of SAE involves excluding direct CNS infection or other types of encephalopathies, which might hinder its early detection and appropriate implementation of management protocols, especially in paediatric patients where only a few cases have been reported in the literature. The most commonly applied diagnostic tools include electroencephalography, neurological imaging, and biomarker detection. SAE treatment mainly focuses on managing underlying conditions and using antibiotics and supportive therapy. In contrast, sedative medication is used judiciously to treat those showing features such as agitation. The most widely used medication is dexmedetomidine which is neuroprotective by inhibiting neuronal apoptosis and reducing a sepsis-associated inflammatory response, resulting in improved short-term mortality and shorter time on a ventilator. Other agents, such as dexamethasone, melatonin, and magnesium, are also being explored in vivo and ex vivo with encouraging results. Managing modifiable factors associated with SAE is crucial in improving generalised neurological outcomes. From those mentioned above, there are still only a few experimentation models of paediatric SAE and its treatment strategies. Extrapolation of adult SAE models is challenging because of the evolving brain and technical complexity of the model being investigated. Here, we reviewed the current understanding of paediatric SAE, its pathophysiological mechanisms, diagnostic methods, therapeutic interventions, and potential emerging neuroprotective agents.

Risk Factors for Longer Pediatric Intensive Care Unit Length of Stay Among Children Who Required Escalation of Care Within 24 Hours of Admission

OBJECTIVE

Children who require early escalation of care (EOC) to the pediatric intensive care unit (PICU) after floor admission have higher mortality and increased hospital length of stay (LOS) as compared with direct emergency department (ED) admissions. This study was designed to identify subgroups of patients within this cohort (EOC to PICU within 24 hours of hospital admission) who have worse outcomes (actual PICU LOS [aLOS] > predicted PICU LOS [pLOS]).

METHODS

This was a retrospective single-center cohort study. Patients who required EOC to PICU from January 2015 to December 2019 within 24 hours of admission were included. Postoperative patients, missing cause of EOC, and mortality were excluded. Predicted LOS was calculated based on Pediatric Risk of Mortality scores. Patients with aLOS > pLOS (group A) were compared with patients with aLOS ≤ pLOS (group B). Multivariable logistic regression was performed to adjust for confounders.

RESULTS

Of 587 patients transferred to PICU after hospital admission during the study period, 286 patients met the study criteria (group A, n = 69; group B, n = 217). The 2 groups were similar in age, race, the severity of illness, and ED vitals and therapies. A higher proportion of patients in group B had EOC ≤ 6 hours of admission (51.1% vs 36.2%, P = 0.03), and a higher proportion in group A required Mechanical ventilation (56% vs 34%, P = 0.01). On multivariable regression, patients who required EOC to PICU after 6 hours after admission (adjusted odds ratio, 2.27; 95% confidence interval [CI] 1.2, 4.0), p,<0.01) and patients admitted to the floor from referral hospitals (adjusted odds ratio, 1.8; 95% confidence interval, 1.0-3.2), P = 0.04) had higher risk of greater than PLOS.

CONCLUSIONS

Among patients who required EOC to PICU, risk factors associated with aLOS > pLOS were patients who required EOC to PICU longer than 6 hours after admission to the hospital and patients admitted to the floor as a transfer from referral hospitals.

A prediction model for the efficacy of continuous positive airway pressure on bronchiolitis

Objectives

Prediction of the efficacy of continuous positive airway pressure (CPAP) on bronchiolitis is necessary for timely treatment. This study aims to establish a nomogram for efficacy of CPAP on bronchiolitis, and compares accuracy with Pediatric Risk of Mortality III (PRISM III), Brighton Pediatric Early Warning Score (Brighton PEWS) and Pediatric Critical Illness Score (PCIS).

Methods

From February 2014 to December 2020, data on children diagnosed with bronchiolitis and treated with CPAP in Chongqing was collected. The nomogram was evaluated by using multivariate logistic regression analysis. We compared the predictive value of model with PRISM III, PEWS and PCIS.

Results

A total of 510 children were included. The nomogram prediction model including fever, APTT, white blood cells, serum potassium concentration, lactic acid, immunodeficiency, atelectasis, lung consolidation, congenital airway dysplasia and congenital heart disease was established. The AUC of the nomogram was 0.919 in the training set and 0.947 in the validating set. The model fitted well, as evidenced by the calibration curve and Hosmer-Lemeshow goodness-of-fit test. We discovered that the nomogram significantly performed better than PRISM III, PCIS and PEWS.

Conclusions

A nomogram including ten factors for predicting the efficacy of CPAP on bronchiolitis was established. It had higher performance than the PRISM III, PCIS, and PEWS in terms of clinical benefits.

Pediatric Risk of Mortality III Score in Predicting Mortality Among Diabetic Ketoacidosis Patients in a Pediatric Intensive Care Unit

Background

Diabetic ketoacidosis (DKA) is one of the most common complications of type 1 diabetes. Mortality is not uncommon in DKA, mostly in younger children with severe DKA and those complicated with cerebral edema. Early identification of high-risk patients can help in timely interventions to improve the outcome of DKA. Pediatric Risk of Mortality (PRISM III) is a standard scoring system to objectively predict the prognosis and outcome of pediatric intensive care unit (PICU) patients.

Objective

To predict the need for inotrope and mechanical ventilation and mortality rate using PRISM III in DKA patients admitted to PICU.

Methods

A prospective observational study was conducted in the PICU of the National Institute of Child Health, Karachi, from February 2020 to September 2021 involving 114 children. PRISM III scoring protocol was applied. A PRISM III score of >8 predicted higher mortality risk. 

Results

The mean PRISM III score was 6.56 ± 3.18 with 30 (26.3%) children having a score >8. Of the 30 (26.31%) patients with >8 PRISM III scores, 14 (46.67%) needed inotropic support, 6 (20%) needed mechanical ventilation, and there were eight (26.67%) mortalities. There was no reported mortality among patients with a PRISM III score ≤8. All differences were statistically significant (p < .05).

Conclusion

PRISM III is a highly sophisticated scoring system that can aid clinicians in the early prediction of adverse clinical outcomes in patients with DKA. Robust scientific evidence supporting its clinical application can help practically improve the outcome of DKA in young patients.

Beyond Mortality: Does Trauma-related Injury Severity Score Predict Complications or Lengths of Stay Using a Large Administrative Dataset

Introduction:

Despite its shortcomings, trauma-related injury severity score (TRISS) correlates well with mortality in large trauma datasets. The aim of this study was to determine if TRISS correlates with morbidity and hospital lengths of stay using data from an institutional registry at a Level I Trauma Center. We hypothesized that higher TRISS correlates with increased complications and longer hospital stays.

Methods:

A retrospective review of our institutional registry was performed, examining all trauma admissions between January 1999 and June 30, 2015. Out of a total of 32,026 patient records, TRISS data were available in 23,205 cases. Abstracted data included patient age, gender, ISS, TRISS, presence of complication, Glasgow Coma Scale (GCS), hospital length of stay, intensive care unit LOS, step-down unit LOS, functional independence measure, and 30-day mortality.

Results:

TRISS was highly predictive of mortality, with the AUC value of 0.95 (95% confidence interval 0.936–0.954, P < 0.01) compared to ISS (AUC 0.794), GCS (AUC 0.827), and age (AUC 0.650). TRISS also performed better than the other variables in terms of the ability to predict morbidity events (AUC 0.813). TRISS was comparable to ISS in terms of prediction of ICU admission (AUC 0.801 versus 0.811, respectively). After correcting for patient age and gender, higher TRISS significantly correlated with longer hospital stays .

Conclusions:

Despite previous criticisms, we found that TRISS is superior to ISS for mortality and morbidity prediction. TRISS correlated significantly with a hospital, step down, and ICU lengths of stay using a large administrative dataset.

Meta-Analysis for the Prediction of Mortality Rates in a Pediatric Intensive Care Unit Using Different Scores: PRISM-III/IV, PIM-3, and PELOD-2

Introduction: The risk of mortality is higher in pediatric intensive care units (PICU). To prevent mortality in critically ill infants, optimal clinical management and risk stratification are required. Aims and Objectives: To assess the accuracy of PELOD-2, PIM-3, and PRISM-III/IV scores to predict outcomes in pediatric patients. Results: A total of 29 studies were included for quantitative synthesis in meta-analysis. PRISM-III/IV scoring showed pooled sensitivity of 0.78; 95% CI: 0.72-0.83 and pooled specificity of 0.75; 95% CI: 0.68-0.81 with 84% discrimination performance (SROC 0.84, 95% CI: 0.80-0.87). In the case of PIM-3, pooled sensivity 0.75; 95% CI 0.71-0.79 and pooled specificity 0.76; 95% CI 0.73-0.79 were observed with good discrimination power (SROC, 0.82, 95% CI 0.78-0.85). PELOD-2 scoring system had pooled sensitivity of 0.78 (95% CI: 0.71-0.83) and combined specificity of 0.75 (95% CI: 0.68-0.81), as well as good discriminating ability (SROC 0.83, 95% CI: 0.80-0.86) for mortality prediction in PICU patients. Conclusion: PRISM-III/IV, PIM-3, and PELOD-2 had good performance for mortality prediction in PICU but with low to moderate certainty of evidence. More well-designed studies are needed for the validation of the study results.