The occurrence of adverse events in low-risk non-survivors in pediatric intensive care patients: an exploratory study

Adverse events in the postoperative period of cardiac surgery in a pediatric intensive care unit: the contribution of the VIS score and the RACHS-1

OBJECTIVE

To evaluate the occurrence of adverse events in the postoperative period of cardiac surgery in a pediatric intensive care unit and to find any patient characteristics that can predict such events.

METHODS

This was a historical cohort study of patients recovering in the pediatric intensive care unit for the first 7 days after cardiac surgery between April and December 2019, by reviewing the medical records. The following were reviewed: demographic, clinical, and laboratory characteristics; patient severity scores; and selected adverse events, grouped into device-related, surgical, and nonsurgical.

RESULTS

A total of 238 medical records were included. At least one adverse event occurred in 110 postoperative patients (46.2%). The total number of adverse events was 193 (81%). Vascular catheters were the most common cause, followed by cardiac arrest, bleeding, and surgical reexploration. In the univariate analysis, the vasoactive-inotropic score (VIS), Risk Adjustment in Congenital Heart Surgery (RACHS-1) score, age, Pediatric Index of Mortality (PIM-2), cardiopulmonary bypass and aortic clamping duration were significantly associated with adverse events. In the multivariate analysis, VIS ≥ 20 (OR 2.90; p = 0.004) and RACHS-1 ≥ 3 (OR 2.11; p = 0.019) were significant predictors, while age and delayed sternal closure showed only trends toward significance. To predict the occurrence of adverse events from VIS and RACHS-1, the area under the curve was 0.73 (95%CI 0.66 - 0.79).

CONCLUSION

Adverse events were quite frequent in children after cardiac surgery, especially those related to devices. The VIS and RACHS-1, used together, predicted the occurrence of adverse events well in this pediatric sample.

Intensive care drug therapy and its potential adverse effects on blood pressure and heart rate in critically ill children

BACKGROUND

Owing to complex treatment, critically ill children may experience alterations in their vital parameters. We investigated whether such hemodynamic alterations were temporally and causally related to drug therapy.

METHODS

In a university pediatric intensive care unit, we retrospectively analyzed hemodynamic alterations defined as values exceeding the limits set for heart rate (HR) and blood pressure (BP). For causality assessment, we used the World Health Organization-Uppsala Monitoring Center (WHO-UMC) system, which categorizes the probability of causality as "certain," "probable," "possible," and "unlikely."

RESULTS

Of 315 analyzed patients with 43,200 drug prescriptions, 59.7% experienced at least one hemodynamic alteration; 39.0% were affected by increased HR, 19.0% by decreased HR, 18.1% by increased BP, and 16.2% by decreased BP. According to drug information databases, 83.9% of administered drugs potentially lead to hemodynamic alterations. Overall, 88.3% of the observed hemodynamic alterations had a temporal relation to the administration of drugs; in 80.2%, more than one drug was involved. Based on the WHO-UMC system, a drug was rated as a "probable" causing factor for only 1.4% of hemodynamic alterations. For the remaining alterations, the probability ratings were lower because of multiple potential causes, e.g., several drugs.

CONCLUSIONS

Critically ill children were frequently affected by hemodynamic alterations. The administration of drugs with potentially adverse effects on hemodynamic parameters is often temporally related to hemodynamic alterations. Hemodynamic alterations are often multifactorial, e.g., due to administering multiple drugs in rapid succession; thus, the influence of individual drugs cannot easily be captured with the WHO-UMC system.

Incidence and characteristics of adverse events in paediatric inpatient care: a systematic review and meta-analysis

BACKGROUND

Adverse events (AEs) cause suffering for hospitalised children, a fragile patient group where the delivery of adequate timely care is of great importance.

OBJECTIVE

To report the incidence and characteristics of AEs, in paediatric inpatient care, as detected with the Global Trigger Tool (GTT), the Trigger Tool (TT) or the Harvard Medical Practice Study (HMPS) method.

METHOD

MEDLINE, Embase, Web of Science and Google Scholar were searched from inception to June 2021, without language restrictions. Studies using manual record review were included if paediatric data were reported separately. We excluded studies reporting: AEs for a specific disease/diagnosis/treatment/procedure, or deceased patients; study protocols with no AE outcomes; conference abstracts, editorials and systematic reviews; clinical incident reports as the primary data source; and studies focusing on specific AEs only. Methodological risk of bias was assessed using a tool based on the Quality Assessment Tool for Diagnostic Accuracy Studies 2. Primary outcome was the percentage of admissions with ≥1 AEs. All statistical analyses were stratified by record review methodology (GTT/TT or HMPS) and by type of population. Meta-analyses, applying random-effects models, were carried out. The variability of the pooled estimates was characterised by 95% prediction intervals (PIs).

RESULTS

We included 32 studies from 44 publications, conducted in 15 countries totalling 33 873 paediatric admissions. The total number of AEs identified was 8577. The most common types of AEs were nosocomial infections (range, 6.8%-59.6%) for the general care population and pulmonary-related (10.5%-36.7%) for intensive care. The reported incidence rates were highly heterogeneous. The PIs for the primary outcome were 3.8%-53.8% and 6.9%-91.6% for GTT/TT studies (general and intensive care population). The equivalent PI was 0.3%-33.7% for HMPS studies (general care). The PIs for preventable AEs were 7.4%-96.2% and 4.5%-98.9% for GTT/TT studies (general and intensive care population) and 10.4%-91.8% for HMPS studies (general care). The quality assessment indicated several methodological concerns regarding the included studies.

CONCLUSION

The reported incidence of AEs is highly variable in paediatric inpatient care research, and it is not possible to estimate a reliable single rate. Poor reporting standards and methodological differences hinder the comparison of study results.

Adverse Events in Pediatric Critical Care Nonsurvivors With a Low Predicted Mortality Risk: A Multicenter Case Control Study

OBJECTIVES

Some patients with a low predicted mortality risk in the PICU die. The contribution of adverse events to mortality in this group is unknown. The aim of this study was to estimate the occurrence of adverse events in low-risk nonsurvivors (LN), compared with low-risk survivors (LS) and high-risk PICU survivors and nonsurvivors, and the contribution of adverse events to mortality.

DESIGN

Case control study. Admissions were selected from the national Dutch PICU registry, containing 53,789 PICU admissions between 2006 and 2017, in seven PICUs. PICU admissions were stratified into four groups, based on mortality risk (low/high) and outcome (death/survival). Random samples were selected from the four groups. Cases were "LN." Control groups were as follows: "LS," "high-risk nonsurvivors" (HN), and "high-risk survivors" (HS). Adverse events were identified using the validated trigger tool method.

SETTING

Patient chart review study.

PATIENTS

Children admitted to the PICU with either a low predicted mortality risk (< 1%) or high predicted mortality risk (≥ 30%).

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

In total, 419 patients were included (102 LN, 107 LS, 104 HN, and 106 HS). LN had more complex chronic conditions (93.1%) than LS (72.9%; p < 0.01), HN (49.0%; p < 0.001), and HS (48.1%; p < 0.001). The occurrence of adverse events in LN (76.5%) was higher than in LS (13.1%) and HN (47.1%) ( p < 0.001). The most frequent adverse events in LN were hospital-acquired infections and drug/fluid-related adverse events. LN suffered from more severe adverse events compared with LS and HS ( p < 0.001). In 30.4% of LN, an adverse event contributed to death. In 8.8%, this adverse event was considered preventable.

CONCLUSIONS

Significant and preventable adverse events were found in low-risk PICU nonsurvivors. 76.5% of LN had one or more adverse events. In 30.4% of LN, an adverse event contributed to mortality.

Quality Assessment of the Literature on Quality Improvement in PICUs: A Systematic Review

OBJECTIVES

To synthesize the literature describing quality improvement in PICUs and to appraise the quality of extant research.

DATA SOURCES

We searched the PubMed, Cumulative Index to Nursing and Allied Health Literature, and the Cochrane Central Register of Controlled Trials databases between May and June 2020.

STUDY SELECTION

Peer-reviewed articles in English that report quality improvement interventions in PICUs were included. Titles and abstracts were screened, and articles were reviewed to determine whether they met quality improvement criteria.

DATA EXTRACTION

Data were abstracted using a structured template. The quality of the included articles was assessed using the Quality Improvement Minimum Quality Criteria Set and scored on a scale of 0-16.

DATA SYNTHESIS

Of the 2,449 articles identified, 158 were included in the analysis. The most common targets of quality improvement interventions were healthcare-associated infections (n = 17, 10.8%), handoffs (n = 15, 9.5%), rounds (n = 13, 8.2%), sedation/pain/delirium (n = 13, 8.2%), medication safety (n = 11, 7.0%), and unplanned extubation (n = 9, 5.7%). Of the six domains of healthcare quality described by the Institute of Medicine, patient-centeredness and timeliness were infrequently addressed, and none of the studies addressed equity. The median quality score based on the Quality Improvement Minimum Quality Criteria Set was 11.0 (25-75th interquartile range, 9.0-13.0). Although the quantity and quality of articles have been increasing, only 17% of the studies were deemed "high quality," having a score between 14 and 16. Only eight articles (5%) cited Standards for QUality Improvement Reporting Excellence guidelines for reporting quality improvement works.

CONCLUSIONS

The number of publications, including high-quality publications, on quality improvement interventions in PICUs has been increasing. However, low-quality articles continue to be published, even in recent years. Therefore, there is room for improvement in the quality of reporting.

Problems in care and avoidability of death after discharge from intensive care: a multi-centre retrospective case record review study

BACKGROUND

Over 138,000 patients are discharged to hospital wards from intensive care units (ICUs) in England, Wales and Northern Ireland annually. More than 8000 die before leaving hospital. In hospital-wide populations, 6.7-18% of deaths have some degree of avoidability. For patients discharged from ICU, neither the proportion of avoidable deaths nor the reasons underlying avoidability have been determined. We undertook a retrospective case record review within the REFLECT study, examining how post-ICU ward care might be improved.

METHODS

A multi-centre retrospective case record review of 300 consecutive post-ICU in-hospital deaths, between January 2015 and March 2018, in 3 English hospitals. Trained multi-professional researchers assessed the degree to which each death was avoidable and determined care problems using the established Structured Judgement Review method.

RESULTS

Agreement between reviewers was good (weighted Kappa 0.77, 95% CI 0.64-0.88). Discharge from an ICU for end-of-life care occurred in 50/300 patients. Of the remaining 250 patients, death was probably avoidable in 20 (8%, 95% CI 5.0-12.1) and had some degree of avoidability in 65 (26%, 95% CI 20.7-31.9). Common problems included out-of-hours discharge from ICU (168/250, 67.2%), suboptimal rehabilitation (167/241, 69.3%), absent nutritional planning (76/185, 41.1%) and incomplete sepsis management (50/150, 33.3%).

CONCLUSIONS

The proportion of deaths in hospital with some degree of avoidability is higher in patients discharged from an ICU than reported in hospital-wide populations. Extrapolating our findings suggests around 550 probably avoidable deaths occur annually in hospital following ICU discharge in England, Wales and Northern Ireland. This avoidability occurs in an elderly frail population with complex needs that current strategies struggle to meet. Problems in post-ICU care are rectifiable but multi-disciplinary.

TRIAL REGISTRATION

ISRCTN14658054.

Identification of adverse events in pediatric severe traumatic brain injury patients to target evidence-based prevention for increased performance improvement and patient safety

INTRODUCTION

Trauma centres are required to continuously measure, evaluate and improve care. Severe traumatic brain injury (sTBI) patients are highly susceptible to adverse events (AE; unintended, potentially harmful events resulting from health care) due to their unstable condition requiring high risk interventions, multiple medications and invasive monitoring. Objectives were to describe: (1) a process for identifying AE in pediatric sTBI patients to identify safety risks, target and implement evidence-based prevention strategies; and (2) a tertiary care PICU's sTBI AE experience.

METHODS

Merging databases, Trauma Registry with Adverse Events Management System, identified AE in patients. Details on the event location, type and severity of harm were combined with patient demographics, injury data, costs and outcomes in a cohort of 193 PICU sTBI patients (2000-15). Descriptive statistics and multivariate logistic regression were undertaken to describe AE, and their association with risk factors and outcomes.

RESULTS

103/193 sTBI patients (53%) suffered at least one AE. 238 AE occurred (1.23 AE/patient), with 30% of patients having 2+ AE. Most resulted in no harm (54%) with decubitus ulcers (15%) the most common AE. AE patients were more likely to be monitored for elevated ICP (p<0.001), with fewer ventilator-free days (p=0.015), longer LOS for PICU (11 vs. 3.5 days; p<0.001) and in-hospital (31 vs. 11 days; p<0.001) with higher median costs ($121,234 vs. $53,341; p=0.031). AE patients required a higher level of care on discharge (p=0.035).

CONCLUSIONS

Merging databases is an effective practice to identify AE and safety risks in trauma populations. Utilizing this method, a PICU AE rate of 1.23 events per patient was found with TBI severity the most important factor to increase the odds of AE. AE represent performance improvement events, opportunities to optimize care, decrease costs, as well as improve outcomes, to ultimately improve patient safety in this vulnerable population.