Predicting transfers to intensive care in children using CEWT and other early warning systems.

Background and Objective: The Children's Early Warning Tool (CEWT), developed in Australia, is widely used in many countries to monitor the risk of deterioration in hospitalized children. Our objective was to compare CEWT prediction performance against a version of the Bedside Pediatric Early Warning Score (Bedside PEWS), Between the Flags (BTF), and the pediatric Calculated Assessment of Risk and Triage (pCART). Methods: We conducted a retrospective observational study of all patient admissions to the Comer Children's Hospital at the University of Chicago between 2009-2019. We compared performance for predicting the primary outcome of a direct ward-to-intensive care unit (ICU) transfer within the next 12 h using the area under the receiver operating characteristic curve (AUC). Alert rates at various score thresholds were also compared. Results: Of 50,815 ward admissions, 1,874 (3.7%) experienced the primary outcome. Among patients in Cohort 1 (years 2009-2017, on which the machine learning-based pCART was trained), CEWT performed slightly worse than Bedside PEWS but better than BTF (CEWT AUC 0.74 vs. Bedside PEWS 0.76, P < 0.001; vs. BTF 0.66, P < 0.001), while pCART performed best for patients in Cohort 2 (years 2018-2019, pCART AUC 0.84 vs. CEWT AUC 0.79, P < 0.001; vs. BTF AUC 0.67, P < 0.001; vs. Bedside PEWS 0.80, P < 0.001). Sensitivity, specificity, and positive predictive values varied across all four tools at the examined thresholds for alerts. Conclusion: CEWT has good discrimination for predicting which patients will likely be transferred to the ICU, while pCART performed the best.

Can you hear me? Analysis of a Queensland patient-initiated escalation process and the importance of communication in surgical care.

BACKGROUND: Ryan's Rule is a three-step escalation process established by Queensland Health whereby patients, their families and carers can escalate concerns if a patient's health is worsening or not improving as expected. This study analysed the incidence, causes and outcomes of Ryan's Rule cases involving patients admitted under various surgical specialties across Queensland. METHODS: A retrospective analysis was undertaken of cases wherein Ryan's Rule was invoked by surgical patients between 2016 and 2021. The analysis focused on rationale for invoking Ryan's Rule, clinical actions undertaken, outcomes and patient feedback. RESULTS: The study analysed 364 activations of Ryan's Rule among surgical patients admitted across ten Queensland Health hospitals. The common causes for invoking Ryan's Rule were concern or disagreement regarding the management plan (39%), poor understanding of the care plan (32%) and feeling that concerns were not being heard (35%). Less than 1 % of cases (0.8%) met early warning criteria for deterioration, and only 0.5% required admission to ICU. The majority of Ryan's Rule cases (92%) were resolved through discussion between the treating surgical team, the patient and their representatives. In 74% of cases, the management plan did not change following the Ryan's Rule review. CONCLUSION: Communication is the overwhelming theme throughout the Ryan's Rule cases invoked by surgical patients. The majority of Ryan's Rules cases were initiated by issues in communication and understanding between clinicians and patients. The vast majority of cases were resolved by surgical teams establishing and maintaining clear communication with patients, their families and carers.

Predicting clinical deterioration with Q-ADDS compared to NEWS, Between the Flags, and eCART track and trigger tools.

BACKGROUND: Early warning tools have been widely implemented without evidence to guide (a) recognition and (b) response team expertise optimisation. With growing databases from MET-calls and digital hospitals, we now have access to guiding information. The Queensland Adult-Deterioration-Detection-System (Q-ADDS) is widely used and requires validation. AIM: Compare the accuracy of Q-ADDS to National Early Warning Score (NEWS), Between-the-Flags (BTF) and the electronic Cardiac Arrest Risk Triage Score (eCART)). METHODS: Data from the Chicago University hospital database were used. Clinical deterioration was defined as unplanned admission to ICU or death. Currently used NEWS, BTF and eCART trigger thresholds were compared with a clinically endorsed Q-ADDS variant. RESULTS: Of 224,912 admissions, 11,706 (5%) experienced clinical deterioration. Q-ADDS (AUC 0.71) and NEWS (AUC 0.72) had similar predictive accuracy, BTF (AUC 0.64) had the lowest, and eCART (AUC 0.76) the highest. Early warning alert (advising ward MO review) had similar NPV (99.2-99.3%), for all the four tools however sensitivity varied (%: Q-ADDS = 47/NEWS = 49/BTF = 66/eCART = 40), as did alerting rate (% vitals sets: Q-ADDS = 1.4/NEWS = 3.5/BTF = 4.1/eCART = 3.4). MET alert (advising MET/critical-care review) had similar NPV for all the four tools (99.1-99.2%), however sensitivity varied (%: Q-ADDS = 14/NEWS = 24/BTF = 19/eCART = 29), as did MET alerting rate (%: Q-ADDS = 1.4/NEWS = 3.5/BTF = 4.1/eCART = 3.4). High-severity alert (advising advanced ward review, Q-ADDS only): NPV = 99.1%, sensitivity = 26%, alerting rate = 3.5%. CONCLUSION: The accuracy of Q-ADDS is comparable to NEWS, and higher than BTF, with eCART being the most accurate. Q-ADDS provides an additional high-severity ward alert, and generated significantly fewer MET alerts. Impacts of increased ward awareness and fewer MET alerts on actual MET call numbers and patient outcomes requires further evaluation.

Motivations for self-injury in an adolescent inpatient population: development of a self-report measure.

OBJECTIVE: The aim of this study was to develop and pilot an instrument for the assessment of self-injury in adolescent inpatients. METHODS: The Self-Injury Motivation Scale was modified for use in adolescents. Thirty-eight consenting adolescent inpatients with a history of self-injury completed the Self-Injury Motivation Scale-Adolescent version (SIMS-A) and the Self-Injury Interview (SII) to collect information about a range of factors associated with self-injury, other clinical variables and demographic details. RESULTS: The SIMS-A was acceptable to this adolescent sample and motivations for self-injury were similar to those of adults using the original SIMS scale. Adolescents were, however, more likely to use self-injury for communicating to/influencing others compared to adults. The participants most frequently reported self-injury by hitting, cutting and burning. The clinical diagnosis most frequently associated with self-injury was major depression. Females reported earlier onset, higher frequency and multiple methods of self-injury compared to males. Distraction from emotional pain was the most common motivation for self-injury in both males and females. CONCLUSIONS: This pilot study suggests the SIMS-A is a useful self-report measure to assist clinicians and adolescent patients to understand a behaviour that may be associated with shame, guilt or other difficult emotions for the adolescent. Results also support the contention that there are often multiple and conflicting motivations for self-injury. Self-injury in this population was more common and severe in female adolescents compared to males, while clinical depression was a risk factor for self-injury in both males and females. The small sample size of adolescent inpatients is an important limitation of this pilot study, and research using the SIMS-A in larger samples is warranted.

Real-world use of quetiapine in early psychosis: An acute inpatient and community follow-up effectiveness study.

UNLABELLED: Objective. To evaluate the use of quetiapine in first episode psychosis in adolescents and adults in a 26-week open-label trial. Methods. Consenting patients were recruited from consecutive acute psychiatric admissions. Quetiapine was increased stepwise to 750 mg. Baseline, 2, 4, 12, 16, 20 and 26 week measurement included: BPRS, PANSS, CGI, and indices of tolerability and safety. Change was assessed using repeated measures ANOVA. Results. Of 73 first admission patients with psychosis, 15 entered the study. Loss of otherwise eligible patients was mainly related to prospective consent, which appeared to cause selection bias. All 15 patients were retained for 4-week Intention-to-Treat Analysis; nine completed the 26-week protocol (Completers Analysis). Non-completers dropped out shortly after 4 weeks. In the ITT Analysis, there was significant improvement on BPRS Total (P<0.01), PANSS Positive (P<0.05), and CGI (P<0.01) scores. No change in the 2-week BPRS Total score predicted subsequent non-response to quetiapine. In the Completers Analysis, onset of significant PANSS Negative score reduction did not occur until week 12. By 26 weeks all efficacy measures had substantially improved; and substance abuse was markedly less prevalent (P=0.02). Adverse events included postural hypotension, drowsiness, and significant weight gain (P=0.001). CONCLUSIONS: This uncontrolled trial suggests quetiapine is an effective first-line treatment in young early psychosis patients. Prospective consent is a major barrier to evaluating acute care for psychotic disorder.