Evaluating the influence of data collector training for predictive risk of death models: an observational study.

BACKGROUND: Severity-of-illness scoring systems are widely used for quality assurance and research. Although validated by trained data collectors, there is little data on the accuracy of real-world data collection practices. OBJECTIVE: To evaluate the influence of formal data collection training on the accuracy of scoring system data in intensive care units (ICUs). STUDY DESIGN AND METHODS: Quality assurance audit conducted using survey methodology principles. Between June and December 2018, an electronic document with details of three fictitious ICU patients was emailed to staff from 19 Australian ICUs who voluntarily submitted data on a web-based data entry form. Their entries were used to generate severity-of-illness scores and risks of death (RoDs) for four scoring systems. The primary outcome was the variation of severity-of-illness scores and RoDs from a reference standard. RESULTS: 50/83 staff (60.3%) submitted data. Using Bayesian multilevel analysis, severity-of-illness scores and RoDs were found to be significantly higher for untrained staff. The mean (95% high-density interval) overestimation in RoD due to training effect for patients 1, 2 and 3, respectively, were 0.24 (0.16, 0.31), 0.19 (0.09, 0.29) and 0.24 (0.1, 0.38) respectively (Bayesian factor >300, decisive evidence). Both groups (trained and untrained) had wide coefficients of variation up to 38.1%, indicating wide variability. Untrained staff made more errors in interpreting scoring system definitions. INTERPRETATION: In a fictitious patient dataset, data collection staff without formal training significantly overestimated the severity-of-illness scores and RoDs compared with trained staff. Both groups exhibited wide variability. Strategies to improve practice may include providing adequate training for all data collection staff, refresher training for previously trained staff and auditing the raw data submitted by individual ICUs. The results of this simulated study need revalidation on real patients.

Chloroform ingestion causing severe gastrointestinal injury, hepatotoxicity and dermatitis confirmed with plasma chloroform concentrations.

CONTEXT: Poisoning due to chloroform ingestion is rare. The classic features of acute chloroform toxicity include central nervous system (CNS) and respiratory depression, and delayed hepatotoxicity. CASE DETAILS: A 30-year-old female ingested 20-30 mL of 99% chloroform solution, which caused rapid loss of consciousness, transient hypotension and severe respiratory depression requiring endotracheal intubation and ventilation. She was alert by 12 h and extubated 16 h post-overdose. At 38-h post-ingestion, her liver function tests started to rise and she was commenced on intravenous acetylcysteine. Her alanine transaminase (1283 U/L), aspartate transaminase (734 U/L) and international normalized ratio (2.3) peaked 67- to 72-h post-ingestion. She also developed severe abdominal pain, vomiting and diarrhoea. An abdominal CT scan was consistent with severe enterocolitis, and an upper gastrointestinal endoscopy showed erosive oesophagitis, severe erosive gastritis and ulceration. She was treated with opioid analgesia, proton pump inhibitors, sucralfate and total parenteral nutrition. Secretions caused a contact dermatitis of her face and back. Nine days post-ingestion she was able to tolerate food. Her liver function tests normalized and the dermatitis resolved. Chloroform was measured using headspace gas chromatograph mass spectrometry, with a peak concentration of 2.00 µg/mL, 4 h 20 min post-ingestion. The concentration-time data fitted a 1-compartment model with elimination half-life 6.5 h. DISCUSSION: In addition to early CNS depression and delayed hepatotoxicity, we report severe gastrointestinal injury and dermatitis with chloroform ingestion. Recovery occurred with good supportive care, acetylcysteine and management of gastrointestinal complications.