Author, date and country | Patient group | Study type (level of evidence) | Outcomes | Key results | Study Weaknesses |
---|---|---|---|---|---|
Chan et al 1993 Australia | 393 patients who presented to the ED with a history or evidence of overdose (of a drug with no antidote) who had GCS documented at presentation | Retrospective analysis | GCS ≤8/15 for prediction of intubation | 67% of patients with GCS ≤8/15 were intubated. GCS ≤8/15 had sensitivity 90% (95% CI 81-99%) and specificity 95% (93-97%) for prediction of intubation | Study only assesses what actually happened (whether patients were intubated or not). We do not know whether it was actually necessary to intubate the patients with GCS ≤8/15. No reporting of complications in semi-conscious patients who were/were not intubated. |
Relationship between GCS and intubation (logistic regression analysis) | Odds ratio 0.48 (95% CI 0.4-0.59), P<0.0001 (i.e. odds of intubation increase approximately two-fold for every point decrease in GCS) | ||||
Emerman et al 1987 United States | All 92 patients age ≥17 years who were admitted to Cleveland Metropolitan General Hospital with TCA overdose between 1975 and 1985. | Retrospective analysis | Association between GCS and complications (hypoventilation, loss of protective airway reflexes, hypotension, seizures, haemodynamically significant arrhythmias or death | Significant association (P<0.001). GCS was significantly better than QRS interval (P<0.001) | Retrospective 38 patients had a mixed drug overdose (although subgroup analysis of patients with pure TCA overdose yielded similar results) Only 92 patients included over a 10 year period. |
GCS ≤8 for prediction of serious complications | Sensitivity 89%, specificity 88%. GCS≤8 was significantly more sensitive than QRS ≥100ms (P<0.05) | ||||
Sensitivity of GCS ≤8 for prediction of individual complications | Hypoventilation or loss of protective airway reflexes: 86.5%; Death, hypotension, seizures, haemodynamically significant arrhythmias: 100% | ||||
Logistic regression model for prediction of complications | Only GCS was a significant independent predictor of complications | ||||
Hulten et al 1992 Sweden | 67 patients ≥14 years from four centres with suspected TCA overdose. Excluded if mixed overdose detected and TCA was not the major cause of symptoms. Matthew-Lawson coma grade recorded | Prospective diagnostic cohort study | Matthew-Lawson coma grade ≥3 for prediction of serious complications (seizures, hypotension (systolic BP <100mmHg), arrhythmias, need for intubation) | Sensitivity 65%, specificity 94% | Matthew-Lawson coma grade not universally accepted for assessing conscious level (GCS not recorded) Need for intubation included as an outcome. Physicians may have decided to intubate on the basis of coma grade alone, thus introducing significant bias. |
Matthew-Lawson coma grade ≥2 for prediction of serious complications | Sensitivity 81%, specificity 77% | ||||
Matthew-Lawson coma grade vs. QRS duration and plasma TCA level for prediction of serious complications | Matthew-Lawson coma grade was the strongest predictor in logistic regression model. QRS duration >100ms was more sensitive for prediction of complications (86%) but less specific (75%) | ||||
Liisanantti et al 2003 Finland | 257 patients admitted to ICU with self-poisoning of psychopharmaceutical drugs between November 1989 and October 2000 Classed as conscious (GCS 8-15) or unconscious (3-7) based on ‘approximate GCS’ 73 patients (28.4%) met criteria for aspiration pneumonia | Retrospective analysis | Unconsciousness on discovery for prediction of aspiration pneumonia | OR 2.9 (95% CI 1.2 – 7.0) | Retrospective ‘Approximate GCS’ used due to lack of universal use of GCS in Finland Selection bias: Only patients admitted to ICU included GCS at time of initial contact with medical services not recorded in 20.6% of cases Possible reporting bias – this centre may have noticed a particularly high rate of aspiration pneumonia in patients intubated late, prompting this analysis. |
Unconsciousness in ED for prediction of aspiration pneumonia | 2.2 (0.9 – 5.4) | ||||
Unconscious when found and intubated on discovery for prediction of aspiration pneumonia | 1.8 (0.6 – 5.7) | ||||
Unconscious when found and intubated in ED for prediction of aspiration pneumonia | 3.4 (1.3 – 8.7) | ||||
Unconscious when found and intubated in ICU for prediction of aspiration pneumonia | 3.5 (1.1 – 10.7) | ||||
Mean length of hospital stay | Aspiration pneumonia 6.5 days (95% CI 5.3 – 7.6); No aspiration pneumonia 2.8 days (2.5 – 3.1) | ||||
Mean length of ICU stay | Aspiration pneumonia 1.9 days (1.3 – 2.6); No aspiration pneumonia 0.9 days (0.8 – 0.9) | ||||
Unvenir et al 2006 Turkey | 356 patients who presented to the ED with antidepressant ingestion between 1993 and 2004 | Retrospective analysis | Relationship between GCS and intubation rates | 34 (9.6%) patients were intubated. Low GCS was cited as the reason for intubation in 58.8% of cases. 100% of patients with GCS ≤8 were intubated compared with 5.6% of patients with GCS >8 | Retrospective Obvious bias in outcome reporting: Almost 60% of patients were intubated primarily because of low GCS. There was no attempt to correlate low GCS with incidence of complications |
Logistic regression model for prediction of the need for intubation | GCS the strongest independent predictor of need for intubation (OR 29.4, 95% CI 8.1 – 106.4). Presence of seizures was also an independent predictor of intubation. Age, gender and QRS prolongation were not independent predictors | ||||
Yanagawa et al 2006 Japan | 175 patients who were intubated following psychotropic drug overdose between January 2000 and December 2005 Patients were divided into an “early group” (extubated within 2 days) and a late group (not extubated within 2 days) | Retrospective analysis | Mean GCS (on arrival) in early and late groups | Early group 6.2 (SE 0.2); Late group 4.5 (SE 0.3), P=0.001 | Retrospective Significant selection bias: only intubated patients included No analysis of different GCS cut-offs for prediction of late extubation |
Logistic regression model for prediction of “late” extubation (>2 days) | GCS on arrival was an independent predictor of late extubation (OR 0.78, 95% CI 0.65 – 0.95) |