Age in addition to RETTS triage priority substantially improves 3-day mortality prediction in emergency department patients: a multi-center cohort study.

BACKGROUND: Previous studies have shown varying results on the validity of the rapid emergency triage and treatment system (RETTS), but have concluded that patient age is not adequately considered as a risk factor for short term mortality. Little is known about the RETTS system's performance between different chief complaints and on short term mortality. We therefore aimed to evaluate how well a model including both RETTS triage priority and patient age (TP and age model) predicts 3-day mortality compared to a univariate RETTS triage priority model (TP model). Secondarily, we aimed to evaluate the TP model compared to a univariate age model (age model) and whether these three models' predictive performance regarding 3-day mortality varies between patients with different chief complaints in an unsorted emergency department patient population. METHODS: This study was a prospective historic observational cohort study, using logistic regression on a cohort of patients seeking emergency department care in Stockholm during 2012-2016. Patient visits were stratified into the 10 chief complaint categories (CCC) with the highest number of deceased patients within 3 days of arrival, and to "other chief complaints". Patients with priority 1 were excluded. RESULTS: The studied cohort contained 1,690,981 visits by 788,046 different individuals. The TP and age model predicted 3-day mortality significantly and substantially better than both univariate models in the total population and in each studied CCC. The age model predicted 3-day mortality significantly and substantially better than the TP model in the total population and for all but three CCCs and was not inferior in any CCC. There were substantial differences between the studied CCCs in the predictive ability of each of the three models. CONCLUSIONS: Adding patient age to the RETTS triage priority system significantly and substantially improves 3-day mortality prediction compared to RETTS priority alone. Age alone is a non-inferior predictor of 3-day mortality compared to RETTS priority. The impact on 3-day mortality prediction of adding patient age to RETTS priority varies between CCCs but is substantial for all CCCs and for the total population. Including age as a variable in future revisions of RETTS could substantially improve patient safety.

Braking reaction time before and after surgery for patients with recurrent lumbar disc herniation.

OBJECTIVE: The positive effect of primary lumbar disc surgery on braking reaction time (BRT) has already been shown. The authors investigated the effect of recurrent lumbar disc herniation surgery on BRT. METHODS: Twenty-four patients (mean age 49.9 years) were investigated for BRT 1 day before surgery, postoperatively before hospital discharge, and 4 to 5 weeks after surgery. Thirty-one healthy subjects served as a control group. RESULTS: Significant improvement of BRT following surgery was found in all patients (p < 0.05). For patients with right-sided recurrent disc herniation, median BRT was 736 msec before surgery, 685 msec immediately postoperatively, and 662 msec at follow-up. For patients with left-sided recurrent disc herniation, median BRT was 674 msec preoperatively, 585 msec postoperatively, and 578 msec at follow-up. Control subjects had a median BRT of 487, which differed significantly from the patient BRTs at all 3 test times (p < 0.05). CONCLUSIONS: A significant reduction in BRT in patients with recurrent disc herniation was found following lumbar disc revision surgery, indicating a positive impact of surgery. Due to the improvement in BRT observed immediately after surgery, we conclude that it is appropriate to recommend that patients keep driving after being discharged from the hospital.