Importance of comorbidities in comatose survivors of shockable and non-shockable out-of-hospital cardiac arrest treated with target temperature management.

OBJECTIVE: Comorbidity prior to out-of-hospital cardiac arrest (OHCA) and primary rhythm in relation to survival is not well established. We aimed to assess the prognostic importance of comorbidity in relation to primary rhythm in OHCA-patients treated with Target Temperature Management (TTM). DESIGN: Consecutive comatose survivors of OHCA treated with TTM in hospitals in the Copenhagen area between 2002-2011 were included. Utstein-based pre- and in-hospital data collection was performed. Data on comorbidity was obtained from The Danish National Patient Register and patient charts, assessed by the Charlson Comorbidity Index (CCI). RESULTS: A total of 666 patients were included. A third (n = 233, 35%) presented with non-shockable rhythm, and they were less often male (64% vs. 82%, p < .001), and OHCA in public, witnessed OHCA, and bystander cardiopulmonary resuscitation (CPR) were less common compared to patients with a shockable primary rhythm (public: 27% vs. 48%, p < .001, witnessed: 79% vs. 90%, p < .001, bystander CPR: 47% vs. 63%, p < .001). 30-day mortality was 62% compared to 28% in patients with non-shockable and shockable rhythm, respectively. By Cox-regression analyses, any comorbidity (CCI ≥1) was the only factor independently associated with 30-day mortality in patients with non-shockable rhythm (HR =1.9 (95% CI: 1.2-2.9), p < .01), whereas in patients with shockable rhythm comorbidity was not associated with outcome after adjustment for prognostic factors (HR = 0.82 (0.55-1.2), p = .34). No significant interaction between primary rhythm and comorbidity in terms of mortality was present. CONCLUSION: A higher comorbidity burden was independently associated with a higher 30-day mortality rate in patients presenting with non-shockable primary rhythm but not in patients with shockable rhythm.

Editor's Choice-Is the pre-hospital ECG after out-of-hospital cardiac arrest accurate for the diagnosis of ST-elevation myocardial infarction?

BACKGROUND: Current guidelines recommend that comatose out-of-hospital cardiac arrest patients with ST-segment elevations (STEs) following return of spontaneous circulation (ROSC) should be referred for an acute coronary angiography. We sought to investigate the diagnostic value of the pre-hospital ROSC-ECG in predicting ST-elevation myocardial infarction (STEMI). METHOD: ROSC-ECGs of 145 comatose survivors of out-of-hospital cardiac arrest, randomly assigned in the Target Temperature Management trial, were classified according to the current STEMI ECG criteria (third universal definition of myocardial infarction). RESULTS: STEs were present in the pre-hospital ROSC-ECG of 78 (54%) patients. A final diagnosis revealed that 69 (48%) patients had STEMI, 31 (21%) patients had non-STEMI and 45 (31%) patients had no myocardial infarction. STE in ROSC-ECGs had a sensitivity of 74% (95% confidence interval (CI) 62-84), specificity of 65% (95% CI 53-75) and a positive and negative predictive value of 65% (95% CI 54-76) and 73% (95% CI 61-83) in predicting STEMI. Time to ROSC was significantly longer (24 minutes vs. 19 minutes, P=0.02) in STE compared with no STE patients. Percutaneous coronary intervention was successful in 68% versus 36% (P<0.001) of STE compared to no STE patients. No significant difference was found in 180-day mortality rates between STE and no STE patients (36% vs. 30%, Plogrank=0.37). CONCLUSION: The pre-hospital ROSC-ECG is a suboptimal diagnostic tool to predict STEMI and therefore not a sensitive tool for triage to cardiac centres. This supports the incentive of referring all comatose survivors of out-of-hospital cardiac arrest of suspected cardiac origin to a tertiary heart centre with the availability of acute coronary angiography, even in the absence of STEs.

Prognostic value of reduced discrimination and oedema on cerebral computed tomography in a daily clinical cohort of out-of-hospital cardiac arrest patients.

PURPOSE: Assessment of prognosis after out-of-hospital cardiac arrest (OHCA) is challenging. Cerebral computed tomography (cCT) scans are widely available, but the use in prognostication of comatose OHCA-patients is unclear. We evaluated the prognostic value of cCT in a clinical cohort of OHCA-patients. METHOD: A total of 1120 consecutive OHCA-patients with cardiac aetiology and successful or on-going resuscitation at hospital arrival were included (2002-2011). Utstein-criteria for registration of pre-hospital data and review of patient-charts for post-resuscitation care including cCT results were used. The primary endpoint was 30-day mortality analysed by log-rank and multivariate Cox-regression analyses. RESULTS: A cCT scan was performed in 341(30%) of the clinical OHCA-cohort, and an early CT (<24h) was performed in 188 patients. The early CT was found 'normal' in 163(89%) and with reduced discrimination in 7(4%) of patients, which was independently associated with higher 30-day mortality compared with OHCA-patients with an early cCT (HR(adjusted) = 3.5 (95%CI: 1.0-11.5), p = 0.04). A late CT (≥ 24 h) was performed in 153 patients in a median of 3 days (IQR: 2-5) and was 'normal' in 89(60%), 'cerebral bleeding' in 4(3%), 'new cerebral infarction' in 10(7%), and 'reduced discrimination between white and grey matter and/or oedema' in 45(30%) patients. 'Reduced discrimination and/or oedema' by late cCT was independently associated with higher 30-day mortality compared to patients with a normal late CT (HR(adjusted) = 2.6 (95%CI: 1.4-4.8, p = 0.002). CONCLUSION: Our observations suggest that a cCT may be useful as part of the neurological prognostication in patients with OHCA. 'Reduced discrimination between white and grey matter and/or oedema' on cCT was independently associated with a poor prognosis.

The formation and design of the TRIAGE study--baseline data on 6005 consecutive patients admitted to hospital from the emergency department.

BACKGROUND: Patient crowding in emergency departments (ED) is a common challenge and associated with worsened outcome for the patients. Previous studies on biomarkers in the ED setting has focused on identification of high risk patients, and and the ability to use biomarkers to identify low-risk patients has only been sparsely examined. The broader aims of the TRIAGE study are to develop methods to identify low-risk patients appropriate for early ED discharge by combining information from a wide range of new inflammatory biomarkers and vital signs, the present baseline article aims to describe the formation of the TRIAGE database and characteristize the included patients. METHODS: We included consecutive patients ≥ 17 years admitted to hospital after triage staging in the ED. Blood samples for a biobank were collected and plasma stored in a freezer (-80 °C). Triage was done by a trained nurse using the Danish Emergency Proces Triage (DEPT) which categorizes patients as green (not urgent), yellow (urgent), orange (emergent) or red (rescusitation). Presenting complaints, admission diagnoses, comorbidities, length of stay, and 'events' during admission (any of 20 predefined definitive treatments that necessitates in-hospital care), vital signs and routine laboratory tests taken in the ED were aslo included in the database. RESULTS: Between September 5(th) 2013 and December 6(th) 2013, 6005 patients were included in the database and the biobank (94.1 % of all admissions). Of these, 1978 (32.9 %) were categorized as green, 2386 (39.7 %) yellow, 1616 (26.9 %) orange and 25 (0.4 %) red. Median age was 62 years (IQR 46-76), 49.8 % were male and median length of stay was 1 day (IQR 0-4). No events were found in 2658 (44.2 %) and 158 (2.6 %) were admitted to intensive or intermediate-intensive care unit and 219 (3.6 %) died within 30 days. A higher triage acuity level was associated with numerous events, including acute surgery, endovascular intervention, i.v. treatment, cardiac arrest, stroke, admission to intensive care, hospital transfer, and mortality within 30 days (p < 0.001). CONCLUSION: The TRIAGE database has been completed and includes data and blood samples from 6005 unselected consecutive hospitalized patients. More than 40 % experienced no events and were therefore potentially unnecessary hospital admissions.