Aim We sought to describe the contemporary annual incidence of cardiogenic shock (CS) following acute myocardial infarction (AMICS), the proportion of patients developing CS following ST‐elevation myocardial infarction (STEMI), and other temporal changes in AMICS in Denmark between 2010 and 2017. Methods and results Medical records of patients suspected of having AMICS during 2010–2017 were reviewed to identify consecutive patients with AMICS in a cohort corresponding to two‐thirds of the Danish population. Due to changes in recruitment area over the study period, population‐based incidence could only be calculated from 2012 to 2017. A total of 1716 patients with AMICS were identified and an increase in the annual incidence was observed, from a nadir 65.3 per million person‐years in 2013 to 80.0 per million person‐years in 2017 (P‐value for trend < 0.001). This trend corresponded to an increase in patients with non‐STEMI and a decrease in patients developing CS after STEMI (10.0–6.6%, P‐value for trend < 0.001) Also, mean arterial blood pressure at the time of AMICS was lower (63 ± 11 mmHg to 61 ± 13 mmHg, P‐value for trend = 0.001) and the frequency of patients with left ventricular ejection fraction ≤ 30% increased (61.8%–71.4%, P‐value for trend = 0.004). The annual 30‐day mortality during the study period remained unchanged at about 50%. Conclusion The incidence rate of AMICS increased in the Danish population between 2012 and 2017. Fewer patients with STEMI developed CS, and haemodynamic severity of CS increased during the study period; however, survival rates remained unchanged.

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Background Cardiogenic shock (CS) is a heterogeneous syndrome with varied presentations and outcomes. We used a machine learning approach to test the hypothesis that patients with CS have distinct phenotypes at presentation, which are associated with unique clinical profiles and in‐hospital mortality. Methods and Results We analyzed data from 1959 patients with CS from 2 international cohorts: CSWG (Cardiogenic Shock Working Group Registry) (myocardial infarction [CSWG‐MI; n=410] and acute‐on‐chronic heart failure [CSWG‐HF; n=480]) and the DRR (Danish Retroshock MI Registry) (n=1069). Clusters of patients with CS were identified in CSWG‐MI using the consensus k means algorithm and subsequently validated in CSWG‐HF and DRR. Patients in each phenotype were further categorized by their Society of Cardiovascular Angiography and Interventions staging. The machine learning algorithms revealed 3 distinct clusters in CS: "non‐congested (I)", "cardiorenal (II)," and "cardiometabolic (III)" shock. Among the 3 cohorts (CSWG‐MI versus DDR versus CSWG‐HF), in‐hospital mortality was 21% versus 28% versus 10%, 45% versus 40% versus 32%, and 55% versus 56% versus 52% for clusters I, II, and III, respectively. The "cardiometabolic shock" cluster had the highest risk of developing stage D or E shock as well as in‐hospital mortality among the phenotypes, regardless of cause. Despite baseline differences, each cluster showed reproducible demographic, metabolic, and hemodynamic profiles across the 3 cohorts. Conclusions Using machine learning, we identified and validated 3 distinct CS phenotypes, with specific and reproducible associations with mortality. These phenotypes may allow for targeted patient enrollment in clinical trials and foster development of tailored treatment strategies in subsets of patients with CS.

BACKGROUNDThe appropriate oxygenation target for mechanical ventilation in comatose survivors of out-of-hospital cardiac arrest is unknown. METHODSIn this randomized trial with a 2-by-2 factorial design, we randomly assigned comatose adults with out-of-hospital cardiac arrest in a 1:1 ratio to either a restrictive oxygen target of a partial pressure of arterial oxygen (Pao 2 ) of 9 to 10 kPa (68 to 75 mm Hg) or a liberal oxygen target of a Pao 2 of 13 to 14 kPa (98 to 105 mm Hg); patients were also assigned to one of two blood-pressure targets (reported separately). The primary outcome was a composite of death from any cause or hospital discharge with severe disability or coma (Cerebral Performance Category [CPC] of 3 or 4; categories range from 1 to 5, with higher values indicating more severe disability), whichever occurred first within 90 days after randomization. Secondary outcomes were neuron-specific enolase levels at 48 hours, death from any cause, the score on the Montreal Cognitive Assessment (ranging from 0 to 30, with higher scores indicating better cognitive ability), the score on the modified Rankin scale (ranging from 0 to 6, with higher scores indicating greater disability), and the CPC at 90 days. RESULTSA total of 789 patients underwent randomization. A primary-outcome event occurred in 126 of 394 patients (32.0%) in the restrictive-target group and in 134 of 395 patients (33.9%) in the liberal-target group (hazard ratio, 0.95; 95% confidence interval, 0.75 to 1.21; P = 0.69). At 90 days, death had occurred in 113 patients (28.7%) in the restrictive-target group and in 123 (31.1%) in the liberal-target group. On the CPC, the median category was 1 in the two groups; on the modified Rankin scale, the median score was 2 in the restrictive-target group and 1 in the liberaltarget group; and on the Montreal Cognitive Assessment, the median score was 27 in the two groups. At 48 hours, the median neuron-specific enolase level was 17 μg per liter in the restrictive-target group and 18 μg per liter in the liberaltarget group. The incidence of adverse events was similar in the two groups. CONCLUSIONSTargeting of a restrictive or liberal oxygenation strategy in comatose patients after resuscitation for cardiac arrest resulted in a similar incidence of death or severe disability or coma. (Funded by the Novo Nordisk Foundation; BOX ClinicalTrials .gov number, NCT03141099.