Ton, Van-Khue

Despite advances in drug and device technology, health care delivery, and research infrastructure, cardiogenic shock (CS) continues to have nearly 50% in‐hospital mortality. In patients with CS, both the initial severity of Society for Cardiovascular Angiography and Intervention CS and its subsequent trajectory predicts the clinical outcomes. Accordingly, delayed initial recognition and failure to escalate or deescalate treatment can significantly affect the outcomes of CS. Traditional assessment methods, with the exception of blood pressure measurement, require a high index of suspicion and frequent reassessment by the clinical team. Electronic medical record‐based detection has been successfully implemented in acute and critical care patients with septic shock and acute kidney injury. In CS, electronic medical record‐based studies have largely focused on using models to predict outcomes in patients with CS, with limited data on electronic medical record‐based tools to assist with either predicting CS or providing real time alerts when escalation or de‐escalation might be indicated. Early detection of CS may be associated with detection of earlier Society for Cardiovascular Angiography and Intervention stages of CS and potentially prevent deterioration to higher stages. In this review, we seek to highlight a blueprint for electronic medical record‐based detection of CS that focuses on reproducibility, convenience, clinical decision support, and research aspects.

Background Transplantation using hearts obtained through donation after circulatory death (DCD) is increasing, but data on recipient renal outcomes are limited. Methods and Results Patients at a single institution who underwent heart transplantation using organs procured through DCD or donation after brain death (DBD) from April 2016 to August 2022 were included in this retrospective cohort study. Hemodynamic measures were collected via right heart catheterization performed 1 week after transplantation. Posttransplantation renal outcomes included estimated glomerular filtration rate at 1 week, 4 weeks, and 16 weeks, and the incidence of acute kidney injury (AKI) and renal replacement therapy within 1 week. The analysis included 225 patients (55 recipients of DCD). Baseline characteristics were comparable between recipients of DCD and DBD. Renal outcomes within 1 week posttransplantation in recipients of DCD were similar to recipients of DBD, including percent change in estimated glomerular filtration rate (−37.9% [−58.6 to −6.2] versus −31.9% [−52.4 to −9.9]; P =0.91), incidence of AKI (47.3% versus 46.5%; P >0.99) and incidence of renal replacement therapy (3.6% versus 4.7%; P >0.99). Recipients of DCD with AKI within 1 week (“early AKI”) did not recover to baseline estimated glomerular filtration rate (75.8 [60.2–91.3] mL/min per 1.73 m 2 ) by week 16 (59.3 [46.9–73.6] mL/min per 1.73 m 2 ; P =0.002), whereas recipients without early AKI exhibited comparable estimated glomerular filtration rate to baseline by week 4 (84.5 [70.8–98.5] mL/min per 1.73 m 2 ; P =0.084). Similar trends were observed in recipients of DBD. Conclusions Recipients of DCD demonstrated similar renal outcomes compared with recipients of DBD, supporting the ongoing use of DCD transplantation. Early AKI was associated with persistent renal dysfunction for recipients of both DCD and DBD.