Identification of Distinct Clinical Subphenotypes in Critically Ill Patients With COVID-19.

BACKGROUND: Subphenotypes have been identified in patients with sepsis and ARDS and are associated with different outcomes and responses to therapies. RESEARCH QUESTION: Can unique subphenotypes be identified among critically ill patients with COVID-19? STUDY DESIGN AND METHODS: Using data from a multicenter cohort study that enrolled critically ill patients with COVID-19 from 67 hospitals across the United States, we randomly divided centers into discovery and replication cohorts. We used latent class analysis independently in each cohort to identify subphenotypes based on clinical and laboratory variables. We then analyzed the associations of subphenotypes with 28-day mortality. RESULTS: Latent class analysis identified four subphenotypes (SP) with consistent characteristics across the discovery (45 centers; n = 2,188) and replication (22 centers; n = 1,112) cohorts. SP1 was characterized by shock, acidemia, and multiorgan dysfunction, including acute kidney injury treated with renal replacement therapy. SP2 was characterized by high C-reactive protein, early need for mechanical ventilation, and the highest rate of ARDS. SP3 showed the highest burden of chronic diseases, whereas SP4 demonstrated limited chronic disease burden and mild physiologic abnormalities. Twenty-eight-day mortality in the discovery cohort ranged from 20.6% (SP4) to 52.9% (SP1). Mortality across subphenotypes remained different after adjustment for demographics, comorbidities, organ dysfunction and illness severity, regional and hospital factors. Compared with SP4, the relative risks were as follows: SP1, 1.67 (95% CI, 1.36-2.03); SP2, 1.39 (95% CI, 1.17-1.65); and SP3, 1.39 (95% CI, 1.15-1.67). Findings were similar in the replication cohort. INTERPRETATION: We identified four subphenotypes of COVID-19 critical illness with distinct patterns of clinical and laboratory characteristics, comorbidity burden, and mortality.

COVID-19 Pandemic Significantly Decreases Acute Surgical Complaints.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic significantly reduced elective surgery in the United States, but the impact of COVID-19 on acute surgical complaints and acute care surgery is unknown. STUDY DESIGN: A retrospective review was performed of all surgical consults at the Hospital of the University of Pennsylvania in the 30 days prior to and 30 days following confirmation of the first COVID-19 patient at the institution. Consults to all divisions within general surgery were included. RESULTS: Total surgical consult volume decreased by 43% in the post-COVID-19 period, with a significant reduction in the median daily consult volume from 14 to 8 (P < .0001). Changes in consult volume by patient location, chief complaint, and surgical division were variable, in aggregate reflecting a disproportionate decrease among less acute surgical complaints. The percentage of consults resulting in surgical intervention remained equal in the 2 periods (31% vs 28%, odds ratio 0.85, 95% CI 0.61-1.21, P = .38) with most but not all operation types decreasing in frequency. The rise in the COVID-19 inpatient census led to increased consultation for vascular access, accommodated at our center by the creation of a new surgical procedures team. CONCLUSION: The COVID-19 pandemic significantly altered the landscape of acute surgical complaints at our large academic hospital. An appreciation of these trends may be helpful to other Departments of Surgery around the country as they deploy staff and allocate resources in the COVID-19 era.