Critical care science最新文献

Objective: Determine how each organ component of the SOFA score differs in its contribution to mortality risk and how that contribution may change over time.

Methods: We performed multivariate logistic regression analysis to assess the contribution of each organ component to mortality risk on Days 1 and 7 of an intensive care unit stay. We used data from two publicly available datasets, eICU Collaborative Research Database (eICU-CRD) (208 hospitals) and Medical Information Mart for Intensive Care IV (MIMIC-IV) (1 hospital). The odds ratio of each SOFA component that contributed to mortality was calculated. Mortality was defined as death either in the intensive care unit or within 72 hours of discharge from the intensive care unit.

Results: A total of 7,871 intensive care unit stays from eICU-CRD and 4,926 intensive care unit stays from MIMIC-IV were included. Liver dysfunction was most predictive of mortality on Day 1 in both cohorts (OR 1.3; 95%CI 1.2 - 1.4; OR 1.3; 95%CI 1.2 - 1.4, respectively). In the eICU-CRD cohort, central nervous system dysfunction was most predictive of mortality on Day 7 (OR 1.4; 95%CI 1.4 - 1.5). In the MIMIC-IV cohort, respiratory dysfunction (OR 1.4; 95%CI 1.3 - 1.5) and cardiovascular dysfunction (OR 1.4; 95%CI 1.3 - 1.5) were most predictive of mortality on Day 7.

Conclusion: The SOFA score may be an oversimplification of how dysfunction of different organ systems contributes to mortality over time. Further research at a more granular timescale is needed to explore how the SOFA score can evolve and be ameliorated.

Objective: To determine whether admission to critical care is associated with subsequent disease progression in patients with non-metastatic solid tumors.

Methods: This observational cohort study of UK Biobank participants identified those diagnosed with solid tumors and survived hospitalization. Two cohorts were identified based on critical care admission and new metastatic disease as reported at UK Biobank follow-up visits, or primary or secondary care records were compared. Cox proportional hazards analysis was used to account for potential confounders in the multivariate analysis.

Results: A total of 1,854 solid tumor patients were identified, of whom 453 (24.4%) experienced critical care admission. Unadjusted rates of metastatic disease and death were higher for the critical care cohort with lower progression-free survival. At five years, 25% of the critical care survivors and 14% of the hospitalized survivors had developed metastatic disease (p < 0.001), with a corresponding progression-free survival rate of 65% versus 81% (p < 0.001). After adjustment for confounders, the hazard ratio for progression-free survival between critical care survivors and the hospitalized cohort was 1.69 (95%CIs 1.31 - 2.18; p < 0.001).

Conclusion: Solid tumor patients admitted to the hospital within 2 years of diagnosis had poorer subsequent progression-free survival if they had experienced a critical care admission. This observation was maintained after adjustment for confounding variables.

Objective: To analyze in-hospital and 1-year morbidity and mortality associated with acute gastrointestinal dysfunction in critically ill patients with COVID-19 via a prespecified scoring system.

Methods: Between March and July 2020, consecutive hospitalized patients with COVID-19 from a single institution were retrospectively analyzed by medical chart review. Only those who remained in the intensive care unit for more than 24 hours were included. Gastrointestinal dysfunction was assessed according to a predefined 5-point progressive gastrointestinal injury scoring system, considering the first 7 days of hospitalization. Laboratory data, comorbidities, the need for mechanical ventilation, the duration of intensive care unit stay, and subsequent in-hospital and 1-year mortality rates were also recorded.

Results: Among 230 patients who were screened, 215 were included in the analysis. The median age was 68 years (54 - 82), and 57.7% were male. The total gastrointestinal dysfunction scores were 0 (79.1%), I (15.3%), II (4.7%), III (0.9%), and IV (0%). Any manifestation of gastrointestinal dysfunction was present in 20.9% of all patients and was associated with longer lengths of stay (20 days [11 - 33] versus 7 days [4 - 16]; p < 0.001] and higher C-reactive protein levels on admission (12.8mg/mL [6.4 - 18.4] versus 5.7mg/mL [3.2 - 13.4]; p < 0.001). The gastrointestinal dysfunction score was significantly associated with mortality (OR 2.8; 95%CI 1.7 - 4.8; p < 0.001) and the need for mechanical ventilation (OR 2.8; 95%CI 1.7 - 4.6; p < 0.001). Both in-hospital and 1-year death rates progressively increased as gastrointestinal dysfunction scores increased.

Conclusion: In the current series of intensive care unit patients with COVID-19, gastrointestinal dysfunction severity, as defined by a prespecified scoring system, was predictive of adverse in-hospital and 1-year outcomes.