Characterization of Mortality by Sepsis Source in Patients Admitted to the Surgical Intensive Care Unit.

INTRODUCTION: The impact of infectious source on sepsis outcomes for surgical patients is unclear. The objective of this study was to evaluate the association between sepsis sources and cumulative 90-d mortality in patients admitted to the surgical intensive care unit (SICU) with sepsis. METHODS: All patients admitted to the SICU at an academic institution who met sepsis criteria (2014-2019, n = 1296) were retrospectively reviewed. Classification of source was accomplished through a chart review and included respiratory (RT, n = 144), intra-abdominal (IA, n = 859), skin and soft tissue (SST, n = 215), and urologic (UR, n = 78). Demographics, comorbidities, and clinical presentation were compared. Outcomes included 90-d mortality, respiratory and renal failure, length of stay, and discharge disposition. Cox-proportional regression was used to model predictors of mortality; P < 0.05 was significant. RESULTS: Patients with SST were younger, more likely to be diabetic and obese, but had the lowest total comorbidities. Median admission sequential organ failure assessment scores were highest for IA and STT and lowest in urologic infections. Cumulative 90-d mortality was highest for IA and RT (35% and 33%, respectively) and lowest for SST (20%) and UR (8%) (P < 0.005). Compared to the other categories, UR infections had the lowest SICU length of stay and the highest discharge-to-home (57%, P < 0.0005). Urologic infections remained an independent negative predictor of 90-d mortality (odds ratio 0.14, 95% confidence interval: 0.1-0.4), after controlling for sequential organ failure assessment. CONCLUSIONS: Urologic infections remained an independent negative predictor of 90-d mortality when compared to other sources of sepsis. Characterization of sepsis source revealed distinct populations and clinical courses, highlighting the importance of understanding different sepsis phenotypes.

Transfer Status and 90-Day Mortality in Intensive Care Unit Patients With Sepsis: A Propensity Matched Analysis.

BACKGROUND: Timely identification and management of sepsis in surgical patients is crucial, and transfer status may delay optimal treatment of these patients. The objective of this study was to compare in-house and 90-day mortality between patients primarily admitted or transferred into the surgical ICU (SICU) at a tertiary referral center. MATERIAL AND METHODS: All patients admitted to the SICU with a diagnosis of sepsis (Sepsis III) were reviewed at a single institution between 2014 to 2019 (n = 1489). Demographics, comorbidities, and sepsis presentation were compared between transferred (n = 696) and primary patients (n = 793). Primary outcomes evaluated were in-house and 90 day mortality in an unmatched and propensity score matched cohorts. A P value < 0.05 was considered statistically significant. RESULTS: Transfer patients were more likely to have obesity (60% versus 49%, P < 0.005), a higher median SOFA (6 (4-8) versus 5 (3-8), P = 0.007), and require vasopressors on admission (42% versus 35%, P = 0.004). Compared to primary patients, transfer patients exhibited higher rates of respiratory failure (76% versus 69%, P = 0.003), in-house (30% versus 17%, P < 0.005), and 90 day mortality (36% versus 24%, P < 0.005). After matching, transferred patients were associated with 75% and 83% increased odds of in-house and 90 day mortality after controlling for age, sex, race, comorbidities, BMI, and sepsis severity. CONCLUSIONS: Transfer status is associated with an over 80% increase in the odds of 90 day mortality for patients admitted to the SICU with sepsis. Aggressive patient identification and earlier transfer of those at higher risk of death may reduce this effect.

Outcomes of Patients with Necrotizing Soft Tissue Infections: A Propensity-Matched Analysis Using the National Inpatient Sample.

Background: Necrotizing soft tissue infections (NSTIs) are severe, rapidly spreading infections with high morbidity and mortality. Attempts to identify risk factors for mortality and morbidity have produced variable results. We hope to determine which factors across the NSTI population impact mortality, morbidities, and discharge disposition. Patients and Methods: Retrospective data from the National Inpatient Sample from 2012-2018 of patients with primary diagnosis of NSTI (gas gangrene, necrotizing faciitis, cutaneous gangrene, or Fournier gangrene) were identified for analysis. A 1:4 greedy match was performed and risk factors for in-hospital mortality and discharge disposition were examined. Continuous variables were assessed using t-tests and Wilcoxon rank sum tests. Categorical variables were assessed using χ2 and Fisher exact tests. Statistical significance was defined as p < 0.05. Results: A total of 6,608 patients were identified. Weighted, this represents 33,040 patients; 32,390 are in the no-mortality cohort and 650 in the mortality cohort. Advanced age group was a risk factor for both in-hospital mortality and morbidity, but not for discharge to a skilled nursing or rehabilitation facility. Having two or more comorbidities was a risk factor for mortality, morbidity, and discharge to skilled nursing or rehabilitation facility. Cancer, liver disease, and kidney disease were predictors of in-hospital mortality. Diabetes mellitus and kidney disease were predictors of experiencing an in-hospital complication. Diabetes mellitus, heart disease, and kidney disease were predictors for discharge to skilled nursing or rehabilitation facility. Conclusions: Necrotizing soft tissue infections are associated with substantial morbidity and mortality. Identifying patients at higher risk for mortality, morbidity, and higher level of care at discharge can help providers properly allocate resources to improve patient outcomes and reduce the financial burden on patients and healthcare facilities. Special attention should be paid to those with existing or acute kidney dysfunction because this was the only comorbidity associated with increased risk mortality, morbidity, and discharge to higher level of care.