MOESM3 of Impact of gender on post- traumatic intensive care and outcomes

Additional file 3: Table S3. Associations between baseline and injury characteristics and 1-year mortality, unadjusted and adjusted HR (95% CI)

Additional file 1 of Impact of gender on post- traumatic intensive care and outcomes

Additional file 1: Table S1. Associations between patient- and injury characteristics and ICU admission, adjusted OR (95% CI)

Additional file 2 of Impact of gender on post- traumatic intensive care and outcomes

Additional file 2: Table S2. Associations between baseline and injury characteristics and 30-day mortality, unadjusted and adjusted HR (95% CI)

Additional file 3 of Impact of gender on post- traumatic intensive care and outcomes

Additional file 3: Table S3. Associations between baseline and injury characteristics and 1-year mortality, unadjusted and adjusted HR (95% CI)

MOESM2 of Impact of gender on post- traumatic intensive care and outcomes

Additional file 2: Table S2. Associations between baseline and injury characteristics and 30-day mortality, unadjusted and adjusted HR (95% CI)

MOESM1 of Impact of gender on post- traumatic intensive care and outcomes

Additional file 1: Table S1. Associations between patient- and injury characteristics and ICU admission, adjusted OR (95% CI)

Glycemic Control and Risk of Sepsis and Subsequent Mortality in Type 2 Diabetes

Objective To investigate the nature of the relationship between HbA1c and sepsis among individuals with type 2 diabetes and to assess the association of sepsis and all-cause mortality in such patients. Research design and methods We included 502,871 individuals with type 2 diabetes recorded in the Swedish National Diabetes Register and used multivariable Cox regression and restricted cubic spline analyses to assess the association between time-updated HbA1c values and sepsis occurrence between January 1, 2005 and December 31, 2015. The association between sepsis and death was examined using multivariable Cox regression analysis. Result Overall, 14,534 (2.9%) patients developed sepsis during the study period. On multivariable Cox regression analysis, compared with an HbA1c of 48-52 mmol/mol (6.5-6.9%), the adjusted hazard ratio for sepsis was 1.15 (95% CI 1.07-1.24) for HbA1c <43 mmol/mol (6.1%); 0.93 (0.87-0.99) for HbA1c 53-62 mmol/mol (7.0-7.8%); 1.05 (0.97-1.13) for HbA1c 63-72 mmol/mol (7.9-8.7%); 1.14 (1.04-1.25) for HbA1c 73-82 mmol/mol (8.8-9.7%); and 1.52 (1.37-1.68) for HbA1c >82 mmol/mol (9.7%). In the cubic spline model, a reduction of the adjusted risk was observed within the lower HbA1c range until 53 mmol/mol (7.0%), with a hazard ratio of 0.78 (0.73-0.82) per standard deviation, and increased thereafter (P for non-linearity <0.001). As compared to patients without sepsis, the adjusted hazard ratio for death among patients with sepsis was 4.16 (4.03-4.30). Conclusions In a nationwide cohort of individuals with type 2 diabetes, we found a U-shaped association between HbA1c and sepsis and a four-fold increased risk of death among those developing sepsis. </p

Additional file 1 of Fluid accumulation and major adverse kidney events in sepsis: a multicenter observational study

Additional file 1: Detailed list of exposure variables; Filtering and processing of mean arterial pressure data; Description of Variable Importance analysis

Additional file 2 of Fluid accumulation and major adverse kidney events in sepsis: a multicenter observational study

Additional file 2: Figure S1. Cumulative fluid balance by admission year, Figure S2. Restricted cubic spline curves, Table S1. Backwards selection logistic regression adjusted for early AKI, Table S2. Backwards selection logistic regression adjusted for fluid input and urine output, Table S3. Forward selection logistic regression (association with MAKE30), Table S4. Backwards selection logistic regression (association with RRT or sustained renal dysfunction), Table S5. Forward selection logistic regression (association with RRT or sustained renal dysfunction)