Sepsis is a major risk factor for the development of thrombocytopenia, but few studies have specifically evaluated prognostic importance of thrombocytopenia in patients with sepsis. We investigated the incidence, risk factors, and prognostic importance of thrombocytopenia in adult patients admitted to the intensive care unit (ICU) with sepsis.

Background and objectives Acute kidney injury (AKI) is a frequent complication in critically ill patients and sepsis is the most common contributing factor. We aimed to determine the risk factors associated with AKI development in patients with septic shock. Design, setting, participants, & measurements Observational cohort study consisted of consecutive adults with septic shock admitted to a medical intensive care unit (ICU) of a tertiary care academic hospital from July 2005 to September 2007. AKI was defined according to RIFLE criteria (urine output and creatinine criteria). Demographic, clinical, and treatment variables were reviewed. Main outcomes measured were AKI occurrence, all-cause hospital mortality, and hospital and ICU length of stay. Results Three hundred ninety patients met inclusion criteria, of which 237 (61%) developed AKI. AKI development was independently associated with delay to initiation of adequate antibiotics, intra-abdominal sepsis, blood product transfusion, use of angiotensin-converting enzyme inhibitor/angiotensin-receptor blocker, and body mass index (kg/m²). Higher baseline GFR and successful early goal directed resuscitation were associated with a decreased risk of AKI. Hospital mortality was significantly greater in patients who developed AKI (49 versus 34%). Conclusions In a contemporary cohort of patients with septic shock, both patient and health care delivery risk factors seemed to be important for AKI development. Background and objectives Acute kidney injury (AKI) is a frequent complication in critically ill patients and sepsis is the most common contributing factor. We aimed to determine the risk factors associated with AKI development in patients with septic shock. Design, setting, participants, & measurements Observational cohort study consisted of consecutive adults with septic shock admitted to a medical intensive care unit (ICU) of a tertiary care academic hospital from July 2005 to September 2007. AKI was defined according to RIFLE criteria (urine output and creatinine criteria). Demographic, clinical, and treatment variables were reviewed. Main outcomes measured were AKI occurrence, all-cause hospital mortality, and hospital and ICU length of stay. Results Three hundred ninety patients met inclusion criteria, of which 237 (61%) developed AKI. AKI development was independently associated with delay to initiation of adequate antibiotics, intra-abdominal sepsis, blood product transfusion, use of angiotensin-converting enzyme inhibitor/angiotensin-receptor blocker, and body mass index (kg/m²). Higher baseline GFR and successful early goal directed resuscitation were associated with a decreased risk of AKI. Hospital mortality was significantly greater in patients who developed AKI (49 versus 34%). Conclusions In a contemporary cohort of patients with septic shock, both patient and health care delivery risk factors seemed to be important for AKI development.

Echocardiographic myocardial dysfunction is reported commonly in sepsis and septic shock, but there are limited data on sepsis-related right ventricular dysfunction. This study sought to evaluate the association of right ventricular dysfunction with clinical outcomes in patients with severe sepsis and septic shock. Historical cohort study of adult patients admitted to all intensive care units at the Mayo Clinic from January 1, 2007 through December 31, 2014 for severe sepsis and septic shock, who had an echocardiogram performed within 72 h of admission. Patients with prior heart failure, cor-pulmonale, pulmonary hypertension and valvular disease were excluded. Right ventricular dysfunction was defined by the American Society of Echocardiography criteria. Outcomes included 1-year survival, in-hospital mortality and length of stay. Right ventricular dysfunction was present in 214 (55%) of 388 patients who met the inclusion criteria—isolated right ventricular dysfunction was seen in 100 (47%) and combined right and left ventricular dysfunction in 114 (53%). The baseline characteristics were similar between cohorts except for the higher mechanical ventilation use in patients with isolated right ventricular dysfunction. Echocardiographic findings demonstrated lower right ventricular and tricuspid valve velocities in patients with right ventricular dysfunction and lower left ventricular ejection fraction and increased mitral E/e′ ratios in patients with combined right and left ventricular dysfunction. After adjustment for age, comorbidity, illness severity, septic shock and use of mechanical ventilation, isolated right ventricular dysfunction was independently associated with worse 1-year survival—hazard ratio 1.6 [95% confidence interval 1.2–2.1; p = 0.002) in patients with sepsis and septic shock. Isolated right ventricular dysfunction is seen commonly in sepsis and septic shock and is associated with worse long-term survival.

Background: Acute lung injury (ALI) is a serious postoperative complication with limited treatment options. A preoperative risk-prediction model would assist clinicians and scientists interested in ALI. The objective of this investigation was to develop a surgical lung injury prediction (SLIP) model to predict risk of postoperative ALI based on readily available preoperative risk factors. Methods: Secondary analysis of a prospective cohort investigation including adult patients undergoing high-risk surgery. Preoperative risk factors for postoperative ALI were identified and evaluated for inclusion in the SLIP model. Multivariate logistic regression was used to develop the model. Model performance was assessed with the area under the receiver operating characteristic curve and the Hosmer-Lemeshow goodness-of-fit test. Results: Out of 4,366 patients, 113 (2.6%) developed early postoperative ALI. Predictors of postoperative ALI in multivariate analysis that were maintained in the final SLIP model included high-risk cardiac, vascular, or thoracic surgery, diabetes mellitus, chronic obstructive pulmonary disease, gastroesophageal reflux disease, and alcohol abuse. The SLIP score distinguished patients who developed early postoperative ALI from those who did not with an area under the receiver operating characteristic curve (95% CI) of 0.82 (0.78-0.86). The model was well calibrated (Hosmer-Lemeshow, P = 0.55). Internal validation using 10-fold cross-validation noted minimal loss of diagnostic accuracy with a mean ± SD area under the receiver operating characteristic curve of 0.79 ± 0.08. Conclusions: Using readily available preoperative risk factors, we developed the SLIP scoring system to predict risk of early postoperative ALI.

Early recognition of patients at high risk of acute lung injury (ALI) is critical for successful enrolment of patients in prevention strategies for this devastating syndrome. We aimed to develop and prospectively validate an ALI prediction score in a population-based sample of patients at risk.In a retrospective derivation cohort, predisposing conditions for ALI were identified at the time of hospital admission. The score was calculated based on the results of logistic regression analysis. Prospective validation was performed in an independent cohort of patients at risk identified at the time of hospital admission.In a derivation cohort of 409 patients with ALI risk factors, the lung injury prediction score discriminated patients who developed ALI from those who did not with an area under the curve (AUC) of 0.84 (95% CI 0.80–0.89; Hosmer–Lemeshow p = 0.60). The performance was similar in a prospective validation cohort of 463 patients at risk of ALI (AUC 0.84, 95% CI 0.77–0.91; Hosmer–Lemeshow p = 0.88).ALI prediction scores identify patients at high risk for ALI before intensive care unit admission. If externally validated, this model will serve to define the population of patients at high risk for ALI in whom future mechanistic studies and ALI prevention trials will be conducted.