Kor, Daryl J.

BACKGROUND: Critically ill patients frequently receive plasma transfusion under the assumptions that abnormal coagulation test results confer increased risk of bleeding and that plasma transfusion will decrease this risk. However, the effect of prophylactic plasma transfusion remains poorly understood. The objective of this study was to determine the relationship between prophylactic plasma transfusion and bleeding complications in critically ill patients. METHODS: This is a retrospective cohort study of adults admitted to the intensive care unit (ICU) at a single academic institution between January 1, 2009 and December 31, 2013. Inclusion criteria included age ≥18 years and an international normalized ratio measured during ICU admission. Multivariable propensity-matched analyses were used to evaluate associations between prophylactic plasma transfusion and outcomes of interest with a primary outcome of red blood cell transfusion in the ensuing 24 hours and secondary outcomes of hospital- and ICU-free days and mortality within 30 days of ICU discharge. RESULTS: A total of 27,561 patients were included in the investigation with 2472 (9.0%) receiving plasma therapy and 1105 (44.7%) for which plasma transfusion was prophylactic in nature. In multivariable propensity-matched analyses, patients receiving plasma had higher rates of red blood cell transfusion (odds ratio: 4.3 [95% confidence interval: 3.3–5.7], P < .001) and fewer hospital-free days (estimated % increase: −11.0% [95% confidence interval: −11.4, −10.6%], P < .001). There were no significant differences in ICU-free days or mortality. These findings appeared robust, persisting in multiple predefined sensitivity analyses. CONCLUSIONS: Prophylactic administration of plasma in the critically ill was not associated with improved clinical outcomes. Further investigation examining the utility of plasma transfusion in this population is warranted.

BACKGROUNDPlatelet (PLT) transfusion before interventional radiology procedures is commonly performed in patients with thrombocytopenia. However, it is unclear if PLT transfusion is associated with reduced bleeding complications.STUDY DESIGN AND METHODSThis is a retrospective cohort study of adults undergoing interventional radiology procedures between January 1, 2009, and December 31, 2013. Baseline characteristics, coagulation variables, transfusion requirements, and procedural details were evaluated. Propensity‐matched analyses were used to assess relationships between PLT transfusions and the outcomes of interest, including a primary outcome of periprocedural red blood cell (RBC) transfusion during the procedure or within the first 24 hours after procedure.RESULTSA total of 18,204 participants met inclusion criteria, and 2060 (11.3%) had a PLT count of not more than 100 × 109/L before their procedure. Of these, 203 patients (9.9) received preprocedural PLTs. There was no significant difference in RBC requirements between those receiving or not receiving preprocedural PLTs in propensity‐matched analysis (odds ratio [OR], 1.45; 95% confidence interval [CI], 0.95‐2.21; p = 0.085). PLT transfusion was associated with increased rates of intensive care unit admission (OR [95% CI], 1.57 [1.07‐2.32]; p = 0.022).CONCLUSIONIn patients with thrombocytopenia undergoing interventional radiology procedures, preprocedural PLT transfusion was not associated with reduced periprocedural RBC requirements. These findings suggest that prophylactic PLT transfusions are not warranted in nonbleeding patients with preprocedural PLT counts exceeding 50 × 109/L. Future clinical trials are needed to further define relationships between prophylactic PLT administration and bleeding complications, especially at more severe levels of thrombocytopenia or in the presence of PLT dysfunction.

Abstract Background Transfusion-associated circulatory overload remains underappreciated in the perioperative environment. The authors aimed to characterize risk factors for perioperative transfusion-associated circulatory overload and better understand its impact on patient-important outcomes. Methods In this case–control study, 163 adults undergoing noncardiac surgery who developed perioperative transfusion-associated circulatory overload were matched with 726 transfused controls who did not develop respiratory complications. Univariate and multivariable logistic regression analyses were used to evaluate potential risk factors for transfusion-associated circulatory overload. The need for postoperative mechanical ventilation, lengths of intensive care unit and hospital stay, and mortality were compared. Results For this cohort, the mean age was 71 yr and 56% were men. Multivariable analysis revealed the following independent predictors of transfusion-associated circulatory overload: emergency surgery, chronic kidney disease, left ventricular dysfunction, previous β-adrenergic receptor antagonist use, isolated fresh frozen plasma transfusion (vs. isolated erythrocyte transfusion), mixed product transfusion (vs. isolated erythrocyte transfusion), and increasing intraoperative fluid administration. Patients who developed transfusion-associated circulatory overload were more likely to require postoperative mechanical ventilation (73 vs. 33%; P < 0.001) and experienced prolonged intensive care unit (11.1 vs. 6.5 days; P < 0.001) and hospital lengths of stay (19.9 vs. 9.6 days; P < 0.001). Survival was significantly reduced (P < 0.001) in transfusion recipients who developed transfusion-associated circulatory overload (1-yr survival 72 vs. 84%). Conclusions Perioperative transfusion-associated circulatory overload was associated with a protracted hospital course and increased mortality. Efforts to minimize the incidence of transfusion-associated circulatory overload should focus on the judicious use of intraoperative blood transfusions and nonsanguineous fluid therapies, particularly in patients with chronic kidney disease, left ventricular dysfunction, chronic β-blocker therapy, and those requiring emergency surgery.

BackgroundThe concordance of haemovigilance criteria developed for surveillance of transfusion‐associated circulatory overload (TACO) with its clinical diagnosis has not been assessed. In a pilot study to evaluate an electronic screening algorithm, we sought to examine TACO incidence and application of haemovigilance criteria in patients with post‐transfusion pulmonary oedema.Study Design and MethodsFrom June to September 2014, all transfused adult inpatients at four academic hospitals were screened with an algorithm identifying chest radiographs ordered within 12 h of blood component release. Patients with post‐transfusion pulmonary oedema underwent case adjudication by an expert panel. TACO incidence was calculated, and clinical characteristics were compared with other causes of post‐transfusion pulmonary oedema.ResultsAmong 4932 transfused patients, there were 3412 algorithm alerts, 50 cases of TACO and 47 other causes of pulmonary oedema. TACO incidence was 1 case per 100 patients transfused. TACO classification based on two sets of haemovigilance criteria (National Healthcare Safety Network and proposed revised International Society for Blood Transfusion) was concordant with expert panel diagnosis in 57% and 54% of reviewed cases, respectively. Although the majority of clinical parameters did not differentiate expert panel adjudicated TACO from other cases, improved oxygenation within 24 h of transfusion did (P = 0·01).ConclusionsThe incidence of TACO was similar to that observed in prior studies utilizing active surveillance. Case classification by haemovigilance criteria was frequently discordant with clinical diagnoses of TACO in patients with post‐transfusion pulmonary oedema. Improvements in oxygenation within 24 h of transfusion merit further evaluation in the diagnosis of TACO.

Abstract Background: Surgical site infections (SSI) contribute to surgical patients' morbidity and costs. Operating room traffic may be a modifiable risk factor for SSI. We investigated the impact of additional operating room personnel on the risk of superficial SSI (sSSI). Patients and Methods: In this matched case-control study, cases included patients in whom sSSI developed in clean surgical incisions after elective, daytime operations. Control subjects were matched by age, gender, and procedure. Operating room personnel were classified as (1) surgical scrubbed, (2) surgical non-scrubbed, or (3) anesthesia. We used conditional logistic regression to test the extent to which additional personnel overall and from each work group were associated with infection. Results: In total, 474 patients and 803 control subjects were identified. Each additional person among total personnel and personnel from each work group was significantly associated with greater odds of infection (all personnel, odds ratio [OR] = 1.082, 95% confidence interval [CI] 1.031–1.134, p = 0.0013; surgical scrubbed OR = 1.132, 95% CI 1.029–1.245, p = 0.0105; surgical non-scrubbed OR = 1.123, 95% CI 1.008–1.251, p = 0.0357; anesthesia OR = 1.153, 95% CI 1.031–1.290, p = 0.0127). After adjusting for operative duration, body mass index, diabetes mellitus, and vascular disease, additional personnel and sSSI were no longer associated overall or for any work groups (total personnel OR = 1.033, 95% CI 0.974–1.095, p = 0.2746; surgical scrubbed OR = 1.060, 95% CI 0.952-1.179, p = 0.2893; surgical non-scrubbed OR = 1.023 95% CI 0.907–1.154, p = 0.7129; anesthesia OR = 1.051, 95% CI 0.926–1.193, p = 0.4442). Conclusion: The presence of additional operating room personnel was not independently associated with increased odds of sSSI. Efforts dedicated to sSSI reduction should focus on other modifiable risk factors.

Objective: The Lung Injury Prediction Score identifies patients at risk for acute respiratory distress syndrome in the emergency department, but it has not been validated in non-emergency department hospitalized patients. We aimed to evaluate whether Lung Injury Prediction Score identifies non-emergency department hospitalized patients at risk of developing acute respiratory distress syndrome at the time of critical care contact. Design: Retrospective study. Setting: Five academic medical centers. Patients: Nine hundred consecutive patients (≥ 18 yr old) with at least one acute respiratory distress syndrome risk factor at the time of critical care contact. Interventions: None. Measurements and Main Results: Lung Injury Prediction Score was calculated using the worst values within the 12 hours before initial critical care contact. Patients with acute respiratory distress syndrome at the time of initial contact were excluded. Acute respiratory distress syndrome developed in 124 patients (13.7%) a median of 2 days (interquartile range, 2–3) after critical care contact. Hospital mortality was 22% and was significantly higher in acute respiratory distress syndrome than non-acute respiratory distress syndrome patients (48% vs 18%; p < 0.001). Increasing Lung Injury Prediction Score was significantly associated with development of acute respiratory distress syndrome (odds ratio, 1.31; 95% CI, 1.21–1.42) and the composite outcome of acute respiratory distress syndrome or death (odds ratio, 1.26; 95% CI, 1.18–1.34). A Lung Injury Prediction Score greater than or equal to 4 was associated with the development of acute respiratory distress syndrome (odds ratio, 4.17; 95% CI, 2.26–7.72), composite outcome of acute respiratory distress syndrome or death (odds ratio, 2.43; 95% CI, 1.68–3.49), and acute respiratory distress syndrome after accounting for the competing risk of death (hazard ratio, 3.71; 95% CI, 2.05–6.72). For acute respiratory distress syndrome development, the Lung Injury Prediction Score has an area under the receiver operating characteristic curve of 0.70 and a Lung Injury Prediction Score greater than or equal to 4 has 90% sensitivity (misses only 10% of acute respiratory distress syndrome cases), 31% specificity, 17% positive predictive value, and 95% negative predictive value. Conclusions: In a cohort of non-emergency department hospitalized patients, the Lung Injury Prediction Score and Lung Injury Prediction Score greater than or equal to 4 can identify patients at increased risk of acute respiratory distress syndrome and/or death at the time of critical care contact but it does not perform as well as in the original emergency department cohort.

SummaryBackgroundMalignant hyperthermia (MH) is a rare anesthetic pharmacogenetic disorder that can be difficult to detect in its earliest phases. Prompt treatment is known to improve outcomes. The modern anesthesia information management systems (AIMS) collect enormous amounts of data. However, data lack context and are not able to provide real‐time guidance. Utilizing our AIMS, we developed the capacity to incorporate decision support.AimsWe describe the creation and evaluation of a real‐time detection tool for MH.MethodsCases of MH from 2003 to 2013 were retrospectively reviewed to confirm the diagnosis of MH and to calculate a MH clinical grading scale score. The index cases were utilized to develop four electronic data Rules, based on endtidal CO2 (ETCO2) and temperature criteria. The Rules were then applied retrospectively to the index cases and to a full cohort of general operating room (OR) patients from January 2012 to June 2012. If criteria for possible MH was met, the detection tool generated an alert on the monitor at the patient's bedside.ResultsWe identified seven patients with confirmed MH with MH Scores ranging from 28 to 70. Using four data Rules, all of our seven index cases were captured and generated an appropriate alert. Median time from MH computer alert time to dantrolene administration time among our index cases was 23 min (IQR 17–77). There were 938 false‐positive alerts for possible MH (1.8%) when the Rules were applied to a general OR cohort of 51 579 total cases from January 2012 to June 2012.ConclusionsWe demonstrated a real‐time MH detection tool based on established physiologic criteria that is sensitive enough to capture cases suspicious for MH, while limiting false positives to prevent alarm fatigue. This has the potential to notify the provider of possible MH such that treatment may be rapidly initiated.

AbstractIntroductionPatients at risk for microaspiration during elective intubation often receive cricoid pressure in the hopes of mitigating such risk. However, there is scarce evidence to either support or reject this practice. The objective of this investigation was to assess the effect of cricoid pressure on microaspiration and to inform the potential feasibility of conducting a larger, more definitive clinical trial.MethodsThis was a pilot randomized clinical trial set in the operating rooms of a tertiary referral hospital between August and October of 2014. Patients with risk factors for microaspiration (obesity, gastroesophageal reflux disease, or diabetes) were enrolled. The patients were randomized to either cricoid pressure or no cricoid pressure during induction of anesthesia with endotracheal intubation. Immediately after intubation, a sample of lower airway secretions was collected and analyzed for pepsin A.Main ResultsA total of 95 patients were evaluated, randomized and completed the study protocol. 46 were randomized to cricoid pressure and 49 to no cricoid pressure. Seven patients crossed‐over treatment arms. A total of 18 (19.6%) patients met the pre‐defined criteria for microaspiration. In both the intention‐to‐treat and per‐protocol analyses, there were no statistically significant differences in the rate of microaspiration [OR (95% CI)] = 1.39 (0.49–3.92) and 1.30 (0.44–3.86), respectively.ConclusionsUtilizing pepsin A as a biomarker of aspiration, this pilot clinical trial did not find evidence for a reduced rate of aspiration or adverse clinical events with the administration of cricoid pressure during elective endotracheal intubation of patients with risk factors for microaspiration.