Warner, Matthew A.

BACKGROUND: Intraoperative red blood cell (RBC) transfusion is common, yet transfusion strategies remain controversial as pretransfusion hemoglobin triggers are difficult to utilize during acute bleeding. Alternatively, postoperative hemoglobin values may provide useful information regarding transfusion practices, though optimal targets remain undefined. METHODS: This is a single-center observational cohort study of adults receiving allogeneic RBCs during noncardiac surgery from 2010 through 2014. Multivariable regression analyses adjusting for patient illness, laboratory derangements, and surgical features were used to assess relationships between initial postoperative hemoglobin values and a primary outcome of hospital-free days. RESULTS: A total of 8060 patients were included. Those with initial postoperative hemoglobin <7.5 or ≥11.5 g/dL had decreased hospital-free days [mean (95% confidence interval [CI]), −1.45 (−2.50 to −0.41) and −0.83 (−1.42 to −0.24), respectively] compared to a reference range of 9.5–10.4 g/dL (overall P value .003). For those with hemoglobin <7.5 g/dL, the odds (95% CI) for secondary outcomes included acute kidney injury (AKI) 1.43 (1.03–1.99), mortality 2.10 (1.18–3.74), and cerebral ischemia 3.12 (1.08–9.01). The odds for postoperative mechanical ventilation with hemoglobin ≥11.5 g/dL were 1.33 (1.07–1.65). Secondary outcome associations were not significant after multiple comparisons adjustment (Bonferroni P < .0056). CONCLUSIONS: In transfused patients, postoperative hemoglobin values between 7.5 and 11.5 g/dL were associated with superior outcomes compared to more extreme values. This range may represent a target for intraoperative transfusions, particularly during active bleeding when pretransfusion hemoglobin thresholds may be impractical or inaccurate. Given similar outcomes within this range, targeting hemoglobin at the lower aspect may be preferable, though prospective validation is warranted.

BACKGROUNDRecipients of hematopoietic stem cell transplantation (HSCT) are among the highest consumers of allogeneic red blood cell (RBC) and platelet (PLT) components. The impact of patient blood management (PBM) efforts on HSCT recipients is poorly understood.STUDY DESIGN AND METHODSThis observational study assessed changes in blood product use and patient‐centered outcomes before and after implementing a multidisciplinary PBM program for patients undergoing HSCT at a large academic medical center. The pre‐PBM cohort was treated from January 1 through September 31, 2013; the post‐PBM cohort was treated from January 1 through September 31, 2015.RESULTSWe identified 708 patients; 284 of 352 (80.7%) in the pre‐PBM group and 225 of 356 (63.2%) in the post‐PBM group received allogeneic RBCs (p < 0.001). Median (interquartile range [IQR]) RBC volumes were higher before PBM than after PBM (3 [2‐4] units vs. 2 [1‐4] units; p = 0.004). A total of 259 of 284 pre‐PBM patients (91.2%) and 57 of 225 (25.3%) post‐PBM patients received RBC transfusions when hemoglobin levels were more than 7 g/dL (p < 0.001). The median (IQR) PLT transfusion quantities was 3 (2‐5) units for pre‐PBM patients and 2 (1‐4) units for post‐PBM patients (p < 0.001). For patients with PLT counts of more than 10 × 109/L, a total of 1219 PLT units (73.4%) were transfused before PBM and 691 units (48.8%) were transfused after PBM (p < 0.001). Estimated transfusion expenditures were reduced by $617,152 (18.3%). We noted no differences in clinical outcomes or transfusion‐related adverse events.CONCLUSIONPatient blood management implementation for HSCT recipients was associated with marked reductions in allogeneic RBC and PLT transfusions and decreased transfusion‐related costs with no detrimental impact on clinical outcomes.

Objectives: Patients requiring admission to an ICU may subsequently experience cognitive decline. Our objective was to investigate longitudinal cognitive trajectories in older adults hospitalized in ICUs. We hypothesized that individuals hospitalized for critical illness develop greater cognitive decline compared with those who do not require ICU admission. Design: A retrospective cohort study using prospectively collected cognitive scores of participants enrolled in the Mayo Clinic Study of Aging and ICU admissions retrospectively ascertained from electronic medical records. A covariate-adjusted linear mixed effects model with random intercepts and slopes assessed the relationship between ICU admissions and the slope of global cognitive z scores and domains scores (memory, attention/executive, visuospatial, and language). Setting: ICU admissions and cognitive scores in the Mayo Clinic Study of Aging from October 1, 2004, to September 11, 2017. Patients: Nondemented participants age 50 through 91 at enrollment in the Mayo Clinic Study of Aging with an initial cognitive assessment and at least one follow-up visit. Interventions: None. Measurements and Main Results: Of 3,673 participants, 372 had at least one ICU admission with median (25–75th percentile) follow-up after first ICU admission of 2.5 years (1.2–4.4 yr). For global cognitive z score, admission to an ICU was associated with greater decline in scores over time compared with participants not requiring ICU admission (difference in annual slope = –0.028; 95% CI, –0.044 to –0.012; p < 0.001). ICU admission was associated with greater declines in memory (–0.029; 95% CI, –0.047 to –0.011; p = 0.002), attention/executive (–0.020; 95% CI, –0.037 to –0.004; p = 0.016), and visuospatial (–0.013; 95% CI, –0.026 to –0.001; p = 0.041) domains. ICU admissions with delirium were associated with greater declines in memory (interaction p = 0.006) and language (interaction p = 0.002) domains than ICU admissions without delirium. Conclusions: In older adults, ICU admission was associated with greater long-term cognitive decline compared with patients without ICU admission. These findings were more pronounced in those who develop delirium while in the ICU.

BACKGROUNDThe prevention of excessive allogeneic red blood cell (RBC) transfusion is an important component of patient blood management initiatives. In this investigation, changes in transfusion behaviors following modification of computerized physician order entry (CPOE) procedures for RBC transfusions to a single‐unit default quantity were assessed.STUDY DESIGN AND METHODSThis is an observational cohort study of adults for whom nonemergency allogeneic RBC transfusions were ordered in the 2 years before and 2 years after the date of modification of the CPOE system to a single‐unit default (June 18, 2015). Changes in the frequency of single‐ versus multiunit RBC transfusion orders and other transfusion metrics were compared between preintervention and postintervention cohorts.RESULTSA total of 52,773 unique transfusion orders for 61,989 RBC units were included, of which 60,045 (96.9%) were transfused. Single‐unit orders increased annually, from 10,404 (74.1%) in the first year to 11,645 (88.6%) in the last year, while multiunit orders decreased by more than half (p < 0.0001). The number of RBC units transfused decreased by 13.9% from 32,528 in the preintervention cohort to 27,497 in the post intervention cohort (p < 0.0001) with an estimated reduction in transfusion‐related expenditures of nearly $4 million. The percentage of transfusions associated with a posttransfusion hemoglobin of10 g/dL or greater decreased by 34.5% (p < 0.0001).CONCLUSIONModification of the CPOE process such that nonemergency RBC transfusion orders were defaulted to a single unit was associated with decreased rates of multiunit RBC transfusion orders, lower transfusion volumes, and substantial cost savings.

BACKGROUNDIntraoperative plasma transfusion is common, yet little is known regarding its effects on perioperative coagulation tests or clinical outcomes.STUDY DESIGN AND METHODSThis is a retrospective cohort study of adults receiving intraoperative plasma transfusion at a single center from 2011 to 2015. Relationships between plasma transfusion volume, changes in coagulation test values, and clinical outcomes, including a primary outcome of early postoperative red blood cell (RBC) transfusion, were assessed with multivariable regression analyses. Secondary outcomes included hospital mortality, intensive care unit (ICU)‐ and hospital‐free days, intraoperative RBC transfusions, and estimated blood loss.RESULTSA total of 3393 unique patients were included, with median (IQR) transfusion of 2 (2‐4) units. In multivariable analyses, higher plasma volumes were associated with worse outcomes, with each 1 mL/kg increase associated with increased odds for postoperative (1.02 [1.01‐1.03], p < 0.001) and intraoperative RBCs (1.17 [1.16‐1.19], p < 0.001) and fewer ICU‐ and hospital‐free days (mean difference [95% CI], –0.08 [−0.12 to −0.05], p < 0.001; and −0.09 [−0.13 to −0.06], p < 0.001, respectively). Greater decreases in international normalized ratio (INR) following plasma transfusion were associated with decreased odds of postoperative RBCs (0.35 [0.25‐0.47], p < 0.001), decreased mortality (0.50 [0.31‐0.83], p = 0.007), and increased mean ICU‐ (1.31 [0.41‐2.21], p = 0.004) and hospital‐free days (1.15 [0.19‐2.10], p = 0.018).CONCLUSIONIn patients receiving intraoperative plasma transfusion, higher transfusion volumes were associated with inferior clinical outcomes; however, greater improvements in INR were associated with improved outcomes. Future prospective studies are necessary to better define these relationships and to explore plasma transfusion triggers beyond the limitations of INR.

Objectives: We examined recommendations within critical care guidelines to describe the pairing patterns for strength of recommendation and quality of evidence. We further identified recommendations where the reported strength of recommendation was strong while the reported quality of evidence was not high/moderate and then assessed whether such pairings were within five paradigmatic situations offered by Grading of Recommendations Assessment, Development and Evaluation methodology to justify such pairings. Data Sources and Extraction: We identified all clinical critical care guidelines published online from 2011 to 2017 by the Society of Critical Care Medicine along with individual guidelines published by Surviving Sepsis Campaign, Kidney Disease Improving Global Outcomes, American Society for Parenteral and Enteral Nutrition, and the Infectious Disease Society of America/American Thoracic Society. Data Synthesis: In all, 15 documents specifying 681 eligible recommendations demonstrated variation in strength of recommendation (strong n = 215 [31.6%], weak n = 345 [50.7%], none n = 121 [17.8%]) and in quality of evidence (high n = 41 [6.0%], moderate n = 151 [22.2%], low/very low n = 298 [43.8%], and Expert Consensus/none n = 191 [28.1%]). Strength of recommendation and quality of evidence were positively correlated ( ρ = 0.66; p < 0.0001). Of 215 strong recommendations, 69 (32.1%) were discordantly paired with evidence other than high/moderate. Twenty-two of 69 (31.9%) involved Strong/Expert Consensus recommendations, a category discouraged by Grading of Recommendations Assessment, Development and Evaluation methodology. Forty-seven of 69 recommendations (68.1%) were comprised of Strong/Low or Strong/Very Low variation requiring justification within five paradigmatic scenarios. Among distribution in the five paradigmatic scenarios of Strong/Low and Strong/Very Low recommendations, the most common paradigmatic scenario was life threatening situation ( n = 20/47; 42.6%). Four Strong/Low or Strong/Very Low recommendations (4/47; 8.5%) were outside Grading of Recommendations Assessment, Development and Evaluation methodology. Conclusions: Among a large, diverse assembly of critical care guideline recommendations using Grading of Recommendations Assessment, Development and Evaluation methodology, the strength of evidence of a recommendation was generally associated with the quality of evidence. However, strong recommendations were not infrequently made in the absence of high/moderate quality of evidence. To improve clarity and uptake, future guideline statements may specify why such pairings were made, avoid such pairings when outside of Grading of Recommendations Assessment, Development and Evaluation criteria, and consider separate language for Expert Consensus recommendations (good practice statements).