Patient Blood Management as Standard of Care

Patient blood management programmes: keeping the ball rolling

Patient blood management programmes have been endorsed by the World Health Organization and multiple medical societies. It seems important to review the progress and results of patient blood management programmes so necessary modifications or new initiatives can be added to achieve their major goals. In this issue of the British Journal of Anaesthesia, Meybohm and colleagues show that a nationwide patient blood management programme had an impact and was potentially cost-effective in centres that previously utilised large amounts of allogeneic blood transfusions. Before implementing a programme, each institution might need to identify the area(s) of deficiency with respect to established patient blood management methods, which will warrant specific focus in subsequent clinical practice reviews.

Pre-operative anemia and peri-operative transfusion are associated with poor oncologic outcomes in cancers of the esophagus: potential impact of patient blood management on cancer outcomes

BACKGROUND

Both Red Blood Cell (RBC) transfusion and anemia are thought to negatively impact cancer survival. These effects have been reported with mixed findings in cancer of the esophagus. The potential impact of the application of restrictive transfusion strategies on this patient population has not been defined.

MATERIALS AND METHODS

We conducted a retrospective study of esophagectomies and studied cases based on whether they were anemic or were transfused peri-operatively. Clinical characteristics and known clinicopathologic prognosticators were compared between these groups. Survival was compared by Cox proportional hazard modeling. Post-operative transfusions were assessed for compliance with restrictive transfusion thresholds.

RESULTS

Three-hundred ninety-nine esophagectomy cases were reviewed and after exclusions 348 cases were analyzed. The median length of follow-up was 33 months (range 1-152 months). Sixty-four percent of patients were anemic pre-operatively and 22% were transfused. Transfusion and anemia were closely related to each other. Microcytic anemia was uncommon but was evaluated and treated in only 50% of cases. Most anemic patients had normocytic RBC parameters. Transfusion but not anemia was associated with a protracted/prolonged post-operative stay. Transfusion and anemia were both associated with reduced survival however only anemia was associated with decreased survival in multi-variable modeling. Sixty-eight percent of patients were transfused post-operatively and 11% were compliant with the restrictive threshold of 7 g/dL.

CONCLUSIONS

Pre-operative anemia and transfusion are closely associated, however only anemia was found to compromise survival in our esophageal cancer cohort, supporting the need for more aggressive evaluation and treatment of anemia. Adherence to restrictive transfusion guidelines offers an opportunity to reduce transfusion rates which may also improve short-term outcomes.

Machine learning-based prediction of massive perioperative allogeneic blood transfusion in cardiac surgery

BACKGROUND

Massive perioperative allogeneic blood transfusion, that is, perioperative transfusion of more than 10 units of packed red blood cells (pRBC), is one of the main contributors to perioperative morbidity and mortality in cardiac surgery. Prediction of perioperative blood transfusion might enable preemptive treatment strategies to reduce risk and improve patient outcomes while reducing resource utilisation. We, therefore, investigated the precision of five different machine learning algorithms to predict the occurrence of massive perioperative allogeneic blood transfusion in cardiac surgery at our centre.

OBJECTIVE

Is it possible to predict massive perioperative allogeneic blood transfusion using machine learning?

DESIGN

Retrospective, observational study.

SETTING

Single adult cardiac surgery centre in Austria between 01 January 2010 and 31 December 2019.

PATIENTS

Patients undergoing cardiac surgery.

MAIN OUTCOME MEASURES

Primary outcome measures were the number of patients receiving at least 10 units pRBC, the area under the curve for the receiver operating characteristics curve, the F1 score, and the negative-predictive (NPV) and positive-predictive values (PPV) of the five machine learning algorithms used to predict massive perioperative allogeneic blood transfusion.

RESULTS

A total of 3782 (1124 female:) patients were enrolled and 139 received at least 10 pRBC units. Using all features available at hospital admission, massive perioperative allogeneic blood transfusion could be excluded rather accurately. The best area under the curve was achieved by Random Forests: 0.810 (0.76 to 0.86) with high NPV of 0.99). This was still true using only the eight most important features [area under the curve 0.800 (0.75 to 0.85)].

CONCLUSION

Machine learning models may provide clinical decision support as to which patients to focus on for perioperative preventive treatment in order to preemptively reduce massive perioperative allogeneic blood transfusion by predicting, which patients are not at risk.

TRIAL REGISTRATION

Johannes Kepler University Ethics Committee Study Number 1091/2021, Clinicaltrials.gov identifier NCT04856618.

ONTraC: A 20-Year History of a Successfully Coordinated Provincewide Patient Blood Management Program: Lessons Learned and Goals Achieved

Our understanding of the risks associated with perioperative anemia and transfusion, in terms of increased morbidity and mortality, has evolved over the past 2 decades. By contrast, our understanding of the potential mechanisms of injury and optimal treatment strategies remains incomplete. As such, the important role of effective patient blood management (PBM) programs, which address both the effective treatment of anemia and minimizes the need for red blood cell (RBC) transfusion, is of central importance to optimizing patient care and improving patient outcomes. We report on important clinical outcomes of the Ontario Transfusion Coordinator (ONTraC Program), a network of 25 hospital sites, working in coordination over the past 20 years. Transfusion nurse coordinators were assigned to apply multimodal best practice in PBM (including recommended changes in surgical approach; diagnosis, assessment, and treatment of anemia; and adherence to more restrictive RBC transfusion thresholds). Data were collected on various clinical parameters. We further described lessons learned and difficulties encountered in this multisite PBM initiative. A significant reduction in RBC transfusions was observed for numerous indexed surgeries. For example, RBC transfusion rates for knee arthroplasty decreased from 25% in 2002 to 0.4% in 2020. For coronary artery bypass graft (CABG) surgery, transfusion rates decreased from 60% in 2002 to 27% in 2020. We also observed a decrease in RBC units utilized per transfused patient for knee (2.1 ± 0.5 [2002] vs 1.0 ± 0.6 [2020] units per patient) and CABG surgery (3.3 ± 0.6 [2002] vs 2.3 ± 1.9 [2020] units per patient). These reductions were associated with favorable clinical outcomes, including reduced length of hospital stay (P = .00003) and a reduced rate of perioperative infections (P < .001) for nontransfused versus transfused patients. These advances have been achieved with estimated savings in the tens of millions of dollars annually. Our experience and data support the hypothesis that instituting an integrated network of transfusion nurse coordinators can provide an effective provincewide PBM program, reduce RBC transfusions, improve some patient outcomes, and reduce health care costs, as an example of a "win-win-win" medical program.

Artificial Intelligence and Machine Learning in Patient Blood Management: A Scoping Review

Machine learning (ML) and artificial intelligence (AI) are widely used in many different fields of modern medicine. This narrative review gives, in the first part, a brief overview of the methods of ML and AI used in patient blood management (PBM) and, in the second part, aims at describing which fields have been analyzed using these methods so far. A total of 442 articles were identified by a literature search, and 47 of them were judged as qualified articles that applied ML and AI techniques in PBM. We assembled the eligible articles to provide insights into the areas of application, quality measures of these studies, and treatment outcomes that can pave the way for further adoption of this promising technology and its possible use in routine clinical decision making. The topics that have been investigated most often were the prediction of transfusion (30%), bleeding (28%), and laboratory studies (15%). Although in the last 3 years a constantly increasing number of questions of ML in PBM have been investigated, there is a vast scientific potential for further application of ML and AI in other fields of PBM.

Transfusion 2024: A 5-year plan for clinical and laboratory transfusion in England

The Transfusion 2024 plan outlines key priorities for clinical and laboratory transfusion practice for safe patient care across the NHS for the next 5 years. It is based on the outcomes of a multi-professional symposium held in March 2019, organised by the National Blood Transfusion Committee (NBTC) and NHS Blood and Transplant (NHSBT), attended and supported by Professor Keith Willet and Dame Sue Hill on behalf of NHS England and Improvement. This best practice guidance contained within this publication will facilitate the necessary change in pathway design to meet the transfusion challenges and pressures for the restoration of a cohesive, and functional, healthcare system across the NHS following the COVID-19 pandemic.

Estimating Surgical Blood Loss Volume Using Continuously Monitored Vital Signs

Background: There are currently no effective and accurate blood loss volume (BLV) estimation methods that can be implemented in operating rooms. To improve the accuracy and reliability of BLV estimation and facilitate clinical implementation, we propose a novel estimation method using continuously monitored photoplethysmography (PPG) and invasive arterial blood pressure (ABP). Methods: Forty anesthetized York Pigs (31.82 ± 3.52 kg) underwent a controlled hemorrhage at 20 mL/min until shock development was included. Machine-learning-based BLV estimation models were proposed and tested on normalized features derived by vital signs. Results: The results showed that the mean ± standard deviation (SD) for estimating BLV against the reference BLV of our proposed random-forest-derived BLV estimation models using PPG and ABP features, as well as the combination of ABP and PPG features, were 11.9 ± 156.2, 6.5 ± 161.5, and 7.0 ± 139.4 mL, respectively. Compared with traditional hematocrit computation formulas (estimation error: 102.1 ± 313.5 mL), our proposed models outperformed by nearly 200 mL in SD. Conclusion: This is the first attempt at predicting quantitative BLV from noninvasive measurements. Normalized PPG features are superior to ABP in accurately estimating early-stage BLV, and normalized invasive ABP features could enhance model performance in the event of a massive BLV.

Controversies in the Clinical Practice of Patient Blood Management

Patient blood management (PBM) has been proposed as a standard of care in modern perioperative medicine. PBM-related interventions usually are implemented as bundles, but randomized controlled trials on the implementation of PBM as a bundle are missing. This special article focuses on the current evidence and controversies in the clinical practice of PBM and on emerging data related to specific PBM-related interventions in patients undergoing cardiac surgery. Strong evidence for many PBM-related interventions is limited because of missing studies or the poor quality of published findings and study endpoints. Restrictive blood transfusion and timely interventions to maintain hemoglobin concentration and to reduce blood loss potentially might result in improved patient outcome, although the latter has yet to be proven.

RBC Transfusion Triggers: Is There Anything New?

For many years, in daily clinical practice, the traditional 10/30 rule (hemoglobin 10 g/dL - hematocrit 30%) has been the most commonly used trigger for blood transfusions. Over the years, this approach is believed to have contributed to a countless number of unnecessary transfusions and an unknown number of overtransfusion-related deaths. Recent studies have shown that lower hemoglobin levels can safely be accepted, even in critically ill patients. However, even these new transfusion thresholds are far beyond the theoretical limits of individual anemia tolerance. For this reason, almost all publications addressing the limits of acute anemia recommend physiological transfusion triggers to indicate the transfusion of erythrocyte concentrates as an alternative. Although this concept appears intuitive at first glance, no solid scientific evidence supports the safety and benefit of physiological transfusion triggers to indicate the optimal time point for transfusion of allogeneic blood. It is therefore imperative to continue searching for the most sensitive and specific parameters that can guide the clinician when to transfuse in order to avoid anemia-induced organ dysfunction while avoiding overtransfusion-related adverse effects. This narrative review discusses the concept of anemia tolerance and critically compares hemoglobin-based triggers with physiological transfusion for various clinical indications.

When Evidence Goes "Missing in Action": Implications for Patient Management in Cardiac Surgery

Best-practice clinical decision-making for patient blood management (PBM) and transfusion in cardiac surgery requires high-quality, timely information. However, evidence will be misleading if published information lags too far behind evolving practice, or if trial results are biased, incomplete, or unreported. The result is that providers are deprived of accurate data, and patients will not receive best possible care. Publicly accessible trial registries provide information for structured audits of reporting compliance, and appraisal of evidence attrition and distortion. Trials related to blood management and transfusion in cardiac surgery and those registered in ClinicalTrials.gov were evaluated for relevance, reliability, transparency, timeliness, and prevalence of unreported trial results. Evidence was considered to have "disappeared" if no results were posted to the registry and no related PUBMED publications were available by July 2019. Data were summarized by descriptive statistics. A total of 181 registered trials were surveyed; 52% were prospectively registered. Most commonly reported primary outcomes were laboratory surrogate measures (34%). Patient- and practice-relevant outcomes-mortality/major morbidity (7%), transfusion (27%), and major bleeding (28%)-were less common. Only seven studies posted results to the registry within the mandated 12 months from study completion; median time to posting was 17 (interquartile range [IQR] 13, 37) months. Trial results for 58% were unreported 3-9 years after trial completion. A staggering amount of clinical trial evidence for PBM in cardiac surgery is missing from publicly accessible records and the literature. Investigators must be incentivized to promptly and completely report all results. Penalties for noncompliance are already in place and should be enforced. Simplified information linkage, centralized and routine audit cycles, and prioritization of robust "living" reviews may be more positive motivators. Implementation will require a sea change in the prevailing culture of research reporting, plus coordinated efforts of clinicians, applied statisticians, information technology specialists, and research librarians.

Patient blood management as the standard of care

Blood transfusion is one of the most common hospital procedures in developed countries. However, inappropriate use of blood transfusion is common, and this is of considerable concern because transfusion is known to be associated with adverse events and is costly. Reductions in blood use have resulted from recent evidence indicating that restrictive use of red blood cell transfusions is associated with similar patient outcomes to liberal strategies and from a focus on patient blood management (PBM), which recognizes the importance of conserving the patient's own blood alongside the judicious use of transfusion. A recent Consensus Conference in Frankfurt developed practice and research recommendations for PBM but also indicated that additional studies are needed to provide better evidence for PBM interventions, including for improved patient outcomes and lower hospital costs as well as for reductions in blood utilization. In the meanwhile, it is of utmost importance to translate PBM guidelines into practical day-to-day recommendations and encourage their use to make PBM "the standard of care."

Patient Blood Management in Pediatric Cardiac Surgery: A Review

Efforts to reduce blood product transfusions and adopt blood conservation strategies for infants and children undergoing cardiac surgical procedures are ongoing. Children typically receive red blood cell and coagulant blood products perioperatively for many reasons, including developmental alterations of their hemostatic system, and hemodilution and hypothermia with cardiopulmonary bypass that incites inflammation and coagulopathy and requires systemic anticoagulation. The complexity of their surgical procedures, complex cardiopulmonary interactions, and risk for inadequate oxygen delivery and postoperative bleeding further contribute to blood product utilization in this vulnerable population. Despite these challenges, safe conservative blood management practices spanning the pre-, intra-, and postoperative periods are being developed and are associated with reduced blood product transfusions. This review summarizes the available evidence regarding anemia management and blood transfusion practices in the perioperative care of these critically ill children. The evidence suggests that adoption of a comprehensive blood management approach decreases blood transfusions, but the impact on clinical outcomes is less well studied and represents an area that deserves further investigation.

Transfusion requirement and length of stay of anaemic surgical patients associated with a patient blood management service: a single-Centre retrospective study

OBJECTIVE

To assess the value of patient blood management (PBM) in the detection and management of preoperative anaemia before elective surgery.

BACKGROUND

PBM is recognised as the standard of care, with diagnosis and management of preoperative anaemia being the key components of PBM. No formal assessment of the value of PBM anaemia screening and correction before scheduled surgery had been made at our hospital.

METHODS

We conducted a retrospective study in a tertiary-care, academic hospital of consecutive records of elective surgery (n = 25 641). We excluded minor surgeries. We identified anaemic patients who had been assessed by PBM or not (non-PBM). We calculated transfusion incidence and hospital length of stay (LOS) across all surgical specialities.

RESULTS

During the 1-year study period, 15 245 patients were eligible for inclusion; 311 patients (2·0%) were transfused, and 83·3% of transfusions were in anaemic patients. Transfusion incidence was 9·2% in anaemic PBM-assessed patients and 17·4% in non-PBM patients. For haemoglobin (Hb) <100 g L^-1 , the transfusion incidence was 22·1% [95% confidence interval (CI) 15·5-30·6%] in PBM and 40·0% (95% CI 35·1-45·0%) in non-PBM patients, and for Hb 100-119 g L^-1 , it was 4·7% (95% CI 2·8-7·5%) and 7·9% (95% CI 6·3-9·8%), respectively. Overall mean LOS was 2·1 days [standard deviation (SD) 6·0]. Mean LOS with Hb <100 g L^-1 was 6·7 days (SD 14·8) in PBM-assessed patients and 12·4 days (SD 19·5) in non-PBM patients and was 3·1 (SD 5·2) and 6·2 (SD 9·5) days, respectively, for Hb 100-119 g L^-1 .

CONCLUSION

Anaemic elective surgery patients assessed by patient blood management (PBM) had a markedly lower transfusion risk and shorter LOS than anaemic patients not assessed by PBM.

Implementation of a patient blood management program in hematopoietic stem cell transplantation (Editorial, p. 2763)

BACKGROUND

Recipients 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 METHODS

This 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.

RESULTS

We 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.

CONCLUSION

Patient 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.

TACO and TRALI: biology, risk factors, and prevention strategies

Transfusion-related acute lung injury (TRALI) and transfusion-associated circulatory overload (TACO) are the leading causes of transfusion-related morbidity and mortality. These adverse events are characterized by acute pulmonary edema within 6 hours of a blood transfusion and have historically been difficult to study due to underrecognition and nonspecific diagnostic criteria. However, in the past decade, in vivo models and clinical studies utilizing active surveillance have advanced our understanding of their epidemiology and pathogenesis. With the adoption of mitigation strategies and patient blood management, the incidence of TRALI and TACO has decreased. Continued research to prevent and treat these severe cardiopulmonary events is focused on both the blood component and the transfusion recipient.

Management of anemia in patients who decline blood transfusion

Declining a treatment modality should not be considered the same as refusal of medical care as illustrated by the management of Jehovah's Witness patients who do not accept transfusions. Over the years, a comprehensive set of strategies have been developed to meet the specific needs of these patients and these strategies are collectively called "Bloodless Medicine and Surgery" (BMS). The focus in BMS is to optimize the patients' hematopoietic capacity to increase hemoglobin (Hgb) level, minimize blood loss, improve hemostasis, and provide supportive strategies to minimize oxygen consumption and maximize oxygen utilization. We present 3 case reports that illustrate some of the challenges faced and measures available to effectively treat these patients. Under BMS programs, patients with extremely low hemoglobin levels, not conducive to survival under ordinary conditions, have survived and recovered without receiving allogeneic transfusions. Additionally, the valuable experience gained from caring for these patients has paved the way to develop the concept of Patient Blood Management as a standard care to benefit all patients, and not only those for whom blood is not an option.

Comprehensive Preoperative Assessment and Global Optimization

To successfully deliver greater perioperative value-based care and to effectively contribute to sustained and meaningful perioperative population health management, the scope of existing preoperative management and its associated services and care provider skills must be expanded. New models of preoperative management are needed, which rely extensively on continuously evolving evidence-based best practice, as well as telemedicine and telehealth, including mobile technologies and connectivity. Along with conventional comorbidity optimization, prehabilitation can effectively promote enhanced postoperative recovery. This article focuses on the opportunities and mechanisms for delivering value-based, comprehensive preoperative assessment and global optimization of the surgical patient.

A data-driven patient blood management strategy in liver transplantation

BACKGROUND AND OBJECTIVES

Blood utilization during liver transplant has decreased, but remains highly variable due to many complex surgical and physiologic factors. Previous models attempted to predict utilization using preoperative variables to stratify cases into two usage groups, usually using entire blood units for measurement. We sought to develop a practical predictive model using specific transfusion volumes (in ml) to develop a data-driven patient blood management strategy.

MATERIALS AND METHODS

This is a retrospective evaluation of primary liver transplants at a single institution from 2013 to 2015. Multivariable analysis of preoperative recipient and donor factors was used to develop a model predictive of intraoperative red-blood-cell (pRBC) use.

RESULTS

Of 256 adult liver transplants, 207 patients had complete transfusion volume data for analysis. The median intraoperative allogeneic pRBC transfusion volume was 1250 ml, and the average was 1563 ± 1543 ml. Preoperative haemoglobin, spontaneous bacterial peritonitis, preoperative haemodialysis and preoperative international normalized ratio together yielded the strongest model predicting pRBC usage. When it predicted <1250 ml of pRBCs, all cases with 0 ml transfused were captured and only 8·6% of the time >1250 ml were used. This prediction had a sensitivity of 0·91 and a specificity of 0·89. If predicted usage was >2000 ml, 75% of the time blood loss exceeded 2000 ml.

CONCLUSION

Patients likely to require low or high pRBC transfusion volumes were identified with excellent accuracy using this predictive model at our institution. This model may help predict bleeding risk for each patient and facilitate optimized blood ordering.

The blood utilization calculator, a target-based electronic decision support algorithm, increases the use of single-unit transfusions in a large academic medical center

BACKGROUND

Electronic decision support has been used to reduce use of red blood cell (RBC) transfusion. With the goal of reducing transfusions, we modified our RBC orders to default to 1 unit. Next, we created a target-based algorithm, the blood utilization calculator or BUC, to calculate a dose in units, based on initial hemoglobin or hematocrit and weight.

STUDY DESIGN AND METHODS

RBC orders defaulted to 1 unit in March 2016 and the BUC was implemented in July 2016. This gave three periods to compare old orders (before intervention), new orders (1-unit default), and the BUC period. A hospital dashboard that tracks blood product orders was queried to determine changes in single-unit transfusions between periods. Changes in transfusions were compared by analysis of variance. Acceptance of the BUC dosage recommendation was studied in both medical-based and surgical-based specialties.

RESULTS

The number of single-unit transfusions showed significant increases after each of the two interventions studied from 247 ± 19 before interventions to 358 ± 19 and then to 445 ± 141-unit transfusions/month (p < 0.0001). The ratio of 1-unit to 2-unit transfusions increased from 0.72 to 1.67 (p < 0.0001) and we observed a 19% overall reduction in units transfused. The BUC recommendation was accepted in 49% of orders.

CONCLUSIONS

One-unit default orders and implementation of the BUC resulted in a significant increase in the use of single-unit transfusions. Improvement in the rate of acceptance of the BUC recommendation should further increase the use of single-unit transfusions.

Outcomes of red blood cell transfusions prescribed in organ donors by the Digital Intern, an electronic decision support algorithm

BACKGROUND

The Digital Intern (DI) is an electronic decision support tool for the management of organ donors. One algorithm determines the dose, in units of red blood cells to be transfused, based on hematocrit (Hct) thresholds and targets. The effectiveness of the transfusion dose calculated by the DI in terms of achieving the selected Hct target and the duration of the targeted dose is not known.

STUDY DESIGN AND METHODS

This was a retrospective study to describe the outcomes of transfusions prescribed by the DI. Pre- and posttransfusion Hct levels were compared to define response and all posttransfusion Hct values were plotted to evaluate the duration of the prescribed dose.

RESULTS

A total of 120 organ donors were studied and 22 donors had 28 transfusions (six were transfused twice). The transfused donors were a mix of trauma and medical admissions and brain death and cardiac death donors. The transfusion target of 24% Hct was attained in 96% of transfusions. The mean number of units transfused was 1.4 and the mean time from transfusion to procurement was 19.8 hours. There was a decline in Hct over time after transfusion in all but one case with a mean decline of 1.9% Hct over 13 hours. Six donors were transfused twice, likely due to a longer donor time period (41.7 hr vs. 27 hr).

CONCLUSIONS

The DI provided transfusion dosing that achieved the desired threshold in the majority of organ donors transfused. Ongoing work focuses on application of this technology to transfusions in general patient populations.

Preoperative management of colorectal cancer-induced iron deficiency anemia in clinical practice: data from a large observational cohort

BACKGROUND

Preoperative anemia prevalence among colorectal cancer (CRC) patients is high and may adversely influence postoperative outcome. This study assesses the efficacy of a preoperative anemia managing protocol in CRC.

STUDY DESIGN AND METHODS

This was a retrospective analysis of consecutive CRC resections at two Spanish centers (January 2012 to December 2013). Preoperative anemia was defined as a hemoglobin (Hb) level of less than 13 g/dL and treated with intravenous iron (IVI) or standard care (oral iron or no iron). Red blood cell transfusion (RBCT) requirements was the primary outcome variable. Postoperative infection rate and length of hospital stay (LOS) were secondary outcome variables. Patients were managed with a restrictive transfusion trigger (Hb < 8 g/dL). Infection was diagnosed clinically and confirmed by laboratory, microbiologic, and/or radiologic evidence.

RESULTS

Overall, 322 of 571 patients (56%) presented with anemia: 232 received IVI and 90 standard care. There were differences in RBCT rate between no anemia and anemia (2% vs. 16%; p < 0.01), but not in postoperative infections (19% vs. 22%; p = NS) or LOS. Compared to those on standard care, anemic patients on IVI presented with lower Hb (10.8 g/dL vs. 12.0 g/dL; p < 0.001) at baseline, but similar Hb on day of surgery and Postoperative Day 30. There were no between-group differences in RBCT rates (16% vs. 17%; p = NS), but infection rates were lower among IVI-treated patients (18% vs. 29%; p < 0.05). No relevant IVI-related side effects were recorded.

CONCLUSION

Compared to standard care, IVI was more effective in treating preoperative anemia in CRC patients and appeared to reduce infection rate, although it did not reduce postoperative RBCT.

Preoperative anemia associated with adverse outcomes after infrainguinal bypass surgery in patients with chronic limb-threatening ischemia

OBJECTIVE

Preoperative anemia in elderly patients undergoing surgery is prevalent and associated with adverse events; however, the interaction with other risk factors in patients with chronic limb-threatening ischemia (CLTI) is not well described. The purpose of this study was to assess the association between lower hematocrit (HCT) levels on admission and postoperative outcomes after infrainguinal bypass surgery.

METHODS

Patients with CLTI undergoing nonemergent infrainguinal bypass were identified in the targeted vascular module of National Surgical Quality Improvement Program (NSQIP; 2011-2014). The 30-day outcomes were compared across preoperative HCT levels: severe (≤29%), moderate (29.1%-34%), mild (34.1%-39%), or no anemia (>39%), with no anemia serving as the reference group for all analyses. Independent associations between levels of anemia and postoperative outcomes were established using multivariable logistic regression. A sensitivity analysis was performed to assess interactions between preoperative anemia and blood transfusions.

RESULTS

We identified 5081 patients undergoing bypass, of which 741 (15%) had severe, 1317 (26%) moderate, 1516 (30%) mild, and 1507 (30%) no anemia. Anemic patients were older and more commonly suffered from tissue loss and comorbidities (eg, hypertension, diabetes, and renal insufficiency; all P < .001). After adjustment for baseline conditions, mortality was higher in those with severe anemia (3.1%; odds ratio [OR], 2.8; 95% confidence interval [CI], 1.3-6.3) and moderate anemia (3.0%; OR, 2.6; 95% CI, 1.2-5.5) compared with those without anemia (0.7%). Severe anemia was independently associated with major amputation (6.9% vs 3.3%; OR, 1.6; 95% CI, 1.01-2.6) compared with no anemia. Anemia on admission was additionally associated with several other adverse outcomes, such as major adverse cardiovascular event (MACE; severe: OR, 1.9; 95% CI, 1.1-3.0; moderate: OR, 1.9; 95% CI, 1.3-2.9; mild: OR, 1.6; 95% CI, 1.1-2.4) and unplanned return to the operating room (severe: OR, 1.6; 95% CI, 1.2-2.1; moderate: OR, 1.5; 95% CI, 1.2-1.8; mild, OR: 1.3; 95% CI, 1.03-1.6). Moreover, mortality associated with preoperative anemia was not different in patients receiving postoperative blood transfusions compared with those who did not, whereas MACE was significantly higher in patients with preoperative anemia and blood transfusions (interaction; P < .001).

CONCLUSIONS

Mortality and major adverse events in CLTI patients undergoing infrainguinal bypass are inversely associated with preoperative HCT levels, with the highest event rates in the most severely anemic patients. The correlation between anemia and MACE-but not mortality-was stronger in those patients receiving postoperative blood transfusions. Further research is needed to define an appropriate transfusion threshold, and attention should be focused on how to best optimize anemic CLTI patients before intervention.