Transfusion-Associated Circulatory Overload in ICUs: A Scoping Review of Incidence, Risk Factors, and Outcomes.

Transfusion-associated circulatory overload is the most frequent serious adverse transfusion reaction, with an incidence close to 1% of transfused patients in the general adult population. Patients in ICUs are probably more at risk of transfusion-associated circulatory overload as they are more frequently transfused and associated with more comorbidities. However, the epidemiology of transfusion-associated circulatory overload in ICU is not well characterized, leading to a risk of underdiagnosis. OBJECTIVES: We conducted a scoping review to describe the incidence, risk factors, and outcomes of transfusion-associated circulatory overload in PICU and adult ICU. DATA SOURCES: PubMed, Ovid Medline, Ovid All EBM Reviews, Ovid Embase, and EBSCO CINAHL COMPLETE. STUDY SELECTION: Two reviewers independently screened each article for inclusion criteria. Studies were eligible if they reported data on incidence, risk factors, or outcomes of transfusion-associated circulatory overload in at least 10 ICU patients. DATA SYNTHESIS: Among 5,926 studies identified, nine were included. Five studies were prospective, and four were retrospective. The definition of transfusion-associated circulatory overload varied among studies. The pooled incidence of transfusion-associated circulatory overload was of 5.5% (95% CI, 2.6-9.4%) in adult ICUs (four studies, 2,252 patients, high heterogeneity). In PICUs, two studies (345 patients) reported 0 cases, and a third study (136 patients) reported variable incidences between 1.5% and 76%, depending on diagnostic criteria. Risk factors for transfusion-associated circulatory overload included positive fluid balance, the number and type of products transfused, rate of transfusion, and cardiovascular and renal comorbidities. Transfusion-associated circulatory overload was associated with increased ICU and hospital lengths of stay, whereas the association with mortality was not consistent. CONCLUSIONS: Transfusion-associated circulatory overload is frequent in ICU patients and is associated with adverse outcomes. The lack of a pediatric-adjusted definition of transfusion-associated circulatory overload may lead to a risk of underdiagnosis of this condition in PICUs. Further research is warranted to improve the knowledge of transfusion-associated circulatory overload and the safety of transfusion in ICU patients.

Acute pediatric hyperammonemia: current diagnosis and management strategies.

Acute hyperammonemia may induce a neurologic impairment leading to an acute life-threatening condition. Coma duration, ammonia peak level, and hyperammonemia duration are the main risk factors of hyperammonemia-related neurologic deficits and death. In children, hyperammonemia is mainly caused by severe liver failure and inborn errors of metabolism. In an acute setting, obtaining reliable plasma ammonia levels can be challenging because of the preanalytical difficulties that need to be addressed carefully. The management of hyperammonemia includes 1) identification of precipitating factors and cerebral edema presence, 2) a decrease in ammonia production by reducing protein intake and reversing catabolism, and 3) ammonia removal with pharmacologic treatment and, in the most severe cases, with extracorporeal therapies. In case of severe coma, transcranial Doppler ultrasound could be the method of choice to noninvasively monitor cerebral blood flow and titrate therapies.

Brain Diffusion Imaging and Tractography to Distinguish Clinical Severity of Human PLP1-Related Disorders.

AIMS: We performed quantitative diffusion tensor imaging and brain tractography to distinguish clinical severity in a series of 35 patients with hypomyelinating PLP1-related disorders classified using the Motor Developmental Score according to the best motor function acquired before the age of 5 years and the gross motor function measure (GMFM) at the time of magnetic resonance imaging acquisition. METHODS: We calculated fractional anisotropy and diffusivity values in 26 regions of interest and the numbers of fibers and volumes of hemisphere tractograms. Fiber bundles on tractograms were characterized according to 3 criteria: size, direction of main-stream fibers, and connectivity of bundles (extratelencephalic projections, commissural fibers, and intrahemispheric connections). RESULTS: Age-adjusted multivariate analysis in 3 severity groups revealed increased isotropic diffusion in the superior cerebellar peduncle and grey matter in the most severe group, and larger tractogram volumes and increased numbers of fibers in the least severely affected group. Tractogram patterns showed preserved extratelencephalic projections and a main anterior-posterior aspect of intrahemispheric fibers in most patients, whereas interhemispheric connectivity was variable. The most severely affected and intermediate patients had less intrahemispheric connectivity, with a frequent predominant anterior-posterior direction of main-stream fibers. INTERPRETATION: Diffusion tensor imaging and tractographic parameters can operate as biomarkers to distinguish clinical severity in PLP1-related disorders and could improve our understanding of hypomyelinating leukodystrophies.