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Hui K, Hong C, Xiong Y, Xia J, Huang W, Xia A, Xu S, Chen Y, Zhang Z, Chen H. LASSO-Based Machine Learning Algorithm for Prediction of PICS Associated with Sepsis. Infect Drug Resist 2024; 17:2701-2710. [PMID: 38974318 PMCID: PMC11225988 DOI: 10.2147/idr.s464906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 06/20/2024] [Indexed: 07/09/2024] Open
Abstract
Introduction This study aims to establish a comprehensive, multi-level approach for tackling tropical diseases by proactively anticipating and managing Persistent Inflammation, Immunosuppression, and Catabolism Syndrome (PICS) within the initial 14 days of Intensive Care Unit (ICU) admission. The primary objective is to amalgamate a diverse array of indicators and pathogenic microbial data to pinpoint pivotal predictive variables, enabling effective intervention specifically tailored to the context of tropical diseases. Methods A focused analysis was conducted on 1733 patients admitted to the ICU between December 2016 and July 2019. Utilizing the Least Absolute Shrinkage and Selection Operator (LASSO) regression, disease severity and laboratory indices were scrutinized. The identified variables served as the foundation for constructing a predictive model designed to forecast the occurrence of PICS. Results Among the subjects, 13.79% met the diagnostic criteria for PICS, correlating with a mortality rate of 38.08%. Key variables, including red-cell distribution width coefficient of variation (RDW-CV), hemofiltration (HF), mechanical ventilation (MV), Norepinephrine (NE), lactic acidosis, and multiple-drug resistant bacteria (MDR) infection, were identified through LASSO regression. The resulting predictive model exhibited a robust performance with an Area Under the Curve (AUC) of 0.828, an accuracy of 0.862, and a specificity of 0.977. Subsequent validation in an independent cohort yielded an AUC of 0.848. Discussion The acquisition of RDW-CV, HF requirement, MV requirement, NE requirement, lactic acidosis, and MDR upon ICU admission emerges as a pivotal factor for prognosticating PICS onset in the context of tropical diseases. This study highlights the potential for significant improvements in clinical outcomes through the implementation of timely and targeted interventions tailored specifically to the challenges posed by tropical diseases.
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Affiliation(s)
- Kangping Hui
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong Province, People’s Republic of China
| | - Chengying Hong
- Department of Critical Care Medicine, Shenzhen People’s Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, People’s Republic of China
| | - Yihan Xiong
- Neurology Department, Shenzhen People’s Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, People’s Republic of China
| | - Jinquan Xia
- Department of Clinical Medical Research Center, the Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), the First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, People’s Republic of China
| | - Wei Huang
- Department of Clinical Microbiology, Shenzhen People’s Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, People’s Republic of China
| | - Andi Xia
- Department of Critical Care Medicine, Shenzhen People’s Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, People’s Republic of China
| | - Shunyao Xu
- Department of Critical Care Medicine, Shenzhen People’s Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, People’s Republic of China
| | - Yuting Chen
- Department of Critical Care Medicine, Shenzhen People’s Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, People’s Republic of China
| | - Zhongwei Zhang
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China
| | - Huaisheng Chen
- Department of Critical Care Medicine, Shenzhen People’s Hospital, Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, People’s Republic of China
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Cavalcante dos Santos E, Bakos P, Orbegozo D, Creteur J, Vincent JL, Taccone FS. Transfusion increased skin blood flow when initially low in volume-resuscitated patients without acute bleeding. Front Med (Lausanne) 2023; 10:1218462. [PMID: 37859856 PMCID: PMC10582983 DOI: 10.3389/fmed.2023.1218462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 08/17/2023] [Indexed: 10/21/2023] Open
Abstract
Background Alterations in skin blood flow is a marker of inadequate tissue perfusion in critically ill patients after initial resuscitation. The effects of red blood cell transfusions (RBCT) on skin perfusion are not described in this setting. We evaluated the effects of red blood cell transfusions on skin tissue perfusion in critically ill patients without acute bleeding after initial resuscitation. Methods A prospective observational study included 175 non-bleeding adult patients after fluid resuscitation requiring red blood cell transfusions. Using laser Doppler, we measured finger skin blood flow (SBF) at skin basal temperature (SBFBT), together with mean arterial pressure (MAP), heart rate (HR), hemoglobin (Hb), central venous pressure (CVP), lactate, and central or mixed venous oxygen saturation before and 1 h after RBCT. SBF responders were those with a 20% increase in SBFBT after RBCT. Results Overall, SBFBT did not significantly change after RBCT [from 79.8 (4.3-479.4) to 83.4 (4.9-561.6); p = 0.67]. A relative increase equal to or more than 20% in SBFBT after RBCT (SBF responders) was observed in 77/175 of RBCT (44%). SBF responders had significantly lower SBFBT [41.3 (4.3-279.3) vs. 136.3 (6.5-479.4) perfusion units; p < 0.01], mixed or central venous oxygen saturation (62.5 ± 9.2 vs. 67.3% ± 12.0%; p < 0.01) and CVP (8.3 ± 5.1 vs. 10.3 ± 5.6 mmHg; p = 0.03) at baseline than non-responders. SBFBT increased in responders [from 41.3 (4.3-279.3) to 93.1 (9.8-561.6) perfusion units; p < 0.01], and decreased in the non-responders [from 136.3 (6.5-479.4) to 80.0 (4.9-540.8) perfusion units; p < 0.01] after RBCT. Pre-transfusion SBFBT was independently associated with a 20% increase in SBFBT after RBCT. Baseline SBFBT had an area under receiver operator characteristic of 0.73 (95% CI, 0.68-0.83) to predict SBFBT increase; A SBFBT of 73.0 perfusion units (PU) had a sensitivity of 71.4% and a specificity of 70.4% to predict SBFBT increase after RBCT. No significant differences in SBFBT were observed after RBCT in different subgroup analyses. Conclusion The skin blood flow is globally unaltered by red blood cell transfusions in non-bleeding critically ill patients after initial resuscitation. However, a lower SBFBT at baseline was associated with a relative increase in skin tissue perfusion after RBCT.
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Affiliation(s)
- Elaine Cavalcante dos Santos
- Department of Intensive Care Medecine, Erasme University Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium
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Fritsch SJ, Dreher M, Simon TP, Marx G, Bickenbach J. Haemoglobin value and red blood cell transfusions in prolonged weaning from mechanical ventilation: a retrospective observational study. BMJ Open Respir Res 2022; 9:9/1/e001228. [PMID: 35701072 PMCID: PMC9198721 DOI: 10.1136/bmjresp-2022-001228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 05/30/2022] [Indexed: 01/28/2023] Open
Abstract
INTRODUCTION The role of haemoglobin (Hb) value and red blood cell (RBC) transfusions in prolonged weaning from mechanical ventilation (MV) is still controversial. Pathophysiological considerations recommend a not too restrictive transfusion strategy, whereas adverse effects of transfusions are reported. We aimed to investigate the association between Hb value, RBC transfusion and clinical outcome of patients undergoing prolonged weaning from MV. METHODS We performed a retrospective, single-centred, observational study including patients being transferred to a specialised weaning unit. Data on demographic characteristics, comorbidities, current and past medical history and the current course of treatment were collected. Weaning failure and mortality were chosen as primary and secondary endpoint, respectively. Differences between transfused and non-transfused patients were analysed. To evaluate the impact of different risk factors including Hb value and RBC transfusion on clinical outcome, a multivariate logistic regression analysis was used. RESULTS 184 patients from a specialised weaning unit were analysed, of whom 36 (19.6%) failed to be weaned successfully. In-hospital mortality was 18.5%. 90 patients (48.9%) required RBC transfusion during the weaning process, showing a significantly lower Hb value (g/L) (86.3±5.3) than the non-transfusion group (95.8±10.5). In the multivariate regression analysis (OR 3.24; p=0.045), RBC transfusion was associated with weaning failure. However, the transfusion group had characteristics indicating that these patients were still in a more critical state of disease. CONCLUSIONS In our analysis, the need for RBC transfusion was independently associated with weaning failure. However, it is unclear whether the transfusion itself should be considered an independent risk factor or an additional symptom of a persistent critical patient condition.
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Affiliation(s)
| | - Michael Dreher
- Department of Pneumology and Intensive Care Medicine, University Hospital RWTH Aachen, Aachen, Germany
| | - Tim-Philipp Simon
- Department of Intensive Care Medicine, University Hospital RWTH Aachen, Aachen, Germany
| | - Gernot Marx
- Department of Intensive Care Medicine, University Hospital RWTH Aachen, Aachen, Germany
| | - Johannes Bickenbach
- Department of Intensive Care Medicine, University Hospital RWTH Aachen, Aachen, Germany
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Mallat J, Rahman N, Hamed F, Hernandez G, Fischer MO. Pathophysiology, mechanisms, and managements of tissue hypoxia. Anaesth Crit Care Pain Med 2022; 41:101087. [PMID: 35462083 DOI: 10.1016/j.accpm.2022.101087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 02/17/2022] [Accepted: 02/18/2022] [Indexed: 11/01/2022]
Abstract
Oxygen is needed to generate aerobic adenosine triphosphate and energy that is required to support vital cellular functions. Oxygen delivery (DO2) to the tissues is determined by convective and diffusive processes. The ability of the body to adjust oxygen extraction (ERO2) in response to changes in DO2 is crucial to maintain constant tissue oxygen consumption (VO2). The capability to increase ERO2 is the result of the regulation of the circulation and the effects of the simultaneous activation of both central and local factors. The endothelium plays a crucial role in matching tissue oxygen supply to demand in situations of acute drop in tissue oxygenation. Tissue oxygenation is adequate when tissue oxygen demand is met. When DO2 is severely compromised, a critical DO2 value is reached below which VO2 falls and becomes dependent on DO2, resulting in tissue hypoxia. The different mechanisms of tissue hypoxia are circulatory, anaemic, and hypoxic, characterised by a diminished DO2 but preserved capacity of increasing ERO2. Cytopathic hypoxia is another mechanism of tissue hypoxia that is due to impairment in mitochondrial respiration that can be observed in septic conditions with normal overall DO2. Sepsis induces microcirculatory alterations with decreased functional capillary density, increased number of stopped-flow capillaries, and marked heterogeneity between the areas with large intercapillary distance, resulting in impairment of the tissue to extract oxygen and to satisfy the increased tissue oxygen demand, leading to the development of tissue hypoxia. Different therapeutic approaches exist to increase DO2 and improve microcirculation, such as fluid therapy, transfusion, vasopressors, inotropes, and vasodilators. However, the effects of these agents on microcirculation are quite variable.
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Affiliation(s)
- Jihad Mallat
- Critical Care Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates; Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA; Normandy University, UNICAEN, ED 497, Caen, France.
| | - Nadeem Rahman
- Critical Care Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Fadi Hamed
- Critical Care Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Glenn Hernandez
- Departamento de Medicina Intensiva, Facultad de Medicina, Pontifcia Universidad Católica de Chile, Santiago, Chile
| | - Marc-Olivier Fischer
- Department of Anaesthesiology-Resuscitation and Perioperative Medicine, Normandy University, UNICAEN, Caen University Hospital, Normandy, Caen, France
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McMahon TJ, Darrow CC, Hoehn BA, Zhu H. Generation and Export of Red Blood Cell ATP in Health and Disease. Front Physiol 2021; 12:754638. [PMID: 34803737 PMCID: PMC8602689 DOI: 10.3389/fphys.2021.754638] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 10/05/2021] [Indexed: 12/16/2022] Open
Abstract
Metabolic homeostasis in animals depends critically on evolved mechanisms by which red blood cell (RBC) hemoglobin (Hb) senses oxygen (O2) need and responds accordingly. The entwined regulation of ATP production and antioxidant systems within the RBC also exploits Hb-based O2-sensitivity to respond to various physiologic and pathophysiologic stresses. O2 offloading, for example, promotes glycolysis in order to generate both 2,3-DPG (a negative allosteric effector of Hb O2 binding) and ATP. Alternatively, generation of the nicotinamide adenine dinucleotide phosphate (NADPH) critical for reducing systems is favored under the oxidizing conditions of O2 abundance. Dynamic control of ATP not only ensures the functional activity of ion pumps and cellular flexibility, but also contributes to the availability of vasoregulatory ATP that can be exported when necessary, for example in hypoxia or upon RBC deformation in microvessels. RBC ATP export in response to hypoxia or deformation dilates blood vessels in order to promote efficient O2 delivery. The ability of RBCs to adapt to the metabolic environment via differential control of these metabolites is impaired in the face of enzymopathies [pyruvate kinase deficiency; glucose-6-phosphate dehydrogenase (G6PD) deficiency], blood banking, diabetes mellitus, COVID-19 or sepsis, and sickle cell disease. The emerging availability of therapies capable of augmenting RBC ATP, including newly established uses of allosteric effectors and metabolite-specific additive solutions for RBC transfusates, raises the prospect of clinical interventions to optimize or correct RBC function via these metabolite delivery mechanisms.
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Affiliation(s)
- Timothy J McMahon
- Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Durham VA and Duke University Medical Centers, Durham, NC, United States
| | - Cole C Darrow
- Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Durham VA and Duke University Medical Centers, Durham, NC, United States
| | - Brooke A Hoehn
- Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Durham VA and Duke University Medical Centers, Durham, NC, United States
| | - Hongmei Zhu
- Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Durham VA and Duke University Medical Centers, Durham, NC, United States
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Affiliation(s)
- Jean-Louis Vincent
- Department of Intensive Care, Erasme Hospital, Université libre de Bruxelles, Brussels, Belgium
| | - Alexandre Joosten
- Department of Anesthesiology, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium
- Department of Anesthesiology and Intensive Care, Hôpitaux Universitaires Paris-Sud, Université Paris-Sud, Université Paris-Saclay, Paul Brousse Hospital, Assistance Publique Hôpitaux de Paris (APHP), Villejuif, France
| | - Bernd Saugel
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Flaatten H, deLange D, Jung C, Beil M, Guidet B. The impact of end-of-life care on ICU outcome. Intensive Care Med 2021; 47:624-625. [PMID: 33604761 DOI: 10.1007/s00134-021-06365-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 01/29/2021] [Indexed: 11/27/2022]
Affiliation(s)
- Hans Flaatten
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.
- Department of Anaesthesia and Intensive Care, Haukeland University Hospital, Bergen, Norway.
| | - Dylan deLange
- Department of Intensive Care Medicine, University Medical Center, University Utrecht, Utrecht, The Netherlands
| | - Christian Jung
- Division of Cardiology, Pulmonology and Vascular Medicine, University Hospital Düsseldorf, Heinrich-Heine- University, Düsseldorf, Germany
| | - Michael Beil
- Intensive Care, Hadassah University Hospital, Jerusalem, Israel
| | - Bertrand Guidet
- Institut Pierre Louis d'Epidémiologie et de Santé Publique, Saint Antoine Hospital, AP-HP, Hôpital Saint-Antoine, Sorbonne Université, INSERM, Service de réanimation, 75012, Paris, France
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Affiliation(s)
- Jean-Louis Vincent
- Department of Intensive Care, Erasme Hospital, Université libre de Bruxelles, 1070, Brussels, Belgium
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Juffermans NP, Aubron C, Duranteau J, Vlaar APJ, Kor DJ, Muszynski JA, Spinella PC, Vincent JL. Transfusion in the mechanically ventilated patient. Intensive Care Med 2020; 46:2450-2457. [PMID: 33180167 PMCID: PMC7658306 DOI: 10.1007/s00134-020-06303-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 10/16/2020] [Indexed: 12/20/2022]
Abstract
Red blood cell transfusions are a frequent intervention in critically ill patients, including in those who are receiving mechanical ventilation. Both these interventions can impact negatively on lung function with risks of transfusion-related acute lung injury (TRALI) and other forms of acute respiratory distress syndrome (ARDS). The interactions between transfusion, mechanical ventilation, TRALI and ARDS are complex and other patient-related (e.g., presence of sepsis or shock, disease severity, and hypervolemia) or blood product-related (e.g., presence of antibodies or biologically active mediators) factors also play a role. We propose several strategies targeted at these factors that may help limit the risks of associated lung injury in critically ill patients being considered for transfusion.
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Affiliation(s)
- Nicole P Juffermans
- Laboratory of Experimental Intensive Care and Anaesthesiology, Amsterdam University Medical Centre, Location Academic Medical Centre, Amsterdam, The Netherlands
- Department of Intensive Care, OLVG Hospital, Amsterdam, The Netherlands
| | - Cécile Aubron
- Medical Intensive Care, Brest University Hospital, Université de Bretagne Occidentale, Brest, France
| | - Jacques Duranteau
- Department of Anesthesiology and Critical Care, Bicêtre, Hôpitaux Universitaires Paris Saclay, Université Paris Saclay, AP-HP, Le Kremlin Bicêtre, France
| | - Alexander P J Vlaar
- Laboratory of Experimental Intensive Care and Anaesthesiology, Amsterdam University Medical Centre, Location Academic Medical Centre, Amsterdam, The Netherlands
- Department of Intensive Care, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands
| | - Daryl J Kor
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN, USA
| | - Jennifer A Muszynski
- Department of Pediatrics, Division of Critical Care Medicine, Nationwide Children's Hospital and the Ohio State University College of Medicine, Columbus, OH, USA
| | - Philip C Spinella
- Department of Pediatrics, Division of Critical Care Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Jean-Louis Vincent
- Department of Intensive Care, Erasme University Hospital, Université Libre de Bruxelles, Route de Lennik 808, 1070, Brussels, Belgium.
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Oxygen Delivery and Utilization: A Mathematical Artifact or a Target for Personalized Medicine? Crit Care Med 2020; 48:271-272. [PMID: 31939805 DOI: 10.1097/ccm.0000000000004151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Fogagnolo A, Taccone FS, Vincent JL, Benetto G, Cavalcante E, Marangoni E, Ragazzi R, Creteur J, Volta CA, Spadaro S. Using arterial-venous oxygen difference to guide red blood cell transfusion strategy. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2020; 24:160. [PMID: 32312299 PMCID: PMC7171832 DOI: 10.1186/s13054-020-2827-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2019] [Accepted: 03/06/2020] [Indexed: 01/28/2023]
Abstract
Background Guidelines recommend a restrictive red blood cell transfusion strategy based on hemoglobin (Hb) concentrations in critically ill patients. We hypothesized that the arterial-venous oxygen difference (A-V O2diff), a surrogate for the oxygen delivery to consumption ratio, could provide a more personalized approach to identify patients who may benefit from transfusion. Methods A prospective observational study including 177 non-bleeding adult patients with a Hb concentration of 7.0–10.0 g/dL within 72 h after ICU admission. The A-V O2diff, central venous oxygen saturation (ScvO2), and oxygen extraction ratio (O2ER) were noted when a patient’s Hb was first within this range. Transfusion decisions were made by the treating physician according to institutional policy. We used the median A-V O2diff value in the study cohort (3.7 mL) to classify the transfusion strategy in each patient as “appropriate” (patient transfused when the A-V O2diff > 3.7 mL or not transfused when the A-V O2diff ≤ 3.7 mL) or “inappropriate” (patient transfused when the A-V O2diff ≤ 3.7 mL or not transfused when the A-V O2diff > 3.7 mL). The primary outcome was 90-day mortality. Results Patients managed with an “appropriate” strategy had lower mortality rates (23/96 [24%] vs. 36/81 [44%]; p = 0.004), and an “appropriate” strategy was independently associated with reduced mortality (hazard ratio [HR] 0.51 [95% CI 0.30–0.89], p = 0.01). There was a trend to less acute kidney injury with the “appropriate” than with the “inappropriate” strategy (13% vs. 26%, p = 0.06), and the Sequential Organ Failure Assessment (SOFA) score decreased more rapidly (p = 0.01). The A-V O2diff, but not the ScvO2, predicted 90-day mortality in transfused (AUROC = 0.656) and non-transfused (AUROC = 0.630) patients with moderate accuracy. Using the ROC curve analysis, the best A-V O2diff cutoffs for predicting mortality were 3.6 mL in transfused and 3.5 mL in non-transfused patients. Conclusions In anemic, non-bleeding critically ill patients, transfusion may be associated with lower 90-day mortality and morbidity in patients with higher A-V O2diff. Trial registration ClinicalTrials.gov, NCT03767127. Retrospectively registered on 6 December 2018.
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Affiliation(s)
- Alberto Fogagnolo
- Department of Morphology, Surgery and Experimental Medicine, Section of Anaesthesia and Intensive Care, Azienda Ospedaliera-Universitaria Sant' Anna, University of Ferrara, 8, Aldo Moro, 44121, Ferrara, Italy
| | - Fabio Silvio Taccone
- Department of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Jean Louis Vincent
- Department of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Giulia Benetto
- Department of Morphology, Surgery and Experimental Medicine, Section of Anaesthesia and Intensive Care, Azienda Ospedaliera-Universitaria Sant' Anna, University of Ferrara, 8, Aldo Moro, 44121, Ferrara, Italy
| | - Elaine Cavalcante
- Department of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Elisabetta Marangoni
- Department of Morphology, Surgery and Experimental Medicine, Section of Anaesthesia and Intensive Care, Azienda Ospedaliera-Universitaria Sant' Anna, University of Ferrara, 8, Aldo Moro, 44121, Ferrara, Italy
| | - Riccardo Ragazzi
- Department of Morphology, Surgery and Experimental Medicine, Section of Anaesthesia and Intensive Care, Azienda Ospedaliera-Universitaria Sant' Anna, University of Ferrara, 8, Aldo Moro, 44121, Ferrara, Italy
| | - Jacques Creteur
- Department of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Carlo Alberto Volta
- Department of Morphology, Surgery and Experimental Medicine, Section of Anaesthesia and Intensive Care, Azienda Ospedaliera-Universitaria Sant' Anna, University of Ferrara, 8, Aldo Moro, 44121, Ferrara, Italy
| | - Savino Spadaro
- Department of Morphology, Surgery and Experimental Medicine, Section of Anaesthesia and Intensive Care, Azienda Ospedaliera-Universitaria Sant' Anna, University of Ferrara, 8, Aldo Moro, 44121, Ferrara, Italy.
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