Determining sex-specific preoperative haemoglobin levels associated with intraoperative red blood cell transfusion in cardiac surgery: a retrospective cohort study.

BACKGROUND: Anaemic cardiac surgery patients are at greater risk of intraoperative red blood cell transfusion. This study questions the application of the World Health Organization population-based anaemia thresholds (haemoglobin <120 g L-1 in non-pregnant females and <130 g L-1 in males) as appropriate preoperative optimisation targets for cardiac surgery. METHODS: A retrospective cohort study was conducted on adults ≥18 yr old undergoing cardiopulmonary bypass surgery. Logistic regression was applied to define sex-specific preoperative haemoglobin concentrations with reduced probability of intraoperative red blood cell transfusion for cardiac surgery patients. RESULTS: Data on 4384 male and 1676 female patients were analysed. Binarily stratified multivariable logistic regression odds of receiving intraoperative red blood cell transfusion increased in cardiac surgery patients >45 yr old (odds ratio [OR] 1.84; 95% confidence interval [CI] 1.33-2.55), surgery urgency <30 days (OR 2.03; 95% CI 1.66-2.48), combined coronary artery bypass grafting and valve surgery, or other surgery types (OR 2.24; 95% CI 1.87-2.67), and female sex (OR 1.92; 95% CI 1.62-2.28). The odds decreased by 8.4% with each 1 g L-1 increase in preoperative haemoglobin (OR 0.92; 95% CI 0.91-0.92). Logistic regression predicted females required a preoperative haemoglobin concentration of 133 g L-1 and males 127 g L-1 to have a 15% probability of intraoperative transfusion. CONCLUSIONS: The World Health Organization female anaemia threshold of haemoglobin <120 g L-1 disproportionately disadvantages female cardiac surgery patients. A preoperative haemoglobin concentration ≥130 g L-1 in adult cardiac surgery patients would minimise their overall probability of intraoperative red blood cell transfusion to <15%.

Single-FiO2 lung modelling with machine learning: a computer simulation incorporating volumetric capnography.

We investigated whether machine learning (ML) analysis of ICU monitoring data incorporating volumetric capnography measurements of mean alveolar PCO2 can partition venous admixture (VenAd) into its shunt and low V/Q components without manipulating the inspired oxygen fraction (FiO2). From a 21-compartment ventilation / perfusion (V/Q) model of pulmonary blood flow we generated blood gas and mean alveolar PCO2 data in simulated scenarios with shunt values from 7.3% to 36.5% and a range of FiO2 settings, indirect calorimetry and cardiac output measurements and acid- base and hemoglobin oxygen affinity conditions. A 'deep learning' ML application, trained and validated solely on single FiO2 bedside monitoring data from 14,736 scenarios, then recovered shunt values in 500 test scenarios with true shunt values 'held back'. ML shunt estimates versus true values (n = 500) produced a linear regression model with slope = 0.987, intercept = -0.001 and R2 = 0.999. Kernel density estimate and error plots confirmed close agreement. With corresponding VenAd values calculated from the same bedside data, low V/Q flow can be reported as VenAd-shunt. ML analysis of blood gas, indirect calorimetry, volumetric capnography and cardiac output measurements can quantify pulmonary oxygenation deficits as percentage shunt flow (V/Q = 0) versus percentage low V/Q flow (V/Q > 0). High fidelity reports are possible from analysis of data collected solely at the operating FiO2.

Pulmonary gas exchange evaluated by machine learning: a computer simulation.

Using computer simulation we investigated whether machine learning (ML) analysis of selected ICU monitoring data can quantify pulmonary gas exchange in multi-compartment format. A 21 compartment ventilation/perfusion (V/Q) model of pulmonary blood flow processed 34,551 combinations of cardiac output, hemoglobin concentration, standard P50, base excess, VO2 and VCO2 plus three model-defining parameters: shunt, log SD and mean V/Q. From these inputs the model produced paired arterial blood gases, first with the inspired O2 fraction (FiO2) adjusted to arterial saturation (SaO2) = 0.90, and second with FiO2 increased by 0.1. 'Stacked regressor' ML ensembles were trained/validated on 90% of this dataset. The remainder with shunt, log SD, and mean 'held back' formed the test-set. 'Two-Point' ML estimates of shunt, log SD and mean utilized data from both FiO2 settings. 'Single-Point' estimates used only data from SaO2 = 0.90. From 3454 test gas exchange scenarios, two-point shunt, log SD and mean estimates produced linear regression models versus true values with slopes ~ 1.00, intercepts ~ 0.00 and R2 ~ 1.00. Kernel density and Bland-Altman plots confirmed close agreement. Single-point estimates were less accurate: R2 = 0.77-0.89, slope = 0.991-0.993, intercept = 0.009-0.334. ML applications using blood gas, indirect calorimetry, and cardiac output data can quantify pulmonary gas exchange in terms describing a 20 compartment V/Q model of pulmonary blood flow. High fidelity reports require data from two FiO2 settings.

Hyperlactatemia in diabetic ketoacidosis is common and can be prolonged: lactate time-series from 25 intensive care admissions.

Hyperlactatemia is a documented complication of diabetic ketoacidosis (DKA). Lactate responses during DKA treatment have not been studied and were the focus of this investigation. Blood gas and electrolyte data from 25 DKA admissions to ICU were sequenced over 24 h from the first Emergency Department sample. Hyperlactatemia (> 2 mmol/L) was present in 22 of 25 DKA presentations [mean concentration = 3.2 mmol/L]. In 18 time-series (72%), all concentrations normalized in ≤ 2.6 h (aggregate decay t1/2 = 2.29 h). In the remaining 7 (28%), hyperlactatemia persisted > 12 h. These were females (P = 0.04) with relative anemia (hemoglobin concentrations 131 v 155 g/L; P = 0.004) and lower nadir glucose concentrations (5.2 v 8.0 mmol/L, P = 0.003). Their aggregate glucose decay curve commenced higher (42 mmol/L v 29 mmol/L), descending towards a lower asymptote (8 mmol/L v 11 mmol/L). Tonicity decay showed similar disparities. There was equivalent resolution of metabolic acidosis and similar lengths of stay in both groups. Hyperlactatemia is common in DKA. Resolution is often rapid, but high lactates can persist. Females with high glucose concentrations corrected aggressively are more at risk. Limiting initial hyperglycemia correction to ≥ 11 mmol/L may benefit.

Relationship between coronary microvascular dysfunction and left ventricular diastolic function in patients with chest pain and unobstructed coronary arteries.

BACKGROUD: Diastolic dysfunction (DD) is reported to affect up to 35% of the adult general population. The consequence of progressive DD is heart failure with preserved ejection fraction (HFpEF). Coronary microvascular dysfunction (CMD) has been suggested as one of the pathologic mechanisms leading to HFpEF. We investigated whether there was an association between coronary microvascular function and echocardiographic indices of left ventricular diastolic function at rest in patients with chest pain and unobstructed coronary arteries (CPUCA). METHODS: This retrospective observational study recruited patients referred to cardiology clinics assessment of chest pain who subsequently underwent assessment via CT coronary angiogram (CTA). Coronary microvascular dysfunction was determined by myocardial blood flow reserve (MBFR; <2.0) using myocardial contrast echocardiography. Echocardiographic indices of diastolic function (septal mitral annular e'; septal mitral annular E/e', E/A ratio) were measured from baseline transthoracic echocardiogram. RESULTS: 149 patients (52% men) with a mean age 59.7(9.5) years were recruited. Mean (standard deviation) MBFR was 2.2 (0.51). 37% (55/149) had MBFR < 2.0. Median [interquartile range] septal mitral annular e' velocity and septal mitral annular E/e' were 7.6 cm/s [6.2, 8.9] and 9.5 [7.5, 10.8], respectively. Univariate regression analysis showed only age was a significant predictor of increasing septal mitral annular E/e' (ß = +0.20 95% CI 0.13, +0.28, P < .001) but not MBFR. Multivariable analysis also showed no association between these septal mitral annular E/e' and MBFR after adjustment for cardiovascular risk factors. CONCLUSION: There was no relationship found between echocardiographic indices of left ventricular diastolic function and coronary microvascular function at rest.

Rapid haemodilution accelerates hypertonicity resolution in diabetic ketoacidosis: data from 25 intensive care admissions.

BACKGROUND: Clinically apparent cerebral oedema during diabetic ketoacidosis (DKA) is rare and more common in children and young adults. Subclinical oedema with mild brain dysfunction is more frequent, with unknown long term effects. Rapid tonicity changes may be a factor although not well studied. Guidelines recommend capping hypertonicity resolution at ≤ 3 mOsmol/kg/h. OBJECTIVES: To audit current DKA management in the emergency department (ED) and in the intensive care unit (ICU) for tonicity benchmark compliance, and to determine interactions between plasma tonicity, plasma glucose concentrations and blood haemoglobin concentrations. METHODS: Twenty-five adult DKA admissions from ED to ICU were studied retrospectively. Blood gas and electrolyte data were sequenced for 24 hours from first ED blood sample. RESULTS: Sampling was frequent (median, 11 times per day; range, 6-26). Tonicity reduction was largely accomplished by the first ICU blood sample and exceeded 3 mOsmol/ kg/h in 72% of admissions. Correlation with haemoglobin reduction (haemodilution) rates exceeded correlation with glucose rates (R2 = 0.52 v 0.38). In benchmark noncompliant admissions, haemodilution was more rapid (6.1 g/L/h v 2.1 g/L/h; P = 0.001). Although also true of glucose reduction (4.5 mmol/L/h v 2.2 mmol/L/h; P = 0.007), there was no interaction between haemodilution and glucose reduction (R2 = 0.09). CONCLUSIONS: Major tonicity reductions often exceeding guidelines were common by ICU admission. Correcting DKA-induced hypertonicity at ≤ 3 mOsmol/kg/h requires controlled hyperglycaemia correction and, based on our data, avoidance of high fluid replacement rates; for example, sufficient to reduce haemoglobin concentrations by > 3 g/L/h, unless there is evidence of intravascular hypovolaemia.

Unintended Consequences: Fluid Resuscitation Worsens Shock in an Ovine Model of Endotoxemia.

RATIONALE: Fluid resuscitation is widely considered a life-saving intervention in septic shock; however, recent evidence has brought both its safety and efficacy in sepsis into question. OBJECTIVES: In this study, we sought to compare fluid resuscitation with vasopressors with the use of vasopressors alone in a hyperdynamic model of ovine endotoxemia. METHODS: Endotoxemic shock was induced in 16 sheep, after which they received fluid resuscitation with 40 ml/kg of 0.9% saline or commenced hemodynamic support with protocolized noradrenaline and vasopressin. Microdialysis catheters were inserted into the arterial circulation, heart, brain, kidney, and liver to monitor local metabolism. Blood samples were recovered to measure serum inflammatory cytokines, creatinine, troponin, atrial natriuretic peptide, brain natriuretic peptide, and hyaluronan. All animals were monitored and supported for 12 hours after fluid resuscitation. MEASUREMENTS AND MAIN RESULTS: After resuscitation, animals that received fluid resuscitation required significantly more noradrenaline to maintain the same mean arterial pressure in the subsequent 12 hours (68.9 mg vs. 39.6 mg; P = 0.04). Serum cytokines were similar between groups. Atrial natriuretic peptide increased significantly after fluid resuscitation compared with that observed in animals managed without fluid resuscitation (335 ng/ml [256-382] vs. 233 ng/ml [144-292]; P = 0.04). Cross-sectional time-series analysis showed that the rate of increase of the glycocalyx glycosaminoglycan hyaluronan was greater in the fluid-resuscitated group over the course of the study (P = 0.02). CONCLUSIONS: Fluid resuscitation resulted in a paradoxical increase in vasopressor requirement. Additionally, it did not result in improvements in any of the measured microcirculatory- or organ-specific markers measured. The increase in vasopressor requirement may have been due to endothelial/glycocalyx damage secondary to atrial natriuretic peptide-mediated glycocalyx shedding.