Strong ion difference in urine: new perspectives in acid-base assessment

The plasmatic strong ion difference (SID) is the difference between positively and negatively charged strong ions. At pH 7.4, temperature 37°C and partial carbon dioxide tension 40 mmHg, the ideal value of SID is 42 mEq/l. The buffer base is the sum of negatively charged weak acids ([HCO(3)(-)], [A(-)], [H(2)PO(4)(-)]) and its normal value is 42 mEq/l. According to the law of electroneutrality, the amount of positive and negative charges must be equal, and therefore the SID value is equal to the buffer base value. The easiest assessment of metabolic acidosis/alkalosis relies on the base excess calculation: buffer base(actual )- buffer base(ideal )= SID(actual )- SID(ideal). The SID approach allows one to appreciate the relationship between acid–base and electrolyte equilibrium from a unique perspective, and here we describe a comprehensive model of this equilibrium. The extracellular volume is characterized by a given SID, which is a function of baseline conditions, endogenous and exogenous input (endogenous production and infusion), and urinary output. Of note, volume modifications vary the concentration of charges in the solution. An expansion of extracellular volume leads to acidosis (SID decreases), whereas a contraction of extracellular volume leads to alkalosis (SID increases). A thorough understanding of acid–base equilibrium mandates recognition of the importance of urinary SID

Enteral versus intravenous approach for the sedation of critically ill patients: a randomized and controlled trial

Background. ICU patients must be kept conscious, calm, and cooperative even during the critical phases of illness. Enteral administration of sedative drugs might avoid oversedation, and would be as adequate as intravenous for awake patients, with fewer side effects and lower costs. This study compares two sedation strategies, in order to early reach and maintain the light sedation target. Methods. Multicenter, single-blind randomized and controlled trial carried out in 12 Italian ICUs, involving patients with expected mechanical ventilation duration >72 hours at ICU admission and predicted mortality >12% (Simplified Acute Physiology Score II >32 points) during the first 24 ICU hours. Patients were randomly assigned to receive intravenous (midazolam, propofol) or enteral (hydroxyzine, lorazepam, and melatonin) sedation. Primary outcome: percentage of work shifts with an observed Richmond Agitation-Sedation Scale (RASS) = target RASS \ub1 1. Secondary outcomes: protocol feasibility, delirium- and coma-free days, costs of drugs, length of ICU and hospital stay, ICU, hospital, and one-year mortality. Results. 348 patients were enrolled. There were no differences in the primary outcome: enteral 89.8 [74.1-100], intravenous 94.4 [78-100]%, p=0.20. Enteral-treated patients had more protocol violations: 81 (46.6%) vs 7 (4.2%), p<0.01, more self-extubations: 4 (2.4%) vs 14 (8.1%), p=0.03, a lighter sedative target (RASS = 0): 93 [71-100] vs 83 [61-100]%, p<0.01, and lower total costs for drugs: 2.39 [0.75- 9.78] vs 4.15 [1.20 -20.19] \u20ac/day with mechanical ventilation (p=0.01). Conclusions. Although enteral sedation of critically ill patients is cheaper and permits a lighter sedation target, it is not superior to intravenous sedation for reaching the RASS target. Trial registration. ClinicalTrials.gov, Clinical Trial #NCT01360346, registered 25 March 2011, https://clinicaltrials.gov/ct2/show/NCT01360346. Registered on 25 March 2011

A mathematical model of oxygenation during venovenous extracorporeal membrane oxygenation support

Purpose To develop a mathematical model of oxygenation during venovenous extracorporeal membrane oxygenation (vv-ECMO). Material and methods Total oxygen consumption, cardiac output, blood flow, recirculation, intrapulmonary shunt, hemoglobin, natural lung, and membrane lung oxygen fractions were chosen as inputs. Content, partial pressure, and hemoglobin saturation of oxygen in arterial, venous, pulmonary, and extracorporeal blood were outputs. To assess accuracy and predictive power of the model, we retrospectively analyzed data of 25 vv-ECMO patients. We compiled 2 software (with numerical, 2D and 3D graphical outputs) to study the impact of each variable on oxygenation. Results The model showed high accuracy and predictive power. Raising blood flow and oxygen fraction to the membrane lung or reducing total oxygen consumption improves arterial and venous oxygenation, especially in severe cases; raising oxygen fraction to the natural lung improves oxygenation only in milder cases; raising hemoglobin always improves oxygenation, especially in the venous district; recirculation fraction severely impairs oxygenation. In severely ill patients, increasing cardiac output worsens arterial oxygenation but enhances venous oxygenation. Oxygen saturation of ECMO inlet is critical to evaluate the appropriateness of oxygen delivery. Conclusions The model with the software can be a useful teaching tool and a valuable decision-making aid for the management of hypoxic patients supported by vv-ECMO