The Relation of Calculated Plasma Volume Status to Sublingual Microcirculatory Blood Flow and Organ Injury.

BACKGROUND: The calculated plasma volume status (cPVS) was validated as a surrogate of intravascular filling. The aim of this study is to assess the cPVS in relation to sublingual perfusion and organ injury. METHODS: Pre- and postoperative cPVS were obtained by determining the actual and ideal plasma volume levels in surgical patients. The sublingual microcirculation was assessed using SDF imaging, and we determined the De Backer score, the Consensus Proportion of Perfused Vessels (Consensus PPV), and the Consensus PPV (small). Our primary outcome was the assessment of the distribution of cPVS and its association with intraoperative sublingual microcirculation and postoperative complications. RESULTS: The median pre- and postoperative cPVS were -7.25% (IQR -14.29--1.88) and -0.4% (IQR -5.43-6.06), respectively (p < 0.001). The mean intraoperative administered fluid volume was 2.5 ± 2.5 L (1.14 L h-1). No statistically significant correlation was observed between the pre- or postoperative cPVS and sublingual microcirculation variables. Higher preoperative (OR = 1.04, p = 0.098) and postoperative cPVS (OR = 1.057, p = 0.029) were associated with postoperative organ injury and complications (sepsis (30%), anemia (24%), respiratory failure (13%), acute kidney injury (6%), hypotension (6%), stroke (3%)). CONCLUSIONS: The calculated PVS was associated with an increased risk of organ injury and complications in this cohort.

Association between mean arterial pressure and sublingual microcirculation during major non-cardiac surgery: Post hoc analysis of a prospective cohort.

OBJECTIVE: To test the hypothesis that there is an association between mean arterial pressure (MAP) and sublingual perfusion during major surgery, and perhaps an identifiable harm threshold. METHODS: This post hoc analysis of a prospective cohort included patients who had elective major non-cardiac surgery with a duration of ≥2 h under general anesthesia. We assessed sublingual microcirculation every 30 min using SDF+ imaging and determined the De Backer score, Consensus Proportion of Perfused Vessels (Consensus PPV), and the Consensus PPV (small). Our primary outcome was the relationship between MAP and sublingual perfusion which was evaluated with linear mixed effects modeling. RESULTS: A total of 100 patients were included, with MAP ranging between 65 mmHg and 120 mmHg during anesthesia and surgery. Over a range of intraoperative MAPs between 65 and 120 mmHg, there were no meaningful associations between blood pressure and various measures of sublingual perfusion. There were also no meaningful changes in microcirculatory flow over 4.5 h of surgery. CONCLUSIONS: In patients having elective major non-cardiac surgery with general anesthesia, sublingual microcirculation is well maintained when MAP ranges between 65 and 120 mmHg. It remains possible that sublingual perfusion will be a useful marker of tissue perfusion when MAP is lower than 65 mmHg.

Remdesivir-induced Bradycardia is not Associated with Worse Outcome in Patients with COVID-19: A Retrospective Analysis.

BACKGROUND: COVID-19, is primarily a respiratory illness but is known to cause extrapulmonary manifestations, especially on the cardiovascular system. Bradycardia is commonly reported in COVID-19 patients despite no prior history of occurrence, and many studies have shown an association with increased mortality. Multiple case reports have been published showcasing remdesivir potentially causing bradycardia. Our aim was to investigate the incidence of bradycardia in patients receiving remdesivir and examine the association with disease severity and survival outcomes. METHODS: A retrospective study was performed including 160 COVID-19 patients receiving remdesivir for 5 days. Patients' demographics, comorbidities, medication, vital signs, laboratory tests and outcome were recorded. Bradycardia was defined as a heart rate < 60 beats/min and severe bradycardia < 50 beats/min. RESULTS: One hundred eighteen (73.8%) patients experienced at least one episode of bradycardia during hospitalisation. Bradycardia was present in 12 (7.5%) patients before treatment with remdesivir. The rate of bradycardia increased up to the 6th day of hospitalisation (40.6%) and subsequently diminished and normalised within 5 days after the last remdesivir dose (5% at Day 10). Severe bradycardia was observed in 13 (7.5%) patients. No difference was observed in ICU admission between groups (bradycardia vs no bradycardia). When we stratified patients according to the outcome of hospitalisation, no significant difference was observed in the occurrence of bradycardia between groups (alive vs dead) [p = 0.853]. CONCLUSIONS: Treatment with remdesivir may be associated with new-onset bradycardia in hospitalised patients with COVID-19. However, bradycardia is transient and is not associated with ICU admission and mortality.

Microcirculation-guided treatment improves tissue perfusion and hemodynamic coherence in surgical patients with septic shock.

PURPOSE: Severe sepsis and septic shock may impair microcirculatory perfusion and cause organ dysfunction. The aim of this pilot study was to assess a new microcirculation-guided resuscitation strategy in patients with septic shock undergoing emergency abdominal surgery. METHODS: A microcirculation-guided treatment algorithm was developed and applied intraoperatively following restoration of systemic hemodynamics. Sublingual microcirculation was monitored with Sidestream DarkField (SDF +) imaging technique. The primary objective was to investigate the change in De Backer score, Consensus Proportion of Perfused Vessels (Consensus PPV), and Consensus PPV (small) and its association with venous-to-arterial carbon dioxide difference (v-aPCO2). RESULTS: Thirteen consecutive patients were included in the study. Microcirculation-guided resuscitation resulted in an increase of 0.49 mm-1 in the De Backer score (p < 0.001), an increase of 2.28% in the Consensus PPV (p < 0.001), and an increase of 2.26% in the Consensus PPV (small) (p < 0.001) for every 30 min of additional intraoperative time. All microcirculation variables were negatively correlated with v-aPCO2 (rho = - 0.656, adj-p < 0.001; rho = - 0.623; adj-p < 0.001; rho = - 0.597, adj-p < 0.001, respectively) at each intraoperative time point. Lactate levels were negatively correlated with Consensus PPV (rho = - 0.464; adj-p = 0.002) and Consensus PPV (small) (rho = - 0.391, adj-p < 0.001). Survival at 30 days, 90 days, and 1 year were 76.9%, 76.9%, and 61.5%, respectively. CONCLUSIONS: The intraoperative use of microcirculation-guided resuscitation strategy may improve tissue perfusion and hemodynamic coherence in patients with septic shock.

Circulating suPAR associates with severity and in-hospital progression of COVID-19.

BACKGROUND: COVID-19 disease progression is characterized by hyperinflammation and risk stratification may aid in early aggressive treatment and advanced planning. The aim of this study was to assess whether suPAR and other markers measured at hospital admission can predict the severity of COVID-19. METHODS: The primary outcome measure in this international, multi-centre, prospective, observational study with adult patients hospitalized primarily for COVID-19 was the association of WHO Clinical Progression Scale (WHO-CPS) with suPAR, ferritin, CRP, albumin, LDH, eGFR, age, procalcitonin, and interleukin-6. Admission plasma suPAR levels were determined using the suPARnostic® ELISA and suPARnostic® Turbilatex assays. RESULTS: Seven hundred and sixty-seven patients, 440 (57.4%) males and 327 (42.6%) females, were included with a median age of 64 years. Log-suPAR levels significantly correlated with WHO-CPS score, with each doubling of suPAR increasing the score by one point (p < .001). All the other markers were also correlated with WHO-CPS score. Admission suPAR levels were significantly lower in survivors (7.10 vs. 9.63, 95% CI 1.47-3.59, p < .001). A linear model (SALGA) including suPAR, serum albumin, serum lactate dehydrogenase, eGFR, and age can best estimate the WHO-CPS score and survival. Combining all five parameters in the SALGA model can improve the accuracy of discrimination with an AUC of 0.80 (95% CI: 0.759-0.836). CONCLUSIONS: suPAR levels significantly correlated with WHO-CPS score, with each doubling of suPAR increasing the score by one point. The SALGA model may serve as a quick tool for predicting disease severity and survival at admission.