Effect of machine learning-guided haemodynamic optimization on postoperative free flap perfusion in reconstructive maxillofacial surgery: A study protocol.

AIMS: Intraoperative hypotension and liberal fluid haemodynamic therapy are associated with postoperative medical and surgical complications in maxillofacial free flap surgery. The novel haemodynamic parameter hypotension prediction index (HPI) has shown good performance in predicting hypotension by analysing arterial pressure waveform in various types of surgery. HPI-based haemodynamic protocols were able to reduce the duration and depth of hypotension. We will try to determine whether haemodynamic therapy based on HPI can improve postoperative flap perfusion and tissue oxygenation by improving intraoperative mean arterial pressure and reducing fluid infusion. METHODS: We present here a study protocol for a single centre, randomized, controlled trial (n = 42) in maxillofacial patients undergoing free flap surgery. Patients will be randomized into an intervention or a control group. In the intervention, group haemodynamic optimization will be guided by machine learning algorithm and functional haemodynamic parameters presented by the HemoSphere platform (Edwards Lifesciences, Irvine, CA, USA), most importantly, HPI. Tissue oxygen saturation of the free flap will be monitored noninvasively by near-infrared spectroscopy during the first 24 h postoperatively. The primary outcome will be the average value of tissue oxygen saturation in the first 24 h postoperatively.

The Effect of Intravenous Lidocaine, Ketamine, and Lidocaine-Ketamine Combination in Colorectal Cancer Surgery: A Randomized Controlled Trial.

BACKGROUND: Colorectal resections are associated with a pronounced inflammatory response, severe postoperative pain, and postoperative ileus. The aim of this study was to evaluate the main effects of lidocaine and ketamine, and their interaction in colorectal cancer (CRC) patients after open surgery. The interaction could be additive if the effect of 2 drugs given in combination equals the sum of their individual effects, or multiplicative if their combined effect exceeds the sum of their individual effects. We hypothesized that the combination of lidocaine and ketamine might reduce the inflammatory response additively or synergistically. METHODS: Eighty-two patients undergoing elective open colorectal resection were randomized to receive either lidocaine or placebo and either ketamine or placebo in a 2 × 2 factorial design. After induction of general anesthesia, all subjects received an intravenous bolus (lidocaine 1.5 mg/kg and/or ketamine 0.5 mg/kg and/or a matched saline volume) followed by a continuous infusion (lidocaine 2 mg·kg-1·h-1 and/or ketamine 0.2 mg·kg-1·h-1 and/or a matched saline volume) until the end of surgery. Primary outcomes were serum levels of white blood cell (WBC) count, interleukins (IL-6, IL-8), and C-reactive protein (CRP) measured at 2 time points: 12 and 36 hours after surgery. Secondary outcomes included intraoperative opioid consumption; visual analog scale (VAS) pain scores at 2, 4, 12, 24, 36, and 48 hours postoperatively; cumulative analgesic consumption within 48 hours after surgery; and time to first bowel movement. We assessed the main effects of each of lidocaine and ketamine and their interaction on the primary outcomes using linear regression analyses. A Bonferroni-adjusted significance level was set at .05/8 = .00625 for primary analyses. RESULTS: No statistically significant differences were observed with either lidocaine or ketamine intervention in any of the measured inflammatory markers. No multiplicative interaction between the 2 treatments was confirmed at 12 or 36 hours after surgery: WBC count, P = .870 and P = .393, respectively; IL-6, P = .892 and P = .343, respectively; IL-8, P = .999 and P = .996, respectively; and CRP, P = .014 and P = .445, respectively. With regard to inflammatory parameters, no evidence of additive interactions was found. Lidocaine and ketamine, either together or alone, significantly reduced intraoperative opioid consumption versus placebo, and, except for lidocaine alone, improved pain scores. Neither intervention significantly influenced gut motility. CONCLUSIONS: Our study results do not support the use of an intraoperative combination of lidocaine and ketamine in patients undergoing open surgery for CRC.

Distribution of Pathogens and Predictive Values of Biomarkers of Inflammatory Response at ICU Admission on Outcomes of Critically Ill COVID-19 Patients with Bacterial Superinfections-Observations from National COVID-19 Hospital in Croatia.

BACKGROUND: Superinfections contribute to mortality and length of stay in critically ill COVID-19 patients. The aim of this study was to determine the incidence and pathogen distribution of bacterial and fungal superinfections of the lower respiratory tract (LRTI), urinary tract (UTI) and bloodstream (BSI) and to determine the predictive value of biomarkers of inflammatory response on their ICU survival rates. METHODS: A retrospective observational study that included critically ill COVID-19 patients treated during an 11-month period in a Croatian national COVID-19 hospital was performed. Clinical and diagnostic data were analyzed according to the origin of superinfection, and multivariate regression analysis was performed to determine the predictive values of biomarkers of inflammation on their survival rates. RESULTS: 55.3% critically ill COVID-19 patients developed bacterial or fungal superinfections, and LRTI were most common, followed by BSI and UTI. Multidrug-resistant pathogens were the most common causes of LRTI and BSI, while Enterococcus faecalis was the most common pathogen causing UTI. Serum ferritin and neutrophil count were associated with decreased chances of survival in patients with LRTI, and patients with multidrug-resistant isolates had significantly higher mortality rates, coupled with longer ICU stays. CONCLUSION: The incidence of superinfections in critically ill COVID-19 patients was 55.3%, and multidrug-resistant pathogens were dominant. Elevated ferritin levels and neutrophilia at ICU admission were associated with increased ICU mortality in patients with positive LRTI.

Epidemiological characteristics, baseline clinical features, and outcomes of critically ill patients treated in a coronavirus disease 2019 tertiary center in continental Croatia.

AIM: To describe epidemiological characteristics and baseline clinical features, laboratory findings at intensive care unit (ICU) admission, and survival rates of critically ill coronavirus disease 2019 (COVID-19) patients treated at a tertiary institution specialized for COVID-19 patients. METHODS: This retrospective study recruited 692 patients (67.1% men). Baseline demographic data, major comorbidities, anthropometric measurements, clinical features, and laboratory findings at admission were compared between survivors and non-survivors. RESULTS: The median age was 72 (64-78) years. The median body mass index was 29.1 kg/m2. The most relevant comorbidities were diabetes mellitus (32.6%), arterial hypertension (71.2%), congestive heart failure (19.1%), chronic kidney disease (12.6%), and hematological disorders (10.3%). The median number of comorbidities was 3 and median Charlson Comorbidity Index (CCI) was 5. A total of 61.8% patients received high-flow nasal oxygen therapy (HFNO) and 80.5% received mechanical ventilation (MV). Median duration of HFNO was 3, and that of MV was 7 days. ICU mortality rate was 72.7%. Survivors had significantly lower age, number of comorbidities, CCI, sequential organ failure assessment score, serum ferritin, C-reactive protein, D-dimer, and procalcitonin, interleukin-6, lactate, white blood cell, and neutrophil counts. They also had higher lymphocyte counts, PaO2/FiO2 ratio, and glomerular filtration rate at admission. Length of ICU stay was 9 days. The median survival was 11 days for mechanically ventilated patients, and 24 days for patients who were not mechanically ventilated. CONCLUSION: The parameters that differentiate survivors from non-survivors are in agreement with published data. Further multivariate analyses are warranted to identify individual mortality risk factors.

Clinical and laboratory predictors at ICU admission affecting course of illness and mortality rates in a tertiary COVID-19 center.

BACKGROUND: Survival rates of critically ill COVID-19 patients are affected by various clinical features and laboratory parameters at ICU admission. Some of these predictors are universal but others may be population specific. OBJECTIVE: To determine utility of baseline clinical and laboratory parameters in a multivariate regression model to predict outcomes in critically ill COVID-19 patients in a tertiary hospital in Croatia. METHODS: 692 critically ill COVID-19 patients treated during a 10-month period were included in this retrospective observational trial to assess the risk factors determining mortality rates. Various anthropometric features, comorbidities, laboratory parameters, clinical features and therapeutic interventions were included in the analysis. ICU mortality rates and length of ICU stay were primary endpoints analyzed in this study. RESULTS: After multivariate adjustment, only the SOFA score, PaO2/FiO2 and history of arterial hypertension had an effect on ICU mortality, as well as the need to initiate invasive mechanical ventilation. Increase in PaO2/FiO2 over the first 7 days was present in survivors, while reverse applied to SOFA. Length of ICU stay was 9 (4-14) days. Factors affecting survival times were admission from wards, congestive heart failure, invasive mechanical ventilation, bacterial superinfections, age > 75 years, SOFA score, and serum ferritin, CRP and IL-6 values at ICU admission. CONCLUSION: Elevated inflammatory biomarkers and SOFA score at ICU admission were detected as significant predictors of ICU mortality in this cohort, while initiation of invasive mechanical ventilation is the most relevant interventional mortality risk factor in critically ill COVID-19 patients.