Evaluation of whole blood thiamine pyrophosphate concentrations in critically ill patients receiving chronic diuretic therapy prior to admission to Turkish intensive care units: A pragmatic, multicenter, prospective study.

BACKGROUND/OBJECTIVES: Thiamine plays a pivotal role in energy metabolism. The aim of the study was to determine serial whole blood TPP concentrations in critically ill patients receiving chronic diuretic treatment before ICU admission and to correlate TPP levels with clinically determined serum phosphorus concentrations. SUBJECTS/METHODS: This observational study was performed in 15 medical ICUs. Serial whole blood TPP concentrations were measured by HPLC at baseline and at days 2, 5 and 10 after ICU admission. RESULTS: A total of 221 participants were included. Of these, 18% demonstrated low TPP concentrations upon admission to the ICU, while 26% of participants demonstrated low levels at some point during the 10-day study period. Hypophosphatemia was detected in 30% of participants at some point during the 10-day period of observation. TPP levels were significantly and positively correlated with serum phosphorus levels at each time point (P < 0.05 for all). CONCLUSIONS: Our results show that 18% of these critically ill patients exhibited low whole blood TPP concentrations on ICU admission and 26% had low levels during the initial 10 ICU days, respectively. The modest correlation between TPP and phosphorus concentrations suggests a possible association due to a refeeding effect in ICU patients requiring chronic diuretic therapy.

The predictive value of MELDNa (model for end-stage liver disease-sodium) and mean platelet volume/platelet count for patients' 30-day mortality after liver transplantation.

Aim of the study: To investigate the disease-specific score and improve the existing scores to better determine the prognosis of patients after liver transplantation (LT). For this purpose, we evaluated the relationship of prognostic scores with 30-day mortality after LT. In addition, we planned to investigate whether the mean platelet volume/platelet count (MPR) would contribute to score improvement. Material and methods: A total of 178 adult patients admitted to the intensive care unit after LT in our hospital between 2011 and 2019 were retrospectively analyzed. Model for end-stage liver disease-sodium (MELDNa), Child-Turcotte-Pugh (CTP) score, and MPR values were compared in patients with and without 30-day mortality who underwent LT. Logistic regression analysis was performed to determine the predictive factors for mortality. A model was created with multivariate analysis. Results: Our study included 135 (75.8%) male and 43 (24.2%) female patients. There was a significant difference in the postLT-MELDNa score in the evaluation between those with and without mortality (p < 0.001). Age, postLT-MELDNa and CTP score were found to be significant in terms of the prediction of 30-day mortality in the univariate analysis (p < 0.05). mean platelet volume (MPV) and MPR were not significant in univariate analysis. Multivariate analysis revealed a model in which age and postLT-MELDNa were significant. Conclusions: In our study, postLT-MELDNa predicted 30-day mortality and was much more effective in predicting mortality when evaluated with age. The MELDNa score, which is currently used in the prognosis of candidates awaiting LT, may be useful for the prognosis of patients after LT in intensive care units.

Is serum magnesium level associated with atrial fibrillation in the mixed medical/surgical intensive care unit setting?

Background: Although low serum magnesium level is a a relatively common problem in mixed medical/surgical intensive care units (ICUs), its association with new-onset atrial fibrillation (NOAF) has been studied to a lesser extent. We aimed to investigate the effect of magnesium levels on the development of NOAF in critically ill patients admitted to the mixed medical/surgical ICU. Methods: A total of 110 eligible patients (45 female, 65 male) were included in this case-control study. The age and sex-matched control group (n = 110) included patients with no atrial fibrillation from admission to discharge or death. Results: The incidence of NOAF was 2.4% (n = 110) between January 2013 and June 2020. At NOAF onset or the matched time point, median serum magnesium levels were lower in the NOAF group than in the control group (0.84 [0.73-0.93] vs. 0.86 [0.79-0.97] mmol/L; p = 0.025). At NOAF onset or the matched time point, 24.5% (n = 27) in the NOAF group and 12.7% (n = 14) in the control group had hypomagnesemia (p = 0.037). Based on Model 1, multivariable analysis demonstrated magnesium level at NOAF onset or the matched time point (OR: 0.07; 95%CI: 0.01-0.44; p = 0.004), acute kidney injury (OR: 1.88; 95%CI: 1.03-3.40; p = 0.039), and APACHE II (OR: 1.04; 95% CI: 1.01-1.09; p = 0.046) as factors independently associated with an increased risk of NOAF. Based on Model 2, multivariable analysis demonstrated hypomagnesemia at NOAF onset or the matched time point (OR: 2.52; 95% CI: 1.19-5.36; p = 0.016) and APACHE II (OR: 1.04; 95%CI: 1.01-1.09; p = 0.043) as factors independently associated with an increased risk of NOAF. In multivariate analysis for hospital mortality, NOAF was an independent risk factor for hospital mortality (OR: 3.22; 95% CI: 1.69-6.13, p<0.001). Conclusion: The development of NOAF in critically ill patients increases mortality. Critically ill patients with hypermagnesemia should be carefully evaluated for risk of NOAF.

Clinical Outcomes and Independent Risk Factors for 90-Day Mortality in Critically Ill Patients with Respiratory Failure Infected with SARS-CoV-2: A Multicenter Study in Turkish Intensive Care Units.

BACKGROUND: There are limited data on the long-term outcomes of COVID-19 from different parts of the world. AIMS: To determine risk factors of 90-day mortality in critically ill patients in Turkish intensive care units (ICUs), with respiratory failure. STUDY DESIGN: Retrospective, observational cohort. METHODS: Patients with laboratory-confirmed COVID-19 and who had been followed up in the ICUs with respiratory failure for more than 24 hours were included in the study. Their demographics, clinical characteristics, laboratory variables, treatment protocols, and survival data were recorded. RESULTS: A total of 421 patients were included. The median age was 67 (IQR: 57-76) years, and 251 patients (59.6%) were men. The 90-day mortality rate was 55.1%. The factors independently associated with 90-day mortality were invasive mechanical ventilation (IMV) (HR 4.09 [95% CI: [2.20-7.63], P < .001), lactate level >2 mmol/L (2.78 [1.93-4.01], P < .001), age ≥60 years (2.45 [1.48-4.06)], P < .001), cardiac arrhythmia during ICU stay (2.01 [1.27-3.20], P = .003), vasopressor treatment (1.94 [1.32-2.84], P = .001), positive fluid balance of ≥600 mL/day (1.68 [1.21-2.34], P = .002), PaO2/FiO2 ratio of ≤150 mmHg (1.66 [1.18-2.32], P = .003), and ECOG score ≥1 (1.42 [1.00-2.02], P = .050). CONCLUSION: Long-term mortality was high in critically ill patients with COVID-19 hospitalized in intensive care units in Turkey. Invasive mechanical ventilation, lactate level, age, cardiac arrhythmia, vasopressor therapy, positive fluid balance, severe hypoxemia and ECOG score were the independent risk factors for 90-day mortality.

Potentially inappropriate medication use in elderly patients treated in intensive care units: A cross-sectional study using 2019 Beers, STOPP/v2 Criteria and EU(7)-PIM List.

OBJECTIVE: To determine the prevalence of and the risk factors for Potentially Inappropriate Medication (PIM), the drug groups most commonly evaluated as PIMs in elderly patients in the ICUs by using 2019 Beers Criteria, STOPP version 2 (v2) Criteria and EU(7)-PIM List. The relation between mortality rate and length of ICU stay with PIMs was also examined. METHODS: This was a cross sectional study conducted on patients aged ≥65 years, treated in ICUs (n = 139) between June 8, 2020, and January 11, 2021. Patients' demographic characteristics, clinical data and laboratory findings about the drugs used were collected prospectively. PIMs were evaluated according to each of the criteria applied. Relationship of dependent and independent variables was evaluated using chi-square analysis, t-test and logistic regression analysis. P < .05 was considered statistically significant. RESULTS: The number of patients with at least 1 PIM according to three criteria was 118 (84.9%) (80.6%, 59.7%, 48.2%, Beers, STOPP/v2 and EU(7)-PIM List, respectively). In the univariate analysis, receiving renal replacement therapy and high number of drugs were the covariates that significantly affected the presence of PIM according to all three criteria (P < .05). Combined use of anxiolytics and opioids in Beers Criteria (58.3%), antipsychotics (26.6%) in STOPP/v2 Criteria, and antiarrhythmics (23.7%) in EU(7)-PIM List were the drugs that caused PIM at most. No relationship was found between the presence of PIM and mortality. The length of ICU stay was determined significantly longer in the presence of PIM according to Beers Criteria (P = .028). CONCLUSIONS: In this study, the prevalence of PIM was determined higher in elderly patients in ICU. Our results supported that 2019 Beers Criteria for ICU patients seems to be more directive in detecting PIMs and determining the prognosis. Reducing the number of drugs administered may be the first step to decrease PIMs in elderly patients in ICU and to maintain the treatment safely.

Risk factors associated with mortality in intensive care COVID-19 patients: the importance of chest CT score and intubation timing as risk factors

Background/aim: Coronavirus disease 2019 (COVID-19) is a disease with a high rate of progression to critical illness. However, the predictors of mortality in critically ill patients admitted to the intensive care unit (ICU) are not yet well understood. In this study, we aimed to investigate the risk factors associated with ICU mortality in our hospital. Materials and methods: In this single-centered retrospective study, we enrolled 86 critically ill adult patients with COVID-19 admitted to ICU of Dokuz Eylül University Hospital (Izmir, Turkey) between 18 March 2020 and 31 October 2020. Data on demographic information, preexisting comorbidities, treatments, the laboratory findings at ICU admission, and clinical outcomes were collected. The chest computerized tomography (CT) of the patients were evaluated specifically for COVID-19 and CT score was calculated. Data of the survivors and nonsurvivors were compared with survival analysis to identify risk factors of mortality in the ICU. Results: The mean age of the patients was 71.1 ± 14.1 years. The patients were predominantly male. The most common comorbidity in patients was hypertension. ICU mortality was 62.8%. Being over 60 years old, CT score > 15, acute physiology and chronic health evaluation (APACHE) II score ≥ 15, having dementia, treatment without favipiravir, base excess in blood gas analysis ≤ ­2.0, WBC > 10,000/mm3, D-dimer > 1.6 µg/mL, troponin > 24 ng/L, Na ≥ 145 mmol/L were considered to link with ICU mortality according to Kaplan­Meier curves (log-rank test, p < 0.05). The APACHE II score (HR: 1.055, 95% CI: 1.021­1.090) and chest CT score (HR: 2.411, 95% CI:1.193­4.875) were associated with ICU mortality in the cox proportional-hazard regression model adjusted for age, dementia, favipiravir treatment and troponin. Howewer, no difference was found between survivors and nonsurvivors in terms of intubation timing. Conclusions: COVID-19 patients have a high ICU admission and mortality rate. Studies in the ICU are also crucial in this respect. In our study, we investigated the ICU mortality risk factors of COVID-19 patients. We determined a predictive mortality model consisting of APACHE II score and chest CT score. It was thought that this feasible and practical model would assist in making clinical decisions.