Vaccination status of COVID-19 patients followed up in the ICU in a country with heterologous vaccination policy: A multicenter national study in Turkey.

OBJECTIVE: Vaccination against severe acute respiratory syndrome coronavirus-2 (SARS-2) prevents the development of serious diseases has been shown in many studies. However, the effect of vaccination on outcomes in COVID-19 patients requiring intensive care is not clear. METHODS: This is a retrospective multicenter study conducted in 17 intensive care unit (ICU) in Turkey between January 1, 2021, and December 31, 2021. Patients aged 18 years and older who were diagnosed with COVID-19 and followed in ICU were included in the study. Patients who have never been vaccinated and patients who have been vaccinated with a single dose were considered unvaccinated. Logistic regression models were fit for the two outcomes (28-day mortality and in-hospital mortality). RESULTS: A total of 2968 patients were included final analysis. The most of patients followed in the ICU during the study period were unvaccinated (58.5%). Vaccinated patients were older, had higher Charlson comorbidity index (CCI), and had higher APACHE-2 scores than unvaccinated patients. Risk for 28-day mortality and in-hospital mortality was similar in across the year both vaccinated and unvaccinated patients. However, risk for in-hospital mortality and 28-day mortality was higher in the unvaccinated patients in quarter 4 adjusted for gender and CCI (OR: 1.45, 95% CI: 1.06-1.99 and OR: 1.42, 95% CI: 1.03-1.96, respectively) compared to the vaccinated group. CONCLUSION: Despite effective vaccination, fully vaccinated patients may be admitted to ICU because of disease severity. Unvaccinated patients were younger and had fewer comorbid conditions. Unvaccinated patients have an increased risk of 28-day mortality when adjusted for gender and CCI.

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.

A case report overlapped vaccine and COVID-19 in disseminated atherosclerosis.

Coronavirus disease 2019 (COVID-19) has become a part of our lives now and we have no more effective way of coping than a vaccine. COVID-19 is a disease that causes severe thrombosis outside the respiratory tract. Vaccines also protect us in this respect, but in some rare cases, thrombosis has been found to develop after vaccination (much less frequently than COVID-19). What was interesting in our case was that it showed how a disaster could happen under three factors that predispose to thrombosis. A 65-year-old female patient with disseminated atherosclerosis was admitted to the intensive care unit with complaints of dyspnea and dysphasia. In the evening of the day, the patient had the vaccination 2 weeks ago, she had active COVID-19. On examination, lower extremity pulses could not be detected. The patient's imaging and blood tests were performed. Multiple complications such as embolic stroke, venous and arterial thrombosis, pulmonary embolism, and pericarditis were observed in the patient. This case may give consideration to anticoagulant therapy studies. We give effective anticoagulant therapy in the presence of COVID-19 in patients at risk of thrombosis. Can anticoagulant therapy be considered after vaccination in patients at risk of thrombosis such as disseminated atherosclerosis?

Clinical Significance of Pleural Lactate Measurement in Critically Ill Patients with Parapneumonic Pleural Effusion.

OBJECTIVE: Pleural fluid pH measurement is recommended for tube thoracostomy decisions in complicated parapneumonic pleural effusions. However, pleural fluid pH may be affected by blood pH in critically ill patients with common systemic acid-base disorders. We aimed to investigate the use of pleural fluid lactate to distinguish culture-positive parapneumonic effusions from other pleural effusions. MATERIAL AND METHODS: This prospective observational study included 121 eligible patients (51 female and 70 male). All patients with pleural effusion who underwent thoracentesis were assessed. Pleural fluid lactate was measured by a blood gas analyzer. RESULTS: Of the 121 patients, 30 (24.8%) were transudate and 91 (75.2%) were exudate. Of the 91 patients with exudative pleural effusion, 61 were diagnosed as culture-negative parapneumonic, 13 as culture-positive parapneumonic, 9 as malignant, and 8 as other exudative effusion. There was a strong positive linear association between serum pH and pleural fluid pH (R = 0.77, P < .001). The post hoc tests for pleural fluid lactate revealed there was a significant difference between culture-positive parapneumonic versus culture-negative parapneumonic groups (P = .004), culture-positive parapneumonic versus transudative effusion groups (P < .001), culture-negative parapneumonic versus transudative effusion groups (P = .008) and lastly; malignant effusion versus transudative effusion groups (P = .001). Receiver operating characteristics curve analysis for culture-positive parapneumonic indicated a cutoff of 4.55 mmol/L for pleural fluid lactate to have a sensitivity of 76.9% and a specificity of 84.3% (positive predictive value: 37%, negative predictive value: 96.8%). CONCLUSION: A cutoff of 4.55 mmol/L of pleural fluid lactate can be used as a useful tool to distinguish culture-positive parapneumonic effusions from other effusions in critically ill patients.

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.