Background: Patients with severe acute respiratory distress syndrome (ARDS) have high mortality rates; therefore, new biomarkers are necessary to predict the prognosis in the early stages. Serum lactate dehydrogenase (LDH) level is a specific marker of lung damage, but it is not sensitive because it is affected by several factors. This study aimed to determine whether the LDH/albumin ratio could be used as a prognostic biomarker in patients with severe ARDS due to COVID 19. Methods: Tertiary intensive care unit (ICU) patients with severe ARDS and confirmed COVID-19 diagnosis between August 1, 2020, and October 31, 2021, were included. The demographic and clinical characteristics of the patients were recorded from the hospital databases, together with laboratory results on the day of admission to the ICU and the length of stay in the ICU and hospital. LDH/albumin, lactate/albumin, C-reactive protein (CRP)/albumin, and BUN/albumin ratios were calculated. Logistic regression analysis was performed to determine independent risk factors affecting mortality. Results: Nine hundred and five patients hospitalized in a tertiary ICU were evaluated. Three hundred fifty-one patients with severe ARDS were included in this study. The mortality rate of the included patients was 61.8% (of 217/351). LDH/albumin, lactate/albumin, and BUN/albumin ratios were higher in the nonsurvivor group (P < .001). The area under the curve (AUC) from the receiver operating characteristic analysis that predicted in-hospital mortality was 0.627 (95% confidence intervals (CI): 0.574–0.678, P < .001) for the LDH/albumin ratio, 0.605 (95% CI: 0.551–0.656, P < .001) for lactate/albumin, and 0.638 (95% CI: 0.585–0.688, P < .001) for BUN/albumin. However, LDH/albumin ratio was independently associated with mortality in multivariate logistic regression analysis. Conclusion: LDH/albumin ratio can be used as an independent prognostic factor for mortality in patients with severe ARDS caused by COVID-19.

Various scoring systems and cytokines have been cited as predicting disease severity in COVID-19 infection. This study analyzed the link between mortality rate, levels of cytokines, and scoring systems such as the Glasgow Coma Scale (GCS), Acute Physiologic Assessment and Chronic Health Evaluation II (APACHE II), Sequential Organ Failure Assessment (SOFA), and Charlson Comorbidity Index in patients infected with COVID-19. Adult patients infected with COVID-19 were followed up in the intensive care unit (ICU) and analyzed prospectively. We measured serum cytokine levels (Interleukin-10 (IL-10), Interleukin-8 (IL-8), Interleukin-6 (IL-6), Interleukin-1β (IL-1β), tumor necrosis factor-alpha (TNF-α) and High mobility group box 1 (HMGB-1)) and recorded GCS, APACHE II, SOFA, and Charlson comorbidity index scores on admission to the ICU. Receiver operating curve (ROC) analysis was performed to predict mortality from IL-1β, IL-6 IL-10, IL-8, TNF-α, and HMGB-1 values. Study participants were grouped as follows: Group A, survivors, and Group B, deceased, during the 28-day follow-up. The mean age was 65.69 (±13.56) in Group A (n = 36) and 70.85 (±10.06) in Group B (n = 27). The female/male ratio was 23/40. Age, sex, body mass index (BMI), comorbid illnesses, GCS, APACHE II, SOFA, and Charlson scores, duration of hospitalization or ICU admission, therapeutic choices, and lymphocyte, PMNL, NLR, platelet, D-dimer, fibrinogen, GGT, CRP, procalcitonin, and lactate levels were similar between the groups. The frequency of acute kidney injury (AKI) was higher in Group B (p = 0.005). Serum IL-10, IL-8, IL-6, IL-1β, TNF-α, HMGB-1, ferritin, and LDH values were higher, and PaO₂/FiO₂ was lower in Group B than in Group A. ROC analysis showed that there was an association between serum IL-1β (>1015.7), serum IL-6 (>116.7), serum IL-8 (>258.4), serum IL-10 (>247.5), serum TNF-α (>280.7), and serum HMGB-1 (>23.5) and mortality. AKI gave rise to a greater risk of mortality (odds ratio: 7.081, p = 0.014). Mortality was associated with serum IL-10, IL-8, IL-6, IL-1β, TNF-α, and HMGB-1 but not with GCS, APACHE II, SOFA, or Charlson comorbidity index scores. AKI increased the risk of mortality by seven times. Our findings suggest that cytokine levels (serum IL-10, IL-8, IL-6, IL-1β, TNF-α, and HMGB-1) were predictors of mortality in COVID-19 infection. In addition, our results might give an opinion about the course of COVID-19 infection.

Introduction: Blood purification therapy is a method used to enable cytokine removal and to improve disturbed immune homeostasis in patients with sepsis or septic shock. This study aimed to evaluate the impact of HA 330 treatment on biochemical and hemodynamic parameters and cytokine levels in adult patients with septic shock. Methods: Critically ill patients with septic shock who received continuous veno-venous hemodiafiltration and HA 330 treatment were included in this prospective observational study. Biochemical and hemodynamic parameters were followed throughout HA 330 treatment. Serum interleukin (IL)-1β, IL-6, IL-8, tumor necrosis factor (TNF)-α, high-mobility group box1 (HMGB-1) protein, IL-10 levels were analyzed by ELISA method, before and after each HA 330 session. Results: A total of 18 critically ill patients were included in this study. The median APACHE 2 score was 22.2 ± 7.49 and median SOFA score 9.6 ± 5.44 on intensive care unit admission. SOFA scores were significantly decreased on the 3rd day of HA 330 treatment, compared to 2nd day scores (p = 0.017). Median leukocyte value was significantly decreased (p = 0.027 and p = 0.024), while hemodynamic parameters remained unchanged throughout the HA 330 treatment. Median CRP and procalcitonin levels were significantly reduced at day 3 of HA 330 treatment compared to the baseline (p = 0.015 and p = 0.033, respectively). Serum IL-1 β, IL-6, IL-8, TNF-a, HMGB-1, and IL-10 levels decreased insignificantly by 11.5%, 26.4%, 11.4%, 37.9%, 0.02%, and 35.5%, respectively, at the end of the hemoperfusion treatment compared to the pre-treatment. Conclusion: The administration of HA 330-based hemoperfusion in septic shock patients revealed improvements in SOFA scores, leukocyte count, and CRP and procalcitonin levels. However, there was no statistically significant change in concentrations of inflammatory cytokines and hemodynamic parameters during HA 330 treatment.

Background This study aimed to investigate the effects of serum high mobility group box-1 (HMGB1), interleukin (IL)-6, IL-8, IL-1β, IL-10, and tumor necrosis factor alpha (TNF-α) levels on disease severity and mortality in Crimean-Congo hemorrhagic fever (CCHF) patients. Materials and methods This study was performed prospectively in the intensive care unit (ICU) and infection ward of a tertiary hospital in the Republic of Türkiye. Patients aged 18 years and older diagnosed with CCHF were included. Results Our study included 30 patients, of whom 83.3% were male, where the mean age was 51.6±14.35 years. The most common clinical findings in patients were malaise (90%) and myalgia (63.3%). In our study, IL-1β levels were found to be 1173.6 (783.0-1823.0) pg/mL, IL-6 69.9 (56.8-133.1) pg/mL, IL-8 191.2 (152.8-516.9) pg/mL, TNF-α 129.5 (104.9-270.8), HMGB1 37.01 (29.26-75.18), and IL-10 190.1 (IQR: 147.8-387.8) pg/mL. The patients' median Severity Scoring Index (SSI) score was found to be 2.5 (1.8-5.5). There was a moderate correlation between the patients' SSI score and serum IL-6 (r=0.464, p=0.010), TNF-α (r=0.420, p=0.021), and IL-10 levels (r=0.518, p=0.003), and a weak correlation between serum HMGB1 (r=0.392, p=0.032). The correlation between SSI and creatine phosphokinase (CPK) levels (r=0.499, p=0.036) was observed to be moderate. Conclusion It was seen that IL-10, IL-6, TNF-α, HMBG-1, and CPK levels evaluated at the CCHF patients' time of admission to the clinic and SSI clinical score were found to be significantly related. It is clear that more studies with patients and groups of healthy volunteers are needed on this subject.