Objectives Sepsis bundle compliance is not clear. We evaluated rates of compliance with sepsis bundle protocols among health care providers in Turkey. Methods Our study was carried out retrospectively. Forty-five intensive care units (ICU) participated in this study between March 2, 2018 and October 1, 2018. Results One hundred thirty-eight ICUs were contacted and 45 ICUs agreed to participate. The time taken for the diagnosis of sepsis was less than six hours in 384 (59.8%) patients, while if was more than six hours in 258 (40.2%) patients. The median linterquartile range (1QR)1 times for initial antibiotic administration, culturing, vasopressor initiation, and second lactate measurement were 120.0 (60-300) minutes, 24 (12-240) minutes, 40 (20-60) minutes, and 24 (18-24) hours, respectively. The rale of compliance with tissue and organ perfusion follow-up in the first six hours was 0%. The rates of three- and six-hour sepsis bundle protocol compliance were both 0%. The ICU mortality rates for sepsis and septic shock were 22% and 78%, respectively. The ICU mortality rates for sepsis and septic shock were 22% and 78%, respectively. Conclusions The rate of compliance with sepsis bundle protocols was evaluated in Turkey for the first time and determined to be 0%.

Background and Objectives: Acute kidney injury (AKI) is common in intensive-care unit (ICU) patients and is associated with increased mortality. Elderly patients tend to have more comorbid chronic diseases and are more prone to AKI than younger populations, resulting in higher rates of hospitalization and a higher incidence of AKI. Our aim in this study was to investigate the prognostic utility of BUN/albumin ratio (BAR) in predicting mortality in elderly critically ill patients with AKI. Materials and Methods: This study was conducted retrospectively on 154 elderly patients with AKI who were admitted to the ICU between October 2023 and September 2024.Data on the following demographic, clinical, and laboratory parameters were retrospectively collected from medical cards and electronic records. Results: In the non-survivor group, among comorbidities, lung disease was higher (p < 0.05), GCS was lower, and APACHE II was higher among clinical scores (p < 0.001). In the non-survivor group, diuretic use (p = 0.03), oliguria, RRT, vasopressor requirement, sepsis, and MV rates (p < 0.001),as well as BUN, phosphate, LDH, Crp, APTT, INR, and BAR rates, were higher (all p < 0.05) and albumin was lower (p = 0.01). Cut-off values of BUN, albumin, and BAR variables according to mortality status were determined by an ROC curve analysis, as follows:48.4 for BUN (p = 0.013), 31.5 for albumin (p = 0.001), and 1.507 for BAR (p = 0.001).According to the results of the ROC analysis performed to predict in-hospital mortality, the BAR level reached an AUC value of 0.655. A BAR value above 1.507 increases mortality by 3.944 times (p = 0.023). Conclusions: BAR is a simple and accessible biomarker that may serve as a predictor of in-hospital mortality in elderly patients with AKI. Its use may aid early risk stratification and decisionmaking in the ICU.

Objectives: Systemic inflammation, coagulopathy, and multiorgan dysfunction are common in critically ill patients and contribute significantly to mortality. Serum albumin and D-dimer are routinely used biomarkers that reflect nutritional status and coagulation activity, respectively. This study aimed to investigate the prognostic value of the albumin-to-D-dimer ratio (ADR) in predicting 30-day mortality among patients admitted to the intensive care unit (ICU) and undergoing mechanical ventilation. Methods: This retrospective cohort study included 162 adult patients who underwent invasive mechanical ventilation in the ICU of a tertiary care center between January 2021 and December 2023. Demographic data, comorbidities, and laboratory values—such as serum albumin, D-dimer, lactate, CRP, BUN, creatinine, INR, and platelet count—were recorded within the first 24 h of ICU admission. The albumin-to-D-dimer ratio (ADR) was calculated by dividing serum albumin (g/dL) by D-dimer (μg/mL). The patients were stratified into tertiles based on ADR values: low (1.45). The association between the ADR and 30-day mortality was analyzed using multivariate logistic regression and receiver operating characteristic (ROC) curve analysis. Results: Of the 162 patients included in the study, 61 (37.7%) died within 30 days. The patients who died had significantly lower ADR values at ICU admission compared to survivors (1.02 ± 0.43 vs. 1.56 ± 0.52, p < 0.001). In the multivariate logistic regression model, a lower ADR remained an independent predictor of 30-day mortality (OR: 0.39; 95% CI: 0.26–0.58; p < 0.001), even after adjusting for age, lactate, creatinine, INR, and other relevant clinical variables. ROC curve analysis demonstrated that the ADR had the highest discriminative performance among all the evaluated parameters, with an AUC of 0.802 (95% CI: 0.728–0.875; p < 0.001). The optimal cut-off value for the ADR was identified as <1.05, yielding a sensitivity of 78.7% and a specificity of 71.4% in predicting 30-day mortality. Conclusions: The ADR is independently associated with 30-day mortality in mechanically ventilated ICU patients and may serve as a useful early prognostic marker. However, given the retrospective, single-center nature of this study, these findings should be interpreted with caution. Further prospective, multicenter studies are needed to validate the clinical utility of the ADR.

Objectives: Gla-rich protein (GRP), a vitamin K-dependent protein, has been increasingly recognized for its dual role in modulating inflammation and inhibiting pathological calcification. Despite its emerging importance in chronic conditions, limited evidence exists regarding its behavior during acute critical illness. This study aimed to investigate the association between GRP, systemic inflammatory markers, oxidative stress (via total thiol oxidation-reduction ratio, TORR), and calcium metabolism in critically ill patients. Materials and Methods: This cross-sectional observational study included 93 critically ill patients admitted to the intensive care unit (ICU) and 60 age- and sex-matched non-critically ill volunteers. Serum GRP levels were measured using ELISA. Other biomarkers including TORR, C-reactive protein (CRP), procalcitonin (PCT), white blood cell count (WBC), immature granulocytes (IGs), and serum calcium were also analyzed. Pearson’s correlation, multivariate linear regression, and ROC analysis were performed to assess the relationships among GRP and biochemical markers, as well as their capacity to differentiate ICU patients from controls. Results: GRP, TORR, CRP, PCT, WBC, IGs, and ferritin levels were significantly elevated in ICU patients compared to the control group, whereas serum calcium levels were markedly reduced (all p < 0.05). GRP levels demonstrated moderate positive correlations with WBC (r = 0.47), neutrophils (r = 0.51), TORR (r = 0.42), CRP (r = 0.30), and IGs (r = 0.46), and a strong negative correlation with calcium (r = −0.63). In multivariate regression, TORR, CRP, WBC, IGs, PCT, and calcium levels showed significant correlations with GRP levels in univariate analysis. ROC analysis revealed that CRP had the highest discriminatory power (AUC = 0.88; 95% CI: 0.82–0.94), followed by TORR (AUC = 0.79; 95% CI: 0.71–0.86), GRP (AUC = 0.76; 95% CI: 0.68–0.84), and IGs (AUC = 0.77; 95% CI: 0.69–0.85), for distinguishing ICU patients from non-critically ill individuals. Conclusions: Our findings demonstrated that GRP is significantly associated with systemic inflammation, oxidative stress, and calcium metabolism disturbances in critically ill patients. The combined evaluation of GRP and TORR may enhance the understanding of inflammatory and oxidative mechanisms in acute critical illness. Although this study did not assess patient outcomes, these biomarkers could serve as promising candidates for future prognostic research in ICU settings.