Objectives: Identifying reliable biomarkers to predict mortality in critically ill patients is crucial for optimizing management in intensive care units (ICUs). Inflammatory and metabolic markers are increasingly recognized for their prognostic value. This study aims to evaluate the association of various inflammatory and metabolic markers with ICU mortality. Methods: This prospective observational study was conducted from January 2023 to January 2024 in the City Hospital’s ICU. A total of 160 critically ill patients were enrolled. Laboratory parameters, including white blood cell (WBC) count, red cell distribution width (RDW), platelet count, neutrophil count, mean platelet volume (MPV), monocyte count, lymphocyte count, procalcitonin (PCT), C-reactive protein (CRP), calcium (Ca⁺⁺), and vitamin D levels, were analyzed. Additionally, ratios such as the platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), systemic inflammatory index (SII), and pan-immune-inflammation value (PIV) were calculated. Plasma levels of Gla-rich protein (GRP) and dephosphorylated uncarboxylated matrix Gla protein (dp-ucMGP) were measured using ELISA. Results: The mean age of the patients included in the study was 60.5 ± 15.8 years. Cardiovascular disease was present in 72 patients (45%), respiratory system disease in 58 (36%), and chronic kidney disease (CKD) in 38 (24%). Additionally, 61 patients (38%) had diabetes, and 68 (42%) had hypertension. Inflammatory markers, including PLR, NLR, and PIV, were all significantly higher in non-survivors, while calcium and vitamin D levels were lower (p < 0.05). Higher WBC, RDW, neutrophil count, PLR, NLR, PIV, CRP, procalcitonin, GRP, and dp-ucMGP levels were positively correlated with longer hospital stays and increased mortality. In contrast, platelet and lymphocyte counts were negatively correlated with both outcomes (p < 0.05). Vitamin D levels showed an inverse relationship with both hospital stay and mortality, indicating that lower levels were associated with worse outcomes (p < 0.05). In multiple logistic regression analysis, elevated WBC count (OR = 1.20, p = 0.02), RDW (OR = 1.35, p = 0.01), neutrophil count (OR = 1.25, p = 0.01), MPV (OR = 1.20, p = 0.02), PLR (OR = 1.30, p = 0.01), NLR (OR = 1.40, p = 0.001), PIV (OR = 1.50, p = 0.001), CRP (OR = 1.32, p = 0.01), procalcitonin (OR = 1.45, p = 0.001), GRP (OR = 1.40, p = 0.001), and dp-ucMGP (OR = 1.30, p = 0.001) levels were significantly associated with increased mortality. Conclusions: Inflammatory and metabolic markers, particularly NLR, PLR, PIV, GRP, and dp-ucMGP, are strong predictors of mortality in ICU patients. These markers provide valuable insights for risk stratification and early identification of high-risk patients, potentially guiding more targeted interventions to improve outcomes.

Benign tracheal stenosis (TS) is a potentially life-threatening condition caused by iatrogenic events resulting from endotracheal intubation and tracheostomy. The study aimed to determine the clinical characteristics, management, and long-term outcomes of patients with simple or complex post-intubation tracheal stenosis (PITS) who were admitted to the intensive care unit (ICU). Retrospective analysis of patients admitted to the ICU between June 2016 and June 2022 and diagnosed with PITS were performed until June 2023. 76 patients (mean age 54.9 ± 17.3%, 63.2% male, 61.8% complex stenosis) admitted to the ICU were analysed. The diagnosis of PITS was made by fiberoptic bronchoscopy (FOB) in 53.9% and computed tomography (CT) in 46.1%. The most common location of stenosis was the upper trachea area (57.9%, n = 44). The median stenosis length of the TS was 1.9 cm (median 2 cm for complex stenosis, 1 cm for simple stenosis, p < 0.001). Complex stenosis was associated with longer intubation time and multiple intubation history (p = 0.011, p = 0.028). At the same; complex stenosis was associated with prolonged and high stenosis percentage (p < 0.001). While dilatation and cryotherapy were sufficient for treatment in all patients with simple stenosis, the stent was applied to 34% patients with complex stenosis. Recurrence was higher in complex stenosis after bronchoscopic procedure (complex stenosis 95.7%, simple stenosis 17.2%). 19 (25%) patients required surgical operation, and all of these patients had complex stenosis (p < 0.001). Median follow-up was 33 months for simple stenosis and 34 months for complex stenosis. ICU length of stay (LOS) was longer in patients with complex stenosis. There was no statistically significant difference between TS classes in terms of ICU mortality (p = 0.466), 1-year mortality (p = 0.951), and mortality during follow-up (p = 0.608). PITS is a challenging situation in ICU patients. In patients with a preliminary diagnosis of PITS, bronchoscopy should be performed without delay, and it should be known that interventional bronchoscopy is not only a diagnostic tool but an effective strategy in treatment management after the diagnosis is finalised. The advantage of interventional bronchoscopy is that it alleviates symptoms that necessitate hospitalisation in the ICU and eliminates the need for ICU of patients.

Background and Objectives: The objective of this study was to determine the correlation between the prognosis of patients admitted to a tertiary intensive care unit (ICU) and the admitted patient population, intensive care conditions, and the workload of intensive care staff. Materials and Methods: This was a retrospective cross-sectional study that analyzed data from all tertiary ICUs (a minimum of 40 and a maximum of 59 units per month) of eight training and research hospitals between January 2022 and May 2023. We compared monthly data across hospitals and analyzed factors associated with patient prognosis, including mortality and pressure injuries (PIs). Results: This study analyzed data from 54,312 patients, of whom 51% were male and 58.8% were aged 65 or older. The median age was 69 years. The average number of tertiary ICU beds per unit was 15 ± 6 beds, and the average occupancy rate was 83.57 ± 19.28%. On average, 7 ± 9 pressure injuries (PI) and 10 ± 7 patient deaths per unit per month were reported. The mortality rate (18.66%) determined per unit was similar to the expected rate (15–25%) according to the Acute Physiology and Chronic Health Evaluation (APACHE) II score. There was a statistically significant difference among hospitals on a monthly basis across various aspects, including bed occupancy rate, length of stay (LOS), number of patients per ICU bed, number of patients per nurse in a shift, rate of patients developing PI, hospitalization rate from the emergency department, hospitalization rate from wards, hospitalization rate from the external center, referral rate, and mortality rate (p < 0.05). Conclusions: Although generally reliable in predicting prognosis in tertiary ICUs, the APACHE II scoring system may have limitations when analyzed on a unit-specific basis. ICU-related conditions have an impact on patient prognosis. ICU occupancy rate, work intensity, patient population, and number of working nurses are important factors associated with ICU mortality. In particular, data on the patient population admitted to the unit (emergency patients and patients with a history of malignancy) were most strongly associated with unit mortality.

Background: Postoperative nausea and vomiting (PONV) is one of the complications that can occur frequently in the first 24 hours postoperatively. We aimed to investigate the parameters that could predict PONV in patients who underwent thoracoscopic wedge resection for pneumothorax. Materials and Methods: After obtaining the approval of the ethics committee (ID: 2012-KEAK-15/2358, Date: 14.09.2021), the records of patients who underwent elective video-assisted thoracic surgery (VATS) between January 2018 and June 2021 were analyzed retrospectively. The patients who underwent elective thoracoscopic wedge resection for pneumothorax, who were between the ages of 18-65, American Society of Anesthesiologists (ASA) I-III, and whose body mass index (BMI) was between 18-30 kg/m² were included in the study. However, patients who received a blood transfusion or used antiemetics, anticholinergic drugs, and analgesics continuously were not included. In addition, patients with a history of chronic pain were not included in the study. The patients were divided into two groups, the PONV group (Group 1) and the control group (Group 2). The PONV incidence, visual analog scale (VAS) scores, 24-hour morphine consumption, additional analgesic requirement, neutrophil/lymphocyte ratios (NLR), and platelet/lymphocyte ratios (PLR) were evaluated. Results: The groups were similar in terms of demographic data (p > 0.05). Additional analgesic requirement and 24-hour morphine consumption were significantly higher in the PONV group (p: 0.005, p < 0.001, respectively). Preoperative NLR (p < 0.001), postoperative NLR (p < 0.001), preoperative PLR (p < 0.022), the VAS scores of the first hour (p: 0.004), and 24^th hour (p < 0.001) were statistically significantly higher in the PONV group compared to the control group. Conclusions: NLR parameters can be effective with high sensitivity and specificity in predicting PONV during the preoperative and postoperative period. Besides, preoperative PLR may also be effective in predicting PONV. A treatment that can be planned according to these parameters may play a key role in preventing PONV. In addition, efficient perioperative analgesia management may be effective in reducing PONV by limiting the emetogenic analgesics.

Background and Objectives: Postoperative femur fracture in elderly patients is associated with high morbidity and mortality, especially in the intensive care unit (ICU). Various factors, including demographic and laboratory parameters, may influence mortality in this population. The aim of this study was to evaluate the association of inflammatory and metabolic markers with mortality in ICU patients with postoperative femur fractures and to identify key predictors to enhance risk stratification and improve patient outcomes. Materials and Methods: In this retrospective single-center study, we analyzed 121 patients aged over 65 years with postoperative femur fractures who were admitted to the ICU between January 2023 and January 2024. Demographic and clinical data, including comorbidities, Charlson Comorbidity Index (CCI), and Acute Physiology and Chronic Health Evaluation (APACHE II) score, were collected. Laboratory parameters such as white blood cell count (WBC), albumin, C-reactive protein (CRP), D-dimer, Pan-Immune-Inflammation Value (PIV), CRP-to-albumin ratio (CAR), neutrophil-to-lymphocyte ratio (NLR), and others were analyzed. Linear regression, logistic regression, and Receiver Operating Characteristic (ROC) analyses were performed to determine the predictive value of these markers for ICU mortality. Results: The mean age of the patients was 76.3 ± 9.6 years, and 52.1% were female. The most common comorbidities were hypertension (67.8%) and diabetes (49.6%). ICU mortality occurred in 24 patients (20%). Significant predictors of mortality included higher CRP (>62.8 mg/L), NLR (>10.0), PIV (>450), and APACHE II scores (>23) (p < 0.001 for all). Lower albumin levels (<2.5 g/dL) were strongly associated with increased mortality (p < 0.001). ROC analysis demonstrated that the APACHE II score had the highest predictive accuracy for mortality (AUC = 0.83), followed by albumin (AUC = 0.79) and PIV (AUC = 0.76). Extended ICU stay (>10 days) was also significantly correlated with increased mortality (p < 0.001). Conclusions: This study successfully demonstrates the utility of combining traditional clinical markers, such as APACHE II score, with novel inflammatory markers, such as PIV, CAR, and NLR, in predicting mortality in ICU patients following femur fracture surgery. The integration of emerging biomarkers with well-established scoring systems offers enhanced predictive accuracy and provides valuable insights into patient management.

Objectives: The aim of this study is to assess the oxidative stress status in patients requiring intensive care unit (ICU) admission before initiating ICU treatment, by measuring the total oxidant level (TOS) and total antioxidant level (TAS) and oxidative stress index (OSI) levels. Additionally, we aim to explore the correlation between these oxidative stress markers and biochemical and hematological parameters. Materials and Methods: A total of 153 patients treated in intensive care units were included in the study. Patients who met the patient admission criteria of the ethics committee of the intensive care medicine association were included in the study. Blood samples were taken at the first moment the patients were admitted to the intensive care unit (before starting treatment). In total, 60 healthy volunteers who were compatible with the patient group in terms of age and gender were included in the study as a control group. Patients who had previously received antioxidant treatment and cancer patients were excluded from the study. Results: The TOS was significantly higher in the patient group (13.4 ± 7.5) compared to controls (1.8 ± 4.4) (p = 0.021). TOS > 12.00 means a “very high oxidant level”. OSI was significantly higher in the patient group (689.8 ± 693.9) compared to the control group (521.7 ± 546.6) (p = 0.035). Ferritin levels were significantly higher in the patient group (546.5 ± 440.8 ng/mL) compared to controls (45.5 ± 46.5 ng/mL) (p < 0.001). Patients had significantly higher levels of C-reactive protein (CRP), procalcitonin (PCT), white blood cells (WBCs), immature granulocytes (IGs), zinc, and copper compared to the control group, indicating elevated inflammation and oxidative stress. CRP levels were 76.6 ± 85.9 mg/L in patients versus 5.6 ± 15.1 mg/L in controls (p < 0.001). PCT levels were 15.8 ± 8.6 ng/L in patients versus 2.3 ± 7.2 ng/L in controls (p = 0.012). Zinc and copper were also significantly elevated (p = 0.012 and p = 0.002, respectively). Conclusions: Our study provides valuable insights into the relationship between oxidative stress, inflammation, and trace elements, contributing to the growing understanding of oxidative stress as a prognostic tool in critical care. This could help to tailor therapeutic strategies aimed at reducing oxidative damage in ICU patients, enhancing patient outcomes.