Association between the Fibrosis-4 index and mortality risk in acute pancreatitis

Impact of Major Bleeding on 30-Day Mortality and Clinical Outcomes in Patients With Acute Coronary Syndromes: An Analysis From the ACUITY Trial

The most commonly used parameter of right ventricular (RV) systolic function - tricuspid annular plane systolic excursion (TAPSE) - is unavailable for some patients. Subcostal echocardiographic assessment of tricuspid annular kick (SEATAK) has been proposed as its alternative. The study aimed to assess the feasibility of SEATAK use in patients with acute pulmonary embolism (PE) and its value in prognosis after PE. The observational study included 164 consecutive patients (45.7% men; average age, 70 years) with a high clinical probability of PE referred for computed tomography pulmonary angiography. SEATAK was unavailable due to inadequate quality of echocardiogram in 2.8% of patients, whereas TAPSE could not be calculated in 4.9%, both parameters were not estimated only in 0.6%. SEATAK and TAPSE values did not differ between groups of patients with PE (n = 82) and without (n = 82). In the whole study, SEATAK correlated positively with TAPSE (r = 0.71; 95% confidence interval [CI], 0.62-0.78; P < 0.001), fractional area change of the RV, left ventricular ejection fraction, and peak systolic tricuspid annular velocity assessed with tissue Doppler imaging. There were only 3 echocardiographic predictors of 30-day all-cause mortality in patients with with PE (n = 10): SEATAK, pulmonary acceleration time, and the 60/60 sign. SEATAK predicted 30-day all-cause mortality with AUC (area under the curve) 0.726 (95% CI, 0.594-0.858; P = 0.01) and 30-day PE-related mortality (n = 4) with AUC, 0.772 (95% CI, 0.506-0.998; P = 0.03). SEATAK is a promising practicable echocardiographic parameter reflecting RV systolic function and might be an accurate alternative to TAPSE. Moreover, SEATAK could be an independent predictor of all-cause and PE-related 30-day mortality in patients with acute PE.

To investigate the survival outcomes and risk factors for mortality in cirrhotic patients with probable spontaneous bacterial peritonitis (SBP). We retrospectively analyzed the clinical data of 323 cirrhotic patients with ascites admitted from June 2021 to May 2022, including 115 patients with SBP [ascites polymorphonuclear leucocyte (PMN) count ≥250/mm3], 52 patients with bacterascites (PMN count < 250/mm3 with positive microbiological finding in ascites), 67 patients with probable SBP (PMN count < 250/mm3 with negative microbiological finding in ascites but clinical symptoms of SBP) and 89 patients without infection (PMN count < 250/mm3 with negative microbiological finding without clinical symptoms of SBP). The clinical characteristics, laboratory data and 90-day mortality of the patients were compared among the 4 groups. Cox proportional hazard model and propensity score matching (PSM) in a 1∶1 ratio were used to analyze the risk factors for mortality in patients with probable SBP. The patients with probable SBP had a 90-day mortality rate of 43.28%, similar to those of patients with SBP (46.95%, P=0.121) and bacterascites (48.07%, P=0.805) but significantly higher than that of non-infected patients (11.23%, P < 0.001). In the 46 pairs of patients matched using PSM, the 90-day mortality rates were higher in probable SBP group than in non-infected group both before (43.28% vs 11.23%, P < 0.001) and after PSM (34.78% vs 15.21%, P=0.038). Cox regression analysis indicated that probable SBP was an independent predictor of 90-day mortality in cirrhotic patients with ascites (HR=1.539, 95% CI: 1.048-2.261, P=0.028). A Model for End-Stage Liver Disease (MELD) score > 15 (HR=1.943, 95% CI: 1.118-3.377, P=0.018) and procalcitonin level > 0.48 ng/mL (HR=1.989, 95% CI: 1.111-3.560, P=0.021) at diagnostic paracentesis were both independent risk factors for 90-day mortality in patients with probable SBP. Cirrhotic patients with probable SBP have poor survival outcomes, and their management should be further optimized based on their MELD score and procalcitonin level.

Hyperglycemia commonly occursin severe cases with COVID-19. In this study, we explored the associations between admission fasting plasma glucose (FPG) and 28-day mortality in COVID-19 patients. In this single centre retrospective study, 263 adult patients with COVID-19 were included. Demographic and clinical information were collected and compared between patients with and without diabetes. Cox regression analyses were used to investigate the risk factors of 28-day mortality in hospitals. Of 263 patients, 161 (61.2%) were male, 62 (25.6%) had a known history of diabetes, and 135 (51.3%) experienced elevated FPG (>7.0 mmol/L) at hospital admission. The median FPG in patients with diabetes was much higher than in patients without diabetes (12.79vs. 6.47 mmol/L). Patients with diabetes had higher neutrophil count and D-dimer, less lymphocyte count, lower albumin level, and more fatal complications. Multivariable Cox regression analyses showed that age (per 10-year increase) (hazard ratio [HR], 1.41; 95% confidence interval [CI], 1.13-1.74), admission FPG between 7.0 and 11.0and≥11.1 mmol/L (HR, 1.90; 95% CI, 1.11-3.25and HR, 2.09; 95% CI, 1.21-3.64, respectively), chronic obstructive pulmonary disease (HR, 2.89; 95% CI, 1.31-6.39), and cardiac injury (HR, 2.14; 95% CI, 1.33-3.47) were independent predictors of 28-day mortality in COVID-19 patients. Hyperglycemia on admission predicted worse outcome in hospitalized patients with COVID-19. Intensive monitoring and optimal glycemic control may improve the prognosis of COVID-19 patients.

Link of Video Abstract: https://youtu.be/cQUhwa50jAM Background: Predictors of mortality in COVID-19 patients, which are essential factors in guiding patient management, are poorly understood. In Indonesia, several inflammatory markers have been utilized to evaluate the severity of COVID-19. This study aimed to determine the role of C-reactive protein (CRP), D-dimer, interleukin-6 (IL-6), and XCL1/lymphotactin levels in predicting 28-day mortality in patients with COVID-19. Methods: A prospective cohort study was conducted with COVID-19 patients admitted to the emergency department at Cipto Mangunkusumo Hospital and Medistra Hospital, Jakarta, Indonesia, from June 2020 to February 2021. The predictors of 28-day mortality in COVID-19 patients in this study included CRP, D-dimer, IL-6, and XCL1 levels at admission. Cox proportional hazard regression analysis was used to determine the independent predictors of 28-day mortality in the study population. Results: A total of 120 patients with COVID-19 were enrolled in the study; 21 (17.5%) died within 28 days after admission. According to our multivariate analysis, a CRP level (HR, 8.55; 95% CI, 3.310-22.088) ≥ 110 mg/L and a D-dimer level (HR, 20.642; 95% CI, 6.909-61.667) ≥ 4640 ng/mL were identified as independent predictors of 28-day mortality in COVID-19 patients. Conclusion: A C-reactive protein level ≥ 110 mg/L and a D-dimer level ≥ 4640 ng/mL can be used to predict 28-day mortality in COVID-19 patients.

This study aimed to evaluate the association between the delta neutrophil index (DNI), which reflects immature granulocytes, and the severity of ST-elevation myocardial infarction (STEMI), as well as to determine the significance of the DNI as a prognostic marker for early mortality and other clinical outcomes in patients with STEMI who underwent reperfusion. This retrospective, observational cohort study was conducted using patients prospectively integrated in a critical pathway program for STEMI. We included 842 patients diagnosed with STEMI who underwent primary percutaneous coronary intervention (pPCI). Higher DNI values at time-I (within 2 h of pPCI; hazard ratio [HR], 1.075; 95% confidence interval [CI]: 1.046–1.108; p < 0.001) and time-24 (24 h after admission; HR, 1.066; 95% CI: 1.045–1.086; p < 0.001) were significant independent risk factors for 30-day mortality. Specifically, DNI values >2.5% at time-I (HR, 13.643; 95% CI: 8.13–22.897; p < 0.001) and > 2.9% at time-24 (HR, 12.752; 95% CI: 7.308–22.252; p < 0.001) associated with increased risks of 30-day mortality. In conclusion, an increased DNI value, which reflects the proportion of circulating immature granulocytes in the blood, was found to be an independent predictor of 30-day mortality and poor clinical outcomes in patients with acute STEMI post-pPCI.

To investigate the correlation between nucleated red blood cell (NRBC) level on the first day of intensive care unit (ICU) admission and 28-day mortality in adult septic patients, and to evaluate the value of NRBC as an independent predictor of death. Single-cell transcriptomic analysis was performed using the GSE167363 dataset from the Gene Expression Omnibus (including 2 healthy controls, 3 surviving septic patients, and 2 non-surviving septic patients). A retrospective clinical analysis was conducted using the America Medical Information Mart for Intensive Care-IV (MIMIC-IV) database, including adult patients (≥ 18 years) with first-time admission who met the Sepsis-3.0 criteria, excluding those without NRBC testing on the first ICU day. The demographic information, vital signs, laboratory test indicators, disease severity score and survival data on the first day of admission were collected. The restricted cubic spline (RCS) curve was used to determine the optimal cut-off value of NRBC for predicting 28-day mortality in patients. Patients were divided into low-risk and high-risk groups based on this cut-off value for intergroup comparison, with Kaplan-Meier survival curve analysis conducted. Independent risk factors for 28-day mortality were analyzed using Logistic regression and Cox regression analysis, followed by the construction of regression models. NRBC were detected in the peripheral blood of septic patients by single-cell transcriptomic. A total of 1 291 sepsis patients were included in the clinical analysis, with 576 deaths within 28 days, corresponding to a 28-day mortality of 44.6%. RCS curve analysis showed a nonlinear relationship between the first-day NRBC level and the 28-day mortality. When NRBC ≥ 1%, the 28-day mortality of patients increased significantly. Compared to the low-risk group (NRBC < 1%), the high-risk group (NRBC ≥ 1%) had significantly higher respiratory rate, heart rate, sequential organ failure assessment (SOFA), and simplified acute physiology score II (SAPSII), and significantly lower hematocrit and platelet count. The high-risk group also had a significantly higher 28-day mortality [49.8% (410/824) vs. 35.5% (166/467), P < 0.05], and shorter median survival time (days: 29.8 vs. 208.6, P < 0.05). Kaplan-Meier survival curve showed that compared with the low-risk group, the survival time of high-risk group was significantly shortened (Log-rank test: χ 2 = 25.1, P < 0.001). After adjusting for potential confounding factors including body mass, temperature, heart rate, respiratory rate, mean arterial pressure, serum creatinine, pulse oximetry saturation, hemoglobin, hematocrit, Na+, K+, platelet count, and SOFA score, multivariate regression analysis confirmed that NRBC ≥ 1% was an independent risk factor for 28-day mortality [Logistic regression: odds ratio (OR) = 1.464, 95% confidence interval (95%CI) was 1.126-1.902, P = 0.004; Cox regression: hazard ratio (HR) = 1.268, 95%CI was 1.050-1.531, P = 0.013]. NRBC ≥ 1% on the first day of ICU admission is an independent risk factor for 28-day mortality in septic patients and can serve as a practical indicator for early prognostic assessment.

BackgroundStress hyperglycemia ratio (SHR) has been associated with increased mortality from various cerebrovascular events and a higher incidence of acute kidney injury (AKI) in certain patient populations. However, the relationship between SHR and the mortality risk in patients with AKI has not been fully elucidated. Our study sought to comprehensively investigate the association and potential mediating effects between SHR and 28-day and 90-day mortality in patients with AKI.Methods3703 patients with AKI were included in this study. Feature importance variables were screened by a random forest algorithm, and the independent association of SHR with mortality risk was determined by Kaplan ‒ Meier survival analysis with Cox regression analysis. Restricted cubic spline (RCS) was conducted to assess the non-linear relationship between SHR and mortality risk. Mediation analysis was deployed to investigate the indirect effect of SHR on respiratory failure (RF) -mediated mortality risk.ResultsAmong the patients with AKI included in this study, the 28-day mortality was 13.6% and the 90-day mortality was 18.7%. Fully adjusted Cox regression demonstrated that SHR was an independent risk factor for 28-day mortality (HR, 1.77 [95% CI 1.38–2.27], P < 0.001) and 90-day mortality (HR, 1.69 [95% CI 1.36–2.11], P < 0.001) in patients with AKI. RCS analysis revealed a linear relationship between SHR and outcome events. Additionally, the effect of SHR on 28-day and 90-day mortality risk were mediated by an increased RF risk in 6.62% and 6.54%, respectively.ConclusionHigh SHR is an independent risk factor for 28-day and 90-day mortality in patients with AKI, and its effect is partly mediated by an increased risk of RF.

Background/Aim. The prediction role of gender in early mortality in patients with acute pulmonary embolism (PE) is still debatable. The aim of the study was to examine sex-specific factors in all-cause 30-day mortality in patients suffering from acute PE. Methods. Acute PE subjects (n = 532), 49.6% men, were derived from a ?real-life? observational multicenter study. We assessed independent risk factors as predictors for early (one-month) fatal outcome in men, women and total population using univariate Cox regression analysis. Results. Age, obesity, hypertension, renal dysfunction, anemia, community-acquired pneumonia, and smoking history presented statistically significant sex-specific differences. One-month mortality was 13.7%, without significant difference in survival based on sex (Log Rank test; p = 0.324). Tachycardia at admission [hazard ratio (HR) = 2.61, p = 0.004], coronary artery disease (HR = 2.30, p = 0.047), immobilization four weeks prior to a PE episode (HR = 2.31, p = 0.018) and older age (HR = 1.03, p = 0.017) in women, while chronic obstructive pulmonary disease (COPD) (HR = 4.03, p &lt; 0.001) and leukocytosis (HR = 1.19, p &lt; 0.001) in men significantly increased one-month mortality risk. Conclusion. Patient's sex did not prove to be the independent predictor for 30-day mortality in PE patients. We found that tachycardia at admission, older age, coronary artery disease and limb immobilization four weeks prior to PE in women, whereas COPD and elevated leukocyte count in men were associated with higher chance of all-cause early mortality.

Objective: The aim of this study is to evaluate the relationship between lactate dehydrogenase to albumin ratio (LAR) and the prognosis of patients with acute pancreatitis (AP), and further validate its clinical utility as a biomarker. Methods: We retrospectively analyzed the clinical data of 82 patients with acute pancreatitis admitted to the Intensive Care Unit of Shanghai East Hospital from 2019 to 2024. Based on their 28-day survival outcomes, the patients were categorized into a death group(n=10) and a survival group(n=72). Various clinical indicators, including age, gender, hemoglobin (Hb), total bilirubin (TB), and creatinine (Cr), were evaluated to further identify independent prognostic factors. The predictive power of LAR values was evaluated through Cox multivariate regression analysis and ROC curve, while Kaplan Meier survival analysis was used to analyze the survival differences among patients with different LAR levels. To verify the robustness of the results, we further independently validated the predictive ability of LAR using the eICU database. Results: Compared with the survival group, the LAR of patients in the death group was significantly increased (p&lt;0.01), and the ICU hospitalization time and total hospitalization time were significantly prolonged. Cox regression analysis showed that LAR was an independent predictor of 28-day mortality in AP patients (HR 1.03; 95% CI: 1.01-1.06). ROC analysis shows that the AUC of LAR is 0.943 and the cutoff value is 29.050. The 28-day mortality rate of patients in the high LAR group was significantly higher than that in the low LAR group (p&lt;0.01). In the validation of eICU database, LAR also showed high prognostic predictive performance (AUC=0.898), indicating that this indicator has strong stability and universality. Concliusions: LAR is an independent risk factor for 28-day mortality in AP patients and can effectively identify high-risk patients.

A Radiological Nomogram to Predict 30-day Mortality in Patients with Acute Pulmonary Embolism

To evaluate the predictive value of sequential organ failure assessment (SOFA) for 28-day mortality in patients with post-cardiac arrest syndrome (PCAS). Retrospective analysis of 125 patients with PCAS who were treated in Emergency Intensive Care Unit (EICU) of Wenzhou People's Hospital from July 2016 to July 2021. Clinical data were collected, including age, gender, underlying diseases, acute physiology and chronic health evaluation II (APACHE II), SOFA score on admission to EICU and 28-day mortality. Univariate and multivariate Logistic regression model was constructed to analyze the influencing factors of PCAS patients, which was used to examine the independent correlation between SOFA score and 28-day mortality. Receiver operator characteristic curve (ROC curve) was used to determine the best predictive value of SOFA score and 28-day mortality in PCAS patients. Among the 125 PCAS patients, there were 91 males and 34 females with an average age of (58.7±15.1) years old, and 97 died and 28 survived within 28 days. The overall SOFA score ranged from 7 to 15 points, with an average of 10.9 (10.0, 12.0) points. The SOFA score of non-survival group was significantly higher than that of the survival group [points: 11.0 (10.0, 12.0) vs. 9.5 (9.0, 10.0), P < 0.05]. This difference between SOFA score mainly caused by the neurological and cardiovascular systems. After excluding neurological factors, the SOFA score of the non-survival group was still significantly higher than that of the survival group [points: 8.0 (6.0, 8.0) vs. 6.5 (6.0, 7.0), P < 0.05]. SOFA score was found to be an independent risk factor for 28-day mortality in PCAS patients by multifactorial Logistic regression analysis [odds ratio (OR) = 1.97, 95% confidence interval (95%CI) was 1.24-3.04]. The correlation between neurological score and mortality was the highest in subgroups (OR = 3.47, 95%CI was 1.04-11.52). The area under the ROC curve (AUC) predicted by SOFA score was 0.81 (95%CI was 0.73-0.89). When SOFA score cut-off value was 10.5 points (10 or 11 points), the sensitivity and specificity of SOFA score for predicting 28-day mortality in patients with PCAS were 67.0% and 82.1%, respectively. The SOFA score is quite accurate in predicting 28-day mortality in patients with PCAS.

Introduction: The study objective was to identify independent risk factors for 28-day mortality in patients who received appropriate antimicrobial therapy within 1 hour of septic shock recognition. Hypothesis: Differences exist in treatment modalities, as well as microbiologic and laboratory parameters, between septic shock patients who did and did not survive 28 days from septic shock recognition. Methods: Single-center retrospective cohort study of adult medical ICU patients with septic shock and microbiologic confirmation of infection. Included patients received appropriate antimicrobials within 1 hour of septic shock recognition. Assuming 20% mortality, for a binary predictor with 50% of patients per category there was 80% power to detect a 14% difference between groups. Univariable and multivariable logistic regression were performed to assess independent associations with mortality. Variables included in multivariable analysis were determined on the basis of clinical relevance using forward and stepwise selection. Results: A total 325 patients met inclusion criteria during the study timeframe. Full compliance with sepsis bundle resuscitation in the total cohort was 47% with 75 non-survivors at 28 days (23%). Severity of illness was similar between groups. Microbial isolates were most commonly from blood (57%) or urine (33%) with E. coli (27%) and S. aureus (22%) the most frequently identified pathogens. Predictors of mortality by multivariable analysis included continuous renal replacement therapy (CRRT [OR 4.48, CI 1.77-11.33; p<0.01]), vasopressor dependence beyond 6 hours of resuscitation (OR 2.56, CI 1.39-4.73; p<0.01) and infection site other than respiratory, urine, or blood (OR 2.27, CI 1.07-4.79; p=0.03). E. coli infection and use of piperacillin/tazobactam were associated with decreased mortality (OR 0.39, CI 0.19-0.83; p=0.01 and OR 0.53, CI 0.3-0.95; p=0.03, respectively). Conclusions: Independent predictors of 28-day mortality in septic shock patients receiving appropriate antibiotics for confirmed infection included CRRT, vasopressor dependence beyond 6 hours of resuscitation and infection site. E. coli infection and receipt of piperacillin/tazobactam significantly decreased mortality in the cohort.

BackgroundThe current study aimed to evaluate the relationship between the neutrophil-to-lymphocyte ratio (NLR) combined with interleukin (IL)-6 on admission day and the 28-day mortality of septic patients.Material and MethodsWe conducted an observational retrospective study. Patients with presumed sepsis were included. We observed the correlation of studied biomarkers (NLR, IL-6, PCT, and CRP) and the severity scores (APACHE II and SOFA scores) by plotting scatter plots. The relationships of the studied biomarkers and 28-day mortality were evaluated by using Cox regression model, receiver-operating characteristic (ROC) curve, and reclassification analysis.ResultsA total of 264 patients diagnosed with sepsis were enrolled. It was revealed that IL-6 had the strongest correlation with both APACHE II and SOFA scores, followed by the NLR and PCT, and there was no obvious correlation between CRP and the illness severity. NLR and IL-6 were independent predictors of the 28-day mortality in septic patients in the Cox regression model [NLR, odds ratio 1.281 (95% CI 1.159–1.414), P < 0.001; IL-6, odds ratio 1.017 (95% CI 1.005–1.028), P=0.004]. The area under the ROC curve (AUC) of NLR, IL-6 and NLR plus IL-6 (NLR_IL-6) was 0.776, 0.849, and 0.904, respectively.ConclusionOur study showed that the levels of NLR and IL-6 were significantly higher in the deceased patients with sepsis. NLR and IL-6 appeared to be independent predictors of 28-day mortality in septic patients. Moreover, NLR combined with IL-6 could dramatically enhance the prediction value of 28-day mortality.

ObjectivesTo evaluate the association between dyskalaemia and 30-day mortality in patients with sepsis and to determine whether potassium disturbances serve as independent prognostic markers in this population.MethodsThis retrospective cohort study included adult patients diagnosed with sepsis who were admitted to the emergency department of a tertiary hospital between January 1, 2022, and January 1, 2025. Serum potassium levels at admission were categorized as hypokalemia (< 3.5 mmol/L), normokalemia (3.5–5.0 mmol/L), and hyperkalemia (> 5.0 mmol/L). The primary outcome was 30-day all-cause mortality. Multivariate logistic regression was used to identify independent predictors of mortality, adjusting for confounders. A restricted cubic spline regression model was applied to assess the non-linear relationship between potassium levels and mortality.ResultsA total of 1,347 patients were included, of whom 305 (22.6%) died within 30 days. Both hypokalemia and hyperkalemia were significantly associated with increased mortality compared to normokalemia. Dyskalaemia was independently associated with mortality (OR = 2.10, 95% CI: 1.45–3.05, p < 0.001), and a U-shaped relationship was observed between potassium levels and mortality risk. The predictive model demonstrated good calibration (Hosmer-Lemeshow test, p = 0.584) and discrimination (AUROC = 0.840, 95% CI: 0.788–0.879).ConclusionsDyskalaemia was identified as an independent predictor of 30-day mortality in septic patients. These findings highlight the clinical relevance of potassium disturbances in early risk stratification. The observed U-shaped association between potassium levels and mortality supports the potential value of potassium as a prognostic marker. However, whether correcting dyskalaemia improves outcomes remains to be determined.