Sequential Organ Failure Assessment Score Research Articles

Predicting mortality of elderly patients undergoing open heart surgery with delirium using sequential organ failure assessment (SOFA), multi-organ dysfunction (MODS), and logistic organ dysfunction system (LODS) scores

PurposeThis study aims to assess the predictive accuracy of SOFA, MODS, and LODS scores in determining the mortality of elderly undergoing open heart surgery with delirium. MethodsA prospective study involved 111 elderly patients who met the inclusion criteria. Data were collected using scoring systems: SOFA, MODS, and LODS. ResultsUpon final follow-up, 86.5 % of the patients had recovered, 13.5 % had died. Sensitivity, specificity, negative, and positive predictive values for predicting mortality in elderly patients were calculated for the SOFA score as 99 %, 73 %, 98 %, and 76 %, respectively. For the MODS score, these values were 95 %, 60 %, 95 %, and 67 %; for the LODS score, they were 92 %, 73 %, 92 %, and 75 %, respectively. The overall accuracy of the three scores—SOFA, MODS, and LODS—was 84 %, 76 %, and 82 %, respectively. ConclusionThe results indicated that the SOFA score exhibited the highest sensitivity and specificity in predicting mortality among elderly individuals

A prospective study on prognostic value of hypocholestrolemia in sepsis

Background: Sepsis is a major cause of mortality in adult, non-coronary intensive care units (ICUs) and holds significant clinical importance. Multicentre prospective surveys have shown that 1% of hospitalized patients experience bacteraemia, with 0.3% suffering from bacteraemia with severe sepsis. These rates increase eightfold and thirtyfold, respectively, when ICU admissions are considered. Approximately 10% of ICU patients have sepsis, 6% have severe sepsis, and 2-3% experience septic shock. Aim: This study aimed to assess the dynamic changes in serum cholesterol levels in sepsis patients and evaluate whether these cholesterol levels correlate with prognosis using the Sequential Organ Failure Assessment (SOFA) score. Materials and methods: A comprehensive analysis was conducted over 18 months on 115 patients with sepsis. SOFA scores and lipid profiles were collected at ICU admission (day 0) and day 3. Patients were categorized into two groups based on their total cholesterol: Group A (<160 mg/dl) and Group B (>160 mg/dl). Statistical analysis was performed to examine differences. Results: The study found that 56.5% of patients had cholesterol <160 mg/dl (Group A) and 43.5% had >160 mg/dl (Group B). Significant differences in cholesterol and SOFA scores between groups were observed on days 0 and 3 (p < 0.001). Mortality was higher in Group B, indicating that hypocholesterolaemia is associated with increased mortality risk. Conclusion: This study suggests that monitoring cholesterol levels can serve as a prognostic tool in sepsis. An increasing cholesterol trend may indicate a better disease outcome.

Serum potassium levels and in-hospital mortality in distinct phenotypes of myocardial infarction patients by machine learning clustering

Abstract Background Abnormal serum potassium levels are associated with an increased risk of mortality in patients with myocardial infarction (MI); however, it is unclear whether the impact of potassium levels on mortality risk varies depending on the characteristics of MI patients. Purpose We aimed to classify MI patients according to their clinical characteristics and explore the relationship between potassium levels and in-hospital mortality in distinct clusters of MI. Methods Using Medical Information Mart for Intensive Care (MIMIC) IV database, we identified 3,159 patients who admitted for the first time to the intensive care unit with a primary diagnosis of acute MI. Machine learning clustering was performed on this population based on available clinical and laboratory data. Results Three distinct clusters of MI patients were identified using clustering analysis: 1,455 (46%) in cluster 1, 587 (19%) in cluster 2, and 1,117 (35%) in cluster 3. Patients in cluster 2 were older, had the highest comorbidity burden, Sequential Organ Failure Assessment (SOFA) score, peak lactate, creatinine, peak troponin, N-terminal B-type natriuretic peptide (NT-proBNP) levels and the lowest hemoglobin levels among the 3 clusters. Patients in cluster 3 were younger, had the lowest comorbidity burden, SOFA score, peak lactate, creatinine, NT-proBNP levels. Patients belonging to cluster 1 had clinical characteristics intermediate to those of cluster 2 and 3, except for the lowest troponin level. In-hospital mortality was highest in cluster 2, followed by cluster 1 and then cluster 3. Patients in cluster 2 had the highest in-hospital mortality risk with hypokalemia (OR 3.71, 95% 1.81­­-7.63) and patients in cluster 3 had highest in-hospital mortality risk with hyperkalemia (OR 2.77, 95% CI 0.84-9.06). Patients in cluster 1 did not exhibit a linearly increasing mortality with hyperkalemia. Conclusions The use of clustering analysis in patients with acute MI could characterize baseline clinical data into clinically distinct clusters with different in-hospital mortality across the dyskalemia continuum. The results suggest that the optimal range of potassium levels in patients with MI may vary depending on patient characteristics.Figure - clusteringTable - K and In-hospital mortality

Predicting High-Flow Nasal Cannula Oxygen Therapy Failure in Patients With Acute Hypoxaemic Respiratory Failure Using Machine Learning: Model Development and External Validation.

To develop and validate a prediction model for high-flow nasal cannula (HFNC) failure in patients with acute hypoxaemic respiratory failure (AHRF). AHRF accounts for a major proportion of intensive care unit (ICU) admissions and is associated with high mortality. HFNC is a non-invasive respiratory support technique that can improve patient oxygenation. However, HFNC failure, defined as the need for escalation to invasive mechanical ventilation, can lead to delayed intubation, prolonged mechanical ventilation and increased risk of mortality. Timely and accurate prediction of HFNC failure has important clinical implications. Machine learning (ML) can improve clinical prediction. Multicentre observational study. This study analysed 581 patients from an academic medical centre in Boston and 180 patients from Guangzhou, China treated with HFNC for AHRF. The Boston dataset was randomly divided into a training set (90%, n = 522) and an internal validation set (10%, n = 59), and the model was externally validated using the Guangzhou dataset (n = 180). A random forest (RF)-based feature selection method was used to identify predictive factors. Nine machine learning algorithms were selected to build the predictive model. The area under the receiver operating characteristic curve (AUC) and performance evaluation parameters were used to evaluate the models. The final model included 38 features selected using the RF method, with additional input from clinical specialists. Models based on ensemble learning outperformed other models (internal validation AUC: 0.83; external validation AUC: 0.75). Important predictors of HFNC failure include Glasgow Coma Scale scores and Sequential Organ Failure Assessment scores, albumin levels measured during HFNC treatment, ROX index at ICU admission and sepsis. This study developed an interpretable ML model that accurately predicts the risk of HFNC failure in patients with AHRF. Clinicians and nurses can use ML models for early risk assessment and decision support in AHRF patients receiving HFNC. TRIPOD checklist for prediction model studies was followed in this study. Patients were involved in the sample of the study.

Organ perfusion pressure: a significant predictor of outcomes in cardiogenic shock

Abstract Background Cardiogenic shock (CS) is an ominous condition with a high mortality rate. The diagnosis of CS relies upon signs and/or symptoms of end-organ hypoperfusion. However, the combination of hypoperfusion and systemic congestion poses a serious risk and significantly increases mortality rates in critically ill patients. Purpose This study evaluated organ perfusion pressure (OPP), calculated as mean arterial pressure (MAP) minus central venous pressure (CVP), as a predictor of outcomes in CS. Methods All consecutive patients with CS related to acute myocardial infarction (AMI-CS) or acutely decompensated heart failure (ADHF-CS) enrolled in the multicenter Altshock-2 registry between January 2020 and November 2023 were selected. Only patients with both OPP and primary endpoint data available were included in the analysis. The primary outcome was in-hospital all-cause mortality. Results 316 patients fulfilled the inclusion criteria (mean age: 64±13 years, 62 [20%] females, mean left ventricular ejection fraction: 24%±10%, mean MAP: 71±16 mmHg, mean CVP: 12±6 mmHg). Mean OPP was 59.1±17.3 mmHg. In-hospital all-cause death occurred in 117 (37%) patients. In univariable analysis, higher OPP was associated with a significantly lower risk of in-hospital all-cause death both as a continuous variable (HR 0.981 per mmHg [95%CI 0.969-0.993], p-value=0.003) and dichotomized (HR 0.522 [95%CI 0.354-0.770], p-value=0.001) according to the optimal cut-off value of 59.5 mmHg identified by receiver operating characteristic curve analysis (specificity 66.4%, sensitivity 53.8%, area under the curve 0.61). OPP greater than 59.5 mmHg predicted significantly reduced risk of in-hospital all-cause death among ADHF-CS patients (HR 0.315 [95%CI 0.151-0.660], p-value=0.002), but not among AMI-CS patients (HR 0.628 [95%CI 0.392-1.007], p-value=0.054). After multivariable adjustment for significant clinical data available at first bedside assessment, namely age and Sequential Organ Failure Assessment score, higher OPP still predicted significantly lower risk of in-hospital all-cause death (HR 0.984 [95%CI 0.972-0.996], p-value=0.010). In univariable analysis, OPP was also associated with significantly increased long-term overall survival (p-value<0.001), but not with worsening renal function at 24 hours after CS onset, in-hospital length of stay or the composite of left ventricular assist device implantation or heart transplantation. Conclusions In this multicenter, observational, prospective study of patients hospitalized for CS, higher OPP on admission was associated with a significantly reduced risk of in-hospital all-cause death.

Mortality of patients with sepsis in intensive care units at tertiary hospitals in Jordan: Prospective cohort study.

The aim of this study was to describe the 30-day mortality rate of adult patients with sepsis and septic shock in 6 intensive care units of 2 tertiary hospitals in Jordan. A prospective cohort design was used. Patients with sepsis and septic shock admitted to the medical and surgical intensive care units at 2 tertiary hospitals were followed up during the period between February 2022 and June 2022 (N = 148). Data were analyzed using SPSS, version 23. Moreover, descriptive statistics, chi-square, and binary logistic regression were used. Notably, 52.7% of patients with sepsis and septic shock died within 30 days of diagnosis of sepsis and septic shock. Sequential Organ Failure Assessment score and the history of having solid tumors significantly predicted the 30-day mortality rate. Moreover, 43 (29.0%) patients with sepsis and septic shock had positive blood cultures, and 46 (31.0%) had positive urine cultures. Patients with sepsis and septic shock have a notable mortality rate that can be predicted from total Sequential Organ Failure Assessment scores and from the history of having solid tumors. Early assessment and initiation of treatment for sepsis essentially would reduce the likelihood of progression of sepsis to septic shock and would reduce associated patients' mortality.

Construction of Survival Nomogram for Ventilator-Associated Pneumonia Patients: Based on MIMIC Database.

Objective: To construct and validate a predictive nomogram model for the survival of patients with ventilator-associated pneumonia (VAP) to enhance prediction of 28-day survival rate in critically ill patients with VAP. Methods: A total of 1,438 intensive care unit (ICU) patients with VAP were screened through Medical Information Mart for Intensive Care (MIMIC)-IV. On the basis of multi-variable Cox regression analysis data, nomogram performance in predicting survival status of patients with VAP at ICU admission for 7, 14, and 28 days was evaluated using the C-index and area under the curve (AUC). Calibration and decision curve analysis curves were generated to assess clinical value and effectiveness of model, and risk stratification was performed for patients with VAP. Result: Through stepwise regression screening of uni-variable and multi-variable Cox regression models, independent prognostic factors for predicting nomogram were determined, including age, race, body temperature, Sequential Organ Failure Assessment score, anion gap, bicarbonate concentration, partial pressure of carbon dioxide, mean corpuscular hemoglobin, and liver disease. The model had C-index values of 0.748 and 0.628 in the train and test sets, respectively. The receiver operating characteristic curve showed that nomogram had better performance in predicting 28-day survival status in the train set (AUC = 0.74), whereas it decreased in the test set (AUC = 0.66). Calibration and decision curve analysis curve results suggested that nomogram had favorable predictive performance and clinical efficacy. Kaplan-Meier curves showed significant differences in survival between low, medium, and high-risk groups in the total set and training set (log-rank p < 0.05), further validating the effectiveness of the model. Conclusion: The VAP patient admission ICU 7, 14, and 28-day survival prediction nomogram was constructed, contributing to risk stratification and decision-making for such patients. The model is expected to play a positive role in supporting personalized treatment and management of VAP.

Characteristics and outcomes of patients screened by the rapid response team and transferred to intensive care unit in South Korea

The rapid response system (RRS) is associated with a reduction in in-hospital mortality. This study aimed to determine the characteristics and outcomes of patients transferred to the intensive care unit (ICU) by a rapid response team (RRT). This retrospective, multicenter cohort study included patients from nine hospitals in South Korea. Adult patients who were admitted to the general ward (GW) and required RRS activation were included. Patients with do-not-resuscitate orders and without lactate level or Sequential Organ Failure Assessment score were excluded. A total of 8228 patients were enrolled, 3379 were transferred to the ICU. The most common reasons for RRT activation were respiratory distress, sepsis and septic shock. The number of patients who underwent interventions, the length of hospital stays, 28-day mortality, and in-hospital mortality were higher in the ICU group than in the GW group. Factors that could affect both 28-day and in-hospital mortality included the severity score, low PaO2/FiO2 ratio, higher lactate and C-reactive protein levels, and hospitalization time prior to RRT activation. Patients admitted to the ICU after RRT activation generally face more challenging clinical situations, which may affect their survival outcomes.

Angiopoietin II in Critically Ill Septic Patients: A Post Hoc Analysis of the DRAK Study

Introduction: Angiopoietin II (Ang-II) plays a pivotal role in the development of microcirculatory dysfunction as it provokes endothelial barrier disruption in patients with sepsis or septic shock. In particular, those with acute kidney injury show high Ang-II concentrations. So far, it is unclear which covariates influence Ang-II concentration in the early phase of sepsis, especially if extracorporeal therapies also do. Methods: Ang-II concentrations were measured in 171 patients with sepsis after the first day of antibiotic treatment between 03/2013 and 01/2015. Ang-II was correlated with potential influencing factors (Spearman correlation). A multivariate model was established including the significant correlating parameters. The Mann–Whitney U test and the Kruskal–Wallis test were used to detect significant differences in Ang-II concentration. Results: The median Ang-II concentration was 8015 pg/mL (interquartile range (IQR): 5024–14,185). A total of forty patients were treated with kidney replacement therapy (KRT) and 20 were supported by venovenous extracorporeal membrane oxygenation (vv-ECMO). Sequential organ failure assessment (SOFA) score (r = 0.541), creatinine clearance (r = −0.467), urinary output (r = −0.289), interleukin (IL)-6 (r = 0.529), C-reactive protein (CRP) (r = 0.241), platelet count (r = −0.419), bilirubin (r = 0.565), lactate (r = 0.322), KRT (r = 0.451), and fluid balance (r = 0.373) significantly correlated with Ang-II concentration and were included in the multivariate model. There, creatinine clearance (p &lt; 0.01, b = −26.3, 95% confidence interval (CI) −41.8–−10.8), fluid balance (p = 0.002, b = 0.92, 95% CI 0.33–1.51), and CRP (p = 0.004, b = 127.6, 95% CI 41.6–213.7) were associated with Ang-II concentration. Furthermore, patients with KRT (median: 15,219 pg/mL, IQR: 10,548–20,270) had significantly (p &lt; 0.01) higher Ang-II concentrations than those with vv-ECMO support (median: 6412 pg/mL, IQR: 5246–10,257) or those without extracorporeal therapy (median: 7156 pg/mL, IQR: 4409–12,741). Conclusion: Increased CRP, positive fluid balance, and impaired kidney function were associated with higher Ang-II concentrations in critically ill patients in the early stage of sepsis in this post hoc analysis. In particular, patients with KRT had very high Ang-II concentrations, whereas the use of vv-ECMO was not related to higher Ang-II concentrations. The significance for clinical practice should be clarified by a prospective study with standardized measurements.

Association between estimated pulse wave velocity and the risk of mortality in patients with subarachnoid hemorrhage: a retrospective cohort study based on the MIMIC database

BackgroundThe estimated pulse wave velocity (ePWV) is a recently developed, simple and useful tool to measure arterial stiffness and to predict long-term cardiovascular mortality. However, the association of ePWV with mortality risk in patients with subarachnoid hemorrhage (SAH) is unclear. Herein, this study aims to assess the potential prediction value of ePWV on short- and long-term mortality of SAH patients.MethodsData of adult patients with no traumatic SAH were extracted from the Medical Information Mart for Intensive Care (MIMIC) III and IV database in this retrospective cohort study. Weighted univariate and multivariable Cox regression analyses were used to explore the associations of ePWV levels with 30-day mortality and 1-year mortality in SAH patients. The evaluation indexes were hazard ratios (HRs) and 95% confidence intervals (CIs). In addition, subgroup analyses of age, the sequential organ failure assessment (SOFA) score, surgery, atrial fibrillation (AF), renal failure (RF), hepatic diseases, chronic obstructive pulmonary disease (COPD), sepsis, hypertension, and diabetes mellitus (DM) were also performed.ResultsAmong 1,481 eligible patients, 339 died within 30 days and 435 died within 1 year. After adjusting for covariates, ePWV ≥ 12.10 was associated with higher risk of both 30-day mortality (HR = 1.77, 95%CI: 1.17–2.67) and 1-year mortality (HR = 1.97, 95%CI: 1.36–2.85), compared to ePWV < 10.12. The receiver operator characteristic (ROC) curves showed that compared to single SOFA score, ePWV combined with SOFA score had a relative superior predictive performance on both 30-day mortality and 1-year mortality, with the area under the curves (AUCs) of 0.740 vs. 0.664 and 0.754 vs. 0.658. This positive relationship between ePWV and mortality risk was also found in age ≥ 65 years old, SOFA score < 2, non-surgery, non-hepatic diseases, non-COPD, non-hypertension, non-DM, and sepsis subgroups.ConclusionBaseline ePWV level may have potential prediction value on short- and long-term mortality in SAH patients. However, the application of ePWV in SAH prognosis needs further clarification.

Short-term and long-term outcomes of critically ill patients with solid malignancy: a retrospective cohort study.

With the global increase in patients with solid malignancies, it is helpful to understand the outcomes of intensive care unit (ICU) admission for these patients. This study evaluated the risk factors for ICU mortality and the shortand long-term outcomes in patients with solid malignancies who had unplanned ICU admission. This retrospective cohort study included patients with solid malignancies treated at the medical ICU of a single tertiary center in South Korea between 2016 and 2022. Among the 955 patients, the ICU mortality rate was 23.5%. Lung cancer was the most common cancer type (34.2%) and was significantly associated with increased ICU mortality (odd ratio [OR] 1.58, p = 0.030). Higher Sequential Organ Failure Assessment scores at ICU admission (OR 1.11, p < 0.001), the need for mechanical ventilation (OR 6.74, p < 0.001), or renal replacement therapy during the ICU stay (OR 2.49, p < 0.001) were significantly associated with higher ICU mortality. The 1-year survival rate after ICU admission was 29.3%, with a median survival of 37 days for patients requiring mechanical deviaventilation, and 23 days for patients requiring renal replacement therapy. This study showed that critically ill patients with solid malignancies had poor 1-year survival despite relatively low ICU mortality. These findings highlight the need for careful consideration of ICU admission in patients with solid malignancy, and decision-making should be based on an understanding of the expected short- and long-term prognosis of ICU admission after an informed discussion among patients, families, and physicians.

Scoring model for the diagnosis of colorectal perforation and its differentiation from gastroduodenal perforation.

Distinguishing colorectal from gastroduodenal perforations is clinically important and challenging. We aimed to establish a scoring model based on objective findings (excluding computed tomography findings) for the diagnosis of colorectal perforation and its differentiation from gastroduodenal perforation. Patients diagnosed with colorectal or gastroduodenal perforations between January 2014 and December 2021 were retrospectively studied. Univariate and multivariate analyses were performed to identify independent variables, and a scoring model was developed based on these variables. Among 131 eligible patients, 64 (48.9%) were in the colorectal group and 67 (51.1%) were in the gastroduodenal group. White blood cell count, C-reactive protein, and quick Sequential Organ Failure Assessment score were identified as independent clinical variables associated with the diagnosis of colorectal perforation, which differentiated colorectal perforation from gastroduodenal perforation, and were used to develop a new scoring model. The scores ranged from 0 to 5, with an area under the receiver operating characteristic curve of 0.846. The probabilities of colorectal perforation with scores of 0, 1.5, 2, 3, 3.5, and 5 were 3.2, 20, 55.6, 81.8, 73.9, and 82.4%, respectively. The new scoring model may help in treatment selection and perioperative management of patients with gastrointestinal perforation.

Procalcitonin-Guided Management and Duration of Antibiotic Therapy in Critically Ill Cancer Patients With Sepsis (Pro-Can Study): A Randomized Controlled Trial.

To evaluate the effect of procalcitonin-guided management on the duration of antibiotic therapy in critically ill cancer patients with sepsis. Randomized, controlled, single-blinded trial. A comprehensive multidisciplinary cancer hospital in Jordan. Adults with cancer treated in the ICU who were started on antibiotics for suspected infection, met the SEPSIS-3 criteria, and were expected to stay in the ICU greater than or equal to 48 hours. Patients were randomized to the procalcitonin-guided or standard care (SC) arms. All patients had procalcitonin measured daily, up to 5 days or until ICU discharge or death. For the procalcitonin arm, a procalcitonin-guided algorithm was provided to guide antibiotic management, but clinicians were allowed to override the algorithm, if clinically indicated. In the SC arm, ICU clinicians were blinded to the procalcitonin levels. Primary outcome was time to antibiotic cessation. We also evaluated the number of antibiotic-free days at 28 days, hospital discharge, or death, whichever came first, and antibiotic defined daily doses (DDDs). We enrolled 77 patients in the procalcitonin arm and 76 in the SC arm. Mean age was 58 ± 14 (sd) years, 67% were males, 74% had solid tumors, and 13% were neutropenic. Median (interquartile range [IQR]) Sequential Organ Failure Assessment scores were 7 (6-10) and 7 (5-9) and procalcitonin concentrations (ng/mL) at baseline were 3.4 (0.8-16) and 3.4 (0.5-26), in the procalcitonin and SC arms, respectively. There was no difference in the median (IQR) time to antibiotic cessation in the procalcitonin and SC arms, 8 (4-11) and 8 (5-13), respectively (p = 0.463). Median (IQR) number of antibiotic-free days were 20 (17-24) and 20 (16-23), (p = 0.484) and total DDDs were 1541.4 and 2050.4 in the procalcitonin and SC arms, respectively. In critically ill cancer patients with sepsis, procalcitonin-guided management did not reduce the duration of antibiotic treatment.

Senolytics To slOw Progression of Sepsis (STOP-Sepsis) in elderly patients: Study protocol for a multicenter, randomized, adaptive allocation clinical trial

BackgroundSenescent immune cells exhibit altered gene expression and resistance to apoptosis. The prevalence of these cells increases with age and emerging data implicate senescence-associated maladaptive signaling as a potential contributor to sepsis and septic shock. The senolytic drug fisetin promotes clearance of senescent cells and is hypothesized to mitigate septic responses to infection.MethodsWe are conducting a multi-center, randomized, double-blinded, adaptive allocation phase 2 clinical trial to assess the efficacy of the senolytic drug fisetin in preventing clinical deterioration of elderly patients diagnosed with sepsis. We intend to enroll and randomize 220 elderly patients (age > 65) with the clinical diagnosis of sepsis to receive either fisetin as a single oral dose of 20 mg/kg, fisetin in two oral doses of 20 mg/kg each spaced 1 day apart, or placebo. The primary outcome will be changed in the composite of cardiovascular, respiratory, and renal sequential organ failure assessment scores at 7 days from enrollment. Secondary outcomes include quantification of senescent CD3 + cells at 7 days, and 28-day assessments of organ failure-free days, days in an intensive care unit, and all-cause mortality.DiscussionThis multi-center, randomized, double-blinded trial will assess the efficacy of fisetin in preventing clinical deterioration in elderly patients with sepsis and measure the effects of this drug on the prevalence of senescent immune cells. We intend that the results of this phase 2 trial will inform the design of a larger phase 3 study.Trial registrationThis trial is registered to ClinicalTrials.gov under identifier NCT05758246, first posted on March 7, 2023.

Multiple organ failure following severe battle injuries during recent conflicts: a French retrospective cohort study.

Improvements in combat casualty care have increased survival rates, but these patients are at particular risk of developing multiple organ failure (MOF). We investigated the incidence and severity of MOF in a cohort of severe combat casualties. This retrospective study included all on-duty French land army war casualties with a severe combat injury requiring intensive care unit admission during 2009-2023. Demographic data, advanced life support interventions, and outcomes were collected. Each organ failure was then analyzed during a 7-day trauma course according to the Sequential Organ Failure Assessment (SOFA) score. Of the 100 patients who met the inclusion criteria, those with persistent MOF at day 4 (MOF group) represented 22% of the total population (median SOFA score 6.0 [5.3-8.0]). Compared to those without persistent MOF, these patients were more severely injured (median Military Injury Severity Score 38.0 [interquartile range 33.0-56.8] vs 26.5 [20.0-34.0], p < 0.001) by an explosive mechanism (68.2%) and sustained more traumatic brain injury (TBI; 40.9% vs 14.1%, p = 0.013). The MOF group also received significantly more blood units (median 14.0 [8.3-24.8] vs 6.0 [0.0-12.0], p < 0.001) and massive transfusions (68.2% vs 32.1%, p = 0.002). Pulmonary and cardiovascular dysfunction were the most frequently observed trauma outcomes. A multivariable logistic regression model showed that MOF persistence at day 4 was significantly associated (odds ratios [95% confidence intervals]) with severe injuries (1.5 [1-2.3], p = 0.042). A high number of severe lesions significantly and independently increased risk of MOF persistence at day 4 after combat-related trauma. These findings are particularly relevant to current and anticipated large-scale combat operations that will challenge battlefield casualty care and evacuation.

Risk factors for postoperative acute kidney injury after radical cystectomy for bladder cancer in the era of ERAS protocols: A retrospective observational study.

Radical cystectomy (RC) is a major surgery associated with a high morbidity rate. Perioperative fluid management according to enhanced recovery after surgery (ERAS) protocols aims to maintain patients in an optimal euvolemic state while exposing them to acute kidney injury (AKI) in the event of hypovolemia. Postoperative AKI is associated with severe morbidity and mortality. Our main objective was to determine the association between perioperative variables, including some component of ERAS protocols, and occurrence of postoperative AKI within the first 30 days following RC in patients presenting bladder cancer. Our secondary objective was to evaluate the association between a postoperative AKI and the occurrence or worsening of a chronic kidney disease (CKD) within the 2 years following RC. We conducted a retrospective observational study in a referral cancer center in France on 122 patients who underwent an elective RC for bladder cancer from 01/02/2015 to 30/09/2019. The primary endpoint was occurrence of AKI between surgery and day 30. The secondary endpoint was survival without occurrence or worsening of a postoperative CKD. AKI and CKD were defined by KDIGO (Kidney Disease: Improving Global Outcomes) classification. Logistic regression analyse was used to determine independent factors associated with postoperative AKI. Fine and Gray model was used to determine independent factors associated with postoperative CKD. The incidence of postoperative AKI was 58,2% (n = 71). Multivariate analysis showed 5 factors independently associated with postoperative AKI: intraoperative restrictive vascular filling < 5ml/kg/h (OR = 4.39, 95%CI (1.05-18.39), p = 0.043), postoperative sepsis (OR = 4.61, 95%CI (1.05-20.28), p = 0.043), female sex (OR = 0.11, 95%CI (0.02-0.73), p = 0.022), score SOFA (Sequential Organ Failure Assessment) at day 1 (OR = 2.19, 95%CI (1.15-4.19), p = 0.018) and delta serum creatinine D1 (OR = 1.06, 95%CI (1.02-1.11), p = 0.006). During the entire follow-up, occurrence or worsening of CKD was diagnosed in 36 (29.5%). A postoperative, AKI was strongly associated with occurrence or worsening of a CKD within the 2 years following RC even after adjustment for confounding factors (sHR = 2.247, 95%CI [1.051-4.806, p = 0.037]). A restrictive intraoperative vascular filling < 5ml/kg/h was strongly and independently associated with the occurrence of postoperative AKI after RC in cancer bladder patients. In this context, postoperative AKI was strongly associated with the occurrence or worsening of CKD within the 2 years following RC. A personalized perioperative fluid management strategy needs to be evaluated in these high-risk patients.

Outcome of patients with solid malignancies considered for intensive care unit admission: a single-center prospective cohort study.

To identify the predictors and outcomes of ICU triage decisions in patients with solid malignancies (SM) and to investigate the usefulness of the National Early Warning Score (NEWS) and quick Sequential Organ Failure Assessment (qSOFA) score at triage. All patients with SM for whom ICU admission was requested between July 2019 and December 2021 in a French university-affiliated hospital were included prospectively. Of the 6262 patients considered for ICU admission, 410 (6.5%) had SM (age, 66 [58-73] years; metastases, 60.1%; and performance status 0-2, 81%). Of these 410 patients, 176 (42.9%) were admitted to the ICU, including 141 (80.1%) subsequently discharged alive. Breast cancer, hemoptysis, and pneumothorax were associated with ICU admission; whereas older age, performance status 3-4, metastatic disease, and request at night were associated with denial of ICU admission. The NEWS, and the qSOFA score in patients with suspected infection, determined at triage performed poorly for predicting hospital mortality (area under the receiver operating characteristics curve, 0.52 and 0.62, respectively). Performance status 3-4 was independently associated with higher 6-month mortality and first-line anticancer treatment with lower 6-month mortality. Hospital mortality was 33.3% in patients admitted to the ICU after refusal of the first request. Patients with SM were frequently denied ICU admission despite excellent in-ICU survival. Poor performance status was associated with ICU admission denial and higher 6-month mortality, but none of the other reasons for denying ICU admission predicted 6-month mortality. Physiological scores had limited usefulness in this setting.

The association between early postoperative food intake and postoperative hospital length of stay in patients undergoing cardiac surgery: A retrospective observational single-center study

Background & AimsPerioperative nutritional status is critical during the postoperative recovery process in patients undergoing cardiac surgery. Several studies on patients undergoing cardiac surgery have reported low energy intake in early postoperative food intake via oral nutrition; however, no study has shown an association of low energy intake with postoperative hospital length of stay (LOS). This study aimed to determine whether early postoperative low food intake was associated with prolonged postoperative hospital LOS in patients undergoing cardiac surgery. MethodsThis was a retrospective, observational, single-center study conducted in patients aged ≥18 years undergoing elective cardiac surgery from January 1, 2020, to May 31, 2023. Patients were categorized by food intake as food intake < 50% (low food intake group) and ≥ 50% (adequate food intake group) at lunch on postoperative day (POD) 3. The primary outcome of this study was the postoperative hospital LOS. A generalized linear model was used to examine the association between food intake and postoperative hospital LOS using the following explanatory variables: age, European System for Cardiac Operative Risk Evaluation (EuroSCORE) II value, preoperative risk of malnutrition, activities of daily living status, Sequential Organ Failure Assessment score, and C-reactive protein level. ResultsOf the 315 patients, 104 (33.0%) had a food intake of <50% on POD3. There were no significant differences in age, sex, EuroSCORE II value, and comorbidities between the two groups. Patients in the low-food intake group had a significantly lower Barthel Index (6.7% vs. 1.4%, p = 0.017) and a higher malnutrition risk according to the Mini Nutritional Assessment Short Form score (40.4% vs. 28.2%, p = 0.043). Food intake of <50% on POD3 was associated with prolonged postoperative hospital LOS (β = 1.135 [95% confidence interval: 1.004–1.262], p = 0.018). ConclusionsLow food intake on POD3 is associated with prolonged postoperative hospital LOS in patients undergoing elective cardiac surgery. Early postoperative food intake should be closely monitored in patients after elective cardiac surgery.

Parameters of leukopoiesis and thrombocytopenia in early urosepsis as potential predictors of a lethal outcome in hospitalized patients

Aim. To perform a comparative analysis of leukopoiesis parameters and platelet count in peripheral blood with evaluation of their changes in the first 48 hours from urosepsis (US) verification in hospitalized patients depending on the outcome of the disease.Materials and methods. A retrospective comparative study included 40 patients with US divided into a group of deceased (n = 10) and a group of recovered (n = 30) individuals. Along with a full clinical and paraclinical examination, which is a routine practice in the urology clinic in case of suspected (confirmed) sepsis, we performed a differentiated assessment of leukopoiesis and platelet count in peripheral blood at baseline (at the moment of US verification) and 48 hours after US verification. The assessment included determination of the immature granulocyte count, investigation of neutrophil granularity intensity (NEUT-GI) and neutrophil reactivity intensity (NEUT-RI), and measurement of the mean platelet volume (MPV).Results. The baseline level of organ dysfunction graded by the SOFA (Sequential Organ Failure Assessment) score was significantly higher in deceased patients than in survivors (6 points vs. 3 points, respectively; p = 0.001). The group of the deceased was characterized by lower platelet and monocyte levels. The ROC analysis with the calculation of area under the curve (AUC) identified the following potential predictors of a lethal outcome in US: proportion of monocytes from the total leukocyte count at baseline ≤ 5.5% (AUC 0.732, p = 0.032), proportion of eosinophils from the total leukocyte count at baseline ≤ 0% (AUC 0.756, p = 0.011), absolute eosinophil count at baseline ≤ 0.01 × 109 / l (AUC 0.802, p = 0.009), absolute basophil count at baseline ≤ 0.03 × 109 / l (AUC 0.718, p = 0.028), NEUT-GI at baseline ≤ 153.2 scatter intensity (SI) units (AUC 0.754, p = 0.021), NEUT-RI at baseline ≤ 59.3 SI units (AUC 0.737, p = 0.024) and their increase after 48 hours by &gt; 0.9 SI units (AUC 0.852, p = 0.001) or by &gt; 1.34% (AUC 0.844, p = 0.003), platelet count at baseline ≤ 144 × 109 / l (AUC 0.762, p = 0.007) and after 48 hours ≤ 174 × 109 / l (AUC 0.769, p &lt; 0.007).Conclusion. The assessment of the platelet count and leukopoiesis parameters, including the ones characterizing neutrophil maturation (NEUT-RI, NEUT-GI), in the first 48 hours from US verification, can be effective predictors of a lethal outcome in patients with US.

Elevated Cardiac Troponin Levels as a Predictor of Increased Mortality Risk in Non-Cardiac Critically Ill Patients Admitted to a Medical Intensive Care Unit.

Background: Cardiac troponin I (TnI) is a specific marker of myocardial damage used in the diagnosis of acute coronary syndrome (ACS). TnI levels can also be elevated in patients without ACS, which is linked to a worse prognosis and mortality. We evaluated the clinical implications and prognostic significance of serum TnI levels in critically ill non-cardiac patients admitted to the intensive care unit (ICU) at a tertiary-level hospital. Materials and Methods: A three-year retrospective study including the years 2017-2020 was conducted to evaluate in-hospital mortality during ICU stay and mortality rates at 28 and 90 days, as well as one and two years after admission, in 557 patients admitted to the medical ICU for non-cardiac causes. Results: TnI levels were elevated in 206 (36.9%) patients. Patients with elevated TnI levels were significantly older and had higher rates of comorbidities, including chronic heart failure, coronary heart disease, and chronic kidney disease (p < 0.05 for all). Patients with elevated TnI levels required more invasive mechanical ventilation, vasopressor infusion, and dialysis in the ICU and experienced more shock within the first 72 h (p = 0.001 for all). High TnI levels were associated with higher Acute Physiological and Chronic Health Evaluation (APACHE) II (27.6 vs. 20.3, p = 0.001) and Sequential Organ Failure assessment (8.8 vs. 5.26, p = 0.001) scores. Elevated TnI levels were associated with higher mortality rates at 28 days (58.3% vs. 19.4%), 90 days (69.9% vs. 35.0%), one year (78.6% vs. 46.2%), and two years (82.5% vs. 55.6%) (p < 0.001 for all). Univariate logistic regression analysis revealed that high TnI levels were a strong independent predictor of mortality at all time points: 28 days (OR = 1.2, 95% CI: 1.108-1.3, p < 0.001), 90 days (OR = 1.207, 95% CI: 1.095-1.33, p = 0.001), one year (OR = 1.164, 95% CI: 1.059-1.28, p = 0.002), and two year (OR = 1.119, 95% CI: 1.026-1.22, p = 0.011). Multivariate analysis revealed that age, albumin level, APACHE II score, and requirements for dialysis and vasopressor use in the ICU were important predictors of mortality across all timeframes, but elevated TnI levels were not. Conclusions: Elevated TnI levels in critically ill non-cardiac patients are markers of disease severity. While elevated TnI levels were significant predictors of mortality in the univariate analysis, they lost significance in the multivariate model when adjusted for other factors. Patients with elevated TnI levels had higher mortality rates across all timeframes, from 28 days to two years.