Treatment of multidrug-resistant Gram-negative bloodstream infections in critically ill patients: an update.

PURPOSE OF REVIEW: This review describes the latest information in the management of bloodstream infections caused by multidrug-resistant Gram-negative bacilli (MDRGNB) in critically ill patients. RECENT FINDINGS: The prevalence of bloodstream infections due to MDRGNB is high, and they pose a significant risk in critically ill patients. Recently, novel antimicrobial agents, including new ß-lactam/ß-lactamase inhibitor combinations and cefiderocol, have been introduced for treating these infections. Concurrently, updated guidelines have been issued to aid in treatment decisions. Prompt diagnosis and identification of resistance patterns are crucial for initiating effective antibiotic therapy. Current studies, especially with observational design, and with limited sample sizes and patients with bacteremia, suggest that the use of these new antibiotics is associated with improved outcomes in critically ill patients with MDRGNB bloodstream infections. SUMMARY: For critically ill patients with bloodstream infections caused by MDRGNB, the use of newly developed antibiotics is recommended based on limited observational evidence. Further randomized clinical trials are necessary to determine the most effective antimicrobial therapies among the available options.

Redefining urine output thresholds for acute kidney injury criteria in critically Ill patients: a derivation and validation study.

INTRODUCTION: The current definition of acute kidney injury (AKI) includes increased serum creatinine (sCr) concentration and decreased urinary output (UO). Recent studies suggest that the standard UO threshold of 0.5 ml/kg/h may be suboptimal. This study aimed to develop and validate a novel UO-based AKI classification system that improves mortality prediction and patient stratification. METHODS: Data were obtained from the MIMIC-IV and eICU databases. The development process included (1) evaluating UO as a continuous variable over 3-, 6-, 12-, and 24-h periods; (2) identifying 3 optimal UO cutoff points for each time window (stages 1, 2, and 3); (3) comparing sensitivity and specificity to develop a unified staging system; (4) assessing average versus persistent reduced UO hourly; (5) comparing the new UO-AKI system to the KDIGO UO-AKI system; (6) integrating sCr criteria with both systems and comparing them; and (7) validating the new classification with an independent cohort. In all these steps, the outcome was hospital mortality. Another analyzed outcome was 90-day mortality. The analyses included ROC curve analysis, net reclassification improvement (NRI), integrated discrimination improvement (IDI), and logistic and Cox regression analyses. RESULTS: From the MIMIC-IV database, 35,845 patients were included in the development cohort. After comparing the sensitivity and specificity of 12 different lowest UO thresholds across four time frames, 3 cutoff points were selected to compose the proposed UO-AKI classification: stage 1 (0.2-0.3 mL/kg/h), stage 2 (0.1-0.2 mL/kg/h), and stage 3 (< 0.1 mL/kg/h) over 6 h. The proposed classification had better discrimination when the average was used than when the persistent method was used. The adjusted odds ratio demonstrated a significant stepwise increase in hospital mortality with advancing UO-AKI stage. The proposed classification combined or not with the sCr criterion outperformed the KDIGO criteria in terms of predictive accuracy-AUC-ROC 0.75 (0.74-0.76) vs. 0.69 (0.68-0.70); NRI: 25.4% (95% CI: 23.3-27.6); and IDI: 4.0% (95% CI: 3.6-4.5). External validation with the eICU database confirmed the superior performance of the new classification system. CONCLUSION: The proposed UO-AKI classification enhances mortality prediction and patient stratification in critically ill patients, offering a more accurate and practical approach than the current KDIGO criteria.

Transthyretin and Nutritional Status in Critically Ill Adults on Parenteral Nutrition: A Prospective Cohort Study.

BACKGROUND AND AIMS: Correctly characterizing malnutrition is a challenge. Transthyretin (TTR) rapidly responds to adequate protein intake/infusion, which could be used as a marker to identify malnutrition. Nutritional therapy is used to prevent malnutrition. Parenteral nutrition (PN) requires daily monitoring to determine whether what is being offered is adequate. This article aims to investigate whether the practice of measuring TTR is justified. METHODS: Data from patients admitted to the ward or intensive care unit (ICU) were collected at three different times: within the first 72 h (T1) of PN use, on the 7th day (T2), and the 14th day (T3) after the initial assessment. RESULTS: 302 patients were included; the average age was 48.3 years old; the prevalence of death was 22.2%, and 61.6% of the sample were male. TTR values and the effectiveness of nutritional support in these patients were not associated with the outcome; however, meeting caloric needs was related to the outcome (p = 0.047). No association was found when TTR values were compared to the nutritional status. Thus, TTR was not a good indicator of nutritional risk or nutritional status in hospitalized patients. CONCLUSIONS: Undoubtedly, the TTR measurement was inversely proportional to CRP measurements. It was possible to conclude in this follow-up cohort of hospitalized patients that TTR values were not useful for determining whether the patient was malnourished, predicting death or effectiveness of nutritional support, yet based upon our analyses, a decrease in TTR greater than 0.024 units for every 1 unit increase in CRP might be due to ineffective nutritional supply.

Central venous pressure waveform analysis during sleep/rest: a novel approach to enhance intensive care unit post-extubation monitoring of extubation failure.

This pilot study aimed to investigate the relation between cardio-respiratory parameters derived from Central Venous Pressure (CVP) waveform and Extubation Failure (EF) in mechanically ventilated ICU patients during post-extubation period. This study also proposes a new methodology for analysing these parameters during rest/sleep periods to try to improve the identification of EF. We conducted a prospective observational study, computing CVP-derived parameters including breathing effort, spectral analyses, and entropy in twenty critically ill patients post-extubation. The Dynamic Warping Index (DWi) was calculated from the respiratory component extracted from the CVP signal to identify rest/sleep states. The obtained parameters from EF patients and patients without EF were compared both during arbitrary periods and during reduced DWi (rest/sleep). We have analysed data from twenty patients of which nine experienced EF. Our findings may suggest significantly increased respiratory effort in EF patients compared to those successfully extubated. Our study also suggests the occurrence of significant change in the frequency dispersion of the cardiac signal component. We also identified a possible improvement in the differentiation between the two groups of patients when assessed during rest/sleep states. Although with caveats regarding the sample size, the results of this pilot study may suggest that CVP-derived cardio-respiratory parameters are valuable for monitoring respiratory failure during post-extubation, which could aid in managing non-invasive interventions and possibly reduce the incidence of EF. Our findings also indicate the possible importance of considering sleep/rest state when assessing cardio-respiratory parameters, which could enhance respiratory failure detection/monitoring.

Clinical Characteristics of Hospitalized Patients With COVID-19 and Their Association With the Progression to Critical Illness and Death: A Single-Center Retrospective Study From Northwestern Mexico.

OBJECTIVE: The objective of this study was to associate the epidemiological and clinical characteristics of patients hospitalized for COVID-19 with the progression to critical illness and death in northwestern Mexico. METHODS: From March to October 2020, we collected the demographic and clinical characteristics of 464 hospitalized patients from northwestern Mexico. RESULTS: Sixty-four percent (295/464) of the patients became critically ill. Age, occupation, steroid and antibiotic use at previous hospitalization, and underlying diseases (hypertension, obesity, and chronic kidney disease) were associated with critical illness or death (p: < 0.05). No symptoms were associated with critical illness. However, the parameters such as the heart rate, respiratory rate, oxygen saturation, and diastolic pressure and the laboratory parameters such as the glucose, creatinine, white line cells, hemoglobin, D-dimer, and C-reactive protein, among others, were associated with critical illness (p: < 0.05). Finally, advanced age, previous hospital treatment, and the presence of one or more underlying diseases were associated with critical illness and death (p: < 0.02). CONCLUSIONS: Several epidemiological (e.g., age and occupation) and clinical factors (e.g., previous treatment, underlying diseases, and vital signs and laboratory parameters) were associated with critical illness and death in patients hospitalized with COVID-19. These data provide us with possible markers to avoid critical illness or death from COVID-19 in our region.

Society of Critical Care Medicine and American Society of Health-System Pharmacists Guideline for the Prevention of Stress-Related Gastrointestinal Bleeding in Critically Ill Adults.

RATIONALE: Critically ill adults can develop stress-related mucosal damage from gastrointestinal hypoperfusion and reperfusion injury, predisposing them to clinically important stress-related upper gastrointestinal bleeding (UGIB). OBJECTIVES: The objective of this guideline was to develop evidence-based recommendations for the prevention of UGIB in adults in the ICU. DESIGN: A multiprofessional panel of 18 international experts from dietetics, critical care medicine, nursing, and pharmacy, and two methodologists developed evidence-based recommendations in alignment with the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methodology. Conflict-of-interest policies were strictly followed during all phases of guideline development including task force selection and voting. METHODS: The panel members identified and formulated 13 Population, Intervention, Comparison, and Outcome questions. We conducted a systematic review for each question to identify the best available evidence, statistically analyzed the evidence, and then assessed the certainty of the evidence using the GRADE approach. We used the evidence-to-decision framework to formulate the recommendations. Good practice statements were included to provide additional guidance. RESULTS: The panel generated nine conditional recommendations and made four good practice statements. Factors that likely increase the risk for clinically important stress-related UGIB in critically ill adults include coagulopathy, shock, and chronic liver disease. There is no firm evidence for mechanical ventilation alone being a risk factor. Enteral nutrition probably reduces UGIB risk. All critically ill adults with factors that likely increase the risk for stress-related UGIB should receive either proton pump inhibitors or histamine-2 receptor antagonists, at low dosage regimens, to prevent UGIB. Prophylaxis should be discontinued when critical illness is no longer evident or the risk factor(s) is no longer present despite ongoing critical illness. Discontinuation of stress ulcer prophylaxis before transfer out of the ICU is necessary to prevent inappropriate prescribing. CONCLUSIONS: The guideline panel achieved consensus regarding the recommendations for the prevention of stress-related UGIB. These recommendations are intended for consideration along with the patient's existing clinical status.

Pediatric Early Warning Score (PEWS) in predicting prognosis of critical pediatric trauma patients: a retrospective study.

BACKGROUND: This study aimed to compare the predictive value of Pediatric Early Warning Score (PEWS) to Pediatric Risk of Mortality-3 (PRISM-3), Pediatric Trauma Score (PTS), and Pediatric Glasgow Coma Score (pGCS) in determining clinical severity and mortality among critical pediatric trauma patients. METHOD: A total of 122 patients monitored due to trauma in the pediatric intensive care unit between 2020 and 2023 were included in the study. Physical examination findings, vital parameters, laboratory values, and all scoring calculations for patients during emergency room admissions and on the first day of intensive care follow-up were recorded. Comparisons were made between two groups identified as survivors and non-survivors. RESULTS: The study included 85 (69.7%) male and 37 (30.3%) female patients, with an average age of 75 ± 59 months for all patients. Forty-one patients (33.6%) required Invasive Mechanical Ventilation (IMV) and 11 patients (9%) required inotropic therapy. Logistic regression analysis revealed a significant association between mortality and PEWS (p < 0.001), PRISM-3 (p < 0.001), PTS (p < 0.001), and pGCS (p < 0.001). Receiver operating characteristics curve analysis demonstrated that the PEWS score (cutoff > 6.5, AUC = 0.953, 95% CI 0.912-0.994) was highly predictive of mortality, showing similar performance to the PRISM-3 score (cutoff > 21, AUC = 0.999, 95% CI 0.995-1). Additionally, the PEWS score was found to be highly predictive in forecasting the need for IMV and inotropic therapy. CONCLUSION: The Pediatric Early Warning Score serves as a robust determinant of mortality in critical pediatric trauma patients. Simultaneously, it demonstrates strong predictability in anticipating the need for IMV and inotropic therapy.

Influence of obesity on mortality, mechanical ventilation time and mobility of critical patients with COVID-19.

OBJECTIVE: To identify the influence of obesity on mortality, time to weaning from mechanical ventilation and mobility at intensive care unit discharge in patients with COVID-19. METHODS: This retrospective cohort study was carried out between March and August 2020. All adult patients admitted to the intensive care unit in need of ventilatory support and confirmed to have COVID-19 were included. The outcomes included mortality, time on mechanical ventilation, and mobility at intensive care unit discharge. RESULTS: Four hundred and twenty-nine patients were included, 36.6% of whom were overweight and 43.8% of whom were obese. Compared with normal body mass index patients, overweight and obese patients had lower mortality (p = 0.002) and longer intensive care unit survival (log-rank p < 0.001). Compared with patients with a normal body mass index, overweight patients had a 36% lower risk of death (p = 0.04), while patients with obesity presented a 23% lower risk (p < 0.001). There was no association between obesity and time on mechanical ventilation. The level of mobility at intensive care unit discharge did not differ between groups and showed a moderate inverse correlation with length of stay in the intensive care unit (r = -0.461; p < 0.001). CONCLUSION: Overweight and obese patients had lower mortality and higher intensive care unit survival rates. The duration of mechanical ventilation and mobility level at intensive care unit discharge did not differ between the groups.

Organ Involvement Related to Death in Critically Ill Patients With Leptospirosis: Unsupervised Analysis in a French West Indies ICU.

OBJECTIVES: To identify distinct phenotypes of critically ill leptospirosis patients upon ICU admission and their potential associations with outcome. DESIGN: Retrospective observational study including all patients with biologically confirmed leptospirosis admitted to the ICU between January 2014 and December 2022. Subgroups of patients with similar clinical profiles were identified by unsupervised clustering (factor analysis for mixed data and hierarchical clustering on principal components). SETTING: All patients admitted to the ICU of the University Hospital of Guadeloupe on the study period. PATIENTS: One hundred thirty critically ill patients with confirmed leptospirosis were included. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: At ICU admission, 34% of the patients had acute respiratory failure, and 26% required invasive mechanical ventilation. Shock was observed in 52% of patients, myocarditis in 41%, and neurological involvement in 20%. Unsupervised clustering identified three clusters-"Weil's Disease" (48%), "neurological leptospirosis" (20%), and "multiple organ failure" (32%)-with different ICU courses and outcomes. Myocarditis and neurological involvement were key components for cluster identification and were significantly associated with death in ICU. Other factors associated with mortality included shock, acute respiratory failure, and requiring renal replacement therapy. CONCLUSIONS AND RELEVANCE: Unsupervised analysis of critically ill patients with leptospirosis revealed three patient clusters with distinct phenotypic characteristics and clinical outcomes. These patients should be carefully screened for neurological involvement and myocarditis at ICU admission.

From Traditional Typing to Intelligent Insights: A Narrative Review of Directions Toward Targeted Therapies in Delirium.

Delirium is a heterogeneous syndrome characterized by an acute change in level of consciousness that is associated with inattention and disorganized thinking. Delirium affects most critically ill patients and is associated with poor patient-oriented outcomes such as increased mortality, longer ICU and hospital length of stay, and worse long-term cognitive outcomes. The concept of delirium and its subtypes has existed since nearly the beginning of recorded medical literature, yet robust therapies have yet to be identified. Analogous to other critical illness syndromes, we suspect the lack of identified therapies stems from patient heterogeneity and prior subtyping efforts that do not capture the underlying etiology of delirium. The time has come to leverage machine learning approaches, such as supervised and unsupervised clustering, to identify clinical and pathophysiological distinct clusters of delirium that will likely respond differently to various interventions. We use sedation in the ICU as an example of how precision therapies can be applied to critically ill patients, highlighting the fact that while for some patients a sedative drug may cause delirium, in another cohort sedation is the specific treatment. Finally, we conclude with a proposition to move away from the term delirium, and rather focus on the treatable traits that may allow precision therapies to be tested.

Predicting Organ Dysfunction in Septic and Critically Ill Patients: A Prospective Cohort Study Using Rapid Ex Vivo Immune Profiling.

OBJECTIVES: While cytokine response patterns are pivotal in mediating immune responses, they are also often dysregulated in sepsis and critical illness. We hypothesized that these immunological deficits, quantifiable through ex vivo whole blood stimulation assays, may be indicative of subsequent organ dysfunction. DESIGN: In a prospective observational study, adult septic patients and critically ill but nonseptic controls were identified within 48 hours of critical illness onset. Using a rapid, ex vivo assay based on responses to lipopolysaccharide (LPS), anti-CD3/anti-CD28 antibodies, and phorbol 12-myristate 13-acetate with ionomycin, cytokine responses to immune stimulants were quantified. The primary outcome was the relationship between early cytokine production and subsequent organ dysfunction, as measured by the Sequential Organ Failure Assessment score on day 3 of illness (SOFAd3). SETTING: Patients were recruited in an academic medical center and data processing and analysis were done in an academic laboratory setting. PATIENTS: Ninety-six adult septic and critically ill nonseptic patients were enrolled. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Elevated levels of tumor necrosis factor and interleukin-6 post-endotoxin challenge were inversely correlated with SOFAd3. Interferon-gamma production per lymphocyte was inversely related to organ dysfunction at day 3 and differed between septic and nonseptic patients. Clustering analysis revealed two distinct immune phenotypes, represented by differential responses to 18 hours of LPS stimulation and 4 hours of anti-CD3/anti-CD28 stimulation. CONCLUSIONS: Our rapid immune profiling technique offers a promising tool for early prediction and management of organ dysfunction in critically ill patients. This information could be pivotal for early intervention and for preventing irreversible organ damage during the acute phase of critical illness.

Refeeding syndrome risk at ICU admission is an independent predictor of ICU readmission but it is not associated with mortality or length of stay in critically ill patients.

OBJECTIVES: This study evaluated the association between refeeding syndrome (RFS) risk and intensive care unit (ICU)/in-hospital mortality and length of stay (LOS) and ICU readmission in critically ill patients. METHODS: This secondary analysis of a cohort study included patients aged ≥ 18 years admitted at ICU 24 h before data collection. We evaluated RFS risk based on the National Institute for Health and Clinical Excellence (NICE), stratifying it into four categories (no, low, high, and very-high risk). SETTING: Five adult ICUs in Brazil. MAIN OUTCOME MEASURES: ICU/in-hospital mortality and LOS and ICU readmission data were obtained from electronic medical records analysis, following patients until discharge (alive or not). RESULTS: The study involved 447 patients, categorized into no (19.2 %), low (28.6 %), high (48.8 %), and very-high (3.4 %) RFS risk groups. No significant differences emerged between the two groups (at RFS risk and no RFS risk) regarding the ICU death ratio (34.3 % versus 23.4 %) and LOS (5 versus 4 days), respectively. In contrast, patients at RFS risk experienced higher in-hospital mortality rates (34.3 % versus 23.4 %) prolonged hospital LOS (21 days versus 17 days), and increased ICU readmission rates (15 % versus 8.4 %) than patients without RFS risk. After adjusting for age and Sequential Organ Failure Assessment (SOFA) Score, we found no association between RFS risk and increased mortality in the ICU or hospital. Also, there was no significant association between RFS risk and prolonged LOS in the ICU or hospital setting. However, patients identified as at risk of RFS showed nearly double the odds of ICU readmission (Odds ratio, 1.90; 95 % CI 1.02-3.43). CONCLUSIONS: This study found no significant association between RFS risk and increased mortality in both the ICU and hospital settings, nor was there a significant association with prolonged LOS in the ICU or hospital among critically ill patients. However, patients at risk of RFS exhibited nearly double the odds of ICU readmission. IMPLICATIONS FOR CLINICAL PRACTICE: Our findings may contribute to understanding risks associated with ICU readmissions, highlighting the complexity of discharge decision-making through comprehensive assessments.

Validation of Math Model Using Porous Media for Determining Alveolar CO 2 in Ventilated Patients.

OBJECTIVES: To validate a mathematical model using porous media theory for alveolar CO2 determination in ventilated patients. DESIGN: Mathematical modeling study with prospective clinical validation to simulate CO2 exchange from bloodstream to airway entrance. SETTING: ICU. PATIENTS: Thirteen critically ill patients without chronic or acute lung disease. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Model outcomes compared with patient data showed correlations for end-tidal CO2 (EtCO 2 ), area under the CO2 curve, and Pa CO2 of 0.918, 0.954, and 0.995. Determination coefficients ( R2 ) were 0.843, 0.910, and 0.990, indicating precision and predictive power. CONCLUSIONS: The mathematical model shows potential in pulmonary critical care. Although promising, practical application demands further validation, clinician training, and patient-specific adjustments. The path to clinical use will be iterative, involving validation and education.

Utrasound as a method for confirming the positioning of enteral catheters in critically ill patients.

AIM: To evaluate the agreement between the bedside ultrasound in a single epigastric window and the plain X-ray to confirm the positioning of the enteral catheter in critically ill patients. MATERIAL AND METHODS: This was an observational, cross-sectional study conducted in two Intensive Care Units of a university hospital. The ultrasound exams were carried out immediately after the introduction of the enteral catheter, using only the epigastric window, with an injection of 5 ml of air associated with 5 ml of saline solution. In all cases, the plain radiography was taken to confirm the positioning of the enteral catheter and to define the beginning of nutritional therapy. RESULTS: This study included 83 patients, the positioning of the enteral catheter was confirmed by plain radiography in all cases and by ultrasound in 81 (97.6%) patients. The median duration of the ultrasound exam was 2 (2-3) minutes, while the time spent between the request for the X-ray and the release of the exam for a doctor's appointment was 225 (120-330) minutes. CONCLUSION: Bedside ultrasound proved to be an effective, quick, and safe method to confirm the position of the enteral catheter in critically ill patients.

BMI and mortality in critically ill patients with COVID-19: another brick in the wall of the obesity paradox.

OBJECTIVE: The objective of this study was to assess the existence of the obesity paradox in patients with COVID-19 admitted to the intensive care unit. METHODS: This was a multicentric retrospective cohort study including individuals aged 18 years or older admitted to the intensive care unit with SARS-CoV-2. Data were obtained from electronic medical records. The primary outcome was in-hospital mortality. Multiple logistic regression and restricted cubic splines analyses were conducted to assess the association between BMI and mortality. RESULTS: From March 2020 to December 2021, 977 patients met the inclusion criteria, and 868 were included in the analysis. Obesity was identified in 382 patients (44%). Patients with obesity more often underwent prone positioning (42% vs. 28%; p < 0.001), although they used less vasoactive medications (57% vs. 68%; p < 0.001). The overall in-hospital mortality was 48%, with 44% observed in the subgroup of individuals with obesity and 50% in those without obesity (p = 0.06). Patients with BMI < 25 kg/m2 had the highest mortality. CONCLUSIONS: Obesity was not associated with higher mortality rates in critically ill patients with COVID-19. Moreover, patients with BMI < 25 kg/m2 had a higher mortality rate compared with those in higher BMI categories.

Usefulness of vancomycin treatment individualization via Bayesian algorithms: a 5-year study in critical patients.

Aim: Compare two vancomycin dosing strategies in critical patients with methicillin-resistant Staphylococcus aureus (MRSA) infections, considering the heterogeneity of the dosing regimens administered and their implications for toxicity and efficacy. Materials & methods: Longitudinal retrospective observational study in two patient cohorts (standard dosing vs dosing via Bayesian algorithms). Results: The group of Bayesian algorithms received substantially higher and significantly heterogeneous doses, with an absence of nephrotoxicity. The speed of decrease observed in CRP and PCT was greater for the Bayesian strategy (p = 0.045 and 0.0009, respectively). Conclusion: Applying Bayesian algorithms to vancomycin dosage individualization allows for administering much higher doses than with standard regimens, facilitating a quicker clinical response in the absence of nephrotoxicity.

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GLIM criteria validation and reliability in critically ill patients with cancer: A prospective study.

BACKGROUND: The present study aims to assess the interrater reliability of the Global Leadership Initiative on Malnutrition (GLIM) criteria, a framework to provide a consensus diagnosis of malnutrition. We also aimed to investigate its concurrent and predictive validity in the context of patients with cancer admitted to the intensive care unit (ICU). METHODS: Individuals aged ≥19 years with cancer who were admitted to the ICU within 48 h of their initial hospital admission were included. Nutrition status was assessed with the Nutritional Risk Screening 2002, the Subjective Global Assessment (SGA), and the GLIM criteria. Interrater reliability was assessed by the kappa test (>0.80). The SGA served as the established benchmark for assessing concurrent validity. To evaluate predictive validity, the occurrence of mortality within 30 days was the outcome, and Cox regression models were applied. RESULTS: A total of 212 patients were included: 66.9% were at nutrition risk, and 45.8% were malnourished according to the SGA. According to the GLIM criteria, 68.4% and 66% were identified as malnourished by evaluators 1 and 2, respectively (κ = 0.947; P < 0.001). The GLIM combination incorporating weight loss and the presence of inflammation exhibited sensitivity (82.4%) and specificity (92%). In the multivariate Cox regression models, most GLIM combinations emerged as independent predictors of complications. CONCLUSION: The GLIM criteria demonstrated satisfactory interrater reliability, and the combination involving weight loss and the presence of inflammation exhibited noteworthy sensitivity and specificity. Most GLIM combinations emerged as independent predictors of 30-day mortality.