Association between lactate/albumin ratio and prognosis in critically ill patients with acute kidney injury undergoing continuous renal replacement therapy.

BACKGROUND: The primary objective was to examine the association between the lactate/albumin ratio (LAR) and the prognosis of patients with acute kidney injury (AKI) undergoing continuous renal replacement therapy (CRRT). METHODS: Utilizing the Medical Information Mart for Intensive Care IV (MIMIC-IV, v2.0) database, we categorized 703 adult AKI patients undergoing CRRT into survival and non-survival groups based on 28-day mortality. Patients were further grouped by LAR tertiles: low (< 0.692), moderate (0.692-1.641), and high (> 1.641). Restricted cubic splines (RCS), Least Absolute Shrinkage and Selection Operator (LASSO) regression, inverse probability treatment weighting (IPTW), and Kaplan-Meier curves were employed. RESULTS: In our study, the patients had a mortality rate of 50.07% within 28 days and 62.87% within 360 days. RCS analysis revealed a non-linear correlation between LAR and the risk of mortality at both 28 and 360 days. Cox regression analysis, which was adjusted for nine variables identified by LASSO, confirmed that a high LAR (>1.641) served as an independent predictor of mortality at these specific time points (p < 0.05) in AKI patients who were receiving CRRT. These findings remained consistent even after IPTW adjustment, thereby ensuring a reliable and robust outcome. Kaplan-Meier survival curves exhibited a gradual decline in cumulative survival rates at both 28 and 360 days as the LAR values increased (log-rank test, χ2 = 48.630, p < 0.001; χ2 = 33.530, p < 0.001). CONCLUSION: A high LAR (>1.641) was found to be an autonomous predictor of mortality at both 28 and 360 days in critically ill patients with AKI undergoing CRRT.

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.

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.

Onset of Prolonged High-Potency Benzodiazepine Use Among ICU Survivors: A Nationwide Cohort Study.

OBJECTIVES: Exposure to critical illness and intensive care may lead to long-term psychologic and physical impairments. To what extent ICU survivors become prolonged users of benzodiazepines after exposure to critical care is not fully explored. This study aimed to describe the extent of onset of prolonged high-potency benzodiazepine use among ICU survivors not using these drugs before admission, identify factors associated with this use, and analyze whether such usage is associated with increased mortality. DESIGN: Retrospective cohort study. SETTING: Sweden, including all registered ICU admissions between 2010 and 2017. PATIENTS: ICU patients surviving for at least 3 months, not using high-potency benzodiazepine before admission, were eligible for inclusion. INTERVENTIONS: Admission to intensive care. MEASUREMENTS AND MAIN RESULTS: A total of 237,904 patients were screened and 137,647 were included. Of these 5338 (3.9%) became prolonged users of high-potency benzodiazepines after ICU discharge. A peak in high-potency benzodiazepine prescriptions was observed during the first 3 months, followed by sustained usage throughout the follow-up period of 18 months. Prolonged usage was associated with older age, female sex, and a history of both somatic and psychiatric comorbidities, including substance abuse. Additionally, a longer ICU stay, a high estimated mortality rate, and prior consumption of low-potency benzodiazepines were associated with prolonged use. The risk of death between 6 and 18 months post-ICU admission was significantly higher among high-potency benzodiazepine users, with an adjusted hazard ratio of 1.8 (95% CI, 1.7-2.0; p < 0.001). No differences were noted in causes of death between users and nonusers. Conclusions: Despite the lack of evidence supporting long-term treatment, prolonged usage of high-potency benzodiazepines 18 months following ICU care was notable and associated with an increased risk of death. Considering the substantial number of ICU admissions, prevention of benzodiazepine misuse may improve long-term outcomes following critical care.

Associations of early changes in lung ultrasound aeration scores and mortality in invasively ventilated patients: a post hoc analysis.

BACKGROUND: Lung ultrasound (LUS) in an emerging technique used in the intensive care unit (ICU). The derivative LUS aeration score has been shown to have associations with mortality in invasively ventilated patients. This study assessed the predictive value of baseline and early changes in LUS aeration scores in critically ill invasively ventilated patients with and without ARDS (Acute Respiratory Distress Syndrome) on 30- and 90-day mortality. METHODS: This is a post hoc analysis of a multicenter prospective observational cohort study, which included patients admitted to the ICU with an expected duration of ventilation for at least 24 h. We restricted participation to patients who underwent a 12-region LUS exam at baseline and had the primary endpoint (30-day mortality) available. Logistic regression was used to analyze the primary and secondary endpoints. The analysis was performed for the complete patient cohort and for predefined subgroups (ARDS and no ARDS). RESULTS: A total of 442 patients were included, of whom 245 had a second LUS exam. The baseline LUS aeration score was not associated with mortality (1.02 (95% CI: 0.99 - 1.06), p = 0.143). This finding was not different in patients with and in patients without ARDS. Early deterioration of the LUS score was associated with mortality (2.09 (95% CI: 1.01 - 4.3), p = 0.046) in patients without ARDS, but not in patients with ARDS or in the complete patient cohort. CONCLUSION: In this cohort of critically ill invasively ventilated patients, the baseline LUS aeration score was not associated with 30- and 90-day mortality. An early change in the LUS aeration score was associated with mortality, but only in patients without ARDS. TRIAL REGISTRATION: ClinicalTrials.gov, ID NCT04482621.

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.

Development and validation of a prediction model for mortality in critically ill COVID-19 patients.

Background: Early prediction of prognosis may help early treatment measures to reduce mortality in critically ill coronavirus disease (COVID-19) patients. The study aimed to develop a mortality prediction model for critically ill COVID-19 patients. Methods: This retrospective study analyzed the clinical data of critically ill COVID-19 patients in an intensive care unit between April and June 2022. Propensity matching scores were used to reduce the effect of confounding factors. A predictive model was built using logistic regression analysis and visualized using a nomogram. Calibration and receiver operating characteristic (ROC) curves were used to estimate the accuracy and predictive value of the model. Decision curve analysis (DCA) was used to examine the value of the model for clinical interventions. Results: In total, 137 critically ill COVID-19 patients were enrolled; 84 survived, and 53 died. Univariate and multivariate logistic regression analyses revealed that aspartate aminotransferase (AST), creatinine, and myoglobin levels were independent prognostic factors. We constructed logistic regression prediction models using the seven least absolute shrinkage and selection operator regression-selected variables (hematocrit, red blood cell distribution width-standard deviation, procalcitonin, AST, creatinine, potassium, and myoglobin; Model 1) and three independent factor variables (Model 2). The calibration curves suggested that the actual predictions of the two models were similar to the ideal predictions. The ROC curve indicated that both models had good predictive power, and Model 1 had better predictive power than Model 2. The DCA results suggested that the model intervention was beneficial to patients and patients benefited more from Model 1 than from Model 2. Conclusion: The predictive model constructed using characteristic variables screened using LASSO regression can accurately predict the prognosis of critically ill COVID-19 patients. This model can assist clinicians in implementing early interventions. External validation by prospective large-sample studies is required.

Onset of Prolonged High-Potency Benzodiazepine Use Among ICU Survivors: A Nationwide Cohort Study.

OBJECTIVES: Exposure to critical illness and intensive care may lead to long-term psychologic and physical impairments. To what extent ICU survivors become prolonged users of benzodiazepines after exposure to critical care is not fully explored. This study aimed to describe the extent of onset of prolonged high-potency benzodiazepine use among ICU survivors not using these drugs before admission, identify factors associated with this use, and analyze whether such usage is associated with increased mortality. DESIGN: Retrospective cohort study. SETTING: Sweden, including all registered ICU admissions between 2010 and 2017. PATIENTS: ICU patients surviving for at least 3 months, not using high-potency benzodiazepine before admission, were eligible for inclusion. INTERVENTIONS: Admission to intensive care. MEASUREMENTS AND MAIN RESULTS: A total of 237,904 patients were screened and 137,647 were included. Of these 5338 (3.9%) became prolonged users of high-potency benzodiazepines after ICU discharge. A peak in high-potency benzodiazepine prescriptions was observed during the first 3 months, followed by sustained usage throughout the follow-up period of 18 months. Prolonged usage was associated with older age, female sex, and a history of both somatic and psychiatric comorbidities, including substance abuse. Additionally, a longer ICU stay, a high estimated mortality rate, and prior consumption of low-potency benzodiazepines were associated with prolonged use. The risk of death between 6 and 18 months post-ICU admission was significantly higher among high-potency benzodiazepine users, with an adjusted hazard ratio of 1.8 (95% CI, 1.7-2.0; p < 0.001). No differences were noted in causes of death between users and nonusers. CONCLUSIONS: Despite the lack of evidence supporting long-term treatment, prolonged usage of high-potency benzodiazepines 18 months following ICU care was notable and associated with an increased risk of death. Considering the substantial number of ICU admissions, prevention of benzodiazepine misuse may improve long-term outcomes following critical care.

Association Between the Serum Phosphate Levels and Hospital Mortality as Well as 90-Day Mortality Among Critically Ill Patients with Chronic Obstructive Pulmonary Disease: A Retrospective Cohort Study.

Purpose: COPD patients frequently have abnormal serum phosphorus levels. The objective of this study was to examine the correlation between serum phosphorus levels with hospital and 90-day mortality in critically ill patients with COPD. Patients and Methods: The MIMIC IV database was used for this retrospective cohort analysis. We extracted demographics, vital signs, laboratory tests, comorbidity, antibiotic usage, ventilation and scoring systems within the first 24 hours of ICU admission. Restricted cubic splines and multivariate cox regression analysis models were used to evaluate the connection between serum phosphorus with hospital and 90-day mortality. We assessed and classified various factors including gender, age, renal disease, severe liver disease, the utilization of antibiotics and congestive heart failure. Results: We included a total of 3611 patients with COPD, with a median age of 70.7 years. After adjusting for all other factors, we observed a significant positive association between serum phosphate levels with both hospital mortality (HR 1.19, 95% CI: 1.07-1.31, p<0.001) and 90-day mortality (HR 1.15, 95% CI: 1.06-1.24, p<0.001). Compared to the medium group (Q2 ≥3.15, <4.0), the adjusted hazard ratios for hospital mortality were 1.47 (95% CI: 1.08-2, p=0.013), and 1.31 (95% CI: 1.06-1.61, p=0.013) for 90-day mortality in the high group (Q3≥4.0). Hospital mortality decreased at serum phosphate levels below 3.8 mg/dl (HR 0.664, 95% CI: 0.468-0.943, p=0.022), but increased for both hospital (HR 1.312, 95% CI: 1.141-1.509, p<0.001) and 90-day mortality (HR 1.236, 95% CI: 1.102-1.386, p<0.001) when levels were above 3.8 mg/dl. Subgroup and sensitivity analyses yielded consistent results. Conclusion: In critical ill COPD patients, this study demonstrated a non-linear association between serum phosphate levels and both hospital and 90-day mortality. Notably, there was an inflection point at 3.8 mg/dl, indicating a significant shift in outcomes. Future prospective research is necessary to validate this correlation.

Observational study of missing SOFA score data frequency in RCTs relative to ICU length of stay.

The Sequential Organ Failure Assessment, also known as SOFA score, was introduced to assess organ dysfunction of critical ill patients. However, understanding the impact of missing SOFA scores in randomized controlled trials and how this affect the validity and applicability of the SOFA score as a surrogate endpoint for predicting mortality has been a matter of interest. To address this, a secondary analysis of a systematic review was conducted to quantify the relationship between SOFA scores and the prediction of mortality in critically ill adults in randomized controlled trials (RCTs). The systematic review being referred to included 87 RCTs with a total of 12,064 critically ill patients. This analysis focused on missing SOFA score data in relation to the length of stay on the intensive care unit (ICU) and the methods used to handle missing data. SOFA score measurements from the included studies were categorized into three time frames: Early (t ≤ 4 days), Intermediate (t = 5-10 days) and Late (t > 10 days) measurement. Only one study reported a complete data set for calculating the SOFA score for an Early measurement. When considering all methods used to address missing data, 32% of studies still had missing data for Early measurements, and this percentage increased to 64% for Late measurements. These findings suggested that, over time, the number of studies with incomplete data sets has been increasing. The longer a patient is treated on the ICU, the higher the number of missing data which can impact the validity of SOFA score analyses. There was no clear trend towards a specific method for compensating missing data. An exemplary calculation demonstrated that ignoring missing data may lead to an underestimated variability of the treatment effect. This, in turn, could bias the interpretation of study results by policy- and clinical decision-makers. Overall, there are several limitations that need to be considered when using SOFA score as a surrogate endpoint for mortality. When employed as an outcome, the SOFA score is frequently missing and most studies do not adequately describe the amount or nature of missing data, or the methods used to handle missing data in the analysis.

L-shaped association between serum chloride levels with 90-day and 365-day all-cause mortality in critically ill patients with COPD: a retrospective cohort study.

This study aimed to investigate the association between serum chloride levels and all-cause mortality in critically ill patients with chronic obstructive pulmonary disease (COPD). Data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database were extracted for analysis. Demographic information, laboratory results, medical histories, vital signs, and prognosis-related data were collected. Cox proportional hazard models were used to assess the relationship between serum chloride levels and 90-day and 365-day mortality. Subgroup analyses were conducted to explore potential interactions between serum chloride levels and various factors. The study included patients with a median age of 72.00 years, of whom 52.39% were male. Higher quartiles of serum chloride levels were associated with significantly lower levels of weight, RBC, platelet, hemoglobin, and other variables (P < 0.05), accompanied by lower 90-day and 365-day mortality (P < 0.05). Cox proportional hazard model indicated that the risk of death was significantly lower in the fourth quartile of serum chloride levels compared with the first quartile after adjusting for confounders (90-day HR = 0.54, 365-day HR = 0.52, both P < 0.05). An L-shape relationship was observed, with risks of death decreasing as serum chloride levels increased, although the magnitude decreased when levels reached 102 mmol/L. This study demonstrated an independent L-shaped association between serum chloride levels and all-cause mortality in critically ill patients with COPD. This finding helps us to understand the prognostic value of serum chloride levels in critically ill patients with COPD.

Association between blood urea nitrogen to serum albumin ratio and in-hospital mortality in critical patients with diabetic ketoacidosis: a retrospective analysis of the eICU database.

Background: This study aimed to investigate the association between blood urea nitrogen to serum albumin ratio (BAR) and the risk of in-hospital mortality in patients with diabetic ketoacidosis. Methods: A total of 3,962 diabetic ketoacidosis patients from the eICU Collaborative Research Database were included in this analysis. The primary outcome was in-hospital death. Results: Over a median length of hospital stay of 3.1 days, 86 in-hospital deaths were identified. One unit increase in LnBAR was positively associated with the risk of in-hospital death (hazard ratio [HR], 1.82 [95% CI, 1.42-2.34]). Furthermore, a nonlinear, consistently increasing correlation between elevated BAR and in-hospital mortality was observed (P for trend =0.005 after multiple-adjusted). When BAR was categorized into quartiles, the higher risk of in-hospital death (multiple-adjusted HR, 1.99 [95% CI, (1.1-3.6)]) was found in participants in quartiles 3 to 4 (BAR≥6.28) compared with those in quartiles 1 to 2 (BAR<6.28). In the subgroup analysis, the LnBAR-hospital death association was significantly stronger in participants without kidney insufficiency (yes versus no, P-interaction=0.023). Conclusion: There was a significant and positive association between BAR and the risk of in-hospital death in patients with diabetic ketoacidosis. Notably, the strength of this association was intensified among those without kidney insufficiency.

Factors Associated With Quality-of-Dying-and-Death Classes Among Critically Ill Patients.

Importance: Improving end-of-life care in the intensive care unit (ICU) is a priority, but clinically modifiable factors of quality of dying and death (QODD) are seldom identified. Objectives: To comprehensively identify factors associated with QODD classes of dying ICU patients, emphasizing clinically modifiable factors based on the integrative framework of factors associated with for bereavement outcomes. Design, Setting, and Participants: This observational cohort study was conducted at medical ICUs of 2 Taiwanese medical centers from January 2018 to March 2020 with follow-up through December 2022. Eligible participants included primary family surrogates responsible for decision making for critically ill ICU patients at high risk of death (Acute Physiology and Chronic Health Evaluation II score >20) but who survived more than 3 days after ICU admission. Data analysis was conducted from July to September 2023. Main Outcomes and Measures: QODD was measured by the 23-item ICU-QODD questionnaire. Factors associated with patient membership in 4 previously determined QODD classes (high, moderate, poor to uncertain, and worst) were examined using a 3-step approach for latent class modeling with the high QODD class as the reference category. Results: A total of 309 family surrogates (mean [SD] age, 49.83 [12.55] years; 184 women [59.5%] and 125 men [40.5%]) were included in the study. Of all surrogates, 91 (29.4%) were the patients' spouse and 66 (53.7%) were the patients' adult child. Patient demographics were not associated with QODD class. Two family demographics (age and gender), relationship with the patient (spousal or adult-child), and length of ICU stay were associated with QODD classes. Patients of surrogates perceiving greater social support were less likely to be in the poor to uncertain (adjusted odds ratio [aOR], 0.89; 95% CI, 0.83-0.94) and worst (aOR, 0.92; 95% CI, 0.87-0.96) QODD classes. Family meetings were associated with the poor to uncertain QODD class (aOR, 8.61; 95% CI, 2.49-29.74) and worst QODD class (aOR, 7.28; 95% CI, 1.37-38.71). Death with cardiopulmonary resuscitation was associated with the worst QODD class (aOR, 7.51; 95% CI, 1.12-50.25). Family presence at patient death was uniformly negatively associated with the moderate QODD class (aOR, 0.16; 95% CI, 0.05-0.54), poor to uncertain QODD class (aOR, 0.21; 95% CI, 0.05-0.82), and worst QODD class (aOR, 0.08; 95% CI, 0.02-0.38). Higher family satisfaction with ICU care was negatively associated with the poor to uncertain QODD class (aOR, 0.93; 95% CI, 0.87-0.98) and worst QODD class (aOR, 0.86; 95% CI, 0.81-0.92). Conclusions and Relevance: In this cohort study of critically ill patients and their family surrogates, modifiable end-of-life ICU-care characteristics played a more significant role in associations with patient QODD class than did immutable family demographics, preexisting family health conditions, patient demographics, and patient clinical characteristics, thereby illuminating actionable opportunities to improve end-of-life ICU care.

U-shaped association between triglyceride-glucose index and all-cause mortality among critically ill pediatrics: a population-based retrospective cohort study.

BACKGROUND: Previous studies have shown that an elevated triglyceride-glucose (TyG) index was associated with all-cause mortality in both general adult individuals and critically ill adult patients. However, the relationship between the TyG index and clinical prognosis in pediatric patients admitted to the intensive care unit (ICU) remains unknown. We aimed to investigate the association of the TyG index with in-hospital all-cause mortality in critically ill pediatric patients. METHODS: A total of 5706 patients in the Pediatric Intensive Care database were enrolled in this study. The primary outcome was 30-day in-hospital all-cause mortality, and secondary outcome was 30-day in-ICU all-cause mortality. The restricted cubic spline (RCS) curves and two-piecewise multivariate Cox hazard regression models were performed to explore the relationship between the TyG index and outcomes. RESULTS: The median age of the study population was 20.5 [interquartile range (IQR): 4.8, 63.0] months, and 3269 (57.3%) of the patients were male. The mean TyG index level was 8.6 ± 0.7. A total of 244 (4.3%) patients died within 30 days of hospitalization during a median follow-up of 11 [7, 18] days, and 236 (4.1%) patients died in ICU within 30 days of hospitalization during a median follow-up of 6 [3, 11] days. The RCS curves indicated a U-shape association between the TyG index and 30-day in-hospital and in-ICU all-cause mortality (both P values for non-linear < 0.001). The risk of 30-day in-hospital all-cause mortality was negatively correlated with the TyG index until it bottoms out at 8.6 (adjusted hazard ratio [HR], 0.72, 95% confidence interval [CI] 0.55-0.93). However, when the TyG index was higher than 8.6, the risk of primary outcome increased significantly (adjusted HR, 1.51, 95% CI 1.16-1.96]). For 30-day in-ICU all-cause mortality, we also found a similar relationship (TyG < 8.6: adjusted HR, 0.75, 95% CI 0.57-0.98; TyG ≥ 8.6: adjusted HR, 1.42, 95% CI 1.08-1.85). Those results were consistent in subgroups and various sensitivity analysis. CONCLUSIONS: Our study showed that the association between the TyG index and 30-day in-hospital and in-ICU all-cause mortality was nonlinear U-shaped, with a cutoff point at the TyG index of 8.6 in critically ill pediatric patients. Our findings suggest that the TyG index may be a novel and important factor for the short-term clinical prognosis in pediatric 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.

Comparison of nutritional risk indices (PNI, GNRI, mNUTRIC) and HALP score in predicting adverse clinical outcomes in older patients staying in an intensive care unit.

Malnutrition among critically ill older patients is a frequent problem in intensive care units (ICUs) and is associated with a higher risk of hospital/ICU length of stay (LOS) and mortality. The aim of this study was to evaluate malnutrition in older patients staying in an ICU using the hemoglobin, albumin, lymphocyte, platelet (HALP) score, modified nutrition risk in the critically Ill (mNUTRIC), prognostic nutritional index (PNI), and geriatric nutritional risk index (GNRI) and to determine the consistency between these tools and their association with clinical outcomes. This cross-sectional retrospective, observational, hospital-based study included 153 older patients (≥65 years of age), who were admitted to an internal medicine ICU. Sequential organ failure assessment (SOFA) scores and acute physiology and chronic health evaluation (APACHE) II were used to assess disease severity. Nutritional status was evaluated using mNUTRIC, GNRI, PNI, and HALP scores, and their association with ICU LOS and mortality was evaluated using ROC and regression analyses. The mortality rate of the patients was 43.1%. The risk of malnutrition was higher among non-survivors, with mNUTRIC scores showing a significant difference between the groups. The scores for all indices, except HALP, showed significant differences between the groups. APACHE-II, SOFA, and mNUTRIC were the strongest prognostic indices for ICU mortality, with mNUTRIC having the highest sensitivity and negative predictive value. The HALP score was not associated with ICU LOS or a significant prognostic factor for mortality. All indices except HALP were good indicators of clinical outcomes in the study population including older patients. Prospective studies in larger and specific patient populations are needed to draw a strict conclusion in this subject.

Comparative study on the predictive value of TG/HDL-C, TyG and TyG-BMI indices for 5-year mortality in critically ill patients with chronic heart failure: a retrospective study.

BACKGROUND: The triglyceride glucose (TyG) index, TyG-body mass index (TyG-BMI), and triglyceride-density lipoprotein cholesterol ratio (TG/HDL-C) are substitute indicators for insulin resistance (IR). This study aimed to compare the predictive value of these indicators for 5-year mortality in critically ill patients with chronic heart failure (CHF). METHODS: Critically ill patients with CHF were identified from the Multiparameter Intelligent Monitoring in Intensive Care (MIMIC) III and IV databases. The primary outcome was 5-year mortality. The relationship between the three indices and mortality risk was determined using multivariate Cox proportional hazards models, Kaplan-Meier (K‒M) analysis and restricted cubic splines analysis. A receiver operating characteristic (ROC) curve was generated to compare the ability of the three indices to predict mortality. Finally, whether the IR indices would further increase the predictive ability of the basic model including baseline variables with a significance level between survivors and non-survivors was evaluated by ROC curve. RESULTS: Altogether, 1329 patients with CHF were identified from the databases. Cox proportional hazards models indicated that the TyG index was independently associated with an elevated risk of 5-year mortality (hazard ratio [HR], 1.56; 95% confidence interval [CI] 1.29-1.9), while the TyG-BMI index and TG/HDL-C level were significantly associated with 5-year mortality, with an HR (95% CI) of 1.002 (1.000-1.003) and 1.01 (1.00-1.03), respectively. The K-M analysis revealed that the cumulative incidence of all-cause 5-year death increased with increasing quartiles of the TyG index, TyG-BMI index, or TG/HDL-C ratio. According to the ROC curve, the TyG index outperformed the TyG-BMI and TG/HDL-C ratio at predicting all-cause 5-year mortality (0.608 [0.571-0.645] vs. 0.558 [0.522-0.594] vs. 0.561 [0.524-0.598]). The effect of the TyG index on all-cause mortality was consistent across subgroups, with no significant interaction with randomized factors. Furthermore, adding the TyG index to the basic model for 5-year mortality improved its predictive ability (area under the curve, 0.762 for the basic model vs. 0.769 for the basic model + TyG index); however, the difference was not statistically significant. CONCLUSION: As continuous variables, all three indices were significantly associated with 5-year mortality risk in critically ill patients with CHF. Although these IR indices did not improve the predictive power of the basic model in patients with CHF, the TyG index appears to be the most promising index (vs. TyG-BMI and TG/HDL-C ratio) for prevention and risk stratification in critically ill patients with CHF.

Diagnostic and prognostic value of heparin-binding protein in sepsis: A systematic review and meta-analysis.

BACKGROUND: Sepsis remains a leading cause of death worldwide. In this context, heparin-binding protein (HBP) has emerged as a possible biomarker, drawing significant attention for its diagnostic and prognostic usefulness in septic patients. Despite this advancement, the literature yields conflicting results. This study is intended to critically evaluate the diagnostic and prognostic value of HBP in critically ill septic patients. METHODS: We searched multiple databases, including PubMed, SCOPUS, Web of Science, and EBSCO, to identify relevant studies on April 27, 2023. We included studies investigating sepsis or its severe outcomes that reported HBP levels and the required data to create 2 × 2 tables. We used R version 4.2.2 and R Studio to analyze the pooled diagnostic accuracy outcomes. The diagmeta package was utilized to calculate the optimum cutoff value. RESULTS: In our meta-analysis, we incorporated 28 studies including 5508 patients. The analysis revealed that HBP has a sensitivity of 0.71 (95% CI: 0.60; 0.79) and a specificity of 0.68 (95% CI: 0.51; 0.81) in diagnosing sepsis, respectively. HBP demonstrated moderate prognostic accuracy for mortality at a cutoff value of 161.415 ng/mL, with a sensitivity and specificity of 72%, and for severe sepsis outcomes at a cutoff value of 58.907 ng/mL, with a sensitivity and specificity of 71%. CONCLUSION: Our findings indicate a relatively moderate diagnostic and prognostic accuracy of HBP for sepsis. Future studies are required to verify the accuracy of HBP as a biomarker for sepsis.

The association between the change in severity score from baseline and the outcomes of critically ill patients was enhanced by integration of bioimpedance analysis parameters.

The study of the outcomes of critically ill patients has been a hard stuff in the field of intensive care. To explore the relationship between changes of severity scores, bioelectrical impedance analysis (BIA) and outcomes of critically ill patients, we enrolled patients (n = 206) admitted to intensive care unit (ICU) in Jinling Hospital from 2018 to 2021 with records of BIA on the days 1- and 3- ICU. Collected BIA and clinical data including simplified acute physiology score II (SAPS II) and sequential organ failure assessment. According to the baseline and change of severity scores or phase angle (PA) values, the patients were divided into: G-G, baseline good status, 3rd day unchanged; G-B, baseline good status, 3rd day deteriorated; B-G, baseline bad status, 3rd day improved; and B-B, baseline bad status, 3rd day unchanged. According to PA, the mortality of group G-G was 8.6%, and it was greater than 50% in group B-B for severity scores. The new score combining PA and severity scores established. Multivariate logistic regression analysis revealed that PA-SAPS II score was the only independent factor for 90-day mortality (P < 0.05). A linear correlation was found between mortality and PA-SAPS II score (prediction equation: Y ( % ) = 16.97 × X - 9.67 , R2 = 0.96, P < 0.05).

Mortality Prediction by Kinetic Parameters of Lactate and S-Adenosylhomocysteine in a Cohort of Critically Ill Patients.

Tissue hypoxia is associated with the development of organ dysfunction and death in critically ill patients commonly captured using blood lactate. The kinetic parameters of serial lactate evaluations are superior at predicting mortality compared with single values. S-adenosylhomocysteine (SAH), which is also associated with hypoxia, was recently established as a useful predictor of septic organ dysfunction and death. We evaluated the performance of kinetic SAH parameters for mortality prediction compared with lactate parameters in a cohort of critically ill patients. For lactate and SAH, maxima and means as well as the normalized area scores were calculated for two periods: the first 24 h and the total study period of up to five days following ICU admission. Their performance in predicting in-hospital mortality were compared in 99 patients. All evaluated parameters of lactate and SAH were significantly higher in non-survivors compared with survivors. In univariate analysis, the predictive power for mortality of SAH was higher compared with lactate in all forms of application. Multivariable models containing SAH parameters demonstrated higher predictive values for mortality than models based on lactate parameters. The optimal models for mortality prediction incorporated both lactate and SAH parameters. Compared with lactate, SAH displayed stronger predictive power for mortality in static and dynamic application in critically ill patients.