OBJECTIVES: To investigate the association of serum albumin level after human albumin infusion with 28-day mortality in critically ill patients with acute kidney injury (AKI) and its impact on 90-day outcomes of the patients. METHODS: We conducted a retrospective cohort study based on the MIMIC IV database (2008-2019), including 5918 AKI patients treated with albumin in the ICU. Based on serum albumin levels within 72 h after albumin infusion, the patients were divided into low (<30 g/L), medium (30-35 g/L), and high albumin (>35 g/L) groups. Restricted cubic spline regression and multivariate logistic regression were used to analyze the association of albumin levels with patient mortality, and the results were verified in a external validation cohort consisting of 110 sepsis-induced AKI patients treated in Nanfang Hospital between 2017 and 2022 using survival analysis and multivariate adjustment. RESULTS: In the MIMIC training cohort, multivariate logistic regression showed no significant differences in 28-day mortality of the patients with different albumin levels (P>0.05). However, restricted cubic spline analysis indicated a non-linear dose-response relationship between albumin levels and 28-day mortality (threshold effect: risk increased when albumin levels >3.6 g/dL). Secondary endpoint analysis revealed that the patients with high albumin levels had a shorter duration of mechanical ventilation (P<0.001) but a longer ICU stay (P<0.001). In the validation cohort, albumin levels ≥30 g/L were significantly associated with a reduced 28-day mortality rate (P<0.05). CONCLUSIONS The association between increased serum albumin levels following albumin infusion and 28-day mortality of critically ill patients with AKI exhibits a cohort dependency and can be influenced by multiple factors including disease type and severity, infusion strategies, and statistical methods.
Humans ; Acute Kidney Injury/therapy* ; Critical Illness/mortality* ; Retrospective Studies ; Serum Albumin/analysis* ; Male ; Female ; Intensive Care Units ; Middle Aged ; Logistic Models ; Aged

OBJECTIVE: To explore the feasibility of incorporating simple bedside indicators into death predictive model for elderly critically ill patients based on interpretability machine learning algorithms, providing a new scheme for clinical disease assessment. METHODS: Elderly critically ill patients aged ≥ 65 years who were hospitalized in the intensive care unit (ICU) of Tacheng People's Hospital of Ili Kazak Autonomous Prefecture from June 2017 to May 2020 were retrospectively selected. Basic parameters including demographic characteristics, basic vital signs and fluid intake and output within 24 hours after admission, as well acute physiology and chronic health evaluation II (APACHE II), Glasgow coma score (GCS) and sequential organ failure assessment (SOFA) were also collected. According to outcomes in hospital, patients were divided into survival group and death group. Four datasets were constructed respectively, namely baseline dataset (B), including age, body temperature, heart rate, pulse oxygen saturation, respiratory rate, mean arterial pressure, urine output volume, infusion volume, and crystal solution volume; B+APACHE II dataset (BA), B+GCS dataset (BG), and B+SOFA dataset (BS). Then three machine learning algorithms, Logistic regression (LR), extreme gradient boosting (XGboost) and gradient boosting decision tree (GBDT) were used to develop the corresponding mortality predictive models within four datasets. The feature importance histogram of each prediction model was drawn by SHapley additive explanation (SHAP) method. The area under curve (AUC), accuracy and F1 score of each model were compared to determine the optimal prediction model and then illuminate the nomogram. RESULTS: A total of 392 patients were collected, including 341 in the survival group and 51 in the death group. There were statistically significant differences in heart rate, pulse oxygen saturation, mean arterial pressure, infusion volume, crystal solution volume, and etiological distribution between the two groups. The top three causes of death were shock, cerebral hemorrhage, and chronic obstructive pulmonary disease. Among the 12 prognostic models trained by three machine learning algorithms, overall performance of prognostic models based on B dataset was behind, whereas the LR model trained by BA dataset achieved the best performance than others with AUC of 0.767 [95% confidence interval (95%CI) was 0.692-0.836], accuracy of 0.875 (95%CI was 0.837-0.903) and F1 score of 0.190. The top 3 variables in this model were crystal solution volume with first 24 hours, heart rate and mean arterial pressure. The nomogram of the model showed that the total score between 150 and 230 were advisable. CONCLUSION The interpretable machine learning model including simple bedside parameters combined with APACHE II score could effectively identify the risk of death in elderly patients with critically illness.
Humans ; Critical Illness ; Machine Learning ; Aged ; Algorithms ; Intensive Care Units ; Retrospective Studies ; APACHE ; Prognosis ; Organ Dysfunction Scores ; Hospital Mortality ; Male ; Female

INTRODUCTION: This systematic review and meta-analysis aimed to evaluate the effectiveness and safety of adjunct systemic corticosteroid therapy in patients admitted to the intensive care unit (ICU) with bacterial community-acquired pneumonia (CAP). METHOD: We searched MEDLINE, Embase and the Cochrane Library to identify randomised controlled trials (RCTs) published from the databases' inception to February 2024. All RCTs evaluating the effect of systemic corticosteroids on mortality, compared to standard of care among adult bacterial CAP patients admitted to ICU were included. Bayesian meta-analysis was conducted in line with the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. Independent authors reviewed each study for eligibility, extracted data and assessed risk of bias in duplicate, with discrepancies referred to senior reviewers. RESULTS: A total of 6 RCTs comprising 1585 patients were included for analysis. In ICU patients with severe CAP who were treated with corticosteroids, there was no significant reduction in hospital mortality (risk ratio [RR] 0.70, 95% confidence interval [CI] 0.39-1.14, certainty of evidence: ⊕⊕⊝⊝ low) or all-cause mortality (RR 0.68, 95% CI 0.34-1.22, ⊕⊕⊝⊝ low) compared with placebo. The use of corticosteroids showed a significant reduction in mechanical ventilation post-intervention (RR 0.58, 95% CI 0.37-0.86, ⊕⊕⊕⊕ high) compared with placebo. In a subgroup analysis of patients treated with hydrocortisone, hospital mortality was significantly reduced (RR 0.45, 95% CI 0.20-0.88, ⊕⊕⊝⊝ low) compared with placebo. There was no significant increase in gastrointestinal bleeding, secondary infections or hyperglycaemia in patients treated with corticosteroids. CONCLUSION Corticosteroids significantly reduced mechanical ventilation requirements, and hydrocor-tisone significantly reduced hospital mortality. Further work is required to determine whether other corticosteroids reduce mortality among ICU patients with CAP.
Humans ; Adrenal Cortex Hormones/therapeutic use* ; Bayes Theorem ; Community-Acquired Infections/mortality* ; Critical Illness ; Hospital Mortality ; Intensive Care Units ; Pneumonia, Bacterial/mortality* ; Randomized Controlled Trials as Topic ; Respiration, Artificial

INTRODUCTION: There is paucity of data on the occurrence of cardiovascular events (CVEs) in critically ill patients with sepsis. We aimed to describe the incidence, risk factors and impact on mortality of CVEs in these patients. METHODS: This was a retrospective cohort study of critically ill patients admitted to the medical intensive care unit (ICU) between July 2015 and October 2016. The primary outcome was intra-hospital CVEs, while the secondary outcomes were in-hospital mortality, ICU and hospital length of stay. RESULTS: Patients with sepsis (n=662) had significantly more CVEs compared to those without (52.9% versus 23.0%, P<0.001). Among sepsis patients, 350 (52.9%) had 1 or more CVEs: 59 (8.9%) acute coronary syndrome; 198 (29.9%) type 2 myocardial infarction; 124 (18.7%) incident atrial fibrillation; 76 (11.5%) new or worsening heart failure; 32 (4.8%) cerebrovascular accident; and 33 (5.0%) cardiovascular death. Factors associated with an increased risk of CVEs (adjusted relative risk [95% confidence interval]) included age (1.013 [1.007-1.019]); ethnicity-Malay (1.214 [1.005-1.465]) and Indian (1.240 [1.030-1.494]) when compared to Chinese; and comorbidity of ischaemic heart disease (1.317 [1.137-1.527]). There were 278 patients (79.4%) who developed CVEs within the first week of hospitalisation. Sepsis patients with CVEs had a longer median (interquartile range [IQR]) length of stay in the ICU (6 [3-12] vs 4 [2-9] days, P<0.001), and hospital (21 [10-42] vs 15 [7-30] days, P<0.001) compared to sepsis patients without CVEs. There was no difference in in-hospital mortality between the 2 groups (46.9% vs 45.8%, P=0.792). CONCLUSION CVEs complicate half of the critically ill patients with sepsis, with 79.4% of patients developing CVEs within the first week of hospitalisation, resulting in longer ICU and hospital length of stay.
Cardiovascular Diseases/epidemiology* ; Critical Illness/epidemiology* ; Hospital Mortality ; Humans ; Intensive Care Units ; Length of Stay ; Retrospective Studies ; Risk Factors ; Sepsis/epidemiology*

Child ; Critical Illness ; Hospital Mortality ; Humans ; Virus Diseases/epidemiology*

mortality.CONCLUSION: There is a high prevalence of VDD in critically ill Korean children. There were significant associations between the 25(OH) vitamin D level and gastrointestinal/hepatobiliary disorders, the pMODS score and with coagulation related factors. Further large-scale studies with more specific subgroup analyses are required to more precisely assess the clinical implications of VDD in critically ill pediatric patients.]]>
Bilirubin ; Blood Platelets ; C-Reactive Protein ; Child ; Critical Illness ; Disseminated Intravascular Coagulation ; Hemostasis ; Humans ; Intensive Care Units ; Length of Stay ; Mortality ; Multiple Organ Failure ; Pediatrics ; Prevalence ; Prothrombin Time ; Serum Albumin ; Thrombosis ; Ventilators, Mechanical ; Vitamin D Deficiency ; Vitamin D ; Vitamins

PURPOSE: Despite improved quality of intensive care, acute respiratory distress syndrome (ARDS) significantly contributes to mortality in critically ill children. As pre-existing definitions of ARDS were adult-oriented standards, the Pediatric Acute Lung Injury Consensus Conference (PALICC) group released a new definition of pediatric ARDS. In this study, we aimed to assess the performance of PALICC definition for ARDS risk stratification. METHODS: Total 332 patients who admitted to the intensive care unit at Severance Hospital from January 2009 to December 2016 and diagnosed as having ARDS by either the PALICC definition or the Berlin definition were retrospectively analyzed. Patient characteristics and mortality rates were compared between the individual severity groups according to both definitions. RESULTS: The overall mortality rate was 36.1%. The mortality rate increased across the severity classes according to both definitions (26% in mild, 37% in moderate and 68% in severe by the PALICC definition [P<0.001]; 20% in mild, 32% in moderate and 64% in severe by the Berlin definition [P<0.001]). The mortality risk increased only for severe ARDS in both definitions (hazard ratio [95% confidence interval]: 2.279 [1.414–3.672], P=0.001 by the PALICC definition; 2.674 [1.518–4.712], P=0.001 by the Berlin definition). There was no significant difference in mortality discrimination between the 2 definitions (difference in integrated area under the curve: 0.017 [−0.018 to 0.049]). CONCLUSION: The PALICC definition demonstrated similar discrimination power on PARDS' severity and mortality as the Berlin definition.
Acute Lung Injury* ; Berlin ; Child ; Consensus* ; Critical Care ; Critical Illness ; Discrimination (Psychology) ; Humans ; Intensive Care Units ; Mortality ; Respiratory Distress Syndrome, Adult* ; Retrospective Studies

OBJECTIVE: Community-acquired pneumonia (CAP) is a major cause of sepsis, and sepsis-related acute organ dysfunction affects patient mortality. Although the quick Sequential Organ Failure Assessment (qSOFA) is a new screening tool for patients with suspected infection, its predictive value for the mortality of patients with CAP has not been validated. Lactate concentration is a valuable biomarker for critically ill patients. Thus, we investigated the predictive value of qSOFA with lactate concentration for in-hospital mortality in patients with CAP in the emergency department (ED).METHODS: From January 2015 to June 2015, 443 patients, who were diagnosed with CAP in the ED, were retrospectively analyzed. We defined high qSOFA or lactate concentrations as a qSOFA score ≥2 or a lactate concentration >2 mmol/L upon admission at the ED. The primary outcome was all-cause in-hospital mortality.RESULTS: Among the 443 patients, 44 (9.9%) died. Based on the receiver operating characteristic (ROC) analysis, the areas under the curves for the prediction of mortality were 0.720, 0.652, and 0.686 for qSOFA, CURB-65 (confusion, urea, respiratory rate, blood pressure, and age), and Pneumonia Severity Index, respectively. The area under the ROC curve of qSOFA was lower than that of SOFA (0.720 vs. 0.845, P=0.004). However, the area under the ROC curve of qSOFA with lactate concentration was not significantly different from that of SOFA (0.828 vs. 0.845, P=0.509). The sensitivity and specificity of qSOFA with lactate concentration were 71.4% and 83.2%, respectively.CONCLUSION: qSOFA with lactate concentration is a useful and practical tool for the early prediction of in-hospital mortality among patients with CAP in the ED.
Blood Pressure ; Critical Illness ; Emergencies ; Emergency Service, Hospital ; Hospital Mortality ; Humans ; Lactic Acid ; Mass Screening ; Mortality ; Organ Dysfunction Scores ; Pneumonia ; Respiratory Rate ; Retrospective Studies ; ROC Curve ; Sensitivity and Specificity ; Sepsis ; Urea

BACKGROUND: Invasive aspergillosis (IA) is associated with high morbidity and mortality, particularly among immunocompromised patients, such as lung transplant recipients. Voriconazole, the first-line therapy for IA, shows a non-linear pharmacokinetic profile and has a narrow therapeutic range. Careful and appropriate administration is necessary, primarily because it is used for critically ill patients; however, the clinical usefulness of therapeutic drug monitoring (TDM) has not been sufficiently verified. Therefore, in this study, we validated the safety and efficacy of voriconazole TDM in lung transplant recipients receiving only voriconazole for IA treatment. METHODS: The electronic medical records of lung transplant recipients (≥19 years of age) administered only voriconazole for > 7 days for treatment of IA from June 1, 2013 to May 31, 2018 were analyzed retrospectively. RESULTS: Among the 54 patients, 27 each were allocated to TDM and non-TDM groups, respectively. There were no significant differences in patient characteristics between the two groups except for ICU-hospitalization status. Of the TDM group patients, 81.5% needed adjustment of voriconazole dosage because the levels were out of target range. Comparison of two groups showed that treatment response was higher throughout treatment and switching rates of second-line agents were significantly lower in the TDM group, but it was insufficient to confirm safety improvements through voriconazole TDM. CONCLUSION: Considering that the treatment response tended to be higher and the rates of switching to second-line antifungal agents were lower in the TDM group, voriconazole TDM may increase the therapeutic effect on IA in lung transplant patients.
Antifungal Agents ; Aspergillosis ; Critical Illness ; Drug Monitoring ; Electronic Health Records ; Humans ; Immunocompromised Host ; Lung Transplantation ; Lung ; Mortality ; Retrospective Studies ; Transplant Recipients ; Voriconazole

BACKGROUND: Ventilator dependency constitutes a major problem in the intensive care setting. Malnutrition is considered a major determinant of extubation failure, however, attention has been attracted to modulating carbon dioxide production through decreasing carbohydrate loading and increasing the percent of fat in enteral feeds. The detected interrelation between substrate oxidation and ventilation outcome became the base of several research to determine the appropriate composition of the nonprotein calories of diet in ventilated patients. PURPOSE: We aimed to assess the effect of high-fat dietary modification and nutritional status on ventilatory and final outcomes of pediatric intensive care. METHODS: Fifty-one ventilated children (1 month to 12 years of age) with pulmonary disease who could be enterally fed, in the Cairo University Pediatric intensive care unit, were divided into 2 groups: group A included 25 patients who received isocaloric high-fat, low-carbohydrate diet; group B included 26 patients who received standard isocaloric diet. Comprehensive nutritional assessment was done for all patients. RESULTS: Group A had a significant reduction in carbon dioxide tension, but no similar reduction in the duration or level of ventilatory support. Assisted minute ventilation was predicted by weight-for-age and caloric intake rather than the type of diet. Poor nutritional status was associated with higher mortality and lower extubation rates. Mild hypertriglyceridemia and some gastrointestinal intolerance were significant in group A, with no impact on the adequacy of energy or protein delivery. CONCLUSION: The high-fat enteral feeding protocol may contribute to reducing carbon dioxide tension, with mild hypertriglyceridemia and negligible gastrointestinal intolerance as potential adverse effects. Optimization of nutritional status rather than dietary modification may improve ventilatory and survival outcomes in critically ill-ventilated children.
Carbon Dioxide ; Child ; Critical Care ; Critical Illness ; Diet ; Diet, High-Fat ; Energy Intake ; Enteral Nutrition ; Food Habits ; Humans ; Hypertriglyceridemia ; Intensive Care Units ; Lung Diseases ; Malnutrition ; Mortality ; Nutrition Assessment ; Nutritional Status ; Ventilation ; Ventilators, Mechanical