Intensive Care Unit Mortality Research Articles

Association between base excess and mortality in critically ill patients with ischemic stroke: a retrospective cohort study

BackgroundBase excess (BE) is associated with mortality from many diseases. However, the relationship between BE and mortality in patients with ischemic stroke remains uncertain. Our aim is to investigate the relationship between BE values upon admission to the ICU and mortality rates in critically ill stroke patients.MethodsThe current study enrolled 1,572 patients with ischemic stroke (863 males and 709 females). The associations of BE with intensive care unit (ICU), hospital, 28-day, and 1-year mortalities were assessed using multivariable logistic regression or Cox proportional hazards model. The potential impact of the Sequential Organ Failure Assessment (SOFA) score (< 5 or ≥ 5) on the prognostic value of BE was further evaluated with interaction and subgroup analyses.ResultsBE values less than − 3 mmol/L, greater than 3 mmol/L, and within − 3 to 3 mmol/L (normal BE) were observed in 316 (20.1%), 175 (11.1%), and 1,081 (68.8%) patients, respectively. The restricted cubic splines analyses revealed that a U-shaped curve between BE and the mortality risk. Multivariable analysis indicated that patients with low BE (<-3 mmol/L) had higher rates of ICU mortality (odds ratio [OR], 1.829; 95% confidence interval [CI], 1.281–2.612; P = 0.001), hospital mortality (OR, 1.484; 95% CI, 1.077–2.045; P = 0.016), 28-day mortality (hazard ratio [HR], 1.522; 95% CI, 1.200–1.929; P = 0.001), and 1-year mortality (HR, 1.399; 95% CI, 1.148–1.705; P = 0.001) than patients with normal BE. Subgroup analyses showed consistent results pertaining to SOFA scores ≥ 5.ConclusionsIn critically ill patients with ischemic stroke, an initial BE of <-3 mmol/L at ICU admission may indicate an increased risk of ICU, hospital, 28-day, and 1-year mortalities.

PROPORTION OF EARLY ONSET SEPSIS IN LOCAL NICU AND IDENTIFICATION OF MATERNAL RISK FACTORS

Early onset neonatal sepsis (EOS) remains a significant cause of morbidity and mortality in neonatal intensive care units (NICUs). Identifying maternal risk factors associated with EOS is crucial for early diagnosis and prevention. Objective: To evaluate the prevalence of early onset sepsis in neonates admitted to the local neonatal intensive care unit (NICU) and identify maternal risk factors associated with neonatal sepsis. Methods: A comparative cross-sectional study was conducted at the Pediatrics Department, Combined Military Hospital Peshawar, from January 2021 to May 2022. One thousand neonates admitted to the NICU due to any indication were included. A consultant paediatrician or neonatologist diagnosed neonatal sepsis based on clinical signs and laboratory findings. Maternal factors such as age, premature rupture of membranes (PROM), maternal fever, and chorioamnionitis were analyzed for their association with early onset sepsis. Data were statistically analysed using SPSS, with p-value &lt;0.001 considered significant. Results: Out of 1000 neonates, 690 (69%) were male and 310 (31%) were female. The mean maternal age was 33.38 ± 4.53 years. EOS was observed in 123 neonates (12.3%), while 877 (88.7%) neonates showed no signs of sepsis. PROM and chorioamnionitis were significantly associated with early-onset sepsis (p-value &lt;0.001). Conclusion: Early onset neonatal sepsis is a common condition in neonates admitted to the NICU. Neonates born to mothers with PROM or chorioamnionitis were at a significantly higher risk of developing EOS. These findings emphasise the importance of addressing maternal risk factors in reducing the incidence of neonatal sepsis.

Association between triglyceride glucose-body mass index and all-cause mortality in critically ill patients with acute pancreatitis

This study delves into the correlation between the triglyceride glucose-body mass index (TyG-BMI) index upon hospital admission and clinical outcomes among this patient population. We investigated the association between TyG-BMI at hospital admission and clinical outcomes in this patient group, and analyzed data from the Medical Information Mart for Intensive Care IV database, identifying acute pancreatitis (AP) patients admitted to ICUs and stratifying them by TyG-BMI quartiles. We assessed the relationship between TyG-BMI and mortality (both in-hospital and ICU) using Cox proportional hazards regression and restricted cubic splines. The cohort included 419 patients, average age 56.34 ± 16.62 years, with a majority being male (61.58%). Hospital and ICU mortality rates were 11.93% and 7.16%, respectively. Higher TyG-BMI was positively correlated with increased all-cause mortality. Patients in the highest TyG-BMI quartile had significantly greater risks of in-hospital and ICU mortality. An S-shaped curve in the spline analysis indicated a threshold effect at a TyG-BMI of 243 for increased in-hospital mortality risk. TyG-BMI is a reliable predictor of both in-hospital and ICU mortality in severely ill AP patients, suggesting its utility in enhancing risk assessment and guiding clinical interventions for this vulnerable population.

Outcomes of Patients with End-Stage Renal Disease Hospitalized with COVID-19 in Ahvaz Razi Hospital from February 2020 to May 2021

Background: End-stage renal disease patients on maintenance hemodialysis (ESRD-HD) are at very high risk for COVID-19 infections due to their older age and comorbidities such as diabetes and hypertension. Objectives: This study aimed to investigate the outcomes of COVID-19 in ESRD-HD patients. Methods: This was a retrospective study conducted on ESRD-HD patients aged 18 years and older who were referred to Razi Hospitals in Ahvaz from February 2020 to May 2021 for hemodialysis and diagnosed with COVID-19. Patient information was extracted retrospectively from their medical records. Results: A total of 180 patients were examined. The average age of the patients was 61.5 years, and 118 (65.6%) were men. The most common underlying condition was hypertension (81.1%). The most prevalent clinical symptom was shortness of breath (70.6%), followed by cough (47.8%). Seventy-five patients (41.66%) were admitted to the intensive care unit (ICU), with an average stay of 5 days. Hypertension and ischemic heart disease were significantly more common among patients admitted to the ICU (P = 0.008 and 0.015, respectively). In-hospital mortality was 32.8%. Advanced age, fever, shortness of breath, cough, and the need for a ventilator were significant predictors of mortality in hospitalized ESRD patients with COVID-19 (P = 0.016, 0.033, 0.001, 0.012, and 0.011, respectively). Conclusions: Our study demonstrated that ESRD-HD patients with COVID-19 are at high risk for ICU admission and mortality. Advanced age and clinical symptoms such as fever, shortness of breath, cough, and the need for a ventilator significantly predict in-hospital mortality in these patients.

Intensive care unit caseload and workload and their association with outcomes in critically unwell patients: a large registry-based cohort analysis

BackgroundToo high or too low patient volumes and work amounts may overwhelm health care professionals and obstruct processes or lead to inadequate personnel routine and process flow. We sought to evaluate, whether an association between current caseload, current workload, and outcomes exists in intensive care units (ICU).MethodsRetrospective cohort analysis of data from an Austrian ICU registry. Data on patients aged ≥ 18 years admitted to 144 Austrian ICUs between 2013 and 2022 were included. A Cox proportional hazards model with ICU mortality as the outcome of interest adjusted with patients’ respective SAPS 3, current ICU caseload (measured by ICU occupancy rates), and current ICU workload (measured by median TISS-28 per ICU) as time-dependent covariables was constructed. Subgroup analyses were performed for types of ICUs, hospital care level, and pre-COVID or intra-COVID period.Results415 584 patient admissions to 144 ICUs were analysed. Compared to ICU caseloads of 76 to 100%, there was no significant relationship between overuse of ICU capacity and risk of death [HR (95% CI) 1.06 (0.99–1.15), p = 0.110 for > 100%], but for lower utilisation [1.09 (1.02–1.16), p = 0.008 for ≤ 50% and 1.10 (1.05–1.15), p < 0.0001 for 51–75%]. Exceptions were significant associations for caseloads > 100% between 2020 and 2022 [1.18 (1.06–1.30), p = 0.001], i.e., the intra-COVID period. Compared to the reference category of median TISS-28 21–30, lower [0.88 (0.78–0.99), p = 0.049 for ≤ 20], but not higher workloads were significantly associated with risk of death. High workload may be associated with higher mortality in local hospitals [1.09 (1.01–1.19), p = 0.035 for 31–40, 1.28 (1.02–1.60), p = 0.033 for > 40].ConclusionsIn a system with comparably high intensive care resources and mandatory staffing levels, patients’ survival chances are generally not affected by high intensive care unit caseload and workload. However, extraordinary circumstances, such as the COVID-19 pandemic, may lead to higher risk of death, if planned capacities are exceeded. High workload in ICUs in smaller hospitals with lower staffing levels may be associated with increased risk of death.

Interpretable mortality prediction model for ICU patients with pneumonia: using shapley additive explanation method

BackgroundPneumonia, a leading cause of morbidity and mortality worldwide, often necessitates Intensive Care Unit (ICU) admission. Accurate prediction of pneumonia mortality is crucial for tailored prevention and treatment plans. However, existing mortality prediction models face limited adoption in clinical practice due to their lack of interpretability.ObjectiveThis study aimed to develop an interpretable model for predicting pneumonia mortality in ICUs. Leveraging the Shapley Additive Explanation (SHAP) method, we sought to elucidate the Extreme Gradient Boosting (XGBoost) model and identify prognostic factors for pneumonia.MethodsConducted as a retrospective cohort study, we utilized electronic health records from the eICU-CRD (2014–2015) for all adult pneumonia patients. The first 24 h of each ICU admission records were considered, with 70% of the dataset allocated for model training and 30% for validation. The XGBoost model was employed, and performance was assessed using the area under the receiver operating characteristic curve (AUC). The SHAP method provided insights into the XGBoost model.ResultsAmong 10,962 pneumonia patients, in-hospital mortality was 16.33%. The XGBoost model demonstrated superior predictive performance (AUC: 0.778 ± 0.016)) compared to traditional scoring systems and other machine learning method, which achieved an improvement of 10% points. SHAP analysis identified Aspartate Aminotransferase (AST) as the most crucial predictor.ConclusionsInterpretable predictive models enhance mortality risk assessment for pneumonia patients in the ICU, fostering transparency. AST emerged as the foremost predictor, followed by patient age, albumin, BMI et al. These insights, rooted in strong correlations with mortality, facilitate improved clinical decision-making and resource allocation.

Effects of high-fat, low-carbohydrate enteral nutrition in critically ill patients: A systematic review with meta-analysis

Background & aimsHigh-fat, low-carbohydrate enteral nutrition has gained attention, with expectations of an improved respiratory condition, fewer complications, and lower mortality. The present study performed a systematic review and meta-analysis of randomized controlled trials to examine the effects of high-fat, low-carbohydrate enteral nutrition in critically ill adult patients. MethodsWe searched MEDLINE via Pubmed, Cochrane Central Register of Controlled Trials (CENTRAL), and ICHUSHI for randomized controlled trials comparing high-fat, low-carbohydrate enteral nutrition to standard enteral nutrition in critically ill adult patients who received enteral nutrition. The primary outcome was mortality. Secondary outcomes included intensive care unit (ICU) mortality, length of ICU stay, length of mechanical ventilation, and adverse events of diarrhea and gastric residual volume. We examined the risk of bias using the Cochrane risk-of-bias tool for randomized trials version 2. We assessed the overall certainty of evidence based on the Grading of Recommendations Assessment, Development, and Evaluation methodology. Synthesis results were calculated with risk ratios and 95% confidence intervals using a Mantel-Haenszel random-effects model. ResultsEight trials with 607 patients were included. The effects of high-fat, low-carbohydrate enteral nutrition on mortality did not significantly differ from those of standard enteral nutrition (62/280 [22.1%] vs. 39/207 [18.8%], risk ratios=1.14, 95% confidence intervals 0.80 to 1.62, P=0.47). No significant differences were observed in ICU mortality, ICU length of stay, diarrhea, or gastric residual volume between the two groups. However, high-fat, low-carbohydrate enteral nutrition was associated with a significantly shorter duration of mechanical ventilation (mean difference -1.72 days, 95% confidence intervals -2.93 to -0.50, P=0.005). ConclusionHigh-fat, low-carbohydrate enteral nutrition may not affect mortality, but may decrease the duration of mechanical ventilation in critically ill adult patients. Limitations include the small number of studies and potential for bias. Further research is needed to confirm these results and investigate effects on other outcomes and in a subgroup of patients requiring mechanical ventilation.

Triglyceride-glucose index correlates with the occurrence and prognosis of acute myocardial infarction complicated by cardiogenic shock: data from two large cohorts

BackgroundTriglyceride-glucose (TyG) index, a dependable indicator of insulin resistance, has been identified as a valid marker regarding multiple cardiovascular diseases. Nevertheless, the correlation of TyG index with acute myocardial infarction complicated by cardiogenic shock (AMICS) remains uncertain. Our study aims for elucidating this relationship by comprehensively analyzing two large-scale cohorts.MethodsUtilizing records from the eICU Collaborative Research Database and the Medical Information Mart for Intensive Care IV, the link between TyG and the incidence and prognosis of AMICS was assessed multicentrally and retrospectively by logistic and correlation models, as well as restricted cubic spline (RCS). Propensity score matching (PSM), inverse probability of treatment weighting (IPTW), and overlap weighting (OW) were employed to balance the potential confounders. Subgroup analyses were performed according to potential modifiers.ResultsOverall, 5208 AMI patients, consisting of 375 developing CS were finally included. The TyG index exhibited an apparently higher level in AMI populations developing CS than in those who did not experienced CS [9.2 (8.8–9.7) vs. 9.0 (8.5–9.5)], with a moderate discrimination ability to recognize AMICS from the general AMI (AUC: 0.604). Logistic analyses showed that the TyG index was significantly correlated with in-hospital and ICU mortality. RCS analysis demonstrated a linear link between elevated TyG and increased risks regarding in-hospital and ICU mortality in the AMICS population. An increased mortality risk remains evident in PSM-, OW- and IPTW-adjusted populations with higher TyG index who have undergone CS. Correlation analyses demonstrated an apparent link between TyG index and APS score. Subgroup analyses presented a stable link between elevated TyG and mortality particularly in older age, females, those who are overweight or hypertensive, as well as those without diabetes.ConclusionsElevated TyG index was related to the incidence of CS following AMI and higher mortality risks in the population with AMICS. Our findings pointed a previously undisclosed role of TyG index in regard to AMICS that still requires further validation.

Intensive care unit cardiac arrest among very elderly critically ill patients – is cardiopulmonary resuscitation justified?

IntroductionThe proportion of very elderly patients in the intensive care unit (ICU) is expected to rise. Furthermore, patients are likely more prone to suffer a cardiac arrest (CA) event within the ICU. The occurrence of intensive care unit cardiac arrest (ICU-CA) is associated with high mortality. To date, the incidence of ICU-CA and its clinical impact on outcome in the very old (≥ 90 years) patients treated is unknown.MethodsRetrospective analysis of all consecutive critically ill patients ≥ 90 years admitted to the ICU of a tertiary care university hospital in Hamburg (Germany). All patients suffering ICU-CA were included and CA characteristics and functional outcome was assessed. Clinical course and outcome were assessed and compared between the subgroups of patients with and without ICU-CA.Results1,108 critically ill patients aged ≥ 90 years were admitted during the study period. The median age was 92.3 (91.0–94.2) years and 67% (n = 747) were female. 2% (n = 25) of this cohort suffered ICU-CA after a median duration 0.5 (0.2–3.2) days of ICU admission. The presumed cause of ICU-CA was cardiac in 64% (n = 16). The median resuscitation time was 10 (2–15) minutes and the initial rhythm was shockable in 20% (n = 5). Return of spontaneous circulation (ROSC) could be achieved in 68% (n = 17). The cause of ICU admission was primarily medical in the total cohort (ICU-CA: 48% vs. No ICU-CA: 34%, p = 0.13), surgical - planned (ICU-CA: 32% vs. No ICU-CA: 37%, p = 0.61) and surgical - unplanned/emergency (ICU-CA: 43% vs. No ICU-CA: 28%, p = 0.34). The median Charlson Comorbidity Index (CCI) was 2 (1–3) points for patients with ICU-CA and 1 (0–2) for patients without ICU-CA (p = 0.54). Patients with ICU-CA had a higher disease severity according to SAPS II (ICU-CA: 54 vs. No ICU-CA: 36 points, p < 0.001). Patients with ICU-CA had a higher rate of mechanically ventilation (ICU-CA: 64% vs. No ICU-CA: 34%, p < 0.01) and required vasopressor therapy more often (ICU-CA: 88% vs. No ICU-CA: 41%, p < 0.001). The ICU and in-hospital mortality was 88% (n = 22) and 100% (n = 25) in patients with ICU-CA compared to 17% (n = 179) and 28% (n = 306) in patients without ICU-CA. The mortality rate for patients with ICU-CA was observed to be 88% (n = 22) in the ICU and 100% (n = 25) in-hospital. In contrast, patients without ICU-CA had an in-ICU mortality rate of 17% (n = 179) and an in-hospital mortality rate of 28% (n = 306) (both p < 0.001).ConclusionThe occurrence of ICU-CA in very elderly patients is rare but associated with high mortality. Providing CPR in this cohort did not lead to long-term survival at our centre. Very elderly patients admitted to the ICU likely benefit from supportive care only and should probably not be resuscitated due to poor chance of survival and ethical considerations. Providing personalized assurances that care will remain appropriate and in accordance with the patient’s and family’s wishes can optimise compassionate care while avoiding futile life-sustaining interventions.

Fluid responsiveness in acute respiratory distress syndrome patients: a post hoc analysis of the HEMOPRED study.

Optimal fluid management in patients with acute respiratory distress syndrome (ARDS) is challenging due to risks associated with both circulatory failure and fluid overload. The performance of dynamic indices to predict fluid responsiveness (FR) in ARDS patients is uncertain. This post hoc analysis of the HEMOPRED study compared the performance of dynamic indices in mechanically ventilated patients with shock, with and without ARDS, to predict FR, defined as an increase in aortic velocity time integral (VTI) > 10% after passive leg raising (PLR). Among 540 patients, 117 (22%) had ARDS and were ventilated with a median tidal volume of 7.6 mL/kg [6.9-8.4] and a median positive end-expiratory pressure of 7 cmH2O [5-9]. FR was observed in 45 ARDS patients (39% vs 44% in non-ARDS patients, p = 0.384). Reliability of dynamic indices to predict FR remained consistent in ARDS patients, though with different thresholds. Collapsibility index of the superior vena cava (ΔSVC) showed the best predictive performance in both ARDS (area under the curve [AUC] = 0.763 [0.659-0.868]) and non-ARDS (AUC = 0.750 [0.698-0.802]) patients. A right to left ventricle end-diastolic area ratio > 0.8 or paradoxical septal motion were strongly linked to the absence of FR (> 80% specificity). FR was not associated with intensive care unit (ICU) mortality (47% vs. 46%, p = 1). However, hypovolemia, defined as an aortic VTI increase > 32% during PLR (median increase in patients with a partial SVC collapse) was independently associated with ICU mortality (odds ratio [OR] = 1.355 [1.077-1.705], p = 0.011), as well as pulse pressure variation (OR = 1.014 [1.001-1.026], p = 0.034). Performance of dynamic indices to predict FR appears preserved in ARDS patients, albeit with distinct thresholds. Hypovolemia, indicated by a > 32% increase in aortic VTI during PLR, rather than FR, was associated with ICU mortality in this population.

Sex differences in the outcome of critically Ill patients with COVID-19 - An international multicenter critical care consortium study

BackgroundSex differences in severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) susceptibility, illness severity, and hospital course are widely acknowledged. The effects of sex on outcomes experienced by patients with severe Coronavirus Disease 2019 (COVID-19) admitted to the intensive care unit (ICU) remains unknown. ObjectivesTo determine the effects of sex on ICU mortality in patients with COVID-19 MethodsThis retrospective analysis of an international multi-center prospective observational database included adults admitted to ICU for treatment of acute COVID-19 between 1st January 2020 and 30th June 2022. The primary outcome was ICU mortality. Multivariable Cox regression was used to ascertain the hazard of death (Hazard Ratio=HR) adjusted for pre-selected covariates. The secondary outcome was sex differences in complications of COVID-19 during hospital stay. ResultsOverall, 10,259 patients (3,314 females, 6,945 males) were included with a median age of 60 (interquartile range [IQR]=49–68) and 59 (IQR=49–67) years, respectively. Baseline characteristics were similar between sexes. More females were non-smokers (65% vs. 44 %, p < 0.01) and obese (39% vs. 30 %, p < 0.01), compared to males. Also, males received greater ICU intervention (mechanical ventilation, prone ventilation, vasopressors, and tracheostomy) than females. Males had a greater hazard of death (compared to females, HR=1.14; 95 % CI=1.02–1.26). Adjustment for complications during hospital stay did not alter the hazard of death (HR=1.16; 95 % CI=1.05–1.28). Males had a significantly elevated hazard of death among patients who received ECMO (HR=1.24; 95 % CI=1.01–1.53). Male sex was associated with cardiac arrest (adjusted OR [aOR]=1.37; 95 % CI=1.16–1.62) and PE (aOR=1.28; 95 % CI=1.06–1.55). ConclusionAmong patients admitted to ICU for severe COVID-19, males experienced higher severity of illness and more frequent intervention than females. Ultimately, the hazard of death was moderately elevated in males compared to females despite greater PE and cardiac arrest.

Impact of Omega-3 Fatty Acid Supplementation in Parenteral Nutrition on Inflammatory Markers and Clinical Outcomes in Critically Ill COVID-19 Patients: A Randomized Controlled Trial.

The heightened inflammatory response observed in COVID-19 patients suggests that omega-3 fatty acids (O3FA) may confer anti-inflammatory benefits. This randomized, double-blind, single-center clinical trial aimed to evaluate the effect of O3FA supplementation in parenteral nutrition (PN) on inflammatory markers in COVID-19 patients admitted to the intensive care unit (ICU). A total of 69 patients were randomized into three groups: one received standard lipid emulsion, and two received O3FA (Omegaven®) at doses of 0.1 g/kg/day and 0.2 g/kg/day, respectively, in addition to Smoflipid®. The primary outcomes measured were serum levels of C-reactive protein (CRP) and interleukin-6 (IL-6) on days 1, 5, and 10 of PN initiation. Secondary outcomes included additional inflammatory markers (TNF-α, IFN-γ, IL-1Ra, CXCL10), hepatic function, triglyceride levels, and clinical outcomes such as mortality and length of ICU and hospital stay. Results indicated a significant reduction in CRP, IL-6, and CXCL10 levels in the group receiving 0.1 g/kg/day O3FA compared to the control. Additionally, the higher O3FA dose was associated with a shorter ICU and hospital stay. These findings suggest that O3FA supplementation in PN may reduce inflammation and improve clinical outcomes in critically ill COVID-19 patients.

Association between serum alkaline phosphatase and clinical prognosis in patients with acute liver failure following cardiac arrest: a retrospective cohort study

BackgroundAcute liver failure (ALF) following cardiac arrest (CA) poses a significant healthcare challenge, characterized by high morbidity and mortality rates. This study aims to assess the correlation between serum alkaline phosphatase (ALP) levels and poor outcomes in patients with ALF following CA.MethodsA retrospective analysis was conducted utilizing data from the Dryad digital repository. The primary outcomes examined were intensive care unit (ICU) mortality, hospital mortality, and unfavorable neurological outcome. Multivariable logistic regression analysis was employed to assess the relationship between serum ALP levels and clinical prognosis. The predictive value was evaluated using receiver operator characteristic (ROC) curve analysis. Two prediction models were developed, and model comparison was performed using the likelihood ratio test (LRT) and the Akaike Information Criterion (AIC).ResultsA total of 194 patients were included in the analysis (72.2% male). Multivariate logistic regression analysis revealed that a one-standard deviation increase of ln-transformed ALP were independently associated with poorer prognosis: ICU mortality (odds ratios (OR) = 2.49, 95% confidence interval (CI) 1.31–4.74, P = 0.005), hospital mortality (OR = 2.21, 95% CI 1.18–4.16, P = 0.014), and unfavorable neurological outcome (OR = 2.40, 95% CI 1.25–4.60, P = 0.009). The area under the ROC curve for clinical prognosis was 0.644, 0.642, and 0.639, respectively. Additionally, LRT analyses indicated that the ALP-combined model exhibited better predictive efficacy than the model without ALP.ConclusionsElevated serum ALP levels upon admission were significantly associated with poorer prognosis of ALF following CA, suggesting its potential as a valuable marker for predicting prognosis in this patient population.

Impact of the timing of invasive mechanical ventilation in patients with sepsis: a multicenter cohort study

BackgroundThe potential adverse effects associated with invasive mechanical ventilation (MV) can lead to delayed decisions on starting MV. We aimed to explore the association between the timing of MV and the clinical outcomes in patients with sepsis ventilated in intensive care unit (ICU).MethodsWe analyzed data of adult patients with sepsis between September 2019 and December 2021. Data was collected through the Korean Sepsis Alliance from 20 hospitals in Korea. Patients who were admitted to ICU and received MV were included in the study. Patients were divided into ‘early MV’ and ‘delayed MV’ groups based on whether they were on MV on the first day of ICU admission or later. Propensity score matching was applied, and patients in the two groups were compared on a 1:1 ratio to overcome bias between the groups. Outcomes including ICU mortality, hospital mortality, length of hospital and ICU stay, and organ failure at ICU discharge were compared.ResultsOut of 2440 patients on MV during ICU stay, 2119 ‘early MV’ and 321 ‘delayed MV’ cases were analyzed. The propensity score matching identified 295 patients in each group with similar baseline characteristics. ICU mortality was lower in ‘early MV’ group than ‘delayed MV’ group (36.3% vs. 46.4%; odds ratio, 0.66; 95% confidence interval, 0.47–0.93; p = 0.015). ‘Early MV’ group had lower in-hospital mortality, shorter ICU stay, and required tracheostomy less frequently than ‘delayed MV’ group. Multivariable logistic regression model identified ‘early MV’ as associated with lower ICU mortality (odds ratio, 0.38; 95% confidence interval, 0.29–0.50; p < 0.001).ConclusionIn patients with sepsis ventilated in ICU, earlier start (first day of ICU admission) of MV may be associated with lower mortality.

Outcomes of lymphoma patients admitted to the ICU are not influenced by HIV status: a retrospective, observational cohort study.

Lymphoma patients may require intensive care (ICU) due to disease- or treatment-related complications. The lymphoma-HIV interaction complicates management, but whether outcomes are worse in these patients, when critically ill, is unclear. A retrospective observational cohort study reviewed outcomes of patients admitted to ICU, subsequent 5-year survival, and prognostic factors. General ICU at the UK National Centre for HIV Malignancy. Records between 2007-2020, identified the following cohorts: HIV lymphoma, lymphoma-alone, HIV-alone and patients without HIV/lymphoma. Patient demographics, lymphoma characteristics, ICU admission data, and survival outcomes were collected. Five-year survival outcomes were analyzed for the lymphoma cohorts. ICU outcomes were analyzed for all cohorts. Descriptive statistics summarized baseline characteristics and outcomes. Multivariate regression identified factors associated with ICU mortality. Of 5929 patients admitted to the ICU, 63 had HIV lymphoma and 43 had lymphoma-alone. Survival to ICU discharge was 71% and 72%, respectively. Adjusted log-odds ratio for ICU survival was significantly better in the comparator cohort. ICU survival between the HIV lymphoma and lymphoma-alone cohorts was not significantly different. Adjusted 5-year survival was not significantly different between lymphoma cohorts. Factors independently associated with a worse ICU survival prognosis were emergency admissions, APACHE II score, initial lactate, and day requiring level 3 support. Mechanical ventilation and higher APACHE II scores were independent risk factors for worse 5-year survival in the lymphoma cohorts. ICU outcomes and 5-year survival rates of lymphoma patients were unaffected by HIV status, revealing favorable outcomes in patients with HIV-related lymphoma admitted to the ICU.

A nomogram for predicting short-term mortality in ICU patients with coexisting chronic obstructive pulmonary disease and congestive heart failure

ObjectiveThis study aimed to develop and validate a nomogram for predicting 28-day and 90-day mortality in intensive care unit (ICU) patients who have chronic obstructive pulmonary disease (COPD) coexisting with congestive heart failure (CHF). MethodsAn extensive analysis was conducted on clinical data from the Medical Information Mart for Intensive Care IV database, covering patients over 18 years old with both COPD and CHF, who were were first-time ICU admissions between 2008 and 2019. The least absolute shrinkage and selection operator (LASSO) regression method was employed to screen clinical features, with the final model being optimized using backward stepwise regression guided by the Akaike Information Criterion (AIC) to construct the nomogram. The predictive model's discrimination and clinical applicability were evaluated via receiver operating characteristic (ROC) curves, calibration curves, the C-index, and decision curve analysi s (DCA). ResultsThis analysis was comprised of a total of 1948 patients. Patients were separated into developing and validation cohorts in a 7:3 ratio, with similar baseline characteristics between the two groups. The ICU mortality rates for the developing and verification cohorts were 20.8 % and 19.5 % at 28 days, respectively, and 29.4 % and 28.3 % at 90 days, respectively. The clinical characteristics retained by the backward stepwise regression include age, weight, systolic blood pressure (SBP), respiratory rate (RR), oxygen saturation (SpO2), red blood cell distribution width (RDW), lactate, partial thrombosis time (PTT), race, marital status, type 2 diabetes mellitus (T2DM), malignant cancer, acute kidney failure (AKF), pneumonia, immunosuppressive drugs, antiplatelet agents, vasoactive agents, acute physiology score III (APS III), Oxford acute severity of illness score (OASIS), and Charlson comorbidity index (CCI). We developed two separate models by assigning weighted scores to each independent risk factor: nomogram A excludes CCI but includes age, T2DM, and malignant cancer, while nomogram B includes only CCI, without age, T2DM, and malignant cancer. Based on the results of the AUC and C-index, this study selected nomogram A, which demonstrated better predictive performance, for subsequent validation. The calibration curve, C-index, and DCA results indicate that nomogram A has good accuracy in predicting short-term mortality and demonstrates better discriminative ability than commonly used clinical scoring systems, making it more suitable for clinical application. ConclusionThe nomogram developed in this study offers an effective assessment of short-term mortality risk for ICU patients with COPD and CHF, proving to be a superior tool for predicting their short-term prognosis.

Hyperoxia in Sepsis and Septic Shock: A Comprehensive Review of Clinical Evidence and Therapeutic Implications.

Sepsis and septic shock are leading causes of mortality in intensive care units, characterized by a dysregulated immune response to infection, leading to severe organ dysfunction. Oxygen therapy is a cornerstone of supportive care in sepsis management, aimed at correcting hypoxemia and improving tissue oxygenation. However, the administration of supplemental oxygen must be carefully managed to avoid hyperoxia, which can lead to oxidative stress and additional tissue damage. This review aims to comprehensively analyze the clinical evidence regarding hyperoxia in the context of sepsis and septic shock, evaluating its potential therapeutic benefits and risks and discussing the implications for clinical practice. A thorough literature review included observational studies, randomized controlled trials (RCTs), meta-analyses, and clinical guidelines. The review focuses on the pathophysiology of sepsis, the mechanisms of hyperoxia-induced injury, and the clinical outcomes associated with different oxygenation strategies. The evidence suggests that while oxygen is crucial in managing sepsis, the risk of hyperoxia-related complications is significant. Hyperoxia has been associated with increased mortality and adverse outcomes in septic patients due to mechanisms such as oxidative stress, impaired microcirculation, and potential worsening of organ dysfunction. RCTs and meta-analyses indicate that conservative oxygen therapy may be beneficial in reducing these risks, though optimal oxygenation targets remain under investigation. This review highlights the importance of careful oxygen management in sepsis and septic shock, emphasizing the need for individualized oxygen therapy to avoid the dangers of hyperoxia. Further research is required to refine oxygenation strategies, establish clear clinical guidelines, and optimize outcomes for sepsis and septic shock patients. Balancing adequate oxygenation with the prevention of hyperoxia-induced injury is crucial in improving the prognosis of these critically ill patients.

The clinical application value of multi-site mNGS detection of patients with sepsis in intensive care units

BackgroundSepsis remains a leading cause of mortality in intensive care units, and rapid and accurate pathogen detection is crucial for effective treatment. This study evaluated the clinical application of multi-site metagenomic next-generation sequencing (mNGS) for the diagnosis of sepsis, comparing its performance against conventional methods.MethodsA retrospective analysis was conducted on 69 patients with sepsis consecutively admitted to the Department of Intensive Care Medicine, Meizhou People’s Hospital. Samples of peripheral blood and infection sites were collected for mNGS and conventional method tests to compare the positive rate of mNGS and traditional pathogen detection methods and the distribution of pathogens. The methods used in this study included a comprehensive analysis of pathogen consistency between peripheral blood and infection site samples. Additionally, the correlation between the pathogens detected and clinical outcomes was investigated.ResultsOf the patients with sepsis, 57.97% experienced dyspnea, and 65.2% had underlying diseases, with hypertension being the most common. mNGS demonstrated a significantly higher pathogen detection rate (88%) compared to the conventional method tests (26%). The pathogen consistency rate was 60% between plasma and bronchoalveolar lavage fluid samples, and that of plasma and local body fluid samples was 63%. The most frequently detected pathogens were gram-negative bacteria, and Klebsiella pneumonia. There were no significant differences in the clinical features between the pathogens.ConclusionmNGS is significantly superior to conventional methods in pathogen detection. There was a notable high pathogen consistency detection between blood and local body fluid samples, supporting the clinical relevance of mNGS. This study highlights the superiority of mNGS in detecting a broad spectrum of pathogens quickly and accurately.Trial registrationNot applicable.

Clinical value of fibroblast growth factor 19 in predicting gastrointestinal dysfunction in patients with sepsis.

To assess the potential value of fibroblast growth factor 19 (FGF19) as a predictor of gastrointestinal (GI) dysfunction in patients with sepsis. A prospective study was conducted, and 209 patients who were diagnosed with sepsis and admitted to the intensive care unit (ICU) at teaching hospitals in China were enrolled from June 2023 to December 2023. The serum FGF19 level was determined at ICU admission. The differences in serum FGF19 levels between the two groups were compared via the Mann-Whitney U test, and Spearman's correlation coefficient was used to identify the correlations of the FGF19 concentration with other clinical variables and biomarkers. Receiver operating characteristic (ROC) analysis was used to determine the value of FGF19 in predicting GI dysfunction in patients with sepsis. The total ICU mortality rate was 13.3% (24/180). There was a tendency toward increased ICU mortality in patients with sepsis-associated GI dysfunction compared with patients without GI dysfunction with statistical significance (21.9% vs. 8.6%, p = 0.031). Serum FGF19 levels were significantly higher in patients with sepsis-associated GI dysfunction than in patients without GI dysfunction [355.1 (37.2, 2315.4) μg/mL vs. 127.4 (5.7, 944.2) μg/mL, p = 0.003]. The results of receiver operating characteristic (ROC) curve analysis revealed that the area under the ROC curve (AUC) for the ability of FGF19 to predict GI dysfunction in patients with sepsis was 0.773 (95% CI 0.712 ~ 0.827), which was greater than the predictive capacity of PCT [AUC = 0.632 (95% CI 0.562 ~ 0.804)]. Serum FGF19 could be considered as a novel predictor or biomarker of GI dysfunction in patients with sepsis.

Heart-type fatty acid binding protein (H-FABP) as an early biomarker in sepsis-induced cardiomyopathy: a prospective observational study

BackgroundSepsis-induced cardiomyopathy (SICM) is a common and life-threatening complication of sepsis, significantly contributing to elevated mortality. This study aimed to identify crucial indicators for the prompt and early assessment of SICM.MethodsPatients diagnosed with sepsis or SICM within 24 h of intensive care unit (ICU) admission were enrolled in this prospective observational study. Patients were assigned to the training set, validation set and external test set. The primary endpoint was 7-day ICU mortality, and the secondary endpoint was 28-day ICU mortality. Three machine learning algorithms were utilized to identify relevant indicators for diagnosing SICM, incorporating 64 indicators including serum biomarkers associated with cardiac, renal, and liver function, lipid metabolism, coagulation, and inflammation. Internal and external validations were performed on the screening results. Patients were then stratified based on the cut-off value of the most diagnostically effective biomarker identified, and their prognostic outcomes were observed and analyzed.ResultsA total of 270 patients were included in the training and validation set, and 52 patients were included in the external test set. Age, sex, and comorbidities did not significantly differ between the sepsis and SICM groups (P > 0.05). The support vector machine (SVM) algorithm identified six indicators with an accuracy of 84.5%, the random forest (RF) algorithm identified six indicators with an accuracy of 81.9%, and the logistic regression (LR) algorithm screened out seven indicators. Following rigorous selection, a diagnostic model for sepsis-induced cardiomyopathy was established based on heart-type fatty acid binding protein (H-FABP) (OR 1.308, 95% CI 1.170–1.462, P < 0.001) and retinol-binding protein (RBP) (OR 1.020, 95% CI 1.006–1.034, P < 0.05). H-FABP alone exhibited the highest diagnostic performance in both the internal (AUROC 0.689, P < 0.05) and external sets (AUROC 0.845, P < 0.05). Patients with SICM were further stratified based on an H-FABP diagnostic cut-off value of 8.335 ng/mL. Kaplan–Meier curve analysis demonstrated that elevated H-FABP levels at admission were associated with higher 7-day ICU mortality in patients with SICM (P < 0.05).ConclusionsThis study revealed that H-FABP concentrations measured within 24 h of patient admission could serve as a crucial biomarker for the early and rapid diagnosis and short-term prognostic evaluation of SICM.