Day Of Intensive Care Unit Admission Research Articles

Comparing gastrointestinal dysfunction score and acute gastrointestinal injury grade for predicting short-term mortality in critically ill patients

BACKGROUND The prognosis of critically ill patients is closely linked to their gastrointestinal (GI) function. The acute GI injury (AGI) grading system, established in 2012, is extensively utilized to evaluate GI dysfunction and forecast outcomes in clinical settings. In 2021, the GI dysfunction score (GIDS) was developed, building on the AGI grading system, to enhance the accuracy of GI dysfunction severity assessment, improve prognostic predictions, reduce subjectivity, and increase reproducibility. AIM To compare the predictive capabilities of GIDS and the AGI grading system for 28-day mortality in critically ill patients. METHODS A retrospective study was conducted at the general intensive care unit (ICU) of a regional university hospital. All data were collected during the first week of ICU admission. The primary outcome was 28-day mortality. Multivariable logistic regression analyzed whether GIDS and AGI grade were independent risk factors for 28-day mortality. The predictive abilities of GIDS and AGI grade were compared using the receiver operating characteristic curve, with DeLong’s test assessing differences between the curves’ areas. RESULTS The incidence of AGI in the first week of ICU admission was 92.13%. There were 85 deaths (47.75%) within 28 days of ICU admission. There was no initial 24-hour difference in GIDS between the non-survival and survival groups. Both GIDS (OR 2.01, 95%CI: 1.25-3.24; P = 0.004) and AGI grade (OR 1.94, 95%CI: 1.12-3.38; P = 0.019) were independent predictors of 28-day mortality. No significant difference was found between the predictive accuracy of GIDS and AGI grade for 28-day mortality during the first week of ICU admission (Z = -0.26, P = 0.794). CONCLUSION GIDS within the first 24 hours was an unreliable predictor of 28-day mortality. The predictive accuracy for 28-day mortality from both systems during the first week was comparable.

CLINICO-EPIDEMIOLOGICAL PROFILE OF COVID-19 PATIENTS ADMITTED TO TERTIARY CARE MEDICAL COLLEGE HOSPITAL IN SOUTH INDIA

Objective: This is a retrospective study done in tertiary care medical college hospital in south India to look for clinico-epidemiological profile of coronavirus disease 2019 (COVID-19) patients admitted to the intensive care unit (ICU). This study can help us in identifying the risk factors leading to increased mortality. Hence, identifying these factors can help us in modifying the treatment depending on the risk factors that are present. Methods: All patients who are diagnosed with COVID-19 with reverse transcription polymerase chain reaction positivity admitted to ICU are enrolled. Data are collected retrospectively by analyzing the medical case records and looking for all parameters, such as age, sex, underlying comorbidity, method of oxygen therapy, degree of severity, and inflammatory markers. All these data are analyzed and compared between survivors and non-survivors. Results: 81% were male patients in comparison to female patients contributing to 19%. 55% were <60 years and 45% were >60 years. Non-survivors had a mean age of 64.5 years. Average days of hospital admission, ICU admission, and onset of hypoxia after symptom onset were 4.2 days, 8.5 days, and 7.8 days, respectively. Average PaO2 and P/F ratio was 81.25 and 165.9, respectively. The average P/F ratio in non-survivors was 144 compared to survivors having 187. The average high-resolution computed tomography score on admission and discharge was 12.4 and 11.9, respectively. Regarding inflammatory markers average lactate dehydrogenase (LDH), Ferritin, and interleukin-6 were 462, 618.2, and 130.56, respectively. Non-survivors had increased LDH with a mean of 538.3 when compared to survivors having a mean of 421.4. Conclusion: This study showed that there is increased mortality with an increase in age, especially >60 years. Severe respiratory failure with P/F ratio<144 had increased mortality. Patients with increased LDH showed an increase in mortality.

EVALUATION OF THE ROLE OF SELECTIVE DIGESTIVE TRACT DECONTAMINATION IN PREVENTION OF VENTILATOR ASSOCIATED PNEUMONIA IN INTENSIVE CARE UNIT PATIENTS

Ventilator-associated pneumonia (VAP) is a significant nosocomial infection in critically ill patients, contributing to increased morbidity, mortality, and healthcare costs. The incidence of VAP in intensive care units (ICUs) ranges from 7% to 40%, with mortality rates potentially exceeding 50%1. Recent studies highlight that VAP affects approximately 27% of all critically ill patients, with 86% of these infections associated with mechanical ventilation. The attributable mortality of VAP varies, with some studies reporting an increase in mortality of up to 27%3. Pathogens such as Pseudomonas aeruginosa, Acinetobacter, and Stenotrophomonas maltophilia are linked to higher mortality rates4. Beyond mortality, VAP significantly extends ICU length of stay and increases healthcare costs5. The gastrointestinal tract plays a crucial role in VAP pathogenesis, as it often becomes colonized with Gram-negative bacteria during critical illness6. Interventions such as selective decontamination of the digestive tract (SDD), stress ulcer prophylaxis with sucralfate, and enteral feeding strategies are employed to reduce VAP incidence. While SDD has been shown to decrease VAP incidence and may positively impact mortality, it also poses a risk of promoting Gram-positive bacterial infections. SDD involves the use of non-absorbable antibiotics applied topically to the oropharynx and through a nasogastric tube, often supplemented with systemic antibiotics during the initial days of ICU admission. Recent guidelines and systematic reviews continue to emphasize the importance of accurate VAP diagnosis and effective antimicrobial therapy to improve patient outcomes and reduce healthcare burdens.

Outcomes and inflammation changes in different types of immunocompromised patients with critically ill COVID-19 admitted to ICU: a national multicenter study

BackgroundImmunocompromised patients face higher risks of Severe Acute Respiratory Syndrome Coronavirus 2 infection and co-infections, leading to a possibility of high disease severity and poor outcomes. Conversely, immunosuppression can mitigate the excessive inflammatory response induced by the virus, potentially reducing disease severity. This study aims to investigate the prognostic differences and early inflammatory response characteristics in various types of immunocompromised patients with severe coronavirus disease 2019 (COVID-19) admitted to intensive care unit (ICU), summarize their clinical features, and explore potential mechanisms.MethodsA retrospective analysis was conducted on critically ill COVID-19 patients admitted to the ICU of 59 medical centers in mainland China during the Omicron outbreak from November 2022 to February 2023. Patients were categorized into two groups based on their immunosuppression status: immunocompromised and immunocompetent. Immunocompromised patients were further subdivided by etiology into cancer patients, solid organ transplant (SOT) patients, and other immunocompromised groups, with immunocompetent patients serving as controls. The mortality rates, respiratory support, complications, and early inflammatory cytokine dynamics upon ICU admission among different populations were analyzed.ResultsA total of 2030 critically ill COVID-19 patients admitted to ICU were included, with 242 in the immunocompromised group and 1788 in the immunocompetent group. Cancer patients had a higher median age of 69 years (IQR 59, 77), while SOT patients were generally younger and had less severe illness upon ICU admission, with a median APACHE II score of 12.0 (IQR 8.0, 20.0). Cancer patients had a twofold increased risk of death (OR = 2.02, 95% CI 1.18–3.46, P = 0.010) compared to immunocompetent patients. SOT and cancer patients exhibited higher C-reactive protein and serum ferritin levels than the immunocompetent group in their early days of ICU admission. The CD8+ T cells dynamics were inversely correlated in cancer and SOT patients, with Interleukin-6 levels consistently lower in the SOT group compared to both immunocompetent and cancer patients.ConclusionCritically ill COVID-19 patients admitted to the ICU exhibit distinct clinical outcomes based on their immunosuppression status, with cancer patients facing the highest mortality rate due to variations in inflammatory responses linked to their immunosuppression mechanisms. Monitoring dynamic changes in inflammatory markers and immune cells, particularly CD8+ T lymphocytes and IL-6, may offer valuable prognostic insights for these patients.

Investigating stress, social support, and decisional conflict dynamics in surrogates of intensive care unit patients with cancer.

The purpose of this study is to examine fluctuations in stress, social support, and decisional conflict among surrogates during the admission and discharge phases of intensive care unit (ICU) patients with cancer. Additionally, this study seeks to identify the factors that influence changes in decisional conflict experienced by these surrogates. This study involved surrogates of ICU patients with cancer. Data were collected within three days of ICU admission and during the discharge phase. The study included 115 surrogates of ICU patients with cancer. Following ICU discharge, the surrogates experienced a significant reduction in mean stress levels (t = - 7.205; p < .001), improved family support (t = 3.748; p < .001), and decreased support from healthcare professionals (t = - 3.286; p = .001). Younger surrogates, high-stress levels in surrogates, and low social support from healthcare professionals were associated with high decisional conflict. Stepwise multiple regression analysis indicated that surrogates' age, changes in stress, and changes in healthcare professionals' support explained 5%, 8%, and 16% of the variation in changes in decisional conflict, respectively. To effectively reduce decisional conflict, particularly during the transition of patients with cancer from the ICU, a robust support system and comprehensive information on the treatment and prognosis of diseases in patients with cancer should be provided to younger surrogates. Healthcare professionals can facilitate family meetings and ensure comprehensive communication of the treatment plan. Practical guidance, social work assistance, timely clarification, and thorough information healthcare professionals provide can effectively mitigate decisional conflicts and enhance decision-making processes.

Prognosis of major bleeding based on residual variables and machine learning for critical patients with upper gastrointestinal bleeding: A multicenter study

BackgroundUpper gastrointestinal bleeding (UGIB) is a significant cause of morbidity and mortality worldwide. This study investigates the use of residual variables and machine learning (ML) models for predicting major bleeding in patients with severe UGIB after their first intensive care unit (ICU) admission. MethodsThe Medical Information Mart for Intensive Care IV and eICU databases were used. Conventional ML and long short-term memory models were constructed using pre-ICU and ICU admission day data to predict the recurrence of major gastrointestinal bleeding. In the models, residual data were utilized by subtracting the normal range from the test result. The models included eight algorithms. Shapley additive explanations and saliency maps were used for feature interpretability. ResultsTwenty-five ML models were developed using data from 2604 patients. The light gradient-boosting machine algorithm model using pre-ICU admission residual data outperformed other models that used test results directly, with an AUC of 0.96. The key factors included aspartate aminotransferase, blood urea nitrogen, albumin, length of ICU admission, and respiratory rate. ConclusionsML models using residuals improved the accuracy and interpretability in predicting major bleeding during ICU admission in patients with UGIB. These interpretable features may facilitate the early identification and management of high-risk patients, thereby improving hemodynamic stability and outcomes.

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.

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.

Association between the anion-gap and 28-day mortality in critically ill adult patients with sepsis: A retrospective cohort study.

Metabolic acidosis is usually associated with the severity of the condition of patients with sepsis or septic shock. Serum anion gap (AG) is one of the indicators of response metabolism. This study was performed to investigate whether the initial serum AG is associated with the 28-day mortality in critically ill adult patients with sepsis. This retrospective cohort study, a total of 15,047 patients with confirmed Sepsis disease from 2008 to 2019 from the Medical Information Mart for Intensive Care IV (MIMIC-IV) v1.0 database. The MIMIC-IV database is a comprehensive, de-identified clinical dataset originating from the Beth Israel Deaconess Medical Center in Boston, it includes extensive data on intensive care unit (ICU) patients, such as vital signs, lab results, and medication orders, spanning multiple years, accessible to researchers through an application process. AG can be obtained by direct extraction in the MIMIC-IV database (itemid = 50,868 from the laboratory events table of mimic_hosp), inclusion of AG values for the first test on first day of ICU admission. The patients were grouped into quartiles according to the AG interquartile range. The primary outcome was the 28-day mortality. Multiple logistic regression analysis was used to calculate the odds ratio (OR), while accounting for potential confounders, and the robustness of the results were evaluated in subgroup analyses. Among the 15,047 patients included in this study, the average age was 65.9 ± 16.0 years, 42.5% were female, 66.1% were Caucasian, and the 28-day mortality rate was 17.9% (2686/15,047). Multiple logistic regression analysis revealed the 28-day mortality in every increase of AG (per SD mEq/L), there is an associated 1.2 times (OR 1.2, 95% CI 1.12-1.29, P < .001) increase. Increased 28-day mortality (OR 1.53, 95% confidence interval 1.29-1.81, P < .001) in the group with the AG (15-18 mEq/L), and (OR 1.69, 95% confidence interval 1.4-2.04, P < .001) in the group with the highest AG (≥18 mEq/L), AG (<12 mEq/L) as a reference group, in the fully adjusted model. In adult patients with sepsis, the early AG at the time of ICU admission is an independent risk factor for prognosis.

Epidemiology of civilian's gunshot wound injuries admitted to intensive care unit: A retrospective, multi-center study

BackgroundFew studies investigated the outcome of patients admitted to intensive care unit (ICU) for gunshot wounds (GSW). The purpose of this study was to determine the 28-day mortality, and to analyze the impact of variables on the mortality of patients admitted to ICU with GSW in four French University Hospitals level-1 regional trauma centers. MethodAll medical files of adult patients (above fifteen years old) admitted to four French University Hospitals level-1 regional trauma centers for GSW were retrospectively analyzed from January 1st 2015 to June 30th 2021. The primary aim was to determine 28-day death rate of patients admitted in ICU for GSW. The secondary aim was to describe biological parameters, injuries and management of patients admitted to our ICUs, and to identify the variables associated with the 28-day mortality rate. A multivariate analysis allowed determining independent mortality factors. A Kaplan-Meier analysis compared mortality according to head injury. ResultsAmong 17,262 patients screened, 173 (1 %) were admitted for GSW and 162 were analyzed. The 28-day mortality rate was 24.7 %. 77.5 % of deaths occurred within the first 48 h after ICU admission, and 87.5 % of deaths within three days of ICU admission. The 28-day death rate of patients with head injury was significantly higher as compared to patients without head injury (p < 0.001). Out of forty deaths, twenty-three (57.5 %) were due to head injury, and nine (22.5 %) were due to bleeding. The mechanisms were assault (45.1 %), suicide (34.6 %), accident (4.9 %) and unidentified (15.4 %). In a multivariate analysis, variables associated with the 28-day death rate were age, pre-hospital Glasgow coma score, and Injury Severity Score. ConclusionGSW represented 1 % of ICU admission. The 28-day mortality rate was 24.7 %. 77.5 % of deaths occurred within the first 48 h due to head injuries and bleeding. Head injuries were associated with significantly higher mortality rate.

Recovery from severe cardio-respiratory failure: the trajectory of muscle mass, strength, function and health related quality of life

Abstract Background The impact of intensive care unit acquired weakness (ICUAW) is associated with reduced muscle mass, strength, function and health related quality of life (HRQoL). Patients suffering from severe cardio-respiratory failure are known to lose considerable muscle mass and strength in the first 7 days of admission to the intensive care unit (ICU). Furthermore, patients surviving critical illness have a considerable less HRQoL and physical function with long term outcomes such as inability to return to work being reported. However, more information regarding muscle loss and recovery is required when patients leave hospital. Currently there are no treatments for ICUAW as once the process is established management is supportive, such as physical therapy. Purpose We Sought to investigate the effects of severe cardio-respiratory failure, in patients receiving extra corporeal membrane oxygenation (ECMO), on ICUAW (including muscle mass, strength, function and HRQoL). Researching a real life model of ICUAW allows the observation of the loss of muscle mass and strength in the first stages of critical illness and severe cardio-respiratory failure. Methods Adults receiving ECMO for severe cardiorespiratory failure were included. Muscle mass was measured using ultrasound of the rectus femoris cross sectional area (RFcsa). Muscle strength was measured using hand held dynamometry for both hand held grip strength and isometric leg extension. HRQoL was measured using the EQ-5D-5L. Function was measured using the short physical performance battery (SPPB). Measurements were taken on day 0, day 7, ICU discharge, hospital discharge and at out-patient follow up. Results 17 patients were recruited with 10 patients completing follow up. Patients lost 24% muscle mass in the first 7 days of ICU admission and ECMO initiation, with muscle loss continuing up until ICU discharge. Contrary to the hypothesis only 50% of the patients were seen to recover muscle mass at follow up. Strength and function all considerably improved between ICU discharge and out patient follow up. The EQ5D crosswalk index supported this suggesting considerable functional improvement. Conclusion Patients in severe cardio-respiratory failure lose considerable muscle mass in the first 7 days of admission, with only 50% of these patients recovering the initial muscle loss at follow up. However, strength, function and HRQoL all improve following ICU discharge suggesting an element of functional recovery. Strength and function have shown to improve regardless of the status of the muscle mass. Therefore, given the advantages of the real-life model and novel findings, this could serve as a platform to assess muscle loss and recovery over a longer time frame continuing to build the understanding of the patients recovery trajectory from critical illness.Rectus Femoris Muscle MassHand-Held Grip Strength

Healthcare Use and Costs in Children Receiving Home Mechanical Ventilation in Ontario: A 14-Year Cohort Study.

Rationale: Home mechanical ventilation (HMV) is an advanced medical therapy offered to children with medical complexity. Despite the growing pediatric HMV population in North America, there are limited studies describing healthcare use and predictors of highest costs using robust health administrative data. Objectives: To describe patterns of healthcare use and costs in children receiving HMV over a 14-year period in Ontario, Canada. Methods: We conducted a retrospective population-based cohort study (April 1, 2003, to March 31, 2017) of children aged 0-18 years receiving HMV via invasive mechanical ventilation or noninvasive ventilation. Paired t tests compared healthcare system use and costs 2 years before and 2 years after HMV approval. We developed linear models to analyze variables associated with children in the top quartile of health service use and costs. Results: We identified 835 children receiving HMV. In the 2 years after HMV approval compared with the 2 years prior, children had decreased hospitalization days (median, 9 [interquartile range, 3-30] vs. 29 [6-99]; P < 0.0001) and intensive care unit admission days (6.6 [1.9-18.0] vs. 17.1 [3.3-70.9]; P < 0.0001) but had increased homecare service approvals (195 [24-522] vs. 40 [12-225]; P < 0.0001) and outpatient pulmonology visits (3 [1-4] vs. 2 [1-3]; P < 0.0001). Total healthcare costs were higher in the 2 years after HMV approval (mean, CAD$164,892 [standard deviation, CAD$214,187] vs. CAD$128,941 [CAD$194,199]; P < 0.0001). However, all-cause hospital admission costs were reduced (CAD$66,546 [CAD$142,401] vs. CAD$81,578 [CAD$164,672]; P < 0.0001). The highest total 2-year costs were associated with invasive mechanical ventilation (odds ratio [OR], 3.45; 95% confidence interval [CI], 2.24-5.31; reference noninvasive ventilation), number of medical devices at home (OR, 1.63; 95% CI, 1.35-1.96; reference no technology), and increased healthcare costs in the year before HMV initiation (OR, 2.23; 95% CI, 1.84-2.69). Conclusions: Children progressing to the need for HMV represent a worsening in their respiratory status that will undoubtedly increase healthcare use and costs. We found that the initiation of HMV in these children can reduce inpatient healthcare use and costs but can still increase overall healthcare expenditures, especially in the outpatient setting.

Predictive value of plasma exosome count for the prognosis in septic patients

To investigate the predictive value of plasma exosome count for the prognosis of patients with sepsis. A prospective observational study was conducted. The patients with sepsis admitted to intensive care unit (ICU) of Zhejiang Hospital from November 2020 to December 2021 were enrolled as the study subjects. On the 1st day of admission to the ICU, the patient's gender, age, underlying disease, infection site, mean arterial pressure (MAP) and severity scores were recorded, and venous blood was taken for detecting the blood routine, blood biochemistry, and procalcitonin (PCT), and arterial blood was taken for blood gas analysis, simultaneously, the patient's noradrenaline (NA) dosage was recorded. On the 1st, 3rd, 5th, and 7th day of ICU admission, plasma exosomes were extracted, and the number of exosomes was detected by nanoparticle tracking analyzer. The endpoint of observation was the death of the patient 28 days after admission to the ICU. The differences in baseline data and plasma exosome counts of patients with different 28-day prognosis were analyzed and compared. The Spearman correlation method was used to analyze the correlation between plasma exosome counts and other clinical indicators. Binary multivariate Logistic regression analysis was used to screen the 28-day death risk factors of septic patients. The receiver operator characteristic curve (ROC curve) was plotted to analyze the predictive value of each index on the 28-day death of septic patients. The Kaplan-Meier method was used to analyze the 28-day survival curve. A total of 26 patients with sepsis were enrolled, of whom 21 survived and 5 died on the 28th day. Compared with the survival group, the patients in the death group had lower MAP, higher sequential organ failure assessment (SOFA) score, acute physiology and chronic health evaluation II (APACHE II) score, white blood cell count (WBC), cardiac troponin I (cTnI), and worse oxygenation. The plasma exosome count on the 1st day of ICU admission in the death group was significantly higher than that in the survival group (×1015/L: 16.96±9.11 vs. 5.20±2.42, P < 0.05). Subsequently, the plasma exosome counts in both groups continued to decrease, and there was no statistically significant difference between the two groups. Spearman correlation analysis showed that the plasma exosome count on the 1st day of ICU admission in septic patients was significantly positively correlated with SOFA score, APACHE II score, blood lactic acid (Lac), alanine aminotransferase (ALT) and NA dosage (r values were 0.572, 0.585, 0.463, 0.411, 0.696, all P < 0.05), and it significantly negatively correlated with MAP and oxygenation index (PaO2/FiO2; r values were -0.392 and -0.496, both P < 0.05). Multivariate Logistic regression analysis showed that plasma exosome count on the 1st day of ICU admission was an independent risk factor for 28-day death in septic patients [odds ratio (OR) = 1.385, 95% confidence interval (95%CI) was 1.075-1.785, P = 0.012]. ROC curve analysis showed that the area under the ROC curve (AUC) of plasma exosome count on the 1st day of ICU admission for predicting 28-day death in septic patients was 0.800 (95%CI was 0.449-1.000); when the optimal cut-off value was 14.50×1015/L, the sensitivity was 80.0% and the specificity was 100%. According to the optimal cut-off value of 1-day plasma exosome count, the patients were divided into two groups for Kaplan-Meier survival curve analysis, and the results showed that the cumulative survival rate of patients with plasma exosome count < 14.50×1015/L was significantly higher than that of patients with plasma exosome count ≥ 14.50×1015/L (Log-Rank test: χ 2 = 19.100, P < 0.001). The plasma exosome count of septic patients is significantly increased on the 1st day of admission to the ICU, which is related to the severity, and can predict the risk of death at 28 days.

Predictive value of the dynamics of absolute lymphocyte counts for 90-day mortality in ICU sepsis patients: a retrospective big data study

ObjectivesThe objective of the study was to assess the clinical predictive value of the dynamics of absolute lymphocyte count (ALC) for 90-day all-cause mortality in sepsis patients in intensive care...

Association between hyperglycemia at ICU admission and postoperative acute kidney injury in patients undergoing cardiac surgery: Analysis of the MIMIC-IV database

BackgroundThis study aimed to explore the correlation between hyperglycemia at intensive care unit (ICU) admission and the incidence of acute kidney injury (AKI) in patients after cardiac surgery. MethodsWe conducted a retrospective cohort study, in which clinical data were extracted from the Medical Information Mart for Intensive Care (MIMIC)-IV database. Adults (≥18 years) in the database who were admitted to the cardiovascular intensive care unit after cardiac surgery were enrolled. The primary outcome was the incidence of AKI within 7 days following ICU admission. Secondary outcomes included ICU mortality, hospital mortality, ICU length of stay, and the 28-day and 90-day mortality. Multivariable Cox regression analysis was used to assess the association between ICU-admission hyperglycemia and AKI incidence within 7 days of ICU admission. Different adjustment strategies were used to adjust for potential confounders. Patients were divided into three groups according to their highest blood glucose levels recorded within 24 h of ICU admission: no hyperglycemia (<140 mg/dL), mild hyperglycemia (140–200 mg/dL), and severe hyperglycemia (≥200 mg/dL). ResultsOf the 6905 included patients, 2201 (31.9%) were female, and the median (IQR) age was 68.2 (60.1–75.9) years. In all, 1836 (26.6%) patients had severe hyperglycemia. The incidence of AKI within 7 days of ICU admission, ICU mortality, and hospital mortality was significantly higher in patients with severe admission hyperglycemia than those with mild hyperglycemia or no hyperglycemia (80.3% vs. 73.6% and 61.2%, respectively; 2.8% vs. 0.9% and 1.9%, respectively; and 3.4% vs. 1.2% and 2.5%, respectively; all P <0.001). Severe hyperglycemia was a risk factor for 7-day AKI (Model 1: hazard ratio [HR]=1.4809, 95% confidence interval [CI]: 1.3126 to 1.6707; Model 2: HR=1.1639, 95% CI: 1.0176 to 1.3313; Model 3: HR=1.2014, 95% CI: 1.0490 to 1.3760; all P <0.050). Patients with normal glucose levels (glucose levels <140 mg/dL) had a higher 28-day mortality rate than those with severe hyperglycemia (glucose levels ≥200 mg/dL) (4.0% vs. 3.8%, P <0.001). ConclusionsIn post-cardiac surgery patients, severe hyperglycemia within 24 h of ICU admission increases the risk of 7-day AKI, ICU mortality, and hospital mortality. Clinicians should be extra cautious regarding AKI among patients with hyperglycemia at ICU admission after cardiac surgery.

Association Between Pupil Light Reflex and Delirium in Adults With Traumatic Brain Injury: Preliminary Findings.

BACKGROUND: Delirium is a common neurological complication in patients admitted to the intensive care unit (ICU) after moderate to severe traumatic brain injury (TBI). Although current clinical guidelines prioritize delirium prevention, no specific tool is tailored to detect early signs of delirium in TBI patients. This preliminary 2-phase observational study investigated the correlation between the pupillary light reflex (PLR), measured with a pupillometer during mechanical ventilation, and the development of postextubation delirium in TBI patients. METHODS: A convenience sample of 26 adults with moderate to severe TBI under mechanical ventilation was recruited during their ICU stay. In phase I, PLR measurements were performed in the first 3 days of ICU admission using automated infrared pupillometry. In phase II, 2 raters independently extracted delirium data in the 72 hours post extubation period from medical records. Delirium was confirmed with a documented medical diagnosis. Point-biserial correlations ( rpb ) were used to examine the association between PLR scores and the presence of postextubation delirium. Student t tests were also performed to compare mean PLR scores between patients with and without delirium. RESULTS: Ten TBI patients (38%) were diagnosed with postextubation delirium, whereas 16 (62%) were not. Significant correlations between delirium and 2 PLR variables were found: pupil constriction percentage ( rpb (24) = -0.526, P = .006) and constriction velocity ( rpb (24) = -0.485, P = .012). The t test also revealed a significant difference in constriction percentage and velocity scores between TBI patients with and without delirium ( P ≤ .01). CONCLUSION: Our findings suggest that the use of pupillometry in the first 3 days of mechanical ventilation during an ICU stay may help identify TBI patients at risk for delirium after extubation. Although further research is necessary to support its validity, this technological tool may enable ICU nurses to better screen TBI patients for delirium and prevent its development.

Association between emergency department disposition and mortality in patients with COVID-19 acute respiratory distress syndrome.

Patients hospitalized for COVID-19 frequently develop hypoxemia and acute respiratory distress syndrome (ARDS) after admission. In non-COVID-19 ARDS studies, admission to hospital wards with subsequent transfer to intensive care unit (ICU) is associated with worse outcomes. We hypothesized that initial admission to the ward may affect outcomes in patient with COVID-19 ARDS. This was a retrospective study of consecutive adults admitted for COVID-19 ARDS between March 2020 and March 2021 at Stanford Health Care. Mortality scores at hospital admission (Coronavirus Clinical Characterization Consortium Mortality Score [4C score]) and ICU admission (Simplified Acute Physiology Score III [SAPS-III]) were calculated, as well as ROX index for patients on high flow nasal oxygen. Patients were classified by emergency department (ED) disposition (ward-first vs. ICU-direct), and 28- and 60-day mortality and highest level of respiratory support within 1 day of ICU admission were compared. A second cohort (April 2021‒July 2022, n=129) was phenotyped to validate mortality outcome. A total of 157 patients were included, 48% of whom were first admitted to the ward (n=75). Ward-first patients had more comorbidities, including lung disease. Ward-first patients had lower 4C and similar SAPS-III score, yet increased mortality at 28 days (32%vs. 17%, hazard ratio [HR] 2.0, 95% confidence interval [95% CI] 1.0‒3.7, p=0.039) and 60 days (39%vs. 23%, HR 1.83, 95% CI 1.04‒3.22, p=0.037) compared to ICU-direct patients. More ward-first patients escalated to mechanical ventilation on day 1 of ICU admission (36%vs. 14%, p=0.002) despite similar ROX index. Ward-first patients who upgraded to ICU within 48h of ED presentation had the highest mortality. Mortality findings were replicated in a sensitivity analysis. Despite similar baseline risk scores, ward-first patients with COVID-19 ARDS had increased mortality and escalation to mechanical ventilation compared to ICU-direct patients. Ward-first patients requiring ICU upgrade within 48h were at highest risk, highlighting a need for improved identification of this group at ED admission.

Effect of Admission Day and Time on Patient Outcome: An Observational Study in Intensive Care Units of a Tertiary Care Hospital in India.

The current study aimed to assess any association between intensive care unit (ICU) and hospital outcomes with ICU admission timings of critically ill patients. Retrospective observational single-center study involving all adult admissions. Each patient admission was categorized in "after-hours" (08:00 p.m.-07:59 a.m.), or "normal-hours" (08:00 a.m.-07:59 p.m.), "Weekday" (Monday-Saturday), or "Weekend" (Sunday), "Same day" (admission directly to ICU) or "other day admission" (admission to ICU after a hospital stay of ≥24 hours). Intensive care unit and hospital mortality, length of stay (LOS), and ICU readmission were assessed for any association with different admission timings. Among 3,029 patients, 54.2% (1,668) were male, with mean age 66.49 (SD ± 15.69) years, mean acute physiology and chronic health evaluation-IV (APACHE-IV) score 55.5 (SD ± 26.3). Around 86.1% of admission occurred during weekdays, 13.9% on weekends, 57.4% normal-hours, 42.6% after-hours, 66.3% same day and 33.7% other day admission. Intensive care unit and hospital mortality were 10.8 and 14.2% respectively. Neither ICU nor hospital mortality were significantly different among patients admitted normal vs after-hours (p = 0.32, 0.23), and weekdays vs weekends (p = 0.09, 0.93), nor was ICU LOS (p = 0.21, 0.74). Intensive care unit and hospital mortality (p = 0.001), DORB (p = 0.001), hospital LOS (p = 0.001), and readmission to ICU (p = 0.001) were significantly higher in the other day admission group compared to same-day admission. In a multivariate regression analysis age, APACHE IV score along with other day admission to ICU did have a significant effect on both ICU and hospital mortality. Intensive care unit and hospital mortality and LOS did not differ significantly with hours or days of ICU admission though they were significantly higher in other day admission groups. Bhattacharyya M, Todi SK. Effect of Admission Day and Time on Patient Outcome: An Observational Study in Intensive Care Units of a Tertiary Care Hospital in India. Indian J Crit Care Med 2024;28(5):436-441.

Diethylene glycol poisoning from transcutaneous absorption: Case report

Introduction: Diethylene glycol (DEG) has been implicated in several cases of poisoning over the years. The most common mechanism of poisoning is accidental or deliberate ingestion of anti-freezer; however, poisoning from transcutaneous absorption is extremely rare. Treatment is not well defined but fomepizole or ethanol can be an effective antidote specially if started early. Furthermore, early hemodialysis will reduce the burden of toxic metabolites. Case report: Here, we report a rare case of diethylene glycol poisoning from transcutaneous absorption. Our patient presented complaining of gastrointestinal and renal symptoms. Initial laboratory results showed values consistent with acute kidney injury and metabolic acidosis. Therefore, hemodialysis was started right away. On the 7th day of admission, the patient started showing features suggestive of impending respiratory failure which prompted a transfer to intensive care unit (ICU) for mechanical ventilation. After ICU admission, the patient’s family reported previously concealed history of the patient applying brake fluid, a substance containing diethylene glycol, as traditional remedy for rash. Unfortunately, at that time, the antidote for diethylene glycol poisoning was not available in our country, Ethiopia. Hence, supportive treatment alone was given. Regrettably, the patient died on the 12th day of ICU admission. Conclusion: This case represents the unique clinical aspects of DEG poisoning. It also underscores the importance of suspecting DEG poisoning in acute renal failure patients with poor response to hemodialysis. Furthermore, taking detailed history will provide the initial clue to consider DEG poisoning. Lastly, further study should be done to identify factors that determine the occurrence of DEG poisoning from cutaneous brake fluid exposure.

Sarcopenia is independently associated with mortality and recovery from dialysis in critically ill patients with sepsis-induced acute kidney injury receiving continuous renal replacement therapy.

Sarcopenia upon admission to the intensive care unit (ICU) consistently correlates with adverse outcomes, including heightened mortality, in critically ill patients. This study aims to investigate the independent association of sarcopenia with both mortality and recovery from dialysis in critically ill patients with sepsis-induced acute kidney injury (SIAKI) undergoing continuous renal replacement therapy (CRRT). This retrospective study included 618 patients with SIAKI who underwent CRRT in our ICU. All patients had abdominal computed tomography (CT) scans within 3 days preceding ICU admission. The cross-sectional area of skeletal muscles at the third lumbar vertebra was quantified, and the skeletal muscle index (SMI), a normalized measure of skeletal muscle mass, was computed. Using Korean-specific SMI cutoffs, patients were categorized into sarcopenic and non-sarcopenic groups. Among the 618 patients, 301 expired within 28 days of ICU admission. Multivariable Cox regression analysis revealed that sarcopenia independently predicted 28-day mortality. Among survivors, sarcopenia was independently associated with recovery from dialysis within 28 days after ICU admission. Kaplan-Meier analysis illustrated that sarcopenic patients had a higher mortality rate and a lower rate of recovery from dialysis within 28 days after ICU admission compared to non-sarcopenic patients. This study underscores the independent association of sarcopenia, assessed via CT-derived SMI, with both mortality and recovery from dialysis in critically ill patients with SIAKI undergoing CRRT. The inclusion of sarcopenia assessment could serve as a valuable tool for physicians in effectively stratifying the risk of adverse outcomes in these patients.