Day Of Intensive Care Unit Admission Research Articles

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.

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.

The lactate-to-albumin ratio relationship with all-cause mortality in cerebral infarction patients: analysis from the MIMIC-IV database.

To examine the association of lactate-to-albumin ratio (LAR) with 30-day and 90-day mortality in patients with cerebral infarction admitted to the intensive care unit (ICU). In this retrospective observational study, 1,089 patients with cerebral infarction were recruited. The concentration of blood lactate and serum albumin on the first day of ICU admission were recorded. The relationship between LAR levels and mortality was evaluated through univariate and multivariate Cox regression analyses, four-knot multivariate restricted cubic spline regression, and Kaplan-Meier (KM) curves. The overall 30-day and 90-day mortality rates in the entire cohort were 27.3 and 35.8%, respectively. KM analysis revealed a significant relationship between high LAR index and the risk of all-cause mortality (log-rank p < 0.001). Furthermore, multivariate Cox proportional risk analysis showed that the LAR index independently predicted the risk of 30-day mortality (HR: 1.38, 95% CI 1.15-1.64, p = 0.004) and 90-day mortality (HR: 1.53, 95% CI 1.32-1.77, p < 0.001) in the study population. Furthermore, a higher LAR exceeding 0.53 was positively correlated with the risk of 30-day and 90-day mortalities. Subsequent subgroup analyses demonstrated that LAR could predict the primary outcome. In summary, the LAR index is a reliable and independent predictor of increased mortality among critically ill patients suffering from cerebral infarction. Nonetheless, there is a need for additional comprehensive prospective studies to validate these findings.

Nutrition adequacy in the late period of the acute phase is associated with a lower risk of 30-day mortality in critically ill patients: A prospective cohort study.

The provision of nutrition support for critically ill patients in the early phase of intensive care unit (ICU) admission plays a vital role in their recovery. However, there is still debate regarding the impact of nutrition adequacy of critical illness phases. We aimed to investigate whether nutrition adequacy in the acute phase (early and late periods) is associated with 30-day mortality in critically ill patients. We prospectively collected nutrition and clinical data from critically ill patients receiving exclusive enteral nutrition (EN) within the first 10 days of ICU admission. EN was classified as adequate when ≥80% of the prescribed EN was administered. Directed acyclic graphs were constructed to identify the minimum set of adjustment variables required to control for confounding factors. The relationships between energy and protein intake and 30-day mortality were assessed using the Cox regression analysis. A total of 119 patients were evaluated (70 years old, 56.3% male, and 68.1% with medical admission). The 30-day mortality rate was 23%. After adjusting for confounders, in the late period (days 5-10), energy adequacy (hazard ratio [HR] = 0.960; 95% CI, 0.937-0.984) and protein adequacy (HR = 0.960; 95% CI, 0.937-0.982) were predictors of 30-day mortality. No associations were observed in the early period (days 1-4) of the acute phase. In critically ill patients, nutrition adequacy (≥80% EN) during days 5-10 in the ICU was associated with a lower risk of 30-day mortality.

Outcomes and Long-Term Survival of Adolescent and Young Adult Patients Admitted to the Intensive Care Unit Following Allogeneic Hematopoietic Stem Cell Transplantation: A Single-Center Experience of 152 Patients.

Prognostic factors reliably predicting outcomes for critically ill adolescent and young adult (AYA) patients undergoing allogeneic hematopoietic cell transplantation (allo-HSCT) are lacking. We assessed transplant and intensive care unit (ICU)-related factors impacting patient outcomes. AYA patients who underwent allo-HSCT and required ICU admission at a Tertiary care Centre, during the period of 2003-2013, were included in this retrospective review. This was a non-interventional study. Only outcomes after the first allo-HSCT and index ICU admissions were analyzed. Disease-, transplant-, and ICU-related variables were analyzed to identify risk factors predictive of survival. Overall, 152 patients were included (males, 60.5%); median age at transplantation was 24 years (interquartile range [IQR] 18-32.5); median age at admission to the ICU was 25.8 years (IQR 19-34). Eighty-four percent underwent transplantation for a hematological malignancy; 129 (85%) received myeloablative conditioning. Seventy-one percent of ICU admissions occurred within the first year after allo-HSCT. ICU admission was primarily due to respiratory failure (47.3%) and sepsis (43.4%). One hundred and three patients (68%) died within 28 days of ICU admission. The 1- and 5-year overall survival rates were 19% and 17%, respectively. Main causes for ICU-related death were refractory septic shock with multiorgan failure (n = 49, 32%) and acute respiratory distress syndrome (ARDS) (n = 39, 26%). Univariate analysis showed that ICU mortality was associated with an Acute Physiology and Chronic Health Evaluation (APACHE) II score >20, a sequential organ failure assessment (SOFA score) > 12, a high lactate level, anemia, thrombocytopenia, leukopenia, hyperbilirubinemia, a high international normalized ratio (INR) and acute graft-versus-host disease (GVHD). Multivariate analysis identified thrombocytopenia, high INR, and acute GVHD as independent predictors of mortality. In AYA allo-HSCT patients admitted to the ICU, mortality remains high. Higher SOFA and APACHE scores, the need for organ support, thrombocytopenia, coagulopathy, and acute GVHD predict poor outcomes.

The microcirculation in the first days of ICU admission in critically ill COVID-19 patients is influenced by severity of disease

The objective of this study was to investigate the relationship between sublingual microcirculatory parameters and the severity of the disease in critically ill coronavirus disease 2019 (COVID-19) patients in the initial period of Intensive Care Unit (ICU) admission in a phase of the COVID-19 pandemic where patients were being treated with anti-inflammatory medication. In total, 35 critically ill COVID-19 patients were included. Twenty-one critically ill COVID-19 patients with a Sequential Organ Failure Assessment (SOFA) score below or equal to 7 were compared to 14 critically ill COVID-19 patients with a SOFA score exceeding 7. All patients received dexamethasone and tocilizumab at ICU admission. Microcirculatory measurements were performed within the first five days of ICU admission, preferably as soon as possible after admission. An increase in diffusive capacity of the microcirculation (total vessel density, functional capillary density, capillary hematocrit) and increased perfusion of the tissues by red blood cells was found in the critically ill COVID-19 patients with a SOFA score of 7–9 compared to the critically ill COVID-19 patients with a SOFA score ≤ 7. No such effects were found in the convective component of the microcirculation. These effects occurred in the presence of administration of anti-inflammatory medication.

Exploring the influence of a financial incentive scheme on early mobilization and rehabilitation in ICU patients: an interrupted time-series analysis

BackgroundClinical guidelines recommend early mobilization and rehabilitation (EMR) for patients who are critically ill. However, various barriers impede its implementation in real-world clinical settings. In 2018, the Japanese universal healthcare coverage system announced a unique financial incentive scheme to facilitate EMR for patients in intensive care units (ICU). This study evaluated whether such an incentive improved patients’ activities of daily living (ADL) and reduced their hospital length of stay (LOS).MethodsUsing the national inpatient database in Japan, we identified patients admitted to the ICU, who stayed over 48 hours between April 2017 and March 2019. The financial incentive required medical institutions to form a multidisciplinary team approach for EMR, development and periodic review of the standardized rehabilitation protocol, starting rehabilitation within 2 days of ICU admission. The incentive amounted to 34.6 United States Dollars per patient per day with limit 14 days, structured as a per diem payment. Hospitals were not mandated to provide detailed information on individual rehabilitation for government, and the insurer made payments directly to the hospitals based on their claims. Exposure was the introduction of the financial incentive defined as the first day of claim by each hospital. We conducted an interrupted time-series analysis to assess the impact of the financial incentive scheme. Multivariable radon-effects regression and Tobit regression analysis were performed with random intercept for the hospital of admission.ResultsA total of 33,568 patients were deemed eligible. We confirmed that the basic assumption of ITS was fulfilled. The financial incentive was associated with an improvement in the Barthel index at discharge (0.44 points change in trend per month; 95% confidence interval = 0.20–0.68) and shorter hospital LOS (− 0.66 days change in trend per month; 95% confidence interval = − 0.88 – -0.44). The sensitivity and subgroup analyses showed consistent results.ConclusionsThe study suggests a potential association between the financial incentive for EMR in ICU patients and improved outcomes. This incentive scheme may provide a unique solution to EMR barrier in practice, however, caution is warranted in interpreting these findings due to recent changes in ICU care practices.

Predicting time-to-intubation after critical care admission using machine learning and cured fraction information

Intubation for mechanical ventilation (MV) is one of the most common high-risk procedures performed in Intensive Care Units (ICUs). Early prediction of intubation may have a positive impact by providing timely alerts to clinicians and consequently avoiding high-risk late intubations. In this work, we propose a new machine learning method to predict the time to intubation during the first five days of ICU admission, based on the concept of cure survival models. Our approach combines classification and survival analysis, to effectively accommodate the fraction of patients not at risk of intubation, and provide a better estimate of time to intubation, for patients at risk. We tested our approach and compared it to other predictive models on a dataset collected from a secondary care hospital (AZ Groeninge, Kortrijk, Belgium) from 2015 to 2021, consisting of 3425 ICU stays. Furthermore, we utilised SHAP for feature importance analysis, extracting key insights into the relative significance of variables such as vital signs, blood gases, and patient characteristics in predicting intubation in ICU settings. The results corroborate that our approach improves the prediction of time to intubation in critically ill patients, by using routinely collected data within the first hours of admission in the ICU. Early warning of the need for intubation may be used to help clinicians predict the risk of intubation and rank patients according to their expected time to intubation.

Machine-learning models are superior to severity scoring systems for the prediction of the mortality of critically ill patients in a tertiary medical center.

Intensive care unit (ICU) mortality prediction helps to guide therapeutic decision making for critically ill patients. Several scoring systems based on statistical techniques have been developed for this purpose. In this study, we developed a machine-learning model to predict patient mortality in the very early stage of ICU admission. This study was performed with data from all patients admitted to the intensive care units of a tertiary medical center in Taiwan from 2009 to 2018. The patients' comorbidities, co-medications, vital signs, and laboratory data on the day of ICU admission were obtained from electronic medical records. We constructed random forest and extreme gradient boosting (XGBoost) models to predict ICU mortality, and compared their performance with that of traditional scoring systems. Data from 12,377 patients was allocated to training (n = 9901) and testing (n = 2476) datasets. The median patient age was 70.0 years; 9210 (74.41%) patients were under mechanical ventilation in the ICU. The areas under receiver operating characteristic curves for the random forest and XGBoost models (0.876 and 0.880, respectively) were larger than those for the Acute Physiology and Chronic Health Evaluation II score (0.738), Sequential Organ Failure Assessment score (0.747), and Simplified Acute Physiology Score II (0.743). The fraction of inspired oxygen on ICU admission was the most important predictive feature across all models. The XGBoost model most accurately predicted ICU mortality and was superior to traditional scoring systems. Our results highlight the utility of machine learning for ICU mortality prediction in the Asian population.

Construction and verification of a nomogram of factors influencing the risk of death in patient with sepsis-associated thrombocytopenia

To construct a nomogram prediction model for predicting the risk of death in patients with sepsis-associated thrombocytopenia (SAT) in intensive care unit (ICU) for early indentification and active intervention. Clinical data of SAT patients admitted to ICU of the First Affiliated Hospital of Nanjing Medical University from December 2019 to August 2021 were retrospectively collected, including demographic data, laboratory indicators, etc. According to the prognosis at 28 days, the patients were divided into the death group and the survival group, and the differences of clinical variables between the two groups were compared. Multivariate Logistic regression analysis was performed to analyze the independent risk factors influencing mortality of patients within 28 days, then a nomogram predictive model was constructed and its performance was verified with internal data. Receiver operator characteristic curve (ROC curve) was used to evaluate the diagnostic effectiveness of the nomogram model, and the clinical applicability of this model was evaluated by clinical decision curve analysis (DCA). A total of 275 patients were included, with 95 deaths at 28 days and a 28-day mortality of 34.5%. Compared with the survival group, acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), lactic acid (Lac), platelet distribution width (PDW) on day 5 of ICU admission, blood urea nitrogen (BUN), total bilirubin (TBIL), aspartate aminotransferase (AST), C-reactive protein (CRP) of patients in the death group were higher, activated partial thromboplastin time (APTT) and prothrombin time (PT) were longer, platelet count (PLT) on day 3 and day 5 of ICU admission, direct bilirubin (DBIL), fibrinogen (FIB) were lower, the history of chronic lung disease, mixed site infection, lung infection, bloodstream infection, Gram-negative bacterial infection and fungal infection accounted for a higher proportion, the history of diabetes mellitus, urinary tract infection and no pathogenic microorganisms cultured accounted for a lower proportion, and the proportion of the use of vasoactive drugs, mechanical ventilation (MV), continuous renal replacement therapy (CRRT), bleeding events and platelet transfusion were higher. Multivariate Logistic regression analysis showed that APACHE II score at the day of ICU admission [odds ratio (OR) = 1.417, 95% confidence interval (95%CI) was 1.153-1.743, P = 0.001], chronic lung disease (OR = 72.271, 95%CI was 4.475-1 167.126, P = 0.003), PLT on day 5 of ICU admission (OR = 0.954, 95%CI was 0.922-0.987, P = 0.007), vasoactive drug (OR = 622.943, 95%CI was 10.060-38 575.340, P = 0.002), MV (OR = 91.818, 95%CI was 3.973-2 121.966, P = 0.005) were independent risk factors of mortality in SAT patients. The above independent risk factors were used to build a nomogram prediction model, and the area under the curve (AUC), sensitivity and specificity were 0.979, 94.7% and 91.7%, respectively, suggesting that the model had good discrimination. The Hosmer-Lemeshow goodness of fit test showed a good calibration with P > 0.05. At the same time, DCA showed that the nomogram model had good clinical applicability. Patients with SAT has a higher risk of death. The nomogram model based on APACHE II score at the day of ICU admission, chronic lung disease, PLT on day 5 of ICU admission, the use of vasoactive drug and MV has good clinical significance for the prediction of 28-day mortality, and the discrimination and calibration are good, however, further verification is needed.

Does ICU admission dysphagia independently contribute to delirium risk in ischemic stroke patients? Results from a cohort study

BackgroundDelirium is prevalent in ischemic stroke patients, particularly those in the intensive care unit (ICU), and it poses a significant burden on patients and caregivers, leading to increased mortality rates, prolonged hospital stays, and impaired cognitive function. Dysphagia, a common symptom in critically ill patients with ischemic stroke, further complicates their condition. However, the association between dysphagia and delirium in this context remains unclear. The objective of this study was to investigate the correlation between dysphagia and delirium in ICU patients with ischemic stroke.MethodsA retrospective analysis was conducted on adult patients diagnosed with ischemic stroke at a medical center in Boston. Ischemic stroke cases were identified using the ninth and tenth revisions of the International Classification of Diseases. Dysphagia was defined as a positive bedside swallowing screen performed by medical staff on the day of ICU admission, while delirium was assessed using the ICU Confusion Assessment Method and review of nursing notes. Logistic regression models were used to explore the association between dysphagia and delirium. Causal mediation analysis was employed to identify potential mediating variables.ResultsThe study comprised 1838 participants, with a median age of approximately 70 years, and 50.5% were female. Among the total study population, the prevalence of delirium was 43.4%, with a higher prevalence observed in the dysphagia group (60.7% vs. 40.8%, p < 0.001) compared to the non-dysphagia group. After adjusting for confounding factors including age, sex, race, dementia, depression, sedative medications, history of falls, visual or hearing deficit, sequential organ failure score, and Glasgow coma score, multifactorial logistic regression analysis demonstrated a significant association between dysphagia and an increased likelihood of delirium (odds ratio [OR]: 1.48; 95% confidence interval [CI]: 1.07–2.05; p = 0.018; E-value = 1.73). Causal mediation analysis revealed that serum albumin levels partially mediated the association between dysphagia and delirium in critically ill patients with ischemic stroke (average causal mediated effect [ACME]: 0.02, 95% CI: 0.01 to 0.03; p < 0.001).ConclusionICU admission dysphagia may independently contribute to the risk of delirium in patients with ischemic stroke. Early identification and intervention in ischemic stroke patients with dysphagia may help mitigate the risk of delirium and improve patient prognosis.

Impact of the health policy for interdisciplinary collaborative rehabilitation practices in intensive care units: A difference-in-differences analysis in Japan

BackgroundEarly rehabilitation in intensive care units (ICUs) may be beneficial but is not routinely performed for adults with critical illness. In April 2018, the Japanese government introduced a health policy to provide financial incentives to hospitals that met the requirements of interdisciplinary collaboration and had teams specialized in ICU rehabilitation practices. ObjectivesThe present study aimed to investigate whether the health policy is associated with improved clinical practices of ICU rehabilitation. MethodsUsing a nationwide administrative inpatient database and hospital statistics data from Japan, we identified hospitals that admitted adult patients to the ICU within two days of hospital admission from April 2016 to March 2019. Using hospital-level propensity score matching, we created matched cohorts of 101,203 patients from 108 intervention hospitals that introduced the health policy, and 106,703 patients from 108 control hospitals that did not. We then conducted patient-level difference-in-differences analyses to examine changes in the percentage of patients from the intervention and control hospitals, who underwent early ICU rehabilitation within two days of ICU admission before and after the implementation of the health policy. ResultsIn the intervention group, patients undergoing early ICU rehabilitation increased from 10% and 36% after the policy implementation. In the control group, it increased from 11% to 13%. The difference-in-difference in the percentage of patients who underwent early ICU rehabilitation between the two groups was 24% (95% confidence interval, 19%–29%). ConclusionsEarly ICU rehabilitation can be facilitated by financial incentives for hospitals that engage in interdisciplinary collaboration with specialist teams. Implications for Clinical PracticeOur Findings are relevant for hospital administrators, professional organizations, and policymakers in other nations considering strategies to support the additional deployment burdens of early ICU rehabilitation. Future studies need to explore the long-term effects and sustainability of the observed improvements in ICU rehabilitation practices.

Risk Factors and Prognosis of Acute Kidney Injury in Hospitalised Sepsis Patients.

This study aimed to analyse the risk factors and prognosis of sepsis complicated with acute kidney injury (AKI). The clinical data of 324 patients with sepsis in the nephrology department of our hospital from January 2022 to January 2023 were collected. A total of 188 patients with AKI were the occurrence group, and 136 patients without AKI were the non-occurrence group. The influencing factors and prognosis of sepsis complicated with AKI were analysed. We observed significant differences in Acute Physiology and Chronic Health Evaluation II (APACHE II), total length of hospital stay, Intensive Care Unit (ICU) stay, mechanical ventilation support, diabetes mellitus and urine volume >1500 mL between the two groups (p < 0.05). After a follow-up period of 1 month, 125 (66.49%) of 188 patients with sepsis complicated with AKI died, and 63 (33.51%) survived. The results of logistic regression analysis showed that Sequential Organ Failure Assessment (SOFA), APACHE II, mechanical ventilation support, diabetes, urine volume >1500 mL and serum creatinine were independent risk factors of sepsis complicated with AKI (p < 0.05). Moreover, SOFA, APACHE II, ICU admission days, mechanical ventilation support, serum creatinine and non-continuous renal replacement therapy were independent risk factors of death in patients with sepsis complicated with AKI (p < 0.05). SOFA, APACHE II, ICU admission days, mechanical ventilation support, serum creatinine and non-continuous renal replacement therapy may be the influencing factors leading to death in patients with sepsis complicated with AKI. Early clinical intervention should be performed.

Prognostic value of high-sensitivity cardiac troponin in non-cardiac surgical patients in intensive care units

Type II myocardial injury following surgical procedures is associated with adverse outcomes. The prognostic value of high-sensitivity cardiac troponin (hs-cTn) due to type II myocardial injury in surgical patients admitted to intensive care unit (ICU) remains unclear. The aim of this study was to assess prognostic value of hs-cTn in type II acute myocardial injury in non-cardiac surgical patients requiring post-operative ICU admission. Retrospective analysis of patients admitted to two level III ICUs following surgery and had hs-cTn measured on the day of ICU admission. Patients who had type I acute myocardial infarction (AMI) during their admission were excluded from the study. The primary outcome was hospital mortality. Secondary outcomes included ICU mortality, ICU length of stay (LOS) and hospital LOS. A total of 420 patients were included. On univariable analysis, higher hs-cTn was associated with increased hospital mortality (14.6% vs 6.3%, p = 0.008), ICU LOS (41.1 h, vs 25 h, p = 0.004) and hospital LOS (253 h vs 193 h, p = 0.02). On multivariable analysis, hs-cTn was not independently associated with increased risk of hospital mortality. However, in patients who had elective surgery, hs-cTn was associated with increased risk (OR 1.048; 95% CI 1.004–1.094; p = 0.031) of hospital mortality with area under the receiver operating characteristic curve of 0.753 (95% CI 0.598–0.908). In elective surgical patients, hs-cTn was associated with increased risk of mortality. Larger multicentre studies are required to confirm this association that may assist in risk stratification of elective surgical patients requiring ICU admission.

Assessment of Nursing Workload and Adverse Events Reporting among Critical Care Nurses in the United Arab Emirates

Background: Nursing is a demanding job, and excessive workloads have been demonstrated to negatively impact patient care. This study aimed to determine the associations between nursing workload on the days of intensive care unit (ICU) admission and discharge and adverse events among patients (i.e. ICU readmission and medication errors). Methods: This study used a retrospective cohort design. We reviewed medical records for 270 patients admitted to the ICU from three hospitals in the United Arab Emirates between February and April 2023. Collected data included patients’ demographics, diagnosis, acuity score on ICU admission/discharge days, Nursing Activities Score (NAS) on ICU admission/discharge days and adverse events reported (i.e. occurrence of medication errors and re-admission to ICU after discharge). Results: The nursing workload on ICU admission and discharge days was high (NAS=72.61 and NAS=52.61, respectively). There were significant associations between ICU readmission and nursing workload at ICU admission and discharge. Moreover, there was a significant relationship between the occurrence of medication errors and nursing workload on the day of ICU admission, with more medication errors occurring in patients with higher NAS scores. Conclusion: The complexity of nursing activities and the severity of patients’ conditions directly impact the nursing workload and patient outcomes. A practical strategy to reduce the nursing workload may be calculating the NAS to clarify the actual time spent by nurses to provide the required care based on the patient’s condition. Adoption of new technologies to enhance medication safety and minimise errors may be another strategy to reduce the impact of the high nursing workload in ICU settings.

Associations between In-Hospital Mortality and Prescribed Parenteral Energy and Amino Acid Doses in Critically Ill Patients: A Retrospective Cohort Study Using a Medical Claims Database.

Some critically ill patients completely rely on parenteral nutrition (PN), which often cannot provide sufficient energy/amino acids. We investigated the relationship between PN doses of energy/amino acids and clinical outcomes in a retrospective cohort study using a medical claims database (≥10.5 years, from Japan, and involving 20,773 adult intensive care unit (ICU) patients on mechanical ventilation and exclusively receiving PN). Study patients: >70 years old, 63.0%; male, 63.3%; and BMI < 22.5, 56.3%. Initiation of PN: third day of ICU admission. PN duration: 12 days. In-hospital mortality: 42.5%. Patients were divided into nine subgroups based on combinations of the mean daily doses received during ICU days 4-7: (1) energy (very low <10 kcal/kg/day; low ≥10, <20; and moderate ≥20); (2) amino acids (very low <0.3 g/kg/day; low ≥0.3, <0.6; and moderate ≥0.6). For each subgroup, adjusted odds ratios (AORs) of in-hospital mortality with 95% confidence intervals (CIs) were calculated by regression analysis. The highest odds of mortality among the nine subgroups was in the moderate calorie/very low amino acid (AOR = 2.25, 95% CI 1.76-2.87) and moderate calorie/low amino acid (AOR = 1.68, 95% CI 1.36-2.08) subgroups, meaning a significant increase in the odds of mortality by between 68% and 125% when an amino acid dose of <0.6 g/kg/day was prescribed during ICU days 4-7, even when ≥20 kcal/kg/day of calories was prescribed. In conclusion, PN-dependent critically ill patients may have better outcomes including in-hospital mortality when ≥0.6 g/kg/day of amino acids is prescribed.

Interleukin-36 is overexpressed in human sepsis and IL-36 receptor deletion aggravates lung injury and mortality through epithelial cells and fibroblasts in experimental murine sepsis

BackgroundSepsis is defined as a life-threatening syndrome caused by an unbalanced host response to infection. The role of interleukin (IL)-36 cytokines binding to the IL-36 receptor (IL-36R) in host response during sepsis remains unknown.MethodsSerum IL-36 level was measured in 47 septic patients sampled on the day of intensive care unit (ICU) and emergency department admission, 21 non-septic ICU patient controls, and 21 healthy volunteers. In addition, the effects of IL-36R deletion on host inflammatory response in cecal ligation and puncture (CLP)-induced polymicrobial sepsis was determined.ResultsOn the day of ICU and emergency department admission, the patients with sepsis showed a significant increase in serum IL-36 levels compared with ICU patient controls and healthy volunteers, and the serum IL-36 levels were related to the severity of sepsis. Non-survivors of septic patients displayed significantly lower serum IL-36 levels compared with survivors. A high serum IL-36 level in ICU and emergency department admission was associated with 28-day mortality, and IL-36 was found to be an independent predictor of 28-day mortality in septic patients by logistic regression analysis. Furthermore, IL-36R deletion increased lethality in CLP-induced polymicrobial sepsis. Septic mice with IL-36R deletion had higher bacterial load and demonstrated more severe multiple organ injury (including lung, liver, and kidney) as indicated by clinical chemistry and histopathology. Mechanistically, IL-36R ligands released upon lung damage activated IL-36R+lung fibroblasts thereby inducing expression of the antimicrobial protein lipocalin 2. Moreover, they induced the apoptosis of lung epithelial cells.ConclusionsSeptic patients had elevated serum IL-36 levels, which may correlate with disease severity and mortality. In experimental sepsis, we demonstrated a previously unrecognized role of IL-36R deletion in increasing lethality.

Epidemiology and Clinical Outcomes of Community-Acquired Acute Kidney Injury in the Emergency Department: A Multisite Retrospective Cohort Study

The prevalence of community-acquired acute kidney injury (CA-AKI) in the United States and its clinical consequences are not well described. Our objective was to describe the epidemiology of CA-AKI and the associated clinical outcomes. Retrospective cohort study. 178,927 encounters by 139,632 adults at 5 US emergency departments (EDs) between July 1, 2017, and December 31,2022. CA-AKI identified using KDIGO (Kidney Disease: Improving Global Outcomes) serum creatinine (Scr)-based criteria. For encounters resulting in hospitalization, the in-hospital trajectory of AKI severity, dialysis initiation, intensive care unit (ICU) admission, and death. For all encounters, occurrence over 180 days of hospitalization, ICU admission, new or progressive chronic kidney disease, dialysis initiation, and death. Multivariable logistic regression analysis to test the association between CA-AKI and measured outcomes. For all encounters, 10.4% of patients met the criteria for any stage of AKI on arrival to the ED. 16.6% of patients admitted to the hospital from the ED had CA-AKI on arrival to the ED. The likelihood of AKI recovery was inversely related to CA-AKI stage on arrival to the ED. Among encounters for hospitalized patients, CA-AKI was associated with in-hospital dialysis initiation (OR, 6.2; 95% CI, 5.1-7.5), ICU admission (OR, 1.9; 95% CI, 1.7-2.0), and death (OR, 2.2; 95% CI, 2.0-2.5) compared with patients without CA-AKI. Among all encounters, CA-AKI was associated with new or progressive chronic kidney disease (OR, 6.0; 95% CI, 5.6-6.4), dialysis initiation (OR, 5.1; 95% CI, 4.5-5.7), subsequent hospitalization (OR, 1.1; 95% CI, 1.1-1.2) including ICU admission (OR, 1.2; 95% CI, 1.1-1.4), and death (OR, 1.6; 95% CI, 1.5-1.7) during the subsequent 180 days. Residual confounding. Study implemented at a single university-based health system. Potential selection bias related to exclusion of patients without an available baseline Scr measurement. Potential ascertainment bias related to limited repeat Scr data during follow-up after an ED visit. CA-AKI is a common and important entity that is associated with serious adverse clinical consequences during the 6-month period after diagnosis. Acute kidney injury (AKI) is a condition characterized by a rapid decline in kidney function. There are many causes of AKI, but few studies have examined how often AKI is already present when patients first arrive to an emergency department seeking medical attention for any reason. We analyzed approximately 175,000 visits to Johns Hopkins emergency departments and found that AKI is common on presentation to the emergency department and that patients with AKI have increased risks of hospitalization, intensive care unit admission, development of chronic kidney disease, requirement of dialysis, and death in the first 6 months after diagnosis. AKI is an important condition for health care professionals to recognize and is associated with serious adverse outcomes.