Association between stress hyperglycemia ratio and all-cause mortality in critically ill patients with atrial fibrillation: insights from a MIMIC-IV study.

Background: The stress hyperglycemia ratio (SHR) has emerged as a potential prognostic indicator for various critical illnesses. However, its role in determining outcomes in patients with atrial fibrillation (AF) within the intensive care unit (ICU) remains unclear. This study aimed to elucidate the association between SHR and all-cause mortality in this clinical setting. Methods: We conducted a retrospective cohort study utilizing data from a large, retrospective database. Critically ill patients with documented AF were stratified based on quartiles of SHR. The primary outcome was 365-day all-cause mortality, with secondary outcomes including 90-day and 28-day mortality. COX proportional hazards models adjusted for confounders and Kaplan-Meier curve analyses were used to explore the relationship between SHR and mortality. Results: 2,679 patients with critical AF were enrolled in the final study. Among the patients studied, those in the highest SHR quartiles exhibited an increased risk of 365-day all-cause mortality (HR:1.32, 95%CI=1.06-1.65). Notably, in subgroup analyses, the prognostic value of SHR was particularly pronounced in patients with hypertension. Sensitivity analyses confirmed the persistence of these findings after excluding cohorts with malignant tumors, and heart failure. Conclusions: Our research discerns a positive association between SHR and all-cause mortality in critically ill patients with AF, highlighting the significance of acute glycemic dysregulation on patient outcomes. Longer follow-up is still needed in the future to study the association between SHR and all-cause mortality in critically ill patients with AF.

[Exploring the optimal range of pulse oxygen saturation in patients with sepsis: a retrospective study based on MIMIC- IV data].

OBJECTIVE: To explore the optimal pulse oxygen saturation (SpO2) range during hospitalization for patients with sepsis. METHODS: A case-control study design was employed. Demographic information, vital signs, comorbidities, laboratory parameters, critical illness scores, clinical treatment information, and clinical outcomes of sepsis patients were extracted from the Medical Information Mart for Intensive Care- IV (MIMIC- IV). A generalized additive model (GAM) combined with a Loess smoothing function was employed to analyze and visualize the nonlinear relationship between SpO2 levels during hospitalization and in-hospital all-cause mortality. The optimal range of SpO2 was determined, and Logistic regression model along with Kaplan-Meier curve were utilized to validate the association between the determined range of SpO2 and in-hospital all-cause mortality. RESULTS: A total of 5 937 patients met the inclusion criteria, among whom 1 191 (20.1%) died during hospitalization. GAM analysis revealed a nonlinear and U-shaped relationship between SpO2 levels and in-hospital all-cause mortality among sepsis patients during hospitalization. Multivariable Logistic regression analysis further confirmed that patients with SpO2 levels between 0.96 and 0.98 during hospitalization had a decreased mortality compared to those with SpO2 < 0.96 [hypoxia group; odds ratio (OR) = 2.659, 95% confidence interval (95%CI) was 2.190-3.229, P < 0.001] and SpO2 > 0.98 (hyperoxia group; OR = 1.594, 95%CI was 1.337-1.900, P < 0.001). Kaplan-Meier survival curve showed that patients with SpO2 between 0.96 and 0.98 during hospitalization had a higher probability of survival than those patient with SpO2 < 0.96 and SpO2 > 0.98 (Log-Rank test: χ 2 = 113.400, P < 0.001). Sensitivity analyses demonstrated that, with the exception of subgroups with smaller sample sizes, across the strata of age, gender, body mass index (BMI), admission type, race, heart rate, systolic blood pressure, diastolic blood pressure, mean arterial pressure, respiratory rate, body temperature, myocardial infarction, congestive heart failure, cerebrovascular disease, chronic liver disease, diabetes mellitus, sequential organ failure assessment (SOFA), simplified acute physiology score II (SAPS II), systemic inflammatory response syndrome score (SIRS), and Glasgow coma score (GCS), the mortality of patients with SpO2 between 0.96 and 0.98 was significantly lower than those of patients with SpO2 < 0.96 and SpO2 > 0.98. CONCLUSIONS: During hospitalization, the level of SpO2 among sepsis patients exhibits a U-shaped relationship with in-hospital all-cause mortality, indicating that heightened and diminished oxygen levels are both associated with increased mortality risk. The optimal SpO2 range is determined to be between 0.96 and 0.98.

[Effect of Wenyang Baidu Yin on early microcirculation disturbance in patients with sepsis (syndrome of Yang deficiency and turbid toxin): a randomized controlled trial].

OBJECTIVE: To observe the effect of Wenyang Baidu Yin on early microcirculation indicators in patients with sepsis (syndrome of Yang deficiency and turbid toxin), analyze the specific therapeutic effect, and provide a new perspective for clinical treatment of microcirculation disorders in sepsis. METHODS: Sixty-four patients with sepsis admitted to the intensive care unit (ICU) of Shanxi Province Hospital of Integrated Traditional Chinese and Western Medicine from January 2022 to July 2023 were enrolled. Patients were divided into control group and observation group by randomly number table method, with 32 cases in each group. The control group received conventional Western medicine treatment. On the basis of conventional Western medicine treatment, the observation group was given Wenyang Baidu Yin 200 mL/d (100 mL each time, with an interval of 12 hours) orally or by nasal feeding for 3 consecutive days. The central venous oxygen saturation (ScvO2), difference of central venous-to-arterial partial pressure of carbon dioxide (Pcv-aCO2), arterial lactic acid (Lac), pulse perfusion index (PI), capillary refill time (CRT), and skin mottling score (SMS) of two groups were detected before treatment and at 6, 12, 24, and 48 hours of treatment; simultaneously record the traditional Chinese medicine (TCM) syndrome score before treatment and at 72 hours of treatment, as well as the sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation (APACHE) before treatment and at 24 hours and 72 hours of treatment. RESULTS: There were no statistically significant differences in gender, age, and various microcirculation indicators before treatment between the two groups, indicating consistent baseline characteristics. Compared with before treatment, the microcirculation indicators ScvO2, Pcv-aCO2, Lac, PI, CRT, and SMS in both groups showed significant improvement after treatment. Moreover, the observation group showed more significant improvements in Lac and PI compared to the control group at 24 hours and 48 hours of treatment [Lac (mmol/L): 2.45±0.92 vs. 3.07±1.07 at 24 hours, 2.06±0.87 vs. 2.59±1.01 at 48 hours; PI: 3.45±0.89 vs. 2.92±0.98 at 24 hours, 3.56±0.99 vs. 3.01±0.87 at 48 hours, all P < 0.05]. CRT and SMS showed more significant improvements compared to the control group at 48 hours of treatment [CRT (s): 2.04±1.08 vs. 2.62±0.99, SMS: 0.5 (0.0, 1.0) vs. 1.0 (1.0, 1.0), both P < 0.05], while there were no statistically significant differences in ScvO2 and Pcv-aCO2 at each time point between the two groups. After treatment, the APACHE score, SOFA score, and TCM syndrome score improved in both groups compared to before treatment, and the improvement degree of each score in the observation group was significantly higher than that in the control group [72 hours APACHE II score: 15.0 (12.2, 16.0) vs. 17.0 (13.5, 20.0), 72 hours SOFA score: 6.0 (6.0, 8.0) vs. 10.0 (8.0, 13.0), 72 hours TCM syndrome score: 10.13±3.73 vs. 14.63±5.55, all P < 0.05]. CONCLUSIONS: On the basis of conventional Western medicine treatment, the combination of Wenyang Baidu Yin can significantly improve microcirculation disorders in patients with sepsis (syndrome of Yang deficiency and turbid toxin) to a certain extent, thereby improving patient prognosis.

[Construction and validation of a risk nomogram for sepsis-associated acute kidney injury in intensive care unit].

OBJECTIVE: To construct and validate a nomogram model for predicting sepsis-associated acute kidney injury (SA-AKI) risk in intensive care unit (ICU) patients. METHODS: A retrospective cohort study was conducted. Adult sepsis patients admitted to the department of ICU of the 940th Hospital of Joint Logistic Support Force of PLA from January 2017 to December 2022 were enrolled. Demographic characteristics, clinical data within 24 hours after admission to ICU diagnosis, and clinical outcomes were collected. Patients were divided into training set and validation set according to a 7 : 3 ratio. According to the consensus report of the 28th Acute Disease Quality Initiative Working Group (ADQI 28), the data were analyzed with serum creatinine as the parameter and AKI occurrence 7 days after sepsis diagnosis as the outcome. Lasso regression analysis and univariate and multivariate Logistic regression analysis were performed to construct the nomogram prediction model for SA-AKI. The discrimination and accuracy of the model were evaluated by the Hosmer-Lemeshow test, receiver operator characteristic curve (ROC curve), decision curve analysis (DCA), and clinical impact curve (CIC). RESULTS: A total of 247 sepsis patients were enrolled, 184 patients developed SA-AKI (74.49%). The number of AKI patients in the training and validation sets were 130 (75.58%) and 54 (72.00%), respectively. After Lasso regression analysis and univariate and multivariate Logistic regression analysis, four independent predictive factors related to the occurrence of SA-AKI were selected, namely procalcitonin (PCT), prothrombin activity (PTA), platelet distribution width (PDW), and uric acid (UA) were significantly associated with the onset of SA-AKI, the odds ratio (OR) and 95% confidence interval (95%CI) was 1.03 (1.01-1.05), 0.97 (0.55-0.99), 2.68 (1.21-5.96), 1.01 (1.00-1.01), all P < 0.05, respectively. A nomogram model was constructed using the above four variables. ROC curve analysis showed that the area under the curve (AUC) was 0.869 (95%CI was 0.870-0.930) in the training set and 0.710 (95%CI was 0.588-0.832) in the validation set. The P-values of the Hosmer-Lemeshow test were 0.384 and 0.294, respectively. In the training set, with an optimal cut-off value of 0.760, a sensitivity of 77.5% and specificity of 88.1% were achieved. Both DCA and CIC plots demonstrated the model's good clinical utility. CONCLUSIONS: A nomogram model based on clinical indicators of sepsis patients admitted to the ICU within 24 hours could be used to predict the risk of SA-AKI, which would be beneficial for early identification and treatment on SA-AKI.

[Effect of different intervention measures on duration of mechanical ventilation and the length of ICU stay in critically ill patients: a network Meta-analysis].

OBJECTIVE: To evaluate the effects of different intervention measures on duration of mechanical ventilation and the length of intensive care unit (ICU) stay in critically ill patients using network Meta-analysis. METHODS: Randomized controlled trial (RCT) on the effects of different intervention measures on duration of mechanical ventilation and the length of ICU stay in critically ill patients were systematically searched in PubMed, Embase, China Biomedical Literature Database, CNKI, and other databases. The search time limit was from the establishment of the database to November 2023. Literature screening, quality assessment, and data extraction were independently conducted by two researchers. Network Meta-analysis was employed to assess the effects of each intervention on duration of mechanical ventilation and the length of ICU stay, and funnel plots were generated. RESULTS: A total of 37 RCTs were included, involving 3 977 severe patients, 2 041 in the intervention group and 1 936 in the control group. Thirteen types of interventions were analyzed, including usual care (UC), early activity (EA), early comprehensive rehabilitation (ECR), early pulmonary rehabilitation (EPR), cluster intervention strategy (CS), sedation, analgesia and cluster nursing (SACN), music therapy (MT), neuromuscular electrical stimulation (NMES), modified education and visitation (MV), virtual reality (VR), auricular point sticking (APS), acupoint acupuncture (AA), and concerted intervention (COR). Network Meta-analysis showed that MV significantly better than COR [standardized mean difference (SMD) = -2.35, 95% confidence interval (95%CI) was -4.30 to -0.39], EPR (SMD = -2.59, 95%CI was -4.81 to -0.37), and UC (SMD = -4.10, 95%CI was -5.71 to -2.49) in improving duration of mechanical ventilation in critically ill patients. COR was significantly better than UC in shortened length of ICU stay (SMD = -5.72, 95%CI was -10.07 to -1.37). The efficacy ranking results showed that for duration of mechanical ventilation, the surface under the cumulative ranking curve (SUCRA) was highest for MV (85.4%) and EA (85.4%), followed by AA (74.9%), NMES (63.1%), ECR (51.7%), CS (48.8%), SACN (34.3%), COR (29.4%), EPR (26.1%), and UC (0.7%). For the length of ICU stay, COR had the highest SUCRA (82.3%), followed by APS (79.7%), MV (77.7%), EPR (68.0%), NMES (57.6%), CS (54.4%), ECR (51.1%), SACN (41.9%), MT (39.8%), EA (39.3%), AA (33.0%), VR (15.4%), and UC (9.8%). The funnel plot results of ICU stay showed that the publication bias between studies were relatively small. CONCLUSIONS: MV and COR appear to be effective interventions for reducing mechanical ventilation time and ICU stay in critically ill patients. However, due to the number and quality of included studies, these findings require confirmation through additional high-quality research.

[Design and application of a specialized protective skirt for patients undergoing extracorporeal membrane oxygenation].

Extracorporeal membrane oxygenation (ECMO) provides continuous extracorporeal respiratory and circulatory support for patients with severe heart and lung failure, in order to maintain their lives. Currently, ECMO is an advanced organ support technology and its application in the clinical field of critical care is becoming increasingly common. When ECMO is implemented via percutaneous cannulation at the bilateral femoral artery and vein, the traditional patient pants cannot be used, which leads to exposure of privacy, easy catching of cold, and easy contamination of bed sheets and covers during defecation, making the patient uncomfortable and increasing the risk of infection. Changing bed sheets and covers not only increases the workload of nurses, but also easily causes pipeline displacement or slipping. It is inconvenient to observe the patient's bleeding, displacement, or dislodgement of the pipeline at any time when wearing patient pants. To solve the problems, nursing staff in the emergency intensive care unit of Henan Provincial People's Hospital have designed a protective skirt specifically designed for patients undergoing ECMO, which has obtained a National Utility Model Patent of China (patent number: ZL 2020 2 08120022.9). The special protective skirt for patients with ECMO mainly consists of a skirt body, a transparent observation window, a hip support part, and a fecal collection part. The transparent observation window is convenient for the puncture site and pipeline observation. After the hip support part is inflated, the patient can separate the perianal skin and urine and feces to avoid the occurrence of incontinence dermatitis. The fecal collection part can collect urine and feces to keep the bed unit clean. The protective skirt has a simple structure and is easy to wear and take off. While protecting patient privacy and ensuring patient comfort, it can also observe the condition of the pipeline at any time. It is suitable for patients with lower limb catheterization or urinary and fecal incontinence, and has certain clinical application and promotion value.

[Feasibility and safety study of building a friendly management model for elderly critically ill patients based on geriatric intensive care unit: a prospective controlled study].

OBJECTIVE: To explore the feasibility and safety of integrating the geriatric intensive care unit (GICU) into the friendly management model of the elderly critically ill patients. METHODS: A prospective controlled study was conducted. Patients with elderly critically ill admitted to the GICU and the general intensive care unit (ICU) of Jintan First People's Hospital of Changzhou from December 2021 to May 2023 were enrolled. Patients in the ICU group received the traditional intensive care and nursing mode. In addition to the ICU group basic medical care measures, the patients in the GICU group were treated with friendly management models such as flexible visitation, diagnosis and treatment environment optimization, caring diagnosis and treatment, and family participation in hospice care according to their condition assessment. The gender, age, main diagnosis, and acute physiology and chronic health evaluation II (APACHE II) at admission were recorded and compared between the two groups. During the treatment period, the incidence of nosocomial infection, unplanned extubation, falling out of bed/fall, unexpected readmission to ICU/GICU, and ICU/GICU mortality, the incidence of post-intensive care syndrome (PICS), the satisfaction rate of patients/families with medical care, and the satisfaction rate of patients/families with diagnosis and treatment environment were recorded and compared between the two groups. RESULTS: According to the admission criteria for ICU and GICU, as well as the willingness of the patients and/or their families, a total of 59 patients were finally included in the ICU group, and 48 patients were enrolled in the GICU group. There were no significantly differences in gender, age, main diagnosis and APACHE II score between the two groups, and there were comparability. There were no significantly differences in the incidence of adverse events such as nosocomial infection [13.6% (8/59) vs. 12.5% (6/48)], unplanned extubation [5.1% (3/59) vs. 6.2% (3/48)], falling out of bed/fall [3.4% (2/59) vs. 0% (0/48)], unexpected readmission to ICU/GICU [8.5% (5/59) vs. 10.4% (5/48)], and ICU/GICU mortality [6.8% (4/59) vs. 6.2 (3/48)] between the ICU group and GICU group (all P > 0.05). Compared with the ICU group, the incidence of PICS in GICU group was significantly lower [8.3% (4/48) vs. 25.4% (15/59), P < 0.05], the satisfaction rate of patients/families with medical care [89.6% (43/48) vs. 74.6% (44/59)] and satisfaction rate of patients/families with diagnosis and treatment environment [87.5% (42/48) vs. 67.8% (40/59)] were significantly increased (both P < 0.05). CONCLUSIONS: The use GICU as a friendly management model for elderly critically ill patients is feasible and safe, and it is worthy of further exploration and research.

[The pulmonary artery catheter in the intensive cardiac care unit]. / Il catetere arterioso polmonare in terapia intensiva cardiologica.

More than 50 years after its introduction in clinical practice, the increase in the intensity of care offered by the cardiac intensive care units, the shift in the population of patients treated and the wider availability of circulatory supports, still makes the pulmonary artery catheter (PAC) an essential tool for diagnosis, monitoring and prognosis in patients suffering from cardiogenic shock. In this review, we will discuss how to identify those patients who can benefit most from its use, the configuration and the correct insertion technique of a PAC. A pragmatic guide will also be provided for the interpretation of the hemodynamic indexes (direct and calculated) that the PAC is able to reveal as well as a summary of the most common errors in reading or interpreting the pressure curves provided by the PAC. In this article, we will then present a practical guide on how to use the PAC in a modern cardiac intensive care unit.

Risk assessment and clinical implications of COVID-19 in multiple myeloma patients: A systematic review and meta-analysis.

INTRODUCTION: Patients with multiple myeloma (MM) face heightened infection susceptibility, particularly severe risks from COVID-19. This study, the first systematic review in its domain, seeks to assess the impacts of COVID-19 on MM patients. METHOD: Adhering to PRISMA guidelines and PROSPERO registration (ID: CRD42023407784), this study conducted an exhaustive literature search from January 1, 2020, to April 12, 2024, using specified search terms in major databases (PubMed, EMBASE, and Web of Science). Quality assessment utilized the JBI Critical checklist, while publication bias was assessed using Egger's test and funnel plot. The leave-one-out sensitivity analyses were performed to assess the robustness of the results by excluding one study at a time to identify studies with a high risk of bias or those that significantly influenced the overall effect size. Data synthesis involved fitting a random-effects model and estimating meta-regression coefficients. RESULTS: A total of 14 studies, encompassing a sample size of 3214 yielded pooled estimates indicating a hospitalization rate of 53% (95% CI: 40.81, 65.93) with considerable heterogeneity across studies (I2 = 99%). The ICU admission rate was 17% (95% CI: 11.74, 21.37), also with significant heterogeneity (I2 = 94%). The pooled mortality rate was 22% (95% CI: 15.33, 28.93), showing high heterogeneity (I2 = 97%). The pooled survival rate stood at 78% (95% CI: 71.07, 84.67), again exhibiting substantial heterogeneity (I2 = 97%). Subgroup analysis and meta-regression highlighted that study types, demographic factors, and patient comorbidities significantly contributed to the observed outcome heterogeneity, revealing distinct patterns. Mortality rates increased by 15% for participants with a median age above 67 years. ICU admission rates were positively correlated with obesity, with a 20% increase for groups with at least 19% obesity. Mortality rates rose by 33% for the group of patients with at least 19% obesity, while survival rates decreased by 33% in the same group. CONCLUSION: Our meta-analysis sheds light on diverse COVID-19 outcomes in multiple myeloma. Heterogeneity underscores complexities, and study types, demographics, and co-morbidities significantly influence results, emphasizing the nuanced interplay of factors.

The relationship between Geriatric Nutritional Risk Index (GNRI) and in-hospital mortality in critically ill patients with Acute Kidney Injury (AKI).

BACKGROUND: The role of the geriatric nutritional risk index (GNRI) as a prognostic factor in intensive care unit (ICU) patients with acute kidney injury (AKI) remains uncertain. OBJECTIVES: The aim of this study was to investigate the impact of the GNRI on mortality outcomes in critically ill patients with AKI. METHODS: For this retrospective study, we included 12,058 patients who were diagnosed with AKI based on ICD-9 codes from the eICU Collaborative Research Database. Based on the values of GNRI, nutrition-related risks were categorized into four groups: major risk (GNRI < 82), moderate risk (82 ≤ GNRI < 92), low risk (92 ≤ GNRI < 98), and no risk (GNRI ≥ 98). Multivariate analysis was used to evaluate the relationship between GNRI and outcomes. RESULTS: Patients with higher nutrition-related risk tended to be older, female, had lower blood pressure, lower body mass index, and more comorbidities. Multivariate analysis showed GNRI scores were associated with in-hospital mortality. (Major risk vs. No risk: OR, 95% CI: 1.90, 1.54-2.33, P < 0.001, P for trend < 0.001). Moreover, increased nutrition-related risk was negatively associated with the length of hospital stay (Coefficient: -0.033; P < 0.001) and the length of ICU stay (Coefficient: -0.108; P < 0.001). The association between GNRI scores and the risks of in-hospital mortality was consistent in all subgroups. CONCLUSIONS: GNRI serves as a significant nutrition assessment tool that is pivotal to predicting the prognosis of critically ill patients with AKI.

SARS-CoV-2 viral load is linked to remdesivir efficacy in severe Covid-19 admitted to intensive care.

Remdesivir therapy has been declared as efficient in the early stages of Covid-19. Of the 339 patients (males 55.8%, age 71(59;77) years) with a detectable viral load, 140 were treated with remdesivir (of those 103 in the ICU and 57 immunosuppressed) and retrospectively compared with 199 patients (of those 82 in the ICU and 28 immunosuppressed) who were denied therapy due to advanced Covid-19. The viral load was estimated by detecting nucleocapsid antigen in serum (n = 155, median 217(28;1524)pg/ml), antigen in sputum (n = 18, COI 18(4.6;32)), nasopharyngeal antigen (n = 44, COI 17(8;35)) and the real-time PCR (n = 122, Ct 21(18;27)). After adjustment for confounders, patients on remdesivir had better 12-month survival (HR 0.66 (0.44;0.98), p = 0.039), particularly when admitted to the ICU (HR 0.49 (0.29;0.81), p = 0.006). For the immunocompromised patients, the difference did not reach statistical significance (HR 0.55 (0.18;1.69), p = 0.3). The other most significant confounders were age, ICU admission, mechanical ventilation, leukocyte/lymphocyte ratio, admission creatinine and immunosuppression. The impact of monoclonal antibodies or previous vaccinations was not significant. Despite frequent immune suppression including haemato-oncology diseases, lymphopenia, and higher inflammatory markers in the remdesivir group, the results support remdesivir administration with respect to widely available estimates of viral load in patients with high illness severity.

Machine learning-based risk prediction model construction of difficult weaning in ICU patients with mechanical ventilation.

In intensive care unit (ICU) patients undergoing mechanical ventilation (MV), the occurrence of difficult weaning contributes to increased ventilator-related complications, prolonged hospitalization duration, and a significant rise in healthcare costs. Therefore, early identification of influencing factors and prediction of patients at risk of difficult weaning can facilitate early intervention and preventive measures. This study aimed to strengthen airway management for ICU patients by constructing a risk prediction model with comprehensive and individualized offline programs based on machine learning techniques. This study involved the collection of data from 487 patients undergoing MV in the ICU, with a total of 36 variables recorded. The dataset was divided into a training set (70% of the data) and a test set (30% of the data). Five machine learning models, namely logistic regression, random forest, support vector machine, light gradient boosting machine, and extreme gradient boosting, were compared to predict the risk of difficult weaning in ICU patients with MV. Significant influencing factors were identified based on the results of these models, and a risk prediction model for ICU patients with MV was established. When evaluating the models using AUC (Area under the Curve of ROC) and Accuracy as performance metrics, the Random Forest algorithm exhibited the best performance among the five machine learning algorithms. The area under the operating characteristic curve for the subjects was 0.805, with an accuracy of 0.748, recall (0.888), specificity (0.767) and F1 score (0.825). This study successfully developed a risk prediction model for ICU patients with MV using a machine learning algorithm. The Random Forest algorithm demonstrated the highest prediction performance. These findings can assist clinicians in accurately assessing the risk of difficult weaning in patients and formulating effective individualized treatment plans. Ultimately, this can help reduce the risk of difficult weaning and improve the quality of life for patients.

Fluid bolus increases plasma hyaluronan concentration compared to follow-up strategy without a bolus in oliguric intensive care unit patients.

Fluid therapy is a fundamental part of supportive therapy in critical care. However, it is also a suspected risk for endothelial glycocalyx degradation which is associated with poor clinical outcomes. This secondary analysis of RESPONSE randomized trial compares the effect of follow-up strategy (FU) on endothelial biomarkers to that of 500 ml crystalloid fluid bolus (FB) in oliguric, hemodynamically optimized intensive care unit (ICU) patients. 130 adult subjects were enrolled in two Finnish ICUs from January 2017 to November 2020. Blood and urine samples of 63 patients in FU group and 67 patients in FB group were collected before and after the intervention and analyzed using enzyme-linked immunosorbent assays. Single fluid bolus, given after median of 3887 ml (interquartile range 2842; 5359 ml) resuscitation fluids in the preceding 24 h, increased plasma hyaluronan concentration compared to the follow-up strategy (difference in medians 29.2 ng/ml with 95% CI [14.5ng/ml; 55.5ng/ml], P < 0.001). No treatment effect was detected in the plasma levels of syndecan-1, , angiopoietin-2, angiopoietin receptors Tie2 and Tie1, or in soluble thrombomodulin in the adjusted median regression analysis. The increase in hyaluronan was independent of its simultaneous renal clearance but correlated moderately with the increase in endothelium-specific Tie1. The follow-up strategy did not show consistent endothelium-sparing effect but protected against hyaluronan increase. The mechanisms and consequences of hyaluronan fluctuations need further clarification. Trial registration: clinicaltrials.gov, NCT02860572. Registered 1 August 2016, https://www.clinicaltrials.gov/study/NCT02860572?term=NCT02860572&rank=1.

Clinical and microbiological characteristics and follow-up of invasive Listeria monocytogenes infection among hospitalized patients: real-world experience of 16 years from Hungary.

PURPOSE: Invasive Listeria monocytogenes infection is rare, but can lead to life-threatening complications among high-risk patients. Our aim was to assess characteristics and follow-up of adults hospitalized with invasive L. monocytogenes infection. METHODS: A retrospective observational cohort study was conducted at a national referral center between 2004 and 2019. Patients with proven invasive listeriosis, defined by the European Centre for Disease Prevention and Control criteria, were included. Data collection and follow-up were performed using the hospital electronic system, up until the last documented visit. The primary outcome was in-hospital all-cause mortality, secondary outcomes included residual neurological symptoms, brain abscess occurrence, and requirement for intensive care unit (ICU) admission. RESULTS: Altogether, 63 cases were identified (57.1% male, median age 58.8 ± 21.7 years), and 28/63 developed a complicated disease course (44.4%). At diagnosis, 38/63 (60.3%) presented with sepsis, 54/63 (85.7%) had central nervous system involvement, while 9/63 (14.3%) presented with isolated bacteremia. Frequent clinical symptoms included fever (53/63, 84.1%), altered mental state (49/63, 77.8%), with immunocompromised conditions apparent in 56/63 (88.9%). L. monocytogenes was isolated from blood (37/54, 68.5%) and cerebrospinal fluid (48/55, 87.3%), showing in vitro full susceptibility to ampicillin and meropenem (100% each), gentamicin (86.0%) and trimethoprim/sulfamethoxazole (97.7%). In-hospital all-cause mortality was 17/63 (27.0%), and ICU admission was required in 28/63 (44.4%). At discharge, residual neurological deficits (11/46, 23.9%) and brain abscess formation (6/46, 13.0%) were common. CONCLUSION: Among hospitalized adult patients with comorbidities, invasive L. monocytogenes infections are associated with high mortality and neurological complications during follow-up.

Improving patient care transitions from the intensive care unit to the ward by learning from everyday practice. A multicenter qualitative study.

OBJECTIVE: To explore and describe the everyday practices (Work-As-Done) that hinder and facilitate patient care transitions from the intensive care unit (ICU) to the ward. RESEARCH METHOD/DESIGN: Multiple qualitative case studies in the ICU and various specialized wards of three Dutch hospitals. Adult patients planned to be transferred were purposively sampled on a variety of characteristics along with their relative (if present), and the ICU and ward nurses who were involved in the transition process. Data were collected by using multiple sources (i.e., observations, semi-structured interviews and a qualitative survey) and then systematically analyzed using the thematic analysis approach until saturation was reached. FINDINGS: Twenty-six cases were studied. For each case, the actual transfer was observed. Sixteen patients, five relatives and 36 nurses were interviewed. Two patients completed the survey. Fifteen themes emerged from the data, showing that the quality of transitions is influenced by the extent to which nurses anticipate to patient-specific needs (e.g., providing timely and adequate information, orientation, mental support and aftercare) and to the needs of the counterpart to continue care (e.g., by preparing handovers) besides following standard procedures. Data also show that procedures sometimes interfere with what works best in practice (e.g., communication via a liaison service instead of direct communication between ICU and ward nurses). CONCLUSIONS: Subtle, non-technical nursing skills play an important role in comforting patients and in the coordination of care when patients are transferred from the ICU to the ward. IMPLICATIONS FOR CLINICAL PRACTICE: These Work-As-Done findings and their underlying narratives, that are often overlooked when focusing on quality improvement, can be used as material to reflect on own practice and raise awareness for its impact on patients. They may stimulate healthcare staff in crafting interventions for optimizing the transition process.

Ventilatory pressure parameters impact the association between acute gastrointestinal injury and all-cause mortality in mechanically ventilated patients.

Acute gastrointestinal injury (AGI) is common in mechanically ventilated (MV) patients, but the potential association between ventilatory pressure parameters and AGI grade and their impact on mortality remains unclear. This study aimed to explore the association between ventilatory pressure parameters and AGI grade, and their interaction on all-cause mortality in MV patients. This study was a secondary analysis of a multicenter, prospective, observational study that enrolled adult patients with an expected duration of mechanical ventilation ≥ 48 h from 14 general intensive care units in Zhejiang Province between March and August 2014. The AGI grade was assessed daily on the basis of gastrointestinal symptoms, intra-abdominal pressures, and feeding intolerance in the first week of admission to the ICU. This study included 331 patients (69.2% men; mean age, 64.6 ± 18.9 years). Multivariate regression analysis showed that plateau pressure (Pplat) (OR 1.044, 95% CI 1.009-1.081, P = 0.013), serum creatinine (OR 1.003, 95% CI 1.001-1.006, P = 0.042) and APACHE II score (OR 1.035, 95% CI 1.021-1.072, P = 0.045) were independently associated with global AGI grade III/IV within 7 days of ICU admission. Moreover, global AGI grade (HR 2.228, 95% CI 1.561-3.182, P < 0.001), serum creatinine (HR 1.002, 95% CI 1.001-1.003, P = 0.012) and APACHE II score (HR 1.039, 95% CI 1.015-1.063, P = 0.001) were independently associated with 60-day mortality. In addition, there were significant (Pint ≤ 0.028) interactions of Pplat and DP with AGI grade in relation to 60-days mortality, whereas no interaction (Pint = 0.061) between PEEP and AGI grade on 60-days mortality was observed. In the presence of Pplat ≥ 19 cmH2O, the patients with AGI grade III/IV had 60-day mortality rate of 72.2%, significantly higher than those with AGI grade I/II (48.7%, P = 0.018), whereas there were no significant differences (27.9% vs. 33.7%, P = 0.39) in 60-days mortality between AGI grade I/II and III/IV among the patients with Pplat < 19 cmH2O. In comparison with Pplat, DP had a similar interaction (Pint = 0.028) with AGI grade on 60-day mortality. Ventilatory pressure parameters (Pplat and DP) are independent risk factors of AGI grade III/IV. Pplat and DP interact with AGI grade on 60-days mortality, highlighting the importance of optimizing ventilatory pressure parameters to improve gastrointestinal function and survival outcomes of MV patients.Trial registration: ChiCTR-OCS-13003824.

Quantification of muscle recovery in post-ICU patients admitted for acute pancreatitis: a longitudinal single-center study.

OBJECTIVES: Critically ill patients with severe pancreatitis exhibit substantial muscle wasting, which limits in-hospital and post-hospital outcomes. Survivors of critical illness undergo extensive recovery processes. Previous studies have explored pancreatic function, quality of life, and costs post-hospitalization for AP patients, but none have comprehensively quantified muscle loss and recovery post-discharge. By applying an AI-based automated segmentation tool, we aimed to quantify muscle mass recovery in ICU patients after discharge. MATERIALS: Muscle segmentation was performed on 22 patients, with a minimum of three measurements taken during hospitalization and one clinically indicated examination after hospital discharge. Changes in psoas muscle area (PMA) between admission, discharge and follow up were calculated. T-Test was performed to identify significant differences between patients able and not able to recover their muscle mass. RESULTS: Monitoring PMA shows muscle loss during and gain after hospitalization: The mean PMA at the first scan before or at ICU admission (TP1) was 17.08 cm², at the last scan before discharge (TP2), mean PMA was 9.61 cm². The percentage change in PMA between TP1 and TP2 ranged from - 85.42% to -2.89%, with a mean change of -40.18%. The maximum muscle decay observed during the stay was - 50.61%. After a mean follow-up period of 438.73 days most patients (81%) were able to increase their muscle mass. Compared to muscle status at TP1, only 27% of patients exhibited full recovery, with the majority still presenting a deficit of 31.96%. CONCLUSION: Muscle recovery in ICU patients suffering from severe AP is highly variable, with only about one third of patients recovering to their initial physical status. Opportunistic screening of post-ICU patient recovery using clinically indicated imaging and AI-based segmentation tools enables precise quantification of patients' muscle status and can be employed to identify individuals who fail to recover and would benefit from secondary rehabilitation. Understanding the dynamics of muscle atrophy may improve prognosis and support personalized patient care.