Genomic study substantiates the intensive care unit as a reservoir for carbapenem-resistant Klebsiella pneumoniae in a teaching hospital in China.

Carbapenem-resistant Klebsiella pneumoniae (CRKP) has recently emerged as a notable public health concern, while the underlying drivers of CRKP transmission among patients across different healthcare facilities have not been fully elucidated. To explore the transmission dynamics of CRKP, 45 isolates were collected from both the intensive care unit (ICU) and non-ICU facilities in a teaching hospital in Guangdong, China, from March 2020 to August 2023. The collection of clinical data and antimicrobial resistance phenotypes was conducted, followed by genomic data analysis for these isolates. The mean age of the patients was 75.2 years, with 18 patients (40.0%) admitted to the ICU. The predominant strain in hospital-acquired CRKP was sequence type 11 (ST11), with k-locus type 64 and serotype O1/O2v1 (KL64:O1/O2v1), accounting for 95.6% (43/45) of the cases. The CRKP ST11 isolates from the ICU exhibited a low single nucleotide polymorphism (SNP) distance when compared to isolates from other departments. Genome-wide association studies identified 17 genes strongly associated with SNPs that distinguish CRKP ST11 isolates from those in the ICU and other departments. Temporal transmission analysis revealed that all CRKP isolates from other departments were genetically very close to those from the ICU, with fewer than 16 SNP differences. To further elucidate the transmission routes among departments within the hospital, we reconstructed detailed patient-to-patient transmission pathways using hybrid methods that combine TransPhylo with an SNP-based algorithm. A clear transmission route, along with mutations in potential key genes, was deduced from genomic data coupled with clinical information in this study, providing insights into CRKP transmission dynamics in healthcare settings.

Spatial equity and factors associated with intensive care unit bed allocation in China.

BACKGROUND: At present, unequal allocation of medical resources represents a major problem for medical service management in China and many other countries. Equity of intensive care unit (ICU) bed allocation is essential for timely and equitable access to medical care for critically ill patients. This study analysed the equity of ICU bed allocation in 31 provincial regions in China, and the associated factors, to provide a theoretical basis for improvement in the allocation of ICU beds. METHODS: The equity of ICU bed allocation was investigated in 31 provincial regions in China in 2021. The Gini coefficient combined with Lorenz curves were used to analyse the current status of ICU bed allocation by both population and service area. The spatial heterogeneity and aggregation of ICU bed density were analysed using the Global Moran's index. The spatial distribution pattern was visualized via LISA maps using the Local Moran's index. Three grey correlation models were constructed to assess the key factors influencing ICU bed density. Finally, robustness analysis was performed to test the reliability of the results. RESULTS: The allocation of ICU beds in China was highly inequitable by service area (Gini = 0.68) and showed better balance by population distribution (Gini = 0.14). The distribution of ICU beds by service area was highly spatially clustered (Global Moran's I = 0.22). The bed utilization rate exhibited the strongest association with ICU bed density by population. Registered nurses per 10,000 square kilometres was the strongest factor affecting ICU bed density by service area. CONCLUSIONS: The allocation of ICU beds by population is better than by service area; the allocation by service area is less equitable in China. These findings emphasise the need to implement better measures to reduce ICU bed equity differences between regions and balance and coordinate medical resources. Service area size, bed utilization, the number of registered nurses and other key factors should be considered when performing regional health planning for ICU bed supply. This will increase the equitable access to critical medical services for all populations.

A case series of emphysematous pyelonephritis in COVID-positive patients.

Emphysematous pyelonephritis (EPN) is a rare infectious disease affecting the renal and perirenal tissues, wherein gas formation occurs in the renal parenchyma, perinephric tissues, or collecting systems. It can be life threatening with mortality rates upto 60%. Here, we report a case series of EPN during the COVID pandemic with COVID test-positive patients who were diagnosed based on clinical signs, symptoms, and CT scans. One patient was conservatively managed, one underwent nephrectomy, and the others were treated with percutaneous drainage and pigtailing. Despite being critically ill, all the patients recovered uneventfully. Owning to the rarity of the lesion and variations in the clinical spectrum, the diagnosis of EPN is challenging. EPN requires early diagnosis and prompt management. The interventional technique depends on the clinical status of the patient and the severity of the lesion. Although the threshold of intervention is low in normal clinical practice, in covid patients, we tried to manage patients conservatively and intervened only when unavoidable.

Handgrip strength as a prognostic factor for COVID-19 mortality among older adult patients admitted to the intensive care unit (ICU): a comparison Alpha (B.1.1.7) and Delta (B.1.617.2) variants.

Handgrip strength (HGS) is a non-invasive and reliable biomarker of overall health, physical function, mobility, and mortality. This study aimed to investigate the possible relationship between HGS and mortality in older adult patients hospitalized with COVID-19 in the intensive care unit (ICU) by Alpha (B.1.1.7) and Delta (B.1.617.2) variants. This retrospective cohort study was conducted on 472 COVID-19 patients (222 female and 250 male) aged 60-85 years admitted to the ICU. Demographic data, underlying comorbidities, COVID-19-related symptoms, as well as laboratory and computed tomography (CT) findings were obtained from the patient's medical records. Using a JAMAR® hydraulic dynamometer, the average grip strength value (kg) after three measurements on the dominant side was recorded for subsequent analysis. Low grip strength (LGS) was defined as an arbitrary cut-off of two standard deviations below the gender-specific peak mean value of normative HGS in Iranian healthy population, i.e. < 26 kg in males and < 14 kg in females. The findings showed lower mean grip strength and high frequency of LGS in the non-survivors patients versus survivors group and in the Delta (B.1.617.2) variant vs. Alpha (B.1.1.7) variant, respectively (both p < 0.01). The binary logistic regression analysis showed that chronic obstructive pulmonary disease (COPD) (adjusted odds ratio [OR] 5.125, 95% CI 1.425-25.330), LGS (OR 4.805, 95% CI 1.624-10.776), SaO2 (OR - 3.501, 95% CI 2.452-1.268), C-reactive protein (CRP) level (OR 2.625, 95% CI 1.256-7.356), and age (OR 1.118, 95% CI 1.045-1.092) were found to be independent predictors for mortality of patients with Alpha (B.1.1.7) variant (all p < 0.05). However, only four independent predictors including COPD (OR 6.728, 95% CI 1.683-28.635), LGS (OR 5.405, 95% CI 1.461-11.768), SaO2 (OR - 4.120, 95% CI 2.924-1.428), and CRP level (OR 1.893, 95% CI 1.127-8.692) can be predicted the mortality of patients with Delta (B.1.617.2) variant (p < 0.05). Along with the well-known and common risk factors (i.e. COPD, CRP, and SaO2), handgrip strength can be a quick and low-cost prognostic tool in predicting chances of mortality in older adults who are afflicted with COVID-19 variants.

Relationship between enteral nutrition timing and 28-day mortality in critically ill stroke patients in the MIMIC-IV database.

Background: The ideal timing for commencing enteral nutrition (EN) in critically ill stroke patients in the intensive care unit (ICU) remains a subject of debate, with ongoing controversy regarding the impact of early EN (EEN) initiation. In this study, we investigated the association between the timing of EN initiation and 28-day mortality using data from the MIMIC-IV database. Methods: This study employed a retrospective cohort design using the MIMIC-IV database to identify stroke patients who received EN during their hospital stay. The main focus of this investigation was to examine 28-day mortality among these patients following hospital admission. Various demographic, clinical, laboratory, and intervention variables were considered as covariates. The Cox regression analysis was employed to assess the correlation between the timing of EN initiation and 28-day mortality, and restricted cubic splines (RCS) analysis was used to test for non-linear correlation. Patients were then stratified into two cohorts depending on the timing of EN initiation: within 2 days (n = 564) and beyond 2 days (n = 433). A multivariate Cox regression analysis was used to investigate the difference in 28-day mortality between the groups. Results: A total of 997 participants were included in this study, with 318 (31.9%) dying within 28 days. We observed that the timing of EN initiation correlated with 28-day mortality, but this correlation was not significant after adjusting for covariates (crude HR: 0.94, 95% CI: 0.88-1, p = 0.044; adjusted HR: 0.96, 95% CI: 0.9-1.02, p = 0.178). The RCS analysis showed that the correlation was not non-linear. Notably, in the multivariate regression models, early EN initiation was associated with a higher mortality rate compared to late EN initiation [odds ratio (OR) = 1.34, 95% CI: 1.06-1.67, p = 0.012]. After adjusting for various confounding factors in the multivariate Cox regression models, we identified that patients in the early EN group had a 28% higher risk of mortality than those in the reference group (OR = 1.27, 95% CI: 1-1.61, p = 0.048). These associations remained consistent across various patient characteristics, as revealed through stratified analyses. Conclusions: Early commencement of EN in critically ill stroke patients may be linked to a higher risk of 28-day mortality, highlighting the need for further investigation and a more nuanced consideration of the optimal timing for commencing EN in this patient population.

A Narrative Review on Magnesium Sulfate as a Game Changer in Reducing ICU Stays in Organophosphate Poisoning Cases.

Organophosphate (OP) poisoning is a critical public health issue, particularly in agricultural regions where these compounds are extensively used as pesticides. The toxic effects of OP compounds arise from their inhibition of acetylcholinesterase, leading to an accumulation of acetylcholine and a subsequent cholinergic crisis, which can be fatal if not promptly treated. Traditional management of OP poisoning includes the administration of atropine and pralidoxime; however, these treatments often fall short of reducing the high morbidity and mortality associated with severe cases. Recent research has highlighted the potential of magnesium sulfate as an adjunctive treatment for OP poisoning. Magnesium sulfate exerts its beneficial effects through mechanisms such as calcium channel blockade and stabilization of neuromuscular junctions, which help mitigate the cholinergic hyperactivity induced by OP compounds. Clinical studies have shown that magnesium sulfate can significantly reduce the duration of intensive care unit (ICU) stays and improve overall patient outcomes. This narrative review aims to comprehensively analyze current insights into using magnesium sulfate to manage OP poisoning. It discusses the pathophysiology of OP poisoning, the pharmacological action of magnesium sulfate, and the clinical evidence supporting its use. Furthermore, the review will address the safety profile of magnesium sulfate and its potential role in current treatment guidelines. By synthesizing available evidence, this review seeks to establish magnesium sulfate as a game-changer in the management of OP poisoning, ultimately contributing to better clinical practices and patient outcomes.

Outcomes of Traumatic Brain Injury Patients Managed in a Non-Intensive Care Unit Setting.

INTRODUCTION: The management of traumatic brain injury (TBI) requires significant health-care resources. The modified Brain Injury Guidelines (mBIG) stratifies TBI patients by severity to help guide disposition and management. We sought to analyze the outcomes of TBI patients managed in a non-intensive care unit (ICU) setting after stratifying them using the mBIG criteria. METHODS: A retrospective single-center study was performed on all adult patients who sustained blunt TBI from 2021 to 2022 and were managed in a non-ICU setting. Primary outcome was unplanned upgrade to the ICU. Secondary outcomes were need for neurosurgical intervention, unplanned intubation, mortality, and hospital length of stay. Patients were divided into cohorts of mBIG 1 & 2 versus mBIG 3. RESULTS: Of the 274 patients managed in a non-ICU setting, 119 (43.4%) met mBIG 3 criteria. The majority (76.5%) were managed in a step-down level of care. Nine patients required upgrade to the ICU, with only two upgraded for acute progression of their intracranial hemorrhage. Eight patients in mBIG 3 cohort required neurosurgical interventions, with only two related to progression of their intracranial hemorrhage and both over 24 h after admission. The remaining six patients had planned delayed neurosurgical intervention. Unplanned intubation occurred in three patients with only one related to a delayed progression of their TBI. Longer hospitalization and decreased survival were noted in mBIG 3 group. No differences in 30-d readmissions, stroke, venous thromboembolism events or seizures were found between the two groups. CONCLUSIONS: Select patients with severe TBI may be considered for admission to step-down units with frequent neurologic exams in lieu of ICU level of care.

Unveiling the performance of the prehospital Rapid Emergency Medicine Score (pREMS): How the predictive score impacts in-hospital outcomes in traumatic brain injury (TBI): A retrospective observational cohort study.

INTRODUCTION: This study aimed to evaluate the predictive accuracy of the prehospital rapid emergency medicine score (pREMS) for predicting the outcomes of hospitalized patients with traumatic brain injury (TBI) who died, were discharged, were admitted to the intensive care unit (ICU), or were admitted to the operating room (OR) within 72 h. METHODS: A retrospective cohort analysis was performed on a sample of 513 TBI patients admitted to the emergency department (ED) of Besat Hospital in 2023. Only patients of both sexes aged 18 years or older who were not pregnant and had adequate documentation of vital signs were included in the analysis. Patients who died during transport and patients who were transferred from other hospitals were excluded. The predictive power of the pREMS for each outcome was assessed by calculating the sensitivity and specificity curves and by analyzing the area under the receiver operating characteristic curve (AUROC). RESULTS: The mean pREMS scores for hospital discharge, death, ICU admission and OR admission were 11.97 ± 3.84, 6.32 ± 3.15, 8.24 ± 5.17 and 9.88 ± 2.02, respectively. pREMS accurately predicted hospital discharge and death (AOR = 1.62, P < 0.001) but was not a good predictor of ICU or OR admission (AOR = 1.085, P = 0.603). The AUROCs for the ability of the pREMS to predict outcomes in hospitalized TBI patients were 0.618 (optimal cutoff point = 7) for ICU admission and OR and 0.877 (optimal cutoff point = 9.5) for hospital discharge and death at 72 h. CONCLUSION: The results indicate that the pREMS, a new preclinical trauma score for traumatic brain injury, is a useful tool for prehospital risk stratification (RST) in TBI patients. The pREMS showed good discriminatory power for predicting in-hospital mortality within 72 h in patients with traumatic brain injury.

Artificial Intelligence-Based Models for Prediction of Mortality in ICU Patients: A Scoping Review.

BACKGROUND AND OBJECTIVE: Healthcare professionals may be able to anticipate more accurately a patient's timing of death and assess their possibility of recovery by implementing a real-time clinical decision support system. Using such a tool, the healthcare system can better understand a patient's condition and make more informed judgements about distributing limited resources. This scoping review aimed to analyze various death prediction AI (Artificial Intelligence) algorithms that have been used in ICU (Intensive Care Unit) patient populations. METHODS: The search strategy of this study involved keyword combinations of outcome and patient setting such as mortality, survival, ICU, terminal care. These terms were used to perform database searches in MEDLINE, Embase, and PubMed up to July 2022. The variables, characteristics, and performance of the identified predictive models were summarized. The accuracy of the models was compared using their Area Under the Curve (AUC) values. RESULTS: Databases search yielded an initial pool of 8271 articles. A two-step screening process was then applied: first, titles and abstracts were reviewed for relevance, reducing the pool to 429 articles. Next, a full-text review was conducted, further narrowing down the selection to 400 key studies. Out of 400 studies on different tools or models for prediction of mortality in ICUs, 16 papers focused on AI-based models which were ultimately included in this study that have deployed different AI-based and machine learning models to make a prediction about negative patient outcome. The accuracy and performance of the different models varied depending on the patient populations and medical conditions. It was found that AI models compared with traditional tools like SAP3 or APACHE IV score were more accurate in death prediction, with some models achieving an AUC of up to 92.9%. The overall mortality rate ranged from 5% to more than 60% in different studies. CONCLUSION: We found that AI-based models exhibit varying performance across different patient populations. To enhance the accuracy of mortality prediction, we recommend customizing models for specific patient groups and medical contexts. By doing so, healthcare professionals may more effectively assess mortality risk and tailor treatments accordingly. Additionally, incorporating additional variables-such as genetic information-into new models can further improve their accuracy.

Clinical audit of cases and outcomes of patients admitted to the intensive care unit at Kamuzu Central Hospital, Lilongwe, Malawi.

In 2016, a new, improved and modern intensive care unit was constructed at Kamuzu Central Hospital in Lilongwe, Malawi. Having been operational for about 4 years, there has not been a systematic audit to gauge its performance. Therefore, this quantitative retrospective cohort study aimed at investigating the performance of the intensive care unit at Kamuzu Central Hospital in Lilongwe, Malawi. We analysed the patterns of admission through 250 clinical cases and their respective outcomes spanning from 1st January 2019 to 31st December 2019 using STATA. Descriptive and inferential statistics were computed. We also had a follow-up discussion with the Head of the unit to better understand the unit's functioning. Out of the 250 admissions, we evaluated 249 case files. About 30.8% of all patients were referred from the main operating theatre, and 20.7% from the casualty (emergency medicine). Head injury (26.7%) and peritonitis (15.7%) were the commonest causes of admission. The overall mortality was 52.2% with more females (57.5%) dying than males (47.9%). Head injury and peritonitis had the highest contribution to the mortality accounting for 25.3% and 16.9% of all deaths respectively. In conclusion, despite the new unit registering an improved performance compared to the old unit's 2012 mortality of 60.9%, the current mortality rate of 52.2% generally reflects a suboptimal performance. The intensive care unit is still grappling with a number of challenges that need immediate attention including few working beds, shortage of critical care specialists and nursing staff and lack of standard admission criteria.

Effect of Dopamine as a Vascular Endothelial Growth Factor Antagonist on the Development of Acute Lung Injury in Sepsis Patients.

BACKGROUND: Sepsis is a dysregulated host immune response stemming from a systemic inflammatory response to microbial invasion, encompassing bacteria, viruses, and other pathogens. The vascular endothelial growth factor (VEGF) was initially identified for its potent induction of endothelial permeability. Studies have proposed a therapeutic role of dopamine in mitigating VEGF-induced permeability, shedding light on its potential in acute respiratory distress syndrome (ARDS) management. MAIN OBJECTIVE: To determine the effect of dopamine as an inhibitor of VEGF and to prevent the progression of sepsis to acute lung injury (ALI) and ARDS. METHODS: A total of 154 critical care unit patients with a diagnosis of sepsis were randomized into two groups: Group I (control group) and Group II (Study group). Both received standard treatment, as per ICU protocol. In addition, the study group (Group II) received a dopamine infusion of 2 micrograms/kg/min. Baseline routine investigation, procalcitonin, and chest X-ray were done. Day one and day seven blood samples were stored for analysis of VEGF levels. Murray's score and sequential organ failure assessment (SOFA) score (organ dysfunction) were calculated from day one to day seven. RESULTS: VEGF levels on day seven were significantly lower in the study group compared to the control group (p<0.05). The PaO2/FiO2 ratio at day seven was significantly increased in the study group than in the control group, indicating an improvement in oxygenation status in the study group. There was a mean ICU stay of 9.3 days in the study group versus 11.6 days in the control group (p<0.05). The SOFA score showed a significant improvement in the study group from day five onwards, indicating a therapeutic effect of dopamine on organ dysfunction in sepsis. CONCLUSION: Dopamine reduces VEGF and lung injury mediated by increased endothelial permeability.

Enfermagem em UTI: cuidados essenciais na assistência direta ao paciente / ICU nursing: essential care in direct patient care

Objetivo: O objetivo deste estudo foi identificar e descrever os cuidados essenciais que os enfermeiros devem ter ao atuar em uma Unidade de Terapia Intensiva (UTI). Métodos: Realizou-se uma revisão bibliográfica da literatura, com uma abordagem qualitativa, descritiva e exploratória. As buscas foram realizadas PubMed, SciELO, LILACS e BIREME. Resultados: Os cuidados de enfermagem desempenham um papel crucial na recuperação e bem-estar dos pacientes em estado crítico na UTI. As intervenções dos enfermeiros devem ser embasadas em conhecimento científico, empatia e habilidades técnicas avançadas. Discute-se a importância da monitorização rigorosa, controle de infecções, prevenção de complicações da imobilidade, abordagem holística ao paciente e comunicação efetiva na UTI. Conclusão: Conclui-se que os enfermeiros devem basear suas intervenções em conhecimento científico, empatia e habilidades técnicas avançadas, destacando-se a importância da monitorização, controle de infecções, prevenção de complicações da imobilidade, abordagem holística ao paciente e comunicação efetiva na UTI.(AU)

Objectives: The objective of this study was to identify and describe the essential care that nurses must take when working in an Intensive Care Unit (ICU). Methods: A bibliographical review of the literature was carried out, with a qualitative, descriptive and exploratory approach. The searches were carried out in PubMed, SciELO, LILACS and BIREME. Results: Nursing care plays a crucial role in the recovery and well-being of critically ill patients in the ICU. Nurses' interventions must be based on scientifi c knowledge, empathy and advanced technical skills. The importance of rigorous monitoring, infection control, prevention of immobility complications, a holistic approach to the patient and effective communication in the ICU are discussed. Conclusion: It is concluded that nurses must base their interventions on scientifi c knowledge, empathy and advanced technical skills, highlighting the importance of monitoring, infection control, prevention of immobility complications, a holistic approach to the patient and effective communication in the ICU.(AU)

Objetivos: El objetivo de este estudio fue identifi car y describir los cuidados esenciales que deben tener las enfermeras cuando trabajan en una Unidad de Cuidados Intensivos (UCI). Métodos: Se realizó una revisión bibliográfi ca de la literatura, con un enfoque cualitativo, descriptivo y exploratorio. Las búsquedas se realizaron en PubMed, SciELO, LILACS y BIREME. Resultados: Los cuidados de enfermería juegan un papel crucial en la recuperación y el bienestar de los pacientes críticos en la UCI. Las intervenciones de las enfermeras deben basarse en el conocimiento científi co, la empatía y las habilidades técnicas avanzadas. Se discute la importancia de un seguimiento riguroso, el control de infecciones, la prevención de complicaciones de la inmovilidad, un enfoque holístico del paciente y una comunicación efi caz en la UCI. Conclusión: Se concluye que los enfermeros deben basar sus intervenciones en el conocimiento científi co, la empatía y las habilidades técnicas avanzadas, resaltando la importancia del seguimiento, control de infecciones, prevención de complicaciones de la inmovilidad, abordaje holístico del paciente y comunicación efectiva en la UCI.(AU)

Optimal methodology for percutaneous dilatational tracheostomy: a comparative analysis between conventional and multidisciplinary approaches utilizing ultrasound, flexible bronchoscopy, and microcatheter puncture in critically ill individuals of diminutive stature-a longitudinal single-institutional experience and retrospective analysis.

Background: Percutaneous dilatational tracheostomy (PDT), a bedside procedure in intensive care, enhances respiratory support for critically ill patients with benefits over traditional tracheostomy, such as improved safety, ease of use, cost-effectiveness, and operational efficiency by eliminating patient transfers to the operating room. It also minimizes complications including bleeding, infection, and inflammation. Despite decades of PDT evolution and device diversification, adaptations primarily cater to larger Western patients rather than smaller-statured Korean populations. This study assesses the efficacy and appropriateness of the Ciaglia Blue Rhino (Cook Critical Care, Bloomington, IN, USA), augmented with ultrasound, flexible bronchoscopy, and microcatheter techniques, for Korean patients with short stature. Methods: We conducted PDT on 183 intubated adults (128 male/55 female) with severe respiratory issues at a single medical center from January 2010 to December 2022. Patients were divided into two groups for retrospective analysis: a modified group (n=133) underwent PDT with ultrasound-guided flexible bronchoscopy and microcatheter puncture, and a conventional group (n=50) received PDT using only the Ciaglia Blue Rhino device. We assessed clinical and demographic characteristics, outcomes, and complications such as pneumothorax and emphysema. The study also evaluated the suitability and effectiveness of the devices for Korean patients with short stature. Results: Demographic characteristics including sex, body weight, height, body mass index, obesity status, and underlying diseases showed no significant differences between the two groups. However, the modified group was older (69.5±14.2 vs. 63.5±14.1 years; P=0.01). The sequential organ failure assessment (SOFA) and simplified acute physiology score (SAPS) II score was slightly higher in the modified groups, but no statistically significant differences were observed (7.1±2.3 vs. 6.7±2.3, P=0.31 and 46.7±9.0 vs. 44.0±9.1, P=0.08, respectively). The duration of hospital and ICU stays, as well as days post-PDT, were longer in the conventional group, yet these differences were not statistically significant (P=0.20, P=0.44, P=0.06). Total surgical time, including preparation, ultrasound, bronchoscopy, and microcatheter puncture, was significantly longer in the modified group (25.6±7.5 vs. 19.9±6.5 minutes; P<0.001), and the success rate of the first tracheal puncture was also higher (100.0% vs. 92.0%; P=0.006). Intra-operative bleeding was less frequent in the modified group (P=0.02 for tracheostomy site bleeding and P=0.002 for minor bleeding). Conclusions: PDT, performed at the bedside in intensive care settings, proves to be a swift and dependable method. Utilizing the Ciaglia Blue Rhino device, combined with ultrasound guidance, flexible bronchoscopy, and 4.0-Fr microcatheter puncture, PDT is especially effective for intubated patients who cannot be weaned from ventilation. This technique results in fewer complications than traditional tracheostomy and is particularly beneficial for patients with respiratory issues and smaller-statured Koreans, potentially reducing morbidity and mortality.

Safety and Feasibility of Neuromuscular Electrical Stimulation in Patients with Extracorporeal Membrane Oxygenation.

Background/Objectives: The aim of this study was to investigate the feasibility and safety of neuromuscular electrical stimulation (NMES) in patients on extracorporeal membrane oxygenation (ECMO) and thoroughly assess any potential adverse events. Methods: We conducted a prospective observational study assessing safety and feasibility, including 16 ICU patients on ECMO support who were admitted to the cardiac surgery ICU from January 2022 to December 2023. The majority of patients were females (63%) on veno-arterial (VA)-ECMO (81%), while the main cause was cardiogenic shock (81%) compared to respiratory failure. Patients underwent a 45 min NMES session while on ECMO support that included a warm-up phase of 5 min, a main phase of 35 min, and a recovery phase of 5 min. NMES was implemented on vastus lateralis, vastus medialis, gastrocnemius, and peroneus longus muscles of both lower extremities. Two stimulators delivered biphasic, symmetric impulses of 75 Hz, with a 400 µsec pulse duration, 5 sec on (1.6 sec ramp up and 0.8 sec ramp down) and 21 sec off. The intensity levels aimed to cause visible contractions and be well tolerated. Primary outcomes of this study were feasibility and safety, evaluated by whether NMES sessions were successfully achieved, and by any adverse events and complications. Secondary outcomes included indices of rhabdomyolysis from biochemical blood tests 24 h after the application of NMES. Results: All patients successfully completed their NMES session, with no adverse events or complications. The majority of patients achieved type 4 and 5 qualities of muscle contraction. Conclusions: NMES is a safe and feasible exercise methodology for patients supported with ECMO.

A Comprehensive Review of the Role of Biomarkers in the Early Detection of Endocrine Disorders in Critical Illnesses.

Endocrine disorders pose significant challenges in the management of critically ill patients, contributing to morbidity and mortality in intensive care settings. Timely detection of these disorders is essential to optimizing patient outcomes. Biomarkers, as measurable indicators of biological processes or disease states, play a crucial role in the early identification and monitoring of endocrine dysfunction. This comprehensive review examines the role of biomarkers in the early detection of endocrine disorders in critical illnesses. We provide an overview of common endocrine disorders encountered in the intensive care unit (ICU) and discuss the impact of endocrine dysregulation on patient outcomes. Additionally, we classify biomarkers and explore their significance in diagnosing and monitoring endocrine disorders, including thyroid dysfunction, adrenal insufficiency, and hypopituitarism. Furthermore, we discuss the clinical applications of biomarkers, including their utility in guiding therapeutic interventions, monitoring disease progression, and predicting outcomes in critical illnesses. Emerging trends and future directions in biomarker research are also highlighted, emphasizing the need for continued investigation into novel biomarkers and technological advancements. Finally, we underscore the potential of biomarkers to revolutionize the early detection and management of endocrine disorders in critical illnesses, ultimately improving patient care and outcomes in the ICU.

Diagnostic and Prognostic Value of Serum Leptin in Critically Ill Patients with Acute versus Acute-on-Chronic Liver Failure.

Differentiation between acute liver failure (ALF) and acute-on-chronic liver failure (ACLF) can be challenging in patients with de novo liver disease but is important to indicate the referral to a transplant center and urgency of organ allocation. Leptin, an adipocyte-derived cytokine that regulates energy storage and satiety, has multiple regulatory functions in the liver. We enrolled 160 critically ill patients with liver disease and 20 healthy individuals to measure serum leptin concentrations as a potential biomarker for diagnostic and prognostic purposes. Notably, patients with ALF had higher concentrations of serum leptin compared to patients with decompensated advanced chronic liver disease (dACLD) or ACLF (110 vs. 50 vs. 29 pg/mL, p < 0.001). Levels of serum leptin below 56 pg/mL excluded ALF in patients with acute hepatic disease, with a negative predictive value (NPV) of 98.8% in our cohort. Lastly, serum leptin did not show any dynamic changes within the first 48 h of ICU treatment, especially not in comparison with patients with ALF vs. ACLF or survivors vs. non-survivors. In conclusion, serum leptin may represent a helpful biomarker to exclude ALF in critically ill patients who present with acute liver dysfunction.

Assessment of phosphatemia at admission to the intensive care unit to predict mechanical ventilation among patients with acute exacerbation of chronic obstructive pulmonary disease: a retrospective cohort study.

Background: Hypophosphatemia has been reported to impair diaphragmatic function in patients with chronic obstructive pulmonary disease (COPD). However, little is known about the role of dysphosphatemia at admission [plasmatic phosphate concentration at intensive care unit (ICU) admission (T0-Ph)] to the ICU and respiratory outcomes among patients with severe acute COPD exacerbation. We aimed to assess the value of T0-Ph as a predictive factor of invasive mechanical ventilation (MV) during ICU stay. Methods: We retrospectively included consecutive patients admitted to the ICU for a severe acute exacerbation of COPD between May 2015 and December 2018. Logistic multivariate regression analysis was performed to identify association between T0-Ph and the need for invasive MV during the ICU stay. Results: We included 198 patients of whom 132 (67%) were male. The median age was 70 [interquartile range (IQR), 61-77] years. Nine (4.5%) patients died in the ICU. Median T0-Ph was significantly higher among patients requiring invasive MV as compared to non-intubated patients [1.23 (IQR, 1.07-1.41) and 1.09 (IQR, 0.91-1.27) mmol/L; P=0.005]. By multivariate analysis, pneumonia [odds ratio (OR) =6.42; 95% confidence interval (CI): 2.78-15.96; P<0.0001) and a history of intubation (OR =3.33; 95% CI: 0.97-11.19; P=0.05) were independently associated with the need for invasive MV, whereas T0-Ph was not (OR =1.75; 95% CI: 0.72-4.44; P=0.22). Conclusions: T0-Ph was significantly higher in patients requiring invasive MV. However, T0-Ph was not associated with the need for invasive MV in multivariate analysis.

Design and Implementation of an Intensive Care Unit Command Center for Medical Data Fusion.

The rapid advancements in Artificial Intelligence of Things (AIoT) are pivotal for the healthcare sector, especially as the world approaches an aging society which will be reached by 2050. This paper presents an innovative AIoT-enabled data fusion system implemented at the CMUH Respiratory Intensive Care Unit (RICU) to address the high incidence of medical errors in ICUs, which are among the top three causes of mortality in healthcare facilities. ICU patients are particularly vulnerable to medical errors due to the complexity of their conditions and the critical nature of their care. We introduce a four-layer AIoT architecture designed to manage and deliver both real-time and non-real-time medical data within the CMUH-RICU. Our system demonstrates the capability to handle 22 TB of medical data annually with an average delay of 1.72 ms and a bandwidth of 65.66 Mbps. Additionally, we ensure the uninterrupted operation of the CMUH-RICU with a three-node streaming cluster (called Kafka), provided a failed node is repaired within 9 h, assuming a one-year node lifespan. A case study is presented where the AI application of acute respiratory distress syndrome (ARDS), leveraging our AIoT data fusion approach, significantly improved the medical diagnosis rate from 52.2% to 93.3% and reduced mortality from 56.5% to 39.5%. The results underscore the potential of AIoT in enhancing patient outcomes and operational efficiency in the ICU setting.

A targeted likelihood estimation comparing cefepime and piperacillin/tazobactam in critically ill patients with community-acquired pneumonia (CAP).

Cefepime and piperacillin/tazobactam are antimicrobials recommended by IDSA/ATS guidelines for the empirical management of patients admitted to the intensive care unit (ICU) with community-acquired pneumonia (CAP). Concerns have been raised about which should be used in clinical practice. This study aims to compare the effect of cefepime and piperacillin/tazobactam in critically ill CAP patients through a targeted maximum likelihood estimation (TMLE). A total of 2026 ICU-admitted patients with CAP were included. Among them, (47%) presented respiratory failure, and (27%) developed septic shock. A total of (68%) received cefepime and (32%) piperacillin/tazobactam-based treatment. After running the TMLE, we found that cefepime and piperacillin/tazobactam-based treatments have comparable 28-day, hospital, and ICU mortality. Additionally, age, PTT, serum potassium and temperature were associated with preferring cefepime over piperacillin/tazobactam (OR 1.14 95% CI [1.01-1.27], p = 0.03), (OR 1.14 95% CI [1.03-1.26], p = 0.009), (OR 1.1 95% CI [1.01-1.22], p = 0.039) and (OR 1.13 95% CI [1.03-1.24], p = 0.014)]. Our study found a similar mortality rate among ICU-admitted CAP patients treated with cefepime and piperacillin/tazobactam. Clinicians may consider factors such as availability and safety profiles when making treatment decisions.

Mobilizing Progress: A Comprehensive Review of the Efficacy of Early Mobilization Therapy in the Intensive Care Unit.

Early mobilization therapy has emerged as a crucial aspect of intensive care unit (ICU) management, aiming to counteract the detrimental effects of prolonged immobility in critically ill patients. This comprehensive review examines the efficacy of early mobilization therapy in the ICU setting, synthesizing evidence from clinical trials, meta-analyses, and guidelines. Key findings indicate that early mobilization is associated with numerous benefits, including reduced muscle weakness, a shorter duration of mechanical ventilation, decreased ICU and hospital length of stay, and improved functional outcomes. However, safety concerns, staffing limitations, and patient-specific considerations pose significant barriers to widespread adoption. Despite these challenges, early mobilization is important for improving ICU patient outcomes. This review underscores the critical need for continued research and implementation efforts to optimize early mobilization protocols, address remaining challenges, and expand access to this beneficial therapy. By working collaboratively to overcome barriers and prioritize early mobilization, healthcare providers can enhance the quality of care and improve outcomes for critically ill patients in the ICU.