Live music in the intensive care unit - a beautiful experience

BACKGROUND

The growing number of lightly or non-sedated patients who are critically ill means that more patients experience the noisy and stressful environment. Live music may create positive and meaningful moments.

PURPOSE

To explore non-sedated patients' experiences of patient-tailored live music interventions in the intensive care unit.

DESIGN

A qualitative study using a phenomenological-hermeneutic approach. Data were collected at two intensive care units from September 2019 to February 2020 exploring 18 live music interventions performed by music students from The Royal Academy of Music, Aarhus, Denmark.

METHODS

Observations of live music interventions followed by patient interviews. All data together were analysed using Ricoeur's theory of interpretation. The Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist was used.

RESULTS

Five themes emerged: 1) A break from everyday life, 2) A room with beautiful sounds and emotions, 3) Too tired to participate, 4) Knowing the music makes it meaningful and 5) A calm and beautiful moment.

CONCLUSION

Patient-tailored live music to awake patients is both feasible and acceptable and perceived as a break from every-day life in the ICU.

IMPLICATIONS FOR PRACTICE

Supporting health and well-being by bringing a humanizing resource into the intensive care setting for patients and nurses to enjoy.

Implementing an ICU registry in Ethiopia-Implications for critical care quality improvement

PURPOSE

Intensive care units (ICUs) in low- and middle-income countries have high mortality rates, and clinical data are needed to guide quality improvement (QI) efforts. This study utilizes data from a validated ICU registry specially developed for resource-limited settings to identify evidence-based QI priorities for ICUs in Ethiopia.

MATERIALS AND METHODS

A retrospective cohort analysis of data from two tertiary referral hospital ICUs in Addis Ababa, Ethiopia from July 2021-June 2022 was conducted to describe casemix, complications and outcomes and identify features associated with ICU mortality.

RESULTS

Among 496 patients, ICU mortality was 35.3%. The most common reasons for ICU admission were respiratory failure (24.0%), major head injury (17.5%) and sepsis/septic shock (13.3%). Complications occurred in 41.0% of patients. ICU mortality was higher among patients with respiratory failure (46.2%), sepsis (66.7%) and vasopressor requirements (70.5%), those admitted from the hospital ward (64.7%), and those experiencing major complications in the ICU (62.3%).

CONCLUSIONS

In this study, ICU mortality was high, and complications were common and associated with increased mortality. ICU registries are invaluable tools to understand local casemix and clinical outcomes, especially in resource-limited settings. These findings provide a foundation for QI efforts and a baseline to evaluate their impact.

Healthcare professionals perspective of the facilitators and barriers to family engagement during patient-and-family-centered-care interdisciplinary rounds in intensive care unit: A qualitative exploratory study

OBJECTIVES

Family engagement in care for critically ill patients remains an inconsistent practice and an understudied area of nursing science. Rounds for this study is an interdisciplinary activity conducted at the bedside in partnership with patients, their families, and the health care professionals involved in providing the care. We sought to explore and describe the facilitators and barriers to family engagement during patient and family-centered interdisciplinary rounds in the intensive care unit.

RESEARCH METHODOLOGY/DESIGN

This qualitative exploratory study is part of a multisite experimental study (#Pro2020001614; NCT05449990). We analyzed the narrative data from the qualitative questions added in the survey from 52 healthcare professionals involved in a multisite experimental study using Braun and Clarke's (2006) constructionist, contextualist approach to thematic analysis.

SETTING

The study was conducted in the intensive care unit of two medical centers.

MAIN OUTCOME MEASURES

The findings presented are themes illuminated from thematic analysis namely communication gaps, family's lack of resources, familial and healthcare providers' characteristics, lack of leadership, interprofessional support, policy, and guidelines.

FINDINGS

Family engagement in critical care during interdisciplinary rounds occurred within the intersectionality among families, healthcare professionals' practice, and organizational factors. The facilitators for family engagement include supported, championed, and advocated-for family adaptation, teams, and professional practice, and organizational receptivity, and support. Communication and leadership are the precursors to family engagement.

CONCLUSIONS

The findings added new knowledge for exploring the nature and scope of family engagement in critical care. Family engagement must be incorporated into the organizational vision and mission, and healthcare delivery systems.

IMPLICATIONS FOR CLINICAL PRACTICE

There is a need to further investigate the resources, organizational support mechanisms, and systems that affect patients, families, and healthcare professionals, and the establishment of policies that will aid in reducing barriers to family engagement in the intensive care unit.

Predicting intubation for intensive care units patients: A deep learning approach to improve patient management

OBJECTIVE

For patients in the Intensive Care Unit (ICU), the timing of intubation has a significant association with patients' outcomes. However, accurate prediction of the timing of intubation remains an unsolved challenge due to the noisy, sparse, heterogeneous, and unbalanced nature of ICU data. In this study, our objective is to develop a workflow for pre-processing ICU data and to develop a customized deep learning model to predict the need for intubation.

METHODS

To improve the prediction accuracy, we transform the intubation prediction task into a time series classification task. We carefully design a sequence of data pre-processing steps to handle the multimodal noisy data. Firstly, we discretize the sequential data and address missing data using interpolation. Next, we employ a sampling strategy to address data imbalance and standardize the data to facilitate faster model convergence. Furthermore, we employ the feature selection technique and propose an ensemble model to combine features learned by different deep learning models.

RESULTS

The performance is evaluated on Medical Information Mart for Intensive Care (MIMIC)-III, an ICU dataset. Our proposed Deep Feature Fusion method achieves an area under the curve (AUC) of the receiver operating curve (ROC) of 0.8953, surpassing the performance of other deep learning and traditional machine learning models.

CONCLUSION

Our proposed Deep Feature Fusion method proves to be a viable approach for predicting intubation and outperforms other deep learning and classical machine learning models. The study confirms that high-frequency time-varying indicators, particularly Mean Blood Pressure (MeanBP) and peripheral oxygen saturation (SpO2), are significant risk factors for predicting intubation.

Parsimonious Waveform-derived Features consisting of Pulse Arrival Time and Heart Rate Variability Predicts the Onset of Septic Shock

Sepsis is a major public health emergency and one of the leading causes of morbidity and mortality in critically ill patients. For each hour treatment is delayed, shock-related mortality increases, so early diagnosis and intervention is of utmost importance. However, earlier recognition of shock requires active monitoring, which may be delayed due to subclinical manifestations of the disease at the early phase of onset. Machine learning systems can increase timely detection of shock onset by exploiting complex interactions among continuous physiological waveforms. We use a dataset consisting of high-resolution physiological waveforms from intensive care unit (ICU) of a tertiary hospital system. We investigate the use of mean arterial blood pressure (MAP), pulse arrival time (PAT), heart rate variability (HRV), and heart rate (HR) for the early prediction of shock onset. Using only five minutes of the aforementioned vital signals from 239 ICU patients, our developed models can accurately predict septic shock onset 6 to 36 hours prior to clinical recognition with area under the receiver operating characteristic (AUROC) of 0.84 and 0.8 respectively. This work lays foundations for a robust, efficient, accurate and early prediction of septic shock onset which may help clinicians in their decision-making processes. This study introduces machine learning models that provide fast and accurate predictions of septic shock onset times up to 36 hours in advance. BP, PAT and HR dynamics can independently predict septic shock onset with a look-back period of only 5 mins.

Investigating the correlation of delirium after cardiac surgery with memories and posttraumatic stress disorder consequences of intensive care unit: A prospective cohort study

OBJECTIVES

To explore the differences in post-intensive care unit memory and posttraumatic stress disorder symptoms between patients with and without delirium, and assess the correlations between the two.

DESIGN

Prospective cohort observation study.

SETTING

A cardiac intensive care unit of a tertiary hospital in China. We enrolled 318 consecutive patients after cardiac surgery between December 2017 and March 2019.

MAIN OUTCOME MEASURES

Delirium was assessed using the Confusion Assessment Method for the ICU from intensive care unit admission to discharge. Intensive care unit memory was assessed using the ICU-Memory Tool through face-to-face interviews one week after discharge. Posttraumatic stress disorder was measured telephonically using the Impact of Events Scale-revised questionnaire at three months post-discharge.

RESULTS

Eighty patients each in the delirium and non-delirium groups were enrolled for follow-up interviews. Patients with delirium had vaguer memories of pre-intensive care unit admission and of their stay, and recollected more memories of feelings (vs. without delirium). Posttraumatic stress disorder was diagnosed in 14 patients with and in seven without delirium, with non-significant differences between groups. Delirium did not influence post-intensive care unit factual, feeling, and delusional memories, nor posttraumatic stress disorder and hyperarousal, intrusion, and avoidance. The memories of feelings were positively correlated with the last three (r = 0.285, r = 0.390 and r = 0.373, respectively).

CONCLUSION

Patients with delirium had vague intensive care unit memories. Memories of feelings were positively correlated with symptoms of hyperarousal, intrusion, and avoidance. Delirium did not influence factual, feeling, or delusional memories nor posttraumatic stress disorder incidence and symptoms.

IMPLICATIONS FOR CLINICAL PRACTICE

Interventions are needed to reduce the impact of vague memory in patients with post-intensive care unit delirium. Memories of feelings should be focused on because of their correlation with hyperarousal, intrusion, and avoidance. Delirium prevention and early recognition measures are suggested.

Patient-important upper gastrointestinal bleeding in the ICU: A mixed-methods study of patient and family perspectives

INTRODUCTION

The objective of this study was to create a definition of patient-important upper gastrointestinal bleeding during critical illness as an outcome for a randomized trial.

DESIGN

This was a sequential mixed-methods qualitative-dominant multi-center study with an instrument-building aim. In semi-structured individual interviews or focus groups we elicited views from survivors of critical illness and family members of patients in the intensive care unit (ICU) regarding which features indicate important gastrointestinal bleeding. Quantitative demographic characteristics were collected. We analyzed qualitative data using inductive content analysis to develop a definition for patient-important upper gastrointestinal bleeding.

SETTING

Canada and the United States.

PARTICIPANTS

51 ICU survivors and family members of ICU patients.

RESULTS

Participants considered gastrointestinal bleeding to be important if it resulted in death, disability, or prolonged hospitalization. The following also signaled patient-important upper gastrointestinal bleeding: blood transfusion, vasopressors, endoscopy, CT-angiography, or surgery. Whether an intervention evinced concern depended on its effectiveness, side-effects, invasiveness and accessibility; contextual influences included participant familiarity and knowledge of interventions and trust in the clinical team.

CONCLUSIONS

Survivors of critical illness and family members described patient-important upper gastrointestinal bleeding differently than current definitions of clinically-important upper gastrointestinal bleeding.

Job satisfaction and burnout syndrome among intensive-care unit nurses: A systematic review and meta-analysis

INTRODUCTION

The severe conditions often experienced in an intensive care unit, combined with poor working conditions, increase stress and therefore decrease job satisfaction. Sustained stress in the workplace leads to the development of burnout, a syndrome characterised by three dimensions: emotional exhaustion, depersonalisation and perceived lack of personal fulfilment.

OBJECTIVE

To analyse the relationship between burnout syndrome and job satisfaction among ICU personnel.

DATA SOURCES

The PubMed, CINAHL and Scopus databases were used.

STUDY DESIGN

A systematic review and meta-analysis. The study sample consisted of 18 quantitative primary studies conducted in the last five years. Validated questionnaires were used to assess burnout in ICU healthcare workers, the most commonly used being the Maslach Burnout Inventory.

EXTRACTION METHODS

The search equation applied was: "job satisfaction AND nurs* AND burnout AND (ICU OR intensive care units)". The search was performed in October 2022.

PRINCIPAL FINDINGS

The search returned 514 results. Only 73 articles met the eligibility criteria. After reading the title and abstract, 20 articles were selected. After reading the full texts, 12 articles remained and after the reverse search, 18 articles were finally selected. The studies reported a 50% prevalence of burnout, all three dimensions of which were heightened by the COVID-19 pandemic. Analysis of the study findings revealed an inverse association between burnout and job satisfaction.

CONCLUSIONS

Job dissatisfaction of ICU nurses depends on lack of experience, working conditions or working environment among others. ICU nurses with lower job satisfaction have higher levels of burnout.

IMPLICATIONS FOR CLINICAL PRACTICE

This meta-analysis shows the potential value of job satisfaction on improving health outcomes related to burnout syndrome for nursing professional in Intensive Care Units. Different factors that could increase job satisfaction and consequently protect them from suffering high levels of burnout, such as salary, permanence in the service, mental health care are the responsibility of the hospital supervisor and, finally, of the own Health System. Knowledge of a risk profile based on the factors influencing job dissatisfaction would enable the implementation of effective workplace interventions to reduce or prevent the risk of burnout. Health policies should focus on protecting the worker, so in addition to improving working conditions, it would be interesting to promote coping skills in order to improve the quality of care and patient safety.

Delirium and delirium severity screening in the intensive care-correspondence of screenings tools

BACKGROUND

Delirium severity scores are gaining acceptance for measuring delirium in the intensive care unit (ICU).

OBJECTIVE

The aim of this study was to evaluate the concordance between the Confusion Assessment Method for the intensive care unit (CAM-ICU)-7 and the Intensive Care Delirium Screening Checklist (ICDSC) as delirium severity measurement tools.

METHODS

This was a prospective, comparative, observational multicentre study. This study was conducted in 18 Danish ICUs. Delirium was assessed in adult critically ill patients admitted to an ICU with a Richmond Agitation and Sedation Score (RASS) of -2 or above. ICU nurses assessed delirium with randomised paired delirium screening instruments, using the CAM-ICU, the ICDSC, and the CAM-ICU-7. The correlation between the CAM-ICU-7 and the ICDSC severity scores was evaluated for all predefined patient subgroups.

RESULTS

A total of 1126 paired screenings were conducted by 127 ICU nurses in 850 patients. The patients' median age was 70 years (interquartile range: 61-77), 40% (339/850) were female, and 54% (457/850) had at least one positive delirium score. Delirium severity ranges (CAM-ICU-7: 0-7; and ICDSC: 0-8) were positively correlated (Pearson's correlation coefficient, r = 0.83; p < 0.0001). The overall agreement between the CAM-ICU-7 and the ICDSC for delirium measurement (CAM-ICU-7: >2, and ICDSC: >3) was substantial (kappa = 0.74), but the agreement decreased to fair (kappa = 0.38) if a patient had a RASS less than 0.

CONCLUSIONS

The agreement between the CAM-ICU-7 and the ICDSC for delirium severity measurement was substantial but might be affected by the patient's sedation and agitation level at the time of assessment.

IMPLICATIONS FOR PRACTICE

Both CAM-ICU-7 and ICDSC can be implemented for delirium severity measurement. Attention is warranted in both scores if a patient has a RASS of -2.

Comparison of the outcomes of Pneumocystis jirovecii pneumonia in rheumatoid arthritis patients treated with and without biologics

BACKGROUND

To investigate the outcomes of Pneumocystis jirovecii pneumonia (PCP) between patients with rheumatoid arthritis (RA) treated with and without biologics before PCP onset.

PATIENTS AND METHODS

We retrospectively included rheumatoid arthritis (RA) patients with PCP treated with and without biologics before PCP onset. The primary endpoints were 30-day and 180-day survival rates, and the secondary endpoint was severe PCP, including in-hospital death, intensive care unit admission, and requirement of respiratory support during hospitalization.

RESULTS

Eighty-two patients were enrolled in this study, including the Biologics group (n = 39) and Non-Biologics group (n = 43). There were no significantly differences in the 30-day and 180-day survival rates and severe PCP rate in the Biologics group and the Non-Biologics group before and after adjusting the patient characteristics. Kaplan-Meier survival curves for death showed no significantly differences between the Biologics and Non-Biologics groups. Cox regression hazard analysis revealed that the average daily prednisolone dose within 90 days before PCP onset was weakly associated with mortality after PCP.

CONCLUSIONS

Biologic use before PCP onset did not increase the severity and mortality of PCP compared to non-biologics use in patients with RA.

Acute Heart Failure: From The Emergency Department to the Intensive Care Unit

Acute heart failure (AHF) is a frequent cause of hospitalization around the world and is associated with high in-hospital and post-discharge morbidity and mortality. This review summarizes data on diagnosis and management of AHF from the emergency department to the intensive care unit. While more evidence is needed to guide risk stratification and care of patients with AHF, hospitalization is a key opportunity to optimize evidence-based medical therapy for heart failure. Close linkage to outpatient care is essential to improve post-hospitalization outcomes.

Development and validation of a nomogram for predicting in-hospital mortality of intensive care unit patients with liver cirrhosis

BACKGROUND

Liver cirrhosis patients admitted to intensive care unit (ICU) have a high mortality rate.

AIM

To establish and validate a nomogram for predicting in-hospital mortality of ICU patients with liver cirrhosis.

METHODS

We extracted demographic, etiological, vital sign, laboratory test, comorbidity, complication, treatment, and severity score data of liver cirrhosis patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV) and electronic ICU (eICU) collaborative research database (eICU-CRD). Predictor selection and model building were based on the MIMIC-IV dataset. The variables selected through least absolute shrinkage and selection operator analysis were further screened through multivariate regression analysis to obtain final predictors. The final predictors were included in the multivariate logistic regression model, which was used to construct a nomogram. Finally, we conducted external validation using the eICU-CRD. The area under the receiver operating characteristic curve (AUC), decision curve, and calibration curve were used to assess the efficacy of the models.

RESULTS

Risk factors, including the mean respiratory rate, mean systolic blood pressure, mean heart rate, white blood cells, international normalized ratio, total bilirubin, age, invasive ventilation, vasopressor use, maximum stage of acute kidney injury, and sequential organ failure assessment score, were included in the multivariate logistic regression. The model achieved AUCs of 0.864 and 0.808 in the MIMIC-IV and eICU-CRD databases, respectively. The calibration curve also confirmed the predictive ability of the model, while the decision curve confirmed its clinical value.

CONCLUSION

The nomogram has high accuracy in predicting in-hospital mortality. Improving the included predictors may help improve the prognosis of patients.

[Changing team structures in intensive care medicine]

Intensive care units are highly complex environments where critically ill patients are treated. Therefore, it is mandatory for various professional groups to work closely together. In the past, mainly nursing and medical teams were involved, but today team structures are changing, and more professional groups are entering the environment. Demographic change with increasing comorbidities as well as increasingly complex treatments and technologies are challenges for the intensive care teams. Another enormous challenge is the increasing shortage of nursing staff, which affects the entire healthcare system. To meet these challenges, new concepts are necessary. In accordance with long-standing international standards, an academization of the nursing profession is proposed. The aim is to integrate academically educated nurses and to introduce new nursing roles. Concepts integrating nursing sciences should also be considered.

The U-shaped association between serum osmolality and 28-day mortality in patients with sepsis: a retrospective cohort study

BACKGROUND

Sepsis is a recognized global health challenge that places a considerable disease burden on countries. Although there has been some progress in the study of sepsis, the mortality rate of sepsis remains high. The relationship between serum osmolality and the prognosis of patients with sepsis is unclear.

METHOD

Patients with sepsis who met the criteria in the Medical Information Mart for Intensive Care IV database were included in the study. Hazard ratios (HRs) and 95% confidence intervals (CIs) were determined using multivariable Cox regression. The relationship between serum osmolality and the 28-day mortality risk in patients with sepsis was investigated using curve fitting, and inflection points were calculated.

RESULTS

A total of 13,219 patients with sepsis were enrolled in the study; the mean age was 65.1 years, 56.9 % were male, and the 28-day mortality rate was 18.8 %. After adjusting for covariates, the risk of 28-day mortality was elevated by 99% (HR 1.99, 95%CI 1.74-2.28) in the highest quintile of serum osmolality (Q5 >303.21) and by 59% (HR 1.59, 95%CI 1.39-1.83) in the lowest quintile (Q1 ≤285.80), as compared to the reference quintile (Q3 291.38-296.29). The results of the curve fitting showed a U-shaped relationship between serum osmolality and the risk of 28-day mortality, with an inflection point of 286.9 mmol/L.

CONCLUSION

There is a U-shaped relationship between serum osmolality and the 28-day mortality risk in patients with sepsis. Higher or lower serum osmolality is associated with an increased risk of mortality in patients with sepsis. Patients with sepsis have a lower risk of mortality when their osmolality is 285.80-296.29 mmol/L.

Can We Use the Maximum Phonation Time as a Screening of Pulmonary Forced Vital Capacity in Post-COVID-19 Syndrome Patients?

OBJECTIVE

To verify the accuracy of the maximum phonation time of the vowel /a/ (MPT/a/), fricative /s/ (MPT/s/), number counting (MPTC), and number reached in this count (CN) to estimate forced vital capacity (FVC) in patients with post-COVID-19 syndrome.

METHOD

Cross-sectional study involving adult patients, who were admitted to the intensive care unit and referred to the Post-COVID-19 Rehabilitation Outpatient Clinic. Voice function was assessed using a Vocal Handicap Index (VHI) self-assessment questionnaire and MPT tests. To perform the phonatory tests, the patients remained in a standing posture and were instructed to inhale as much air as possible and, during a single exhalation, at usual pitch and loudness, sustain the emission of /a/ and /s/; and in another breath, to perform the ascending numerical count, starting from the number one up to the highest number they could reach. Pulmonary function was assessed by spirometry. The receiver operating characteristic (ROC) curve was plotted, and FVC values lower than the normal limit by Z-score (fifth percentile) were classified as impaired lung function. The predictive values and likelihood ratios were calculated.

RESULTS

A total of 70 patients participated, with 20-30% having a high VHI. Approximately 24% had an FVC impairment and significantly low values of MPT/a/, MPT/s/, MPTC, and CN. The test results showed overall accuracy of 70% and the cutoff points of 9.69, 6.78, 10.60, and 13, respectively, with high sensitivity, predictive negative value and low specificity, predictive positive value, and positive likelihood ratio.

CONCLUSIONS

Our results suggest that the MPT has moderate discriminatory power for FVC impairment, indicating that it is not a reliable indicator of pulmonary function in the population studied. Therefore, in patients with an MPT of less than 10.60 seconds, or a CN lower than 13, other criteria should be added to improve the diagnostic accuracy and support the decision to perform more complex investigations.

The prevelance of multidrug resistance in uropathogens of patients admitted in the intensive care unit of a tertiary care hospital

Urinary tract infections (UTIs) are among the most common bacterial infections, posing significant public health challenges due to increasing antimicrobial resistance (AMR). This study aims to assess the prevalence, demographic characteristics, microbial profile, and antimicrobial resistance patterns in Indian patients with UTIs admitted to intensive care unit. A total of 154 patients with positive UTIs were included in this cross-sectional study. The prevalence data including demographics, microbial isolates, and antimicrobial susceptibility patterns were collected. Additionally, risk factors for multidrug resistance uropathogens were assessed using multivariate analyses. The patient cohort had diverse demographic, with a slight male predominance of 52.6% (n = 81). The most common comorbidities were hypertension 59.1% (n = 91) and diabetes mellitus 54.5% (n = 84). The microbial profile was dominated by gram-negative bacteria, particularly Escherichia coli 26.62% (n = 41) and Klebsiella pneumoniae 17.53% (n = 27). The predominant gram-positive and fungal isolate was Enterococcus faecium 7.14% (n = 11) and Candida spp. 18.83% (n = 29), respectively. Substantial resistance was noted against common antimicrobials, with variations across different pathogens. Gram-negative bacteria, particularly Escherichia coli and Klebsiella pneumoniae, exhibited high MDR rates, emphasizing the challenge of antimicrobial resistance. Multivariate logistic regression identified age groups 50-65 and over 65, and prolonged catheterization as significant risk factors for MDR infections. A significantly high resistance rate among pathogens emphasizes the need for judicious antimicrobial use. Our findings emphasize the necessity of ongoing surveillance and tailored interventions based on local pathogen prevalence and antibiogram data to effectively address the threat of AMR threat for better management of UTI management in ICU settings.

Microbiological features of drowning-associated pneumonia: a systematic review and meta-analysis

BACKGROUND

Drowning-associated pneumonia (DAP) is frequent in drowned patients, and possibly increases mortality. A better understanding of the microorganisms causing DAP could improve the adequacy of empirical antimicrobial therapy. We aimed to describe the pooled prevalence of DAP, the microorganisms involved, and the impact of DAP on drowned patients.

METHODS

Systematic review and meta-analysis of studies published between 01/2000 and 07/2023 reporting on DAP occurrence and microorganisms involved.

RESULTS

Of 309 unique articles screened, 6 were included, involving 688 patients. All were retrospective cohort studies, with a number of patients ranging from 37 to 270. Studies were conducted in Europe (France N = 3 and Netherland N = 1), United States of America (N = 1) and French West Indies (N = 1). Mortality ranged between 18 to 81%. The pooled prevalence of DAP was 39% (95%CI 29-48), similarly following freshwater (pooled prevalence 44%, 95%CI 36-52) or seawater drowning (pooled prevalence 42%, 95%CI 32-53). DAP did not significantly impact mortality (pooled odds ratio 1.43, 95%CI 0.56-3.67) but this estimation was based on two studies only. Respiratory samplings isolated 171 microorganisms, mostly Gram negative (98/171, 57%) and mainly Aeromonas sp. (20/171, 12%). Gram positive microorganisms represented 38/171 (22%) isolates, mainly Staphylococcus aureus (21/171, 12%). Water salinity levels had a limited impact on the distribution of microorganisms, except for Aeromonas sp. who were exclusively found following freshwater drowning (19/106, 18%) and never following seawater drowning (0%) (p = 0.001). No studies reported multidrug-resistant organisms but nearly 30% of the isolated microorganisms were resistant to amoxicillin-clavulanate, the drug that was the most commonly prescribed empirically for DAP.

CONCLUSIONS

DAP are commonly caused by Gram-negative bacteria, especially Aeromonas sp. which is exclusively isolated following freshwater drowning. Empirical antimicrobial therapy should consider covering them, noting than amoxicillin-clavulanate may be inadequate in about one-third of the cases. The impact of DAP on patients' outcome is still unclear.

Effect of mortality prediction models on resource use benchmarking of intensive care units

PURPOSE

Intensive care requires extensive resources. The ICUs' resource use can be compared using standardized resource use ratios (SRURs). We assessed the effect of mortality prediction models on the SRURs.

MATERIALS AND METHODS

We compared SRURs using different mortality prediction models: the recent Finnish Intensive Care Consortium (FICC) model and the SAPS-II model (n = 68,914 admissions). We allocated the resources to severity of illness strata using deciles of predicted mortality. In each risk and year stratum, we calculated the expected resource use per survivor from our modelling approaches using length of ICU stay and Therapeutic Intervention Scoring System (TISS) points.

RESULTS

Resource use per survivor increased from one length of stay (LOS) day and around 50 TISS points in the first decile to 10 LOS-days and 450 TISS in the tenth decile for both risk scoring systems. The FICC model predicted mortality risk accurately whereas the SAPS-II grossly overestimated the risk of death. Despite this, SRURs were practically identical and consistent.

CONCLUSIONS

SRURs provide a robust tool for benchmarking resource use within and between ICUs. SRURs can be used for benchmarking even if recently calibrated risk scores for the specific population are not available.

Characteristics and outcomes of cancer patients admitted to intensive care units in cancer specialized hospitals in China

PURPOSE

Standard intensive care unit (ICU) admission policies and treatment strategies for patients with cancer are still lacking. To depict the current status of admission, characteristics, and outcomes of patients with cancer in the ICU.

METHODS

A multicenter cross-sectional study was performed from May 10, 2021 to July 10, 2021, in the ICU departments of 37 cancer-specialized hospitals in China. Clinical records of all admitted patients aged ≥ 14 years and ICU duration > 24 h with complete data were included. Demographic information, clinical history, severity score at admission, ICU critical condition diagnosis and treatment, ICU and in-hospital outcomes and 90 days survival were also collected. A total of 1455 patients were admitted and stayed for longer than 24 h. The most common primary cancer diagnoses included lung, colorectal, esophageal, and gastric cancer.

RESULTS

Patients with lung cancer were admitted more often because of worsening complications that occurred in the clinical ward. However, other cancer patients may be more likely to be admitted to the ICU because of postoperative care. ICU-admitted patients with lung or esophageal cancer tended to have more ICU complications. Patients with lung cancer had a poor overall survival prognosis, whereas patients with colorectal cancer appeared to benefit the most according to 90 days mortality rates.

CONCLUSION

Patients with lung cancer require more ICU care due to critical complications and the overall survival prognosis is poor. Colorectal cancer may benefit more from ICU management. This information may be considered in ICU admission and treatment strategies.

Development and validation of novel simple prognostic model for predicting mortality in Korean intensive care units using national insurance claims data

Background/Aims

Intensive care unit (ICU) quality is largely determined by the mortality rate. Therefore, we aimed to develop and validate a novel prognostic model for predicting mortality in Korean ICUs, using national insurance claims data.

Methods

Data were obtained from the health insurance claims database maintained by the Health Insurance Review and Assessment Service of South Korea. From patients who underwent the third ICU adequacy evaluation, 42,489 cases were enrolled and randomly divided into the derivation and validation cohorts. Using the models derived from the derivation cohort, we analyzed whether they accurately predicted death in the validation cohort. The models were verified using data from one general and two tertiary hospitals.

Results

Two severity correction models were created from the derivation cohort data, by applying variables selected through statistical analysis, through clinical consensus, and from performing multiple logistic regression analysis. Model 1 included six categorical variables (age, sex, Charlson comorbidity index, ventilator use, hemodialysis or continuous renal replacement therapy, and vasopressor use). Model 2 additionally included presence/absence of ICU specialists and nursing grades. In external validation, the performance of models 1 and 2 for predicting in-hospital and ICU mortality was not inferior to that of pre-existing scoring systems.

Conclusions

The novel and simple models could predict in-hospital and ICU mortality and were not inferior compared to the pre-existing scoring systems.

Lactate-to-albumin ratio: A promising predictor of 28-day all-cause mortality in critically Ill patients with acute ischemic stroke

INTRODUCTION

Numerous diseases have been found to be associated with the lactate-to-albumin ratio (LAR), as confirmed by existing research. This study aims to investigate the relationship between LAR within 24 hours of admission and a 28-day mortality rate in patients manifesting ischemic stroke.

METHODS

This retrospective cohort study utilized data from the Medical Information Mart for Intensive Care IV (MIMIC-IV, version 2.1) database. We included adult patients with acute ischemic stroke (AIS) who were admitted to the intensive care unit. The primary outcome entailed evaluating the ability of LAR to predict death at 28-day of hospital admission in patients with AIS.

RESULTS

A total of 502 patients with ischemic stroke were enrolled in the study, of which 185 (36.9 %) died within 28 days after hospital admission. We identified a linear association between LAR and mortality risk. Compared with the reference group (first LAR tertile), the 28-day mortality was increased in the highest tertile; the fully adjusted HR value was 1.21 (1.08 to 1.40). the Area Under the Curve (AUC) value for LAR was 58.26 % (95 % CI: 53.05 % - 63.46 %), which was higher than that for arterial blood lactate (AUC = 56.88 %) and serum albumin (AUC = 55.29 %) alone. It was not inferior even when compared to SOFA (AUC = 56.28 %). The final subgroup analysis exhibited no significant interaction of LAR with each subgroup (P for interaction: 0.079 - 0.848).

CONCLUSION

In our study, LAR emerged as a promising predictor of all-cause mortality in acute ischemic stroke patients within 28 days of admission.

Factors influencing ultrasound cardiac output monitor waveform quality in patients admitted to the emergency intensive care unit

Objective

The ultrasonic cardiac output monitor (USCOM), an instrument that monitors the evolution of a patient's hemodynamic status and determines the type of shock, has become an important tool for assessing cardiac pathology and predicting changes in disease, but there are some variations in the instrumental findings for different physical conditions of patients. This article examines whether there are differences in the quality of USCOM waveforms measured in different types of critically ill patients based on clinical characteristics and test parameters.

Methods

Baseline data, diagnoses, echocardiograms, ventilation patterns, and USCOM results were retrospectively collected from patients in the emergency intensive care unit. Waveform quality was quantified using the Fremantle score to determine the extent to which age, body mass index (BMI), chronic obstructive pulmonary disease (COPD), respiratory failure, cardiac enlargement, valvular heart disease, and ventilation pattern influenced USCOM waveform quality.

Results

Age, body mass index, chronic obstructive pulmonary disease, respiratory failure, right and left heart enlargement, aortic valve disease (excluding aortic stenosis), and ventilation mode did not have a significant effect on USCOM waveform quality in critically ill patients (P > 0.05).

Conclusions

Various physical conditions of critically ill patients may have limited effect on the quality of the USCOM waveform, potentially rendering USCOM suitable for early assessment of hemodynamic status during ICU admission.

Survivorship After Neurocritical Care: A Scoping Review of Outcomes Beyond Physical Status

Following intensive care unit hospitalization, survivors of acute neurological injury often experience debilitating short-term and long-term impairments. Although the physical/motor impairments experienced by survivors of acute neurological injury have been described extensively, fewer studies have examined cognitive, mental health, health-related quality of life (HRQoL), and employment outcomes. This scoping review describes the publication landscape beyond physical and/or motor sequelae in neurocritical care survivors. Databases were searched for terms related to critical illness, intensive care, and outcomes from January 1970 to March 2022. English-language studies of critically ill adults with a primary neurological diagnosis were included if they reported on at least one outcome of interest: cognition, mental health, HRQoL or employment. Data extraction was performed in duplicate for prespecified variables related to study outcomes. Of 16,036 abstracts screened, 74 citations were identified for inclusion. The studies encompassed seven worldwide regions and eight neurocritical diagnosis categories. Publications reporting outcomes of interest increased from 3 before the year 2000 to 71 after. Follow-up time points included ≤ 1 (n = 15 [20%] citations), 3 (n = 28 [38%]), 6 (n = 28 [38%]), and 12 (n = 21 [28%]) months and 1 to 5 (n = 19 [26%]) and > 5 years (n = 8 [11%]), with 28 (38%) citations evaluating outcomes at multiple time points. Sixty-six assessment tools were used to evaluate the four outcomes of interest: 22 evaluating HRQoL (56 [76%] citations), 21 evaluating cognition (20 [27%] citations), 21 evaluating mental health (18 [24%] citations), and 2 evaluating employment (9 [12%] citations). This scoping review aimed to better understand the literature landscape regarding nonphysical outcomes in survivors of neurocritical care. Although a rising number of publications highlight growing awareness, future efforts are needed to improve study consistency and comparability and characterize outcomes in a disease-specific manner, including outlining of a minimum core outcomes set and associated assessment tools.

Application of neutrophil-to-lymphocyte-to-monocyte ratio in predicting mortality risk in adult patients with septic shock: A retrospective cohort study conducted at a single center

Background

Sepsis is a life-threatening condition characterized by an aberrant host response to infection, resulting in multi-organ dysfunction. The application of currently available prognostic indicators for sepsis in primary hospitals is challenging. In this retrospective study, we established a novel index, the neutrophil-to-lymphocyte-to-monocyte ratio (NLMR), based on routine blood examination upon admission, and assessed its prognostic value for early mortality risk in adult patients with septic shock.

Methods

This study included clinical data from adult patients with septic shock who were admitted to the hospital between January 1, 2018, and December 31, 2022. Training and validation sets were constructed, and patients were categorized into "survival" and "death" groups based on their survival status within the 28-day hospitalization period. Baseline data, including demographic characteristics and comorbidities, and laboratory results, such as complete blood count parameters, were collected for analysis. The Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation II (APACHE II) scores were documented.The NLMR was determined through the utilization of multivariate binary logistic regression analysis, leading to the development of a risk model aimed at predicting early mortality in adult patients suffering from septic shock.

Results

Overall, 112 adult patients with septic shock were enrolled in this study, with 84 and 28 patients in the training and validation sets, respectively. Multivariate binary logistic analysis revealed that the neutrophil, lymphocyte, and monocyte counts independently contributed to the mortality risk (odds ratios = 1.22, 0.08, and 0.16, respectively). The NLMR demonstrated an area under the receiver operating characteristic curve (ROC-AUC) of 0.83 for internal validation in the training set and 0.97 for external validation in the validation set. Both overall model quality values were significantly high at 0.74 and 0.91, respectively (P < 0.05). NLMR exhibited a higher ROC-AUC value of 0.88 than quick SOFA (ROC-AUC = 0.71), SOFA (ROC-AUC = 0.83), and APACHE II (ROC-AUC = 0.78).

Conclusion

NLMR may be a potential marker for predicting the risk of early death in adult patients with septic shock, warranting further exploration and verification.

Cytokine expression and mortality risk among COVID-19 hospitalized patients over 60 years of age in a referral hospital in Cartagena, Colombia

Background

Cytokine dysregulation in COVID-19 patients aged over 60 has been associated to adverse outcomes. While serum levels have been studied, cellular expression, particularly in Afro-Colombians, remains understudied. This research aims to describe cytokine expression in peripheral blood leukocytes and its association with adverse outcomes in COVID-19 patients aged over 60 at Cartagena's referral hospital.

Methods

A cohort study was conducted, encompassing severe and critical cases of COVID-19 between November 2021 and February 2022. At baseline, the cellular expression level of cytokines IL-2, IL-4, IL-6, IL-10, TNF-α and IFN-γ was assessed using flow cytometry. Additionally, various biochemical, hematological, and coagulation markers were evaluated. The main outcome was time to death.

Results

Among the 50 enrolled participants, the median age was 76.5 years, 60% were male, 60% were admitted to the ICU, and 42% died. Lactate dehydrogenase and hemoglobin were the only markers that differed between fatal and surviving cases. Regarding cytokines, the level of IL-6 expression was associated with an increased risk of death. Specifically, a one percent increase in the expression was associated with a 7.3% increase in the risk of death. Stratifying the analysis by death and ICU admission, the median expression level remained high in fatal cases who were admitted to the ICU.

Conclusions

Our findings revealed a significant association between high cellular expression levels of IL-6 and an increased risk of mortality. These results provide valuable scientific insights that could inform the prioritization of case management, providing especially advantageous for the vulnerable Afro-Colombian group.

Clinical outcomes of clostridioides difficile infection in the very elderly

BACKGROUND

Clostridioides difficile infection (CDI) causes considerable morbidity, mortality, and economic cost. Advanced age, prolonged stay in healthcare facility, and exposure to antibiotics are leading risk factors for CDI. Data on CDI clinical outcomes in the very elderly patients are limited.

METHODS

A retrospective cohort study of patients hospitalized between 2016 and 2018 with CDI. We evaluated demographic clinical and laboratory parameters. Major clinical outcomes were evaluated including duration of hospital stay, admission to intensive care unit (ICU), in-hospital mortality, 30 days post-discharge mortality, and readmission/mortality composite outcome. We compared patients aged up to 80 years (elderly) to those of 80 years old or more (very elderly).

RESULTS

Of 196 patients included in the study, 112 (57%) were very elderly with a mean age of 86 versus 67 years in the elderly group. The duration of hospital stays, and intensive care unit admission frequency were significantly reduced in the very elderly (13 vs. 22 days p = 0.003 and 1.8% vs. 10.7% p = 0.01, respectively). No significant difference was found in the frequencies of in-hospital and in 30 days post-discharge mortality.

CONCLUSIONS

In our cohort, the duration of hospital stay seemed to be shorter in the very elderly with no increase of in-hospital and post-discharge mortality. Although admitted less frequently to ICU, the in-hospital survival of the very elderly was not adversely affected compared to the elderly, suggesting that very advanced age per se should not be a major factor to consider in determining the prognosis of a patient with CDI.

Association between serum calcium and prognosis in patients with acute ischemic stroke in ICU: analysis of the MIMIC-IV database

BACKGROUND

While serum Ca has proven to be a reliable predictor of mortality across various diseases, its connection with the clinical outcomes of ischemic stroke (IS) remains inconclusive. Our research aimed to explore the relationships between serum total Ca (tCa) and serum ionized Ca (iCa) and mortality among acute IS (AIS) patients.

METHODS

We gathered data from 1773 AIS patients in the Medical Information Mart for Intensive Care Database IV, including baseline demographic data, comorbidities, vital signs, laboratory-based data, and scoring systems. Endpoints for the study encompassed 30-d, 90-d, and 365-d all-cause mortalities. Employing restricted cubic spline Cox regression, we explored potential nonlinear relationships between admission serum iCa and tCa levels and mortality. Participants were categorized into four groups based on serum iCa and tCa quartiles. Multivariable Cox regression analysis was then conducted to evaluate the independent association of iCa and tCa quartiles with all-cause mortality.

RESULTS

The restricted cubic spline revealed a U-shaped association between iCa and 30-d and 90-d mortality (P<0.05), while the relationship between iCa and 365-d mortality was linear (P<0.05). After adjusting for confounders, multivariable Cox analysis demonstrated that the lowest serum iCa level quartile was independently associated with increased risks of 30-d, 90-d, and 365-d mortality. Similarly, the highest serum iCa level quartile was independently associated with increased risks of 30-d and 90-d mortality, but not 365-d mortality. Notably, serum tCa level showed no association with increased risks of 30-d, 90-d, and 365-d mortality.

CONCLUSIONS

Our findings suggest that serum iCa, rather than tCa, is linked to ischemic stroke prognosis. Both high and low serum iCa levels are associated with poor short-term prognosis, while only low serum iCa is associated with poor long-term prognosis in AIS patients.

Factors influencing decision-making processes for intensive care therapy goals: A systematic integrative review

BACKGROUND

Delivering intensive care therapies concordant with patients' values and preferences is considered gold standard care. To achieve this, healthcare professionals must better understand decision-making processes and factors influencing them.

AIM

The aim of this study was to explore factors influencing decision-making processes about implementing and limiting intensive care therapies.

DESIGN

Systematic integrative review, synthesising quantitative, qualitative, and mixed-methods studies.

METHODS

Five databases were searched (Medline, The Cochrane central register of controlled trials, Embase, PsycINFO, and CINAHL plus) for peer-reviewed, primary research published in English from 2010 to Oct 2022. Quantitative, qualitative, or mixed-methods studies focussing on intensive care decision-making were included for appraisal. Full-text review and quality screening included the Critical Appraisal Skills Program tool for qualitative and mixed methods and the Medical Education Research Quality Instrument for quantitative studies. Papers were reviewed by two authors independently, and a third author resolved disagreements. The primary author developed a thematic coding framework and performed coding and pattern identification using NVivo, with regular group discussions.

RESULTS

Of the 83 studies, 44 were qualitative, 32 quantitative, and seven mixed-methods studies. Seven key themes were identified: what the decision is about; who is making the decision; characteristics of the decision-maker; factors influencing medical prognostication; clinician-patient/surrogate communication; factors affecting decisional concordance; and how interactions affect decisional concordance. Substantial thematic overlaps existed. The most reported decision was whether to withhold therapies, and the most common decision-maker was the clinician. Whether a treatment recommendation was concordant was influenced by multiple factors including institutional cultures and clinician continuity.

CONCLUSION

Decision-making relating to intensive care unit therapy goals is complicated. The current review identifies that breadth of decision-makers, and the complexity of intersecting factors has not previously been incorporated into interventions or considered within a single review. Its findings provide a basis for future research and training to improve decisional concordance between clinicians and patients/surrogates with regards to intensive care unit therapies.

Surveillance of catheter-associated bloodstream infections: development and validation of a fully automated algorithm

BACKGROUND

Most surveillance systems for catheter-related bloodstream infections (CRBSI) and central line-associated bloodstream infections (CLABSI) are based on manual chart review. Our objective was to validate a fully automated algorithm for CRBSI and CLABSI surveillance in intensive care units (ICU).

METHODS

We developed a fully automated algorithm to detect CRBSI, CLABSI and ICU-onset bloodstream infections (ICU-BSI) in patients admitted to the ICU of a tertiary care hospital in Switzerland. The parameters included in the algorithm were based on a recently performed systematic review. Structured data on demographics, administrative data, central vascular catheter and microbiological results (blood cultures and other clinical cultures) obtained from the hospital's data warehouse were processed by the algorithm. Validation for CRBSI was performed by comparing results with prospective manual BSI surveillance data over a 6-year period. CLABSI were retrospectively assessed over a 2-year period.

RESULTS

From January 2016 to December 2021, 854 positive blood cultures were identified in 346 ICU patients. The median age was 61.7 years [IQR 50-70]; 205 (24%) positive samples were collected from female patients. The algorithm detected 5 CRBSI, 109 CLABSI and 280 ICU-BSI. The overall CRBSI and CLABSI incidence rates determined by automated surveillance for the period 2016 to 2021 were 0.18/1000 catheter-days (95% CI 0.06-0.41) and 3.86/1000 catheter days (95% CI: 3.17-4.65). The sensitivity, specificity, positive predictive and negative predictive values of the algorithm for CRBSI, were 83% (95% CI 43.7-96.9), 100% (95% CI 99.5-100), 100% (95% CI 56.5-100), and 99.9% (95% CI 99.2-100), respectively. One CRBSI was misclassified as an ICU-BSI by the algorithm because the same bacterium was identified in the blood culture and in a lower respiratory tract specimen. Manual review of CLABSI from January 2020 to December 2021 (n = 51) did not identify any errors in the algorithm.

CONCLUSIONS

A fully automated algorithm for CRBSI and CLABSI detection in critically-ill patients using only structured data provided valid results. The next step will be to assess the feasibility and external validity of implementing it in several hospitals with different electronic health record systems.

The Effect of Pulmonary Hypertension on Mortality and Intensive Care Unit Admission in Patients With SARS-CoV-2 Infection: A Systematic Review and Meta-Analysis

AIM

Severe COVID-19 can cause acute respiratory distress syndrome, hypoxia, systemic complications, and increased mortality. Pulmonary hypertension (PH) is a major global health issue associated with worsening symptoms and increased mortality. This systematic review aimed to assess the influence of PH onset among COVID-19 patients on all-cause mortality and intensive care unit (ICU) admission.

METHOD

An unrestricted search of five databases up to June 2022 was undertaken. Pulmonary hypertension was assessed using transthoracic echocardiogram, computed tomography, or right heart catheterisation. After duplicate screening, data extraction, and risk of bias assessment, random effects meta-analyses of odds ratios (OR) and their 95% confidence intervals (CI) were performed for all-cause mortality and ICU admission.

RESULTS

From the 26 studies that were included (3,373 patients, 76% males, median age 62.6 years), PH in COVID-19 patients was significantly associated with higher odds for all-cause mortality (26 studies; OR 3.89; 95% CI 2.85-5.31; p<0.001) and higher odds for ICU admission (six studies; OR 2.50; 95% CI 1.69-3.70; p<0.001). Meta-regression/subgroup analyses by patient demographics, comorbidities, or therapeutic regimens, and sensitivity analyses did not find any differences.

CONCLUSION

Evidence from observational studies indicates that PH in COVID-19 patients is associated with increased odds of mortality and ICU admission.

Serum Lactate Is an Indicator for Short-Term and Long-Term Mortality in Patients with Acute Pancreatitis

BACKGROUND

Serum lactate, as a single and an easily available biomarker, has been applied in various diseases.

AIMS

In this study, we aimed to explore the predictive value of serum lactate for short-term and long-term prognosis in acute pancreatitis (AP) admitted in intensive care unit (ICU) based on a large-scale database.

METHODS

AP patients admitted in ICU in the MIMIC-IV database were included. We constructed three different models to investigate the relationships between serum lactate and clinical outcomes, including 30-day, 180-day and 1-year mortality in AP. Smooth fitting curves were performed for intuitively demonstrating the relationship between serum lactate and different outcomes in AP by the generalized additive model.

RESULTS

A total of 895 AP patients admitted in ICU were included. The mortalities of 30 days, 180 days, and 1 year were 12.63% (n = 113), 16.87% (n = 151), and 17.54% (n = 157). In model B, with 1-mmol/L increment in serum lactate, the values of OR in 30-day, 180-day and 1-year mortality were 1.20 (95%CI 1.04-1.37, P = 0.0094), 1.21 (95%CI 1.06-1.37, P = 0.0039), and 1.21 (95%CI 1.07-1.38, P = 0.0035). The AUCs of serum lactate for predicting 30-day, 180-day, and 1-year mortality in AP were 0.688 (95%CI 0.633-0.743), 0.655 (95%CI 0.605-0.705), and 0.653 (95%CI 0.603-0.701), respectively. The cut-off value of serum lactate predicting 30-day, 180-day and 1-year mortality in AP was 2.4 mmol/L.

CONCLUSION

Serum lactate could be an indicator for short-term and long-term mortality in patients with AP admitted in ICU.

Red Blood Cell Distribution Width as a Risk Factor for 30/90-Day Mortality in Patients with Gastrointestinal Bleeding: Analysis of the MIMIC-IV Database

PURPOSE

The purpose of this research was to assess the relationship between red blood cell distribution width (RDW) and mortality in patients with gastrointestinal (GIB) bleeding in the intensive care unit (ICU).

METHODS

The information of the participants was obtained from the Medical Information Mart for Intensive Care IV database. The main outcome of this research was 30/90-day mortality, with ICU mortality and in-hospital mortality as secondary outcomes.

RESULTS

This research included 2924 patients with gastrointestinal bleeding in total. Patients with higher RDW had considerably higher 30/90-day and in-hospital mortality rates, as well as longer hospital stays and ICU stays. According to the Kaplan-Meier analysis, the 30/90-day mortality rate was remarkably higher among participants in the higher RDW group (P < 0.0001). In the adjusted multivariate Cox regression analysis, for 30-day mortality, the HR (95% CI) was 1.75 (1.37, 2.24) in comparison to Q1 in the reference group (P < 0.001). Analyses of 90-day mortality and in-hospital mortality both showed the same results. In the subgroup analysis, gender, myocardial infarction, chronic pulmonary disease, cerebrovascular disease and renal disease had no significant effect on the correlation between RDW values and mortality (all P > 0.05). The area under the ROC curve for RDW was 0.599 (95% CI 0.581-0.617) and 0.606 (95% CI 0.588-0.624) in 30/90-day ICU mortality.

CONCLUSION

The current research showed that RDW could be utilized as an independent indicator of short-term mortality in critically ill GIB patients at 30 and 90 days of hospital admission.

Machine learning in the prediction and detection of new-onset atrial fibrillation in ICU: a systematic review

Atrial fibrillation (AF) stands as the predominant arrhythmia observed in ICU patients. Nevertheless, the absence of a swift and precise method for prediction and detection poses a challenge. This study aims to provide a comprehensive literature review on the application of machine learning (ML) algorithms for predicting and detecting new-onset atrial fibrillation (NOAF) in ICU-treated patients. Following the PRISMA recommendations, this systematic review outlines ML models employed in the prediction and detection of NOAF in ICU patients and compares the ML-based approach with clinical-based methods. Inclusion criteria comprised randomized controlled trials (RCTs), observational studies, cohort studies, and case-control studies. A total of five articles published between November 2020 and April 2023 were identified and reviewed to extract the algorithms and performance metrics. Reviewed studies sourced 108,724 ICU admission records form databases, e.g., MIMIC. Eight prediction and detection methods were examined. Notably, CatBoost exhibited superior performance in NOAF prediction, while the support vector machine excelled in NOAF detection. Machine learning algorithms emerge as promising tools for predicting and detecting NOAF in ICU patients. The incorporation of these algorithms in clinical practice has the potential to enhance decision-making and the overall management of NOAF in ICU settings.

Mortality, Functional Status, and Quality of Life after 5 Years of Patients Admitted to Critical Care for Spontaneous Intracerebral Hemorrhage

BACKGROUND

The objective of this study was to assess long-term outcome in patients with spontaneous intracerebral hemorrhage admitted to the intensive care unit.

METHODS

Mortality and Glasgow Outcome Scale, Barthel Index, and 5-level EQ-5D version (EQ-5D-5L) scores were analyzed in a multicenter cohort study of three Spanish hospitals (336 patients). Mortality was also analyzed in the Medical Information Mart for Intensive Care III (MIMIC-III) database.

RESULTS

The median (25th percentile-75th percentile) age was 62 (50-70) years, the median Glasgow Coma Score was 7 (4-11) points, and the median Acute Physiology and Chronic Health disease Classification System II (APACHE-II) score was 21 (15-26) points. Hospital mortality was 54.17%, mortality at 90 days was 56%, mortality at 1 year was 59.2%, and mortality at 5 years was 66.4%. In the Glasgow Outcome Scale, a normal or disabled self-sufficient situation was recorded in 21.5% of patients at 6 months, in 25.5% of patients after 1 year, and in 22.1% of patients after 5 years of follow-up (4.5% missing). The Barthel Index score of survivors improved over time: 50 (25-80) points at 6 months, 70 (35-95) points at 1 year, and 90 (40-100) points at 5 years (p < 0.001). Quality of life evaluated with the EQ-5D-5L at 1 year and 5 years indicated that greater than 50% of patients had no problems or slight problems in all items (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression). In the MIMIC-III study (N = 1354), hospital mortality was 31.83% and was 40.5% at 90 days and 56.2% after 5 years.

CONCLUSIONS

In patients admitted to the intensive care unit with a diagnosis of nontraumatic intracerebral hemorrhage, hospital mortality up to 90 days after admission is very high. Between 90 days and 5 years after admission, mortality is not high. A large percentage of survivors presented a significant deficit in quality of life and functional status, although with progressive improvement over time. Five years after the hemorrhagic stroke, a survival of 30% was observed, with a good functional status seen in 20% of patients who had been admitted to the hospital.

Evaluation of Post-thrombolytic Events to Determine Appropriate ICU Monitoring Duration for Patients with Ischemic Stroke

BACKGROUND

Standard treatment for eligible patients presenting with acute ischemic stroke (AIS) is thrombolysis with tissue plasminogen activators alteplase or tenecteplase. Current guidelines recommend monitoring patients in an intensive care unit (ICU) for 24 h after thrombolytic therapy. However, recent studies have questioned the need for prolonged ICU monitoring. This retrospective cohort study aims to identify potential candidates for early transition to a lower level of care by assessing risk factors for neurological deterioration, symptomatic intracranial hemorrhage (sICH), or need for ICU intervention within 24 h post-thrombolysis.

METHODS

This retrospective cohort study included adult patients 18 years and older with AIS who received thrombolysis. Patients were excluded if they were transferred to another facility, if they were transitioned to comfort care or hospice care within 24 h, or if they lacked imaging and National Institutes of Health Stroke Scale (NIHSS) score data. The primary end point was incidence of sICH between 0-12 and 12-24 h. Secondary end points included the need for ICU intervention and rates of neurological deterioration.

RESULTS

The analysis included 204 patients who received the full dose of alteplase. Among them, ten patients (4.9%) developed sICH, with the majority (n = 7) occurring within 12 h post-thrombolysis. Sixty-two patients required ICU interventions within 12 h compared with four patients after 12 h. Twenty-four patients had neurological deterioration within 12 h, and seven patients had neurological deterioration after 12 h. Multivariable analysis identified mechanical thrombectomy and increased blood pressure at presentation as predictors of ICU need beyond 12 h post-thrombolysis.

CONCLUSIONS

Our study demonstrates that sICH, neurological deterioration, and need for ICU intervention rarely occur beyond 12 h after thrombolytic administration. Patients presenting with blood pressures < 140/90 mm Hg, NIHSS scores < 10, and not undergoing mechanical thrombectomy may be best candidates for early de-escalation. Larger prospective studies are needed to more fully evaluate the safety, feasibility, and financial impact of early transition out of the ICU.

Blood urea nitrogen to serum albumin ratio as a new prognostic indicator in type 2 diabetes mellitus patients with chronic kidney disease

Chronic kidney disease (CKD) is often a common comorbidity in critically ill patients with type 2 diabetes mellitus (T2DM). This study explored the relationship between blood urea nitrogen to serum albumin ratio (BAR) and mortality in T2DM patients with CKD in intensive care unit (ICU). Patients were recruited from the Medical Information Mart database, retrospectively. The primary and secondary outcomes were 90-day mortality, the length of ICU stay, hospital mortality and 30-day mortality, respectively. Cox regression model and Kaplan-Meier survival curve were performed to explore the association between BAR and 90-day mortality. Subgroup analyses were performed to determine the consistency of this association. A total of 1920 patients were enrolled and divided into the three groups (BAR < 9.2, 9.2 ≤ BAR ≤ 21.3 and BAR > 21.3). The length of ICU stay, 30-day mortality, and 90-day mortality in the BAR > 21.3 group were significantly higher than other groups. In Cox regression analysis showed that high BAR level was significantly associated with increased greater risk of 90-day mortality. The adjusted HR (95%CIs) for the model 1, model 2, and model 3 were 1.768 (1.409-2.218), 1.934, (1.489-2.511), and 1.864, (1.399-2.487), respectively. Subgroup analysis also showed the consistency of results. The Kaplan-Meier survival curve analysis revealed similar results as well that BAR > 21.3 had lower 90-day survival rate. High BAR was significantly associated with increased risk of 90-day mortality. BAR could be a simple and useful prognostic tool in T2DM patients with CKD in ICU.

Frailty in severe COVID-19 survivors after ICU admission. A prospective and multicenter study in Mexico

OBJECTIVE

To analyze the presence of frailty in survivors of severe COVID-19 admitted in the Intensive Care Unit (ICU) and followed six months after discharge.

DESIGN

An observational, prospective and multicenter, nation-wide study.

SETTING

Eight adult ICU across eight academic acute care hospitals in Mexico.

PATIENTS

All consecutive adult COVID-19 patients admitted in the ICU with acute respiratory failure between March 8, 2020 to February 28, 2021 were included. Frailty was defined according to the FRAIL scale, and was obtained at ICU admission and 6-month after hospital discharge.

INTERVENTIONS

None.

MAIN VARIABLES OF INTEREST

The primary endpoint was the frailty status 6-months after discharge. A regression model was used to evaluate the predictors during ICU stay associated with frailty.

RESULTS

196 ICU survivors were evaluated for basal frailty at ICU admission and were included in this analysis. After 6-months from discharge, 164 patients were evaluated for frailty: 40 patients (20.4%) were classified as non-frail, 67 patients (34.2%) as pre-frail and 57 patients (29.1%) as frail. After adjustment, the need of invasive mechanical ventilation was the only factor independently associated with frailty at 6 month follow-up (Odds Ratio [OR] 3.70, 95% confidence interval 1.40-9.81, P = .008).

CONCLUSIONS

Deterioration of frailty was reported frequently among ICU survivors with severe COVID-19 at 6-months. The need of invasive mechanical ventilation in ICU survivors was the only predictor independently associated with frailty.

Arm cycle ergometry in critically ill patients: A systematic review

BACKGROUND

Intensive care unit (ICU) survivors face functional limitations due to ICU-acquired weakness. Arm cycle ergometry (ACE) introduced in the ICU may improve physical function. To our knowledge, there is limited evidence on the effectiveness of ACE and physical function outcomes in critically ill patients.

OBJECTIVE

The objective of this systematic review was to examine the impact of ICU-based ACE on physical function, safety, and other clinical outcomes.

REVIEW METHOD USED

Systematic Review.

DATA SOURCES

A search of seven databases was conducted from the inception to January 1, 2023: Medline Ahead of Print, Ovid MEDLINE(R), Allied and Complementary Medicine Database (AMED), Embase, Cochrane Central, Physiotherapy Evidence Database, and Cumulative Index to Nursing and Allied Health Literature (CINAHL).

REVIEW METHODS

We included two arm studies of critically ill adults admitted to the ICU who received ACE and any comparator for our primary outcome, physical function. Our secondary outcomes included severe events. We included safety studies with or without a comparator group. Screening, data abstraction, and risk-of-bias assessments were completed independently, in duplicate. We used the Grading of Recommendations, Assessment, Development, and Evaluation approach to assess the overall certainty of evidence.

RESULTS

We screened 651 citations and included eight studies that enrolled 183 patients. Due to heterogeneity, meta-analysis was not performed. For our primary outcome, one randomised controlled trial found significant improvements in physical function, measured by the Barthel Index with ACE, whereas a nonrandomised study showed no difference. Out of the six studies reporting safety, none reported any severe safety events. The overall certainty of evidence was very low.

CONCLUSION

ACE initiated in the ICU is a likely safe intervention. Based on the limited ACE studies and heterogeneity between studies, further research with more rigorous studies evaluating important outcomes for patients is needed.

Impact of recipient and donor pretransplantation body mass index on early postosperative complications after lung transplantation

BACKGROUND

Prior studies have assessed the impact of the pretransplantation recipient body mass index (BMI) on patient outcomes after lung transplantation (LT), but they have not specifically addressed early postoperative complications. Moreover, the impact of donor BMI on these complications has not been evaluated. The first aim of this study was to assess complications during hospitalization in the ICU after LT according to donor and recipient pretransplantation BMI.

METHODS

All the recipients who underwent LT at Bichat Claude Bernard Hospital, Paris, between January 2016 and August 2022 were included in this observational retrospective monocentric study. Postoperative complications were analyzed according to recipient and donor BMIs. Univariate and multivariate analyses were also performed. The 90-day and one-year survival rates were studied. P < 0.05 was considered to indicate statistical significance. The Paris-North Hospitals Institutional Review Board approved the study.

RESULTS

A total of 304 recipients were analyzed. Being underweight was observed in 41 (13%) recipients, a normal weight in 130 (43%) recipients, and being overweight/obese in 133 (44%) recipients. ECMO support during surgery was significantly more common in the overweight/obese group (p = 0.021), as were respiratory complications (primary graft dysfunction (PGD) (p = 0.006), grade 3 PDG (p = 0.018), neuroblocking agent administration (p = 0.008), prone positioning (p = 0.007)), and KDIGO 3 acute kidney injury (p = 0.036). However, pretransplantation overweight/obese status was not an independent risk factor for 90-day mortality. An overweight or obese donor was associated with a decreased PaO2/FiO2 ratio before organ donation (p < 0.001), without affecting morbidity or mortality after LT.

CONCLUSION

Pretransplantation overweight/obesity in recipients is strongly associated with respiratory and renal complications during hospitalization in the ICU after LT.

Assessing the impact of real-time random safety audits through full propensity score matching on reliable data from the clinical information system

BACKGROUND

Evidence-based care processes are not always applied at the bedside in critically ill patients. Numerous studies have assessed the impact of checklists and related strategies on the process of care and patient outcomes. We aimed to evaluate the effects of real-time random safety audits on process-of-care and outcome variables in critical care patients.

METHODS

This prospective study used data from the clinical information system to evaluate the impact of real-time random safety audits targeting 32 safety measures in two intensive care units during a 9-month period. We compared endpoints between patients attended with safety audits and those not attended with safety audits. The primary endpoint was mortality, measured by Cox hazard regression after full propensity-score matching. Secondary endpoints were the impact on adherence to process-of-care measures and on quality indicators.

RESULTS

We included 871 patients; 228 of these were attended in ≥ 1 real-time random safety audits. Safety audits were carried out on 390 patient-days; most improvements in the process of care were observed in safety measures related to mechanical ventilation, renal function and therapies, nutrition, and clinical information system. Although the group of patients attended in safety audits had more severe disease at ICU admission [APACHE II score 21 (16-27) vs. 20 (15-25), p = 0.023]; included a higher proportion of surgical patients [37.3 % vs. 26.4 %, p = 0.003] and a higher proportion of mechanically ventilated patients [72.8 % vs. 40.3 %, p < 0.001]; averaged more days on mechanical ventilation, central venous catheter, and urinary catheter; and had a longer ICU stay [12.5 (5.5-23.3) vs. 2.9 (1.7-5.9), p < 0.001], ICU mortality did not differ significantly between groups (19.3 % vs. 18.8 % in the group without safety rounds). After full propensity-score matching, Cox hazard regression analysis showed real-time random safety audits were associated with a lower risk of mortality throughout the ICU stay (HR 0.31; 95 %CI 0.20-0.47).

CONCLUSIONS

Real-time random safety audits are associated with a reduction in the risk of ICU mortality. Exploiting data from the clinical information system is useful in assessing the impact of them on the care process, quality indicators, and mortality.

Multimodal Prediction of 3- and 12-Month Outcomes in ICU Patients with Acute Disorders of Consciousness

BACKGROUND

In intensive care unit (ICU) patients with coma and other disorders of consciousness (DoC), outcome prediction is key to decision-making regarding prognostication, neurorehabilitation, and management of family expectations. Current prediction algorithms are largely based on chronic DoC, whereas multimodal data from acute DoC are scarce. Therefore, the Consciousness in Neurocritical Care Cohort Study Using Electroencephalography and Functional Magnetic Resonance Imaging (i.e. CONNECT-ME; ClinicalTrials.gov identifier: NCT02644265) investigates ICU patients with acute DoC due to traumatic and nontraumatic brain injuries, using electroencephalography (EEG) (resting-state and passive paradigms), functional magnetic resonance imaging (fMRI) (resting-state) and systematic clinical examinations.

METHODS

We previously presented results for a subset of patients (n = 87) concerning prediction of consciousness levels in the ICU. Now we report 3- and 12-month outcomes in an extended cohort (n = 123). Favorable outcome was defined as a modified Rankin Scale score ≤ 3, a cerebral performance category score ≤ 2, and a Glasgow Outcome Scale Extended score ≥ 4. EEG features included visual grading, automated spectral categorization, and support vector machine consciousness classifier. fMRI features included functional connectivity measures from six resting-state networks. Random forest and support vector machine were applied to EEG and fMRI features to predict outcomes. Here, random forest results are presented as areas under the curve (AUC) of receiver operating characteristic curves or accuracy. Cox proportional regression with in-hospital death as a competing risk was used to assess independent clinical predictors of time to favorable outcome.

RESULTS

Between April 2016 and July 2021, we enrolled 123 patients (mean age 51 years, 42% women). Of 82 (66%) ICU survivors, 3- and 12-month outcomes were available for 79 (96%) and 77 (94%), respectively. EEG features predicted both 3-month (AUC 0.79 [95% confidence interval (CI) 0.77-0.82]) and 12-month (AUC 0.74 [95% CI 0.71-0.77]) outcomes. fMRI features appeared to predict 3-month outcome (accuracy 0.69-0.78) both alone and when combined with some EEG features (accuracies 0.73-0.84) but not 12-month outcome (larger sample sizes needed). Independent clinical predictors of time to favorable outcome were younger age (hazard ratio [HR] 1.04 [95% CI 1.02-1.06]), traumatic brain injury (HR 1.94 [95% CI 1.04-3.61]), command-following abilities at admission (HR 2.70 [95% CI 1.40-5.23]), initial brain imaging without severe pathological findings (HR 2.42 [95% CI 1.12-5.22]), improving consciousness in the ICU (HR 5.76 [95% CI 2.41-15.51]), and favorable visual-graded EEG (HR 2.47 [95% CI 1.46-4.19]).

CONCLUSIONS

Our results indicate that EEG and fMRI features and readily available clinical data predict short-term outcome of patients with acute DoC and that EEG also predicts 12-month outcome after ICU discharge.

Invasive Fungal Diseases in Adult Patients in Intensive Care Unit (FUNDICU): 2024 consensus definitions from ESGCIP, EFISG, ESICM, ECMM, MSGERC, ISAC, and ISHAM

PURPOSE

The aim of this document was to develop standardized research definitions of invasive fungal diseases (IFD) in non-neutropenic, adult patients without classical host factors for IFD, admitted to intensive care units (ICUs).

METHODS

After a systematic assessment of the diagnostic performance for IFD in the target population of already existing definitions and laboratory tests, consensus definitions were developed by a panel of experts using the RAND/UCLA appropriateness method.

RESULTS

Standardized research definitions were developed for proven invasive candidiasis, probable deep-seated candidiasis, proven invasive aspergillosis, probable invasive pulmonary aspergillosis, and probable tracheobronchial aspergillosis. The limited evidence on the performance of existing definitions and laboratory tests for the diagnosis of IFD other than candidiasis and aspergillosis precluded the development of dedicated definitions, at least pending further data. The standardized definitions provided in the present document are aimed to speed-up the design, and increase the feasibility, of future comparative research studies.

Anticoagulation with argatroban using hemoclot™ targets is safe and effective in CARDS patients receiving venovenous extracorporeal membrane oxygenation: An exploratory bi-centric cohort study

Direct thrombin inhibitors, including argatroban, are increasingly used for anticoagulation during venovenous extracorporeal membrane oxygenation (VV ECMO). In many centers activated partial thromboplastin time (aPTT) is used for monitoring, but it can be affected by several confounders. The aim of this study was to evaluate the safety and efficacy of anticoagulation with argatroban titrated according to diluted thrombin time targets (hemoclot™ assay) compared to anti-Xa guided anticoagulation with unfractionated heparin (UFH).

METHODS

This cohort study included adults at two tertiary care centers who required VV ECMO for severe COVID-19-related acute respiratory distress syndrome (CARDS). Patients received center-dependent argatroban or UFH for anticoagulation during ECMO. Argatroban was guided following a hemoclot™ target range of 0.4-0.6 μg/ml. UFH was guided by anti-factor Xa (antiXa) levels (0.2-0.3 IU/ml). The primary outcome was safety of argatroban compared to UFH, assessed by time to first clinically relevant bleeding event or death during ECMO. Secondary outcomes included efficacy (time to thromboembolism) and feasibility (proportion of anticoagulation targets within range).

RESULTS

From 2019 to 2021 57 patients were included in the study with 27 patients (47 %) receiving argatroban and 30 patients (53 %) receiving UFH. The time to the first clinically relevant bleeding or death during ECMO was similar between groups (HR (argatroban vs. UFH): 1.012, 95 % CI 0.44-2.35, p = 0.978). Argatroban was associated with a decreased risk for thromboembolism compared to UFH (HR 0.494 (95 % CI 0.26-0.95; p = 0.034)). The overall proportion of anticoagulation within target ranges was not different between groups (46 % (23-54 %) vs. 46 % (37 %-57 %), p = 0.45).

CONCLUSION

Anticoagulation with argatroban according to hemoclot™ targets (0.4-0.6 μg/ml) compared to antiXa guided UFH (0.2-0.3 IU/ml) is safe and may prolong thromboembolism-free time in patients with severe ARDS requiring VV ECMO.

Cognitive impairment in intensive care unit patients: A qualitative exploration through observations and interviews

OBJECTIVES

Many patients experience cognitive impairments while being admitted to an intensive care unit due to critical illness affecting their well-being and rehabilitation. Little is known about how patients experience cognitive impairments. This study aimed to explore patients' and relatives' experiences of patients' cognitive impairments while in the intensive care unit.

RESEARCH METHODOLOGY

A multi-centre qualitative study, inspired by Ricoeur's phenomenological-hermeneutic approach, was conducted at four intensive care units at two hospitals in Denmark. Data collection encompassed participant observation and semi-structured single or dyadic interviews with 20 patients and 15 relatives, conducted in the intensive care units. The Consolidated Criteria for Reporting Qualitative Research checklist was used.

FINDINGS

Four themes emerged during the analysis: 'Having a hazy memory and a foggy brain', 'Frustrations due to difficulties in speaking', 'An altered sense of self' and 'A feeling of disconnect between body and mind'. In the intensive care unit, patients experienced multiple cognitive impairments across several cognitive domains, significantly affecting their overall well-being.

CONCLUSIONS

The findings provided a nuanced exploration of how patients in the intensive care unit grapple with cognitive impairments, leaving them feeling exposed and vulnerable due to increased dependency and loss of dignity. Relatives' presence and help was a huge support during admission.

IMPLICATIONS FOR CLINICAL PRACTICE

This study highlights patients' and relatives' experiences of patients' cognitive impairments in the intensive care units. There is a need for nurses and allied healthcare professionals to address and manage reduced cognition in intensive care unit patients. This is particularly important to underpin recovery and rehabilitation processes, improve quality of life and optimise patients' return to everyday life. Future research must investigate how and when intensive care patients would benefit from preventive initiatives and initiatives to support recovery and rehabilitation of cognitive impairments.

Impact of the early phase of the COVID-19 pandemic on emergency department-to-intensive care unit admissions in Korea: an interrupted time-series analysis

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic resulted in significant disruptions to critical care systems globally. However, research on the impact of the COVID-19 pandemic on intensive care unit (ICU) admissions via the emergency department (ED) is limited. Therefore, this study evaluated the changes in the number of ED-to-ICU admissions and clinical outcomes in the periods before and during the pandemic.

METHODS

We identified all adult patients admitted to the ICU through level 1 or 2 EDs in Korea between February 2018 and January 2021. February 2020 was considered the onset point of the COVID-19 pandemic. The monthly changes in the number of ED-to-ICU admissions and the in-hospital mortality rates before and during the COVID-19 pandemic were evaluated using interrupted time-series analysis.

RESULTS

Among the 555,793 adult ED-to-ICU admissions, the number of ED-to-ICU admissions during the pandemic decreased compared to that before the pandemic (step change, 0.916; 95% confidence interval [CI] 0.869-0.966], although the trend did not attain statistical significance (slope change, 0.997; 95% CI 0.991-1.003). The proportion of patients who arrived by emergency medical services, those transferred from other hospitals, and those with injuries declined significantly among the number of ED-to-ICU admissions during the pandemic. The proportion of in-hospital deaths significantly increased during the pandemic (step change, 1.054; 95% CI 1.003-1.108); however, the trend did not attain statistical significance (slope change, 1.001; 95% CI 0.996-1.007). Mortality rates in patients with an ED length of stay of ≥ 6 h until admission to the ICU rose abruptly following the onset of the pandemic (step change, 1.169; 95% CI 1.021-1.339).

CONCLUSIONS

The COVID-19 pandemic significantly affected ED-to-ICU admission and in-hospital mortality rates in Korea. This study's findings have important implications for healthcare providers and policymakers planning the management of future outbreaks of infectious diseases. Strategies are needed to address the challenges posed by pandemics and improve the outcomes in critically ill patients.

Comparative Predictive Accuracies of the Simplified Mortality Score for the Intensive Care Unit, Sepsis Severity Score, and Standard Severity Scores for 90-day Mortality in Sepsis Patients

Background

The standard severity scores were used for predicting hospital mortality of intensive care unit (ICU) patients. Recently, the new predictive score, Simplified Mortality Score for the ICU (SMS-ICU), was developed for predicting 90-day mortality.

Objective

To validate the ability of the SMS-ICU and compare with sepsis severity score (SSS) and original severity scores for predicting 90-day mortality in sepsis patients.

Method

An analysis of retrospective data was conducted in the ICU of a university teaching hospital. Also, 90-day mortality was used for the primary outcome.

Results

A total of 1,161 patients with sepsis were included. The 90-day mortality was 42.4%. The SMS-ICU presented the area under the receiver operating characteristic curve (AUROC) of 0.71, whereas the SSS had significantly higher AUROC than that of the SMS-ICU (AUROC 0.876, p < 0.001). The acute physiology and chronic health evaluation (APACHE) II and IV, and the simplified acute physiology scores (SAPS) II demonstrated good discrimination, with an AUROC above 0.90. The SMS-ICU provides poor calibration for 90-day mortality prediction, similar to the SSS and other standard severity scores. Furthermore, 90-day mortality was underestimated by the SMS-ICU, which had a standardized mortality ratio (SMR) of 1.36. The overall performance by Brier score demonstrated that the SMS-ICU was inferior to the SSS (0.222 and 0.169, respectively). Also, SAPS II presented the best overall performance with a Brier score of 0.092.

Conclusion

The SMS-ICU indicated lower performance compared to the SSS, standard severity scores. Consequently, modifications are required to enhance the performance of the SMS-ICU.

How to cite this article

Sathaporn N, Khwannimit B. Comparative Predictive Accuracies of the Simplified Mortality Score for the Intensive Care Unit, Sepsis Severity Score, and Standard Severity Scores for 90-day Mortality in Sepsis Patients. Indian J Crit Care Med 2024;28(4):343-348.

What helps or hinders effective end-of-life care in adult intensive care units in Middle Eastern countries? A systematic review

BACKGROUND

As many patients are spending their last days in critical care units, it is essential that they receive appropriate end-of -life care. However, cultural differences, ethical dilemmas and preference practices can arise in the intensive care settings during the end of life. Limiting therapy for dying patients in intensive care is a new concept with no legal definition and therefore there may be confusion in interpreting the terms 'no resuscitation' and 'comfort care' among physicians in Middle East. Therefore, the research question is 'What helps or hinders effective end-of-life care in adult intensive care units in Middle Eastern countries?'

METHODS

The authors conducted a comprehensive systematic literature review using five electronic databases. We identified primary studies from Medline, Embase, CINAHL, Psycinfo and Scopus. The team assessed the full-text papers included in the review for quality using the Joanna Briggs Institute checklist (JBI). We completed the literature search on the first of April 2022 and was not limited to a specific period.

RESULTS

We identified and included nine relevant studies in the review. We identified five main themes as end-of-life care challenges and/or facilitators: organisational structure and management, (mis)understanding of end-of-life care, spirituality and religious practices for the dying, communication about end-of-life care, and the impact of the ICU environment.

CONCLUSIONS

This review has reported challenges and facilitators to providing end-of-life care in ICU and made initial recommendations for improving practice. These are certainly not unique to the Middle East but can be found throughout the international literature. However, the cultural context of Middle East and North Africa countries gives these areas of practice special challenges and opportunities. Further observational research is recommended to confirm or modify the results of this review, and with a view to developing and evaluating comprehensive interventions to promote end-of-life care in ICUs in the Middle East.

An outbreak of multi-drug-resistant Acinetobacter baumannii on a burns ICU and its control with multi-faceted containment measures

BACKGROUND

Patients in burns centres are at high risk of acquiring multi-drug-resistant organisms (MDROs) due to the reduced skin barrier and long hospital stay.

METHODS

This study reports the investigation and control of an outbreak of MDR Acinetobacter baumannii in a burns centre. The 27 patients hospitalized in the centre during the outbreak were screened regularly, and a total of 132 environmental samples were analysed to identify a potential source. Fourier-transform infra-red (FT-IR) spectroscopy and multi-locus sequence typing were applied to characterize the outbreak strain.

RESULTS

Between August and November 2022, the outbreak affected eight patients, with 11 infections and three potentially related fatal outcomes. An interdisciplinary and multi-professional outbreak team implemented a bundle strategy with repetitive admission stops, isolation precaution measures, patient screenings, enhanced cleaning and disinfection, and staff education. FT-IR spectroscopy suggested that the outbreak started from a patient who had been repatriated 1 month previously from a country with high prevalence of MDR A. baumannii. Environmental sampling did not identify a common source. Acquisition of the outbreak strain was associated with a higher percentage of body surface area with burn lesions ≥2a [per percent increase: odds ratio (OR) 1.05, 95% confidence interval (CI) 0.99-1.12; P=0.09], and inversely associated with a higher nurse-to-patient ratio (per 0.1 increase: OR 0.34, 95% CI 0.10-1.12; P=0.06).

CONCLUSIONS

Burn patients with a higher percentage of body surface area with burn lesions ≥2a are at high risk of colonization and infection due to MDROs, particularly during periods of high workload. A multi-faceted containment strategy can successfully control outbreaks due to MDR A. baumannii in a burns centre.