Hypophosphatemia and refeeding syndrome after ICU admission: the potential negative impact on outcome in intensive care unit patients

Background: Intensive care unit (ICU) admission following a short-term emergency department (ED) revisit has been considered a particularly undesirable outcome among return-visit patients, although their in-hospital prognosis has not been discussed. We aimed to compare clinical outcomes between adult patients admitted to the ICU after unscheduled ED revisits and those admitted during index ED visits. Method: This retrospective study was conducted at two tertiary medical centers in Taiwan from 1 January 2016 to 31 December 2017. All adult non-trauma patients admitted to the ICU directly via the ED during the study period were included and divided into two comparison groups: patients admitted to the ICU during index ED visits and those admitted to the ICU during return ED visits. The outcomes of interest included in-hospital mortality, mechanical ventilation (MV) support, profound shock, hospital length of stay (HLOS), and total medical cost. Results: Altogether, 12,075 patients with a mean (standard deviation) age of 64.6 (15.7) years were included. Among these, 5.3% were admitted to the ICU following a return ED visit within 14 days and 3.1% were admitted following a return ED visit within 7 days. After adjusting for confounding factors for multivariate regression analysis, ICU admission following an ED revisit within 14 days was not associated with an increased mortality rate (adjusted odds ratio (aOR): 1.08, 95% confidence interval (CI): 0.89 to 1.32), MV support (aOR: 1.06, 95% CI: 0.89 to 1.26), profound shock (aOR: 0.99, 95% CI: 0.84 to 1.18), prolonged HLOS (difference: 0.04 days, 95% CI: −1.02 to 1.09), and increased total medical cost (difference: USD 361, 95% CI: −303 to 1025). Similar results were observed after the regression analysis in patients that had a 7-day return visit. Conclusion: ICU admission following a return ED visit was not associated with major in-hospital outcomes including mortality, MV support, shock, increased HLOS, or medical cost. Although ICU admissions following ED revisits are considered serious adverse events, they may not indicate poor prognosis in ED practice.

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Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admission

Scientific Reports ◽

10.1038/s41598-020-80474-z ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Bongjin Lee ◽

Kyunghoon Kim ◽

Hyejin Hwang ◽

You Sun Kim ◽

Eun Hee Chung ◽

...

Keyword(s):

Machine Learning ◽

Intensive Care Unit ◽

Intensive Care ◽

Validation Cohort ◽

External Validation ◽

Learning Model ◽

Derivation Cohort ◽

Icu Admission ◽

Early Stages ◽

Machine Learning Model

AbstractThe aim of this study was to develop a predictive model of pediatric mortality in the early stages of intensive care unit (ICU) admission using machine learning. Patients less than 18 years old who were admitted to ICUs at four tertiary referral hospitals were enrolled. Three hospitals were designated as the derivation cohort for machine learning model development and internal validation, and the other hospital was designated as the validation cohort for external validation. We developed a random forest (RF) model that predicts pediatric mortality within 72 h of ICU admission, evaluated its performance, and compared it with the Pediatric Index of Mortality 3 (PIM 3). The area under the receiver operating characteristic curve (AUROC) of RF model was 0.942 (95% confidence interval [CI] = 0.912–0.972) in the derivation cohort and 0.906 (95% CI = 0.900–0.912) in the validation cohort. In contrast, the AUROC of PIM 3 was 0.892 (95% CI = 0.878–0.906) in the derivation cohort and 0.845 (95% CI = 0.817–0.873) in the validation cohort. The RF model in our study showed improved predictive performance in terms of both internal and external validation and was superior even when compared to PIM 3.

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Respiratory events in ward are associated with later intensive care unit (ICU) admission and hospital mortality in onco-hematology patients not admitted to ICU after a first request

PLoS ONE ◽

10.1371/journal.pone.0181808 ◽

2017 ◽

Vol 12 (7) ◽

pp. e0181808 ◽

Cited By ~ 5

Author(s):

Laure Doukhan ◽

Magali Bisbal ◽

Laurent Chow-Chine ◽

Antoine Sannini ◽

Jean Paul Brun ◽

...

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Hospital Mortality ◽

Icu Admission ◽

Respiratory Events

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Outpatient Follow-up Care After Hospital Discharge of Children With Complex Chronic Conditions at a Rural Tertiary Care Hospital

Clinical Pediatrics ◽

10.1177/00099228211047242 ◽

2021 ◽

pp. 000992282110472

Author(s):

Andrew Brown ◽

Mary Quaile ◽

Hannah Morris ◽

Dmitry Tumin ◽

Clayten L. Parker ◽

...

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Hospital Discharge ◽

Care Coordination ◽

Chronic Conditions ◽

Tertiary Care ◽

Care Hospital ◽

Icu Admission ◽

Complex Chronic Conditions

Objective To determine factors associated with completion of recommended outpatient follow-up visits in children with complex chronic conditions (CCCs) following hospital discharge. Methods We retrospectively identified children aged 1 to 17 years diagnosed with a CCC who were discharged from our rural tertiary care children’s hospital between 2017 and 2018 with a diagnosis meeting published CCC criteria. Patients discharged from the neonatal intensive care unit and patients enrolled in a care coordination program for technology-dependent children were excluded. Results Of 113 eligible patients, 77 (68%) had outpatient follow-up consistent with discharge instructions. Intensive care unit (ICU) admission ( P = .020) and prolonged length of stay ( P = .004) were associated with decreased likelihood of completing recommended follow-up. Conclusions Among children with CCCs who were not already enrolled in a care coordination program, ICU admission was associated with increased risk of not completing recommended outpatient follow-up. This population could be targeted for expanded care coordination efforts.

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Intensive Care Unit Capacity Strain and Outcomes of Critical Illness in a Resource-Limited Setting: A 2-Hospital Study in South Africa

Journal of Intensive Care Medicine ◽

10.1177/0885066618815804 ◽

2018 ◽

Vol 35 (10) ◽

pp. 1104-1111 ◽

Cited By ~ 4

Author(s):

George L. Anesi ◽

Nicole B. Gabler ◽

Nikki L. Allorto ◽

Carel Cairns ◽

Gary E. Weissman ◽

...

Keyword(s):

South Africa ◽

Intensive Care Unit ◽

Intensive Care ◽

Critical Illness ◽

Primary Outcome ◽

Resource Limited Setting ◽

Icu Mortality ◽

Icu Admission ◽

Resource Limited ◽

Limited Setting

Objective: To measure the association of intensive care unit (ICU) capacity strain with processes of care and outcomes of critical illness in a resource-limited setting. Methods: We performed a retrospective cohort study of 5332 patients referred to the ICUs at 2 public hospitals in South Africa using the country’s first published multicenter electronic critical care database. We assessed the association between multiple ICU capacity strain metrics (ICU occupancy, turnover, census acuity, and referral burden) at different exposure time points (ICU referral, admission, and/or discharge) with clinical and process of care outcomes. The association of ICU capacity strain at the time of ICU admission with ICU length of stay (LOS), the primary outcome, was analyzed with a multivariable Cox proportional hazard model. Secondary outcomes of ICU triage decision (with strain at ICU referral), ICU mortality (with strain at ICU admission), and ICU LOS (with strain at ICU discharge), were analyzed with linear and logistic multivariable regression. Results: No measure of ICU capacity strain at the time of ICU admission was associated with ICU LOS, the primary outcome. The ICU occupancy at the time of ICU admission was associated with increased odds of ICU mortality (odds ratio = 1.07, 95% confidence interval: 1.02-1.11; P = .004), a secondary outcome, such that a 10% increase in ICU occupancy would be associated with a 7% increase in the odds of ICU mortality. Conclusions: In a resource-limited setting in South Africa, ICU capacity strain at the time of ICU admission was not associated with ICU LOS. In secondary analyses, higher ICU occupancy at the time of ICU admission, but not other measures of capacity strain, was associated with increased odds of ICU mortality.

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Changes in muscle ultrasound for the diagnosis of intensive care unit acquired weakness in critically ill patients

Scientific Reports ◽

10.1038/s41598-021-97680-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Weiqing Zhang ◽

Jun Wu ◽

Qiuying Gu ◽

Yanting Gu ◽

Yujin Zhao ◽

...

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Diagnostic Accuracy ◽

Biceps Brachii ◽

Rectus Femoris ◽

Apache Ii ◽

Cross Sectional ◽

Icu Admission ◽

The Right ◽

Muscle Ultrasound

AbstractTo test diagnostic accuracy of changes in thickness (TH) and cross-sectional area (CSA) of muscle ultrasound for diagnosis of intensive care unit acquired weakness (ICU-AW). Fully conscious patients were subjected to muscle ultrasonography including measuring the changes in TH and CSA of biceps brachii (BB) muscle, vastus intermedius (VI) muscle, and rectus femoris (RF) muscles over time. 37 patients underwent muscle ultrasonography on admission day, day 4, day 7, and day 10 after ICU admission, Among them, 24 were found to have ICW-AW. Changes in muscle TH and CSA of RF muscle on the right side showed remarkably higher ROC-AUC and the range was from 0.734 to 0.888. Changes in the TH of VI muscle had fair ROC-AUC values which were 0.785 on the left side and 0.779 on the right side on the 10th day after ICU admission. Additionally, Sequential Organ Failure Assessment (SOFA), Acute Physiology, and Chronic Health Evaluation II (APACHE II) scores also showed good discriminative power on the day of admission (ROC-AUC 0.886 and 0.767, respectively). Ultrasonography of changes in muscles, especially in the TH of VI muscle on both sides and CSA of RF muscle on the right side, presented good diagnostic accuracy. However, SOFA and APACHE II scores are better options for early ICU-AW prediction due to their simplicity and time efficiency.

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Cardiovascular Diseases and COVID-19 Mortality and Intensive Care Unit Admission: A Systematic Review and Meta-analysis

10.1101/2020.04.12.20062869 ◽

2020 ◽

Cited By ~ 3

Author(s):

Amir Shamshirian ◽

Keyvan Heydari ◽

Reza Alizadeh-Navaei ◽

Mahmood Moosazadeh ◽

Saeed Abrotan ◽

...

Keyword(s):

Heart Failure ◽

Systematic Review ◽

Cardiovascular Disease ◽

Intensive Care Unit ◽

Intensive Care ◽

Cardiovascular Diseases ◽

Meta Analysis ◽

Cardiac Injury ◽

Icu Admission ◽

The World

AbstractImportanceOn 11th March, the World Health Organization declared a pandemic of COVID-19. There are over 1 million cases around the world with this disease and it continues to raise. Studies on COVID-19 patients have reported high rate of cardiovascular disease (CVD) among them and patients with CVD had higher mortality rate.ObjectivesSince there were controversies between different studies about CVD burden in COVID-19 patients, we aimed to study cardiovascular disease burden among COVID-19 patients using a systematic review and meta-analysis.Data SourcesWe have systematically searched databases including PubMed, Embase, Cochrane Library, Scopus, Web of Science as well as medRxiv pre-print database. Hand searched was also conducted in journal websites and Google Scholar.Study SelectionStudies reported cardiovascular disease among hospitalized adult COVID-19 patients with mortality or ICU admission (primary outcomes) were included into meta-analysis. In addition, all of studies which reported any cardiovascular implication were included for descriptive meta-analysis. Cohort studies, case-control, cross-sectional, case-cohort and case series studies included into the study. Finally, 16 studies met the inclusion criteria for primary outcome and 59 studies for descriptive outcome.Data Extraction and SynthesisTwo investigators have independently evaluated quality of publications and extracted data from included papers. In case of disagreement a supervisor solved the issue and made the final decision. Quality assessment of studies was done using Newcastle-Ottawa Scale tool. Heterogeneity was assessed using I-squared test and in case of high heterogeneity (>%50) random effect model was used.Main Outcomes and MeasuresMeta-analyses were carried out for Odds Ratio (OR) of mortality and Intensive Care Unit (ICU) admission for different CVDs and Standardized Mean Difference (SMD) was calculated for Cardiac Troponin I. We have also performed a descriptive meta-analysis on different CVDs.ResultsSixteen papers including 3473 patients entered into meta-analysis for ICU admission and mortality outcome and fifty-nine papers including 9509 patients for descriptive outcomes. Results of meta-analysis indicated that acute cardiac injury, (OR: 15.94, 95% CI 2.31-110.14), hypertension (OR: 1.92, 95% CI 1.92-2.74), heart Failure (OR: 11.73, 95% CI 5.17-26.60), other cardiovascular disease (OR: 1.95, 95% CI 1.17-3.24) and overall CVDs (OR: 3.37, 95% CI 2.06-5.52) were significantly associated with mortality in COVID-19 patients. Arrhythmia (OR: 22.17, 95%CI 4.47-110.04), acute cardiac injury (OR: 19.83, 95%CI 7.85-50.13), coronary heart disease (OR: 4.19, 95%CI 1.27-13.80), cardiovascular disease (OR: 4.17, 95%CI 2.52-6.88) and hypertension (OR: 2.69, 95%CI 1.55-4.67) were also significantly associated with ICU admission in COVID-19 patients.ConclusionOur findings showed a high burden of CVDs among COVID-19 patients which was significantly associated with mortality and ICU admission. Proper management of CVD patients with COVID-19 and monitoring COVID-19 patients for acute cardiac conditions is highly recommended to prevent mortality and critical situations.Key PointsQuestionAre cardiovascular disease associated with mortality and Intensive Care Unit admission (ICU) of COVID-19 patients?FindingsIn this systematic review and meta-analysis, acute cardiac injury, hypertension, heart failure and overall cardiovascular diseases were significantly associated with mortality in COVID-19 patients. Arrhythmia, coronary heart disease, hypertension, acute cardiac injury and other cardiovascular disease were significantly associated with ICU admission of COVID-19 patients.MeaningCardiovascular diseases have significant role in mortality and disease severity of COVID-19 patients. COVID-19 patients need to be carefully monitored for cardiovascular diseases and managed properly in case of acute cardiac conditions.

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The Predictive Role of Neutrophil to Lymphocyte Ratio and Platelet to Lymphocyte Ratio on Intensive Care Unit Admission and Mortality of COVID-19 Patients in Iran

10.21203/rs.3.rs-334097/v1 ◽

2021 ◽

Author(s):

Peiman Foroughi ◽

Mojtaba Varshochi ◽

Mehdi Hassanpour ◽

Meisam Amini ◽

Behnam Amini ◽

...

Keyword(s):

Intensive Care Unit ◽

Risk Factor ◽

Intensive Care ◽

Independent Risk Factor ◽

Multivariate Logistic Regression Analysis ◽

Neutrophil To Lymphocyte Ratio ◽

Platelet To Lymphocyte Ratio ◽

Lymphocyte Ratio ◽

Icu Admission ◽

Inflammatory Index

Abstract Since the outbreak of COVID-19 several studies conducted to identify predictive factors which are associated with prognosis of COVID-19. In this study we aimed to determine whether the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) could help the clinicians to predict intensive care unit (ICU) admission and mortality of COVID-19 patients. This retrospective cohort study involved examining the medical records of 311 Iranian COVID-19 patients from 22 July 2020 to 22 August 2020. All characteristic data and laboratory results were recorded. The receiver operating characteristic (ROC) curve was used to identify the predictive value of studied parameters for ICU admission and death. Comparison of data revealed that some factors were jointly higher in non-survivors and ICU admitted patients than survivors and non-ICU admitted patients, such as: age, hemoglobin (HB), NLR, derived neutrophil-to-lymphocyte ratio (dNLR), PLR, systemic inflammatory index (SII), lactate dehydrogenase (LDH), Respiratory diseases, ischemic heart disease (IHD). Multivariate logistic regression analysis showed that only hypertension (OR 3.18, P=0.02) is an independent risk factor of death in COVID-19 patients, and also PLR (OR 1.02, P=0.05), hypertension (OR 4.00, P=0.002) and IHD (OR 5.15, P=0.008) were independent risk factor of ICU admission in COVID-19 patients. This study revealed that the NLR, PLR, platelet-to-white blood Cell ratio (PWR), dNLR and SII are valuable factors for predicting ICU admission and mortality of COVID-19 patients.

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Nutritional therapy of COVID-19 disease in Intensive care units

Medicinski glasnik Specijalne bolnice za bolesti štitaste žlezde i bolesti metabolizma ◽

10.5937/mgiszm2183027d ◽

2021 ◽

Vol 26 (83) ◽

pp. 27-52

Author(s):

Biljana Damnjanović ◽

Đuro Šijan ◽

Ivan Rović ◽

Igor Lazić ◽

Saša Knežević ◽

...

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Negative Impact ◽

Current Knowledge ◽

Virus Disease ◽

Nutritional Therapy ◽

Hospital Treatment ◽

Omega 3 ◽

Corona Virus ◽

Number Of Patients

Since the beginning of 2020, SARS-CoV 2 (Severe Acute Respiratory Syndrome - Corona Virus 2) has been in the focus of scientific circles and beyond. Finding the most efficient therapeutic protocol in prevention and treatment of the new and unknown COVID - 19 (Corona Virus Disease - 2019) disease has been indentified as especially important. SARS-CoV 2 uses various mechanisms to lead patients to malnutrition, which is detected by a higher frequency of admission to hospital treatment, especially on admission to the Intensive Care Unit (ICU). Malnutrition has a negative impact on the course and outcome of the disease. In the pandemic, the number of patients on various types of oxygen therapy and mechanical ventilation increased, and in correlation with that, there has been a greater need for knowledge and education of staff to use different diagnostic and therapeutic modalities and different approaches in feeding critically ill patients. Nutritional therapy is the basis for maintaining body weight, supporting respiratory function, as well as helping in the overall recovery of patients. Omega 3 fatty acids, vitamins C and D have shown potentially beneficial effects against COVID-19 diseases. The aim of this paper is to consolidate the current knowledge and recommendations in the field of nutritional therapy in patients with COVID-19 treated in the Intensive Care Unit.

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COVID outcome prediction in the emergency department (COPE): using retrospective Dutch hospital data to develop simple and valid models for predicting mortality and need for intensive care unit admission in patients who present at the emergency department with suspected COVID-19

BMJ Open ◽

10.1136/bmjopen-2021-051468 ◽

2021 ◽

Vol 11 (9) ◽

pp. e051468

Author(s):

David van Klaveren ◽

Alexandros Rekkas ◽

Jelmer Alsma ◽

Rob J C G Verdonschot ◽

Dick T J J Koning ◽

...

Keyword(s):

Intensive Care Unit ◽

Emergency Department ◽

Intensive Care ◽

Outcome Prediction ◽

Characteristic Curve ◽

Hospital Death ◽

Hospital Data ◽

Dutch Hospital ◽

Icu Admission ◽

Second Wave

ObjectivesDevelop simple and valid models for predicting mortality and need for intensive care unit (ICU) admission in patients who present at the emergency department (ED) with suspected COVID-19.DesignRetrospective.SettingSecondary care in four large Dutch hospitals.ParticipantsPatients who presented at the ED and were admitted to hospital with suspected COVID-19. We used 5831 first-wave patients who presented between March and August 2020 for model development and 3252 second-wave patients who presented between September and December 2020 for model validation.Outcome measuresWe developed separate logistic regression models for in-hospital death and for need for ICU admission, both within 28 days after hospital admission. Based on prior literature, we considered quickly and objectively obtainable patient characteristics, vital parameters and blood test values as predictors. We assessed model performance by the area under the receiver operating characteristic curve (AUC) and by calibration plots.ResultsOf 5831 first-wave patients, 629 (10.8%) died within 28 days after admission. ICU admission was fully recorded for 2633 first-wave patients in 2 hospitals, with 214 (8.1%) ICU admissions within 28 days. A simple model—COVID outcome prediction in the emergency department (COPE)—with age, respiratory rate, C reactive protein, lactate dehydrogenase, albumin and urea captured most of the ability to predict death. COPE was well calibrated and showed good discrimination for mortality in second-wave patients (AUC in four hospitals: 0.82 (95% CI 0.78 to 0.86); 0.82 (95% CI 0.74 to 0.90); 0.79 (95% CI 0.70 to 0.88); 0.83 (95% CI 0.79 to 0.86)). COPE was also able to identify patients at high risk of needing ICU admission in second-wave patients (AUC in two hospitals: 0.84 (95% CI 0.78 to 0.90); 0.81 (95% CI 0.66 to 0.95)).ConclusionsCOPE is a simple tool that is well able to predict mortality and need for ICU admission in patients who present to the ED with suspected COVID-19 and may help patients and doctors in decision making.

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