ICU Admission Research Articles

Six clinical phenotypes with prognostic implications were identified by unsupervised machine learning in children and adolescents with SARS-CoV-2 infection: results from a German nationwide registry

ObjectivePhenotypes are important for patient classification, disease prognostication, and treatment customization. We aimed to identify distinct clinical phenotypes of children and adolescents hospitalized with SARS-CoV-2 infection, and to evaluate their prognostic differences.MethodsThe German Society of Pediatric Infectious Diseases (DGPI) registry is a nationwide, prospective registry for children and adolescents hospitalized with a SARS-CoV-2 infection in Germany. We applied hierarchical clustering for phenotype identification with variables including sex, SARS-CoV-2-related symptoms on admission, pre-existing comorbidities, clinically relevant coinfection, and SARS-CoV-2 risk factors. Outcomes of this study were: discharge status and ICU admission. Discharge status was categorized as: full recovery, residual symptoms, and unfavorable prognosis (including consequential damage that has already been identified as potentially irreversible at the time of discharge and SARS-CoV-2-related death). After acquiring the phenotypes, we evaluated their correlation with discharge status by multinomial logistic regression model, and correlation with ICU admission by binary logistic regression model. We conducted an analogous subgroup analysis for those aged < 1 year (infants) and those aged ⩾ 1 year (non-infants).ResultsThe DGPI registry enrolled 6983 patients, through which we identified six distinct phenotypes for children and adolescents with SARS-CoV-2 which can be characterized by their symptom pattern: phenotype A had a range of symptoms, while predominant symptoms of patients with other phenotypes were gastrointestinal (95.9%, B), asymptomatic (95.9%, C), lower respiratory tract (49.8%, D), lower respiratory tract and ear, nose and throat (86.2% and 41.7%, E), and neurological (99.2%, F). Regarding discharge status, patients with D and E phenotype had the highest odds of having residual symptoms (OR: 1.33 [1.11, 1.59] and 1.91 [1.65, 2.21], respectively) and patients with phenotype D were significantly more likely (OR: 4.00 [1.95, 8.19]) to have an unfavorable prognosis. Regarding ICU, patients with phenotype D had higher possibility of ICU admission than staying in normal ward (OR: 4.26 [3.06, 5.98]), compared to patients with phenotype A. The outcomes observed in the infants and non-infants closely resembled those of the entire registered population, except infants did not exhibit typical neurological/neuromuscular phenotypes.ConclusionsPhenotypes enable pediatric patient stratification by risk and thus assist in personalized patient care. Our findings in SARS-CoV-2-infected population might also be transferable to other infectious diseases.

Incidence and factors associated with immediate adverse neonatal outcomes among emergency obstetric referrals in labor at a tertiary hospital in Uganda: a prospective cohort study

BackgroundHigh rates of adverse neonatal outcomes in resource-limited settings are multifactorial, varying by country, region, and institution. In sub-Saharan Africa, the majority of adverse neonatal outcomes are intrapartum related, and studies in Uganda have shown that referral in labor is a major determinant of adverse neonatal outcomes. This study aimed to assess the incidence and factors associated with immediate adverse neonatal outcomes among emergency obstetric referrals in labor at a tertiary hospital in Eastern Uganda.Materials and methodsThis was a prospective cohort study involving 265 women who were referred in labor to Jinja Regional Referral Hospital in Uganda with emergency obstetric complications. The exposure of interest was being referred with obstetrical emergency, and the outcome variable was adverse neonatal outcomes. The study was conducted between July 5, 2023, and October 5, 2023. Consecutive sampling was used, and data on sociodemographic and obstetric factors, referral related factors, as well as the primary outcome variable (adverse neonatal outcome) were collected via interviewer-administered questionnaires. The data were then cleaned, coded, and analyzed using STATA version 14. Log-binomial regression determined risk ratios and associations for factors related to adverse neonatal outcomes. Variables with p-values < 0.2 in bivariable analysis were included in the multivariable analysis, where significance was set at p < 0.05.ResultsOf the 265 women exposed to emergency obstetrical referrals, 40% experienced adverse neonatal outcomes, a composite measure including neonatal intensive care admission (27.6%), low Apgar score (23.8%), fresh stillbirth (11.3%), early-onset neonatal infection (6.8%), and early neonatal death (2.3%). Factors significantly associated with adverse neonatal outcomes were; maternal age ≥ 35 years (aRR = 1.72, CI:1.194–2.477, p value = 0.004), APH (aRR = 2.48, CI: 1.859–3.311, p-value < 0.001), and non-reassuring fetal status (aRR = 1.90, CI: 1.394–2.584, p-value < 0.001).ConclusionsThe study found a high rate of adverse neonatal outcomes among emergency obstetric referrals, with 40% of participants facing issues like ICU admissions, low Apgar scores and fresh stillbirth. Key factors included maternal age over 35, antepartum hemorrhage, and non-reassuring fetal status. These results highlight the urgent need for targeted interventions in emergency obstetric care. Strategies should enhance referral systems, improve facility preparedness, train healthcare providers, and educate communities on timely referrals and managing high-risk pregnancies.

Severe Respiratory Acidosis in Acute Exacerbation COPD, Is that Possible to Treat?

Introduction: Chronic obstructive pulmonary disease (COPD), currently the third leading cause of death worldwide, is a common condition characterized by progressive airflow limitation and tissue destruction. Patients with COPD may present to the Emergency Room (ER) with severe acute exacerbations (AECOPD), which can be associated with acute respiratory failure—a life-threatening condition with a mortality rate approaching 50% in Indonesia—requiring rapid intervention and ICU admission. In this report, we present a severe respiratory acidosis in AECOPD case with successful emergency followed by ICU management and the frequent pitfalls. Case Illustration: In this report we present a-67 years old male, pedicab driver and smoker came to the ER with acute onset shortness of breath and decrease of consciousness with history of shortness of breath in last 10 years. In primary survey we found clear wheezing sound, tachypnea, intercostal retraction, decrease of peripheral oxygen saturation, tachycardia and verbal respond of consciousness. Blood gas analysis result interpreted severe respiratory acidosis with pH 6.90 and pCO2 128.5 mmHg. Chest radiograph showed infiltrate that became the cause of exacerbation. Endotracheal intubation was performed due to decreased consciousness, persistent tachypnea and pCO2 over 100 mmHg. This patient was hospitalized for 12 days including 9 days in ICU followed by 3 days in regular ward. Conclusion: The goal for AECOPD management is to minimize and prevent the negative effects of the exacerbation.

Effects of Buprenorphine, Methadone, and Substance-Use on COVID-19 Morbidity and Mortality.

Substance use disorder has been associated with increased morbidity in COVID-19 infection. However, less is known about the impact of active substance use and medications for opioid use disorder (MOUD) on COVID-19 outcomes. We conducted a retrospective cohort study to evaluate the impact of substance use, namely, cannabis, cocaine, alcohol, sedative and opioid use; and buprenorphine or methadone on COVID-19 morbidity and mortality. Using electronic health record data at a large urban hospital system, patients who tested positive for COVID-19 between January 1, 2020, and December 31, 2021, were included. Substance use was identified from urine toxicology and MOUD prescriptions within 90 days prior to admission. COVID-19 outcomes included mortality, ICU admission, need for intubation, and number and duration of hospitalizations. Multivariable logistic regression was performed controlling for variables such as age, sex, medical comorbidity, tobacco use, and social disadvantage. Among COVID-19-positive patients (n = 17,423), sedative, cannabis, cocaine, and opioid use was associated with statistically significant increases in need for ICU care, need for ventilatory support, number of hospitalizations, and duration of hospitalization. Substance use was not associated with an increase in all-cause mortality. There were no statistically significant differences between methadone, buprenorphine, and other opioids on COVID-19 outcomes. Active substance use was associated with increased morbidity in COVID-19 infection. MOUD was not associated with worse COVID-19 outcomes compared to other opioids. Future studies focused on MOUD treatments that reduce morbidity may help improve clinical outcomes in COVID-19.

Delirium and Weakness Acquired in the Intensive Care Unit: Individual and Combined Effects on 90-Day Mortality in Survivors of Critical Illness.

To compare the individual and combined effects on 90-day mortality among four critically ill survivor groups: normal (without ICU-acquired delirium or ICU-acquired weakness), delirium-only (with ICU-acquired delirium only), weakness-only (with ICU-acquired weakness only) and delirium-weakness (combined ICU-acquired delirium and weakness). A prospective cohort study consecutively recruited delirium-free critically ill patients admitted to six medical ICUs at a university hospital. Delirium was assessed once daily for 14 days (or until death or ICU discharge) using the Confusion Assessment Method for the ICU. Participants who were discharged from the ICUs were assessed for weakness using the Medical Research Council scale. A summed score below 48 defines ICU-acquired weakness. These survivors were evaluated again for 90-day mortality. The study is reported using the STROBE checklist. Delirium developed in 107 (43.2%) participants during their first 14 days of ICU stay; 55 (22.2%) met criteria for weakness by ICU discharge. Participants with delirium were at increased risk for also developing ICU-acquired weakness, and the 90-day mortality was 18.2%. Independent of age and Acute Physiology and Chronic Health Evaluation II score at ICU admission, delirium-only and weakness-only were not associated with higher 90-day mortality, while participants in the delirium-weakness group had a 3.69-fold higher risk of death, compared to those who were normal during the ICU stay. A non-significant interaction was found, suggesting the joint effect of delirium and weakness on mortality is not higher than the sum of both effects individually. Mortality is substantially high among critically ill survivors who experience both delirium and weakness, although no additive effect on mortality was observed when these conditions occur together. Our findings highlight the urgent need to optimise ICU care by prioritising the prevention, early identification and management of these two common ICU-acquired conditions. Study participation and completion of all assessments. ClinicalTrials.gov identifier: NCT04206306.

Prediction of Hospital Readmission Using the CORE and CORE+ Scores in Persons With COPD.

Identifying persons with COPD at high risk for hospital readmission provides opportunities for efficient and appropriate care to lower readmission risk. This study examined 30-d and 60-d hospital readmission prediction of the COPD-readmission (CORE) score and a newly developed CORE+ score. The relationship between CORE and CORE+ scores and ICU admission, endotracheal intubation, and in-hospital noninvasive ventilation (NIV) use was explored. A retrospective cohort study evaluated participants with spirometry-confirmed COPD from 2 Midwestern academic hospitals. The CORE score variables included eosinophil blood count, FEV1/FVC (<0.70) and FEV1 (≤40% of predicted), triple inhaler therapy, previous hospitalization, and presence of neuromuscular disease. Out-of-hospital NIV use and Charlson comorbidity index were added to compose the CORE+ score. Researchers assessed associations between variables and outcomes with chi-square test or Fisher exact test, compared results of CORE and CORE+ scores with Wilcoxon signed-rank test, assessed each score's 30-d and 60-d readmission predictive power with multiple logistic regression, and evaluated predictive accuracy with AUC of receiver operating characteristic using alpha < 0.05. Of 391 participants, the study found a 22% 30-d, all-cause readmission rate and a 16% 60-d, all-cause readmission rate. CORE+ score had better predictive accuracy than the CORE score for 30-d readmission (area under the curve 0.81 [95% CI 0.76-0.86]; AUC 0.73 [95% CI 0.66-0.79], P < .001) and 60-d readmission (AUC 0.77 [95% CI 0.71-0.83]; AUC 0.75 [95% CI 0.69-0.81], P < .001). Participants who used in-hospital NIV had higher median CORE+ scores (P = < .001). CORE and CORE+ scores demonstrated good to very good predictive accuracy for 30-d and 60-d readmission, respectively. Moreover, this study demonstrated a linear relationship between in-hospital NIV use and CORE+ score.

The Incidence, Aetiology and Clinical Course of Serious Infections Complicating Biological and Targeted Synthetic Disease-Modifying Antirheumatic Drug Therapy in Patients with Rheumatoid Arthritis in Tropical Australia

Introduction: Patients receiving biological and targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) for rheumatological conditions are at an increased risk of serious, potentially life-threatening, infection. However, the incidence, aetiology, and clinical course of serious infection in patients receiving b/tsDMARDs in tropical settings are incompletely defined. Methods: We retrospectively reviewed all patients with rheumatoid arthritis receiving b/tsDMARDs between October 2012 and October 2021, at Cairns Hospital in tropical Australia. The incidence, aetiology, and clinical course of serious infections (those requiring admission to hospital or parenteral antibiotics) were determined. Results: 310 patients had 1468 patient years of b/tsDMARD therapy during the study period; 74/310 (24%) had 147 serious infections translating to an overall risk of 10.0 episodes of serious infection per 100 patient years. The respiratory tract (50/147, 34%) and skin (37/147, 25%) were the most frequently affected sites. A pathogen was identified in 59/147 (40%) episodes and was most commonly Staphylococcus aureus (24/147, 16%). Only 2/147 (1%) were confirmed “tropical infections”: 1 case of Burkholderia pseudomallei and 1 case of mixed B. pseudomallei and community-acquired Acinetobacter baumannii infection. Overall, 13/147 (9%) episodes of serious infection required Intensive Care Unit admission (0.9 per 100-patient years of b/tsDMARD therapy) and 4/147 (3%) died from their infection (0.3 per 100-patient years of b/tsDMARD therapy). The burden of comorbidity and co-administration of prednisone were the strongest predictors of death or a requirement for ICU admission. Conclusions: The risk of serious infection in patients taking b/tsDMARDs in tropical Australia is higher than in temperate settings, but this is not explained by an increased incidence of traditional tropical pathogens.

Diagnoses of children living with HIV before and during the COVID-19 pandemic.

There is limited data on diagnoses during hospital stay among children living with HIV(CLHIV) in the antiretroviral and coronavirus disease 2019 (COVID-19) era. The aim of this study was to describe hospital diagnoses and clinical characteristics of CLHIV before and during the COVID-19 pandemic. A retrospective descriptive cross-sectional study was performed. Clinical and laboratory data were retrieved by reviewing folders and discharge summaries from January 2019 to December 2021. Period A (pre-COVID-19) was defined as the period from January 2019 to March 2020. Period B (During COVID-19) was defined as being from April 2020 to December 2021. Ninety-six children contributed 215 diagnoses over the study period. The five most common diagnoses were unspecified HIV disease (47/215, 21.9%), tuberculosis (TB) (42/215, 19.5%), pneumonia (13/215, 6.0%), encephalopathy (11/215, 5.1%) and malnutrition (11/215, 5.1%). Median CD4 count was 377 cells/mm (IQR 126, 726) and 8.0% of the children were virally suppressed. Ninety-five per cent of the children had WHO Stage 3 and 4 (95%) disease and 12.5% of children required ICU admission. No child was diagnosed with COVID-19 despite universal screening. Moreover, 81.7% of the children had a social worker referral documented. Advanced HIV disease (AHD) remains prevalent with TB being the most common diagnosis. There were no cases of COVID-19 recorded in CLHIV. The findings provide a description of the diagnoses of CLHIV in the South African setting prior to and during the COVID-19 pandemic. It highlights the need for more specific documentation of diagnoses to inform better prevention of AHD in children.

National Early Warning Score 2 to Predict ICU Admission of COVID-19 Patients in Bangladeshi Cohort

Objective: To assess the predictive accuracy of the National Early Warning Score 2 (NEWS 2) for early prediction of clinical deterioration (ICU admission) of COVID-19- infected patients in Bangladesh. Methods: Data from 244 patients with COVID-19 infection admitted from July 2021- September 2021, to the Aichi Hospital Ltd, Bangladesh, were retrospectively reviewed. Consecutive adult patients with laboratory-confirmed COVID-19 initially admitted to non- ICU wards were included. Categorical and quantitative variables were expressed as numbers (percentages) and median (interquartile range, IQR). We evaluated the predictive performance of NEWS2 to predict ICU admission by comparing the area under the receiver operating characteristics curve (AUROC) at thresholds 5 and 7 and assessed its association with ICU admission by performing multivariate logistic analyses. STATA conducted all the statistical analyses. Results: Among the included 218 patients, 68 patients were transferred to ICU. The AUROC was 0.96 (Standard error 0.01, 95% confidence interval 0.93-0.98), revealing that NEWS2 at hospital admission was a good predictor of ICU admission. A NEWS2 threshold of 5 had higher sensitivity than a threshold of 7 (72.06% and 29.41%). A point of 7 also had high specificity (99.33% and 63.33%) and a high positive predictive value than a threshold of 5 (95.24% vs. 47.12%). The NEWS2 entries 5 and 7 were related to ICU admission found in multivariate logistic regression analysis. Conclusion: Our results suggest that NEWS2 at hospital admission is a good predictor for ICU admission of COVID-19 patients in Bangladesh. Screening patients at admission with this tool may identify patients at risk of clinical deterioration and help in better management. EWMCJ Vol. 12, No. 1&amp;2, January-July 2024: 60-65

Latent class analysis of hospitalization, ICU admission, and mortality among COVID-19 patients in Iran

Identifying COVID-19 patients’ clinical phenotypes based on characteristics and comorbidities, as well as their differences, helps in terms of clinical care and potential crises. Our goal is to use Latent Class Analysis (LCA) to identify COVID-19 patient profiles based on demographics, symptoms, and comorbidities, and evaluate their correlation with ICU admission, hospitalization duration, and mortality in a cross-sectional study. We included hospitalized patients with positive SARS-CoV-2 tests in two referral hospitals in the south of Iran between January 2020 and July 2021. Data from 7,968 patients were evaluated in two time-specific intervals, known as “stratum,” based on the point at which the COVID-19 fourth peak and vaccinations were nearly initiated. After applying LCA, three classes identified the most at-risk individuals, including elderly women with hypertension, diabetes, and heart disease, and elderly men with heart and lung conditions, compared to two classes of healthier, younger individuals. Hospital stays were longer in the first stratum compared with the second (P-value = 0.043). ICU admission during the first stratum was significantly higher than in the second stratum (P < 0.001) and lower in classes one and two in the first stratum compared to class three (reference class). Mortality rates were not significantly different between strata (P = 0.054). Hospital stays and mortality rates significantly differed between the classes in each first and second stratum (P < 0.001). Using LCA to investigate COVID-19 patients has provided valuable insights into different patterns and outcomes of the disease. Patient variables, including age, gender, and comorbidities, were associated with greater mortality and ICU admission, which can assist in resource allocation and vaccination planning.

Time course of plasma urea and urinary urea excretion in patients with a prolonged ICU stay

Whereas urinary creatinine excretion (UCE) is an established marker of muscle mass, both in critically ill and non-critically ill patients, analysis of urinary urea excretion (UUE) may allow estimation of proteolysis that is associated with critical illness. We evaluated the time courses of plasma urea and creatinine as well UUE and UCE in critically ill patients with a prolonged ICU stay. Our goal was to evaluate changes in plasma urea and creatinine in conjunction with their urinary excretion, to get a better understanding of urea handling in ICU patients. From 2002 to 2021, plasma urea and creatinine, UUE and UCE were determined in routinely obtained 24 h urine samples between ICU admission and day 30, in adult patients with an ICU-stay ≥ 28d. Urea-to-creatinine ratios in plasma and urine were calculated. Patients with stage 3 acute kidney injury (AKI) were excluded. Analyses were performed separately for females and males and for patients with and without acute renal failure to account for respectively differences in muscle mass and impaired renal function. Of 47,120 patients, who were admitted to the ICU between 2002 and 2021, 638 patients met the inclusion criteria. During the first 10 days mean ± SD plasma urea increased from 9.7 ± 6.0 mmol/L at ICU admission to 12.4 ± 7.9 mmol/L (P < 0.001) on day 11 and decreased afterwards with a rate of 0.1 mmol/l/d. UUE peaked at 590 ± 317 mmol/day on day 13 whereas UCE peaked already on day 4. Males had higher plasma urea, plasma creatinine, UUE and UCE than females. Plasma and urinary urea-to-creatinine ratio (UCR) stabilized after day 7, with a gradual increase in plasma UCR and urinary UCR between day 7 and day 30. Similar courses, although less pronounced, were seen in patients without AKI. The course of urea in critically ill patients is characterized by an initial rise of both plasma urea and urinary urea excretion, presumably due to increased catabolism of endogenous and exogenous protein in the first week of ICU admission. Subsequently, UUE and UCE declined steadily in a rate that was comparable to the known loss of muscle mass during ICU admission of approximately 1%/day.

Influence of blood pressure targets on inflammation and associations between inflammatory markers and vasopressor usage after cardiac arrest - a substudy of a randomized clinical trial

Abstract Background Following resuscitation from cardiac arrest, a profound systemic inflammatory response may develop. In observational studies of critically ill patients an association between levels of inflammation and vasopressor usage has been found. Higher levels of inflammation may lead to higher vasopressor needs due to vasoplegia and cardiac dysfunction, however, catecholamines, including vasopressors also have immune modulatory effects. In the Blood Pressure and Oxygenation Targets in Post resuscitation Care (BOX) trial patients were randomized to a high or low blood pressure target, and vasopressor usage was increased in the high blood pressure target group. Therefore, the inflammatory response evoked by cardiac arrest, may have been altered by differences in vasopressor usage according to blood pressure target in this trial. Purpose To determine if differences in vasopressor and inotropy usage associated with randomization to a high compared to a low blood pressure target affects the inflammatory response after OHCA, and to investigate the association between inflammation and vasopressor and inotropy usage. Methods In the BOX trial, comatose OHCA patients with a presumed cardiac etiology were randomized to a blinded intervention of either a high (77mmHg) or a low blood pressure target (63mmHg). The inflammatory markers of leukocytes and CRP were measured at 0, 24, 48, and 72 hours. The average Vasoactive-Inotropic Score (VIS) was determined during initial 72 hours. The associations between average CRP, leukocytes, and VIS during initial 72 hours were determined by Spearman’s correlation analysis. Results The BOX trial included 789 resuscitated comatose OHCA patients, and 788 patients had at least 1 measurement of leukocytes and CRP. The median age was 64 (IQR 54-73), females constituted 19%, 1 year mortality was 36%. There was no difference in leukocytes and CRP at admission between the high and low blood pressure target groups (Figure 1). Leukocytes were slightly higher at 24 hours (p&amp;lt;0.01) in the high blood pressure target group, but no group differences were found at 48 and 72 hours, and CRP levels did not differ at 24, 48, or 72 hours. The average VIS was 19 (11-32) and 11 (5-19), p&amp;lt;0.01, in the two groups, with VIS being consistently higher at all timepoints beyond ICU admission (all p&amp;lt;0.01, data not shown) in patients with a high blood pressure target. Both average CRP and leukocytes were weakly correlated with average VIS at 0-72 hours for both blood pressure targets, r=0.17 and r=0.20, respectively for a high target (both p&amp;lt;0.01), and r=0.17 and r=0.20, respectively for a low target (both p&amp;lt;0.01). Conclusions In conclusion, increased vasopressor and inotropy usage in this randomized, blinded study of blood pressure targets after OHCA, did not lead to clinically relevant changes in inflammation. Inflammatory markers and VIS were correlated to a similar degree for both blood pressure targets.Figure 1, LeukocytesFigure 2, CRP

Classification of 90-day mortality risk among patients with cardiogenic shock requiring advanced mechanical circulatory support

Abstract Background The SCAI shock classification aims to provide a simple and practical stratification of the severity of patients with cardiogenic shock (CS) and to immediately offer them crucial treatments such as mechanical circulatory support (MCS). Additionally, the IABP shock II risk score is designed to predict 30-day mortality in patients with CS following acute coronary syndrome (ACS), and the SAVE score can also predict in-hospital mortality for patients after veno-arterial extracorporeal membrane oxygenation (V-A ECMO) insertion due to refractory CS. However, previous studies on SCAI staging in patients with MCS have been inconsistent, and the association with prognosis remains unclear. Purpose The aim of this study is to investigate the correlation between the SCAI shock stage and prognosis in ACS patients requiring advanced MCS, and to compare it with other prognostic scores. Methods From January 2012 to July 2023, 137 ACS patients with advanced MCS (excluding IABP) were evaluated. Upon ICU admission, patients were categorized into SCAI stages B to E. The IABP shock II score and the SAVE score were also calculated to serve as prognostic tools. The type of MCS was categorized as Impella, VA-ECMO with IABP, and ECPELLA (VA-ECMO with Impella). We compared the 90-day survival rates with the SCAI shock stage and other prognostic tools. Result The distribution for SCAI classifications stage B to E was 13 (10%), 38 (28%), 21 (15%), and 65 (47%), respectively. There were no significant differences among the groups regarding age, gender, comorbidities, the ratio of ST-elevation myocardial infarction, door-to-balloon time, and onset-to-reperfusion time. In SCAI Stage E, a significantly higher proportion of patients (86%) underwent extracorporeal cardiopulmonary resuscitation, exhibiting elevated lactate and peak CK-MB levels, along with higher IABP Shock II and lower SAVE scores, compared to other stages. A Kaplan-Meier analysis of 90-day mortality, based on the SCAI, the IABP Shock II, the SAVE categories, and the type of MCS, demonstrated that outcomes deteriorated as the stage advanced across all classifications. In the univariate Cox regression analysis for 90-day mortality, significant differences in outcomes were observed across the four classifications. However, in the multivariate Cox regression analysis that incorporated all four classifications, only the type of MCS (Impella vs. ECMO with IABP; hazard ratio [HR] 0.36; 95% confidence interval [CI], 0.16 - 0.78, p = 0.012) and the SCAI classification (stage E vs. stage C; HR 3.03; 95% CI, 1.51 - 6.08, p = 0.002) demonstrated a significant association with 90-day mortality. Conclusion The SCAI shock stage upon ICU admission suggests the potential for convenient prediction of mid-term outcomes in ACS patients who received advanced MCS.

Long COVID in the UAE: symptomatology, gender gaps, and health implications among COVID-19 survivors

Abstract Background A growing number of COVID-19 survivors are experiencing symptoms post-SARS-CoV-2 infection, known as long COVID. It is a new multisystem condition and understanding its associated factors and its impact on individuals is crucial. This study aims to characterize long COVID in previously hospitalized patients in the UAE, identifying associated factors and assessing its impact on patients’ daily lives. Methods A multicenter retrospective cohort study was conducted in hospitals in Dubai and Sharjah from January 29, 2020 to October 14, 2021, involving RT-PCR confirmed cases. Clinical, epidemiologic, and long COVID data were collected via hospital records and phone interviews. Results Long COVID affected 48.7% of 533 patients, with 46.6% prevalence persisting over a year. A total of 43 symptoms across 11 organ systems were reported. Females had 1.83 times higher odds of long COVID (95% CI [1.22, 2.74], p = 0.003). Each additional initial symptom (AOR = 1.22, 95% CI [1.05, 1.40], p = 0.008), ICU admission (AOR = 1.77, 95% CI [1.06, 2.98], p = 0.030), and ≥ 2 comorbidities (AOR = 2.19, 95% CI [1.09, 4.40], p = 0.027) increased the odds of long COVID. Long COVID significantly impacted daily life, with poorer health ratings (AOR = 5.576, 95% CI [3.029, 10.265], p &amp;lt; .001), worse health status (AOR = 7.842, 95% CI [4.954, 12.415], p &amp;lt; .001), and work limitations due to physical (AOR = 4.808, 95% CI [3.229, 7.158], p &amp;lt; .001) and emotional issues (AOR = 3.149, 95% CI [2.01, 4.933], p &amp;lt; .001). This impact persisted beyond 12 months post-infection. Conclusions Long COVID presents prolonged multisystem involvement and substantial disability among survivors, necessitating further research to understand its lasting effects and intervention development to mitigate its impact Key messages • Long COVID poses a substantial challenge to public health in the UAE, affecting almost half of hospitalized survivors and extending its impact beyond 12 months post-infection. • Risk factors like gender initial symptoms, ICU stay, and comorbidities increase the risk of long COVID, warranting the need for tailored interventions and support strategies for vulnerable populations.

PREDICTING PATIENT OUTCOMES USING ONE-HOUR ADULT EARLY WARNING SCORE (AEWS)

Early Warning Scores (EWS) are widely utilized tools to predict patient outcomes, particularly in critical care settings and emergency departments (ED). However, while Adult Early Warning Scores (AEWS) have been employed for general patient outcome prediction, the specific utility of a one-hour AEWS in the ED has not been thoroughly explored. Accurate early prediction of patient disposition could enhance clinical decision-making, resource allocation, and patient safety. Objective: This study aims to evaluate the effectiveness of one-hour Adult Early Warning Scores (AEWS) in predicting patient disposition (discharge, floor admission, or ICU admission) in the emergency department. Methods: A prospective observational study was conducted on 227 patients aged 16 years and above who presented to the ED of Shifa International Hospital, Islamabad, from January 2024 to June 2024. Vital signs, including heart rate, respiratory rate, blood pressure, oxygen saturation, and temperature, were recorded at the one-hour mark post-admission, and the one-hour AEWS was calculated. Patient outcomes were categorized into three groups: discharge, admission to the general floor, or admission to the ICU. Logistic regression was used to determine the relationship between one-hour AEWS and patient disposition. Receiver Operating Characteristic (ROC) curve analysis was performed to assess the predictive power of the AEWS for determining patient outcomes. Results: There was a statistically significant correlation between the one-hour AEWS and patient disposition (p&lt;0.001). The ROC curve analysis showed an Area Under the Curve (AUC) of 0.753, demonstrating good predictive accuracy. A cutoff AEWS value of 2.5 was identified, with patients scoring below this threshold being more likely to be discharged, while those scoring above 2.5 were more likely to require hospital admission or ICU care. The sensitivity and specificity of AEWS at this cutoff were 71% and 68%, respectively. Conclusion: The one-hour AEWS has proven to be a valuable tool in predicting patient disposition in the emergency department. Its ability to distinguish between patients who can be safely discharged and those requiring further care highlights its potential utility in improving patient triage, optimizing resource use, and enhancing clinical decision-making. Further multicenter studies are needed to validate these findings and assess the integration of AEWS into routine ED practice.

The role of emergency medicine specialists and general practitioners in yellow zone patient management: A case in the Sakarya Province

AbstractBackgroundEmergency departments in Turkey employ both emergency medicine specialists (EMSs) and general practitioners due to an insufficient number of EMSs. Patients are triaged into green, yellow, and red codes based on urgency. Typically, EMSs manage more critical patients (yellow and red codes), while general practitioners handle less urgent cases (green codes).ObjectiveThis study investigates differences in patient management approaches between EMSs and general practitioners in the yellow zone of an emergency department in the Sakarya Province.MethodThis retrospective, cross‐sectional study was conducted at the Sakarya Training and Research Hospital from 31 December 2020 to 31 December 2021. The study included patients aged 18 and older who were assigned to the yellow zone and discharged by the attending physician. Data on patient monitoring times, consultation requests, hospitalization rates, resource utilization, readmission rates, and hospital revenue contributions were collected and analyzed. Statistical analyses were performed using IBM SPSS version 21, comparing the performance of EMSs and general practitioners.ResultThe study included 59 physicians (14 EMSs and 45 general practitioners) and a large number of patients. EMSs had significantly more experience, shorter consultation request times, and higher ICU admission rates. They also ordered fewer MRIs and USGs per patient and made more consultation requests. There was no significant difference between EMSs and general practitioners in terms of the number of examinations, patient observation times, ward hospitalization rates, CT orders, readmission rates, and hospital revenue contributions.ConclusionEMSs demonstrated more efficient use of emergency department resources, effective consultation processes, and higher ICU admission rates, indicating better patient management. Despite the limited scope of this single‐center study, the findings highlight the importance of EMSs in improving emergency care quality. Further research is needed to validate these results across multiple centers.

Prognostic performance of the Bova, sPESI, and Qanadli scores in patients with acute pulmonary embolism.

Acute pulmonary embolism (PE) is a disease with a serious prognosis and a high probability of death in the emergency department. To investigate the prediction of PE-related mortality and intensive care admission (ICU) of Qanadli (Qscore), Bova, and simplified Pulmonary Embolism Severity Index (sPESI) scores. This retrospective observational study consisted of all patients diagnosed with acute PE who were imaged under computed tomography pulmonary angiography (CTPA) for a total of 5 years between 1 June 2018 and 1 June 2023. The prediction of radiological and clinical scores for mortality and ICU admission was examined. A total of 95 patients were analyzed. Patients who died and those who were admitted to the ICU had a significantly higher frequency of being found to have a high-risk (≥1) sPESI score (P = 0.04 and P = 0.016, respectively). For mortality, the sPESI score was found to be significant; the sensitivity and specificity were observed as 54% and 66% (area under the curve [AUC]=0.670, 95% confidence interval [CI]=0.527-0.814; P = 0.020). For ICU admission, the sensitivity and specificity of the Qscore, sPESI, and Bova scores were 35%, 77%, and 58%, and 78%, 65%, and 84% respectively (AUC=0.626, 95% CI=0.511-0.740, P = 0.031; AUC=0.769, 95% CI=0.674-0.865, P < 0.001; and AUC=0.767, 95% CI=0.671-0.862, P < 0.001, respectively). It was found that the sPESI score was effective at predicting mortality in patients with acute PE. Qscore, sPESI, and Bova scores have been shown to be useful in predicting ICU admission.

Associations Between Physical, Cognitive, and Mental Health Domains of Post-Intensive Care Syndrome and Quality of Life: A Longitudinal Multicenter Cohort Study.

To explore associations between the physical, cognitive, and mental post-intensive care syndrome (PICS) health domains with changes in health-related quality of life (HRQoL) following ICU admission. A longitudinal prospective multicenter cohort study. Patients (n = 4092) from seven Dutch ICUs. None. At ICU admission, 3 and 12 months post-ICU, patients completed validated questionnaires regarding physical health problems, cognitive health problems, mental health problems, and HRQoL. Composite scores were created for the physical health domain (physical problems and fatigue) and mental health domain (anxiety, depression, and post-traumatic stress disorder). Adjusted multivariable linear regression analyses were performed, including covariables (e.g., patient characteristics, disease severity, pre-ICU HRQoL, etc.) to explore associations between the physical, cognitive, and mental health domains of PICS and changes in HRQoL at 3 and 12 months post-ICU. At 3 months (n = 3368), physical health problems (β = -0.04 [95% CI, -0.06 to 0.02]; p < 0.001), cognitive health problems (β = -0.05 [95% CI, -0.09 to -0.02]; p < 0.001), and mental health problems (β = -0.08 [95% CI, -0.10 to -0.05]; p < 0.001) were negatively associated with changes in HRQoL. Also, at 12 months (n = 2950), physical health problems (β = -0.06 [95% CI, -0.08 to -0.03]; p < 0.001), cognitive health problems (β = -0.04 [95% CI, -0.08 to -0.01]; p < 0.015), and mental health problems (β = -0.06 [95% CI, -0.08 to -0.03]; p < 0.001) were negatively associated with changes in HRQoL. PICS symptoms in the physical, cognitive, and mental domains are all negatively associated with changes in HRQoL at 3 and 12 months post-ICU. At 3 months, PICS symptoms in the mental domain seem to have the largest negative associations. At 12 months, the associations of PICS in the mental and physical domains are the same. This implies that daily ICU care and follow-up care should focus on preventing and mitigating health problems across all three PICS domains to prevent a decrease in HRQoL.

Optimal fluid resuscitation targets in septic patients with acutely decompensated heart failure

BackgroundTo determine the optimal fluid resuscitation volume in septic patients with acutely decompensated heart failure (ADHF).MethodsSeptic patients with ADHF were identified from a tertiary urban medical center. The generalized additive models were used to explore the association between fluid resuscitation volume and endpoints, and the initial 3 h fluid resuscitation volume was divided into four groups according to this model: < 10 mL/kg group, ≥ 10 to ≤ 15 mL/kg group, > 15 to ≤ 20 mL/kg group, and > 20 mL/kg group. Logistic and Cox regression models were employed to explore the association between resuscitation volume and primary endpoint, in-hospital mortality, as well as secondary endpoints including 30-day mortality, 1-year mortality, invasive ventilation, and ICU admission.ResultsA total of 598 septic patients with a well-documented history of HF were enrolled in the study; 405 patients (68.8%) had sepsis-induced hypoperfusion. Patients with NYHA functional class III and IV were 494 (83.9%) and 22 (3.74%), respectively. Resuscitation volumes above 20 mL/kg (OR 3.19, 95% CI 1.31–8.15) or below 10 mL/kg (OR 2.33, 95% CI 1.14–5.20) significantly increased the risk of in-hospital mortality in septic patients, while resuscitation volumes between 15 and 20 mL/kg were not associated with the risk of in-hospital death in septic patients (OR 1.79, 95% CI 0.68–4.81). In the multivariable Cox models, the effect of resuscitation volume on 30-day and 1-year mortality in septic patients was similar to the effect on in-hospital mortality. Resuscitation volume exceeds 15 mL/kg significantly increased the risk of tracheal intubation, while fluid resuscitation volume was not associated with ICU admission in the septic patients. In septic patients with hypoperfusion, these fluid resuscitation volumes have similar effects on patient outcomes. This association was consistent across the three subgroups with worsened cardiac function, as well as in sensitivity analyses.ConclusionsOur study observed that an initial fluid resuscitation volume of 10–15 mL/kg in the first 3 h was optimal for early resuscitation in septic patients with ADHF, particularly those with worsened cardiac function. These results need to be confirmed in randomized controlled trials with larger sample sizes.

Management and outcomes of acute appendicitis in children with congenital heart disease.

Congenital heart disease (CHD) care has evolved during the past decades. Advances in care have contributed to improved survival among CHD patients. Children with CHD are requiring interventions for non-CHD related medical issues that occur in the general pediatric population. A retrospective review of the Pediatric Health Information System (PHIS) database from January 1, 2004, to July 31, 2023. Discharges of patients with an admitting/principal diagnosis of appendicitis were evaluated and categorized as CHD or non-CHD. A total of 319,228 patients were identified with 1,25,858(39.4%) female, 1,38,966(43.5%) white, and median age of 11[IQR:8-14] years. 708(0.2%) had CHD with 85(12%) of them having a diagnosis consistent with single-ventricle CHD (SV-CHD). In univariate analysis, CHD patients were more likely to undergo conservative treatment (n = 172(24.2%)vs n = 59,358(18.6%)) and less likely to undergo laparoscopic appendectomy (n = 483(68.2%) vs n = 2,35,324(73.8%))(p < 0.001) compared to non-CHD. After adjustment, CHD patients had increased odds of undergoing open appendectomy compared to non-CHD. CHD patients were more likely to have an ICU admission (OR:8.36(95%CI 6.35-10.00),p < 0.001) and had a 77.6%(95%CI 40.89-123.93) increase in length of stay (LOS) (p < 0.001). CHD patients are more likely to have an open appendectomy than non-CHD patients. These findings suggest a distinctive pattern in the care of CHD patients compared to non-CHD. Overall, CHD patients had a more intense level of care with longer LOS and increased ICU admissions. Further work is needed to evaluate drivers of management decisions, the role of conservative treatment with antibiotics alone in the CHD population, and the potential impacts and safety of a laparoscopic approach.