Temporal trends in critical care utilization and outcomes in allogeneic hematopoietic stem cell transplant recipients.

Historically, the prognosis of allogeneic hematopoietic stem cell transplant (allo-HCT) recipients who require intensive care unit (ICU) admission has been poor. We aimed to describe the epidemiological trends of ICU utilization and outcomes in allo-HCT patients. We conducted a retrospective cohort study including adults (≥ 18) undergoing allo-HCT between 01/01/2005 and 31/12/2020 at Mayo Clinic, Rochester. Temporal trends in outcomes were assessed by robust linear regression modelling. Risk factors for hospital mortality were chosen a priori and assessed with multivariable logistic regression modelling. Of 1,249 subjects, there were 486 ICU admissions among 287 individuals. Although older patients underwent allo-HCT (1.64 [95% CI: 1.11 to 2.45] years per year; P = 0.025), there was no change in ICU utilization over time (P = 0.91). The ICU and hospital mortality rates were 19.2% (55/287) and 28.2% (81/287), respectively. There was a decline in ICU mortality (-0.38% [95% CI: -0.70 to -0.06%] per year; P = 0.035). The 1-year post-HCT mortality for those requiring ICU admission was 56.1% (161/287), with no significant difference over time, versus 15.8% (141/891, 71 missing) among those who did not. The frequency and duration of invasive mechanical ventilation (IMV) declined. In multivariable analyses, higher serum lactate, higher sequential organ failure assessment (SOFA) scores, acute respiratory distress (ARDS), and need for IMV were associated with greater odds of hospital mortality. Over time, rates of ICU utilization have remained stable, despite increasing patient age. Several trends suggest improvement in outcomes, notably lower ICU mortality and frequency of IMV. However, long-term survival remains unchanged. Further work is needed to improve long-term outcomes in this population.

Impact of Delirium Onset and Duration on Mortality in Patients With Cancer Admitted to the ICU.

BACKGROUND: Little is known on the effects of delirium onset and duration on outcome in critically ill patients with cancer. OBJECTIVES: To determine the impact of delirium onset and duration on intensive care unit (ICU) and hospital mortality and length of stay (LOS) in patients with cancer. METHODS: Of the 915 ICU patients admitted in 2018, 371 were included for analysis after excluding for terminal disease, <24-h ICU stay, lack of active cancer and delirium. Delirium was defined as early if onset was within 2 days of ICU admission, late if onset was on day 3 or later, short if duration was 2 days or less, and long if duration was 3 days or longer. Patients were placed into 4 combination groups: early-short, early-long, late-short, and late-long delirium. Multivariate analysis controlling for sex, age, metastatic disease, and predelirium hospital LOS was performed to determine ICU and hospital mortality and LOS. Exploratory analysis of long-term survival was also performed. Restricted cubic splines were performed to confirm the use of 2 days to distinguish between early versus late onset and short versus long duration. RESULTS: A total of 32.9% (n = 122) patients had early-short, 39.1% (n = 145) early-long, 16.2% (n = 60) late-short, and 11.9% (n = 44) late-long delirium. Late-long delirium was independently associated with increased ICU (OR 4.45, CI 1.92-10.30; P < .001) and hospital (OR 2.91, CI 1.37-6.19; P = .005) mortality and longer ICU (OR 1.97, CI 1.58-2.47; P < .001) LOS compared to early-short delirium. Early delirium had better overall survival at 18 months than late delirium. Long-term survival further improved when delirium duration was 2 days or less. Prediction heatmaps confirm the use of a 2-day cutoff. CONCLUSION: Late delirium, especially with long duration, significantly worsens outcome in ICU patients with cancer and should be considered a harbinger of poor overall condition.

Kinetics of Renin Concentrations in Infants Undergoing Congenital Cardiac Surgery.

BACKGROUND: Elevated renin has been shown to predict poor response to standard vasoactive therapies and is associated with poor outcomes in adults. Similarly, elevated renin was associated with mortality in children with septic shock. Renin concentration profiles after pediatric cardiac surgery are unknown. The purpose of this study was to characterize renin kinetics after pediatric cardiac surgery. METHODS: Single-center retrospective study of infants who underwent cardiac surgery with cardiopulmonary bypass (CPB) utilizing serum samples obtained in the perioperative period to measure plasma renin concentrations (pg/mL). Time points included pre-bypass and 1, 4, and 24 h after initiation of CPB. RESULTS: Fifty patients (65% male) with a median age 5 months (interquartile range (IQR) 3.5, 6.5) were included. Renin concentrations peaked 4 h after CPB. There was a significant difference in preoperative and 4 h post-CPB renin concentration (4 h post-CPB vs preoperative: mean difference 100.6, 95% confidence interval (CI) 48.9-152.4, P < .001). Median renin concentration at 24 h after CPB was lower than the preoperative baseline. CONCLUSIONS: We describe renin kinetics in infants after CPB. Future studies based on these data can now be performed to evaluate the associations of elevated renin concentrations with adverse outcomes.

Linking Acute Physiology to Outcomes in the ICU: Challenges and Solutions for Research.

ICU clinicians rely on bedside physiological measurements to inform many routine clinical decisions. Because deranged physiology is usually associated with poor clinical outcomes, it is tempting to hypothesize that manipulating and intervening on physiological parameters might improve outcomes for patients. However, testing these hypotheses through mathematical models of the relationship between physiology and outcomes presents a number of important methodological challenges. These models reflect the theories of the researcher and can therefore be heavily influenced by one's assumptions and background beliefs. Model building must therefore be approached with great care and forethought, because failure to consider relevant sources of measurement error, confounding, coupling, and time dependency or failure to assess the direction of causality for associations of interest before modeling may give rise to spurious results. This paper outlines the main challenges in analyzing and interpreting these models and offers potential solutions to address these challenges.

Unmeasured Organic Anions as Predictors of Clinical Outcomes in Lactic Acidosis due to Sepsis.

Background and Objectives: In lactic acidosis, lactate can only explain 30% of the variance in the anion gap (AG), and the elevated AG not explained by lactate is due to unmeasured organic anions (UOAs). Some studies using less precise surrogates for UOA have suggested that UOA may predict clinical outcomes better than lactate. The aim of this study was to determine whether UOA predicts clinical outcomes better than lactate levels. Design, Setting, Participants, & Measurements: This was a retrospective cohort study of adult ICU patients with sepsis. Baseline AG and albumin measurements were obtained. An albumin-corrected delta AG was calculated. UOAs were estimated using the formula: Delta AG - serum lactate. A multivariate logistic regression model with its respective ROC curve was constructed to explore the relationship between in-hospital mortality, UOA, and lactate. Results: 526 patients were included. In the combined model examining both lactate and UOA, the odds ratio (OR) [95% CI] for predicting ICU length of stay (LOS) was 1.050 [1.029-1.072] and 1.022 [1.009-1.035], respectively; the OR [95% CI] for predicting in-hospital mortality was 1.224 [1.104-1.358] and 0.997 [0.943-1.054], respectively. The ROC curve for in-hospital mortality demonstrated that the Area Under the Curve (AUC) for lactate, UOA, and combined lactate and UOA was 0.7726, 0.7486, and 0.7732, respectively. The AUC for combined lactate and UOA were not statistically significantly higher than the AUC for lactate alone (P .9193). Conclusions: As expected, serum lactate predicted both ICU LOS and in-hospital mortality. UOA did predict ICU LOS, although the reason for this association is not known. UOA did not predict in-hospital mortality based on the OR and the ROC curve's AUC, contrary to some previous studies. However, our study used a more precise quantitative estimate of UOA, including the use of baseline albumin-corrected AG. Prior studies attempting to identify UOA have identified Krebs cycle intermediates including citrate and isocitrate, suggesting that in our study these anions associated with the Krebs cycle contributed to the UOA.

Intensive Care Physician-Led Clearance of the Cervical Spine: A Retrospective Review of the Utility of a Normal Cervical CT Scan for Safe Removal of Hard Collars by Critical Care Physicians.

Background: Cervical spine clearance in intubated patients due to blunt trauma remains contentious. Accumulating evidence suggests that a normal computed tomography (CT) cervical spine can be used to clear the cervical spine and remove the collar in unconscious patients presenting to the emergency department. However, whether this strategy can safely be employed by critical care physicians with intubated patients admitted to the trauma intensive care unit (TICU) with cervical collars in situ, has not been definitively studied. Methods: A retrospective review of 730 intubated victims of trauma who presented to the Level 1 Trauma center of a tertiary hospital was conducted. The rates of missed cervical injuries in patients who had their cervical collars removed by intensive care physicians based on a normal CT scan of the cervical spine, were reviewed. Secondary outcomes included rates of collar-related complications. Results: Three hundred and fifty patients had their cervical collars removed by Trauma ICU doctors based on a high-quality, radiologist-interpreted normal CT cervical spine. Seventy percent of patients were sedated and/or comatose at the time of collar removal. Fifty-one percent of patients had concomitant traumatic brain injury. The average GCS at time of collar removal was 9. The incidence of missed neurological injury discerned clinically at time of both ICU and hospital discharge was nil (negative predictive value 100%). The rate of collar-related complications was 2%. Conclusion: Cervical collar removal by intensive care physicians on TICU following normal CT cervical spine, is safe, provided certain quality conditions related to the CT scan are met. Not removing the collar early may be associated with increased complications. An algorithm is suggested to assist critical care decision-making in this patient cohort.

Prevalence of Frailty in ICU and its Impact on Patients' Outcomes.

Introduction: Frailty describes a state or syndrome of reduced physical, physiologic, and cognitive reserve that increases vulnerability to acute illness. To study the prevalence of frailty in critically ill patients and find its association with resource utilization and short-term intensive care unit (ICU) outcomes. Material and methods: This was a prospective observational study. All adult patients ≥50 years admitted to the ICU were included and frailty was assessed by the clinical frailty score (CFS). Data were collected on demography, coexisting illness, CFS, Acute Physiology and Chronic Health Evaluation II (APACHE-II), and Sequential Organ Failure Assessment Score (SOFA) scores. Patients were followed for 30 days. Outcome data were collected on organ supports provided, duration of ICU and hospital length of stay (LOS), and ICU and 30-day mortality. Results: 137 patients were enrolled in the study. The prevalence of frailty was 38.6%. Frail patients were older and had a more comorbid illness. APACHE-II and SOFA scores were 22.1 ± 7.0 and 7.2 ± 3.29, significantly higher in frail patients, respectively. There was a trend towards higher requirement for organ supports in frail patients. Median ICU and hospital LOS were 8 vs 6 and 20 vs 12 (frail vs nonfrail) days, respectively (p < 0.05). Intensive care unit mortality in frail and nonfrail patients was 28.3% and 23.8%, respectively (p = 0.56). Thirty-day mortality in frail patients was 49%, significantly higher compared with nonfrail patients (28.5%). Conclusion: The prevalence of frailty in ICU patients was high. Frail patients were quite ill on ICU admission, and they had a prolonged ICU and hospital LOS. Increasing frailty score was associated with higher mortality at 30 days. How to cite this article: Kalaiselvan MS, Yadav A, Kaur R, Menon A, Wasnik S. Prevalence of Frailty in ICU and its Impact on Patients' Outcomes. Indian J Crit Care Med 2023;27(5):335-341.

A Longer Route to the PICU Can Lead to a Longer Stay in the PICU: A Single-Center Retrospective Cohort Study.

INTRODUCTION: Admission to the pediatric ICU versus general pediatric floor for patients is a significant triage decision for emergency department physicians. Escalation of care within 24 hours of hospital admission is considered as a quality metric for pediatric E.R. There exists, however, a lack of data to show that such escalation leads to a poor outcome. METHODS: A retrospective cohort study was conducted to compare outcomes of patients who required escalation of care within 24 hours of hospital admission to the pediatric ICU (cases) from 01/01 2015 to 02/28 2019 with those who were directly admitted from emergency department to the PICU (controls). A total of 327 cases were compared to 931 controls. Univariate and multivariable regression analysis was done to compare the length of stay and mortality data. RESULTS: Patients who required escalation of care were significantly younger (median age 1.9 years compared to 4.6 years for controls) and had lower severity of illness score (PIM 3). Cases had a much higher proportion of respiratory diagnosis. ICU length of stay, hospital length of stay and the direct cost was significantly higher for cases compared to controls. This difference persisted for all age groups and respiratory diagnosis. The cost of care, however, was only different for 1-5 years and >5 years age groups. The difference in ICU length of stay (Δ11.1%) and hospital length of stay (Δ7.8%) persisted on multivariate regression analysis after controlling for age, sex, PIM3 score, and diagnostic variables. There was no difference in mortality on the univariate or multivariate analysis between the 2 groups. CONCLUSIONS: Patients who required escalation of care within 24 hours of hospital admissions have more prolonged ICU and hospital stay and potentially increased cost of care. This measure should be considered while making patient disposition decisions in the emergency department.

Relationship Between Body Mass Index and Survival Among Critically Ill Patients With Cirrhosis.

BACKGROUND: Obesity paradox is a phenomenon in which obesity increases the risk of obesity-related chronic diseases but paradoxically is associated with improved survival among obese patients with these diagnoses. OBJECTIVES: The aim of this study was to explore the obesity paradox among critically ill patients with cirrhosis admitted to the Intensive Care Unit. METHODS: A retrospective cohort of 1,143 consecutive patients with cirrhosis admitted to the ICU between January of 2006 and December of 2015 was analyzed. Primary outcome of interest was in-hospital mortality with secondary end points including ICU and short-term mortality at 30 days post ICU admission. RESULTS: Logistic regression with generalized additive models was used, controlling for clinically relevant and statistically significant factors to determine the adjusted relationship between body mass index (BMI) and ICU, post-ICU in-hospital, and 30 day mortality following ICU discharge. ICU and hospital length of stay was similar across all BMI classes. Adjusted ICU mortality was also similar when stratified by BMI. However, a significant reduction in post-ICU hospital mortality was observed in class I and II obese patients with cirrhosis (BMI 30-39.9 kg/m2) compared to normal BMI (OR = 0.41; 95% CI, 0.20 to 0.83; P = 0.014). Similarly, overweight (BMI 25-29.9 kg/m2) and class I and II obese patients with cirrhosis had significantly lower 30-day mortality following ICU discharge (OR = 0.52, 95% CI 0.31 to 0.87; P = 0.014; OR = 0.50, 95% CI 0.29 to 0.86; P = 0.012, respectively) compared to those with normal BMI. CONCLUSION: The signal of obesity paradox is suggested among critically ill patients with cirrhosis.

Delirium and Long-Term Outcomes among Survivors of Extracorporeal Membrane Oxygenation Therapy: A Nationwide Cohort Study in South Korea.

Background: The prevalence of delirium and its association with long-term outcomes of extracorporeal membrane oxygenation (ECMO) therapy have not yet been identified. We aimed to investigate the prevalence of delirium and its associated factors during hospitalization among ECMO survivors. We also examined whether the occurrence of delirium was associated with 1-year all-cause mortality among ECMO survivors. Methods: As a population-based cohort study, data were obtained from the National Health Insurance Service database in South Korea. Adults older than 18 years who received ECMO therapy between 2005 and 2018 were included in this study. ECMO survivors were defined as patients who were discharged from the hospital. Results: The analysis included a total of 8153 ECMO survivors, of whom 551 (6.8%) experienced delirium during hospitalization. Older age (odds ratio [OR]: 1.01, 95% confidence interval [CI]: 1.00-1.02; P = 0.004), male sex (OR: 1.38, 95% CI: 1.13-1.68; P = 0.002), underlying depression (OR: 1.90, 95% CI: 1.49-2.41; P < 0.001), and longer length of hospital stay (OR: 1.02, 95% CI: 1.02-1.03; P < 0.001) were associated with a higher incidence of delirium. In multivariable Cox regression modeling, the occurrence of delirium was not significantly associated with the risk of 1-year all-cause mortality (hazard ratio: 0.90, 95% CI: 0.76-1.07; P = 0.229). Conclusion: The prevalence of delirium among ECMO survivors during hospitalization was 6.8% in South Korea, and old age, male sex, longer duration of hospital stay, and underlying depression were associated with it. However, there was no significant association between delirium and 1-year all-cause mortality among ECMO survivors.

Intensive Care Unit and Hospital Outcomes of Patients Admitted with Blastomycosis: A 14-Year Retrospective Study.

INTRODUCTION: Blastomycosis is an uncommon; potentially life-threatening granulomatous fungal infection. The aim of this study is to report hospital and intensive care unit (ICU) outcomes of patients admitted with blastomycosis. METHODS: All patients admitted for treatment of blastomycosis at the Mayo Clinic-Rochester, Minnesota between 01/01/2006 and 09/30/2019 were included. Demographics, comorbidities, clinical presentation, ICU admission, and outcomes were reviewed. RESULTS: A total of 84 Patients were identified with 90 unique hospitalizations primarily for blastomycosis. The median age at diagnosis was 49 (IQR 28.1-65, range: 6-85) years and 56 (66.7%) were male. The most frequent comorbidities included hypertension (n = 28, 33.3%); immunosuppressed state (n = 25, 29.8%), and diabetes mellitus (n = 21, 25%). The lungs were the only organ involved in 56 (66.7%) cases and the infection was disseminated in 19 (22.6%) cases. A total of 29 patients (34.5%) underwent ICU admission due to complications of blastomycosis. ICU related events included mechanical ventilation (n = 20, 23.8%), acute respiratory distress syndrome (ARDS) (n = 13, 15.5%), tracheostomy (n = 9, 10.7%), renal replacement therapy (n = 8, 9.5%), and extracorporeal membrane oxygenation (ECMO) (n = 4, 4.8%). A total of 12 patients (14.3%) died in the hospital; all of whom had undergone ICU admission. In-hospital mortality was associated with renal replacement therapy (RRT) (P = 0.0255). CONCLUSION: Blastomycosis is a serious, potentially life-threatening infection that results in significant morbidity and mortality with a 34.5% ICU admission rate. RRT was associated with in-hospital mortality.

Patient care in rapid-expansion intensive care units during the COVID-19 pandemic crisis.

BACKGROUND: The coronavirus-2019 (COVID-19) pandemic highlighted the unfortunate reality that many hospitals have insufficient intensive care unit (ICU) capacity to meet massive, unanticipated increases in demand. To drastically increase ICU capacity, NewYork-Presbyterian/Weill Cornell Medical Center modified its existing operating rooms and post-anaesthesia care units during the initial expansion phase to accommodate the surge of critically ill patients. METHODS: This retrospective chart review examined patient care in non-standard Expansion ICUs as compared to standard ICUs. We compared clinical data between the two settings to determine whether the expeditious development and deployment of critical care resources during an evolving medical crisis could provide appropriate care. RESULTS: Sixty-six patients were admitted to Expansion ICUs from March 1st to April 30th, 2020 and 343 were admitted to standard ICUs. Most patients were male (70%), White (30%), 45-64 years old (35%), non-smokers (73%), had hypertension (58%), and were hospitalized for a median of 40 days. For patients that died, there was no difference in treatment management, but the Expansion cohort had a higher median ICU length of stay (q = 0.037) and ventilatory length (q = 0.015). The cohorts had similar rates of discharge to home, but the Expansion ICU cohort had higher rates of discharge to a rehabilitation facility and overall lower mortality. CONCLUSIONS: We found no significantly worse outcomes for the Expansion ICU cohort compared to the standard ICU cohort at our institution during the COVID-19 pandemic, which demonstrates the feasibility of providing safe and effective care for patients in an Expansion ICU.

Pleural Effusions Following Liver Transplantation: A Single-Center Experience.

INTRODUCTION: This was a single-center retrospective study to evaluate incidence, prognosis, and risk factors in patients with postoperative pleural effusions, a common pulmonary complication following liver transplantation. METHODS: A retrospective review was performed on 374 liver transplantation cases through a database within the timeframe of January 1, 2009 through December 31, 2015. Demographics, pulmonary and cardiac function testing, laboratory studies, intraoperative transfusion/infusion volumes, postoperative management, and outcomes were analyzed. RESULTS: In the immediate postoperative period, 189 (50.5%) developed pleural effusions following liver transplantation of which 145 (76.7%) resolved within 3 months. Those who developed pleural effusions demonstrated a lower fibrinogen (149.6 ± 66.3 mg/dL vs 178.4 ± 87.3 mg/dL; P = .009), total protein (5.8 ± 1.0 mg/dL vs 6.1 ± 1.2 mg/dL; P = .04), and hemoglobin (9.8 ± 1.8 mg/dL vs 10.3 ± 1.9 mg/dL; P = .004). There was not a statistically significant difference in 1-year all-cause mortality and in-hospital mortality between liver transplant recipients with and without pleural effusions. Liver transplant recipients who developed pleural effusions had a longer hospital length of stay (16.4 ± 10.9 days vs 14.0 ± 16.5 days; P = .1), but the differences were not statistically significant. However, there was a significant difference in tracheostomy rates (11.6% vs 5.4%; P = .03) in recipients who developed pleural effusions compared to recipients who did not. CONCLUSIONS: In summary, pleural effusions are common after liver transplantation and are associated with increased morbidity. Pre- and intraoperative risk factors can offer both predictive and prognostic value for post-transplantation pleural effusions. Further prospective studies will be needed to further evaluate the relevance of these findings to limit instances of postoperative pleural effusions.

The Impact of Nighttime on First Pass Success During the Emergent Endotracheal Intubation of Critically Ill Patients.

BACKGROUND: While numerous investigations have described worse outcomes for patients undergoing emergent procedures at night, few studies have investigated the impact of nighttime on the outcomes of emergent endotracheal intubation (EEI). We hypothesized that for patients requiring EEI at night, the outcome of first pass success would be lower as compared to during the day. METHODS: We performed a retrospective cohort study of all patients admitted to our institution between January 1st, 2016 and July 17st, 2019 who underwent EEI outside of an emergency department or operating room. Nighttime was defined as between 7:00 pm and 6:59 am. The primary outcome was the rate of first pass success. Logistic regression was utilized with adjustment for demographic, morbidity and procedure related covariables. RESULTS: The final examined cohort included 1,674 EEI during the day and 1,229 EEI at night. The unadjusted rate of first pass success was not different between the day and night (77.5% vs. 74.6%, unadjusted odds ratio (OR): 0.85; 95% confidence interval (CI): 0.72, 1.0; P = 0.073 though following adjustment for prespecified covariables the odds of first pass success was lower at night (adjusted OR: 0.83, 95% CI: 0.69, 0.99; P = 0.042. Obesity was found to be an effect modifier on first pass success rate for day vs. night intubations. In obese patients, nighttime intubations had significantly lower odds of first pass success (adjusted OR: 0.71, 95% CI: 0.52, 0.98; P = 0.037). DISCUSSION: After adjustment for patient and procedure related factors, we have found that the odds of first pass success is lower at night as compared to the day. This finding was, to some degree, driven by obesity which was found to be a significant effect modifier in this relationship.

Epidemiology and Predictors of Long-Stays in Medical ICU: A Retrospective Cohort Study.

INTRODUCTION: Prolonged stays in ICU have been associated with overconsumption of resources but little is known about their epidemiology. We aimed to identify predictors and prognostic factors of extended stays, studying a long-stay population. METHODS: We present a retrospective cohort study between July 2000 and December 2013 comparing patients hospitalized in a medical ICU for ≥30 days (long-stay patients-LSP) with patients hospitalized for <30 days (short-stay patients-SSP). Admission characteristics were collected from the local database for every patient and evolution during the ICU stay was retrieved from LSP files. RESULTS: Among 8906 patients hospitalized in the ICU, 417 (4.7%) were LSP. At admission, male sex (adjusted odds-ratio (aOR) 1.4 [1.1; 1.7]), inpatient (aOR 2.0 [1.6; 2.4]) and in-ICU hospitalizations for respiratory (aOR 2.9 [1.6; 3.5]) or infectious diseases (aOR 1.6 [1.1; 2.5]) were all independently associated with a long stay in the ICU, while hospitalizations for metabolic (aOR 0.2 [0.1; 0.5]) or cardiovascular diseases (aOR 0.3 [0.2; 0.5]) were in favor of a short stay. In-ICU and in-hospital LSP mortality were 38.8% and 48.2%. Age (aOR 1.02 [1.00-1.04]), catecholamines (aOR 3.9 [1.9; 8.5]), renal replacement therapy (aOR 2.4 [1.3; 4.3]), primary disease-related complications (aOR 2.5 [1.4; 4.6]) and nosocomial infections (aOR 4.1 [1.8; 10.1]) were independently associated with mortality in LSP. CONCLUSION: LSP were highly comorbid patients mainly hospitalized for respiratory diseases. Their mortality was mostly related to nosocomial infections but the majority were discharged alive from the hospital.

An Innovative Individual-Level Socioeconomic Measure Predicts Critical Care Outcomes in Older Adults: A Population-Based Study.

BACKGROUND: Little is known about the impact of socioeconomic status (SES) as a key element of social determinants of health on intensive care unit (ICU) outcomes for adults. OBJECTIVE: We assessed whether a validated individual SES index termed HOUSES (HOUsing-based SocioEconomic status index) derived from housing features was associated with short-term outcomes of critical illness including ICU mortality, ICU-free days, hospital-free days, and ICU readmission. METHODS: We performed a population-based cohort study of adult patients living in Olmsted County, Minnesota, admitted to 7 intensive care units at Mayo Clinic from 2011 to 2014. We compared outcomes between the lowest SES group (HOUSES quartile 1 [Q1]) and the higher SES group (HOUSES Q2-4). We stratified the cohort based on age (<50 years old and ≥50 years old). RESULTS: Among 4134 eligible patients, 3378 (82%) patients had SES successfully measured by the HOUSES index. Baseline characteristics, severity of illness, and reason for ICU admission were similar among the different SES groups as measured by HOUSES except for larger number of intoxications and overdoses in younger patients from the lowest SES. In all adult patients, there were no overall differences in mortality, ICU-free days, hospital-free days, or ICU readmissions in patients with higher SES compared to lower SES. Among older patients (>50 years), those with higher SES (HOUSES Q2-4) compared to those with lower SES (HOUSES Q1) had lower mortality rates (hazard ratio = 0.72; 95% CI: 0.56-0.93; adjusted P = .01), increased ICU-free days (mean 1.08 days; 95% CI: 0.34-1.84; adjusted P = .004), and increased hospital-free days (mean 1.20 days; 95% CI: 0.45-1.96; adjusted P = .002). There were no differences in ICU readmission rates (OR = 0.74; 95% CI: 0.55-1.00; P = .051). CONCLUSION: Individual-level SES may be an important determinant or predictor of critical care outcomes in older adults. Housing-based socioeconomic status may be a useful tool for enhancing critical care research and practice.

Survival of COVID-19 Patients With Respiratory Failure is Related to Temporal Changes in Gas Exchange and Mechanical Ventilation.

Background: Respiratory failure due to coronavirus disease of 2019 (COVID-19) often presents with worsening gas exchange over a period of days. Once patients require mechanical ventilation (MV), the temporal change in gas exchange and its relation to clinical outcome is poorly described. We investigated whether gas exchange over the first 5 days of MV is associated with mortality and ventilator-free days at 28 days in COVID-19. Methods: In a cohort of 294 COVID-19 patients, we used data during the first 5 days of MV to calculate 4 daily respiratory scores: PaO2/FiO2 (P/F), oxygenation index (OI), ventilatory ratio (VR), and Murray lung injury score. The association between these scores at early (days 1-3) and late (days 4-5) time points with mortality was evaluated using logistic regression, adjusted for demographics. Correlation with ventilator-free days was assessed (Spearman rank-order coefficients). Results: Overall mortality was 47.6%. Nonsurvivors were older (P < .0001), more male (P = .029), with more preexisting cardiopulmonary disease compared to survivors. Mean PaO2 and PaCO2 were similar during this timeframe. However, by days 4 to 5 values for all airway pressures and FiO2 had diverged, trending lower in survivors and higher in nonsurvivors. The most substantial between-group difference was the temporal change in OI, improving 15% in survivors and worsening 11% in nonsurvivors (P < .05). The adjusted mortality OR was significant for age (1.819, P = .001), OI at days 4 to 5 (2.26, P = .002), and OI percent change (1.90, P = .02). The number of ventilator-free days correlated significantly with late VR (-0.166, P < .05), early and late OI (-0.216, P < .01; -0.278, P < .01, respectively) and early and late P/F (0.158, P < .05; 0.283, P < .01, respectively). Conclusion: Nonsurvivors of COVID-19 needed increasing intensity of MV to sustain gas exchange over the first 5 days, unlike survivors. Temporal change OI, reflecting both PaO2 and the intensity of MV, is a potential marker of outcome in respiratory failure due to COVID-19.

Epidemiology and Predictors of Hospital Outcomes of Critically Ill Pediatric Oncology Patients: A Retrospective Study.

BACKGROUND: The number of pediatric oncology patients admitted to the intensive care unit (ICU) has increased, and their hospital outcomes are improving. Since scarce data are available about this patient population, we conducted this retrospective study to evaluate the epidemiology and predictors of hospital outcomes. MATERIALS AND METHODS: We included all children with cancers who were admitted to our ICU over 1 year. We excluded children admitted after elective surgery and those following bone marrow transplant. We collected data about demographics, admission diagnosis, type of malignancies, and ICU interventions. The primary outcome was the hospital outcome. The secondary outcomes were ICU length of stay (LOS), and ICU and hospital mortality. We analyzed the predictors of hospital outcome. RESULTS: Two hundred pediatric oncology patients were admitted from November 1, 2014 to October 30, 2015. Seventy-eight children had solid organ malignancies, and the rest had hematological malignancies. Hematooncology malignancy patients had significantly higher hospital mortality than those with solid organ malignancies. (61.5 vs 34.6%, p = 0.015). On multivariate regression analysis, mechanical ventilation [odds ratio (OR), 14.64; 95% confidence interval (CI): 1.23-165.05; p <0.030], inotropes (OR, 9.81; 95% CI: 1.222-78.66; p <0.032), and the presence of coagulopathy (OR, 3.86; 95% CI: 1.568-9.514; p <0.003) were independent predictors of hospital mortality. CONCLUSION: In this retrospective cohort of 200 children with malignancies, we found that children with hematologic cancer had significantly higher hospital mortality as compared to those with solid tumors. The need for mechanical ventilation, use of inotrope infusion, and coagulopathy were independent predictors of mortality. HOW TO CITE THIS ARTICLE: Bhosale SJ, Joshi M, Patil VP, Kothekar AT, Myatra SN, Divatia JV, et al. Epidemiology and Predictors of Hospital Outcomes of Critically Ill Pediatric Oncology Patients: A Retrospective Study. Indian J Crit Care Med 2021;25(10):1183-1188.

Frailty, delirium and hospital mortality of older adults admitted to intensive care: the Delirium (Deli) in ICU study.

BACKGROUND: Clinical frailty among older adults admitted to intensive care has been proposed as an important determinant of patient outcomes. Among this group of patients, an acute episode of delirium is also common, but its relationship to frailty and increased risk of mortality has not been extensively explored. Therefore, the aim of this study was to explore the relationship between clinical frailty, delirium and hospital mortality of older adults admitted to intensive care. METHODS: This study is part of a Delirium in Intensive Care (Deli) Study. During the initial 6-month baseline period, clinical frailty status on admission to intensive care, among adults aged 50 years or more; acute episodes of delirium; and the outcomes of intensive care and hospital stay were explored. RESULTS: During the 6-month baseline period, 997 patients, aged 50 years or more, were included in this study. The average age was 71 years (IQR, 63-79); 55% were male (n = 537). Among these patients, 39.2% (95% CI 36.1-42.3%, n = 396) had a Clinical Frailty Score (CFS) of 5 or more, and 13.0% (n = 127) had at least one acute episode of delirium. Frail patients were at greater risk of an episode of delirium (17% versus 10%, adjusted rate ratio (adjRR) = 1.71, 95% confidence interval (CI) 1.20-2.43, p = 0.003), had a longer hospital stay (2.6 days, 95% CI 1-7 days, p = 0.009) and had a higher risk of hospital mortality (19% versus 7%, adjRR = 2.54, 95% CI 1.72-3.75, p < 0.001), when compared to non-frail patients. Patients who were frail and experienced an acute episode of delirium in the intensive care had a 35% rate of hospital mortality versus 10% among non-frail patients who also experienced delirium in the ICU. CONCLUSION: Frailty and delirium significantly increase the risk of hospital mortality. Therefore, it is important to identify patients who are frail and institute measures to reduce the risk of adverse events in the ICU such as delirium and, importantly, to discuss these issues in an open and empathetic way with the patient and their families.

Prevalence and Predictors of Deep Vein Thrombosis in Critically Ill Medical Patients Who Underwent Diagnostic Duplex Ultrasonography.

INTRODUCTION: Deep vein thrombosis (DVT) is a recognized but preventable cause of morbidity and mortality in the medical intensive care unit (MICU). We examined the prevalence and risk factors for DVT in MICU patients who underwent diagnostic venous duplex ultrasonography (DUS) and the potential effect on clinical outcomes. METHODS: This is a retrospective study examining prevalence of DVT in 678 consecutive patients admitted to a tertiary care level academic MICU from July 2014 to 2015. Patients who underwent diagnostic DUS were included. Potential conditions of interest were mechanical ventilation, hemodialysis, sepsis, Sequential Organ Failure Assessment (SOFA) scores, central venous catheters, prior DVT, and malignancy. Primary outcomes were pulmonary embolism, ICU length of stay, and mortality. Additionally, means of thromboprophylaxis was compared between the groups. Multivariable logistic regression analysis was utilized to determine predictors of DVT occurrence. RESULTS: Of the 678 patients, 243 (36%) patients underwent DUS to evaluate for DVT. The prevalence of DVT was 16% (38) among tested patients, and a prior history of DVT was associated with DVT prevalence (P < .01). Between cases and controls, there were no significant differences in central venous catheters, mechanical ventilation, hemodialysis, sepsis, SOFA scores, malignancy, and recent surgery. Patients receiving chemical prophylaxis had fewer DVTs compared to persons with no prophylaxis (14% vs 29%; P = .01) and persons with dual chemical and mechanical prophylaxis (P = 0.1). Fourteen percent of patients tested had documented DVT while on chemoprophylaxis. There were no significant differences in ICU length of stay (P = .35) or mortality (P = .34). CONCLUSIONS: Despite the appropriate use of universal thromboprophylaxis, critically ill nonsurgical patients still demonstrated high rates of DVT. A history of DVT was the sole predictor for development of proximal DVT on DUS testing. Dual chemical and mechanical prophylaxis does not appear to be superior to single-chemical prophylaxis in DVT prevention in this population.