Index Intensive Care Unit Admission Research Articles

Characteristics, Complications, and Outcomes of Critical Illness in Patients with Parkinson Disease.

Adults with Parkinson disease (PD) are hospitalized at higher rates than age-matched controls, and these hospitalizations are associated with significant morbidity. However, little is known about the consequences of critical illness requiring intensive care unit (ICU)-level care in patients with PD. The aim of this study was to define the characteristics and outcomes of adults with PD admitted to the ICU. We performed a retrospective nested case-control study using the Medical Information Mart for Intensive Care IV data set. Adults with PD were identified, and the index ICU admission for these subjects was matched 1:4 with index ICU admissions without a PD diagnosis based on age, sex, comorbidities, illness severity, ICU type, and need for mechanical ventilation. Primary outcomes were in-hospital mortality and discharge location. Secondary outcomes were length of stay and prespecified complications. A total of 630 adults with PD were identified. Patients with PD were older and were more likely to be male, have more comorbidities, and have higher illness severity at presentation. A matched analysis revealed adults with PD did not have a significant difference in in-hospital mortality but were more likely to be discharged to ahigher level of care. Adults with PD had longer hospital lengths of stay and increased odds of delirium, pressure ulcers, and ileus. During critical illness, patients with PD are at increased risk for longer hospital lengths of stay and complications and require a higher level of care at discharge than matched controls. These findings reveal targets for interventions to improve outcomes for patients with PD and may inform discussions about goals of care in this population.

Outcomes and Long-Term Survival of Adolescent and Young Adult Patients Admitted to the Intensive Care Unit Following Allogeneic Hematopoietic Stem Cell Transplantation: A Single-Center Experience of 152 Patients.

Prognostic factors reliably predicting outcomes for critically ill adolescent and young adult (AYA) patients undergoing allogeneic hematopoietic cell transplantation (allo-HSCT) are lacking. We assessed transplant and intensive care unit (ICU)-related factors impacting patient outcomes. AYA patients who underwent allo-HSCT and required ICU admission at a Tertiary care Centre, during the period of 2003-2013, were included in this retrospective review. This was a non-interventional study. Only outcomes after the first allo-HSCT and index ICU admissions were analyzed. Disease-, transplant-, and ICU-related variables were analyzed to identify risk factors predictive of survival. Overall, 152 patients were included (males, 60.5%); median age at transplantation was 24 years (interquartile range [IQR] 18-32.5); median age at admission to the ICU was 25.8 years (IQR 19-34). Eighty-four percent underwent transplantation for a hematological malignancy; 129 (85%) received myeloablative conditioning. Seventy-one percent of ICU admissions occurred within the first year after allo-HSCT. ICU admission was primarily due to respiratory failure (47.3%) and sepsis (43.4%). One hundred and three patients (68%) died within 28 days of ICU admission. The 1- and 5-year overall survival rates were 19% and 17%, respectively. Main causes for ICU-related death were refractory septic shock with multiorgan failure (n = 49, 32%) and acute respiratory distress syndrome (ARDS) (n = 39, 26%). Univariate analysis showed that ICU mortality was associated with an Acute Physiology and Chronic Health Evaluation (APACHE) II score >20, a sequential organ failure assessment (SOFA score) > 12, a high lactate level, anemia, thrombocytopenia, leukopenia, hyperbilirubinemia, a high international normalized ratio (INR) and acute graft-versus-host disease (GVHD). Multivariate analysis identified thrombocytopenia, high INR, and acute GVHD as independent predictors of mortality. In AYA allo-HSCT patients admitted to the ICU, mortality remains high. Higher SOFA and APACHE scores, the need for organ support, thrombocytopenia, coagulopathy, and acute GVHD predict poor outcomes.

Long-Term Follow-Up of Kidney Function after Acute Liver Failure or Acute Liver Injury: A Cohort Study

Introduction: Acute liver failure (ALF) is a rare disease with high mortality. Acute kidney injury (AKI) following ALF is frequent. We assessed AKI impact on long-term kidney function among ALF survivors. Methods: Observational cohort study including consecutive adult (age ≥16 years) patients with ALF or acute liver injury (ALI) admitted to a Portuguese tertiary center intensive care unit (ICU) between October 2013 and February 2020. KDIGO criteria were used to define AKI and chronic kidney disease (CKD). Primary outcome was the estimated glomerular filtration rate (eGFR), defined by the Chronic Kidney Disease Epidemiology Collaboration formula, at least 1 year after index ICU admission. Results: Among 104 patients with ALF (n = 74) or ALI (n = 30), mean (SD) age was 43.7 (18.0) years, and 44 were male. Among all patients (n = 104), following adjustment for age and SOFA score, AKI during the first 7 ICU days (n AKI = 57 and n renal replacement therapy [RRT] = 32) was independently associated with all-cause mortality (adjusted HR [95% CI] 11.61 [1.49–90.34]; p = 0.019). Among hospital survivors with long-term kidney function available (n = 56), median (interquartile range) >1 year eGFR was 95.3 (75.0–107.7) mL/min/1.73 m2 (mean [SD] follow-up of 3.1 [1.6] years). Among these hospital survivors, following adjustment for baseline eGFR, AKI during the first 7 ICU days (n AKI = 19 and n RRT = 10) was not associated with >1 year eGFR (p = 0.15). At least 1 year after index ICU admission, 5 patients developed CKD, none RRT-dependent. Conclusions: Among ALF or ALI survivors, AKI was not associated with significant long-term loss of kidney function.

Study protocol for TARGET protein: The effect of augmented administration of enteral protein to critically ill adults on clinical outcomes: A cluster randomised, cross-sectional, double cross-over, clinical trial

BackgroundIt is unknown whether increasing dietary protein to 1.2–2.0 g/kg/day as recommended in international guidelines compared to current practice improves outcomes in intensive care unit (ICU) patients. The TARGET Protein trial will evaluate this. ObjectiveTo describe the study protocol for the TARGET Protein trial. Design, setting, and participantsTARGET Protein is a cluster randomised, cross-sectional, double cross-over, pragmatic clinical trial undertaken in eight ICUs in Australia and New Zealand. Each ICU will be randomised to use one of two trial enteral formulae for three months before crossing over to the other formula, which is then repeated, with enrolment continuing at each ICU for 12 months. All patients aged ≥16 years in their index ICU admission commencing enteral nutrition will be eligible for inclusion. Eligible patients will receive the trial enteral formula to which their ICU is allocated. The two trial enteral formulae are isocaloric with a difference in protein dose: intervention 100g/1000 ml and comparator 63g/1000 ml. Staggered recruitment commenced in May 2022. Main outcomes measuresThe primary outcome is days free of the index hospital and alive at day 90. Secondary outcomes include days free of the index hospital at day 90 in survivors, alive at day 90, duration of invasive ventilation, ICU and hospital length of stay, incidence of tracheostomy insertion, renal replacement therapy, and discharge destination. ConclusionTARGET Protein aims to determine whether augmented enteral protein delivery reduces days free of the index hospital and alive at day 90. Trial registrationAustralian New Zealand Clinical Trials Registry (ACTRN12621001484831).

Biological age as a predictor of unplanned intensive care readmission during the same hospitalization

BackgroundBiological age is increasingly being recognized as an important predictor of health but its utility in acute care setting remains uncertain. ObjectiveWe assessed whether biological age on intensive care unit (ICU) admission can predict unplanned ICU readmission during the same hospitalization. MethodsThe Levine PhenoAge model based on biomarkers of DNA methylation was used to determine each patient's biological age. The difference between PhenoAge and chronological age was indexed to the local context by regressing PhenoAge on chronological age using linear regression. A positive residual implied one's biological age was older than the corresponding chronological age compared to other patients — defined as PhenoAgeAccel. ResultsOf the 2950 patients included, 153 (5.2%) had unplanned ICU readmission. Chronological age, Acute Physiology and Chronic Health Evaluation II score, the use of mechanical ventilation, vasopressor, or renal replacement therapy were not significantly different between those with and without readmission. PhenoAgeAccel was, however, more common among those who had unplanned ICU readmission (52% vs 43%, p =0.031). Quantitatively, the degree of phenotypical age above chronological age exhibited a ‘dose-related’ relationship with the risk of readmission (odds ratio 1.12, 95% confidence interval 1.01-1.24; p=0.040) after adjusting for chronological age, comorbidities, and severity of acute illness in the index (first) ICU admission. ConclusionBiological age was predictive of unplanned ICU readmission during the same hospitalization.

Serum renin and major adverse kidney events in critically ill patients: a multicenter prospective study

BackgroundPreliminary studies have suggested that the renin-angiotensin system is activated in critical illness and associated with mortality and kidney outcomes. We sought to assess in a larger, multicenter study the relationship between serum renin and Major Adverse Kidney Events (MAKE) in intensive care unit (ICU) patients.MethodsProspective, multicenter study at two institutions of patients with and without acute kidney injury (AKI). Blood samples were collected for renin measurement a median of 2 days into the index ICU admission and 5–7 days later. The primary outcome was MAKE at hospital discharge, a composite of mortality, kidney replacement therapy, or reduced estimated glomerular filtration rate to ≤ 75% of baseline.ResultsPatients in the highest renin tertile were more severely ill overall, including more AKI, vasopressor-dependence, and severity of illness. MAKE were significantly greater in the highest renin tertile compared to the first and second tertiles. In multivariable logistic regression, this initial measurement of renin remained significantly associated with both MAKE as well as the individual component of mortality. The association of renin with MAKE in survivors was not statistically significant. Renin measurements at the second time point were also higher in patients with MAKE. The trajectory of the renin measurements between time 1 and 2 was distinct when comparing death versus survival, but not when comparing MAKE versus those without.ConclusionsIn a broad cohort of critically ill patients, serum renin measured early in the ICU admission is associated with MAKE at discharge, particularly mortality.

Anaemia among intensive care unit survivors and association with days alive and at home: an observational study.

Anaemia is highly prevalent at the time of intensive care unit discharge and is persistent for a high proportion of intensive care unit survivors. Whether anaemia is a driver of impaired recovery after critical illness is uncertain. The aim of this study was to test the hypothesis that, in adult intensive care survivors, anaemia at the time of intensive care unit discharge independently predicts decreased days at home-90. This retrospective cohort study was conducted in a tertiary intensive care unit in Perth, Western Australia. All patients aged ≥16years, discharged alive from their index intensive care unit admission and without documented treatment limitations were included. Median (IQR [range]) age of the 6358 participants was 61 (46-72 [16-95]) years and included 3385 (53.2%) unplanned admissions. Intensive care unit discharge with a haemoglobin concentration <100g.l-1 occurred in 2886 (45.4%) patients, a threshold that identified a cohort with significantly lower days at home-90 (median (IQR [range]) 80 (64-85 [0-90]) days vs. 85 (77-88 [0-90]) days (median difference 5days, 95%CI 4.4-5.5, p<0.0001). The association followed a severity-response relationship with more severe anaemia predicting lower days at home-90. When accounting for prespecified covariates including admission haemoglobin concentration and red blood cell transfusion, anaemia at intensive care unit discharge remained a significant predictor of decreased days at home-90, relative risk 0.96 (0.93-0.98), p<0.002. These findings support the need for interventional trials investigating whether this risk is modifiable.

Comorbidities and Readmissions in Survivors of Acute Hypercapnic Respiratory Failure.

Chronic obstructive pulmonary disease (COPD) is defined by chronic airflow obstruction, but is presently considered as a complex, heterogeneous, and multicomponent disease in which comorbidities and extrapulmonary manifestations make important contributions to disease expression. COPD-related hospital readmission. In particular frequent intensive care unit (ICU) readmissions for exacerbations represent a major challenge and place a high burden on patient outcomes and health-related quality of life, as well as on the healthcare system.In this narrative review, we first address major and often undiagnosed comorbidities associated with COPD that could have an impact on hospital readmission after an index ICU admission for acute hypercapnic respiratory failure. Some guidance for treatment is discussed. Second, we present predictors of hospital and ICU readmission and discuss various strategies to reduce such events.There is a strong rationale to detect and treat major comorbidities early after index ICU admission for acute hypercapnic respiratory failure. It still remains unclear, however, if a comprehensive and holistic approach to comorbidities in frail patients surviving hypercapnic respiratory failure can efficiently reduce the readmission rate.

Length of Stay in the Intensive Care Unit during Index Admission for Left Ventricular Assist Device and Total Artificial Heart Insertion is a Risk Factor for Infection

Purpose Each admission to the intensive care unit (ICU) carries a risk of infection, with worldwide prevalence of infections in ICU patients estimated to be as high as 51.4%. For patients with left ventricular assist devices (LVAD), and total artificial hearts (TAH), blood stream infection (BSI) can lead to death and other long-term sequelae. The aim was to determine whether length of stay (LOS) in ICU post insertion of mechanical circulatory support (MCS) is an important seeding time that predisposes to infection despite aggressive pre-operative antibiotic prophylaxis. To determine whether return to ICU during the index admission increases the risk of infection or whether index ICU admission effects outcome. Methods This is a retrospective single center study of patients with a LVAD or TAH inserted between February 2003 and December 2016. Patients were included if they had available data for index ICU admission. Subsequent return to ICU during the same hospital admission was recorded as well as overall ICU LOS. To determine the significance of the index ICU admission, total ICU LOS minus first ICU admission LOS was reviewed. Results A total of 171 (LVAD 147, BIVAD 13, TAH 7) patients were included. Patients were well matched at baseline for age, sex and INTERMACS score. Median ICU LOS in days for admission 1 post LVAD insertion in the BSI-free group was 7 (IQR 4-15) compared with 10 (IQR 5.25-26.5) in the BSI group (p =0.02). Overall ICU LOS for all ICU admissions during the total hospital admission post MCS insertion was 9 (IQR 6-21) in the BSI-free group compared with 13.5 (IQR 8-33.5) days in the BSI group (p=0.01). Total ICU LOS minus first admission LOS was 7 (IQR 3-13.5) in the BSI-free group compared with 8 (IQR 3-22) days (p= NS). ICU LOS was also important in patients developing multiple organism BSIs, with median ICU LOS in days for admission 1 post LVAD being 7 (IQR 4-18) in the BSI free group and 14 (IQR 9-34) in the multiple organism BSI group (p =0.03). Similarly total LOS was significant (p=0.01) but total LOS minus first admission was not between the two groups. Conclusion Post-operative ICU LOS after MCS insertion is an important risk factor for developing BSI, and is also a risk factor for multiple organism BSIs. This data suggests that patients should be moved to a dedicated cardiac ward at the earliest opportunity from the ICU.

Readmission and hospital mortality after ICU discharge of critically ill cancer patients.

BackgroundIntensive care unit (ICU) readmission is generally associated with increased hospital stays and increased mortality. However, there are limited data on ICU readmission in critically ill cancer patients.MethodWe conducted a retrospective cohort study based on the prospective registry of all critically ill cancer patients admitted to the oncology medical ICU between January 2012 and December 2013. After excluding patients who were discharged to another hospital or decided to end-of-life care, we divided the enrolled patients into four groups according to the time period from ICU discharge to unexpected events (ICU readmission or ward death) as follows: no (without ICU readmission or death, n = 456), early (within 2 days, n = 42), intermediate (between 2 and 7 days, n = 64), and late event groups (after 7 days of index ICU discharge, n = 129). The independent risk factors associated with ICU readmission or unexpected death after ICU discharge were also analyzed using multinomial logistic regression model.ResultsThere were no differences in the reasons for ICU readmission across the groups. ICU mortality did not differ among the groups, but hospital mortality was significantly higher in the late event group than in the early event group. Mechanical ventilation during ICU stay, tachycardia, decreased mental status, and thrombocytopenia on the day of index ICU discharge increased the risk of early ICU readmission or unexpected ward death, while admission through the emergency room and sepsis and respiratory failure as the reasons for index ICU admission were associated with increased risk of late readmission or unexpected ward death. Interestingly, recent chemotherapy within 4 weeks before index ICU admission was inversely associated with the risk of late readmission or unexpected ward death.ConclusionIn critically ill cancer patients, patient characteristics predicting ICU readmission or unexpected ward death were different according to the time period between index ICU discharge and the events.

Blood Loss Due to Laboratory Testing in Critical Care Patients: A Retrospective Cohort Study

Background: Anemia and red blood cell (RBC) transfusions occur frequently in intensive care unit (ICU) patients and are associated with morbidity and mortality. Observational data suggest that anemia (nadir hemoglobin ≤ 9 g/dL) in ICU patients is associated with an increased risk of death within 30 days (OR 1.54, 95% confidence interval [CI] 1.12-2.12). Although anemia in this population is likely multifactorial, phlebotomy for laboratory testing is substantial (up to 41 mL/day) and may be a modifiable contributor as only 10% of the blood collected is required for analysis. This study aims to (i) characterize the blood volume taken for laboratory testing in ICU patients, and (ii) explore the effect of blood taken for testing on rates of RBC transfusion and anemia in a contemporary cohort of ICU patients.Methods: We conducted a retrospective cohort study of consecutive adult patients, age ≥18 years, admitted to a medical-surgical ICU for ≥48 hours in Hamilton, Ontario between November 1, 2012 to October 1, 2015. We extracted data from previously validated administrative databases. The primary outcome was estimated volume of blood drawn for laboratory testing during index ICU admission calculated using the number of unique blood specimens drawn and known sampling tube volumes. Secondary outcomes included: incidence of severe anemia (hemoglobin ≤9 g/dL), discharge hemoglobin adjusted for RBC transfusion (1.0 g/dL subtracted for each RBC transfusion administered), proportion of patients receiving RBC transfusion, number of RBC units transfused per patient, duration of ICU admission and ICU mortality. Categorical data are reported as counts and proportions. Continuous data are reported as means with standard deviations (SD) or medians with interquartile range (IQR). Predictors of RBC transfusion were examined using Cox regression analysis. P-values <0.05 were considered statistically significant.Results: We included 7,273 ICU patients. The median age was 66 years (IQR 54-76 years) and 40.8% of patients were female. Most responsible diagnosis was circulatory (33.3%), followed by injury/poisoning (15.9%), respiratory (12.8%), and gastrointestinal (9.2%). The ICU mortality rate was 13.8% and the median ICU length of stay was 5 days (IQR 3-10 days). On ICU admission, median hemoglobin value was 9.7 g/dL (IQR 8.2-11.6 g/dL) and 39.6% of patients had hemoglobin ≤ 9.0 g/dL.Median blood loss due to laboratory testing was 25 mL per patient per day (IQR 14-43 mL) and 213 mL per patient for the ICU admission (IQR 133-382 mL). On ICU discharge, median hemoglobin was 8.4 g/dL (IQR 5.8-10.5 g/dL), and 67.0% of patients had hemoglobin ≤ 9.0 g/dL while in ICU. After adjusting for RBC transfusions, the median decrease in hemoglobin from ICU admission to discharge was 1.2 g/dL (IQR 0-2.9 g/dL). RBC transfusions were administered to 47.5% of patients while in the ICU with 37.3% of these patients receiving 5 or more units. The median number of RBC units received in transfused patients was 3 (IQR 2-7). Additional blood drawn for laboratory testing of 150 mL from day 2 to day 7 of ICU admission (hazard ratio [HR] 2.3, 95%CI 2.1-2.5), hematologic diagnosis vs. other (HR 1.5, 95%CI 1.2-2.0), and RBC transfusion prior to ICU admission vs. none (HR 1.5, 95%CI 1.2-1.9) were associated with a higher risk of RBC transfusion in the ICU.Conclusions: Anemia and RBC transfusions are frequent in ICU patients with two-thirds of patients developing severe anemia (hemoglobin <9.0 g/dL) and 47.5% receiving RBC transfusion, respectively. Our results suggest that blood loss for laboratory testing remains substantial in contemporary medical-surgical ICU patients and is associated with the need for RBC transfusion. Strategies to reduce blood loss from laboratory testing represent an area for further prospective investigation. DisclosuresSiegal:BMS-Pfizer: Honoraria; Bayer: Honoraria; Portola Pharmaceuticals: Honoraria.

Prevalence and Nature of Financial Considerations Documented in Narrative Clinical Records in Intensive Care Units

The extent to which financial considerations alter intensive care unit (ICU) decision making is poorly understood. To characterize the prevalence and nature of financial considerations documented in narrative clinical records and their association with patient-level demographic and clinical features. In silico cohort study applying natural language processing to narrative notes from the Medical Information Mart for Intensive Care (MIMIC-III) study. Data from all individuals hospitalized between June 1, 2001, and October 31, 2012, in the ICU of Beth Israel Deaconess Medical Center were analyzed from April 1 to April 30, 2018. Presence of financial considerations in narrative clinical notes. Among 46 146 index ICU admissions, 1936 patients (4.2%) were identified with at least 1 note reflecting financial considerations during the ICU stay. Of these 1936 patients, 1135 (58.6%) were male, with a mean (SD) age of 38.8 (28.4) years and mean (SD) length of stay of 21.7 (27.1) days. Among the remaining 44 210 admissions in the cohort, 24 780 (56.1%) were male, with a mean (SD) age of 48.6 (32.1) years and mean (SD) length of stay of 9.2 (11.4) days. Among the 46 146 admissions, 142 (0.3%) included notes describing a change in the discharge plan, 142 (0.3%) describing a change in the treatment plan, and 303 (0.7%) describing a change in medication or previous nonadherence to medication associated with financial considerations. In logistic regression models adjusted for age, sex, marital status, and insurance type, longer hospital stays were significantly associated with the presence of financial notes (odds ratio, 1.01; 95% CI, 1.01-1.01). In this study, among patients in the ICU, clinical notes document the association of financial considerations with care decisions. Although such notes likely underestimate the frequency of such considerations, they highlight the need to develop better systematic approaches to understanding how financial constraints may alter care decisions in US health systems.

Weight and height documentation: Does ICU measure up?

BackgroundReliable assessment and documentation of weight and height are essential for the accurate delivery of many critical care interventions. MethodsWe conducted a 3-month retrospective, cross-sectional, single-centre audit to determine the prevalence of weight and height documentation in the clinical records of patients admitted to the intensive care unit (ICU) for the period from 3 months prior to hospital admission up to hospital discharge. ResultsOne hundred forty-one index ICU admissions were identified from October–December 2015 with 138 medical records available for analysis. Median (interquartile range) age was 64.5 (50.8–75.3) years, the majority were male (60.9%, 84/138), and the ICU admission Acute Physiology and Chronic Health Evaluation II score was 19.0 (14.0–25.0). Overall, weight and height were recorded in 90 (65.2%) and 63 (45.6%) patients, respectively. For elective postoperative admissions (n = 20), weight and height were recorded in 20 (100%) and 19 (95%) patients. For emergency medical and surgical admissions, 70 (59.3%) and 44 (37.2%) patients had weight and height recorded in both the 3-month period prior to hospital admission and the in-hospital period. A moderate, positive correlation was shown, r = 0.55, P < 0.001, with a longer hospital length of stay being associated with a greater number of weight and height records for each patient. In the emergency patient cohort, 81.7% (n = 215/263) of weight- and/or height-based interventions occurred before or during the ICU admission, of which 69.9% (n = 184/263) required consideration of ideal body weight. ConclusionMeasurement and medical record documentation of weight and height is infrequently performed in ICU patients. Given the clinical requirement for accurate measurement and documentation, further research to understand the barriers to perform and document this important process of care is necessary.

Epidemiology of continuous renal replacement therapy in Korea: Results from the National Health Insurance Service claims database from 2005 to 2016.

BackgroundContinuous renal replacement therapy (CRRT) is an important treatment modality for severe acute kidney injury. As such, the epidemiology of CRRT in Korea needs further investigation.MethodsWe conducted a nationwide, population-based study analyzing the claims data from National Health Insurance Service of Korea. All index intensive care unit admission cases of CRRT in government-designated tertiary referral hospitals in Korea from 2005 to 2016 were included. Patients with a history of renal replacement therapy or who were under 20 years old were not considered. In addition to baseline and treatment characteristics, patient outcomes, including all-cause mortality and renal survival rates, were investigated. We stratified the study patients according to 3-year time periods and major regions of the nation.ResultsWe included 37,337 patients who received CRRT in Korea. The overall use of CRRT increased over time, and more than 80% of cases of acute renal replacement therapy were CRRT after 2014. Seoul was the region in which the majority of CRRT (45.0%) was performed. The clinical characteristics of CRRT patients were significantly different among time-intervals and regions. Both all-cause mortality and renal survival rates after CRRT were prominently improved in the recent time periods (P < 0.001).ConclusionCRRT is a widely used treatment strategy for severe acute kidney injury in Korea. The prognosis of CRRT patients has improved compared to the past. This epidemiological study of CRRT in Korea revealed notable trends with regard to time period and geographic region.

Does the implementation of a novel intensive care discharge risk score and nurse-led inpatient review tool improve outcome? A prospective cohort study in two intensive care units in the UK

ObjectiveTo develop a clinical prediction model for poor outcome after intensive care unit (ICU) discharge in a large observational data set and couple this to an acute post-ICU ward-based review...

Radiotherapy for Lung Cancer in the Intensive Care Unit: A Population-Based Analysis

The use of radiotherapy (RT) in lung cancer patients admitted to the Intensive Care Unit (ICU) is poorly described. The purpose of this study is to evaluate characteristics, outcomes, and RT utilization in a population-based cohort of ICU lung cancer patients in Ontario, Canada. Eligible patients between April 1, 2007, and March 31, 2014, were identified through provincial administrative healthcare databases. As eligible patients could receive multiple RT deliveries, each was analyzed separately as an episode of care. Significant differences in patient, treatment, institution, and tumor characteristics between RT and non-RT groups were compared with t-tests for continuous variables and chi-square tests for categorical variables. Pre-ICU disposition was abstracted, stratified by ER admission, same institution admission, or different institution transfer. The Kaplan-Meier method was used to estimate overall survival (OS), measured from index ICU admission to death, censoring at the end of the observation period. Differences in OS between the RT and non-RT groups were compared using the log-rank test. Univariable and multivariable Cox proportional hazard modeling were performed to assess the effect of RT on survival. For all analyses, a P-value threshold of <0.05 was used to define statistical significance. In the 13,739 unique patients meeting the inclusion criteria, RT was delivered in 133 episodes to 1.0% (n = 131) of patients. The RT group tended to be younger (median age 65 vs. 68, P < 0.001), on some form of ventilation (79.8% vs. 38.2%, P < 0.001) and with longer ventilation durations ((median [IQR]) 6 [1-11] vs. 0 [0-2] days, P < 0.001). Pre-ICU disposition in RT patients was more likely to be from the ER (28.2% vs. 21.9%, P = 0.002) or via transfer (35.3% vs. 9.7%, P < 0.001). RT delivery varied across geographic regions (Local Health Integration Network, LHIN), with more than half of the 14 LHINs treating ≤ 5 patients each. In non-RT patients, institutional transfer was less common, ranging from 2.6% to 13.5% across LHINs. In contrast, 2 LHINs accounted for the majority (21.5% and 31.9%, respectively) of transfers in the RT group. While ICU discharge was common in both RT (n = 75, 56.4%) and non-RT (n = 10,405, 71.4%) cohorts, 1-year OS was poor with both groups, but most notably in the RT group (11.3% vs. 42.4%). RT was associated with inferior 1-year OS on unadjusted modeling (HR = 1.99, 95% CI = 1.65-2.38, P < 0.001), with ventilation status and pre-ICU disposition adjusting this finding towards the null on multivariable modeling (HR = 1.17, 95% CI = 0.97-1.40, P = 0.095). Lung cancer patients in the ICU have a poor OS. Although the use of RT in this setting is rare, geographic disparities exist in its utilization in a publically funded healthcare system. Those receiving RT are more likely to present via transfer or the ER, with a significant proportion achieving discharge and a minority prolonged survival, suggesting that RT use may not be futile.

Readmission to the Intensive Care Unit: Incidence, Risk Factors, Resource Use, and Outcomes. A Retrospective Cohort Study.

Readmission to the intensive care unit (ICU) is associated with poor clinical outcomes, increased length of ICU and hospital stay, and higher costs. Nevertheless, knowledge of epidemiology of ICU readmissions, risk factors, and attributable outcomes is restricted to developed countries. To determine the effect of ICU readmissions on in-hospital mortality, determine incidence of ICU readmissions, identify predictors of ICU readmissions and hospital mortality, and compare resource use and outcomes between readmitted and nonreadmitted patients in a developing country. This retrospective single-center cohort study was conducted in a 40-bed, open medical-surgical ICU of a private, tertiary care hospital in São Paulo, Brazil. The Local Ethics Committee at Hospital Israelita Albert Einstein approved the study protocol, and the need for informed consent was waived. All consecutive adult (≥18 yr) patients admitted to the ICU between June 1, 2013 and July 1, 2015 were enrolled in this study. Comparisons were made between patients readmitted and not readmitted to the ICU. Logistic regression analyses were performed to identify predictors of ICU readmissions and hospital mortality. Out of 5,779 patients admitted to the ICU, 576 (10%) were readmitted to the ICU during the same hospitalization. Compared with nonreadmitted patients, patients readmitted to the ICU were more often men (349 of 576 patients [60.6%] vs. 2,919 of 5,203 patients [56.1%]; P = 0.042), showed a higher (median [interquartile range]) severity of illness (Simplified Acute Physiology III score) at index ICU admission (50 [41-61] vs. 42 [32-54], respectively, for readmitted and nonreadmitted patients; P < 0.001), and were more frequently admitted due to medical reasons (425 of 576 [73.8%] vs. 2,998 of 5,203 [57.6%], respectively, for readmitted and nonreadmitted patients; P < 0.001). Simplified Acute Physiology III score (P < 0.001), ICU admission from the ward (odds ratio [OR], 1.907; 95% confidence interval [CI], 1.463-2.487; P < 0.001), vasopressors need during index ICU stay (OR, 1.391; 95% CI, 1.130-1.713; P = 0.002), and length of ICU stay (P = 0.001) were independent predictors of ICU readmission. After adjusting for severity of illness, ICU readmission (OR, 4.103; 95% CI, 3.226-5.518; P < 0.001), admission source, presence of cancer, use of vasopressors, mechanical ventilation or renal replacement therapy, length of ICU stay, and nighttime ICU discharge were associated with increased risk of in-hospital death. Readmissions to the ICU were frequent and strongly related to poor outcomes. The degree to which ICU readmissions are preventable as well as the main causes of preventable ICU readmissions need to be further determined.

Association between Obstructive Sleep Apnea and Acute Kidney Injury in Critically Ill Patients: A Propensity-Matched Study

Background/Aims: Obstructive sleep apnea (OSA) is a known risk factor for chronic kidney disease (CKD); however, its association with acute kidney injury (AKI) is not well documented. We aimed to study whether OSA is associated with the risk of AKI in the intensive care unit (ICU) setting. Methods: All consecutive adult Olmsted County, MN residents who were admitted in Mayo Clinic ICUs from January 1, 2010 to December 31, 2010 were screened. Chronic and acute risk factors were collected within the first 48 h of ICU admission. Logistic regression and propensity score matching were used to examine crude and adjusted associations of OSA with AKI. Results: Among 1,259 enrolled ICU patients, 183 patients had a diagnosis of OSA prior to the index ICU admission. Compared with non-OSA patients, the incidence of AKI in OSA patients was more frequent (41 vs. 57%, p < 0.001). In univariate analysis, it was found that CKD, age, gender, Caucasian race, congestive heart failure, cerebrovascular disease, diabetes mellitus, body mass index, and OSA were associated with AKI. In the multivariate model, following adjustment for age, gender, race, and chronic and acute risk factors, OSA was found to have an independent association with AKI (OR 1.53; 95% CI 1.04-2.24; p = 0.031). Among 176 propensity score matched pairs, there was a significant difference in the incidence of AKI between the OSA and non-OSA groups (OR 1.54; 95% CI 1.01-2.35; p = 0.04). Conclusions: The history of OSA diagnosed by polysomnography is associated with higher risk of AKI in critically ill patients.

The role of HIV infection and drug and alcohol dependence in hospital mortality among critically ill patients

Purpose Critical care outcomes among HIV-infected patients have improved because of advances in HIV therapy and general improvements in intensive care unit (ICU) management. There is a high co-occurrence of drug and alcohol dependence among HIV-infected patients, and the independent role of drug and alcohol dependence among patients with and without HIV infection in outcomes of critical illness is unclear. Materials and methods We analyzed a prospectively collected database of 7015 index ICU admissions at 2 teaching hospitals between January 1999 and January 2006. The ICU diagnoses were determined from prospective chart review and classified according to the dictionary of diagnoses developed by the Intensive Care National Audit and Research Council. We used logistic regression to determine the independent association of drug and alcohol dependence as well as HIV infection with in-hospital mortality. Covariates that were adjusted for included acute drug overdose, Acute Physiology and Chronic Health Evaluation II score, age, sex, hospital site, and socioeconomic variables. Results Of all patients, 4.4% (309 of 7015) were HIV infected; and of these, 56% (173 of 309) had a history of drug and alcohol dependence, whereas only 7.4% (502 of 6706) of the HIV-negative group had a history of drug and alcohol dependence. Drug and alcohol dependence was not independently associated with hospital mortality in either the model including all admissions (adjusted odds ratio [AOR] 0.80; 95% confidence interval [CI] 0.62-1.03) or the model including pneumonia and sepsis admissions only (AOR 0.92; 95% CI 0.59-1.41). Infection with HIV was independently associated with hospital mortality (AOR 2.16; 95% CI 1.60-2.93). Conclusions Although HIV infection is associated with increased hospital mortality, drug and alcohol dependence is not associated with an increased hospital mortality independent of HIV infection.

Data Linkage Enables Evaluation of Long-Term Survival after Intensive Care

Outcomes of intensive care are important to the patient and for assessment of benefit. Short-term outcomes after critical illness are well described, but less is known about long-term outcomes. This study describes the use of data linkage, combining intensive care unit (ICU) clinical data with administrative morbidity and mortality data, to assess long-term outcomes after treatment in ICU. The hospital-based cohort study was conducted in a 22-bed general ICU in a metropolitan teaching hospital. All patient admissions admitted to ICU from 1 January 1987 to 31 December 2002 were included. The prospective ICU clinical database with patient demographics, ICU diagnoses, severity of illness, daily assessment of organ failures and common daily treatments used was linked using probabilistic methods to the state-wide hospital morbidity and mortality databases to describe long-term survival. There were 26,019 ICU admissions (22,980 patients) with 25,972 records (99.8%) linked to a hospitalization event that included the index ICU admission. Unadjusted survival was 84.7% at 1 year decreasing progressively to 50.7% at 15 years. Age, type of admission, severity of illness (measured by Acute Physiologic and Chronic Health Evaluation (APACHE) II and the presence of organ failure), ICU length of stay, comorbidity (Chronic Health Evaluation and Charlson comorbidity index) and ICU admission diagnosis, were all associated with survival at 1, 3, 5, 10, and 15 year follow-up (P<0.001 at all time points). Linkage of clinical and administrative data provides a feasible method for ascertaining long-term survival after critical illness. Age, admission severity of illness, diagnosis and comorbidity influenced long-term unadjusted survival.