Hospital mortality among adults admitted to and discharged from intensive care on weekends and evenings

Purpose

Patient care may be inconsistent during off hours. We sought to determine whether adults admitted to or discharged from intensive care units (ICUs) on evenings and weekends have increased mortality rates.

Materials and Methods

All adults admitted to ICUs in the Calgary Health Region, Alberta, Canada, during 2000 to 2006 were included. The in-hospital mortality risk was assessed with admissions or discharges on weekdays (Monday to Friday) and daytime (8:00 am to 5:59 pm) as compared with weekends (Saturday and Sunday) and nights (6:00 pm to 7:59 am).

Results

Intensive care unit admissions (n = 20 466) occurred during weekends in 18%, nights in 41%, and nights and/or weekends in 49%. Among the 17 864 survivors to ICU discharge, 26% were discharged on weekends, 21% at night, and 41% on nights and/or weekends. Increased crude mortality rates were associated with both admission (24% vs 14%, P < .0001) and discharge (12% vs 5%, P < .0001) during nights as compared with days. Admission to (26% vs 16%, P < .0001) but not discharge from (6% vs 7%, P = .42) ICU during weekends as compared with weekdays was associated with increased mortality. After controlling for confounding variables using logistic regression analyses, neither weekend admission nor discharge was associated with death. However, both night admission and discharge were independently associated with mortality.

Conclusions

Our observations of excess risk associated with admission to or discharge from ICU at night merits further exploration as to whether it may reflect inconsistencies in care after hours.     

No effect of time of day at presentation to the emergency department on the outcome of patients who are admitted to the intensive care unit

Objectives: To determine if an association exists between the time of day when a patient presents to ED and their outcome for those admitted directly to the ICU. Methods: We performed a retrospective cohort study on all patients admitted to the ICU directly from the ED from 1 July 2006 to 30 June 2008, using data from the ED and ICU databases in a single institution. Comparisons of mortality, length of stay in the ED, ICU, hospital and time on a ventilator were made based on the time of presentation. Results: A total of 400 patients were admitted to ICU from the ED. There was no evidence of a difference in mortality between those presenting between midnight and 8 am, 8 am and 4 pm or 4 pm and midnight (23.2%, 22.8%, 19.5%, respectively, P= 0.71), or for those presenting during office hours (8 am–4 pm Monday to Friday) or outside office hours (26.1% and 20.2%, respectively, P= 0.23). There were no differences in time on a ventilator, or length of stay in ED, intensive care and hospital. Conclusions: The time of day patients arrive at the ED has no association with length of stay in ED, intensive care or hospital, time on the ventilator, or mortality for those who are admitted to the ICU.     

Day of the week of intensive care admission and patient outcomes: a multisite regional evaluation

BACKGROUND: Relationships between day of the week of admission to hospitals and hospital outcomes have been poorly studied. Intensive care units (ICUs) appear to be uniquely suited to examine such a question given the unpredictability of ICU admissions and the clinical instability of their patient populations. METHODS: This retrospective cohort study included 156,136 patients admitted to 38 ICUs in 28 hospitals in a large Midwestern metropolitan area during 1991 to 1997. Demographic and clinical data were collected from patients' medical records and used in multivariable risk-adjustment models that examined the risk for in-hospital death and ICU length of stay. RESULTS: The adjusted odds of in-hospital death were 9% higher (OR 1.09; 95% CI, 1.04-1.15; P <0.001) for weekend admissions (Saturday or Sunday) than in patients admitted midweek (Tuesday through Thursday). However, the adjusted odds of death were also higher (P <0.001) for patients admitted on Monday (OR 1.09) or Friday (OR 1.08). Findings were generally similar in analyses stratified by admission type (medical vs. surgical), hospital teaching status, and illness severity. Adjusted ICU length of stay was 4% longer (P <0.001) for weekend or Friday admissions, compared with midweek admissions. CONCLUSIONS: Patients admitted to an ICU on the weekend have a modestly higher risk for death and ICU length of stay. However, the similar risk for death in patients admitted on Friday and Monday suggests that "weekend effects" may be more related to unmeasured severity of illness and/or selection bias than to differences in quality of care.     

Effect of off-hour staffing in Chinese ICUs

Analysis of Chinese ICU staffing in relation to final outcome yields comparable results as those reported in Western ICUs. This underlines the general principle that we would all like to apply in our hospitals; that is, availability of knowledgeable staff that are adequately trained to recognize and treat an acutely deteriorating critically ill patient as soon as possible.In the previous issue of Critical Care Ju and colleagues report on their findings, evaluating whether off-hours admissions to the ICU are associated with increased mortality in mainland China [1]. Patients may develop critical illness during every moment of the day, often resulting in off-hour admission to the emergency department, or evaluation for potential admission to the ICU if already admitted to the hospital. Since timely and adequate initial treatment is essential for the subsequent course of events, it will also affect final outcome. The way treatment is delivered depends on organizational aspects, which may differ markedly according to the time of day the patient presents. The effect of ICU admission time on outcome has been studied in a variety of settings with mixed results. Some authors found increased mortality for patients admitted during off-hours [2-5], while others did not find a mortality difference [6-10]. One study even showed improved survival for patients admitted during off hours [11], or increased mortality for patients admitted during the morning rounds [12]. All these studies were retrospective and all suffer from at least two problems that make interpretation difficult. Firstly, off-hour patients are different from office hour patients with regards to illness severity and diagnosis at least. Secondly, even if this cause is identified, this does not necessarily hold true for other settings: there is a lack of external validity. Nevertheless, all these studies warn us to be aware of the possibility of a quality gap during off-hours compared to daytime, particularly with respect to the presence of an intensivist during the night. However, Kerlin and colleagues [13] recently demonstrated that mortality was not influenced by the presence or absence of intensivists during the nighttime. Recently, a meta-analysis, including 52 out of 16,774 citations, evaluated whether intensivist staffing patterns influence hospital mortality after ICU admission [14]. They showed that high intensity staffing is associated with lower mortality, which proved to be particularly related to the availability of an intensivist as part of the ICU team. However, given this type of organizational structure, no additional benefits could be demonstrated with respect to nighttime intensivist presence in the hospital. This suggests that the organizational structure involving an intensivist is the most crucial denominator for the reduction of mortality.In the previous issue of Critical Care, Ju and colleagues report on a propensity score matching analysis evaluating the effect of admission time on mortality in an ICU in mainland China in a retrospective dataset [1]. They studied 2,891 ICU patients over a 3 year period; of these, 2,716 (94%) were daytime ICU admissions, which were compared to the other 175 (6%), who were admitted during the nighttime (defined as the period between 5:30 p.m. and 7:30 a.m.). They found that the patients admitted during off-hours had higher Acute Physiology Age and Chronic Health Evaluation II scores, prolonged stay in the ICU and higher ICU mortality. They suggest that their findings may be related to availability of intensivists and qualified residents and recommend reevaluation of their staffing model and training system.Of course, several points could be raised when reading and interpreting their report. For instance, the authors report a low percentage of off-hour admissions when compared to other studies. This seems a bit odd, in particular since the period between 5:30 p.m. and 10 p.m. (evenings) will normally result in more unscheduled admissions than in the period between 10 p.m. and 7:30 a.m. Does this mean that patients were simply not identified when deteriorating in the wards because hospital staff were lacking, or because the staff were not adequately trained to recognize early warning scores? The chain of systems required to detect potentially critically ill patients - that is, trained and qualified personnel in the emergency room, in the general wards, and in the recovery room, and the availability of a medical emergency team - will all increase the number of acute ICU admissions during off-hours. Indeed, the authors show that patients admitted off-hours were more seriously ill with inherent increased ICU length of stay and hospital mortality. Another important factor may be their reported nurse to patient ratio in the ICU, which was 1:2.5. This is quite low when compared to most Western ICUs, where ratios are generally 1:1 or 1:1.5.Despite the aforementioned points, it is intriguing to read about Chinese ICU staffing in relation to final outcome, not only because information of this kind is generally lacking, but also because the final results and conclusions of the authors are so similar to those reached when evaluating so-called Western ICUs. This underlines the general principle that we would all like to apply in our hospitals; that is, the availability of knowledgeable staff that are adequately trained to recognize and treat an acutely deteriorating critically ill patient as soon as possible. This requires not only the availability of onsite intensivists, but also training of all hospital personnel in logistics, including a medical emergency team. It will be interesting to follow developments in China in the years to come.     

Annual prevalence,characteristics, and outcomes of intensive care patients with skin or soft tissue infections in Australia and New Zealand: A retrospective cohort study between 2006-2017

BackgroundThere are limited published data on the epidemiology of skin and soft tissue infections (SSTIs) requiring intensive care unit (ICU) admission. This study intended to describe the annual prevalence, characteristics, and outcomes of critically ill adult patients admitted to the ICU for an SSTI.MethodsThis was a registry-based retrospective cohort study, using data submitted to the Australian and New Zealand Intensive Care Society Adult Patient Database for all admissions with SSTI between 2006 and 2017. The inclusion criteria were as follows: primary diagnosis of SSTI and age ≥16 years. The exclusion criteria were as follows: ICU readmissions (during the same hospital admission) and transfers from ICUs from other hospitals. The primary outcome was in-hospital mortality, and the secondary outcomes were ICU mortality and length of stay (LOS) in the ICU and hospital with independent predictors of outcomes.ResultsAdmissions due to SSTI accounted for 10 962 (0.7%) of 1 470 197 ICU admissions between 2006 and 2017. Comorbidities were present in 25.2% of the study sample. The in-hospital mortality was 9% (991/10 962), and SSTI necessitating ICU admission accounted for 0.07% of in-hospital mortality of all ICU admissions between 2006 and 2017. Annual prevalence of ICU admissions for SSTI increased from 0.4% to 0.9% during the study period, but in-hospital mortality decreased from 16.1% to 6.8%. The median ICU LOS was 2.1 days (interquartile range = 3.4), and the median hospital LOS was 12.1 days (interquartile range = 20.6). ICU LOS remained stable between 2006 and 2017 (2.0–2.1 days), whereas hospital LOS decreased from 15.7 to 11.2 days. Predictors for in-hospital mortality included Australian and New Zealand Risk of Death scores [odds ratio (OR): 1.07; confidence interval (CI) (1.05, 1.09); p < 0.001], any comorbidity except diabetes [OR: 2.00; CI (1.05, 3.79); p = 0.035], and admission through an emergency response call [OR: 2.07; CI (1.03, 4.16); p = 0.041].ConclusionsSSTIs are uncommon as primary ICU admission diagnosis. Although the annual prevalence of ICU admissions for SSTI has increased, in-hospital mortality and hospital LOS have decreased over the last decade.     

Impact of patient volume on the mortality rate of adult intensive care unit patients

OBJECTIVE: Expert task forces have proposed that adult critical care medicine services should be regionalized in order to improve outcomes. However, it is currently unknown if high intensive care unit (ICU) patient volumes are associated with reduced mortality rate. The objective was to investigate whether high-volume ICUs have better mortality outcomes than low-volume ICUs. DESIGN: Retrospective cohort study analyzing the association between ICU volume and in-hospital mortality using Project IMPACT (a clinical outcomes database created by the Society of Critical Care Medicine). PATIENTS: The analyses were based on 70,757 patients admitted to 92 ICUs between 2001 and 2003. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The main outcome measure was in-hospital mortality. Hierarchical logistic regression modeling was used to examine the volume-outcome association. The median (interquartile range) ICU volume was 827 (631-1,234) patient admissions per year. The overall mortality rate was 14.6%. After controlling for patient risk factors and ICU characteristics, and clustering, there was evidence that patients admitted to high-volume ICUs had improved outcomes (p = .025). However, this mortality benefit was seen only in high-risk patients treated at ICUs treating high volumes of high-risk patients. CONCLUSIONS: There is evidence that high ICU patient volumes are associated with lower mortality rates in high-risk critically ill adults.     

Characteristics and outcome for admissions to adult, general critical care units with acute severe asthma: a secondary analysis of the ICNARC Case Mix Programme Database

Introduction

This report describes the case mix, outcome and activity (duration of intensive care unit [ICU] and hospital stay, inter-hospital transfer, and readmissions to the ICU) for admissions to ICUs for acute severe asthma, and investigates the effect of case mix factors on outcome.

Methods

We conducted a secondary analysis of data from a high-quality clinical database (the Intensive Care National Audit and Research Centre [ICNARC] Case Mix Programme Database) of 129,647 admissions to 128 adult, general critical care units across England, Wales and Northern Ireland over the period 1995–2001.

Results

Asthma accounted for 2152 (1.7%) admissions, and in 57% mechanical ventilation was employed during the first 24 hours in the ICU. A total of 147 (7.1%) patients died in intensive care and 199 (9.8%) died before discharge from hospital. The mean age was 43.6 years, and the ratio of women to men was 2:1. Median length of stay was 1.5 days in the ICU and 8 days in hospital. Older age, female sex, having received cardiopulmonary resuscitation (CPR) within 24 hours before admission, having suffered a neurological insult during the first 24 hours in the ICU, higher heart rate, and hypercapnia were associated with greater risk for in-hospital death after adjusting for Acute Physiology and Chronic Health Evaluation II score. CPR before admission, neurological insult, hypoxaemia and hypercapnia were associated with receipt of mechanical ventilation after adjusting for Acute Physiology and Chronic Health Evaluation II score.

Conclusion

ICU admission for asthma is relatively uncommon but remains associated with appreciable in-hospital mortality. The greatest determinant of poor hospital survival in asthma patients was receipt of CPR within 24 hours before admission to ICU. Clinical management of these patients should be directed at preventing cardiac arrest before admission.     

Timing of intensive care unit admission in relation to ICU outcome

This study assessed the relationship between admission time (from hospital admission to ICU admission) and mortality predicted by the Mortality Prediction Model (MPM), actual mortality, and resource use. All admissions, except elective surgery patients, to the general medical/surgical ICU of a tertiary care hospital during a 24-month period were studied (n = 1,889). Patients admitted to the ICU within 1 day of hospital admission had lower predicted and actual mortality, and used fewer resources than patients admitted later. Predicted mortality was higher than actual mortality for patients admitted to the ICU early and was lower than actual mortality for later ICU admissions. Transfers had higher predicted and actual mortality, and used more resources than nontransfer patients. Time from hospital admission to ICU admission can be a potentially useful variable in models of ICU outcome.     

Influence of time-to-interventions for emergency department critical care patients on hospital mortality.

INTRODUCTION: Patients seeking ED services require intensive interventions. Minimal literature exists on outcomes of mortality for ED patients admitted directly to ICU beds and outcomes of hospital stay. Wait times of the following interventions-time to first medication, first radiologic examination, first blood work, arrival in the emergency department to order for an ICU bed, and time of admission order to leaving the emergency department-were investigated for associations with hospital mortality. METHODS: This study was a quantitative, retrospective, non-experimental, exploratory, comparative analysis of secondary data. RESULTS: Nearly 54% of patients arrived by ambulance; 46% were walk-ins. Mean minutes to ICU admission order was 206.50; from order to leaving the emergency department, 93.56 minutes; and length of stay in the emergency department, 298 minutes. Mortality rates were higher for weekend admissions than for weekday admissions. An implication of logistic regression was that longer periods from order to leaving the emergency department affected hospital mortality rates. DISCUSSION: Mortality rate was more likely to increase the longer it took to leave the emergency department after an admission order. Further study on timeliness of ED interventions related to hospital outcomes may provide the information to revise practice. Using a system-wide database interfaced with an in-hospital system would facilitate the ability to do outcomes research.     

Evaluating the performance of an institution using an intensive care unit benchmark

OBJECTIVES: To describe the performances of selected intensive care units (ICUs) in a single institution using the Acute Physiology and Chronic Health Evaluation (APACHE) III benchmark and to propose interventions that may improve performance. PATIENTS AND METHODS: In this retrospective study, we analyzed APACHE III data from critically ill patients admitted to ICUs at the Mayo Clinic in Rochester, Minn, between October 1994 and December 2003. We retrieved ICU performance measures based on first ICU day APACHE III values. Standardized ratios were defined as ratios of measured to predicted values. The primary performance measure was the standardized mortality ratio, and secondary performance measures were length of stay (LOS) ratios, low-risk monitor ICU admission rates, and ICU readmission rates. We calculated 95% confidence intervals (CIs) for each performance, graded as good, average, or poor. RESULTS: Among 46,381 patients admitted during the study period, 57.5% were in surgical ICUs, 24.8% in a medical ICU, and 17.7% in a surgical-medical ICU. Low-risk monitoring accounted for 37.2% of admissions. Hospital standardized mortality ratios (95% CI) were 0.95 (0.90-0.99), 0.86 (0.81-0.91), and 0.70 (0.66-0.74) for medical, multispecialty, and surgical ICUs, respectively. Hospital LOS ratios (95% CI) were 0.83 (0.81-0.85), 0.91 (0.88-0.93), and 0.99 (0.97-1.00) for medical, multispecialty, and surgical ICUs, respectively. The ICU readmission rate for each ICU was higher than the 6.7% reported in the medical literature. Performances were good in mortality, average to good in LOS, average in low-risk admission, and poor in ICU readmission. CONCLUSIONS: A national benchmarking database can highlight the strengths and weaknesses of ICUs. The performances of ICUs in a single institution may differ; therefore, the performance of each unit should be evaluated individually.     

Prediction of long-term mortality in ICU patients: model validation and assessing the effect of using in-hospital versus long-term mortality on benchmarking

Purpose

To analyze the influence of using mortality 1, 3, and 6 months after intensive care unit (ICU) admission instead of in-hospital mortality on the quality indicator standardized mortality ratio (SMR).

Methods

A cohort study of 77,616 patients admitted to 44 Dutch mixed ICUs between 1 January 2008 and 1 July 2011. Four Acute Physiology and Chronic Health Evaluation (APACHE) IV models were customized to predict in-hospital mortality and mortality 1, 3, and 6 months after ICU admission. Models’ performance, the SMR and associated SMR rank position of the ICUs were assessed by bootstrapping.

Results

The customized APACHE IV models can be used for prediction of in-hospital mortality as well as for mortality 1, 3, and 6 months after ICU admission. When SMR based on mortality 1, 3 or 6 months after ICU admission was used instead of in-hospital SMR, 23, 36, and 30 % of the ICUs, respectively, received a significantly different SMR. The percentages of patients discharged from ICU to another medical facility outside the hospital or to home had a significant influence on the difference in SMR rank position if mortality 1 month after ICU admission was used instead of in-hospital mortality.

Conclusions

The SMR and SMR rank position of ICUs were significantly influenced by the chosen endpoint of follow-up. Case-mix-adjusted in-hospital mortality is still influenced by discharge policies, therefore SMR based on mortality at a fixed time point after ICU admission should preferably be used as a quality indicator for benchmarking purposes.     

Hospital mortality rate and length of stay in patients admitted at night to the intensive care unit

OBJECTIVE: Although admission of patients to a medical ward after 5:00 pm has been associated with increased mortality rate and possibly shorter hospital stay, the association between timing of admission to the intensive care unit and outcome has not been studied. The objective of this study was to determine whether there are any associations between the timing of patient admission to a medical intensive care unit and hospital outcome. DESIGN: A retrospective cohort study that used an Acute Physiology and Chronic Health Evaluation III database containing prospectively collected demographic, clinical, and outcome information for patients. Patients were divided according to the time of admission into daytime (from 7:00 am to 5:00 pm) and nighttime admissions. We further subdivided nighttime admissions into two groups (regular and heavy workload) according to the number of patients who were admitted during the same shift. SETTING: Medical intensive care unit (a 15-bed unit in an academic referral hospital). PATIENTS: 6,034 patients consecutively admitted to our medical intensive care unit over a 5-yr period starting April 10, 1995. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The patients admitted at night had a lower mortality rate (13.9 vs. 17.2%, p < .0001), adjusted for admission source and severity of illness. Their hospital stay was shorter, 11.0 days +/- 13.5 (median 7) vs. 12.7 +/- 14.8 (median 8; p < .0001), as was their intensive care unit stay, 3.5 +/- 4.4 days (median 2) vs. 3.9 +/- 4.7 (median 2; p < .0001), compared with the daytime admission group. The nighttime shifts that admitted three or more patients (heavy workload) had the same mortality rate (13.2%) as those with fewer admissions (14.5%; p = .5961). Hospital and intensive care unit stays were also similar in both workload groups. CONCLUSIONS: Nighttime admission to our intensive care unit is not associated with a higher mortality rate or a longer hospital or intensive care unit stay compared with daytime admission.     

Hospital mortality of adults admitted to Intensive Care Units in hospitals with and without Intermediate Care Units: a multicentre European cohort study

Introduction

The aim of the study was to assess whether adults admitted to hospitals with both Intensive Care Units (ICU) and Intermediate Care Units (IMCU) have lower in-hospital mortality than those admitted to ICUs without an IMCU.

Methods

An observational multinational cohort study performed on patients admitted to participating ICUs during a four-week period. IMCU was defined as any physically and administratively independent unit open 24 hours a day, seven days a week providing a level of care lower than an ICU but higher than a ward. Characteristics of hospitals, ICUs and patients admitted to study ICUs were recorded. The main outcome was all-cause in-hospital mortality until hospital discharge (censored at 90 days).

Results

One hundred and sixty-seven ICUs from 17 European countries enrolled 5,834 patients. Overall, 1,113 (19.1%) patients died in the ICU and 1,397 died in hospital, with a total of 1,397 (23.9%) deaths. The illness severity was higher for patients in ICUs with an IMCU (median Simplified Acute Physiology Score (SAPS) II: 37) than for patients in ICUs without an IMCU (median SAPS II: 29, P <0.001). After adjustment for patient characteristics at admission such as illness severity, and ICU and hospital characteristics, the odds ratio of mortality was 0.63 (95% CI 0.45 to 0.88, P = 0.007) in favour of the presence of IMCU. The protective effect of the IMCU was absent in patients who were admitted for basic observation, for example, after surgery (odds ratio 1.15, 95% CI 0.65 to 2.03, P = 0.630) but was strong in patients admitted to an ICU for other reasons (odds ratio 0.54, 95% CI 0.37 to 0.80, P = 0.002).

Conclusions

The presence of an IMCU in the hospital is associated with significantly reduced adjusted hospital mortality for adults admitted to the ICU. This effect is relevant for the patients requiring full intensive treatment.

Trial registration

Clinicaltrials.gov {"type":"clinical-trial","attrs":{"text":"NCT01422070","term_id":"NCT01422070"}}NCT01422070. Registered 19 August 2011.

Electronic supplementary material

The online version of this article (doi:10.1186/s13054-014-0551-8) contains supplementary material, which is available to authorized users.     

The effects of ICU admission and discharge times on mortality in Finland

Objective Hospital mortality increases if acutely ill patients are admitted to hospitals on weekends as compared with weekdays. Night discharges may increase mortality in intensive care unit (ICU) patients but the effect of ICU admission time on mortality is not known. We studied the effects of ICU admission and discharge times on mortality and the time of death in critically ill patients.Design Cohort study using a national ICU database.Setting Eighteen ICUs in university and central hospitals in Finland.Patients Consecutive series of all 23,134 emergency admissions in January 1998–June 2001.Interventions None.Measurements and main results We defined weekend (as opposed to weekday) from 1600 hours Friday to 2400 hours Sunday and out-of-office hours (as opposed to office hours) from 1600 hours to 0800 hours. Mortality was adjusted for disease severity, intensity of care, and whether restrictions for future care were set. ICU-mortality was 10.9% and hospital mortality 20.7%. Adjusted ICU-mortality was higher for weekend as compared with weekday admissions [odds ratio (OR 1.20) 95% CI 1.01–1.43], but similar for out-of-office and office hour admissions (OR 0.98, 0.85–1.13). Adjusted risk of ICU death was higher during out-of-office hours as compared with office hours (OR 6.89, 5.96–7.96). The time of discharge from ICU to wards was not associated with further hospital mortality.Conclusions Weekend ICU admissions are associated with increased mortality, and patients in the ICU are at increased risk of dying in evenings and during nighttime. Our findings may have important implications for organization of ICU services.     

Characteristics and outcome for admissions to adult,general critical care units with acute severe asthma: a secondary analysis of the ICNARC Case Mix Programme Database

Introduction

This report describes the case mix, outcome and activity (duration of intensive care unit [ICU] and hospital stay, inter-hospital transfer, and readmissions to the ICU) for admissions to ICUs for acute severe asthma, and investigates the effect of case mix factors on outcome.

Methods

We conducted a secondary analysis of data from a high-quality clinical database (the Intensive Care National Audit and Research Centre [ICNARC] Case Mix Programme Database) of 129,647 admissions to 128 adult, general critical care units across England, Wales and Northern Ireland over the period 1995–2001.

Results

Asthma accounted for 2152 (1.7%) admissions, and in 57% mechanical ventilation was employed during the first 24 hours in the ICU. A total of 147 (7.1%) patients died in intensive care and 199 (9.8%) died before discharge from hospital. The mean age was 43.6 years, and the ratio of women to men was 2:1. Median length of stay was 1.5 days in the ICU and 8 days in hospital. Older age, female sex, having received cardiopulmonary resuscitation (CPR) within 24 hours before admission, having suffered a neurological insult during the first 24 hours in the ICU, higher heart rate, and hypercapnia were associated with greater risk for in-hospital death after adjusting for Acute Physiology and Chronic Health Evaluation II score. CPR before admission, neurological insult, hypoxaemia and hypercapnia were associated with receipt of mechanical ventilation after adjusting for Acute Physiology and Chronic Health Evaluation II score.

Conclusion

ICU admission for asthma is relatively uncommon but remains associated with appreciable in-hospital mortality. The greatest determinant of poor hospital survival in asthma patients was receipt of CPR within 24 hours before admission to ICU. Clinical management of these patients should be directed at preventing cardiac arrest before admission.

     

Admissions to intensive care units from emergency departments: a descriptive study

Objectives: To describe the case mix, activity, and outcome for admissions to intensive care units (ICUs) from emergency departments (EDs). Design: An observational study using data from a high quality clinical database, the Case Mix Programme Database, of intensive care admissions, coordinated at the Intensive Care National Audit &; Research Centre (ICNARC). Setting: 91 adult ICUs in England, Wales, and Northern Ireland, 1996–99. Subjects: 46 587 intensive care admissions. Main outcome measures: Ultimate hospital mortality. Results: Admissions from EDs constituted 26% of total admissions to ICU, 77% of which were direct admissions to ICU from EDs. Direct admissions from EDs, indirect admissions from EDs, and non-ED admissions presented to ICU with different conditions and severity of illness. Indirect admissions from EDs presented in the ICU with the more severe case mix (older age, more acute severity of illness, more likely to have a chronic illness) compared with direct admissions to ICU from EDs. Compared with ICU admissions not originating in EDs, unit and hospital mortality were higher for admissions from EDs, with indirect admissions experiencing the highest hospital (46.4%) mortality. For ICU survivors, indirect admissions stayed longest in the ICU. Conclusions: A large proportion of admissions to ICU (26%) originate in EDs, and differ from those not originating in EDs in terms of both case mix and outcome. Additionally, those admitted directly to ICU from EDs differ from those admitted indirectly via a ward. The observed differences in outcome between different admission routes require further investigation and explanation.     

Intensive care unit length of stay: recent changes and future challenges

OBJECTIVE: To compare case-mix adjusted intensive care unit (ICU) length of stay for critically ill patients with a variety of medical and surgical diagnoses during a 5-yr interval. DESIGN: Nonrandomized cohort study. SETTING: A total of 42 ICUs at 40 US hospitals during 1988-1990 and 285 ICUs at 161 US hospitals during 1993-1996. PATIENTS: A total of 17,105 consecutive ICU admissions during 1988-1990 and 38,888 consecutive ICU admissions during 1993-1996. MEASUREMENTS AND MAIN RESULTS: We used patient demographic and clinical characteristics to compare observed and predicted ICU length of stay and hospital mortality. Outcomes for patients studied during 1993-1996 were predicted using multivariable models that were developed and cross-validated using the 1988-1990 database. The mean observed hospital length of stay decreased by 3 days (from 14.8 days during 1988-1990 to 11.8 days during 1993-1996), but the mean observed ICU length of stay remained similar (4.70 vs. 4.53 days). After adjusting for patient and institutional differences, the mean predicted 1993-1996 ICU stay was 4.64 days. Thus, the mean-adjusted ICU stay decreased by 0.11 days during this 5-yr interval (T-statistic, 4.35; p < .001). The adjusted mean ICU length of stay was not changed for patients with 49 (75%) of the 65 ICU admission diagnoses. In contrast, the mean observed hospital length of stay was significantly shorter for 47 (72%) of the 65 admission diagnoses, and no ICU admission diagnosis was associated with a longer hospital stay. Aggregate risk-adjusted hospital mortality during 1993-1996 (12.35%) was not significantly different during 1988-1990 (12.27%, p = .54). CONCLUSIONS: For patients admitted to ICUs, the pressures associated with a decrease in hospital length of stay do not seem to have influenced the duration of ICU stay. Because of the high cost of intensive care, reduction in ICU stay may become a target for future cost-cutting efforts.     

Admission to a neurologic/neurosurgical intensive care unit is associated with reduced mortality rate after intracerebral hemorrhage

OBJECTIVE: To determine whether mortality rate after intracerebral hemorrhage (ICH) is lower in patients admitted to a neurologic or neurosurgical (neuro) intensive care unit (ICU) compared to those admitted to general ICUs. BACKGROUND: The utility of specialty ICUs is debated. From a cost perspective, having fewer larger ICUs is preferred. Alternatively, the impact of specialty ICUs on patient outcome is unknown. Patients with ICH are admitted routinely to both general and neuro ICUs and provide an opportunity to address this question. SETTING: Forty-two neuro, medical, surgical, and medical-surgical ICUs. MEASUREMENTS AND MAIN RESULTS: The study was an analysis of data prospectively collected by Project Impact over 3 yrs from 42 participating ICUs (including one neuro ICU) across the country. The records of 36,986 patients were merged with records of 3,298 patients from a second neuro ICU that collected the same data over the same period. The impact of clinical (age, race, gender, Glasgow Coma Scale score, reason for admission, insurance), ICU (size, number of ICH patients, full-time intensivist, clinical service, American College for Graduate Medical Education or Critical Care Medicine fellowship), and institutional (size, location, medical school affiliation) characteristics on hospital mortality rate of ICH patients was assessed by using a forward-enter multivariate analysis. Data from 1,038 patients were included. The 13 ICUs that admitted >20 patients accounted for 83% of the admissions with a mortality rate that ranged from 25% to 64%. Multivariate analysis adjusted for patient demographics, severity of ICH, and ICU and institutional characteristics indicated that not being in a neuro ICU was associated with an increase in hospital mortality rate (odds ratio [OR], 3.4; 95% confidence interval [CI], 1.65-7.6). Other factors associated with higher mortality rate were greater age (OR, 1.03/year; 95% CI, 1.01-1.04), lower Glasgow Coma Scale score (OR, 0.6/point; 95% CI, 0.58-0.65), fewer ICH patients (OR, 1.01/patient; 95% CI, 1.00-1.01), and smaller ICU (OR, 1.1/bed; 95% CI, 1.02-1.13). Having a full time intensivist was associated with lower mortality rate (OR, 0.388; 95% CI, 0.22-0.67). CONCLUSIONS: For patients with acute ICH, admission to a neuro vs. general ICU is associated with reduced mortality rate.     

Outcome of critically ill human immunodeficiency virus-infected patients in the era of highly active antiretroviral therapy

The purpose of this study was to determine the effect of prior use of highly active antiretroviral therapy (HAART) on outcome of human immunodeficiency virus (HIV)- patients admitted to intensive care units (ICUs). This study was a retrospective chart review of 242 HIV-infected patients who required 259 consecutive admissions to a university-affiliated hospital ICU during a 3-year period. Patient demographics, CD4 count, admission diagnosis, prior HAART, Pneumocystis jiroveci prophylaxis, length of stay, and ICU and hospital mortality were determined. Overall hospital mortality was 39%. Comparing patients who had received HAART before an ICU admission to those who had not, we found no difference between ICU or hospital mortality, need of mechanical ventilation, ICU and hospital length of stay, and incidence of P jiroveci. Pulmonary diagnosis was the most frequent ICU admission diagnosis (30%). Logistic regression analysis showed HIV-related illness and mechanical ventilation were significant independent predictors of increased hospital mortality.