Philipp G. H. Metnitz

Mortality after surgery in Europe: a 7 day cohort study

Summary Background Clinical outcomes after major surgery are poorly described at the national level. Evidence of heterogeneity between hospitals and health-care systems suggests potential to improve care for patients but this potential remains unconfirmed. The European Surgical Outcomes Study was an international study designed to assess outcomes after non-cardiac surgery in Europe. Methods We did this 7 day cohort study between April 4 and April 11, 2011. We collected data describing consecutive patients aged 16 years and older undergoing inpatient non-cardiac surgery in 498 hospitals across 28 European nations. Patients were followed up for a maximum of 60 days. The primary endpoint was in-hospital mortality. Secondary outcome measures were duration of hospital stay and admission to critical care. We used χ2 and Fishers exact tests to compare categorical variables and the t test or the Mann-Whitney U test to compare continuous variables. Significance was set at p<0·05. We constructed multilevel logistic regression models to adjust for the differences in mortality rates between countries. Findings We included 46 539 patients, of whom 1855 (4%) died before hospital discharge. 3599 (8%) patients were admitted to critical care after surgery with a median length of stay of 1·2 days (IQR 0·9–3·6). 1358 (73%) patients who died were not admitted to critical care at any stage after surgery. Crude mortality rates varied widely between countries (from 1·2% [95% CI 0·0–3·0] for Iceland to 21·5% [16·9–26·2] for Latvia). After adjustment for confounding variables, important differences remained between countries when compared with the UK, the country with the largest dataset (OR range from 0·44 [95% CI 0·19–1·05; p=0·06] for Finland to 6·92 [2·37–20·27; p=0·0004] for Poland). Interpretation The mortality rate for patients undergoing inpatient non-cardiac surgery was higher than anticipated. Variations in mortality between countries suggest the need for national and international strategies to improve care for this group of patients. Funding European Society of Intensive Care Medicine, European Society of Anaesthesiology.

SAPS 3—From evaluation of the patient to evaluation of the intensive care unit. Part 1: Objectives, methods and cohort description

ObjectiveRisk adjustment systems now in use were developed more than a decade ago and lack prognostic performance. Objective of the SAPS 3 study was to collect data about risk factors and outcomes in a heterogeneous cohort of intensive care unit (ICU) patients, in order to develop a new, improved model for risk adjustment.DesignProspective multicentre, multinational cohort study.Patients and settingA total of 19,577 patients consecutively admitted to 307 ICUs from 14 October to 15 December 2002.Measurements and resultsData were collected at ICU admission, on days 1, 2 and 3, and the last day of the ICU stay. Data included sociodemographics, chronic conditions, diagnostic information, physiological derangement at ICU admission, number and severity of organ dysfunctions, length of ICU and hospital stay, and vital status at ICU and hospital discharge. Data reliability was tested with use of kappa statistics and intraclass-correlation coefficients, which were >0.85 for the majority of variables. Completeness of the data was also satisfactory, with 1 [0–3] SAPS II parameter missing per patient. Prognostic performance of the SAPS II was poor, with significant differences between observed and expected mortality rates for the overall cohort and four (of seven) defined regions, and poor calibration for most tested subgroups.ConclusionsThe SAPS 3 study was able to provide a high-quality multinational database, reflecting heterogeneity of current ICU case-mix and typology. The poor performance of SAPS II in this cohort underscores the need for development of a new risk adjustment system for critically ill patients.

Errors in administration of parenteral drugs in intensive care units: multinational prospective study

Objective To assess on a multinational level the frequency, characteristics, contributing factors, and preventive measures of administration errors in parenteral medication in intensive care units. Design Observational, prospective, 24 hour cross sectional study with self reporting by staff. Setting 113 intensive care units in 27 countries. Participants 1328 adults in intensive care. Main outcome measures Number of errors; impact of errors; distribution of error characteristics; distribution of contributing and preventive factors. Results 861 errors affecting 441 patients were reported: 74.5 (95% confidence interval 69.5 to 79.4) events per 100 patient days. Three quarters of the errors were classified as errors of omission. Twelve patients (0.9% of the study population) experienced permanent harm or died because of medication errors at the administration stage. In a multiple logistic regression with patients as the unit of analysis, odds ratios for the occurrence of at least one parenteral medication error were raised for number of organ failures (odds ratio per increase of one organ failure: 1.19, 95% confidence interval 1.05 to 1.34); use of any intravenous medication (yes v no: 2.73, 1.39 to 5.36); number of parenteral administrations (per increase of one parenteral administration: 1.06, 1.04 to 1.08); typical interventions in patients in intensive care (yes v no: 1.50, 1.14 to 1.96); larger intensive care unit (per increase of one bed: 1.01, 1.00 to 1.02); number of patients per nurse (per increase of one patient: 1.30, 1.03 to 1.64); and occupancy rate (per 10% increase: 1.03, 1.00 to 1.05). Odds ratios for the occurrence of parenteral medication errors were decreased for presence of basic monitoring (yes v no: 0.19, 0.07 to 0.49); an existing critical incident reporting system (yes v no: 0.69, 0.53 to 0.90); an established routine of checks at nurses’ shift change (yes v no: 0.68, 0.52 to 0.90); and an increased ratio of patient turnover to the size of the unit (per increase of one patient: 0.73, 0.57 to 0.93). Conclusions Parenteral medication errors at the administration stage are common and a serious safety problem in intensive care units. With the increasing complexity of care in critically ill patients, organisational factors such as error reporting systems and routine checks can reduce the risk for such errors.

Gender-related differences in intensive care: a multiple-center cohort study of therapeutic interventions and outcome in critically ill patients.

ObjectiveTo determine whether gender-related differences exist in the provided level of care and outcome in a large cohort of critically ill patients. DesignProspective, observational cohort study with data collection from January 1, 1998, to December 31, 2000. SettingThirty-one intensive care units in Austria. PatientsA total of 25,998 adult patients, consecutively admitted to 31 intensive care units in Austria.. InterventionsWe assessed severity of illness, level of provided care, and vital status at hospital discharge. Measurements and Main ResultsOf 25,998 patients, 58.3% were male and 41.7% were female. Hospital mortality rate was slightly higher in women (18.1%) than in men (17.2%), but severity of illness-adjusted mortality rate was not different. Men received an overall increased level of care and had a significantly higher probability of receiving invasive procedures, such as mechanical ventilation (odds ratio [OR], 1.22; 95% confidence interval [CI], 1.16–1.28), single vasoactive medication (OR, 1.18; 95% CI, 1.12–1.24), multiple vasoactive medication (OR, 1.21; 95% CI, 1.15–1.28), intravenous replacement of large fluid losses (OR, 1.14; 95% CI, 1.08–1.20), central venous catheter (OR, 1.06; 95% CI, 1.01–1.12), peripheral arterial catheter (OR, 1.15; 95% CI, 1.10–1.22), pulmonary artery catheter (OR, 1.48; 95% CI, 1.34–1.62), renal replacement therapy (OR, 1.28; 95% CI, 1.16–1.42), and intracranial pressure measurement (OR, 1.34; 95% CI, 1.18–1.53). ConclusionsIn a large cohort of critically ill patients, no differences in severity of illness-adjusted mortality rate between men and women were found. Despite a higher severity of illness in women, men received an increased level of care and underwent more invasive procedures. This different therapeutic approach in men did not translate into a better outcome.

Incidence and prognosis of early hepatic dysfunction in critically ill patients : A prospective multicenter study

Objective:In critically ill patients, hepatic dysfunction is regarded as a late organ failure associated with poor prognosis. We investigated the incidence and prognostic implications of early hepatic dysfunction (serum bilirubin >2 mg/dL within 48 hrs of admission). Design:Prospective, multicenter cohort study. Setting:Thirty-two medical, surgical, and mixed intensive care units. Patients:A total of 38,036 adult patients admitted consecutively over a period of 4 yrs. Interventions:None. Measurements and Main Results:Excluding patients with preexisting cirrhosis (n = 691; 1.8%) and acute or acute-on-chronic hepatic failure (n = 108, 0.3%), we identified 4,146 patients (10.9%) with early hepatic dysfunction. These patients had different baseline characteristics, longer median intensive care unit stays (5 vs. 3 days; p < .001) and increased hospital mortality (30.4% vs. 16.4%; p < .001). Hepatic dysfunction was also associated with higher observed-to-expected mortality ratios (1.02 vs. 0.91; p < .001). Multiple logistic regression analysis showed an independent mortality risk of hepatic dysfunction (odds ratio, 1.86; 95% confidence interval, 1.71–2.03; p < .001), which exceeded the impact of all other organ dysfunctions. A case-control study further confirmed these results: Patients with early hepatic dysfunction exhibited significantly increased raw and risk-adjusted mortality compared with control subjects. Conclusions:Our results provide strong evidence that early hepatic dysfunction, occurring in 11% of critically ill patients, presents a specific and independent risk factor for poor prognosis.

Preoperative anaemia is associated with poor clinical outcome in non-cardiac surgery patients

BACKGROUND Retrospective studies suggest that preoperative anaemia is associated with poor outcomes after surgery. The objective of this study was to describe mortality rates and patterns of intensive care resource use for patients with anaemia undergoing non-cardiac and non-neurological in-patient surgery. METHODS We performed a secondary analysis of a large prospective study describing perioperative care and survival in 28 European nations. Patients at least 16 yr old undergoing in-patient surgery during a 7 day period were included in the study. Data were collected for in-hospital mortality, duration of hospital stay, admission to intensive care, and intensive care resource use. Multivariable logistic regression analysis was performed to understand the effects of preoperative haemoglobin (Hb) levels on in-hospital mortality. RESULTS We included 39 309 patients in the analysis. Preoperative anaemia had a high prevalence in both men and women (31.1% and 26.5%, respectively). Multivariate analysis showed that patients with severe [odds ratio 2.82 (95% confidence interval 2.06-3.85)] or moderate [1.99 (1.67-2.37)] anaemia had higher in-hospital mortality than those with normal preoperative Hb concentrations. Furthermore, hospital length of stay (P<0.001) and postoperative admission to intensive care (P<0.001) were greater in patients with anaemia than in those with normal Hb concentrations. CONCLUSIONS Anaemia is common among non-cardiac and non-neurological surgical patients, and is associated with poor clinical outcome and increased healthcare resource use. CLINICAL TRIAL REGISTRATION NCT01203605 (ClinicalTrials.gov).

Prospectively defined indicators to improve the safety and quality of care for critically ill patients: a report from the Task Force on Safety and Quality of the European Society of Intensive Care Medicine (ESICM).

ObjectivesTo define a set of indicators that could be used to improve quality in intensive care medicine.MethodologyAn European Society of Intensive Care Medicine Task Force on Quality and Safety identified all commonly used key quality indicators. This international Task Force consisted of 18 experts, all with a self-proclaimed interest in the area. Through a modified Delphi process seeking greater than 90% consensual agreement from this nominal group, the indicators were then refined through a series of iterative processes.ResultsA total of 111 indicators of quality were initially found, and these were consolidated into 102 separate items. After five discrete rounds of debate, these indicators were reduced to a subset of nine that all had greater than 90% agreement from the nominal group. These indicators can be used to describe the structures (3), processes (2) and outcomes (4) of intensive care. Across this international group, it was much more difficult to obtain consensual agreement on the indicators describing processes of care than on the structures and outcomes.ConclusionThis document contains nine indicators, all of which have a high level of consensual agreement from an international Task Force, which could be used to improve quality in routine intensive care practice.

Prognostic performance and customization of the SAPS II: results of a multicenter Austrian study

Objectives: To evaluate the prognostic performance of the original Simplified Acute Physiology Score (SAPS) II in Austrian intensive care patients and to evaluate the impact of customization. Design: Analysis of the database of a multicenter study. Setting: Nine adult medical, surgical, and mixed intensive care units (ICUs) in Austria. Patients: A total of 1733 patients consecutively admitted to the ICUs. Measurements and results: The database included admission data, SAPS II, length of stay, and hospital mortality. The Hosmer–Lemeshow goodness-of-fit test for the SAPS II showed a lack of uniformity of fit (H = 89.1, 10 df, p < 0.0001; C = 91.8, 10 df, p < 0.0001). Subgroup analysis showed good performance in patients with cardiovascular (medical and surgical) diseases as the primary reasons for admission. A new predictive equation was derived by means of the logistic regression. Goodness-of-fit was excellent for the customized model (SAPS IIAM) (H = 11.2, 9 df, p = 0.33, C = 11.6, 9 df, p = 0.24). The mean standardized mortality ratio (SMR) changed from 0.81 ± 0.26 to 0.93 ± 0.29 with customization. Conclusions: SAPS II was not well calibrated when applied to all patients. However, it performed well for patients with cardiovascular diseases as the primary reason for admission and may thus be applied to these patients. Standardized mortality ratios that are calculated from scoring systems without known calibration must be viewed with skepticism.

Evaluation of an interdisciplinary data set for national intensive care unit assessment

OBJECTIVES To evaluate the ability of an interdisciplinary data set (recently defined by the Austrian Working Group for the Standardization of a Documentation System for Intensive Care [ASDI]) to assess intensive care units (ICUs) by means of the Simplified Acute Physiology Score II (SAPS II) for the severity of illness and the simplified Therapeutic Intervention Scoring System (TISS-28) for the level of provided care. DESIGN A prospective, multicentric study. SETTING Nine adult medical, surgical, and mixed ICUs in Austria. PATIENTS A total of 1234 patients consecutively admitted to the ICUs. INTERVENTIONS Collection of data for the ASDI data set. MEASUREMENTS AND MAIN RESULTS The overall mean SAPS II score was 33.1+/-2.1 points. SAPS II overestimated hospital mortality by predicting mortality of 22.2%+/-2.9%, whereas observed mortality was only 16.8%+/-2.2%. The Hosmer-Lemeshow goodness-of-fit test for SAPS II scores showed lacking uniformity of fit (H = 53.78, 8 degrees of freedom; p < .0001). TISS-28 scores were recorded on 8616 days (30.6+/-1.5 points). TISS-28 scores were higher in nonsurvivors than in survivors (30.4+/-0.9 vs. 25.7+/-0.4, respectively; p < .05). No significant correlation between mean TISS-28 per patient per unit on the day of admission and mean predicted hospital mortality (r2 = .23; p < .54) or standardized mortality ratio per unit (r2 = -.22; p < .56) was found. CONCLUSIONS Implementation of an interdisciplinary data set for ICUs provided data with which to evaluate performance in terms of severity of illness and provided care. The SAPS II did not accurately predict outcomes in Austrian ICUs and must, therefore, be customized for this population. A combination of indicators for both severity of illness and amount of provided care is necessary to evaluate ICU performance. Further data acquisition is needed to customize the SAPS II and to validate the TISS-28.

Monitoring of intracranial pressure in patients with severe traumatic brain injury: an Austrian prospective multicenter study

ObjectiveThe goals of this study were to elucidate reasons why patients did or did not receive intracranial pressure (ICP) monitoring and to describe factors influencing hospital mortality after severe traumatic brain injury (TBI).DesignProspective multicenter cohort study.Patients and participants88,274 patients consecutively admitted to 32 medical, surgical and mixed Austrian ICUs between 1998 and 2004.InterventionsNone.Measurements and results1,856 patients (2.1% of all ICU admissions) exhibited severe TBI (GCS < 9); of these, 1,031 (56%) had ICP monitoring. The “worst” and the “best” cases were both less likely to receive ICP monitoring. Younger patients, female patients, and patients with isolated TBI were more likely to receive ICP monitoring. Compared with large centers ICP was monitored more frequently [odds ratio (OR) 3.09, CI 2.42–3.94] in medium-sized centers. The 20% of patients with the highest likelihood to receive ICP monitoring were monitored in 91% of cases, and had the lowest hospital mortality (31%, OR 0.78, CI 0.37–1.64). Multivariate analysis revealed that severity of illness, TBI severity, isolated TBI, and the number of cases treated per year were associated with hospital outcome. Compared with the large centers, ORs for hospital mortality were 1.85 (CI 1.42–2.40) for patients from medium-sized centers and 1.91 (CI 1.24–2.93) for patients from small centers.ConclusionsICP monitoring may possibly have some beneficial effects, but this needs further evaluation. Patients with severe TBI should be admitted to experienced centers with high patient volumes since this might improve hospital mortality rates.