Accuracy of surgical complication rate estimation using ICD-10 codes.

BACKGROUND: The ICD-10 codes are used globally for comparison of diagnoses and complications, and are an important tool for the development of patient safety, healthcare policies and the health economy. The aim of this study was to investigate the accuracy of verified complication rates in surgical admissions identified by ICD-10 codes and to validate these estimates against complications identified using the established Global Trigger Tool (GTT) methodology. METHODS: This was a prospective observational study of a sample of surgical admissions in two Norwegian hospitals. Complications were identified and classified by two expert GTT teams who reviewed patients' medical records. Three trained reviewers verified ICD-10 codes indicating a complication present on admission or emerging in hospital. RESULTS: A total of 700 admissions were drawn randomly from 12 966 procedures. Some 519 possible complications were identified in 332 of 700 admissions (47·4 per cent) from ICD-10 codes. Verification of the ICD-10 codes against information from patients' medical records confirmed 298 as in-hospital complications in 141 of 700 admissions (20·1 per cent). Using GTT methodology, 331 complications were found in 212 of 700 admissions (30·3 per cent). Agreement between the two methods reached 83·3 per cent after verification of ICD-10 codes. The odds ratio for identifying complications using the GTT increased from 5·85 (95 per cent c.i. 4·06 to 8·44) to 25·38 (15·41 to 41·79) when ICD-10 complication codes were verified against patients' medical records. CONCLUSION: Verified ICD-10 codes strengthen the accuracy of complication rates. Use of non-verified complication codes from administrative systems significantly overestimates in-hospital surgical complication rates.

Attitudes of physicians towards the care of critically ill elderly patients - a European survey.

BACKGROUND: Very elderly patients are one of the fastest growing population in ICUs worldwide. There are lots of controversies regarding admission, discharge of critically ill elderly patients, and also on treatment intensity during the ICU stay. As a consequence, practices vary considerably from one ICU to another. In that perspective, we collected opinions of experienced ICU physicians across Europe on statements focusing on patients older than 80. METHODS: We sent an online questionnaire to the coordinator ICU physician of all participating ICUs of an recent European, observational study of Very old critically Ill Patients (VIP1 study). This questionnaire contained 12 statements about admission, triage, treatment and discharge of patients older than 80. RESULTS: We received answers from 162 ICUs (52% of VIP1-study) spanning 20 different European countries. There were major disagreements between ICUs. Responders disagree that: there is clear evidence that ICU admission is beneficial (37%); seeking relatives' opinion is mandatory (17%); written triage guidelines must be available either at the hospital or ICU level (20%); level of care should be reduced (25%); a consultation of a geriatrician should be sought (34%) and a geriatrician should be part of the post-ICU trail (11%). The percentage of disagreement varies between statements and European regions. CONCLUSION: There are major differences in the attitude of European ICU physicians on the admission, triage and treatment policies of patients older than 80 emphasizing the lack of consensus and poor level of evidence for most of the statements and outlining the need for future interventional studies.

The status of intensive care medicine research and a future agenda for very old patients in the ICU.

The "very old intensive care patients" (abbreviated to VOPs; greater than 80 years old) are probably the fastest expanding subgroup of all intensive care unit (ICU) patients. Up until recently most ICU physicians have been reluctant to admit these VOPs. The general consensus was that there was little survival to gain and the incremental life expectancy of ICU admission was considered too small. Several publications have questioned this belief, but others have confirmed the poor long-term mortality rates in VOPs. More appropriate triage (resource limitation enforced decisions), admission decisions based on shared decision-making and improved prediction models are also needed for this particular patient group. Here, an expert panel proposes a research agenda for VOPs for the coming years.

An observational study of community-acquired severe sepsis comparing intensive care and non-intensive care patients.

BACKGROUND: Most studies of sepsis are from intensive care units (ICUs). We aimed to investigate community-acquired severe sepsis in a broader population, in order to compare patients treated in or outside an ICU . METHODS: We performed a 1-year prospective observational study with enrollment of patients from three units; a general ICU, a combined ICU/non-ICU and a medical ward with limited surveillance facilities. Hospital survivors were followed up for 5 years. RESULTS: Overall, 220 patients were included, of which 107 received ICU treatment. The majority of abdominal (77%, P = 0.003) and genitourinary (81%, P < 0.001) infections were found in ICU and non-ICU patients, respectively. Time to first antibiotic administration was longer in ICU-patients (median 3.5 vs. 2.0 h in non-ICU patients, P = 0.011). ICU developed more organ dysfunctions than non-ICU patients (P < 0.001), nevertheless supportive therapy with vasoactive drugs and non-invasive ventilation was documented in 22% and 27% of the latter. Median hospital length of stay was 15 vs. 9 days (P = 0.001), and hospital and 5-year mortality rates 35% vs. 16% (P = 0.002) and 57% vs. 58% (P = 0.892) among ICU and non-ICU patients, respectively. Increasing age (HR 1.06 (1.04, 1.07) per year, P < 0.001), not care level during hospitalization (HR 1.19 (0.70, 2.02), P = 0.514), influenced long-term survival. CONCLUSION: Half of the subjects with community-acquired severe sepsis never received ICU treatment. Still, use of organ supportive therapy outside the ICU was considerable. Hospital mortality was higher, whereas 5-year survival was similar when comparing ICU with non-ICU patients.

Great variation between ICU physicians in the approach to making end-of-life decisions.

INTRODUCTION: End-of-life (EOL) decision-making in the intensive care unit (ICU) is difficult, but is rarely practiced in simulated settings. We wanted to explore different strategies ICU physicians use when making EOL decisions, and whether attitudes towards EOL decisions differ between a small-group simulation setting and a large-group plenary setting. METHODS: The study took place during a Scandinavian anaesthesiology and intensive care conference. The simulated ICU patient had a cancer disease with a grave prognosis, had undergone surgery, suffered from severe co-morbidities and had a son present demanding all possible treatment. The participants were asked to make a decision regarding further ICU care. We presented the same case scenario in a plenary session with voting opportunities. RESULTS: In the simulation group (n = 48), ICU physicians used various strategies to come to an EOL decision: patient-oriented, family-oriented, staff-oriented and regulatory-oriented. The simulation group was more willing than the plenary group (n = 47) to readmit the patient to the ICU if the patient again would need respiratory support (32% vs. 8%, P < 0.001). Still, fewer participants in the simulation group than in the plenary group (21% vs. 38%, P = 0.019) considered the patient's life expectancy of living an independent life to be over 10%. CONCLUSION: There was great variation between ICU physicians in the approach to making EOL decisions, and large variations in their life expectancy estimates. Participants in the simulation group were more willing to admit and readmit the patient to the ICU, despite being more pessimistic towards life expectancies. We believe simulation can be used more extensively in EOL decision-making training.

A calibration study of SAPS II with Norwegian intensive care registry data.

BACKGROUND: Mortality prediction is important in intensive care. The Simplified Acute Physiology Score (SAPS) II is a tool for predicting such mortality. However, the original SAPS II is poorly calibrated to current intensive care unit (ICU) populations because it draws on data, which is more than 20 years old. We aimed to improve the calibration of SAPS II using data from the Norwegian Intensive Care Registry (NIR). This is the first recalibration of SAPS II for Nordic data. METHODS: A first-level customization was applied to improve calibration of the original SAPS II model (Model A). NIR data used covered more than 90% of adult patients admitted to ICUs in Norway from 2008 to 2010 (n = 30712). RESULTS: The modified SAPS II, Model B, outperformed the original Model A with respect to calibration. Model B gave more accurate predictions of mortality than Model A (Hosmer-Lemeshow's C: 22.01 vs. 689.07; Brier score: 0.120 vs. 0.131; Cox's calibration regression: α = -0.093 vs. -0.747, ß = 0.921 vs. 0.735, (α|ß = 1) = -0.009 vs. -0.630). The standardized mortality ratio was 0.73 [95% confidence interval (CI) of 0.70-0.76] for Model A and 0.99 (95% CI of 0.95-1.04) for Model B. Discrimination was good for both models (area under receiver operating characteristic curve = 0.83 for both models). CONCLUSIONS: As expected, Model B is better calibrated than Model A, and both models have similar uniformity of fit and equal discrimination. Introducing Model B into Norwegian ICUs may improve precision in decision-making. Units will have a more realistic benchmark for the assessment of ICU performance. Mortality risk estimates from Model B are better than previous SAPS II estimates have been.

Cognitive effects of hospital calls in anaesthesiologists.

BACKGROUND: The work hours of Norwegian physicians are under scrutiny because of an increased public focus on patient safety. Ample international research indicate harmful effects of doctor fatigue based on studies on physicians working long weeks and on-call shifts of more than 30 consecutive hours. There is a lack of research on effects relevant for short or intermediate length of work weeks and call shifts. This study intended to study cognitive effects of short or intermediate duration in-hospital calls. METHODS: Eighteen anaesthesiology residents working on-call at an operation ward or an intensive care unit at Haukeland University Hospital were invited to participate. Schedules were adapted to allow for two additional experimental shifts. Participants were subjected to Cambridge Neuropsychological Test Automated Battery cognitive testing in a rested state and on three occasions after call. Amount of sleep and self-assessed sleepiness were recorded. RESULTS: Ten residents completed all four tests during 10 months. Reaction time was longer post-call. It was significantly increased only after the 18 h night call, by 21.1 and 20.5 ms for simple and five-choice reaction time, respectively. Executive function was not significantly altered post-call. Visual memory was improved post-call. Karolinska Sleepiness Score was increased by 3.3 (long day), 2.1 (short night) and 2.5 (long night) points post-call. CONCLUSION: Reaction times were increased after 18 h night calls and non-significant increases in reaction times were apparent after the other on-call shifts. Self reported sleepiness was increased post-call. We were not able to conclude whether executive function or memory was negatively affected post-call.

Necrotizing soft tissue infections caused by Streptococcus pyogenes and Streptococcus dysgalactiae subsp. equisimilis of groups C and G in western Norway.

Streptococcus pyogenes (group A streptococcus, GAS) is a major cause of necrotizing soft tissue infection (NSTI). On rare occasions, other ß-haemolytic streptococci may also cause NSTI, but the significance and nature of these infections has not been thoroughly investigated. In this study, clinical and molecular characteristics of NSTI caused by GAS and ß-haemolytic Streptococcus dysgalactiae subsp. equisimilis of groups C and G (GCS/GGS) in western Norway during 2000-09 are presented. Clinical data were included retrospectively. The bacterial isolates were subsequently emm typed and screened for the presence of genes encoding streptococcal superantigens. Seventy cases were identified, corresponding to a mean annual incidence rate of 1.4 per 100 000. Sixty-one of the cases were associated with GAS, whereas GCS/GGS accounted for the remaining nine cases. The in-hospital case fatality rates of GAS and GCS/GGS disease were 11% and 33%, respectively. The GCS/GGS patients were older, had comorbidities more often and had anatomically more superficial disease than the GAS patients. High age and toxic shock syndrome were associated with mortality. The Laboratory Risk Indicator for Necrotizing Fasciitis laboratory score showed high values (≥6) in only 31 of 67 cases. Among the available 42 GAS isolates, the most predominant emm types were emm1, emm3 and emm4. The virulence gene profiles were strongly correlated to emm type. The number of superantigen genes was low in the four available GCS/GGS isolates. Our findings indicate a high frequency of streptococcal necrotizing fasciitis in our community. GCS/GGS infections contribute to the disease burden, but differ from GAS cases in frequency and predisposing factors.

The variability of critical care bed numbers in Europe.

PURPOSE: To quantify the numbers of critical care beds in Europe and to understand the differences in these numbers between countries when corrected for population size and gross domestic product. METHODS: Prospective data collection of critical care bed numbers for each country in Europe from July 2010 to July 2011. Sources were identified in each country that could provide data on numbers of critical care beds (intensive care and intermediate care). These data were then cross-referenced with data from international databases describing population size and age, gross domestic product (GDP), expenditure on healthcare and numbers of acute care beds. RESULTS: We identified 2,068,892 acute care beds and 73,585 (2.8 %) critical care beds. Due to the heterogeneous descriptions of these beds in the individual countries it was not possible to discriminate between intensive care and intermediate care in most cases. On average there were 11.5 critical care beds per 100,000 head of population, with marked differences between countries (Germany 29.2, Portugal 4.2). The numbers of critical care beds per country corrected for population size were positively correlated with GDP (r(2) = 0.16, p = 0.05), numbers of acute care beds corrected for population (r(2) = 0.12, p = 0.05) and the percentage of acute care beds designated as critical care (r(2) = 0.59, p < 0.0001). They were not correlated with the proportion of GDP expended on healthcare. CONCLUSIONS: Critical care bed numbers vary considerably between countries in Europe. Better understanding of these numbers should facilitate improved planning for critical care capacity and utilization in the future.

The present use of quality indicators in the intensive care unit.

Quality indicators (QIs) are increasingly used in medicine in order to compare and eventually to improve quality of delivered health care. During the last decade, QIs also have been used within intensive care medicine. This paper shortly describes this development and gives an overview of QIs in the intensive care unit (ICU) reported to be in use at national level. Using a search on PubMed and through World Wide Web, QIs documented to be in use at a national level were retrieved. The various sets of QI were compared, and the method to select QIs was found. The search retrieved national indicators from eight countries (United Kingdom, the Netherlands, Spain, Sweden, Germany, Scotland, Austria and India). A total of 63 QIs were in use, and no single indicator was common for all countries. The most frequently used indicator was the standardised mortality rate (in six of eight countries). Measurements of patient/family satisfaction, the presence of an ICU specialist 24/7 and the occurrence of ventilator-associated pneumonia were all used by five countries. All primarily used a physician-driven process to select national QIs. This survey reveals that the concept of QIs is perceived differently throughout countries, also within developed countries in Western Europe. At present, it will be difficult to use national QIs to compare the quality of intensive care between countries.

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).

OBJECTIVES: To define a set of indicators that could be used to improve quality in intensive care medicine. METHODOLOGY: An 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. RESULTS: A 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. CONCLUSION: This 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.