Cause of death in intensive care patients within 2 years of discharge from hospital

Similar documents
Scottish Hospital Standardised Mortality Ratio (HSMR)

The impact of an ICU liaison nurse service on patient outcomes

MET CALLS IN A METROPOLITAN PRIVATE HOSPITAL: A CROSS SECTIONAL STUDY

The effects of introduction of new observation charts and calling criteria on call characteristics and outcome of hospitalised patients

Supplementary Online Content

NHS performance statistics

ICU Research Using Administrative Databases: What It s Good For, How to Use It

MINIMUM STANDARDS FOR INTENSIVE CARE UNITS SEEKING ACCREDITATION FOR TRAINING IN INTENSIVE CARE MEDICINE

Death and readmission after intensive care the ICU might allow these patients to be kept in ICU for a further period, to triage the patient to an appr

NHS Performance Statistics

Frequently Asked Questions (FAQ) Updated September 2007

CLINICAL PREDICTORS OF DURATION OF MECHANICAL VENTILATION IN THE ICU. Jessica Spence, BMR(OT), BSc(Med), MD PGY2 Anesthesia

NHS performance statistics

Patients admitted to Australian intensive care units: impact of remoteness and distance travelled on patient outcome

Researcher: Dr Graeme Duke Software and analysis assistance: Dr. David Cook. The Northern Clinical Research Centre

Unit length of stay and APACHE II scores for ventilated admissions to critical care in England, Wales and Northern Ireland

Towards a national model for organ donation requests in Australia: evaluation of a pilot model

Nursing skill mix and staffing levels for safe patient care

An evaluation of road crash injury severity using diagnosis based injury scaling. Chapman, A., Rosman, D.L. Department of Health, WA

Type of intervention Secondary prevention of heart failure (HF)-related events in patients at risk of HF.

How BC s Health System Matrix Project Met the Challenges of Health Data

April Clinical Governance Corporate Report Narrative

Surgical Variance Report General Surgery

Version 2 15/12/2013

Continuously Measuring Patient Outcome using Variable Life-Adjusted Displays (VLAD)

Metro South Health Intensive Care Services Strategy

Understanding Readmissions after Cancer Surgery in Vulnerable Hospitals

Cost impact of hospital acquired diagnoses and impacts for funding based on quality signals Authors: Jim Pearse, Deniza Mazevska, Akira Hachigo,

Statistical Analysis Plan

Predicting Death. Estimating the proportion of deaths that are unexpected. National End of Life Care Programme

Productivity Commission report on Public and Private Hospitals APHA Analysis

Hospital at home or acute hospital care: a cost minimisation analysis Coast J, Richards S H, Peters T J, Gunnell D J, Darlow M, Pounsford J

Public Dissemination of Provider Performance Comparisons

Protocol. This trial protocol has been provided by the authors to give readers additional information about their work.

Suicide Among Veterans and Other Americans Office of Suicide Prevention

Chapter 39 Bed occupancy

A preliminary analysis of differences in coded data from Australia and Maryland

Number of sepsis admissions to critical care and associated mortality, 1 April March 2013

Early Recognition of In-Hospital Patient Deterioration Outside of The Intensive Care Unit: The Case For Continuous Monitoring

Outline. Disproportionate Cost of Care. Health Care Costs in the US 6/1/2013. Health Care Costs

The ANZICS CORE: an evolution in registry activities for intensive care in Australia and New Zealand

You MUST refer to the Explanatory Notes & Checklist to complete the application form.

Staphylococcus aureus bacteraemia in Australian public hospitals Australian hospital statistics

About the Data: Adult Health and Disease - Chronic Illness 2016/17, 2014/15 (archived) Last Updated: August 29, 2018

EuroHOPE: Hospital performance

A high percentage of patients were referred to critical care by staff in training; 21% of referrals were made by SHOs.

Increased mortality associated with week-end hospital admission: a case for expanded seven-day services?

Study Title: Optimal resuscitation in pediatric trauma an EAST multicenter study

Title: Senior Medical Officer Department: Cardiothoracic and Vascular ICU (CVICU) and HDU. Clinical Director, Cardiothoracic and Vascular ICU and HDU

FY2013-FY2014 CHANGES TO ICD-9-CM CODING HANDBOOK WITH ANSWERS

Enhanced Recovery: Measurement for Improvement Monthly Data Submission Guidance. Version 1.0

APPLICATION FOR ASSESSMENT AS A MEDICAL PHYSICIST FOR MIGRATION PURPOSES

National Hospice and Palliative Care OrganizatioN. Facts AND Figures. Hospice Care in America. NHPCO Facts & Figures edition

The Role of Analytics in the Development of a Successful Readmissions Program

INTENSIVE CARE UNIT UTILIZATION

INCENTIVE OFDRG S? MARTTI VIRTANEN NORDIC CASEMIX CONFERENCE

Causes and Consequences of Regional Variations in Health Care Resources in Ontario

New Facts and Figures on Hospice Care in America

Minority Serving Hospitals and Cancer Surgery Readmissions: A Reason for Concern

UK Renal Registry 20th Annual Report: Appendix A The UK Renal Registry Statement of Purpose

VJ Periyakoil Productions presents

O U T C O M E. record-based. measures HOSPITAL RE-ADMISSION RATES: APPROACH TO DIAGNOSIS-BASED MEASURES FULL REPORT

The Royal Wolverhampton Hospitals NHS Trust

Improving communication of the daily care plan in a teaching hospital intensive care unit

Expert Rev. Pharmacoeconomics Outcomes Res. 2(1), (2002)

Hospital Events 2007/08

Objectives 2/23/2011. Crossing Paths Intersection of Risk Adjustment and Coding

The Memphis Model: CHN as Community Investment

Secondary Care. Chapter 14

Contextualising the End TB Strategy for a Push toward TB Elimination in Kerala. Sunil Kumar

Communication tools for end-of-life decision-making in the intensive care unit: a systematic review and meta-analysis

2018 Optional Special Interest Groups

Does Computerised Provider Order Entry Reduce Test Turnaround Times? A Beforeand-After Study at Four Hospitals

Case-mix Analysis Across Patient Populations and Boundaries: A Refined Classification System

Surgical Critical Care Sub I

Do Not Attempt Cardiopulmonary Resuscitation (DNACPR) orders: Current practice and problems - and a possible solution. Zoë Fritz

Admissions and Readmissions Related to Adverse Events, NMCPHC-EDC-TR

Domiciliary non-invasive ventilation for recurrent acidotic exacerbations of COPD: an economic analysis Tuggey J M, Plant P K, Elliott M W

STRATIFICATION GUIDE 2018

HIMSS ASIAPAC 11 CONFERENCE & LEADERSHIP SUMMIT SEPTEMBER 2011 MELBOURNE, AUSTRALIA

Analyzing Readmissions Patterns: Assessment of the LACE Tool Impact

Admissions with neutropenic sepsis in adult, general critical care units in England, Wales and Northern Ireland

Focus on hip fracture: Trends in emergency admissions for fractured neck of femur, 2001 to 2011

Pricing and funding for safety and quality: the Australian approach

Factors that Impact Readmission for Medicare and Medicaid HMO Inpatients

My Discharge a proactive case management for discharging patients with dementia

Supporting Best Practice for COPD Care Across the System

Department of Cardiology

TEMPORARY CONSULTANT IN INTENSIVE CARE MEDICINE (TYPE B) National Clinical Programme Integrated Care Programme Patient Flow Job Description

Lessons learned from VASM cases. Barry Beiles Clinical Director VASM

PA Education Worldwide

Newborn bloodspot screening

Reference costs 2016/17: highlights, analysis and introduction to the data

Questions. Background to the ICNARC Case Mix Programme

Nursing Students Information Literacy Skills Prior to and After Information Literacy Instruction

The new chronic psychiatric population

Dr. Hanan E. Badr, MD, MPH, DrPH Faculty of Medicine, Kuwait University

Technical Notes on the Standardized Hospitalization Ratio (SHR) For the Dialysis Facility Reports

The Royal College of Surgeons of England

Hospital Value-Based Purchasing (VBP) Program

Transcription:

Cause of death in intensive care patients within 2 years of discharge from hospital Peter R Hicks and Diane M Mackle Understanding of intensive care outcomes has moved from focusing on intensive care unit outcomes to hospital outcomes and now to longer-term outcomes. The rates of survival after discharge from hospital are well reported 1-6 and vary with country and time. Two recently published Australian studies found survival rates of 93% 95% at 1 year and 90% at 3 years. 2,6 What a patient dies from after discharge has been less well reported. Two European studies published in 1990 3 and 1992 4 reported the causes of death after discharge in general intensive care populations. Only one 4 examined whether the cause of death was related to the intensive care or hospital diagnosis. The aim of our study was to identify intensive care patients dying within 2 years of discharge from hospital and assess whether the cause of death was related to the diagnosis at hospital discharge. Crit Care Resusc ISSN: 1441-2772 1 June Methods 2010 12 2 78-82 Crit Care Resusc 2010 We www.jficm.anzca.edu.au/aaccm/journal/publications.htm to the ICU at Wellington, New Zealand, conducted a retrospective cohort study of all patients admitted between Original 1 articles July 2001 and 30 June 2003, using data from the ICU database. Wellington ICU is a 14-bed closed tertiary unit with a broad casemix of patients, including cardiothoracic, neurosurgical, surgical, medical and some paediatric patients. A 2-year follow up period after discharge was planned. In 2006, the National Health Index number for each patient in the study was sent to the national death registry to match it against death records. Where a death was identified, the registry returned the date of death and a primary cause of death expressed as an International classification of diseases (ICD-10) code. Deaths within 2 years of hospital discharge were included in the outcome assessment. Any deaths occurring after this time were excluded from the assessment. No censoring of data was required. For each patient, the Wellington discharge diagnosis (ICD-10 code) was obtained from the hospital patient information system. Where patients had several hospital admissions with ICU admissions within the study period, the last hospital admission was used. If a patient was transferred from Wellington to another hospital, the hospital outcome at the other hospital was followed up to determine whether the patient died or was discharged. For transferred patients, the discharge diagnosis from Wellington was used as it related to the intensive care admission. ABSTRACT Objective: To identify intensive care patients dying within 2 years of discharge from hospital and assess whether the cause of death was related to the diagnosis at hospital discharge. Design, setting and participants: A retrospective cohort study of all patients admitted to the intensive care unit at Wellington, New Zealand, between 1 July 2001 and 30 June 2003, using data from the ICU database. Mortality data were obtained from the New Zealand National Death Registry. Main outcome measures: Death within 2 years of hospital discharge; cause of death and its relation to the hospital discharge diagnosis. Results: Of 1984 patients discharged home, 193 died within 2 years. One-year and 2-year survival rates were 93.8% and 90.3%, respectively. Two-year mortality rates were 4.6% in elective cardiac surgical patients, 19.7% in elective noncardiac surgical patients, 16.9% in acute patients admitted from the operating room, and 10.2% in other acute patients. Among the 193 patients who died after discharge, 124 deaths (64.2%) were related to the diagnosis at hospital discharge. The mortality rate in this group was highest at 3 months (90.5%) and lower at 6 months (75.0%), then averaged 51.4% after 6 months. Cause of death was related to discharge diagnosis in 46.2% of elective cardiac surgical patients, 66.6% of elective non-cardiac surgical patients, 60.5% of acute patients admitted from the operating room, and 75.4% of other acute patients. Cancer was the cause of death in 34.2% of elective cardiac surgical patients, 66.7% of elective non-cardiac surgical patients, 48.8% of acute patients admitted from the operating room, and 29.0% of other acute patients. Conclusion: Survival rates of ICU patients after discharge from hospital are high. Deaths are closely related to the discharge diagnosis only in the first 6 months after discharge. Cancer is a common cause of death. Elective non-cardiac surgical patients have the worst outcomes. Crit Care Resusc 2010; 12: 78 82 For patients who died after discharge from hospital, the relationship between the hospital discharge diagnosis and death registry cause of death was graded as related or not related. If the registry s ICD-10 cause of death code 78

was exactly the same as the hospital discharge diagnosis code, the relationship was classed as related. For patients whose codes did not match exactly, the registry cause of death and hospital discharge diagnosis were manually compared to assess the relationship. The ICU admission and discharge reports were reviewed to provide additional clinical information and some context to the hospital diagnosis. The two diagnoses were defined as related when they were the same or were part of the same single disease process. The ICU used the APACHE II (Acute Physiology and Chronic Health Evaluation II) diagnostic codes in the patient database but did not collect APACHE II severity-of-illness scores during the study period. All ICU admission diagnoses were compared with hospital discharge diagnoses to ensure they were related. For analysis, ICU admissions where divided in four categories: elective cardiac surgery, elective non-cardiac surgery, acute admissions from the operating room and other acute admissions. Post-discharge deaths were compared between groups. Age- and sex-specific annual death rates for 2000 2002 were obtained from Statistics New Zealand 7 and were used to calculate the predicted number of deaths among hospital survivors. Ethics approval Our study was approved by the Wellington Regional Ethics Committee. Requirement for patient consent was waived. Results The study group comprised 2376 patients who had 2446 admissions to Wellington and 2574 admissions to the ICU. Of these patients, 1506 (63.4%) were male and 870 (36.6%) were female. Of the index ICU admissions, 45.9% of patients were elective and 78.1% required ventilation. The median length of stay for all intensive care admissions was 24 hours (interquartile range, 19 50 hours), with 168 patients (6.5%) staying longer than 7 days. Table 2. Two-year outcomes of patients discharged from hospital Number of patients % Admissions and deaths Intensive care admissions 2574 admissions 2446 Patients 2376 Intensive care deaths 259 10.9% Wellington deaths 88 3.7% Other hospital deaths 45 1.9% Total hospital deaths 392 16.5% survivors 1984 Deaths at 0 6 months 72 3.6% Deaths at 7 12 months 51 2.7% Deaths at 13 18 months 35 1.9% Deaths at 19 24 months 35 1.9% Total deaths within 2 years 193 9.7% Table 1. Age distribution of deaths after hospital discharge Decade survivors Deaths at 2 years Predicted deaths at 2 years* n n (%) n (%) 0 86 3 (3.5%) 0.17 (0.2%) 10 85 2 (2.4%) 0.09 (0.1%) 20 123 2 (1.6%) 0.22 (0.2%) 30 142 1 (0.7%) 0.27 (0.2%) 40 201 11 (5.5%) 0.81 (0.4%) 50 322 32 (9.9%) 3.41 (1.1%) 60 474 55 (11.6%) 13.04 (2.9%) 70 460 61 (13.1%) 36.54 (7.4%) 80 82 26 (31.7%) 15.45 (18.0%) 90 3 0 1.28 (42.8%) Totals 1984 193 (9.7%) 71.29 (3.6%) * In the general New Zealand population. Table 3. Deaths in hospital and within 2 years after hospital discharge, by admission type Number of patients deaths (%) survivors Died within 2 years (%) Related* (%) Not related* (%) Elective surgery Cardiac Acute admissions Noncardiac From OR Other Total 863 228 329 956 2376 24 (2.8%) 15 (6.6%) 75 (22.8%) 278 (29.1%) 392 (16.5%) 839 213 254 678 1984 39 (4.6%) 18 (46.2%) 21 (53.8%) 42 (19.7%) 28 (66.7%) 14 (33.3%) 43 (16.9%) 26 (60.5%) 17 (39.5%) 69 (10.2%) 52 (75.4%) 17 (24.6%) 193 (9.7%) 124 (64.2%) 69 (35.8%) OR = operating room. * Whether cause of death was related or not related to diagnosis at hospital discharge. 79

Table 4. Proportion of deaths related to cancer, by admission type Discussion This is the first study in Australia or New Zealand to evaluate the cause of death after hospital discharge of a general intensive care population of patients. The logistics of our study were straightforward because of the national unique health identifier and the contained population. We do not know whether any of the study patients emigrated overseas during the follow-up period. It is likely the 12 non-resident patients who were discharged from hospital will have returned overseas, representing a loss of 0.6% of the study population. In 2000, 58 700 people left New Zealand as permanent or long-term migrants. 8 This was 3.8% of the New Zealand population (although predominantly in the 20 40-year age group). In attempting to match hospital discharge codes with causes of death, we found an exact match in only a third of cases. Using the ICD-10 code letter only increased the match rate to 71.0% but produced 10 false positives. This is disappointing, as there remains a need to manually review at least 50% of deaths and this has logistic implications for researchers wishing to review much larger populations. The ICU mortality rate, hospital mortality rate, and 1-year and 2-year survival rates were similar to those reported in other recent studies, 1,2,6 but lower than those of two earlier studies. 3,4 The hospital mortality rates were casemixdependent: our elective cardiac surgical patients had a much lower hospital mortality rate (2.8%) than the non- Admission type Relationship* No. of deaths Cancer (%) Elective cardiac surgery Related 18 0 Not related 21 13 (61.9%) Subtotal 39 13 (34.2%) Elective non-cardiac surgery Related 28 24 (85.7%) Not related 14 4 (28.6%) Subtotal 42 28 (66.7%) Acute admission from OR Related 26 20 (76.9%) Not related 17 1 (5.9%) Subtotal 43 21 (48.8%) Other acute admission Related 52 14 (26.9%) Not related 17 6 (35.3%) Subtotal 69 20 (29.0%) Total Related 124 58 (46.8%) Not related 69 24 (34.8%) Total overall All 193 82 (42.5%) OR = operating room. * Whether cause of death was related or not related to diagnosis at hospital discharge. ranging from 10.2% to 19.7%. The proportion of deaths related to hospital diagnosis ranged from 46.2% to 75.4%. It became evident that cancer was a prominent cause of death. All deaths were manually reviewed to see which ones had a death registry cancer diagnosis (Table 4). Overall, 46.8% of related deaths and 34.8% of non-related deaths had cancer as the principal diagnosis. Elective non-cardiac surgical patients had the highest cancer rates, reflecting the underlying reason for their ICU admission. A surprising finding was the high proportion of cancer deaths among cardiac surgical patients. Four patients committed suicide after discharge from hospital. Their ICU admissions had been the result of cancer surgery, non-cancer laparotomy and carotid injury from a suicide attempt. Fourteen patients were not resident in New Zealand when admitted to intensive care and two of them died in hospital. Treatment was withdrawn in 169 patients in intensive care and 167 died in hospital, with the remaining 2 patients dying at 101 and 301 days, respectively, after discharge. Another 65 patients had treatment limitations in place in the ICU without withdrawal of treatment: 54 died in hospital, five died within 80 days of discharge, and the remaining six were alive at 2 years. The age distribution of patients, by decade, is shown in Table 1. Outcomes are shown in Table 2. Of 1984 patients surviving hospital, 193 (9.7% [95% CI, 8.3% 11.0%]) died within 2 years of discharge. This was compared with the predicted proportion of deaths from New Zealand lifeexpectancy data (3.6%). Of 128 patients aged 80 years and over admitted to the ICU, 69 (53.9%) died within 2 years. Two years after discharge, 124 patient deaths (64.2% [95% CI, 57.5% 70.0%]) were related to the patient s diagnosis on hospital admission. The proportion of related deaths was 90.5% in the first 3 months, 75.0% in the second 3 months, and 50.0%, 48.5% and 54.2%, respectively, for each subsequent 6-month period after discharge. Of the 124 related deaths, 42 patients (33.9%) were matched by ICD-10 diagnosis codes and 82 patients were matched manually. ICD-10 disease codes have a letter and 3 or 4 digits (eg, C18.7: malignant neoplasm of sigmoid colon). Using the letter and one digit in the matching process improved the positive matching to 56.5%, with no false positives. Using the letter only produced 10 false positives (sensitivity, 71.0%; specificity, 85.5%). All the false positives were cerebrovascular diagnoses (I60 I69) matched to cardiac diagnoses (I01 I52). Patients deaths were further analysed by ICU admission category (Table 3). Elective cardiac surgical patients had the lowest post-discharge mortality at 2 years (4.6%), with patients in the other categories having mortality rates 80

elective patients (22.8% and 29.1%). As the earlier studies did not have cardiac surgical patients in their units, the hospital survival rates are not comparable. The purpose of our study was to examine the cause of death and see how it related to the hospital discharge diagnosis. Overall, 64.3% of deaths were related to hospital diagnosis. This compares to 64% found in a 1990 Scottish study. 4 In our study, the proportion of related deaths was highest in the first 6 months and declined for the remaining 6-month periods up to 2 years. This would fit with our intuitive understanding that patients are more likely to die from the condition diagnosed at hospital discharge during the immediate period after discharge. However, our presumption was that the proportion of related deaths would remain higher than 50% for longer than 6 months. The proportion of related deaths after 6 months appears to be relatively consistent, but could reflect changing ratios in differing diagnostic subgroups. The number of deaths in each subgroup were too small to allow further comparative analysis. Patients having elective cardiac surgery had the lowest mortality rate, but half their deaths were not related to heart disease. There was a surprisingly high proportion of cancer deaths within these patients, and further review is needed to examine whether the cancers were known of at the time of ICU admission. Non-cardiac elective surgical patients had a low hospital mortality rate (6.6%) but a high 2-year mortality rate after discharge (19.7%), which probably reflects the reasons for ICU admission. The operations were mostly for vascular surgery or general surgery in patients with cancer, who had significant comorbidities. Comorbidities are not quantifiable within our ICU database. They may contribute to admission to ICU without being the admission diagnosis. Overall, 66.7% of post-discharge deaths in non-cardiac elective surgical patients were cancerrelated. This suggests the deaths were more related to the underlying disease than the comorbidities, but there was no control group to compare with. Elective non-cardiac surgical patients were the group with the highest post-discharge mortality in our study. Compared with acute admission patients, they had a lower hospital mortality rate and a shorter length of ICU stay, and were less likely to be ventilated. Although this suggested that they might do better in the longer term, this was not the case. Acute surgical patients also had a high 2-year mortality rate (16.9%), and 60.5% of deaths were related to the hospital diagnosis. As with elective surgical patients, cancer was the predominant cause of related deaths. Acute non-surgical (medical) patients had a lower mortality rate (10.2%) than surgical patients, but mortality was highly related to the hospital diagnosis (75.3%) and possibly reflected the progression of chronic medical illnesses. The median time to death was shorter in this group than in the other groups, with most deaths occurring in the first 6 months. Cancer was a less common cause of death in this group. Our results have implications for how we assess longterm outcomes, the possible effect of ICU treatments on those outcomes, and the advice we give to patients and families. If the cause of death is not related to the diagnosis on hospital discharge or ICU admission, how will the intensive care treatment we provide have any effect on long-term survival once a patient is discharged? Other studies have shown that the severity of illness on admission to intensive care has an effect that lasts for several years after discharge. 2,5 Unfortunately, in our study we did not have access to severity-of-illness data to compare with the relative cause of death. The fact that half the deaths after 6 months in our study population were not related to hospital discharge diagnosis suggests that any effect the severity of illness has may not be specific to the admission disease. Alternatively, it may be that the effect the severity of illness has is strong enough to not be masked by the 50% of deaths that are not related. The outcome measure for clinical trials has moved from mortality in hospital to mortality at 28 days and now 90 days after enrolment. In our study, 90.5% of deaths within 3 months of discharge were related to the hospital diagnosis. Pushing a study outcome to a period longer than 6 months may introduce some error, as half of the late deaths may not be related to the ICU or hospital diagnosis. The prominence of cancer as a cause of death in our study suggests that study and control groups in clinical trials may need to be matched for the incidence of cancer at enrolment. Cancer is a prominent cause of death in the general population (28% 9 ) and was the cause of death in 42.5% of our study patients after discharge. This compares with 31% and 40%, respectively, in earlier studies. 3,4 As we were unable to identify which patients had cancer at the time of admission to intensive care or when the cancer was identified, our interpretation was limited. We could not ascertain how many cancers were first discovered after hospital discharge and were thus probably unrelated to the ICU admission and severity of illness. Further review of these patients is needed to investigate these relationships. Conclusion The 2-year survival rate among ICU patients after hospital discharge is high (90.3%). Most deaths within the first 3 months after discharge were related to the hospital discharge diagnosis (90.5%), but this fell to 51.4% after 1 year. In 42.5% of all patients who died, cancer was the 81

cause of death. Non-cardiac elective surgical patients had the highest 2-year mortality rate after discharge (19.7%) due to cancer, despite having a low hospital mortality rate (6.6%). Author details Peter R Hicks, Intensive Care Specialist Diane M Mackle, Research Nurse Intensive Care Unit, Wellington, Wellington, New Zealand. Correspondence: Peter.hicks@ccdhb.org.nz References 1 Williams TA, Dobb GJ, Finn JC, Webb SA. Long-term survival from intensive care: a review. Intensive Care Med 2005; 31: 1306-15. 2 Williams TA, Dobb GJ, Finn JC, et al. Data linkage enables evaluation of long term survival after intensive care. Anaesth Intens Care 2006: 34: 307-15. 3 Dragsted L, Qvist J. Outcome from intensive care. V. A 5 year study of 1308 patients: underlying causes of death. Eur J Anaesthesiol 1990; 7: 159-68. 4 Ridley S, Purdie J. Cause of death after critical illness. Anaesthesia 1992; 47: 116-9. 5 Wright JC, Plenderleith L, Ridley SA. Long-term survival following intensive care: subgroup analysis and comparison with the general population. Anaesthesia 2003; 58: 637-42. 6 Mullany DV, Foot CL, Smith SE, et al. Methods and preliminary results for a data linkage project to determine long term survival after intensive care unit admission. Crit Care Resusc 2009; 11: 191-7. 7 Statistics New Zealand. Period life tables. http://www.stats.govt.nz/ methods_and_services/access-data/tables/period-life-tables.aspx (accessed Nov 2009). 8 Statistics New Zealand. Tourism and migration 2003. http:// www.stats.govt.nz/methods_and_services/access-data/tables/tourism-migration-2003.aspx (accessed Nov 2009). 9 New Zealand Ministry of Health. Mortality and demographic data 2002 and 2003. Wellington: New Zealand Health Information Service, 2006. http://www.moh.govt.nz/moh.nsf/files/mortdemo/ $file/mortality02-03.pdf (accessed Dec 2009) The Journal of the College of Intensive Care Medicine of Australia and New Zealand Critical Care and Resuscitation is a quarterly publication (ISSN 1441-2772) with original articles of scientific and clinical interest in the specialties of Critical Care, Intensive Care, Anaesthesia, Emergency Medicine and related disciplines. The Journal is published by the Australasian Medical Publishing Company. Subscription rates Within Australia personal $110.00 Within Australia institutional $165.00 Outside Australia personal $120.00 Outside Australia institutional$200.00 (All amounts are specified in Australian dollars and include GST) SUBSCRIPTION FORM Surname... Given name... Address...... Please make cheque/money order of $... payable to the College of Intensive Care Medicine (CICM) or Charge to: Mastercard Visa Card Number Expiry date... /...... Phone... Fax... Email... Signature... Cardholder's name... Specialty... Secondary interest... Mail order to: Subscriptions, Critical Care and Resuscitation Suite 101, 168 Greville Street Prahran, VIC 3181 Australia 82