Quality of end-of-life communication in 2 high-risk ICU cohorts: a retrospective cohort study

BACKGROUND

Factors influencing the quality of end-of-life communication are relevant to improving end-of-life care. We assessed the quality of end-of-life communication and influencing factors in 2 intensive care unit (ICU) cohorts at high risk of death: patients living in nursing homes and those on extracorporeal membrane oxygenation (ECMO).

METHODS

This retrospective cohort study included admissions to 4 ICUs in Winnipeg, Manitoba, from 2000 to 2017. We identified cohorts and influencing factors from the Winnipeg ICU database and by manual chart review. We assessed quality of end-of-life communication using 18 validated, binary quality indicators to calculate a weighted, scaled, composite score (range 0-100). We used median regression to identify factors associated with the composite score.

RESULTS

The ECMO cohort (n = 109) was younger than the nursing home cohort (n = 230), with longer hospital stays and higher disease severity. Mean composite scores of end-of-life communication were extremely low in both cohorts (mean 48.5 [standard error of the mean (SEM) 1.7] for the nursing home cohort, 49.1 [SEM 2.5] for the ECMO cohort). Patient characteristics associated with higher median composite scores were older age (5.0 per decade, 95% confidence interval [CI] 2.1-7.8) and lower (worse) Glasgow Coma Scale (GCS) scores (1.8 per GCS point, 95% CI 0.5-3.2). The median composite score rose significantly over time (1.7 per year, 95% CI 0.5-2.8).

INTERPRETATION

The quality of end-of-life communication in ICUs is poor, and factors associated with better prognosis are also associated with worse communication. Direct and early communication should occur with all patients in the ICU and their surrogates, not just those who are believed most likely to die.

Association of Severe Trauma With Work and Earnings in a National Cohort in Canada

Importance

Traumatic injury disproportionately affects adults of working age. The ability to work and earn income is a key patient-centered outcome. The association of severe injury with work and earnings appears to be unknown.

Objective

To evaluate the association of severe traumatic injury with subsequent employment and earnings in long-term survivors.

Design, Setting, and Participants

This is a retrospective, matched, national, population-based cohort study of adults who had employment and were hospitalized with severe traumatic injury in Canada between January 2008 and December 2010. All acute care hospitalizations for severe injury were included if they involved adults aged 30 to 61 years who were hospitalized with severe traumatic injury, working in the 2 years prior to injury, and alive through the third calendar year after their injury. Patients were matched with unexposed control participants based on age, sex, marital status, province of residence, rurality, baseline health characteristics, baseline earnings, self-employment status, union membership, and year of the index event. Data analysis occurred from March 2019 to December 2019.

Main Outcomes and Measures

Changes in employment status and annual earnings, compared with unexposed control participants, were evaluated in the third calendar year after injury. Weighted multivariable probit regression was used to compare proportions of individuals working between those who survived trauma and control participants. The association of injury with mean yearly earnings was quantified using matched difference-in-difference, ordinary least-squares regression.

Results

A total of 5167 adults (25.6% female; mean [SD] age, 47.3 [8.8] years) with severe injuries were matched with control participants who were unexposed (25.6% female; mean [SD] age, 47.3 [8.8] years). Three years after trauma, 79.3% of those who survived trauma were working, compared with 91.7% of control participants, a difference of -12.4 (95% CI, -13.5 to -11.4) percentage points. Three years after injury, patients with injuries experienced a mean loss of $9745 (95% CI, -$10 739 to -$8752) in earnings compared with control participants, representing a 19.0% difference in annual earnings. Those who remained employed 3 years after injury experienced a 10.8% loss of earnings compared with control participants (-$6043 [95% CI, -$7101 to -$4986]). Loss of work was proportionately higher in those with lower preinjury income (lowest tercile, -18.5% [95% CI, -20.8% to -16.2%]; middle tercile, -11.5% [95% CI, -13.2% to -9.9%]; highest tercile, -6.0% (95% CI, -7.8% to -4.3%]).

Conclusions and Relevance

In this study, severe traumatic injury had a significant association with employment and earnings of adults of working age. Those with lower preinjury earnings experienced the greatest relative loss of employment and earnings.

Evaluation of Transfusion Practices in Noncardiac Surgeries at High Risk for Red Blood Cell Transfusion: A Retrospective Cohort Study

Perioperative bleeding is a major indication for red blood cell (RBC) transfusion, yet transfusion data in many major noncardiac surgeries are lacking and do not reflect recent blood conservation efforts. We aim to describe transfusion practices in noncardiac surgeries at high risk for RBC transfusion. We completed a retrospective cohort study to evaluate adult patients undergoing major noncardiac surgery at 5 Canadian hospitals between January 2014 and December 2016. We used Canadian Classification of Health Interventions procedure codes within the Discharge Abstract Database, which we linked to transfusion and laboratory databases. We studied all patients undergoing a major noncardiac surgery at ≥5% risk of perioperative RBC transfusion. For each surgery, we characterized the percentage of patients exposed to an RBC transfusion, the mean/median number of RBC units transfused, and platelet and plasma exposure. We identified 85 noncardiac surgeries with an RBC transfusion rate ≥5%, representing 25,607 patient admissions. The baseline RBC transfusion rate was 16%, ranging from 5% to 49% among individual surgeries. Of those transfused, the median (Q1, Q3) number of RBCs transfused was 2 U (1, 3 U); 39% received 1 U RBC, 36% received 2 U RBC, and 8% were transfused ≥5 U RBC. Platelet and plasma transfusions were overall low. In the era of blood conservation, we described transfusion practices in major noncardiac surgeries at high risk for RBC transfusion, which has implications for patient consent, preoperative surgical planning, and blood bank inventory management.

External validation demonstrated the Ottawa SAH prediction models can identify pSAH using health administrative data

OBJECTIVES

The objective of the study is to externally validate three primary subarachnoid hemorrhage (pSAH) identification models.

STUDY DESIGN AND SETTING

We evaluated three models that identify pSAH using recursive partitioning (A), logistic regression (B), and a prevalence-adjusted logistic regression(C), respectively. Blinded chart review and/or linkage to existing registries determined pSAH status. We included all patients aged ≥18 in four participating center registries or whose discharge abstracts contained ≥1 administrative codes of interest between January 1, 2012 and December 31, 2013.

RESULTS

A total of 3,262 of 193,190 admissions underwent chart review (n = 2,493) or registry linkage (n = 769). A total of 657 had pSAH confirmed (20·1% sample, 0·34% admissions). The sensitivity, specificity, and positive predictive value (PPV) were as follows: i) model A: 98·3% (97·0-99·2), 53·5% (51·5-55·4), and 34·8% (32·6-37·0); ii) model B (score ≥6): 98·0% (96·6-98·9), 47·4% (45·5-49·4), and 32·0% (30·0-34·1); and iii) model C (score ≥2): 95·7% (93·9-97·2), 85·5% (84·0-86·8), and 62·3 (59·3-65·3), respectively. Model C scores of 0, 1, 2, 3, or 4 had probabilities of 0·5% (0·2-1·5), 1·5% (1·0-2·2), 24·8% (21·0-29·0), 90·0% (86·8-92·0), and 97·8% (88·7-99·6), without significant difference between centers (P = 0·86). The PPV of the International Classification of Diseases code (I60) was 63·0% (95% confidence interval: 60·0-66·0).

CONCLUSIONS

All three models were highly sensitive for pSAH. Model C could be used to adjust for misclassification bias.

Data initiatives supporting critical care research and quality improvement in Canada: an environmental scan and narrative review

PURPOSE

Collection and analysis of health data are crucial to achieving high-quality clinical care, research, and quality improvement. This review explores existing hospital, regional, provincial and national data platforms in Canada to identify gaps and barriers, and recommend improvements for data science.

SOURCE

The Canadian Critical Care Trials Group and the Canadian Critical Care Translational Biology Group undertook an environmental survey using list-identified names and keywords in PubMed and the grey literature, from the Canadian context. Findings were grouped into sections, corresponding to geography, purpose, and patient sub-group initiatives, using a narrative qualitative approach. Emerging themes, impressions, and recommendations towards improving data initiatives were generated.

PRINCIPAL FINDINGS

In Canada, the Canadian Institute for Health Information Discharge Abstract Database contains high-level clinical data on every adult and child discharged from acute care facilities; however, it does not contain data from Quebec, critical care-specific severity of illness risk-adjustment scores, physiologic data, or data pertaining to medication use. Provincially mandated critical care platforms in four provinces contain more granular data, and can be used to risk adjust and link to within-province data sets; however, no inter-provincial collaborative mechanism exists. There is very limited infrastructure to collect and link biological samples from critically ill patients nationally. Comprehensive international clinical data sets may inform future Canadian initiatives.

CONCLUSION

Clinical and biological data collection among critically ill patients in Canada is not sufficiently coordinated, and lags behind other jurisdictions. An integrated and inclusive critical care data platform is a key clinical and scientific priority in Canada.

Association Between Consecutive Days Worked by Intensivists and Outcomes for Critically Ill Patients

OBJECTIVE

To evaluate the association between consecutive days worked by intensivists and ICU patient outcomes.

DESIGN

Retrospective cohort study linked with survey data.

SETTING

Australia and New Zealand ICUs.

PATIENTS

Adults (16+ yr old) admitted to ICU in the Australia New Zealand Intensive Care Society Centre for Outcome and Resource Evaluation Registries (July 1, 2016, to June 30, 2018).

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We linked data on staffing schedules for each unit from the Critical Care Resources Registry 2016-2017 annual survey with patient-level data from the Adult Patient Database. The a priori chosen primary outcome was ICU length of stay. Secondary outcomes included hospital length of stay, ICU readmissions, and mortality (ICU and hospital). We used multilevel multivariable regression modeling to assess the association between days of consecutive intensivist service and patient outcomes; the predicted probability of death was included as a covariate and individual ICU as a random effect. The cohort included 225,034 patients in 109 ICUs. Intensivists were scheduled for seven or more consecutive days in 43 (39.4%) ICUs; 27 (24.7%) scheduled intensivists for 5 days, 22 (20.1%) for 4 days, seven (6.4%) for 3 days, four (3.7%) for 2 days, and six (5.5%) for less than or equal to 1 day. Compared with care by intensivists working 7+ consecutive days (adjusted ICU length of stay = 2.85 d), care by an intensivist working 3 or fewer consecutive days was associated with shorter ICU length of stay (3 consecutive days: 0.46 d fewer, p = 0.010; 2 consecutive days: 0.77 d fewer, p < 0.001; ≤ 1 consecutive days: 0.68 d fewer, p < 0.001). Shorter schedules of consecutive intensivist days worked were also associated with trends toward shorter hospital length of stay without increases in ICU readmissions or hospital mortality.

CONCLUSIONS

Care by intensivists working fewer consecutive days is associated with reduced ICU length of stay without negatively impacting mortality.

Examining mechanisms for gender differences in admission to intensive care units

OBJECTIVE

To evaluate whether the male predominance of older people admitted to intensive care units (ICUs) is due to gender differences in the presence of spouses, partners, or children; rates of gender-specific disease; or triage decisions made by health system personnel.

DATA SOURCES AND COLLECTION

Three population-based datasets, 2004-2012, of Canadians ≥65 years: provincial health care data from Manitoba (n = 250 190) and national data of nursing home residents (n = 133 982) and community-based homecare recipients (n = 210 090).

STUDY DESIGN

Retrospective observational study, using multivariable Cox proportional hazards and logistic regression.

PRINCIPAL FINDINGS

Males predominated in ICU admissions: from Manitoba (hazard ratio [HR] = 1.87, 95% CI = 1.80-1.95), nursing homes (HR = 1.47, 1.35-1.60), and homecare (odds ratio = 1.14, 1.11-1.17). Adjustment for spouses, partners, and children did not attenuate this effect. The HR for gender was lower by 13.5 percent, relative, after excluding ICU care for cardiac causes. Male predominance was not present during a second ICU admission among survivors of a first ICU-containing hospitalization (HR = 1.07, 0.96-1.20).

CONCLUSIONS

In three older cohorts, the male predominance of ICU admission was not explained by gender differences in the presence of a spouse, partner, or children, or cardiac disease rates. The third finding suggests that triage bias is unlikely to be responsible for the male predominance.

Effects of cardiovascular and cerebrovascular health events on work and earnings: a population-based retrospective cohort study

BACKGROUND

Survivors of acute health events can experience lasting reductions in functional status and quality of life, as well as reduced ability to work and earn income. We aimed to assess the effect of acute myocardial infarction (MI), cardiac arrest and stroke on work and earning among working-age people.

METHODS

For this retrospective cohort study, we used the Canadian Hospitalization and Taxation Database, which contains linked hospital and income tax data, from 2005 to 2013 to perform difference-in-difference analyses. We matched patients admitted to hospital for acute MI, cardiac arrest or stroke with controls who were not admitted to hospital for these indications. Participants were aged 40-61 years, worked in the 2 years before the event and were alive 3 years after the event. Patients were matched to controls for 11 variables. The primary outcome was working status 3 years postevent. We also assessed earnings change attributable to the event. We matched 19 129 particpants who were admitted to hospital with acute MI, 1043 with cardiac arrest and 4395 with stroke to 1 820 644, 307 375 and 888 481 controls, respectively.

RESULTS

Fewer of the patients who were admitted to hospital were working 3 years postevent than controls for acute MI (by 5.0 percentage points [pp], 95% confidence interval [CI] 4.5-5.5), cardiac arrest (by 12.9 pp, 95% CI 10.4-15.3) and stroke (by 19.8 pp, 95% CI 18.5-23.5). Mean (95% CI) earnings declines attributable to the events were $3834 (95% CI 3346-4323) for acute MI, $11 143 (95% CI 8962-13 324) for cardiac arrest, and $13 278 (95% CI 12 301-14 255) for stroke. The effects on income were greater for patients who had lower baseline earnings, comorbid disease, longer hospital length of stay or needed mechanical ventilation. Sex, marital status or self-employment status did not affect income declines.

INTERPRETATION

Acute MI, cardiac arrest and stroke all resulted in substantial loss in employment and earnings that persisted for at least 3 years after the events. These outcomes have consequences for patients, families, employers and governments. Identification of subgroups at high risk for these losses may assist in targeting interventions, policies and legislation to promote return to work.

Disparities in management and outcomes of myocardial infarction in multiple sclerosis: A matched cohort study

Background:

Although multiple sclerosis (MS) confers an elevated risk of acute myocardial infarction (AMI), little is known about how it influences management of AMI.

Methods:

Using population-based administrative (health) data from two Canadian provinces, we conducted a retrospective matched cohort study. We identified people with MS who had an incident AMI, and up to five AMI controls without MS matched on age, sex, and region. We compared the likelihood of undergoing cardiac catheterization within 30 days of AMI, time to revascularization, use of recommended pharmacotherapy post-AMI, and mortality at 30 and 365 days post-AMI using multivariable regression models adjusting for potential confounders. We pooled findings across provinces using meta-analysis.

Results:

We identified 559 MS cases and 2523 matched controls. In the matched cohort, the MS cohort was less likely to undergo cardiac catheterization within 30 days of admission (odds ratio (OR) = 0.61; 95% confidence interval (CI) = 0.49–0.77), revascularization (hazard ratio (HR) = 0.78; 95% CI = 0.69–0.88), or to fill a prescription for recommended therapy. Mortality risk was higher in the MS cohort than in the matched cohort at 30 and 365 days post-AMI.

Conclusion:

Rates of diagnostic and therapeutic care, and survival after AMI were lower in the MS population than in a matched population.

Traditional risk factors may not explain increased incidence of myocardial infarction in MS

Objective

To compare the risk of incident acute myocardial infarction (AMI) in the multiple sclerosis (MS) population and a matched population without MS, controlling for traditional vascular risk factors.

Methods

We conducted a retrospective matched cohort study using population-based administrative (health claims) data in 2 Canadian provinces, British Columbia and Manitoba. We identified incident MS cases using a validated case definition. For each case, we identified up to 5 controls without MS matched on age, sex, and region. We compared the incidence of AMI between cohorts using incidence rate ratios (IRR). We used Cox proportional hazards regression to compare the hazard of AMI between cohorts adjusting for sociodemographic factors, diabetes, hypertension, and hyperlipidemia. We pooled the provincial findings using meta-analysis.

Results

We identified 14,565 persons with MS and 72,825 matched controls. The crude incidence of AMI per 100,000 population was 146.2 (95% confidence interval [CI] 129.0–163.5) in the MS population and 128.8 (95% CI 121.8–135.8) in the matched population. After age standardization, the incidence of AMI was higher in the MS population than in the matched population (IRR 1.18; 95% CI 1.03–1.36). After adjustment, the hazard of AMI was 60% higher in the MS population than in the matched population (hazard ratio 1.63; 95% CI 1.43–1.87).

Conclusion

The risk of AMI is elevated in MS, and this risk may not be accounted for by traditional vascular risk factors.

The Ottawa SAH search algorithms: protocol for a multi- centre validation study of primary subarachnoid hemorrhage prediction models using health administrative data (the SAHepi prediction study protocol)

Background

Conducting prospective epidemiological studies of hospitalized patients with rare diseases like primary subarachnoid hemorrhage (pSAH) are difficult due to time and budgetary constraints. Routinely collected administrative data could remove these barriers. We derived and validated 3 algorithms to identify hospitalized patients with a high probability of pSAH using administrative data. We aim to externally validate their performance in four hospitals across Canada.

Methods

Eligible patients include those ≥18 years of age admitted to these centres from January 1, 2012 to December 31, 2013. We will include patients whose discharge abstracts contain predictive variables identified in the models (ICD-10-CA diagnostic codes I60** (subarachnoid hemorrhage), I61** (intracranial hemorrhage), 162** (other nontrauma intracranial hemorrhage), I67** (other cerebrovascular disease), S06** (intracranial injury), G97 (other postprocedural nervous system disorder) and CCI procedural codes 1JW51 (occlusion of intracranial vessels), 1JE51 (carotid artery inclusion), 3JW10 (intracranial vessel imaging), 3FY20 (CT scan (soft tissue of neck)), and 3OT20 (CT scan (abdominal cavity)). The algorithms will be applied to each patient and the diagnosis confirmed via chart review. We will assess each model’s sensitivity, specificity, negative and positive predictive value across the sites.

Discussion

Validating the Ottawa SAH Prediction Algorithms will provide a way to accurately identify large SAH cohorts, thereby furthering research and altering care.

Reassessing access to intensive care using an estimate of the population incidence of critical illness

Background

The consistently observed male predominance of patients in intensive care units (ICUs) has raised concerns about gender-based disparities in ICU access. Comparing rates of ICU admission requires choosing a normalizing factor (denominator), and the denominator usually used to compare such rates between subpopulations is the size of those subpopulations. However, the appropriate denominator is the number of people whose medical condition warranted ICU care. We devised an estimate of the number of critically ill people in the general population, and used it to compare rates of ICU admission by gender and income.

Methods

This population-based, retrospective analysis included all adults in the Canadian province of Manitoba, 2004–2015. We created an estimate for the number of critically ill people who warrant ICU care, and used it as the denominator to generate critical illness-normalized rates of ICU admission. These were compared to the usual population-normalized rates of ICU care.

Results

Men outnumbered women in ICUs for all age groups; population-normalized male:female rate ratios significantly exceed 0 for every age group, ranging from 1.15 to 2.10. Using critical-illness normalized rates, this male predominance largely disappeared; critically ill men and women aged 45–74 years were admitted in equivalent proportions (critical-illness normalized rate ratios 0.96–1.01). While population-normalized rates of ICU care were higher in lower income strata (p < 0.001), the gradient for critical illness-based rates was reversed (p < 0.001).

Conclusions

Across a 30-year adult age span, the male predominance of ICU patients was accounted for by higher estimated rates of critical illness among men. People in lower income strata had lower critical-illness normalized rates of ICU admission. Our methods highlight that correct inferences about access to healthcare require calculating rates using denominators appropriate for this purpose.

Electronic supplementary material

The online version of this article (10.1186/s13054-018-2132-8) contains supplementary material, which is available to authorized users.

Anemia prevalence and incidence and red blood cell transfusion practices in aneurysmal subarachnoid hemorrhage: results of a multicenter cohort study

Background

Whether a restrictive strategy for red blood cell (RBC) transfusion is applied to patients with aneurysmal subarachnoid hemorrhage (aSAH) is unclear. To inform the design and conduct of a future clinical trial, we sought to describe transfusion practices, hemoglobin (Hb) triggers, and predictors of RBC transfusion in patients with aSAH.

Methods

This is a retrospective cohort study of all consecutively admitted adult patients with aSAH at four tertiary care centers from January 1, 2012, to December 31, 2013. Patients were identified from hospital administrative discharge records and existing local aSAH databases. Data collection by trained abstractors included demographic data, aSAH characteristics, Hb and transfusion data, other major aSAH cointerventions, and outcomes using a pretested case report form with standardized procedures. Descriptive statistics were used to summarize data, and regression models were used to identify associations between anemia, transfusion, and other relevant predictors and outcome.

Results

A total of 527 patients met inclusion eligibility. Mean (±SD) age was 57 ± 13 years, and 357 patients (67.7%) were female. The median modified Fisher grade was 4 (IQR 3–4). Mean nadir Hb was 98 ± 20 g/L and occurred on median admission day 4 (IQR 2–11). RBC transfusion occurred in 100 patients (19.0%). Transfusion rates varied across centers (12.1–27.4%, p = 0.02). Patients received a median of 1 RBC unit (IQR 1–2) per transfusion episode and a median total of 2 units (IQR 1–4). Median pretransfusion Hb for first transfusion was 79 g/L (IQR 74–93) and did not vary substantially across centers (78–82 g/L, p = 0.37). Of patients with nadir Hb < 80 g/L, 66.3% received a transfusion compared with 2.0% with Hb nadir ≥ 100 g/L (p < 0.0001). Predictors of transfusion were history of oral anticoagulant use, anterior circulation aneurysm, neurosurgical clipping, and lower Hb. Controlling for numerous potential confounders, transfusion was not independently associated with poor outcome.

Conclusions

We observed that moderate anemia remains very common early in admission following SAH. Only one-fifth of patients with SAH received RBC transfusions, mostly in cases of significant anemia (Hb < 80 g/L), and this did not appear to be associated with outcome.

Electronic supplementary material

The online version of this article (10.1186/s13054-018-2089-7) contains supplementary material, which is available to authorized users.

How well does the minimum data set measure healthcare use? a validation study

Background

To improve care, planners require accurate information about nursing home (NH) residents and their healthcare use. We evaluated how accurately measures of resident user status and healthcare use were captured in the Minimum Data Set (MDS) versus administrative data.

Methods

This retrospective observational cohort study was conducted on all NH residents (N = 8832) from Winnipeg, Manitoba, Canada, between April 1, 2011 and March 31, 2013. Six study measures exist. NH user status (newly admitted NH residents, those who transferred from one NH to another, and those who died) was measured using both MDS and administrative data. Rates of in-patient hospitalizations, emergency department (ED) visits without subsequent hospitalization, and physician examinations were also measured in each data source. We calculated the sensitivity, specificity, positive and negative predictive values (PPV, NPV), and overall agreement (kappa, κ) of each measure as captured by MDS using administrative data as the reference source. Also for each measure, logistic regression tested if the level of disagreement between data systems was associated with resident age and sex plus NH owner-operator status.

Results

MDS accurately identified newly admitted residents (κ = 0.97), those who transferred between NHs (κ = 0.90), and those who died (κ = 0.95). Measures of healthcare use were captured less accurately by MDS, with high levels of both under-reporting and false positives (e.g., for in-patient hospitalizations sensitivity = 0.58, PPV = 0.45), and moderate overall agreement levels (e.g., κ = 0.39 for ED visits). Disagreement was sometimes greater for younger males, and for residents living in for-profit NHs.

Conclusions

MDS can be used as a stand-alone tool to accurately capture basic measures of NH use (admission, transfer, and death), and by proxy NH length of stay. As compared to administrative data, MDS does not accurately capture NH resident healthcare use. Research investigating these and other healthcare transitions by NH residents requires a combination of the MDS and administrative data systems.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-3089-7) contains supplementary material, which is available to authorized users.

Health care utilisation before and after intensive care unit admission in rheumatoid arthritis

OBJECTIVES

We evaluated the incidence of intensive care unit (ICU) admission in a rheumatoid arthritis (RA) population according to health care utilisation and use of immune therapies in the year preceding admission. Also, we compared health care utilisation after ICU admission in persons with and without RA.

METHODS

We identified all persons with RA in Manitoba, Canada using population-based administrative data, and controls matched by age, sex, and region of residence. ICU admissions were identified using special care unit codes included in hospital discharge abstracts. We estimated the annual incidence rate of ICU admission in the RA population according to health care utilisation using generalised linear models, adjusting for age, sex, comorbidity, region and socioeconomic status. We compared health care utilisation post-ICU admission in persons with and without RA.

RESULTS

From 2000/01 through 2009/10, the average annual incidence of ICU admission was 1.26% in the RA population. Corticosteroid use was associated with an increased incidence of ICU admission (IRR 1.07; 95%CI: 1.05, 1.09). Use of disease-modifying anti-rheumatic drugs and biologics was not associated with an increased incidence of ICU admission. In the year following ICU admission, 45.3% of the RA population was re-hospitalised, and 8.9% were readmitted to the ICU.

CONCLUSIONS

Persons with RA who are admitted to the ICU have higher rates of health care utilisation in the year before ICU admission than those who are not admitted. Corticosteroid use is associated with an increased risk of ICU admission even after accounting for other health care utilisation.

Markedly increased incidence of critical illness in adults with Type 1 diabetes

AIMS

To compare the incidence of and mortality after intensive care unit admission in adults with paediatric-onset Type 1 diabetes vs the general population.

METHODS

Using population-based administrative data from Manitoba, Canada, we identified 814 cases of paediatric-onset Type 1 diabetes, and 3579 general population controls matched on age, sex and region of residence. We estimated the incidence of intensive care unit admission in adulthood, and compared the findings between populations using incidence rate ratios and multivariable Cox proportional hazards regression, adjusting for age, sex, comorbidity and socio-economic status. We estimated age- and sex-standardized mortality rates after intensive care unit admission.

RESULTS

Between January 2000 and October 2009, the average annual incidence of intensive care unit admission among prevalent cohorts was 910 per 100 000 in the Type 1 diabetes population, and 106 per 100 000 in matched controls, an eightfold increased risk (incidence rate ratio 8.6; 95% CI 5.5, 14.0). The adjusted risk of intensive care unit admission was elevated to a greater extent among women with Type 1 diabetes compared with matched women (hazard ratio 14.7; 95% CI 7.2, 29.4) than among men with Type 1 diabetes compared with matched men (hazard ratio 4.92; 95% CI 10.3, 2.36) The most common reasons for admission in the diabetes cohort were diabetic ketoacidosis, infection and ischaemic heart disease. At 30%, 5-year mortality was higher in the diabetes cohort than in the matched cohort (relative risk 5.7; 95% CI 1.2, 8.9).

CONCLUSIONS

Compared with the general population, the risk of intensive care unit admission was higher in adults with paediatric-onset Type 1 diabetes, and mortality after admission was also higher.

Increased Incidence of Critical Illness in Psoriasis

BACKGROUND

Psoriasis is associated with an increased risk of comorbid disease. Despite the recognition of increased morbidity in psoriasis, the effects on health care utilisation remain incompletely understood. Little is known about the risk of intensive care unit (ICU) admission in persons with psoriasis.

OBJECTIVE

To compare the incidence of ICU admission and post-ICU mortality rates in a psoriasis population compared with a matched population without psoriasis.

METHODS

Using population-based administrative data from Manitoba, Canada, we identified 40 930 prevalent cases of psoriasis and an age-, sex-, and geographically matched cohort from the general population (n = 150 210). We compared the incidence of ICU admission between populations using incidence rates and Cox regression models adjusted for age, sex, socioeconomic status, and comorbidity and compared mortality after ICU admission.

RESULTS

Among incident psoriasis cases (n = 30 150), the cumulative 10-year incidence of ICU admission was 5.6% (95% confidence interval [CI], 5.3%-5.8%), 21% higher than in the matched cohort (incidence rate ratio, 1.21; 95% CI, 1.15-1.27). In the prevalent psoriasis cohort, crude mortality in the ICU was 11.5% (95% CI, 9.9%-13.0%), 32% higher than observed in the matched population admitted to the ICU (8.7%; 95% CI, 8.3%-9.1%). Mortality rates after ICU admission remained elevated at all time points in the psoriasis cohort compared with the matched cohort.

CONCLUSION

Psoriasis is associated with an increased risk for ICU admission and with an increased risk of mortality post-ICU admission.