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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Intensive care at the end of life in patients dying due to non-cancer chronic diseases versus cancer: a nationwide study in Denmark
|
|---|---|
| Published in |
Critical Care, December 2015
|
| DOI | 10.1186/s13054-015-1124-1 |
| Pubmed ID | |
| Authors |
Thomas Lyngaa, Christian Fynbo Christiansen, Henrik Nielsen, Mette Asbjørn Neergaard, Anders Bonde Jensen, Kristina Grønborg Laut, Søren Paaske Johnsen |
| Abstract |
It is unknown to what extent use of palliative care and focus on proactive planning of end-of-life (EOL) care among cancer patients is also reflected by less use of intensive care. We aimed to examine the use of intensive care in the EOL in patients dying as a result of non-cancer diseases compared with patients dying due to cancer. We conducted a nationwide follow-up study among 240,757 adults dying as a result of either non-cancer chronic disease or cancer in Denmark between 2005 and 2011. Using the Danish Intensive Care Database, we identified all admissions and treatments in intensive care units (ICU) during the patients' last 6 months before death. We used prevalence ratios (aPRs) adjusted for age, sex, comorbidity, marital status and residential region to compare the 6-month prevalence of ICU admissions as well as treatment with invasive mechanical ventilation (MV), non-invasive ventilation (NIV), renal replacement therapy (RRT) and inotropes and/or vasopressors. In addition, length of ICU stay and death during ICU admission were compared among non-cancer and cancer patients dying between 2009 and 2011. Overall 12.3 % of non-cancer patients were admitted to an ICU within their last 6 months of life, compared with 8.7 % of cancer patients. The overall aPR for ICU admission was 2.11 [95 % confidence interval (CI) 1.98-2.24] for non-cancer patients compared with cancer patients and varied widely within the non-cancer patients (patients with dementia, aPR 0.19, 95 % CI 0.17-0.21; patients with chronic obstructive lung disease, aPR 3.19, 95 % CI 2.97-3.41). The overall aPRs for treatment among non-cancer patients compared with cancer patients were 1.40 (95 % CI 1.35-1.46) for MV, 1.62 (95 % CI 1.50-1.76) for NIV, 1.19 (95 % CI 1.07-1.31) for RRT and 1.05 (95 % CI 0.87-1.28) for inotropes and/or vasopressors. No difference in admission length was observed. Non-cancer patients had an increased risk of dying in an ICU (aPR 1.23, 95 % CI 0.99-1.54) compared with cancer patients. Overall, patients dying as a result of non-cancer diseases were twice as likely to be admitted to ICUs at the EOL as patients dying due to cancer. Further studies are warranted to explore whether this difference in use of intensive care reflects an unmet need of palliative care, poor communication about the EOL or lack of prognostic tools for terminally ill non-cancer patients. |
X Demographics
The data shown below were collected from the profiles of 36 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 17% |
| United Kingdom | 4 | 11% |
| France | 2 | 6% |
| Spain | 2 | 6% |
| Malaysia | 1 | 3% |
| Grenada | 1 | 3% |
| Sweden | 1 | 3% |
| Netherlands | 1 | 3% |
| Chile | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 14 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 67% |
| Practitioners (doctors, other healthcare professionals) | 6 | 17% |
| Scientists | 4 | 11% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | <1% |
| Unknown | 111 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 15 | 13% |
| Researcher | 15 | 13% |
| Student > Master | 13 | 12% |
| Student > Bachelor | 10 | 9% |
| Student > Ph. D. Student | 9 | 8% |
| Other | 25 | 22% |
| Unknown | 25 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 43 | 38% |
| Nursing and Health Professions | 23 | 21% |
| Social Sciences | 4 | 4% |
| Psychology | 4 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 8 | 7% |
| Unknown | 27 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 April 2019.
All research outputs
#1,539,756
of 25,632,496 outputs
Outputs from Critical Care
#1,353
of 6,595 outputs
Outputs of similar age
#25,160
of 396,933 outputs
Outputs of similar age from Critical Care
#93
of 466 outputs
Altmetric has tracked 25,632,496 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,595 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.7. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 396,933 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 466 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.