Evidence map›Paper›PMID 24972886›Full record

ArticleIntensive care medicine2014

Trends in admission prevalence, illness severity and survival of haematological patients treated in Dutch intensive care units.

Maarten van Vliet, Ilona W M Verburg, Mark van den Boogaard, Nicolette F de Keizer, Niels Peek, Nicole M A Blijlevens, Peter Pickkers

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Article in Intensive care medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

  1. Trial
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  6. Prevention of ICU-acquired infection with decontamination regimen in immunocompromised patients: a pre/post observational study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2023
    Observational
  7. [With a tumor diagnosis in the intensive care unit].Innere Medizin (Heidelberg, Germany) · 2023
    Review
  8. Review
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  10. Article
  11. Article
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  13. Article
  14. Article
  15. Epidemiology, Clinical Characteristics, and Prognostic Factors in Critically Ill Patients with Hematolymphoid Malignancy.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021
    Article
  16. Article
  17. Early cost-utility analysis of tissue-engineered heart valves compared to bioprostheses in the aortic position in elderly patients.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Maarten van VlietDepartment of Haematology, Radboud University Medical Center, Geert Grooteplein 10, P.O. Box 9101, Internal post 492, 6500 HB, Nijmegen, The Netherlands, Maarten.vanVliet@Radboudumc.nl.
Ilona W M Verburg
Mark van den Boogaard
Nicolette F de Keizer
Niels Peek
Nicole M A Blijlevens
Peter Pickkers

Funding

Medical Research Council MR/K006665/1
6 · The paper itself

Abstract

purposeTo explore trends over time in admission prevalence and (risk-adjusted) mortality of critically ill haematological patients and compare these trends to those of several subgroups of patients admitted to the medical intensive care unit (medical ICU patients).

methodsA total of 1,741 haematological and 60,954 non-haematological patients admitted to the medical ICU were analysed. Trends over time and differences between two subgroups of haematological medical ICU patients and four subgroups of non-haematological medical ICU patients were assessed, as well as the influence of leukocytopenia.

resultsThe proportion of haematological patients among all medical ICU patients increased over time [odds ratio (OR) 1.06; 95 % confidence interval (CI) 1.03-1.10 per year; p < 0.001]. Risk-adjusted mortality was significantly higher for haematological patients admitted to the ICU with white blood cell (WBC) counts of <1.0 × 10(9)/L (47 %; 95 % CI 41-54 %) and ≥1.0 × 10(9)/L (45 %; 95 % CI 42-49 %), respectively, than for patients admitted with chronic heart failure (27 %; 95 % CI 26-28 %) and with chronic liver cirrhosis (38 %; 95 % CI 35-42 %), but was not significantly different from patients admitted with solid tumours (40 %; 95 % CI 36-45 %). Over the years, the risk-adjusted hospital mortality rate significantly decreased in both the haematological and non-haematological group with an OR of 0.93 (95 % CI 0.92-0.95) per year. After correction for case-mix using the APACHE-II score (with WBC omitted), a WBC <1.0 × 10(9)/L was not a predictor of mortality in haematological patients (OR 0.86; 95 % CI 0.46-1.64; p = 0.65). We found no case-volume effect on mortality for haematological ICU patients.

conclusionsAn increasing number of haematological patients are being admitted to Dutch ICUs. While mortality is significantly higher in this group of medical ICU patients than in subgroups of non-haematological ones, the former show a similar decrease in raw and risk-adjusted mortality rate over time, while leukocytopenia is not a predictor of mortality. These results suggest that haematological ICU patients have benefitted from improved intensive care support during the last decade.

Indexed as

Intensive Care UnitsAgedFemaleHematologic DiseasesHumansMaleMiddle AgedNetherlandsPatient AdmissionSeverity of Illness IndexSurvival Rate

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.