Evidence map›Paper›PMID 32277142›Full record

Observational studyScientific reports2020

Impact of Complications and Comorbidities on the Intensive Care Length of Stay after Aneurysmal Subarachnoid Haemorrhage.

Alexander Hammer, Gholamreza Ranaie, Frank Erbguth, Matthias Hohenhaus, Martin Wenzl, Monika Killer-Oberpfalzer, Hans-Herbert Steiner, Hendrik Janssen

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Spontaneous subarachnoid haemorrhage.Lancet (London, England) · 2022
    Review
  15. Article
  16. Review
  17. Observational
  18. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Alexander HammerDepartment of Neurosurgery, Paracelsus Medical University, Breslauer Str. 201, 90471, Nuremberg, Bavaria, Germany. alexander.hammer@klinikum-nuernberg.de.
Gholamreza RanaieDepartment of Neurosurgery, Paracelsus Medical University, Breslauer Str. 201, 90471, Nuremberg, Bavaria, Germany.
Frank ErbguthDepartment of Neurology, Paracelsus Medical University, Breslauer Str. 201, 90471, Nuremberg, Bavaria, Germany.
Matthias HohenhausDepartment of Anaesthesiology, Paracelsus Medical University, Breslauer Str. 201, 90471, Nuremberg, Bavaria, Germany.
Martin WenzlDepartment of Anaesthesiology, Paracelsus Medical University, Breslauer Str. 201, 90471, Nuremberg, Bavaria, Germany.
Monika Killer-OberpfalzerParacelsus Medical University, Neurology/Research Institute of Neurointervention, Ignaz Harrer Str. 79, Salzburg, Austria.ORCID http://orcid.org/0000-0001-6329-8674
Hans-Herbert SteinerDepartment of Neurosurgery, Paracelsus Medical University, Breslauer Str. 201, 90471, Nuremberg, Bavaria, Germany.
Hendrik JanssenDepartment of Neuroradiology, Ingolstadt General Hospital, Krumenauerstraße 25, 85049, Ingolstadt, Bavaria, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this observational study, we analysed a cohort of 164 subarachnoid haemorrhage survivors (until discharge from intensive care) with the aim to detect factors that influence the length of stay (LOS) in intensive care with multiple linear regression methods. Moreover, binary logistic regression methods were used to examine whether the time in intensive care is a predictor of outcome after 1 year. The clinical 1-year outcome was measured prospectively in a 12-month follow-up by telephone interview and categorised by the modified Rankin Scale (mRS). Patients who died during their stay in intensive care were excluded. Complications like pneumonia (β = 5.11; 95% CI = 1.75-8.46; p = 0.0031), sepsis (β = 9.54; 95% CI = 3.27-15.82; p = 0.0031), hydrocephalus (β = 4.63; 95% CI = 1.82-7.45; p = 0.0014), and delayed cerebral ischemia (DCI) (β = 3.38; 95% CI = 0.19-6.56; p = 0.038) were critical factors depending the LOS in intensive care as well as decompressive craniectomy (β = 5.02; 95% CI = 1.35-8.70; p = 0.0077). All analysed comorbidities such as hypertension, diabetes, hypothyroidism, cholesterinemia, and smoking history had no significant impact on the LOS in intensive care. LOS in intensive care (OR = 1.09; 95% CI = 1.03-1.15; p = 0.0023) as well as WFNS grade (OR = 3.72; 95% CI = 2.23-6.21; p < 0.0001) and age (OR = 1.06; 95% CI = 1.02-1.10; p = 0.0061) were significant factors that had an impact on the outcome after 1 year. Complications in intensive care but not comorbidities are associated with higher LOS in intensive care. LOS in intensive care is a modest but significant predictor of outcomes after subarachnoid haemorrhage.

Indexed as

AdolescentAdultAgedAged, 80 and overComorbidityDecompressive CraniectomyFemaleFollow-Up StudiesHumansIntensive Care UnitsIntracranial AneurysmLength of StayMaleMiddle AgedProspective StudiesRisk Assessment

Identifiers

PMID32277142
PMCPMC7148333

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.