Evidence map›Paper›PMID 30244705›Full record

Trial reportThe Annals of thoracic surgery2018

Preoperative STOP-BANG Scores and Postoperative Delirium and Coma in Thoracic Surgery Patients.

Sophia Wang, Ninotchka Liban Sigua, Shalini Manchanda, Steve Gradney, Sikandar H Khan, Anthony Perkins, Kenneth Kesler, Babar Khan

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The Annals of thoracic surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 14% of its field
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, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Sophia WangDepartment of Psychiatry, Indiana University School of Medicine, Indiana University Health Neuroscience Center, Indianapolis, Indiana; Sandra Eskenazi Center for Brain Care Innovation, Eskenazi Hospital, Indianapolis, Indiana. Electronic address: sophwang@iupui.edu.
Ninotchka Liban SiguaDivision of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, Indiana.
Shalini ManchandaDivision of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, Indiana.
Steve GradneyDivision of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, Indiana.
Sikandar H KhanDivision of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, Indiana; Indiana University Center for Aging Research, Regenstrief Institute, Indianapolis, Indiana.
Anthony PerkinsDepartment of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana.
Kenneth KeslerDepartment of Cardiothoracic Surgery, Indiana University School of Medicine, Indianapolis, Indiana.
Babar KhanSandra Eskenazi Center for Brain Care Innovation, Eskenazi Hospital, Indianapolis, Indiana; Division of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, Indiana; Indiana University Center for Aging Research, Regenstrief Institute, Indianapolis, Indiana.
Indiana University – Purdue University Indianapolis · USIndiana University School of MedicineRegenstrief Institute · US

Funding

Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI GHETTI, BERNARDINO FRANCESCO · 1991 to 2020
$37.3M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
IU Training Program in Molecular Physiology and Clinical Mechanisms of Lung DiseaseT32HL091816 · NHLBI · INDIANA UNIVERSITY INDIANAPOLIS · PI Erick Forno, Roberto F. Machado · 2009 to 2026
$4.3M
Decreasing Alzheimer's Disease and Related Dementias after Delirium-Exercise and Cognitive Training (DDD-ECT)R01AG055391 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI KHAN, BABAR A · 2017 to 2021
$3.5M
Mobile Critical Care Recovery Program (m-CCRP) for Acute Respiratory Failure (ARF) SurvivorsR01HL131730 · NHLBI · INDIANA UNIVERSITY INDIANAPOLIS · PI KHAN, BABAR A · 2017 to 2021
$3.2M
Delirium Biomarkers in the Intensive Care UnitK23AG043476 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI KHAN, BABAR A · 2012 to 2016
$629k
NCATS NIH HHS UL1 TR001108NHLBI NIH HHS R01 HL131730NHLBI NIH HHS T32 HL091816NIA NIH HHS K23 AG043476NIA NIH HHS P30 AG010133NIA NIH HHS R01 AG055391
6 · The paper itself

Abstract

backgroundObstructive sleep apnea (OSA) is associated with higher rates of postoperative delirium. The relationship between preoperative OSA risk and postoperative delirium and coma in thoracic surgery patients hospitalized in the intensive care unit (ICU) is not well understood. This study tests the hypothesis that thoracic surgery patients hospitalized in ICU with a higher preoperative risk for OSA are more likely to develop postoperative delirium and coma, resulting in longer hospital stays.

methodsPreoperative OSA risk was measured using the STOP-BANG questionnaire. STOP-BANG scores of greater than or equal to 3 were defined as intermediate-high risk for OSA; 128 patients who underwent major thoracic surgery completed the STOP-BANG questionnaire preoperatively. The Richmond Agitation and Sedation Scale was used to assess level of consciousness. The Confusion Assessment Method for the ICU was used to assess for delirium. Linear regression was used to assess the relationship between risk of OSA and outcome measures. Results were adjusted for age, sex, body mass index, Charlson Comorbidity Index, instrumental activities of daily living, and surgery type.

resultsA total of 96 of 128 patients (76%) were in the intermediate-high-risk OSA group. Adjusted analyses showed that the intermediate-high-risk OSA group had a longer duration of postoperative ICU delirium and coma compared with the low-risk OSA group (1.4 ± 1.3 days versus 0.9 ± 1.4 days; P = 0.04). Total number of hospital days was not significantly different.

conclusionsHigher preoperative risk for OSA in thoracic surgery patients was associated with a longer duration of postoperative delirium and coma.

Indexed as

ComaDeliriumDouble-Blind MethodFemaleFollow-Up StudiesHumansIncidenceIndianaMaleMiddle AgedPostoperative ComplicationsPreoperative PeriodRetrospective StudiesRisk AssessmentRisk FactorsSleep Apnea, Obstructive

Identifiers

PMID30244705
PMCPMC6886685
OpenAlexW2811513632

What OpenQuestion holds

Textmetadata
LicenceTDM
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.