Evidence map›Paper›PMID 33481279›Full record

ArticlePharmacotherapy2021

The impact of statin use prior to intensive care unit admission on critically ill patients with sepsis.

Eric E Chinaeke, Bryan L Love, Joe Magagnoli, Ismaeel Yunusa, Gene Reeder

Abstract read
In one paragraph

Article in Pharmacotherapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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

5 authors.

Eric E ChinaekeUniversity of South Carolina College of Pharmacy, Columbia, South Carolina, USA.ORCID 0000-0002-8287-0012
Bryan L LoveUniversity of South Carolina College of Pharmacy, Columbia, South Carolina, USA.ORCID 0000-0002-9221-9143
Joe MagagnoliUniversity of South Carolina College of Pharmacy, Columbia, South Carolina, USA.ORCID 0000-0002-8568-0097
Ismaeel YunusaUniversity of South Carolina College of Pharmacy, Columbia, South Carolina, USA.ORCID 0000-0002-9107-8561
Gene ReederUniversity of South Carolina College of Pharmacy, Columbia, South Carolina, USA.

Funding

Integrating Data, Models, and Reasoning in Critical CareR01EB001659 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MARK, ROGER GREENWOOD · 2003 to 2012
$9.8M
Critical Care Informatics: Ethical considerations around the use and sharing of health-related dataR01EB017205 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CELI, LEO ANTHONY G, MARK, ROGER GREENWOOD · 2014 to 2021
$3.8M
NIBIB NIH HHS R01 EB001659NIBIB NIH HHS R01 EB017205NIH HHS R01-EB001659 (2003-2013)NIH HHS R01-EB017205 (2014-2018)
6 · The paper itself

Abstract

objectiveTo evaluate the impact of pre-intensive care unit admission (pre-ICU) statin use on all-cause in-hospital mortality and ICU length of stay (LOS).

designRetrospective cohort study.

settingAdult ICUs at tertiary hospitals. PATIENTS: Adult critically ill patients diagnosed with sepsis admitted to the ICUs.

interventionThe exposure was pre-ICU statin prescription (statin users); unexposed represented absence of pre-ICU prescription (non-users). MEASUREMENT AND MAIN

resultsWe used the 2001-2012 Medical Information Mart for Intensive Care-III (MIMIC-III) database to determine average treatment effect (ATE) of pre-ICU statin use on 30-day ICU mortality, ICU LOS, and 30-day in-hospital mortality using the Augmented Inverse Propensity Weighted technique (AIPW), after adjusting for confounding factors (age, race, health insurance, corticosteroids use, vital signs, laboratory tests, and Sequential Organ Failure Assessment score (SOFA). We measured 30-day ICU mortality as deaths within 30 days of admission to the ICU, and ICU LOS was measured in fractional days. A 30-day in-hospital mortality was measured as death within 30 days of hospital admission. A total of 8200 patients with sepsis were identified; 19.8% (1623) were statin users, and 80.2% (6577) were non-users. Most were Caucasian, aged 80 years and above, and male. After adjusting for confounding factors, pre-ICU statin use decreased 30-day ICU mortality (ATE, -0.026; 95% confidence interval [CI], -0.048 to -0.009); ICU LOS (ATE, -0.369; 95% Cl, -0.849 to -0.096); and 30-day in-hospital mortality (ATE, -0.039; 95% CI, -0.084 to -0.026) on average compared with non-statin use, respectively. In a stratified analysis, the result for ICU LOS (ATE, -0.526; 95% CI, -0.879 to -0.241) and 30-day in-hospital mortality (ATE, -0.023; 95% CI, -0.048 to -0.002) was consistent among patients admitted to the medical ICU.

conclusionsAmong patients with sepsis admitted to the medical ICU, pre-ICU statin use is causally associated with a decrease in 30-day ICU mortality, ICU LOS, and 30-day in-hospital mortality compared to non-use. This study adds to the totality of evidence on the pleiotropic effect of statin use in patients with sepsis.

Indexed as

Hydroxymethylglutaryl-CoA Reductase InhibitorsSepsisAdultAged, 80 and overCritical IllnessHospital MortalityHumansIntensive Care UnitsLength of StayMaleRetrospective StudiesHydroxymethylglutaryl-CoA Reductase Inhibitorscritical carehydroxymethylglutaryl-CoA reductase inhibitorslength of staymortalityorgan dysfunction scoresretrospective studiesseptic shock

Identifiers

PMID33481279
PMCPMC7920641

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.