Evidence map›Paper›PMID 29949004›Full record

ArticleNeurocritical care2018

Preventable Readmissions and Predictors of Readmission After Subarachnoid Hemorrhage.

John W Liang, Laura Cifrese, Lili Velickovic Ostojic, Syed O Shah, Mandip S Dhamoon

Abstract read
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Article in Neurocritical care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Spontaneous subarachnoid haemorrhage.Lancet (London, England) · 2022
    Review
  5. Review
  6. Article
  7. Observational
  8. Article
  9. 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.

John W LiangDivisions of Cerebrovascular Disease, Critical Care, and Neurotrauma, Thomas Jefferson University, Philadelphia, PA, USA. john.liang@jefferson.edu.
Laura CifreseDepartment of Neurology, Thomas Jefferson University, Philadelphia, PA, USA.
Lili Velickovic OstojicDepartment of Neurology, Mount Sinai Downtown, New York, NY, USA.
Syed O ShahDivisions of Cerebrovascular Disease, Critical Care, and Neurotrauma, Thomas Jefferson University, Philadelphia, PA, USA.
Mandip S DhamoonDepartment of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate rates of all-cause and potentially preventable readmissions up to 90 days after discharge for aneurysmal subarachnoid hemorrhage (SAH) and medical comorbidities associated with readmissions

backgroundReadmission rate is a common metric linked to compensation and used as a proxy to quality of care. Prior studies in SAH have reported 30-day readmission rates of 7-17% with a higher readmission risk among those with the higher SAH severity, ≥ 3 comorbidities, and non-home discharge. Intermediate-term rates, up to 90-days, and the proportion of these readmissions that are potentially preventable are unknown. Furthermore, the specific medical comorbidities associated with readmissions are unknown.

methodsIndex SAH admissions were identified from the 2013 Nationwide Readmissions Database. All-cause readmissions were defined as any readmission during the 30-, 60-, and 90-day post-discharge period. Potentially preventable readmissions were identified using Prevention Quality Indicators developed by the US Agency for Healthcare Research and Quality. Unadjusted and adjusted Poisson models were used to identify factors associated with increased readmission rates.

resultsOut of 9987 index admissions for SAH, 7949 (79%) survived to discharge. The percentage of 30-, 60-, and 90-day all-cause readmissions were 7.8, 16.6, and 26%, respectively. Up to 14% of readmissions in the first 30 days were considered potentially preventable and acute conditions (dehydration, bacterial pneumonia, and urinary tract infections) accounted for over half, whereas acute cerebrovascular disease was the most common cause for neurological return. In multivariable analysis, significant predictors of a higher readmission rate included diabetes (rate ratio [RR] 1.09, 95% confidence interval [CI] 1.03-1.15), congestive heart failure (RR 1.09, 1.003-1.18), and renal impairment (RR 1.35, 1.13-1.61). Only discharge home was associated with a lower readmission rate (RR 0.89, 0.85-0.93).

conclusionsSAH has a 30-day readmission rate of 7.8% which continues to rise into the intermediate-term. A low but constant proportion of readmissions are potentially preventable. Several chronic medical comorbidities were associated with readmissions. Prospective studies are warranted to clarify causal relationships.

Indexed as

Acute DiseaseAdultAgedCardiovascular DiseasesComorbidityDatabases, FactualDiabetes ComplicationsFemaleFollow-Up StudiesHumansMaleMiddle AgedPatient DischargePatient ReadmissionPrognosisSepsisAneurysmPredictorsQualityReadmissionSubarachnoid hemorrhage

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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.