Evidence map›Paper›PMID 36104593›Full record

ArticleJournal of general internal medicine2022

Disease-Specific Factors Associated with Readmissions or Mortality After Hospital Discharge in COVID-19 Patients: a Retrospective Cohort Study.

Cheng-Wei Huang, Joon S Park, Hubert Song, Vang Kou Khang, Albert S Yu, Huong Q Nguyen, Janet S Lee, Christopher C Subject, Ernest Shen

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Cheng-Wei HuangDepartment of Hospital Medicine, Kaiser Permanente Los Angeles Medical Center, 4867 W. Sunset Blvd 6th Floor, Los Angeles, CA, 90027, USA. Cheng-wei.huang@kp.org.ORCID 0000-0002-7072-9679
Joon S ParkDepartment of Hospital Medicine, Kaiser Permanente Los Angeles Medical Center, 4867 W. Sunset Blvd 6th Floor, Los Angeles, CA, 90027, USA.
Hubert SongDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
Vang Kou KhangDepartment of Hospital Medicine, Kaiser Permanente Los Angeles Medical Center, 4867 W. Sunset Blvd 6th Floor, Los Angeles, CA, 90027, USA.
Albert S YuDepartment of Internal Medicine, Kaiser Permanente Los Angeles Medical Center, Los Angeles, CA, USA.
Huong Q NguyenDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
Janet S LeeDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
Christopher C SubjectDepartment of Hospital Medicine, Kaiser Permanente Los Angeles Medical Center, 4867 W. Sunset Blvd 6th Floor, Los Angeles, CA, 90027, USA.
Ernest ShenDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
Kaiser Permanente · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the implications of disease-specific factors beyond baseline patient characteristics for coronavirus disease 2019 (COVID-19) may allow for identification of indicators for safe hospital discharge.

objectiveAssess whether disease-specific factors are associated with adverse events post-discharge using a data-driven approach.

designRetrospective cohort study.

settingFifteen medical centers within Kaiser Permanente Southern California.

participantsAdult patients (n=3508) discharged alive following hospitalization for COVID-19 between 05/01/2020 and 09/30/2020.

interventionsNone. MAIN MEASURES: Adverse events defined as all-cause readmission or mortality within 14 days of discharge. Least absolute shrinkage and selection operator (LASSO) was used for variable selection and logistic regression was performed to estimate odds ratio (OR) and 95% confidence interval (CI). KEY

resultsFour variables including age, Elixhauser index, treatment with remdesivir, and symptom duration at discharge were selected by LASSO. Treatment with remdesivir was inversely associated with adverse events (OR: 0.46 [95%CI: 0.36-0.61]), while symptom duration ≤ 10 days was associated with adverse events (OR: 2.27 [95%CI: 1.79-2.87]) in addition to age (OR: 1.02 [95%CI: 1.01-1.03]) and Elixhauser index (OR: 1.15 [95%CI: 1.11-1.20]). A significant interaction between remdesivir and symptom duration was further observed (p=0.01). The association of remdesivir was stronger among those with symptom duration ≤10 days vs >10 days at discharge (OR: 0.30 [95%CI: 0.19-0.47] vs 0.62 [95%CI: 0.44-0.87]), while the association of symptom duration ≤ 10 days at discharge was weaker among those treated with remdesivir vs those not treated (OR: 1.31 [95%CI: 0.79-2.17] vs 2.71 [95%CI 2.05-3.59]).

conclusionsDisease-specific factors including treatment with remdesivir, symptom duration, and their interplay may help guide clinical decision making at time of discharge.

Indexed as

COVID-19AdultAftercareHospitalsHumansPatient DischargePatient ReadmissionRetrospective StudiesSARS-CoV-2COVID-19readmissionremdesivir

Identifiers

PMID36104593
PMCPMC9473458
OpenAlexW4295782310

What OpenQuestion holds

Textmetadata
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.