Evidence map›Paper›PMID 37290138›Full record

ArticleHeart & lung : the journal of critical care

Thirty-Day readmissions among COVID-19 patients hospitalized during the early pandemic in the United States: Insights from the Nationwide Readmissions Database.

Taimur Sohail Muzammil, Karthik Gangu, Adeel Nasrullah, Harris Majeed, Prabal Chourasia, Aneish Bobba, Rahul Shekhar, Christopher Bartlett, Abu Baker Sheikh

Open access · bronzeAbstract read
In one paragraph

Article in Heart & lung : the journal of critical care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 8 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 5 institutions in 1 country.

Taimur Sohail MuzammilDepartment of Internal Medicine, Allegheny Health Network, Pittsburg, PA, USA.
Karthik GanguDepartment of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA.
Adeel NasrullahDivision of Pulmonary and Critical Care, Allegheny Health Network, Pittsburg, PA, USA.
Harris MajeedDepartment of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
Prabal ChourasiaDepartment of Hospital Medicine, Mary Washington Hospital, Fredericksburg, VA, USA. Electronic address: chourasiaprabal@gmail.com.
Aneish BobbaDepartment of Medicine, John H. Stroger Jr. Hospital of Cook County, Chicago, IL, USA.
Rahul ShekharDepartment of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
Christopher BartlettDepartment of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
Abu Baker SheikhDepartment of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
University of New Mexico · USAllegheny Health Network · USJohn H. Stroger, Jr. Hospital of Cook County · USMary Washington Hospital · USUniversity of Kansas Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital readmissions are core indicators of the quality of health care provision.

objectiveTo understand factors associated with 30-day, all-cause hospital readmission rate for patients with COVID-19 in the United States during the early pandemic by utilizing the Nationwide Readmissions Database.

methodsThis retrospective study characterized the 30-day, all-cause hospital readmission rate for patients with COVID-19 in the United States during the early pandemic by utilizing the Nationwide Readmissions Database.

resultsThe 30-day, all-cause hospital readmission rate in this population was 3.2%. We found the most common diagnoses at readmission to be sepsis, acute kidney injury, and pneumonia. Chronic alcoholic liver cirrhosis and congestive heart failure were prominent predictors of readmission among patients with COVID-19. Moreover, we found that younger patients and patients from economically disadvantaged backgrounds were at higher risk of 30-day readmission. Acute complications during index hospitalization, including acute coronary syndrome, congestive heart failure, acute kidney injury, mechanical ventilation, and renal replacement therapy, also increased the risk of 30-day readmission for patients with COVID-19.

conclusionBased on the results of our study, we advise clinicians to promptly recognize patients with COVID-19 who are at high risk of readmission, and to subsequently manage their underlying comorbidities, to institute timely discharge planning, and to allocate resources to underprivileged patients in order to decrease the risk of 30-day hospital readmissions.

Indexed as

Acute Kidney InjuryCOVID-19Heart FailureDatabases, FactualHumansPandemicsPatient ReadmissionRetrospective StudiesRisk FactorsUnited States30-day readmissionCOVID-19Nationwide Readmissions Database

Identifiers

PMID37290138
PMCPMC10244017
OpenAlexW4378674015

What Socratic holds

Textmetadata
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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 Socratic graph.