Evidence map›Paper›PMID 36736991›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2023

Discharge disposition and clinical outcomes of patients hospitalized with COVID-19.

Shiv Patel, Gia Thinh Truong, Ajay Rajan, Zachary Creech, Ryan Walters, Ian Ng, Christopher Destache, Renuga Vivekanandan, Maureen Tierney, Manasa Velagapudi

Open access · goldAbstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-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

7 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

10 authors at 1 institution in 1 country.

Shiv PatelSchool of Medicine, Creighton University, Omaha, USA. Electronic address: shiv.amit.patel@gmail.com.
Gia Thinh TruongSchool of Medicine, Creighton University, Omaha, USA. Electronic address: GiaThinhTruong@creighton.edu.
Ajay RajanSchool of Medicine, Creighton University, Omaha, USA. Electronic address: AjayRajan@creighton.edu.
Zachary CreechSchool of Medicine, Creighton University, Omaha, USA. Electronic address: ZacharyCreech@creighton.edu.
Ryan WaltersDepartment of Clinical Research, Creighton University, Omaha, USA. Electronic address: RyanWalters@creighton.edu.
Ian NgDepartment of Clinical Research, Creighton University, Omaha, USA. Electronic address: IanNg@creighton.edu.
Christopher DestacheSchool of Pharmacy and Health Professions, Creighton University, Omaha, USA. Electronic address: ChrisDestache@creighton.edu.
Renuga VivekanandanDivision of Infectious Disease, Creighton University School of Medicine, Omaha, USA. Electronic address: RenugaVivekanandan@creighton.edu.
Maureen TierneyDepartment of Medicine, Creighton University School of Medicine, Omaha, USA. Electronic address: MaureenTierney@creighton.edu.
Manasa VelagapudiDivision of Infectious Disease, Creighton University School of Medicine, Omaha, USA. Electronic address: ManasaVelagapudi@creighton.edu.
Creighton University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesBy better understanding the long-term effects of COVID-19 and assessing rehabilitation placement among the patients in our study, we hope to determine the predictors of rehabilitation needs in individuals suffering from the long-term sequelae of COVID-19.

methodsA retrospective chart review was performed of adult patients with a positive COVID-19 polymerase chain reaction test among multiple hospitals in a regional health system. The main outcomes measured were discharge disposition, total length of hospital stay, and overall all-cause mortality and readmission rates within 30 and 90 days of discharge.

resultsOf the 2502 patients included in the study, we found that 65.2% were discharged to home, while the remaining patients were discharged to home healthcare (33.6%), skilled nursing facilities (31.7%), or long-term acute rehabilitation centers (11.6%). The overall all-cause mortality rate at 30 and 90 days were 2.7% and 4.4%, respectively. The overall all-cause 30-day and 90-day readmission rates were 7.0% and 7.6%, respectively.

conclusionYounger age and shorter hospitalization stays were the most important predictors of home discharge. Discharge to home was also significantly associated with lower all-cause mortality rates at 30 and 90 days after discharge.

Indexed as

COVID-19Patient DischargeAdultHospitalizationHumansLength of StayPatient ReadmissionRetrospective StudiesAgeCOVID-19Discharge dispositionLength of stayMortalityRehabilitation

Identifiers

PMID36736991
PMCPMC9891781
OpenAlexW4318761336

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.