Evidence map›Paper›PMID 35144887›Full record

ArticleEBioMedicine2022

Clinical predictors of acute cardiac injury and normalization of troponin after hospital discharge from COVID-19.

Joyce Q Lu, Justin Y Lu, Weihao Wang, Yuhang Liu, Alexandra Buczek, Roman Fleysher, Wouter S Hoogenboom, Wei Zhu, Wei Hou, Carlos J Rodriguez and 1 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
18.9field-weighted citation impact, top 1% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. COVID-19 and Radiological Progression of Multiple Sclerosis.Diagnostics (Basel, Switzerland) · 2026
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  20. Long COVID or Post-Acute Sequelae of SARS-CoV-2 Infection (PASC) and the Urgent Need to Identify Diagnostic Biomarkers and Risk Factors.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Joyce Q LuDepartment of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, United States.
Justin Y LuDepartment of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, United States.
Weihao WangDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, United States.
Yuhang LiuDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, United States.
Alexandra BuczekDepartment of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, United States.
Roman FleysherDepartment of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, United States.
Wouter S HoogenboomDepartment of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, United States.
Wei ZhuDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, United States.
Wei HouDepartment of Family and Preventive Medicine, Stony Brook University, Stony Brook, New York, United States.
Carlos J RodriguezDepartment of Medicine, Cardiology Division, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, United States.
Tim Q DuongDepartment of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, United States. Electronic address: tim.duong@einsteinmed.org.
Albert Einstein College of Medicine · USStony Brook University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough acute cardiac injury (ACI) is a known COVID-19 complication, whether ACI acquired during COVID-19 recovers is unknown. This study investigated the incidence of persistent ACI and identified clinical predictors of ACI recovery in hospitalized patients with COVID-19 2.5 months post-discharge.

methodsThis retrospective study consisted of 10,696 hospitalized COVID-19 patients from March 11, 2020 to June 3, 2021. Demographics, comorbidities, and laboratory tests were collected at ACI onset, hospital discharge, and 2.5 months post-discharge. ACI was defined as serum troponin-T (TNT) level >99th-percentile upper reference limit (0.014ng/mL) during hospitalization, and recovery was defined as TNT below this threshold 2.5 months post-discharge. Four models were used to predict ACI recovery status.

resultsThere were 4,248 (39.7%) COVID-19 patients with ACI, with most (93%) developed ACI on or within a day after admission. In-hospital mortality odds ratio of ACI patients was 4.45 [95%CI: 3.92, 5.05, p<0.001] compared to non-ACI patients. Of the 2,880 ACI survivors, 1,114 (38.7%) returned to our hospitals 2.5 months on average post-discharge, of which only 302 (44.9%) out of 673 patients recovered from ACI. There were no significant differences in demographics, race, ethnicity, major commodities, and length of hospital stay between groups. Prediction of ACI recovery post-discharge using the top predictors (troponin, creatinine, lymphocyte, sodium, lactate dehydrogenase, lymphocytes and hematocrit) at discharge yielded 63.73%-75.73% accuracy.

interpretationPersistent cardiac injury is common among COVID-19 survivors. Readily available patient data accurately predict ACI recovery post-discharge. Early identification of at-risk patients could help prevent long-term cardiovascular complications.

fundingNone.

Indexed as

AgedAged, 80 and overCOVID-19FemaleHeart InjuriesHospital MortalityHumansIncidenceL-Lactate DehydrogenaseLogistic ModelsLymphocyte CountMaleMiddle AgedNew YorkPatient DischargeRetrospective StudiesL-Lactate DehydrogenaseTroponin Iacute myocardial injuryheart failureMachine learningSARS-CoV-2

Identifiers

PMID35144887
PMCPMC8819639
OpenAlexW4210869452

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.