TY - JOUR
T1 - Clinical predictors of acute cardiac injury and normalization of troponin after hospital discharge from COVID-19
T2 - Predictors of acute cardiac injury recovery in COVID-19
AU - Lu, Joyce Q.
AU - Lu, Justin Y.
AU - Wang, Weihao
AU - Liu, Yuhang
AU - Buczek, Alexandra
AU - Fleysher, Roman
AU - Hoogenboom, Wouter S.
AU - Zhu, Wei
AU - Hou, Wei
AU - Rodriguez, Carlos J.
AU - Duong, Tim Q.
N1 - Funding Information:
J.Q. Lu – concept and design, collected data, analyzed data, created tables and figures, drafted paper, J.Y. Lu – concept and design, collected data, verified data, drafted paper, W. Wang, Y. Liu, and W. Zhu – concept and design, analyzed data, A. Buczek, R. Fleysher, W.S. Hoogenboom, W. Hou – concept and design, collected data, edited paper, C.J. Rodriguez – concept and design, edited paper, T.Q. Duong – concept and design, supervised, verified data, edited paper, All authors read and approved the final version of the manuscript. Data used is available from the corresponding author upon reasonable request.
Publisher Copyright:
© 2022 The Authors
PY - 2022/2
Y1 - 2022/2
N2 - Background: Although 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. Methods: This 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. Results: There 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. Interpretation: Persistent 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.
AB - Background: Although 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. Methods: This 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. Results: There 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. Interpretation: Persistent 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.
KW - Machine learning
KW - SARS-CoV-2
KW - acute myocardial injury
KW - heart failure
UR - http://www.scopus.com/inward/record.url?scp=85124884169&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85124884169&partnerID=8YFLogxK
U2 - 10.1016/j.ebiom.2022.103821
DO - 10.1016/j.ebiom.2022.103821
M3 - Article
C2 - 35144887
AN - SCOPUS:85124884169
SN - 2352-3964
VL - 76
JO - EBioMedicine
JF - EBioMedicine
M1 - 103821
ER -