Evidence map›Paper›PMID 35571153›Full record

ArticleFrontiers in cardiovascular medicine2022

Enrichment of the Postdischarge GRACE Score With Deceleration Capacity Enhances the Prediction Accuracy of the Long-Term Prognosis After Acute Coronary Syndrome.

Shoupeng Duan, Jun Wang, Fu Yu, Lingpeng Song, Chengzhe Liu, Ji Sun, Qiang Deng, Yijun Wang, Zhen Zhou, Fuding Guo and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular 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
0.8field-weighted citation impact, top 26% 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, 5 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

15 authors at 2 institutions in 1 country.

Shoupeng DuanDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Jun WangDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Fu YuDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Lingpeng SongDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Chengzhe LiuDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Ji SunDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Qiang DengDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Yijun WangDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Zhen ZhouDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Fuding GuoDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Liping ZhouDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Yueyi WangDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Wuping TanDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Hong JiangDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Lilei YuDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Wuhan University · CNRenmin Hospital of Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiac autonomic nerve imbalance has been well documented to provide a critical foundation for the development of acute coronary syndrome (ACS) but is not included in the postdischarge GRACE score. We investigated whether capturing cardiac autonomic nervous system (ANS)-related modulations by 24-h deceleration capacity (DC) could improve the capability of existing prognostic models, including the postdischarge Global Registry of Acute Coronary Events (GRACE) score, to predict prognosis after ACS. Method: Patients with ACS were assessed with 24-h Holter monitoring in our department from June 2017 through June 2019. The GRACE score was calculated for postdischarge 6-month mortality. The patients were followed longitudinally for the incidence of major adverse cardiac events (MACEs), set as a composite of non-fatal myocardial infarction and death. To evaluate the improvement in its discriminative and reclassification capabilities, the GRACE score with DC model was compared with a model using the GRACE score only, using area under the receiver-operator characteristic curve (AUC), Akaike's information criteria, the likelihood ratio test, category-free integrated discrimination index (IDI) and continuous net reclassification improvement (NRI). Results: Overall, 323 patients were enrolled consecutively. After the follow-up period (mean, 43.78 months), 41 patients were found to have developed MACEs, which were more frequent among patients with DC <2.5 ms. DC adjusted for the GRACE score independently predicted the occurrence of MACEs with an adjusted hazard ratio (HR) of 0.885 and 95% CI of 0.831-0.943 ( Conclusion: DC serves as an independent and effective predictor of long-term adverse outcomes after ACS. Integration of DC and the postdischarge GRACE score significantly enhanced the discriminatory capability and precision in the prediction of poor long-term follow-up prognosis.

Indexed as

acute coronary syndromeautonomic nervedeceleration capacityGRACE scorelong-term prognosis

Identifiers

PMID35571153
PMCPMC9091655
OpenAlexW4285741973

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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.