Evidence map›Paper›PMID 40385067›Full record

ArticleAmerican journal of translational research2025

Chest CT signs and serum homocysteine levels can effectively diagnose chronic heart failure.

Peiyong Zhang, Caiyan Bai, Yonglong Guo, Xiaochen Liu, Penghong Duan, Chaobo Yuan

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Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Peiyong ZhangCardiology Department, The First Affiliated Hospital of Xinxiang Medical University Weihui 453100, Henan, China.
Caiyan BaiCardiology Department, The First Affiliated Hospital of Xinxiang Medical University Weihui 453100, Henan, China.
Yonglong GuoCardiology Department, The First Affiliated Hospital of Xinxiang Medical University Weihui 453100, Henan, China.
Xiaochen LiuCardiology Department, The First Affiliated Hospital of Xinxiang Medical University Weihui 453100, Henan, China.
Penghong DuanCardiology Department, The First Affiliated Hospital of Xinxiang Medical University Weihui 453100, Henan, China.
Chaobo YuanCardiology Department, The First Affiliated Hospital of Xinxiang Medical University Weihui 453100, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveChronic heart failure (CHF) is a significant clinical and public health concern, and improving its diagnostic accuracy remains an urgent challenge. This study aimed to evaluate the diagnostic value of chest computed tomography (CT) signs and serum homocysteine (Hcy) levels in the preoperative diagnosis of CHF.

methodsClinical records of 97 patients hospitalized with suspected CHF between January 2019 and December 2023 were retrospectively analyzed. The accuracy, specificity, and sensitivity of chest CT in diagnosing CHF were calculated, using color Doppler echocardiography as the gold standard. Key CT features, including pulmonary venous hypertension (PVH), atrial dilatation (AD), cardiogenic pulmonary edema (CPE), and pleural effusion (PE), were assessed. Serum Hcy levels were compared, and diagnostic performance was evaluated using a receiver operator characteristic (ROC) curves.

resultsThe accuracy, sensitivity, and specificity of chest CT for diagnosing CHF were 82.47%, 91.07%, and 70.73%, respectively. Among patients with diagnosed with CHF, 48 (76.19%) had PVH, 44 (69.84%) had CPE, 44 (69.84%) had PE, and 47 (74.60%) had AD. PVH, AD, CPE, and PE were strongly correlated with CHF (all P<0.05). The area under the curve (AUC) for CHF diagnosis was 0.831 for CT alone, 0.824 for Hcy alone, and 0.922 for the combined approach.

conclusionChest CT demonstrated high diagnostic efficiency for CHF, aiding clinicians in preoperative assessment and differentiation. It provides reliable identification of key CHF-related signs, including PVH, AD, CPE, and PE, all of which are strongly correlated with CHF. In addition, integrating serum Hcy levels with imaging findings enhances diagnostic accuracy.

Indexed as

chest computed tomographyChronic heart failurepreoperative diagnosis

Identifiers

PMID40385067
PMCPMC12082492

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