Evidence map›Paper›PMID 38680475›Full record

ArticleRisk management and healthcare policy2024

Types of Septic Cardiomyopathy: Prognosis and Influencing Factors - A Clinical Study.

Nian-Fang Lu, Hong-Xia Niu, An-Qi Liu, Ya-Lei Chen, Hu-Nan Liu, Pei-Hong Zhao, Jun Shao, Xiu-Ming Xi

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2024. 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
–field-weighted citation impact
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.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. miR-130a-3p Exacerbates Sepsis-Induced Cardiac Dysfunction by Promoting Inflammation and Targeting PDK4.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
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

8 authors.

Nian-Fang LuDepartment of Critical Care Medicine, Capital Medical University Electric Teaching Hospital/Beijing Electric Power Hospital, Beijing, People's Republic of China.
Hong-Xia NiuDepartment of Emergency, Capital Medical University Electric Teaching Hospital/Beijing Electric Power Hospital, Beijing, People's Republic of China.
An-Qi LiuDepartment of Critical Care Medicine, Capital Medical University Electric Teaching Hospital/Beijing Electric Power Hospital, Beijing, People's Republic of China.
Ya-Lei ChenDepartment of Critical Care Medicine, Capital Medical University Electric Teaching Hospital/Beijing Electric Power Hospital, Beijing, People's Republic of China.
Hu-Nan LiuDepartment of Critical Care Medicine, Capital Medical University Electric Teaching Hospital/Beijing Electric Power Hospital, Beijing, People's Republic of China.
Pei-Hong ZhaoDepartment of Critical Care Medicine, Capital Medical University Electric Teaching Hospital/Beijing Electric Power Hospital, Beijing, People's Republic of China.
Jun ShaoDepartment of Critical Care Medicine, Subei People's Hospital of Jiangsu Province, Yangzhou, People's Republic of China.
Xiu-Ming XiDepartment of Critical Care Medicine, Capital Medical University Fuxing Hospital, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the prognostic outcomes associated with different types of septic cardiomyopathy and analyze the factors that exert an influence on these outcomes. Methods: The data collected within 24 hours of ICU admission included cardiac troponin I (cTnI), N-terminal pro-Brain Natriuretic Peptide (NT-proBNP); SOFA (sequential organ failure assessment) scores, and the proportion of vasopressor use. Based on echocardiographic outcomes, septic cardiomyopathy was categorized into left ventricular (LV) systolic dysfunction, LV diastolic dysfunction, and right ventricular (RV) systolic dysfunction. Differences between the mortality and survival groups, as well as between each cardiomyopathy subgroup and the non-cardiomyopathy group were compared, to explore the influencing factors of cardiomyopathy. Results: A cohort of 184 patients were included in this study, with LV diastolic dysfunction having the highest incidence rate (43.5%). The mortality group had significantly higher SOFA scores, vasopressor use, and cTnI levels compared to the survival group; the survival group had better LV diastolic function than the mortality group ( Conclusion: Patients with advanced age, hypertension, diabetes mellitus, or coronary artery disease are more prone to develop LV diastolic dysfunction type of cardiomyopathy; cardiomyopathy subgroups had higher levels of cTnI. The RV systolic dysfunction cardiomyopathy subgroup had higher SOFA scores and NT-proBNP levels. The occurrence of RV systolic dysfunction in patients with sepsis significantly increased the mortality rate.

Indexed as

cardiac functionechocardiographyinfluencing factorsprognosissepsisseptic cardiomyopathy

Identifiers

PMID38680475
PMCPMC11055516

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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.