Evidence map›Paper›PMID 39524502›Full record

ArticleClinical epidemiology2024

Causal Association Between Heart Failure and Sepsis: Insights from Mendelian Randomization and Observational Studies.

Linqiong Liu, Pengfei Huang, Changsong Wang, Yuxi Liu, Yan Gao, Kaijiang Yu

Abstract read
In one paragraph

Article in Clinical epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

6 authors.

Linqiong Liu *Departments of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Pengfei Huang *Departments of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Changsong Wang *Departments of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Yuxi LiuDepartments of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Yan GaoDepartments of Critical Care Medicine, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Kaijiang YuDepartments of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We aimed to identify the association between heart failure (HF) with sepsis and its mortality through Mendelian randomization (MR) and observational studies. Patients and Methods: In MR study, we utilized public summary statistics from genome-wide association studies (GWAS). We conducted univariable, multivariable and network MR analyses to investigate causal relationships between HF and sepsis, and mediating roles of cytokines and growth factors. We performed an observational analysis using the MIMIC-IV database. Propensity score matching (PSM) and logistic regression models were employed to explore causal relationships between HF and sepsis, besides short-, medium-, and long-term mortality associated with sepsis. Results: In univariable MR analysis, there was a causal relationship between genetically predicted HF (OR = 1.15, 95% CI = 1.02-1.29, P = 0.025) and sepsis. In multivariable and network MR analyses, βNGF was independently associated with sepsis. And it mediated 17.6% (95% CI 2.45-30.72%) of HF effect on sepsis. In the real-world observational study, acute on chronic diastolic (congestive) heart failure (DCHF) (OR = 1.59, 95% CI = 1.31-1.93, P < 0.001), acute DCHF (OR = 2.52, 95% CI = 1.61-3.95, P = 0.010), and acute diastolic heart failure (DHF) (OR = 1.52, 95% CI = 1.06-2.19, P = 0.024) after PSM were associated with occurrence of sepsis. Chronic systolic (congestive) heart failure (SCHF) was associated with increased 28-day (OR = 1.75, 95% CI = 1.06-2.91, P = 0.030), 1-year (OR = 1.80, 95% CI = 1.08-3.00, P = 0.023), and 2-year (OR = 1.86, 95% CI = 1.12-3.10, P = 0.018) mortality in sepsis. Conclusion: Observational and MR analyses showed a causal relationship between HF and sepsis. Chronic SCHF was related to increased short/long-term mortality in sepsis. Our study indicated βNGF a key factor in HF-induced sepsis.

Indexed as

GWASMIMIC-IVPSMβNGF

Identifiers

PMID39524502
PMCPMC11550685

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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.