Evidence map›Paper›PMID 40087561›Full record

ArticleBMC cardiovascular disorders2025

Temporal trends, clinical characteristics and prognostic factors analysis of infective endocarditis: a multicenter ambispective cohort study in China.

Jie Liu, Jingya Liu, Taipu Guo, Wei Cong, Yunhan Fei, Enquan Wang, Yuehao Shen, Ying Gao, Dongxue Huang, Yu Meng and 4 more

Abstract readMulticenter Study
In one paragraph

Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

14 authors.

Jie Liu *Department of Critical Care Medicine, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Jingya Liu *Department of Critical Care Medicine, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Taipu GuoDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Wei CongDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Yunhan FeiDepartment of Emergency, Tianjin Huanhu Hospital, Tianjin, China.
Enquan WangDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Yuehao ShenDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Ying GaoDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Dongxue HuangDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Yu MengDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Hua ShaoDepartment of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Dongming CaoDepartment of Intensive Care Uint, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Jing LiShanxi Academy of Medical Sciences, Shanxi Bethune Hospital, Taiyuan, China.
Keliang XieDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China. mzk2011@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe epidemiological and clinical characteristics of infective endocarditis (IE) in mainland China, particularly following the COVID-19 pandemic, remain insufficiently understood. This study aims to examine temporal trends, clinical features, and factors influencing in-hospital mortality of IE in northern China from 2019 to 2023.

methodsThis multicenter, retrospective study included 961 patients diagnosed with IE between 2019 and 2023 across hospitals in Henan, Shandong, and Tianjin. Data were collected on demographics, comorbidities, COVID-19 status, and treatment modalities. Risk factors for in-hospital mortality were identified using logistic regression and Cox proportional hazards models. The effect of surgical intervention was assessed through propensity score matching.

resultsIn-hospital mortality increased from 7.7% in 2019 to 26.4% in 2023, with an average annual growth of 38% (P = 0.008). The proportion of IE patients aged 65 years and older significantly increased, with this age group exhibiting the highest mortality rate (37.3%) by 2023. Surgical intervention was associated with a 91% reduction in in-hospital mortality (HR 0.09, 95% CI 0.05-0.15, P < 0.001). Independent risk factors for mortality included low left ventricular ejection fraction (LVEF), elevated heart rate (HR), cerebral hemorrhage, the use of vasoactive drugs and the requirement for continuous renal replacement therapy (CRRT).

conclusionIn-hospital mortality due to IE in northern China has risen substantially since 2019, particularly in elderly patients and those with comorbid conditions. There was no significant change in overall per capita hospitalization costs or length of stay. Surgical intervention significantly improved survival outcomes. Additionally, patients who have been infected with COVID-19 twice had an 81.3% increased risk of death. The results of this study provide important data into the epidemiological and medical burden of IE in mainland China since the COVID-19 epidemic.

Indexed as

COVID-19EndocarditisAdultAgedAged, 80 and overChinaComorbidityFemaleHospital MortalityHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk FactorsAgingClinical epidemiologyInfective endocarditisMedical burdenOutcome prediction

Identifiers

PMID40087561
PMCPMC11909911

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.