Associations of systemic inflammatory markers with the risks of chronic heart failure: A case-control study

Liu, Zhaojun; Xv, Yingjie; Liu, Xiaozhu; Zhou, Xiaoli

doi:10.1016/j.clinsp.2022.100056

Cited by 10 publications

(6 citation statements)

References 37 publications

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“…Another study reported that LMR, a systemic inflammatory index, was strongly associated with the risk of death in patients with HF, and we have proved that LMR was independent risk factor for patients with CHF in former research. 29,30 In this study, the results of univariate and multivariate Cox regression showed that LMR was a protective factor for poor prognosis in CHF patients, which was in accordance with the previous studies.…”

supporting

confidence: 92%

A Novel Nomogram Integrated with Systemic Inflammation Markers and Traditional Prognostic Factors for Adverse Events’ Prediction in Patients with Chronic Heart Failure in the Southwest of China

Liu¹,

Zhang²,

Xv³

et al. 2022

JIR

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Inflammation contributes to the pathogenesis and progression of heart failure (HF). This study aimed to construct a nomogram based on systemic inflammatory markers and traditional prognostic factors to assess the risk of adverse outcomes (cardiovascular readmission and all-cause death) in patients with chronic heart failure (CHF). Methods: Data were retrospectively collected from patients with HF admitted to the Department of Cardiovascular Medicine at the First Affiliated Hospital of Chongqing Medical University from January 2018 to April 2020, and each patient had complete follow-up information. The follow-up duration was from June 2018 to May 31, 2022. 550 patients were included and randomly assigned to the derivation and validation cohorts with a ratio of 7:3, and prognostic risk factors of CHF were identified by Cox regression analysis. The nomogram chart scoring model was constructed. Results: The Cox multivariate regression analysis showed that traditional prognostic factors such as age (P=0.011), BMI (P=0.048), NYHA classification (P<0.001), creatinine (P<0.001), and systemic inflammatory markers including LMR (P=0.001), and PLR (P=0.015) were independent prognostic factors for CHF patients. Integrated with traditional and inflammatory prognostic factors, a nomogram was established, which yielded a C-index value of 0.739 (95% CI: 0.714-0.764) in the derivation cohort and 0.713 (95% CI: 0.668-0.758) in the validation cohort, respectively. The calibration curves exhibited good performance of the nomogram in predicting the adverse outcomes for patients with CHF. In subgroups (HFrEF, HFmrEF, and HFpEF groups), the systematic inflammatory markers-based nomograms proved to be effective prediction tools for patients' adverse overcomes, as well. Conclusion:The nomogram combining systemic inflammatory markers and traditional risk factors has satisfactory predictive performance for adverse outcomes (mortality and readmission) in patients with CHF.

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supporting

confidence: 92%

A Novel Nomogram Integrated with Systemic Inflammation Markers and Traditional Prognostic Factors for Adverse Events’ Prediction in Patients with Chronic Heart Failure in the Southwest of China

Liu¹,

Zhang²,

Xv³

et al. 2022

JIR

Self Cite

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“…Second, it has long been observed that HF is associated with systemic inflammation. Numerous studies have validated that inflammation is involved in the pathogenesis of HF and associated with HF progression and prognosis 39–41. Last but not least, vascular inflammation is an underlying central mechanism determining the response to PCI or stenting.…”

Section: Discussionmentioning

confidence: 99%

“…Numerous studies have validated that inflammation is involved in the pathogenesis of HF and associated with HF progression and prognosis. [39][40][41] Last but not least, vascular inflammation is an underlying central mechanism determining the response to PCI or stenting. A cohort study published in the European Heart Journal indicated that persistent high inflammation status is observed frequently in patients undergoing PCI.…”

Section: Discussionmentioning

confidence: 99%

Association of D-dimer to albumin ratio with adverse cardiovascular outcomes in ischaemic heart failure patients with diabetes mellitus: a retrospective cohort study

Li,

Lin,

et al. 2024

BMJ Open

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ObjectiveTo determine the association of D-dimer to albumin ratio (DAR) with major adverse cardiovascular events (MACE) after percutaneous coronary intervention (PCI) in ischaemic heart failure patients with diabetes mellitus.DesignA retrospective observational cohort study.SettingSingle centre in Beijing, China, conducted at one of the largest cardiology centres in China.ParticipantsFrom June 2017 to June 2019, 3707 patients with heart failure and concomitant multiple vessel disease undergoing elective PCI were screened. A total 1021 of patients were enrolled after exclusion and the follow-up period was up to 36 months.Primary and secondary outcome measuresThe MACE was the primary measured outcome. The secondary outcomes were all-cause mortality, non-fatal myocardial infarction and any revascularisation.MethodsThese participants were grouped according to DAR tertiles. The cumulative incidence functions, Cox regression, restricted cubic spline and receiver operating characteristic curves were used to determine the association between DAR and outcomes. The subgroup analysis was also performed.ResultsAfter follow-up, MACE occurred in 404 (39.6%) participants. The cumulative hazards curve manifested significant differences in MACE, all-cause mortality and any revascularisation (log-rank test: all p<0.001). In adjusted models, DAR was an independent risk factor of MACE (tertile 2: HR 1.82, 95% CI 1.37 to 2.42; tertile 3: HR 1.74, 95% CI 1.28 to 2.36) and all-cause mortality (tertile 2: HR 2.04, 95% CI 1.35 to 3.11; tertile 3: HR 1.89, 95% CI 1.20 to 2.98). The optimal cut-off of DAR was 1.2. In the stratified analysis, sex, age, hypertension, hypercholesterolaemia, total revascularisation and any interfered vessel did not affect the independent predictive ability.ConclusionHigher DAR was independently associated with MACE and all-cause mortality after PCI in ischaemic heart failure patients with diabetes mellitus.

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“…Many studies have shown that LMR is also associated with cardiac disease severity and mortality. 8,[29][30][31][32][33][34] According to the results of our study, it has been shown that NLR, which is the parameter of the NPS, will be a good marker in evaluating the inflammatory response. Considering that parameters including more than 1 inflammatory pathway give better results, it will be seen that the NPS including LMR gives good results in our study.…”

Section: Discussionmentioning

confidence: 99%

Naples Prognostic Score and Prediction of Left Ventricular Ejection Fraction in STEMI Patients

et al. 2023

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The Naples score is a new prognostic score developed according to inflammatory and nutritional status and frequently evaluated in cancer patients. The present study aimed to evaluate using the Naples prognostic score (NPS) to predict the development of decreased left ventricular ejection fraction (LVEF) after acute ST-segment elevation myocardial infarction (STEMI). The study has a multicenter and retrospective design and included 2280 patients with STEMI who underwent primary percutaneous coronary intervention (pPCI) between 2017 and 2022. All participants were divided into 2 groups according to their NPS. The relationship between these 2 groups and LVEF was evaluated. The low-Naples risk group (Group-1) included 799 patients, and the high-Naples risk group (Group-2) had 1481 patients. Hospital mortality, shock, and no-reflow rates were found to be higher in Group 2 compared with Group 1 ( P < .001, P = .032, P = .004). The NPS was significantly inversely associated with discharge LVEF (B coefficient: −1.51, 95% CI-2.26; −.76, P = .001). NPS, a simple and easily calculated risk score, may help identify high-risk STEMI patients. To the best of our knowledge, the present study is the first to demonstrate the relationship between low LVEF and NPS in patients with STEMI.

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Associations of systemic inflammatory markers with the risks of chronic heart failure: A case-control study

Cited by 10 publications

References 37 publications

A Novel Nomogram Integrated with Systemic Inflammation Markers and Traditional Prognostic Factors for Adverse Events’ Prediction in Patients with Chronic Heart Failure in the Southwest of China

A Novel Nomogram Integrated with Systemic Inflammation Markers and Traditional Prognostic Factors for Adverse Events’ Prediction in Patients with Chronic Heart Failure in the Southwest of China

Association of D-dimer to albumin ratio with adverse cardiovascular outcomes in ischaemic heart failure patients with diabetes mellitus: a retrospective cohort study

Naples Prognostic Score and Prediction of Left Ventricular Ejection Fraction in STEMI Patients

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