ArticleBMC pulmonary medicine2023
The potential of cystatin C as a predictive biomarker in pulmonary hypertension.
Article in BMC pulmonary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 10 citations in OpenAlex.
- Elevated asprosin in hypertension: evidence from an exploratory case-control study.Scientific reports · 2026Article
- Construction of nomogram for predicting pulmonary hypertension on echocardiography in chronic obstructive pulmonary disease: a single-center retrospective study.Open medicine (Warsaw, Poland) · 2026Article
- The Right Approach: Power of Biomarkers in the Assessment and Management of Right Ventricular Dysfunction.International journal of molecular sciences · 2025Review
- A pilot study investigating renal biomarkers in dogs with pulmonary hypertension: a comparison between cystatin-C, symmetric dimethylarginine, and creatinine.The Journal of veterinary medical science · 2025Article
- Association between high-sensitivity C-reactive protein, cystatin C and all-cause mortality in middle-aged and elderly participants with sarcopenia.Aging clinical and experimental research · 2025Article
- Advances and applications of biosensors in pulmonary hypertension.Respiratory research · 2025Review
- Proteomic Risk Score of Increased Respiratory Susceptibility: A Multicohort Study.American journal of respiratory and critical care medicine · 2025Article
- Bibliometric analysis of T-cells immunity in pulmonary hypertension from 1992 to 2022.Immunity, inflammation and disease · 2024Article
- Circulating Biomarkers in Pulmonary Arterial Hypertension: An Update.Biomolecules · 2024Review
- Association of serum creatinine to cystatin C to waist circumference ratios and hypertension: evidence from China health and retirement longitudinal study.Frontiers in endocrinology · 2024Article
- Correlation Between Cystatin C and the Severity of Cardiac Dysfunction in Patients with Systolic Heart Failure.Risk management and healthcare policy · 2023Article
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Authors and funding
14 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundCystatin C is a novel biomarker to identify renal dysfunction and cardiovascular risk.
objectiveThe aim of this study was to investigate the role of cystatin C in non-invasive risk prediction in a large cohort of patients with pre-capillary pulmonary hypertension (PH).
methodWe retrospectively analyzed pre-capillary PH patients with available cystatin C and hemodynamic data derived from right heart catheterization.
resultsA total of 398 consecutive patients with confirmed pre-capillary PH were recruited from Fuwai Hospital between November 2020 and November 2021. Over a median duration of 282 days, 72 (18.1%) of these patients experienced clinical worsening. Cystatin C levels significantly correlated with cardiac index (r = -0.286, P < 0.001), mixed venous oxygen saturation (r = -0.216, P < 0.001), and tricuspid annular plane systolic excursion (r = -0.236, P < 0.001), and high cystatin C levels independently predicted a poor prognosis after adjusting potential confounders in different models (all P < 0.05). A three-group non-invasive risk model was constructed based on the combined assessment of the cystatin C and WHO-FC using dichotomous cut-off value. Those patients with higher cystatin C (≥ 1.0 mg/L) and a worse WHO-FC experienced the highest risk of endpoint occurrence. The predictive capacity of this model was comparable to that of an existing invasive risk stratification model (area under curve: 0.657 vs 0.643, P = 0.619).
conclusionsCystatin C levels were associated with disease severity and prognosis in patients with pre-capillary PH. A combination of high cystatin C and advanced WHO-FC identifies patients at particularly high risk of clinical deterioration.
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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 Socratic graph.