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Zhao C, Yan L, Liu Y, Chen S, Lan B, Liu R, Xin J, Shi T, Yang X. Effect of CBC-Derived Inflammatory Indicators in Predicting Chronic Kidney Disease Risk in Hypertrophic Cardiomyopathy Patients. Biomedicines 2025; 13:997. [PMID: 40299679 PMCID: PMC12024573 DOI: 10.3390/biomedicines13040997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2025] [Revised: 04/17/2025] [Accepted: 04/17/2025] [Indexed: 05/01/2025] Open
Abstract
Background: Hypertrophic cardiomyopathy (HCM) is a prevalent condition that often coexists with chronic kidney disease (CKD), significantly impacting patient prognosis. This study aimed to investigate the predictive value of complete blood cell counts derived inflammatory indicators in assessing CKD risk in HCM patients. Methods: This study enrolled HCM patients and categorized them into CKD and non-CKD group based on discharge diagnoses. Analyzed indicators included systemic inflammation response index (SIRI), systemic immune inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR). Least absolute shrinkage and selection operator (LASSO) logistic and multivariable logistic regression were employed to identified independent risk factors for CKD, which were subsequently utilized to develop a nomogram. Results: A total of 1795 HCM patients were included, including 112 (6.24%) individuals assigned to the CKD group. In univariate analyses, NLR (AUC: 0.755; 95%CI: 0.711-0.800) demonstrated superior accuracy compared to others. Eighteen baseline characteristics exhibiting statistical difference were incorporated into LASSO-logistic regression. Six factors were further selected by multivariable logistic regression. The results identified male gender (OR: 2.622; 95% CI: 1.565-4.393, p < 0.001), Hb (OR: 0.972; 95% CI: 0.962-0.981, p < 0.001), Pro-BNP (OR: 1.000; 95% CI: 1.000-1.000, p < 0.001), SIRI (OR: 1.037; 95% CI: 1.026-1.049, p < 0.001), and SII (OR: 1.000; 95% CI: 1.000-1.001, p = 0.003) as risk factors. These five factors were used to construct a nomogram, which exhibited good accuracy and consistency. Conclusions: Male gender, Hb, Pro-BNP, SIRI, and SII were identified as risk factors for CKD risk in HCM patients. A nomogram was developed using these factors, which may facilitate early identification and management of high-risk individuals.
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Affiliation(s)
- Changying Zhao
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, No. 277 Yanta West Road, Xi’an 710061, China
| | - Luqin Yan
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, No. 277 Yanta West Road, Xi’an 710061, China
| | - Yong Liu
- Intensive Care Unit of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710114, China
| | - Siyuan Chen
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, No. 277 Yanta West Road, Xi’an 710061, China
| | - Beidi Lan
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, No. 277 Yanta West Road, Xi’an 710061, China
| | - Ruohan Liu
- Xi’an Jiaotong University Health Science Center, Xi’an 710061, China
| | - Jinqi Xin
- Xi’an Jiaotong University Health Science Center, Xi’an 710061, China
| | - Tao Shi
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, No. 277 Yanta West Road, Xi’an 710061, China
| | - Xiaohong Yang
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, No. 277 Yanta West Road, Xi’an 710061, China
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Ruan DP, Li YK, Qian XX. Features of Idiopathic Halitosis and Its Association With Low-Grade Systemic Inflammation. Oral Dis 2025; 31:1358-1364. [PMID: 39462796 DOI: 10.1111/odi.15173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 09/25/2024] [Accepted: 10/15/2024] [Indexed: 10/29/2024]
Abstract
OBJECTIVES Idiopathic halitosis is occasionally encountered in clinical practice, yet with scarce reports. This work aimed to investigate its features and potential association with low-grade systemic inflammation (LGSI). METHODS This retrospective study reviewed idiopathic halitosis from 2469 halitosis patients and compared them with 63 healthy controls (HCs). Organoleptic score (OLS), exhaled volatile sulfur compounds (VSCs), serum inflammatory cytokines, and fractional exhaled nitric oxide (FeNO200) to indicate LGSI were determined. RESULTS Totally, 54 (2.19%) idiopathic halitosis patients were identified and they were extraoral. Dimethyl sulfide (DMS) was found to be the primary exhaled VSC. Inflammatory cytokines were slightly elevated in 5.56% (3/54) of idiopathic halitosis compared to none of HCs (p = 0.095). FeNO200 was elevated in 79.63% (43/54) of idiopathic halitosis compared to none of HCs (p < 0.001), with a sensitivity of 79.63% and specificity of 100% for the diagnosis of idiopathic halitosis. The FeNO200 level had positive correlations with OLS (r = 0.871) and DMS level (r = 0.485). CONCLUSION Idiopathic halitosis is a rare condition which is closely associated with LGSI and possibly caused by unexplored extraoral pathologies. FeNO200 is recommended for its diagnosis with a high diagnostic power.
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Affiliation(s)
- Dan Ping Ruan
- Department of Stomatology, Minhang Hospital, Fudan University, Shanghai, China
| | - Ye Kan Li
- Department of Stomatology, Minhang Hospital, Fudan University, Shanghai, China
| | - Xiao Xian Qian
- Halitosis Clinic and Department of Gastroenterology, Minhang Hospital, Fudan University, Shanghai, China
- No.3 Internal Medicine Department, People's Hospital of Daguan County, Zhaotong, Yunnan Province, China
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Schwegel N, Zach D, Peikert A, Santner V, Höller V, Gollmer J, Späth J, Riepl H, Rainer PP, Wallner M, Pilz S, Zirlik A, von Lewinski D, Ablasser K, Verheyen N, Kolesnik E. The Prognostic Value of Right Ventricular Function in Patients with Chronic Heart Failure-A Prospective Study. J Clin Med 2024; 13:1930. [PMID: 38610695 PMCID: PMC11012981 DOI: 10.3390/jcm13071930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 03/19/2024] [Accepted: 03/25/2024] [Indexed: 04/14/2024] Open
Abstract
Background: In patients with stable chronic heart failure with a reduced ejection fraction (HFrEF), left ventricular ejection fraction (LVEF) provides limited prognostic value, especially in patients with moderately to severely reduced LVEF. Echocardiographic parameters of right ventricular function may be associated with adverse clinical events in these patients. Therefore, we analyzed 164 patients with HFrEF in a prospective single-center cohort study to evaluate whether the parameters of right ventricular function are associated with worsening heart failure (WHF) hospitalizations, cardiovascular and all-cause deaths and combined endpoints. Methods: Echocardiographic cine loops were analyzed using vendor-independent post-processing software. Multivariate Cox regression analyses were performed, which were then adjusted for clinical characteristics and left ventricular functional parameters. Results: In these models, higher tricuspid annular plane systolic excursion (TAPSE) was significantly associated with lower rates of WHF hospitalizations (HR 0.880, 95%CI 0.800-0.968, p = 0.008), a composite endpoint of WHF hospitalizations and cardiovascular death (HR 0.878, 95%CI 0.800-0.964, p = 0.006), and a composite endpoint of WHF hospitalization and all-cause death (HR 0.918, 95%CI 0.853-0.988, p = 0.023). These associations were more pronounced in patients with LVEF ≤ 35%. Conclusions: In conclusion, in patients with HFrEF, TAPSE is an independent prognosticator for adverse clinical outcomes, warranting further studies to elucidate whether incorporating TAPSE into established risk scores improves their diagnostic accuracy.
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Affiliation(s)
- Nora Schwegel
- Division of Cardiology, University Heart Center Graz, Medical University of Graz, 8036 Graz, Austria
| | - David Zach
- Division of Cardiology, University Heart Center Graz, Medical University of Graz, 8036 Graz, Austria
| | - Alexander Peikert
- Division of Cardiology, University Heart Center Graz, Medical University of Graz, 8036 Graz, Austria
| | - Viktoria Santner
- Division of Cardiology, University Heart Center Graz, Medical University of Graz, 8036 Graz, Austria
| | - Viktoria Höller
- Division of Cardiology, University Heart Center Graz, Medical University of Graz, 8036 Graz, Austria
| | - Johannes Gollmer
- Division of Cardiology, University Heart Center Graz, Medical University of Graz, 8036 Graz, Austria
| | - Johannes Späth
- Division of Cardiology, University Heart Center Graz, Medical University of Graz, 8036 Graz, Austria
| | - Hermann Riepl
- Division of Cardiology, University Heart Center Graz, Medical University of Graz, 8036 Graz, Austria
| | - Peter P. Rainer
- Division of Cardiology, University Heart Center Graz, Medical University of Graz, 8036 Graz, Austria
- Department of Medicine, St. Johann in Tirol General Hospital, 6380 St. Johann in Tirol, Austria
- BioTechMed Graz, 8010 Graz, Austria
| | - Markus Wallner
- Division of Cardiology, University Heart Center Graz, Medical University of Graz, 8036 Graz, Austria
| | - Stefan Pilz
- Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | - Andreas Zirlik
- Division of Cardiology, University Heart Center Graz, Medical University of Graz, 8036 Graz, Austria
| | - Dirk von Lewinski
- Division of Cardiology, University Heart Center Graz, Medical University of Graz, 8036 Graz, Austria
| | - Klemens Ablasser
- Division of Cardiology, University Heart Center Graz, Medical University of Graz, 8036 Graz, Austria
| | - Nicolas Verheyen
- Division of Cardiology, University Heart Center Graz, Medical University of Graz, 8036 Graz, Austria
| | - Ewald Kolesnik
- Division of Cardiology, University Heart Center Graz, Medical University of Graz, 8036 Graz, Austria
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