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Войти в исследования Journal of the American Society of Nephrology : JASN · 2026
Cardiovascular Risk across Different Glomerular Diseases.
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Jin Luhua, Liu Jiao, She Caoxiang, Qiu Yuqi, Zhou Shiyu, Sun Yinfang, Li Lantian, Luo Fan, Nie Sheng
Аннотация
KEY POINTS: The incidence rate of cardiovascular death in the overall GN cohort varied by primary cause. Compared with the general population, patients with various subtypes of GN exhibited higher cardiovascular death risks. Early detection and accurate assessment of cardiovascular involvement in the GN population with different etiologies were essential.
BACKGROUND: It was well-established that patients with GN face an elevated cardiovascular risk, yet little was known about the differential impacts of various etiologies of glomerular disease on cardiovascular outcomes. In this large cohort study encompassing patients with distinct forms of GN, we aimed to compare the effects of different etiologies on cardiovascular death events.
METHODS: Using data from the China Renal Data System database, we identified 66,247 patients with GN across 14 distinct etiologies between 2000 and 2022. The risks of cardiovascular death, ischemic heart disease-associated death, and stroke-associated death among different types of patients were compared.
RESULTS: Within a cohort of 66,247 patients with GN, IgA nephropathy (39%) was the most prevalent etiology, followed by lupus nephritis (17%) and membranous nephropathy (16%). During follow-up, 971 cardiovascular deaths (1%), 337 ischemic heart-associated deaths (0.5%), and 286 stroke-associated deaths (0.4%) were recorded. The overall crude cardiovascular death rates across GN subtypes ranged from 0.7 to 22.6 per 1000 person-years. All patients with glomerular diseases demonstrated elevated cardiovascular death risks compared with the general population, with lupus nephritis exhibiting the highest risk (indirect standardized mortality ratio of 27.9) and minimal change disease the lowest (indirect standardized mortality ratio of 3.91). Furthermore, when compared directly with patients with minimal change disease, all other GN subtypes were associated with significantly greater cardiovascular death risk.
CONCLUSIONS: Patients with different underlying glomerular diseases exhibited markedly heterogeneous and elevated cardiovascular risk profiles.
BACKGROUND: It was well-established that patients with GN face an elevated cardiovascular risk, yet little was known about the differential impacts of various etiologies of glomerular disease on cardiovascular outcomes. In this large cohort study encompassing patients with distinct forms of GN, we aimed to compare the effects of different etiologies on cardiovascular death events.
METHODS: Using data from the China Renal Data System database, we identified 66,247 patients with GN across 14 distinct etiologies between 2000 and 2022. The risks of cardiovascular death, ischemic heart disease-associated death, and stroke-associated death among different types of patients were compared.
RESULTS: Within a cohort of 66,247 patients with GN, IgA nephropathy (39%) was the most prevalent etiology, followed by lupus nephritis (17%) and membranous nephropathy (16%). During follow-up, 971 cardiovascular deaths (1%), 337 ischemic heart-associated deaths (0.5%), and 286 stroke-associated deaths (0.4%) were recorded. The overall crude cardiovascular death rates across GN subtypes ranged from 0.7 to 22.6 per 1000 person-years. All patients with glomerular diseases demonstrated elevated cardiovascular death risks compared with the general population, with lupus nephritis exhibiting the highest risk (indirect standardized mortality ratio of 27.9) and minimal change disease the lowest (indirect standardized mortality ratio of 3.91). Furthermore, when compared directly with patients with minimal change disease, all other GN subtypes were associated with significantly greater cardiovascular death risk.
CONCLUSIONS: Patients with different underlying glomerular diseases exhibited markedly heterogeneous and elevated cardiovascular risk profiles.