Predictive Value of the Naples Prognostic Score on Long-Term Outcomes in Patients with Peripheral Artery Disease Revascularized via Percutaneous Intervention.

BACKGROUND: Lower extremity peripheral artery disease (PAD) is the third most common clinical manifestation of atherosclerosis after coronary artery disease and stroke. Despite successful endovascular treatment (EVT), mortality and morbidity rates still remain higher in patients with PAD. Naples prognostic score (NPS) is a novel scoring system, reflects the patient's nutritional and immunological statuses as well as systemic inflammatory responses. In this study, we aimed to investigate the relationship between NPS and long-term outcomes in patients with PAD. METHODS: The population of this retrospective study consisted of 629 PAD patients who underwent EVT at Kafkas University Hospital between 2020 and 2023. For each patient, the NPS was calculated and then patients were divided into 3 groups based on their NPS. The primary end point of the study was the rate of major adverse cardiovascular (MACEs) and limb events (MALEs), that is, all-cause death or development of critical limb ischemia with consequent amputation. RESULTS: Of a total of 629 patients, 62 were classified into group 0 (NPS 0), 315 into group 1 (NPS 1 or 2), and 252 into group 2 (NPS 3 or 4). The distribution of patients' baseline characteristics, angiographic features and MACEs and MALEs according to the NPS groups was analyzed. Significant adverse outcomes differences were observed among the 3 groups (P < 0.001). Multivariate logistic regression analysis revealed that age, diabetes mellitus, chronic kidney disease, lowest preprocedure ankle-brachial index, left ventricular ejection fraction and NPS (hazard ratio 1.916, 95% confidence interval [CI] 1.530-2.398, P < 0.001) were independent predictors of MACE whereas diabetes mellitus, presence of previous PAD, hemoglobin level, in-hospital acute thrombotic occlusion and NPS (odds ratio 1.963, 95% CI 1.489-2.588, P < 0.001) were independent predictors of MALE. CONCLUSIONS: The inflammatory and nutritional state reflected by NPS levels was strongly associated with all-cause mortality and amputation after EVT in patients with PAD. Furthermore, NPS was found to be an independent predictor of these clinical outcomes.

A Relação entre o Índice de Imuno-Inflamação Sistêmica e Isquemia com Artérias Coronárias Não Obstrutivas em Pacientes Submetidos à Angiografia Coronária / The Relationship between the Systemic Immune-Inflammation Index and Ischemia with Non-Obstructive Coronary Arteries in Patients Undergoing Coronary Angiography

Resumo Fundamento: A isquemia com artéria coronária não obstrutiva (INOCA) é uma doença cardíaca isquêmica que inclui principalmente disfunção microvascular coronariana e/ou vasoespasmo coronariano epicárdico devido à disfunção vascular coronariana subjacente e pode ser observada mais comumente em pacientes do sexo feminino. O índice de inflamação imunológica sistêmica (SII, relação plaquetas × neutrófilos/linfócitos) é um novo marcador que prediz resultados clínicos adversos na doença arterial coronariana (DAC). Objetivo: Este estudo tem como objetivo investigar a relação entre INOCA e SII, um novo marcador associado à inflamação. Métodos: Um total de 424 pacientes (212 pacientes com INOCA e 212 controles normais) foram incluídos no estudo. Amostras de sangue venoso periférico foram recebidas de toda a população do estudo antes da angiografia coronária para medir o SII e outros parâmetros hematológicos. Em nosso estudo o valor de p<0,05' foi considerado estatisticamente significativo. Resultados: O valor de corte ideal do SII para prever o INOCA foi 153,8, com sensibilidade de 44,8% e especificidade de 78,77% (Área sob a curva [AUC]: 0,651 [IC 95%: 0,603-0,696, p=0,0265]). Suas curvas ROC foram comparadas para avaliar se o SII tinha um efeito preditivo adicional valor sobre os componentes. O valor da AUC do SII foi significativamente maior do que o do linfócito (AUC: 0,607 [IC 95%: 0,559-0,654, p = 0,0273]), neutrófilos (AUC: 0,559 [IC 95%: 0,511-0,607, p = 0,028]) e plaquetas (AUC: 0,590 [IC 95%: 0,541-0,637, p = 0,0276]) em pacientes INOCA. Conclusões: Verificou-se que um nível elevado de SII estava independentemente associado à existência de INOCA. O valor do SII pode ser usado como um indicador para adicionar aos métodos tradicionais e caros comumente usados na previsão do INOCA.

Abstract Background: Ischemia with the non-obstructive coronary artery (INOCA) is an ischemic heart disease that mostly includes coronary microvascular dysfunction and/or epicardial coronary vasospasm due to underlying coronary vascular dysfunction and can be seen more commonly in female patients. The systemic immune-inflammation index (SII, platelet × neutrophil/lymphocyte ratio) is a new marker that predicts adverse clinical outcomes in coronary artery disease (CAD). Objective: This study aims to investigate the relationship between INOCA and SII, a new marker associated with inflammation. Methods: A total of 424 patients (212 patients with INOCA and 212 normal controls) were included in the study. Peripheral venous blood samples were received from the entire study population prior to coronary angiography to measure SII and other hematological parameters. In our study, the value of p<0.05' was considered statistically significant. Results: The optimal cut-off value of SII for predicting INOCA was 153.8 with a sensitivity of 44.8% and a specificity of 78.77% (Area under the curve [AUC]: 0.651 [95% CI: 0.603-0.696, p=0.0265]). Their ROC curves were compared to assess whether SII had an additional predictive value over components. The AUC value of SII was found to be significantly higher than that of lymphocyte (AUC: 0.607 [95% CI: 0.559-0.654, p = 0.0273]), neutrophil (AUC: 0.559 [95%CI: 0.511-0.607, p=0.028]) and platelet (AUC: 0.590 [95% CI: 0.541-0.637, p = 0.0276]) in INOCA patients. Conclusions: A high SII level was found to be independently associated with the existence of INOCA. The SII value can be used as an indicator to add to the traditional expensive methods commonly used in INOCA prediction.