PDF(Pubmed)
Abstract：
UNASSIGNED: Asthma is associated with persistent airway inflammation, and numerous studies have investigated inflammatory markers causing asthma. However, the systemic immune-inflammation index (SII) is a novel inflammatory marker, with scarce research reporting on the correlation between SII and asthma and asthma-related events.
UNASSIGNED: The purpose of this study was to assess the relationship between SII and asthma and asthma-related events (including whether asthma is still present, asthma flare-ups in the past year, and asthma duration) using data from the National Health and Nutrition Examination Survey (NHANES).
UNASSIGNED: The study utilized data from NHANES 2009-2018 with asthma and asthma-related events as dependent variables and SII as an independent variable. Multifactor logistic regression was employed to assess the correlation between the independent and dependent variables. Smoothed curve-fitting and threshold effect analyses were also carried out to determine the presence of non-linear relationships. Subgroup analyses were then performed to identify sensitive populations.
UNASSIGNED: In this study, we analyzed data from 40,664 participants to elucidate the association between SII and asthma and its related events. The study findings indicated a positive correlation between SII and asthma, with a relative risk increase of 0.03% for asthma incidence per one percentage point increase in SII (OR = 1.0003, 95% CI: 1.0002, 1.0004). For individuals still suffering from asthma, higher SII also indicated a positive correlation with ongoing asthma (OR = 1.0004, 95% CI: 1.0001, 1.0006). However, no statistically significant association was observed between SII and asthma exacerbations within the following year (OR = 1.0001, p > 0.05). When considering the duration of asthma, we observed a slight positive correlation with SII (β = 0.0017, 95% CI: 0.0005, 0.0029). Additionally, a significant non-linear relationship between SII and asthma duration emerged at the threshold of 504.3 (β = 0.0031, 95% CI: 0.0014-0.0048, p = 0.0003). Subgroup analysis revealed a stronger correlation between SII and asthma in male patients (OR = 1.0004, 95% CI: 1.0002-1.0006) and individuals aged 60 and above (OR = 1.0005, 95% CI: 1.0003-1.0007). No gender differences were observed for individuals still suffering from asthma. However, the positive correlation between SII and asthma was more pronounced in participants under 20 years old (OR = 1.0004 in Model 3, 95% CI: 1.0002-1.0006). Specific sensitive subgroups for asthma exacerbation recurrence within the past year were not identified. When considering asthma duration, we observed this association to be significant in male individuals (β = 0.0031 in Model 3, 95% CI: 0.0014-0.0049) as well as individuals aged 20 to 39 (β = 0.0023 in Model 3, 95% CI: 0.0005-0.0040).
UNASSIGNED: Our study concludes that SII is positively correlated with the persistence of asthma yet has limited predictive power for asthma recurrence. This highlights SII\'s potential as a tool for assessing asthma risk and formulating targeted management strategies.
UNASSIGNED: The purpose of this study was to assess the relationship between SII and asthma and asthma-related events (including whether asthma is still present, asthma flare-ups in the past year, and asthma duration) using data from the National Health and Nutrition Examination Survey (NHANES).
UNASSIGNED: The study utilized data from NHANES 2009-2018 with asthma and asthma-related events as dependent variables and SII as an independent variable. Multifactor logistic regression was employed to assess the correlation between the independent and dependent variables. Smoothed curve-fitting and threshold effect analyses were also carried out to determine the presence of non-linear relationships. Subgroup analyses were then performed to identify sensitive populations.
UNASSIGNED: In this study, we analyzed data from 40,664 participants to elucidate the association between SII and asthma and its related events. The study findings indicated a positive correlation between SII and asthma, with a relative risk increase of 0.03% for asthma incidence per one percentage point increase in SII (OR = 1.0003, 95% CI: 1.0002, 1.0004). For individuals still suffering from asthma, higher SII also indicated a positive correlation with ongoing asthma (OR = 1.0004, 95% CI: 1.0001, 1.0006). However, no statistically significant association was observed between SII and asthma exacerbations within the following year (OR = 1.0001, p > 0.05). When considering the duration of asthma, we observed a slight positive correlation with SII (β = 0.0017, 95% CI: 0.0005, 0.0029). Additionally, a significant non-linear relationship between SII and asthma duration emerged at the threshold of 504.3 (β = 0.0031, 95% CI: 0.0014-0.0048, p = 0.0003). Subgroup analysis revealed a stronger correlation between SII and asthma in male patients (OR = 1.0004, 95% CI: 1.0002-1.0006) and individuals aged 60 and above (OR = 1.0005, 95% CI: 1.0003-1.0007). No gender differences were observed for individuals still suffering from asthma. However, the positive correlation between SII and asthma was more pronounced in participants under 20 years old (OR = 1.0004 in Model 3, 95% CI: 1.0002-1.0006). Specific sensitive subgroups for asthma exacerbation recurrence within the past year were not identified. When considering asthma duration, we observed this association to be significant in male individuals (β = 0.0031 in Model 3, 95% CI: 0.0014-0.0049) as well as individuals aged 20 to 39 (β = 0.0023 in Model 3, 95% CI: 0.0005-0.0040).
UNASSIGNED: Our study concludes that SII is positively correlated with the persistence of asthma yet has limited predictive power for asthma recurrence. This highlights SII\'s potential as a tool for assessing asthma risk and formulating targeted management strategies.
摘要：
■哮喘与持续气道炎症有关，许多研究调查了导致哮喘的炎症标志物。然而,全身免疫炎症指数(SII)是一种新型的炎症标志物,很少有关于SII与哮喘和哮喘相关事件之间相关性的研究报告。
■这项研究的目的是评估SII与哮喘和哮喘相关事件之间的关系（包括哮喘是否仍然存在，在过去的一年里哮喘发作,和哮喘持续时间）使用来自国家健康和营养检查调查（NHANES）的数据。
■该研究利用了NHANES2009-2018年的数据，其中哮喘和哮喘相关事件作为因变量，SII作为自变量。采用多因素Logistic回归评估自变量和因变量之间的相关性。还进行了平滑曲线拟合和阈值效应分析以确定非线性关系的存在。然后进行亚组分析以鉴定敏感群体。
■在这项研究中，我们分析了40,664名参与者的数据,以阐明SII与哮喘及其相关事件之间的关联.研究结果表明，SII与哮喘之间存在正相关，SII每增加1个百分点,哮喘发病率的相对风险增加0.03%(OR=1.0003,95%CI:1.0002,1.0004).对于仍然患有哮喘的人来说，较高的SII也表明与持续哮喘呈正相关(OR=1.0004,95%CI:1.0001,1.0006).然而,在SII和随后一年的哮喘发作之间未观察到统计学显著关联(OR=1.0001,p>0.05).当考虑哮喘的持续时间时，我们观察到与SII略有正相关(β=0.0017，95%CI：0.0005，0.0029)。此外,在阈值504.3时,SII与哮喘持续时间之间存在显著的非线性关系(β=0.0031,95%CI:0.0014~0.0048,p=0.0003).亚组分析显示，男性患者（OR=1.0004，95％CI：1.0002-1.0006）和60岁及以上人群（OR=1.0005，95％CI：1.0003-1.0007）中，SII与哮喘的相关性更强。对于仍然患有哮喘的个体没有观察到性别差异。然而,SII与哮喘之间的正相关在20岁以下的参与者中更为明显(在模型3中OR=1.0004,95%CI:1.0002-1.0006).未发现过去一年内哮喘加重复发的特定敏感亚组。当考虑哮喘持续时间时，我们观察到这种关联在男性个体(模型3中β=0.0031,95%CI:0.0014-0.0049)以及20~39岁个体(模型3中β=0.0023,95%CI:0.0005-0.0040)中具有显著性.
■我们的研究得出结论，SII与哮喘的持续性呈正相关，但对哮喘复发的预测能力有限。这突出了SII作为评估哮喘风险和制定有针对性的管理策略的工具的潜力。
■这项研究的目的是评估SII与哮喘和哮喘相关事件之间的关系（包括哮喘是否仍然存在，在过去的一年里哮喘发作,和哮喘持续时间）使用来自国家健康和营养检查调查（NHANES）的数据。
■该研究利用了NHANES2009-2018年的数据，其中哮喘和哮喘相关事件作为因变量，SII作为自变量。采用多因素Logistic回归评估自变量和因变量之间的相关性。还进行了平滑曲线拟合和阈值效应分析以确定非线性关系的存在。然后进行亚组分析以鉴定敏感群体。
■在这项研究中，我们分析了40,664名参与者的数据,以阐明SII与哮喘及其相关事件之间的关联.研究结果表明，SII与哮喘之间存在正相关，SII每增加1个百分点,哮喘发病率的相对风险增加0.03%(OR=1.0003,95%CI:1.0002,1.0004).对于仍然患有哮喘的人来说，较高的SII也表明与持续哮喘呈正相关(OR=1.0004,95%CI:1.0001,1.0006).然而,在SII和随后一年的哮喘发作之间未观察到统计学显著关联(OR=1.0001,p>0.05).当考虑哮喘的持续时间时，我们观察到与SII略有正相关(β=0.0017，95%CI：0.0005，0.0029)。此外,在阈值504.3时,SII与哮喘持续时间之间存在显著的非线性关系(β=0.0031,95%CI:0.0014~0.0048,p=0.0003).亚组分析显示，男性患者（OR=1.0004，95％CI：1.0002-1.0006）和60岁及以上人群（OR=1.0005，95％CI：1.0003-1.0007）中，SII与哮喘的相关性更强。对于仍然患有哮喘的个体没有观察到性别差异。然而,SII与哮喘之间的正相关在20岁以下的参与者中更为明显(在模型3中OR=1.0004,95%CI:1.0002-1.0006).未发现过去一年内哮喘加重复发的特定敏感亚组。当考虑哮喘持续时间时，我们观察到这种关联在男性个体(模型3中β=0.0031,95%CI:0.0014-0.0049)以及20~39岁个体(模型3中β=0.0023,95%CI:0.0005-0.0040)中具有显著性.
■我们的研究得出结论，SII与哮喘的持续性呈正相关，但对哮喘复发的预测能力有限。这突出了SII作为评估哮喘风险和制定有针对性的管理策略的工具的潜力。
