Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, Canada.
J Diabetes. 2022 Dec;14(12):815-821. doi: 10.1111/1753-0407.13335. Epub 2022 Dec 8.
The objective of this study was to evaluate whether the observed nadir in a U- or J-shaped relationship between a particular risk factor and a future health outcome is a function of the distribution of the risk factor in the sample being analyzed.
Data from the ORIGIN trial were used to assess the relationship between three risk factors (weight, systolic blood pressure, and serum insulin) and the hazard of a major cardiovascular event comprising a nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death. Three spline curves were generated for each risk factor. The first was based on all available data, the second for a subgroup with a higher mean risk factor level, and the third for a subgroup with a lower mean risk factor level. Nadir levels of the risk factor (i.e., risk factor levels predicting the lowest hazard) were then identified for each spline curve.
When compared to the nadir values based on all available data, nadir values for all three risk factors were higher for the subgroups with higher mean levels and lower for those with lower mean levels.
The distribution of a risk factor in the population is an important determinant of its nadir value. Populations with high or low values may have high and low nadirs, respectively. Identification of a nadir for a modifiable risk factor from epidemiologic relationships may therefore arise from this distribution bias and is therefore unrelated to therapeutic targets.
本研究旨在评估特定风险因素与未来健康结果之间 U 型或 J 型关系中的观察到的最低点是否是分析样本中风险因素分布的函数。
使用 ORIGIN 试验的数据评估了三个风险因素(体重、收缩压和血清胰岛素)与主要心血管事件(包括非致命性心肌梗死、非致命性中风或心血管死亡)的风险之间的关系。为每个风险因素生成了三个样条曲线。第一个基于所有可用数据,第二个基于风险因素平均水平较高的亚组,第三个基于风险因素平均水平较低的亚组。然后为每个样条曲线确定了风险因素的最低点(即预测最低风险的风险因素水平)。
与基于所有可用数据的最低点值相比,风险因素较高和较低的亚组的三个风险因素的最低点值均较高。
人群中风险因素的分布是其最低点值的重要决定因素。高值或低值人群可能分别具有高和低值。因此,从流行病学关系中识别可改变风险因素的最低点可能源于这种分布偏差,与治疗目标无关。