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Figure 2 shows the restricted cubic spline curve depicting the association between the ROX index and all-cause mortality in COPD patients. An L-shaped relationship was observed between the ROX index and mortality, both during hospitalization and throughout the follow-up period. To quantify this association, a simple piecewise linear model was fitted. When the ROX index was below 9.72, each unit increase in the ROX index was associated with a significant reduction in 28-day mortality risk (HR per SD, 0.84 [95% CI 0.78–0.90], P<0.001). Above a ROX index of 9.72, the risk curve plateaued, and no significant association was found between the ROX index and 28-day mortality (HR per SD, 1.01 [95% CI 0.96–1.07], P =0.628). To assess the robustness of the identified inflection point, we performed a bootstrap sensitivity analysis with 1,000 resamples, which yielded a 95% confidence interval of 8.74 to 10.35 for the threshold value (Figure S1 and Figure S2), confirming the stability of the 9.72 cutoff. Furthermore, similar associations were observed in Cox proportional hazards analyses for 3-month mortality, 1-year mortality, in-ICU mortality, and in-hospital mortality.
Figure 2 shows the restricted cubic spline curve depicting the association between the ROX index and all-cause mortality in COPD patients. An L-shaped relationship was observed between the ROX index and mortality, both during hospitalization and throughout the follow-up period. To quantify this association, a simple piecewise linear model was fitted. When the ROX index was below 9.72, each unit increase in the ROX index was associated with a significant reduction in 28-day mortality risk (HR per SD, 0.84 [95% CI 0.78–0.90], P<0.001). Above a ROX index of 9.72, the risk curve plateaued, and no significant association was found between the ROX index and 28-day mortality (HR per SD, 1.01 [95% CI 0.96–1.07], P =0.628). To assess the robustness of the identified inflection point, we performed a bootstrap sensitivity analysis with 1,000 resamples, which yielded a 95% confidence interval of 8.74 to 10.35 for the threshold value (Figure S1 and Figure S2), confirming the stability of the 9.72 cutoff. Furthermore, similar associations were observed in Cox proportional hazards analyses for 3-month mortality, 1-year mortality, in-ICU mortality, and in-hospital mortality.
句法分析
1177/5000

图2显示了描绘ROX指数和COPD患者全因死亡率之间关系的限制性三次样条曲线。在住院期间和整个随访期间,观察到ROX指数和死亡率之间呈L型关系。为了量化这种联系,拟合了一个简单的分段线性模型。当ROX指数低于9.72时,ROX指数每增加一个单位都与28天死亡风险显著降低相关(HR/SD,0.84[95% CI 0.78–0.90],P<0.001)。当ROX指数高于9.72时,风险曲线趋于平稳,在ROX指数和28天死亡率之间没有发现显著相关性(HR/SD,1.01[95% CI 0.96–1.07],P =0.628)。为了评估已识别拐点的稳健性,我们对1000个重样本进行了自助敏感性分析,得出阈值的95%置信区间为8.74至10.35(图S1和图S2),证实了9.72临界值的稳定性。此外,对3个月死亡率、1年死亡率、ICU死亡率和住院死亡率的Cox比例风险分析也观察到了类似的相关性。

图2显示了描绘ROX指数和COPD患者全因死亡率之间关系的限制性三次样条曲线。在住院期间和整个随访期间,观察到ROX指数和死亡率之间呈L型关系。为了量化这种联系,拟合了一个简单的分段线性模型。当ROX指数低于9.72时,ROX指数每增加一个单位都与28天死亡风险显著降低相关(HR/SD,0.84[95% CI 0.78–0.90],P<0.001)。当ROX指数高于9.72时,风险曲线趋于平稳,在ROX指数和28天死亡率之间没有发现显著相关性(HR/SD,1.01[95% CI 0.96–1.07],P =0.628)。为了评估已识别拐点的稳健性,我们对1000个重样本进行了自助敏感性分析,得出阈值的95%置信区间为8.74至10.35(图S1和图S2),证实了9.72临界值的稳定性。此外,对3个月死亡率、1年死亡率、ICU死亡率和住院死亡率的Cox比例风险分析也观察到了类似的相关性。

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