Abstract：
Glucocorticoid (GC) remains the mainstay of treatment for cutaneous adverse drug reactions (cADRs) but has been associated with side effects, emphasizing the importance of precisely managing the duration of high-dose GC treatment. Although the platelet-to-lymphocyte ratio (PLR) has been proven to be closely related to inflammatory disorders, its ability to predict the timing of GC dose reduction (Tr) during cADRs treatment remains obscure.
Hospitalized patients diagnosed with cADRs treated with glucocorticoids were analyzed in the present study to evaluate the association between PLR values and Tr values using linear, locally weighted scatter plot smoothing (LOWESS) and Poisson regression. Subgroup and ROC curve analyses were conducted to identify confounding variables and assess the predictive performance, respectively.
A total of 308 patients were included in the study, with a median age of 47.0 (31.0-62.0) years old and a median incubation period of 4 days. Antibiotics (n = 113, 36.7%) were the most common cause of cADRs, followed by Chinese herbs (n = 76, 24.7%). PLR values were positively correlated with Tr values during linear regression (P < 0.001, r = 0.414) and LOWESS regression analyses. Poisson regression showed PLR was an independent risk factor for higher Tr values (the incidence rate ratio ranged from 1.016 to 1.070 and P < 0.05 for all). The area under the curve of PLR for predicting Tr < 7 days was 0.917.
PLR is a simple and convenient parameter with huge prospects for application as a biomarker to assist clinicians in optimally managing patients treated with glucocorticoid therapy for cADRs.
Hospitalized patients diagnosed with cADRs treated with glucocorticoids were analyzed in the present study to evaluate the association between PLR values and Tr values using linear, locally weighted scatter plot smoothing (LOWESS) and Poisson regression. Subgroup and ROC curve analyses were conducted to identify confounding variables and assess the predictive performance, respectively.
A total of 308 patients were included in the study, with a median age of 47.0 (31.0-62.0) years old and a median incubation period of 4 days. Antibiotics (n = 113, 36.7%) were the most common cause of cADRs, followed by Chinese herbs (n = 76, 24.7%). PLR values were positively correlated with Tr values during linear regression (P < 0.001, r = 0.414) and LOWESS regression analyses. Poisson regression showed PLR was an independent risk factor for higher Tr values (the incidence rate ratio ranged from 1.016 to 1.070 and P < 0.05 for all). The area under the curve of PLR for predicting Tr < 7 days was 0.917.
PLR is a simple and convenient parameter with huge prospects for application as a biomarker to assist clinicians in optimally managing patients treated with glucocorticoid therapy for cADRs.
摘要：
背景：糖皮质激素（GC）仍然是治疗皮肤药物不良反应（cADR）的主要手段，但与副作用有关，强调精确管理高剂量GC治疗持续时间的重要性。尽管血小板与淋巴细胞比率（PLR）已被证明与炎症性疾病密切相关，其预测cADRs治疗期间GC剂量减少(Tr)时间的能力仍不清楚。
方法：在本研究中分析了使用糖皮质激素治疗的cADRs住院患者，以使用线性评估PLR值与Tr值之间的关联。局部加权散点图平滑(LOWESS)和泊松回归。进行亚组和ROC曲线分析以识别混杂变量并评估预测性能。分别。
结果：共308名患者被纳入研究，年龄中位数为47.0（31.0-62.0）岁，潜伏期中位数为4天。抗生素（n=113，36.7％）是cADR的最常见原因，其次是中草药（n=76，24.7%）。在线性回归分析(P<0.001,r=0.414)和LOWESS回归分析中,PLR值与Tr值呈正相关。Poisson回归分析显示PLR是Tr值较高的独立危险因素(发生率比值为1.016～1.070,P<0.05)。预测Tr<7天的PLR曲线下面积为0.917。
结论：PLR是一个简单方便的参数，作为生物标志物应用于帮助临床医生优化治疗cADR的糖皮质激素治疗的患者具有巨大的前景。
方法：在本研究中分析了使用糖皮质激素治疗的cADRs住院患者，以使用线性评估PLR值与Tr值之间的关联。局部加权散点图平滑(LOWESS)和泊松回归。进行亚组和ROC曲线分析以识别混杂变量并评估预测性能。分别。
结果：共308名患者被纳入研究，年龄中位数为47.0（31.0-62.0）岁，潜伏期中位数为4天。抗生素（n=113，36.7％）是cADR的最常见原因，其次是中草药（n=76，24.7%）。在线性回归分析(P<0.001,r=0.414)和LOWESS回归分析中,PLR值与Tr值呈正相关。Poisson回归分析显示PLR是Tr值较高的独立危险因素(发生率比值为1.016～1.070,P<0.05)。预测Tr<7天的PLR曲线下面积为0.917。
结论：PLR是一个简单方便的参数，作为生物标志物应用于帮助临床医生优化治疗cADR的糖皮质激素治疗的患者具有巨大的前景。
