Lu Xinyi, Liu Wenhua, Zhang Lan, Chen Xinyue, Yang Liping, Yao Qiong, Zhao Jie, He Shaolong, Wei Jia, Tian Weiwei
Department of Hematology, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences Tongji Shanxi Hospital, Taiyuan, Shanxi, China.
Department of Hematology, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China.
Front Microbiol. 2023 Jan 27;14:1114972. doi: 10.3389/fmicb.2023.1114972. eCollection 2023.
This research explored the clinical application of grade ≥ 3 infection predictive models for the newly diagnosed multiple myeloma (NDMM) population.
It evaluated 306 patients with NDMM based on three different predictive models. The relationship between the grade ≥ 3 infection rates in NDMM and the scores was analyzed retrospectively. The cumulative incidence of early grade ≥ 3 infection was estimated using the Kaplan-Meier method and log-rank test to assess the statistical significance of the difference. To compare the predictive performance in the prediction of infection, the Receiver Operating Characteristic Curve (ROC) curve was used to show the area under the curve (AUC), and DeLong's test was used to analyze the difference in AUC.
The incidence of grade ≥ 3 infection within the first 4 months of NDMM was 40.20%. Concerning the FIRST score (predictors: ECOG, β2-microglobulin, hemoglobin, and lactate dehydrogenase), GEM-PETHEMA score (predictors: albumin, male sex, ECOG, and non-IgA type MM), and Infection Risk model of Multiple Myeloma (IRMM) score (predictors: ECOG, serum β2-microglobulin, globulin, and hemoglobin), the probability of early grade ≥ 3 infection in the different groups showed statistically significant differences (low-risk vs. high-risk: 25.81% vs. 50.00%, < 0.001; low-risk vs. moderate-risk vs. high-risk: 35.93% vs. 41.28% vs. 60.00%, = 0.045; low-risk vs. moderate-risk vs. high-risk: 20.00% vs. 43.75% vs. 52.04%, < 0.001). Statistical differences existed in the probability of early grade ≥ 3 infection among the different groups by the FIRST and IRMM scores but no statistical differences in the GEM-PETHEMA score ( < 0.001, < 0.001, and = 0.090, respectively). The FIRST score showed good discrimination and simple calculation with highest AUC. Further subgroup analysis showed that the FIRST score could still apply for patients treated with bortezomib-based regimen and frail patients.
Our findings indicate that the FIRST score (consisting of ECOG, β2-microglobulin, hemoglobin, and lactate dehydrogenase) is a simple and robust infection stratification tool for patients with NDMM and could be used in routine clinical work.
本研究探讨了≥3级感染预测模型在新诊断的多发性骨髓瘤(NDMM)人群中的临床应用。
基于三种不同的预测模型对306例NDMM患者进行评估。回顾性分析NDMM患者中≥3级感染率与评分之间的关系。采用Kaplan-Meier法和对数秩检验估计早期≥3级感染的累积发病率,以评估差异的统计学意义。为比较感染预测中的预测性能,采用受试者工作特征曲线(ROC)曲线显示曲线下面积(AUC),并使用DeLong检验分析AUC的差异。
NDMM患者前4个月内≥3级感染的发生率为40.20%。关于FIRST评分(预测指标:美国东部肿瘤协作组体能状态评分、β2-微球蛋白、血红蛋白和乳酸脱氢酶)、GEM-PETHEMA评分(预测指标:白蛋白、男性、美国东部肿瘤协作组体能状态评分和非IgA型多发性骨髓瘤)以及多发性骨髓瘤感染风险模型(IRMM)评分(预测指标:美国东部肿瘤协作组体能状态评分、血清β2-微球蛋白、球蛋白和血红蛋白),不同组中早期≥3级感染的概率显示出统计学显著差异(低风险组与高风险组:25.81%对50.00%,P<0.001;低风险组对中度风险组对高风险组:35.93%对41.28%对60.00%,P = 0.045;低风险组对中度风险组对高风险组:20.00%对43.75%对52.04%,P<0.001)。根据FIRST评分和IRMM评分,不同组之间早期≥3级感染的概率存在统计学差异,但GEM-PETHEMA评分无统计学差异(分别为P<0.001、P<0.001和P = 0.090)。FIRST评分显示出良好的辨别能力且计算简单,AUC最高。进一步的亚组分析表明,FIRST评分仍适用于接受硼替佐米方案治疗的患者和体弱患者。
我们的研究结果表明,FIRST评分(由美国东部肿瘤协作组体能状态评分、β2-微球蛋白、血红蛋白和乳酸脱氢酶组成)是一种简单且可靠的NDMM患者感染分层工具,可用于日常临床工作。