MDS-Specific Comorbidity Index (MDS-CI) Identifies Overall Survival Differences in Myelodysplastic Syndrome Patients,

医学 内科学 共病 糖尿病 骨髓增生异常综合症 人口 骨髓 环境卫生 内分泌学
作者
Massimo Breccia,Vincenzo Federico,Giuseppina Loglisci,Roberto Latagliata,Michelina Santopietro,Adriano Salaroli,Alessandra Serrao,Gioia Colafigli,Agostino Tafuri,Giuliana Alimena
出处
期刊:Blood [American Society of Hematology]
卷期号:118 (21): 3793-3793 被引量:1
标识
DOI:10.1182/blood.v118.21.3793.3793
摘要

Abstract Abstract 3793 MDS-specific comorbidity index (MDS-CI) is a score reported by the Pavia group for myelodysplastic syndromes (MDS) patients. This score is a time-dependent index developed for predicting the effect of comorbidities on outcome of these subjects. We applied this score on a total of 450 MDS patients: comorbidities were recorded at the time of diagnosis and considered by medical staff for the analysis. All patients were consecutively diagnosed and followed at our institute in a period between January 1992 and December 2006. Statistical analysis was carried out using SPSS software; survival was defined as time from diagnosis to last contact or death for any cause. Median age of the whole population was 69 years (range 21–88), with a prevalence of male sex (ratio m/f 1.6). Overall, we found the presence of one or more comorbidities in 94% of the examined patients. The most common comorbidities were cardiac disorders observed in 40% of patients, followed by diabetes with organ damage recorded in 22 cases. Application of MDS-CI score identified 300 patients with score 0, 55 patients with score 1, 80 patients with score 2 and 15 patients with score >2. We found significant differences in OS according to MDS-CI stratification: from 38 months for low risk patients (score 0) to 22 months for high-risk patients (score >2, p=0.02). We then evaluated the prognostic effect of MDS-CI on patients stratified according to WPSS prognostic index. WPSS application was possible in 330 of 450 patients who entered the analysis (73%), due to cytogenetic availability of data: we identified 112 patients (34%) with very low/low risk, 137 patients (41.5%) with intermediate risk and 81 patients (24.5%) with high/very high risk. As reported by the Pavia group, we assessed prognostic relevance of comorbidities in very low/low risk WPSS patients, intermediate and high/very high-risk patients. We found in the first category a significant difference in OS stratification: from 48.5 months for patients with score 0 to 20.4 months for patients with score >2 (p=0.002). In WPSS intermediate risk we found similar significant OS difference: from 32.3 months for patients with score 0 to 18.3 months for patients with score 2 (p=0.001). Conversely, we did not find significant differences in WPSS high/very high-risk patients. We also found significant correlations between presence of comorbidities at baseline, as stratified with MDS-CI, and risk of non-leukemic death: from 22% in patients without comorbidities to 75% in patients with score >2 according to MDS-CI (p=0.002). Our analysis showed the efficacy of MDS-CI on a large series of MDS consecutively seen, diagnosed and followed in a single center while strengthening the results reported by the Pavia group: in fact, the value of comorbidities was confirmed in a cohort of patients similar to that observed in the original paper, in terms of median age (69 years in our series vs 66 years in the Pavia series), but with higher percentage of patients with intermediate WPSS risk (41.5% in our series vs 18% in the Pavia population). MDS-CI is a very valid tool capable to differentiate MDS patients with very low/low and intermediate WPSS risk in terms of OS and non-leukemic death risk. Disclosures: Alimena: Novartis: Honoraria; Bristol Myers Squibb: Honoraria.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
jingjing完成签到,获得积分10
刚刚
量子星尘发布了新的文献求助10
刚刚
风中的向卉完成签到 ,获得积分10
1秒前
呆萌的蚂蚁完成签到 ,获得积分10
2秒前
yangching完成签到,获得积分0
2秒前
幸福妙柏完成签到 ,获得积分10
4秒前
子焱完成签到 ,获得积分10
6秒前
多边形完成签到 ,获得积分10
11秒前
天真的宝马完成签到 ,获得积分10
11秒前
超级的冷菱完成签到 ,获得积分10
13秒前
111完成签到 ,获得积分10
14秒前
笨笨青筠完成签到 ,获得积分10
19秒前
闪闪芯完成签到 ,获得积分10
20秒前
负责灵萱完成签到 ,获得积分10
20秒前
量子星尘发布了新的文献求助10
20秒前
haochi发布了新的文献求助10
21秒前
次一口多多完成签到,获得积分10
24秒前
24秒前
害羞的雁易完成签到 ,获得积分10
27秒前
hnxxangel发布了新的文献求助10
27秒前
Shuhe_Gong完成签到 ,获得积分10
28秒前
liupangzi完成签到,获得积分10
31秒前
奋斗诗云完成签到 ,获得积分10
31秒前
吴谦完成签到 ,获得积分10
32秒前
瘦瘦的果汁完成签到,获得积分10
33秒前
lan完成签到,获得积分10
36秒前
耍酷的指甲油完成签到 ,获得积分10
38秒前
缓慢的甜瓜完成签到,获得积分10
38秒前
dajiejie完成签到 ,获得积分10
38秒前
震动的鹏飞完成签到 ,获得积分10
38秒前
lsbrc完成签到 ,获得积分10
42秒前
lmq完成签到 ,获得积分10
42秒前
xiangqing完成签到 ,获得积分10
42秒前
44秒前
haochi完成签到,获得积分10
46秒前
47秒前
111完成签到 ,获得积分10
49秒前
QAQSS完成签到 ,获得积分10
49秒前
希音完成签到 ,获得积分10
52秒前
gnil完成签到,获得积分10
53秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6059115
求助须知:如何正确求助?哪些是违规求助? 7891652
关于积分的说明 16297117
捐赠科研通 5203346
什么是DOI,文献DOI怎么找? 2783941
邀请新用户注册赠送积分活动 1766619
关于科研通互助平台的介绍 1647154