Fenotipos clínicos

Fenotipos cl í nicos
  • 文章类型: Observational Study
    目的:确定使用糖皮质激素是否与整个人群和预先指定的临床表型的重症监护病房(ICU)死亡率相关。
    方法:来自多中心的二级分析,观察性研究。
    方法:重症监护病房。
    方法:西班牙63个ICU收治的确诊为COVID-19疾病的成人危重患者。
    方法:皮质类固醇与没有皮质类固醇.
    方法:通过非监督聚类分析从整个人群中得出三种表型,并分类为(A:严重,B:危重C:危及生命)。我们对整个人群进行了倾向最佳完全匹配(PS)和加权Cox回归(HR)和精细灰色分析(sHR)后的多变量分析,以根据整个人群和独特的患者临床表型评估皮质类固醇对ICU死亡率的影响。
    结果:共对2017年患者进行分析,1171(58%)用皮质类固醇。PS之后,研究显示皮质类固醇与ICU死亡率无相关性(OR:1.0;95%CI:0.98~1.15).298/537例(55.5%)“A”表型患者使用皮质类固醇,其使用与ICU死亡率无关(HR=0.85[0.55-1.33])。共有338/623例(54.2%)“B”表型患者接受皮质类固醇治疗。当进行HR时,未观察到皮质类固醇对ICU死亡率的影响(0.72[0.49-1.05])。最后,535/857(62.4%)“C”表型患者接受皮质类固醇治疗。在该表型中,HR(0.75[0.58-0.98])和sHR(0.79[0.63-0.98])提示皮质类固醇对ICU死亡率具有保护作用。
    结论:我们的发现警告所有中度剂量COVID-19的危重患者广泛使用皮质类固醇。只有炎症水平最高的患者才能从类固醇治疗中受益。
    To determine if the use of corticosteroids was associated with Intensive Care Unit (ICU) mortality among whole population and pre-specified clinical phenotypes.
    A secondary analysis derived from multicenter, observational study.
    Critical Care Units.
    Adult critically ill patients with confirmed COVID-19 disease admitted to 63 ICUs in Spain.
    Corticosteroids vs. no corticosteroids.
    Three phenotypes were derived by non-supervised clustering analysis from whole population and classified as (A: severe, B: critical and C: life-threatening). We performed a multivariate analysis after propensity optimal full matching (PS) for whole population and weighted Cox regression (HR) and Fine-Gray analysis (sHR) to assess the impact of corticosteroids on ICU mortality according to the whole population and distinctive patient clinical phenotypes.
    A total of 2017 patients were analyzed, 1171 (58%) with corticosteroids. After PS, corticosteroids were shown not to be associated with ICU mortality (OR: 1.0; 95% CI: 0.98-1.15). Corticosteroids were administered in 298/537 (55.5%) patients of \"A\" phenotype and their use was not associated with ICU mortality (HR=0.85 [0.55-1.33]). A total of 338/623 (54.2%) patients in \"B\" phenotype received corticosteroids. No effect of corticosteroids on ICU mortality was observed when HR was performed (0.72 [0.49-1.05]). Finally, 535/857 (62.4%) patients in \"C\" phenotype received corticosteroids. In this phenotype HR (0.75 [0.58-0.98]) and sHR (0.79 [0.63-0.98]) suggest a protective effect of corticosteroids on ICU mortality.
    Our finding warns against the widespread use of corticosteroids in all critically ill patients with COVID-19 at moderate dose. Only patients with the highest inflammatory levels could benefit from steroid treatment.
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  • 文章类型: Journal Article
    目的:在基于临床表型的COPD管理策略中,最好至少将所有患者分配给一种表型,但只有一个表型。这项研究的目的是使用西班牙COPD指南(GesEPOC)2017评估所有患者是否被分配到一种且仅一种表型,并评估定义这些类别的标准。
    方法:基于时间的COPD终点注册和分析研究(TRACE;clinicaltrials.govNCT03485690)是自2012年以来每年就诊的COPD患者的前瞻性队列,该队列收集了GesEPOC表型。虽然GesEPOC建议被认为是低风险的患者不进行表型分析,对确定高风险和低风险表型的标准进行了分析,比较这两组之间的表型分布和应用标准。
    结果:该队列包括970名确诊为COPD的患者,分为427例(44.02%)低危患者和543例(55.9%)高危患者。最常见的表型是非加重患者(高危患者占44.9%)。总的来说,20.6%的低危患者符合哮喘-COPD重叠综合征标准,虽然9.2%的队列不符合任何表型的诊断标准,19.1%符合2种表型的标准,风险组之间没有差异。
    结论:我们的数据突出了当前临床表型策略的一些弱点,在某些情况下揭示重叠的类别,和未分配表型的患者。
    OBJECTIVE: In a clinical phenotype-based management strategy for COPD, it would be preferable to at least assign all patients to a phenotype, but to a single phenotype only. The aim of this study was to evaluate whether all patients are assigned to one and only one phenotype using the Spanish COPD guidelines (GesEPOC) 2017 and to evaluate the criteria that define these categories.
    METHODS: The Time-based Register and Analysis of COPD Endpoints study (TRACE; clinicaltrials.gov NCT03485690) is a prospective cohort of COPD patients attending annual visits since 2012, which collects GesEPOC phenotypes. Although the GesEPOC recommends that patients considered to be at low risk are not phenotyped, an analysis of the criteria for identifying high- and low-risk phenotypes was performed, comparing the distribution of phenotypes and the criteria applied between these 2 groups.
    RESULTS: The cohort included 970 patients with a confirmed diagnosis of COPD, divided into 427 (44.02%) low-risk and 543 (55.9%) high-risk patients. The most frequent phenotype was the non-exacerbator (44.9% of high-risk patients). Overall, 20.6% of low-risk patients met criteria for asthma-COPD overlap syndrome, while 9.2% of the cohort did not meet the diagnostic criteria for any phenotype, and 19.1% met the criteria for 2 phenotypes, with no differences between risk groups.
    CONCLUSIONS: Our data highlight some of the weaknesses of the current clinical phenotype strategy, revealing overlapping categories in some cases, and patients to whom no phenotype was assigned.
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  • 文章类型: Journal Article
    OBJECTIVE: In a clinical phenotype-based management strategy for COPD, it would be preferable to at least assign all patients to a phenotype, but to a single phenotype only. The aim of this study was to evaluate whether all patients are assigned to one and only one phenotype using the Spanish COPD guidelines (GesEPOC) and to evaluate the criteria that define these categories.
    METHODS: The Time-based Register and Analysis of COPD Endpoints study (TRACE; clinicaltrials.gov NCT03485690) is a prospective cohort of COPD patients attending annual visits since 2012, which collects GesEPOC phenotypes. Although the GesEPOC recommends that patients considered to be at low risk are not phenotyped, an analysis of the criteria for identifying high- and low-risk phenotypes was performed, comparing the distribution of phenotypes and the criteria applied between these 2 groups.
    RESULTS: The cohort included 970 patients with a confirmed diagnosis of COPD, divided into 427 (44.02%) low-risk and 543 (55.9%) high-risk patients. The most frequent phenotype was the non-exacerbator (44.9% of high-risk patients). Overall, 20.6% of low-risk patients met criteria for asthma-COPD overlap syndrome, while 9.2% of the cohort did not meet the diagnostic criteria for any phenotype, and 19.1% met the criteria for 2 phenotypes, with no differences between risk groups.
    CONCLUSIONS: Our data highlight some of the weaknesses of the current clinical phenotype strategy, revealing overlapping categories in some cases, and patients to whom no phenotype was assigned.
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