跳至主要内容
临床试验/NCT04930926
NCT04930926Unknown不适用

New Morphological Parameters of the Leukocyte (PCDs) as Prognostic Markers in Community Acquired Pneumonia (CAP)

Hospital Galdakao-Usansolo1 个研究点 分布在 1 个国家目标入组 1,200 人开始时间: 2019年11月1日最近更新:
适应症

试验速览

阶段
不适用
发起方
入组人数
1,200
试验地点
1
主要终点
ETIOLOGY

研究概览

简要总结

An innovative multicenter project that aims to study the evolution and predictive value of new leukocyte morphological parameters (CPD) in patients with community-acquired pneumonia. Our project has 3 objectives: 1.- To demonstrate that the use of some leukocyte morphology parameters at the time of diagnosis, and their changes in the first 72 hours, can help us to better identify the severity and prognosis of these patients and to discriminate between bacterial etiology of viral. 2.- Make a comparison with other more studied inflammation and cardiovascular biomarkers such as C-reactive protein, pro-calcitonin and pro-adrenomedullin. 3.- Incorporate some of these CPDs parameters to a new prediction rule with greater sensitivity and specificity than those existing up to now (PSI, CURB-65, SCAP, ATS / IDSA).

Methodology: The study will be carried out in 3 hospitals (Galdakao-Usánsolo, Basurto and San Pedro de Logroño). Prospective observational study with longitudinal follow-up up to 30 days after the diagnosis of admitted patients with CAP. Patients will be included consecutively for 24 months; Sociodemographic variables, duration of symptoms, previous antibiotic therapy, severity of presentation, etiological diagnosis, treatment administered and evolution during hospital stay and up to 30 days will be analyzed. As dependent variables of severe CAP we will use, on the one hand, poor evolution (therapeutic failure, and / or need for admission to high-monitoring units such as ICU or Intermediate Respiratory Care Unit (ICU) and / or 30-day mortality) and, for another, a microbiological etiological diagnosis. For statistical processing, univariate and multivariate analyzes and logistic regression models will be used to create a predictive rule.

详细描述

Community-acquired pneumonia (CAP) has a high incidence of 2-8 cases per 1000 inhabitants per year and a mortality rate of around 5%. Mortality in admitted patients is10-25%, and is much higher in those requiring admission to intensive care (ICU). Most patients hospitalized for CAP respond satisfactorily to treatment, but 10-15% experience therapeutic failure and 6% may develop a rapid and progressive deterioration that can be life-threatening. Mortality from CAP occurs mainly in patients with therapeutic failure. The prognostic factors of mortality have been related to the germ-host binomial. Despite the emergence of antibiotic resistance, there are studies that show that mortality is more associated with patient-dependent factors than with germ resistance. For the management of CAP, it is essential to improve the microbiological diagnosis and the assessment of its severity, which will allow the choice of antimicrobial agents, establish the need for hospital admission, monitoring and care during admission, the appropriate time for hospital discharge, as well as post-discharge management. Determining the etiologic agent of CAP remains problematic, due to failure to detect the microorganism with the usual diagnostic methods. To establish the severity of CAP, severity scales have been created that allow predicting the patient's evolution. The best known are: PSI, CURB-65, SCAP score, and ATS / IDSA. The objectives of stratifying patients with CAP are multiple: defining which patients can be managed out-of-hospital, establishing the patients who require greater monitoring in intermediate respiratory care units (ICUs) or ICUs, establishing severity models to select patients for whom perform new diagnostic tests or therapeutic trials. The prognostic scales measure the physiological effect of the infection on the host but not the inflammatory response mechanisms against the microorganism.

A better understanding of the early inflammatory response may have clinical significance determined by greater therapeutic efficacy in patients with more severe CAP. Microbial invasion of lung tissue causes an inflammatory response aimed at limiting the progression of the infection and destroying the microorganism. The objective of this response is to facilitate the arrival of leukocytes and other inflammatory biomarkers to exercise their defense function. Among the biomarkers we can highlight C-reactive Protein (CRP), studied for the diagnosis and monitoring of inflammatory processes, and with which a certain relationship has been established with the severity of CAP. PCT, referred to as a sensitive marker of severity in bacterial infection and sepsis, and as a guide to adjust antibiotic treatment in patients with CAP. Pro-adrenomodulin (ProADM) has been associated with a prognostic marker in patients with sepsis and as a useful marker in the risk stratification of patients with CAP. Plasma levels of inflammatory mediators appear to correlate with the severity of sepsis or pneumonia.

The correct diagnosis of infections by the clinic, biochemical and microbiological markers can be expensive and time consuming. It is important to look for new and low-cost alternatives to evaluate this condition, with the aim of making an early and timely diagnosis and evaluation and instituting the best therapeutic strategy and follow-up. Among these new alternatives, the "Cellular Popular Data" (CPD) stand out, which are morphological parameters of different types of leukocytes. The CPDs of the XN analyzers (Sysmex Corporation, Kobe, Japan) report quantitative information on the morphological and functional characteristics of leukocytes. They are morphological parameters that characterize neutrophils, lymphocytes, and monocytes and classify them according to their volume, shape, granularity, and their nucleic acid content. The composition of activated cell membranes is different from that of resting cells, due to the expression of receptors and signaling molecules on their surface, in response to activation. This membrane is more sensitive to analyzer reagents, and more fluorescent dye can penetrate the activated cell, and bind to the cytoplasmic organelles and nucleic acids. The optical signals are different, which makes it possible to distinguish the morphological changes produced and that are directly related to the functionality of the cell. Activated neutrophils and monocytes are characterized by increased "deformability", mobility, and their ability to adhere, granulate, and release cytokines.

The CPD values reflect the morphological and functional transformation of these activated cells, offering very valuable information on the state of the cell and the patient at the time of obtaining the sample. Recent studies have shown that these parameters are valuable for the detection and control of infections and inflammation. Neutrophil structural parameters NE-SSC, (NEUT GI granularity index) and NE-SFL (NEUT RI reactivity index) could predict the appearance of later-stage infection markers, such as the presence of immature granulocytes, suggesting that they can be used to detect bacterial infections very early. It has been shown to be useful in acute bacterial infection, particularly in the differentiation of bacterial infection and early detection of sepsis. The mean volume of the neutrophil and its variability are more sensitive indicators of bacteremia than the leukocyte count and the percentage of neutrophils. Neutrophils in sepsis are larger and their volumes more heterogeneous than in the healthy population; the same happens to monocytes, larger and more heterogeneous than in localized infections, and in the ROC analysis they had the highest sensitivity for detection of sepsis. Lymphocyte CPDs show specific changes in viral infection, providing potential for differential diagnosis between viral and bacterial infection. Together, the CPDs support the differentiation between viral and bacterial infections, or between acute or evolving infections, and if there is an inflammatory condition without infection, with better diagnostic performance, especially in postsurgical bacterial infection, than the conventional parameters.

The available literature has focused on the potential usefulness of CPD in diagnosis, but we do not have data on prognostic value or its applicability to pneumonia. The classical inflammatory biomarkers are expensive and often not accessible in clinical practice, while the evaluation of new leukocyte markers through hematimetry analysis, cheaper and more accessible in clinical practice, can help to monitor the inflammatory response and recognize to patients who may have poor evolution. No study, to date, has related all these parameters (CPDs) together with the severe evolution of pneumonia or mortality, nor have clear cut-off points been established for each of them. We propose an observational study, in which these markers are related to the severity and prognosis of CAP, and a comparison between them, in addition to incorporating these biomarkers into the prognostic rules currently in use and seeing how their predictive capacity is modified.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • PNEUMONIA PATIENTS SARHS COVID 19 PATIENTS

排除标准

  • LESS THAN 18 YEARS OLD IMMUNE DEPRESSED PATIENTS

结局指标

主要结局

ETIOLOGY

时间窗: INDEX ADMISSION TO 30 DAYS

THE ETIOLOGY OF PATIENTS TO WATCH THE EVOLUTION

次要结局

  • MORTALITY(ONE YEAR)

研究者

发起方
Hospital Galdakao-Usansolo
申办方类型
Other Gov
责任方
Principal Investigator
主要研究者

JOSE M QUINTANA-LOPEZ, MD PhD

HEAD OF EPIDEMIOLOGY SERVICE

Hospital Galdakao-Usansolo

研究点 (1)

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