[Home Respiratory Therapies: SEPAR Technical Document for Institutional Decision Support]. / Terapias respiratorias domiciliarias: documento técnico de la Sociedad Española de Neumología y Cirugía Torácica (SEPAR) de apoyo institucional a la toma de decisiones.

Home Respiratory Therapies (HRT) encompass a variety of treatments for patients with chronic respiratory diseases, administered at home over extended periods. The Service Providers of HRT (SPHRT) collaborate with hospital resources to address chronic respiratory diseases, acting as strategic partners. The contracting of HRT in the public health system involves contests where the SPHRT present technical and economic offers. The purpose of this document is to provide a technical basis that can assist professionals, SPHRT, and the administration in making decisions when calling for, evaluating, and deciding on such contests.

Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models.

COVID-19 is a global threat for the healthcare systems due to the rapid spread of the pathogen that causes it. In such situation, the clinicians must take important decisions, in an environment where medical resources can be insufficient. In this task, the computer-aided diagnosis systems can be very useful not only in the task of supporting the clinical decisions but also to perform relevant analyses, allowing them to understand better the disease and the factors that can identify the high risk patients. For those purposes, in this work, we use several machine learning algorithms to estimate the outcome of COVID-19 patients given their clinical information. Particularly, we perform 2 different studies: the first one estimates whether the patient is at low or at high risk of death whereas the second estimates if the patient needs hospitalization or not. The results of the analyses of this work show the most relevant features for each studied scenario, as well as the classification performance of the considered machine learning models. In particular, the XGBoost algorithm is able to estimate the need for hospitalization of a patient with an AUC-ROC of 0 . 8415 ± 0 . 0217 while it can also estimate the risk of death with an AUC-ROC of 0 . 7992 ± 0 . 0104 . Results have demonstrated the great potential of the proposal to determine those patients that need a greater amount of medical resources for being at a higher risk. This provides the healthcare services with a tool to better manage their resources.

Bacterial Patterns and Empiric Antibiotic Use in COPD Patients With Community-Acquired Pneumonia.

INTRODUCTION: Chronic obstructive pulmonary disease (COPD) is strongly associated with the development of community-acquired pneumonia (CAP). Limited data are available on risk factors for difficult to manage bacteria such as Pseudomonas aeruginosa in COPD patients with CAP. Our objective was to assess the microbiological patterns associated with risk factors that determine empiric antibiotic therapy in hospitalized COPD patients with CAP. METHODS: We performed a secondary data analysis of an international, multicenter, observational, point-prevalence study involving hospitalized COPD patients with CAP from March to June 2015. After identifying the risk factors associated with different microorganisms, we developed a scoring system to guide decision-making about empiric anti-pseudomonal antibiotic therapy in this population. RESULTS: We enrolled 689 hospitalized COPD patients with CAP with documented microbiological testing. The most frequent microorganisms isolated were Streptococcus pneumoniae (8%) and Gram-negative bacteria (8%), P. aeruginosa (7%) and Haemophilus influenzae (3%). We developed a scoring system incorporating the variables independently associated with P. aeruginosa that include a previous P. aeruginosa isolation or infection (OR 14.2 [95%CI 5.7-35.2]), hospitalization in the past 12 months (OR 3.7 [1.5-9.2]), and bronchiectasis (OR 3.2 [1.4-7.2]). Empiric anti-pseudomonal antibiotics were overutilized in COPD patients with CAP. The new scoring system has the potential to reduce empiric anti-pseudomonal antibiotic use from 54.1% to 6.2%. CONCLUSIONS: COPD patients with CAP present different microbiological profiles associated with unique risk factors. Anti-pseudomonal treatment is a critical decision when selecting empiric antibiotic therapy. We developed a COPD scoring system to guide decision-making about empiric anti-pseudomonal antibiotic therapy.

Untangling connections between challenges in the adoption of learning analytics in higher education.

Potential benefits of learning analytics (LA) for improving students' performance, predicting students' success, and enhancing teaching and learning practice have increasingly been recognized in higher education. However, the adoption of LA in higher education institutions (HEIs) to date remains sporadic and predominantly small in scale due to several socio-technical challenges. To better understand why HEIs struggle to scale LA adoption, it is needed to untangle adoption challenges and their related factors. This paper presents the findings of a study that sought to investigate the associations of adoption factors with challenges HEIs face in the adoption of LA and how these associations are compared among HEIs at different scopes of adoption. The study was based on a series of semi-structured interviews with senior managers in HEIs. The interview data were thematically analysed to identify the main challenges in LA adoption. The connections between challenges and other factors related to LA adoption were analysed using epistemic network analysis (ENA). From senior managers' viewpoints, ethical issues of informed consent and resistance culture had the strongest links with challenges of learning analytic adoption in HEI; this was especially true for those institutions that had not adopted LA or who were in the initial phase of adoption (i.e., preparing for or partially implementing LA). By contrast, among HEIs that had fully adopted LA, the main challenges were found to be associated with centralized leadership, gaps in the analytic capabilities, external stakeholders, and evaluations of technology. Based on the results, we discuss implications for LA strategy that can be useful for institutions at various stages of LA adoption, from early stages of interest to the full adoption phase.

Assessment of Quantiferon®-CMV and Immuknow® Assays in CMV-seropositive Lung Transplant Recipients to Stratify Risk of CMV Infection

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Impact of a Home Telehealth Program After a Hospitalized COPD Exacerbation: A Propensity Score Analysis

Introduction: Currently there is lack of data regarding the impact of a home telehealth program on readmissions and mortality rate after a COPD exacerbation-related hospitalization. Objective: To demonstrate if a tele-monitoring system after a COPD exacerbation admission could have a favorable effect in 1-year readmissions and mortality in a real-world setting. Methods: This is an observational study where we compared an intervention group of COPD patients treated after hospitalization that conveyed a telehealth program with a followance period of 1 year with a control group of patients evaluated during one year before the intervention began. A propensity-score analyses was developed to control for confounders. The main clinical outcome was 1-year all-cause mortality or COPD-related readmission. Results: The analysis comprised 351 telemonitoring patients and 495 patients in the control group. The intervention resulted in less mortality or readmission after 12 months (35.2% vs. 45.2%; hazard ratio [HR] 0.71 [95% CI=0.56–0.91]; p=0.007). This benefit was maintained after the propensity score analysis (HR=0.66 [95% CI=0.51–0.84]). This benefit, which was seen from the first month of the study and during its whole duration, is maintained when mortality (HR=0.54; 95% CI=[0.36–0.82]) or readmission (subdistribution hazard ratio [SHR] 0.66; 95% CI=[0.50–0.86]) are analyzed separately. Conclusion: Telemonitoring after a severe COPD exacerbation is associated with less mortality or readmissions at 12 months in a real world clinical setting. (AU)

Polymorphisms in ACE, ACE2, AGTR1 genes and severity of COVID-19 disease.

BACKGROUND: Infection by the SARS-Cov-2 virus produces in humans a disease of highly variable and unpredictable severity. The presence of frequent genetic single nucleotide polymorphisms (SNPs) in the population might lead to a greater susceptibility to infection or an exaggerated inflammatory response. SARS-CoV-2 requires the presence of the ACE2 protein to enter in the cell and ACE2 is a regulator of the renin-angiotensin system. Accordingly, we studied the associations between 8 SNPs from AGTR1, ACE2 and ACE genes and the severity of the disease produced by the SARS-Cov-2 virus. METHODS: 318 (aged 59.6±17.3 years, males 62.6%) COVID-19 patients were grouped based on the severity of symptoms: Outpatients (n = 104, 32.7%), hospitalized on the wards (n = 73, 23.0%), Intensive Care Unit (ICU) (n = 84, 26.4%) and deceased (n = 57, 17.9%). Comorbidity data (diabetes, hypertension, obesity, lung disease and cancer) were collected for adjustment. Genotype distribution of 8 selected SNPs among the severity groups was analyzed. RESULTS: Four SNPs in ACE2 were associated with the severity of disease. While rs2074192 andrs1978124showed a protector effectassuming an overdominant model of inheritance (G/A vs. GG-AA, OR = 0.32, 95%CI = 0.12-0.82; p = 0.016 and A/G vs. AA-GG, OR = 0.37, 95%CI: 0.14-0.96; p = 0.038, respectively); the SNPs rs2106809 and rs2285666were associated with an increased risk of being hospitalized and a severity course of the disease with recessive models of inheritance (C/C vs. T/C-T/T, OR = 11.41, 95% CI: 1.12-115.91; p = 0.012) and (A/A vs. GG-G/A, OR = 12.61, 95% CI: 1.26-125.87; p = 0.0081). As expected, an older age (OR = 1.47), male gender (OR = 1.98) and comorbidities (OR = 2.52) increased the risk of being admitted to ICU or death vs more benign outpatient course. Multivariable analysis demonstrated the role of the certain genotypes (ACE2) with the severity of COVID-19 (OR: 0.31, OR 0.37 for rs2074192 and rs1978124, and OR = 2.67, OR = 2.70 for rs2106809 and rs2285666, respectively). Hardy-Weinberg equilibrium in hospitalized group for I/D SNP in ACE was not showed (p<0.05), which might be due to the association with the disease. No association between COVID-19 disease and the different AGTR1 SNPs was evidenced on multivariable, nevertheless the A/A genotype for rs5183 showed an higher hospitalization risk in patients with comorbidities. CONCLUSIONS: Different genetic variants in ACE2 were associated with a severe clinical course and death groups of patients with COVID-19. ACE2 common SNPs in the population might modulate severity of COVID-19 infection independently of other known markers like gender, age and comorbidities.

Short-term survival of patients with advanced pancreatic cancer admitted to intensive care unit: a retrospective cohort study.

Background: Little is known about the outcomes of patients with advanced pancreatic cancer admitted to the intensive care unit (ICU) due to medical complications. We designed a study to evaluate their short-term (30-day) survival, predictors of short-term survival and chances of additional chemotherapy. Methods: We reviewed all patients with advanced (stage III or IV) pancreatic adenocarcinoma admitted to an ICU in a dedicated Brazilian cancer centre from 2009 to 2018 due to medical reasons. We fitted multivariate regression models to identify predictors of 30-day survival and additional systemic chemotherapy. Results: The study population consisted of 171 patients. Ninety-four patients (55.0%) had Eastern Cooperative Oncology Group (ECOG) performance status 2-4 and 146 (85.4%) had metastatic disease. Most patients (N = 75; 43.9%) were admitted to the ICU during first-line treatment. Median overall survival was 32 days (95% confidence interval (95% CI): 20-49). Survival rate at 30 days was 50.6%. ECOG performance status 2-4 was the only variable associated with lower probability of survival at 30 days in multivariate analysis (odds ratio: 0.28; 95% CI: 0.14-0.54; p < 0.001). Overall, 58 patients (33.9%) received additional chemotherapy and among all patients, 13.5% experienced clinical benefit from this treatment. Conclusion: Patients with advanced pancreatic cancer admitted to the ICU for medical reasons have a dismal prognosis. Early palliative care and refined tools to establish those who would benefit from an ICU trial could help improve patients' care.

Impact of a Home Telehealth Program After a Hospitalized COPD Exacerbation: A Propensity Score Analysis.

INTRODUCTION: Currently there is lack of data regarding the impact of a home telehealth program on readmissions and mortality rate after a COPD exacerbation-related hospitalization. OBJECTIVE: To demonstrate if a tele-monitoring system after a COPD exacerbation admission could have a favorable effect in 1-year readmissions and mortality in a real-world setting. METHODS: This is an observational study where we compared an intervention group of COPD patients treated after hospitalization that conveyed a telehealth program with a followance period of 1 year with a control group of patients evaluated during one year before the intervention began. A propensity-score analyses was developed to control for confounders. The main clinical outcome was 1-year all-cause mortality or COPD-related readmission. RESULTS: The analysis comprised 351 telemonitoring patients and 495 patients in the control group. The intervention resulted in less mortality or readmission after 12 months (35.2% vs. 45.2%; hazard ratio [HR] 0.71 [95% CI=0.56-0.91]; p=0.007). This benefit was maintained after the propensity score analysis (HR=0.66 [95% CI=0.51-0.84]). This benefit, which was seen from the first month of the study and during its whole duration, is maintained when mortality (HR=0.54; 95% CI=[0.36-0.82]) or readmission (subdistribution hazard ratio [SHR] 0.66; 95% CI=[0.50-0.86]) are analyzed separately. CONCLUSION: Telemonitoring after a severe COPD exacerbation is associated with less mortality or readmissions at 12 months in a real world clinical setting.

Predictive Value of Immune Cell Functional Assay for Non-Cytomegalovirus Infection in Lung Transplant Recipients: A Multicenter Prospective Observational Study / Valor predictivo del test de función de la inmunidad celular para infecciones distintas a CMV en receptores de un trasplante pulmonar: un estudio multicéntrico, prospectivo y observacional

Introduction: Immune cell functional assay (ImmuKnow®) is a non-invasive method that measures the state of cellular immunity in immunosuppressed patients. We studied the prognostic value of the assay for predicting non-cytomegalovirus (CMV) infections in lung transplant recipients. Methods: A multicenter prospective observational study of 92 patients followed up from 6 to 12 months after transplantation was performed. Immune cell functional assay was carried out at 6, 8, 10, and 12 months. Results: Twenty-three patients (25%) developed 29 non-CMV infections between 6 and 12 months post-transplant. At 6 months, the immune response was moderate (ATP 225–525ng/mL) in 14 (15.2%) patients and low (ATP<225ng/mL) in 78 (84.8%); no patients had a strong response (ATP≥525ng/mL). Only 1 of 14 (7.1%) patients with a moderate response developed non-CMV infection in the following 6 months compared with 22 of 78 (28.2%) patients with low response, indicating sensitivity of 95.7%, specificity of 18.8%, positive predictive value (PPV) of 28.2%, and negative predictive value (NPV) of 92.9% (AUC 0.64; p=0.043). Similar acute rejection rates were recorded in patients with mean ATP≥225 vs. <225ng/mL during the study period (7.1% vs. 9.1%, p=0.81). Conclusion: Although ImmuKnow® does not seem useful to predict non-CMV infection, it could identify patients with a very low risk and help us define a target for an optimal immunosuppression. (AU)

Introducción: El test de función de la inmunidad celular (ImmuKnow®) es un método que mide el estado de la inmunidad celular en pacientes inmunosuprimidos. Se estudió su valor pronóstico para predecir infecciones diferentes a citomegalovirus (CMV) en receptores de un trasplante pulmonar. Métodos: Se realizó un estudio observacional prospectivo multicéntrico de 92 pacientes seguidos desde los 6 a los 12 meses postrasplante. El test se realizó a los 6, 8, 10 y 12 meses. Resultados: Veintitrés pacientes (25%) desarrollaron 29 infecciones no debidas a CMV entre los 6 y los 12 meses posteriores al trasplante. A los 6 meses, la respuesta inmune fue moderada (ATP 225-525ng/ml) en 14 (15,2%) pacientes y baja (ATP<225ng/ml) en 78 (84,8%); ningún paciente tuvo una respuesta fuerte (ATP>525ng/ml). Solo uno de 14 (7,1%) pacientes con una respuesta moderada desarrolló una infección diferente a CMV en los 6 meses siguientes a la realización del test en comparación con 22 de 78 (28,2%) con respuesta baja, indicando una sensibilidad del 95,7%, una especificidad del 18,8%, un valor predictivo positivo del 28,2% y un valor predictivo negativo del 92,9% (AUC 0,64; p=0,043). Se registraron tasas de rechazo agudo similares en pacientes con ATP medio >225 frente a <225ng/ml durante el período de estudio (7,1 frente al 9,1%; p=0,81). Conclusión: Aunque el test ImmuKnow® no parece útil para predecir infecciones diferentes al CMV, podría identificar pacientes con riesgo muy bajo y ayudarnos a definir un objetivo de inmunosupresión óptima. (AU)

One Year of the COVID-19 Pandemic in Galicia: A Global View of Age-Group Statistics during Three Waves.

In this work we look at the past in order to analyze four key variables after one year of the COVID-19 pandemic in Galicia (NW Spain): new infected, hospital admissions, intensive care unit admissions and deceased. The analysis is presented by age group, comparing at each stage the percentage of the corresponding group with its representation in the society. The time period analyzed covers 1 March 2020 to 1 April 2021, and includes the influence of the B.1.1.7 lineage of COVID-19 which in April 2021 was behind 90% of new cases in Galicia. It is numerically shown how the pandemic affects the age groups 80+, 70+ and 60+, and therefore we give information about how the vaccination process could be scheduled and hints at why the pandemic had different effects in different territories.

COVID-19 pneumonia in Galicia (Spain): Impact of prognostic factors and therapies on mortality and need for mechanical ventilation.

INTRODUCTION: This study was aimed to identify risk factors associated with unfavorable outcomes (composite outcome variable: mortality and need for mechanical ventilation) in patients hospitalized in Galicia with COVID-19 pneumonia. METHODS: Retrospective, multicenter, observational study carried out in the 8 Galician tertiary hospitals. All Patients admitted with confirmed COVID-19 pneumonia from 1st of March to April 24th, 2020 were included. A multivariable logistic regression analysis was performed in order to identify the relationship between risk factors, therapeutic interventions and the composite outcome variable. RESULTS: A total of 1292 patients (56.1% male) were included. Two hundred and twenty-five (17.4%) died and 327 (25.3%) reached the main outcome variable. Age [odds ratio (OR) = 1.03 (95% confidence interval (CI): 1.01-1.04)], CRP quartiles 3 and 4 [OR = 2.24 (95% CI: 1.39-3.63)] and [OR = 3.04 (95% CI: 1.88-4.92)], respectively, Charlson index [OR = 1.16 (95%CI: 1.06-1.26)], SaO2 upon admission [OR = 0.93 (95% CI: 0.91-0.95)], hydroxychloroquine prescription [OR = 0.22 (95%CI: 0.12-0.37)], systemic corticosteroids prescription [OR = 1.99 (95%CI: 1.45-2.75)], and tocilizumab prescription [OR = 3.39 (95%CI: 2.15-5.36)], significantly impacted the outcome. Sensitivity analysis using different alternative logistic regression models identified consistently the ratio admissions/hospital beds as a predictor of the outcome [OR = 1.06 (95% CI: 1.02-1.11)]. CONCLUSION: These findings may help to identify patients at hospital admission with a higher risk of death and may urge healthcare authorities to implement policies aimed at reducing deaths by increasing the availability of hospital beds.

Immunotherapy as Single Treatment for Patients With NSCLC With Brain Metastases: A Systematic Review and Meta-Analysis-the META-L-BRAIN Study.

INTRODUCTION: Brain metastases (BMs) occur in 40% of patients with lung cancer. The activity of immunotherapy in these patients, however, remains controversial, as the cornerstone treatment is radiotherapy (RT). Because RT is associated with adverse events that may impair the quality of life, the possibility of substituting it with a single systemic approach is attractive. Therefore, we performed a systematic review and meta-analysis to evaluate the potential benefit of immune checkpoint inhibitors (ICIs) in patients with NSCLC with untreated BM (unBM). METHODS: Studies that enrolled patients with NSCLC treated with ICIs and specifically allowed for unBM were identified by searching the EMBASE, PubMed, Cochrane, and other databases. The outcomes evaluated were intracerebral overall response rate (icORR) and intracerebral disease control rate (icDCR) for unBM, and grades 3 and 4 toxicity rate. RESULTS: We included 12 studies with a total of 566 individuals in the final analysis. Anti-programmed cell death protein-1 therapy seems to be active in the central nervous system, with an icORR of 16.4% (95% confidence interval [CI]: 9.8%-24%; I2 = 33.17%) and an icDCR of 45% (95% CI: 33.4%-56.9%; I2 = 46.91%). In the meta-analysis for icORR (risk ratio = 1.26, 95% CI: 0.57-2.79) and icDCR (risk ratio = 0.88, 95% CI: 0.55-1.43) we did not observe any difference among patients with BM who were treated with RT before ICI start and those who were treated with ICI only. CONCLUSIONS: ICI seems to be effective as a single treatment for active BM in selected patients with advanced NSCLC.

Anti-PD1 versus anti-PD-L1 immunotherapy in first-line therapy for advanced non-small cell lung cancer: A systematic review and meta-analysis.

BACKGROUND: Due to the increasing number of trials with immune checkpoint inhibitors (ICIs) in the first-line therapy of non-small cell lung cancer (NSCLC) patients, we performed a systematic review and meta-analyses to investigate the difference between anti PD-1 and PD-L1 antibodies, used alone or in combination with chemotherapy, through adjusted indirect analysis to minimize the potential bias regarding overall survival (OS), progression-free survival (PFS), overall response rate (ORR) and grade 3-5 adverse events (AEs). METHODS: A systematic review of studies reporting clinical outcomes and toxicity associated with first-line therapy employing anti-PD1 or anti-PD-L1 antibodies alone, or in combination with chemotherapy, to treat metastatic, treatment-naïve NSCLC patients was performed. Primary outcomes were OS, PFS, ORR and grade 3-5 AEs. We used a random-effects model to generate pooled estimates for proportions. Meta-analyses using pooled risk ratios were performed for binary outcomes from comparative studies with the random effects model. RESULTS: A total of 13 eligible studies met our eligibility criteria, including 7673 patients. In the ICI-chemotherapy combination subgroup, we observed that anti-PD1 therapy was associated with better OS (p = 0.022) and PFS (p = 0.029) compared with anti-PD-L1 therapy. In the monotherapy subgroup, there was no statistical difference between the use of anti-PD-1 and anti-PD-L1 for OS and PFS. With regard to ORR and toxicity, in the ICI-chemotherapy combination subgroup, we observed a trend of better ORR (p = 0.12) with the use of anti-PD1 therapy and less frequent grade 3-5 AEs compared to the use of anti-PD-L1 therapy (p = 0.0302). In the monotherapy subgroup, there was no statistical difference between the use of anti-PD-1 and anti-PD-L1 regarding ORR and toxicity. CONCLUSIONS: Our study suggests that PD-1 drug plus chemotherapy is superior to anti-PD-L1 plus chemotherapy for NSCLC; nevertheless, as monotherapy, both strategies appear to be similar.

Predictive Value of Immune Cell Functional Assay for Non-Cytomegalovirus Infection in Lung Transplant Recipients: A Multicenter Prospective Observational Study.

INTRODUCTION: Immune cell functional assay (ImmuKnow®) is a non-invasive method that measures the state of cellular immunity in immunosuppressed patients. We studied the prognostic value of the assay for predicting non-cytomegalovirus (CMV) infections in lung transplant recipients. METHODS: A multicenter prospective observational study of 92 patients followed up from 6 to 12 months after transplantation was performed. Immune cell functional assay was carried out at 6, 8, 10, and 12 months. RESULTS: Twenty-three patients (25%) developed 29 non-CMV infections between 6 and 12 months post-transplant. At 6 months, the immune response was moderate (ATP 225-525ng/mL) in 14 (15.2%) patients and low (ATP<225ng/mL) in 78 (84.8%); no patients had a strong response (ATP≥525ng/mL). Only 1 of 14 (7.1%) patients with a moderate response developed non-CMV infection in the following 6 months compared with 22 of 78 (28.2%) patients with low response, indicating sensitivity of 95.7%, specificity of 18.8%, positive predictive value (PPV) of 28.2%, and negative predictive value (NPV) of 92.9% (AUC 0.64; p=0.043). Similar acute rejection rates were recorded in patients with mean ATP≥225 vs. <225ng/mL during the study period (7.1% vs. 9.1%, p=0.81). CONCLUSION: Although ImmuKnow® does not seem useful to predict non-CMV infection, it could identify patients with a very low risk and help us define a target for an optimal immunosuppression.

Predictive Value of Immune Cell Functional Assay for Non-Cytomegalovirus Infection in Lung Transplant Recipients: A Multicenter Prospective Observational Study.

INTRODUCTION: Immune cell functional assay (ImmuKnow®) is a non-invasive method that measures the state of cellular immunity in immunosuppressed patients. We studied the prognostic value of the assay for predicting non-cytomegalovirus (CMV) infections in lung transplant recipients. METHODS: A multicenter prospective observational study of 92 patients followed up from 6 to 12 months after transplantation was performed. Immune cell functional assay was carried out at 6, 8, 10, and 12 months. RESULTS: Twenty-three patients (25%) developed 29 non-CMV infections between 6 and 12 months post-transplant. At 6 months, the immune response was moderate (ATP 225-525ng/mL) in 14 (15.2%) patients and low (ATP<225ng/mL) in 78 (84.8%); no patients had a strong response (ATP≥525ng/mL). Only 1 of 14 (7.1%) patients with a moderate response developed non-CMV infection in the following 6 months compared with 22 of 78 (28.2%) patients with low response, indicating sensitivity of 95.7%, specificity of 18.8%, positive predictive value (PPV) of 28.2%, and negative predictive value (NPV) of 92.9% (AUC 0.64; p=0.043). Similar acute rejection rates were recorded in patients with mean ATP≥225 vs. <225ng/mL during the study period (7.1% vs. 9.1%, p=0.81). CONCLUSION: Although ImmuKnow® does not seem useful to predict non-CMV infection, it could identify patients with a very low risk and help us define a target for an optimal immunosuppression.

Prevalence of Clinical COPD Phenotypes in Patients Who Are Candidates for Lung Transplantation, Complications and Post-Transplant Survival.

Introduction: The prevalence of COPD phenotypes that are referred for assessment for lung transplantation is unknown, as well as whether specific phenotype influences post-transplant evolution in those patients who receive it. Material and methods: Ambispective observational study without intervention. The main objective was to know the prevalence of the different COPD phenotypes of the patients referred for the evaluation of a lung transplant. Secondary objective were to compare their clinical characteristics, to perform an analysis of post-transplant survival or complications according to their phenotype. Results: 502 patients were evaluated for lung transplantation, of which 173 met the study criteria. 31.21% of the patients were discarded for transplantation on a first visit. The final cohort of potential transplant candidates who completed the pre-transplant study was 119 (69%) and 47 finally received a lung transplant (39.5%). The most frequent COPD phenotype evaluated for lung transplantation was the exacerbator (59%), followed by the non-exacerbator (38%) and the Asthma COPD Overlap [ACO] (3%). 59.8% of the exacerbator-phenotype patients assessed did not complete the pre-transplant study. Exacerbator-phenotype patients have a lower post-transplant survival (1115.1 days [standard deviation-DE-587]) vs. ACO: 1432 days [DE 507.5] and Non-exacerbators: 1317.8 days [DE 544.7] p = 0.16), although this difference has not been statistically significant. Conclusions: The most frequent COPD phenotype assessed for lung transplantation is the exacerbator, although more than half of these patients fail to complete the pre-transplant study.

Introducción: Se desconoce la prevalencia de los fenotipos de EPOC que son remitidos para valorar el trasplante pulmonar, así como si un fenotipo específico tiene influencia en la evolución postrasplante en aquellos pacientes que lo reciben. Materiales y métodos: Estudio observacional ambispectivo, sin intervención. El objetivo principal fue conocer la prevalencia de los diferentes fenotipos de EPOC de los pacientes que fueron remitidos para valorar un trasplante de pulmón. Los objetivos secundarios fueron comparar sus características clínicas para realizar un análisis de la supervivencia postrasplante o de las complicaciones de acuerdo con el fenotipo. Resultados: Se valoró a 502 pacientes para la realización de un trasplante de pulmón, de los cuales 173 cumplían los criterios del estudio. El 31,21% de los pacientes fue descartado para el trasplante en la primera visita. La cohorte final de candidatos potenciales a trasplante que completaron el estudio pretrasplante fue de 119 pacientes (69%) y, finalmente, 47 recibieron el trasplante de pulmón (39,5%). El fenotipo de EPOC que se evaluó con mayor frecuencia para el trasplante de pulmón fue el agudizador (59%), seguido del no agudizador (38%) y el mixto EPOC-asma (3%). El 59,8% de los pacientes con fenotipo agudizador valorados no completó el estudio pretrasplante. Los pacientes con fenotipo agudizador presentan una supervivencia postrasplante más baja (1.115,1 días; desviación estándar [DE]: 587) frente a los mixto EPOC-asma (1.432 días; DE: 507,5) y los no agudizadores (1.317,8 días; DE: 544,7; p = 0,16), aunque esta diferencia no fue estadísticamente significativa. Conclusiones: El fenotipo más frecuentemente estudiado para el trasplante de pulmón es el agudizador, aunque más de la mitad de estos pacientes no completa el estudio pretrasplante.