RESUMEN
Increased blood fibrocytes are associated with a poor prognosis in fibrotic lung diseases. We aimed to determine whether the percentage of circulating fibrocytes could be predictive of severity and prognosis during coronavirus disease 2019 (COVID-19) pneumonia. Blood fibrocytes were quantified by flow cytometry as CD45+/CD15-/CD34+/collagen-1+ cells in patients hospitalized for COVID-19 pneumonia. In a subgroup of patients admitted in an intensive care unit (ICU), fibrocytes were quantified in blood and bronchoalveolar lavage (BAL). Serum amyloid P (SAP), transforming growth factor-ß1 (TGF-ß1), CXCL12, CCL2, and FGF2 concentrations were measured. We included 57 patients in the hospitalized group (median age = 59 yr [23-87]) and 16 individuals as healthy controls. The median percentage of circulating fibrocytes was higher in the patients compared with the controls (3.6% [0.2-9.2] vs. 2.1% [0.9-5.1], P = 0.04). Blood fibrocyte count was lower in the six patients who died compared with the survivors (1.6% [0.2-4.4] vs. 3.7% [0.6-9.2], P = 0.02). Initial fibrocyte count was higher in patients showing a complete lung computed tomography (CT) resolution at 3 mo. Circulating fibrocyte count was decreased in the ICU group (0.8% [0.1-2.0]), whereas BAL fibrocyte count was 6.7% (2.2-15.4). Serum SAP and TGF-ß1 concentrations were increased in hospitalized patients. SAP was also increased in ICU patients. CXCL12 and CCL2 were increased in ICU patients and negatively correlated with circulating fibrocyte count. We conclude that circulating fibrocytes were increased in patients hospitalized for COVID-19 pneumonia, and a lower fibrocyte count was associated with an increased risk of death and a slower resolution of lung CT opacities.
Asunto(s)
Antígenos CD/sangre , Células Sanguíneas/metabolismo , COVID-19/sangre , Citocinas/sangre , SARS-CoV-2/metabolismo , Proteína Amiloide A Sérica/metabolismo , Adulto , Anciano , Anciano de 80 o más Años , Recuento de Células Sanguíneas , COVID-19/diagnóstico , COVID-19/diagnóstico por imagen , Femenino , Humanos , Masculino , Persona de Mediana Edad , Pronóstico , Índice de Severidad de la Enfermedad , Tomografía Computarizada por Rayos XRESUMEN
BACKGROUND: Predictive factors of intensive care readmissions after lung transplantation (LT) have not been established. The main objective of this study was to assess early risk factors for ICU readmission during the first year after LT. METHODS: This retrospective, observational, single-centre study included all consecutive patients who underwent LT in our institution between January 2016 and November 2019. Patients who died during the initial hospitalisation in the ICU were excluded. Surgical and medical ICU readmissions were collected during the first year. The results are expressed as medians, interquartile ranges, absolute numbers and percentages. Statistical analyses were performed using the chi-square test, Fisher's exact test and Mann-Whitney U test as appropriate (p < 0.05 as significance). Multivariate analysis was performed to identify independent risk factors for readmission. The Paris-North-Hospitals Institutional Review Board reviewed and approved the study. RESULTS: A total of 156 patients were analysed. Eighteen of them (12%) died during the initial ICU hospitalisation. During the first year after LT, ICU readmission was observed for 49/138 (36%) patients. Among these patients, 14/49 (29%) died during the study period. Readmission was mainly related to respiratory failure (35 (71%) patients), infectious diseases (28 (57%) patients), airway complications (11 (22%) patients), and immunologic complications (4 (8%) patients). In the multivariate analysis, ICU readmission was associated with the use of high doses of catecholamines during surgery, and the increased duration of initial ICU stay. CONCLUSION: The initial severity of haemodynamic failure and a prolonged postoperative course seem to be key determinants of ICU readmissions after LT.
Asunto(s)
Trasplante de Pulmón , Readmisión del Paciente , Cuidados Críticos , Humanos , Incidencia , Unidades de Cuidados Intensivos , Tiempo de Internación , Complicaciones Posoperatorias/epidemiología , Complicaciones Posoperatorias/terapia , Estudios Retrospectivos , Factores de RiesgoRESUMEN
BACKGROUND: The optimal treatment for patients with severe coronavirus-19 disease (COVID-19) and hyper-inflammation remains debated. MATERIAL AND METHODS: A cohort study was designed to evaluate whether a therapeutic algorithm using steroids with or without interleukin-1 antagonist (anakinra) could prevent death/invasive ventilation. Patients with a ≥5-day evolution since symptoms onset, with hyper-inflammation (CRP≥50mg/L), requiring 3-5 L/min oxygen, received methylprednisolone alone. Patients needing ≥6 L/min received methylprednisolone + subcutaneous anakinra daily either frontline or in case clinical deterioration upon corticosteroids alone. Death rate and death or intensive care unit (ICU) invasive ventilation rate at Day 15, with Odds Ratio (OR) and 95% CIs, were determined according to logistic regression and propensity scores. A Bayesian analysis estimated the treatment effects. RESULTS: Of 108 consecutive patients, 70 patients received glucocorticoids alone. The control group comprised 63 patients receiving standard of care. In the corticosteroid±stanakinra group (n = 108), death rate was 20.4%, versus 30.2% in the controls, indicating a 30% relative decrease in death risk and a number of 10 patients to treat to avoid a death (p = 0.15). Using propensity scores a per-protocol analysis showed an OR for COVID-19-related death of 0.9 (95%CI [0.80-1.01], p = 0.067). On Bayesian analysis, the posterior probability of any mortality benefit with corticosteroids+/-anakinra was 87.5%, with a 7.8% probability of treatment-related harm. Pre-existing diabetes exacerbation occurred in 29 of 108 patients (26.9%). CONCLUSION: In COVID-19 non-ICU inpatients at the cytokine release phase, corticosteroids with or without anakinra were associated with a 30% decrease of death risk on Day 15.
Asunto(s)
Tratamiento Farmacológico de COVID-19 , Glucocorticoides/uso terapéutico , Proteína Antagonista del Receptor de Interleucina 1/uso terapéutico , Metilprednisolona/uso terapéutico , Anciano , Teorema de Bayes , COVID-19/mortalidad , COVID-19/patología , COVID-19/virología , Estudios de Casos y Controles , Estudios de Cohortes , Comorbilidad , Quimioterapia Combinada , Femenino , Humanos , Unidades de Cuidados Intensivos , Estimación de Kaplan-Meier , Masculino , Persona de Mediana Edad , Oportunidad Relativa , Factores de Riesgo , SARS-CoV-2/aislamiento & purificación , Índice de Severidad de la EnfermedadRESUMEN
BACKGROUND: Restrictive allograft syndrome (RAS) after lung transplantation (LTx) is associated with the poorer graft survival in patients with chronic lung allograft dysfunction (CLAD). Nevertheless, its diagnostic criteria have not been clearly defined after single-LTx (SLTx). Hence, we studied an SLTx cohort with CLAD to investigate the utility of both computed tomography (CT)-score/volume measures and functional spirometric criteria for the early identification of RAS in this population. METHODS: We included 51 patients with SLTx (17 RAS, 17 bronchiolitis obliterans syndrome [BOS], and 17 stable condition). The criteria for RAS diagnosis in SLTx included forced vital capacity (FVC) <80% baseline (BL) or forced expiratory volume in 1 second (FEV1) <80% BL with an FEV1/FVC ratiounchanged or >0.7 and persistent CT-scan-lung opacities. We defined 4 time points (T): T-baseline, T-onset (first CT-scan-opacities), T-follow-up, and T-last. RESULTS: In patients with RAS, the spirometric criteria for RAS at T-onset were reached in only 47% (FVC decline <80% BL [(29%] or FEV1 <80% BL/ratiounchanged or >0.7 [41%]), whereas at the same T-onset date, the graft CT-score increased to 5 (4-6) vs 1 (0-2) at baseline (p < 0.001) (CT - score ≥2 at T-onset in 100% and ΔCT - score ≥2 in 74% of patients with RAS), and the median CT-scan graft volume decreased to 1,722 ml (vs 1,796 ml at T-baseline, pâ¯=â¯0.003) (decreased CT-graft - volume <90% BL in 50% of patients). In contrast, in patients with BOS, CT-score/volume were unchanged at T-onset vs T-baseline (pâ¯=â¯0.8, pâ¯=â¯0.68, respectively). CONCLUSION: Our results suggest that the use of a simple CT-score and to a lesser extent, CT-volume measures, might allow for the early identification and/or prediction of RAS in SLTx rather than functional criteria.