Impact of chronic graft-versus-host-disease on intensive care outcome in allogeneic hematopoietic stem cell recipients.
Catherina LueckAsterios TzalavrasPhilipp WohlfarthElisabeth MeedtMichael KiehlAmin T TurkiMarius M HoeperMatthias EderJulia CsernaNina BuchteleDaniel WolffPeter SchellongowskiGernot BeutelTobias LiebregtsPublished in: Bone marrow transplantation (2022)
Chronic graft-vs-host-disease (cGvHD) is the most relevant long-term complication after allogeneic stem cell transplantation (HSCT) with major impact on non-relapse mortality, but data on intensive care unit (ICU) outcome are missing. In this retrospective, multicenter study we analyzed 174 adult HSCT recipients with cGvHD requiring intensive care treatment. Skin, pulmonary, liver, and intestinal involvement were present in 76.7%, 47.1%, 38.1% and 24.1%, respectively, and a total of 63.2% had severe cGvHD. Main reasons for ICU admission were respiratory failure (69.7%) and sepsis (34.3%). Hospital- and 3-year OS rates were 51.7% and 28.6%, respectively. Global severity of cGvHD did not impact short- and long-term survival. However, patients with severe liver cGvHD or the overlap subtype had a reduced hospital survival, while severe pulmonary cGvHD was associated with worse long-term survival. In multivariate analysis need for invasive ventilation (HR 1.08 (95% CI 1.02-1.14)) or hemodialysis (HR 1.73 (95% CI 1.14-2.62)) and <1 year since HSCT (HR 1.56 (95% CI 1.03-2.39)) were independently associated with a poorer survival. While the global severity of cGvHD does not per se affect patients' survival after intensive care treatment, pre-existing severe hepatic, intestinal or pulmonary cGvHD is associated with worse outcomes.
Keyphrases
- hematopoietic stem cell
- stem cell transplantation
- intensive care unit
- mechanical ventilation
- respiratory failure
- end stage renal disease
- early onset
- pulmonary hypertension
- high dose
- chronic kidney disease
- healthcare
- drug induced
- bone marrow
- peritoneal dialysis
- free survival
- acute kidney injury
- emergency department
- newly diagnosed
- cardiovascular disease
- low dose
- metabolic syndrome
- machine learning
- adipose tissue
- combination therapy
- insulin resistance
- risk factors
- big data
- cross sectional
- coronary artery disease
- adverse drug
- patient reported