All patients undergoing allogeneic or autologous HSCT at the participating centres will be observed. Once a diagnosis of CNS disorder is made, additional data will be reported for these patients.
We will identify clinical and diagnostic characteristics such as cerebrospinal fluid (CSF) and neuroimaging patterns, risk factors, response to treatment (including novel antifungal agents such as isavuconazole) and outcome. In addition, risk factors for CNS disorders after allogeneic and autologous HSCT will be analyzed using a prospectively assessed matched control group. In the future, this study might be the basis for an interventional trial (e.g. using a prophylactic approach).
For each case patient (i.e. HSCT recipient with a CNS disorder) two control patients (1:2 allocation) should be analysed prospectively with the aim to get more insights into risk factors for CNS disorders. Hereby, the two patients transplanted subsequently to the corresponding case patient should be included as controls if they survive and do not develop a CNS disorder until the inclusion time point. Inclusion time points of controls should be determined by using the same delay between transplant and the onset of the CNS disorder of the corresponding case patient. Controls should also be stratified by centre, HSCT type (i.e. allogeneic vs. autologous) and age (adults vs. paediatrics). As for cases with CNS disorders, controls should also be evaluated regularly until last follow-up. To avoid bias and to estimate the incidence of infectious vs. non-infectious CNS disorders in autologous and allogeneic HSCT recipients accurately centres should also report patients with CNS disorders not included in this study (e.g. due to lack of informed consent or essential Med-A data). Centres are additionally asked by the data management office in Leiden/Netherlands for these data on a regularly basis.
Primary objectives
Secondary objectives
Data Collection & Statistical Analysis Plan Data collection will be performed by the IDWP data office (Leiden/Netherlands). Hereby, patient and transplant data are reported directly from the centres to the data office according to EBMT guidelines.
Important basic data for analysis (collected from Med-A and Med-C for both case patients and controls):
Specific data to be collected for patients with CNS disorders (see also Med-C for cases and appendix), e.g.:
Specific data to be collected for patients without CNS disorder (see also Med-C for controls), e.g.:
Statistical analysis Statistical methods used to compare groups for primary and secondary outcomes Primary endpoints: descriptive statistics will be performed to report the main characteristics (and 30 day outcome) of patients with infectious and non-infectious CNS disorders: absolute and percentage frequencies will be reported for categorical variables; median, IQR and range will be used for continuous variables.
Secondary endpoints: the cumulative incidence of infectious and non-infectious CNS disorders after HSCT will be estimated by the cumulative incidence method: infectious and non-infectious CNS disorders will be considered as events, whilst non-CNS relapse, non-CNS secondary malignancy and non-CNS death will be considered as competing event. Overall survival will be assessed using Kaplan-Meier curves, and the impact of the development of CNS disorders on overall survival will be assessed using time-dependent Cox models. To compute these endpoints, the data of all patients after HSCT will be obtained from the EBMT patient databases (e.g. ProMISe).
The risk factor analysis will be performed by a conditional logistic regression model. P-values <0.05 will be considered statistically significant. The analyses will be performed using the software SAS/R v 9.4 or higher (SAS Institute Inc., Cary, NC, USA).
Methods for additional analyses, such as subgroup analyses and adjusted analyses The cumulative incidence of infectious and non-infectious CNS disorders after HSCT will be computed and reported separately for different transplant types (autologous vs. allogeneic - matched related donor vs. haploidentical donor vs. other donor type), and stem cell source (cord blood vs. bone marrow vs. peripheral blood) of HSCT and for different age categories (adults vs. paediatrics). These comparisons will be presented in terms of crude cumulative incidence curves, and differences between groups will be assessed using Gray's test. Multivariable analyses will be performed using cause-specific hazard models. Cox models for overall survival will include CNS disorders as time-dependent covariates. Candidate variables for these analyses will be obtained from a list of predefined variables, including (but not limited to) type of transplant (allogeneic vs. autologous HSCT), age, stem cell source, donor relationship, and use of T cell depletion. Potential effects of centres will be examined using random effects.
Risk factors for CNS disorders after allogeneic and autologous HSCT will be assessed using multivariable conditional logistic regression. Candidate variables for this analysis will be obtained from a list of predefined variables, including the stratification variables.
Model building will proceed as follows: each variable will be preliminarily assessed using univariable analyses. Factors associated with the response and significant at the 20% level in univariable analyses will be considered for inclusion in a multivariable model. Factors will be retained if significant at the 5% level, and interaction terms included (after assessment of main effects) if significant at a 10% level (with possible corresponding subgroup analyses used to illustrate differential effects).
Condition | Central Nervous System Infections, Central Nervous System Complication, Infectious Disease of Nervous System, Blood Disease, Blood Cancer, Infection |
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Clinical Study Identifier | NCT04737785 |
Sponsor | European Society for Blood and Marrow Transplantation |
Last Modified on | 20 June 2022 |
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