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- Heyckendorf, J, et al.
(författare)
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Prediction of anti-tuberculosis treatment duration based on a 22-gene transcriptomic model
- 2021
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Ingår i: The European respiratory journal. - : European Respiratory Society (ERS). - 1399-3003 .- 0903-1936. ; 58:3
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Tidskriftsartikel (refereegranskat)abstract
- The World Health Organization recommends standardised treatment durations for patients with tuberculosis (TB). We identified and validated a host-RNA signature as a biomarker for individualised therapy durations for patients with drug-susceptible (DS)- and multidrug-resistant (MDR)-TB.MethodsAdult patients with pulmonary TB were prospectively enrolled into five independent cohorts in Germany and Romania. Clinical and microbiological data and whole blood for RNA transcriptomic analysis were collected at pre-defined time points throughout therapy. Treatment outcomes were ascertained by TBnet criteria (6-month culture status/1-year follow-up). A whole-blood RNA therapy-end model was developed in a multistep process involving a machine-learning algorithm to identify hypothetical individual end-of-treatment time points.Results50 patients with DS-TB and 30 patients with MDR-TB were recruited in the German identification cohorts (DS-GIC and MDR-GIC, respectively); 28 patients with DS-TB and 32 patients with MDR-TB in the German validation cohorts (DS-GVC and MDR-GVC, respectively); and 52 patients with MDR-TB in the Romanian validation cohort (MDR-RVC). A 22-gene RNA model (TB22) that defined cure-associated end-of-therapy time points was derived from the DS- and MDR-GIC data. The TB22 model was superior to other published signatures to accurately predict clinical outcomes for patients in the DS-GVC (area under the curve 0.94, 95% CI 0.9–0.98) and suggests that cure may be achieved with shorter treatment durations for TB patients in the MDR-GIC (mean reduction 218.0 days, 34.2%; p<0.001), the MDR-GVC (mean reduction 211.0 days, 32.9%; p<0.001) and the MDR-RVC (mean reduction of 161.0 days, 23.4%; p=0.001).ConclusionBiomarker-guided management may substantially shorten the duration of therapy for many patients with MDR-TB.
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- Heber, S, et al.
(författare)
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A Model Predicting Mortality of Hospitalized Covid-19 Patients Four Days After Admission: Development, Internal and Temporal-External Validation
- 2022
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Ingår i: Frontiers in cellular and infection microbiology. - : Frontiers Media SA. - 2235-2988. ; 11, s. 795026-
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Tidskriftsartikel (refereegranskat)abstract
- To develop and validate a prognostic model for in-hospital mortality after four days based on age, fever at admission and five haematological parameters routinely measured in hospitalized Covid-19 patients during the first four days after admission.MethodsHaematological parameters measured during the first 4 days after admission were subjected to a linear mixed model to obtain patient-specific intercepts and slopes for each parameter. A prediction model was built using logistic regression with variable selection and shrinkage factor estimation supported by bootstrapping. Model development was based on 481 survivors and 97 non-survivors, hospitalized before the occurrence of mutations. Internal validation was done by 10-fold cross-validation. The model was temporally-externally validated in 299 survivors and 42 non-survivors hospitalized when the Alpha variant (B.1.1.7) was prevalent.ResultsThe final model included age, fever on admission as well as the slope or intercept of lactate dehydrogenase, platelet count, C-reactive protein, and creatinine. Tenfold cross validation resulted in a mean area under the receiver operating characteristic curve (AUROC) of 0.92, a mean calibration slope of 1.0023 and a Brier score of 0.076. At temporal-external validation, application of the previously developed model showed an AUROC of 0.88, a calibration slope of 0.95 and a Brier score of 0.073. Regarding the relative importance of the variables, the (apparent) variation in mortality explained by the six variables deduced from the haematological parameters measured during the first four days is higher (explained variation 0.295) than that of age (0.210).ConclusionsThe presented model requires only variables routinely acquired in hospitals, which allows immediate and wide-spread use as a decision support for earlier discharge of low-risk patients to reduce the burden on the health care system.Clinical Trial RegistrationAustrian Coronavirus Adaptive Clinical Trial (ACOVACT); ClinicalTrials.gov, identifier NCT04351724.
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- Longinetti, E., et al.
(författare)
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COVID-19 clinical outcomes and DMT of MS patients and population-based controls
- 2022
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Ingår i: Annals of Clinical and Translational Neurology. - : Wiley. - 2328-9503. ; 9:9, s. 1449-1458
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To estimate risks for all-cause mortality and for severe COVID-19 in multiple sclerosis patients and across relapsing-remitting multiple sclerosis patients exposed to disease-modifying therapies. Methods: We conducted a Swedish nationwide population-based multi-register linkage cohort study and followed all multiple sclerosis patients (n = 17,692 in March 2020), individually age-, sex-, and region-matched to five population-based controls (n = 86,176 in March 2020) during March 2020-June 2021. We compared annual all-cause mortality within and across cohorts, and assessed incidence rates and relative risks for hospitalization, intensive care admission, and death due to COVID-19 in relation to disease-modifying therapy use, using Cox regression. Results: Absolute all-cause mortality among multiple sclerosis patients was higher from March to December 2020 than in previous years, but relative risks versus the population-based controls were similar to preceding years. Incidence rates of hospitalization, intensive care admission, and death due to COVID-19 remained in line with those for all-cause hospitalization, intensive care admission, and mortality. Among relapsing-remitting patients on rituximab, trends for differences in risk of hospitalization due to COVID-19 remained in the demographics-, socioeconomic status-, comorbidity-, and multiple sclerosis severity-adjusted model. Interpretation: Risks of severe COVID-19-related outcomes were increased among multiple sclerosis patients as a whole compared to population controls, but risk increases were also seen for non-COVID-19 hospitalization, intensive care admission, and mortality, and did not significantly differ during the pandemic compared to pre-pandemic years. The risk conveyed by disease-modifying therapies was smaller than previously assumed, likely as a consequence of the possibility to better control for confounders.
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- Longinetti, E., et al.
(författare)
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SARS-COV2 exposure rates and serological response of people living with MS
- 2022
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Ingår i: Multiple Sclerosis Journal. - : Sage Publications. - 1352-4585 .- 1477-0970. ; 28:Suppl. 3, s. 515-516
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Introduction: Some multiple sclerosis (MS) disease-modifying therapies (DMTs) are associated with blunted humoral vaccination responses, but relevance for SARS-CoV-2 infection is unclear.Objectives: To determine SARS-CoV-2 exposure rates and formation of antibody memory among participants of the COMparison Between All immunoTherapies for MS (COMBAT-MS; NCT03193866) and the Immunomodulation and MS Epidemiology (IMSE) studies.Aim: To determine SARS-CoV2 serological response of people living with MS (pwMS).Methods: Using a multiplex bead-based assay we determined SARS-CoV-2 spike and nucleocapsid antibody levels in 3,723 pwMS in paired serum samples (n=7,157) donated prior (Results: Specificity and sensitivity of the assay for SARS-CoV-2 was 100% and 99.7%, respectively. The proportion of positive samples for SARS-CoV-2 differed moderately across DMTs with the highest values among cladribine-treated (7.4%) and the lowest number among rituximab-treated pwMS (3.9%). Similarly, the proportion of positive cases not reported in the Swedish MS registry varied from 100% for cladribine to 33.3% among untreated pwMS. Comparing levels of antibodies titers showed that levels were lower among those treated with rituximab or fingolimod vs interferon treated pwMS. Point estimates indicated a similar trend comparing rituximab or fingolimod vs untreated pwMS.Conclusions: Overall rates of SARS-CoV-2 antibody positivity after the first COVID-19 wave differed only moderately across DMTs, while antibody levels were lower with rituximab or fingolimod compared to interferon-treated pwMS. This indicates quantitative rather than qualitative differences in the humoral response to infection.
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- Longinetti, E., et al.
(författare)
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Trajectories of processing speed, disability, and their connections, over the years following disease modulatory treatment initiation among relapsing-remitting multiple sclerosis patients
- 2021
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Ingår i: Multiple Sclerosis Journal. - : Sage Publications. - 1352-4585 .- 1477-0970. ; 27:Suppl. 2, s. 677-678
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Introduction: Data on how processing speed of relapsing-remitting multiple sclerosis patients (RRMS) evolve over time and its association with disability progression is scarce. We analysed the COMparison Between All immunoTherapies for Multiple Sclerosis (CombatMS; NCT03193866), a nationwide observational drug trial in RRMS.Objectives: Identify trajectories of processing speed and disability and their connections after disease modulatory treatment (DMT) start within the RRMS population.Describe patient characteristics associated with trajectory groups.Aim: Model trajectories of processing speed and disability.Methods: We assessed trajectories of oral Symbol Digit Modalities Test (SDMT) and expanded disability status scale (EDSS) from first DMT start using a group-based modeling approach among 1,800 RRMS patients followed 2010-2021. We investigated predictors of trajectories using group membership assignments as a multinomial outcome and calculated conditional probabilities linking membership across the trajectories.Results: We identified four trajectories of processing speed: low SDMT score (mean starting values; MSV=36.7, standard deviation; SD=8.4)-stable (13%), medium score (MSV =50.8, SD=6.7)-minor decrease (52%), medium/high score (MSV=62.9, SD=8.6)-minor decrease (32%), and high score (MSV= 75.2, SD=9.7)-moderate decrease (3%), and four trajectories of disability: no disability-stable (23%), minimal signs-minor increase (45%), minimal disability-moderate increase (27%), and relatively severe disability-moderate increase (5%). Patients with natalizumab as first DMT were less likely to belong to the medium and high processing speed trajectories, relative to the low SDMT score-stable one. Sex, age at DMT start, and geographical region of treatment were associated with medium and high processing speed and with minimal signs and minimal dis-ability trajectories.There was 0% probability of belonging to the relatively severe disability-moderate increase EDSS trajectory if belonging to the high score-moderate decrease SDMT trajectory, and 8% probability of belonging to the no disability-stable EDSS trajectory if belonging to the low score-stable SDMT trajectory.Conclusions: Patients with lower SDMT scores at DMT start did not decline over the years, whereas those with minimal or relatively severe disability moderately lost function. Our results also suggest an inverse link between processing speed and disability trajectories after DMT start.
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