Multicenter Retrospective Study of Invasive Fusariosis in Intensive Care Units, France.

Invasive fusariosis can be life-threatening, especially in immunocompromised patients who require intensive care unit (ICU) admission. We conducted a multicenter retrospective study to describe clinical and biologic characteristics, patient outcomes, and factors associated with death and response to antifungal therapy. We identified 55 patients with invasive fusariosis from 16 ICUs in France during 2002----2020. The mortality rate was high (56%). Fusariosis-related pneumonia occurred in 76% of patients, often leading to acute respiratory failure. Factors associated with death included elevated sequential organ failure assessment score at ICU admission or history of allogeneic hematopoietic stem cell transplantation or hematologic malignancies. Neither voriconazole treatment nor disseminated fusariosis were strongly associated with response to therapy. Invasive fusariosis can lead to multiorgan failure and is associated with high mortality rates in ICUs. Clinicians should closely monitor ICU patients with a history of hematologic malignancies or stem cell transplantation because of higher risk for death.

Two-stage randomized clinical trials with a right-censored endpoint: Comparison of frequentist and Bayesian adaptive designs.

Adaptive randomized clinical trials are of major interest when dealing with a time-to-event outcome in a prolonged observation window. No consensus exists either to define stopping boundaries or to combine p $$ p $$ values or test statistics in the terminal analysis in the case of a frequentist design and sample size adaptation. In a one-sided setting, we compared three frequentist approaches using stopping boundaries relying on α $$ \alpha $$ -spending functions and a Bayesian monitoring setting with boundaries based on the posterior distribution of the log-hazard ratio. All designs comprised a single interim analysis with an efficacy stopping rule and the possibility of sample size adaptation at this interim step. Three frequentist approaches were defined based on the terminal analysis: combination of stagewise statistics (Wassmer) or of p $$ p $$ values (Desseaux), or on patientwise splitting (Jörgens), and we compared the results with those of the Bayesian monitoring approach (Freedman). These different approaches were evaluated in a simulation study and then illustrated on a real dataset from a randomized clinical trial conducted in elderly patients with chronic lymphocytic leukemia. All approaches controlled for the type I error rate, except for the Bayesian monitoring approach, and yielded satisfactory power. It appears that the frequentist approaches are the best in underpowered trials. The power of all the approaches was affected by the violation of the proportional hazards (PH) assumption. For adaptive designs with a survival endpoint and a one-sided alternative hypothesis, the Wassmer and Jörgens approaches after sample size adaptation should be preferred, unless violation of PH is suspected.

Dose optimization for cancer treatments with considerations for late-onset toxicities.

Given that novel anticancer therapies have different toxicity profiles and mechanisms of action, it is important to reconsider the current approaches for dose selection. In an effort to move away from considering the maximum tolerated dose as the optimal dose, the Food and Drug Administration Project Optimus points to the need of incorporating long-term toxicity evaluation, given that many of these novel agents lead to late-onset or cumulative toxicities and there are no guidelines on how to handle them. Numerous methods have been proposed to handle late-onset toxicities in dose-finding clinical trials. A summary and comparison of these methods are provided. Moreover, using PI3K inhibitors as a case study, we show how late-onset toxicity can be integrated into the dose-optimization strategy using current available approaches. We illustrate a re-design of this trial to compare the approach to those that only consider early toxicity outcomes and disregard late-onset toxicities. We also provide proposals going forward for dose optimization in early development of novel anticancer agents with considerations for late-onset toxicities.

Increased levels of GM-CSF and CXCL10 and low CD8+ memory stem T Cell count are markers of immunosenescence and severe COVID-19 in older people.

BACKGROUND: Ageing leads to altered immune responses, resulting in higher susceptibility to certain infections in the elderly. Immune ageing is a heterogeneous process also associated with inflammaging, a low-grade chronic inflammation. Altered cytotoxic T cell responses and cytokine storm have previously been described in severe COVID-19 cases, however the parameters responsible for such immune response failures are not well known. The aim of our study was to characterize CD8+ T cells and cytokines associated with ageing, in a cohort of patients aged over 70 years stratified by COVID-19 severity. RESULTS: One hundred and four patients were included in the study. We found that, in older people, COVID-19 severity was associated with (i) higher level of GM-CSF, CXCL10 (IP-10), VEGF, IL-1ß, CCL2 (MCP-1) and the neutrophil to lymphocyte ratio (NLR), (ii) increased terminally differentiated CD8+T cells, and (ii) decreased early precursors CD8+ T stem cell-like memory cells (TSCM) and CD27+CD28+. The cytokines mentioned above were found at higher concentrations in the COVID-19+ older cohort compared to a younger cohort in which they were not associated with disease severity. CONCLUSIONS: Our results highlight the particular importance of the myeloid lineage in COVID-19 severity among older people. As GM-CSF and CXCL10 were not associated with COVID-19 severity in younger patients, they may represent disease severity specific markers of ageing and should be considered in older people care.

Drug combinations screening using a Bayesian ranking approach based on dose-response models.

Drug combinations have been of increasing interest in recent years for the treatment of complex diseases such as cancer, as they could reduce the risk of drug resistance. Moreover, in oncology, combining drugs may allow tackling tumor heterogeneity. Identifying potent combinations can be an arduous task since exploring the full dose-response matrix of candidate combinations over a large number of drugs is costly and sometimes unfeasible, as the quantity of available biological material is limited and may vary across patients. Our objective was to develop a rank-based screening approach for drug combinations in the setting of limited biological resources. A hierarchical Bayesian 4-parameter log-logistic (4PLL) model was used to estimate dose-response curves of dose-candidate combinations based on a parsimonious experimental design. We computed various activity ranking metrics, such as the area under the dose-response curve and Bliss synergy score, and we used the posterior distributions of ranks and the surface under the cumulative ranking curve to obtain a comprehensive final ranking of combinations. Based on simulations, our proposed method achieved good operating characteristics to identifying the most promising treatments in various scenarios with limited sample sizes and interpatient variability. We illustrate the proposed approach on real data from a combination screening experiment in acute myeloid leukemia.

Prognosis and long-term outcomes in type I cryoglobulinemia: A multicenter study of 168 patients.

Type I cryoglobulinemia (CG) accounts for 10%-15% of all cryoglobulinemias and are exclusively seen in clonal proliferative hematologic conditions. In this multicenter nationwide cohort study, we analyzed the prognosis and long-term outcomes of 168 patients with type I CG (93 (55.4%) IgM and 75 [44.6%] IgG). Five- and 10-year event-free survivals (EFS) were 26.5% (95% CI 18.2%-38.4%) and 20.8% (95% CI 13.1%-33.1%), respectively. In multivariable analysis, factors associated with poorer EFS were renal involvement (HR: 2.42, 95% CI 1.41-4.17, p = .001) and IgG type I CG (HR: 1.96, 95% CI 1.13-3.33, p = 0.016), regardless of underlying hematological disorders. IgG type I CG patients had higher cumulative incidence of relapse (94.6% [95% CI 57.8%-99.4%] vs. 56.6% [95% CI 36.6%-72.4%], p = .0002) and death at 10 years (35.8% [19.8%-64.6%] vs. 71.3% [54.0%-94.2%], p = .01) as compared to IgM CG, respectively. Overall, complete response of type I CG at 6 months was 38.7%, with no significant difference between Igs isotypes. In conclusion, renal involvement and IgG CG were identified as independent poor prognostic factors of type I CG.

Incorporating patient-reported outcomes in dose-finding clinical trials with continuous patient enrollment.

Dose-finding clinical trials in oncology estimate the maximum tolerated dose (MTD), based on toxicity obtained from the clinician's perspective. While the collection of patient-reported outcomes (PROs) has been advocated to better inform treatment tolerability, there is a lack of guidance and methods on how to use PROs for dose assignments and recommendations. The PRO continual reassessment method (PRO-CRM) has been proposed to formally incorporate PROs into dose-finding trials. In this paper, we propose two extensions of the PRO-CRM, which allow continuous enrollment of patients and longer toxicity observation windows to capture late-onset or cumulative toxicities by using a weighted likelihood to include the partial toxicity follow-up information. The TITE-PRO-CRM uses both the PRO and the clinician's information during the trial for dose assignment decisions and at the end of the trial to estimate the MTD. The TITE-CRM + PRO uses clinician's information solely to inform dose assignments during the trial and incorporates PRO at the end of the trial for the estimation of the MTD. Simulation studies show that the TITE-PRO-CRM performs similarly to the PRO-CRM in terms of dose recommendation and assignments during the trial while almost halving trial duration in case of an accrual of two patients per observation window. The TITE-CRM + PRO slightly underperforms compared to the TITE-PRO-CRM, but similar performance can be attained by requiring larger sample sizes. We also show that the performance of the proposed methods is robust to higher accrual rates, different toxicity hazards, and correlated time-to-clinician toxicity and time-to-patient toxicity data.

PD-1 blockade with pembrolizumab in classic or endemic Kaposi's sarcoma: a multicentre, single-arm, phase 2 study.

BACKGROUND: Although the treatment of iatrogenic and HIV-related Kaposi sarcoma is well defined and mostly based on restoring immune function, the treatment of classic and endemic Kaposi sarcoma is less well established. Chemotherapy or interferon α is used for patients with extensive cutaneous or visceral Kaposi sarcoma, but tolerance might be poor and long-term remission is rare. We aimed to evaluate the activity of pembrolizumab in classic and endemic Kaposi sarcoma with cutaneous extension requiring systemic treatment. METHODS: We did a multicentre, single-arm, proof-of-concept, phase 2 trial in adults aged 18 years or older with histologically proven classic or endemic Kaposi's sarcoma with progressive cutaneous extension requiring systemic treatment and an Eastern Cooperative Oncology Group performance status of 0-1 in three hospitals in France. The patients were treated with 200 mg pembrolizumab intravenously every 3 weeks for 6 months (eight cycles) or until severe toxicity. The primary endpoint was the best overall response rate within the 6-month timeframe, defined by the occurrence of a complete response or partial response and assessed by an investigator using the modified AIDS Clinical Trial Group (ACTG) criteria. Three or more responses among a total 17 patients were needed for the primary endpoint to be met, using a Simon's two-stage optimal design assuming a 30% response rate as desirable. For this final study analysis, all patients were included following the intention-to-treat principle. This study is registered with ClinicalTrials.gov, NCT03469804, and is closed to new participants. FINDINGS: 30 patients were screened for eligibility and 17 patients (eight [47%] with classic and nine [53%] with endemic Kaposi's sarcoma) were enrolled between July 2, 2018, and Dec 16, 2019. The median follow-up was 20·4 months (IQR 18·1-24·1). Two (12%) patients had a complete response, ten (59%) had a partial response, and five (29%) had stable disease as the best response within the 6-month treatment timeframe, with a best overall response rate of 71% (95% CI 44-90), meeting the predefined primary outcome (ie, exceeding a response rate of 30%). Treatment-related adverse events occurred in 13 (76%) of 17 patients, including two grade 3 adverse events (one [6%] acute cardiac decompensation and one [6%] granulomatous reaction). Treatment was prematurely discontinued in two (12%) patients due to grade 3 acute reversible cardiac decompensation and grade 2 pancreatitis, and one other patient had a grade 3 granulomatous reaction in mediastinal lymph nodes requiring steroids and methotrexate treatment. There were no serious adverse events or treatment-related deaths. INTERPRETATION: In this prospective trial, which to our knowledge is the first to assess the role of PD-1 blockade in patients with classic and endemic Kaposi's sarcoma, pembrolizumab showed promising anti-tumour activity with an acceptable safety profile. If this result is supported by further studies, treatment with anti-PD-1 could be part of the therapeutic armamentarium for patients with classic and endemic Kaposi's sarcoma. FUNDING: MSD France.

Cerebrovascular Ischemic Events in Patients With Takayasu Arteritis.

BACKGROUND: Takayasu arteritis (TA) is a large vessel vasculitis that may complicate with cerebrovascular ischemic events. The objective was to describe clinical and vascular features of TA patients with cerebrovascular ischemic events and to identify risk factors for these events. METHODS: We analyzed the prevalence and type of stroke/transient ischemic attack (TIA), factors associated with cerebrovascular ischemic events, and stroke-free survival in a large cohort fulfilling the American College of Rheumatology or Ishikawa criteria of TA. RESULTS: Among 320 patients with TA (median age at diagnosis, 36 [25-47] years; 261 [86%] women), 63 (20%) had a stroke (n=41; 65%) or TIA (n=22; 35%). Ischemic event localized in the carotid territory for 55 (87%) patients and the vertebral artery territory in 8 (13%) patients. Multiple stenosis were observed in 33 (52%) patients with a median number of stenosis of 2 (minimum, 0 to maximum, 11), and aneurysms were observed in 10 (16%) patients. A history of stroke or TIA before TA diagnosis (hazard ratio [HR], 4.50 [2.45-8.17]; P<0.0001), smoking (HR, 1.75 [1.01-3.02]; P=0.05), myocardial infarction history (HR, 0.21 [0.05-0.89]; P=0.039), thoracic aorta involvement (HR, 2.05 [1.30-3.75]; P=0.023), time from first symptoms to diagnosis >1 year (HR, 2.22 [1.30-3.80]; P=0.005), and aspirin treatment (HR, 1.82 [1.04-3.19]; P=0.035) were associated with cerebrovascular ischemic event. In multivariate analysis, time from first symptoms to TA diagnosis >1 year (HR, 2.16 [1.27-3.70]; P=0.007) was independently associated with cerebrovascular ischemic events in patients with TA. The HR for cerebrovascular ischemic event in patients who already experienced a stroke/TIA was 5.11 (2.91-8.99; P<0.0001), compared with those who had not. CONCLUSIONS: Carotid stroke/TIA is frequent in TA. We identified factors associated with cerebrovascular ischemic events.

Relapse of Hepatitis C Virus Cryoglobulinemic Vasculitis After Sustained Viral Response After Interferon-Free Direct-Acting Antivirals.

INTRODUCTION: Direct-acting antiviral agents (DAAs) have modified the management of chronic hepatitis C virus (HCV) infection, including HCV-related cryoglobulinemic vasculitis (CryoVas). However, patients might experience vasculitis relapse, and no reliable predictors of CryoVas relapse after sustained virologic response (SVR) have been established. We aimed to describe HCV-CryoVas relapse rates and factors associated with it. METHODS: An international multicenter cohort where patients with HCV-CryoVas from Egypt, France, and Italy treated with DAA were analyzed retrospectively. Factors associated with relapse-free survival were evaluated in a multivariate-adjusted model. RESULTS: Of 913 patients, 911 (99.8%) obtained SVR. After 35 months of the median follow-up, 798 patients (87.4%) had sustained remission of vasculitis, while 115 (12.6%) experienced CryoVas relapse. By the time of relapse, skin involvement was present in 100%, renal involvement in 85.2%, and peripheral neuropathy in 81.7%. Relapses were treated with glucocorticoids in 90.9%, associated with plasma exchange, cyclophosphamide, or rituximab in 50%, 37.3%, and 6.4%, respectively. The cumulative incidence of CryoVas relapse was 0.7% (95% CI 0.3-1.4), 12.3% (95% CI 10.2-14.6), and 13.1% (95% CI 11.0-15.5) at 12, 24, and 36 months after DAA treatment, respectively. Independent baseline risk factors associated with CryoVas relapse were male sex, skin ulcers, kidney involvement at baseline, and peripheral neuropathy at the end of DAA treatment. Death occurred in 11 relapsers, mainly due to infections. DISCUSSION: A substantial proportion of patients with CryoVas experience relapse after DAA-induced SVR. Relapses are moderate-to-severe and affect survival after 24 months, mainly due to infections. Independent risk factors for relapse or death were found.

Efficacy and safety of TNF-α antagonists and tocilizumab in Takayasu arteritis: multicentre retrospective study of 209 patients.

OBJECTIVE: To assess the safety and the efficacy of TNF-α antagonists and tocilizumab in patients with Takayasu arteritis (TAK). METHODS: A total of 209 patients with TAK [median age 29 years (interquartile range 7-62)], 186 (89%) females] were included. They received either TNF-α antagonists [n = 132 (63%) with 172 lines; infliximab (n = 109), adalimumab (n = 45), golimumab (n = 8), certolizumab (n = 6) and etanercept (n = 5)] or tocilizumab [n = 77 (37%) with 121 lines; i.v. and s.c. in 95 and 26 cases, respectively]. RESULTS: A complete response at 6 months was evidenced in 101/152 (66%) patients on TNF-α antagonists and 75/107 (70%) patients on tocilizumab. Age ≥30 years [odds ratio 2.09 (95% CI 1.09, 3.99)] was associated with complete response, whereas vascular signs [OR 0.26 (95% CI 0.1, 0.65)], baseline prednisone ≥20 mg/day [OR 0.51 (95% CI 0.28, 0.93)] were negatively associated with the complete response to TNF-α antagonists or tocilizumab. During a median follow-up of 36 months, 103 relapses were noted. Supra-aortic branches and thoracic aorta involvement [HR 2.44 (95% CI 1.06, 5.65) and 3.66 (1.18, 11.4), respectively] and systemic signs at baseline [HR 2.01 (95% CI 1.30, 3.11)] were significantly associated with relapse. The cumulative incidence of treatment discontinuation and relapse were similar in TNF-α antagonists and tocilizumab. Fifty-eight (20%) adverse effects occurred on biologic targeted therapies [37 (21%) on TNF-α antagonists and 21 (17%) on tocilizumab (P = 0.4), respectively]. CONCLUSION: This large multicentre study shows high efficacy of biologic targeted treatments in refractory TAK. Efficacy, relapse and drug retention rate were equivalent with TNF-α antagonists and tocilizumab.

Anti-Tumor Necrosis Factor α versus Tocilizumab in the Treatment of Refractory Uveitic Macular Edema: A Multicenter Study from the French Uveitis Network.

PURPOSE: To analyze the factors associated with response (control of ocular inflammation and corticosteroid-sparing effect) to biologics (anti-tumor necrosis factor [TNF]-α agents and tocilizumab) in patients with refractory uveitic macular edema (ME). DESIGN: Multicenter, retrospective, observational study. PARTICIPANTS: Adult patients with uveitic ME refractory to systemic corticosteroids, disease-modifying antirheumatic drugs, or both. METHODS: Patients received anti-TNF-α agents (infliximab 5 mg/kg at week 0, 2, 6, and every 4-6 weeks [n = 69] and adalimumab 40 mg/2 weeks [n = 80]) and tocilizumab (8 mg/kg every 4 weeks intravenously [n = 39] and 162 mg/week subcutaneously [n = 16]). MAIN OUTCOME MEASURES: Analysis of complete and partial response rates, relapse rate, low vision (visual acuity in at least 1 eye of ≥ 1 logarithm of the minimum angle of resolution), corticosteroid-sparing effect, and adverse events at 6 months. RESULTS: Two hundred four patients (median age, 40 years [interquartile range, 28-58 years]; 42.2% men) were included. Main causes of uveitis included Behçet's disease (17.2%), birdshot chorioretinopathy (11.3%), and sarcoidosis (7.4%). The overall response rate at 6 months was 46.2% (21.8% of complete response) with anti-TNF-α agents and 58.5% (35.8% of complete response) with tocilizumab. In multivariate analysis, treatment with tocilizumab (odds ratio, 2.10; 95% confidence interval [CI], 1.06-4.06; P = 0.03) was associated independently with complete response of uveitic ME compared with anti-TNF-α agents. Anti-TNF-α agents and tocilizumab did not differ significantly in terms of relapse rate (hazard ratio, 1.00; 95% CI, 0.31-3.18; P = 0.99) or occurrence of low vision (odds ratio, 1.02; 95% CI, 0.51-2.07; P = 0.95) or corticosteroid-sparing effect (P = 0.29). Adverse events were reported in 20.6% of patients, including serious adverse events reported in 10.8% of patients. CONCLUSIONS: Tocilizumab seems to improve complete response of uveitic ME compared with anti-TNF-α agents.

Mogamulizumab induces long-term immune restoration and reshapes tumour heterogeneity in Sézary syndrome.

BACKGROUND: Mogamulizumab, an anti-CCR4 monoclonal antibody, has been shown to increase progression-free survival in cutaneous T-cell lymphoma. OBJECTIVES: We hypothesized that besides the targeted depletion of Sézary cells (SCs), mogamulizumab may reshape the immune tumour microenvironment. METHODS: Both malignant and benign compartments from 26 patients with B2 stage Sézary syndrome before mogamulizumab initiation were prospectively analysed using KIR3DL2 and TCRVß markers, serological markers and molecular assessments of clonality. RESULTS: Prior to mogamulizumab, the benign subset of CD4+ T cells displayed exhausted phenotypes, with an increased gradient in programmed death-1, TIGIT, DNAM-1, CD27, CD28 and CD70 expression from age-matched controls to patients' benign CD4+ T cells and to SCs. All patients presented SCs with heterogeneous phenotypes, and differential expression of individual markers was found within distinct malignant subsets. Early complete blood response was observed in 17 of 26 patients and was associated with higher baseline CCR4 expression. A drastic decrease in benign T cells and activated regulatory T-cell counts was observed during the first 4 weeks. Long-term follow-up revealed the emergence of an immune restoration involving CD8+ and naive and stem memory CD4+ T cells, with almost complete disappearance of exhausted lymphocytes. Development of resistance or tumour escape to mogamulizumab was associated with the emergence of CCR4- SCs in blood and skin, displaying significant changes in their heterogeneity patterns, and not explained only by mutations within CCR4 coding regions. CONCLUSIONS: Mogamulizumab likely contributes to the restoration of efficient immunity and reshapes not only the malignant lymphocyte subset but also the benign subset. These results have potential implications for optimal therapeutic sequences and/or combinations. What is already known about this topic? Management of Sézary syndrome (SS) involves successive therapies that participate as cause and consequence in the emergence of resistant clones, on a background of immunodeficiency. We and others have reported the complex and dynamic heterogeneity of Sézary cells (SCs) during disease progression. Mogamulizumab therapy, by targeting the skin-homing receptor CCR4, mainly expressed by SCs, has been shown to increase progression-free survival in patients with SS. What does this study add? Using multicolour flow cytometry, we provide quantification of CCR4 and immune checkpoint molecules on malignant SCs and benign CD4+ T cells from patients with SS, separated using KIR3DL2 and TCRVß expression. Mogamulizumab is not only aimed at eradicating malignant SCs but potentially contributes to the restoration of efficient immunity. Tumour escape is associated with the emergence of CCR4- SCs, not explained only by mutations within CCR4 coding regions.

Surv-CRM-12: A Bayesian phase I/II survival CRM for right-censored toxicity endpoints with competing disease progression.

The growing interest in new classes of anti-cancer agents, such as molecularly-targeted therapies and immunotherapies with modes of action different from those of cytotoxic chemotherapies, has changed the dose-finding paradigm. In this setting, the observation of late-onset toxicity endpoints may be precluded by treatment and trial discontinuation due to disease progression, defining a competing event to toxicity. Trial designs where dose-finding is modeled in the framework of a survival competing risks model appear particularly well-suited. We aim to provide a phase I/II dose-finding design that allows dose-limiting toxicity (DLT) outcomes to be delayed or unobserved due to competing progression within the possibly long observation window. The proposed design named the Survival-continual reassessment method-12, uses survival models for right-censored DLT and progression endpoints. In this competing risks framework, cause-specific hazards for DLT and progression-free of DLT were considered, with model parameters estimated using Bayesian inference. It aims to identify the optimal dose (OD), by minimizing the cumulative incidence of disease progression, given an acceptable toxicity threshold. In a simulation study, design operating characteristics were evaluated and compared to the TITE-BOIN-ET design and a nonparametric benchmark approach. The performance of the proposed method was consistent with the complexity of scenarios as assessed by the nonparametric benchmark. We found that the proposed design presents satisfying operating characteristics in selecting the OD and safety.

Challenges of using external data in clinical trials- an illustration in patients with COVID-19.

BACKGROUND: To improve the efficiency of clinical trials, leveraging external data on control and/or treatment effects, which is almost always available, appears to be a promising approach. METHODS: We used data from the experimental arm of the Covidicus trial evaluating high-dose dexamethasone in severely ill and mechanically ventilated COVID-19 patients, using published data from the Recovery trial as external data, to estimate the 28-day mortality rate. Primary approaches to deal with external data were applied. RESULTS: Estimates ranged from 0.241 ignoring the external data up to 0.294 using hierarchical Bayesian models. Some evidence of differences in mortality rates between the Covidicus and Recovery trials were observed, with an matched adjusted odds ratio of death in the Covidicus arm of 0.41 compared to the Recovery arm. CONCLUSIONS: These indirect comparisons appear sensitive to the method used. None of those approaches appear robust enough to overcome randomized clinical trial data. TRIAL REGISTRATION: Covidicus Trial: NCT04344730, First Posted: 14/04/2020; Recovery trial: NCT04381936.

Association of COVID-19 Acute Respiratory Distress Syndrome With Symptoms of Posttraumatic Stress Disorder in Family Members After ICU Discharge.

IMPORTANCE: Persistent physical and mental disorders are frequent in survivors of COVID-19-related acute respiratory distress syndrome (ARDS). However, data on these disorders among family members are scarce. OBJECTIVE: To determine the association between patient hospitalization for COVID-19 ARDS vs ARDS from other causes and the risk of posttraumatic stress disorder (PTSD)-related symptoms in family members. DESIGN, SETTING, AND PARTICIPANTS: Prospective cohort study in 23 intensive care units (ICUs) in France (January 2020 to June 2020 with final follow-up ending in October 2020). ARDS survivors and family members (1 family member per patient) were enrolled. EXPOSURES: Family members of patients hospitalized for ARDS due to COVID-19 vs ARDS due to other causes. MAIN OUTCOMES AND MEASURES: The primary outcome was family member symptoms of PTSD at 90 days after ICU discharge, measured by the Impact of Events Scale-Revised (score range, 0 [best] to 88 [worst]; presence of PTSD symptoms defined by score >22). Secondary outcomes were family member symptoms of anxiety and depression at 90 days assessed by the Hospital Anxiety and Depression Scale (score range, 0 [best] to 42 [worst]; presence of anxiety or depression symptoms defined by subscale scores ≥7). Multivariable logistic regression models were used to determine the association between COVID-19 status and outcomes. RESULTS: Among 602 family members and 307 patients prospectively enrolled, 517 (86%) family members (median [IQR] age, 51 [40-63] years; 72% women; 48% spouses; 26% bereaved because of the study patient's death; 303 [50%] family members of COVID-19 patients) and 273 (89%) patients (median [IQR] age, 61 [50-69] years; 34% women; 181 [59%] with COVID-19) completed the day-90 assessment. Compared with non-COVID-19 ARDS, family members of patients with COVID-19 ARDS had a significantly higher prevalence of symptoms of PTSD (35% [103/293] vs 19% [40/211]; difference, 16% [95% CI, 8%-24%]; P < .001), symptoms of anxiety (41% [121/294] vs 34% [70/207]; difference, 8% [95% CI, 0%-16%]; P= .05), and symptoms of depression (31% [91/291] vs 18% [37/209]; difference, 13% [95% CI, 6%-21%]; P< .001). In multivariable models adjusting for age, sex, and level of social support, COVID-19 ARDS was significantly associated with increased risk of PTSD-related symptoms in family members (odds ratio, 2.05 [95% CI, 1.30 to 3.23]). CONCLUSIONS AND RELEVANCE: Among family members of patients hospitalized in the ICU with ARDS, COVID-19 disease, as compared with other causes of ARDS, was significantly associated with increased risk of symptoms of PTSD at 90 days after ICU discharge. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04341519.

DICE: A Bayesian model for early dose finding in phase I trials with multiple treatment courses.

Dose-finding clinical trials in oncology aim to determine the maximum tolerated dose (MTD) of a new drug, generally defined by the proportion of patients with short-term dose-limiting toxicities (DLTs). Model-based approaches for such phase I oncology trials have been widely designed and are mostly restricted to the DLTs occurring during the first cycle of treatment, although patients continue to receive treatment for multiple cycles. We aim to estimate the probability of DLTs over sequences of treatment cycles via a Bayesian cumulative modeling approach, where the probability of DLT is modeled taking into account the cumulative effect of the administered drug and the DLT cycle of occurrence. We propose a design, called DICE (Dose-fInding CumulativE), for dose escalation and de-escalation according to previously observed toxicities, which aims at finding the MTD sequence (MTS). We performed an extensive simulation study comparing this approach to the time-to-event continual reassessment method (TITE-CRM) and a benchmark. In general, our approach achieved a better or comparable percentage of correct MTS selection. Moreover, we investigated the DICE prediction ability.

Seamless phase I/II design for novel anticancer agents with competing disease progression.

Molecularly targeted agents and immunotherapies have prolonged administration and complicated toxicity and efficacy profiles requiring longer toxicity observation windows and the inclusion of efficacy information to identify the optimal dose. Methods have been proposed to either jointly model toxicity and efficacy, or for prolonged observation windows. However, it is inappropriate to address these issues individually in the setting of dose-finding because longer toxicity windows increase the risk of patients experiencing disease progression and discontinuing the trial, with progression defining a competing event to toxicity, and progression-free survival being a commonly used efficacy endpoint. No method has been proposed to address this issue in a competing risk framework. We propose a seamless phase I/II design, namely the competing risks continual reassessment method (CR-CRM). Given an observation window, the objective is to recommend doses that minimize the progression probability, among a set of tolerable doses in terms of toxicity risk. In toxicity-centered stage of the design, doses are assigned based on toxicity alone, and in optimization stage of the design, doses are assigned integrating both toxicity and progression information. Design operating characteristics were examined in a simulation study compared with benchmark performances, including sensitivity to time-varying hazards and correlated events. The method performs well in selecting doses with acceptable toxicity risk and minimum progression risk across a wide range of scenarios.

Characteristics and outcome according to underlying disease in non-AIDS patients with acute respiratory failure due to Pneumocystis pneumonia.

In the non-AIDS group, several underlying conditions and immune defects could lead to different PCP presentations. This study compared PCP presentation and outcome according to the underlying disease. A secondary analysis of a previously published prospective observational study including 544 PCP patients was done. Only non-AIDS patients were included. Underlying disease was defined as chronic lymphocytic leukemia (CLL), organ transplantation, solid cancer, allogeneic hematopoietic stem cell transplant (AHSCT), other hematological diseases, and immunosuppressive treatment. Clinical characteristics and outcomes were compared between groups. Multiple correspondent analyses compared clinical characteristics at diagnosis. Day 30 mortality was analyzed. Three hundred and twenty-one patients were included in the study. The underlying diseases were hematological malignancy (n = 75), AHSCT (n = 14), CLL (n = 19), solid organ transplant (n = 94), solid tumor (n = 39), and immunosuppressive treatment (n = 57). Compared with other underlying diseases, PCP related to CLL was closer to PCP related to AIDS presentation (long duration of symptoms before diagnosis, high level of dyspnea, and low oxygen saturation at diagnosis). Day 30 mortality was associated with underlying disease, oxygen flow, and shock at ICU admission. PCP presentations may vary according to the underlying reason for immunosuppression. Response to treatment and adjuvant steroid therapy should be analyzed regarding this result.

A simulation study of approaches for handling disease progression in dose-finding clinical trials.

In traditional dose-finding studies, dose-limiting toxicity (DLT) is determined within a fixed time observation window where DLT is often defined as a binary outcome. In the setting of oncology dose-finding trials, often patients in advanced stage of diseases are enrolled. Therefore, disease progression may occur within the DLT observation window leading to treatment discontinuation and rendering the patient unevaluable for DLT assessment. As a result, additional patients have to be enrolled, increasing the sample size. We propose and compare several practical approaches for handling disease progression which occurs within the DLT observation window, while in the framework of the time-to-event continual reassessment method (TITE-CRM) which allows using partial observations. The approaches differ on the way they define an evaluable patient and in the way incomplete observations are included. The practical approaches, which we call strategies A, B and C, are illustrated and contrasted in the context of a single simulated trial, and compared via simulations under various scenarios of dose-progression relationship, in the setting of advanced soft-tissue sarcoma.