Background: Hyperinflammation, hypercoagulation and multi-organ dysfunction are life-threatening complications needing immediate attention in moderate-tosevere COVID-19 patients. We present our real world experience with Itolizumab, a repurposed immunomodulatory monoclonal antibody, administered in COVID-19 patients.
Methodology: Data from 25 confirmed moderate-to-severe COVID-19 patients, with high levels of pro-inflammatory markers and pulmonary function worsening on best supportive care and Itolizumab were included in this analysis. Patients requiring invasive mechanical ventilation were excluded. Clinical parameters (oxygen requirement) and laboratory parameters (ferritin, interleukin [IL]-6, C-reactive protein [CRP] and absolute lymphocyte count [ALC]) were studied preand post-treatment. Average total length of stay in hospital and ICU, percentage of patients requiring ICU admission and average time taken for weaning off oxygen for all patients were also reported.
Results: All Patients were in the range of 30-78 years of age, with majority being male (76%). Most prevalent comorbid conditions were diabetes (64%) and hypertension (28%). Median IL-6 value showed a decline by 85.4%. Significant reduction in median CRP (86.96%) and Ferritin (55.61%) was observed post- Itolizumab compared to pre-dose values. Median ALC improved from 1605 cells/ mm3 (pre-dose) to 2462.5 cells/mm3 (post-dose). Average recovery time, defined as time from Itolizumab infusion to discharge was 9.28 ± 4.04 days. Average duration of hospitalization and ICU admission was 14.24 ± 4.15 and 8.27 ± 4.47 days, respectively, with 76% patients recovered and discharged. Median oxygen saturation improved from 88 % (pre-dose) to 96 % (post-dose). All patients were weaned off oxygen within Avg + SD : 6.53 ± 2.09 days post-Itolizumab treatment. One and two point reduction in ordinal scale was observed in 88% and 76% patients, respectively. Three patients (12%) did not show improvement in ordinal sore of which two patients died because of complications due to pre-existing comorbidities. The all-cause mortality of 8%; was considered not related to Itolizumab. One infusion related event reported abated with infusion period extension.
Interpretation And Conclusion: A single dose of Itolizumab accelerated recovery in adult patients with COVID-19 by controlling immune hyperactivation. The clinical improvement was demonstrated by reduction in inflammatory markers, weaning off oxygen, reduced length of hospital stay and improvement of ordinal score. Itolizumab was well tolerated and when administered in the early phase of the inflammatory cascade is an efficient therapeutic option for treatment of cytokine release syndrome in moderate to severe COVID-19 patients.
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Clinics (Sao Paulo)
January 2025
Department of Hematology, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, PR China. Electronic address:
Background: The common drugs used for the treatment of Newly Diagnosed Multiple Myeloma (NDMM) include bortezomib and lenalidomide, but the adverse effects of lenalidomide cannot be ignored, especially when it is used in the initial therapy.
Methods: This retrospective study evaluated the efficacy and safety of a modified DVD regimen (pegylated liposomal doxorubicin, bortezomib, and dexamethasone) followed by lenalidomide in the treatment of NDMM. A total of 40 NDMM patients were treated with a reduced dose of pegylated liposomal doxorubicin (20 mg/m) on day 1, subcutaneous bortezomib (1.
Clinics (Sao Paulo)
January 2025
Department of Otolaryngology and Head and Neck Surgery, The First Affiliated Hospital of Bengbu Medical College, Anhui Province, China. Electronic address:
Objective: TRIB3 has been confirmed to participate in and regulate biological metabolic activities in head and neck tumors such as nasopharyngeal carcinoma and oropharyngeal carcinoma, so the purpose of this study was to explore whether there is a correlation between TRIB3 and Laryngeal Squamous Cell Carcinoma (LSCC) and to preliminarily explore the biological characteristics of TRIB3 in LSCC.
Methods: TRIB3 expression in the LSCC was analyzed based on The Cancer Genome Atlas (TCGA) database. CCK-8 assay, Colony Formation Assay, wound healing assay, and Transwell assay were performed to investigate the roles of TRIB3 in the proliferation, invasion and metastasis of LSCC.
Ann Intern Med
January 2025
Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California (A.B., K.J.C., A.A.K.).
Background: Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG) differ in their effects on body weight and risk for reoperation. However, it is unclear whether long-term health expenditures differ by procedure type in patients with diabetes.
Objective: To compare health expenditures 3 years before and 5.
Ann Intern Med
January 2025
Renal-Electrolyte Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (M.C.-P., R.B.M., C.M.P.).
Background: Prior studies indicate that 1% to 4% of Epstein-Barr virus (EBV)-seronegative recipients of EBV-seropositive donor (EBV D+/R-) kidneys develop posttransplant lymphoproliferative disorder (PTLD). However, these estimates are based on limited data that lack granularity.
Objective: To determine the associations between pretransplant EBV D+/R- and recipient EBV-seropositive status (R+) and the outcomes of PTLD and graft and patient survival among adult kidney transplant recipients.
Ann Intern Med
January 2025
Clinical Epidemiology and Research Center (CERC), Department of Biomedical Sciences, Humanitas University, and IRCCS Humanitas Research Hospital, Milan, Italy, and Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany (H.J.S.).
Description: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as "systems that display intelligent behaviour by analysing their environment and taking actions-with some degree of autonomy-to achieve specific goals." Artificial intelligence has the potential to support guideline planning, development and adaptation, reporting, implementation, impact evaluation, certification, and appraisal of recommendations, which we will refer to as "guideline enterprise." Considering this potential, as well as the lack of guidance for the use of AI in guidelines, the Guidelines International Network (GIN) proposes a set of principles for the development and use of AI tools or processes to support the health guideline enterprise.
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