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The proceedings contain 109 papers. The topics discussed include: dose intensity of palbociclib and initial body weight dosage: implications on progression free survival in 220 patients with ER+/HER2-negative metastatic breast cancer;characteristics of Nirmatrelvir/Ritonavir (Paxlovid) recipients and clinical interventions by oncology pharmacists at a tertiary outpatient cancer center;safe handling of non-carcinogenic drugs in the Ghent University Hospital: development, implementation and communication of hospital-specific guidelines;case series: use of olaparib in uncommon locations in patients with impaired homologous recombination;real-world data evaluation of medicines used in special situations in oncohematology: a retrospective study from a comprehensive cancer institution;Dostarlimab in the treatment of recurrent endometrial cancer: real life experience;medication-related osteonecrosis of the jaws and CDK4/6 inhibitors in breast cancer;and efficacy and safety outcomes of generic imatinib in adults with chronic myeloid leukemia (CML) following the switch from branded imatinib.
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Introduction: Following the lifting of generalised restrictions and universal masking, severe acute respiratory syndrome coronavirus 2 (SARS-CoV- 2)- infected patients, especially the clinically extremely vulnerable (CEV) haematology patients, are at an increased risk for other respiratory viral coinfections;therefore, physicians need to be cognizant about excluding other treatable respiratory pathogens. Here, we report coinfection with SARS-CoV- 2 and other respiratory pathogens in patients with haematological cancers presenting to a large tertiary care hospital. Method(s): From July 2022-December 2022, patients with haematological disorders were screened for SARS-CoV- 2 and other 10 common respiratory pathogens by PCR. We performed a retrospective analysis of patients with concurrent respiratory viruses and will prospectively evaluate the same from Jan 2023 to March 2023. Result(s): During this period a total of 322 inpatients had routine screening and additional 6213 swabs were done in the outpatient/ambulatory setting, of which 294 were positive in 221 patients. We excluded all patients who had a single positive PCR swab result and specifically analysed only patients with coinfections. We identified 30 patients (14%) who had respiratory coinfections with 73 viral infections/reactivations over 6 months period, which represented 25% of all positive swabs: 25 inpatients (19 symptomatic/6 asymptomatic) and 48 in outpatients (32 symptomatic/16 asymptomatic). The median age of the cohort was 47.3 years (21-77). Patients were post allograft (n = 15), autograft (n = 7), post CART (n = 5) and postchemotherapy (n = 4). Of the 30 cases, 13 patients had concurrent infections: 5 SARS-CoV2, 10 Respiratory syncytial virus (RSV), 7 Rhino and 4 Influenza A, with all patients having dual viral infection. The remaining 17 patients had multiple viral infections but separated by a median of 54 days (range 27-137 days): 16 SARS-CoV2, 5 RSV, 6 Rhino, 2 Parainfluenza, 2 Adeno and one each of Influenza A, Influenza B, and metapneumovirus. Of the treatable infections (n = 46), 22% were detected on routine asymptomatic swabbing, with 50% of SARS-CoV2 detected on routine swabs. All 8 patients with Influenza were treated with oseltamivir, of 16 RSV cases one was treated with oral ribavirin and of the 22 SARS-CoV2 patients, 5 were treated (4 Paxlovid and 1 Remdesivir). No patients needed intensive care support and no deaths were reported. Conclusion(s): The burden of respiratory coinfections in CEV cohort has a significant impact on respiratory isolation and management, including appropriate & timely initiation of therapy for treatable viral infections. Although mortality was not increased secondary to respiratory coinfections and none needed intensive care, larger prospective cohorts are needed to assess the exact impact.
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Background: COVID-19 pandemic still pose a substantial threat worldwide despite increasing vaccine availability. Patients with haematological malignancies have been shown to have increased risk of contracting COVID-19 and are more susceptible to develop severe illness from SARS-CoV- 2 infection. The immune response to vaccines is impaired in patients with haematological malignancy due to underlying disease or antineoplastic therapies. The monoclonal-antibody combination, Evusheld is composed of tixagevimab and cilgavimab, two neutralising antibodies against SARS-CoV- 2. It has been shown to be safe and have efficacy for the prevention of COVID-19. Our aim of study is to describe the incidence and outcome of breakthrough COVID-19 infection among patients who received Evusheld in our centre and analyse the factors that possibly increase the risk of breakthrough infection. Material(s) and Method(s): A retrospective review of all adult patients with haematological malignancy who received tixagevimab/ cilgavimab 150/150 mg injection in Hospital Pulau Pinang from 1 July 2022 to 31 August 2022 with a follow-up period to 30 November 2022 was conducted. Demographic data, clinical characteristics and outcome will be retrieved from patient's medical records. Data were analysed using Statistical Package for Social Sciences software (version 21.0). Result(s): A total of 96 patients (50 males and 46 females) received tixagevimab/cilgavimab injection during the study period with a median age of 61 years (range 19-82). Majority of them were diagnosed with multiple myeloma (42.7%), followed by lymphoma (33.3%) and leukaemia (24%). One third of them had history of therapy with monoclonal antibody and 20% had haematopoietic stem cell transplantation. No major adverse effects of tixagevimab/cilgavimab injection were noted among the study population. Of the 12 patients (12.5%) who had COVID-19 infection, all of them had mild infection;three were asymptomatic and six patients received Paxlovid antiviral therapy. The median time from tixagevimab/cilgavimab to the onset of COVID-19 infection was 35 days (range 5-97 days). The mean age of patients with breakthrough COVID-19 infection were older compared to those without breakthrough infection but was not statistically significant. The incidence of breakthrough COVID-19 infection was not affected by type of haematological malignancy, history of monoclonal antibody therapy or COVID-19 vaccination. Discussion and Conclusion(s): Our findings showed that tixagevimab/cilgavimab was safe and effective in preventing COVID-19- related morbidity and mortality among patients with haematological malignancy during the study period. However, the limitation is the lack of access to whole genome sequencing for detection of resistant variants for breakthrough infections.
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Currently, 640 million cases of coronavirus disease 2019 (COVID-19) and 6.6 million deaths have been reported world-wide. Risk factors for severe COVID-19 are known, including those with compromised immunity. Among patients with inborn errors of immunity (IEI), early reports of severe outcomes lead to strict masking and social distancing measures. While this resulted in relatively low infection rates among those with IEI, real-world data describing the clinical course of COVID-19 in this patient population have remained limited. We performed a retrospective study of adult IEI patients followed by our center in which a positive test (rapid antigen or PCR) for COVID-19 was determined between November 2021-November 2022. Medical charts were reviewed, and patient interviews conducted. All patients provided informed consent. Twenty-nine patients were enrolled (22 females, 7 males), aged between 18-69 years (median: 20-29 years). The cohort included those with antibody deficiencies (41.37%), combined immunodeficiencies (34.48%;HIES, CARD11, STAT1-GOF), immune dysregulation disorders (20.69%;LRBA deficiency, AIRE deficiency) and phagocyte defect (3.45%;CGD). The duration of symptoms ranged between 3 days-4 weeks (median: < 1 week). Upper respiratory symptoms (including sore throat, congestion) were reported in 97% while fever was present in 41% of patients. Prior to infection, 14 (48%) patients had underlying asthma or bronchiectasis - 2 subsequently experienced shortness of breath and were treated with inhalers or Sotrovimab, respectively. No treatment was required in 65.5% of cases. The remaining received Paxlovid (10.3%), Sotrovimab (13.79%), or antibiotics (10.3%). Of the 2 patients with STAT1-GOF, one tested positive during a repeat episode of febrile neutropenia which required hospitalization. No other patients were hospitalized or needed ICU admission. No deaths were recorded. In light of these favourable outcomes, patients with IEI can gradually and safely return to normal activities.Copyright © 2023 Elsevier Inc.
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Objectives: Various interventions were used to control the COVID-19 pandemic and protect population health, including vaccination, medication and nonpharmaceutical interventions (NPIs). This study aims to examine the cost-effectiveness of different combinations of NPIs (including social distancing, mask wearing, tracing-testing-isolation, mass testing, and lockdown), oral medicine (Paxlovid), and vaccination (including two-dose and three-dose vaccination) under the Delta and Omicron pandemic in China. Method(s): We constructed a Markov model using a SIRI structure with a one-week cycle length over one-year time horizon to estimate the cost-effectiveness of different combinations in China from societal perspective. Effectiveness of interventions, disease transition probabilities and costs were from published data, quality-adjusted life years (QALYs) gained and incremental cost-effectiveness ratios (ICER) and net monetary benefits were calculated for one-year time horizon. One-way and probabilistic sensitivity analyses were performed to test the robustness of the model. Scenario analysis was developed to examine different situations under the Omicron pandemic. Result(s): Under the Delta pandemic, implementing the combination of social distancing, mask wearing, mass testing and three-dose vaccination was the optimal strategy, with cost at $11165635.33 and utility of 94309.94 QALYs, and had 60% probability of being cost-effective compared with other strategies. Three-dose vaccination combinations were better than two-dose combinations. Under the Omicron pandemic, antigen testing was better than nucleic testing by avoiding cross infections;second, adding Paxlovid or lockdown to the combined intervention strategies could increase limited health outcomes at huge cost and thus were not cost-effective;last, encouraging patients to stay at home can save societal costs compared with concentrated quarantine at hospitals. Conclusion(s): Three-dose vaccination and self-quarantine of asymptomatic and mild cases can save total costs. Under the Omicron pandemic outbreak, antigen testing is a better way to control the pandemic, and adding Paxlovid or lockdown to intervention combinations is not cost-effective.Copyright © 2023
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Background: The US Food and Drug Administration under an Emergency Use Authorization approved use of Paxlovid (nirmatrelavir and ritonavir) for the treatment of mild-to-moderate COVID-19 in adults and children with a positive test for SARS-Co-2 and who are at high risk for progression to severe COVID-19. Pregnant women are at increased risk of severe complications resulting from COVID-19 infection;however, minimal data on the safety of Paxlovid in human pregnancy are available. Objective(s): The objectives of this study are to assess risks of major congenital malformations, spontaneous abortion, elective termination, stillbirth, preterm delivery, small for gestational age infants at birth, or infants who were small for age at one year in pregnancies/infants prenatally exposed to Paxlovid in pregnancy compared to individuals who did not receive this treatment. Design(s): This study involves prospective data from the Organization of Teratology Information Specialists (OTIS) Pregnancy Registry which enrolls pregnant women residing in the US or Canada and captures data through maternal interviews and ion of medical records. Result(s): Among pregnant women participating in the OTIS Pregnancy Registry as of February 1, 2023, 59 reported exposure to Paxlovid in pregnancy;25.4% exposed within 30 days prior to the last menstrual period and through the first trimester, 42.4% exposed in second trimester, and 32.2% exposed in the third trimester. As of January 2023, 17 of those enrolled have completed pregnancy outcomes. One was lost to follow-up. Of the remainder, there were no adverse pregnancy outcomes reported. Conclusion(s): Very limited data are available on this potentially beneficial treatment in pregnancy. To date, no serious signals for this exposure have been detected.
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The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant has recently emerged and spread globally. An outbreak of coronavirus disease 2019 (COVID-19) caused by the Delta variant occurred in Southern Taiwan in June 2021 and has been eliminated [1]. However, in April 2022, there was an outbreak of the Omicron variant in Taiwan. Fifteen patients with Omicron variant were admitted to our hospital from April 26 to May 1, 2022. We compared the clinical characteristics of the patients with the Delta variant in June 2021 and the Omicron variant in April 2022 (Table 1). These laboratory data were the first laboratory data at admission, and no anti-COVID-19 therapy was prescribed before these data. There were no differences in age (59.9 vs. 57.1 years, P = 0.96), male gender (63.6 vs. 60.0%, P = 1.00), diabetes ratio (27.3 vs. 35.7%, P = 1.00), body mass index (25.0 vs. 26.0 kg/m2, P = 1.00), pneumonia ratio (18.2 vs. 40.0%, P = 0.40) between the Delta and Omicron variants. There were also no differences in serum levels of aspartate aminotransferase (AST) (40.1 vs. 25.8 IU/L, P = 0.24) and alanine aminotransferase (ALT) (26.3 vs. 27.2 IU/L, P = 0.64) between the two groups. All the patients with the Omicron variant were symptomatic. The most common symptoms were upper respiratory tract infections (60.0%) (Supplementary Table 1). Six patients developed pneumonia without mechanical ventilator support requirement during admission (40.0%). Remdesivir, Paxlovid, or Molnupiravir were prescribed to patients according to their clinical conditions. Among the patients with the Omicron variant, nine (60.0%) had past medical history of diabetes, four (26.7%) had hypertension, three had chronic kidney disease (20.0%), and three had malignancy history (20.0%). COVID-19 might cause liver injury and lead to a more unfavorable prognosis [2]. In this study, about one-fifth of the patients suffered from liver injury, which was similar to previous studies [3]. There was no difference in liver injury between the Delta and Omicron variants in our study, which echoes previous research [4]. COVID-19 vaccination might protect against symptomatic diseases caused by the Omicron variant [5]. Vaccination rates have increased since 2021. In the study, over ninety percent of the patients have received at least two doses of vaccination. In conclusion, we demonstrated no difference in liver injury ratio between the Delta and Omicron variants. To our knowledge, this is the first report that compares the Delta and Omicron variants in Taiwan.
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Background and Aims: The treatment of chronic hepatitis C (CHC) has evolved from genotype-specific to pan-genotypic direct acting antivirals (DAAs) with high efficacy and safety. However, drug-drug interactions (DDIs) must be avoided when used in combination with other medications, especially with the possible concomitant use of COVID-19 infection antivirals during the COVID-19 pandemic. This study aimed to access the potential DDIs of concomitant drugs with pan-genotypic DAAs and COVID-19 infection antivirals, and actual incidence of DDIs in real-world experience. Method(s): From January 2022 to October 2022, consecutive 116 HCV patients receiving pan-genotypic DAAs were retrospectively enrolled in Taipei Veterans General Hospital. The number of comedications and their potential DDIs with three pan-genotypic DAA regimens and three COVID-19 infection antivirals were analyzed. The actual incidence of DDIs during DAAs treatment were also investigated. Result(s): The mean age was 60.9 years old, with male predominant (55.2%). Of them, 12 (10.3%) patients had cirrhosis, and 24 (20.7%) patients had diabetes mellitus. Most patients were within Child-Pugh class A (109/116, 94.0%). The distribution of HCV genotypes was 8.6% in GT 1a, 36.2% in GT 1b, 39.7% in GT 2, 6.9% in GT 6, and 8.6% in indeterminate genotype, respectively. Of them, 43 (37.1%) patients received GLE/PIB, 69 (59.5%) received SOF/VEL 7plusmn;RBV, and 4 (3.4%) received SOF/VEL/VOX as DAAs regimen. Noteworthy, four patients had COVID-19 infection during DAAs treatment course. The rates of ETVR and SVR12 were 97.6% and 95.3%. The mean number of concomitant medications was 2.01. The distribution of concomitant drugs was 64.7% with no concomitant drug, 11.2% with 1-3 drugs, 11.2% with 4-6 drugs, 9.5% with 7-9 drugs, and 3.4% had more than 9 drugs, respectively. In potential contraindicated (red) DDI class, GLE/PIB was the most prevalent (7.3%), followed by SOF/VEL/VOX (6.4%), and SOF/VEL (1.8%) for non-cirrhosis and compensated cirrhosis patients;and no red DDI occurred in decompensated cirrhosis patients. In addition, the percentage of patients without potential DDIs was higher with SOF/VEL (79.8%) than with the other regimens. The potential red DDIs were predominantly with lipid-lowering agents for DAAs. For potential red DDI class with COVID-19 infection antivirals, Nirmatrelvir/Ritonavir was the most prevalent (6%), followed by Remdesivir (0.9%), and no potential DDIs with Molnupiravir. For COVID-19 antivirals, the potential red DDIs was mainly with central nervous system drugs. Finally, the actual incidence of DDIs during DAAs treatment showed no red DDI occurred for all patients, and GLE/PIB was the most prevalent (93%) of no potential DDIs. Conclusion(s): The potential DDIs between these comedications differed, with the most potential DDIs occurring with GLE/PIB and Nirmatrelvir/Ritonavir. After careful assessment of comedications and their potential DDIs, the actual incidence of DDIs could be reduced, and optimize safety in real-world practice.
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Introduction: Nirmatrelvir/ritonavir is a new medication approved for the treatment of COVID-19 infection. It prevents viral replication by inhibiting the SARS-CoV-2 main protease. While mild adverse effects were described, including dysgeusia, diarrhea, hypertension and myalgia1, there were no reported cases of pancreatitis. Case Description/Methods: An 81-year-old female with a past medical history of hypertension and COPD presented to the hospital complaining of abdominal pain and nausea for one day. She had no history of alcohol, tobacco or marijuana use, recent travel, or trauma. Her medications included lisinopril and prednisone, and she had completed a 5-day course of nirmatrelvir/ritonavir for the treatment of COVID-19 infection 2 days prior to presentation. On abdominal exam, she had left upper and lower quadrant tenderness. Blood tests revealed an amylase of 1333 U/L, lipase of 3779 U/L, triglycerides of 297 mg/dL and calcium of 8.7 mg/dL. CT scan revealed an indurated pancreatic body and tail with peripancreatic fluid along the paracolic gutter. Ultrasound of the abdomen and MRCP did not reveal any acute findings. IgG subclasses 1-4 were normal. Discussion(s): According to the revised Atlanta criteria, the patient had clinical findings consistent with acute pancreatitis. Common causes such as gallstone, alcohol, autoimmune and hypertriglyceridemiainduced pancreatitis were ruled out. There were no masses or structural abnormalities on imaging that might have explained her diagnosis. There have been at least 2 reported cases of lisinopril and prednisone induced pancreatitis, however according to Badalov et al.2 both of these medications are class III drugs that lack any rechallenge in the literature. Moreover, the patient had been taking these medications for many years, making them an unlikely cause of the presenting diagnosis. There are no reports of nirmatrelvir/ritonavir associated pancreatitis or known pharmacologic interaction with her home medications, and a meta-analysis conducted by Babajide et al. revealed no association between acute pancreatitis and COVID-19 infection (3). Given the negative findings stated above and the recent initiation of a new medication, nirmatrelvir/ritonavir was the likely cause of acute pancreatitis.
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Background: An emerging finding about COVID-19 is its effect on nutrition and weight loss. The COVID-19 symptoms of fatigue, altered taste or smell, and lack of appetite are well known. But COVID-19 may have a more profound effect on clinical nutrition status. Two recent studies have identified that approximately one-third of ambulatory COVID-19 patients are at risk of experiencing weight loss >= 5% (Anker, et al;di Filippo, et al). The case study presented here discusses home start total parenteral nutrition (TPN) in a patient recently diagnosed with COVID-19 at high risk for refeeding syndrome. Method(s): N/A Results: Case Study: A 92-year-old patient was diagnosed with COVID-19 on June 8, 2022. Over the next week, she was hospitalized twice to manage symptoms of acute mental status changes, lethargy, aphasia, hypotension, and loss of appetite. The patient received nirmatrelvir/ritonavir, remdesivir, and bebtelovimab to treat COVID-19 at different times between June 9, 2022, and June 18, 2022. She remained COVID positive and continued to deteriorate clinically. On June 20, 2022, the patient began receiving 24/7 homecare, including intravenous (IV) fluids of dextrose 5% in normal saline (D5NS) 1000 mL daily for three days. She continued to experience loss of appetite and had no bowel movement for 3 days. On June 23, 2022, she was referred to this specialty infusion provider to initiate TPN therapy in the home setting. The patient's BMI was 18.2 kg/m2. Lab results revealed potassium 3.0 mmol/L, phosphate 1.6 mg/dL, and magnesium 1.6 mg/dL. High risk of refeeding syndrome was identified by the level of hypophosphatemia and hypokalemia. The specialty infusion provider's registered dietitian recommended to discontinue D5NS and begin NS with added potassium, phosphate, and magnesium. Thiamine 200mg daily was added to prevent Wernicke's encephalopathy. The patient's clinical status and lab values were monitored closely each day until her electrolyte levels stabilized (Table 1). Home TPN therapy was initiated on June 28, 2022, with <10% dextrose and 50% calorie requirement with 85% protein and 1.0 g/kg lipids. Three-day calorie count and nutrition education were performed four days post TPN initiation. Oral intake met only 25% of estimated needs. Over several days, theTPN formula was gradually increased to goal calories and the infusion cycle was slowly decreased. The following week, the patient's oral intake improved to 60%-75% of estimated needs. Her constipation resolved, and she showed improvement in functional status and mobility. Her appetite drastically improved when the TPN was cycled. Another three-day calorie count was performed when TPN calories reached goals. Oral intake demonstrated 100% estimated calorie and protein needs. TPN therapy was ultimately discontinued on July 14, 2022. As of September 30, 2022, the patient has stabilized at her pre-COVID weight of 45 kg with full recovery of appetite, function, and cognition. Discussion(s): The ASPEN Consensus Recommendations for Refeeding Syndrome (da Silva, et al) describe the repletion of electrolyte levels before introducing calories to prevent end-organ damage associated with refeeding syndrome (respiratory muscle dysfunction, decreased cardiac contractility, cardiac arrhythmias, and encephalopathy). Conclusion(s): This case study highlights the successful initiation of home TPN therapy in a patient at high risk of refeeding syndrome post COVID-19 infection. Although home start TPN and the risk of refeeding syndrome are not new concepts, they must be considered in the setting of COVID-19. Given the effects COVID-19 has on taste, smell, and appetite and the recent finding that one-third of patients with COVID infection may experience weight loss of >= 5%, nutrition support and patient education are vital components of overall patient care. (Figure Presented).
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Introduction: Pancreatitis is a very common gastrointestinal disease that results in hospital admission. Early detection and treatment leads to better outcomes. This is the first reported case of pancreatitis secondary to elevated tacrolimus in a patient with prior renal transplantation after receiving Paxlovid for a COVID-19 infection. Case Description/Methods: A 57-year-old male with past medical history of 4 renal transplants secondary to posterior urethral valves who presented to the emergency room with acute onset epigastric pain for 24 hours. He was on tacrolimus 5 mg every 48 hours monotherapy for his immunosuppression. 10 days prior to his presentation he had developed chills and anxiety. He tested positive for COVID-19 at that time on a home rapid test. His symptoms had not significantly improved and given his immunosuppressed state he was given Paxlovid (Nirmatrelvir/ritonavir). He took 2 days of Paxlovid, however after his second day of treatment he developed severe epigastric pain requiring him to go to the emergency room. On admission his labs were notable for a lipase of 150 U/L (ULN 63 U/L). He underwent a CT scan was notable for an enlarged pancreatic head and neck with peripancreatic fat stranding (Figure). He also had a right upper quadrant ultrasound without any cholelithiasis and only trace sludge noted. His creatinine was noted to be 1.81 mg/dl which was above his baseline of 1.2 mg/dl. His tacrolimus trough level resulted at a level 45.6 ng/ml and later peaked at 82.2 ng/ml. His liver enzymes were normal. He was treated as acute pancreatitis with hydration and his tacrolimus was held with overall clinical improvement. Discussion(s): Tacrolimus is one of the most common medications used in solid organ transplantation. It is a calcineurin inhibitor that inhibits both T-lymphocyte signal transduction and IL-2 transcription. It is metabolized by the protein CYP3A and levels are monitored closely. Paxlovid is currently prescribed as an antiviral therapy for COVID-19 infection. The ritonavir compound in Paxlovid is potent inhibitor of CYP3A. Currently the guidelines do not recommend Paxlvoid as a therapeutic in patients taking tacrolimus as there is concern about increased drug levels. There have been several case reports of pancreatitis in setting of tacrolimus. This case report helps to demonstrate the need for close monitoring of therapeutics levels, especially in medications with high risk of drug to drug interaction to help prevent serious side effects such as tacrolimus induced pancreatitis.
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Background: A need exists for safe, affordable, and effective antiviral treatments for less severe COVID-19 outpatients that can prevent infection progression, hospitalization, and death;shorten the time to clinical recovery;and reduce transmission. In our best knowledge, there are not, so far, costeffectiveness analysis on oral antiviral COVID-19 drugs in Spain. In our study we aim to evaluate cost-effectiveness of oral nirmatrelvir plus ritonavir in COVID-19 mild to moderate outpatients with at least one risk factor for disease progression in Spain. Method(s): A simulation model was constructed in R, to assess the clinical consequences and costs associated with COVID-19 in a hypothetical cohort of non-hospitalized patients older than 65 years with mild-to-moderate COVID and at least one risk factor for progression in Spain. The intervention assessed was nirmatrelvir plus ritonavir 300 mg plus 100mg every 12 hours up to 5 days. The comparator was symptomatic treatment with no antiviral drugs against SARSCoV- 2. The study was contextualized in the Spanish National Health System and the perspective of the service provider was adopted. Quality of life adjusted life years (QALYs) was used as a measure of effectiveness. Drug effectiveness was obtained from a literature review. As a cost measure, the retail price of the drugs was used. As a threshold willing to pay, the Spanish Gross National Product per capita was used. A discount of 3% per year was applied on future health effects. We used a decisional tree model. A univariate sensitivity analysis and probabilistic sensitivity analysis was performed. Result(s): We found that nirmatrelvir/ritonavir yielded an extra 620.89 QALYs compared to a baseline scenario without it, at an increase in cost of 89,630,442 with an Incremental cost-effectiveness ratio of 144,356.4 /QALY gained. One way sensitivity analysis and probabilistic sensitivity analysis using Monte-Carlo simulations were undertaken and showed that the probability of not being costeffective was 1 at the current price and willingness to pay threshold. To meet our willingness to pay threshold, nirmatrelvir plus ritonavir 5-days treatment price should be lowered down to 70 . Conclusion(s): According to our analysis nirmatrelvir/ritonavir is not costeffective in in the Spanish National Health System for outpatients older than 65 years with at least one risk factor for COVID progression. A drug price of 70 per treatment would meet our willingness to pay threshold.
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Background: COVID-19 vaccine booster uptake remains low and preventable COVID-19 deaths continue to occur, making access to oral antivirals for those most at risk of severe COVID-19 outcomes essential. Method(s): We estimated age and gender adjusted prevalence ratios of oral nirmatrelvir-ritonavir (NMV/r) uptake by sociodemographics, clinical characteristics, and prescription eligibility (based on age, underlying medical conditions, body mass index, physical inactivity, pregnancy, or smokers), among participants in a large U.S. national prospective cohort who were infected with SARS-CoV-2 between December 2021 and October 2022. Among participants who reported NMV/r uptake, we also described the proportion who reported (1) taking NMV/r as directed and (2) NMV/r was helpful for reducing COVID-19 symptoms. Result(s): Among 1,594 participants with a SARS-CoV-2 infection as of October 2022, 1,356 were eligible for NMV/r prescription;of whom 209 (15.4% [95%CI:13.5-17.3]) reported receiving NMV/r. NMV/r uptake increased from 2.2% (95%CI:1.0-3.4) between December 2021 and March 2022 to 16.5% (95% CI:13.0-20.0) between April and July 2022 and 28.6% (95%CI:24.4-32.8) between August and October 2022, respectively. Participants >=65 years of age reported the highest uptake of NMV/r (30.2% [95%CI:22.2-38.2]). Black non-Hispanic participants (7.2% [95%CI:2.4-12.0]) and those in the lowest income group (10.6% [95%CI:7.3-13.8]) had lower uptake than white non-Hispanic (15.8% [95%CI:13.6-18.0]) and high-income individuals (18.4% [95%CI:15.2-21.7]), respectively. Participants with type 2 diabetes had greater uptake (28.8% [95%CI:20.4-37.3]), compared to those without it (12.4% [95%CI:4.8-20.0]). Among a subset of 278 participants who had a prior SARSCoV-2 infection, those who had a history of long COVID reported greater uptake (22.0% [95%CI:13.9-30.1]) for a subsequent SARS-CoV-2 infection than those without a history of long COVID (7.9% [95%CI:3.9-11.8]). Among all participants who were prescribed NMV/r (N=216), 89% (95%CI:85-93) reported that they took NMV/r as directed and 63% (95%CI:57-70) stated NMV/r was helpful for reducing COVID-19 symptoms. Conclusion(s): Uptake of NMV/r increased over time coinciding with national efforts to increase awareness and access. However, most individuals who were eligible for NMV/r did not receive it. Lower NMV/r uptake among racial/ethnic minorities and individuals with lower household income suggests a need to improve awareness and address barriers to uptake in these populations.
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Background: A 5-day course of nirmatrelvir-ritonavir (N/R) can significantly reduce the hospitalization and death rates and the duration of infectiousness in high-risk SARS-CoV-2 patients. However, in a fraction of treated individuals virus rebounds following an initial recovery after treatment. The mechanism driving rebound is not well understood. We hypothesize that treatment with N/R near the time of symptom onset halts the depletion of target cells, but does not fully eliminate the virus, and thus can lead to viral rebound. Method(s): Previously, we and others have developed viral dynamic models and successfully used them to fit data on SARS-CoV-2 infection. Here we expand these models and incorporate N/R pharmacokinetic and pharmacodynamic effects and an adaptive immune response. Result(s): We fit this model to the data presented in Charness et al., NEJM (2022) where longitudinal quantitative PCR data is available for 3 individuals who experienced viral rebounds after taking N/R. We found that the model fit the data well. By varying model parameters from their best-fit values, we show the occurrence of viral rebound is sensitive to model parameters, and the time treatment is initiated, which may explain why only a fraction of individuals rebound. Finally, the model with its best-fit parameter values was used to test the therapeutic effects of treatment extended to 10 days or a second 5-day course of N/R initiated one day after symptoms reoccur. Conclusion(s): Our model fits predicted that virus is not fully eliminated during N/R treatment and supported our initial hypothesis that at the end of treatment target cells are available to allow viral resurgence. Simulating the effect of starting treatment later, we find the probability of viral rebound occurring decreases, suggesting that delaying treatment may be a strategy to reduce viral rebound. However, N/R treatment accelerates viral clearance and hence potentially can reduce viral transmission. Thus, delaying treatment may have a detrimental effect on public health and could also have impact on the severity of disease in the high-risk patients for whom N/R is recommended. Increasing treatment from 5 to 10 days continues to preserve target cells and thus may still allow viral rebound if viable virus is present at the end of treatment and sufficient adaptive immunity has not developed. Simulating giving a second course of treatment one day after symptoms reappear, did not prevent rebound.
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Background: Omicron subvariants questioned the efficacy of the approved therapies for the early COVID-19. In vitro data show that remdesivir (RDV), molnupiravir (MLN), and nirmatrelvir/ritonavir (NMV/r) all retained activity against all sub-lineages, while poor neutralizing activity was observed for Sotrovimab (SOT) and Tixagevimab/cilgavimab (TIX/CIL). No data about the risk of clinical failure or even in vivo antiviral activity are available. Method(s): Single-center observational comparison study enrolling all consecutive patients (pts) seen for care with a confirmed SARS-CoV-2 Omicron diagnosis and who met the AIFA criteria for eligibility for treatment with RDV, MLN, NMV/r, TIX/CIL, or SOT. Treatment allocation was subject to drug availability, time from symptoms onset, and comorbidities. Nasopharyngeal swab (NPS) VL was measured on day 1 (D1) and D7 and was expressed by log2 cycle threshold (CT) scale. Comparisons between treatment groups were made by Chi-square, and Wilcoxon paired tests. Primary endpoint was D1-D7 VL variation. Potential decrease in VL and average treatment effect (ATE) were calculated from fitting marginal linear regression models weighted for calendar month of drug initiation, duration of symptoms, and immunodeficiency using NMV/r as the comparator trial arm. Result(s): A total of 971 pts received treatments (SOT 321, MLN 231, NMV/r 211, TIX/CIL 70, and RDV 138): female 457 (47%), median age 67 yrs (IQR 56-78), 93% vaccinated;12% with negative baseline serology. At D1, median time from symptoms onset was 3 days (IQR 2,4). 379 (39%) pts were infected with BA.1, 215 (22%) with BA.2, 372 with BA.4/5 (38%), and 5 with BQ.1 (0,5%). D1 mean viral load was 4.02 log2. Adjusted analysis (ATE) showed that NMV/r significantly reduced VL compared to all the other drugs in pts infected with all sublineages, (Fig.1A-B) while less evidence for a difference vs. TIX/CIL was seen in those infected with BA.2 (p=0.05) (Fig.1 C-D). Conclusion(s): In this analysis of in vivo early VL reductions, NMV/r appears to be the drug showing the greatest antiviral activity, regardless of the underlying subvariant, perhaps with the exception of TIX/CIL in people infected with BA.2 for which there was less evidence for a difference. In the Omicron era, due to the high prevalence of vaccinated people and in absence of clinical events, VL is one of the possible alternative endpoints which guarantees adequate statistical power. Fig 1 SARS-CoV-2 RNA levels at D1 and D7 in patients treated with Nirmatrelvir/ ritonavir, Sotrovimab, Molnupiravir, Remdesivir, and Tixagevimab/cilgavimab. Dot-plots showing the comparison of viral loads detected at D1 and D7 and the variation of RNA levels observed between the two time-points by intervention in (A) all patients treated with Nirmatrelvir/ritonavir (n=211), Sotrovimab (n=321), or Molnupiravir (n=231), or Remdesivir (n=138), or Tixagevimab/ cilgavimab (n=136);(C) patients with Omicron BA.2 infection treated with Nirmatrelvir/ritonavir (n=58), Sotrovimab (n=81), or Molnupiravir (n=21), or Remdesivir (n=37), or Tixagevimab/cilgavimab (n=18);(D) patients with Omicron BA.4/5 infection treated with Nirmatrelvir/ritonavir (n=102), Sotrovimab (n=92), or Molnupiravir (n=110), or Remdesivir (n=16), or Tixagevimab/cilgavimab (n=52). Viral RNA levels are expressed as log2 CT values. The horizontal dashed line represents the limit of detection (CT: 40.0), values >=40 are considered negative. Mean of log2 CT values, and SD are shown in the graph. Statistical analysis of the differences in viral loads by intervention as compared to Nirmatrelvir/ritonavir was performed by Mann-Whitney test. Potential decrease in VL and average treatment effect (ATE) were calculated from fitting marginal linear regression models weighted for calendar month of drug initiation, duration of symptoms, and immunodeficiency using NMV/r as the comparator trial arm. Results are shown (B) for patients infected with all Omicron sublineages and (D) for those infected with Omicron BA.2 sublineage.
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Background: Nirmatrelvir/ritonavir (NMV/r), a preferred antiviral for high-risk outpatients with COVID-19, is associated with major drug-drug interactions (DDIs). Given the lack of DDI data with short course ritonavir (RTV), initial NMV/r product information was extrapolated from chronic, full dose RTV use. In Jan 2022, DDI experts from the University of Liverpool (UoL), NIH COVID-19 Guidelines Panel, and Ontario Science Table (OST) contributors established a global collaboration to address DDI challenges limiting NMV/r use in real-life settings. We report how safe, pragmatic, and consistent resources were developed to support NMV/r prescribing, and the utilization of these resources globally. Method(s): The 3 teams met monthly to discuss DDIs, review NMV/r DDI literature, and achieve consensus on recommendations. Additional experts were invited as needed. Metrics from the UoL DDI checker guided review of most searched DDIs overall and by severity. 2022 usage metrics for each DDI guide were collected. Differences in recommendations between initial DDI guides and product information were compared. Result(s): In 2022, 12 meetings were convened. Each team's DDI guide was revised and expanded (Table 1). To factor in the lower RTV dose and shorter treatment duration, some recommendations differed from product information. Drug categories that required the most discussion and revision included: anticoagulants (ACs), immunosuppressants, calcium channel blockers. NMV/r accounted for 85% of queries on the UoL site. NMV/r DDI guidance was the most viewed page of the NIH guidelines and among the OST ID/clinical care Science Briefs. Top searched drugs on the UoL site with serious DDIs were certain ACs and statins. Utilization of DDI guides was not limited to in-country resources: 51% and 7% of UoL queries came from the USA and Canada, respectively. NIH users followed links to the UoL and OST sites 161,478 and 37,619 times, respectively. Conclusion(s): Significant efforts have been made by the 3 teams to provide upto-date, complementary DDI guidance. Usage metrics confirm the demand for DDI guidance during the pandemic. Cross-utilization of the DDI guides confirms the need for consistency. DDI recommendations were more permissive than initial product information, expanding clinicians' ability to prescribe NMV/r. DDI guidance for ACs and immunosuppressants was particularly challenging. During drug development, complex interactions likely to be encountered in target populations should be addressed.
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Background: Given effectiveness of SARS-CoV-2 vaccines and outpatient antiviral and monoclonal antibody therapy for reducing progression to severe COVID-19, we sought to estimate the impact of these interventions on risk of hospitalization following SARS-CoV-2 infection in a large US healthcare system. Method(s): All patients >=18 of age in the UNC Health system, with first positive SARS-CoV-2 RT-PCR test or U07.1 ICD-10-CM (diagnosis date) during 07/01/2021- 05/31/2022, were included. The outcome was first hospitalization with U07.1 ICD-10-CM primary diagnosis <=14 days after SARS-CoV-2 diagnosis date. SARS-CoV-2 vaccinations were included if received >=14 days prior to diagnosis. Outpatient therapies were included if administered after diagnosis date and before hospital admission. Age, gender, race, ethnicity, and comorbidities associated with COVID-19 (using ICD-10-CM, if documented >=14 days prior to diagnosis date) were also evaluated. Risk ratios for hospitalization were estimated using generalized linear models, and predictors identified using extreme gradient boosting using feature influence with Shapley additive explanations algorithm. Result(s): The study population included 54,886 patients, 41% men and 27% >=60 years of age. One-third of SARS-CoV-2 diagnoses occurred July-December 2021 and 67% December-May 2022 (predominantly Delta and Omicron variants, respectively). Overall 7.0% of patients were hospitalized for COVID-19, with median hospitalization stay of 5 days (IQR: 3-9). 32% and 12% of patients received >=1 SARS-CoV-2 vaccine dose and outpatient therapy, respectively. Unadjusted and age-adjusted hospitalization risk decreased with vaccination and outpatient therapy (TABLE). Comparing patients who received 3 vaccine doses versus none we observed a 66% relative reduction in risk, with stronger association for more recent vaccination. For patients who received nirmatrelvir/ ritonavir versus no therapy we observed a 99% relative reduction in risk. In predictive models, older age was the most influential predictor of being hospitalized with COVID-19, while vaccination and outpatient therapy were the most influential factors predicting non-hospitalization. Conclusion(s): The impact of recent SARS-CoV-2 vaccination and outpatient antiviral and monoclonal antibody therapy on reducing COVID-19 hospitalization risk was striking in this large healthcare system covering Delta and Omicron variant timeframes. SARS-CoV-2 vaccinations and outpatient therapeutics are critical for preventing severe COVID-19. Unadjusted and age-adjusted risk ratios for hospitalization among patients with SARS-CoV-2.
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Background: Rebound of SARS-CoV-2 RNA and symptoms has been reported in people treated with nirmatrelvir/ritonavir. Since the natural course of viral and symptom trajectories during COVID-19 have not been well described, we evaluated the incidence of viral rebound and symptom relapse in untreated individuals with mild-to-moderate COVID-19. Method(s): This analysis included 563 participants randomized to placebo in the ACTIV-2/A5401 platform trial. Participants recorded the severity (scored as 0-3) of each of 13 targeted symptoms daily from days 0-28, with symptom score being the summed score (0-39). Symptom rebound was defined as >=4 point increase in symptom score between the maximum and the preceding minimum score. Anterior nasal (AN) swabs were collected for SARS-CoV-2 RNA testing on days 0-14 and 28. Viral rebound was defined as a >=0.5 log10 RNA copies/mL increase from the immediately preceding time point to a level >=3.0 log10 RNA copies/mL, with high-level rebound defined as an increase of >=0.5 log10 copies/mL to a level >=5.0 log10 RNA copies/mL. To mirror the timing of a 5-day nirmatrelvir/ritonavir course, a supportive analysis was conducted where participants were only classified as rebounders if their rebounds occurred on or after day 5. Result(s): Symptom rebound was identified in 26% of participants at a median [Q1, Q3] of 6 [4, 9] days after study entry and 11 [9, 14] days after initial symptom onset. Individuals with symptom rebound were more likely to be female, at high risk for progression to severe disease, have shorter time since symptom onset at study entry, and have higher symptom score and higher AN viral levels day 0. Viral rebound was detected in 32%, with high-level rebound in 13% of participants. Participants with viral rebound were older, more likely to be at low risk for progression to severe disease and had higher median AN viral level at day 0. Most symptom and viral rebound were transient with 89% of symptom rebound and 95% of viral rebound events occurring for only a single day before improving. The combination of symptom and high-level viral rebound was observed in 3% of participants. In the supportive analysis of rebound occurring >=5 days after study entry, 22% and 20% of participants met symptom and viral rebound criteria, respectively, but only 1.2% of participants met criteria for both symptom and high-level viral rebound. Conclusion(s): Symptom or viral rebound in the absence of antiviral treatment is common, but the combination of symptom and viral rebound is rare.
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Background: Cyclophosphamide (Cy) is used in hematopoietic stem cell transplant (HSCT) preparative regimens and lymphodepletion for chimeric antigen receptor T-cell (CAR-T) therapy. We describe a case of cyclophosphamide hypersensitivity in a pediatric patient during CAR-T therapy. Case description: A 13 year old boy was diagnosed with very high risk ALL in 2015 and had 2 isolated CNS relapses treated with intensified chemotherapy (chemo) and cranial radiation (1st relapse) and Blinatumomab with intrathecal (IT) chemo followed by sibling donor HSCT (2nd relapse). At age 19, and 18 months after HSCT, he had a 3rd CNS relapse treated with IT chemo and referral for CAR-T therapy. At our center, leukapheresis and CAR-T production (Novartis) were performed. Later, during lymphodepletion with fludarabine (Flu) and Cy, physiologic replacement hydrocortisone (HC) was briefly held to prevent interference with CAR-T function. After 3 days of Flu/Cy, he developed fever and hypotension requiring inotropic support. Hypotension and fever resolved with stress dose HC and antibiotics and was attributed to culture-negative sepsis and adrenal crisis. CAR-T infusion was subsequently delayed by skin GVHD requiring glucocorticoids and COVID-19 infection treated with convalescent plasma and nirmatrelvir/ritonavir. Physiologic HC replacement was continued when he was re-admitted for CAR-T therapy, but he again developed fever, diffuse erythema and shock in hours following the first dose of Cy necessitating stress dose HC, antibiotics, inotropes, and mechanical ventilation. Negative blood cultures and ongoing physiologic HC replacement suggested an alternative explanation for shock. Case reports of anaphylaxis to Cy metabolites implicated Cy as the causative agent so it was discontinued. After recovery, CAR-T cells were infused without complications. In the following weeks, he had no evidence of recurrent leukemia but was persistently pancytopenic. A sibling donor stem cell boost was proposed but the patient accepted only palliative care. He had several opportunistic infections before succumbing to E. coli sepsis. Discussion(s): The first episode of shock was initially attributed to adrenal crisis and sepsis, although no organism was identified. The second episode appeared anaphylactic in timing and clinical presentation with adequate HC replacement and negative cultures, suggesting Type I hypersensitivity. The patient previously received Cy uneventfully before HSCT, suggesting that the donor-derived immune system was the source of new Cy hypersensitivity. Onset of anaphylaxis within hours rather than minutes after Cy administration supports hypersensitivity to Cy metabolites rather than to the drug itself. This case highlights the importance of consideration of sensitivity to Cy metabolites as well as acquired donor-specific allergy even when alternative explanations are likely.Copyright © 2023 American Society for Transplantation and Cellular Therapy
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Background: Exposure-response (E-R) models were developed for the primary endpoint of hospitalization or death in COVID-19 patients from the Phase 3 portion of the MOVe-OUT study (Clinicaltrials.gov NCT04577797). Beyond dose, these models can identify other determinants of response, highlight the relationship of virologic response with clinical outcomes, and provide a basis for differential efficacy across trials. Method(s): Logistic regression models were constructed using a multi-step process with influential covariates identified first using placebo arm data only. Subsequently the assessment of drug effect based on drug exposure was determined using placebo and molnupiravir (MOV) arm data. To validate the models, the rate of hospitalization/death was predicted for published studies of COVID-19 treatment. All work was performed using R Version 3.0 or later. Result(s): A total of 1313 participants were included in the E-R analysis, including subjects having received MOV (N=630) and placebo (N=683). Participants with missing baseline RNA or PK were excluded (79 from MOV and 16 from placebo arms). The covariates shown to be significant determinants of response were baseline viral load, baseline disease severity, age, weight, viral clade, and co-morbidities of active cancer and diabetes. Day 5 and Day 10 viral load were identified as strong on-treatment predictors of hospitalization/death, pointing to sustained high viral load as driving negative outcomes. Estimated AUC50 was 19900 nM*hr with bootstrapped 95% C.I. of (9270, 32700). In an external validation exercise based on baseline characteristics, the E-R model predicted the mean (95% CI) placebo hospitalization rates across trials of 9.3% (7.6%, 11.7%) for MOVe-OUT, 7.2% (5.3%, 9.8%) for the nirmatrelvir/ritonavir EPIC-HR trial, and 3.2% (1.9%, 5.5%) for generic MOV trials by Aurobindo and Hetero, consistent with the differing observed placebo rates in these trials. The relative reduction in hospitalization/death rate predicted with MOV treatment (relative to placebo) also varied with the above patient populations. Conclusion(s): Overall, the exposure-response results support the MOV dose of 800 mg Q12H for treatment of COVID-19. The results further support that many clinical characteristics impacted hospitalization rate beyond drug exposures which can vary widely across studies. These characteristics also influenced the magnitude of relative risk reduction achieved by MOV in the MOVe-OUT study.