Smoking identified as preferred mode of opioid safe supply use; investigating correlates of smoking preference through a 2021 cross-sectional study in British Columbia.

BACKGROUND: The increasing number of illicit drug toxicity deaths in British Columbia (BC) has led to calls for a regulated (pharmaceutical grade) supply of substances ("safe supply"). In order to inform safe supply recommendations, we aimed to identify why people currently smoke opioids and assess the preferred mode of consumption if people who use opioids were provided with opioid safe supply. METHODS: The BC Harm Reduction Client Survey (HRCS) is an annual survey that gathers information about people who use drugs' (PWUD) substance use characteristic with the goal of contributing to evidence-based policy. This study utilized data from the 2021 HRCS. The outcome variable was "prefer smoking opioid safe supply" ('yes/no'). Explanatory variables included participants' demographics, drug use, and overdose characteristics. Bivariate and hierarchical multivariable logistic regressions were conducted to identify factors associated with the outcome. RESULTS: Of 282 total participants who indicated a preference for a mode of consumption for opioid safe supply, 62.4% preferred a smokable option and 19.9% preferred to inject if provided with opioid safe supply. Variables significantly associated with the outcome (preferred smoking) included: being 19-29 years old (AOR=5.95, CI =1.93 - 18.31) compared to >50 years old, having witnessed an overdose in the last 6 months (AOR=2.26, CI=1.20 - 4.28), having smoked opioids in the last 3 days (AOR=6.35, CI=2.98 - 13.53) and having a preference to smoke stimulants safe supply (AOR=5.04, CI=2.53 - 10.07). CONCLUSION: We found that over half of participants prefer smokable options when accessing opioid safe supply. Currently in BC, there are limited smokable opioid safe supply options as alternatives to the toxic street supply. To reduce overdose deaths, safe supply options should be expanded to accommodate PWUD that prefer smoking opioids.

Incidence of asymptomatic COVID-19 positivity in cancer patients and effects on therapy.

PURPOSE: The coronavirus disease 2019 (COVID-19) pandemic is posing unprecedented challenges for patient care, especially for cancer patients. This study looks at asymptomatic (AS) COVID-19 positivity in cancer patients and its effects on their care. METHODS: We conducted a retrospective chart review of AS patients testing positive for COVID-19 upon screening at Fox Chase Cancer Center between January 2020 and September 2020. Relationships between positive tests and demographics, clinical characteristics, and treatment delays were investigated using conditional logistic regression or Mantel-Haenszel tests. RESULTS: Among 4143 AS patients who underwent COVID-19 testing, 25 (0.6%) were COVID-19 positive (cases) and these were matched to 50 controls. The median age was lower in the cases compared to that of the controls (64 vs 70 years old, p = 0.04). Of the cases, 10 patients (40%) never underwent their planned oncologic intervention [6/10 (60%) did not require the planned intervention once deemed okay to proceed]. Of the controls, only 1 patient (2%) did not undergo the planned intervention. Of these 15 COVID-19 positive patients who underwent the planned intervention, 11 (73.3%) had a delay related to COVID-19, with a mean delay duration of 18 days (range: 0-49, SD: 16.72). CONCLUSION: Cancer patients had lower incidence of AS COVID-19 than general population. Delays that occur due to AS COVID screening are not very long and serve as a tool to limit spread of virus. Further studies will be important in addressing delays in cancer care and concerns of patient safety as the pandemic continues.

Différences d'immunogénicité des vaccins anti-SRAS-CoV-2 mRNA-1273 (Moderna) et BNT162b2 (Pfizer-BioNTech) chez les patients dialysés.

CONTEXTE: Les différences d'immunogénicité entre les vaccins anti-SRAS-CoV-2 à ARNm n'ont pas été bien caractérisées chez les patients hémodialysés. Nous avons comparé la réponse sérologique chez les patients sous hémodialyse après la vaccination contre le SRAS-CoV-2 au moyen des vaccins BNT162b2 (Pfizer-BioNTech) et mRNA-1273 (Moderna). MÉTHODES: Nous avons procédé à une étude de cohorte observationnelle et prospective dans 2 centres universitaires de Toronto, au Canada, du 2 février au 20 juillet 2021, et avons inclus 129 et 95 patients qui ont reçu respectivement les vaccins anti-SRAS-CoV-2 BNT162b2 et mRNA-1273. Nous avons mesuré les taux d'anticorps IgG dirigés contre la protéine S (anti-S), contre le domaine de liaison au récepteur (ou RBD, pour receptor-binding domain [anti-RBD]) et contre la protéine de la nucléocapside (anti-N) du SRAS-CoV-2 6­7) puis 12 semaines après la deuxième dose de vaccin et nous avons comparé ces taux aux taux médians d'anticorps présents dans le sérum de 211 témoins convalescents qui avaient déjà contracté le SRAS-CoV-2. RÉSULTATS: Six à 7 semaines après la deuxième dose de vaccin, nous avons constaté que 51 patients sur 70 (73 %) ayant reçu le BNT162b2 et 83 patients sur 87 (95 %) ayant reçu le mRNA-1273, ont obtenu des taux équivalents à ceux du sérum de convalescents pour ce qui est de l'anticorps anti-S (p < 0,001). Chez ceux qui ont reçu le BNT162b2, 35 sur 70 (50 %) ont atteint le taux du sérum de convalescents pour l'anti-RBD, contre 69 sur 87 (79 %) de ceux qui ont reçu le mRNA-1273 (p < 0,001). Douze semaines après la deuxième dose, les taux d'anti-S et d'anti-RBD étaient significativement moindres chez les patients ayant reçu le BNT162b2 que chez ceux qui avaient reçu le mRNA-1273. Pour l'anti-S, 70 patients sur 122 (57,4 %) ayant reçu le BNT162b2 ont maintenu un taux équivalent à celui du sérum de convalescents, contre 68 sur 71 (96 %) de ceux qui avaient reçu le mRNA-1273 (p < 0,001). Pour l'anti-RBD, 47 patients sur 122 (38,5 %) ayant reçu le BNT162b2 ont maintenu des taux anti-RBD équivalant à celui du sérum de convalescents, contre 45 sur 71 (63 %) de ceux qui avaient reçu le mRNA-1273 (p = 0,002). INTERPRÉTATION: Chez les patients hémodialysés, le mRNA-1273 a généré une réponse humorale plus forte que le BNT162b2. Étant donné le déclin rapide de l'immunogénicité à 12 semaines chez les patients ayant reçu le BNT162b2, une troisième dose est recommandée chez les patients hémodialysés dans le cadre d'une première série, ce qui concorde avec les recommandations concernant d'autres populations vulnérables.

Clinical characteristics and factors associated with COVID-19-related death and morbidity among hospitalized patients with cancer: a Swedish cohort study.

INTRODUCTION: Cancer patients are considered to have a higher risk of dying and developing severe Coronavirus Disease 2019 (COVID-19). To date, there are few studies including co-morbidities and sociodemographic factors when investigating the outcome of COVID-19 in a cohort of cancer patients. In this study, we analyzed cancer patients that have been hospitalized due to COVID-19 during the first wave of the pandemic in Sweden to investigate the impact of COVID-19 on mortality and morbidity. PATIENTS AND METHODS: We retrospectively collected data on all patients with cancer that were hospitalized due to COVID-19-related symptoms at Uppsala University Hospital and Karolinska University Hospital between 1 March and 31 August 2020. The primary endpoint was COVID-19-related death and the secondary endpoint was to describe COVID-19 severity, defined as symptom severity (grades 0-4) and length of stay (LOS) at the university hospitals. RESULTS: In total, 193 patients were included among which 31% died due to COVID-19 and 8% died of other causes. In a multivariable analysis, older age >70 (OR 3.6; 95% CI [1.8-7.3], p < 0.001) and male gender (OR 2.8 [1.4-5.8], p = 0.005) were factors associated with higher likelihood of COVID-19-related death. Several comorbidities ≥2 (OR 5.4 [2.0-14.3], p = 0.001) was independently associated with COVID-19 severity. Treatment with chemotherapy within 90 days prior to COVID-19 diagnosis were not associated with COVID-19-related death or severity. CONCLUSION: Factors associated with higher likelihood of COVID-19-related death were older age and male gender. More severe COVID-19 symptoms were seen in patients with multiple comorbidities. We did not see any associations between COVID-19-related death or severity and recent treatment including chemotherapy. In summary, this supports a thorough assessment regarding potential risks with COVID-19 infection in patients with cancer, with a combination of individual risk factors in addition to cancer treatments.