A peer-led kinesthetic forearm and wrist anatomy workshop: A multiple cohort study.

An understanding of forearm and wrist anatomy is necessary for the diagnosis and treatment of various injuries. Evidence supports the use of peer-assisted learning (PAL) as an effective resource for teaching basic science courses. First-year medical students across three class years participated in an optional PAL kinesthetic workshop wherein participants created anatomically accurate paper models of forearm and wrist muscles. Participants completed pre- and post-workshop surveys. Participant and nonparticipant exam performances were compared. Participation ranged from 17.3% to 33.2% of each class; participants were more likely to identify as women than men (p < 0.001). Participants in cohorts 2 and 3 reported increased comfort with relevant content after the workshop (p < 0.001). Survey responses for cohort 1 were omitted due to low response rates; however, exam performances were assessed for all three cohorts. Cohort 2 participants scored higher than nonparticipants on forearm and wrist questions on the cumulative course exam (p = 0.010), while the opposite was found for cohort 3 (p = 0.051). No other statistically significant differences were observed. This is the first study to examine quantitative and qualitative results for a PAL intervention repeated for three separate cohorts. Although academic performance varied, two cohorts reported increased comfort with relevant course material after the workshop. Results of this study support the need for further exploration of PAL workshops as an instructional method in teaching anatomy and highlight the challenges associated with repeating interventions over multiple years. As more studies attempt replication across multiple years, these challenges may be addressed, thereby informing PAL best practices.

Cardiovascular and Hematologic Complications of COVID-19 Vaccines.

COVID-19 is a prothrombotic and cardiac-damaging disease. There are 4 vaccines against COVID-19 currently approved in North America, including the mRNA vaccines by Pfizer and Moderna, and the adenovirus vector vaccines by Johnson and Johnson and AstraZeneca. These vaccines have been proven effective in reducing morbidity and preventing mortality in patients who were exposed to COVID-19 infection, but the vaccines have also been associated with complications. Vaccine-induced thrombotic thrombocytopenia (VITT) has a similar pathogenesis to heparin-induced thrombocytopenia, with an inappropriate immune response leading to platelet activation, consumption of platelets, and thrombosis. It appears to be more common with the adenovirus vector vaccines. Secondary immune thrombocytopenic purpura has been reported with all COVID-19 vaccines and is distinct from VITT because there is no sign of platelet activation or thrombotic events. Myocarditis and pericarditis are often reported in young males following mRNA vaccines and is often associated with a full recovery. The long-term effects of VITT, secondary immune thrombocytopenic purpura, myocarditis, and pericarditis secondary to COVID-19 vaccines have yet to be elucidated. Continued surveillance for these complications after vaccination is crucial for accurate diagnosis and effective management. Patients should consult their physicians regarding repeated vaccine doses after experiencing an adverse effect.

Retrospective Analysis of Tacrolimus Intrapatient Variability as a Measure of Medication Adherence.

BACKGROUND: Increased intrapatient variability (IPV) in tacrolimus levels is associated with graft rejection, de novo donor-specific antibodies, and graft loss. Medication nonadherence may be a significant contributor to high IPV. OBJECTIVE: The objective of this study is to determine the utility of tacrolimus IPV in detecting nonadherence by examining the relationship between self-reported adherence and tacrolimus coefficient of variability (COV), a measure of IPV. DESIGN: Retrospective cohort study. SETTING: St. Michael's Hospital, Toronto, Ontario. PATIENTS: All patients who were at least 1-year post-kidney transplant as of March 31, 2019, prescribed tacrolimus as an immunosuppressant and had a self-reported adherence status. Patients were excluded from the primary analysis of examining the correlation between COV and self-reported adherence if they lacked a calculatable COV. MEASUREMENTS: Self-reported adherence, COV, demographic data, transplant, and medication history. METHODS: A modified Basel Assessment of Adherence to Immunosuppressive Medications Scale (BAASIS) administered by healthcare professionals to assess self-reported adherence was used. The COV of tacrolimus trough levels was calculated and its correlation to BAASIS response was noted. The median COV was used as a cutoff to examine the characteristics of patients deemed "high COV" and "low COV." RESULTS: A total of 591 patients fit the initial criteria; however, only 525 had a recent calculatable COV. Overall, 92.38% of the population were adherent by self-report. Primary analysis identified a COV of 25.2% and 29.6% in self-reported adherent and nonadherent patients, respectively, though the result was not significant (P = .2). Secondary analyses showed a significant correlation between younger age at transplant and at the time of adherence self-reporting with nonadherence (P = .01). In addition, there was a strong correlation between those nonadherent with routine post-transplant blood work and younger age (P < .01). LIMITATIONS: The limitations included modified nonvalidated BAASIS questionnaire, social desirability bias, BAASIS only administered in English, and patients with graft failure not active in clinic not being captured. CONCLUSIONS: The COV should not be used as the sole method for determining medication adherence. However, COV may have some utility in capturing individuals who are not adherent to their blood work or patients who are having a poor response to tacrolimus and should be switched to another medication.

CONTEXTE: Une plus grande variabilité intra-individuelle des taux de tacrolimus est associée au rejet de la greffe, aux anticorps spécifiques au donneur de novo et à la perte du greffon. La non-observance du traitement médicamenteux pourrait être un facteur important de cette variabilité élevée. OBJECTIF: L'objectif de cette étude était d'évaluer la pertinence de la variabilité intra-individuelle des taux de tacrolimus pour la détection de la non-observance en examinant la relation entre l'observance autodéclarée et le coefficient de variabilité (CoV) du tacrolimus, une mesure de la variabilité intra-individuelle. TYPE D'ÉTUDE: Étude de cohorte rétrospective. CADRE: L'hôpital St Michael's de Toronto (Ontario). SUJETS: Tous les patients qui, au 31 mars 2019, avaient subi une transplantation depuis au moins un an, à qui on avait prescrit du tacrolimus comme immunosuppresseur et qui déclaraient adhérer à leur traitement. Les patients qui ne disposaient pas d'un CoV calculable ont été exclus de l'analyse principale examinant la corrélation entre le CoV et l'observance autodéclarée. MESURES: L'observance autodéclarée, le CoV, les données démographiques, ainsi que les antécédents de transplantation et pharmaceutiques des patients. MÉTHODOLOGIE: Une version modifiée du questionnaire BAASIS (Basel Assessment of Adherence to Immunosuppressive Medications Scale) administrée par les professionnels de la santé a été employée pour évaluer l'observance autodéclarée. Le CoV des concentrations minimales de tacrolimus a été calculé et sa corrélation avec les réponses au questionnaire BAASIS a été notée. Le CoV médian a été employé comme mesure limite pour examiner les caractéristiques des patients réputés avoir un « CoV élevé ¼ ou un « CoV faible ¼. RÉSULTATS: Au total, 591 patients satisfaisaient aux critères initiaux, mais seulement 525 disposaient d'une mesure récente et calculable du CoV. Dans l'ensemble, 92,38 % de la population étudiée déclarait adhérer au traitement. L'analyse primaire a permis d'établir le CoV à 25,2 % chez les patients adhérents et à 29,6 % chez les patients non-adhérents; bien que les résultats n'aient pas été jugés significatifs (p = 0,2). Les analyses secondaires ont montré une corrélation significative entre la non-observance autodéclarée au traitement et le fait d'être plus jeune au moment de la transplantation (p = 0,01). On a en outre observé une forte corrélation entre la non-observance des bilans sanguins habituels post-transplantation et un plus jeune âge (p < 0,01). LIMITES: La version modifiée du questionnaire BAASIS n'a pas été validée, l'étude comporte de possibles biais de désirabilité sociale, le questionnaire BAASIS n'a été passé qu'en anglais et les patients avec échec de la greffe qui étaient inactifs en clinique n'ont pu être saisis. CONCLUSION: Le coefficient de variabilité ne devrait pas être le seul élément à considérer pour déterminer l'adhérence au traitement. Ce coefficient peut cependant avoir une certaine utilité pour repérer les patients qui ne font pas leurs bilans sanguins ou les patients qui répondent peu au tacrolimus et qui devraient passer à un autre médicament.