ABSTRACT
Long coronavirus disease (COVID) or postacute sequelae of coronavirus disease of 2019 (COVID-19) is widely reported but the data of long COVID after infection with the Omicron variant is limited. This study was conducted to estimate the incidence, characteristics of symptoms, and predictors of long COVID among COVID-19 patients diagnosed during the Omicron wave in Eastern India. The cohort of COVID-19 patients included were adults (≥18 years) diagnosed as severe acute respiratory syndrome coronavirus 2 positive with Reverse Transcription Polymerase Chain Reaction. After 28 days of diagnosis; participants were followed up with a telephonic interview to capture data on sociodemographic, clinical history, anthropometry, substance use, COVID-19 vaccination status, acute COVID-19 symptoms, and long COVID symptoms. The long COVID symptoms were self-reported by the participants. Logistic regression was used to determine the predictors of long COVID. The median follow-up of participants was 73 days (Interquartile range; 67-83). The final analysis had 524 participants' data; among them 8.2% (95% Confidence Interval [CI]: 6%-10.9%) self-reported long COVID symptoms. Fatigue (34.9%) was the most common reported symptom followed by cough (27.9%). In multivariable logistic regression only two predictors were statistically significant-number of acute COVID-19 symptoms ≥ five (Adjusted odds ratio (aOR) = 2.95, 95% CI: 1.30-6.71) and past history of COVID-19 (aOR = 2.66, 95% CI: 1.14-6.22). The proportion of self-reported long COVID is considerably low among COVID-19 patients diagnosed during the Omicron wave in Eastern India when compared with estimates during Delta wave in the same setting.
ABSTRACT
Background: The impact of COVID-19-related healthcare changes on access to buprenorphine (BUP) nationwide in the US is unknown. Methods: We conducted an interrupted time series with the IQVIA LRx database. The study timeline included BUP prescriptions from 52 weeks before (2/23/19-2/21/20) to 52 weeks after (4/4/20-4/2/21) the initial pandemic period (2/22/20-4/3/20). Segmented regression estimated relative changes in total milligrams (MG) of BUP available per week nationwide at 1, 26, and 52 weeks post-initial-pandemic. We evaluated treatment disruptions in previously stable patients, defined as ≥6 months of BUP prescriptions. Results: A total of 31 617 849 prescriptions were included. Total MG BUP dispensed increased at 1 and 26 weeks and then returned to baseline trends at 52 weeks post-initial pandemic period (4.1% [95% CI: 3.7,4.5], 2.1% [1.5,2.6], 0.1% [-0.6,0.9]). Stably-treated patients saw a decrease in 7-, 14-, and 28-day treatment disruptions at 52 weeks post-initial-pandemic period (-21.6% [-25.6,-17.7]; -10.8% [-16.3,-5.3]; -27.3% [-33.0,-21.6]). Men retained an increase in MG BUP compared to women at 52 weeks (0.7% [0.01,1.4] versus -0.6% [-1.5,0.2]). Younger age groups (18-29 years and 30-39 years) had a decrease in MG BUP at 52 weeks compared to expected baseline trend (-16.6 [-24.2, -9.0]; -1.6 [-3.0, -0.1). Patients with Medicaid demonstrated an increase in MG BUP at 52 weeks (8.3% [6.3,10.3]). MG BUP prescribed by APP prescribing increased by over 140 000 mg per week prior to the pandemic and continued to increase. Conclusions: Regulatory changes around buprenorphine prescribing facilitated patient access to buprenorphine during the pandemic.
ABSTRACT
The COVID-19 pandemic, the ongoing opioid epidemic, rise in substance use, and social and political unrest in the US and globally has impacted how substance use-related health needs are addressed. These issues were driving forces in planning AMERSA's 44th annual conference. True to the multidisciplinary spirit, and with diversity goals and advocacy at the forefront of mind, "together we rise" became the beacon for the AMERSA 2020 conference. This commentary provides an overview of the conference proceedings, topics that were highly relevant for clinicians, educators, researchers, and advocates for change.