Prevalence of potential drug-drug interactions with ritonavir-containing COVID-19 therapy.

BACKGROUND: Patients with COVID-19 receiving ritonavir-containing therapies are at risk of potential drug-drug interactions (pDDIs) because of ritonavir's effects on cytochrome P450 3A4. OBJECTIVE: To assess the prevalence of pDDIs with ritonavir-containing COVID-19 therapy in adults with COVID-19 using the Optum Clinformatics Data Mart database. METHODS: In this retrospective, observational cohort study, patients with COVID-19 aged 18 years or older prescribed cytochrome P450 3A4-mediated medications with supply days overlapping the date of COVID-19 diagnosis between January 1, 2020, and June 30, 2021, were classified as having pDDIs. pDDI was classified as contraindicated, major, moderate, or mild using established drug interaction resources. Prevalence of pDDIs with ritonavir-containing COVID-19 therapy was estimated for the entire cohort and in patient groups with high risk of severe COVID-19 progression or pDDIs. Actual COVID-19 treatments received by the patients, if any, were not considered. Outcomes were presented descriptively without adjusted comparisons. RESULTS: A total of 718,387 patients with COVID-19 were identified. The age-sex standardized national prevalence of pDDIs of any severity was estimated at 52.2%. Approximately 34.5% were at risk of contraindicated or major pDDIs. Compared with patients without pDDI, patients exposed to pDDIs were older and more likely to be female, reside in long-term care facilities, and have risk factors for progression to severe COVID-19. Higher prevalence of major/contraindicated pDDIs was observed in older patients (76.1%), female patients (65.0%), and patients with multiple morbidities (84.6%). CONCLUSIONS: Study findings demonstrate that more than one-third of patients with COVID-19 were at risk of significant pDDIs if treated with ritonavir-containing COVID-19 therapy and highlight the need to assess all patients with COVID-19 for pDDIs. Ritonavir-based therapies may not be appropriate for certain patient groups, and alternative therapies should be considered. DISCLOSURES: Drs Igho-Osagie, Puenpatom, and Grifasi Williams are employees of Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc. Dr Song and Ms He are employees of Analysis Group, Inc., and served as paid consultants for Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc. Drs Yi and Wang, and Mr Berman, and Ms Gu were employees of Analysis Group, Inc., at the time of study conduct. Financial support for this study was provided by Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc. The study sponsor was involved in the design and conduct of the study; collection, management, analysis, interpretation of data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Retrospective Study to Examine Prognostic Value of C-Reactive Protein in Patients With Surgically Resectable Non-Small-Cell Lung Cancer.

BACKGROUND: This study evaluated the association between elevated C-reactive protein (CRP) and clinical outcomes among adults treated with surgery for non-small cell lung cancer (NSCLC) in the US. MATERIALS AND METHODS: Adults with NSCLC who underwent lung cancer surgery and had ≥1 CRP measurement prior to, or >1 month following, index surgery were identified in the Optum Clinformatics claims database. The association between elevated CRP (>10 mg/L) and risk of NSCLC recurrence/death was assessed separately during the 6 months before surgery (pre surgery cohort) and 2 years following surgery (post-surgery cohort) using multivariate regressions and Kaplan-Meier analysis. RESULTS: After adjusting for baseline demographic and clinical characteristics among patients in the pre surgery cohort with index surgery between 2016 to 2020 (n = 104), the incidence rate ratio (IRR) for NSCLC recurrence between elevated vs. non-elevated CRP was 2.17 (95% confidence interval [CI]=1.03-4.60; P = .04). In the post surgery cohort (n = 264), the adjusted IRR for disease recurrence (elevated vs. non-elevated CRP) was 2.22 (95% CI=1.05-4.70; P = .04). In the pre surgery cohort, the odds of death were nearly two-fold (odds ratio [OR]=1.91; 95% CI=1.06-3.42; P = .03) among patients with elevated CRP. In the post surgery cohort, the OR was 1.62 (95% CI=0.88-2.97; P = .12). Among those with persistently elevated CRP prior to surgery, there was a significant overall trend of increased CRP over the 5-year period. CONCLUSION: These results support the association between elevated CRP and a higher risk of NSCLC recurrence/death in pre- and postsurgery cohorts. This study may shed lights on inflammation-suppressing treatments in patients with NSCLC.

The interplay between PCOS pathology and diet on gut microbiota in a mouse model.

The gut microbiome has been implicated in polycystic ovary syndrome (PCOS) pathophysiology. PCOS is a disorder with reproductive, endocrine and metabolic irregularities, and several studies report that PCOS is associated with a decrease in microbial diversity and composition. Diet is an important regulator of the gut microbiome, as alterations in macronutrient composition impact the balance of gut microbial communities. This study investigated the interplay between macronutrient balance and PCOS on the gut microbiome of control and dihydrotestosterone (DHT)-induced PCOS-like mice exposed to diets that varied in protein (P), carbohydrate (C) and fat (F) content. The amount of dietary P, C and F consumed significantly altered alpha (α) and beta (ß) diversity of the gut microbiota of control and PCOS-like mice. However, α-diversity between control and PCOS-like mice on the same diet did not differ significantly. In contrast, ß-diversity was significantly altered by PCOS pathology. Further analysis identified an operational taxonomic unit (OTU) within Bacteroides (OTU3) with 99.2% similarity to Bacteroides acidifaciens, which is inversely associated with obesity, to be significantly decreased in PCOS-like mice. Additionally, this study investigated the role of the gut microbiome in the development of PCOS traits, whereby PCOS-like mice were transplanted with healthy fecal microbiota from control mice. Although the PCOS gut microbiome shifted toward that of control mice, PCOS traits were not ameliorated. Overall, these findings demonstrate that while diet exerts a stronger influence over gut microbiota diversity than PCOS pathology, overall gut microbiota composition is affected by PCOS pathology.