Citations

Rates of adjuvant chemotherapy in patients with early-onset versus later-onset stage II colon cancer

Abstract Aims Patients with aortic stenosis (AS) and cardiogenic shock (CS) are an extremely high-risk population with a poor prognosis in the absence of definitive therapy. We aimed to compare the outcomes of transcatheter aortic valve replacement (TAVR) with those of surgical aortic valve replacement (SAVR) in patients with AS–CS. Methods and results We queried the Nationwide Readmission Database (2016–21) to identify patients hospitalized for AS–CS who underwent isolated TAVR or SAVR. In-hospital outcomes of TAVR vs. SAVR were compared using multivariable regression and propensity-matching analyses. Ninety-day readmissions were compared using a Cox proportional hazards regression model. A total of 16 161 patients were hospitalized for AS–CS, of whom 6470 (40.0%) underwent isolated TAVR and 9691 (60.0%) underwent isolated SAVR. From 2016 through 2021, the proportion of TAVR increased from 29.5 to 46.5% and the proportion of SAVR correspondingly decreased in AS–CS (Ptrend < 0.01). After adjustment for baseline characteristics, TAVR was associated with lower odds of stroke [adjusted odds ratio (aOR) 0.63, 95% confidence interval (CI) 0.47–0.84], acute kidney injury (aOR 0.80, 95% CI 0.69–0.93), and major bleeding (aOR 0.54, 95% CI 0.40–0.71) and higher odds of vascular complications (aOR 1.56, 95% CI 1.23–1.97) compared with SAVR. In-hospital mortality, myocardial infarction, permanent pacemaker placement, and 90-day all-cause and heart failure readmissions showed similar rates between TAVR and SAVR. However, hospital length of stay was shorter and total costs and non-home discharges were lower with TAVR than with SAVR. Conclusion This nationwide observational analysis showed that TAVR is increasingly performed in patients with AS–CS and is associated with similar rates of in-hospital mortality and 90-day readmissions but lower rates of in-hospital complications and resource utilization compared with SAVR.

Inositol 1,4,5-trisphosphate (IP3) receptor type 1 ( ITPR1 ), 2 ( ITPR2 ), and 3 ( ITPR3 ) encode the IP3 receptor (IP3R), a key player in intracellular calcium release. In four unrelated patients, we report that an identical ITPR3 de novo variant—NM_002224.3:c.7570C>T, p.Arg2524Cys—causes, through a dominant-negative effect, a complex multisystemic disorder with immunodeficiency. This leads to defective calcium homeostasis, mitochondrial malfunction, CD4 + lymphopenia, a quasi-absence of naïve CD4 + and CD8 + cells, an increase in memory cells, and a distinct TCR repertoire. The calcium defect was recapitulated in Jurkat knock-in. Site-directed mutagenesis displayed the exquisite sensitivity of Arg 2524 to any amino acid change. Despite the fact that all patients had severe immunodeficiency, they also displayed variable multisystemic involvements, including ectodermal dysplasia, Charcot-Marie-Tooth disease, short stature, and bone marrow failure. In conclusion, unlike previously reported ITPR1-3 deficiencies leading to narrow, mainly neurological phenotypes, a recurrent dominant ITPR3 variant leads to a multisystemic disease, defining a unique role for IP3R3 in the tetrameric IP3R complex.

Abstract Patients with head and neck squamous cell carcinomas (HNSCC) often have poor outcomes due to suboptimal risk management and treatment strategies; yet integrating novel prognostic biomarkers into clinical practice is challenging. Here, we report the presence of multinucleated giant cells (MGC)—a type of macrophages—in tumors from patients with HNSCC, which are associated with a favorable prognosis in treatment-naive and preoperative chemotherapy–treated patients. Importantly, MGC density increased in tumors following preoperative therapy, suggesting a role of these cells in the antitumoral response. To enable clinical translation of MGC density as a prognostic marker, we developed a deep-learning model to automate its quantification on routinely stained pathological whole slide images. Finally, we used spatial transcriptomic and proteomic approaches to describe the MGC-related tumor microenvironment and observed an increase in central memory CD4 T cells. We defined an MGC-specific signature resembling to TREM2-expressing mononuclear tumor-associated macrophages, which colocalized in keratin tumor niches. Significance: Novel individual biomarkers are needed to guide therapeutic decisions for patients with head and neck cancer. We report for the first time, granulomas of TREM2-expressing multinucleated giant macrophages in keratin-rich tumor niches, as a biomarker of favorable prognosis and developed a deep-learning model to automate its quantification on routinely stained pathological slides.

Objective Computer-based auditory training (CBAT) has been shown to improve outcomes in adult cochlear implant (CI) users. This study evaluates in new CI users whether starting CBAT within 3 months of activation or later impacts CI outcomes. Study Design Prospective natural experiment. Setting Tertiary academic medical center. Patients Sixty-five new adult CI users. Interventions CBAT use over the first-year postactivation. Main Outcome Measures Speech recognition scores and CIQOL-35 Profile score improvements between CI recipients who started CBAT resources early (<3 mo) and late (3–12 mo) postactivation. Results A total of 43 CI recipients started using CBAT within 3 months postactivation (early) and 22 after 3 months (late). Patients who used CBAT within 3 months postactivation showed significantly greater improvement in consonant-nucleus-consonant words (CNCw) (48.3 ± 24.2% vs 27.8 ± 24.9%; d = 0.84), AzBio Sentences in quiet (55.1 ± 28.0% vs 35.7 ± 36.5%; d = 0.62), and CIQOL-35 listening domain scores (18.2 ± 16.3 vs 6.9 ± 12.9, d = 0.73 [0.023, 1.43]), at 3 months postactivation, compared to those who had not yet initiated CBAT. However, by 12 months postactivation, after which all CI recipients had started CBAT, there were no differences observed between patients who started CBAT early or late in speech recognition scores (CNCw: d = 0.26 [−0.35, 0.88]; AzBio: d = 0.37 [−0.23, 0.97]) or in any CIQOL global or domain score (d-range = 0.014–0.47). Conclusions Auditory training with self-directed computer software (CBAT) may yield speech recognition and quality-of-life benefits for new adult CI recipients. While early users showed greater improvement in outcomes at 3 months postactivation than users who started later, both groups achieved similar benefits by 12 months postactivation.

Background: In 2020, the American Board of Plastic Surgeons announced an update in the leave policy for plastic surgery trainees, extending personal leave to 12 weeks without delay in graduation. Simultaneously, the Accreditation Council for Graduate Medical Education announced their update in lactation policy. This study sought to understand the influence of the policy change on plastic surgery trainees’ goals for family planning and lactation. Methods: An online 32-question survey was developed to evaluate plastic surgery trainees’ perceptions of family planning and perceived program support in the United States. The survey was approved by the American Council of Academic Plastic Surgeons Research Committee and sent out to a total of 216 plastic surgery programs. Results: One hundred thirty plastic surgery trainees completed the survey. Most respondents were women, between the ages of 30 and 34 years, and married. Forty-five (34.6%) respondents or their partners had experienced pregnancy or live birth during their training. More than 70% did not feel that they had adequate time for leave. Female trainees faced more barriers than men, including having a partner in training, concern for their pregnancy, and burdening their co-residents during leave. The majority stated that their decision to apply to plastic surgery residency was influenced by program support for family planning compared with policy changes. Conclusions: This survey highlighted that the new policies benefit trainees who consider starting a family during training. Despite this, there are still challenges that need to be addressed to help foster a fair environment for trainees to work and have a family.

Background The COVID-19 pandemic introduced unique challenges to healthcare systems, particularly in relation to patient safety and adverse events during hospitalization. There is limited understanding of COVID-19’s association with some patient safety indicators (PSIs). Objectives This study aimed to investigate the impact of COVID-19 infection on the rate of PSI-3 events and its implications on quality metrics. We compared PSI-3 event rates between COVID-19–infected and uninfected patients and examined the clinical characteristics of COVID-19 patients experiencing PSI-3 events. Methods This is a retrospective study at Mayo Clinic hospitals between January 2020 and February 2022, analyzing patients meeting PSI-3 denominator eligibility criteria. PSI-3 events were identified using AHRQ WinQI software. Patients were categorized based on COVID-19 status. Patient demographics, characteristics, and PSI-3 rates were compared. A case series analysis described clinical details of COVID-19 patients with PSI-3 events. Results Of 126,781 encounters meeting PSI-3 criteria, 8674 (6.8%) had acute COVID-19 infection. COVID-19–infected patients were older, more likely to be male, non-white, and had private insurance. PSI-3 rates were significantly higher in COVID-19 patients (0.21% versus 0.06%, P < 0.0001), even after risk adjustment (adjusted risk ratio, 3.24, P < 0.0001). The case series of 17 COVID-19 patients with PSI-3 events showed distinctive clinical characteristics, including higher medical device–related pressure injuries, and greater predisposition for head, face, and neck region. Conclusions Acute COVID-19 infection correlates with higher PSI-3 event rates. Current quality indicators may require adaptation to address the pandemic’s complexities and impact on patient safety. Further research is needed to comprehensively understand the intricate relationship between COVID-19 and patient outcomes.

We will do a recap of our microbiome work in Obstetrics and Gynecology, starting with our findings in healthy populations and natural variation. Then transitioning to healthy obstetrics and preterm labor. And wrapping up with gynecologic cancers, particularly endometrial and ovarian cancer.