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Association of perioperative plasma concentration of neurofilament light with delirium after cardiac surgery: a nested observational study

BackgroundNeurofilament light is a blood-based biomarker of neuroaxonal injury that can provide insight into perioperative brain vulnerability and injury. Prior studies have suggested that increased baseline and postoperative concentrations of neurofilament light are associated with delirium after noncardiac surgery, but results are inconsistent. Results have not been reported in cardiac surgery patients, who are among those at highest risk for delirium. We hypothesised that perioperative blood concentrations of neurofilament light (both baseline and change from baseline to postoperative day 1) are associated with delirium after cardiac surgery. MethodsThis study was nested in a trial of arterial blood pressure targeting during cardiopulmonary bypass using cerebral autoregulation metrics. Blood concentrations of neurofilament light were measured at baseline and on postoperative day 1. The primary outcome was postoperative delirium. Regression models were used to examine the associations between neurofilament light concentration and delirium and delirium severity, adjusting for age, sex, race, logistic European System for Cardiac Operative Risk Evaluation, bypass duration, and cognition. ResultsDelirium occurred in 44.6% of 175 patients. Baseline neurofilament light concentration was higher in delirious than in non-delirious patients (median 20.7 pg ml−1 [IQR 16.1–33.2] vs median 15.5 pg ml−1 [IQR 12.1–24.2], P<0.001). In adjusted models, greater baseline neurofilament light concentration was associated with delirium (odds ratio, 1.027; 95% confidence interval, 1.003–1.053; P=0.029) and delirium severity. From baseline to postoperative day 1, neurofilament light concentration increased by 42%, but there was no association with delirium. ConclusionsBaseline neurofilament light concentration, but not change from baseline to postoperative day 1, was associated with delirium after cardiac surgery.

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Post-operative safety of pediatric supraglottoplasty: Is post-operative admission necessary?

ObjectivesThe purpose of this study was to determine the incidence of adverse events in the first 48 h (acute) 14 days (subacute) in post supraglottoplasty pediatric patients. A secondary aim was to determine if postoperative hospital admission after supraglottoplasty in pediatric patients is necessary. MethodsThis study was a retrospective review of pediatric patients who underwent supraglottoplasty at a tertiary care center. Data were obtained from January 2017–December 2020, totaling 107 patients. Pediatric patients who underwent supraglottoplasty were included in the study. Information regarding patients' demographics, length of postoperative hospital stay, comorbid conditions, unit of hospital admission, intraoperative and postoperative adverse events, and readmission within the first 14 days was gathered and analyzed. ResultsThe incidence of postoperative adverse events for all subjects after supraglottoplasty was 5.7 % (N = 6). The most common postoperative complications were respiratory distress (N = 2), followed by substernal retractions, stridor, and decreased oral intake (N = 1). There was no statistically significant increased incidence in any group of patients, regardless of their unit of stay post-operatively (p = 0.39). ConclusionsSupraglottoplasty is a safe surgical option for patients with severe laryngomalacia. While each patient's care is individualized, we demonstrate that post-operative hospital admission is not necessary for healthy children undergoing supraglottoplasty. Level of evidenceIII – This is a retrospective chart review.

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Association between prediabetes and breast cancer: a comprehensive meta-analysis.

Breast cancer accounts for up to 30% of cancer cases in women in the US. Diabetes mellitus has been recognized as a risk factor for breast cancer. Some studies have suggested that prediabetes may also be associated with breast cancer whereas other studies have shown no or an inverse association; thus, we conducted a meta-analysis to assess the risk of breast cancer in prediabetes. We searched PubMed/Medline, EMBASE, Google Scholar, and Scopus to identify studies that reported breast cancer risks in patients having prediabetes compared to normoglycemic patients. Binary random-effects model was used to calculate a pooled odds ratio (OR) with 95% confidence intervals. I2 statistics were used to assess heterogeneity. Leave-one-out sensitivity analysis and subgroup analyses were performed. We analyzed 7 studies with 24,586 prediabetic and 224,314 normoglycemic individuals (783 and 5739 breast cancer cases, respectively). Unadjusted odds ratio (OR) for breast cancer was 1.45 (95% CI = 1.14, 1.83); adjusted OR was 1.19 (95% CI = 1.07, 1.34) in prediabetes. Subgroup analysis revealed a higher breast cancer risk in individuals aged less than 60years (OR = 1.86, 95% CI = 1.39, 2.49) than in those aged 60years or more (OR = 1.07, 95% CI = 0.97, 1.18). Subgroup analysis by median follow-up length indicated a higher risk of breast cancer for follow-ups of less than or equal to 2years (OR = 2.34, 95% CI = 1.85, 2.95) than in those of over 10years (OR = 1.1, 95% CI = 0.99, 1.23) and 6 to 10years (OR = 1.03, 95% CI = 0.88, 1.21). In conclusion, individuals with prediabetes have higher risk of developing breast cancer than those with normoglycemia, especially younger prediabetes patients. These individuals may benefit from early identification, monitoring, and interventions to reverse prediabetes.

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Seasonality of COVID-19 incidence in the United States.

The surges of Coronavirus Disease 2019 (COVID-19) appeared to follow a repeating pattern of COVID-19 outbreaks regardless of social distancing, mask mandates, and vaccination campaigns. This study aimed to investigate the seasonality of COVID-19 incidence in the United States of America (USA), and to delineate the dominant frequencies of the periodic patterns of the disease. We characterized periodicity in COVID-19 incidences over the first three full seasonal years (March 2020 to March 2023) of the COVID-19 pandemic in the USA. We utilized a spectral analysis approach to find the naturally occurring dominant frequencies of oscillation in the incidence data using a Fast Fourier Transform (FFT) algorithm. Our study revealed four dominant peaks in the periodogram: the two most dominant peaks show a period of oscillation of 366 days and 146.4 days, while two smaller peaks indicate periods of 183 days and 122 days. The period of 366 days indicates that there is a single COVID-19 outbreak that occurs approximately once every year, which correlates with the dominant outbreak in the early/mid-winter months. The period of 146.4 days indicates approximately 3 peaks per year and matches well with each of the 3 annual outbreaks per year. Our study revealed the predictable seasonality of COVID-19 outbreaks, which will guide public health preventative efforts to control future outbreaks. However, the methods used in this study cannot predict the amplitudes of the incidences in each outbreak: a multifactorial problem that involves complex environmental, social, and viral strain variables.

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Cardiovascular Outcomes of Transcatheter Aortic Valve Implantation in Patients With Chronic Kidney Disease in Octogenarian Population

Limited data are available regarding in-hospital outcomes of transcatheter aortic valve implantation (TAVI) in the octogenarian population with chronic kidney disease (CKD). We sought to study the cardiovascular outcomes of TAVI in CKD hospitalization with different stages at the national cohort registry. We used the National Inpatient Sample database to compare TAVI CKD low-grade (LG) (stage I to IIIa, b) versus TAVI CKD high-grade (HG) (stage IV to V) in octogenarians. Outcomes such as inpatient mortality, cardiogenic shock, new permanent pacemaker implantation, acute kidney injury), sudden cardiac arrest, mechanical circulatory support, major bleeding, transfusion, and resource utilization were compared between the 2 cohorts. A total of 74,766 octogenarian patients (TAVI CKD-HG n=12,220; TAVI CKD-LG n=62,545) were included in our study. On matched analysis, TAVI CKD-HG had higher odds of in-hospital mortality (adjusted odds ratio [aOR] 2.18, 95% confidence interval [CI] 1.0-2.5, p <0.0001), cardiogenic shock (aOR 1.22, 95% CI 1.07 to 1.39, p=0.0019), permanent pacemaker implantation (aOR 1.14, 95% CI 1.06 to 1.23, p=0.0006), acute kidney injury (aOR 1.19, 95% CI 1.13 to 1.27, p <0.0001), sudden cardiac arrest (aOR 1.32, 95% CI 1.09 to 1.61, p=0.004), major bleeding (aOR 1.1, 95% CI 1.006 to 1.22, p <0.0368) and higher rates of blood transfusion (aOR 1.62, 95% CI 1.5 to 1.75, p <0.0001) when compared with the TAVI CKD-LG cohort. However, there was no statistically significant difference in the odds of cerebrovascular accident and mechanical circulatory support use between the 2 groups.

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