Association between oral microbiome diversity and all-cause mortality: a longitudinal study of NHANES, 2009-2012

Objective
The study investigates the association between oral microbiome diversity and all-cause mortality.

Design
Population-based cohort study.

Setting
US National Health and Nutrition Examination Survey (2009–2010 and 2011–2012).

Participants
A total of 8224 participants who had valid data on the oral microbiome diversity and survival through 31 December 2019 were included in this study.

Primary and secondary outcome measures
Oral microbiome diversity was measured using the observed number of amplicon sequence variant (ASV) and grouped into quartiles. Cox proportional hazards regression models were used to estimate the HR and 95% CI for all-cause mortality according to the quartiles of ASV number, adjusted for potential confounders.

Results
Among the 8224 participants (mean (SD) age: 42.0 (15.1) years; 49.9% male; 37.2% white, 23.8% black, 27.2% Hispanic and 11.8% other race/ethnicity), the median follow-up time was 108 months (IQR, 95–120 months) and 429 (5.2%) deaths were identified. Participants with a higher ASV number were more likely to be poor, non-Hispanic black or Hispanic, uninsured and current smokers, more likely to have poor self-rated oral health and periodontitis and less likely to use dental floss. However, compared with the lowest quartile of the ASV number, a suggestive association was observed for the second quartile (HR=0.80, 95% CI: 0.60 to 1.08), a significant reduction in all-cause mortality was observed for the third (HR=0.55, 95% CI: 0.37 to 0.82) and the fourth (HR=0.58, 95% CI: 0.38 to 0.89) quartile. The dose–response association for all-cause mortality risk was curvilinear; the protective association plateaued when the number of ASVs was larger than 120.

Conclusion
Despite being linked to greater socioeconomic disadvantages and poorer oral health, higher oral microbiome diversity was significantly associated with a substantial reduction in all-cause mortality.

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Dicembre 2024

Unusual cause of rectal bleeding in a patient with schizophrenia

Clinical presentation A gentleman in his early 40s with a background of schizophrenia on clozapine presented with a 2-month history of rectal bleeding, diarrhoea, weight loss, a microcytic anaemia and a quantitative faecal immunochemical test (qFIT) result >400 µg Hb/g. Colonoscopy demonstrated multiple large polypoid lesions in the rectum and in the sigmoid colon; the sigmoid was unable to be passed by the colonoscope due to narrowing of the lumen (figure 1). Prior to histology being reported, CT colonography was performed to further assess the colon. It reported four malignant-appearing lesions in the rectum and sigmoid with suspicious sigmoid and retroperitoneal lymph nodes (figure 2). Question What is the diagnosis? Answer Histology reported Michaelis-Gutmann bodies, diagnostic of colonic malakoplakia (figure 3). Malakoplakia is a granulomatous condition associated with immunosuppression which may present with nodules, polyps or masses at colonoscopy….

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Dicembre 2024

Creatine Likely a Marker, Not a Cause, of Insulin Resistance in Type 2 Diabetes

Creatine—a natural compound in the body that acts as a fuel reservoir—is often elevated in plasma from people with type 2 diabetes, but whether it influences insulin resistance or is a marker for it hasn’t been known. New findings published in Science Translational Medicine suggest that insulin resistance might influence creatine metabolism rather than the other way around.

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Dicembre 2024

Abstract 4145877: Association of heat exposure with cardiovascular and all-cause hospitalizations among elderly adults in the United States

Circulation, Volume 150, Issue Suppl_1, Page A4145877-A4145877, November 12, 2024. Background:Heat exposure is associated with an increase in cardiovascular mortality, particularly among older adults. Climate change has led to an increase in days with hot temperatures. The burden of hospitalizations associated with heat exposure is not well known.Methods:Data on all hospitalizations among Medicare beneficiaries 65 years of age and older in summer months (May through September) for 2016 to 2019 were obtained from Medicare Provider Analysis and Review (MEDPAR) files. Total daily cardiovascular and all-cause hospitalizations in each US county in the contiguous United States (US) were determined and daily county-level maximum heat index levels were obtained from the gridMET dataset. Counties with

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Novembre 2024

Abstract 4124931: Usefulness of the AHEAD Score for Prediction of All-cause Death in Patients With Acute and Chronic Coronary Syndromes

Circulation, Volume 150, Issue Suppl_1, Page A4124931-A4124931, November 12, 2024. Background:The AHEAD (A: atrial fibrillation; H: hemoglobin; E: elderly; A: abnormal renal parameters; D: diabetes mellitus) score has been introduced to predict all-cause death (ACD) in patients with heart failure. There is no information available on the utility of this score for the prediction of ACD in patients with coronary artery disease (CAD).Hypothesis:The AHEAD score may provide superior predictive value for ACD compared to the CHADS2score, which has been reported to be useful for predicting poor clinical outcomes in patients with acute (ACS) and chronic coronary syndromes (CCS).Methods:This retrospective multicenter cohort study analyzed data of the patients who underwent percutaneous coronary intervention for ACS or CCS between April 2013 and March 2019 using the Clinical Deep Data Accumulation System (CLIDAS) database. The AHEAD score was calculated by assigning 1 point each for atrial fibrillation, hemoglobin 130 μmol/L), and diabetes mellitus. The CHADS2score was calculated as previously reported. The study endpoint was ACD.Results:In total, 9,033 patients were enrolled (median age, 72 years; 77% male; 3,920 with ACS and 5,113 with CCS). Higher AHEAD or CHADS2scores were significantly associated with a higher rate of left main disease or three-vessel disease in both patients with ACS and CCS. In addition, after accounting for multiple variables using Cox multivariate analysis, both the AHEAD (hazard ratio [HR], 1.83 [95% confidence interval, 1.63–2.06] for ACS and 1.66 [1.49–1.85] for CCS) and CHADS2scores (HR 1.27 [1.15–1.40] for ACS and 1.23 [1.12–1.35] for CCS) remained significantly associated with ACD. However, receiver operating characteristic curve analysis for predicting ACD revealed that the predictive value of the AHEAD score was significantly higher than that of the CHADS2score in both ACS and CCS (Figure). A significant difference was found in the rate of ACD among patients stratified by the AHEAD score in both groups (bothP

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Novembre 2024