Gut Microbiota, Muscle Mass and Function in Aging: A Focus on Physical Frailty and Sarcopenia.

Human gut microbiota is able to influence the host physiology by regulating multiple processes, including nutrient absorption, inflammation, oxidative stress, immune function, and anabolic balance. Aging is associated with reduced microbiota biodiversity, increased inter-individual variability, and over-representation of pathobionts, and these phenomena may have great relevance for skeletal muscle mass and function. For this reason, the presence of a gut-muscle axis regulating the onset and progression of age-related physical frailty and sarcopenia has been recently hypothesized. In this narrative review, we summarize the studies supporting a possible association between gut microbiota-related parameters with measures of muscle mass, muscle function, and physical performance in animal models and humans. Reduced muscle mass has been associated with distinct microbiota composition and reduced fermentative capacity in mice, and the administration of probiotics or butyrate to mouse models of muscle wasting has been associated with improved muscle mass. However, no studies have targeted the human microbiome associated with sarcopenia. Limited evidence from human studies shows an association between microbiota composition, involving key taxa such as Faecalibacterium and Bifidobacterium, and grip strength. Similarly, few studies conducted on patients with parkinsonism showed a trend towards a different microbiota composition in those with reduced gait speed. No studies have assessed the association of fecal microbiota with other measures of physical performance. However, several studies, mainly with a cross-sectional design, suggest an association between microbiota composition and frailty, mostly assessed according to the deficit accumulation model. Namely, frailty was associated with reduced microbiota biodiversity, and lower representation of butyrate-producing bacteria. Therefore, we conclude that the causal link between microbiota and physical fitness is still uncertain due to the lack of targeted studies and the influence of a large number of covariates, including diet, exercise, multimorbidity, and polypharmacy, on both microbiota composition and physical function in older age. However, the relationship between gut microbiota and physical function remains a very promising area of research for the future.

Application of The Sepsis-3 Consensus Criteria in a Geriatric Acute Care Unit: A Prospective Study.

The prognostic value of quick Sepsis-related Organ Failure Assessment (qSOFA) score in geriatric patients is uncertain. We aimed to compare qSOFA vs. Systemic Inflammatory Response Syndrome (SIRS) criteria for mortality prediction in older multimorbid subjects, admitted for suspected sepsis in a geriatric ward. We prospectively enrolled 272 patients (aged 83.7 ± 7.4). At admission, qSOFA and SIRS scores were calculated. Mortality was assessed during hospital stay and three months after discharge. The predictive capacity of qSOFA and SIRS was assessed by calculating the Area Under the Receiver Operating Characteristic Curve (AUROC), through pairwise AUROC comparison, and multivariable logistic regression analysis. Both qSOFA and SIRS exhibited a poor prognostic performance (AUROCs 0.676, 95% CI 0.609⁻0.738, and 0.626, 95% CI 0.558⁻0.691 for in-hospital mortality; 0.684, 95% CI 0.614⁻0.748, and 0.596, 95% CI 0.558⁻0.691 for pooled three-month mortality, respectively). The predictive capacity of qSOFA showed no difference to that of SIRS for in-hospital mortality (difference between AUROCs 0.05, 95% CI -0.05 to 0.14, p = 0.31), but was superior for pooled three-month mortality (difference between AUROCs 0.09, 95% CI 0.01⁻0.17, p = 0.029). Multivariable logistic regression analysis, accounting for possible confounders, including frailty, showed that both scores were not associated with in-hospital mortality, although qSOFA, unlike SIRS, was associated with pooled three-month mortality. In conclusion, neither qSOFA nor SIRS at admission were strong predictors of mortality in a geriatric acute-care setting. Traditional geriatric measures of frailty may be more useful for predicting adverse outcomes in this setting.

Digestive disorders and Intestinal microbiota.

In the last decade, a barge body of scientific literature has suggested that specific alterations of the gut microbiota may be associated with ther development and clinical course of several gastrointestinal diseases, including irritable bowel syndrome, inflammatory bowel disease, celiac disease, gastrointestinal cancer and Clostridium difficile infection. These alterations are often referred to as "dysbiosis", a generic term designing reduction of gut microbiota biodiversity and alterations in its composition. Here, we provide a synthetic overview of the key concepts on the relationship between intestinal microbiota and gastrointestinal diseases, focusing on the translation of these concepts into clinical practice.

Thirty and ninety days mortality predictive value of admission and in-hospital procalcitonin and mid-regional pro-adrenomedullin testing in patients with dyspnea. Results from the VERyfing DYspnea trial.

INTRODUCTION: Mid-regional pro-atrial natriuretic peptide (MR-proANP), procalcitonin (PCT), and mid-regional pro-adrenomedullin (MR-proADM) demonstrated usefulness for management of emergency department patients with dyspnea. METHODS: To evaluate in patients with dyspnea, the prognostic value for 30 and 90 days mortality and readmission of PCT, MR-proADM, and MR-proANP, a multicenter prospective study was performed evaluating biomarkers at admission, 24 and 72 hours after admission. Based on final diagnosis, patients were divided into acute heart failure (AHF), primary lung diseases, or both (AHF + NO AHF). RESULTS: Five hundred one patients were enrolled. Procalcitonin and MR-proADM values at admission and at 72 hours were significantly (P < .001) predictive for 30-day mortality: baseline PCT with an area under the curve (AUC) of 0.70 and PCT at 72 hours with an AUC of 0.61; baseline MR-proADM with an AUC of 0.62 and MR-proADM at 72 hours with an AUC of 0.68. As for 90-day mortality, both PCT and MR-proADM baseline and 72 hours values showed a significant (P < .0001) predictive ability: baseline PCT with an AUC of 0.73 and 72 hours PCT with an AUC of 0.64; baseline MR-proADM with an AUC of 0.66 and 72 hours MR-proADM with an AUC of 0.71. In AHF, group biomarkers predicted rehospitalization and mortality at 90 days, whereas in AHF + NO AHF group, they predict mortality at 30 and 90 days. CONCLUSIONS: In patients admitted for dyspnea, assessment of PCT plus MR-proADM improves risk stratification and management. Combined use of biomarkers is able to predict in the total cohort both rehospitalization and death at 30 and 90 days.