Individual factors including age, BMI and heritable factors underlie temperature variation in sickness and in health: an observational, multi-cohort study

Development and validation of a prediction model for intrapartum fever related to chorioamnionitis in parturients undergoing epidural analgesia

Intrapartum fever is a common complication in parturients undergoing epidural analgesia (EA), significantly increasing the incidence of maternal and infant complications. This study aims to develop and validate a prediction model for intrapartum fever related to chorioamnionitis (IFTC) in parturients undergoing epidural analgesia. A total of 596 parturients with fever (axillary temperature ≥ 38℃) who received EA from January 2020 to December 2023 were included and randomly assigned to the training set (N = 417) and the validation set (N = 179) according to the ratio of 7:3. The independent risk factors were screened by univariate and multivariate logistic regression analysis to develop a nomogram model. Decision curve analysis (DCA) was used to evaluate the clinical effectiveness and discrimination of the model; calibration curve was used to assess the accuracy of the model. Maximum temperature, meconium-stained amniotic fluid, C-reactive protein (CRP), gestational age and BMI were independent risk factors for predicting IFTC, and the area under receiver operating characteristic curve (AUC) of the training set and the validation set were 0.744 (0.691-0.796) and 0.793 (0.714-0.872), respectively. The calibration curve showed good consistency between predicted and actual results. DCA curve showed that the model had clinical value throughout a broad threshold probability range. The nomogram prediction model based on CRP, meconium-stained amniotic fluid, maximum temperature, gestational age and BMI has good predictive performance for the risk of IFTC in EA parturients.

Delirium Incidence and Predictors in SARS-CoV-2 Vaccinated Residents in Long-Term Care Facilities (LTCF): Insights from the GeroCovid Vax Study

OBJECTIVE

SARS-CoV-2 vaccination can bring an important benefit for older people in terms of reduction of mortality and hospitalization; however, reports of rare adverse effects like altered consciousness and delirium among this demographic have raised concerns. This study aimed to assess delirium incidence post-SARS-CoV-2 vaccination and its predictors in older residents across 60 Italian long-term care facilities (LTCFs).

DESIGN

This is a prospective cohort study considering data from GeroCovid Vax, a multicenter cohort study jointly performed by the Italian Society of Gerontology and Geriatrics (SIGG) (Florence, Italy) and the Italian National Institute of Health (Istituto Superiore di Sanità-ISS, Rome, Italy), and sponsored by the Italian Medicines Agency (Agenzia Italiana del Farmaco-AIFA).

SETTING AND PARTICIPANTS

GeroCovid Vax enrolled LTCFs residents aged ≥60 who received at least 1 anti-SARS-CoV-2 vaccine dose.

METHODS

Baseline data covered sociodemographic details, chronic diseases, medications, nutritional status, cognitive and functional assessments, mobility, and frailty. Delirium was assessed post-first, second, and booster vaccine doses using DSM-5 criteria. Data analysis involved descriptive statistics, multivariate logistic regression, and network analysis.

RESULTS

A total of 2521 participants (mean age 83.10 ± 9.21 years, 70.7% female) were analyzed. Delirium incidence post-first, second, and booster doses was 3.5%, 1.6%, and 1.5%, respectively. Age, preexisting cognitive disorders, and frailty were significant predictors of delirium, with odds ratios (ORs) of 1.70 (95% CI, 1.08-2.77), 2.05 (95% CI, 1.40-2.97), and 1.77 (95% CI, 1.25-2.52), respectively. Prior use of antipsychotics (OR, 1.75; 95% CI, 1.22-2.51) and antidepressants (OR, 1.77; 95% CI, 1.25-2.52) correlated significantly with delirium. Network analysis indicated a strong association between anorexia and delirium.

CONCLUSION AND IMPLICATIONS

Post-vaccination delirium is infrequent and decreases with subsequent doses. Timely assessments for frailty and cognitive impairment could aid in stratifying delirium risk among LTCF residents, facilitating enhanced prevention measures and close monitoring for delirium indicators.

Geroscience and pathology: a new frontier in understanding age-related diseases

Geroscience, a burgeoning discipline at the intersection of aging and disease, aims to unravel the intricate relationship between the aging process and pathogenesis of age-related diseases. This paper explores the pivotal role played by geroscience in reshaping our understanding of pathology, with a particular focus on age-related diseases. These diseases, spanning cardiovascular and cerebrovascular disorders, malignancies, and neurodegenerative conditions, significantly contribute to the morbidity and mortality of older individuals. We delve into the fundamental cellular and molecular mechanisms underpinning aging, including mitochondrial dysfunction and cellular senescence, and elucidate their profound implications for the pathogenesis of various age-related diseases. Emphasis is placed on the importance of assessing key biomarkers of aging and biological age within the realm of pathology. We also scrutinize the interplay between cellular senescence and cancer biology as a central area of focus, underscoring its paramount significance in contemporary pathological research. Moreover, we shed light on the integration of anti-aging interventions that target fundamental aging processes, such as senolytics, mitochondria-targeted treatments, and interventions that influence epigenetic regulation within the domain of pathology research. In conclusion, the integration of geroscience concepts into pathological research heralds a transformative paradigm shift in our understanding of disease pathogenesis and promises breakthroughs in disease prevention and treatment.

Gram-negative infections in frail patients

Introduction

Gram-negative infections (GNIs) are frequently encountered both in community and hospital settings. Frail patients, defined as elderly individuals with multiple comorbidities, are particularly vulnerable to them. The presentation and the course of GNIs differ in aged patients compared with younger ones, making their management a unique challenge. This review aimed to outline the essential elements of the presentation, diagnosis, and outcome of GNIs in frail individuals.

Methods

MEDLINE/PubMed library search was performed using the following terms: frail, frailty, elderly, Gram-negative, infections, pneumonia, urinary tract infection, and bloodstream infection for the purpose of the review.

Conclusions

Elderly patients with multimorbidity represent a distinct population with relevant differences in GNIs presentation, diagnosis, and outcome. Several pitfalls should be avoided and appropriately addressed when facing GNIs in this group of patients. Future studies focusing on this population should be encouraged.