Among people living with HIV (PLWH), the prevalence of non-HIV related co-morbidities is increasing. Aim of the present study is to describe co-morbidity and multi-morbidity, their clustering mode ...and the potential disease-disease interactions in a cohort of Italian HIV patients.
Cross-sectional analysis conducted by the Coordinamento Italiano per lo Studio di Allergia e Infezioni da HIV (CISAI) on adult subjects attending HIV-outpatient facilities. Non-HIV co-morbidities included: cardiovascular disease, diabetes mellitus, hypertension, oncologic diseases, osteoporosis, probable case of chronic obstructive pulmonary disease (COPD), hepatitis C virus (HCV) infection, psychiatric illness, kidney disease. Multi-morbidity was defined as the presence of two or more co-morbidities.
One thousand and eighty-seven patients were enrolled in the study (mean age 47.9 ± 10.8). One hundred-ninety patients (17.5%) had no co-morbidity, whereas 285 (26.2%) had one condition and 612 (56.3%) were multi-morbid. The most recurrent associations were: 1) dyslipidemia + hypertension (237, 21.8%); 2) dyslipidemia + COPD (188, 17.3%); 3) COPD + HCV-Ab+ (141, 12.9%). Multi-morbidity was associated with older age, higher body mass index, current and former smoking, CDC stage C and longer ART duration.
More than 50% of PLHW were multi-morbid and about 30% had three or more concurrent comorbidities. The identification of common patterns of comorbidities address the combined risks of multiple drug and disease-disease interactions.
Menopause is a pivotal period during which loss of ovarian hormones increases cardiometabolic risk and may also influence the gut microbiome. However, the menopause-microbiome relationship has not ...been examined in a large study, and its implications for cardiometabolic disease are unknown. In the Hispanic Community Health Study/Study of Latinos, a population with high burden of cardiometabolic risk factors, shotgun metagenomic sequencing was performed on stool from 2,300 participants (295 premenopausal women, 1,027 postmenopausal women, and 978 men), and serum metabolomics was available on a subset. Postmenopausal women trended toward lower gut microbiome diversity and altered overall composition compared to premenopausal women, while differing less from men, in models adjusted for age and other demographic/behavioral covariates. Differentially abundant taxa for post- versus premenopausal women included
sp. strain
, Prevotella marshii, and Sutterella wadsworthensis (enriched in postmenopause) and Escherichia coli
spp.,
sp. strain
, Akkermansia muciniphila, Clostridium lactatifermentans, Parabacteroides johnsonii, and Veillonella seminalis (depleted in postmenopause); these taxa similarly differed between men and women. Postmenopausal women had higher abundance of the microbial sulfate transport system and decreased abundance of microbial β-glucuronidase; these functions correlated with serum progestin metabolites, suggesting involvement of postmenopausal gut microbes in sex hormone retention. In postmenopausal women, menopause-related microbiome alterations were associated with adverse cardiometabolic profiles. In summary, in a large U.S. Hispanic/Latino population, menopause is associated with a gut microbiome more similar to that of men, perhaps related to the common condition of a low estrogen/progesterone state. Future work should examine similarity of results in other racial/ethnic groups.
The menopausal transition, marked by declining ovarian hormones, is recognized as a pivotal period of cardiometabolic risk. Gut microbiota metabolically interact with sex hormones, but large population studies associating menopause with the gut microbiome are lacking. Our results from a large study of Hispanic/Latino women and men suggest that the postmenopausal gut microbiome in women is slightly more similar to the gut microbiome in men and that menopause depletes specific gut pathogens and decreases the hormone-related metabolic potential of the gut microbiome. At the same time, gut microbes may participate in sex hormone reactivation and retention in postmenopausal women. Menopause-related gut microbiome changes were associated with adverse cardiometabolic risk in postmenopausal women, indicating that the gut microbiome contributes to changes in cardiometabolic health during menopause.
SARS-CoV-2 is constantly evolving, leading to new variants. We analysed data from 4400 SARS-CoV-2-positive samples in order to pursue epidemiological variant surveillance and to evaluate their impact ...on public health in Italy in the period of April-December 2021. The main circulating strain (76.2%) was the Delta variant, followed by the Alpha (13.3%), the Omicron (5.3%), and the Gamma variants (2.9%). The B.1.1 lineages, Eta, Beta, Iota, Mu, and Kappa variants, represented around 1% of cases. There were 48.2% of subjects who had not been vaccinated, and they had a lower median age compared to the vaccinated subjects (47 vs. 61 years). An increasing number of infections in the vaccinated subjects were observed over time, with the highest proportion in November (85.2%). The variants correlated with clinical status; the largest proportion of symptomatic patients (59.6%) was observed with the Delta variant, while subjects harbouring the Gamma variant showed the highest proportion of asymptomatic infection (21.6%), albeit also deaths (5.4%). The Omicron variant was only found in the vaccinated subjects, of which 47% had been hospitalised. The diffusivity and pathogenicity associated with the different SARS-CoV-2 variants are likely to have relevant public health implications, both at the national and international levels. Our study provides data on the rapid changes in the epidemiological landscape of the SARS-CoV-2 variants in Italy.
Abstract Background Delirium is a rather common complication among patients admitted in intensive care units (ICUs), and rather than a single entity, it can be considered a spectrum of diseases ...where, besides overt cases, there are also many subsyndromal forms. Although there are many data about ICU delirium, there are few data concerning this complication in patients transferred from the ICU to a step-down unit (SDU) once clinically stable. Objectives With the present study, we wanted to assess the incidence of and risk factors for delirium and subsyndromal forms and their impact on clinical outcome in a group of patients transferred from an ICU to an SDU. Methods All patients transferred from an ICU to our SDU over a 2-year period were screened for delirium and subsyndromal delirious forms using the Intensive Care Delirium Screening Checklist, a simple tool already validated in the ICU. The following data were also recorded: demographic data, severity score (SAPS II), reason for admission to the SDU, length of stay, death rate, use of sedatives, impact of delirium on weaning from mechanical ventilation (MV). Results Among the 234 patients, the incidence of delirium and subsyndromal forms was 7.6% and 20%, respectively. Subsyndromal forms diagnosed at admission represented a risk factor for the subsequent development of delirium (odds ratio OR, P < .0001). A previous episode of brain failure during ICU stay and older age were risks factors for the development of subsyndromal forms, whereas not needing MV was a protective factor. Delirium significantly prolonged the stay in the SDU but did not influence survival and the process of weaning from MV. Overall, the percentage of patients with an abnormal Intensive Care Delirium Screening Checklist score at discharge (5%) was reduced compared with that recorded at admission (18%). Conclusions Delirium may still occur after discharge from an ICU in patients who are transferred to an SDU. The strategy of care adopted in the SDU seems to positively affect the recovery from a delirious state. Patients with subsyndromal forms should be promptly recognized and treated because of the risk of developing delirium. Weaning from MV is not hindered by delirium.
(1) Background: Venous thromboembolism (VTE) is a frequent complication in ambulatory lung cancer patients during chemotherapy and is associated with increased mortality. (2) Methods: We analyzed 568 ...newly diagnosed metastatic lung cancer patients prospectively enrolled in the HYPERCAN study. Blood samples collected before chemotherapy were tested for thrombin generation (TG) and a panel of hemostatic biomarkers. The Khorana risk score (KRS), new-Vienna CATS, PROTECHT, and CONKO risk assessment models (RAMs) were applied. (3) Results: Within 6 months, the cumulative incidences of VTE and mortality were 12% and 29%, respectively. Patients with VTE showed significantly increased levels of D-dimer, FVIII, prothrombin fragment 1 + 2, and TG. D-dimer and ECOG performance status were identified as independent risk factors for VTE and mortality by multivariable analysis and utilized to generate a risk score that provided a cumulative incidence of VTE of 6% vs. 25%, death of 19% vs. 55%, and in the low- vs. high-risk group, respectively (p < 0.001). While all published RAMs significantly stratified patients for risk of death, only the CATS and CONKO were able to stratify patients for VTE. (4) Conclusions: A new prediction model was generated to stratify lung cancer patients for VTE and mortality risk, where other published RAMs failed.
Abstract
Objectives
Our aim was to investigate the durability of different initial regimens in patients starting ART with CD4+ counts <200 cells/mm3 and HIV-RNA >5 log10 copies/mL.
Methods
This was a ...retrospective study of HIV-infected patients prospectively followed in the ICONA cohort. Those who started ART with boosted protease inhibitors (bPIs), NNRTIs or integrase strand transfer inhibitors (InSTIs), with CD4+ <200 cells/mm3 and HIV-RNA >5 log10 copies/mL, were included. The primary endpoint was treatment failure (TF), a composite endpoint defined as virological failure (VF, first of two consecutive HIV-RNA >50 copies/mL after 6 months of treatment), discontinuation of class of the anchor drug or death. Independent associations were investigated by Poisson regression analysis in a model including age, gender, mode of HIV transmission, CDC stage, HCV and HBV co-infection, pre-treatment HIV-RNA, CD4+ count and CD4+/CD8+ ratio, ongoing opportunistic disease, fibrosis FIB-4 index, estimated glomerular filtration rate, haemoglobin, platelets, neutrophils, calendar year of ART initiation, anchor drug class (treatment group) and nucleos(t)ide backbone.
Results
A total of 1195 patients fulfilled the inclusion criteria: 696 started ART with a bPI, 315 with an InSTI and 184 with an NNRTI. During 2759 person-years of follow up, 642 patients experienced TF. Starting ART with bPIs adjusted incidence rate ratio (aIRR) (95% CI) 1.62 (1.29–2.03) versus starting with NNRTIs; P < 0.001 and starting ART with InSTIs aIRR (95% CI) 0.68 (0.48–0.96) versus starting with NNRTIs; P = 0.03 were independently associated with TF.
Conclusions
In patients starting ART with <200 CD4+ cells/mm3 and >5 log10 HIV-RNA copies/mL, the durability of regimens based on InSTIs was longer than that of NNRTI- and bPI-based regimens.
Objectives
The aim of this study was to assess the incidence of being overweight and metabolic syndrome (MS) among people living with HIV (PHIV) in three different cross‐sectional studies conducted ...over three different periods: 2005, 2011 and 2015.
Methods
This was a multi‐centre, nationwide study. Data were collected in three studies from the CISAI group – SIMOne, HIV‐HY and STOPSHIV – and included a total of 3014 PHIV.
Logistic regression odds ratio (OR), 95% confidence interval (CI) was used to account for age and gender difference among three groups when comparing MS prevalence and being overweight; potential confounders were accounted for by including them in the regression equation.
Results
Overall, the mean age was 46.9 ± 10.2 years, and men comprised 73.3% of participants. Comparing 2005, 2011 and 2015, MS was present in 34.5%, 33.0% and 29.3% of PHIV, respectively. Adjusted OR for MS was 0.64 (95% CI: 0.52–0.78) in 2011 and 0.56 (95% CI: 0.46–0.69) in 2015 compared with 2005, while BMI (kg/m2) increased from 23.6 in 2005, 24.5 in 2011 and 24.5 in 2015, with a concomitant increase of being overweight from 29.4% to 39.5% to 39.6% (p < 0.0001).
Conclusions
In recent years, PHIV have had a significantly improved metabolic profile compared with previously, despite increasing weight and BMI.
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