Cross-sectional analysis of a cohort of people over 65 years of age living with HIV.

INTRODUCTION: This study aims to describe and analyze the characteristics of aged people who are living with HIV (APHIV) and evaluate their association on the comorbidities they currently have. METHODS: Cross-sectional analysis of APHIV under active follow-up at the Infectious Diseases Unit of the University Clinical Hospital of Santiago de Compostela. Demographic and clinical data were analyzed, along with their association with the development of comorbidities in this population. A correlation and multiple linear regression analysis were performed for this purpose. RESULTS: Eighty-five APHIV, 65 males and 20 females, with an average age of 69 years (IQR 8) and a duration of living with HIV of 17 years (SD 7), were studied. 41% of them had their initial diagnosis with AIDS. The most common comorbidities are hypertension and dyslipidemia in 55% and 52%, respectively. 40% of APHIV take at least 5 medications. 35% have received more than 5 lines of antiretroviral treatment. At the time of analysis, all APHIV have an undetectable viral load. No significant association was observed between the number of comorbidities and various characteristics of APHIV; however, a weak correlation was noted among age, the cumulative number of antiretroviral treatments received throughout their lives, and the number of comorbidities. CONCLUSIONS: This analysis highlights the substantial burden of comorbidities and polypharmacy experienced by APHIV. Further studies are needed to better understand the characteristics and variables influencing their development.

Longitudinal relationship of liver injury with inflammation biomarkers in COVID-19 hospitalized patients using a joint modeling approach.

The mechanisms underlying liver disease in patients with COVID-19 are not entirely known. The aim is to investigate, by means of novel statistical techniques, the changes over time in the relationship between inflammation markers and liver damage markers in relation to survival in COVID-19. The study included 221 consecutive patients admitted to the hospital during the first COVID-19 wave in Spain. Generalized additive mixed models were used to investigate the influence of time and inflammation markers on liver damage markers in relation to survival. Joint modeling regression was used to evaluate the temporal correlations between inflammation markers (serum C-reactive protein [CRP], interleukin-6, plasma D-dimer, and blood lymphocyte count) and liver damage markers, after adjusting for age, sex, and therapy. The patients who died showed a significant elevation in serum aspartate transaminase (AST) and alkaline phosphatase levels over time. Conversely, a decrease in serum AST levels was observed in the survivors, who showed a negative correlation between inflammation markers and liver damage markers (CRP with serum AST, alanine transaminase [ALT], and gamma-glutamyl transferase [GGT]; and D-dimer with AST and ALT) after a week of hospitalization. Conversely, most correlations were positive in the patients who died, except lymphocyte count, which was negatively correlated with AST, GGT, and alkaline phosphatase. These correlations were attenuated with age. The patients who died during COVID-19 infection displayed a significant elevation of liver damage markers, which is correlated with inflammation markers over time. These results are consistent with the role of systemic inflammation in liver damage during COVID-19.

Performance of Xpert MTB/RIF Ultra for tuberculosis diagnosis in the context of passive and active case finding.

AIMS: We present a field evaluation of the diagnostic accuracy of Xpert MTB/RIF ("Xpert") and Xpert MTB/RIF Ultra ("Ultra") using two cohorts in a high tuberculosis/HIV burden setting in Southern Mozambique. METHODS: Single respiratory specimens from symptomatic adults accessing healthcare services (passive case finding (PCF) cohort) and from household and community close contacts (active case finding (ACF) cohort) were tested by smear microscopy, culture, Xpert and Ultra. Liquid and solid culture served as a composite reference standard. We explored the impact of trace results on specificity via their recategorisation to negative (in all and just among those previously treated individuals). RESULTS: 1419 and 252 participants were enrolled in the PCF and ACF cohorts, respectively. For the PCF cohort, Ultra showed higher sensitivity than Xpert overall (0.95 (95% CI 0.90-0.98) versus 0.88 (96% CI 0.82-0.93); p<0.001) and among smear-negative patients (0.84 (96% CI 0.71-0.93) versus 0.63 (96% CI 0.48-0.76)). Ultra's specificity was lower than Xpert's (0.96 (96% CI 0.95-0.97) versus 0.98 (96% CI 0.97-0.99); p=0.008). For ACF, sensitivities were the same (0.67 (95% CI 0.22-0.96) for both tests), although Ultra detected a higher number of microbiologically confirmed samples than Xpert (4.7% (12 out of 252) versus 2.7% (seven out of 252)). Conditional recategorisation of trace results among previously treated participants maintained differences in specificity in the PCF cohort. CONCLUSION: These results add evidence on the improved sensitivity of Ultra and support its use in different case finding scenarios.

Development and validation of a clinical score to estimate progression to severe or critical state in COVID-19 pneumonia hospitalized patients.

The prognosis of a patient with COVID-19 pneumonia is uncertain. Our objective was to establish a predictive model of disease progression to facilitate early decision-making. A retrospective study was performed of patients admitted with COVID-19 pneumonia, classified as severe (admission to the intensive care unit, mechanic invasive ventilation, or death) or non-severe. A predictive model based on clinical, laboratory, and radiological parameters was built. The probability of progression to severe disease was estimated by logistic regression analysis. Calibration and discrimination (receiver operating characteristics curves and AUC) were assessed to determine model performance. During the study period 1152 patients presented with SARS-CoV-2 infection, of whom 229 (19.9%) were admitted for pneumonia. During hospitalization, 51 (22.3%) progressed to severe disease, of whom 26 required ICU care (11.4); 17 (7.4%) underwent invasive mechanical ventilation, and 32 (14%) died of any cause. Five predictors determined within 24 h of admission were identified: Diabetes, Age, Lymphocyte count, SaO2, and pH (DALSH score). The prediction model showed a good clinical performance, including discrimination (AUC 0.87 CI 0.81, 0.92) and calibration (Brier score = 0.11). In total, 0%, 12%, and 50% of patients with severity risk scores ≤ 5%, 6-25%, and > 25% exhibited disease progression, respectively. A risk score based on five factors predicts disease progression and facilitates early decision-making according to prognosis.

Sphingobacterium multivorum: An Atypical Bacterium in an Atypical Place.

We present the case of a 75-year-old woman admitted to hospital because of an infected pressure ulcer. Cultures revealed that the responsible bacterium was Sphingobacterium multivorum, which was successfully eradicated with ciprofloxacin. Over the last few years, there have been reports of new cases of infection caused by bacteria previously not thought to be harmful to humans, like S. multivorum. Previous cases were reported mostly in immunosuppressed patients and the present report is, to our knowledge, the first describing a pressure ulcer infected by this bacterium. LEARNING POINTS: Bacteria previously not thought to be harmful to humans can cause disease.Sphingobacterium multivorum should be considered a potential cause of pressure ulcer infection.As S. multivorum may be resistant to many antibiotics, complete susceptibility testing should be mandatory.