Pleqi, Vasili

ABSTRACT Background Sulfa antibiotic allergy labels (SALs) are encountered frequently in kidney transplant recipients (KTs). This often results in patients receiving second‐line prophylaxis for both Pneumocystis jiroveci and urinary tract infections (UTIs). The effect of SAL on outcomes including UTIs after KT is unclear. Methods In our single‐center retrospective cohort study, we investigated the effect of SALs on bacteriuria after KT. We identified patients with pre‐KT SALs from 2011 to 2022. A matched cohort was then created using KT with no pretransplant SALs. The groups were compared using proportional analysis and univariable and multivariable Cox proportional regression models. The primary outcome of interest was the proportion of individuals experiencing one or more episodes of bacteriuria within 1 year posttransplant. Secondary outcomes included bacteremic UTIs, acute kidney injury, and opportunistic infections. Results We found that the proportion of individuals experiencing bacteriuria within the first‐year posttransplant was significantly greater in the SAL group versus the control group ( n = 21, 28% vs. n = 22, 14.7%, p = 0.012). This result was also seen in univariable and multivariable survival analysis. In addition, episodes of UTI with associated bacteremia ( n = 11, 14.7% vs. n = 5, 3.3%, p = 0.002) were statistically significantly higher in the SAL group. Conclusion There was a significantly greater number of episodes of bacteriuria in the first‐year posttransplant in subjects with pretransplant SAL. Based on our findings, we suggest that all KTs with pretransplant SALs undergo evaluation and intervention prior to transplantation. image

Background: While ‘immuno-competence’ is a well-known term, it lacks an operational definition. To address this omission, this study explored whether the temporal and structured data of the complete blood cell count (CBC) can rapidly estimate immuno-competence. To this end, one or more ratios that included data on all monocytes, lymphocytes and neutrophils were investigated. Materials and methods: Longitudinal CBC data collected from 101 COVID-19 patients (291 observations) were analyzed. Dynamics were estimated with several approaches, which included non-structured (the classic CBC format) and structured data. Structured data were assessed as complex ratios that capture multicellular interactions among leukocytes. In comparing survivors with non-survivors, the hypothesis that immuno-competence may exhibit feedback-like (oscillatory or cyclic) responses was tested. Results: While non-structured data did not distinguish survivors from non-survivors, structured data revealed immunological and statistical differences between outcomes: while survivors exhibited oscillatory data patterns, non-survivors did not. In survivors, many variables (including IL-6, hemoglobin and several complex indicators) showed values above or below the levels observed on day 1 of the hospitalization period, displaying L-shaped data distributions (positive kurtosis). In contrast, non-survivors did not exhibit kurtosis. Three immunologically defined data subsets included only survivors. Because information was based on visual patterns generated in real time, this method can, potentially, provide information rapidly. Discussion: The hypothesis that immuno-competence expresses feedback-like loops when immunological data are structured was not rejected. This function seemed to be impaired in immuno-suppressed individuals. While this method rapidly informs, it is only a guide that, to be confirmed, requires additional tests. Despite this limitation, the fact that three protective (survival-associated) immunological data subsets were observed since day 1 supports many clinical decisions, including the early and personalized prognosis and identification of targets that immunomodulatory therapies could pursue. Because it extracts more information from the same data, structured data may replace the century-old format of the CBC.