Grapefruit juice (GFJ) is known to affect the bioavailability of drugs in different ways. Despite the influence on gastrointestinal enzymes and transporters, the influence on gastrointestinal fluid kinetics is regarded to be relevant for the absorption of several drugs. Thus, it was the aim of this pilot study to investigate the gastric and intestinal volumes after intake of GFJ compared to isocaloric fructose and glucose solutions and water. The gastric and small intestinal volume kinetics after intake of 240 mL of GFJ, 10.6% fructose solution, 10.6% glucose solution, and water were investigated with magnetic resonance imaging in a four-way crossover study in six healthy human volunteers. The carbohydrate content of the administered beverages was quantified by high-performance liquid chromatography. Even with the small sample size of this pilot study, the gastric emptying of GFJ and the glucose solution was significantly slower than that of water. The fructose solution had only a slightly delayed gastric emptying. Small bowel water content was increased by administration of GFJ and fructose solution, whereas it was decreased by glucose compared to the administration of pure water. At 80 min the small bowel water content after GFJ was twice as high as the small bowel water content after administration of water. The observed influence of GFJ on gastrointestinal fluid kinetics may explain certain phenomena in drugs pharmacokinetics. The effect is double edged, as the slower gastric emptying and increased intestinal filling can lead to enhanced or altered absorption. Due to the comparability of fruit juices, a general effect of fruit juices on gastrointestinal volumes is likely.
Background Health authorities have struggled to increase vaccination uptake since the COVID-19 vaccines became available. However, there have been increasing concerns about declining immunity after the initial COVID-19 vaccination with the emergence of new variants. Booster doses were implemented as a complementary policy to increase protection against COVID-19. Egyptian hemodialysis (HD) patients have shown a high rate of hesitancy to COVID-19 primary vaccination, yet their willingness to receive booster doses is unknown. This study aimed to assess COVID-19 vaccine booster hesitancy and its associated factors in Egyptian HD patients. Methods A face-to-face interview was conducted with closed-ended questionnaires distributed to healthcare workers in seven Egyptian HD centers, mainly located in three Egyptian governorates, between the 7th of March and the 7th of April 2022. Results Among 691 chronic HD patients, 49.3% (n = 341) were willing to take the booster dose. The main reason for booster hesitancy was the opinion that a booster dose is unnecessary (n = 83, 44.9%). Booster vaccine hesitancy was associated with female gender, younger age, being single, Alexandria and urban residency, the use of a tunneled dialysis catheter, not being fully vaccinated against COVID-19. Odds of booster hesitancy were higher among participants who did not receive full COVID-19 vaccination and among those who were not planning to take the influenza vaccine (10.8 and 4.2, respectively). Conclusion COVID-19 booster-dose hesitancy among HD patients in Egypt represents a major concern, is associated with vaccine hesitancy with respect to other vaccines and emphasizes the need to develop effective strategies to increase vaccine uptake. Graphical abstract
Aim: To identify the predictors of in-hospital mortality in patients with coronavirus disease of 2019 (COVID-19) and acute renal impairment (ARI) or chronic kidney disease (CKD), and to evaluate the performance and inter-reader concordance of chest CT total severity scores (TSSs). Methods: This retrospective single-center study was conducted on symptomatic COVID-19 patients with renal impairment (either acute or chronic) and a serum creatinine of >2 mg/dL at the time of admission. The patients’ demographic characteristics, clinical data, and laboratory data were extracted from the clinical computerized medical records. All chest CT images obtained at the time of hospital admission were analyzed. Two radiologists independently assessed the pulmonary abnormalities and scored the severity using CT chest total severity score (TSS). Univariate logistic regression analysis was used to determine factors associated with in-hospital mortality. A receiver operating characteristic (ROC) curve analysis was performed for the TSS in order to identify the cut-off point that predicts mortality. Bland–Altman plots were used to evaluate agreement between the two radiologists assessing TSS. Results: A total of 100 patients were included, with a mean age of 60 years, 54 were males, 53 had ARI, and 47 had CKD. In terms of in-hospital mortality, 60 patients were classified in the non-survivor group and 40 were classified in the survivor group. The mortality rate was higher for those with ARI compared to those with CKD (p = 0.033). The univariate regression analysis showed an increasing odds of in-hospital mortality associated with higher respiratory rate (OR 1.149, 95% CI 1.057–1.248, p = 0.001), total bilirubin (OR 2.532, 95% CI 1.099–5.836, p = 0.029), lactate dehydrogenase (LDH) (OR 1.001, 95% CI 1.000–1.003, p = 0.018), CRP (OR 1.010, 95% CI 1.002–1.017, p = 0.012), invasive mechanical ventilation (MV) (OR 7.667, 95% CI 2.118–27.755, p = 0.002), a predominant pattern of pulmonary consolidation (OR 21.714, 95% CI 4.799–98.261, p < 0.001), and high TSS (OR 2.082, 95% CI 1.579–2.745, p < 0.001). The optimum cut-off value of TSS used to predict in-hospital mortality was 8.5 with a sensitivity of 86.7% and a specificity of 87.5%. There was excellent interobserver agreement (ICC > 0.9) between the two independent radiologists in their quantitative assessment of pulmonary changes using TSS. Conclusions: In-hospital mortality is high in COVID-19 patients with ARI/CKD, especially for those with ARI. High serum bilirubin, a predominant pattern of pulmonary consolidation, and TSS are the most significant predictors of mortality in these patients. Patients with a higher TSS may require more intensive hospital care. TSS is a reliable and helpful auxiliary tool for risk stratification among COVID-19 patients with ARI/CKD.
Introduction: With the evolution of SARS-CoV-2 pandemic, it was believed to be a direct respiratory virus. But, its deleterious effects were observed on different body systems, including kidneys. Aim of Work: In this review, we tried as much as we can to summarize what has been discussed in the literature about the relation between SARS-CoV-2 infection and kidneys since December, 2019.Methods: Each part of the review was assigned to one or two authors to search for relevant articles in three databases (Pubmed, Scopus, and Google scholar) and collected data were summarized and revised by two independent researchers. Conclusion:The complexity of COVID-19 pandemic and kidney could be attributed to the direct effect of SARS-CoV-2 infection on the kidneys, different clinical presentation, difficulties confronting dialysis patients, restrictions of the organ transplant programs, poor outcomes and bad prognosis in patients with known history of kidney diseases who got infected with SARS-CoV-2.
Background and Aims Lupus nephritis (LN) is a common complication of systemic lupus erythematosus (SLE) that is associated with poor prognosis. The current available urinary biomarkers are neither sensitive nor specific for diagnosing LN. This study was undertaken to investigate whether urinary hepcidin represents a marker of nephritis in SLE patients. Method A cross-sectional study was conducted with 3 study groups compromising 30 patients with biopsy proven LN, 30 patients with non-nephritis SLE and 20 healthy control. Spot urinary samples were collected from all participants and the levels of hepcidin in urine were measured by ELISA, 24 h urinary proteins, urinary and serum creatinine were measured. Results Urinary hepcidin was significantly higher in LN patients than in non-nephritis SLE and control (470, 258, 43.0 ng/mg creatinine respectively) (P < 0.001) as shown in figure 1. Urinary hepcidin was significantly correlated with serum creatinine (P 0.017) and 24 hours urinary proteins (P 0.003). ROC curve cut-off values of urinary hepcidin were 4.3000, Area under curve (AUC) of hepcidin was 0.553, with sensitivity (SN) of 63.3%, specificity (SP) of 60%, Positive predictive value (PPV) 70.4, negative predictive value (NPV) 52.2 in SLE patients as shown in table 1 and figure 2. Conclusion Although urinary hepcidin level was significantly higher in LN patients than in non-nephritis SLE and control, it failed to discriminate patients with LN from those without. Further studies are still needed before considering urinary hepcidin as a non-invasive diagnostic marker of LN.
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