BMC Nephrology最新文献

Background: Hypertensive emergency is a critical disease that causes multiple organ injuries. Although the renin-angiotensin-aldosterone system (RAS) is enormously activated in this disorder, whether the RAS contributes to the development of the organ damage has not been fully elucidated. This cross-sectional study was conducted to characterize the association between RAS and the organ damage in patients with hypertensive emergencies.

Methods: We enrolled 63 patients who visited our medical center with acute severe hypertension and multiple organ damage between 2012 and 2020. Hypertensive target organ damage was evaluated on admission, including severe kidney impairment (eGFR less than 30 mL/min/1.73 m², SKI), severe retinopathy, concentric left ventricular hypertrophy (c-LVH), thrombotic microangiopathy (TMA), heart failure with reduced ejection fraction (HFrEF) and cerebrovascular disease. Then, whether each organ injury was associated with blood pressure or a plasma aldosterone concentration was analyzed.

Results: Among 63 patients, 31, 37, 43 and 8 cases manifested SKI, severe retinopathy, c-LVH and ischemic stroke, respectively. All populations with the organ injuries except cerebral infarction had higher plasma aldosterone concentrations than the remaining subset but exhibited a variable difference in systolic or diastolic blood pressure. Twenty-two patients had a triad of SKI, severe retinopathy and c-LVH, among whom 5 patients manifested TMA. Furthermore, the number of the damaged organs was correlated with plasma aldosterone levels (Spearman's coefficient = 0.50), with a strong association observed between plasma aldosterone (≥ 250 pg/mL) and 3 or more complications (odds ratio = 9.16 [95%CI: 2.76-30.35]).

Conclusion: In patients with hypertensive emergencies, a higher aldosterone level not only contributed to the development of the organ damage but also was associated with the number of damaged organs in each patient.

Background: Chronic kidney disease (CKD) poses significant health risks due to its asymptomatic nature in early stages and its association with increased cardiovascular and kidney events. Early detection and management are critical for improving outcomes.

Objective: This study aimed to develop and validate a prediction model for hospitalization for ischemic heart disease (IHD) or cerebrovascular disease (CVD) and major kidney events in Japanese individuals with mild CKD using readily available health check and prescription data.

Methods: A retrospective cohort study was conducted using data from approximately 850,000 individuals in the PREVENT Inc. database, collected between April 2013 and April 2023. Cox proportional hazard regression models were utilized to derive and validate risk scores for hospitalization for IHD/CVD and major kidney events, incorporating traditional risk factors and CKD-specific variables. Model performance was assessed using the concordance index (c-index) and 5-fold cross-validation.

Results: A total of 40,351 individuals were included. Key predictors included age, sex, diabetes, hypertension, and lipid levels for hospitalization for IHD/CVD and major kidney events. Age significantly increased the risk score for both hospitalization for IHD/CVD and major kidney events. The baseline 5-year survival rates are 0.99 for hospitalization for IHD/CVD and major kidney events are 0.99. The developed risk models demonstrated predictive ability, with mean c-indexes of 0.75 for hospitalization for IHD/CVD and 0.69 for major kidney events.

Conclusions: This prediction model offers a practical tool for early identification of Japanese individuals with mild CKD at risk for hospitalization for IHD/CVD and major kidney events, facilitating timely interventions to improve patient outcomes and reduce healthcare costs. The models stratified patients into risk categories, enabling identification of those at higher risk for adverse events. Further clinical validation is required.

Recent advancements in computer vision within the field of artificial intelligence (AI) have made significant inroads into the medical domain. However, the application of AI for classifying renal pathology remains challenging due to the subtle variations in multiple renal pathological classifications. Vision Transformers (ViT), an adaptation of the Transformer model for image recognition, have demonstrated superior capabilities in capturing global features and providing greater explainability. In our study, we developed a ViT model using a diverse set of stained renal histopathology images to evaluate its effectiveness in classifying renal pathology. A total of 1861 whole slide images (WSI) stained with HE, MASSON, PAS, and PASM were collected from 635 patients. Renal tissue images were then extracted, tiled, and categorized into 14 classes on the basis of renal pathology. We employed the classic ViT model from the Timm library, utilizing images sized 384 × 384 pixels with 16 × 16 pixel patches, to train the classification model. A comparative analysis was conducted to evaluate the performance of the ViT model against traditional convolutional neural network (CNN) models. The results indicated that the ViT model demonstrated superior recognition ability (accuracy: 0.96-0.99). Furthermore, we visualized the identification process of the ViT models to investigate potentially significant pathological ultrastructures. Our study demonstrated that ViT models outperformed CNN models in accurately classifying renal pathology. Additionally, ViT models are able to focus on specific, significant structures within renal histopathology, which could be crucial for identifying novel and meaningful pathological features in the diagnosis and treatment of renal disease.

Background: Inconsistent study results and contradictory recommendations from health authorities regarding the use of apixaban in patients on hemodialysis have generated considerable uncertainty among clinicians, making investigations of appropriate dosing an unmet need.

Methods: We analyzed pre-dialysis apixaban drug levels from a tertiary care dialysis unit, comparing 2.5 mg once versus twice daily dosing. We applied mixed-effects models including dialysis modality, adjusted standard Kt/V, ultrafiltration, and dialyzer characteristics. We included an exploratory analysis of bleeding events and compared the drug levels of our dialysis patients to those from non-CKD reference populations taking the standard dose of 5 mg twice daily.

Results: We analyzed 143 drug levels from 24 patients. Mean (SD) age at first drug level measurement was 64.7 (15.9) years (50 % female), median (IQR) follow-up was 12.5 (5.5 - 21) months. For the apixaban 2.5 mg once and twice daily groups, median (IQR) drug levels were 54.4 (< 40 - 72.1) and 71.3 (48.8 - 104.1) ng/mL respectively (P < 0.001). Levels were below the detection limit in 30 % (with 2.5 mg once daily) and 14 % (with 2.5 mg twice daily) respectively. Only dosing group (twice versus once daily) was independently associated with higher drug levels (P = 0.002). Follow-up did not suggest accumulation. The 95^th percentile of drug levels did not exceed those of non-CKD populations taking 5 mg twice daily. Median (IQR) drug levels before a bleeding (8 episodes) were higher than those without a subsequent bleeding: 111.6 (83.1 - 129.3) versus 54.8 (< 40 - 77.1) ng/mL (P < 0.001). Concomitant antiplatelet therapy was used in 86% of those with bleeding events versus 6% without bleeding events (P < 0.001).

Conclusions: Drug monitoring may be a contributory tool to increase patient safety. Despite non-existing target ranges, drug levels on both edges of the spectrum (e.g. below detectability or beyond the 95^th percentiles of reference populations) may improve decision-making in highly individualized risk-benefit analyses.

Background: Reduced quality of life is associated with shorter survival in chronic illnesses. However, the health-related quality of life (HRQOL) and social reinsertion of patients on maintenance haemodialysis is much more underappreciated in resource-limited countries such as Cameroon.

Method: A hospital-based cross-sectional study was carried out from February 22nd to May 20th, 2022, in 4 government-funded haemodialysis centres in three randomly selected regions of Cameroon. Patients received twice-weekly dialysis sessions. Social reinsertion and HRQOL were assessed using a structured questionnaire and the kidney disease quality of life instrument (KDQOL-36™). HRQOL scores < 50 were categorized as low, while scores > 50 reflected better HRQOL. Data were analysed using the software statistical package for Social Sciences version 25.0. Statistical significance was set at a p value < 0.05.

Results: The study included 434 patients. The mean age was 48.33 (13.55) years, 65.7% (285/434) were male, 62.3% (269/434) had no monthly income, and the mean dialysis vintage was 3.74 (3.83) years. The mean HRQOL score was 44.34 (9.77), and 76.2% (325/434) had HRQOL scores < 50). Overall HRQOL was associated with older age (aOR: 2.344, CI 1.089-5.04). After the initiation of maintenance haemodialysis, 67.1% (49/73) of students dropped out of school. The main reason for school absenteeism and unemployment was physical insufficiency, with 82.4% (19/24) and 52.4% (75/144), respectively. There were no promotions or marriages after initiation; 51% (221/434) of relationships with relatives and friends were affected negatively, while 83.3% (66/79) of those of marriageable ages could not find suitors. The social participation score was poor in 61.5% (267/434) of participants. There was an association between low QOL and social participation (p = 0.009).

Conclusion: The HRQOL of patients on maintenance haemodialysis is greatly reduced, especially their physical health status. Older age was a determinant of low QOL. Additionally, social reinsertion remains poor due to adverse changes that occur to these patients and their families after dialysis initiation.

Clinical trial number: Not applicable.

Introduction: Glomerular diseases, encompassing primary and secondary forms, pose significant morbidity and mortality risks. Despite their impact, little is known about critically ill patients with primary glomerulopathy admitted to the intensive care unit (ICU).

Methods: We conducted a case‒control study of patients with primary glomerulopathy using the Medical Information Mart for Intensive Care IV database. Demographic, clinical, and outcome data were collected. Logistic regression and mediation analysis were performed to identify predictors of hospital and long-term mortality.

Results: Among 50,920 patients, 307 with primary glomerulopathy were included. Infectious and cardiovascular-related causes were the main reasons for ICU admission, with sepsis being diagnosed in more than half of the patients during their ICU stay. The hospital mortality rate was similar to that of the control group, with a long-term mortality rate of 29.0% three years post-ICU discharge. Reduced urine output and serum albumin were identified as independent predictors of hospital mortality, while serum albumin and the Charlson comorbidity index were significantly associated with long-term mortality. Notably, although acute kidney injury was frequent, it was not significantly associated with mortality. Additionally, reduced urine output mediates nearly 25% of the association between serum albumin and hospital mortality.

Conclusion: Critically ill patients with primary glomerulopathy exhibit unique characteristics and outcomes. Although hospital mortality was comparable to that of the control group, long-term mortality remained high. The serum albumin concentration and Charlson Comorbidity Index score emerged as robust predictors of long-term mortality, highlighting the importance of comprehensive risk assessment in this population. The lack of an association between acute kidney injury and mortality suggests the need for further research to understand the complex interplay of factors influencing outcomes in this patient population.

Backgound: People with diabetes are much more likely to develop acute kidney injury (AKI) than people without diabetes. Low 25-hydroxy-vitamin D [25(OH)D] concentrations increased the risk of AKI in specific populations. Few studies have explored the relationship between the 25(OH)D level and AKI in patients with diabetes. We conducted this study to investigate the relationship between the plasma level of 25(OH)D and the risk of AKI in patients with diabetes, and to evaluate whether the 25(OH)D level could be a good prognostic marker for AKI progression.

Methods: A total of 347 patients with diabetes were retrospectively reviewed. The primary endpoint was the first event of AKI. The secondary endpoint is need-of-dialysis. AKI patients were further followed up for 6 months with the composite endpoint of end-stage renal disease (ESRD) or all-cause death. Kaplan-Meier survival analysis and Cox proportional hazards models were used.

Results: During a median follow-up of 12 weeks (12.3 ± 6.7), 105 incident AKI were identified. The middle and high tertiles of baseline 25(OH)D levels were associated with a significantly decreased risk of AKI and dialysis compared to the low tertile group (HR = 0.25, 95% CI 0.14-0.46; HR = 0.24, 95% CI 0.13-0.44, respectively, for AKI; HR = 0.15; 95% CI 0.05-0.46; HR = 0.12; 95% CI 0.03-0.42, respectively, for dialysis). Sensitivity analysis revealed similar trends after excluding participants without history of CKD. Furthermore, AKI patients with 25(OH)D deficiency were associated with a higher risk for ESRD or all-cause death (HR, 4.24; 95% CI, 1.80 to 9.97, P < 0.001).

Conclusion: A low 25 (OH) vitamin D is associated with a higher risk of AKI and dialysis in patients with diabetes. AKI patients with 25(OH)D deficiency were associated with a higher risk for ESRD or all-cause death.

Background: Patients with chronic kidney disease frequently face various nutritional and metabolic problems that necessitate the use of multiple medications. This multiple drug use can lead to several drug-related problems including adverse drug events, hospital admissions, poor medication adherence, harmful drug interactions, inadequate therapeutic outcomes, and death. Despite these challenges, there is a notable lack of studies on the extent of multiple drug use and its determinants among patients with chronic kidney disease in Ethiopia. This study aims to assess the magnitude of multiple drug use and identify the determinants of vulnerability among patients with chronic kidney disease in Ethiopia.

Method: A hospital-based cross-sectional study was conducted among patients with chronic kidney disease. Eligible participants were selected using a simple random sampling technique. Frequency and percentage calculations were performed for categorical variables, while means and standard deviations were used for continuous variables. The chi-square test and t-test were used to compare the proportions and means, respectively. Binary logistic regression was used to identify the determinants of multiple drug use, with statistical significance determined by a p-value of less than 0.05 and a 95% confidence interval. Guidelines and previous literature were utilized to assess the magnitude of multiple drug use.

Results: A total of 230 patients were enrolled, with more than half being male. The overall magnitude of multiple drug use was 83.0%. Diuretics being the most frequently prescribed medication class followed by angiotensin converting enzyme inhibitors. Patients aged 65 years and above (AOR = 4.91 (95% CI 1.60-15.03)), CKD stage five (AOR) = 5.48 (95% CI 1.99-15.09)), and the presence of comorbid conditions (AOR) = 3.53 (95% CI 1.55-8.06)) were significantly associated with multiple drug use.

Conclusion: Chronic kidney disease patients exhibited a high rate of multiple drug use. The presence of comorbid conditions, disease progression and older age are significant determinates of this vulnerability. Health care providers should pay particular attention to these factors to manage and mitigate the risks associated with multiple drug use.

Introduction: In patients admitted to the intensive care unit (ICU), muscle mass is inversely associated with mortality. Although muscle mass can be estimated with 24-h urinary creatinine excretion (UCE), its use for risk prediction in individual patients is limited because age-, sex-, weight- and length-specific reference values for UCE are lacking. The ratio between measured creatinine clearance (mCC) and estimated glomerular filtration rate (eGFR) might circumvent this constraint. The main goal was to assess the association of the mCC/eGFR ratio in ICU patients with all-cause hospital and long-term mortality.

Methods: The mCC/eGFR ratio was determined in patients admitted to our ICU between 2005 and 2021 with KDIGO acute kidney injury (AKI) stage 0-2 and an ICU stay ≥ 24 h. mCC was calculated from UCE and plasma creatinine and indexed to 1.73 m². mCC/eGFR was analyzed by categorizing patients in mCC/eGFR quartiles and as continuous variable.

Results: Seven thousand five hundred nine patients (mean age 61 ± 15 years; 38% female) were included. In-hospital mortality was 27% in the lowest mCC/eGFR quartile compared to 11% in the highest quartile (P < 0.001). Five-year post-hospital discharge actuarial mortality was 37% in the lowest mCC/eGFR quartile compared to 19% in the highest quartile (P < 0.001). mCC/eGFR ratio as continuous variable was independently associated with in-hospital mortality in multivariable logistic regression (odds ratio: 0.578 (95% CI: 0.465-0.719); P < 0.001). mCC/eGFR ratio as continuous variable was also significantly associated with 5-year post-hospital discharge mortality in Cox regression (hazard ratio: 0.27 (95% CI: 0.22-0.32); P < 0.001).

Conclusions: The mCC/eGFR ratio is associated with both in-hospital and long-term mortality and may be an easily available index of muscle mass in ICU patients.