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Estimated glomerular filtration rate (eGFR) according to the original and new Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation based on creatinine. (A) Changes in eGFR categories. (B) Histogram and frequency distribution curves.
Source publication
Aims:
The new Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation for estimating glomerular filtration rate (eGFR), based on serum creatinine, that does not incorporate race may reclassify individuals, irrespective of race, from one eGFR category to another, with implications for eligibility for treatments in patients with heart f...
Contexts in source publication
Context 1
... other words, 309 (33.0%) patients with CKD stages 4 or 5 were reclassified to CKD stages 1-3 (eGFR ≥30 ml/min/1.73 m 2 ) with the 2021 equation (Table 1, Figure 1). ...
Context 2
... the 17 431 patients in CKD stages 3-5 (according to the 2009 equation), 2983 (17.1%) were reclassified to CKD stages 1-2 (eGFR ≥60 ml/min/1.73 m 2 ) using the 2021 equation ( Table 1, Figure 1). ...
Context 3
... number of patients with an eGFR <30 ml/min/1.73 m 2 was 886 (2.2%) calculated using the 2009 equation and 577 (1.4%) with the 2021 equation ( Table 2, online supplementary Figure S1). ...
Citations
... However, our results suggested no causal relationship between PCOS and those indicators mentioned above (eGFR, urinary albumin-to-creatinine ratio and b2-microglobulin). Creatinine was used as an important indicator for CKD patients, and it also formed a collaboration equation for estimating glomerular filtration rate (36). New eGFR equations that incorporate creatinine and cystatin C (37) could provide more accurate information for diagnosing CKD. ...
Objective: Polycystic ovary syndrome is one of the most common endocrine disorders among women of childbearing age. The relationship between polycystic ovary syndrome and chronic kidney disease remains unclear and controversial. In this study, we investigated the causal role of polycystic ovary syndrome in the development of chronic kidney disease using the two-sample Mendelian randomization method.
Methods: Public shared summary-level data was acquired from European-ancestry genome wide association studies. We finally obtained 12 single nucleotide polymorphisms as instrumental variables, which were associated with polycystic ovary syndrome in European at genome-wide significance (P < 5 × 10−8). Inverse-variance weighted method was employed in the Mendelian randomization analysis and multiple sensitivity analyses were implemented. Outcome data were obtained from the Open GWAS database.
Results: A positive causal association was observed between polycystic ovary syndrome and chronic kidney disease (odds ratio [OR]=1.180, 95% confidence interval [CI]: 1.038-1.342; P=0.010). Further analyses clarified that causal relationship exist between polycystic ovary syndrome and some serological indicators of chronic kidney disease (fibroblast growth factor 23: OR= 1.205, 95% CI: 1.031-1.409, P=0.019; creatinine: OR= 1.012, 95% CI: 1.001-1.023, P=0.035; cystatin C: OR= 1.024, 95% CI: 1.006-1.042, P=0.009). However, there was no causal association of polycystic ovary syndrome with other factors in the data sources we employed.
Conclusions: Our results indicate an important role of polycystic ovary syndrome in the development of chronic kidney disease. This study suggests that regular follow-up of renal function in patients with polycystic ovary syndrome is necessary for the early treatment of chronic kidney disease.
Introduction and objectives:
Diabetes, dyslipidemia, older age, gender, urinary tract infections, and recent antibiotic intake have been associated with a decrease in the urobiome richness and other fluctuations in this microbiome. Gut and blood microbiome have been reported to be altered in patients with chronic kidney disease (CKD), and specifically in peritoneal dialysis (PD) patients. Still, there are currently no studies describing the urogenital microbiome in CKD-PD patients. In this study we characterized the urobiome profile in 46 PD patients and analyzed its clinical and inflammatory parameters.
Materials and methods:
Mid-stream urine, fecal and blood samples were collected from 46 patients undergoing PD at Centro Hospitalar Universitário de São João (CHUSJ) in Porto, Portugal. Exclusion criteria were age under 18 years old, inability to give informed consent, history of infection in the last three months, and antibiotic intake in the last three months. The microbiome communities were analyzed by amplification and sequencing of the V3-V4 region of the bacterial 16S rRNA gene. Correlations with the patients' clinical data and inflammatory profile were performed.
Results:
CKD-PD patients presented a unique urobiome profile dominated by Bacillota, Actinomycetota and Pseudomonadota and characterized by a lower Shannon diversity than fecal and blood microbiome. The taxonomic profiles of urogenital samples were organized in multiple subtypes dominated by populations of Lactobacillus, Staphylococcus, Streptococcus, Gardnerella, Prevotella, Escherichia-Shigella, being similar to other non-PD-CKD patients. Gender, sCD14, residual diuresis and history of peritonitis were significantly associated to variations in the urobiome. Although not reaching statistical significance, diabetes and the time on PD also showed association with particular taxonomic groups. Depletion of Gardnerella, Staphylococcus, Corynebacterium, Lactobacillus or Dermabacter populations correlated with CKD-PD patients with history of diabetes, history of peritonitis and altered levels of sCD14.
Conclusions:
Our results highlight urogenital microbiome as a potential partner and/or marker in the overall health state of CKD-PD patients.
Glomerular filtration rate (GFR) is thought to be the best overall indicator of kidney health. On an individual patient basis, a working knowledge of GFR is important to understand the future risk for chronic kidney disease (CKD) progression, enhanced risk for cardiovascular disease and death, and for optimal medical management including the dosing of certain drugs. Although GFR can be directly measured using exogenous compounds that are eliminated by the kidney, these methods are not scalable for repeated and routine use in clinical care. Thus, in most circumstances GFR is estimated, termed estimated GFR (eGFR), using serum biomarkers that are eliminated by the kidney. Of these, serum creatinine, and to a lesser extent cystatin C, are most widely employed. However, the resulting number is simply a population average for an individual of that age and sex with a given serum creatinine and/or cystatin C, while the range of potential GFR values is actually quite large. Thus, it is important to consider characteristics of a given patient that might make this estimate better or worse in a particular case. In some circumstances, cystatin C or creatinine might be the better choice. Ultimately it is difficult, if not impossible, to have an eGFR equation that performs equally well in all populations. Thus, in certain cases it might be appropriate to directly measure GFR for high consequence medical decision-making, such as approval for kidney donation or prior to certain chemotherapeutic regimens. In all cases, the eGFR thresholds of CKD stage should not be viewed as absolute numbers. Thus, clinical care should not be determined solely by CKD stage as determined by eGFR alone, but rather by the combination of an individual patient's likely kidney function together with their current clinical situation.
Aims:
The 2021 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation combining creatinine and cystatin C provides a better estimation of glomerular filtration rate (GFR) compared to the creatinine-only equation.
Methods and results:
CKD-EPI creatinine-cystatin C equation (creatinine-cystatin) was compared to creatinine-only (creatinine) equation in a subpopulation of Prospective comparison of ARNI with ACEI to Determine Impact on Global Mortality and morbidity in Heart Failure (PARADIGM-HF). Patients were categorized according to difference in eGFR using the two equations: Group 1 (<-10 mL/min/1.73 m2, i.e. creatinine-cystatin more than 10 mL/min lower than creatinine), Group 2 (>-10 and <10 mL/min/1.73 m2), and Group 3 (>10 mL/min/1.73 m2, i.e. creatinine-cystatin more than 10 mL/min higher than creatinine). Cystatin C and creatinine were available in 1966 patients at randomization. Median (interquartile range) eGFR difference was -0.7 (-6.4-4.8) mL/min/1.73 m2. Compared to creatinine, creatinine-cystatin led to a substantial reclassification of chronic kidney disease stages. Overall, 212 (11%) and 355 (18%) patients were reallocated to a better and worse eGFR category, respectively. Compared to patients in Group 2, those in Group 1 (lower eGFR with creatinine-cystatin) had higher mortality and those in Group 3 (higher eGFR with creatinine-cystatin) had lower mortality. Increasing difference in eGFR (due to lower eGFR with creatinine-cystatin compared to creatinine) was associated with increasing elevation of biomarkers (including N-terminal pro-B-type natriuretic peptide and troponin) and worsening Kansas City Cardiomyopathy Questionnaire clinical summary score. The reason why the equations diverged with increasing severity of heart failure was that creatinine did not rise as steeply as cystatin C.
Conclusion:
The CKD-EPI creatinine-only equation may overestimate GFR in sicker patients.
Clinical trial registration:
URL: https://www.clinicaltrials.gov; Unique Identifier: NCT01035255.
Background:
Black people have a higher incidence and prevalence of heart failure (HF) than White people, and once HF has developed, they may have worse outcomes. There is also evidence that the response to several pharmacologic therapies may differ between Black and White patients.
Objectives:
The authors sought to examine the outcomes and response to treatment with dapagliflozin according to Black or White race in a pooled analysis of 2 trials comparing dapagliflozin to placebo in patients with heart failure with reduced ejection fraction (DAPA-HF [Dapagliflozin and Prevention of Adverse Outcomes in Heart Failure]) and heart failure with Mildly reduced ejection fraction/heart failure with preserved ejection fraction (DELIVER [Dapagliflozin Evaluation to Improve the Lives of Patients With Preserved Ejection Fraction Heart Failure]).
Methods:
Because most self-identified Black patients were enrolled in the Americas, the comparator group was White patients randomized in the same regions. The primary outcome was the composite of worsening HF or cardiovascular death.
Results:
Of the 3,526 patients randomized in the Americas, 2,626 (74.5%) identified as White and 381 (10.8%) as Black. The primary outcome occurred at a rate of 16.8 (95% CI: 13.8-20.4) in Black patients compared with 11.6 (95% CI: 10.6-12.7) per 100 person-years in White patients (adjusted HR: 1.27; 95% CI: 1.01-1.59). Compared with placebo, dapagliflozin decreased the risk of the primary endpoint to the same extent in Black (HR: 0.69; 95% CI: 0.47-1.02) and White patients (HR: 0.73 [95% CI: 0.61-0.88]; Pinteraction = 0.73). The number of patients needed to treat with dapagliflozin to prevent one event over the median follow-up was 17 in White and 12 in Black patients. The beneficial effects and favorable safety profile of dapagliflozin were consistent across the range of left ventricular ejection fractions in both Black and White patients.
Conclusions:
The relative benefits of dapagliflozin were consistent in Black and White patients across the range of left ventricular ejection fraction, with greater absolute benefits in Black patients. (Dapagliflozin and Prevention of Adverse Outcomes in Heart Failure [DAPA-HF]; NCT03036124) (Dapagliflozin Evaluation to Improve the Lives of Patients With Preserved Ejection Fraction Heart Failure [DELIVER]; NCT03619213).
