scholarly journals Sickle Cell Trait and Renal Function in Hispanics in the United States: the Northern Manhattan Study

2017 ◽  
Vol 27 (1) ◽  
pp. 11 ◽  
Author(s):  
Nicole D. Dueker ◽  
David Della-Morte ◽  
Tatjana Rundek ◽  
Ralph L. Sacco ◽  
Susan H. Blanton
Keyword(s):  
United States ◽  
Chronic Kidney Disease ◽  
African Americans ◽  
Kidney Disease ◽  
Sickle Cell ◽  
Sickle Cell Trait ◽  
The United States ◽  
Genetic Mutation ◽  
Single Mutation ◽  
Increased Risk

<p class="Pa7">Sickle cell anemia (SCA) is a common hematological disorder among individu­als of African descent in the United States; the disorder results in the production of abnormal hemoglobin. It is caused by homozygosity for a genetic mutation in HBB; rs334. While the presence of a single mutation (sickle cell trait, SCT) has long been considered a benign trait, recent research suggests that SCT is associated with renal dysfunction, including a decrease in estimated glomerular filtration rate (eGFR) and increased risk of chronic kidney disease (CKD) in African Americans. It is currently unknown whether similar associations are observed in Hispanics. Therefore, our study aimed to determine if SCT is associated with mean eGFR and CKD in a sample of 340 Dominican Hispanics from the Northern Manhattan Study. Using regression analyses, we tested rs334 for association with eGFR and CKD, adjusting for age and sex. eGFR was estimated using the Chronic Kidney Disease Epidemiology Collaboration equa­tion and CKD was defined as eGFR &lt; 60 mL/min/1.73 m2. Within our sample, there were 16 individuals with SCT (SCT carriers). We found that SCT carriers had a mean eGFR that was 12.12 mL/min/1.73m2 lower than non-carriers (P=.002). Additionally, SCT carriers had 2.72 times higher odds of CKD compared with non-carriers (P=.09). Taken together, these novel results show that Hispanics with SCT, as found among African Americans with SCT, may also be at increased risk for kidney disease.</p><p class="Pa7"><em>Ethn Dis. </em>2017; 27(1)<strong>:</strong>11-14; doi:10.18865/ed.27.1.11.</p><p class="Pa7"> </p>

scholarly journals Cardiovascular Outcomes in African Americans with Sickle Cell Trait and Chronic Kidney Disease

2019 ◽  
Vol 49 (2) ◽  
pp. 93-102 ◽  
Author(s):  
Kabir O. Olaniran ◽  
Nwamaka D. Eneanya ◽  
Andrew S. Allegretti ◽  
Sophia H. Zhao ◽  
Maureen M. Achebe ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
African American ◽  
Cardiovascular Risk ◽  
African Americans ◽  
Kidney Disease ◽  
Sickle Cell ◽  
Sickle Cell Trait ◽  
Increased Risk ◽  
The Mean

Background: Sickle cell trait (SCT) is common among African Americans and has been historically considered to be benign. Recently, SCT has been associated with an increased risk for chronic kidney disease (CKD) and cardiovascular disease in the general population. Our understanding of SCT has been extrapolated largely from data of patients with sickle cell disease (SCD). Notably, in SCD, the outcomes differ by sex. The effect of SCT on cardiovascular risk in the African American CKD population is unknown, and the interaction between SCT and sex on cardiovascular risk has not been investigated. Methods: We performed a 2-center retrospective cohort study of all African American patients with SCT using international classification of disease diagnosis codes and CKD (using the 2012 Kidney Disease Improving Global Outcomes criteria) with at least 1 year of follow-up between January 2005 and December 2017. A reference group of ­African American CKD patients without SCT was used as a comparator during the same period. SCT patients and the reference patients were matched at baseline for age, sex, comorbidities, and proteinuria. Primary outcomes were incident coronary artery disease (CAD), incident stroke, and all-cause mortality. Analysis of effect modification between sex and SCT on primary outcomes was performed. Results: We identified 621 African American CKD patients, 217 SCT patients, and 404 reference patients. The mean age was 56 ± 13 years and 66% were female. The mean estimated glomerular filtration rate was 69 ± 30 mL/min. The mean follow-up time was 8 ± 4 years. There were no significant differences in the primary outcomes comparing SCT patients to matched controls. The interaction term between SCT and sex, however, was significant in the CAD model (p < 0.01). Stratification by sex showed no increased risk in females but a significantly increased risk for CAD in male SCT patients (hazard ratio [HR] 2.14; 95% CI 1.18–3.86), which persisted after multivariable analysis (HR 2.13; 95% CI 1.17–3.86). Conclusion: SCT is associated with an increased risk for CAD in African American males with CKD. The excess risk in males with SCT appears to follow the same pattern as risk in males with SCD. Larger studies are needed to confirm these findings.

ID: 139: PROGRESSIVE GLOMERULAR DAMAGE IN SICKLE CELL TRAIT AND SICKLE CELL ANEMIA MOUSE MODELS

2016 ◽  
Vol 64 (4) ◽  
pp. 957.2-958
Author(s):  
SL Saraf ◽  
JR Sysol ◽  
JA Arruda ◽  
RF Machado ◽  
VR Gordeuk ◽  
...  
Keyword(s):  
Gene Expression ◽  
African Americans ◽  
Kidney Disease ◽  
Sickle Cell ◽  
Sickle Cell Anemia ◽  
Sickle Cell Trait ◽  
Linear Trend ◽  
Mesangial Expansion ◽  
Urine Protein ◽  
Increased Risk

The hemoglobin S mutation, a glutamic acid to valine substitution in the β-globin chain, results in hemoglobin polymerization under hypoxic conditions and leads to vaso-occlusion and hemolysis. Homozygous inheritance (Hb SS; sickle cell anemia) affects 1 in 500 African Americans and is consistently associated with an increased risk for kidney disease which may be due to cell-free hemoglobin toxicity, ischemic injury, or hyperfiltration-mediated damage to the kidney. Heterozygous inheritance (Hb AS; sickle cell trait) affects 1 in 8 African Americans and has also been associated with an increased risk for kidney disease, although not in all cohorts and the mechanisms are not well understood.We investigated whether inheritance of the Hb S mutation resulted in incremental kidney damage in Hb AS and Hb SS mice compared to Hb AA mice by histology, proteinuria, and candidate gene expression using transgenic sickle mice ≥6 months of age (Townes model, Jackson Laboratory). Values are presented as mean±standard error and analyses are adjusted for age.Using Masson trichrome stained sections of the kidney, progressive patterns of mesangial expansion were observed in age-matched Hb AS and Hb SS mice versus Hb AA mice by renal pathologists blinded to the hemoglobin genotype (figure 1). Hb AS mice had diffuse (>50% of the glomeruli per slide being involved) mesangial expansion while Hb SS mice had diffuse and global (>50% of the individual glomerulus being involved) mesangial expansion. Glomerular perimeters were measured using NanoZoomer Whole Slide Imaging in 26 randomly selected glomeruli from 2 age-matched mice per genotype. Using the upper quartile as the definition for an enlarged glomerulus, the proportion of enlarged glomeruli progressively increased from Hb AA (15%) to Hb AS (31%) to Hb SS mice (58%) (Cochran's test of linear trend, P=0.001) (figure 2). Progressively higher kidney weights were also observed from Hb AA (429±28 mg, n=8) to Hb AS (446±27 mg, n=18) to Hb SS (567±19 mg, n=5) mice (Test for linear trend, P=0.047). We then measured urine protein and urine creatinine concentrations using the Bio-Rad dye method and Jaffé reaction, respectively. Progressively higher urine protein-to-creatinine ratios were observed from Hb AA to Hb AS to Hb SS mice (figure 3) (Test for linear trend, P=0.09). Gene expression of candidate genes (TGFB1, IL6, MMP9, Klotho, HMOX1, and SHROOM3) was determined by rt-PCR from kidneys of age-matched, female Hb AA and Hb AS mice (n=5). Increased expression of Klotho (P=0.09) was observed in Hb AS mice (figure 4). Klotho is a β-glucoronidase that is highly expressed in the kidney and acts as a cofactor that increases the affinity of the FGF23 ligand for the FGF receptor.In conclusion, we observed progressive glomerular injury, determined by mesangial expansion, proportion of enlarged glomeruli, and urine protein concentrations in Hb AS and Hb SS mice compared to Hb AA mice. Klotho was upregulated in Hb AS mice and may play a role in the pathophysiology of kidney damage in Hb AS which will require further investigation.Abstract ID: 139 Figure 1

scholarly journals Association of Sickle Cell Trait With Chronic Kidney Disease and Albuminuria in African Americans

JAMA ◽  
2014 ◽  
Vol 312 (20) ◽  
pp. 2115 ◽  
Author(s):  
Rakhi P. Naik ◽  
Vimal K. Derebail ◽  
Morgan E. Grams ◽  
Nora Franceschini ◽  
Paul L. Auer ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
African Americans ◽  
Kidney Disease ◽  
Sickle Cell ◽  
Sickle Cell Trait

scholarly journals Data Mining Techniques to Predict Chronic Kidney Disease

2019 ◽  
pp. 1220-1226
Author(s):  
Golam Murshid ◽  
Thakor Parvez ◽  
Nagani Fezal ◽  
Lakhani Azaz ◽  
Mohammad Asif
Keyword(s):  
United States ◽  
Data Mining ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Prediction Models ◽  
Naive Bayes ◽  
Predictive Analytics ◽  
The United States ◽  
Naïve Bayes ◽  
Increased Risk

<p>Chronic Kidney Disease incorporates the state where the kidneys fail to function and reduce the potential to keep a person suffering from the disease healthy. When the condition of the kidneys gets worse, the wastes in the blood are formed in high level. Data mining has been a present pattern for accomplishing analytic outcomes. Colossal measure of un-mined data is gathered by the human services industry so as to find concealed data for powerful analysis and basic leadership. Data mining is the way towards extricating concealed data from gigantic datasets. The goal of our paper is to anticipate CKD utilizing the classification strategy Naïve Bayes. The phases of CKD are anticipated in the light of Glomerular Filtration Rate (GFR). Chronic Kidney Disease (CKD) is one of the most widespread illnesses in the United States. Recent statistics show that twenty-six million adults in the United States have CKD and million others are at increased risk. Clinical diagnosis of CKD is based on blood and urine tests as well as removing a sample of kidney tissue for testing. Early diagnosis and detection of kidney disease is important to help stop the progression to kidney failure. Data mining and analytics techniques can be used for predicting CKD by utilizing historical patient’s data and diagnosis records. In this research, predictive analytics techniques such as Decision Trees, Logistic Regression, Naive Bayes, and Artificial Neural Networks are used for predicting CKD. Pre-processing of the data is performed to impute any missing data and identify the variables that should be considered in the prediction models. The different predictive analytics models are assessed and compared based on accuracy of prediction. The study provides a decision support tool that can help in the diagnosis of CKD.</p>

scholarly journals Trends in anemia care in non-dialysis-dependent chronic kidney disease (CKD) patients in the United States (2006–2015)

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Haesuk Park ◽  
Xinyue Liu ◽  
Linda Henry ◽  
Jeffrey Harman ◽  
Edward A. Ross
Keyword(s):  
United States ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
The United States

scholarly journals Telomere attrition, kidney function, and prevalent chronic kidney disease in the United States

Oncotarget ◽  
2017 ◽  
Vol 8 (46) ◽  
pp. 80175-80181 ◽  
Author(s):  
Moshen Mazidi ◽  
Peyman Rezaie ◽  
Adriac Covic ◽  
Jolanta Malyszko ◽  
Jacek Rysz ◽  
...  
Keyword(s):  
United States ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Kidney Function ◽  
The United States ◽  
Telomere Attrition

Abstract 15312: Racial Disparities in Trends in Mortality From Cardiac Arrests in the United States

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Anas M Al Zubaidi ◽  
Graham Bevan ◽  
Mariam Rana ◽  
Abdul Rahman Al Armashi ◽  
Mustafa Alqaysi ◽  
...  
Keyword(s):  
United States ◽  
Cardiac Arrest ◽  
African American ◽  
African Americans ◽  
Cause Of Death ◽  
Census Data ◽  
International Classification Of Diseases ◽  
The United States ◽  
Population Based ◽  
Increased Risk

Background: African Americans are at increased risk of fatal cardiac arrests, but population-based studies exploring contemporary epidemiology are not available. We sought to identify the trend in race-specific mortality from cardiac arrest in the United States. Methods: Using the multiple cause of death database, we identified all patients (Caucasians or African Americans) who died of cardiac arrest (International Classification of Diseases, 10th revision code I46.x listed as underlying cause of death) between 1999 and 2018. Age-adjusted mortality rates were standardized to the 2000 US census data, and stratified by age group (<35 years, 35-64 years, and ≥ 65 years). Results: A total of 311,065 cardiac arrest deaths were identified, with an overall age-adjusted mortality of 53.6 per million (Caucasian: 49.1 per million, African American: 90.6 per million). Overall, age-adjusted mortality decreased from 80.1 per million persons (1999) to 44.3 per million persons (2012), followed by 8.8% increase to 48.2 (2018). Between 2012 and 2018, African Americans had higher rates of increase (10.9%) compared with Caucasians (6.9%). Largest disparities in relative changes between 2012 and 2018 occurred in patients younger than 35 years (African American: 35%, Caucasians -11%), and patients ≥ 65 years (African Americans: 8%, Caucasians 4%), figure. Conclusions: Although the mortality due to cardiac arrest has declined in the US between 1999 and 2012, a recent increase has been noted between 2012 and 2018, particularly among younger African Americans. Studies should focus on identifying causes of disparities and identifying methods to reduce the racial gap.

Sign in / Sign up

Export Citation Format

Share Document