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Implementation of the Kidney Failure Risk Equation in a United States Nephrology Clinic

Patel, Dipal M; Churilla, Bryce M; Thiessen-Philbrook, Heather; Sang, Yingying; Grams, Morgan E; Parikh, Chirag R; Crews, Deidra C
INTRODUCTION/UNASSIGNED:The kidney failure risk equation (KFRE) estimates a person's risk of kidney failure and has great potential utility in clinical care. METHODS/UNASSIGNED:We used mixed methods to explore implementation of the KFRE in nephrology clinics. RESULTS/UNASSIGNED: = 25) reported variability in use of KFRE for decisions such as maintaining nephrology care, referring for transplant evaluation, or providing dialysis modality education. Provider perspectives on the use of KFRE, assessed in 2 focus groups of 4 providers each, included 3 common themes as follows: (i) KFRE scores may be most impactful in the care of specific subsets of people with chronic kidney disease (CKD); (ii) there is uncertainty about KFRE risk-based thresholds to guide clinical care; and (iii) education of patients, nephrology providers, and non-nephrology providers on appropriate interpretations of KFRE scores may help maximize their utility. CONCLUSION/UNASSIGNED:Implementation of the KFRE was limited by non-uniform provider adoption of its use, and limited knowledge about utilization of the KFRE in clinical decisions.
PMCID:10719573
PMID: 38106577
ISSN: 2468-0249
CID: 5738342

Associations of Apixaban Dose With Safety and Effectiveness Outcomes in Patients With Atrial Fibrillation and Severe Chronic Kidney Disease

Xu, Yunwen; Chang, Alexander R; Inker, Lesley A; McAdams-DeMarco, Mara; Grams, Morgan E; Shin, Jung-Im
BACKGROUND:Recommendations for apixaban dosing on the basis of kidney function are inconsistent between the US Food and Drug Administration and European Medicines Agency for patients with atrial fibrillation. Optimal apixaban dosing in chronic kidney disease remains unknown. METHODS:With the use of deidentified electronic health record data from the Optum Labs Data Warehouse, patients with atrial fibrillation and chronic kidney disease stage 4/5 initiating apixaban between 2013 and 2021 were identified. Risks of bleeding and stroke/systemic embolism were compared by apixaban dose (5 versus 2.5 mg), adjusted for baseline characteristics by the inverse probability of treatment weighting. The Fine-Gray subdistribution hazard model was used to account for the competing risk of death. Cox regression was used to examine risk of death by apixaban dose. RESULTS:). In inverse probability of treatment weighting analysis, apixaban 5 mg was associated with a higher risk of bleeding (incidence rate 4.9 versus 2.9 events per 100 person-years; incidence rate difference, 2.0 [95% CI, 0.6-3.4] events per 100 person-years; subdistribution hazard ratio, 1.63 [95% CI, 1.04-2.54]). There was no difference between apixaban 5 mg and 2.5 mg groups in the risk of stroke/systemic embolism (3.3 versus 3.0 events per 100 person-years; incidence rate difference, 0.2 [95% CI, -1.0 to 1.4] events per 100 person-years; subdistribution hazard ratio, 1.01 [95% CI, 0.59-1.73]), or death (9.9 versus 9.4 events per 100 person-years; incidence rate difference, 0.5 [95% CI, -1.6 to 2.6] events per 100 person-years; hazard ratio, 1.03 [95% CI, 0.77-1.38]). CONCLUSIONS:Compared with 2.5 mg, use of 5 mg apixaban was associated with a higher risk of bleeding in patients with atrial fibrillation and severe chronic kidney disease, with no difference in the risk of stroke/systemic embolism or death, supporting the apixaban dosing recommendations on the basis of kidney function by the European Medicines Agency, which differ from those issued by the US Food and Drug Administration.
PMID: 37681341
ISSN: 1524-4539
CID: 5614052

Differences in the Circulating Proteome in Individuals with versus without Sickle Cell Trait

Cai, Yanwei; Franceschini, Nora; Surapaneni, Aditya; Garrett, Melanie E; Tahir, Usman A; Hsu, Li; Telen, Marilyn J; Yu, Bing; Tang, Hua; Li, Yun; Liu, Simin; Gerszten, Robert E; Coresh, Josef; Manson, JoAnn E; Wojcik, Genevieve L; Kooperberg, Charles; Auer, Paul L; Foster, Matthew W; Grams, Morgan E; Ashley-Koch, Allison E; Raffield, Laura M; Reiner, Alex P
BACKGROUND:Sickle cell trait affects approximately 8% of Black individuals in the United States, along with many other individuals with ancestry from malaria-endemic regions worldwide. While traditionally considered a benign condition, recent evidence suggests that sickle cell trait is associated with lower eGFR and higher risk of kidney diseases, including kidney failure. The mechanisms underlying these associations remain poorly understood. We used proteomic profiling to gain insight into the pathobiology of sickle cell trait. METHODS:We measured proteomics ( N =1285 proteins assayed by Olink Explore) using baseline plasma samples from 592 Black participants with sickle cell trait and 1:1 age-matched Black participants without sickle cell trait from the prospective Women's Health Initiative cohort. Age-adjusted linear regression was used to assess the association between protein levels and sickle cell trait. RESULTS:In age-adjusted models, 35 proteins were significantly associated with sickle cell trait after correction for multiple testing. Several of the sickle cell trait-protein associations were replicated in Black participants from two independent cohorts (Atherosclerosis Risk in Communities study and Jackson Heart Study) assayed using an orthogonal aptamer-based proteomic platform (SomaScan). Many of the validated sickle cell trait-associated proteins are known biomarkers of kidney function or injury ( e.g. , hepatitis A virus cellular receptor 1 [HAVCR1]/kidney injury molecule-1 [KIM-1], uromodulin [UMOD], ephrins), related to red cell physiology or hemolysis (erythropoietin [EPO], heme oxygenase 1 [HMOX1], and α -hemoglobin stabilizing protein) and/or inflammation (fractalkine, C-C motif chemokine ligand 2/monocyte chemoattractant protein-1 [MCP-1], and urokinase plasminogen activator surface receptor [PLAUR]). A protein risk score constructed from the top sickle cell trait-associated biomarkers was associated with incident kidney failure among those with sickle cell trait during Women's Health Initiative follow-up (odds ratio, 1.32; 95% confidence interval, 1.10 to 1.58). CONCLUSIONS:We identified and replicated the association of sickle cell trait with a number of plasma proteins related to hemolysis, kidney injury, and inflammation.
PMID: 37533140
ISSN: 1555-905x
CID: 5609232

Plasma Biomarkers and Incident CKD Among Individuals Without Diabetes

Le, Dustin; Chen, Jingsha; Shlipak, Michael G; Ix, Joachim H; Sarnak, Mark J; Gutierrez, Orlando M; Schelling, Jeffrey R; Bonventre, Joseph V; Sabbisetti, Venkata S; Schrauben, Sarah J; Coca, Steven G; Kimmel, Paul L; Vasan, Ramachandran S; Grams, Morgan E; Parikh, Chirag; Coresh, Josef; Rebholz, Casey M; ,
RATIONALE & OBJECTIVE/UNASSIGNED:Biomarkers of kidney disease progression have been identified in individuals with diabetes and underlying chronic kidney disease (CKD). Whether or not these markers are associated with the development of CKD in a general population without diabetes or CKD is not well established. STUDY DESIGN/UNASSIGNED:Prospective observational cohort. SETTING & PARTICIPANTS/UNASSIGNED:In the Atherosclerosis Risk in Communities) study, 948 participants were studied. EXPOSURES/UNASSIGNED:The baseline plasma biomarkers of kidney injury molecule-1 (KIM-1), monocyte chemoattractant protein-1 (MCP-1), soluble urokinase plasminogen activator receptor (suPAR), tumor necrosis factor receptor 1 (TNFR-1), tumor necrosis factor receptor 2 (TNFR-2), and human cartilage glycoprotein-39 (YKL-40) measured in 1996-1998. OUTCOME/UNASSIGNED:or dialysis dependence through United States Renal Data System linkage. ANALYTICAL APPROACH/UNASSIGNED:Logistic regression and C statistics. RESULTS/UNASSIGNED: < 0.01) and using the observed risk of 12% for incident CKD, the predicted risk gradient changed from 5%-40% (for the 1st-5th quintile) to 4%-44%. LIMITATIONS/UNASSIGNED:Biomarkers and creatinine were measured at one time point. CONCLUSIONS/UNASSIGNED:Higher levels of KIM-1, suPAR, TNFR-1, and TNFR-2 were associated with higher odds of incident CKD among individuals without diabetes. PLAIN-LANGUAGE SUMMARY/UNASSIGNED:For people with diabetes or kidney disease, several biomarkers have been shown to be associated with worsening kidney disease. Whether these biomarkers have prognostic significance in people without diabetes or kidney disease is less studied. Using the Atherosclerosis Risk in Communities study, we followed individuals without diabetes or kidney disease for an average of 15 years after biomarker measurement to see if these biomarkers were associated with the development of kidney disease. We found that elevated levels of KIM-1, suPAR, TNFR-1, and TNFR-2 were associated with the development of kidney disease. These biomarkers may help identify individuals who would benefit from interventions to prevent the development of kidney disease.
PMCID:10568645
PMID: 37841418
ISSN: 2590-0595
CID: 5583352

Discordances Between Creatinine and Cystatin C-Based Estimated GFR and Adverse Clinical Outcomes in Routine Clinical Practice

Carrero Pharm, Juan-Jesús; Fu, Edouard L; Sang Biostat, Yingying; Ballew, Shoshana; Evans, Marie; Elinder, Carl-Gustaf; Barany, Peter; Inker, Lesley A; Levey, Andrew S; Coresh, Josef; Grams, Morgan E
RATIONALE & OBJECTIVE/OBJECTIVE:Cystatin C is recommended for estimating glomerular filtration rate (eGFR) when estimates based on creatinine (eGFRcr) are not thought to be accurate enough for clinical decision making. While global adoption is slow, routine cystatin C testing in Sweden has been available for over a decade, providing real-world evidence about the magnitude of differences between eGFRcys and eGFRcr and their association with clinical outcomes. STUDY DESIGN/METHODS:Observational study. SETTING & PARTICIPANTS/METHODS:) undergoing testing for creatinine and cystatin C on the same day in connection with a healthcare encounter during 2010-2018 in Stockholm, Sweden. EXPOSURES/METHODS:). OUTCOMES/RESULTS:Kidney failure with replacement therapy (KFRT), acute kidney injury (AKI), atherosclerotic cardiovascular disease (ASCVD), heart failure (HF) and death. ANALYTICAL APPROACH/METHODS:Multivariable Cox proportional hazards regression. RESULTS:) were at lower risk. LIMITATIONS/CONCLUSIONS:Observational study, lack of information on indications for Cystatin C testing. CONCLUSIONS:Cystatin C testing in routine care shows that many patients have lower eGFRcys than eGFRcr, and these patients had a higher risk of multiple adverse outcomes.
PMID: 37354936
ISSN: 1523-6838
CID: 5543062

Late-life plasma proteins associated with prevalent and incident frailty: A proteomic analysis

Liu, Fangyu; Austin, Thomas R; Schrack, Jennifer A; Chen, Jingsha; Walston, Jeremy; Mathias, Rasika A; Grams, Morgan; Odden, Michelle C; Newman, Anne; Psaty, Bruce M; Ramonfaur, Diego; Shah, Amil M; Windham, B Gwen; Coresh, Josef; Walker, Keenan A
Proteomic approaches have unique advantages in the identification of biological pathways that influence physical frailty, a multifactorial geriatric syndrome predictive of adverse health outcomes in older adults. To date, proteomic studies of frailty are scarce, and few evaluated prefrailty as a separate state or examined predictors of incident frailty. Using plasma proteins measured by 4955 SOMAmers in the Atherosclerosis Risk in Community study, we identified 134 and 179 proteins cross-sectionally associated with prefrailty and frailty, respectively, after Bonferroni correction (p < 1 × 10-5 ) among 3838 older adults aged ≥65 years, adjusting for demographic and physiologic factors and chronic diseases. Among them, 23 (17%) and 82 (46%) were replicated in the Cardiovascular Health Study using the same models (FDR p < 0.05). Notably, higher odds of prefrailty and frailty were observed with higher levels of growth differentiation factor 15 (GDF15; pprefrailty  = 1 × 10-15 , pfrailty  = 2 × 10-19 ), transgelin (TAGLN; pprefrailty  = 2 × 10-12 , pfrailty  = 6 × 10-22 ), and insulin-like growth factor-binding protein 2 (IGFBP2; pprefrailty  = 5 × 10-15 , pfrailty  = 1 × 10-15 ) and with a lower level of growth hormone receptor (GHR, pprefrailty  = 3 × 10-16 , pfrailty  = 2 × 10-18 ). Longitudinally, we identified 4 proteins associated with incident frailty (p < 1 × 10-5 ). Higher levels of triggering receptor expressed on myeloid cells 1 (TREM1), TAGLN, and heart and adipocyte fatty-acid binding proteins predicted incident frailty. Differentially regulated proteins were enriched in pathways and upstream regulators related to lipid metabolism, angiogenesis, inflammation, and cell senescence. Our findings provide a set of plasma proteins and biological mechanisms that were dysregulated in both the prodromal and the clinical stage of frailty, offering new insights into frailty etiology and targets for intervention.
PMCID:10652348
PMID: 37697678
ISSN: 1474-9726
CID: 5598852

Proteomics of CKD progression in the chronic renal insufficiency cohort

Dubin, Ruth F; Deo, Rajat; Ren, Yue; Wang, Jianqiao; Zheng, Zihe; Shou, Haochang; Go, Alan S; Parsa, Afshin; Lash, James P; Rahman, Mahboob; Hsu, Chi-Yuan; Weir, Matthew R; Chen, Jing; Anderson, Amanda; Grams, Morgan E; Surapaneni, Aditya; Coresh, Josef; Li, Hongzhe; Kimmel, Paul L; Vasan, Ramachandran S; Feldman, Harold; Segal, Mark R; Ganz, Peter; ,; ,
Progression of chronic kidney disease (CKD) portends myriad complications, including kidney failure. In this study, we analyze associations of 4638 plasma proteins among 3235 participants of the Chronic Renal Insufficiency Cohort Study with the primary outcome of 50% decline in estimated glomerular filtration rate or kidney failure over 10 years. We validate key findings in the Atherosclerosis Risk in the Communities study. We identify 100 circulating proteins that are associated with the primary outcome after multivariable adjustment, using a Bonferroni statistical threshold of significance. Individual protein associations and biological pathway analyses highlight the roles of bone morphogenetic proteins, ephrin signaling, and prothrombin activation. A 65-protein risk model for the primary outcome has excellent discrimination (C-statistic[95%CI] 0.862 [0.835, 0.889]), and 14/65 proteins are druggable targets. Potentially causal associations for five proteins, to our knowledge not previously reported, are supported by Mendelian randomization: EGFL9, LRP-11, MXRA7, IL-1 sRII and ILT-2. Modifiable protein risk markers can guide therapeutic drug development aimed at slowing CKD progression.
PMCID:10564759
PMID: 37816758
ISSN: 2041-1723
CID: 5605032

Correction to: Trends in Use of Sulfonylurea Types Among US Adults with Diabetes: NHANES 1999-2020

Shin, Jung-Im; Echouffo-Tcheugui, Justin B; Fang, Michael; Grams, Morgan E; Selvin, Elizabeth
PMID: 37787880
ISSN: 1525-1497
CID: 5735602

Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis

,; Grams, Morgan E; Coresh, Josef; Matsushita, Kunihiro; Ballew, Shoshana H; Sang, Yingying; Surapaneni, Aditya; Alencar de Pinho, Natalia; Anderson, Amanda; Appel, Lawrence J; Ärnlöv, Johan; Azizi, Fereidoun; Bansal, Nisha; Bell, Samira; Bilo, Henk J G; Brunskill, Nigel J; Carrero, Juan J; Chadban, Steve; Chalmers, John; Chen, Jing; Ciemins, Elizabeth; Cirillo, Massimo; Ebert, Natalie; Evans, Marie; Ferreiro, Alejandro; Fu, Edouard L; Fukagawa, Masafumi; Green, Jamie A; Gutierrez, Orlando M; Herrington, William G; Hwang, Shih-Jen; Inker, Lesley A; Iseki, Kunitoshi; Jafar, Tazeen; Jassal, Simerjot K; Jha, Vivekanand; Kadota, Aya; Katz, Ronit; Köttgen, Anna; Konta, Tsuneo; Kronenberg, Florian; Lee, Brian J; Lees, Jennifer; Levin, Adeera; Looker, Helen C; Major, Rupert; Melzer Cohen, Cheli; Mieno, Makiko; Miyazaki, Mariko; Moranne, Olivier; Muraki, Isao; Naimark, David; Nitsch, Dorothea; Oh, Wonsuk; Pena, Michelle; Purnell, Tanjala S; Sabanayagam, Charumathi; Satoh, Michihiro; Sawhney, Simon; Schaeffner, Elke; Schöttker, Ben; Shen, Jenny I; Shlipak, Michael G; Sinha, Smeeta; Stengel, Benedicte; Sumida, Keiichi; Tonelli, Marcello; Valdivielso, Jose M; van Zuilen, Arjan D; Visseren, Frank L J; Wang, Angela Yee-Moon; Wen, Chi-Pang; Wheeler, David C; Yatsuya, Hiroshi; Yamagata, Kunihiro; Yang, Jae Won; Young, Ann; Zhang, Haitao; Zhang, Luxia; Levey, Andrew S; Gansevoort, Ron T
IMPORTANCE:Chronic kidney disease (low estimated glomerular filtration rate [eGFR] or albuminuria) affects approximately 14% of adults in the US. OBJECTIVE:To evaluate associations of lower eGFR based on creatinine alone, lower eGFR based on creatinine combined with cystatin C, and more severe albuminuria with adverse kidney outcomes, cardiovascular outcomes, and other health outcomes. DESIGN, SETTING, AND PARTICIPANTS:Individual-participant data meta-analysis of 27 503 140 individuals from 114 global cohorts (eGFR based on creatinine alone) and 720 736 individuals from 20 cohorts (eGFR based on creatinine and cystatin C) and 9 067 753 individuals from 114 cohorts (albuminuria) from 1980 to 2021. EXPOSURES:The Chronic Kidney Disease Epidemiology Collaboration 2021 equations for eGFR based on creatinine alone and eGFR based on creatinine and cystatin C; and albuminuria estimated as urine albumin to creatinine ratio (UACR). MAIN OUTCOMES AND MEASURES:The risk of kidney failure requiring replacement therapy, all-cause mortality, cardiovascular mortality, acute kidney injury, any hospitalization, coronary heart disease, stroke, heart failure, atrial fibrillation, and peripheral artery disease. The analyses were performed within each cohort and summarized with random-effects meta-analyses. RESULTS:Within the population using eGFR based on creatinine alone (mean age, 54 years [SD, 17 years]; 51% were women; mean follow-up time, 4.8 years [SD, 3.3 years]), the mean eGFR was 90 mL/min/1.73 m2 (SD, 22 mL/min/1.73 m2) and the median UACR was 11 mg/g (IQR, 8-16 mg/g). Within the population using eGFR based on creatinine and cystatin C (mean age, 59 years [SD, 12 years]; 53% were women; mean follow-up time, 10.8 years [SD, 4.1 years]), the mean eGFR was 88 mL/min/1.73 m2 (SD, 22 mL/min/1.73 m2) and the median UACR was 9 mg/g (IQR, 6-18 mg/g). Lower eGFR (whether based on creatinine alone or based on creatinine and cystatin C) and higher UACR were each significantly associated with higher risk for each of the 10 adverse outcomes, including those in the mildest categories of chronic kidney disease. For example, among people with a UACR less than 10 mg/g, an eGFR of 45 to 59 mL/min/1.73 m2 based on creatinine alone was associated with significantly higher hospitalization rates compared with an eGFR of 90 to 104 mL/min/1.73 m2 (adjusted hazard ratio, 1.3 [95% CI, 1.2-1.3]; 161 vs 79 events per 1000 person-years; excess absolute risk, 22 events per 1000 person-years [95% CI, 19-25 events per 1000 person-years]). CONCLUSIONS AND RELEVANCE:In this retrospective analysis of 114 cohorts, lower eGFR based on creatinine alone, lower eGFR based on creatinine and cystatin C, and more severe UACR were each associated with increased rates of 10 adverse outcomes, including adverse kidney outcomes, cardiovascular diseases, and hospitalizations.
PMID: 37787795
ISSN: 1538-3598
CID: 5611022

Discordance in GFR Estimating Equations and Dosing Guidance by Body Mass Index and Age [Letter]

Lyu, Beini; Xu, Yunwen; Inker, Lesley A; Chang, Alexander R; Nolin, Thomas D; Coresh, Josef; Grams, Morgan E; Shin, Jung-Im
PMID: 37030585
ISSN: 1523-6838
CID: 5583132