1,175 results on '"COCA, STEVEN"'
Search Results
2. Structured Moderate Exercise and Biomarkers of Kidney Health in Sedentary Older Adults: The Lifestyle Interventions and Independence for Elders Randomized Clinical Trial.
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Lai, Mason, Hsu, Fang-Chi, Bauer, Scott, Chen, Shyh-Huei, Tse, Warren, Jotwani, Vasantha, Tranah, Gregory, Lai, Jennifer, Hallan, Stein, Fielding, Roger, Liu, Christine, Ix, Joachim, Coca, Steven, Shlipak, Michael, and Sheshadri, Anoop
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Biomarkers ,exercise ,kidney health ,older adults ,physical activity - Abstract
RATIONALE & OBJECTIVE: In the Lifestyle Interventions and Independence for Elders (LIFE) trial, a structured exercise intervention slowed kidney function decline in sedentary older adults. Biomarkers of kidney health could distinguish potential mechanisms for this beneficial effect. STUDY DESIGN: Randomized controlled trial. SETTING & POPULATION: A total of 1,381 sedentary adults aged 70-89 years enrolled in the LIFE trial. INTERVENTION: Structured, 2-year, moderate-intensity exercise intervention versus health education. OUTCOMES: Physical activity was measured by step count. Primary outcomes were changes in 14 serum and urine biomarkers of kidney health collected at baseline, year 1, and year 2. We determined the effect of randomization on changes in kidney measures and then evaluated observational associations of achieved activity on each measure. RESULTS: Participants assigned to exercise walked on average 291 more steps per day than participants assigned to health education. The intervention was not significantly associated with changes in biomarkers of kidney health. In observational analyses, persons in the highest versus lowest quartile of activity (≥3,470 vs
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- 2023
3. Associations of Biomarkers of Kidney Tubule Health, Injury, and Inflammation with Left Ventricular Hypertrophy in Children with CKD.
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Jiang, Kuan, Greenberg, Jason, Abraham, Alison, Xu, Yunwen, Schelling, Jeffrey, Feldman, Harold, Schrauben, Sarah, Waikar, Sushrut, Shlipak, Michael, Coca, Steven, Vasan, Ramachandran, Gutierrez, Orlando, Ix, Joachim, Warady, Bradley, Kimmel, Paul, Bonventre, Joseph, Parikh, Chirag, Mitsnefes, Mark, Denburg, Michelle, Furth, Susan, and Wettersten, Nicholas
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Humans ,Child ,Hypertrophy ,Left Ventricular ,Inflammation ,Renal Insufficiency ,Chronic ,Kidney Tubules ,Biomarkers - Abstract
KEY POINTS: Higher plasma and urine kidney injury molecule-1, urine monocyte chemoattractant protein-1, and lower urine alpha-1-microglobulin were associated with left ventricular hypertrophy, even after adjustment for confounders. Biomarkers of tubular injury, dysfunction, and inflammation may indicate the severity of kidney pathology and are associated with left ventricular hypertrophy. BACKGROUND: Left ventricular hypertrophy (LVH) is common in children with CKD and is associated with an increased risk of cardiovascular disease and mortality. We have shown that several plasma and urine biomarkers are associated with increased risk of CKD progression. As CKD is associated with LVH, we sought to investigate the association between the biomarkers and LVH. METHODS: In the CKD in Children Cohort Study, children aged 6 months to 16 years with an eGFR of 30–90 ml/min per 1.73 m2 were enrolled at 54 centers in the United States and Canada. We measured plasma biomarkers kidney injury molecule-1 (KIM-1), tumor necrosis factor receptor-1, tumor necrosis factor receptor-2, soluble urokinase-type plasminogen activator receptor and urine KIM-1, monocyte chemoattractant protein-1 (MCP-1), YKL-40, alpha-1-microglobulin (alpha-1m), and epidermal growth factor in stored plasma and urine collected 5 months after enrollment. Echocardiograms were performed 1 year after enrollment. We assessed the cross-sectional association between the log2 biomarker levels and LVH (left ventricular mass index greater than or equal to the 95th percentile) using a Poisson regression model, adjusted for age, sex, race, body mass index, hypertension, glomerular diagnosis, urine protein-to-creatinine ratio, and eGFR at study entry. RESULTS: Among the 504 children, LVH prevalence was 12% (n=59) 1 year after enrollment. In a multivariable-adjusted model, higher plasma and urine KIM-1 and urine MCP-1 concentrations were associated with a higher prevalence of LVH (plasma KIM-1 prevalence ratio [PR] per log2: 1.27, 95% confidence interval [CI], 1.02 to 1.58; urine KIM-1 PR: 1.21, 95% CI, 1.11 to 1.48; and urine MCP-1 PR: 1.18, 95% CI, 1.04 to 1.34). After multivariable adjustment for covariates, lower urine alpha-1m was also associated with a higher prevalence of LVH (PR: 0.90, 95% CI, 0.82 to 0.99). CONCLUSIONS: Higher plasma and urine KIM-1, urine MCP-1, and lower urine alpha-1m were each associated with LVH prevalence in children with CKD. These biomarkers may better inform risk and help elucidate the pathophysiology of LVH in pediatric CKD.
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- 2023
4. Longitudinal biomarkers and kidney disease progression after acute kidney injury.
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Wen, Yumeng, Xu, Leyuan, Melchinger, Isabel, Thiessen-Philbrook, Heather, Moledina, Dennis G, Coca, Steven G, Hsu, Chi-Yuan, Go, Alan S, Liu, Kathleen D, Siew, Edward D, Ikizler, T Alp, Chinchilli, Vernon M, Kaufman, James S, Kimmel, Paul L, Himmelfarb, Jonathan, Cantley, Lloyd G, Parikh, Chirag R, and ASSESS-AKI Consortium
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ASSESS-AKI Consortium ,Kidney ,Animals ,Mice ,Disease Progression ,Inflammation ,Prospective Studies ,Renal Insufficiency ,Chronic ,Acute Kidney Injury ,Biomarkers ,Chronic kidney disease ,Diagnostics ,Epidemiology ,Nephrology ,Prevention ,Kidney Disease ,Clinical Research ,Aetiology ,2.1 Biological and endogenous factors ,Renal and urogenital ,Good Health and Well Being - Abstract
BACKGROUNDLongitudinal investigations of murine acute kidney injury (AKI) suggest that injury and inflammation may persist long after the initial insult. However, the evolution of these processes and their prognostic values are unknown in patients with AKI.METHODSIn a prospective cohort of 656 participants hospitalized with AKI, we measured 7 urine and 2 plasma biomarkers of kidney injury, inflammation, and tubular health at multiple time points from the diagnosis to 12 months after AKI. We used linear mixed-effect models to estimate biomarker changes over time, and we used Cox proportional hazard regressions to determine their associations with a composite outcome of chronic kidney disease (CKD) incidence and progression. We compared the gene expression kinetics of biomarkers in murine models of repair and atrophy after ischemic reperfusion injury (IRI).RESULTSAfter 4.3 years, 106 and 52 participants developed incident CKD and CKD progression, respectively. Each SD increase in the change of urine KIM-1, MCP-1, and plasma TNFR1 from baseline to 12 months was associated with 2- to 3-fold increased risk for CKD, while the increase in urine uromodulin was associated with 40% reduced risk for CKD. The trajectories of these biological processes were associated with progression to kidney atrophy in mice after IRI.CONCLUSIONSustained tissue injury and inflammation, and slower restoration of tubular health, are associated with higher risk of kidney disease progression. Further investigation into these ongoing biological processes may help researchers understand and prevent the AKI-to-CKD transition.FUNDINGNIH and NIDDK (grants U01DK082223, U01DK082185, U01DK082192, U01DK082183, R01DK098233, R01DK101507, R01DK114014, K23DK100468, R03DK111881, K01DK120783, and R01DK093771).
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- 2023
5. Plasma Soluble Tumor Necrosis Factor Receptor Concentrations and Clinical Events After Hospitalization: Findings From the ASSESS-AKI and ARID Studies.
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Coca, Steven, Vasquez-Rios, George, Mansour, Sherry, Moledina, Dennis, Thiessen-Philbrook, Heather, Wurfel, Mark, Bhatraju, Pavan, Himmelfarb, Jonathan, Siew, Eddie, Garg, Amit, Hsu, Chi-Yuan, Kimmel, Paul, Chinchilli, Vernon, Kaufman, James, Wilson, Michelle, Banks, Rosamonde, Packington, Rebecca, McCole, Eibhlin, Kurth, Mary, Richardson, Ciaran, Go, Alan, Selby, Nicholas, Parikh, Chirag, and Liu, Kathleen
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AKI follow-up ,Acute kidney injury (AKI) ,biomarker ,end-stage kidney disease (ESKD) ,heart failure ,hospitalization ,kidney disease progression ,mortality ,prognosis ,risk stratification ,sTNFR2 ,soluble tumor necrosis factor receptor 1 (sTNFR1) ,Humans ,Prospective Studies ,Receptors ,Tumor Necrosis Factor ,Acute Kidney Injury ,Hospitalization ,Biomarkers ,Heart Failure - Abstract
RATIONALE & OBJECTIVE: The role of plasma soluble tumor necrosis factor receptor 1 (sTNFR1) and sTNFR2 in the prognosis of clinical events after hospitalization with or without acute kidney injury (AKI) is unknown. STUDY DESIGN: Prospective cohort. SETTING & PARTICIPANTS: Hospital survivors from the ASSESS-AKI (Assessment, Serial Evaluation, and Subsequent Sequelae of Acute Kidney Injury) and ARID (AKI Risk in Derby) studies with and without AKI during the index hospitalization who had baseline serum samples for biomarker measurements. PREDICTORS: We measured sTNFR1 and sTNFR2 from plasma samples obtained 3 months after discharge. OUTCOMES: The associations of biomarkers with longitudinal kidney disease incidence and progression, heart failure, and death were evaluated. ANALYTICAL APPROACH: Cox proportional hazard models. RESULTS: Among 1,474 participants with plasma biomarker measurements, 19% had kidney disease progression, 14% had later heart failure, and 21% died during a median follow-up of 4.4 years. For the kidney outcome, the adjusted HRs (AHRs) per doubling in concentration were 2.9 (95% CI, 2.2-3.9) for sTNFR1 and 1.9 (95% CI, 1.5-2.5) for sTNFR2. AKI during the index hospitalization did not modify the association between biomarkers and kidney events. For heart failure, the AHRs per doubling in concentration were 1.9 (95% CI, 1.4-2.5) for sTNFR1 and 1.5 (95% CI, 1.2-2.0) for sTNFR2. For mortality, the AHRs were 3.3 (95% CI, 2.5-4.3) for sTNFR1 and 2.5 (95% CI, 2.0-3.1) for sTNFR2. The findings in ARID were qualitatively similar in terms of the magnitude of association between biomarkers and outcomes. LIMITATIONS: Different biomarker platforms and AKI definitions; limited generalizability to other ethnic groups. CONCLUSIONS: Plasma sTNFR1 and sTNFR2 measured 3 months after hospital discharge were independently associated with clinical events regardless of AKI status during the index admission. sTNFR1 and sTNFR2 may assist with the risk stratification of patients during follow-up.
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- 2023
6. Longitudinal Plasma Metabolome Patterns and Relation to Kidney Function and Proteinuria in Pediatric CKD
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Lee, Arthur M., Xu, Yunwen, Hu, Jian, Xiao, Rui, Hooper, Stephen R., Hartung, Erum A., Coresh, Josef, Rhee, Eugene P., Vasan, Ramachandran S., Kimmel, Paul L., Warady, Bradley A., Furth, Susan L., Denburg, Michelle R., Abraham, Alison, Anderson, Amanda, Ballard, Shawn, Bonventre, Joseph, Clish, Clary, Collins, Heather, Coca, Steven, Coresh, Josef, Deo, Rajat, Denburg, Michelle, Dubin, Ruth, Feldman, Harold I., Ferket, Bart S., Foster, Meredith, Furth, Susan, Ganz, Peter, Gossett, Daniel, Grams, Morgan, Greenberg, Jason, Gutiérrez, Orlando M., Hostetter, Tom, Inker, Lesley A., Ix, Joachim, Kimmel, Paul L., Klein, Jon, Levey, Andrew S., Massaro, Joseph, McMahon, Gearoid, Mifflin, Theodore, Nadkarni, Girish N., Parikh, Chirag, Ramachandran, Vasan S., Rebholz, Casey, Rhee, Eugene, Rovin, Brad, Sarnak, Mark, Sabbisetti, Venkata, Schelling, Jeffrey, Seegmiller, Jesse, Shlipak, Michael G., Shou, Haochang, Tin, Adriene, Waikar, Sushrut, Warady, Bradley, Whitehead, Krista, and Xie, Dawei
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- 2024
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7. Urinary Plasminogen as a Marker of Disease Progression in Human Glomerular Disease
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de Cos, Marina, Mosoyan, Gohar, Chauhan, Kinsuk, Troost, Jonathan P., Wong, Jenny S., Lefferts, Sean, Morgan, Paul, Meliambro, Kristin, Egerman, Marc, Ray, Justina, Parker, Tom, Levine, Daniel, Seshan, Surya, Bardash, Yoni, Horowitz, Benjamin, Kent, Candice A., Shaw, Melissa M., Perlman, Alan, Moledina, Dennis G., Coca, Steven G., and Campbell, Kirk N.
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- 2024
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8. Long-term impact of immediate versus deferred antiretroviral therapy on kidney health in people with HIV
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Pelchen-Matthews, Annegret, Mocroft, Amanda, Ryom, Lene, Ross, Michael J., Sharma, Shweta, Coca, Steven, Achhra, Amit, Cornell, Elaine, Tracy, Russell, Phillips, Andrew, Alonso, Marta Montero, Toulomi, Giota, Agan, Brian K., Medland, Nicholas, and Wyatt, Christina M.
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- 2024
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9. The Association of Posttraumatic Stress Disorder With Longitudinal Change in Glomerular Filtration Rate in World Trade Center Responders
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Koraishy, Farrukh M, Coca, Steven G, Cohen, Beth E, Scherrer, Jeffery F, Mann, Frank, Kuan, Pei-Fen, Luft, Benjamin J, and Clouston, Sean AP
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Biomedical and Clinical Sciences ,Clinical Sciences ,Anxiety Disorders ,Brain Disorders ,Clinical Research ,Post-Traumatic Stress Disorder (PTSD) ,Mental Health ,Good Health and Well Being ,Adult ,Emergency Responders ,Female ,Glomerular Filtration Rate ,Humans ,Middle Aged ,Risk Factors ,September 11 Terrorist Attacks ,Stress Disorders ,Post-Traumatic ,PTSD ,GFR ,depression ,kidney disease ,BMI = body mass index ,CKD = chronic kidney disease ,CVD = cardiovascular disease ,DM = diabetes mellitus ,eGFR = estimated glomerular filtration rate ,ESKD = end-stage kidney disease ,GFR = glomerular filtration rate ,PCL=17-item PTSD Checklist ,PHQ-9=Patient Health Questionnaire ,PTSD = posttraumatic stress disorder ,WTC = World Trade Center ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry ,Clinical sciences ,Biological psychology - Abstract
ObjectiveHigh levels of psychological distress increase the risk of a wide range of medical diseases. In this study, we investigated the association between posttraumatic stress disorder (PTSD) and kidney disease.MethodsWorld Trade Center (WTC) responders were included if they had two or more measures of estimated glomerular filtration rate (eGFR). The PTSD Checklist (PCL) was used to define no PTSD (PCL < 40), "mild" PTSD (40 ≤ PCL
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- 2021
10. Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project
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Lake, Blue, Zhang, Kun, Lecker, Stewart, Morales, Alexander, Bogen, Steve, Amodu, Afolarin A., Beck, Laurence, Henderson, Joel, Ilori, Titlayo, Maikhor, Shana, Onul, Ingrid, Schmidt, Insa, Verma, Ashish, Waikar, Sushrut, Yadati, Pranav, Yu, Guanghao, Colona, Mia R., McMahon, Gearoid, Hacohen, Nir, Greka, Anna, Hoover, Paul J., Marshall, Jamie L., Aulisio, Mark, Bush, William, Chen, Yijiang, Crawford, Dana, Madabhushi, Anant, Viswanathan, Vidya S., Bush, Lakeshia, Cooperman, Leslie, Gadegbeku, Crystal, Herlitz, Leal, Jolly, Stacey, Nguyen, Jane, O’Malley, Charles, O’Toole, John, Palmer, Ellen, Poggio, Emilio, Spates-Harden, Kassandra, Sedor, John, Sendrey, Dianna, Taliercio, Jonathan, Appelbaum, Paul, Balderes, Olivia, Barasch, Jonathan, Berroue, Cecilia, Bomback, Andrew, Canetta, Pietro A., D’Agati, Vivette, Kiryluk, Krzysztof, Kudose, Satoru, Mehl, Karla, Sabatello, Maya, Shang, Ning, de Pinho Gonçalves, Joana, Lardenoije, Roy, Migas, Lukasz, Van de Plas, Raf, Rennke, Helmut, Azeloglu, Evren, Campbell, Kirk, Coca, Steven, He, Cijang, He, John, Iyengar, Srinivas Ravi, Lefferts, Seanee, Nadkarni, Girish, Patel, Marissa, Tokita, Joji, Ward, Stephen, Xiong, Yuguang, Verdoes, Abraham, Sabo, Angela, Barwinska, Daria, Gisch, Debora Lidia, Williams, James, Kelly, Katherine, Dunn, Kenneth, Asghari, Mahla, Eadon, Michael, Ferkowicz, Michael, Dagher, Pierre, Ferreira, Ricardo Melo, Winfree, Seth, Bledsoe, Sharon, Wofford, Stephanie, El-Achkar, Tarek, Sutton, Timothy, Bowen, William, Cheng, Ying-Hua, Slade, Austen, Record, Elizabeth, Cheng, Yinghua, Borner, Katy, Herr, Bruce, Jain, Yashvardhan, Quardokus, Ellen, Atta, Mohamed, Bernard, Lauren, Menez, Steven, Parikh, Chirag, Corona Villalobos, Celia Pamela, Wang, Ashley, Wen, Yumeng, Xu, Alan, Chen, Sarah, Donohoe, Isabel, Johansen, Camille, Rosas, Sylvia, Sun, Jennifer, Ardayfio, Joseph, Bebiak, Jack, Campbell, Taneisha, Fox, Monica, Knight, Richard, Koewler, Robert, Pinkeney, Roy, Saul, John, Shpigel, Anna, Prasad, Pottumarthi, Madhavan, Sethu M., Parikh, Samir, Rovin, Brad, Shapiro, John P., Anderton, Christopher, Lukowski, Jessica, Pasa-Tolic, Ljiljana, Velickovic, Dusan, Oliver, George, Mao, Weiguang, Sealfon, Rachel, Troyanskaya, Olga, Pollack, Ari, Goltsev, Yury, Ginley, Brandon, Anjani, Kavya, Laszik, Zoltan G., Mukatash, Tariq, Nolan, Garry, Beyda, David, Bracamonte, Erika, Brosius, Frank, Campos, Baltazar, Marquez, Nicole, Mendoza, Katherine, Scott, Raymond, Thajudeen, Bijin, Tsosie, Rebecca, Woodhead, Gregory, Saunders, Milda, Alloway, Rita R., Lee, Paul J., Rike, Adele, Shi, Tiffany, Woodle, E. Steve, Bjornstad, Petter, Hsieh, Elena, Kendrick, Jessica, Pyle, Laura, Thurman, Joshua, Vinovskis, Carissa, Wrobel, Julia, Lucarelli, Nicholas, Sarder, Pinaki, Bui, James, Carmona-Powell; Ron Gaba, Eunice, Kelly, Tanika, Lash, James, Meza, Natalie, Redmond, Devona, Renteria, Amada, Ricardo, Ana, Setty, Suman, Srivastava, Anand, Alakwaa, Fadhl, Ascani, Heather, Balis, Ul, Bitzer, Markus, Blanc, Victoria, Bonevich, Nikki, Conser, Ninive, Demeke, Dawit, Dull, Rachel, Eddy, Sean, Frey, Renee, Hartman, John, He, Yongqun Oliver, Hodgin, Jeffrey, Kretzler, Matthias, Lienczewski, Chrysta, Luo, Jinghui, Mariani, Laura, McCown, Phillip, Menon, Rajasree, Nair, Viji, Otto, Edgar, Reamy, Rebecca, Rose, Michael, Schaub, Jennifer, Steck, Becky, Wright, Zachary, Coleman, Alyson, Henderson-Brown; Jerica Berge, Dorisann, Caramori, Maria Luiza, Adeyi, Oyedele, Nachman, Patrick, Safadi, Sami, Flanagan, Siobhan, Ma, Sisi, Klett, Susan, Wolf, Susan, Harindhanavudhi, Tasma, Rao, Via, Bream, Peter, Froment, Anne, Kelley, Sara, Mottl, Amy, Chaudhury; Evan Zeitler, Prabir Roy, Bender, Filitsa, Elder, Michele, Gilliam, Matthew, Hall, Daniel E., Kellum, John A., Murugan, Raghavan, Palevsky, Paul, Rosengart, Matthew, Tan, Roderick, Tublin, Mitchell, Winters, James, Bansal, Shweta, Montellano, Richard, Pamreddy, Annapurna, Sharma, Kumar, Venkatachalam, Manjeri, Ye, Hongping, Zhang, Guanshi, Basit, Mujeeb, Cai, Qi, Hendricks, Allen, Hedayati, Susan, Kermani, Asra, Lee, Simon C., Ma, Shihong, Miller, Richard Tyler, Moe, Orson W., Park, Harold, Patel, Jiten, Pillai, Anil, Sambandam, Kamalanathan, Torrealba, Jose, Toto, Robert D., Vazquez, Miguel, Wang, Nancy, Wen, Natasha, Zhang, Dianbo, Alpers, Charles, Berglund, Ashley, Berry, Brooke, Blank, Kristina, Brown, Keith, Carson, Jonas, Daniel, Stephen, de Boer, Ian H., Dighe, Ashveena L., Dowd, Frederick, Grewenow, Stephanie M., Himmelfarb, Jonathan, Hoofnagle, Andrew, Jefferson, Nichole, Larson, Brandon, Limonte, Christine, McClelland, Robyn, Mooney, Sean, Nam, Yunbi, Park, Christopher, Phuong, Jimmy, Rezaei, Kasra, Roberts, Glenda, Sarkisova, Natalya, Shankland, Stuart, Snyder, Jaime, Stutzke, Christy, Tuttle, Katherine, Wangperawong, Artit, Wilcox, Adam, Williams, Kayleen, Young, Bessie, Allen, Jamie, Caprioli, Richard M., de Caestecker, Mark, Djambazova, Katerina, Dufresne, Martin, Farrow, Melissa, Fogo, Agnes, Sharman, Kavya, Spraggins, Jeffrey, Basta, Jeannine, Conlon, Kristine, Diettman, Sabine M., Gaut, Joseph, Kaushal, Madhurima, Jain, Sanjay, Knoten, Amanda, Minor, Brittany, Nwanne, Gerald, Vijayan, Anitha, Zhang, Bo, Arora, Tanima, Cantley, Lloyd, Victoria Castro, Angela M., Kakade, Vijayakumar, Moeckel, Gilbert, Moledina, Dennis, Shaw, Melissa, Wilson, Francis P., El-Achkar, Tarek M., and Eadon, Michael T.
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- 2024
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11. Urinary Biomarkers and Kidney Injury in VA NEPHRON-D: Phenotyping Acute Kidney Injury in Clinical Trials
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Kiernan, Elizabeth A., Hu, David, Philbrook, Heather Thiessen, Ix, Joachim H., Bonventre, Joseph V., Coca, Steven G., Moledina, Dennis G., Fried, Linda F., Shlipak, Michael G., and Parikh, Chirag R.
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- 2024
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12. Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection
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Paranjpe, Ishan, Jayaraman, Pushkala, Su, Chen-Yang, Zhou, Sirui, Chen, Steven, Thompson, Ryan, Del Valle, Diane Marie, Kenigsberg, Ephraim, Zhao, Shan, Jaladanki, Suraj, Chaudhary, Kumardeep, Ascolillo, Steven, Vaid, Akhil, Gonzalez-Kozlova, Edgar, Kauffman, Justin, Kumar, Arvind, Paranjpe, Manish, Hagan, Ross O., Kamat, Samir, Gulamali, Faris F., Xie, Hui, Harris, Joceyln, Patel, Manishkumar, Argueta, Kimberly, Batchelor, Craig, Nie, Kai, Dellepiane, Sergio, Scott, Leisha, Levin, Matthew A., He, John Cijiang, Suarez-Farinas, Mayte, Coca, Steven G., Chan, Lili, Azeloglu, Evren U., Schadt, Eric, Beckmann, Noam, Gnjatic, Sacha, Merad, Miram, Kim-Schulze, Seunghee, Richards, Brent, Glicksberg, Benjamin S., Charney, Alexander W., and Nadkarni, Girish N.
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- 2023
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13. Achieved blood pressure post-acute kidney injury and risk of adverse outcomes after AKI: A prospective parallel cohort study.
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McCoy, Ian, Brar, Sandeep, Liu, Kathleen D, Go, Alan S, Hsu, Raymond K, Chinchilli, Vernon M, Coca, Steven G, Garg, Amit X, Himmelfarb, Jonathan, Ikizler, T Alp, Kaufman, James, Kimmel, Paul L, Lewis, Julie B, Parikh, Chirag R, Siew, Edward D, Ware, Lorraine B, Zeng, Hui, Hsu, Chi-Yuan, and Assessment, Serial Evaluation, and Subsequent Sequelae in Acute Kidney Injury (ASSESS-AKI) study investigators
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Assessment ,Serial Evaluation ,and Subsequent Sequelae in Acute Kidney Injury (ASSESS-AKI) study investigators ,AKI ,blood pressure ,hypertension ,Kidney Disease ,Cardiovascular ,Clinical Research ,Patient Safety ,2.1 Biological and endogenous factors ,2.4 Surveillance and distribution ,Renal and urogenital ,Urology & Nephrology ,Clinical Sciences - Abstract
BackgroundThere has recently been considerable interest in better understanding how blood pressure should be managed after an episode of hospitalized AKI, but there are scant data regarding the associations between blood pressure measured after AKI and subsequent adverse outcomes. We hypothesized that among AKI survivors, higher blood pressure measured three months after hospital discharge would be associated with worse outcomes. We also hypothesized these associations between blood pressure and outcomes would be similar among those who survived non-AKI hospitalizations.MethodsWe quantified how systolic blood pressure (SBP) observed three months after hospital discharge was associated with risks of subsequent hospitalized AKI, loss of kidney function, mortality, and heart failure events among 769 patients in the prospective ASSESS-AKI cohort study who had hospitalized AKI. We repeated this analysis among the 769 matched non-AKI ASSESS-AKI enrollees. We then formally tested for AKI interaction in the full cohort of 1538 patients to determine if these associations differed among those who did and did not experience AKI during the index hospitalization.ResultsAmong 769 patients with AKI, 42 % had subsequent AKI, 13 % had loss of kidney function, 27 % died, and 18 % had heart failure events. SBP 3 months post-hospitalization did not have a stepwise association with the risk of subsequent AKI, loss of kidney function, mortality, or heart failure events. Among the 769 without AKI, there was also no stepwise association with these risks. In formal interaction testing using the full cohort of 1538 patients, hospitalized AKI did not modify the association between post-discharge SBP and subsequent risks of adverse clinical outcomes.ConclusionsContrary to our first hypothesis, we did not observe that higher stepwise blood pressure measured three months after hospital discharge with AKI was associated with worse outcomes. Our data were consistent with our second hypothesis that the association between blood pressure measured three months after hospital discharge and outcomes among AKI survivors is similar to that observed among those who survived non-AKI hospitalizations.
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- 2021
14. Genome-Wide Polygenic Risk Score for CKD in Individuals with APOL1 High-Risk Genotypes
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Vy, Ha My T., Coca, Steven G., Sawant, Ashwin, Sakhuja, Ankit, Gutierrez, Orlando M., Cooper, Richard, Loos, Ruth J.F., Horowitz, Carol R., Do, Ron, and Nadkarni, Girish N.
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- 2024
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15. Molecular Signatures of Glomerular Neovascularization in a Patient with Diabetic Kidney Disease
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Ferkowicz, Michael J., Verma, Ashish, Barwinska, Daria, Melo Ferreira, Ricardo, Henderson, Joel M., Kirkpatrick, Mary, Silva, Paolo S., Steenkamp, Devin W., Phillips, Carrie L., Waikar, Sushrut S., Sutton, Timothy A., Lake, Blue, Zhang, Kun, Lecker, Stewart, Morales, Alexander, Stillman, Isaac, Bogen, Steve, Amodu, Afolarin A., Beck, Laurence, Henderson, Joel, Ilori, Titlayo, Maikhor, Shana, Onul, Ingrid, Schmidt, Insa, Verma, Ashish, Waikar, Sushrut, Yadati, Pranav, Yu, Guanghao, Colona, Mia R., McMahon, Gearoid, Weins, Astrid, Hacohen, Nir, Greka, Anna, Hoover, Paul J., Marshall, Jamie L., Aulisio, Mark, Bush, William, Chen, Yijiang, Crawford, Dana, Madabhushi, Anant, Viswanathan, Vidya S., Bush, Lakeshia, Cooperman, Leslie, Gadegbeku, Crystal, Herlitz, Leal, Jolly, Stacey, Nguyen, Jane, O’Malley, Charles, O’Toole, John, Palmer, Ellen, Poggio, Emilio, Spates-Harden, Kassandra, Sedor, John, Sendrey, Dianna, Taliercio, Jonathan, Appelbaum, Paul, Balderes, Olivia, Barasch, Jonathan, Berroue, Cecilia, Bomback, Andrew, Canetta, Pietro A., D’Agati, Vivette, Kiryluk, Krzysztof, Kudose, Satoru, Mehl, Karla, Sabatello, Maya, Shang, Ning, Varela, German, de Pinho Gonçalves, Joana, Lardenoije, Roy, Migas, Lukasz, Van de Plas, Raf, Barisoni, Laura, Rennke, Helmut, Azeloglu, Evren, Campbell, Kirk, Coca, Steven, He, Cijang, He, John, Iyengar, Srinivas Ravi, Lefferts, Seanee, Nadkarni, Girish, Patel, Marissa, Tokita, Joji, Ward, Stephen, Xiong, Yuguang, Verdoes, Abraham, Sabo, Angela, Barwinska, Daria, Gisch, Debora Lidia, Williams, James, Kelly, Katherine, Dunn, Kenneth, Asghari, Mahla, Eadon, Michael, Ferkowicz, Michael, Dagher, Pierre, Ferreira, Ricardo Melo, Winfree, Seth, Bledsoe, Sharon, Wofford, Stephanie, El-Achkar, Tarek, Sutton, Timothy, Bowen, William, Cheng, Ying-Hua, Slade, Austen, Record, Elizabeth, Cheng, Yinghua, Borner, Katy, Herr, Bruce, Jain, Yashvardhan, Quardokus, Ellen, Atta, Mohamed, Bernard, Lauren, Menez, Steven, Parikh, Chirag, Corona Villalobos, Celia Pamela, Wang, Ashley, Wen, Yumeng, Xu, Alan, Chen, Sarah, Donohoe, Isabel, Johansen, Camille, Rosas, Sylvia, Sun, Jennifer, Ardayfio, Joseph, Bebiak, Jack, Brown, Keith, Campbell, Taneisha, Fox, Monica, Hayashi, Lynda, Jefferson, Nichole, Richard Knight, Jennifer Jones, Koewler, Robert, Pinkeney, Roy, Saul, John, Shpigel, Anna, Stutzke, Christy, Prasad, Pottumarthi, Madhavan, Sethu M., Parikh, Samir, Rovin, Brad, Shapiro, John P., Anderton, Christopher, Lukowski, Jessica, Pasa-Tolic, Ljiljana, Velickovic, Dusan, Oliver, George, Mao, Weiguang, Sealfon, Rachel, Troyanskaya, Olga, Wong, Aaron, Pollack, Ari, Goltsev, Yury, Ginley, Brandon, Lutnick, Brendon, Anjani, Kavya, Laszik, Zoltan G., Mukatash, Tariq, Nolan, Garry, Beyda, David, Bracamonte, Erika, Brosius, Frank, Campos, Baltazar, Marquez, Nicole, Mendoza, Katherine, Scott, Raymond, Thajudeen, Bijin, Tsosie, Rebecca, Woodhead, Gregory, Saunders, Milda, Alloway, Rita R., Lee, Paul J., Rike, Adele, Shi, Tiffany, Woodle, E. Steve, Bjornstad, Petter, Hsieh, Elena, Kendrick, Jessica, Pyle, Laura, Thurman, Joshua, Vinovskis, Carissa, Wrobel, Julia, Lucarelli, Nicholas, Sarder, Pinaki, Bui, James, Carmona-Powell, Eunice, Gaba, Ron, Kelly, Tanika, Lash, James, Meza, Natalie, Redmond, Devona, Renteria, Amada, Ricardo, Ana, Setty, Suman, Srivastava, Anand, Alakwaa, Fadhl, Ascani, Heather, Balis, Ul, Bitzer, Markus, Blanc, Victoria, Bonevich, Nikki, Conser, Ninive, Demeke, Dawit, Dull, Rachel, Eddy, Sean, Frey, Renee, Hartman, John, He, Yongqun Oliver, Hodgin, Jeffrey, Kretzler, Matthias, Lienczewski, Chrysta, Luo, Jinghui, Mariani, Laura, McCown, Phillip, Menon, Rajasree, Nair, Viji, Otto, Edgar, Reamy, Rebecca, Rose, Michael, Schaub, Jennifer, Steck, Becky, Wright, Zachary, Coleman, Alyson, Henderson-Brown, Dorisann, Berge, Jerica, Caramori, Maria Luiza, Adeyi, Oyedele, Nachman, Patrick, Safadi, Sami, Flanagan, Siobhan, Ma, Sisi, Klett, Susan, Wolf, Susan, Harindhanavudhi, Tasma, Rao, Via, Bream, Peter, Froment, Anne, Kelley, Sara, Mottl, Amy, Roy-Chaudhury, Prabir, Zeitler, Evan, Bender, Filitsa, Elder, Michele, Gilliam, Matthew, Hall, Daniel E., Kellum, John A., Murugan, Raghavan, Palevsky, Paul, Rosengart, Matthew, Tan, Roderick, Tublin, Mitchell, Winters, James, Bansal, Shweta, Montellano, Richard, Pamreddy, Annapurna, Sharma, Kumar, Venkatachalam, Manjeri, Ye, Hongping, Zhang, Guanshi, Basit, Mujeeb, Cai, Qi, Hendricks, Allen, Hedayati, Susan, and Asra
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- 2024
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16. The ASSESS-AKI Study found urinary epidermal growth factor is associated with reduced risk of major adverse kidney events
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Menez, Steven, Wen, Yumeng, Xu, Leyuan, Moledina, Dennis G., Thiessen-Philbrook, Heather, Hu, David, Obeid, Wassim, Bhatraju, Pavan K., Ikizler, T. Alp, Siew, Edward D., Chinchilli, Vernon M., Garg, Amit X., Go, Alan S., Liu, Kathleen D., Kaufman, James S., Kimmel, Paul L., Himmelfarb, Jonathan, Coca, Steven G., Cantley, Lloyd G., and Parikh, Chirag R.
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- 2023
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17. Structured Moderate Exercise and Biomarkers of Kidney Health in Sedentary Older Adults: The Lifestyle Interventions and Independence for Elders Randomized Clinical Trial
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Sheshadri, Anoop, Lai, Mason, Hsu, Fang-Chi, Bauer, Scott R., Chen, Shyh-Huei, Tse, Warren, Jotwani, Vasantha, Tranah, Gregory J., Lai, Jennifer C., Hallan, Stein, Fielding, Roger A., Liu, Christine, Ix, Joachim H., Coca, Steven G., and Shlipak, Michael G.
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- 2023
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18. Plasma Biomarkers and Incident CKD Among Individuals Without Diabetes
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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, and Rebholz, Casey M.
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- 2023
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19. Genome-Wide Polygenic Risk Score for CKD in Individuals with APOL1 High-Risk Genotypes
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Vy, Ha My T., Coca, Steven G., Sawant, Ashwin, Sakhuja, Ankit, Gutierrez, Orlando M., Cooper, Richard, Loos, Ruth J.F., Horowitz, Carol R., Do, Ron, and Nadkarni, Girish N.
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- 2023
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20. Characteristics and Outcomes of Individuals With Pre-existing Kidney Disease and COVID-19 Admitted to Intensive Care Units in the United States
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Flythe, Jennifer E, Assimon, Magdalene M, Tugman, Matthew J, Chang, Emily H, Gupta, Shruti, Shah, Jatan, Sosa, Marie Anne, Renaghan, Amanda DeMauro, Melamed, Michal L, Wilson, F Perry, Neyra, Javier A, Rashidi, Arash, Boyle, Suzanne M, Anand, Shuchi, Christov, Marta, Thomas, Leslie F, Edmonston, Daniel, Leaf, David E, Walther, Carl P, Anumudu, Samaya J, Arunthamakun, Justin, Kopecky, Kathleen F, Milligan, Gregory P, McCullough, Peter A, Nguyen, Thuy-Duyen, Shaefi, Shahzad, Krajewski, Megan L, Shankar, Sidharth, Pannu, Ameeka, Valencia, Juan D, Waikar, Sushrut S, Kibbelaar, Zoe A, Athavale, Ambarish M, Hart, Peter, Upadhyay, Shristi, Vohra, Ishaan, Green, Adam, Rachoin, Jean-Sebastien, Schorr, Christa A, Shea, Lisa, Edmonston, Daniel L, Mosher, Christopher L, Shehata, Alexandre M, Cohen, Zaza, Allusson, Valerie, Bambrick-Santoyo, Gabriela, Bhatti, Noor ul aain, Mehta, Bijal, Williams, Aquino, Brenner, Samantha K, Walters, Patricia, Go, Ronaldo C, Rose, Keith M, Chan, Lili, Mathews, Kusum S, Coca, Steven G, Altman, Deena R, Saha, Aparna, Soh, Howard, Wen, Huei Hsun, Bose, Sonali, Leven, Emily A, Wang, Jing G, Mosoyan, Gohar, Nadkarni, Girish N, Pattharanitima, Pattharawin, Gallagher, Emily J, Friedman, Allon N, Guirguis, John, Kapoor, Rajat, Meshberger, Christopher, Kelly, Katherine J, Parikh, Chirag R, Garibaldi, Brian T, Corona-Villalobos, Celia P, Wen, Yumeng, Menez, Steven, Malik, Rubab F, Cervantes, Carmen Elena, Gautam, Samir C, Mallappallil, Mary C, Ouyang, Jie, John, Sabu, Yap, Ernie, Melaku, Yohannes, Mohamed, Ibrahim, Bajracharya, Siddhartha, Puri, Isha, Thaxton, Mariah, Bhattacharya, Jyotsna, Wagner, John, Boudourakis, Leon, Nguyen, H Bryant, Ahoubim, Afshin, Kashani, Kianoush, Tehranian, Shahrzad, Sirganagari, Dheeraj Reddy, Guru, Pramod K, and Zhou, Yan
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Clinical Research ,Cardiovascular ,Clinical Trials and Supportive Activities ,Kidney Disease ,Evaluation of treatments and therapeutic interventions ,6.1 Pharmaceuticals ,Renal and urogenital ,Good Health and Well Being ,Aged ,COVID-19 ,Comorbidity ,Critical Illness ,Female ,Hospital Mortality ,Humans ,Intensive Care Units ,Kidney Function Tests ,Male ,Renal Dialysis ,Renal Insufficiency ,Chronic ,Retrospective Studies ,Risk Factors ,SARS-CoV-2 ,Treatment Outcome ,United States ,STOP-COVID Investigators ,COVID-19 outcome ,Coronavirus disease 2019 ,altered mental status ,chronic kidney disease ,clinical course ,clinical trajectory ,critical illness ,dialysis ,end-stage kidney disease ,end-stage renal disease ,glomerular filtration rate ,in-hospital mortality ,intensive care unit ,prognosis ,renal function ,severe COVID-19 ,severe acute respiratory syndrome coronavirus 2 ,Clinical Sciences ,Public Health and Health Services ,Urology & Nephrology - Abstract
Rationale & objectiveUnderlying kidney disease is an emerging risk factor for more severe coronavirus disease 2019 (COVID-19) illness. We examined the clinical courses of critically ill COVID-19 patients with and without pre-existing chronic kidney disease (CKD) and investigated the association between the degree of underlying kidney disease and in-hospital outcomes.Study designRetrospective cohort study.Settings & participants4,264 critically ill patients with COVID-19 (143 patients with pre-existing kidney failure receiving maintenance dialysis; 521 patients with pre-existing non-dialysis-dependent CKD; and 3,600 patients without pre-existing CKD) admitted to intensive care units (ICUs) at 68 hospitals across the United States.Predictor(s)Presence (vs absence) of pre-existing kidney disease.Outcome(s)In-hospital mortality (primary); respiratory failure, shock, ventricular arrhythmia/cardiac arrest, thromboembolic events, major bleeds, and acute liver injury (secondary).Analytical approachWe used standardized differences to compare patient characteristics (values>0.10 indicate a meaningful difference between groups) and multivariable-adjusted Fine and Gray survival models to examine outcome associations.ResultsDialysis patients had a shorter time from symptom onset to ICU admission compared to other groups (median of 4 [IQR, 2-9] days for maintenance dialysis patients; 7 [IQR, 3-10] days for non-dialysis-dependent CKD patients; and 7 [IQR, 4-10] days for patients without pre-existing CKD). More dialysis patients (25%) reported altered mental status than those with non-dialysis-dependent CKD (20%; standardized difference=0.12) and those without pre-existing CKD (12%; standardized difference=0.36). Half of dialysis and non-dialysis-dependent CKD patients died within 28 days of ICU admission versus 35% of patients without pre-existing CKD. Compared to patients without pre-existing CKD, dialysis patients had higher risk for 28-day in-hospital death (adjusted HR, 1.41 [95% CI, 1.09-1.81]), while patients with non-dialysis-dependent CKD had an intermediate risk (adjusted HR, 1.25 [95% CI, 1.08-1.44]).LimitationsPotential residual confounding.ConclusionsFindings highlight the high mortality of individuals with underlying kidney disease and severe COVID-19, underscoring the importance of identifying safe and effective COVID-19 therapies in this vulnerable population.
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- 2021
21. Biomarkers of inflammation and repair in kidney disease progression
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Puthumana, Jeremy, Thiessen-Philbrook, Heather, Xu, Leyuan, Coca, Steven G, Garg, Amit X, Himmelfarb, Jonathan, Bhatraju, Pavan K, Ikizler, Talat Alp, Siew, Edward, Ware, Lorraine B, Liu, Kathleen D, Go, Alan S, Kaufman, James S, Kimmel, Paul L, Chinchilli, Vernon M, Cantley, Lloyd, and Parikh, Chirag R
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Kidney Disease ,Clinical Research ,4.2 Evaluation of markers and technologies ,2.1 Biological and endogenous factors ,Detection ,screening and diagnosis ,Aetiology ,Renal and urogenital ,Acute Kidney Injury ,Aged ,Animals ,Biomarkers ,Chemokine CCL2 ,Chitinase-3-Like Protein 1 ,Disease Models ,Animal ,Disease Progression ,Female ,Follow-Up Studies ,Glomerular Filtration Rate ,Humans ,Inflammation ,Male ,Mice ,Middle Aged ,Renal Insufficiency ,Chronic ,Chronic kidney disease ,Clinical practice ,Molecular diagnosis ,Nephrology ,Medical and Health Sciences ,Immunology - Abstract
INTRODUCTIONAcute kidney injury and chronic kidney disease (CKD) are common in hospitalized patients. To inform clinical decision making, more accurate information regarding risk of long-term progression to kidney failure is required.METHODSWe enrolled 1538 hospitalized patients in a multicenter, prospective cohort study. Monocyte chemoattractant protein 1 (MCP-1/CCL2), uromodulin (UMOD), and YKL-40 (CHI3L1) were measured in urine samples collected during outpatient follow-up at 3 months. We followed patients for a median of 4.3 years and assessed the relationship between biomarker levels and changes in estimated glomerular filtration rate (eGFR) over time and the development of a composite kidney outcome (CKD incidence, CKD progression, or end-stage renal disease). We paired these clinical studies with investigations in mouse models of renal atrophy and renal repair to further understand the molecular basis of these markers in kidney disease progression.RESULTSHigher MCP-1 and YKL-40 levels were associated with greater eGFR decline and increased incidence of the composite renal outcome, whereas higher UMOD levels were associated with smaller eGFR declines and decreased incidence of the composite kidney outcome. A multimarker score increased prognostic accuracy and reclassification compared with traditional clinical variables alone. The mouse model of renal atrophy showed greater Ccl2 and Chi3l1 mRNA expression in infiltrating macrophages and neutrophils, respectively, and evidence of progressive renal fibrosis compared with the repair model. The repair model showed greater Umod expression in the loop of Henle and correspondingly less fibrosis.CONCLUSIONSBiomarker levels at 3 months after hospitalization identify patients at risk for kidney disease progression.FUNDINGNIH.
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- 2021
22. A prospective cohort study of acute kidney injury and kidney outcomes, cardiovascular events, and death.
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Ikizler, T Alp, Parikh, Chirag R, Himmelfarb, Jonathan, Chinchilli, Vernon M, Liu, Kathleen D, Coca, Steven G, Garg, Amit X, Hsu, Chi-Yuan, Siew, Edward D, Wurfel, Mark M, Ware, Lorraine B, Faulkner, Georgia Brown, Tan, Thida C, Kaufman, James S, Kimmel, Paul L, Go, Alan S, and ASSESS-AKI Study Investigators
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ASSESS-AKI Study Investigators ,Kidney ,Humans ,Cardiovascular Diseases ,Glomerular Filtration Rate ,Aftercare ,Patient Discharge ,Risk Factors ,Prospective Studies ,Adult ,Acute Kidney Injury ,acute kidney injury ,acute renal failure ,cardiovascular disease ,chronic kidney disease ,heart failure ,mortality ,Cardiovascular ,Clinical Research ,Kidney Disease ,Aging ,Renal and urogenital ,Urology & Nephrology ,Clinical Sciences - Abstract
Acute kidney injury (AKI) has been reported to be associated with excess risks of death, kidney disease progression and cardiovascular events although previous studies have important limitations. To further examine this, we prospectively studied adults from four clinical centers surviving three months and more after hospitalization with or without AKI who were matched on center, pre-admission CKD status, and an integrated priority score based on age, prior cardiovascular disease or diabetes mellitus, preadmission estimated glomerular filtration rate (eGFR) and treatment in the intensive care unit during the index hospitalization between December 2009-February 2015, with follow-up through November 2018. All participants had assessments of kidney function before (eGFR) and at three months and annually (eGFR and proteinuria) after the index hospitalization. Associations of AKI with outcomes were examined after accounting for pre-admission and three-month post-discharge factors. Among 769 AKI (73% Stage 1, 14% Stage 2, 13% Stage 3) and 769 matched non-AKI adults, AKI was associated with higher adjusted rates of incident CKD (adjusted hazard ratio 3.98, 95% confidence interval 2.51-6.31), CKD progression (2.37,1.28-4.39), heart failure events (1.68, 1.22-2.31) and all-cause death (1.78, 1.24-2.56). AKI was not associated with major atherosclerotic cardiovascular events in multivariable analysis (0.95, 0.70-1.28). After accounting for degree of kidney function recovery and proteinuria at three months after discharge, the associations of AKI with heart failure (1.13, 0.80-1.61) and death (1.29, 0.84-1.98) were attenuated and no longer significant. Thus, assessing kidney function recovery and proteinuria status three months after AKI provides important prognostic information for long-term clinical outcomes.
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- 2021
23. Renalism: Avoiding Procedure, More Harm than Good?
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Adusumilli, Radha K. and Coca, Steven
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- 2023
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24. Evaluation of Plasma Biomarkers to Predict Major Adverse Kidney Events in Hospitalized Patients With COVID-19
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Deng, Jie, Atta, Mo, Bagnasco, Serena M., Ko, Albert, Iwasaki, Akiko, Farhadian, Shelli, Nelson, Allison, Casanovas-Massana, Arnau, White, Elizabeth B., Schulz, Wade, Coppi, Andreas, Young, Patrick, Nunez, Angela, Shepard, Denise, Matos, Irene, Strong, Yvette, Anastasio, Kelly, Brower, Kristina, Kuang, Maxine, Chiorazzi, Michael, Bermejo, Santos, Vijayakumar, Pavithra, Geng, Bertie, Fournier, John, Minasyan, Maksym, Muenker, M. Catherine, Moore, Adam J., Nadkarni, Girish, Menez, Steven, Coca, Steven G., Moledina, Dennis G., Wen, Yumeng, Chan, Lili, Thiessen-Philbrook, Heather, Obeid, Wassim, Garibaldi, Brian T., Azeloglu, Evren U., Ugwuowo, Ugochukwu, Sperati, C. John, Arend, Lois J., Rosenberg, Avi Z., Kaushal, Madhurima, Jain, Sanjay, Wilson, F. Perry, and Parikh, Chirag R.
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- 2023
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25. Circulating Metabolomic Associations with Neurocognitive Outcomes in Pediatric CKD
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Lee, Arthur M., Xu, Yunwen, Hooper, Stephen R., Abraham, Alison G., Hu, Jian, Xiao, Rui, Matheson, Matthew B., Brunson, Celina, Rhee, Eugene P., Coresh, Josef, Vasan, Ramachandran S., Schrauben, Sarah, Kimmel, Paul L., Warady, Bradley A., Furth, Susan L., Hartung, Erum A., Denburg, Michelle R., Abraham, Alison, Anderson, Amanda, Ballard, Shawn, Bonventre, Joseph, Clish, Clary, Collins, Heather, Coca, Steven, Coresh, Josef, Deo, Rajat, Denburg, Michelle, Dubin, Ruth, Feldman, Harold I., Ferket, Bart S., Foster, Meredith, Furth, Susan, Ganz, Peter, Gossett, Daniel, Grams, Morgan, Greenberg, Jason, Gutiérrez, Orlando M., Hostetter, Tom, Inker, Lesley A., Ix, Joachim, Kimmel, Paul L., Klein, Jon, Levey, Andrew S., Massaro, Joseph, McMahon, Gearoid, Mifflin, Theodore, Nadkarni, Girish N., Parikh, Chirag, Ramachandran, Vasan S., Rebholz, Casey, Rhee, Eugene, Rovin, Brad, Sarnak, M., Sabbisetti, Venkata, Schelling, Jeffrey, Seegmiller, Jesse, Shlipak, Michael G., Shou, Haochang, Tin, Adriene, Waikar, Sushrut, Warady, Bradley, Whitehead, Krista, and Xie, Dawei
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- 2024
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26. Cannabis Use and CKD: Epidemiological Associations and Mendelian Randomization
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Dellepiane, Sergio, Paranjpe, Ishan, Rajagopal, Madhumitha, Kamat, Samir, O’Hagan, Ross, Gulamali, Faris, Rein, Joshua L., Charney, Alexander W., Do, Ron, Coca, Steven, Glicksberg, Benjamin S., and Nadkarni, Girish N.
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- 2023
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27. A prospective cohort study of acute kidney injury and kidney outcomes, cardiovascular events, and death
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Chinchilli, Vernon M., Go, Alan S., Himmelfarb, Jonathan, Ikizler, T. Alp, Kaufman, James S., Kimmel, Paul L., Parikh, Chirag R., Stokes, John B., Coca, Steven, Garg, Amit, Zheng, Sijie, Pravoverov, Leonid, Hsu, Chi-yuan, Hsu, Raymond K., Liu, Kathleen D., Reeves, W. Brian, Siew, Edward D., Lewis, Julia B., Ware, Lorraine, Devarajan, Prasad, Krawczeski, Catherine, Bennett, Michael, Zappitelli, Michael, Wurfel, Mark, Coca, Steven G., Garg, Amit X., Wurfel, Mark M., Ware, Lorraine B., Faulkner, Georgia Brown, and Tan, Thida C.
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- 2021
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28. The Association of Angiogenesis Markers With Acute Kidney Injury and Mortality After Cardiac Surgery
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Mansour, Sherry G, Zhang, William R, Moledina, Dennis G, Coca, Steven G, Jia, Yaqi, Thiessen-Philbrook, Heather, McArthur, Eric, Inoue, Kazunori, Koyner, Jay L, Shlipak, Michael G, Wilson, F Perry, Garg, Amit X, Ishibe, Shuta, Parikh, Chirag R, and Consortium, TRIBE-AKI
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Biomedical and Clinical Sciences ,Clinical Sciences ,Cardiovascular ,Clinical Research ,Kidney Disease ,Renal and urogenital ,Good Health and Well Being ,Acute Kidney Injury ,Aged ,Biomarkers ,Cardiac Surgical Procedures ,Creatinine ,Endpoint Determination ,Female ,Humans ,Kidney ,Male ,Middle Aged ,Neovascularization ,Physiologic ,Outcome Assessment ,Health Care ,Postoperative Complications ,Prospective Studies ,Receptors ,Vascular Endothelial Growth Factor ,Risk Assessment ,United States ,Vascular Endothelial Growth Factor A ,TRIBE-AKI Consortium ,AKI duration ,Acute kidney injury ,VEGF-A ,angiogenesis ,angiogenic growth factor ,biomarker ,cardiac surgery ,cytokine ,mortality ,placental growth factor ,soluble VEGF receptor 1 ,vascular endothelial growth factor A ,Public Health and Health Services ,Urology & Nephrology ,Clinical sciences - Abstract
Rationale & objectiveThe process of angiogenesis after kidney injury may determine recovery and long-term outcomes. We evaluated the association of angiogenesis markers with acute kidney injury (AKI) and mortality after cardiac surgery.Study designProspective cohort.Setting & participants1,444 adults undergoing cardiac surgery in the TRIBE-AKI (Translational Research Investigating Biomarker Endpoints for Acute Kidney Injury) cohort.ExposuresPlasma concentrations of 2 proangiogenic markers (vascular endothelial growth factor A [VEGF] and placental growth factor [PGF]) and 1 antiangiogenic marker (soluble VEGF receptor 1 [VEGFR1]), measured pre- and postoperatively within 6 hours after surgery.OutcomesAKI, long AKI duration (≥7 days), and 1-year all-cause mortality.Analytical approachMultivariable logistic regression.ResultsFollowing cardiac surgery, plasma VEGF concentrations decreased 2-fold, and PGF and VEGFR1 concentrations increased 1.5- and 8-fold, respectively. There were no meaningful associations of preoperative concentrations of angiogenic markers with outcomes of AKI and mortality. Higher postoperative VEGF and PGF concentrations were independently associated with lower odds of AKI (adjusted ORs of 0.89 [95% CI, 0.82-0.98] and 0.69 [95% CI, 0.55-0.87], respectively), long AKI duration (0.65 [95% CI, 0.49-0.87] and 0.48 [95% CI, 0.28-0.82], respectively), and mortality (0.74 [95% CI, 0.62-0.89] and 0.46 [95% CI, 0.31-0.68], respectively). In contrast, higher postoperative VEGFR1 concentrations were independently associated with higher odds of AKI (1.56; 95% CI, 1.31-1.87), long AKI duration (1.75; 95% CI, 1.09-2.82), and mortality (2.28; 95% CI, 1.61-3.22).LimitationsAngiogenesis markers were not measured after hospital discharge, so we were unable to determine long-term trajectories of angiogenesis marker levels during recovery and follow-up.ConclusionsHigher levels of postoperative proangiogenic markers, VEGF and PGF, were associated with lower AKI and mortality risk, whereas higher postoperative antiangiogenic VEGFR1 levels were associated with higher risk for AKI and mortality.
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- 2019
29. Higher Symptom Frequency and Severity After the Long Interdialytic Interval in Patients on Maintenance Intermittent Hemodialysis
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Chauhan, Kinsuk, Wen, Huei Hsun, Gupta, Neepa, Nadkarni, Girish, Coca, Steven, and Chan, Lili
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- 2022
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30. Patient-Specific Pharmacokinetics and Dasatinib Nephrotoxicity
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Adegbite, Benjamin O., Abramson, Matthew H., Gutgarts, Victoria, Musteata, Florin M., Chauhan, Kinsuk, Muwonge, Alecia N., Meliambro, Kristin A., Salvatore, Steven P., El Ghaity-Beckley, Sebastian, Kremyanskaya, Marina, Marcellino, Bridget, Mascarenhas, John O., Campbell, Kirk N., Chan, Lili, Coca, Steven G., Berman, Ellin M., Jaimes, Edgar A., and Azeloglu, Evren U.
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- 2023
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31. Association of Uremic Solutes With Cardiovascular Death in Diabetic Kidney Disease
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Massaro, Joseph, Clish, Clary, Denburg, Michelle, Furth, Susan, Warady, Bradley, Bonventre, Joseph, Waikar, Sushrut, McMahon, Gearoid, Sabbisetti, Venkata, Coresh, Josef, Grams, Morgan, Rebholz, Casey, Abraham, Alison, Tin, Adriene, Parikh, Chirag, Klein, Jon, Coca, Steven, Ferket, Bart S., Nadkarni, Girish N., Gossett, Daniel, Rovin, Brad, Levey, Andrew S., Inker, Lesley A., Foster, Meredith, Dubin, Ruth, Deo, Rajat, Anderson, Amanda, Mifflin, Theodore, Xie, Dawei, Shou, Haochang, Ballard, Shawn, Whitehead, Krista, Collins, Heather, Greenberg, Jason, Ganz, Peter, Sapa, Hima, Gutiérrez, Orlando M., Shlipak, Michael G., Katz, Ronit, Ix, Joachim H., Sarnak, Mark J., Cushman, Mary, Rhee, Eugene P., Kimmel, Paul L., Vasan, Ramachandran S., Schrauben, Sarah J., Feldman, Harold I., Seegmiller, Jesse C., Brunengraber, Henri, Hostetter, Thomas H., and Schelling, Jeffrey R.
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- 2022
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32. Plasma Biomarkers as Risk Factors for Incident CKD
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Sarnak, Mark J., Katz, Ronit, Ix, Joachim H., Kimmel, Paul L., Bonventre, Joseph V., Schelling, Jeffrey, Cushman, Mary, Vasan, Ramachandran S., Waikar, Sushrut S., Greenberg, Jason H., Parikh, Chirag R., Coca, Steven G., Sabbisetti, Venkata, Jogalekar, Manasi P., Rebholz, Casey, Zheng, Zihe, Gutierrez, Orlando M., and Shlipak, Michael G.
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- 2022
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33. Associations of Plasma Biomarkers of Inflammation, Fibrosis, and Kidney Tubular Injury With Progression of Diabetic Kidney Disease: A Cohort Study
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Gutiérrez, Orlando M., Shlipak, Michael G., Katz, Ronit, Waikar, Sushrut S., Greenberg, Jason H., Schrauben, Sarah J., Coca, Steven, Parikh, Chirag R., Vasan, Ramachandran S., Feldman, Harold I., Kimmel, Paul L., Cushman, Mary, Bonventre, Joseph V., Sarnak, Mark J., and Ix, Joachim H.
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- 2022
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34. Kidney Recovery and Death in Critically Ill Patients With COVID-19–Associated Acute Kidney Injury Treated With Dialysis: The STOP-COVID Cohort Study
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Gupta, Hsu, Faugno, Goyal, Raichoudhury, Tariq, Meyer, Sharma, Leaf, Kshirsagar, Walther, Carl P., Anumudu, Samaya J., Arunthamakun, Justin, Kopecky, Kathleen F., Milligan, Gregory P., McCullough, Peter A., Nguyen, Thuy-Duyen, Shaefi, Shahzad, Krajewski, Megan L., Shankar, Sidharth, Pannu, Ameeka, Valencia, Juan D., Bauer, Kenneth A., Waikar, Sushrut S., Kibbelaar, Zoe A., Athavale, Ambarish M., Hart, Peter, Upadhyay, Shristi, Vohra, Ishaan, Oyintayo, Ajiboye, Green, Adam, Rachoin, Jean-Sebastien, Schorr, Christa A., Shea, Lisa, Edmonston, Daniel L., Mosher, Christopher L., Shehata, Alexandre M., Cohen, Zaza, Allusson, Valerie, Bambrick-Santoyo, Gabriela, Bhatti, Noor ul aain, Mehta, Bijal, WilliamsSamantha K. Brenner, Aquino, Walters, Patricia, Go, Ronaldo C., Rose, Keith M., Hernán, Miguel A., Zhou, Amy M., Kim, Ethan C., Lisk, Rebecca, Chan, Lili, Mathews, Kusum S., Coca, Steven G., Altman, Deena R., Saha, Aparna, Soh, Howard, Wen, Huei Hsun, Bose, Sonali, Leven, Emily A., Wang, Jing G., Mosoyan, Gohar, Pattharanitima, Pattharawin, Gallagher, Emily J., Friedman, Allon N., Guirguis, John, Kapoor, Rajat, Meshberger, Christopher, Kelly, Katherine J., Parikh, Chirag R., Garibaldi, Brian T., Corona-Villalobos, Celia P., Wen, Yumeng, Menez, Steven, Malik, Rubab F., Cervantes, Carmen Elena, Gautam, Samir C., Mallappallil, Mary C., Ouyang, Jie, John, Sabu, Yap, Ernie, Melaku, Yohannes, Mohamed, Ibrahim, Bajracharya, Siddhartha, Puri, Isha, Thaxton, Mariah, Bhattacharya, Jyotsna, Wagner, John, Boudourakis, Leon, Nguyen, H. Bryant, Ahoubim, Afshin, Thomas, Leslie F., Sirganagari, Dheeraj Reddy, Guru, Pramod K., Kashani, Kianoush, Tehranian, Shahrzad, Zhou, Yan, Bergl, Paul A., Rodriguez, Jesus, Shah, Jatan A., Gupta, Mrigank S., Kumar, Princy N., Lazarous, Deepa G., Kassaye, Seble G., Melamed, Michal L., Johns. Ryan Mocerino, Tanya S., Prudhvi, Kalyan, Zhu, Denzel, Levy, Rebecca V., Azzi, Yorg, Fisher, Molly, Yunes, Milagros, Sedaliu, Kaltrina, Golestaneh, Ladan, Brogan, Maureen, Thakkar, Jyotsana, Kumar, Neelja, Ross, Michael J., Chang, Michael, Athreya, Akshay, Farag, Mohamed, Schenck, Edward J., Cho, Soo Jung, Plataki, Maria, Alvarez-Mulett, Sergio L., Gomez-Escobar, Luis G., Pan, Di, Lee, Stefi, Krishnan, Jamuna, Whalen, William, Charytan, David, Macina, Ashley, Srivastava, Anand, Leidner, Alexander S., Martinez, Carlos, Kruser, Jacqueline M., Wunderink, Richard G., Hodakowski, Alexander J., Velez, Juan Carlos Q., Price-Haywood, Eboni G., Matute-Trochez, Luis A., Hasty, Anna E., Mohamed, Muner M.B., Avasare, Rupali S., Zonies, David, Al-Samkari, Hanny, Leaf, Rebecca Karp, Rosovsky, Rachel, Sise, Meghan E., Newman, Erik T., Omar, Samah Abu, Pokharel, Kapil K., Sharma, Shreyak, Singh, Harkarandeep, Correa, Simon, Shaukat, Tanveer, Kamal, Omer, Wang, Wei, Lee, Meghan, Strohbehn, Ian A., Li, Jiahua, Mueller, Ariel L., Redfern, Roberta E., Cairl, Nicholas S., Naimy, Gabriel, Abu-Saif, Abeer, Hall, Danyell, Bickley, Laura, Rowan, Chris, Madhani-Lovely, Farah, Peev, Vasil, Reiser, Jochen, Byun, John J., Vissing, Andrew, Kapania, Esha M., Post, Zoe, Patel, Nilam P., Hermes, Joy-Marie, Sutherland, Anne K., Patrawalla, Amee, Finkel, Diana G., Danek, Barbara A., Arikapudi, Sowminya, Paer, Jeffrey M., Cangialosi, Peter, Liotta, Mark, Radbel, Jared, Puri, Sonika, Sunderram, Jag, Scharf, Matthew T., Ahmed, Ayesha, Berim, Ilya, Vatson, Jayanth S., Karp, George, Anand, Shuchi, Levitt, Joseph E., Garcia, Pablo, Boyle, Suzanne M., Song, Rui, Zhang, Jingjing, Woo, Sang Hoon, Deng, Xiaoying, Katz-Greenberg, Goni, Sharshir, Moh’d A., Rusnak, Vadym V., Bansal, Anip, Podoll, Amber S., Chonchol, Michel, Sharma, Sunita, Burnham, Ellen L., Rashidi, Arash, Hejal, Rana, Judd, Eric, Latta, Laura, Tolwani, Ashita, Albertson, Timothy E., Adams, Jason Y., Chang, Steven Y., Beutler, Rebecca M., Schulze, Carl E., Macedo, Etienne, RheeKa, Harin, thleen D. Liu, Jotwani, Vasantha K., Koyner, Jay L., Shah, Chintan V., Jaikaransingh, Vishal, Toth-Manikowski, Stephanie M., Joo, Min J., Lash, James P., Neyra, Javier A., Chaaban, Nourhan, Elias, Madona, Ahmad, Yahya, Dy, Rajany, Iardino, Alfredo, Au, Elizabeth H., Sosa, Marie Anne, Taldone, Sabrina, Contreras, Gabriel, De La Zerda, David, Gershengorn, Hayley B., Fornoni, Alessia, Hayek, Salim S., Blakely, Pennelope, Berlin, Hanna, Azam, Tariq U., Shadid, Husam, Pan, Michael, O’Hayer, Patrick, Meloche, Chelsea, Feroze, Rafey, Padalia, Kishan J., Leya, Jeff, Donnelly, John P., Admon, Andrew J., Flythe, Jennifer E., Tugman, Matthew J., Chang, Emily H., Brown, Brent R., Leonberg-Yoo, Amanda K., Spiardi, Ryan C., Miano, Todd A., Roche, Meaghan S., Vasquez, Charles R., Bansal, Amar D., Ernecoff, Natalie C., Kapoor, Sanjana, Verma, Siddharth, Chen, Huiwen, Kovesdy, Csaba P., Molnar, Miklos Z., Azhar, Ambreen, Hedayati, S. Susan, Nadamuni, Mridula V., Shastri, Shani, Willett, Duwayne L., Short, Samuel A.P., Renaghan, Amanda D., Enfield, Kyle B., Bhatraju, Pavan K., Malik, A. Bilal, Semler, Matthew W., Vijayan, Anitha, Joy, Christina Mariyam, Li, Tingting, Goldberg, Seth, Kao, Patricia F., Schumaker, Greg L., Christov, Marta, Griffiths, Jennifer, Gupta, Sanjeev, Kapoor, Aromma, Chugh, Savneek, Wilson, Perry, Arora, Tanima, Ugwuowo, Ugochukwu, Hsu, Caroline M., Gupta, Shruti, Tighiouart, Hocine, Goyal, Nitender, Faugno, Anthony J., Tariq, Asma, Raichoudhury, Ritesh, Sharma, Jill H., Meyer, Leah, Kshirsagar, Ravi K., Jose, Aju, Leaf, David E., and Weiner, Daniel E.
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- 2022
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35. Prognostic Significance of Urinary Biomarkers in Patients Hospitalized With COVID-19
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Ko, Albert, Iwasaki, Akiko, Farhadian, Shelli, Nelson, Allison, Casanovas-Massana, Arnau, White, Elizabeth B., Schulz, Wade, Coppi, Andreas, Young, Patrick, Nunez, Angela, Shepard, Denise, Matos, Irene, Strong, Yvette, Anastasio, Kelly, Brower, Kristina, Kuang, Maxine, Chiorazzi, Michael, Bermejo, Santos, Vijayakumar, Pavithra, Geng, Bertie, Fournier, John, Minasyan, Maksym, Muenker, M. Catherine, Moore, Adam J., Nadkarni, Girish, Menez, Steven, Moledina, Dennis G., Thiessen-Philbrook, Heather, Wilson, F. Perry, Obeid, Wassim, Simonov, Michael, Yamamoto, Yu, Corona-Villalobos, Celia P., Chang, Crystal, Garibaldi, Brian T., Clarke, William, Dela Cruz, Charles, Coca, Steven G., and Parikh, Chirag R.
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- 2022
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36. Joint Modeling of Clinical and Biomarker Data in Acute Kidney Injury Defines Unique Subphenotypes with Differing Outcomes
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Vasquez-Rios, George, Oh, Wonsuk, Lee, Samuel, Bhatraju, Pavan, Mansour, Sherry G., Moledina, Dennis G., Gulamali, Faris F., Siew, Edward D., Garg, Amit X., Sarder, Pinaki, Chinchilli, Vernon M., Kaufman, James S., Hsu, Chi-yuan, Liu, Kathleen D., Kimmel, Paul L., Go, Alan S., Wurfel, Mark M., Himmelfarb, Jonathan, Parikh, Chirag R., Coca, Steven G., and Nadkarni, Girish N.
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- 2023
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37. Effect of Intensive Blood Pressure Lowering on Kidney Tubule Injury: Findings From the ACCORD Trial Study Participants
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Nadkarni, Girish N, Chauhan, Kinsuk, Rao, Veena, Ix, Joachim H, Shlipak, Michael G, Parikh, Chirag R, and Coca, Steven G
- Subjects
Biomedical and Clinical Sciences ,Clinical Sciences ,Clinical Trials and Supportive Activities ,Kidney Disease ,Prevention ,Clinical Research ,Evaluation of treatments and therapeutic interventions ,6.1 Pharmaceuticals ,Cardiovascular ,Renal and urogenital ,Good Health and Well Being ,Aged ,Biomarkers ,Female ,Glomerular Filtration Rate ,Humans ,Hypertension ,Kidney Tubules ,Longitudinal Studies ,Male ,Middle Aged ,Renal Insufficiency ,Chronic ,CKD progression ,Chronic kidney disease ,blood pressure ,eGFR decline ,estimated glomerular filtration rate ,hemodynamics ,hypertension ,intensive BP control ,kidney tubule ,renal perfusion ,tubular injury ,urinary biomarkers ,urine ,Public Health and Health Services ,Urology & Nephrology ,Clinical sciences - Abstract
Rationale & objectiveRandom assignment to intensive blood pressure (BP) lowering (systolic BP
- Published
- 2019
38. Pre-exposure Prophylaxis With Tenofovir Disoproxil Fumarate/Emtricitabine and Kidney Tubular Dysfunction in HIV-Uninfected Individuals
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Jotwani, Vasantha, Scherzer, Rebecca, Glidden, David V, Mehrotra, Megha, Defechereux, Patricia, Liu, Albert, Gandhi, Monica, Bennett, Michael, Coca, Steven G, Parikh, Chirag R, Grant, Robert M, and Shlipak, Michael G
- Subjects
Public Health ,Biomedical and Clinical Sciences ,Clinical Sciences ,Health Sciences ,Sexually Transmitted Infections ,Clinical Research ,Prevention ,Infectious Diseases ,Kidney Disease ,HIV/AIDS ,Health Disparities ,Clinical Trials and Supportive Activities ,6.1 Pharmaceuticals ,Infection ,Renal and urogenital ,Adult ,Albuminuria ,Alpha-Globulins ,Anti-HIV Agents ,Biomarkers ,Cross-Sectional Studies ,Emtricitabine ,Female ,Glomerular Filtration Rate ,HIV ,HIV Infections ,Humans ,Kidney Diseases ,Kidney Function Tests ,Male ,Pre-Exposure Prophylaxis ,Proteinuria ,Tenofovir ,Transgender Persons ,Urine ,Young Adult ,HIV prevention ,pre-exposure prophylaxis ,nephrotoxicity ,tubular dysfunction ,kidney injury ,urine biomarkers ,alpha-1 microglobulin ,Public Health and Health Services ,Virology ,Clinical sciences ,Epidemiology ,Public health - Abstract
BackgroundPre-exposure prophylaxis (PrEP) with tenofovir disoproxil fumarate (TDF) and emtricitabine (FTC) is becoming increasingly adopted for HIV prevention. Tenofovir can cause proximal tubular damage and chronic kidney disease in HIV-infected persons, but little is known regarding its nephrotoxic potential among HIV-uninfected persons. In this study, we evaluated the effects of PrEP on urine levels of the following: α1-microglobulin (α1m), a marker of impaired tubular reabsorption; albuminuria, a measure of glomerular injury; and total proteinuria.SettingThe Iniciativa Profilaxis Pre-Exposicion (iPrEx) study randomized HIV-seronegative men and transgender women who have sex with men to oral TDF/FTC or placebo. The iPrEx open-label extension (iPrEx-OLE) study enrolled former PrEP trial participants to receive open-label TDF/FTC.MethodsA cross-sectional analysis compared urine biomarker levels by study arm in iPrEx (N = 100 treatment arm, N = 100 placebo arm). Then, urine biomarker levels were compared before and after PrEP initiation in 109 participants of iPrEx-OLE.ResultsIn iPrEx, there were no significant differences in urine α1m, albuminuria, or proteinuria by treatment arm. In iPrEx-OLE, after 24 weeks on PrEP, urine α1m and proteinuria increased by 21% [95% confidence interval (CI): 10 to 33] and 18% (95% CI: 8 to 28), respectively. The prevalence of detectable α1m increased from 44% to 65% (P < 0.001) and estimated glomerular filtration rate declined by 4 mL/min/1.73 m (P < 0.001). There was no significant change in albuminuria (6%; 95% CI: -7% to 20%).ConclusionPrEP with TDF/FTC was associated with a statistically significant rise in urine α1m and proteinuria after 6 months, suggesting that PrEP may result in subclinical tubule dysfunction.
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- 2018
39. Initiation of the SGLT2 inhibitor canagliflozin to prevent kidney and heart failure outcomes guided by HbA1c, albuminuria, and predicted risk of kidney failure
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Tye, Sok Cin, Jongs, Niels, Coca, Steven G., Sundström, Johan, Arnott, Clare, Neal, Bruce, Perkovic, Vlado, Mahaffey, Kenneth W., Vart, Priya, and Heerspink, Hiddo. J. L.
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- 2022
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40. Pre-operative kidney biomarkers and risks for death, cardiovascular and chronic kidney disease events after cardiac surgery: the TRIBE-AKI study
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Vasquez-Rios, George, Moledina, Dennis G., Jia, Yaqi, McArthur, Eric, Mansour, Sherry G., Thiessen-Philbrook, Heather, Shlipak, Michael G., Koyner, Jay L., Garg, Amit X., Parikh, Chirag R., and Coca, Steven G.
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- 2022
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41. Corrigendum to “Are biomarkers in acute kidney injury ready for prime time? The time is right for a second look.” Kidney Int. 2024;105:675–678
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Parikh, Chirag R., primary and Coca, Steven G., additional
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- 2024
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42. Identification of Distinct Clinical Subphenotypes in Critically Ill Patients With COVID-19
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Walther, Carl P., Anumudu, Samaya J., Arunthamakun, Justin, Kopecky, Kathleen F., Milligan, Gregory P., McCullough, Peter A., Nguyen, Thuy-Duyen, Shaefi, Shahzad, Krajewski, Megan L., Shankar, Sidharth, Pannu, Ameeka, Valencia, Juan D., Waikar, Sushrut S., Kibbelaar, Zoe A., Athavale, Ambarish M., Hart, Peter, Upadhyay, Shristi, Vohra, Ishaan, Oyintayo, Ajiboye, Green, Adam, Rachoin, Jean-Sebastien, Schorr, Christa A., Shea, Lisa, Edmonston, Daniel L., Mosher, Christopher L., Shehata, Alexandre M., Cohen, Zaza, Allusson, Valerie, Bambrick-Santoyo, Gabriela, Bhatti, Noor ul aain, Mehta, Bijal, Williams, Aquino, Brenner, Samantha K., Walters, Patricia, Go, Ronaldo C., Rose, Keith M., Chan, Lili, Mathews, Kusum S., Coca, Steven G., Altman, Deena R., Saha, Aparna, Soh, Howard, Wen, Huei Hsun, Bose, Sonali, Leven, Emily A., Wang, Jing G., Mosoyan, Gohar, Nadkarni, Girish N., Pattharanitima, Pattharawin, Gallagher, Emily J., Friedman, Allon N., Guirguis, John, Kapoor, Rajat, Meshberger, Christopher, Kelly, Katherine J., Parikh, Chirag R., Garibaldi, Brian T., Corona-Villalobos, Celia P., Wen, Yumeng, Menez, Steven, Malik, Rubab F., Cervantes, Carmen Elena, Gautam, Samir C., Mallappallil, Mary C., Ouyang, Jie, John, Sabu, Yap, Ernie, Melaku, Yohannes, Mohamed, Ibrahim, Bajracharya, Siddhartha, Puri, Isha, Thaxton, Mariah, Bhattacharya, Jyotsna, Wagner, John, Boudourakis, Leon, Nguyen, H. Bryant, Ahoubim, Afshin, Kashani, Kianoush, Tehranian, Shahrzad, Thomas, Leslie F., Sirganagari, Dheeraj Reddy, Guru, Pramod K., Zhou, Yan, Bergl, Paul A., Rodriguez, Jesus, Shah, Jatan A., Gupta, Mrigank S., Kumar, Princy N., Lazarous, Deepa G., Kassaye, Seble G., Melamed, Michal L., Johns, Tanya S., Mocerino, Ryan, Prudhvi, Kalyan, Zhu, Denzel, Levy, Rebecca V., Azzi, Yorg, Fisher, Molly, Yunes, Milagros, Sedaliu, Kaltrina, Golestaneh, Ladan, Brogan, Maureen, Kumar, Neelja, Chang, Michael, Thakkar, Jyotsana, Raichoudhury, Ritesh, Athreya, Akshay, Farag, Mohamed, Schenck, Edward J., Cho, Soo Jung, Plataki, Maria, Alvarez-Mulett, Sergio L., Gomez-Escobar, Luis G., Pan, Di, Lee, Stefi, Krishnan, Jamuna, Whalen, William, Charytan, David, Macina, Ashley, Chaudhry, Sobaata, Wu, Benjamin, Modersitzki, Frank, Srivastava, Anand, Leidner, Alexander S., Martinez, Carlos, Kruser, Jacqueline M., Wunderink, Richard G., Hodakowski, Alexander J., Velez, Juan Carlos Q., Price-Haywood, Eboni G., Matute-Trochez, Luis A., Hasty, Anna E., Mohamed, Muner M.B., Avasare, Rupali S., Zonies, David, Leaf, David E., Gupta, Shruti, Sise, Meghan E., Newman, Erik T., Omar, Samah Abu, Pokharel, Kapil K., Sharma, Shreyak, Singh, Harkarandeep, Correa, Simon, Shaukat, Tanveer, Kamal, Omer, Wang, Wei, Yang, Heather, Boateng, Jeffery O., Lee, Meghan, Strohbehn, Ian A., Li, Jiahua, Mueller, Ariel L., Redfern, Roberta E., Cairl, Nicholas S., Naimy, Gabriel, Abu-Saif, Abeer, Hall, Danyell, Bickley, Laura, Rowan, Chris, Madhani-Lovely, Farah, Peev, Vasil, Reiser, Jochen, Byun, John J., Vissing, Andrew, Kapania, Esha M., Post, Zoe, Patel, Nilam P., Hermes, Joy-Marie, Sutherland, Anne K., Patrawalla, Amee, Finkel, Diana G., Danek, Barbara A., Arikapudi, Sowminya, Paer, Jeffrey M., Cangialosi, Peter, Liotta, Mark, Radbel, Jared, Puri, Sonika, Sunderram, Jag, Scharf, Matthew T., Ahmed, Ayesha, Berim, Ilya, Vatson, Jayanth S., Anand, Shuchi, Levitt, Joseph E., Garcia, Pablo, Boyle, Suzanne M., Song, Rui, Zhang, Jingjing, Woo, Sang Hoon, Deng, Xiaoying, Katz-Greenberg, Goni, Senter, Katharine, Sharshir, Moh’d A., Rusnak, Vadym V., Ali, Muhammad Imran, Bansal, Anip, Podoll, Amber S., Chonchol, Michel, Sharma, Sunita, Burnham, Ellen L., Rashidi, Arash, Hejal, Rana, Judd, Eric, Latta, Laura, Tolwani, Ashita, Albertson, Timothy E., Adams, Jason Y., Chang, Steven Y., Beutler, Rebecca M., Schulze, Carl E., Macedo, Etienne, Rhee, Harin, Liu, Kathleen D., Jotwani, Vasantha K., Koyner, Jay L., Kunczt, Alissa, Shah, Chintan V., Jaikaransingh, Vishal, Toth-Manikowski, Stephanie M., Joo, Min J., Lash, James P., Neyra, Javier A., Chaaban, Nourhan, Ahmad, Yahya, Elias, Madona, Dy, Rajany, Iardino, Alfredo, Au, Elizabeth H., Sharma, Jill H., Sosa, Marie Anne, Taldone, Sabrina, Contreras, Gabriel, De La Zerda, David, Gershengorn, Hayley B., Hayek, Salim S., Blakely, Pennelope, Berlin, Hanna, Azam, Tariq U., Shadid, Husam, Pan, Michael, Hayer, Patrick O’, Meloche, Chelsea, Feroze, Rafey, Kaakati, Rayan, Perry, Danny, Bitar, Abbas, Anderson, Elizabeth, Padalia, Kishan J., Donnelly, John P., Admon, Andrew J., Flythe, Jennifer E., Tugman, Matthew J., Chang, Emily H., Brown, Brent R., Leonberg-Yoo, Amanda K., Spiardi, Ryan C., Miano, Todd A., Roche, Meaghan S., Vasquez, Charles R., Bansal, Amar D., Ernecoff, Natalie C., Kapoor, Sanjana, Verma, Siddharth, Chen, Huiwen, Kovesdy, Csaba P., Molnar, Miklos Z., Azhar, Ambreen, Hedayati, S. Susan, Nadamuni, Mridula V., Shastri, Shani, Willett, Duwayne L., Short, Samuel A.P., Renaghan, Amanda D., Enfield, Kyle B., Bhatraju, Pavan K., Malik, A. Bilal, Semler, Matthew W., Vijayan, Anitha, Joy, Christina Mariyam, Li, Tingting, Goldberg, Seth, Kao, Patricia F., Schumaker, Greg L., Goyal, Nitender, Faugno, Anthony J., Hsu, Caroline M., Tariq, Asma, Meyer, Leah, Kshirsagar, Ravi K., Weiner, Daniel E., Jose, Aju, Christov, Marta, Griffiths, Jennifer, Gupta, Sanjeev, Kapoor, Aromma, Chugh, Savneek, Wilson, Perry, Arora, Tanima, Ugwuowo, Ugochukwu, Roche, Meaghan, Hsu, Jesse, Yang, Wei, Holena, Daniel N., Reilly, John P., Schrauben, Sarah J., and Shashaty, Michael G.S.
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- 2021
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43. National Trends in Emergency Room Visits of Dialysis Patients for Adverse Drug Reactions
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Chan, Lili, Saha, Aparna, Poojary, Priti, Chauhan, Kinsuk, Naik, Nidhi, Coca, Steven, Garimella, Pranav S, and Nadkarni, Girish N
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Biomedical and Clinical Sciences ,Clinical Sciences ,Cardiovascular ,Health Services ,Clinical Research ,Patient Safety ,Emergency Care ,Kidney Disease ,Renal and urogenital ,Good Health and Well Being ,Drug-Related Side Effects and Adverse Reactions ,Emergency Service ,Hospital ,Facilities and Services Utilization ,Female ,Hospitalization ,Humans ,Male ,Middle Aged ,Renal Dialysis ,United States ,Adverse drug events ,Dialysis ,Emergency department ,Urology & Nephrology ,Clinical sciences - Abstract
BACKGROUND:Various medications are cleared by the kidneys, therefore patients with impaired renal function, especially dialysis patients are at risk for adverse drug events (ADEs). There are limited studies on ADEs in maintenance dialysis patients. METHODS:We utilized a nationally representative database, the Nationwide Emergency Department Sample, from 2008 to 2013, to compare emergency department (ED) visits for dialysis and propensity matched non-dialysis patients. Log binomial regression was used to calculate relative risk of hospital admission and logistic regression to calculate ORs for in-hospital mortality while adjusting for patient and hospital characteristics. RESULTS:While ED visits for ADEs decreased in both groups, they were over 10-fold higher in dialysis patients than non-dialysis patients (65.8-88.5 per 1,000 patients vs. 4.6-5.4 per 1,000 patients respectively, p < 0.001). The top medication category associated with ED visits for ADEs in dialysis patients is agents primarily affecting blood constituents, which has increased. After propensity matching, patient admission was higher in dialysis patients than non-dialysis patients, (88 vs. 76%, p < 0.001). Dialysis was associated with a 3% increase in risk of admission and 3 times the odds of in-hospital mortality (adjusted OR 3, 95% CI 2.7-2.3.3). CONCLUSIONS:ED visits for ADEs are substantially higher in dialysis patients than non-dialysis patients. In dialysis patients, ADEs associated with agents primarily affecting blood constituents are on the rise. ED visits for ADEs in dialysis patients have higher inpatient admissions and in-hospital mortality. Further studies are needed to identify and implement measures aimed at reducing ADEs in dialysis patients.
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- 2018
44. Group analysis identifies differentially elevated biomarkers with distinct outcomes for advanced acute kidney injury in cardiac surgery
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Lin, Haiqun, Scherzer, Rebecca, Philbrook, Heather Thiessen, Coca, Steven G, Wilson, Francis Perry, Garg, Amit X, Shlipak, Michael G, and Parikh, Chirag R
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Biomedical and Clinical Sciences ,Clinical Sciences ,Prevention ,Clinical Research ,Kidney Disease ,Patient Safety ,Cardiovascular ,Renal and urogenital ,Good Health and Well Being ,Acute Kidney Injury ,Aged ,Aged ,80 and over ,Biomarkers ,Cardiac Surgical Procedures ,Female ,Humans ,Male ,Middle Aged ,Postoperative Complications ,advanced AKI ,biomarkers of AKI ,group-based analysis ,Medicinal and Biomolecular Chemistry ,Medical Biochemistry and Metabolomics ,Oncology & Carcinogenesis ,Clinical sciences ,Medical biochemistry and metabolomics ,Medicinal and biomolecular chemistry - Abstract
AIM:To investigate early postoperative biomarkers for risk discrimination of advanced acute kidney injury (AKI). MATERIALS & METHODS:Postoperative plasma biomarkers including NGAL, h-FABP, CK-MB, hsTNT, NT-proBNP, IL-6, IL-10 and VEGF were analyzed using group-based method among 426 patients with AKI after cardiac surgery. RESULTS:Six patient groups with distinct biomarker patterns were identified. Individual biomarker displayed significant difference across the groups. The groups showed better discrimination for advanced AKI than any single biomarker either with or without adjusting for clinical variables. Average concentration of a single biomarker within each group, mortality and risk of a secondary outcome all demonstrated an approximately U-shaped relationship with proportion of advanced AKI within each group. CONCLUSION:The group-based analysis revealed that the order of the patient groups with an increasing likelihood of advanced AKI had a nonlinear relationship with average concentration of an individual biomarker, mortality and risk of other outcomes.
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- 2017
45. Effects of the SGLT2 inhibitor canagliflozin on plasma biomarkers TNFR-1, TNFR-2 and KIM-1 in the CANVAS trial
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Sen, Taha, Li, Jingwei, Neuen, Brendon L., Neal, Bruce, Arnott, Clare, Parikh, Chirag R., Coca, Steven G., Perkovic, Vlado, Mahaffey, Kenneth W., Yavin, Yshai, Rosenthal, Norman, Hansen, Michael K., and Heerspink, Hiddo J. L.
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- 2021
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46. Results from the TRIBE-AKI Study found associations between post-operative blood biomarkers and risk of chronic kidney disease after cardiac surgery
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Menez, Steven, Moledina, Dennis G., Garg, Amit X., Thiessen-Philbrook, Heather, McArthur, Eric, Jia, Yaqi, Liu, Caroline, Obeid, Wassim, Mansour, Sherry G., Koyner, Jay L., Shlipak, Michael G., Wilson, Francis P., Coca, Steven G., and Parikh, Chirag R.
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- 2021
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47. Characteristics and Outcomes of Individuals With Pre-existing Kidney Disease and COVID-19 Admitted to Intensive Care Units in the United States
- Author
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Walther, Carl P., Anumudu, Samaya J., Arunthamakun, Justin, Kopecky, Kathleen F., Milligan, Gregory P., McCullough, Peter A., Nguyen, Thuy-Duyen, Shaefi, Shahzad, Krajewski, Megan L., Shankar, Sidharth, Pannu, Ameeka, Valencia, Juan D., Waikar, Sushrut S., Kibbelaar, Zoe A., Athavale, Ambarish M., Hart, Peter, Upadhyay, Shristi, Vohra, Ishaan, Green, Adam, Rachoin, Jean-Sebastien, Schorr, Christa A., Shea, Lisa, Edmonston, Daniel L., Mosher, Christopher L., Shehata, Alexandre M., Cohen, Zaza, Allusson, Valerie, Bambrick-Santoyo, Gabriela, Bhatti, Noor ul aain, Mehta, Bijal, Williams, Aquino, Brenner, Samantha K., Walters, Patricia, Go, Ronaldo C., Rose, Keith M., Chan, Lili, Mathews, Kusum S., Coca, Steven G., Altman, Deena R., Saha, Aparna, Soh, Howard, Wen, Huei Hsun, Bose, Sonali, Leven, Emily A., Wang, Jing G., Mosoyan, Gohar, Nadkarni, Girish N., Pattharanitima, Pattharawin, Gallagher, Emily J., Friedman, Allon N., Guirguis, John, Kapoor, Rajat, Meshberger, Christopher, Kelly, Katherine J., Parikh, Chirag R., Garibaldi, Brian T., Corona-Villalobos, Celia P., Wen, Yumeng, Menez, Steven, Malik, Rubab F., Cervantes, Carmen Elena, Gautam, Samir C., Mallappallil, Mary C., Ouyang, Jie, John, Sabu, Yap, Ernie, Melaku, Yohannes, Mohamed, Ibrahim, Bajracharya, Siddhartha, Puri, Isha, Thaxton, Mariah, Bhattacharya, Jyotsna, Wagner, John, Boudourakis, Leon, Nguyen, H. Bryant, Ahoubim, Afshin, Kashani, Kianoush, Tehranian, Shahrzad, Thomas, Leslie F., Sirganagari, Dheeraj Reddy, Guru, Pramod K., Zhou, Yan, Bergl, Paul A., Rodriguez, Jesus, Shah, Jatan A., Gupta, Mrigank S., Kumar, Princy N., Lazarous, Deepa G., Kassaye, Seble G., Melamed, Michal L., Johns, Tanya S., Mocerino, Ryan, Prudhvi, Kalyan, Zhu, Denzel, Levy, Rebecca V., Azzi, Yorg, Fisher, Molly, Yunes, Milagros, Sedaliu, Kaltrina, Golestaneh, Ladan, Brogan, Maureen, Kumar, Neelja, Chang, Michael, Thakkar, Jyotsana, Raichoudhury, Ritesh, Athreya, Akshay, Farag, Mohamed, Schenck, Edward J., Cho, Soo Jung, Plataki, Maria, Alvarez-Mulett, Sergio L., Gomez-Escobar, Luis G., Pan, Di, Lee, Stefi, Krishnan, Jamuna, Whalen, William, Charytan, David, Macina, Ashley, Chaudhry, Sobaata, Wu, Benjamin, Modersitzki, Frank, Srivastava, Anand, Leidner, Alexander S., Martinez, Carlos, Kruser, Jacqueline M., Wunderink, Richard G., Hodakowski, Alexander J., Velez, Juan Carlos Q., Price-Haywood, Eboni G., Matute-Trochez, Luis A., Hasty, Anna E., Mohamed, Muner M.B., Avasare, Rupali S., Zonies, David, Leaf, David E., Gupta, Shruti, Sise, Meghan E., Newman, Erik T., Abu Omar, Samah, Pokharel, Kapil K., Sharma, Shreyak, Singh, Harkarandeep, Correa, Simon, Shaukat, Tanveer, Kamal, Omer, Wang, Wei, Yang, Heather, Boateng, Jeffery O., Lee, Meghan, Strohbehn, Ian A., Li, Jiahua, Mueller, Ariel L., Redfern, Roberta, Cairl, Nicholas S., Naimy, Gabriel, Abu-Saif, Abeer, Hall, Danyell, Bickley, Laura, Rowan, Chris, Madhani-Lovely, Farah, Peev, Vasil, Reiser, Jochen, Byun, John J., Vissing, Andrew, Kapania, Esha M., Post, Zoe, Patel, Nilam P., Hermes, Joy-Marie, Sutherland, Anne K., Patrawalla, Amee, Finkel, Diana G., Danek, Barbara A., Arikapudi, Sowminya, Paer, Jeffrey M., Cangialosi, Peter, Liotta, Mark, Radbel, Jared, Puri, Sonika, Sunderram, Jag, Scharf, Matthew T., Ahmed, Ayesha, Berim, Ilya, Vatson, Jayanth S., Anand, Shuchi, Levitt, Joseph E., Garcia, Pablo, Boyle, Suzanne M., Song, Rui, Zhang, Jingjing, Woo, Sang Hoon, Deng, Xiaoying, Katz-Greenberg, Goni, Senter, Katharine, Sharshir, Moh’d A., Rusnak, Vadym V., Ali, Muhammad Imran, Bansal, Anip, Podoll, Amber S., Chonchol, Michel, Sharma, Sunita, Burnham, Ellen L., Rashidi, Arash, Hejal, Rana, Judd, Eric, Latta, Laura, Tolwani, Ashita, Albertson, Timothy E., Adams, Jason Y., Reagan, Ronald, Chang, Steven Y., Beutler, Rebecca M., Monica, Santa, Schulze, Carl E., Macedo, Etienne, Rhee, Harin, Liu, Kathleen D., Jotwani, Vasantha K., Koyner, Jay L., Kunczt, Alissa, Shah, Chintan V., Jaikaransingh, Vishal, Toth-Manikowski, Stephanie M., Joo, Min J., Lash, James P., Neyra, Javier A., Chaaban, Nourhan, Dy, Rajany, Iardino, Alfredo, Au, Elizabeth H., Sharma, Jill H., Sosa, Marie Anne, Taldone, Sabrina, Contreras, Gabriel, De La Zerda, David, Gershengorn, Hayley B., Hayek, Salim S., Blakely, Pennelope, Berlin, Hanna, Azam, Tariq U., Shadid, Husam, Pan, Michael, Hayer, Patrick O’, Meloche, Chelsea, Feroze, Rafey, Kaakati, Rayan, Perry, Danny, Bitar, Abbas, Anderson, Elizabeth, Padalia, Kishan J., Donnelly, John P., Admon, Andrew J., Flythe, Jennifer E., Tugman, Matthew J., Chang, Emily H., Brown, Brent R., Leonberg-Yoo, Amanda K., Spiardi, Ryan C., Miano, Todd A., Roche, Meaghan S., Vasquez, Charles R., Bansal, Amar D., Ernecoff, Natalie C., Kapoor, Sanjana, Verma, Siddharth, Chen, Huiwen, Kovesdy, Csaba P., Molnar, Miklos Z., Azhar, Ambreen, Hedayati, S. Susan, Nadamuni, Mridula V., Shastri, Shani, Willett, Duwayne L., Short, Samuel A.P., Renaghan, Amanda D., Enfield, Kyle B., Bhatraju, Pavan K., Malik, A. Bilal, Semler, Matthew W., Vijayan, Anitha, Mariyam Joy, Christina, Li, Tingting, Goldberg, Seth, Kao, Patricia F., Schumaker, Greg L., Goyal, Nitender, Faugno, Anthony J., Hsu, Caroline M., Tariq, Asma, Meyer, Leah, Kshirsagar, Ravi K., Weiner, Daniel E., Jose, Aju, Christov, Marta, Griffiths, Jennifer, Gupta, Sanjeev, Kapoor, Aromma, Wilson, Perry, Arora, Tanima, Ugwuowo, Ugochukwu, Assimon, Magdalene M., Shah, Jatan, Renaghan, Amanda DeMauro, Wilson, F. Perry, and Edmonston, Daniel
- Published
- 2021
- Full Text
- View/download PDF
48. Urine Fatty Acids as a Biomarker for Diabetic Kidney Disease Progression: PUB111
- Author
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Sapa, Hima, Murra, Ali, Ganocy, Stephen J., Chauhan, Kinsuk, Coca, Steven G., and Schelling, Jeffrey R.
- Published
- 2022
- Full Text
- View/download PDF
49. Plasma and Urine Biomarkers for CKD Outcomes: A Systematic Review and Meta-Analysis: PUB112
- Author
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Liu, Caroline, Debnath, Neha, Mosoyan, Gohar, Chauhan, Kinsuk, Vasquez-Rios, George, Soudant, Celine, Menez, Steven, Parikh, Chirag R., and Coca, Steven G.
- Published
- 2022
- Full Text
- View/download PDF
50. Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease
- Author
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Chan, Lili, Nadkarni, Girish N., Fleming, Fergus, McCullough, James R., Connolly, Patricia, Mosoyan, Gohar, El Salem, Fadi, Kattan, Michael W., Vassalotti, Joseph A., Murphy, Barbara, Donovan, Michael J., Coca, Steven G., and Damrauer, Scott M.
- Published
- 2021
- Full Text
- View/download PDF
Catalog
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