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| ID | Type | Description | Link |
|---|---|---|---|
| U2CDK114886 | U.S. NIH Grant/Contract | View source | |
| UH3DK114861 | U.S. NIH Grant/Contract | View source | |
| UH3DK114866 | U.S. NIH Grant/Contract | View source | |
| UH3DK114870 | U.S. NIH Grant/Contract | View source | |
| UH3DK114908 | U.S. NIH Grant/Contract | View source | |
| UH3DK114915 | U.S. NIH Grant/Contract | View source | |
| UH3DK114926 | U.S. NIH Grant/Contract | View source | |
| UH3DK114907 | U.S. NIH Grant/Contract | View source | |
| UH3DK114920 | U.S. NIH Grant/Contract | View source | |
| UH3DK114923 | U.S. NIH Grant/Contract | View source | |
| UH3DK114933 | U.S. NIH Grant/Contract | View source | |
| UH3DK114937 | U.S. NIH Grant/Contract | View source | |
| U01DK144994 | U.S. NIH Grant/Contract | View source | |
| U01DK144965 | U.S. NIH Grant/Contract | View source | |
| U01DK133095 | U.S. NIH Grant/Contract | View source | |
| U01DK133081 | U.S. NIH Grant/Contract | View source | |
| U01DK133097 | U.S. NIH Grant/Contract | View source | |
| U01DK133093 | U.S. NIH Grant/Contract | View source | |
| SITE00000750 | Other Identifier | University of Washington |
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| Name | Class |
|---|---|
| National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) | NIH |
| University of Washington | OTHER |
| University of Michigan | OTHER |
| Brigham and Women's Hospital |
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Acute kidney injury (AKI) and chronic kidney disease (CKD) impose a significant global health burden. Yet, no effective therapies currently exist for AKI, and only a few are available for CKD.
Despite significant effort from industry and academia, development of pharmacologic therapies for AKI and CKD has been hampered by:
Non-predictive animal models The inability to identify and prioritize human targets The limited availability of human kidney biopsy tissue A poor understanding of AKI and CKD heterogeneity Historically, AKI and CKD have been described as single, uniform diseases. However, growing consensus suggests that different disease pathways lead to different subgroups of AKI and CKD (AKIs and CKDs).
Access to human kidney biopsy tissue is a critical first step to define disease heterogeneity and determine the precise molecular pathways that will facilitate identification of specific drug targets and ultimately enable individualized care for people with AKI and CKD.
A number of research centers across the United States are collaborating to bring state-of-the-art technologies together to:
The KPMP is made up of three distinct, but highly interactive, activity groups:
The Kidney Precision Medicine Project (KPMP) is a prospective cohort study, whose goal is to use deep molecular phenotypes of kidney biopsies, along with longitudinally collected clinical phenotypic data, in order to develop new disease ontologies, classification systems, and treatments for acute kidney injury (AKI) and chronic kidney disease (CKD). Since its inception, the KPMP has sought out and included substantive patient-representative feedback regarding disease experience, lack of innovation in new kidney disease therapies and patient tolerance for risk levels in balance with potential benefits both to the individual and society.
The KPMP Has publicly and operationally committed itself to always put participants and their best interests first and this foundational principle informs and undergirds every facet of the study. Both AKI and CKD are conditions that impose a significant global health burden. Yet, no effective therapies currently exist for AKI, and only a few are available for CKD. The network will utilize state-of-the-art methods to perform molecular interrogation of the tissue and to link the molecular data to kidney structure and clinical information in the form of a kidney tissue atlas.
Molecular and imaging data derived from kidney tissue will be integrated with clinico-pathologic and genetic information, as well as other data derived from analyses of fluid biospecimens, including peripheral blood, urine, and stool. Using advanced analytics to integrate the data, KPMP will aim to define kidney disease subgroups in molecular terms by identifying critical cells, pathways and targets for novel therapies.
Patients with AKI or CKD will be recruited from clinical care encounters (e.g., clinic visits for CKD patients, hospitalization or emergency room visits for AKI patients) and from electronic resources (e.g., existing registries, electronic health records). All study procedures are designed to optimize participant safety and will be ethically conducted, ensuring subjects fully understand the scope of the study and any possible risks.
For each participant, kidney tissue will be obtained for molecular phenotyping and clinical diagnosis. The diagnostic interpretation will be returned to the participant's primary caregiver to inform clinical care, but no treatment interventions will be prescribed by the KPMP. In addition to kidney biopsy, the study will involve collection of baseline (time of biopsy) and longitudinal biospecimens (including urine, plasma, serum, DNA and stool) and demographic, clinical, and laboratory data. Participants will be followed through scheduled in-person and remote (telephone) study visits, as well as through periodic review of electronic health records.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Acute Kidney Injury Cohort | The focus will be on acute intrinsic non-glomerular disease, primarily on acute tubular necrosis (ATN). |
| |
| Chronic Kidney Diseases Cohort | High priority populations include CKD in the setting of diabetes (diabetic kidney disease, DKD) and hypertension-associated CKD (H-CKD). |
| |
| Type 1 Diabetes (T1D) | Clinical diagnosis of Type 1 diabetes without evidence of other diabetes types (monogenic, secondary to pancreas disease, etc.) and has or is at risk of CKD. |
| |
| Diabetes Mellitus-Resistant (DM-R) | Diabetes Mellitus-Resistant: A special population of people with long-standing type 1 diabetes (more than 25 years) who remain free of clinically-evident DKD will also be included. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Kidney Biopsy | Procedure | A kidney biopsy is a procedure that involves taking a small piece of kidney tissue for examination with a microscope. A licensed health care provider will perform a kidney biopsy. |
| Measure | Description | Time Frame |
|---|---|---|
| Biopsy-related outcomes | Biopsy-related complications will be collected by KPMP study staff using standardized case report forms. Clinical utility of the biopsy results will be assessed using standardized surveys of clinical providers, and participant-reported outcomes will be assessed using standardized questionnaires. Biopsy-related outcomes data will be collected around the time of the biopsy and within the six months following procurement of the kidney biopsy. | Immediately after the procedure for up to 6 months |
| Kidney disease progression outcomes | Longitudinal change in estimated glomerular filtration rate (eGFR):
| Through study completion (up to 10 years, depending on enrollment date of participant) |
| Kidney disease progression outcomes | Longitudinal change in urine albumin excretion defined by the following: -Slope of change in urine albumin-creatinine ratio | Through study completion (up to 10 years, depending on enrollment date of participant) |
| Kidney disease progression outcomes | Longitudinal change in urine albumin excretion defined by the following: -Change of Kidney Disease Improving Global Outcomes (KDIGO) albuminuria stage | Through study completion (up to 10 years, depending on enrollment date of participant) |
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| Measure | Description | Time Frame |
|---|---|---|
| Number of Participants with Additional Outcome Measures |
|
Chronic Kidney Disease Subjects Inclusion Criteria Diabetic kidney disease (DKD)
Diagnosis of diabetes mellitus (type 1 or 2) established by at least one of the following criteria:
o Hemoglobin A1C greater than or equal to 6.5%, confirmed with a repeat test within the past year
o Fasting blood sugar greater than or equal to 126 mg/dL, confirmed with a repeat test within the past year
Evidence of persistent kidney damage, manifest as any of the following present on at least two clinic assessments prior to enrollment and at least 3 months apart and excluding people with acute medical illnesses and changing kidney function:
Estimated glomerular filtration rate 30-59 mL/min/1.73m2 or
Estimated glomerular filtration rate greater than or equal to 30 mL/min/1.73m2 with urine albumin excretion greater than or equal to 30 mg/g creatinine (or mg/day) or
Estimated glomerular filtration rate greater than or equal to 30 mL/min/1.73m2 with urine protein excretion greater than or equal to 150 mg/g creatinine (or mg/day)
Hypertension-associated Chronic Kidney Disease (H-CKD)
Diagnosis of hypertension (HTN) established by at least one of the following criteria:
Evidence of persistent kidney damage, manifested as any of the following present on at least two assessments at least 3 months apart and excluding people with acute medical illnesses and changing kidney function: Estimated glomerular filtration rate 30-59 mL/min/1.73m2 on two assessments at least 3 months apart with albuminuria less than or equal to 2000 mg/g creatinine (or mg/day), or proteinuria less than or equal to 3000 mg/g creatinine (or mg/day), or ≤1+ proteinuria on urinalysis, or
Most recent eGFR must be within the past year and be ≥30 mL/min/1.73m2
Acute Kidney Injury Inclusion Criteria Baseline estimated glomerular filtration rate greater than 45 mL/min/1.73m2. Baseline defined by the median of the last three outpatient serum creatinine measurements from day 7 to 365 prior to enrollment.
AND ONE of the following criteria must be met:
Drop in urine output (<500 ml/24 hours)
Any rise in serum creatinine ≥0.3 mg/dl over the baseline serum creatinine
A rise in serum creatinine >0.1 mg/dl in a patient with high risk of AKI and at least one of the following:
Positive kidney injury urine biomarker, as defined by any of the following:
â–ª NGAL level greater than or equal to 150 ng/mL by ELISA or clinical analyzer
Urine microscopy suggestive of acute tubular necrosis defined as a urine microscopy score of greater than or equal to 2. [25] â–ª greater than or equal to 1 Renal Tubular Epithelial cells (RTE) per high powered field (HPF) AND greater than or equal to 1 granular cast/ low powered field (LPF); or
Type 1 Diabetes Inclusion Criteria Clinical diagnosis of T1D without evidence of other diabetes types (monogenic, secondary to pancreas disease, etc.), reviewed and approved by KPMP site endocrinologist, and supported by at least one of the following: One or more positive antibodies associated with T1D • Low C-peptide, defined as at least one of the following:
and use of multiple daily insulin
injections or insulin pump use for >1 year
• Diabetes mellitus diagnosis for 5 years and complex insulin defined by multiple daily insulin injections ( 3 or more) or basal insulin injection plus inhaled insulin for meals or insulin pump therapy > 1 year continuously
AND one of the following (CKD, at risk of CKD, or DM-R):
CKD: Evidence of persistent kidney damage, manifest as any of the following present on at least two clinic assessments prior to enrollment and at least 3 months apart and excluding people with acute medical illnesses and changing kidney function: o eGFR 30-59 mL/min per 1.73m2 or
o eGFR greater than or equal to 30 mL/min per 1.73m2 with urine albumin excretion greater than or equal to 30 mg/g creatinine (or mg/day)
At risk of CKD: defined by any one or more of the following:
(persistent eGFR <75 mL/min per 1.73m2
at least 3 months apart and including the most recent measurement prior to screening, but not persistently <60 mL/min per 1.73m2 )
o eGFR slope <-5 mL/min/1.73m2 per year, calculated using all available outpatient serum creatinine values over ≥3 years prior to screening, excluding those obtained during acute illness, and including ≥1 creatinine measurement ≥3 years prior to screening
o HbA1c ≥8% on 2 occasions and T1D duration ≥5 years
o Hypertension as defined by KPMP protocol (for hypertension and CKD cohort)
o UACR ≥10 mg/g (twice, at least 3 months apart)
BMI ≥30 kg/m2 with dyslipidemia (defined as triglycerides (TG) ≥150 mg/dL, high-density lipoprotein (HDL) <40/50 mg/dL for men/women, or TG/HDL ratio >3) or lipid lowering treatment
sTNFR1 >870 pg/mL
T1D for over 25 years
Estimated glomerular filtration rate greater than or equal to 60 mL/min per 1.73m2
Urine albumin excretion less than 30 mg/g creatinine (or mg/day)
DM-R Inclusion Criteria A special population of people with long-standing type 1 diabetes (>25 years) who remain free of clinically-evident DKD (i.e. DKD "resilient" or "DM-R" individuals) will also be included. Study of the DKD resilient population using KPMP protocols offers a unique opportunity to identify protective factors against complications of diabetes mellitus. Diabetic Kidney Disease Resilient individuals are defined as individuals with diabetes for more than 25 years that are free from clinical nephropathy
General Exclusion Criteria
Safety Exclusion Criteria:
Potential participants will be excluded if the risk of kidney biopsy is considered too high by either the clinicians caring for the potential participant or the investigators at the RS.
Anatomic or Imaging Exclusion Criteria Kidney depth more than 13 cm (percutaneous biopsies only)
Bleeding Risk Exclusion Criteria
International Normalized Ratios (INR) greater than 1.4
Platelet count less than 100,000/uL
Hemoglobin less than 8.5 g/dL
Chronic anticoagulation
Inability to withdraw aspirin, clopidogrel, cilostazol, or similar anti-platelet agents for at least 7 days prior to biopsy (unless bleeding time is normal before open surgical biopsy); clinical judgement will be used in the case of nonsteroidal anti-inflammatory drugs (NSAID) exposure occurring less than 7 days before percutaneous biopsy.
Blood pressure of more than 160 mmHg systolic or 100 mmHg diastolic.
â—‹ Peri-procedure blood pressure fluctuations between 140-160 mmHg systolic and 90-100 mmHg diastolic require management, ideally to target, based on clinician/investigator judgment.
Ventilator-dependent patient (does not apply to open biopsies)
Hypotension or pressor support requirement (does not apply to open biopsies)
Any other condition where in the judgement of the operator, biopsy cannot be performed safely.
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The KPMP will focus on participant populations that account for large proportions of the public health burden of acute and chronic kidney diseases as evidenced by research and federal data.
For CKD, high priority populations include CKD in the setting of diabetes (diabetic kidney disease, DKD) and hypertension-associated CKD (H-CKD). A special population of people with long-standing type 1 diabetes (more than 25 years) who remain free of clinically-evident DKD will also be included.
For AKI, the focus will be on acute intrinsic non-glomerular disease, primarily on acute tubular necrosis (ATN). KPMP will also include a special population of patients at risk for AKI or with early AKI captured by an open (surgical) kidney biopsy performed at the time of clinically indicated laparotomy. The rationale for including this special AKI population is that AKI often occurs early in the clinical course of conditions like sepsis, major surgery and trauma.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Ashveena Dighe, MS, MPH | Contact | 800-555-5555 | ashveena.dighe@mssm.edu | |
| Kristina Blank, MPH | Contact | 206-897-1957 | blankk@uw.edu |
| Name | Affiliation | Role |
|---|---|---|
| Jonathan Himmelfarb, MD | Icahn School of Medicine at Mount Sinai | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Arizona | Recruiting | Tucson | Arizona | 85721 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 33637194 | Background | de Boer IH, Alpers CE, Azeloglu EU, Balis UGJ, Barasch JM, Barisoni L, Blank KN, Bomback AS, Brown K, Dagher PC, Dighe AL, Eadon MT, El-Achkar TM, Gaut JP, Hacohen N, He Y, Hodgin JB, Jain S, Kellum JA, Kiryluk K, Knight R, Laszik ZG, Lienczewski C, Mariani LH, McClelland RL, Menez S, Moledina DG, Mooney SD, O'Toole JF, Palevsky PM, Parikh CR, Poggio ED, Rosas SE, Rosengart MR, Sarwal MM, Schaub JA, Sedor JR, Sharma K, Steck B, Toto RD, Troyanskaya OG, Tuttle KR, Vazquez MA, Waikar SS, Williams K, Wilson FP, Zhang K, Iyengar R, Kretzler M, Himmelfarb J; Kidney Precision Medicine Project. Rationale and design of the Kidney Precision Medicine Project. Kidney Int. 2021 Mar;99(3):498-510. doi: 10.1016/j.kint.2020.08.039. | |
| Background | USGAO, Kidney disease research funding and priority setting. 2017: [online] https://www.gao.gov/assets/690/681714.pdf. | ||
| Background | RM, B., Social security amendments of 1972: summary and legislative history. 1973 | ||
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Available data can be found at https://www.kpmp.org/available-data. All KPMP data is available for sharing.
September 2019
De-identified IPD is public via atlas.kpmp.org. A minimal amount of clinical data is public. Non-public data can be accessed via a data use agreement.
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| OTHER |
| Broad Institute of MIT and Harvard | OTHER |
| The Cleveland Clinic | OTHER |
| Columbia University | OTHER |
| Indiana University | OTHER |
| Johns Hopkins University | OTHER |
| Joslin Diabetes Center | OTHER |
| Pacific Northwest National Laboratory | FED |
| Princeton University | OTHER |
| Ohio State University | OTHER |
| University of Pittsburgh | OTHER |
| The University of Texas Health Science Center at San Antonio | OTHER |
| University of Texas | OTHER |
| Washington University School of Medicine | OTHER |
| Yale University | OTHER |
| Mayo Clinic | OTHER |
| University of North Carolina, Chapel Hill | OTHER |
| University of Illinois at Chicago | OTHER |
| Vanderbilt University | OTHER |
| Providence Health & Services | OTHER |
| Harvard University | OTHER |
| University of Arizona | OTHER |
Not provided
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Kidney (renal) tissue will be obtained from all study participants at study entry Blood and urine will be collected longitudinally, including DNA One-time stool sample
| MRI | Other | Images will be acquired using 3.0T whole body scanner. The participant will undergo a series of sequences (e.g., BOLD, diffusion-weighted, ASL MRI, native T1, and fat fraction sequences). The participant will receive 20 mg of IV furosemide as a bolus. BOLD MRI sequences will be repeated 15 minutes after furosemide administration. ASL sequences are acquired using investigational protocols that are not FDA-approved. Siemens machines will use Body ASL PCASL Perfusion WIP 1023, Phillips will use Body ASL 2D PCASL Perfusion software, and GE machines will use Body ASL PCASL Perfusion software. |
|
| Retina Scan | Other | Fundus photography, fluorescein angiography, optical coherence tomography, optical coherence tomography angiography, and ophthalmologic exam and history will take place during one retina study visit. The retina visit will take place up to 6 weeks prior to the KPMP kidney biopsy OR up to 8 weeks post-biopsy. |
|
| Through study completion (up to 10 years, depending on enrollment date of participant) |
| Number of Participants with Outcomes Specific to AKI |
| Through study completion (up to 10 years, depending on enrollment date of participant) |
| Yale University | Recruiting | New Haven | Connecticut | 06520 | United States |
|
| University of Illinois Chicago | Recruiting | Chicago | Illinois | 60607 | United States |
|
| Johns Hopkins University | Recruiting | Baltimore | Maryland | 21287 | United States |
|
| Boston Medical Center | Recruiting | Boston | Massachusetts | 02115 | United States |
|
| Joslin Diabetes Center | Recruiting | Boston | Massachusetts | 48374 | United States |
|
| University of Minnesota | Recruiting | Minneapolis | Minnesota | 55455 | United States |
|
| Mayo Clinic, Rochester | Recruiting | Rochester | Minnesota | 55905 | United States |
|
| Mount Sinai | Recruiting | New York | New York | 10029 | United States |
|
| University of North Carolina | Recruiting | Chapel Hill | North Carolina | 27599 | United States |
|
| Cleveland Clinic | Recruiting | Cleveland | Ohio | 44195 | United States |
|
| University of Texas at Southwestern | Recruiting | Dallas | Texas | 75390 | United States |
|
| University of Washington | Recruiting | Seattle | Washington | 98195 | United States |
|
| Background |
| Rettig RA. Special treatment--the story of Medicare's ESRD entitlement. N Engl J Med. 2011 Feb 17;364(7):596-8. doi: 10.1056/NEJMp1014193. No abstract available. |
| Background | CfMaM., S., Chronic Conditions among medicare beneficiaries. Chartbook, 2012 Edition. Baltimore 2012. |
| 28281281 | Background | Norris KC, Williams SF, Rhee CM, Nicholas SB, Kovesdy CP, Kalantar-Zadeh K, Ebony Boulware L. Hemodialysis Disparities in African Americans: The Deeply Integrated Concept of Race in the Social Fabric of Our Society. Semin Dial. 2017 May;30(3):213-223. doi: 10.1111/sdi.12589. Epub 2017 Mar 9. |
| Background | Prevention, C.f.D.C.a., National Chronic Kidney Disease Fact Sheet, 2017, U.D.o.H.a.H. Services, Editor. 2017: Atlanta, GA. |
| 26885959 | Background | Mendu ML, Erickson KF, Hostetter TH, Winkelmayer WC, Olan G, Meyer RN, Hakim R, Sedor JR. Federal Funding for Kidney Disease Research: A Missed Opportunity. Am J Public Health. 2016 Mar;106(3):406-7. doi: 10.2105/AJPH.2015.303009. No abstract available. |
| 27127187 | Background | Linde PG, Archdeacon P, Breyer MD, Ibrahim T, Inrig JK, Kewalramani R, Lee CC, Neuland CY, Roy-Chaudhury P, Sloand JA, Meyer R, Smith KA, Snook J, West M, Falk RJ. Overcoming Barriers in Kidney Health-Forging a Platform for Innovation. J Am Soc Nephrol. 2016 Jul;27(7):1902-10. doi: 10.1681/ASN.2015090976. Epub 2016 Apr 28. |
| 24315119 | Background | Inrig JK, Califf RM, Tasneem A, Vegunta RK, Molina C, Stanifer JW, Chiswell K, Patel UD. The landscape of clinical trials in nephrology: a systematic review of Clinicaltrials.gov. Am J Kidney Dis. 2014 May;63(5):771-80. doi: 10.1053/j.ajkd.2013.10.043. Epub 2013 Dec 6. |
| 23222124 | Background | Hsu RK, McCulloch CE, Dudley RA, Lo LJ, Hsu CY. Temporal changes in incidence of dialysis-requiring AKI. J Am Soc Nephrol. 2013 Jan;24(1):37-42. doi: 10.1681/ASN.2012080800. Epub 2012 Dec 6. |
| 23727171 | Background | Lameire NH, Bagga A, Cruz D, De Maeseneer J, Endre Z, Kellum JA, Liu KD, Mehta RL, Pannu N, Van Biesen W, Vanholder R. Acute kidney injury: an increasing global concern. Lancet. 2013 Jul 13;382(9887):170-9. doi: 10.1016/S0140-6736(13)60647-9. Epub 2013 May 31. |
| 29051143 | Background | Collister D, Pannu N, Ye F, James M, Hemmelgarn B, Chui B, Manns B, Klarenbach S; Alberta Kidney Disease Network. Health Care Costs Associated with AKI. Clin J Am Soc Nephrol. 2017 Nov 7;12(11):1733-1743. doi: 10.2215/CJN.00950117. Epub 2017 Oct 19. |
| 22572776 | Background | Kellum JA, Bellomo R, Ronco C. Kidney attack. JAMA. 2012 Jun 6;307(21):2265-6. doi: 10.1001/jama.2012.4315. No abstract available. |
| Background | USRDS, United States Renal Data Systems 2013 Annual Data Report. United States Renal Data Systems. 2013: [online] http://http://www.usrds.org/2013/pdf/v1_ch6_13.pdf. |
| 18337550 | Background | Waikar SS, Liu KD, Chertow GM. Diagnosis, epidemiology and outcomes of acute kidney injury. Clin J Am Soc Nephrol. 2008 May;3(3):844-61. doi: 10.2215/CJN.05191107. Epub 2008 Mar 12. |
| 25424992 | Background | Sileanu FE, Murugan R, Lucko N, Clermont G, Kane-Gill SL, Handler SM, Kellum JA. AKI in low-risk versus high-risk patients in intensive care. Clin J Am Soc Nephrol. 2015 Feb 6;10(2):187-96. doi: 10.2215/CJN.03200314. Epub 2014 Nov 25. |
| 20032961 | Background | Murugan R, Karajala-Subramanyam V, Lee M, Yende S, Kong L, Carter M, Angus DC, Kellum JA; Genetic and Inflammatory Markers of Sepsis (GenIMS) Investigators. Acute kidney injury in non-severe pneumonia is associated with an increased immune response and lower survival. Kidney Int. 2010 Mar;77(6):527-35. doi: 10.1038/ki.2009.502. Epub 2009 Dec 23. |
| 19346042 | Background | Coca SG, Yusuf B, Shlipak MG, Garg AX, Parikh CR. Long-term risk of mortality and other adverse outcomes after acute kidney injury: a systematic review and meta-analysis. Am J Kidney Dis. 2009 Jun;53(6):961-73. doi: 10.1053/j.ajkd.2008.11.034. Epub 2009 Apr 5. |
| 19755705 | Background | Waikar SS, Winkelmayer WC. Chronic on acute renal failure: long-term implications of severe acute kidney injury. JAMA. 2009 Sep 16;302(11):1227-9. doi: 10.1001/jama.2009.1364. No abstract available. |
| 22113526 | Background | Coca SG, Singanamala S, Parikh CR. Chronic kidney disease after acute kidney injury: a systematic review and meta-analysis. Kidney Int. 2012 Mar;81(5):442-8. doi: 10.1038/ki.2011.379. Epub 2011 Nov 23. |
| 25568178 | Background | Kellum JA, Sileanu FE, Murugan R, Lucko N, Shaw AD, Clermont G. Classifying AKI by Urine Output versus Serum Creatinine Level. J Am Soc Nephrol. 2015 Sep;26(9):2231-8. doi: 10.1681/ASN.2014070724. Epub 2015 Jan 7. |
| Background | AKIWG, K., Kidney Disease: Improving Global Outcomes (KDIGO) Clinical Practice Guideline for Acute Kidney Injury. Kidney inter., Suppl., 2012. 2: p. 1-138. |
| 24789552 | Background | Chu R, Li C, Wang S, Zou W, Liu G, Yang L. Assessment of KDIGO definitions in patients with histopathologic evidence of acute renal disease. Clin J Am Soc Nephrol. 2014 Jul;9(7):1175-82. doi: 10.2215/CJN.06150613. Epub 2014 May 1. |
| 20089493 | Background | Perazella MA, Coca SG, Hall IE, Iyanam U, Koraishy M, Parikh CR. Urine microscopy is associated with severity and worsening of acute kidney injury in hospitalized patients. Clin J Am Soc Nephrol. 2010 Mar;5(3):402-8. doi: 10.2215/CJN.06960909. Epub 2010 Jan 14. |
| 22537423 | Background | Corapi KM, Chen JL, Balk EM, Gordon CE. Bleeding complications of native kidney biopsy: a systematic review and meta-analysis. Am J Kidney Dis. 2012 Jul;60(1):62-73. doi: 10.1053/j.ajkd.2012.02.330. Epub 2012 Apr 24. |
| 23329035 | Background | Rodriguez LL, Brooks LD, Greenberg JH, Green ED. Research ethics. The complexities of genomic identifiability. Science. 2013 Jan 18;339(6117):275-6. doi: 10.1126/science.1234593. No abstract available. |
| ID | Term |
|---|---|
| D058186 | Acute Kidney Injury |
| D051436 | Renal Insufficiency, Chronic |
| D003922 | Diabetes Mellitus, Type 1 |
| ID | Term |
|---|---|
| D051437 | Renal Insufficiency |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |
Not provided
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