Browsing by Author "Mohan, Sumit"

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    Discrepant Outcomes between National Kidney Transplant Data Registries in the United States
    (Wolters Kluwer, 2023) Yu, Miko; King, Kristen L.; Husain, S. Ali; Huml, Anne M.; Patzer, Rachel E.; Schold, Jesse D.; Mohan, Sumit; Surgery, School of Medicine
    Significance statement: Effects of reduced access to external data by transplant registries to improve accuracy and completeness of the collected data are compounded by different data management processes at three US organizations that maintain kidney transplant-related datasets. This analysis suggests that the datasets have large differences in reported outcomes that vary across different subsets of patients. These differences, along with recent disclosure of previously missing outcomes data, raise important questions about completeness of the outcome measures. Differences in recorded deaths seem to be increasing in recent years, reflecting the adverse effects of restricted access to external data sources. Although these registries are invaluable sources for the transplant community, discrepancies and incomplete reporting risk undermining their value for future analyses, particularly when used for developing national transplant policy or regulatory measures. Background: Central to a transplant registry's quality are accuracy and completeness of the clinical information being captured, especially for important outcomes, such as graft failure or death. Effects of more limited access to external sources of death data for transplant registries are compounded by different data management processes at the United Network for Organ Sharing (UNOS), the Scientific Registry of Transplant Recipients (SRTR), and the United States Renal Data System (USRDS). Methods: This cross-sectional registry study examined differences in reported deaths among kidney transplant candidates and recipients of kidneys from deceased and living donors in 2000 through 2019 in three transplant datasets on the basis of data current as of 2020. We assessed annual death rates and survival estimates to visualize trends in reported deaths between sources. Results: The UNOS dataset included 77,605 deaths among 315,346 recipients and 61,249 deaths among 275,000 nonpreemptively waitlisted candidates who were never transplanted. The SRTR dataset included 87,149 deaths among 315,152 recipients and 60,042 deaths among 259,584 waitlisted candidates. The USRDS dataset included 89,515 deaths among 311,955 candidates and 63,577 deaths among 238,167 waitlisted candidates. Annual death rates among the prevalent transplant population show accumulating differences across datasets-2.31%, 4.00%, and 4.03% by 2019 from UNOS, SRTR, and USRDS, respectively. Long-term survival outcomes were similar among nonpreemptively waitlisted candidates but showed more than 10% discordance between USRDS and UNOS among transplanted patients. Conclusions: Large differences in reported patient outcomes across datasets seem to be increasing, raising questions about their completeness. Understanding the differences between these datasets is essential for accurate, reliable interpretation of analyses that use these data for policy development, regulatory oversight, and research. Podcast: This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/JASN/2023_10_24_JASN0000000000000194.mp3.
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    Optimal Care for Kidney Health: Development of a Merit-based Incentive Payment System (MIPS) Value Pathway
    (Wolters Kluwer, 2023) Tummalapalli, Sri Lekha; Struthers, Sarah A.; White, David L.; Beckrich, Amy; Brahmbhatt, Yasmin; Erickson, Kevin F.; Garimella, Pranav S.; Gould, Edward R.; Gupta, Nupur; Lentine, Krista L.; Lew, Susie Q.; Liu, Frank; Mohan, Sumit; Somers, Michael; Weiner, Daniel E.; Bieber, Scott D.; Mendu, Mallika L.; Medicine, School of Medicine
    The Merit-based Incentive Payment System (MIPS) is a mandatory pay-for-performance program through the Centers for Medicare & Medicaid Services (CMS) that aims to incentivize high-quality care, promote continuous improvement, facilitate electronic exchange of information, and lower health care costs. Previous research has highlighted several limitations of the MIPS program in assessing nephrology care delivery, including administrative complexity, limited relevance to nephrology care, and inability to compare performance across nephrology practices, emphasizing the need for a more valid and meaningful quality assessment program. This article details the iterative consensus-building process used by the American Society of Nephrology Quality Committee from May 2020 to July 2022 to develop the Optimal Care for Kidney Health MIPS Value Pathway (MVP). Two rounds of ranked-choice voting among Quality Committee members were used to select among nine quality metrics, 43 improvement activities, and three cost measures considered for inclusion in the MVP. Measure selection was iteratively refined in collaboration with the CMS MVP Development Team, and new MIPS measures were submitted through CMS's Measures Under Consideration process. The Optimal Care for Kidney Health MVP was published in the 2023 Medicare Physician Fee Schedule Final Rule and includes measures related to angiotensin-converting enzyme inhibitor and angiotensin receptor blocker use, hypertension control, readmissions, acute kidney injury requiring dialysis, and advance care planning. The nephrology MVP aims to streamline measure selection in MIPS and serves as a case study of collaborative policymaking between a subspecialty professional organization and national regulatory agencies.
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    Uromodulin to Osteopontin Ratio in Deceased Donor Urine Is Associated With Kidney Graft Outcomes
    (Wolters Kluwer, 2021) Mansour, Sherry G.; Liu, Caroline; Jia, Yaqi; Reese, Peter P.; Hall, Isaac E.; El-Achkar, Tarek M.; LaFavers, Kaice A.; Obeid, Wassim; Rosenberg, Avi Z.; Daneshpajouhnejad, Parnaz; Doshi, Mona D.; Akalin, Enver; Bromberg, Jonathan S.; Harhay, Meera N.; Mohan, Sumit; Muthukumar, Thangamani; Schröppel, Bernd; Singh, Pooja; El-Khoury, Joe M.; Weng, Francis L.; Thiessen-Philbrook, Heather R.; Parikh, Chirag R.; Medicine, School of Medicine
    Background: Deceased-donor kidneys experience extensive injury, activating adaptive and maladaptive pathways therefore impacting graft function. We evaluated urinary donor uromodulin (UMOD) and osteopontin (OPN) in recipient graft outcomes. Methods: Primary outcomes: all-cause graft failure (GF) and death-censored GF (dcGF). Secondary outcomes: delayed graft function (DGF) and 6-month estimated glomerular filtration rate (eGFR). We randomly divided our cohort of deceased donors and recipients into training and test datasets. We internally validated associations between donor urine UMOD and OPN at time of procurement, with our primary outcomes. The direction of association between biomarkers and GF contrasted. Subsequently, we evaluated UMOD:OPN ratio with all outcomes. To understand these mechanisms, we examined the effect of UMOD on expression of major histocompatibility complex II in mouse macrophages. Results: Doubling of UMOD increased dcGF risk (adjusted hazard ratio [aHR], 1.1; 95% confidence interval [CI], 1.02-1.2), whereas OPN decreased dcGF risk (aHR, 0.94; 95% CI, 0.88-1). UMOD:OPN ratio ≤3 strengthened the association, with reduced dcGF risk (aHR, 0.57; 0.41-0.80) with similar associations for GF, and in the test dataset. A ratio ≤3 was also associated with lower DGF (aOR, 0.73; 95% CI, 0.60-0.89) and higher 6-month eGFR (adjusted β coefficient, 3.19; 95% CI, 1.28-5.11). UMOD increased major histocompatibility complex II expression elucidating a possible mechanism behind UMOD's association with GF. Conclusions: UMOD:OPN ratio ≤3 was protective, with lower risk of DGF, higher 6-month eGFR, and improved graft survival. This ratio may supplement existing strategies for evaluating kidney quality and allocation decisions regarding deceased-donor kidney transplantation.