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Fung M, Haghamad A, Montgomery E, Swanson K, Wilkerson ML, Stathakos K, VanNess R, Nowak SA, Wilburn C, Kavus H, Swid MA, Okoye N, Ziemba YC, Ramrattan G, Macy J, McConnell J, Lewis MJ, Bailey B, Shotorbani K, Crawford JM. A retrospective multi-site examination of chronic kidney disease using longitudinal laboratory results and metadata to identify clinical and financial risk. BMC Nephrol 2024; 25:447. [PMID: 39639199 PMCID: PMC11622455 DOI: 10.1186/s12882-024-03869-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 11/18/2024] [Indexed: 12/07/2024] Open
Abstract
BACKGROUND A retrospective observational study was conducted at 3 health care organizations to identify clinical gaps in care for patients with stage 3 or 4 chronic kidney disease (CKD), and financial opportunity from U.S. risk adjustment payment systems. Lack of evaluation for CKD in patients with diabetes was also assessed. METHODS Outpatient longitudinal laboratory results and patient metadata available in the electronic medical record, laboratory information system, and/or laboratory billing or facility claims data for the calendar year 2021 were evaluated. Laboratory results were compared to billing data (ICD-10 codes) and risk adjustment scores including Hierarchical Condition Categories (HCC) to determine if laboratory-identified CKD was coded as a disease condition in the electronic medical record. Adults 18 to 75 years of age were included; inpatient laboratory results and pregnant individuals were excluded. RESULTS At the 3 institutions, 12,478 of 16,063 (78%), 487 of 1511 (32%) and 19,433 of 29,277 (66%) of patients with laboratory evidence of stage 3 or 4 CKD did not have a corresponding ICD-10 or HCC code for CKD in the electronic medical record. For patients at the 3 institutions with diabetes on the basis of an HbA1c value of ≥ 6.5%, 34,384 of 58,278 (59%), 2274 of 2740 (83%) and 40,378 of 52,440 (77%) had not undergone guideline-recommended laboratory testing for CKD during the same 12 months. Using publicly available data for calendar year 2021, an estimated 3246 of 32,398 patients (9.9%) at the 3 institutions with undocumented CKD stages 3-4 would be enrolled in Medicare Advantage or Affordable Care Act Marketplace programs. The imputed lost reimbursement under risk-adjusted payment systems for under-documentation of CKD in this subset of patients was $2.85 M for the three institutions combined, representing lost opportunity for both identification and proactive clinical management of these patients, and financial recovery for the costs of providing that care. CONCLUSIONS Clinical laboratories can provide value beyond routine diagnostics, helping to close gaps in care for identification and management of CKD, stratifying subgroups of patients to identify risk, and capturing missed reimbursement through risk adjustment factors.
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Affiliation(s)
- Mark Fung
- Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Burlington, VT, USA
| | - Aya Haghamad
- Department of Pathology and Laboratory Medicine, Northwell Health, New Hyde Park, NY, USA
| | | | | | - Myra L Wilkerson
- Department of Pathology and Laboratory Medicine, Geisinger Medical Center, Danville, PA, USA
| | - Kimon Stathakos
- Department of Pathology and Laboratory Medicine, Northwell Health, New Hyde Park, NY, USA
| | | | - Sarah A Nowak
- Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Burlington, VT, USA
| | - Clayton Wilburn
- Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Burlington, VT, USA
| | - Haluk Kavus
- Department of Pathology and Laboratory Medicine, Geisinger Medical Center, Danville, PA, USA
| | - Mohammed Amer Swid
- Department of Pathology and Laboratory Medicine, Geisinger Medical Center, Danville, PA, USA
| | - Nkemakonam Okoye
- Department of Pathology and Laboratory Medicine, Northwell Health, New Hyde Park, NY, USA
| | - Yonah C Ziemba
- Department of Pathology and Laboratory Medicine, Northwell Health, New Hyde Park, NY, USA
| | - Girish Ramrattan
- Department of Pathology and Laboratory Medicine, Northwell Health, New Hyde Park, NY, USA
| | - Jonathan Macy
- Department of Pathology and Laboratory Medicine, Northwell Health, New Hyde Park, NY, USA
| | - John McConnell
- Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Burlington, VT, USA
| | | | - Beth Bailey
- Project Santa Fe Foundation, Salt Lake City, UT, USA
| | | | - James M Crawford
- Department of Pathology and Laboratory Medicine, Northwell Health, New Hyde Park, NY, USA.
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Xia F, Hao W, Liang J, Zhao Z, Wu Y, Yu F, Hu W, Fang X, Liu W. Comparison of estimated glomerular filtration rate equations based on serum creatinine-, cystatin C- and creatinine-cystatin C in elderly Chinese patients. Int Urol Nephrol 2023; 55:943-952. [PMID: 36169900 DOI: 10.1007/s11255-022-03370-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 08/21/2022] [Indexed: 10/14/2022]
Abstract
BACKGROUND This study aimed to further evaluate the accuracy of eleven GFR equations in different subgroups of an elderly Chinese hospitalized population. METHODS All participants of the study were divided into seven separate groups including age-subgroup, sex-subgroup, GFR Staging-subgroup and whether combined with diabetic, hypertensive, coronary heart disease (CHD) and cerebrovascular disease. Referring to Tc-99m-DTPA dual plasma sample clearance method, six serum creatinine (Cr)-based [Cockcroft-Gault (CG), Chronic Kidney Disease Epidemiology Collaboration (CKD-EPICr), Lund-Malmö Revised (LMR), Berlin Initiative Study (BIS1), Full Age Spectrum (FASCr) and European Kidney Function Consortium (EKFC)], two serum cystatin C(Cys)-based (CKD-EPICys and FASCys), and three Cr-Cys combination based (CKD-EPICr-Cys, BIS2 and FASCr-Cys) equations were employed. Bias, interquartile range of the median difference (IQR), P30, and GFR misclassification rate were calculated to compare the performance of the selected equations. RESULTS A total of 359 elderly Chinese patients were enrolled. Overall, median mGFR was 36.91(25.26,56.32)ml/min/1.73 m2. Smaller biases (ml/min/1.73 m2) were shown in CKD-EPICr and BIS1 equations (0.75 and 0.61). IQR (ml/min/1.73m2) was least with BIS2 equation and FASCr-Cys equation (10.34 and 10.65). For accuracy (P30), performance of FASCr-Cys, BIS2, and BIS1 equation was superior (78.3%, 78.0%, and 74.7%, respectively). In terms of RMSE (ml/min/1.73 m2), BIS1 and FASCr-Cys equation performed better (12.44 and 12.51). CONCLUSIONS Overall, this study showed that the eGFR equations were less accurate in the diabetic and non-hypertension group than in the non-diabetic and hypertension group, respectively. Among all enrolled equations, the BIS2 and FASCr-Cys equations might be the best choice to evaluate glomerular filtration rate in Chinese elderly patients.
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Affiliation(s)
- Fangxiao Xia
- Department of Geriatric Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, 510080, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Wenke Hao
- Department of Geriatric Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, 510080, China
| | - Jinxiu Liang
- Department of Geriatric Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, 510080, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Zhi Zhao
- Department of Geriatric Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, 510080, China
| | - Yanhua Wu
- Department of Geriatric Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, 510080, China
| | - Feng Yu
- Department of Geriatric Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, 510080, China
| | - Wenxue Hu
- Department of Geriatric Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, 510080, China
| | - Xiaowu Fang
- Department of Geriatric Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, 510080, China
| | - Wei Liu
- Department of Geriatric Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, 510080, China.
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China.
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