PUK34 Validation of ICD-9 Codes for the Identification of Patients with Stage 3-5 Chronic Kidney Disease in Administrative Claims Data

Abstract Background Chronic kidney disease (CKD), one of the most common complications of type 2 diabetes (T2D), is associated with poor health outcomes and high healthcare expenditures. As the CKD population increases, a better understanding of the prevalence and progression of CKD is critical. However, few contemporary studies have explored the progression of CKD relative to its onset in T2D patients using established markers derived from real-world care settings. Methods This retrospective, population-based cohort study assessed CKD progression among adults with T2D and with newly recognized CKD identified from US administrative claims data between 1 January 2008 and 30 September 2018. Included were patients with T2D and laboratory evidence of CKD as indicated by the established estimated glomerular filtration rate (eGFR) and urine albumin:creatinine ratio (UACR) criteria. Disease progression was described as transitions across the eGFR- and UACR-based stages. Results A total of 65 731 and 23 035 patients with T2D contributed to the analysis of eGFR- and UACR-based CKD stage progression, respectively. CKD worsening was observed in approximately 10–17% of patients over a median follow-up of 2 years. Approximately one-third of patients experienced an increase in eGFR values or a decrease in UACR values during follow-up. Conclusions A relatively high proportion of patients were observed with disease progression over a short period of time, highlighting the need for better identification of patients at risk of rapidly progressive CKD. Future studies are needed to determine the clinical characteristics of these patients to inform earlier diagnostic and therapeutic interventions aimed at slowing disease progression.

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An observational claims data analysis on the risk of maternal chronic kidney disease after preterm delivery and preeclampsia

Scientific Reports ◽

10.1038/s41598-021-92078-2 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Maren Goetz ◽

Mitho Müller ◽

Raphael Gutsfeld ◽

Tjeerd Dijkstra ◽

Kathrin Hassdenteufel ◽

...

Keyword(s):

Chronic Kidney Disease ◽

Preterm Birth ◽

Kidney Disease ◽

Preterm Delivery ◽

Claims Data ◽

Maternal Risk ◽

Live Births ◽

Increased Risk ◽

History Of

AbstractWomen with complications of pregnancy such as preeclampsia and preterm birth are at risk for adverse long-term outcomes, including an increased future risk of chronic kidney disease (CKD) and end-stage kidney disease (ESKD). This observational cohort study aimed to examine the risk of CKD after preterm delivery and preeclampsia in a large obstetric cohort in Germany, taking into account preexisting comorbidities, potential confounders, and the severity of CKD. Statutory claims data of the AOK Baden-Wuerttemberg were used to identify women with singleton live births between 2010 and 2017. Women with preexisting conditions including CKD, ESKD, and kidney replacement therapy (KRT) were excluded. Preterm delivery (< 37 gestational weeks) was the main exposure of interest; preeclampsia was investigated as secondary exposure. The main outcome was a newly recorded diagnosis of CKD in the claims database. Data were analyzed using Cox proportional hazard regression models. The time-dependent occurrence of CKD was analyzed for four strata, i.e., births with (i) neither an exposure of preterm delivery nor an exposure of preeclampsia, (ii) no exposure of preterm delivery but exposure of at least one preeclampsia, (iii) an exposure of at least one preterm delivery but no exposure of preeclampsia, or (iv) joint exposure of preterm delivery and preeclampsia. Risk stratification also included different CKD stages. Adjustments were made for confounding factors, such as maternal age, diabetes, obesity, and dyslipidemia. The cohort consisted of 193,152 women with 257,481 singleton live births. Mean observation time was 5.44 years. In total, there were 16,948 preterm deliveries (6.58%) and 14,448 births with at least one prior diagnosis of preeclampsia (5.61%). With a mean age of 30.51 years, 1,821 women developed any form of CKD. Compared to women with no risk exposure, women with a history of at least one preterm delivery (HR = 1.789) and women with a history of at least one preeclampsia (HR = 1.784) had an increased risk for any subsequent CKD. The highest risk for CKD was found for women with a joint exposure of preterm delivery and preeclampsia (HR = 5.227). These effects were the same in magnitude only for the outcome of mild to moderate CKD, but strongly increased for the outcome of severe CKD (HR = 11.90). Preterm delivery and preeclampsia were identified as independent risk factors for all CKD stages. A joint exposure or preterm birth and preeclampsia was associated with an excessive maternal risk burden for CKD in the first decade after pregnancy. Since consequent follow-up policies have not been defined yet, these results will help guide long-term surveillance for early detection and prevention of kidney disease, especially for women affected by both conditions.

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Characterization of bariatric surgery and outcomes using administrative claims data in the research network of a nationwide commercial health plan

BMC Health Services Research ◽

10.1186/s12913-021-06074-3 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Qinli Ma ◽

Michael Mack ◽

Sonali Shambhu ◽

Kathleen McTigue ◽

Kevin Haynes

Keyword(s):

Bariatric Surgery ◽

Health Systems ◽

Comparative Effectiveness ◽

Claims Data ◽

Research Network ◽

Hospital Death ◽

Administrative Claims ◽

Administrative Claims Data ◽

Abdominal Operations

Abstract Background The supplementation of electronic health records data with administrative claims data may be used to capture outcome events more comprehensively in longitudinal observational studies. This study investigated the utility of administrative claims data to identify outcomes across health systems using a comparative effectiveness study of different types of bariatric surgery as a model. Methods This observational cohort study identified patients who had bariatric surgery between 2007 and 2015 within the HealthCore Anthem Research Network (HCARN) database in the National Patient-Centered Clinical Research Network (PCORnet) common data model. Patients whose procedures were performed in a member facility affiliated with PCORnet Clinical Research Networks (CRNs) were selected. The outcomes included a 30-day composite adverse event (including venous thromboembolism, percutaneous/operative intervention, failure to discharge and death), and all-cause hospitalization, abdominal operation or intervention, and in-hospital death up to 5 years after the procedure. Outcomes were classified as occurring within or outside PCORnet CRN health systems using facility identifiers. Results We identified 4899 patients who had bariatric surgery in one of the PCORnet CRN health systems. For 30-day composite adverse event, the inclusion of HCARN multi-site claims data marginally increased the incidence rate based only on HCARN single-site claims data for PCORnet CRNs from 3.9 to 4.2%. During the 5-year follow-up period, 56.8% of all-cause hospitalizations, 31.2% abdominal operations or interventions, and 32.3% of in-hospital deaths occurred outside PCORnet CRNs. Incidence rates (events per 100 patient-years) were significantly lower when based on claims from a single PCORnet CRN only compared to using claims from all health systems in the HCARN: all-cause hospitalization, 11.0 (95% Confidence Internal [CI]: 10.4, 11.6) to 25.3 (95% CI: 24.4, 26.3); abdominal operations or interventions, 4.2 (95% CI: 3.9, 4.6) to 6.1 (95% CI: 5.7, 6.6); in-hospital death, 0.2 (95% CI: 0.11, 0.27) to 0.3 (95% CI: 0.19, 0.38). Conclusions Short-term inclusion of multi-site claims data only marginally increased the incidence rate computed from single-site claims data alone. Longer-term follow up captured a notable number of events outside of PCORnet CRNs. The findings suggest that supplementing claims data improves the outcome ascertainment in longitudinal observational comparative effectiveness studies.

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Attribution of Adverse Events Following Coronary Stent Placement Identified Using Administrative Claims Data

Journal of the American Heart Association ◽

10.1161/jaha.119.013606 ◽

2020 ◽

Vol 9 (4) ◽

Author(s):

Sanket S. Dhruva ◽

Craig S. Parzynski ◽

Ginger M. Gamble ◽

Jeptha P. Curtis ◽

Nihar R. Desai ◽

...

Keyword(s):

Adverse Events ◽

Stent Placement ◽

Claims Data ◽

Coronary Stent ◽

Administrative Claims ◽

Administrative Claims Data

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Validation of diabetes case definitions using administrative claims data

Diabetic Medicine ◽

10.1111/j.1464-5491.2011.03238.x ◽

2011 ◽

Vol 28 (4) ◽

pp. 424-427 ◽

Cited By ~ 24

Author(s):

S. Amed ◽

S. E. Vanderloo ◽

D. Metzger ◽

J.-P. Collet ◽

K. Reimer ◽

...

Keyword(s):

Claims Data ◽

Administrative Claims ◽

Case Definitions ◽

Administrative Claims Data ◽

Diabetes Case

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PDB35 Trajectory of Glycated Hemoglobin Over Time Among Obese Type 2 Diabetes Patients Prescribed U-100 Basal-only Insulin Regimens: A US Administrative Claims Data Analysis

Value in Health ◽

10.1016/j.jval.2021.04.432 ◽

2021 ◽

Vol 24 ◽

pp. S84

Author(s):

K. Maughn ◽

J. Chen ◽

D.R. Nelson ◽

L. Fan ◽

Y. Liu ◽

...

Keyword(s):

Type 2 Diabetes ◽

Data Analysis ◽

Claims Data ◽

Glycated Hemoglobin ◽

Administrative Claims ◽

Administrative Claims Data ◽

Claims Data Analysis ◽

Over Time ◽

Diabetes Patients

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Abstract 173: A Comparison of Administrative Claims Discharge Diagnosis with Electronic Medical Record Problem List in the Diagnosis of Acute Myocardial Infarction

Circulation Cardiovascular Quality and Outcomes ◽

10.1161/circoutcomes.7.suppl_1.173 ◽

2014 ◽

Vol 7 (suppl_1) ◽

Author(s):

Michael D McCulloch ◽

Tim Sobol ◽

Joy Yuhas ◽

Bill Ahern ◽

Eric D Hixson ◽

...

Keyword(s):

Myocardial Infarction ◽

Acute Myocardial Infarction ◽

Medical Record ◽

Chart Review ◽

Claims Data ◽

Administrative Claims ◽

Problem List ◽

Principal Diagnosis ◽

Administrative Claims Data ◽

Patient Admissions

Background: Administrative claims data are commonly used for measurement of mortality and readmissions in Acute Myocardial Infarction (AMI). With advent of the Electronic Medical Record (EMR), the electronic problem list offers new ways to capture diagnosis data. However, no data comparing the accuracy of administrative claims data and the EMR problem list exists. Methods: Two years of admissions at a single, quaternary medical center were analyzed to compare the presence of AMI diagnosis in administrative claims and EMR problem list data using a 2x2 matrix. To gain insights into this novel method, 25 patient admissions were randomly selected from each group to undergo physician chart review to adjudicate a clinical diagnosis of myocardial infarction based on the universal definition. Results: A total of 105,929 admissions from January 1, 2010 to December 31, 2011 were included. Where EMR problem list and administrative claims data were in agreement for or against AMI diagnosis they were highly accurate. Where administrative claims data, but not EMR problem list, reported AMI the most common explanation was true AMI with missing EMR problem list diagnoses (60%). Less common reasons for discordance in this category include: (1) administrative coding error (20%), (2) computer algorithm error (8%), (3) patient death before EMR problem list created (4%), (4) EMR problem list not used (4%) and (5) AMI diagnosis was removed from EMR problem list (4%). Where EMR problem list, but not administrative claims data, reported AMI the most common explanation was no AMI with historical diagnosis of AMI from a previous admission (60%). Less common reasons for discordance in this category include: (1) AMI present but not the principal diagnosis (32%), (2) administrative coding error (4%) and (3) erroneous EMR problem list entry (4%). Conclusion: Compared to administrative and chart review diagnoses, we found that using the EMR problem list to identify patient admissions with a principal diagnosis of AMI will overlook a subset of patients primarily due to inadequate clinical documentation. Additionally, the EMR problem list does not discriminate the admission principal diagnosis from the secondary diagnoses.

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