Predicting hospital cost in CKD patients through blood chemistry values

Multidisciplinary care improves clinical outcome and reduces medical costs for pre-end-stage renal disease in Taiwan

Aim

Multidisciplinary care (MDC) for patients with chronic kidney disease (CKD) may help to optimize disease care and improve clinical outcomes. Our study aimed to evaluate the effectiveness of pre-end-stage renal disease (ESRD) patients under MDC and usual care in Taiwan.

Method

In this 3-year retrospective observational study, we recruited 822 ESRD subjects, aged 18 years and older, initiating maintenance dialysis more than 3 months from five cooperating hospitals. The MDC (n = 391) group was cared for by a nephrologists-based team and the usual care group (n = 431) was cared for by sub-specialists or nephrologists alone more than 90 days before dialysis initiation. Patient characteristics, dialysis modality, hospital utilization, hospitalization at dialysis initiation, mortality and medical cost were evaluated. Medical costs were further divided into in-hospital, emergency services and outpatient visits.

Results

The MDC group had a better prevalence in peritoneal dialysis (PD) selection, less temporary catheter use, a lower hospitalization rate at dialysis initiation and 15% reduction in the risk of hospitalization (P < 0.05). After adjusting for gender, age and Charlson Comorbidity Index score, there were lower in-hospital and higher outpatient costs in the MDC group during 3 months before dialysis initiation (P < 0.05). In contrast, medical costs (NT$ 146 038 vs 79 022) and hospitalization days (22.4 vs 15.5 days) at dialysis initiation were higher in the usual care group. Estimated medical costs during 3 months before dialysis till dialysis initiation, the MDC group yielded a reduction of NT$ 59 251 for each patient (P < 0.001). Patient mortality was not significantly different.

Conclusion

Multidisciplinary care intervention for pre-ESRD patients could not only significantly improve the quality of disease care and clinical outcome, but also reduce medical costs.

A retrospective case-control analysis of the outpatient expenditures for western medicine and dental treatment modalities in CKD patients in Taiwan

BACKGROUND

To determine if expenditures for dentistry (DENT) correlate with severity of chronic kidney disease (CKD).

METHODS

A total of 10,457 subjects were enrolled from January 2008 to December 2010, divided into three groups: healthy control (HC) group (n = 1,438), high risk (HR) group (n = 3,392), and CKD group (n = 5,627). Five stages were further categorized for the CKD group. OPD utilization and expenditures for western medicine (WM), DENT, and TCM (traditional Chinese medicine) were analyzed retrospectively (2000-2008) using Taiwan's National Health Insurance Research Database. Three major areas were analyzed among groups CKD, HR and HC in this study: 1) demographic data and medical history; 2) utilization (visits/person/year) and expenditures (9-year cumulative expenditure, expenditure/person/year) for OPD services in WM, DENT, and TCM; and 3) utilization and expenditures for dental OPD services, particularly in dental filling, root canal and periodontal therapy.

RESULTS

OPD utilization and expenditures of WM increased significantly for the CKD group compared with the HR and HC groups, and increased steadily along with the severity of CKD stages. However, overall DENT and TCM utilization and expenditures did not increase for the CKD group. In comparison among different CKD stages, the average expenditures and utilization for DENT including restorative filling and periodontal therapy, but not root canal therapy, showed significant decreases according to severity of CKD stage, indicating less DENT OPD utilization with progression of CKD.

CONCLUSIONS

Patients with advanced CKD used DENT OPD service less frequently. However, the connection between CKD and DENT service utilization requires further study.

Renal function, calcium regulation, and time to hospitalization of patients with chronic kidney disease

BACKGROUND

Chronic kidney disease is associated with disruption of the endocrine system that distorts the balance between calcitriol, calcium, phosphate and parathyroid hormone in the calcium regulation system. This can lead to calcification of the arterial tree and increased risk of cardiovascular disease and death. In this study we develop a health metric, based on biomarkers involved in the calcium regulation system, for use in identifying patients at high risk for future high-cost complications.

METHODS

This study is a retrospective observational study involving a secondary analysis of data from the kidney disease registry of a regional managed care organization. Chronic kidney disease patients in the registry from November 2007 through November 2011 with a complete set of observations of estimated glomerular filtration rate, calcitriol, albumin, free calcium, phosphate, and parathyroid hormone were included in the study (n = 284). Weibull regression model was used to identify the most significant lab tests in predicting "waiting time to hospitalization". A multivariate linear path model was then constructed to investigate direct and indirect effects of the biomarkers on this outcome.

RESULTS

The results showed negative significant direct effects of phosphate and parathyroid hormone on "waiting time to hospitalization". Base on this result, the risk of hospitalization increases 16.8% for each 0.55 mg/dl increase in phosphate level and 13.5% for each 0.467 increase in the natural logarithm of parathyroid hormone. Positive indirect effects of calcitriol surrogate (calcidiol), free calcium, albumin and estimated glomerular filtration rate were observed but were relatively small in magnitude.

CONCLUSION

Variables involved in the calcium regulation system should be included in future efforts to develop a quality of care index for Chronic Kidney disease patients.

Relating illness complexity to reimbursement in CKD patients

Background:

Despite significant investments of federal and state dollars to transition patient medical records to an all-electronic system, a chasm still exists between health care quality and payment for it. A major reason for this gap is the difficulty in evaluating health care outcomes based on claims data. Since both payers and patients may not appreciate how illness complexity impacts treatment outcomes, it is difficult to determine fair provider compensation.

Objectives:

Chronic kidney disease (CKD) typifies these problems and is often associated with comorbidities that impact cost, health, and work productivity. Thus, the objective of this study was to evaluate an illness complexity score (ICS) based on a linear regression of select blood values that might assist in predicting average monthly reimbursements in CKD patients. A second objective was to compare the results of this ICS prediction to results obtained by prediction of average monthly reimbursement using CKD stage. A third objective was to analyze the relationship between the change in ICS, estimated glomerular filtration rate (eGFR), and CKD stage over time to average monthly reimbursement.

Methods:

We calculated parsimonious values for select variables associated with CKD patients and compared the ICS to ordinal staging of renal disease. Data from 177 de-identified patients over 13 months was collected, which included 15 blood chemistry observations along with complete claims data for all medical expenses. To test for the relationship between average blood chemistry values, stages of CKD, age, and average monthly reimbursement, we modeled an association through a linear regression function of age, eGFR, and the Z-scores calculated from average monthly values of phosphorus, parathyroid hormone, glucose, hemoglobin, bicarbonate, albumin, creatinine, blood urea nitrogen, potassium, calcium, sodium, alkaline phosphatase, alanine aminotransferase, and white blood cells.

Results:

The results of our study demonstrated that the association between average ICS values throughout the entire study period predicted average monthly reimbursements with an R² value of 0.41. Comparing that value to the association between the average CKD stage and average monthly reimbursement demonstrated an R² value of 0.08. Thus, ICS offers five times greater sensitivity over CKD staging as a measure of illness complexity.

Conclusion:

Sorting the patient population by changes in CKD stage or ICS over the entire study period revealed significant differences between the two scoring methods. Groups scored by ICS demonstrated greater sensitivity by capturing dysfunction in other organ systems and had a better association with reimbursement than groups scored by CKD staging.