Annual health care resource utilization and cost among type 2 diabetes patients with newly recognized chronic kidney disease within a large U.S. administrative claims database

Causal impact of elevated body mass index on diabetic kidney disease: an integrated Mendelian randomization and Global Burden of Disease Study 2021 analysis

BACKGROUND

Elevated body mass index (BMI) has been implicated in the pathogenesis of diabetic kidney disease among patients with type 2 diabetes mellitus (T2DKD). However, establishing a causal relationship and quantifying the resultant global health impact remain challenging.

METHODS

A two-sample Mendelian randomization (MR) analysis was conducted using summary-level data obtained from the IEU database. Multiple MR approaches, including inverse variance weighted (IVW), MR-Egger regression, weighted median, weighted mode, and simple mode methods, were implemented to ensure robust causal inference. In parallel, Global Burden of Disease Study (GBD) 2021 were analyzed to determine the trends in mortality and disability-adjusted life years (DALYs) in T2DKD attributable to high BMI (HBMI-T2DKD) from 1990 to 2021. Joinpoint regression was used to estimate the average annual percent change (AAPC). Bayesian age-period-cohort (BAPC) models were then applied to project the disease burden through 2049.

RESULTS

MR analyses provided strong evidence for a causal relationship between elevated BMI and T2DKD. The GBD analysis revealed a sustained global increase in HBMI-T2DKD burden over the past three decades. Between 1990 and 2021, the result of AAPC indicated a persistent upward trend. The burden was particularly high among older adults, with the highest impact observed in East Asia and middle Socio-Demographic Index (SDI) region. By 2049, HBMI-T2DKD-related disease burden were projected to continue rising.

CONCLUSIONS

Elevated BMI is a significant causal risk factor for T2DKD. The integration of MR and GBD 2021 data underscores the urgent need for targeted public health interventions to reduce BMI levels, especially in high-risk regions and aging populations.

In-patient expenditure between 2011 and 2021 for patients with type 2 diabetes mellitus: a hospital-based multicenter retrospective study in southwest China

Background

Type 2 diabetes mellitus (T2DM) is a chronic non-infectious disease that seriously endangers human health. This study aimed to determine the main factors influencing the medical expenditure of T2DM patients and provide guidance for the allocation and control of medical expenditure.

Methods

The homepage data of patients with T2DM were retrospectively collected from six tertiary hospitals in southwest China from January 2011 to December 2021. A multiple linear regression model was constructed to examine the factors associated with medical expenses per patient. Furthermore, the trends of medical expenditure according to other important measures and patient subgroups were described, and a proportional breakdown of medical expenditure was generated. All expenditure data were reported in Chinese Yuan (CNY), based on the 2021 value, and adjusted using the year-specific healthcare consumer price index.

Results

A total of 45,237 patients with T2DM were analyzed in this study. Multiple linear regression showed that age, marital status, insurance type, length of stay, number of clinical visits, number of comorbidities, history of disease, history of surgery, smoking history, and the age-adjusted Charlson comorbidity index score were influencing factors of medical expenditure in patients with T2DM. Considering the overall average medical expenditure, diagnosis cost accounted for the largest proportion and was never <25% since 2011, showing a decreasing trend year by year. Among the types of comorbidity, hypertension was the most prevalent, followed by kidney disease and hyperlipidemia. In terms of the combination of comorbidities, medical expenditure was the highest for pulmonary infection+hypertension (24,360 CNY), followed by coronary heart disease+heart failure+hypertension (22,029 CNY).

Conclusions

Identifying the main factors influencing the medical expenditure of patients with T2DM can provide a reference for the medical security department to formulate reasonable compensation plans and for medical institutions to optimize treatment plans. Ultimately, this might reduce the financial burden of patients and relieve the pressure of medical insurance funds.

A cost-utility analysis of adding SGLT2 inhibitors for the management of type 2 diabetes with chronic kidney disease in Thailand

Chronic kidney disease (CKD) in type 2 diabetes (T2D) patients is associated with end-stage renal disease and significant economic burden. While sodium glucose cotransporter-2 inhibitors (SGLT2i) show renal benefits in randomized controlled trials (RCTs), their cost-effectiveness in Thailand remains unclear. This study evaluates the cost-utility of adding SGLT2i (dapagliflozin, empagliflozin, and canagliflozin) to standard of care therapy (SoCT) for T2D patients with CKD in Thailand. A lifetime Markov model assessed economic and clinical outcomes. Data were derived from Thai studies, RCT subgroup analyses, and patient interviews. Sensitivity analysis was performed. Adding SGLT2i increased life expectancy (0.42-0.52 years) and QALYs (3.83- 3.91 vs. 3.50 with SoCT alone), but also increased lifetime costs ($1,275-$1,903). Empagliflozin was cost-effective at a WTP threshold of $4,336 per QALY ($3,386/QALY), while dapagliflozin ($5,783/QALY) and canagliflozin ($4,591/QALY) required price reductions. SGLT2i showed potential cost savings for dialysis and kidney transplantation compared to SoCT alone. Adding SGLT2i to SoCT for T2D and CKD patients increases costs but provides significant clinical benefits. Empagliflozin is cost-effective at a WTP threshold of $4,336/QALY, while dapagliflozin and canagliflozin require price reductions to be cost-effective. However, the analysis solely focuses on renal benefits, excluding other advantages like cardiovascular and heart failure protection.

Consensus Report on the Use of Continuous Glucose Monitoring in Chronic Kidney Disease and Diabetes

This report represents the conclusions of 15 experts in nephrology and endocrinology, based on their knowledge of key studies and evidence in the field, on the role of continuous glucose monitors (CGMs) in patients with diabetes and chronic kidney disease (CKD), including those receiving dialysis. The experts discussed issues related to CGM accuracy, indications, education, clinical outcomes, quality of life, research gaps, and barriers to dissemination. Three main goals of management for patients with CKD and diabetes were identified: (1) greater use of CGMs for better glycemic monitoring and management, (2) further research evaluating the accuracy, feasibility, outcomes, and potential value of CGMs in patients with end-stage kidney disease (ESKD) on hemodialysis, and (3) equitable access to CGM technology for patients with CKD. The experts also developed 15 conclusions regarding the use of CGMs in this population related to CGMs' unique delivery of both real-time information that can guide monitoring and management of glycemia and continuous and predictive data in this population, which is at higher risk for hypoglycemia and hyperglycemia. The group noted three major clinical gaps: (1) CGMs are not routinely prescribed for patients with diabetes and CKD; (2) CGMs are not approved by the United States Food and Drug Administration (FDA) for patients with diabetes who are on dialysis; and (3) CGMs are not routinely available to all of those who need them because of structural barriers in the health care system. These gaps can be improved with greater stakeholder collaboration, education, and awareness brought to the use of CGM technology in CKD.

Detection of decline in estimated glomerular filtration rate in patients with type 2 diabetes by cystatin C-based equations

BACKGROUND

Aging population is a significant issue in Viet Nam and across the globe. Elderly individuals are at higher risk of chronic kidney disease (CKD), especially those with diabetes. Several studies found that the estimated glomerular filtration rate (eGFR) determined using creatinine-based equations was not as accurate as that determined using cystatin C-based equations. Cystatin C-based equations may be beneficial in elderly patients with an age-associated decline in kidney function. Early determination of eGFR decline and associated factors would aid in appropriate interventions to improve kidney function in elderly patients with diabetes.

AIM

To determine the utility of cystatin C-based equations in early detection of eGFR decline and to explore factors associated with eGFR decline in elderly patients with diabetes.

METHODS

This cross-sectional study included 93 participants aged ≥ 60 years evaluated in Can Tho University of Medicine and Pharmacy Hospital between October 2022 and July 2023, including 47 and 46 participants with and without diabetes respectively, according to the American Diabetes Association criteria for diabetes. The kappa coefficient, Student's t, Mann-Whitney, χ 2, Pearson's correlation, multivariate logistic regression, and multiple linear regression analyses were employed.

RESULTS

The eGFRs were lower with the cystatin C-based equations than with the creatinine-based equations. Good agreement was found between the Modification of Diet in Renal Disease (MDRD) and CKD Epidemiology Collaboration (CKD-EPI) 2021 creatinine-cystatin C equations (kappa = 0.66). In the diabetes group, 30% of the participants had low eGFR. Both plasma glucose and glycated hemoglobin were associated with an increased risk of eGFR decline (P < 0.05) and negatively correlated with eGFR (P = 0.001). By multivariate logistic regression, total cholesterol, and exercise were independently associated with low eGFR. By multiple linear regression, higher plasma glucose levels were correlated with lower eGFR (P = 0.026, r = -0.366).

CONCLUSION

Cystatin C-based equations were superior in the early detection of a decline in eGFR, and the MDRD equation may be considered as an alternative to the CKD-EPI 2021 creatinine-cystatin C equation. Exercise, plasma glucose, and total cholesterol were independently associated with eGFR in patients with diabetes.

Healthcare utilization, mortality, and cardiovascular events following GLP1-RA initiation in chronic kidney disease

Treatment with glucagon-like peptide-1 receptor agonists (GLP1-RA) in patients with type 2 diabetes (T2D) and chronic kidney disease (CKD) may attenuate kidney disease progression and cardiovascular events but their real-world impact on healthcare utilization and mortality in this population are not well-defined. Here, we emulate a clinical trial that compares outcomes following initiation of GLP1-RA vs Dipeptidyl peptidase-4 inhibitors (DPP4i), as active comparators, in U.S. veterans aged 35 years of older with moderate to advanced CKD during fiscal years 2006 to 2021. Primary outcome was rate of acute healthcare utilization. Secondary outcomes were all-cause mortality and a composite of acute cardiovascular events. After propensity score matching (16,076 pairs) and 2.2 years mean follow-up duration, use of GLP1-RA in patients with moderate to advanced CKD was associated with lower annual rate of acute healthcare utilization and all-cause mortality. There was no significant difference in acute cardiovascular events.

Epidemiology of Diabetic Kidney Disease among US Veterans

Rationale

With a large number of patients and high mortality, diabetic kidney disease (DKD) imposes a significant burden on US health care. Although diabetes is the leading cause of chronic kidney disease and complications, the epidemiology of DKD in the contemporary US veteran population is generally unknown.

Objective

We aimed to estimate the rate of DKD progression and to measure the general epidemiology of DKD in the United States veteran population.

Study Design

We performed a retrospective observational research using electronic health-care records and administrative databases.

Setting

The DKD patient cohort was abstracted from the Veterans Health Administration health-record data from January 2016 to March 2022.

Participants

We defined DKD patients using the laboratory test data based on Kidney Disease: Improving Global Outcomes (KDIGO) clinical practice guidelines.

Analytic Approach

Summary statistics include the five-year cumulative incidence of progression to an advanced stage from the DKD stage at the cohort entry date and prevalence at a series of single time points.

Results

A total of 685,288 patients (male [96%], mean age 62 years, Caucasian [64%], non-Hispanic [87%]) met our eligibility criteria. The 5-year cumulative incidence of progression to an advanced DKD stage or all-cause death from DKD stages G1 A2/A3, G2 A2/A3, G3a, and G3b were 52.0%, 47.4%, 50.5%, and 60.9%, respectively. In sum, 594,082 patients were classified as moderate or high risk as per KDIGO guidelines in 2021, and stages G3a and G3b accounted for 51.2% and 25.3%, respectively, of cases.

Conclusion

More than half of DKD patients underwent a stage progression or death within 5 years. A substantial number of DKD patients at an earlier stage might be left undetermined. The study findings warrant a revision of DKD patient identification and management in US veterans.

Evaluation of longer- vs short-term use of patiromer on health care resource utilization in the patiromer longer-term use evaluation (VALUE) study

BACKGROUND

Studies suggest that continuous long-term use of patiromer by patients with hyperkalemia is associated with less health care resource utilization compared with not using potassium binders.

OBJECTIVE

To retrospectively evaluate health care resource utilization and costs with longer-term adherent vs short-term use of patiromer.

METHODS

Time-restricted extracts from Optum's de-identified Clinformatics® Data Mart Database (CDM; January 2016-May 2019) and Symphony Health (SHA; January 2016-September 2018) deidentified databases were analyzed. Both include participants enrolled in commercial and privatized public insurance programs (SHA includes some government programs). Both integrate health care claims data from medical and pharmacy claims. Patients aged 18 years or older with hyperkalemia and an index patiromer prescription were selected. Patiromer use was identified as short-term (<2 months) and any fill quantity or adherent longer-term with claims for at least 2 consecutive months and fill quantities of at least 80% of the total days. Groups were matched on multiple categorical covariates to control for demographic variables, baseline characteristics, and markers of disease severity. Random sampling without replacement was performed 50 times to identify 50 sets of patients matched from the short-term cohort to the longer-term cohort. Health care costs/charges and encounters were compared for a 6-month post-index period using t-tests.

RESULTS

Of the CDM patients, 1,267 (40.2%) vs 1,887 (59.8%) and of the SHA patients, 2,234 (35.1%) vs 4,132 (64.9%) experienced longer-term vs short-term patiromer use, respectively. Patient sampling selected 242 and 485 patient-matched pairs from CDM and SHA databases, respectively. At 6 months post-index in longer-term vs short-term patiromer groups (P < 0.0001 for all differences shown), respective mean medical and prescription costs/charges were $42,000 vs $54,311 (-$12,311) and $6,816 vs $4,786 (+$2,030), respectively, for CDM patients and $75,147 vs $84,414 (-$9,267) and $4,689 vs $3,736 (+$953) for SHA patients. In the CDM database, medical costs were lower for longer-term vs short-term cohorts for end-stage renal disease services charges ($10,342 vs $14,976 [-$4,634]), inpatient charges ($15,789 vs $21,473 [-$5,684]), and office visit charges ($10,152 vs $13,152 [-$3,000]). Patient out-of-pocket costs ($658 vs $420 [+$238]) and total prescription charges ($6,158 vs $4,366 [+$1,792]) were higher for the longer-term cohort of CDM patients, with similar findings in the SHA dataset.

CONCLUSIONS

Adherent, longer-term use of patiromer is associated with significantly lower medical costs offsetting higher prescription costs, driven by the largest changes in inpatient and clinic services at CDM and SHA, respectively. This illustrates an economic value of longer-term adherence to patiromer.

Humanistic and Economic Burden of Patients with Cardiorenal Metabolic Conditions: A Systematic Review

INTRODUCTION

Diabetes is associated with significant economic burden. Moreover, cardiovascular disease (CVD), including heart failure, and chronic kidney disease (CKD) are common comorbidities, leading to premature mortality. We conducted a systematic review to assess the humanistic and economic burden of cardio-renal-metabolic (CRM) conditions in individuals ≥ 18 years with CVD, CKD, and type 2 diabetes mellitus.

METHODS

We searched Embase® and Medline® databases from 2011 to January 10, 2022 for English publications reporting humanistic and economic burden outcomes from observational studies, real-world evidence, and economic model studies. Intervention and validation studies were excluded. Study quality was assessed using the Newcastle-Ottawa Scale. Abstracts/posters were identified from four conferences (2020-2022).

RESULTS

Of 1804 studies identified, 22 (including four conference publications) were selected involving 351,296,930 participants (one modeled the US population); eight reported healthcare resource utilization (HCRU), seven only cost data, six HCRU and cost data, one reported quality-of-life data (11/18 and 7/18 had estimated low and medium risk of bias, respectively). Participants were predominantly ≥ 65 years and identified as having White ethnicity. Higher costs and HCRU were observed in patients with all three conditions compared to those with two or none. Urban/metropolitan and insured patients had higher healthcare expenditure and service utilization compared to uninsured and racial/ethnic minority populations. Comorbidities were associated with increased hospitalizations, higher costs, and more emergency department visits. In general, patients identified as having Black ethnicity had low odds of using healthcare services, possibly due to disparities in healthcare access and distrust in the system. Limitations included no adjustment for inflation and a predominance of retrospective studies.

CONCLUSIONS

This review showed a greater economic burden for patients with CRM conditions, with a clear trend between increasing numbers of comorbidities and increasing healthcare costs/resource use. Comparisons between countries are complicated and the scarcity of evidence from minority racial and ethnic groups and lack of data from non-US geographies warrant further investigation.

The drivers of non-adherence to albuminuria testing guidelines and the clinical and economic impact of not identifying chronic kidney disease

BACKGROUND

Regular monitoring is required to ensure that patients who have, or are at risk of, chronic kidney disease (CKD) receive appropriate management. Guidelines recommend regular testing of estimated glomerular filtration rate (GFR) and albuminuria. However, evidence suggests that albuminuria testing rates, specifically urine albumin-to-creatinine ratio (UACR), are suboptimal.

AIM

To assess published evidence relating to the drivers of non-adherence to albuminuria testing guidelines and the impact of not identifying CKD across the course of progression.

MATERIALS AND METHODS

A systematic review of five bibliographic databases was conducted, supplemented by hand searches of relevant conference abstracts.

RESULTS

One study was identified that reported drivers of non-adherence to albuminuria testing guidelines. The largest barrier was the perception that testing does not impact patient management. Thirteen studies were identified that evaluated the impact of not identifying CKD patients. All included studies analyzed the effect of not identifying worsening CKD severity leading to late referral (LR). 12/13 studies reported only on clinical impact, and 1/13 reported on clinical and economic impact. LR led to higher costs and worse outcomes than early referral, including higher rates of mortality and worsened kidney replacement therapy preparation.

CONCLUSION

This systematic review demonstrates a gap in evidence exploring the drivers of non-adherence to albuminuria testing guidelines and the impact of not identifying patients in the early stages of CKD. Guideline-recommended testing allows timely identification, referral, and treatment for patients with, or at risk of, CKD, providing the best chance of avoiding the worsened outcomes identified in this review.

Impact of Season and Other Factors on Initiation, Discontinuation, and Switching of Systemic Drug Therapy in Patients with Psoriasis: A Retrospective Study

This study investigated whether systemic drug prescribing for psoriasis varies by season and other exacerbating factors. Eligible patients with psoriasis were assessed for each season for initiation, discontinuation, and switching of systemic drugs. A total of 360,787 patients were at risk of initiating any systemic drugs in 2016‒2019; 39,572 patients and 35,388 patients were at risk of drug discontinuation or switching to a biologic and a nonbiologic systemic drug, respectively. The initiation of biologic therapy in 2016‒2019 peaked in spring (1.28%), followed by summer (1.11%), fall (1.08%), and winter (1.01%). Nonbiologic systemic drugs followed a similar pattern. Those aged 30‒39 years, male, those with psoriatic arthritis, those who live in the South region, those who live in areas with lower altitudes, and those who live in areas with lower humidity had higher initiation with the same seasonality pattern. Discontinuation of biologic drugs peaked in summer, and switching of biologics was highest in spring. Season is associated with initiation, discontinuation, and switching, although seasonality pattern is less clear for nonbiologic systemic drugs. Approximately 14,280 more patients with psoriasis in the United States are estimated to initiate a biologic in spring than in other seasons, and over 840 more biologic users switched in spring than in winter. The findings may provide evidence for healthcare resource planning in psoriasis management.

Healthcare resource utilization and related costs of patients with CKD from the United States: a report from the DISCOVER CKD retrospective cohort

Introduction

It is well established that chronic kidney disease (CKD) results in a significant burden on patients' health and health care providers. However, detailed estimates of the health care resource utilization (HCRU) of CKD are limited, particularly those which consider severity, comorbidities, and payer type. This study aimed to bridge this evidence gap by reporting contemporary HCRU and costs in patients with CKD across the US health care providers.

Methods

Cost and HCRU estimates of CKD and reduced kidney function without CKD (estimated glomerular filtration rate [eGFR]: 60-75 and urine albumin-to-creatinine ratio [UACR]: <30) were derived for US patients included in the DISCOVER CKD cohort study, using linked inpatient and outpatient data from the limited claims-EMR data set (LCED) and TriNetX database. Patients with a history of transplant or undergoing dialysis were not included. HCRU and costs were stratified by CKD severity using UACR and eGFR.

Results

Overall health care costs ranged from $26,889 (A1) to $42,139 (A3), and from $28,627 (G2) to $42,902 (G5) per patient per year (PPPY), demonstrating a considerable early disease burden which continued to increase with declining kidney function. The PPPY costs of later stage CKD were particularly notable for patients with concomitant heart failure ($50,191 [A3]) and those covered by commercial payers ($55,735 [A3]).

Conclusions

Health care costs and resource use associated with CKD and reduced kidney function pose a substantial burden across health care systems and payers, increasing in line with CKD progression. Early CKD screening, particularly of UACR, paired with proactive disease management may provide both an improvement to patient outcomes and a significant HCRU and cost saving to health care providers.

Descriptive study of the economic burden among patients with type 2 diabetes mellitus, chronic kidney disease, and chronic kidney disease and type 2 diabetes mellitus in a large US commercially insured population

BACKGROUND: Chronic kidney disease (CKD) is a major public health concern that affects 37 million adults in the United States. It is well known that CKD presents a large economic burden, especially in the Medicare population. However, studies of the economic burden of CKD in younger populations are scarce. In particular, there is a gap in understanding how the presence of type 2 diabetes mellitus (T2DM) affects the burden of CKD in commercially insured populations. OBJECTIVE: To describe the economic and health care resource utilization (HCRU) burden of CKD within 3 patient groups (T2DM only, CKD only, and CKD and T2DM) aged 45-64 years overall and by Kidney Disease Improving Global Outcomes (KDIGO) CKD estimated glomerular filtration rate-based stage categories. METHODS: A descriptive, observational retrospective cohort study was conducted using administrative medical and pharmacy claims integrated with laboratory results data available in the HealthCore Integrated Research Database from January 1, 2017, to December 31, 2019. Three mutually exclusive groups of commercially insured patients aged 45-64 years were identified: T2DM only, CKD only, and CKD and T2DM. All-cause and disease-specific HCRU and costs in total, by medical and pharmacy benefits and across all places of service, were described for each of these groups 12 months after index date. For the CKD only and CKD and T2DM groups, costs were also described by KDIGO CKD stage. RESULTS: The CKD and T2DM group (n = 13,052) had numerically higher 12-month post-index all-cause and CKD/T2DM-related HCRU across all places of service. Mean 12-month all-cause costs for this group were $35,649, whereas costs for the CKD only group (n = 7,876) were $25,010 and costs for the T2DM only group (n = 120,364) were $16,121. Costs also tended to increase as CKD stage increased, with the greatest increases beginning at KDIGO stage 3b and higher. Mean 12-month all-cause costs for the CKD and T2DM group ranged from $29,993 to $41,222 for stages 1 to 3a and from $46,796 to $119,944 for stages 3b to 5. CONCLUSIONS: Commercially insured patients aged 45-64 years with CKD, especially those who also have T2DM, present a substantial burden in terms of elevated HCRU and costs. Costs tend to increase across KDIGO CKD stages and increase most rapidly at stage 3b and later. Therefore, there is an opportunity to reduce the burden of CKD in this population by investing in interventions to prevent or delay CKD disease progression. DISCLOSURES: HealthCore, Inc, received funding to perform this research, as well as funding from multiple pharmaceutical companies to perform various research studies outside of the submitted work. Mr Crowe and Dr Willey are employees of HealthCore, Inc., a wholly owned subsidiary of Elevance Health, Inc. Ms Chung was an employee of HealthCore, Inc., a wholly owned subsidiary of Elevance Health, Inc, at the time of study performance. Ms Chung and Dr Willey are shareholders of Elevance Health, Inc. Dr Kong, Dr Singh, Mr Farej, Dr Elliot, and Dr Williamson are employees of Bayer US, LLC. Dr Singh is a shareholder of Bayer US, LLC.

Clinical complexity and diabetes: a multidimensional approach for the management of cardiorenal metabolic syndrome

Diabetes mellitus (DM) is one of the fastest-growing health emergencies of the 21st century, and one of the chronic diseases with the highest socio-economic impact on health care systems. DM is the main cause of chronic kidney disease, and is associated with a significant increase in cardiovascular risk and clinical and care complexity. The presence of a constellation of cardiac, metabolic, and renal diseases, in a complex patient with DM, constitutes the CardioRenal Metabolic Syndrome (CRMS). The management of these patients should include a paradigm shift from a reactive strategy to a proactive approach, and the integration of territorial, hospital and social assistance services according to the Chronic Care Model (CCM). Complexity science suggests an alternative model in which disease and health arise from complex, dynamic, and unique interactions among the different components of the overall system. The hospital should be viewed as a highly specialized hub of the chronic care system, which interacts with the outpatient specialist and primary care. In order to create effective communication among territorial care units and highly specialized hospitals, levels of clinical complexity are here proposed and included in a multidimensional management model for the complex patient with diabetes and cardiorenal comorbidity.

Increased healthcare costs by later stage cancer diagnosis

Background

Cancer represents a significant source of disease burden in the United States (US), both clinically and economically. Diagnosis and treatment of cancer at earlier stages may reduce this burden. To better understand potential impacts of earlier diagnosis, healthcare costs among patients with cancer were assessed by cancer type and stage at diagnosis.

Methods

A retrospective analysis was conducted using Optum’s de-identified Integrated Claims-Clinical data set with Enriched Oncology, which includes data from Medicare Advantage and commercially insured members. Adult members newly diagnosed with solid tumor cancers, cancer stage at diagnosis (diagnosed 1/1/2016–6/30/2020), and continuous enrollment for at least one month post diagnosis were identified. Patients with breast, cervical, colorectal, lung, ovarian, or prostate cancer were reported. Mean standardized costs (2020 USD) were calculated in each month on an annual and cumulative basis through four years post-cancer diagnosis. In each month, costs were calculated for those with continuous enrollment and no death reported in the month. Mean annual cost per patient was estimated by summing month one to 12 mean costs and stratifying by stage at cancer diagnosis; annual year one to four costs were summed to determine cumulative costs.

Results

Among members diagnosed 2016–2020 with breast, cervical, colorectal, lung, ovarian, or prostate cancer, 20,422 eligible members were identified. Mean costs increased by stage of diagnosis across all cancers at the annual and cumulative level through year four post diagnosis. Cumulative mean costs grew over time at a relatively similar rate across stages I to III and more dramatically in stage IV, except for cervical and lung cancer where the rate was relatively stable or slightly fluctuated across stages and ovarian cancer where stages III and IV both increased more sharply compared to stages I and II.

Conclusions

Mean annual and cumulative healthcare costs through year four post cancer diagnosis were significantly higher among those diagnosed at later versus earlier cancer stages. The steeper increase in cumulative costs among those diagnosed in stage IV for many cancer types highlights the importance of earlier cancer diagnosis. Earlier cancer diagnosis may enable more efficient treatment, improve patient outcomes and reduce healthcare costs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08457-6.

Costs of multimorbidity: a systematic review and meta-analyses

BACKGROUND

Multimorbidity is a rising global phenomenon, placing strains on countries' population health and finances. This systematic review provides insight into the costs of multimorbidity through addressing the following primary and secondary research questions: What evidence exists on the costs of multimorbidity? How do costs of specific disease combinations vary across countries? How do multimorbidity costs vary across disease combinations? What "cost ingredients" are most commonly included in these multimorbidity studies?

METHODS

We conducted a systematic review (PROSPERO: CRD42020204871) of studies published from January 2010 to January 2022, which reported on costs associated with combinations of at least two specified conditions. Systematic string-based searches were conducted in MEDLINE, The Cochrane Library, SCOPUS, Global Health, Web of Science, and Business Source Complete. We explored the association between costs of multimorbidity and country Gross Domestic Product (GDP) per capita using a linear mixed model with random intercept. Annual mean direct medical costs per capita were pooled in fixed-effects meta-analyses for each of the frequently reported dyads. Costs are reported in 2021 International Dollars (I$).

RESULTS

Fifty-nine studies were included in the review, the majority of which were from high-income countries, particularly the United States. (1) Reported annual costs of multimorbidity per person ranged from I$800 to I$150,000, depending on disease combination, country, cost ingredients, and other study characteristics. (2) Our results further demonstrated that increased country GDP per capita was associated with higher costs of multimorbidity. (3) Meta-analyses of 15 studies showed that on average, dyads which featured Hypertension were among the least expensive to manage, with the most expensive dyads being Respiratory and Mental Health condition (I$36,840), Diabetes and Heart/vascular condition (I$37,090), and Cancer and Mental Health condition in the first year after cancer diagnosis (I$85,820). (4) Most studies reported only direct medical costs, such as costs of hospitalization, outpatient care, emergency care, and drugs.

CONCLUSIONS

Multimorbidity imposes a large economic burden on both the health system and society, most notably for patients with cancer and mental health condition in the first year after cancer diagnosis. Whether the cost of a disease combination is more or less than the additive costs of the component diseases needs to be further explored. Multimorbidity costing studies typically consider only a limited number of disease combinations, and few have been conducted in low- and middle-income countries and Europe. Rigorous and standardized methods of data collection and costing for multimorbidity should be developed to provide more comprehensive and comparable evidence for the costs of multimorbidity.

Modeling Chronic Kidney Disease in Type 2 Diabetes Mellitus: A Systematic Literature Review of Models, Data Sources, and Derivation Cohorts

INTRODUCTION

As novel therapies for chronic kidney disease (CKD) in type 2 diabetes mellitus (T2DM) become available, their long-term benefits should be evaluated using CKD progression models. Existing models offer different modeling approaches that could be reused, but it may be challenging for modelers to assess commonalities and differences between the many available models. Additionally, the data and underlying population characteristics informing model parameters may not always be evident. Therefore, this study reviewed and summarized existing modeling approaches and data sources for CKD in T2DM, as a reference for future model development.

METHODS

This systematic literature review included computer simulation models of CKD in T2DM populations. Searches were implemented in PubMed (including MEDLINE), Embase, and the Cochrane Library, up to October 2021. Models were classified as cohort state-transition models (cSTM) or individual patient simulation (IPS) models. Information was extracted on modeled kidney disease states, risk equations for CKD, data sources, and baseline characteristics of derivation cohorts in primary data sources.

RESULTS

The review identified 49 models (21 IPS, 28 cSTM). A five-state structure was standard among state-transition models, comprising one kidney disease-free state, three kidney disease states [frequently including albuminuria and end-stage kidney disease (ESKD)], and one death state. Five models captured CKD regression and three included cardiovascular disease (CVD). Risk equations most commonly predicted albuminuria and ESKD incidence, while the most predicted CKD sequelae were mortality and CVD. Most data sources were well-established registries, cohort studies, and clinical trials often initiated decades ago in predominantly White populations in high-income countries. Some recent models were developed from country-specific data, particularly for Asian countries, or from clinical outcomes trials.

CONCLUSION

Modeling CKD in T2DM is an active research area, with a trend towards IPS models developed from non-Western data and single data sources, primarily recent outcomes trials of novel renoprotective treatments.

Cardiorenal disease in the United States: future health care burden and potential impact of novel therapies

BACKGROUND: Currently, concerted efforts to identify, prevent, and treat type 2 diabetes mellitus (T2DM), heart failure (HF), and chronic kidney disease (CKD) comorbidities are lacking at the institutional level, with emphasis placed on individual specialties. An integrated approach to tackle T2DM, HF, and CKD within the context of cardiorenal disease has the potential to improve outcomes and reduce costs at the system level. OBJECTIVE: To synthesize published evidence describing the burden of those diagnosed with T2DM, HF, and CKD in the United States as individual discrete chronic conditions, in order to evaluate the potential economic impact of novel therapies in this population. METHODS: We developed a compartmental Markov model with an annual time cycle to model an evolving prevalent US patient population with T2DM, HF, or CKD over the period 2021-2030 (either in isolation or combined). The model was used to explore the potential impact of novel therapies such as sodium-glucose cotransporter 2 inhibitors on future disease burden, by extrapolating the results of relevant clinical trials to representative patient populations. RESULTS: The model estimates that total prevalence across all disease states will have increased by 28% in 2030. Cumulatively, the direct health care cost of cardiorenal disease between 2021 and 2030 is estimated at $4.8 trillion. However, treatment with dapagliflozin has the potential to reduce disease prevalence by 8.0% and estimated cumulative service delivery costs by 3.6% by 2030. CONCLUSIONS: Considering a holistic approach when managing patients with cardiorenal disease offers an opportunity to reduce the disease burden over the next 10 years in the US population. DISCLOSURES: This work was funded by AstraZeneca, which provided support for data analysis. McEwan, Morgan, and Boyce are employees of Health Economics and Outcomes Research Ltd., Cardiff, UK, which received fees from AstraZeneca in relation to this study. Song and Huang are employees of AstraZeneca. Bergenheim is an employee of AstraZeneca and holds AstraZeneca stocks/stock options. Green has no conflicts of interest to declare.