The economic impact of multimorbidity in Italy: evaluation of direct costs and scenario analysis of patients with type 2 diabetes, heart failure, and chronic kidney disease using real-world data

Clostridioides difficile Infection in Chronic Kidney Disease/End-Stage Renal Disease.

Impact of Fatty Liver Disease on Health Care Utilization and Costs in a General Population: A 5-Year Observation

To determine the incremental increases in health care utilization and expenditures associated with sleep disorders. Adults with a diagnosis of a sleep disorder (International Classification of Diseases, 10th Revision, code G47.x) within the medical conditions file of the 2018 Medical Expenditure Panel Survey medical conditions file were identified. This dataset was then linked to the consolidated expenditures file and comparisons in health care utilization and expenditures were made between those with and without sleep disorders. Multivariate analyses, adjusted for demographics and comorbidities, were conducted for these comparisons. Overall, 5.6% ± 0.2% of the study population had been diagnosed with a sleep disorder, representing approximately 13.6 ± 0.6 million adults in the United States. Those with sleep disorders were more likely to be non-Hispanic, White, and female, with a higher proportion with public insurance and higher Charlson Comorbidity Scores. Adults with sleep disorders were found to have increased utilization of office visits (16.3 ± 0.8 vs 8.7 ± 0.3, P < .001), emergency room visits (0.52 ± 0.03 vs 0.37 ± 0.02, P < .001), and prescriptions (39.7 ± 1.2 vs 21.9 ± 0.4, P < .001) vs those without sleep disorders. The additional incremental health care expenses for those with sleep disorders were increased in all examined measures: total health care expense ($6,975 ± $800, P < .001), total office-based expenditures ($1,694 ± $277, P < .001), total prescription expenditures ($2,574 ± $364, P < .001), and total self-expenditures for prescriptions ($195 ± $32, P < .001). Sleep disorders are associated with significantly higher rates of health care utilization and expenditures. By using the conservative prevalence estimate found in this study, the overall incremental health care costs of sleep disorders in the United States represents approximately $94.9 billion. Huyett P, Bhattacharyya N. Incremental health care utilization and expenditures for sleep disorders in the United States. J Clin Sleep Med. 2021;17(10):1981-1986.

Trends in type 2 diabetes medication use and guideline adherence in Belgian primary care (2019–2023)

Background and Aims The rising burden of chronic kidney disease (CKD) calls for early detection and targeted interventions. Kidney-protective treatments (renin–angiotensin system inhibitors [RASis] and sodium-glucose co-transporter-2 inhibitors [SGLT2is]) can delay chronic kidney disease (CKD) progression, cardiovascular events and death. However, contemporary differences between CKD patients with and without type 2 diabetes (T2D) is limited. This study aimed to describe the prevalence, patient characteristics, the use of kidney protective treatments (RASi or SGLT2i) and event risks among patients with incident stage 3-4 CKD in Finland. Method We used comprehensive real-world clinical data from electronic health records from primary and hospital care in five municipalities in Finland between 1st January 2016 to 31st December 2022 to identify stage 3-4 CKD patients aged ≥18 years, defined as having either one estimated glomerular filtration rate (eGFR) measurement between 15 to 60 ml/min/1.73 m2 followed by a second one ≥90 days apart, or a registered CKD diagnosis. Two cohorts from primary care were identified: a prevalent cohort indexed at a fixed date, 1st Jan 2022 and an incident cohort indexed at the date of new CKD. The incident CKD patients were followed from CKD incident index date until death, emigration, or end of study on 31 December 2022. Analyses were also stratified by CKD patients with T2D and non-diabetes (T1D and gestational diabetes excluded), respectively. Risks were estimated as event rates per 1000 patient-years. The proportion of patients on/off treatment were estimates as a function of time and divided into pre- vs. post-index. Results In 2022 the prevalent cohort of 16,380 CKD stage 3-4 patients, represented a prevalence of 6.2% in the total background population of 263,383 individuals. The 12,129 incident Stage 3-4 CKD patients had a median eGFR of 55 ml/min/1.73 m2, similar in both non-T2D and T2D. Most patients were non-T2D; 73% (n = 8859). At index, 1.7% had a CKD diagnosis, lower in non-T2D (1.0%) vs T2D (3.5%) patients. The use of urine albumin creatinine ratio (UACR) was generally very low (21% had a measurement), 9% in the non-T2D and 53% in the T2D patients. Non-T2D, compared to T2D patients, were similar in age (76 vs 75 years) and had slightly less comorbidities like HF (12% vs 18%), myocardial infarction (9% vs 14%), stroke (15% vs 16%), atrial fibrillation (21% vs 25%) and less treated with statins (38% vs 64%). During follow-up, 10% had died within 1-year (97 deaths per 1000 patient years), similar in non-T2D (95 deaths per 1000 patient years) and T2D patients (104 deaths per 1000 patient years). One year risk of any hospitalization was also high, 49% and 64%, respectively. The use of kidney-protective treatments (renin angiotensin system inhibitor [RASi] or SGLT2i) at index (date of incident CKD) was lower in patients without T2D (47%) compared to those with T2D (69%). No change was observed in their use in the 12 months after incident CKD (Fig.). Finally, when studying the proportion of all non-T2D patients receiving SGLT2i after approval for CKD treatment, less than 1% of all CKD patients in the study group were treated with SGLT2i on 31st December 2022. Conclusion This study shows that CKD stage 3-4 is highly prevalent in Finland. Newly detected CKD stage 3-4 patients were little diagnosed and the use of UACR was low, especially among those who were non-diabetic. More than 2 out of 3 CKD patients were non-diabetic. Importantly, these non-diabetic CKD patients had similarly high disease burden, similar high risk of dying and had less kidney/cardiovascular prevention compared to those with T2D. The high mortality risks, substantial kidney-protective treatment inertia and UACR underutilization in stage 3-4 CKD patients all call for an urgent need for improved awareness and risk management, especially in the larger group of non-T2D.

Management of Hypertension in Patients With Diabetic Kidney Disease: Summary of the Joint Association of British Clinical Diabetologists and UK Kidney Association (ABCD-UKKA) Guideline 2021

BackgroundThis nation-wide study describes patients with diagnosed chronic kidney disease (CKD), with and without type 2 diabetes (T2D).MethodsPrevalence, key adverse outcomes, health care costs, and use of kidney-protective treatment, up until December 31st, 2022, were described in patients aged > 18 years in Norway using register-based data. Only diagnosis codes were used to identify patients with CKD, with laboratory measurements of estimated-glomerular filtration rate and albuminuria unavailable. Utilisation of sodium-glucose cotransporter-2 (SGLT-2) inhibitors and renin-angiotensin system [RAS] inhibitors were evaluated in new users following the first Norwegian approval of an SGLT-2 inhibitor for CKD treatment.ResultsApproximately 3% (125,163 patients) of adults in Norway had diagnosed CKD (average age 70 years, 42% women, 73% without T2D). When describing patients with or without T2D, history of heart failure (22% versus 22%), atherosclerotic cardiovascular disease (ASCVD; 57% versus 51%), and atrial fibrillation (24% versus 27%) were similar. Larger proportions of those with T2D received SGLT-2 inhibitors (24% versus 4%) and/or RAS inhibitors (63% versus 47%). Hospitalisations for CKD (28.1 versus 22.1 events per 100 patient years), heart failure (12.6 versus 9.8), myocardial infarction (3.9 versus 2.2), and stroke (3.2 versus 2.3) were more common in patients with CKD and T2D than those without T2D. However, mortality (10.8 versus 8.5) was higher in patients without T2D. CKD and heart failure costs were higher than those for ASCVD, and generally higher in patients with T2D. SGLT-2 inhibitor utilisation increased two-fold the year after its approval but was still low, used mostly at its highest target dose. Discontinuation rates were lower with SGLT-2 inhibitors than with RAS inhibitors, the latter mostly utilised at low doses.ConclusionsA CKD diagnosis was associated with substantial morbidity and mortality, costs, and undertreatment, both in patients with and without T2D. Use of novel kidney-protective treatment has increased, but an urgent need to improve the utilisation of kidney-protective medications remains, particularly in patients without T2D.Clinical trial numberNot applicable.Supplementary InformationThe online version contains supplementary material available at 10.1186/s12882-025-04171-7.

PMU12 Cost-Benefit Analysis of Sodium Glucose Cotransporter-2 Inhibitor Use for Patients <65 Years with Type 2 Diabetes and Heart Failure with Reduced Ejection Fraction

Chronic kidney disease (CKD) and heart failure (HF) are the first and most frequent, and life-threatening comorbidities in type 2 diabetes (T2D) patients. Early intervention is important to prevent CKD and HF onset and to improve prognosis of these patients; however, the risk assessment of CKD and HF remains to be established. We aimed to build a machine learning model to predict the risk of CKD or HF onset in the early-stage T2D patients without a history of CKD or cardiovascular diseases (CVD) . We developed prediction models using light gradient boosting machine (LightGBM) , neural network, logistic regression, and Cox proportional hazards model. The model was derived and validated in a sample of 217,054 T2D patients aged ≥18 years without a history of CKD or CVD extracted from a Japanese hospital-based administrative claims data. The outcomes used for the prediction model were diagnosis of incident CKD or HF and hospitalization for CKD or HF in 1, 2, 3, and 5 years. Based on the importance, 60 characteristics and laboratory data were selected and used for models. LightGBM outperformed other models in all outcomes, with AUROCs 0.777 for diagnosis of incident CKD or HF, and 0.785 for hospitalization for CKD or HF in 5years. (Figure) The present study demonstrated successful development of prediction algorithms to support identifying T2D patients with high-risk of CKD or HF onset, which will contribute to improvement of patient prognosis. Disclosure H. Tsubota: Employee; AstraZeneca. A. Suzuki: Research Support; Chugai Pharmaceutical Co., Ltd., Ono Pharmaceutical Co., Ltd., Taisho Pharmaceutical Holdings Co., Ltd., Takeda Pharmaceutical Company Limited. Speaker's Bureau; Amgen K.K., Eli Lilly and Company, Novo Nordisk A/S. M. Makino: None. E. Kanda: None. T. Yajima: Employee; AstraZeneca. Y. Kidani: Employee; AstraZeneca. N. Morita: Employee; AstraZeneca.

Chronic Liver Disease (CLD) is associated with an increased risk of chronic kidney disease (CKD). However, the health care burden of CKD in the CLD spectrum is unknown. We aimed to evaluate the health care use and cost burdens associated with CKD in patients with CLD in the United States by using real‐world claims data. We analyzed data from the Truven Health MarketScan Commercial Claims database from 2010 to 2015. A total of 19,664 patients with CLD with or without comorbid CKD were identified using International Classification of Diseases, Ninth Revision, codes and matched 1:1 by sociodemographic characteristics and comorbidities using propensity scores. Total and service‐specific unadjusted and adjusted health care parameters were analyzed for the 12 months following an index date selected at random to capture whole disease burdens. In CLD, comorbid CKD was associated with a higher annual number of claims per person (CKD vs. no CKD, 69 vs. 55) and higher total annual median health care costs (CKD vs. no CKD, $21,397 vs. $16,995). A subanalysis stratified by CKD category showed that health care use and cost burden in CLD increased with disease stage, with a peak 12‐month median cost difference of $77,859 in patients on dialysis. The adjusted per person annual health care cost was higher for CKD cases compared to controls ($35,793 vs. $24,048, respectively; P < 0.0001). Stratified by the type of CLD, the highest between‐group adjusted cost differences were for cirrhosis, viral hepatitis, hemochromatosis, and nonalcoholic fatty liver disease. Conclusion: CKD is a cost multiplier in CLD. The CKD health care burden in liver disease differs by the type of CLD. Improved CKD screening and proactive treatment interventions for at‐risk patients can limit the excess burden associated with CKD in patients with CLD.

Definition and Classification of CKD: The Debate Should Be About Patient Prognosis—A Position Statement From KDOQI and KDIGO

IntroductionAnemia is a common comorbidity of chronic kidney disease (CKD) that has been associated with increased risk of complications, healthcare expenditure, and reduced quality of life. In China, the treatment of anemia of CKD has been reported to be suboptimal in part because of a lack of awareness of the condition and its management. It is therefore important to raise awareness of the condition by estimating the future health and economic burden of anemia of CKD and also to understand how it may be addressed through proactive policies. This study aims to project the health and economic burden of anemia of CKD, in China, from 2023 to 2027 and to estimate the impact of a hypothetical intervention on related clinical and cost outcomes.MethodsA virtual Chinese population was simulated using demographic, clinical, and economic statistics within a validated CKD microsimulation model. Each individual was assigned a CKD stage, anemia stage, comorbidity status (type 2 diabetes, hypertension), complication status (stroke, heart failure, and/or myocardial infarction), and a probability of receiving treatments and therapies. Annual direct healthcare costs were assigned and based on these factors. The hypothetical intervention reduced the prevalence of moderate and severe anemia by 5% annually. This hypothetical scenario was chosen to highlight the impact of implementing policies that could reduce anemia of CKD, and is aligned with the Healthy China 2030 policy, which aims to reduce mortality from noncommunicable diseases by 30%. Interventions could consist of early screening and intervention to reduce the escalation of anemia from mild to moderate or severe. Results were compared with a baseline “no change” scenario which reflects current trends.ResultsThe number of patients with moderate/severe anemia of CKD was projected to increase from 3.0 to 3.2 million patients, with associated costs increasing from ¥22.0 billion (B) to ¥24.4B between 2023 and 2027, respectively. Compared with the no change scenario, the hypothetical intervention reduced the prevalence of moderate and severe anemia of CKD, saving ¥3.9B in healthcare costs in 2027 (¥24.4B vs ¥20.6B, respectively).ConclusionsConsistent with trends in CKD burden in China, the prevalence of anemia of CKD is projected to increase, leading to greater related healthcare costs. The introduction of healthcare interventions designed to screen for and treat anemia more effectively could therefore reduce its future burden and related costs.Supplementary InformationThe online version contains supplementary material available at 10.1007/s12325-024-02863-4.

BACKGROUND: Chronic kidney disease (CKD) is one of the most common complications of type 2 diabetes mellitus (T2D) and results in considerable economic burden. Current studies describing cost and health care resource utilization (HCRU) in T2D patients with CKD in real-world data are few. Even more scarce is evidence that takes into account disease severity and other comorbidities. OBJECTIVES: To (a) describe T2D patients with CKD identified in U.S. administrative claims data using laboratory test results for kidney function that are considered the gold standard criteria for kidney disease diagnosis and (b) estimate the annual HCRU and costs among these patients, overall and by disease severity and comorbidity subgroup. METHODS: Optum CDM data between the years 2008 and 2017 were used to identify T2D patients with newly recognized CKD, using laboratory test results for estimated glomerular filtration rate (eGFR) or urine albumin-to-creatinine ratio (UACR). The study estimated annualized total, inpatient, outpatient, and pharmacy costs and the number of outpatient, inpatient, and emergency room visits in the first year after CKD identification. Analyses were stratified by prevalent anemia, heart failure (HF), resistant hypertension, and by CKD stages. RESULTS: T2D patients with newly recognized CKD (n = 106,369) had a high prevalence of cardiovascular comorbidities and incurred on average $24,029 of total cost per person per year in the first year after CKD identification. Patients with HF and anemia incurred on average $41,951 and $31,127 of total annual cost, respectively. Patients identified at stage 5 CKD incurred on average $110,210 of total annual cost and had roughly a 7-fold higher annual inpatient hospitalization rate compared with patients identified at stage 1 CKD. CONCLUSIONS: Administrative claims data linked to laboratory results provide an opportunity to identify CKD patients using the gold standard criteria from clinical practice, minimizing potential misclassification of patients. Identified CKD patients, particularly those with HF, anemia, and more advanced CKD stage, incur high HCRU and cost. Better monitoring, earlier CKD diagnosis, and interventions that are effective in halting or slowing the progression of CKD, as well as at managing comorbid conditions, could be effective means to reduce the economic burden of CKD in T2D. DISCLOSURES: This study was funded by Bayer. Kelly is an employee of, and owns stock options in, Aetion, which was contracted by Bayer to conduct the study. Petruski-Ivleva was an employee of Aetion during the planning, analysis, and interpretation stages of the study. Kovesdy received honoraria from Amgen, Astra Zeneca, Bayer, Cara Therapeutics, Reata, Takeda, and Tricida. Fried received consultant fees from Bayer, Novo Nordisk, and Bristol-Meyers Squibb. Folkerts, Blankenburg, and Gay are Bayer employees. This work was presented as a poster at the annual European Association for the Study of Diabetes (EASD) conference held in Barcelona, Spain, on September 16-20, 2019.

Background: Early chronic kidney disease (CKD) diagnosis in patients with type 2 diabetes (T2D) followed by guideline-recommended interventions are key to slowing CKD progression, but adherence to screening recommendations is suboptimal. Inside CKD models the global clinical and economic burden of CKD using country-specific, patient-level microsimulation models. We model the effects of targeted implementation of urine albumin:creatinine ratio (UACR) measurement and intervention in patients with T2D.Methods: We used the Inside CKD microsimulation to model the impact of measuring UACR during routine primary care visits with subsequent intervention in patients with T2D aged ≥45 years, versus current practice. Virtual populations were constructed using published country-specific data on demographics, CKD, T2D, comorbidities and complications.Results: Preliminary data for three countries show that in 2020-2025, measurement of UACR in patients with T2D would prevent CKD progression to stages 3b-5 in 80 000 patients in the UK, 350 000 in the US and 70 000 in Canada (Figure). Associated cost savings would be £90M, $5B and C$1.7B. More countries will be analysed.Conclusion: Preliminary data show that routine UACR measurement with subsequent intervention could potentially reduce the global burden of CKD and healthcare costs in patients with T2D, and improve outcomes.View largeDownload slideView largeDownload slide DisclosureS. T. Nolan: Employee; Self; AstraZeneca, Employee; Spouse/Partner; Biomarin, Stock/Shareholder; Self; AstraZeneca, Stock/Shareholder; Spouse/Partner; Biomarin. J. Sanchez: Employee; Self; AstraZeneca, Stock/Shareholder; Self; AstraZeneca. J. Halimi: None. E. Kanda: Speaker’s Bureau; Self; AstraZeneca K. K. G. Li: None. F. Mennini: None. J. Navarro-gonzalez: None. A. Power: Advisory Panel; Self; AstraZeneca, Bayer U. S., Napp Pharmaceuticals, Vifor Pharma Management Ltd., Consultant; Self; AstraZeneca, Speaker’s Bureau; Self; Alexion Pharmaceuticals, Inc., AstraZeneca, Napp Pharmaceuticals, Vifor Pharma Management Ltd. L. Retat: Employee; Self; HealthLumen. N. Tangri: Consultant; Self; AstraZeneca, Boehringer Ingelheim (Canada) Ltd., ClinPredict Inc, Eli Lilly and Company, Mesentech, Otsuka America Pharmaceutical, Inc., PulseData, Roche Pharma, Tricida, Inc., Research Support; Self; Janssen Pharmaceuticals, Inc. L. Webber: Employee; Self; HealthLumen. A. Sultan: Employee; Self; AstraZeneca, Stock/Shareholder; Self; AstraZeneca. J. Wish: Advisory Panel; Self; Akebia Therapeutics, Inc., AstraZeneca, Rockwell Medical, Vifor Pharma Management Ltd., Speaker’s Bureau; Self; Akebia Therapeutics, Inc., AstraZeneca. M. Xu: Employee; Self; HealthLumen. J. Ärnlöv: Advisory Panel; Self; AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc., Other Relationship; Self; Novartis AG. M. C. Batista: None. C. Cabrera: Employee; Self; AstraZeneca, Stock/Shareholder; Self; AstraZeneca. J. Card-gowers: Employee; Self; HealthLumen. S. Chadban: Advisory Panel; Self; Astellas Pharma Inc., AstraZeneca, Novartis Pharmaceuticals Corporation. G. M. Chertow: Advisory Panel; Self; Ardelyx, Baxter, Cricket Health, DURECT Corporation, Gilead Sciences, Inc., Reata Pharmaceuticals, Inc., Other Relationship; Self; Akebia Therapeutics, Inc., AstraZeneca, Vertex Pharmaceuticals Incorporated. L. Denicola: Consultant; Self; AstraZeneca, Mundipharma International, Novo Nordisk.FundingAstraZeneca

Concern over rising health care costs has put pressure on providers to reduce costs, purportedly by reducing inpatient care and increasing outpatient care. Inpatient and outpatient claims were analyzed for adult users of mental health services (180,000/year on average) from a national study group of 3.9 million privately insured individuals per year from 1993 to 1995. Costs and treatment days per patient were compared across diagnostic groups and stratified by whether patients were hospitalized. Inpatient mental health costs fell $2,507 (30.4%) over the period, driven primarily by decreases in hospital days per patient per year (19.9%), with smaller changes in the proportion of enrollees who received inpatient care (increase of 0.8%) and a decrease in per diem costs (9.1%). Outpatient mental health costs also declined over the period, falling 13.6% for patients also using inpatient services and 14.6% for patients receiving only outpatient care. Patients whose primary diagnosis was mild to moderate depression saw the largest decreases in inpatient cost per patient (42.8%); those diagnosed with schizophrenia experienced the smallest decrease (23.5%). For patients using outpatient services only, those diagnosed with substance abuse experienced the largest decrease in costs (23.5%); those diagnosed with schizophrenia experienced the smallest decrease (8.6%). Substantial cost reductions for mental health services are primarily a result of reductions in inpatient and outpatient treatment days. Declines in inpatient service use were not accompanied by increases in outpatient service use, even for severely ill patients requiring hospitalization. Managed care has not caused a shift in the pattern of care but an overall reduction of care.