scholarly journals Adherence to Iron Chelation Therapy and associated Healthcare resource Utilization and costs in Medicaid Patients with Thalassemia

2015 ◽  
Vol 18 (3) ◽  
pp. A296
Author(s):  
F. Vekeman ◽  
M. Sasane ◽  
W.Y. Cheng ◽  
R.V. Agnihotram ◽  
J. Fortier ◽  
...  
Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 2106-2106
Author(s):  
Lanetta B Jordan ◽  
Patricia Adams-Graves ◽  
Julie Kanter-Washko ◽  
Patricia Ann Oneal ◽  
Francis Vekeman ◽  
...  

Abstract Abstract 2106 Introduction: Over the past few decades, lifespans of sickle cell disease (SCD) patients have increased; hence, they encounter multiple complications. Early detection, appropriate comprehensive care, and treatment may prevent or delay onset of complications. There is a gap in the literature describing the SCD complication rates, blood transfusion patterns, iron chelation therapy (ICT) use, and associated resource utilization in SCD patients ≥16 years old. This study contributes to addressing this gap. Method: Medical records of 254 SCD patients ≥ 16 were retrospectively reviewed between August 2011 and July 2012 at three US tertiary care centers (University of Tennessee: 117; Tulane University: 72; Howard University: 65). Data were collected from patient's first visit after age 16 (index date) until the earliest indication of death, loss to follow-up, or last patient record on file prior to the centers' IRB submission dates. Patients were classified into one of three cohorts based on cumulative units of blood transfused and history of ICT: <15 units of blood and no ICT (minimally transfused, Cohort 1 [C1]), ≥15 units of blood and no ICT (Cohort 2 [C2]), and ≥15 units of blood and receiving ICT (Cohort 3 [C3]). SCD complication rates were expressed as the number of SCD complications recorded from patient charts per patient per year (PPPY) and compared among cohorts using rate ratios (RRs). Results: Cohorts 1, 2, and 3 consisted of 69, 91, and 94 patients, respectively. Mean (range) age at index date was similar across cohorts (27 yrs [16–65]) and all patients were African American. Mean length of observation was shorter among patients in C1 (yrs, C1: 6.6; C2: 8.2; C3: 8.1). Post index date, patients in C1 received an average of 1 unit of blood PPPY (p<0.001 vs. C2 and C3), whereas patients in C2 and C3 received an average of 10 and 15 units PPPY (p=0.112), respectively. Among patients with serum ferritin (SF) assessment within 60 days before ICT (n=57), mean (median) SF level was 4,881 ng/mL (4,040). Across all three cohorts, the most common SCD complication was acute pain crisis (69.8%), followed by infection/sepsis (5.1%), leg ulcers (2.9%), and avascular necrosis (2.3%). The rate (95% CI) of any SCD complications was the highest in C2 at 3.02 PPPY (2.89–3.14), followed by 2.26 PPPY (2.16–2.37) in C3, and 1.66 PPPY (1.54–1.77) in C1 (Table 1). Among transfused patients (C2+C3), those receiving ICT were less likely to experience SCD complications than those who did not (RR [95% CI] C2 vs. C3: 1.33 [1.25–1.42]). Similar trends (RR [95% CI]) were observed in emergency room (ER) visits and hospitalizations associated with SCD complications (C2 vs. C3, ER: 1.94 [1.70–2.21]; hospitalizations: 1.61 [1.45–1.78]), but not in outpatient visits. Conclusion: Results from this study highlight the significant burden of complications and the associated healthcare resource utilization for SCD patients. The results suggest that among regularly transfused patients, those who received ICT were less likely to experience complications than those without ICT. However, transfusions are not necessary for all patients with SCD and patients with more complications may have started transfusion therapy earlier. Patients receiving ICT may also receive closer monitoring, which may help with early identification and intervention to delay or prevent the development of complications and improve outcomes. Disclosures: Jordan: Novartis Pharmaceuticals Corporation: Consultancy, Speakers Bureau. Oneal:Novartis Pharmaceuticals Corporation: Honoraria. Vekeman:Novartis Pharmaceuticals: Research Funding. Bieri:Novartis Pharmaceuticals Corporation: Research Funding. Sasane:Novartis Pharmaceuticals: Employment. Marcellari:Novartis Pharmaceuticals Corporation: Employment. Magestro:Novartis Pharmaceuticals: Employment. Gorn:Novartis Pharmaceuticals Corporation: Research Funding. Duh:Novartis Pharmaceuticals: Research Funding.


2015 ◽  
Vol 56 (10) ◽  
pp. 2803-2811
Author(s):  
Francis Vekeman ◽  
Wendy Y. Cheng ◽  
Medha Sasane ◽  
Lynn Huynh ◽  
Mei Sheng Duh ◽  
...  

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2177-2177
Author(s):  
Francis Vekeman ◽  
Medha Sasane ◽  
Wendy Y Cheng ◽  
Agnihotram V Ramanakumar ◽  
Jonathan Fortier ◽  
...  

Abstract Introduction: While adherence to iron chelation therapy (ICT) is critical for successful iron overload (IO) treatment among patients with sickle cell disease (SCD), published data indicate it is often suboptimal. Deferoxamine (DFO) and Deferasirox (DFX) are ICTs indicated for the treatment of chronic IO in patients with SCD. Lack of patient adherence may impact patient outcomes and increase cost of care. This study evaluated the economic burden of ICT non-adherence in patients with SCD from the state Medicaid program’s perspective. Methods: Patients with SCD were identified from Florida, Iowa, Kansas, Mississippi, Missouri, and New Jersey (1997-2013) state Medicaid programs. Patients were required to have ≥1 ICD-9 diagnosis code for SCD (282.6), ≥1 prescription for DFO or DFX, and ≥6 months of continuous enrollment prior to the 1st DFO/DFX prescription (index date), which was defined as the baseline period. Adherence was estimated using the medication possession ratio (MPR), defined as the sum of the days of medication supply divided by the number of days between 1st and last prescription fill plus the days of supply of the last fill; a threshold of ≥0.80 was used to define optimal adherence. All-cause and SCD-specific resource utilization per-patient-per-month (PPPM) was assessed using cumulative rates, accounting for all visits observed, and compared between adherent and non-adherent patients using cumulative rate ratios (CRR). All-cause and SCD-specific healthcare costs were computed using mean cost PPPM. Regression models adjusting for baseline characteristics were used to assess resource utilization and cost differences between adherent and non-adherent patients. Results: A total of 846 eligible patients with SCD were included with 77 in DFO-only, 686 in DFX-only), and 83 in DFO/DFX switch cohort. Mean (SD) MPR was 0.68 (0.27) for DFO-only patients and 0.75 (0.26) for DFX-only patients (p<0.05). Among all users of ICT, 409 (48.3%) were considered adherent. Adherent patients were slightly younger (19 vs. 21 years, p=0.003) than non-adherent patients. Rates of transfusions were comparable between the two groups (mean [SD] transfusions PPPM, adherent: 0.41 [0.47]; non-adherent: 0.40 [0.54], p=0.456) at baseline. The adjusted rate of all-cause IP visits PPPM was lower in adherent versus non-adherent patients (CRR=0.87 [95% CI: 0.83, 0.91]; p<0.001). The adjusted rates of all-cause outpatient (OP) visits (1.10 [1.08, 1.13], p<0.001) and ER visits (1.06 [1.01, 1.10], p=0.010) PPPM of adherent patients were higher in adherent patients than those in non-adherent patients. A similar trend was observed in SCD-specific resource utilization except for rates of ER visits, which were similar between cohorts. From cost perspective, total all-cause and SCD-specific costs were lower in adherent versus non-adherent patients primarily due to lower IP costs (Table 1). SCD-specific ER and OP costs were similar in both cohorts. All-cause pharmacy costs were higher in adherent versus non-adherent patients. Conclusion: Published studies have reported low adherence to ICT, and a similar trend was found in this study. Adherent patients were observed to have less frequent hospitalizations and lower overall and SCD-specific IP costs compared to non-adherent patients. It should be noted that the rate of OP visits was higher in the adherent patients compared to non-adherent patients suggesting that adherent patients may be more closely monitored potentially resulting in better overall patient management and fewer hospitalizations. Additional analyses are needed to explore differences between adherent and non-adherent patients. Table 1 Costs PPPM Adherent patients (N=409) [A] Non-adherent patients (N=437) [B] Adjusted cost difference[A] – [B] P -value All-cause, mean [SD] $4,766 [$4,388] $5,304 [$4,725] -$724 0.072 Inpatient $1,911 [$3,647] $2,996 [$4,439] -$947 0.016 Emergency room $27 [$87] $40 [$88] -$203 0.104 Outpatient $580 [$697] $485 [$617] $49 0.500 Pharmacy $2,248 [$1,949] $1,783 [$1,449] $432 0.004 Pharmacy without ICT $215 [$482] $274 [$544] -$50 0.192 SCD-specific, mean [SD] $2,237 [$3,679] $3,116 [$4,301] -$952 0.0160 Inpatient $1,776 [$3,546] $2,782 [$4,268] -$855 0.0160 Emergency room $18 [$63] $28 [$69] -$199 0.1200 Outpatient $443 [$658] $306 [$548] $105 0.1120 Disclosures Vekeman: Novartis Pharmaceuticals: Research Funding. Sasane:Novartis Pharmaceuticals: Employment. Cheng:Novartis Pharmaceuticals: Research Funding. Ramanakumar:Novartis Pharmaceuticals: Research Funding. Fortier:Novartis Pharmaceuticals: Research Funding. Duh:Novartis Pharmaceuticals: Research Funding. Paley:Novartis Pharma: Employment. Adams-Graves:Novartis Pharmaceuticals: Consultancy, Honoraria, Speakers Bureau.


2021 ◽  
Author(s):  
Saaya Tsutsué ◽  
Takahiro Suzuki ◽  
Hyojin Kim ◽  
Bruce Crawford

Aim: To describe the treatment landscape and associated economic burden for myelodysplastic syndrome in Japan. Methods: We studied nationwide retrospective claims data from 2008 to 2019. The study cohort was categorized into patients receiving transfusion, erythropoiesis-stimulating agent, erythropoiesis-stimulating agent + transfusion, azacitidine, azacitidine + transfusion and others. Results: Our study found that the azacitidine + transfusion group had the highest medical cost and severity of disease compared with the other groups. In those patients, healthcare resource utilization and the costs of transfusions, including iron chelation therapy, increased medical costs. Conclusion: Our retrospective analysis provides a current snapshot of real-world treatment patterns and associated incremental economic costs of iron chelation therapy with the presence of transfusions that drive an increase in total costs.


1983 ◽  
Vol 3 (2) ◽  
pp. 99-101 ◽  
Author(s):  
Glen H Stanbaugh ◽  
A. W, Holmes Diane Gillit ◽  
George W. Reichel ◽  
Mark Stranz

A patient with end-stage renal disease on CAPD, and with massive iron overload is reported. This patient had evidence of myocardial and hepatic damage probably as a result of iron overload. Treatment with desferoxamine resulted in removal of iron in the peritoneal dialysate. On the basis of preliminary studies in this patient it would appear that removal of iron by peritoneal dialysis in conjunction with chelation therapy is safe and effective. This finding should have wide-ranging signficance for patients with ESRD.


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