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Table 1 Base case inputs, ranges for sensitivity analysis, and sources

From: Cost-effectiveness of cerebrospinal biomarkers for the diagnosis of Alzheimer’s disease

Parameter

Base case

Low value

High value

Source [reference]

Patient population

  Start age, years

65

55

75

[4]

 Initial AD severity distribution (%)

  Mild

70

0.5400

0.783

[67]

  Moderate

28

0.1850

0.427

[67]

  Severe

2

0.0170

0.033

[67]

Diagnosis

 Diagnostic test accuracy

  Status quo: clinical assessment plus MR neuroimaging (CA + MR)

   Sensitivity (SNMR)

0.54

0.46

0.62

[13]

   Specificity (SPMR)

0.84

0.79

0.89

[13]

  Revised criteria: clinical assessment plus MR neuroimaging and/or biomarker analysis

   Sensitivity (SNMR+BM)

0.86

0.80

0.92

[13]

   Specificity (SPMR+BM)

0.79

0.74

0.84

[13]

  Diagnostic accuracy of CSF biomarkers in patients with no medial temporal lobe atrophy on MRI

   Sensitivity (SNBM|MR−)

0.698

0.54

0.86

Calculateda

   Specificity (SPBM|MR−)

0.941

0.89

0.98

Calculateda

 Biomarker analysis

   

(see Methods)

  Cost

463

250

600

[50]

  QALY toll

−0.008

0

−0.02

[19, 57]

AD natural history model

 Mortality

  Age-specific mortality due to causes other than AD

Annual mortality rate = 3.53e0.0909×Age

Estimatedb [53, 68]

  HRs for AD-specific mortality

   Mild

2.92

2.34

3.52

[29]

   Moderate

3.85

2.94

5.05

[29]

   Severe

9.52

6.60

13.4

[29]

 Disease progression without AD treatment (annual rate per 100,000)

  From mild

   To moderate

27,710

24,939

30,481

[25, 31]

   To severe

1385

1247

1524

[25, 31]

  From moderate

   To mild

4478

4030

4925

[25, 31]

   To severe

31,829

28,647

35,012

[25, 31]

  From severe

   To mild

385

347

424

[25, 31]

   To moderate

5332

4799

5865

[25, 31]

 Transition to long-term care facility (annual rate per 100,000)

  From mild

2110

500

4000

[31, 43, 44]

  From moderate

6957

1500

8000

[31, 43, 44]

  From severe

11,747

2500

15,000

[31, 43, 44]

AD treatment

 Treatment uptake and adherence

  Treatment initiation

   Donepezil, at diagnosis

0.45

0.27

0.56

[37, 39, 41]

   Memantine, at transition to severe AD

0.36

0.22

0.45

[38]

  Treatment discontinuation (annual rate per 100,000)

  

   Donepezil, community dwelling

28,768

10,536

35,667

[36]

   Donepezil, long-term care facility dwelling

62,362

51,083

69,315

[42]

   Memantine

30,111

12,783

44,629

[6]

  Treatment reinitiation after quitting (annual rate per 100,000)

  

   Donepezil

33,142

23,105

40,132

[38]

   Memantine

22,314

17,834

25,541

[6]

 Treatment effectiveness

  Donepezil HRs

   Transition from mild to moderate

0.5

0.253

0.989

[25]

   Transition from moderate to mild

2.36

0.802

6.95

[25]

   Transition from community to long-term care facility

0.37

0.2

0.5

[43]

  Memantine

   Incremental utility (annualized)

0.051

0

0.1

[7]

   HR, transition from community to long-term care facility

0.37

0.2

0.5

Assumed same as donepezil

Costs (US$)

 Age-specific baseline costs

Annual costs = 893e0.0404×Age

Estimated (see Methods)

  45–64 years

5499

4000

8000

[51]

  65–84 years

12,336

11,000

16,000

[51]

  >84 years

27,674

25,000

34,000

[51]

 Annual incremental costs by disease severity (including costs of informal caregiving)

  Community dwelling

    

   Patients without AD

24,128

17,369

30,369

Assumed the same as Mild AD

   Mild AD

24,128

17,369

30,369

(see Additional file 1)

   Moderate AD

33,845

25,000

40,000

(see Additional file 1)

   Severe AD

60,160

50,000

69,000

(see Additional file 1)

  Long-term care facility dwelling

   Facility cost

83,950

70,000

95,000

[52]

   Patients without AD

9872

7000

12,000

Assumed the same as Mild AD

   Mild AD

9872

7000

12,000

(see Additional file 1)

   Moderate AD

9872

7000

12,000

(see Additional file 1)

   Severe AD

9847

7000

12,000

(see Additional file 1)

 Medication (annual)

   Donepezil, 10 mg/day

2473

2000

4288

[69]

   Memantine, 10 mg/day

3192

2500

5957

[69]

 Age-specific annual health care costs in the year of death

   <90 years

35,158

32,000

39,500

[70]

   >90 years

25,455

22,000

28,000

[70]

Utilities

 Age-specific weights

   

[54, 55]

  60–64 years

0.83

0.822

0.835

 

  65–69 years

0.82

0.820

0.826

 

  70–74 years

0.81

0.803

0.818

 

  75–79 years

0.79

0.786

0.794

 

  >79 years

0.74

0.730

0.742

 

 Health state-specific weights

  Community dwelling

   Patients without AD

0.68

0.52

0.80

Assumed same as mild AD

   Mild AD

0.68

0.52

0.80

[25]

   Moderate AD

0.54

0.30

0.70

[25]

   Severe AD

0.37

0.25

0.50

[25]

  Long-term care facility dwelling

    

   Patients without AD

0.71

0.55

0.80

Assumed same as mild AD

   Mild AD

0.71

0.55

0.80

[25]

   Moderate AD

0.48

0.30

0.60

[25]

   Severe AD

0.31

0.20

0.45

[25]

  1. Abbreviations: AD Alzheimer’s disease, BM Biomarker, CA Clinical assessment, CSF Cerebrospinal fluid, MR Magnetic resonance, MRI Magnetic resonance imaging, QALY Quality-adjusted life-year, SN Sensitivity, SP Specificity
  2. aThe sensitivity of biomarker analysis in patients without abnormal medial temporal lobe atrophy on MRI (SNBM|MR-) was calculated using the sensitivity of the revised criteria (in which patients are diagnosed with AD if they have abnormal findings on MRI or abnormal biomarkers, denoted SNMR+BM) and the sensitivity of clinical assessment and MRI alone (SNMR) using the formula: SNMR+BM = SNMR + (1 − SNMR) × SNBM|MR−.The specificity of biomarker analysis in patients without abnormal medial temporal lobe atrophy on MRI (SPBM|MR−) was calculated using the specificity of the revised criteria (SPMR+BM) and the specificity of clinical assessment and MRI alone (SPMR) using the formula: SPMR+BM = SPMR × SPBM|MR−
  3. bTo avoid double-counting the deaths caused by AD, the age-specific mortality rate due to AD was subtracted from the all-cause mortality rate using an excess mortality model. The resulting “other-cause” age-specific mortality rate was smoothed using an exponential fit