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Table 1 Model inputs to estimate health outcomes of infections associated with active injection drug use in the United Statesa

From: A multimorbidity model for estimating health outcomes from the syndemic of injection drug use and associated infections in the United States

Parameter

Estimate

Source

Population

  

 Initial calendar year

2015

b

 Time horizon, months

60

b

 Proportion female (%)

32.5

[24]

 Initial age, mean years (SD)

30 (2.5)

b

Drug Use Behavior

  

 Initial Opioid Use Proportion (%)

 

[24]

  Low-risk state

62.9

 

  Medium-risk state

2.1

 

  OUD

35.0

 

 Monthly Transition Probabilities (%)

  

  Low to Medium

-c

 

  Low to OUD

-c

 

  Medium to OUD

-c

 

  OUD to Remission

2.19

d

  Remission to OUD

5.75

[38]

Serious Bacterial Infections

IDU

Non-IDU

 

 Monthly Transition Probabilities

  

  Bacterial infection incidence (%), varies by calendar year

0.6915–0.8672

0.0262–0.0284

[4]

  Infection proportion (%)

 

[4]

   CNS infection

2.3

0.9

 

   Endocarditis

5.4

1.0

 

   Osteomyelitis

6.3

3.6

 

   Skin/soft tissue infection

86.0

94.6

 

  Cure from bacterial infection (%)

80.9

97.4

[25]

HIV

IDU

Non-IDU

 

 Initial HIV Probabilities

  

  HIV prevalence (%)

3.0

0.4

[26]

  CD4 distribution (%)

 

[10, 27]

   High CD4 (≥ 500 cells/mm3)

30.5

41.0

 

   Medium CD4 (200–499 cells/mm3)

29.9

16.0

 

   Low CD4 (< 200 cells/mm3)

38.6

43.0

 

  Aware of status if HIV positive (%)

92.7

83.5

[26]

  On ART (%)

47.7

57.5

[28]

 Monthly Transition Probabilities

  

  Monthly HIV incidence (%), varies by calendar year

0.0355–0.0382

0.0010–0.0012

[26]

  Aware of status if HIV positive (%)

19.6

14.4

[26]

  Start ART (%)

5.3

6.9

[28]

  Stop ART (%)

1.7

1.0

[28]

  CD4 Transitions (%)

On ART

Off ART

[10]

   High to Medium CD4

1.14

1.24

 

   High to Low CD4

0.01

-

 

   Medium to High CD4

1.61

-

 

   Medium to Low CD4

0.64

7.00

 

   Low to Medium CD4

0.03

-

 

   Low to High CD4

2.66

-

 

HCV

IDU

Non-IDU

 

 Initial HCV Probabilities

  

  HCV prevalence (%)

33.5

1.1

[5, 20]

  Liver fibrosis stage for people starting with HCV (%)

 

[20]

   F0

27.2

 

   F1

33.4

 

   F2

17.1

 

   F3

11.1

 

   F4

9.6

 

   Decompensated cirrhosis

1.4

 

   Hepatocellular carcinoma

0.2

 

 Monthly Transition Probabilities

  

  Monthly HCV incidence (%), varies by calendar year

0.1359–0.2024

0.0002–0.0005

[29]

  % of acute HCV that clear spontaneously

2.4

[35]

  Liver fibrosis transitions (%)

HCV+

HCV-

[20]

   F0 to F1

0.9386

-

 

   F1 to F2

0.7105

-

 

   F2 to F3

1.0316

-

 

   F3 to F4

1.0222

-

 

   F4 to decompensated cirrhosis

0.2449

0.0669

 

   F4 to hepatocellular carcinoma

0.1174

0.0418

 

   Decompensated cirrhosis to hepatocellular carcinoma

0.5851

 

Monthly Mortality Probabilitiese

  

 Background Mortality

Varies by age and sex

[18]

 Drug Use Mortality (%), varies by calendar year

 

[24]

  Low-risk state

0.0052–0.0070

 

  Medium-risk state

0.1057–0.2580

 

  OUD

0.0166–0.0355

 

 Bacterial Infection Mortality (%)

 

[4]

  CNS infection

3.6

 

  Endocarditis

5.8

 

  Osteomyelitis

1.5

 

  Skin/soft tissue infection

1.5

 

 HIV Mortality (%)

On ART

Off ART

[19, 21,22,23]

  High CD4 state

0.0013

0.0033

 

  Medium CD4 state

0.0024

0.0155

 

  Low CD4 state

0.0102

0.1936

 

 HCV Mortality (%)

 

[20]

  Decompensated cirrhosis

1.0

 

  Hepatocellular carcinoma

4.5

 
  1. aActive injection drug use was defined as having injected drugs within the past year
  2. bUser-defined
  3. cData derived from calibration
  4. dUnpublished data from Opioid Policy simulation model
  5. eOverall monthly mortality risks were calculated by converting all relevant mortality probabilities to rates, summing the rates, and then converting the summative rate back to a probability
  6. SD = standard deviation; OUD = opioid use disorder; IDU = injection drug use; CNS = central nervous system