Global Burden of Disease Study 2019 (GBD 2019) - Nonfatal Health Outcomes 6 (Heart failure - Inflammatory bowel disease)

Heart failure

• Adjustment from primary code to all code based on Claims data
• Age-sex splitting and bias adjustments
• Comorbidity correction (COMO)
• Dismod-MR 2.1
• Meta-analysis of % mild, moderate, severe heart failure
• Meta-analysis of % mild, moderate, severe heart failure due to Chagas
• Multiply squeezed proportions by overall prevalence of heart failure not including Chagas, degenerative mitral valve disease, and calcific aortic valve disease
• Proportion splits
• Regression of % mild, moderate, severe heart failure
• Severity splits
• Subtract prevalence of heart failure due to Chagas, DMVD, and CAVD
• Cause of Death\EMR data proportions
• Disability weights for each sequela

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Hemoglobinopathies and hemolytic anemias

• Age-sex splitting
• Generate/apply crosswalks
• Uploading crosswalks
• Produce estimates for hemoglobinopathy traits using Hardy-Weinberg code
• Upload hemog traits created from Hardy-Weinberg
• Pool data across years for other hemoglobinopathies model
• Split parent hemoglobinopathy CODEm model into constituent hemoglobinopthies
• Synthesize locations from Data-Rich hemog models into split models
• Upload final hemog models

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Hemolytic disease and neonatal jaundice

• Rhesus incompatibility
  • DisMod-MR 2.1
  • Calculate Rh negativity proportion
  • Rhogam doses adjustment
  • Not first-born adjustment
• Impairment estimation
  • EHB & kernicterus adjustment (from Rh negativity)
  • EHB & kernicterus adjustment (from g6pd)
  • EHB & kernicterus adjustment (from preterm birth)
  • Calculate proportion of all other births
  • EHB & kernicterus adjustment (from other births)
  • Combine kernicterus prevalence from etiologies
  • SMR to EMR
  • DisMod-MR 2.1
  • MR-BRT model of kernicterus
  • Combine EHB prevalence from etiologies
• YLD estimation
  • Comorbidity correction (COMO)
  • Severity splits

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HIV\AIDS

• 1ab. Generalized epidemics with vital statistics
  • EPP
• 1ab. Generalized epidemics
  • EPPASM
• • On\Off ART models
  • (Preliminary) Spectrum
  • (Final) Spectrum
  • HIV\Mortality Reckoning, ST-GPR substitution
  • Incidence back-calculation
  • Incidence case report comparison
  • HIV prevalence in pregnancy
• 2ab. Concentrated epidemics with vital statistics
  • ST-GPR
  • Cohort Incidence Bias Adjustment

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Hookworm disease

• Dismod-MR 2.1
• Prepare data for ST-GPR
• ST-GPR
• Compute age-specific ratios; apply ratio to ST-GPR output
• Compute proportion of cases that belong to health states
• Apply health state proportions to overall hookworm envelope
• Estimate prevlanece of severe wasting due to hookworm
• Estimate prevalence of asymptomatic hookworm
• Comorbidity Correction
• YLD Calculation

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Hospital Envelope

• Survey microdata
  • Group data into recall bins
  • Separate data with one year recall and proportion data
  • Apply one year recall adjustment
  • Adjust reported proportions to average number of visits or admissions
• Envelope pipeline
  • Separate data disaggregated by age and all age data
  • Apply age-splitting

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Incidence, prevalence, YLD estimation- cancer

• Incidence
  • 1. Combine MI and CoDCorrect draws to calculate incidence
• Prevalence
  • 3. Model survival ~ MIR relationship in SEER
  • 4. Predict survival from MI ratios using SEER models
  • 5. Scale SEER survival curve for each country according to (predicted/SEER) proportion
  • 6. Adjust for background mortality
  • Survival dataset
  • 7. Combine survival data with final incidence estimates for prevalence estimates
• Distribution of total cancer prevalence into 4 sequelae
  • Multiply each death with duration of metastatic\disseminated phase
  • Multiply each death with duration of remission phase
  • Multiply each death with duration of terminal phase
  • Multiply each prevalent case with duration of diagnosis\treatment phase
• • 10. Apply sequela\procedure specific disability weights
  • 12. Procedure YLDs
  • 11. Sum YLDs for each sequela by cancer
• Cancer procedure estimation
  • Calculate proportions of cancer population that undergoes procedure
  • Model procedure proportions in DisMod
  • Combine proportions with incidence estimates
  • Model procedure prevalence in DisMod
  • Distribute procedure prevalence to incontinence and impotence for prostatectomy

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Infertility

• Causal attribution of infertility sequelae
• Comorbidity correction (COMO)
• Dismod-MR 2.1

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Inflammatory bowel disease

• 1. Nonfatal health outcome estimation for IBD due to Ulcerative Colitis (UC)
  • Adjustment for undiagnosed UC
  • Adjustment from primary code to all code based on claims data
  • Age-pattern analysis
  • Age-sex splitting
  • Comorbidity correction (COMO)
  • DisMod-MR 2.1
  • Exclusivity adjustment
  • Meta-analysis
  • MR-BRT bias correction analysis for altenrative case definition/method
  • MR-BRT sex ratio analysis
  • Severity splits
• 2. Nonfatal health outcome estimation for IBD due to Crohn's Disease (CD)
  • Adjustment for undiagnosed CD
  • Adjustment from primary code to all code based on claims data
  • Age-pattern analysis
  • Age-sex splitting
  • Comorbidity correction (COMO)
  • DisMod-MR 2.1
  • Exclusivity adjustment
  • Meta-analysis
  • MR-BRT bias correction analysis for altenrative case definition/method
  • MR-BRT sex ratio analysis
  • Severity splits
• 3. Meta-Analysis
  • Meta-analysis of % undiagnosed as indeterminate colitis
• 4. Anemia estimation
  • Anemia causal attribution

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