Global Burden of Disease Study 2021 (GBD 2021) - Nonfatal Health Outcomes 13 (Pancreatitis - Premenstrual syndrome)

Pancreatitis

• 1. Nonfatal health outcome estimation for pancreatitis, acute episodes
  • Age-pattern analysis
  • Age-sex splitting
  • MR-BRT bias correction analysis for altenrative case definition/method
  • MR-BRT sex ratio analysis
  • Comorbidity correction (COMO)
  • Dismod-MR 2.1
  • Meta-analysis
  • Severity splits
  • Adjustment from primary code to all code based on claims data
• 2. Nonfatal health outcome estimation for chronic pancreatitis
  • Age-pattern analysis
  • Age-sex splitting
  • Model excess mortality in MR-BRT
  • MR-BRT bias correction analysis for altenrative case definition/method
  • MR-BRT sex ratio analysis
  • Comorbidity correction (COMO)
  • DisMod-MR 2.1
  • Meta-analysis
  • Severity splits
  • Adjustment from primary code to all code based on claims data

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Paralytic ileus and intestinal obstruction

• Model excess mortality in MR-BRT
• MR-BRT bias correction analysis for altenrative case definition/method
• Comorbidity correction (COMO)
• DisMod-MR 2.1
• Adjustment from primary code to all code for both inpatient and outpatient encounters based on claims data

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Parkinson Disease

• Age-pattern analysis
• Age-sex splitting and location splitting
• MR-BRT bias correction analysis for Alternative Case Defintion / Method
• EMR regression using countries with highest CSMR to prevalence ratios
• Select countries with the highest CSMR\ prevalence ratios
• Meta-analysis of % mild, moderate, severe Parkinson's
• CODEm (model 1)
• CODEm (model 2)
• Comorbidity correction (COMO)
• Dismod-MR 2.1 (model 1)
• Dismod-MR 2.1 (model 2)
• Dismod-MR 2.1 (model 3)
• Garbage code redistribution
• ICD mapping
• Noise reduction
• Severity splits
• Standardize input data
• Multiple Cause of Death data analysis
• Parkinson's disease redistribution

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Pelvic Inflammatory Disease

• Dismod MR-2.1
• Severity Splits
• Comorbidity correction (COMO)
• Adjustment from primary code to all code for both inpatient and outpatient encounters based on claims data

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Peptic Ulcer Disease

• 1. Nonfatal health outcome estimation
  • Format codes, Map to modeling causes
  • Convert claims to cases, Apply duration window, Apply age and sex restrictions, Aggregate
  • Calculate 3 correction factors
  • Convert inpatient encounters to incident or prevalent cases (+/- Adjust: primary dx -> any inpatient -> any), Apply age and sex restrictions, Aggregate
  • Model excess mortality in MR-BRT
  • DisMod-MR 2.1
  • Comorbidity correction (COMO)
• 1. Nonfatal health outcomes estimation
  • Bias adjustment for non-reference data collection in MR-BRT
• 2. Anemia estimation
  • Anemia causal attribution
• 3. Severity and anemia split
  • Proportion split
  • Subtract complicated and acute
  • Split 5 outcomes by 4 anemia proportions

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Peripheral Arterial Disease

• Age sex splitting, bias adjustment
• Age sex splitting
• Split overall prevalence by proportion
• Comorbidity correction (COMO)
• Disability weights for each sequela
• DisMod-MR 2.1

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Pertussis

• Age & sex splitting (based on cause of death data)
• Assume all pertussis cases are moderate infections
• Mixed effects regression
• Covid impacts
• Prevalence = incidence * duration
• Comorbidity correction (COMO)

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Pneumoconiosis

• Geographic exclusions
• Computing excess mortality
• Meta-analysis of mild, moderate, severe
• Severity splits
• Comorbidity correction (COMO)
• DisMod-MR 2.1

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Polycystic ovarian syndrome

• Data Adjustments: MR-BRT Crosswalks
• Age-split
• Comorbidity correction (COMO)
• Dismod-MR 2.1
• Meta-analysis of % mild, moderate, severe PCOS
• Severity splits

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Polycystic ovarian syndrome: Nonfatal Health Outcome Estimation

• Adjustment from primary code to all code based on Claims data

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Premenstrual syndrome

• Pregnancy adjustment
• Age-split
• Data Adjustment: MR-BRT crosswalks
• Comorbidity correction (COMO)
• Dismod-MR 2.1
• Adjustment from primary code to all code based on Claims data

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