Introduction
A breakdown of key data structures used by the API
This section will describe the schema of key objects used for the request and returned in the response by the Health Scoring API as well as ways to present the scores to users.
Request
When sending user data for scoring the key object used will be the Predictors object. This is where you able to specify the predictors and biomarkers for a user. This is specified in the obs_code array in the predictors object. The list of possible biomarkers and predictors that are supported by the API can be found on the next page. We support the use of LOINCs for specifying biomarkers and predictors to be used for scoring (where a mapping is available), as well as our own observation codes.
{
"event_id": "8f3d6bbf-71e9-4eab-970d-902878a4e637",
"data": [
{
"uid_ext": "d4aa4fc5-1ca4-4c22-9453-6c9f6b96a057",
"scoring_asof_dtutc": [
"2025-12-05T09:23:45Z"
],
"product_version": "4.2.0",
"mode": "validate",
"predictors": {
"id": [
"9f3f83a5-5cc4-4012-9451-717bd5d61331",
"a1cae68a-5540-42e8-a8a4-d1b4b6d5dcc2",
"a795e7eb-e756-4d35-bfa8-a96715b25b1c",
"ada8bd35-1b72-4333-a988-33823719aed6",
"434924a0-45a4-4ed0-9669-d4c309722334",
"87373dce-d6fd-4862-ad4e-728cde102dc2"
],
"data_source": [
"survey",
"survey",
"lab",
"user_profile",
"user_profile",
"lab"
],
"obs_code": [
"age_time_pt_^patient_qn_stated",
"body-height_len_pt_^patient_qn_stated",
"body-weight_mass_pt_^patient_qn_stated",
"sex-assigned^at-birth_type_pt_^patient_nom_stated",
"smoking-pack-years_find_pt_^patient_qn_calculated",
"718-7"
],
"value": [
"51",
"67",
"191",
"male",
"0.75",
"5"
],
"unit": [
"a",
"inches",
"lbs",
"",
"pack/years",
"g/dL"
],
"event_dtutc": [
"2025-01-01T11:23:45Z",
"2025-01-03T13:45:15Z",
"2025-01-03T13:45:15Z",
"2025-01-03T13:45:15Z",
"2025-01-03T13:45:15Z",
"2025-11-13T09:11:17Z"
]
}
},
{
"uid_ext": "t7aa6v15-1ch9-ec9z-8372-6c9f6b96a057",
"scoring_asof_dtutc": [
"2025-02-22T11:23:45Z"
],
"product_version": "4.2.0",
"mode": "validate_and_score",
"predictors": {
"id": [
"9f3f83a5-5cc4-4012-9451-717bd5d61331",
"a1cae68a-5540-42e8-a8a4-d1b4b6d5dcc2",
"a795e7eb-e756-4d35-bfa8-a96715b25b1c",
"ada8bd35-1b72-4333-a988-33823719aed6",
"434924a0-45a4-4ed0-9669-d4c309722334",
"fc8d1518-ec5d-4bc8-aa25-037ab8b87ca0",
"9aad422b-a454-4513-89c9-7c22b342c624"
],
"data_source": [
"survey",
"survey",
"lab",
"user_profile",
"user_profile",
"lab",
"lab"
],
"obs_code": [
"age_time_pt_^patient_qn_stated",
"body-height_len_pt_^patient_qn_stated",
"body-weight_mass_pt_^patient_qn_stated",
"sex-assigned^at-birth_type_pt_^patient_nom_stated",
"smoking-pack-years_find_pt_^patient_qn_calculated",
"albumin_mcnc_pt_ser-plas_qn_",
"2085-9"
],
"value": [
"45",
"78",
"167",
"male",
"0.01",
"4.9",
"128"
],
"event_dtutc": [
"2025-01-01T11:23:45Z",
"2025-01-03T13:45:15Z",
"2025-01-03T13:45:15Z",
"2025-01-03T13:45:15Z",
"2025-01-03T13:45:15Z",
"2025-01-01T11:23:45Z",
"2025-01-01T11:23:45Z"
]
}
}
]
}Response
The response from the scoring event is made up of 3 key objects that provide information about a user's health.
- Volo Scores - The Volo Score is a measure of an individual’s current state of health in each of the six health domains. The Volo Score is calculated based on how an individual’s biomarkers compare to the biomarkers of individuals of the same age and sex in the UK Biobank who don’t smoke and have not experienced any major cardiac events or cancer.
- Scores of 200 represent the average state of health in that health domain. Scores above 200 indicate above average health. Scores below 200 indicate below average health.
- Each 20-point change in score represents a doubling (improvement) or halving (decline) of health probability within that specific health domain. For example, going from 200 to 220 means the health outlook in that area is twice as good; dropping to 180 means it is half as good.
- Scores are calculated using proprietary algorithms based on biomarker data
- Biomarker Health Multiplier - The Biomarker Health Multiplier is a metric measuring the degree to which the individual’s biomarker value is impacting the health domain.
- A value of 1 indicates the customer has a risk equal to the median risk of the patient's peer group (same age and sex).
- Biomarker health multiplier values above 1.0 indicate increased health within the domain. A biomarker health multiplier of 1.15, for example, indicates 15% better health than the average expected for age and sex.
- Biomarker health multiplier values below 1.0 indicate decreased health within the domain. A score of 0.8, for example, reflects a 20% decrease from the average expected health for age and sex
- Scores are calculated using proprietary algorithms based on biomarker data
- Volo Age - VoloAge reflects how old, in years, a health domain behaves based on biomarkers. It is a comparison of chronological age and the state of each health domain, showing whether the health domain or organ is aging faster or slower than expected.
- For example, if your brain age is 40, for example, and you are 36, your brain health currently resembles that of an average 40-year-old.
- Biomarker Attribution - Biomarker attribution to influencing a particular health domain.
- If the model predicts risk of cardiovascular disease and a biomarker (say HDL cholesterol) has an attribution of -0.083, it suggests:
- Higher HDL levels reduce the predicted risk (negative contribution).
- The effect size is modest compared to other features.
- If the model predicts risk of cardiovascular disease and a biomarker (say HDL cholesterol) has an attribution of -0.083, it suggests:
- Biomarker Ranges - Descriptive statistics related to each biomarker. The output data provides the following key information about each biomarker / predictor.
- Lab Range - as provided by the testing laboratory, the absolute maximum and minimum values for a given biomarker
- Voloridge Modeled Range (VMR) - An aggregate improved health and wellness range across the six health domains
- Top Disease Predictors - The top biomarkers, ranked in order of influence to a particular health domain.
- A list of the key biomarkers that most strongly influence health domain specific outcomes.
- For example, in cardiovascular disease, Cystatin C is ranked first and Systolic Blood Pressure second as the most influential biomarkers in predicting risk.
- Biomarker Percentiles - The percentiles for each of the biomarkers / predictors used in generating the scores
{
"event_id": "8f3d6bbf-71e9-4eab-970d-902878a4e637",
"data": [
{
"uid_ext": "d4aa4fc5-1ca4-4c22-9453-6c9f6b96a057",
"uid": null,
"scoring_events": null,
"validations": [
{
"id": "9f3f83a5-5cc4-4012-9451-717bd5d61331",
"obs_code": "age_time_pt_^patient_qn_stated",
"obs_code_ext": "",
"qa_status": "PASS",
"message": "Valid entry",
"return_code": "valid_entry",
"severity": ""
},
{
"id": "a1cae68a-5540-42e8-a8a4-d1b4b6d5dcc2",
"obs_code": "body-height_len_pt_^patient_qn_stated",
"obs_code_ext": "3138-5",
"qa_status": "PASS",
"message": "Valid entry",
"return_code": "valid_entry",
"severity": ""
},
{
"id": "a795e7eb-e756-4d35-bfa8-a96715b25b1c",
"obs_code": "body-weight_mass_pt_^patient_qn_stated",
"obs_code_ext": "3142-7",
"qa_status": "PASS",
"message": "Valid entry",
"return_code": "valid_entry",
"severity": ""
},
{
"id": "ada8bd35-1b72-4333-a988-33823719aed6",
"obs_code": "sex-assigned^at-birth_type_pt_^patient_nom_stated",
"obs_code_ext": "",
"qa_status": "PASS",
"message": "Valid entry",
"return_code": "valid_entry",
"severity": ""
},
{
"id": "434924a0-45a4-4ed0-9669-d4c309722334",
"obs_code": "smoking-pack-years_find_pt_^patient_qn_calculated",
"obs_code_ext": "",
"qa_status": "PASS",
"message": "Valid entry",
"return_code": "valid_entry",
"severity": ""
},
{
"id": "87373dce-d6fd-4862-ad4e-728cde102dc2",
"obs_code": "hemoglobin_mcnc_pt_bld_qn_",
"obs_code_ext": "718-7",
"qa_status": "PASS",
"message": "Valid entry",
"return_code": "valid_entry",
"severity": ""
}
]
},
{
"uid_ext": "t7aa6v15-1ch9-ec9z-8372-6c9f6b96a057",
"uid": null,
"scoring_events": [
{
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"product_version": "4.2.0",
"predictors": {
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"ada8bd35-1b72-4333-a988-33823719aed6",
"434924a0-45a4-4ed0-9669-d4c309722334",
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"2488ed5f-9872-4ee9-a8a4-9998d3af8259",
"b8a57f43-604f-4f1a-9e33-7c5da818b909",
"095fdc5b-7a3d-4102-a489-5984097b1d7a",
"8d51c558-6902-4e7c-8f1c-aa4eb06e371c",
"e5075dc1-7f11-4387-8cc9-9faab3c2663a",
"d77c283a-95f6-4875-86ae-b88cf3298e2e",
"e6598427-a572-4bcc-8b4a-53d178734cc6",
"0d71d46e-f380-432b-9b7e-086231655f70",
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"18fb05ae-c592-4d74-b028-03496b3186b5",
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"756b433b-4d24-4754-bf92-c8bf436bfb5b"
],
"obs_code": [
"age_time_pt_^patient_qn_stated",
"body-height_len_pt_^patient_qn_stated",
"body-weight_mass_pt_^patient_qn__30dmed",
"sex-assigned^at-birth_type_pt_^patient_nom_stated",
"smoking-pack-years_find_pt_^patient_qn_calculated",
"albumin_mcnc_pt_ser-plas_qn_",
"cholesterol.in-hdl_mcnc_pt_ser-plas_qn_",
"intravascular-diastolic_pres_pt_arterial-system_qn_60dmed",
"intravascular-systolic_pres_pt_arterial-system_qn_60dmed",
"heart-rate^resting_nrat_pt_xxx_qn_60dmed",
"years-since-quit-smoking_find_pt_^patient_qn_calculated",
"body-mass-index_ratio_pt_^patient_qn_calculated",
"circumference.at-natural-indent_len_pt_abdomen.mid_qn_stated",
"body-fat-percentage_mfr_pt_^patient_qn_bia",
"grip-strength_force_pt_hand.both_qn_avg",
"grip-strength_pctdiff_pt_hand.both_qn_calculated",
"alkaline-phosphatase_ccnc_pt_ser-plas_qn_",
"alanine-aminotransferase_ccnc_pt_ser-plas_qn_",
"apolipoprotein-b_mcnc_pt_ser-plas_qn_",
"aspartate-aminotransferase_ccnc_pt_ser-plas_qn_",
"urea-nitrogen_mcnc_pt_ser-plas_qn_",
"calcium_mcnc_pt_ser-plas_qn_",
"creatinine_mcnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_",
"cystatin-c_mcnc_pt_ser-plas_qn_",
"gamma-glutamyl-transferase_ccnc_pt_ser-plas_qn_",
"hemoglobin-a1c-hemoglobin.total_mfr_pt_bld_qn_",
"insulin-like-growth-factor-i_mcnc_pt_ser-plas_qn_",
"cholesterol.in-ldl_mcnc_pt_ser-plas_qn_calculated",
"lipoprotein-(little-a)_scnc_pt_ser-plas_qn_",
"sex-hormone-binding-globulin_scnc_pt_ser-plas_qn_",
"bilirubin_mcnc_pt_ser-plas_qn_",
"testosterone_mcnc_pt_ser-plas_qn_",
"protein_mcnc_pt_ser-plas_qn_",
"triglyceride_mcnc_pt_ser-plas_qn_",
"urate_mcnc_pt_ser-plas_qn_",
"calcidiol+ercalcidiol_mcnc_pt_ser-plas_qn_",
"leukocytes_ncnc_pt_bld_qn_automated-count",
"erythrocytes_ncnc_pt_bld_qn_automated-count",
"hemoglobin_mcnc_pt_bld_qn_",
"hematocrit_vfr_pt_bld_qn_automated-count",
"erythrocyte-mean-corpuscular-volume_entvol_pt_rbc_qn_automated-count",
"erythrocyte-mean-corpuscular-hemoglobin_entmass_pt_rbc_qn_automated-count",
"erythrocyte-mean-corpuscular-hemoglobin-concentration_mcnc_pt_rbc_qn_automated-count",
"erythrocyte-distribution-width_ratio_pt_rbc_qn_automated-count",
"aspartate-aminotransferase-div-alanine-aminotransferase_rto_pt_ser-plas_qn_calculated",
"urea-nitrogen-div-creatinine_rto_pt_ser-plas_qn_calculated",
"cholesterol.in-ldl-div-apolipoprotein-b_rto_pt_ser-plas_qn_calculated",
"grip-strength-age-adjusted_force_pt_hand.both_qn_calculated",
"cystatin-c-age-adjusted_mcnc_pt_ser-plas_qn_calculated"
],
"predictor_code": [
"age",
"pm__Height_Inches",
"pm__Weight_Lbs",
"sex",
"srSmoke__Pack_years_of_smoking",
"bl__Albumin",
"bl__HDL",
"pm__diastolic",
"pm__systolic",
"pm__pulse_rate",
"srSmoke__Years_quit_smoking",
"pm__bmi",
"pm__waist_circumference",
"bdycmp__Body fat percentage",
"pm__grip_strength_mean_lbs",
"pm__hand_grip_strength_diff",
"bl__ALK",
"bl__ALT",
"bl__ApoB",
"bl__AST",
"bl__Urea",
"bl__Calcium",
"bl__Creatinine",
"bl__CRP",
"bl__Cystatin_C",
"bl__GGT",
"bl__A1C",
"bl__IGF1",
"bl__LDL",
"bl__Lp_a",
"bl__SHBG",
"bl__Bilirubin_total",
"bl__Testosterone",
"bl__Protein_total",
"bl__Triglycerides",
"bl__Urate",
"bl__VitD",
"cbc__White_blood_cell_count",
"cbc__Red_blood_cell_count",
"cbc__Hemoglobin",
"cbc__Hematocrit",
"cbc__MCV",
"cbc__MCH",
"cbc__MCHC",
"cbc__RDW",
"bl__AST_ALT_Ratio",
"bl__BUN_creat_ratio",
"bl__LDL_ApoB_ratio",
"pm__grip_age_delta_lbs",
"bl__CystatinC_AD"
],
"value": [
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"167.0",
"male",
"0.01",
"4.9",
"128.0",
"67.28715646915452",
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],
"imputation_code": [
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"SIDEWAYS",
"SIDEWAYS",
"SIDEWAYS",
"SIDEWAYS",
"SIDEWAYS",
"SIDEWAYS",
"SIDEWAYS",
"SIDEWAYS"
],
"predictor_asof_dtutc": [
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]
},
"health_scores": {
"disease_code": [
"MACE3",
"Mortality",
"T2D",
"ARD",
"Liver",
"COPD",
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"urea-nitrogen_mcnc_pt_ser-plas_qn_",
"calcium_mcnc_pt_ser-plas_qn_",
"creatinine_mcnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_",
"cystatin-c_mcnc_pt_ser-plas_qn_",
"gamma-glutamyl-transferase_ccnc_pt_ser-plas_qn_",
"hemoglobin-a1c-hemoglobin.total_mfr_pt_bld_qn_",
"cholesterol.in-hdl_mcnc_pt_ser-plas_qn_",
"insulin-like-growth-factor-i_mcnc_pt_ser-plas_qn_",
"lipoprotein-(little-a)_scnc_pt_ser-plas_qn_",
"sex-hormone-binding-globulin_scnc_pt_ser-plas_qn_",
"bilirubin_mcnc_pt_ser-plas_qn_",
"testosterone_mcnc_pt_ser-plas_qn_",
"protein_mcnc_pt_ser-plas_qn_",
"triglyceride_mcnc_pt_ser-plas_qn_",
"urate_mcnc_pt_ser-plas_qn_",
"calcidiol+ercalcidiol_mcnc_pt_ser-plas_qn_",
"leukocytes_ncnc_pt_bld_qn_automated-count",
"erythrocytes_ncnc_pt_bld_qn_automated-count",
"hemoglobin_mcnc_pt_bld_qn_",
"hematocrit_vfr_pt_bld_qn_automated-count",
"erythrocyte-mean-corpuscular-volume_entvol_pt_rbc_qn_automated-count",
"erythrocyte-mean-corpuscular-hemoglobin_entmass_pt_rbc_qn_automated-count",
"erythrocyte-mean-corpuscular-hemoglobin-concentration_mcnc_pt_rbc_qn_automated-count",
"erythrocyte-distribution-width_ratio_pt_rbc_qn_automated-count",
"cholesterol.in-ldl_mcnc_pt_ser-plas_qn_calculated",
"apolipoprotein-b_mcnc_pt_ser-plas_qn_",
"cholesterol.in-ldl-div-apolipoprotein-b_rto_pt_ser-plas_qn_calculated",
"intravascular-systolic_pres_pt_arterial-system_qn_60dmed",
"intravascular-diastolic_pres_pt_arterial-system_qn_60dmed",
"body-mass-index_ratio_pt_^patient_qn_calculated",
"circumference.at-natural-indent_len_pt_abdomen.mid_qn_stated",
"body-fat-percentage_mfr_pt_^patient_qn_bia",
"grip-strength-age-adjusted_force_pt_hand.both_qn_calculated",
"cystatin-c-age-adjusted_mcnc_pt_ser-plas_qn_calculated",
"urea-nitrogen-div-creatinine_rto_pt_ser-plas_qn_calculated",
"aspartate-aminotransferase-div-alanine-aminotransferase_rto_pt_ser-plas_qn_calculated",
"apolipoprotein-a-i_mcnc_pt_ser-plas_qn_",
"neutrophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"glucose_mcnc_pt_ser-plas_qn_",
"lymphocytes-100-leukocytes_nfr_pt_bld_qn_automated-count",
"monocytes-100-leukocytes_nfr_pt_bld_qn_automated-count",
"eosinophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"basophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"neutrophils_ncnc_pt_bld_qn_automated-count",
"lymphocytes_ncnc_pt_bld_qn_automated-count",
"monocytes_ncnc_pt_bld_qn_automated-count",
"eosinophils_ncnc_pt_bld_qn_automated-count",
"basophils_ncnc_pt_bld_qn_automated-count",
"platelets_ncnc_pt_bld_qn_automated-count",
"age_time_pt_^patient_qn_stated",
"smoking-pack-years_find_pt_^patient_qn_calculated",
"body-height_len_pt_^patient_qn_stated",
"grip-strength_force_pt_hand.both_qn_avg",
"grip-strength_pctdiff_pt_hand.both_qn_calculated",
"heart-rate^resting_nrat_pt_xxx_qn_60dmed",
"albumin_mcnc_pt_ser-plas_qn_",
"alkaline-phosphatase_ccnc_pt_ser-plas_qn_",
"alanine-aminotransferase_ccnc_pt_ser-plas_qn_",
"aspartate-aminotransferase_ccnc_pt_ser-plas_qn_",
"urea-nitrogen_mcnc_pt_ser-plas_qn_",
"calcium_mcnc_pt_ser-plas_qn_",
"creatinine_mcnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_",
"cystatin-c_mcnc_pt_ser-plas_qn_",
"gamma-glutamyl-transferase_ccnc_pt_ser-plas_qn_",
"hemoglobin-a1c-hemoglobin.total_mfr_pt_bld_qn_",
"cholesterol.in-hdl_mcnc_pt_ser-plas_qn_",
"insulin-like-growth-factor-i_mcnc_pt_ser-plas_qn_",
"lipoprotein-(little-a)_scnc_pt_ser-plas_qn_",
"sex-hormone-binding-globulin_scnc_pt_ser-plas_qn_",
"bilirubin_mcnc_pt_ser-plas_qn_",
"testosterone_mcnc_pt_ser-plas_qn_",
"protein_mcnc_pt_ser-plas_qn_",
"triglyceride_mcnc_pt_ser-plas_qn_",
"urate_mcnc_pt_ser-plas_qn_",
"calcidiol+ercalcidiol_mcnc_pt_ser-plas_qn_",
"leukocytes_ncnc_pt_bld_qn_automated-count",
"erythrocytes_ncnc_pt_bld_qn_automated-count",
"hemoglobin_mcnc_pt_bld_qn_",
"hematocrit_vfr_pt_bld_qn_automated-count",
"erythrocyte-mean-corpuscular-volume_entvol_pt_rbc_qn_automated-count",
"erythrocyte-mean-corpuscular-hemoglobin_entmass_pt_rbc_qn_automated-count",
"erythrocyte-mean-corpuscular-hemoglobin-concentration_mcnc_pt_rbc_qn_automated-count",
"erythrocyte-distribution-width_ratio_pt_rbc_qn_automated-count",
"cholesterol.in-ldl_mcnc_pt_ser-plas_qn_calculated",
"apolipoprotein-b_mcnc_pt_ser-plas_qn_",
"cholesterol.in-ldl-div-apolipoprotein-b_rto_pt_ser-plas_qn_calculated",
"intravascular-systolic_pres_pt_arterial-system_qn_60dmed",
"intravascular-diastolic_pres_pt_arterial-system_qn_60dmed",
"body-mass-index_ratio_pt_^patient_qn_calculated",
"circumference.at-natural-indent_len_pt_abdomen.mid_qn_stated",
"body-fat-percentage_mfr_pt_^patient_qn_bia",
"grip-strength-age-adjusted_force_pt_hand.both_qn_calculated",
"cystatin-c-age-adjusted_mcnc_pt_ser-plas_qn_calculated",
"urea-nitrogen-div-creatinine_rto_pt_ser-plas_qn_calculated",
"aspartate-aminotransferase-div-alanine-aminotransferase_rto_pt_ser-plas_qn_calculated",
"apolipoprotein-a-i_mcnc_pt_ser-plas_qn_",
"neutrophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"glucose_mcnc_pt_ser-plas_qn_",
"lymphocytes-100-leukocytes_nfr_pt_bld_qn_automated-count",
"monocytes-100-leukocytes_nfr_pt_bld_qn_automated-count",
"eosinophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"basophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"neutrophils_ncnc_pt_bld_qn_automated-count",
"lymphocytes_ncnc_pt_bld_qn_automated-count",
"monocytes_ncnc_pt_bld_qn_automated-count",
"eosinophils_ncnc_pt_bld_qn_automated-count",
"basophils_ncnc_pt_bld_qn_automated-count",
"platelets_ncnc_pt_bld_qn_automated-count",
"age_time_pt_^patient_qn_stated",
"smoking-pack-years_find_pt_^patient_qn_calculated",
"body-height_len_pt_^patient_qn_stated",
"grip-strength_force_pt_hand.both_qn_avg",
"grip-strength_pctdiff_pt_hand.both_qn_calculated",
"heart-rate^resting_nrat_pt_xxx_qn_60dmed",
"albumin_mcnc_pt_ser-plas_qn_",
"alkaline-phosphatase_ccnc_pt_ser-plas_qn_",
"alanine-aminotransferase_ccnc_pt_ser-plas_qn_",
"aspartate-aminotransferase_ccnc_pt_ser-plas_qn_",
"urea-nitrogen_mcnc_pt_ser-plas_qn_",
"calcium_mcnc_pt_ser-plas_qn_",
"creatinine_mcnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_",
"cystatin-c_mcnc_pt_ser-plas_qn_",
"gamma-glutamyl-transferase_ccnc_pt_ser-plas_qn_",
"hemoglobin-a1c-hemoglobin.total_mfr_pt_bld_qn_",
"cholesterol.in-hdl_mcnc_pt_ser-plas_qn_",
"insulin-like-growth-factor-i_mcnc_pt_ser-plas_qn_",
"lipoprotein-(little-a)_scnc_pt_ser-plas_qn_",
"sex-hormone-binding-globulin_scnc_pt_ser-plas_qn_",
"bilirubin_mcnc_pt_ser-plas_qn_",
"testosterone_mcnc_pt_ser-plas_qn_",
"protein_mcnc_pt_ser-plas_qn_",
"triglyceride_mcnc_pt_ser-plas_qn_",
"urate_mcnc_pt_ser-plas_qn_",
"calcidiol+ercalcidiol_mcnc_pt_ser-plas_qn_",
"leukocytes_ncnc_pt_bld_qn_automated-count",
"erythrocytes_ncnc_pt_bld_qn_automated-count",
"hemoglobin_mcnc_pt_bld_qn_",
"hematocrit_vfr_pt_bld_qn_automated-count",
"erythrocyte-mean-corpuscular-volume_entvol_pt_rbc_qn_automated-count",
"erythrocyte-mean-corpuscular-hemoglobin_entmass_pt_rbc_qn_automated-count",
"erythrocyte-mean-corpuscular-hemoglobin-concentration_mcnc_pt_rbc_qn_automated-count",
"erythrocyte-distribution-width_ratio_pt_rbc_qn_automated-count",
"cholesterol.in-ldl_mcnc_pt_ser-plas_qn_calculated",
"apolipoprotein-b_mcnc_pt_ser-plas_qn_",
"cholesterol.in-ldl-div-apolipoprotein-b_rto_pt_ser-plas_qn_calculated",
"intravascular-systolic_pres_pt_arterial-system_qn_60dmed",
"intravascular-diastolic_pres_pt_arterial-system_qn_60dmed",
"body-mass-index_ratio_pt_^patient_qn_calculated",
"circumference.at-natural-indent_len_pt_abdomen.mid_qn_stated",
"body-fat-percentage_mfr_pt_^patient_qn_bia",
"grip-strength-age-adjusted_force_pt_hand.both_qn_calculated",
"cystatin-c-age-adjusted_mcnc_pt_ser-plas_qn_calculated",
"urea-nitrogen-div-creatinine_rto_pt_ser-plas_qn_calculated",
"aspartate-aminotransferase-div-alanine-aminotransferase_rto_pt_ser-plas_qn_calculated",
"apolipoprotein-a-i_mcnc_pt_ser-plas_qn_",
"neutrophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"glucose_mcnc_pt_ser-plas_qn_",
"lymphocytes-100-leukocytes_nfr_pt_bld_qn_automated-count",
"monocytes-100-leukocytes_nfr_pt_bld_qn_automated-count",
"eosinophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"basophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"neutrophils_ncnc_pt_bld_qn_automated-count",
"lymphocytes_ncnc_pt_bld_qn_automated-count",
"monocytes_ncnc_pt_bld_qn_automated-count",
"eosinophils_ncnc_pt_bld_qn_automated-count",
"basophils_ncnc_pt_bld_qn_automated-count",
"platelets_ncnc_pt_bld_qn_automated-count",
"age_time_pt_^patient_qn_stated",
"smoking-pack-years_find_pt_^patient_qn_calculated",
"body-height_len_pt_^patient_qn_stated",
"grip-strength_force_pt_hand.both_qn_avg",
"grip-strength_pctdiff_pt_hand.both_qn_calculated",
"heart-rate^resting_nrat_pt_xxx_qn_60dmed",
"albumin_mcnc_pt_ser-plas_qn_",
"alkaline-phosphatase_ccnc_pt_ser-plas_qn_",
"alanine-aminotransferase_ccnc_pt_ser-plas_qn_",
"aspartate-aminotransferase_ccnc_pt_ser-plas_qn_",
"urea-nitrogen_mcnc_pt_ser-plas_qn_",
"calcium_mcnc_pt_ser-plas_qn_",
"creatinine_mcnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_",
"cystatin-c_mcnc_pt_ser-plas_qn_",
"gamma-glutamyl-transferase_ccnc_pt_ser-plas_qn_",
"hemoglobin-a1c-hemoglobin.total_mfr_pt_bld_qn_",
"cholesterol.in-hdl_mcnc_pt_ser-plas_qn_",
"insulin-like-growth-factor-i_mcnc_pt_ser-plas_qn_",
"lipoprotein-(little-a)_scnc_pt_ser-plas_qn_",
"sex-hormone-binding-globulin_scnc_pt_ser-plas_qn_",
"bilirubin_mcnc_pt_ser-plas_qn_",
"testosterone_mcnc_pt_ser-plas_qn_",
"protein_mcnc_pt_ser-plas_qn_",
"triglyceride_mcnc_pt_ser-plas_qn_",
"urate_mcnc_pt_ser-plas_qn_",
"calcidiol+ercalcidiol_mcnc_pt_ser-plas_qn_",
"leukocytes_ncnc_pt_bld_qn_automated-count",
"erythrocytes_ncnc_pt_bld_qn_automated-count",
"hemoglobin_mcnc_pt_bld_qn_",
"hematocrit_vfr_pt_bld_qn_automated-count",
"erythrocyte-mean-corpuscular-volume_entvol_pt_rbc_qn_automated-count",
"erythrocyte-mean-corpuscular-hemoglobin_entmass_pt_rbc_qn_automated-count",
"erythrocyte-mean-corpuscular-hemoglobin-concentration_mcnc_pt_rbc_qn_automated-count",
"erythrocyte-distribution-width_ratio_pt_rbc_qn_automated-count",
"cholesterol.in-ldl_mcnc_pt_ser-plas_qn_calculated",
"apolipoprotein-b_mcnc_pt_ser-plas_qn_",
"cholesterol.in-ldl-div-apolipoprotein-b_rto_pt_ser-plas_qn_calculated",
"intravascular-systolic_pres_pt_arterial-system_qn_60dmed",
"intravascular-diastolic_pres_pt_arterial-system_qn_60dmed",
"body-mass-index_ratio_pt_^patient_qn_calculated",
"circumference.at-natural-indent_len_pt_abdomen.mid_qn_stated",
"body-fat-percentage_mfr_pt_^patient_qn_bia",
"grip-strength-age-adjusted_force_pt_hand.both_qn_calculated",
"cystatin-c-age-adjusted_mcnc_pt_ser-plas_qn_calculated",
"urea-nitrogen-div-creatinine_rto_pt_ser-plas_qn_calculated",
"aspartate-aminotransferase-div-alanine-aminotransferase_rto_pt_ser-plas_qn_calculated",
"apolipoprotein-a-i_mcnc_pt_ser-plas_qn_",
"neutrophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"glucose_mcnc_pt_ser-plas_qn_",
"lymphocytes-100-leukocytes_nfr_pt_bld_qn_automated-count",
"monocytes-100-leukocytes_nfr_pt_bld_qn_automated-count",
"eosinophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"basophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"neutrophils_ncnc_pt_bld_qn_automated-count",
"lymphocytes_ncnc_pt_bld_qn_automated-count",
"monocytes_ncnc_pt_bld_qn_automated-count",
"eosinophils_ncnc_pt_bld_qn_automated-count",
"basophils_ncnc_pt_bld_qn_automated-count",
"platelets_ncnc_pt_bld_qn_automated-count"
],
"predictor_code": [
"age",
"srSmoke__Pack_years_of_smoking",
"pm__Height_Inches",
"pm__grip_strength_mean_lbs",
"pm__hand_grip_strength_diff",
"pm__pulse_rate",
"bl__Albumin",
"bl__ALK",
"bl__ALT",
"bl__AST",
"bl__Urea",
"bl__Calcium",
"bl__Creatinine",
"bl__CRP",
"bl__Cystatin_C",
"bl__GGT",
"bl__A1C",
"bl__HDL",
"bl__IGF1",
"bl__Lp_a",
"bl__SHBG",
"bl__Bilirubin_total",
"bl__Testosterone",
"bl__Protein_total",
"bl__Triglycerides",
"bl__Urate",
"bl__VitD",
"cbc__White_blood_cell_count",
"cbc__Red_blood_cell_count",
"cbc__Hemoglobin",
"cbc__Hematocrit",
"cbc__MCV",
"cbc__MCH",
"cbc__MCHC",
"cbc__RDW",
"bl__LDL",
"bl__ApoB",
"bl__LDL_ApoB_ratio",
"pm__systolic",
"pm__diastolic",
"pm__bmi",
"pm__waist_circumference",
"bdycmp__Body fat percentage",
"pm__grip_age_delta_lbs",
"bl__CystatinC_AD",
"bl__BUN_creat_ratio",
"bl__AST_ALT_Ratio",
"bl__ApoA",
"cbc__Neutrophil_percent",
"bl__Glucose",
"cbc__Lymphocyte_percent",
"cbc__Monocyte_percent",
"cbc__Eosiniphill_percent",
"cbc__Basophil_percent",
"cbc__Neutrophil_count",
"cbc__Lymphocyte_count",
"cbc__Monocyte_count",
"cbc__Eosiniphill_count",
"cbc__Basophil_count",
"cbc__Platelet_count",
"age",
"srSmoke__Pack_years_of_smoking",
"pm__Height_Inches",
"pm__grip_strength_mean_lbs",
"pm__hand_grip_strength_diff",
"pm__pulse_rate",
"bl__Albumin",
"bl__ALK",
"bl__ALT",
"bl__AST",
"bl__Urea",
"bl__Calcium",
"bl__Creatinine",
"bl__CRP",
"bl__Cystatin_C",
"bl__GGT",
"bl__A1C",
"bl__HDL",
"bl__IGF1",
"bl__Lp_a",
"bl__SHBG",
"bl__Bilirubin_total",
"bl__Testosterone",
"bl__Protein_total",
"bl__Triglycerides",
"bl__Urate",
"bl__VitD",
"cbc__White_blood_cell_count",
"cbc__Red_blood_cell_count",
"cbc__Hemoglobin",
"cbc__Hematocrit",
"cbc__MCV",
"cbc__MCH",
"cbc__MCHC",
"cbc__RDW",
"bl__LDL",
"bl__ApoB",
"bl__LDL_ApoB_ratio",
"pm__systolic",
"pm__diastolic",
"pm__bmi",
"pm__waist_circumference",
"bdycmp__Body fat percentage",
"pm__grip_age_delta_lbs",
"bl__CystatinC_AD",
"bl__BUN_creat_ratio",
"bl__AST_ALT_Ratio",
"bl__ApoA",
"cbc__Neutrophil_percent",
"bl__Glucose",
"cbc__Lymphocyte_percent",
"cbc__Monocyte_percent",
"cbc__Eosiniphill_percent",
"cbc__Basophil_percent",
"cbc__Neutrophil_count",
"cbc__Lymphocyte_count",
"cbc__Monocyte_count",
"cbc__Eosiniphill_count",
"cbc__Basophil_count",
"cbc__Platelet_count",
"age",
"srSmoke__Pack_years_of_smoking",
"pm__Height_Inches",
"pm__grip_strength_mean_lbs",
"pm__hand_grip_strength_diff",
"pm__pulse_rate",
"bl__Albumin",
"bl__ALK",
"bl__ALT",
"bl__AST",
"bl__Urea",
"bl__Calcium",
"bl__Creatinine",
"bl__CRP",
"bl__Cystatin_C",
"bl__GGT",
"bl__A1C",
"bl__HDL",
"bl__IGF1",
"bl__Lp_a",
"bl__SHBG",
"bl__Bilirubin_total",
"bl__Testosterone",
"bl__Protein_total",
"bl__Triglycerides",
"bl__Urate",
"bl__VitD",
"cbc__White_blood_cell_count",
"cbc__Red_blood_cell_count",
"cbc__Hemoglobin",
"cbc__Hematocrit",
"cbc__MCV",
"cbc__MCH",
"cbc__MCHC",
"cbc__RDW",
"bl__LDL",
"bl__ApoB",
"bl__LDL_ApoB_ratio",
"pm__systolic",
"pm__diastolic",
"pm__bmi",
"pm__waist_circumference",
"bdycmp__Body fat percentage",
"pm__grip_age_delta_lbs",
"bl__CystatinC_AD",
"bl__BUN_creat_ratio",
"bl__AST_ALT_Ratio",
"bl__ApoA",
"cbc__Neutrophil_percent",
"bl__Glucose",
"cbc__Lymphocyte_percent",
"cbc__Monocyte_percent",
"cbc__Eosiniphill_percent",
"cbc__Basophil_percent",
"cbc__Neutrophil_count",
"cbc__Lymphocyte_count",
"cbc__Monocyte_count",
"cbc__Eosiniphill_count",
"cbc__Basophil_count",
"cbc__Platelet_count",
"age",
"srSmoke__Pack_years_of_smoking",
"pm__Height_Inches",
"pm__grip_strength_mean_lbs",
"pm__hand_grip_strength_diff",
"pm__pulse_rate",
"bl__Albumin",
"bl__ALK",
"bl__ALT",
"bl__AST",
"bl__Urea",
"bl__Calcium",
"bl__Creatinine",
"bl__CRP",
"bl__Cystatin_C",
"bl__GGT",
"bl__A1C",
"bl__HDL",
"bl__IGF1",
"bl__Lp_a",
"bl__SHBG",
"bl__Bilirubin_total",
"bl__Testosterone",
"bl__Protein_total",
"bl__Triglycerides",
"bl__Urate",
"bl__VitD",
"cbc__White_blood_cell_count",
"cbc__Red_blood_cell_count",
"cbc__Hemoglobin",
"cbc__Hematocrit",
"cbc__MCV",
"cbc__MCH",
"cbc__MCHC",
"cbc__RDW",
"bl__LDL",
"bl__ApoB",
"bl__LDL_ApoB_ratio",
"pm__systolic",
"pm__diastolic",
"pm__bmi",
"pm__waist_circumference",
"bdycmp__Body fat percentage",
"pm__grip_age_delta_lbs",
"bl__CystatinC_AD",
"bl__BUN_creat_ratio",
"bl__AST_ALT_Ratio",
"bl__ApoA",
"cbc__Neutrophil_percent",
"bl__Glucose",
"cbc__Lymphocyte_percent",
"cbc__Monocyte_percent",
"cbc__Eosiniphill_percent",
"cbc__Basophil_percent",
"cbc__Neutrophil_count",
"cbc__Lymphocyte_count",
"cbc__Monocyte_count",
"cbc__Eosiniphill_count",
"cbc__Basophil_count",
"cbc__Platelet_count",
"age",
"srSmoke__Pack_years_of_smoking",
"pm__Height_Inches",
"pm__grip_strength_mean_lbs",
"pm__hand_grip_strength_diff",
"pm__pulse_rate",
"bl__Albumin",
"bl__ALK",
"bl__ALT",
"bl__AST",
"bl__Urea",
"bl__Calcium",
"bl__Creatinine",
"bl__CRP",
"bl__Cystatin_C",
"bl__GGT",
"bl__A1C",
"bl__HDL",
"bl__IGF1",
"bl__Lp_a",
"bl__SHBG",
"bl__Bilirubin_total",
"bl__Testosterone",
"bl__Protein_total",
"bl__Triglycerides",
"bl__Urate",
"bl__VitD",
"cbc__White_blood_cell_count",
"cbc__Red_blood_cell_count",
"cbc__Hemoglobin",
"cbc__Hematocrit",
"cbc__MCV",
"cbc__MCH",
"cbc__MCHC",
"cbc__RDW",
"bl__LDL",
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"sex-hormone-binding-globulin_scnc_pt_ser-plas_qn_",
"bilirubin_mcnc_pt_ser-plas_qn_",
"testosterone_mcnc_pt_ser-plas_qn_",
"protein_mcnc_pt_ser-plas_qn_",
"triglyceride_mcnc_pt_ser-plas_qn_",
"urate_mcnc_pt_ser-plas_qn_",
"calcidiol+ercalcidiol_mcnc_pt_ser-plas_qn_",
"leukocytes_ncnc_pt_bld_qn_automated-count",
"erythrocytes_ncnc_pt_bld_qn_automated-count",
"hemoglobin_mcnc_pt_bld_qn_",
"hematocrit_vfr_pt_bld_qn_automated-count",
"erythrocyte-mean-corpuscular-volume_entvol_pt_rbc_qn_automated-count",
"erythrocyte-mean-corpuscular-hemoglobin_entmass_pt_rbc_qn_automated-count",
"erythrocyte-mean-corpuscular-hemoglobin-concentration_mcnc_pt_rbc_qn_automated-count",
"erythrocyte-distribution-width_ratio_pt_rbc_qn_automated-count",
"cholesterol.in-ldl_mcnc_pt_ser-plas_qn_calculated",
"apolipoprotein-b_mcnc_pt_ser-plas_qn_",
"cholesterol.in-ldl-div-apolipoprotein-b_rto_pt_ser-plas_qn_calculated",
"intravascular-systolic_pres_pt_arterial-system_qn_60dmed",
"intravascular-diastolic_pres_pt_arterial-system_qn_60dmed",
"body-mass-index_ratio_pt_^patient_qn_calculated",
"circumference.at-natural-indent_len_pt_abdomen.mid_qn_stated",
"circumference.at-umbilicus_len_pt_abdomen.mid_qn_stated",
"grip-strength-age-adjusted_force_pt_hand.both_qn_calculated",
"cystatin-c-age-adjusted_mcnc_pt_ser-plas_qn_calculated",
"urea-nitrogen-div-creatinine_rto_pt_ser-plas_qn_calculated",
"aspartate-aminotransferase-div-alanine-aminotransferase_rto_pt_ser-plas_qn_calculated",
"apolipoprotein-a-i_mcnc_pt_ser-plas_qn_",
"neutrophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"lymphocytes-100-leukocytes_nfr_pt_bld_qn_automated-count",
"monocytes-100-leukocytes_nfr_pt_bld_qn_automated-count",
"eosinophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"basophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"neutrophils_ncnc_pt_bld_qn_automated-count",
"lymphocytes_ncnc_pt_bld_qn_automated-count",
"monocytes_ncnc_pt_bld_qn_automated-count",
"eosinophils_ncnc_pt_bld_qn_automated-count",
"basophils_ncnc_pt_bld_qn_automated-count",
"platelets_ncnc_pt_bld_qn_automated-count",
"body-fat-percentage_mfr_pt_^patient_qn_bia"
],
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"85.956",
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"4070.0000000000005",
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"160.0",
"20.0",
"233.5",
"0.0"
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"39.0",
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],
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"5800.0",
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"1200.0",
"690.0",
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"31.0"
]
},
"top_disease_predictors": {
"disease_code": [
"MACE",
"MACE",
"MACE",
"MACE",
"MACE",
"MACE",
"MACE",
"MACE",
"MACE",
"MACE",
"MACE",
"MACE",
"MACE",
"MACE",
"MACE",
"Mortality",
"Mortality",
"Mortality",
"Mortality",
"Mortality",
"Mortality",
"Mortality",
"Mortality",
"Mortality",
"Mortality",
"Mortality",
"Mortality",
"Mortality",
"T2D",
"T2D",
"T2D",
"T2D",
"T2D",
"T2D",
"T2D",
"T2D",
"T2D",
"T2D",
"T2D",
"T2D",
"T2D",
"ARD",
"ARD",
"ARD",
"ARD",
"ARD",
"ARD",
"ARD",
"ARD",
"ARD",
"ARD",
"ARD",
"ARD",
"ARD",
"Liver",
"Liver",
"Liver",
"Liver",
"Liver",
"Liver",
"Liver",
"Liver",
"Liver",
"Liver",
"Liver",
"Liver",
"Liver",
"Dementia",
"Dementia",
"Dementia",
"Dementia",
"Dementia",
"Dementia",
"Dementia",
"Dementia",
"Dementia",
"Dementia",
"Dementia",
"Dementia",
"Dementia",
"COPD",
"COPD",
"COPD",
"COPD",
"COPD",
"COPD",
"COPD",
"COPD",
"COPD",
"COPD",
"COPD",
"COPD",
"COPD"
],
"disease_obs_code": [
"major-adverse-cardiac-event_find_pt_^patient__pred",
"major-adverse-cardiac-event_find_pt_^patient__pred",
"major-adverse-cardiac-event_find_pt_^patient__pred",
"major-adverse-cardiac-event_find_pt_^patient__pred",
"major-adverse-cardiac-event_find_pt_^patient__pred",
"major-adverse-cardiac-event_find_pt_^patient__pred",
"major-adverse-cardiac-event_find_pt_^patient__pred",
"major-adverse-cardiac-event_find_pt_^patient__pred",
"major-adverse-cardiac-event_find_pt_^patient__pred",
"major-adverse-cardiac-event_find_pt_^patient__pred",
"major-adverse-cardiac-event_find_pt_^patient__pred",
"major-adverse-cardiac-event_find_pt_^patient__pred",
"major-adverse-cardiac-event_find_pt_^patient__pred",
"major-adverse-cardiac-event_find_pt_^patient__pred",
"major-adverse-cardiac-event_find_pt_^patient__pred",
"all-cause-mortality_find_pt_^patient__pred",
"all-cause-mortality_find_pt_^patient__pred",
"all-cause-mortality_find_pt_^patient__pred",
"all-cause-mortality_find_pt_^patient__pred",
"all-cause-mortality_find_pt_^patient__pred",
"all-cause-mortality_find_pt_^patient__pred",
"all-cause-mortality_find_pt_^patient__pred",
"all-cause-mortality_find_pt_^patient__pred",
"all-cause-mortality_find_pt_^patient__pred",
"all-cause-mortality_find_pt_^patient__pred",
"all-cause-mortality_find_pt_^patient__pred",
"all-cause-mortality_find_pt_^patient__pred",
"all-cause-mortality_find_pt_^patient__pred",
"type-2-diabetes_find_pt_^patient__pred",
"type-2-diabetes_find_pt_^patient__pred",
"type-2-diabetes_find_pt_^patient__pred",
"type-2-diabetes_find_pt_^patient__pred",
"type-2-diabetes_find_pt_^patient__pred",
"type-2-diabetes_find_pt_^patient__pred",
"type-2-diabetes_find_pt_^patient__pred",
"type-2-diabetes_find_pt_^patient__pred",
"type-2-diabetes_find_pt_^patient__pred",
"type-2-diabetes_find_pt_^patient__pred",
"type-2-diabetes_find_pt_^patient__pred",
"type-2-diabetes_find_pt_^patient__pred",
"type-2-diabetes_find_pt_^patient__pred",
"acute-renal-disease_find_pt_^patient__pred",
"acute-renal-disease_find_pt_^patient__pred",
"acute-renal-disease_find_pt_^patient__pred",
"acute-renal-disease_find_pt_^patient__pred",
"acute-renal-disease_find_pt_^patient__pred",
"acute-renal-disease_find_pt_^patient__pred",
"acute-renal-disease_find_pt_^patient__pred",
"acute-renal-disease_find_pt_^patient__pred",
"acute-renal-disease_find_pt_^patient__pred",
"acute-renal-disease_find_pt_^patient__pred",
"acute-renal-disease_find_pt_^patient__pred",
"acute-renal-disease_find_pt_^patient__pred",
"acute-renal-disease_find_pt_^patient__pred",
"liver-disease_find_pt_^patient__pred",
"liver-disease_find_pt_^patient__pred",
"liver-disease_find_pt_^patient__pred",
"liver-disease_find_pt_^patient__pred",
"liver-disease_find_pt_^patient__pred",
"liver-disease_find_pt_^patient__pred",
"liver-disease_find_pt_^patient__pred",
"liver-disease_find_pt_^patient__pred",
"liver-disease_find_pt_^patient__pred",
"liver-disease_find_pt_^patient__pred",
"liver-disease_find_pt_^patient__pred",
"liver-disease_find_pt_^patient__pred",
"liver-disease_find_pt_^patient__pred",
"dementia_find_pt_^patient__pred",
"dementia_find_pt_^patient__pred",
"dementia_find_pt_^patient__pred",
"dementia_find_pt_^patient__pred",
"dementia_find_pt_^patient__pred",
"dementia_find_pt_^patient__pred",
"dementia_find_pt_^patient__pred",
"dementia_find_pt_^patient__pred",
"dementia_find_pt_^patient__pred",
"dementia_find_pt_^patient__pred",
"dementia_find_pt_^patient__pred",
"dementia_find_pt_^patient__pred",
"dementia_find_pt_^patient__pred",
"chronic-obstructive-pulmonary-disease_find_pt_^patient__pred",
"chronic-obstructive-pulmonary-disease_find_pt_^patient__pred",
"chronic-obstructive-pulmonary-disease_find_pt_^patient__pred",
"chronic-obstructive-pulmonary-disease_find_pt_^patient__pred",
"chronic-obstructive-pulmonary-disease_find_pt_^patient__pred",
"chronic-obstructive-pulmonary-disease_find_pt_^patient__pred",
"chronic-obstructive-pulmonary-disease_find_pt_^patient__pred",
"chronic-obstructive-pulmonary-disease_find_pt_^patient__pred",
"chronic-obstructive-pulmonary-disease_find_pt_^patient__pred",
"chronic-obstructive-pulmonary-disease_find_pt_^patient__pred",
"chronic-obstructive-pulmonary-disease_find_pt_^patient__pred",
"chronic-obstructive-pulmonary-disease_find_pt_^patient__pred",
"chronic-obstructive-pulmonary-disease_find_pt_^patient__pred"
],
"predictor_code": [
"bl__Cystatin_C",
"pm__systolic",
"bl__A1C",
"pm__bmi",
"bl__HDL",
"bl__CRP",
"bl__CRP",
"pm__diastolic",
"bl__ApoB",
"srSmoke__Pack_years_of_smoking",
"bl__Triglycerides",
"cbc__White_blood_cell_count",
"bl__Urate",
"bl__LDL",
"bl__Lp_a",
"bl__Cystatin_C",
"srSmoke__Pack_years_of_smoking",
"pm__bmi",
"bl__CRP",
"bl__CRP",
"cbc__RDW",
"bl__A1C",
"cbc__Red_blood_cell_count",
"bl__GGT",
"cbc__Hemoglobin",
"bl__Urea",
"bl__Creatinine",
"cbc__Hematocrit",
"bl__A1C",
"pm__bmi",
"bl__HDL",
"bl__SHBG",
"bl__LDL_ApoB_ratio",
"bl__Urate",
"bl__ALT",
"bl__Triglycerides",
"bl__GGT",
"bl__CRP",
"bl__CRP",
"bl__Cystatin_C",
"cbc__White_blood_cell_count",
"bl__Cystatin_C",
"pm__bmi",
"bl__A1C",
"bl__Creatinine",
"bl__Urea",
"bl__Urate",
"bl__CRP",
"bl__CRP",
"bl__LDL_ApoB_ratio",
"bl__HDL",
"srSmoke__Pack_years_of_smoking",
"cbc__Hemoglobin",
"bl__GGT",
"bl__GGT",
"bl__AST",
"bl__ALT",
"pm__bmi",
"bl__IGF1",
"bl__CRP",
"bl__CRP",
"bl__ALK",
"bl__HDL",
"bl__Urate",
"bl__A1C",
"bl__LDL_ApoB_ratio",
"bl__SHBG",
"pm__grip_strength_mean_lbs",
"bl__A1C",
"bl__CRP",
"bl__CRP",
"bl__LDL_ApoB_ratio",
"cbc__Hemoglobin",
"cbc__Red_blood_cell_count",
"srSmoke__Pack_years_of_smoking",
"cbc__Hematocrit",
"bl__Cystatin_C",
"pm__bmi",
"bl__Urea",
"bl__VitD",
"srSmoke__Pack_years_of_smoking",
"bl__CRP",
"bl__CRP",
"cbc__White_blood_cell_count",
"pm__bmi",
"bl__Cystatin_C",
"pm__grip_strength_mean_lbs",
"bl__IGF1",
"bl__GGT",
"bl__A1C",
"bl__Albumin",
"cbc__RDW",
"bl__LDL_ApoB_ratio"
],
"obs_code": [
"cystatin-c_mcnc_pt_ser-plas_qn_",
"intravascular-systolic_pres_pt_arterial-system_qn_60dmed",
"hemoglobin-a1c-hemoglobin.total_mfr_pt_bld_qn_",
"body-mass-index_ratio_pt_^patient_qn_calculated",
"cholesterol.in-hdl_mcnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_high-sensitivity",
"intravascular-diastolic_pres_pt_arterial-system_qn_60dmed",
"apolipoprotein-b_mcnc_pt_ser-plas_qn_",
"smoking-pack-years_find_pt_^patient_qn_calculated",
"triglyceride_mcnc_pt_ser-plas_qn_",
"leukocytes_ncnc_pt_bld_qn_automated-count",
"urate_mcnc_pt_ser-plas_qn_",
"cholesterol.in-ldl_mcnc_pt_ser-plas_qn_calculated",
"lipoprotein-(little-a)_scnc_pt_ser-plas_qn_",
"cystatin-c_mcnc_pt_ser-plas_qn_",
"smoking-pack-years_find_pt_^patient_qn_calculated",
"body-mass-index_ratio_pt_^patient_qn_calculated",
"c-reactive-protein_mcnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_high-sensitivity",
"erythrocyte-distribution-width_ratio_pt_rbc_qn_automated-count",
"hemoglobin-a1c-hemoglobin.total_mfr_pt_bld_qn_",
"erythrocytes_ncnc_pt_bld_qn_automated-count",
"gamma-glutamyl-transferase_ccnc_pt_ser-plas_qn_",
"hemoglobin_mcnc_pt_bld_qn_",
"urea-nitrogen_mcnc_pt_ser-plas_qn_",
"creatinine_mcnc_pt_ser-plas_qn_",
"hematocrit_vfr_pt_bld_qn_automated-count",
"hemoglobin-a1c-hemoglobin.total_mfr_pt_bld_qn_",
"body-mass-index_ratio_pt_^patient_qn_calculated",
"cholesterol.in-hdl_mcnc_pt_ser-plas_qn_",
"sex-hormone-binding-globulin_scnc_pt_ser-plas_qn_",
"cholesterol.in-ldl-div-apolipoprotein-b_rto_pt_ser-plas_qn_calculated",
"urate_mcnc_pt_ser-plas_qn_",
"alanine-aminotransferase_ccnc_pt_ser-plas_qn_",
"triglyceride_mcnc_pt_ser-plas_qn_",
"gamma-glutamyl-transferase_ccnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_high-sensitivity",
"cystatin-c_mcnc_pt_ser-plas_qn_",
"leukocytes_ncnc_pt_bld_qn_automated-count",
"cystatin-c_mcnc_pt_ser-plas_qn_",
"body-mass-index_ratio_pt_^patient_qn_calculated",
"hemoglobin-a1c-hemoglobin.total_mfr_pt_bld_qn_",
"creatinine_mcnc_pt_ser-plas_qn_",
"urea-nitrogen_mcnc_pt_ser-plas_qn_",
"urate_mcnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_high-sensitivity",
"cholesterol.in-ldl-div-apolipoprotein-b_rto_pt_ser-plas_qn_calculated",
"cholesterol.in-hdl_mcnc_pt_ser-plas_qn_",
"smoking-pack-years_find_pt_^patient_qn_calculated",
"hemoglobin_mcnc_pt_bld_qn_",
"gamma-glutamyl-transferase_ccnc_pt_ser-plas_qn_",
"gamma-glutamyl-transferase_ccnc_pt_ser-plas_qn_",
"aspartate-aminotransferase_ccnc_pt_ser-plas_qn_",
"alanine-aminotransferase_ccnc_pt_ser-plas_qn_",
"body-mass-index_ratio_pt_^patient_qn_calculated",
"insulin-like-growth-factor-i_mcnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_high-sensitivity",
"alkaline-phosphatase_ccnc_pt_ser-plas_qn_",
"cholesterol.in-hdl_mcnc_pt_ser-plas_qn_",
"urate_mcnc_pt_ser-plas_qn_",
"hemoglobin-a1c-hemoglobin.total_mfr_pt_bld_qn_",
"cholesterol.in-ldl-div-apolipoprotein-b_rto_pt_ser-plas_qn_calculated",
"sex-hormone-binding-globulin_scnc_pt_ser-plas_qn_",
"grip-strength_force_pt_hand.both_qn_avg",
"hemoglobin-a1c-hemoglobin.total_mfr_pt_bld_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_high-sensitivity",
"cholesterol.in-ldl-div-apolipoprotein-b_rto_pt_ser-plas_qn_calculated",
"hemoglobin_mcnc_pt_bld_qn_",
"erythrocytes_ncnc_pt_bld_qn_automated-count",
"smoking-pack-years_find_pt_^patient_qn_calculated",
"hematocrit_vfr_pt_bld_qn_automated-count",
"cystatin-c_mcnc_pt_ser-plas_qn_",
"body-mass-index_ratio_pt_^patient_qn_calculated",
"urea-nitrogen_mcnc_pt_ser-plas_qn_",
"calcidiol+ercalcidiol_mcnc_pt_ser-plas_qn_",
"smoking-pack-years_find_pt_^patient_qn_calculated",
"c-reactive-protein_mcnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_high-sensitivity",
"leukocytes_ncnc_pt_bld_qn_automated-count",
"body-mass-index_ratio_pt_^patient_qn_calculated",
"cystatin-c_mcnc_pt_ser-plas_qn_",
"grip-strength_force_pt_hand.both_qn_avg",
"insulin-like-growth-factor-i_mcnc_pt_ser-plas_qn_",
"gamma-glutamyl-transferase_ccnc_pt_ser-plas_qn_",
"hemoglobin-a1c-hemoglobin.total_mfr_pt_bld_qn_",
"albumin_mcnc_pt_ser-plas_qn_",
"erythrocyte-distribution-width_ratio_pt_rbc_qn_automated-count",
"cholesterol.in-ldl-div-apolipoprotein-b_rto_pt_ser-plas_qn_calculated"
],
"rank": [
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"2",
"3",
"4",
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]
},
"disease_biomarker_risk_ratio": null,
"overall_disease_risk_ratio": null,
"biomarker_percentiles": {
"predictor_code": [
"srSmoke__Pack_years_of_smoking",
"pm__bmi",
"pm__Height_Inches",
"pm__Weight_Lbs",
"pm__diastolic",
"pm__systolic",
"pm__grip_age_delta_lbs",
"pm__grip_strength_mean_lbs",
"pm__hand_grip_strength_diff",
"pm__pulse_rate",
"bl__Albumin",
"bl__ALK",
"bl__ALT",
"bl__ApoA",
"bl__ApoB",
"bl__AST",
"bl__AST_ALT_Ratio",
"bl__Urea",
"bl__Calcium",
"bl__Creatinine",
"bl__CRP",
"bl__Cystatin_C",
"bl__GGT",
"bl__Glucose",
"bl__A1C",
"bl__HDL",
"bl__IGF1",
"bl__LDL",
"bl__Lp_a",
"bl__SHBG",
"bl__Bilirubin_total",
"bl__Testosterone",
"bl__Protein_total",
"bl__Triglycerides",
"bl__Urate",
"bl__VitD",
"bl__BUN_creat_ratio",
"bl__LDL_ApoB_ratio",
"bl__CystatinC_AD",
"cbc__White_blood_cell_count",
"cbc__Red_blood_cell_count",
"cbc__Hemoglobin",
"cbc__Hematocrit",
"cbc__MCV",
"cbc__MCH",
"cbc__MCHC",
"cbc__RDW",
"cbc__Platelet_count",
"cbc__Neutrophil_count",
"cbc__Lymphocyte_count",
"cbc__Monocyte_count",
"cbc__Eosiniphill_count",
"cbc__Basophil_count",
"cbc__Neutrophil_percent",
"cbc__Lymphocyte_percent",
"cbc__Monocyte_percent",
"cbc__Eosiniphill_percent",
"cbc__Basophil_percent"
],
"obs_code": [
"smoking-pack-years_find_pt_^patient_qn_calculated",
"body-mass-index_ratio_pt_^patient_qn_calculated",
"body-height_len_pt_^patient_qn_stated",
"body-weight_mass_pt_^patient_qn__30dmed",
"intravascular-diastolic_pres_pt_arterial-system_qn_60dmed",
"intravascular-systolic_pres_pt_arterial-system_qn_60dmed",
"grip-strength-age-adjusted_force_pt_hand.both_qn_calculated",
"grip-strength_force_pt_hand.both_qn_avg",
"grip-strength_pctdiff_pt_hand.both_qn_calculated",
"heart-rate^resting_nrat_pt_xxx_qn_60dmed",
"albumin_mcnc_pt_ser-plas_qn_",
"alkaline-phosphatase_ccnc_pt_ser-plas_qn_",
"alanine-aminotransferase_ccnc_pt_ser-plas_qn_",
"apolipoprotein-a-i_mcnc_pt_ser-plas_qn_",
"apolipoprotein-b_mcnc_pt_ser-plas_qn_",
"aspartate-aminotransferase_ccnc_pt_ser-plas_qn_",
"aspartate-aminotransferase-div-alanine-aminotransferase_rto_pt_ser-plas_qn_calculated",
"urea-nitrogen_mcnc_pt_ser-plas_qn_",
"calcium_mcnc_pt_ser-plas_qn_",
"creatinine_mcnc_pt_ser-plas_qn_",
"c-reactive-protein_mcnc_pt_ser-plas_qn_",
"cystatin-c_mcnc_pt_ser-plas_qn_",
"gamma-glutamyl-transferase_ccnc_pt_ser-plas_qn_",
"glucose_mcnc_pt_ser-plas_qn_",
"hemoglobin-a1c-hemoglobin.total_mfr_pt_bld_qn_",
"cholesterol.in-hdl_mcnc_pt_ser-plas_qn_",
"insulin-like-growth-factor-i_mcnc_pt_ser-plas_qn_",
"cholesterol.in-ldl_mcnc_pt_ser-plas_qn_calculated",
"lipoprotein-(little-a)_scnc_pt_ser-plas_qn_",
"sex-hormone-binding-globulin_scnc_pt_ser-plas_qn_",
"bilirubin_mcnc_pt_ser-plas_qn_",
"testosterone_mcnc_pt_ser-plas_qn_",
"protein_mcnc_pt_ser-plas_qn_",
"triglyceride_mcnc_pt_ser-plas_qn_",
"urate_mcnc_pt_ser-plas_qn_",
"calcidiol+ercalcidiol_mcnc_pt_ser-plas_qn_",
"urea-nitrogen-div-creatinine_rto_pt_ser-plas_qn_calculated",
"cholesterol.in-ldl-div-apolipoprotein-b_rto_pt_ser-plas_qn_calculated",
"cystatin-c-age-adjusted_mcnc_pt_ser-plas_qn_calculated",
"leukocytes_ncnc_pt_bld_qn_automated-count",
"erythrocytes_ncnc_pt_bld_qn_automated-count",
"hemoglobin_mcnc_pt_bld_qn_",
"hematocrit_vfr_pt_bld_qn_automated-count",
"erythrocyte-mean-corpuscular-volume_entvol_pt_rbc_qn_automated-count",
"erythrocyte-mean-corpuscular-hemoglobin_entmass_pt_rbc_qn_automated-count",
"erythrocyte-mean-corpuscular-hemoglobin-concentration_mcnc_pt_rbc_qn_automated-count",
"erythrocyte-distribution-width_ratio_pt_rbc_qn_automated-count",
"platelets_ncnc_pt_bld_qn_automated-count",
"neutrophils_ncnc_pt_bld_qn_automated-count",
"lymphocytes_ncnc_pt_bld_qn_automated-count",
"monocytes_ncnc_pt_bld_qn_automated-count",
"eosinophils_ncnc_pt_bld_qn_automated-count",
"basophils_ncnc_pt_bld_qn_automated-count",
"neutrophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"lymphocytes-100-leukocytes_nfr_pt_bld_qn_automated-count",
"monocytes-100-leukocytes_nfr_pt_bld_qn_automated-count",
"eosinophils-100-leukocytes_nfr_pt_bld_qn_automated-count",
"basophils-100-leukocytes_nfr_pt_bld_qn_automated-count"
],
"biomarker_percentile": [
"60.14797040591881",
"0.664224329783956",
"99.75690759064608",
"22.587051049405964",
"21.14981424945746",
"24.47125464376356",
"61.41378837719298",
"64.68955592105263",
"57.60731346874248",
"48.07076911759297",
"87.2642250864508",
"41.67454717392886",
"20.136208026804574",
"99.72054945487464",
"7.820592881019726",
"42.07698212523303",
"82.28519195612432",
"46.89830816809169",
"47.036396509708354",
"40.130980534837185",
"0.4449307075127644",
"40.024012224405155",
"43.6287534121929",
"31.6692238089618",
"24.134131560583246",
"99.8151498466137",
"44.846888376687524",
"20.652570178636527",
"60.845696656231574",
"91.17204215864966",
"76.20874904067536",
"72.89105786518915",
"36.31036652509045",
"21.96285506190823",
"24.98270400174781",
"49.06639397038216",
"54.678117835437966",
"98.8440157567279",
"44.64818453030634",
"41.109007109936044",
"37.56475758333631",
"34.19914966594019",
"36.66440387295008",
"59.80563792918646",
"48.05102004358856",
"46.66285550950408",
"54.03551395190968",
"34.73150166136696",
"43.57973867907643",
"30.656882047610523",
"45.39466618936817",
"55.29622337569358",
"71.03991408627171",
"53.16269912296402",
"43.926973330946836",
"58.41059602649007",
"62.39484517630213",
"70.69267943440128"
]
},
"errors": null
}
],
"validations": [
{
"id": "9f3f83a5-5cc4-4012-9451-717bd5d61331",
"obs_code": "age_time_pt_^patient_qn_stated",
"obs_code_ext": "",
"qa_status": "PASS",
"message": "Valid entry",
"return_code": "valid_entry",
"severity": ""
},
{
"id": "a1cae68a-5540-42e8-a8a4-d1b4b6d5dcc2",
"obs_code": "body-height_len_pt_^patient_qn_stated",
"obs_code_ext": "3138-5",
"qa_status": "PASS",
"message": "Valid entry",
"return_code": "valid_entry",
"severity": ""
},
{
"id": "a795e7eb-e756-4d35-bfa8-a96715b25b1c",
"obs_code": "body-weight_mass_pt_^patient_qn_stated",
"obs_code_ext": "3142-7",
"qa_status": "PASS",
"message": "Valid entry",
"return_code": "valid_entry",
"severity": ""
},
{
"id": "ada8bd35-1b72-4333-a988-33823719aed6",
"obs_code": "sex-assigned^at-birth_type_pt_^patient_nom_stated",
"obs_code_ext": "",
"qa_status": "PASS",
"message": "Valid entry",
"return_code": "valid_entry",
"severity": ""
},
{
"id": "434924a0-45a4-4ed0-9669-d4c309722334",
"obs_code": "smoking-pack-years_find_pt_^patient_qn_calculated",
"obs_code_ext": "",
"qa_status": "PASS",
"message": "Valid entry",
"return_code": "valid_entry",
"severity": ""
},
{
"id": "fc8d1518-ec5d-4bc8-aa25-037ab8b87ca0",
"obs_code": "albumin_mcnc_pt_ser-plas_qn_",
"obs_code_ext": "1751-7",
"qa_status": "PASS",
"message": "Valid entry",
"return_code": "valid_entry",
"severity": ""
},
{
"id": "9aad422b-a454-4513-89c9-7c22b342c624",
"obs_code": "cholesterol.in-hdl_mcnc_pt_ser-plas_qn_",
"obs_code_ext": "2085-9",
"qa_status": "PASS",
"message": "Valid entry",
"return_code": "valid_entry",
"severity": ""
}
]
}
]
}The disease_obs_code field contains the disease groupings for which the scores, risks or ages have been calculated. The definition of these can be found in the subsequent pages in the Schema Reference section.
Each data object represents the scoring events for a particular user, represented by the uid_ext field. Any errors encountered during the scoring process will be written to the errors array (string).
Updated 23 days ago