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CSV Bulk calculations specifications: PHPT

This type of CSV allows to get, for each row, adjusted scores according to hyperparathyroidism according to age and sex.

Adjusting conventional FRAX estimates of fracture probability in primary hyperparathyroidism according to age and sex, excluding the time after parathyroidectomy (PTX). Note that these adjustments are made in the absence of BMD. There are insufficient data for providing adjustments with input of BMD.

Input Variables

A CSV input file should always have 13 columns. An optional header can be sent as first line of the CSV file:

Score unit,Country,Age,Sex,BMI,Previous fracture,Parental history,Current smoker,Gluccocorticoid,Rheumatoid Arthritis,Secondary osteoporosis,Alcohol,Femoral neck BMD

The first columns are the FRAX variables:

# Col Variable Description Possible Values
1 A Score unit Unit for variable 13 t: T-score, z: Z-score. Unit for parameter 13 (BMD) described below.
2 B Country Code for country and ethnicity Integer. Get valid countries' id from the API.
3 C Age Age in years Positive real number (40-90), can have decimals. Out of bound values will be capped.
4 D Sex Gender 0: men, 1: women
5 E BMI Body Mass Index Positive real number (kg/m²), can have decimals
6 F Previous fracture History of previous fracture 0: no, 1: yes
7 G Parental history Parent(s) with hip fracture history 0: no, 1: yes
8 H Current smoker Current smoking status 0: no, 1: yes
9 I Gluccocorticoid Gluccocorticoid use 0: no, 1: yes
10 J Rheumatoid Arthritis Presence of rheumatoid arthritis 0: no, 1: yes
11 K Secondary osteoporosis Presence of secondary osteoporosis 0: no, 1: yes
12 L Alcohol More than two drinks a day 0: no, 1: yes
13 M Femoral neck BMD Bone mineral density measurement Real number (T-score or Z-score). The T-score for both genders should be derived by comparing the individual BMD to the young normal FEMALE NHANES III reference range for the make of scanner that you are using.

No adjustment variable needed.

Output Results

Once processed, you will receive an output file with, for each row, the results append to the original line (the variables above).

# Col Result Description
14 N PHPT MOF wo BMD Adjusted MOF without BMD according to age and sex
15 O PHPT Hip wo BMD Adjusted HIP without BMD according to age and sex
16 P PHPT MOF w BMD Adjusted MOF with BMD according to age and sex
17 Q PHPT Hip w BMD Adjusted HIP with BMD according to age and sex

Output warning or error reporting

If an error for any adjustments of the row has been triggered, a specific message will be added at the end of the line.

# Col Processor messages
18 R Warning or error messages