PHD Progress Of Disease In Prediabetic And Prehypertensive Patients In Malawi: Assessment Of Risk Factors And Complications 2017-18 (Karonga and Lilongwe combined analytical dataset)

Malawi

Get Microdata

Reference ID

MWI-MEIRU-combined-PHD-data-v01

Collections

Combined / Harmonized Datasets Karonga HDSS Lilongwe HDSS

Metadata

DDI/XML JSON

Created on

Nov 14, 2025

Last modified

Nov 15, 2025

Page views

34593

Downloads

eGFR (D) (eGFR)

Data file: phd_combined_final

Overview

Valid: 509

Invalid: 356

Type: Continuous

Decimal: 0

Start: 706

End: 721

Width: 16

Range: 44.3264122009277 - 170846126080

Format: Numeric

Description

Definition

eGFR

Imputation and derivation

Derivation

variable: sex (table[s]: gen_identity_clean [derived table], genl_identity_clean [derived table])
variable: creat_units (table[s]: ser_electrolytes, lab_electrolytes)
variable: age (table[s]: this dataset)
gen SCr=screat_units/88.4
gen K=0.7 if sex==1
replace K=0.9 if sex==0
gen a=-0.329 if sex==1
replace a=-0.411 if sex==0
gen minA=SCr/K
gen min=1
replace min=minA if minA<1
gen maxA=SCr/K
gen max=1
replace max=maxA if maxA>1
gen agefactor=0.993^age
gen sexfactor=1.018 if sex==1
replace sexfactor=1 if sex==0
gen ethnicityfactor=1.159
gen eGFR=141*(min^a)*(max^-1.209)*agefactor*sexfactor

Back to Catalog