A Health Survey–Based Prediction Equation for Incident CKD. Issue 1 (January 2023)
- Record Type:
- Journal Article
- Title:
- A Health Survey–Based Prediction Equation for Incident CKD. Issue 1 (January 2023)
- Main Title:
- A Health Survey–Based Prediction Equation for Incident CKD
- Authors:
- Noel, Ariana J.
Eddeen, Anan Badder
Manuel, Douglas G.
Rhodes, Emily
Tangri, Navdeep
Hundemer, Gregory L.
Tanuseputro, Peter
Knoll, Gregory A.
Mallick, Ranjeeta
Sood, Manish M. - Abstract:
- Visual Abstract: Abstract : Background: Prediction tools that incorporate self-reported health information could increase CKD awareness, identify modifiable lifestyle risk factors, and prevent disease. We developed and validated a survey-based prediction equation to identify individuals at risk for incident CKD (eGFR <60 ml/min per 1.73 m 2 ), with and without a baseline eGFR. Methods: A cohort of adults with an eGFR ≥70 ml/min per 1.73 m 2 from Ontario, Canada, who completed a comprehensive general population health survey between 2000 and 2015 were included ( n =22, 200). Prediction equations included demographics (age, sex), comorbidities, lifestyle factors, diet, and mood. Models with and without baseline eGFR were derived and externally validated in the UK Biobank ( n =15, 522). New-onset CKD (eGFR <60 ml/min per 1.73 m 2 ) with ≤8 years of follow-up was the primary outcome. Results: Among Ontario individuals (mean age, 55 years; 58% women; baseline eGFR, 95 (SD 15) ml/min per 1.73 m 2 ), new-onset CKD occurred in 1981 (9%) during a median follow-up time of 4.2 years. The final models included lifestyle factors (smoking, alcohol, physical activity) and comorbid illnesses (diabetes, hypertension, cancer). The model was discriminating in individuals with and without a baseline eGFR measure (5-year c-statistic with baseline eGFR: 83.5, 95% confidence interval [CI], 82.2 to 84.9; without: 81.0, 95% CI, 79.8 to 82.4) and well calibrated. In external validation, the 5-yearVisual Abstract: Abstract : Background: Prediction tools that incorporate self-reported health information could increase CKD awareness, identify modifiable lifestyle risk factors, and prevent disease. We developed and validated a survey-based prediction equation to identify individuals at risk for incident CKD (eGFR <60 ml/min per 1.73 m 2 ), with and without a baseline eGFR. Methods: A cohort of adults with an eGFR ≥70 ml/min per 1.73 m 2 from Ontario, Canada, who completed a comprehensive general population health survey between 2000 and 2015 were included ( n =22, 200). Prediction equations included demographics (age, sex), comorbidities, lifestyle factors, diet, and mood. Models with and without baseline eGFR were derived and externally validated in the UK Biobank ( n =15, 522). New-onset CKD (eGFR <60 ml/min per 1.73 m 2 ) with ≤8 years of follow-up was the primary outcome. Results: Among Ontario individuals (mean age, 55 years; 58% women; baseline eGFR, 95 (SD 15) ml/min per 1.73 m 2 ), new-onset CKD occurred in 1981 (9%) during a median follow-up time of 4.2 years. The final models included lifestyle factors (smoking, alcohol, physical activity) and comorbid illnesses (diabetes, hypertension, cancer). The model was discriminating in individuals with and without a baseline eGFR measure (5-year c-statistic with baseline eGFR: 83.5, 95% confidence interval [CI], 82.2 to 84.9; without: 81.0, 95% CI, 79.8 to 82.4) and well calibrated. In external validation, the 5-year c-statistic was 78.1 (95% CI, 74.2 to 82.0) and 66.0 (95% CI, 61.6 to 70.4), with and without baseline eGFR, respectively, and maintained calibration. Conclusions: Self-reported lifestyle and health behavior information from health surveys may aid in predicting incident CKD. Podcast: This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast.aspx?p=CJASN&e=2023_01_10_CJN05650522.mp3 … (more)
- Is Part Of:
- Clinical journal of the American Society of Nephrology. Volume 18:Issue 1(2023)
- Journal:
- Clinical journal of the American Society of Nephrology
- Issue:
- Volume 18:Issue 1(2023)
- Issue Display:
- Volume 18, Issue 1 (2023)
- Year:
- 2023
- Volume:
- 18
- Issue:
- 1
- Issue Sort Value:
- 2023-0018-0001-0000
- Page Start:
- 28
- Page End:
- 35
- Publication Date:
- 2023-01
- Subjects:
- prediction -- epidemiology and outcomes -- lifestyle -- health surveys -- CKD
- DOI:
- 10.2215/CJN.0000000000000035 ↗
- Languages:
- English
- ISSNs:
- 1555-9041
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 26393.xml