Clinical Identification of Geriatric Patients with Hypovitaminosis D: The 'Vitamin D Status Predictor for Geriatrics' Study.
Nutrients. 2017 Jun 27;9(7). pii: E658. doi: 10.3390/nu9070658.
Annweiler C1,2, Riou J3,4, Alessandri A5, Gicquel D6, Henni S7, Féart C8, Kabeshova A9.
Questions were asked of the elderly in the hospital setting
And compared to actual vitamin D tests
Machine Learning (ML) as used to determine the precise importance of each answer
ML is not constrained to having linear associations
ML was best at predicting extreme deficiency (less than 10 ng)
VitaminDWiki - Predict Vitamin D category contains
It is very difficult to predict the response to supplementation of Vitamin D, or additional sun/UV
There are a huge number of factors involved.
This page also has studies predicting deficiency without Vitamin D tests
- Predicted Vitamin D levels for health young women had 95% accuracy using neural network (paywall) – July 2024
- Vitamin D deficiency predicted with 91% accuracy ( AI, age, paywall) - April 2024
- Predictors of low vitamin D: race, age, and BMI (confirmed now by Machine Learning) – Feb 2024
- Low Vitamin D during pregnancy identified with just 5 questions (for less than 12 ng) – June 2022
- Top 10 signs of Vitamin D Deficiency (9 minute Video) - Oct 2021
- Estimate Vitamin D levels based on questionnaires (12 studies) – July 2020
- Is a senior Vitamin D insufficient - a 2 minute questionnaire is 85 percent accurate – Nov 2019
- Simple Vitamin D deficiency scoring system – Feb 2016
- Toward predicting vitamin D levels without a blood test. by VitaminDWiki
- Excellent prediction of very low vitamin D in elderly from just 16 questions (analyzed by ML) – June 2017
- Quick, FREE, self-test for Vitamin D deficiency 90% chance <20 ng
Download the PDF from VitaminDWiki
The 16-item Vitamin D Status Predictor (VDSP) tool identifies healthy older community-dwellers at risk of hypovitaminosis D and may guide the use of blood tests in this population. The objective of the present hospital-based study was to test the efficacy of the VDSP to identify geriatric patients with hypovitaminosis D.
The study included 199 nonsupplemented geriatric in- and outpatients consecutively admitted to Angers University Hospital, France (mean ± SD, 82.0 ± 7.8 years; 53.3% female). Serum 25-hydroxyvitaminD (25(OH)D) was measured at the time of the physician-administered VDSP. Hypovitaminosis D was defined as serum 25(OH)D concentration ≤ 75 nmol/L for vitamin D insufficiency, 25(OH)D ≤ 50 nmol/L for vitamin D deficiency, and 25(OH)D ≤ 25 nmol/L for severe vitamin D deficiency. We found that 184 participants (92.4%) had vitamin D insufficiency, 136 (68.3%) had vitamin D deficiency, and 67 (33.7%) had severe vitamin D deficiency. The VDSP identified severe vitamin D deficiency with an area under curve (AUC) = 0.83 and OR = 24.0. The VDSP was able to identify vitamin D deficiency and vitamin D insufficiency with less accuracy (AUC = 0.71 and AUC = 0.73, respectively). In conclusion, the 16-item VDSP is a short questionnaire that accurately identifies geriatric patients with severe vitamin D deficiency. This tool may guide the use of blood collection for determining geriatric patients' vitamin D status.
Questions
Gender,
age (in years),
number of therapeutic classes used per day,
body mass index (BMI, in kg/m2),
use walking aids,
use psychoactive drugs (i.e., benzodiazepines, anti-depressants or neuroleptics),
wearing glasses,
sad mood,
fear of falling,
history of falls in the preceding year,
cognitive disorders,
Undernutrition,
Polymorbidity,
History of vertebral fractures,
living alone,
use anti-osteoporotic drugs (i.e., bisphosphonates, strontium, or calcium)
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