Example cases

What an assessment actually looks like

Rather than publish testimonials we cannot verify, here are worked examples: the numbers going in, what the models return, and what the app suggests next.

Illustrative examples, not real patients. These cases are constructed to show how the app behaves. No real user data appears on this page, and none of it is medical advice.

42-year-old man, office job, father with type 2 diabetes

Inputs

  • Fasting glucose 108 mg/dL
  • HbA1c 6.1%
  • Waist 102 cm, BMI 29.4
  • Blood pressure 134/86

What Vitals returns

Flagged as pre-diabetic range with three of five metabolic syndrome criteria met. First-degree family history raises the weighted diabetes score, and HOMA-IR from a paired insulin result would confirm insulin resistance.

Suggested next step

Weight and waist targets in the action plan, a repeat HbA1c in three months on the reminder calendar, and a trend chart to see whether the numbers move.

56-year-old woman, non-smoker, treated hypertension

Inputs

  • Total cholesterol 248 mg/dL, LDL 162, HDL 48
  • Blood pressure 142/88 on medication
  • No diabetes

What Vitals returns

Hyperlipidemia flagged on LDL, with a 10-year ASCVD estimate in the intermediate band. QRISK3 is calculated alongside it so the two models can be compared rather than trusted blindly.

Suggested next step

A doctor-ready PDF with the inputs, both scores and the published sources, so the conversation about statin therapy starts from numbers rather than memory.

34-year-old woman, mother and maternal aunt with breast cancer

Inputs

  • Family health tree: two first- and second-degree relatives affected
  • No known BRCA testing
  • Normal biomarkers

What Vitals returns

The family tree weighting raises her lifetime breast cancer estimate above the population baseline and surfaces the referral criteria used by the built-in cancer models.

Suggested next step

A referral pack summarising the pedigree for a genetics clinic, plus an earlier screening schedule on the calendar.

61-year-old man with long-standing type 2 diabetes

Inputs

  • Creatinine 1.6 mg/dL
  • Age 61, male
  • On metformin and an NSAID for back pain

What Vitals returns

CKD-EPI 2021 places his eGFR in a reduced-function category, and the medication check flags the NSAID as kidney-impacting alongside a metformin dosing note.

Suggested next step

A one-page 'questions for my clinician' summary, a follow-up reminder tied to his calendar, and an eGFR trend chart across repeat tests.

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