Personalized prediction for a 70 year old woman who takes Lipitor, Advil (an AI-powered real world drug study)

Summary:

This is a personalized prediction of potential side effects and undetected conditions for up to one year, if you would have adverse effects. The study is created by eHealthMe based on data from the FDA.

What are the drugs?

Lipitor has active ingredients of atorvastatin calcium. It is often used in high blood cholesterol. eHealthMe is studying from 259,019 Lipitor users. Check the latest studies of Lipitor.
Advil has active ingredients of ibuprofen. It is often used in pain. eHealthMe is studying from 62,528 Advil users. Check the latest studies of Advil.

What are the conditions?

High blood cholesterol is found to be associated with 2,339 drugs and 3,539 conditions by eHealthMe. Check the latest studies of High blood cholesterol.
Pain is found to be associated with 3,810 drugs and 5,807 conditions by eHealthMe. Check the latest studies of Pain.

What are the symtoms?

Fainting (loss of consciousness and postural tone) is found to be associated with 2,516 drugs and 3,504 conditions by eHealthMe. Check the latest studies of Fainting.
Gerd (gastro-oesophageal reflux disease) is found to be associated with 3,426 drugs and 3,420 conditions by eHealthMe. Check the latest studies of Gerd.

Potential side effects:

Diarrhea

5.37% for females aged 70 (±5) who have pain and high blood cholesterol

Dizziness

5.03% for females aged 70 (±5) who have pain and high blood cholesterol

Drug ineffective

6.54% for females aged 70 (±5) who have pain and high blood cholesterol
5.01% for females aged 70 (±5) who take lipitor
5.01% for females aged 70 (±5) who take advil

Dyspnea

5.29% for females aged 70 (±5) who have pain

Fall

5.78% for females aged 70 (±5) who have pain

Fatigue

6.05% for females aged 70 (±5) who have pain and high blood cholesterol
5.32% for females aged 70 (±5) who take lipitor
5.32% for females aged 70 (±5) who take advil

Joint pain

5.17% for females aged 70 (±5) who have pain

Malaise

5.08% for females aged 70 (±5) who have pain

Muscle aches

5.23% for females aged 70 (±5) who have high blood cholesterol

Nausea

6.26% for females aged 70 (±5) who have pain and high blood cholesterol
5.55% for females aged 70 (±5) who take lipitor
5.55% for females aged 70 (±5) who take advil

Nausea and vomiting

5.31% for females aged 70 (±5) who have pain

Pain

6.63% for females aged 70 (±5) who have pain and high blood cholesterol

Pain in extremity

5.11% for females aged 70 (±5) who have pain and high blood cholesterol

Weakness

5.53% for females aged 70 (±5) who have pain and high blood cholesterol

Potential co-existing conditions:

Anticoagulant therapy

5.2% for females aged 70 (±5) who have fainting with pain and high blood cholesterol

Antiinflammatory therapy

5.14% for females aged 70 (±5) who have fainting with pain

Atrial fibrillation/flutter

6.16% for females aged 70 (±5) who have fainting with pain

Bone disorder

6.31% for females aged 70 (±5) who have gerd with high blood cholesterol

Gastric disorder

5.14% for females aged 70 (±5) who have fainting with pain

Hypersensitivity

5.02% for females aged 70 (±5) who have gerd with pain and high blood cholesterol

Infection

6.55% for females aged 70 (±5) who have gerd with pain and high blood cholesterol

Joint pain

7.19% for females aged 70 (±5) who have fainting with pain

Muscle spasms

5.56% for females aged 70 (±5) who have gerd with pain

Oedema

5.16% for females aged 70 (±5) who have gerd with pain

Primary pulmonary hypertension

6.26% for females aged 70 (±5) who take lipitor and advil and have fainting

Supplementation therapy

5.54% for females aged 70 (±5) who have fainting with high blood cholesterol

Vitamin supplementation

5.21% for females aged 70 (±5) who have gerd with high blood cholesterol

How to use the study?

DO NOT STOP MEDICATIONS without first consulting your doctor. If there are any serious or long term adverse effects discovered in the study, discuss the study with your doctor to ensure that proper medication management will be in place if applicable.

How the study uses the data?

The study is based on gender, age, active ingredients of any drugs used, and more. Other drugs that have the same active ingredients (e.g. generic drugs) are considered.

Who is eHealthMe?

With medical big data and proven AI/ML algorithms, eHealthMe provides a platform for everyone to run phase IV clinical trials. We study millions of patients and 5,000 more each day. Results of our real-world drug study have been referenced on 800+ peer-reviewed medical publications, including The Lancet, Mayo Clinic Proceedings, and Nature. Our analysis results are available to researchers, health care professionals, patients (testimonials), and software developers (open API).

Related publications that referenced our studies

Moslim MA, Sodeman TC, Nawras AT, "A Case of Suggested Ibuprofen-Induced Acute Pancreatitis", American journal of therapeutics, 2016 Nov .
Proti? D, Balti? S, Stupar N, Pavlov-Dolijanovi? S, Mugo?a S, Todorovi? Z, "A case of myositis with immunological background associated with statin use", Open Medicine, 2014 Oct .
Goldie MP, "Atorvastatin: a new treatment for periodontal disease?", , 2012 Jan .

WARNING, DISCLAIMER, USE FOR PUBLICATION

WARNING: Please DO NOT STOP MEDICATIONS without first consulting a physician since doing so could be hazardous to your health.

DISCLAIMER: All material available on eHealthMe.com is for informational purposes only, and is not a substitute for medical advice, diagnosis, or treatment provided by a qualified healthcare provider. All information is observation-only. Our phase IV clinical studies alone cannot establish cause-effect relationship. Different individuals may respond to medication in different ways. Every effort has been made to ensure that all information is accurate, up-to-date, and complete, but no guarantee is made to that effect. The use of the eHealthMe site and its content is at your own risk.

If you use this eHealthMe study on publication, please acknowledge it with a citation: study title, URL, accessed date.