Type 2 diabetes mellitus and Paranasal sinus hypersecretion
Paranasal sinus hypersecretion is found among people with Type 2 diabetes mellitus, especially for people who are female, 60+ old.
The study analyzes which people have Paranasal sinus hypersecretion with Type 2 diabetes mellitus. It is created by eHealthMe based on reports of 63 people who have Type 2 diabetes mellitus from the Food and Drug Administration (FDA), and is updated regularly. You can use the study as a second opinion to make health care decisions.
Phase IV trials are used to detect adverse drug outcomes and monitor drug effectiveness in the real world. With medical big data and AI algorithms, eHealthMe is running millions of phase IV trials and makes the results available to the public. Our original studies have been referenced on 600+ medical publications including The Lancet, Mayo Clinic Proceedings, and Nature.
63 people who have Type 2 Diabetes Mellitus and Paranasal Sinus Hypersecretion are studied.
What is Type 2 diabetes mellitus?
Type 2 diabetes mellitus is found to be associated with 2,411 drugs and 1,883 conditions by eHealthMe.
What is Paranasal sinus hypersecretion?
Paranasal sinus hypersecretion is found to be associated with 729 drugs and 393 conditions by eHealthMe.
Number of Paranasal sinus hypersecretion in Type 2 diabetes mellitus reports submitted per year:
Gender of people who have Type 2 Diabetes Mellitus and experienced Paranasal Sinus Hypersecretion *:
- female: 59.68 %
- male: 40.32 %
Age of people who have Type 2 Diabetes Mellitus and experienced Paranasal Sinus Hypersecretion *:
- 0-1: 0.0 %
- 2-9: 0.0 %
- 10-19: 0.0 %
- 20-29: 0.0 %
- 30-39: 1.96 %
- 40-49: 5.88 %
- 50-59: 21.57 %
- 60+: 70.59 %
Common co-existing conditions for these people *:
- High Blood Pressure: 7 people, 11.11%
- Gastroesophageal Reflux Disease (a condition in which stomach contents leak backward from the stomach into the oesophagus): 6 people, 9.52%
- High Blood Cholesterol: 5 people, 7.94%
- Asthma: 5 people, 7.94%
- Cough: 5 people, 7.94%
- Sleep Disorder: 4 people, 6.35%
- Hyperlipidaemia (presence of excess lipids in the blood): 4 people, 6.35%
- Chronic Lymphocytic Leukaemia (cancer in which the bone marrow makes too many lymphocytes (a type of white blood cell)): 4 people, 6.35%
- Kidney Stones: 4 people, 6.35%
- Neuropathy Peripheral (surface nerve damage): 4 people, 6.35%
Common drugs taken by these people *:
- Byetta: 28 people, 44.44%
- Metformin: 17 people, 26.98%
- Glyburide: 5 people, 7.94%
- Janumet: 5 people, 7.94%
- Januvia: 5 people, 7.94%
- Prevacid: 4 people, 6.35%
- Benadryl: 4 people, 6.35%
- Imbruvica: 4 people, 6.35%
- Fish Oil: 4 people, 6.35%
- Lovaza: 4 people, 6.35%
Common symptoms for these people *:
- Nasopharyngitis (inflammation of the nasopharynx): 16 people, 25.40%
- Blood Glucose Increased: 14 people, 22.22%
- Nausea (feeling of having an urge to vomit): 13 people, 20.63%
- Cough: 12 people, 19.05%
- Sinusitis (inflammation of sinus): 12 people, 19.05%
- Diarrhea: 11 people, 17.46%
- Weight Decreased: 10 people, 15.87%
- Dizziness: 9 people, 14.29%
- Upper Respiratory Tract Infection: 8 people, 12.70%
- Nausea And Vomiting: 8 people, 12.70%
* Approximation only. Some reports may have incomplete information.
Do you take medications and have Paranasal sinus hypersecretion?Check whether Paranasal sinus hypersecretion is associated with a drug or a condition
How to use the study?
You can discuss the study with your doctor, to ensure that all drug risks and benefits are fully discussed and understood.
Related publications that referenced our studies
- Liao KF, Lin CL, Lai SW, Chen WC, "Sitagliptin use and risk of acute pancreatitis in type 2 diabetes mellitus: a population-based case-control study in Taiwan", European journal of internal medicine, 2016 Jan .
- Telfer SJ, "Fluoroquinolone antibiotics and type 2 diabetes mellitus", Medical hypotheses, 2014 Sep .
- Meng X, Yang JJ, "Visual Analysis for Type 2 Diabetes Mellitus–Based on Electronic Medical Records", InInternational Conference on Smart Health, 2014 Jul .
Treatments, associated drugs and conditions:
COVID vaccines that are related to Paranasal sinus hypersecretion:
- Paranasal sinus hypersecretion in Moderna COVID Vaccine
- Paranasal sinus hypersecretion in Pfizer BioNTech Covid Vaccine
- Paranasal sinus hypersecretion in Johnson and Johnson Covid Vaccine
Common drugs associated with Paranasal sinus hypersecretion:
All the drugs that are associated with Paranasal sinus hypersecretion:
- Paranasal sinus hypersecretion (729 drugs)
Common conditions associated with Paranasal sinus hypersecretion:
All the conditions that are associated with Paranasal sinus hypersecretion:
- Paranasal sinus hypersecretion (393 conditions)
How the study uses the data?
The study is based on Paranasal sinus hypersecretion and Type 2 diabetes mellitus, and their synonyms.
Who is eHealthMe?
With medical big data and proven AI 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 600+ 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).
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.
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