Background: Chronic cough is often the key
symptom not only of chronic pulmonary diseases
but for other important extrapulmonary
pathologies, in particular upper airway and
gastrointestinal diseases.
Objective: This study was designed to
determine the etiology of chronic cough and the
usefulness of the available diagnostic tests in
reaching its causes.
Methods: One hundred patients presenting with
chronic cough at Baghdad Teaching Hospital
Outpatient Clinic were enrolled in this study. The
patients underwent a full clinical interview,
physical examination with indicated diagnostic
test(s) (such as chest x ray, bronchoscope, PFT,
GIT study, sinus X ray or CT).
Results: An etiology of chronic cough was
determined in 93% of the patients. Post nasal drip
is the leading cause of chronic cough reported in
31% of the patient, while asthma gastroesophageal
reflux disease, and chronic bronchitis
seen in (26, 20, and 6 % respectively).
The diagnosis of chronic cough can be reached by
comprehensive history, proper physical
examination, and chest X ray findings in 66 %
patients, further more sophisticated and invasive
tests like: PFT, upper GIT study , expectorated
sputum examination (AFB, Gram staining,
cytology), fibrooptic bronchoscope, and full ENT
evaluation including sinuses X ray or sinuses CT
scanning, are need in the rest.
Conclusion: The etiology of chronic cough can
often be diagnosed safely with a simple initial
evaluation (history, physical examination and
chest X-ray). Postnasal drip, asthma and
gastroesophageal reflux disease account for the
etiology in more than three quarter of the patients.
The two most popular models inwell-known count regression models are Poisson and negative binomial regression models. Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression assumes the response variable Y has a Poisson distribution, and assumes the logarithm of its expected value can be modeled by a linear combination of unknown parameters. Negative binomial regression is similar to regular multiple regression except that the dependent (Y) variables an observed count that follows the negative binomial distribution. This research studies some factors affecting divorce using Poisson and negative binomial regression models. The factors are unemplo
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