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Pulmonary Medicine
Volume 2013, Article ID 581973, 6 pages
Research Article

The Pattern of Respiratory Disease Morbidity and Mortality in a Tertiary Hospital in Southern-Eastern Nigeria

1Department of Internal Medicine, University of Uyo, Uyo, Akwa Ibom State, Nigeria
2University of Calabar, Nigeria
3Department of Internal Medicine, University of Calabar, Nigeria

Received 31 July 2013; Revised 24 October 2013; Accepted 13 November 2013

Academic Editor: Hisako Matsumoto

Copyright © 2013 Victor Aniedi Umoh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Background. Respiratory complaints are commonly encountered in medicine and respiratory diseases place a high burden on healthcare infrastructure. Healthcare planning should be based on adequate information: this study will help us to analyze the pattern of respiratory disease admissions in the medical wards in a developing country. Methods. The medical records of patients admitted into the medical wards over a 5-year period were retrieved and reviewed. Information obtained included demography, diagnosis, comorbid conditions, and risk factors for respiratory disease. Results. Three thousand four hundred and ninety patients were admitted into the medical wards with 325 (9.3%) of them diagnosed with a respiratory condition. There were 121 females and 204 males. The average age of the patients was 40.7 ± 14.7 years. Only 7% of the patients smoked cigarette. The commonest respiratory conditions were tuberculosis (66.8%) and pneumonia (24.9%). The commonest comorbidity was HIV infection (39.7%). Tuberculosis/HIV coinfection rate was 50.7%. HIV infection was the single most important predictor of an adverse outcome (OR 5.1, 95% CI 2.05–12.7, ). Conclusion. Infective conditions make up a large percentage of respiratory diseases in low income countries with HIV infection constituting a significant risk factor for a poor disease outcome.