Correlative study on the spectrum, characteristics and trend of unexplained fever in a hospital in Xinjiang

Abstract

Objective A retrospective analysis was carried out for the classification and characteristics of fever of unknown origin, and its trend in recent years. Methods A total of 1 192 patients with fever of unknown origin, who were admitted to the First Affiliated Hospital of Xinjiang Medical University from January 2010 to December 2016, were enrolled in this study. Descriptive analysis of the proportion, characteristics, and trend different diseases in the fever of unknown origin was performed. Results A total of 1 080 cases was diagnosed in 1 192 patients, with a diagnosis rate of 90.6%. The final diagnoses included infections, inflammatory diseases, malignancies and miscellaneous conditions in 72.9%, 9.1%, 5.1% and 3.4% of subjects, whereas 9.4% of cases remained undiagnosed. The results of variance analysis showed that the white blood cells and hemoglobin of infectious diseases were higher than those of connective tissue disease and malignancy were respectively [(11.12±2.58)×109/L vs (8.82±1.12)×109/L vs (9.67±2.76)×109/L, (116.81±20.77)g/L vs (103.25±22.84)g/L vs (102.30±25.14)g/L], While period of hospitalization and erythrocyte sedimentation rate were lower than that of connective tissue disease and malignancy were respectively [(12.15±7.91)days vs (19.94±10.17)days vs (18.85±14.37)days, (48.12±20.93)mm/h vs (58.13±20.24)mm/h vs (56.9±20.52)mm/h], and the age of malignant was higher than that of infectious disease and connective tissue disease were [(56.38±17.57)years vs (45.99±16.79)years vs (41.09±16.79)years], the difference was statistically significant (P<0.05). The rank sum test showed that eosinophils, lymphocytes and interleukin-6 were not equal (P<0.05). Conclusions Infectious diseases in fever of unknown origin (FUO) are still the main cause. whereas blood cells, eosinophils, lymphocytes, hemoglobin, erythrocyte sedimentation rate, interleukin 6, age and hospitalization time were predictive of disease diagnosis. In recent years, there was no obvious trend of all kinds of diseases. Key words: Fever/ET/EP; Hospitals/SN