Objective To analyze the status quo,clinical characteristics and prognostic factors of opportunistic infections in human immunodeficiency virus(HIV)infection/acquired immunodeficiency syndrome(AIDS)patients in Quanzhou for better prevention and treatment of opportunistic infections.Methods A total of 172 cases of HIV/AIDS patients with opportunistic infection treated in Quanzhou First Hospital Affiliated to Fujian Medical University from January 2017 to January 2022 were identified.Clinical data and opportunistic infection details of the patients were collected and reviewed.Multivariate Cox regression analysis was used to determine the independent prognostic factors for the prognosis of HIV/AIDS patients with opportunistic infection.Independent prognostic factors were introduced into R software to construct a Nomogram prediction model of prognosis based on the regression coefficients of each factor.A C-index was used to calibrate this model.The relationship between prognosis predicted by nomogram and actual outcome was illustrated by the calibration chart.The clinical performance of this nomogram model was verified by decision curve analysis(DCA).Results The opportunistic infection included bacterial pneumonia(54.65％),followed by oral leukoplakia(51.74％),Pneumocystis pneumonia(43.60％),herpes zoster(28.49％),tuberculosis(21.51％),infectious diarrhea(19.77％),central nervous system infection(12.79％),and cytomegalovirus infection(10.47％)in the 172 AIDS patients.The opportunistic infection was found in significantly more males than in females.Majority of the patients were 18-39 years of age.Age,number of infections,genotypic drug resistance,and CD4+T lymphocyte level were factors predicting the prognosis of AIDS patients with opportunistic infection.Calibration curves and DCA showed that the Nomogram prediction model performed well in terms of predictive ability,clinical validity,and discriminative ability.Conclusions Age,number of infections,genotypic drug resistance,and CD4+T lymphocyte level are the main factors predicting the prognosis of AIDS patients with opportunistic infection.The nomogram prediction model performs well in terms of predictive ability and clinical validity,which is useful for improving early detection,prevention and control.
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