Objective:To analyze the baseline characteristics and prognostic factors of Pneumocystis carinii pneumonia (PCP) in patients with liver diseases (LD), and to develop the nomogram prognosis model. Methods:The patients with liver diseases complicated with PCP (LD-PCP) who admitted to Beijing Youan Hospital, Capital Medical University from January 1st, 2021 to October 31st, 2024 were enrolled in this study. This study was a retrospective case-control study. Data were collected, including baseline characteristics at admission and clinical outcomes. Multivariate logistic regression analysis was employed to identify the independent risk factors of poor prognosis in LD-PCP patients. Subsequently, a nomogram was developed to construct the prognostic model. The performance of this model was evaluated using the receiver operater characteristic (ROC) curve and calibration curve.Results:A total of 61 patients with LD-PCP were enrolled, including 21 in the death group and 40 in the survival group. Multivariate logistic regression analysis revealed that co-infection with Aspergillus and elevated lactate dehydrogenase (LDH) levels were independent risk factors for mortality in patients with LD-PCP (odds ratio ( OR)=12.802, 95% confidence interval ( CI) 1.334 to 122.845, P=0.027; OR=1.009, 95% CI 1.002 to 1.016, P=0.014). The predictive value of prognostic model based on the nomogram was better evidenced by the ROC curve, which yielded an area under the curve (AUC) of 0.835 (95% CI 0.725 to 0.944), with the sensitivity of 71.4% and the specificity of 87.5%. The predictive accuracy of the model was further validated by the calibration curve, and the Brier value was 0.151, the model fitting line had a high degree of agreement with the standard reference line ( P=0.953). Conclusions:Co-infection with Aspergillus and LDH levels are independent risk factors for the poor prognosis of patients with LD-PCP. The prognosis model based on the nomogram has better predictive value and clinical practicality, which could identify high-risk patients in the early stage, and provide theoretical guidance on the patient management.

Objective:To analyze the baseline characteristics and prognostic factors of Pneumocystis carinii pneumonia (PCP) in patients with liver diseases (LD), and to develop the nomogram prognosis model. Methods:The patients with liver diseases complicated with PCP (LD-PCP) who admitted to Beijing Youan Hospital, Capital Medical University from January 1st, 2021 to October 31st, 2024 were enrolled in this study. This study was a retrospective case-control study. Data were collected, including baseline characteristics at admission and clinical outcomes. Multivariate logistic regression analysis was employed to identify the independent risk factors of poor prognosis in LD-PCP patients. Subsequently, a nomogram was developed to construct the prognostic model. The performance of this model was evaluated using the receiver operater characteristic (ROC) curve and calibration curve.Results:A total of 61 patients with LD-PCP were enrolled, including 21 in the death group and 40 in the survival group. Multivariate logistic regression analysis revealed that co-infection with Aspergillus and elevated lactate dehydrogenase (LDH) levels were independent risk factors for mortality in patients with LD-PCP (odds ratio ( OR)=12.802, 95% confidence interval ( CI) 1.334 to 122.845, P=0.027; OR=1.009, 95% CI 1.002 to 1.016, P=0.014). The predictive value of prognostic model based on the nomogram was better evidenced by the ROC curve, which yielded an area under the curve (AUC) of 0.835 (95% CI 0.725 to 0.944), with the sensitivity of 71.4% and the specificity of 87.5%. The predictive accuracy of the model was further validated by the calibration curve, and the Brier value was 0.151, the model fitting line had a high degree of agreement with the standard reference line ( P=0.953). Conclusions:Co-infection with Aspergillus and LDH levels are independent risk factors for the poor prognosis of patients with LD-PCP. The prognosis model based on the nomogram has better predictive value and clinical practicality, which could identify high-risk patients in the early stage, and provide theoretical guidance on the patient management.

Objective:To explore the correlation between tumor markers and prognosis of patients with idiopathic inflammatory myopathy (IIM) associated interstitial lung disease (ILD).Methods:A total of 149 patients who were no less than 18 years old and diagnosed with IIM-ILD from July 2017 to September 2019 in the First Affiliated Hospital of Zhengzhou University were consecutively enrolled in the study. Ten patients were lost to follow-up. The remaining 139 cases were regarded as research objects. Patients were divided into survival group or death group according to their one-year survival status. Then their baseline characteristics were compared. Univariate Cox regression analyses of age, gender, cancer, inflammatory indexes, muscle zymogram, tumor markers, ferritin, melanoma differentiation-associated gene 5 (MDA5) antibody and treatment regimens were conducted to identify prognostic risk factors of one-year mortality. Corrected multivariable cox regression was applied to screen the independent risk factors associated with one-year mortality of IIM-ILD. According to the cut-off value of carcinoembryonic antigen (CEA) and neuron specific enolase (NSE) (6 μg/L and 28 μg/L, respectively), patients were divided into high-level groups and low-level groups. Kaplan Meier survival curve were generated to compare one-year survival rate of high-level groups and low-level groups. On the basis of qualitative results of MDA5 antibody, patients were split into two groups with positive MDA5 antibody or negative MDA5 antibody. The differences of CEA, NSE levels between the two groups and the correlation between CEA, NSE levels and ferritin were analyzed.Results:Age, lactate dehydrogenase (LDH), CEA, carbohydrate antigen (CA) 199, NSE and ferritin in the death group were higher than those in the survival group, while the rate of immunosuppressant administration was lower than that in survival group ( P<0.05). Univariate regression analyses showed that CEA, cytokeratin 19 fragment (CYFRA211) and NSE were risk factors for one-year mortality of IIM-ILD. Adjusted by age, treatment regimens and tumor, multivariate regression analysis showed that CEA [ HR=1.112, 95% CI (1.017-1.214), P=0.019] and NSE [ HR=1.033, 95% CI (1.002-1.064), P=0.034] were independent risk factors for one-year mortality. One-year survival rate of the group with CEA≥6 μg/L was lower than that in the group with CEA<6 μg/L (Logrank test, P<0.001). Similarly, one-year survival rate of the group with NSE≥28 μg/L was lower than that in the group with NSE<28 μg/L (Logrank test, P<0.001). In addition, the CEA level in patients with positive MDA5 antibody was higher than that in patients with negative MDA5 antibody ( P<0.001). However, there was no correlation between NSE and MDA5 antibody. Moreover, serum levels of CEA ( r=0.299, P=0.002) and NSE ( r=0.349, P<0.001) were positively correlated with ferritin. Conclusions:Tumor markers have predictive value for the prognosis of IIM-ILD. Higher CEA and NSE are independent risk factors for poor prognosis in patients with IIM-ILD.