Objective To explore the related factors and clinical significance of the effect of irrigation on infant with dacryocystitis. Methods A total of 318 eyes of 262 infant were treated with dacryocystitis, and their overall curative effect was observed. Single factor correlation analysis and multivariate Logistic regression were used to analyze 8 factors related to efficacy, such as age of children, length of medical history, severity of symptoms, degree of operation of nurses, degree of parental cooperation, compliance with medication, massage therapy and treatment methods. The effect of each factor on the curative effect. Results It was found that the total effective rate was 90.56 percent of the lacrimal passage in children with 318 tear channel obstruction and dacryocystitis.Single factor analysis results show that the factors influencing the curative effect of single in treatment (χ2= 88.984, P < 0.01), symptom severity (χ2=14.185,P < 0.05) length of history (χ2=18.783, P < 0.05) difference and massage therapy (χ2=10.081, P < 0.05) was statistically significant, the three factors of multiariable Logistic regression analysis results showed that the treatment (P=0.000, OR=0.148,95％ CI 0.052- 0.419) and massage therapy (P=0.012, OR=3.390, 95％ CI 1.309- 8.777) affected infant lacrimal duct flushing out main factors influencing the efficacy of tong. Conclusions The main influencing factors are the different treatment modalities, severity of symptoms the length of medical history and massage therapy in the related factors that affect the effect of infantwith dacryocystitis.

Objective:To investigate the diagnostic accuracy of serological indicators and evaluate the diagnostic value of a new established combined serological model on identifying the minimal hepatic encephalopathy (MHE) in patients with compensated cirrhosis.Methods:This prospective multicenter study enrolled 263 compensated cirrhotic patients from 23 hospitals in 15 provinces, autonomous regions and municipalities of China between October 2021 and August 2022. Clinical data and laboratory test results were collected, and the model for end-stage liver disease (MELD) score was calculated. Ammonia level was corrected to the upper limit of normal (AMM-ULN) by the baseline blood ammonia measurements/upper limit of the normal reference value. MHE was diagnosed by combined abnormal number connection test-A and abnormal digit symbol test as suggested by Guidelines on the management of hepatic encephalopathy in cirrhosis. The patients were randomly divided (7∶3) into training set ( n=185) and validation set ( n=78) based on caret package of R language. Logistic regression was used to establish a combined model of MHE diagnosis. The diagnostic performance was evaluated by the area under the curve (AUC) of receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve. The internal verification was carried out by the Bootstrap method ( n=200). AUC comparisons were achieved using the Delong test. Results:In the training set, prevalence of MHE was 37.8% (70/185). There were statistically significant differences in AMM-ULN, albumin, platelet, alkaline phosphatase, international normalized ratio, MELD score and education between non-MHE group and MHE group (all P<0.05). Multivariate Logistic regression analysis showed that AMM-ULN [odds ratio ( OR)=1.78, 95% confidence interval ( CI) 1.05-3.14, P=0.038] and MELD score ( OR=1.11, 95% CI 1.04-1.20, P=0.002) were independent risk factors for MHE, and the AUC for predicting MHE were 0.663, 0.625, respectively. Compared with the use of blood AMM-ULN and MELD score alone, the AUC of the combined model of AMM-ULN, MELD score and education exhibited better predictive performance in determining the presence of MHE was 0.755, the specificity and sensitivity was 85.2% and 55.7%, respectively. Hosmer-Lemeshow test and calibration curve showed that the model had good calibration ( P=0.733). The AUC for internal validation of the combined model for diagnosing MHE was 0.752. In the validation set, the AUC of the combined model for diagnosing MHE was 0.794, and Hosmer-Lemeshow test showed good calibration ( P=0.841). Conclusion:Use of the combined model including AMM-ULN, MELD score and education could improve the predictive efficiency of MHE among patients with compensated cirrhosis.