Objective To investigate the risk factors for the formation of infectious stones among residents in western Fujian Province and construct a nomogram model for preoperative prediction of the risk of infectious stones. Methods Clinical data of 204 patients who received treatment for urinary tract stones at Longyan People′s Hospital Affiliated to Xiamen Medical University from October 2021 to November 2023 were analyzed. All patients underwent stone composition analysis. Univariate and multivariate Logistic regression analysis were used to screen independent risk factors for infectious stones, construct a nomogram model for predicting the risk of infectious stones, and the discriminative power and accuracy of the model was evaluated. Results Based on the results of stone composition analysis, 204 patients were divided into infectious stone group(56 cases) and non-infectious stone group(148 cases). Univariate and multivariate Logistic regression analysis showed that female (OR=2.602, 95%CI, 0.766 to 8.842, P=0.039), diabetes (OR=9.751, 95%CI, 2.547 to 17.332, P=0.001), long diameter of stones (OR=1.123, 95%CI, 1.046 to 4.207, P=0.031), moderate to severe hydronephrosis (OR=4.173, 95%CI, 1.256 to 13.865, P=0.020), high urine pH value (OR=6.078, 95%CI, 1.922 to 19.216, P=0.002), and positive urine culture (OR=6.060, 95%CI, 1.398 to 16.262, P=0.016) were independent risk factors for infectious stones. A nomogram model for predicting the risk of infectious stones was constructed based on independent risk factors. The area under the curve of this model for predicting infectious stones was 0.860, which was significantly larger than the area under the curve predicted by gender, diabetes, stone long diameter, degree of hydronephrosis, urine pH value, and urine culture results (P < 0.05). The model was validated by 1 000 internal resampling, with an average absolute error of 1.8%, indicating a high consistency between the predicted risk of infectious stones and the actual situation. Conclusion Female, diabetes, long diameter of stones, moderate to severe hydronephrosis, high urine pH value, and positive urine culture are independent risk factors for infectious stones among residents in western Fujian Province. The nomogram model constructed based on these factors can predict the risk of infectious stones preoperatively with high predictive efficiency.

OBJECTIVESince 1986, the reference of birth weight for gestational age has not been updated. The aim of this study was to set up Chinese neonatal network to investigate the current situation of birth weight in China, especially preterm birth weight, to develop the new reference for birth weight for gestational age and birth weight curve.

METHODA nationwide neonatology network was established in China. This survey was carried out in 63 hospitals of 23 provinces, municipalities and autonomous regions. We continuously collected the information of live births in participating hospitals during the study period of 2011-2014. Data describing birth weight and gestational age were collected prospectively. Newborn's birth weight was measured by electronic scale within 2 hours after birth when baby was undressed. The evaluation of gestational age was based on the combination of mother's last menstrual period, ultrasound in first trimester and gestational age estimation by gestational age scoring system.

STATISTICAL ANALYSISthe growth curve was drawn by using LMSP method, which was conducted in GAMLSS 1.9-4 software package in R software 2.11.1.

RESULTA total of 159 334 newborn infants were enrolled in this study. There were 84 447 male and 74 907 female. The mean birth weight was (3 232 ± 555) g, the mean birth weight of male newborn was (3 271 ± 576) g, the mean weight of female newborn was (3 188 ± 528) g. The test of the variables' distribution suggested that the distribution of gestational age and birth weight did not fit the normal distribution, the optimal distribution for them was BCT distribution. The Q-Q plot test and worm plot test suggested that this curve fitted the distribution optimally. The male and female neonatal birth weight curve was developed using the same method.

CONCLUSIONUsing GAMLSS method to establish nationwide neonatal birth weight curve, and the first time to update the birth weight reference in recent 28 years.

Birth Weight ; China ; Female ; Gestational Age ; Humans ; Infant, Low Birth Weight ; Infant, Newborn ; Male