Objective To analyze related factors for pacemaker pocket infection in elderly patients after implantation of permanent pacemakers and to provide a theoretical basis for preventing pacemaker pocket infection.Methods Pacemaker pocket infection and related factors were analyzed for 412 patients who received implantation of permanent pacemakers from Apr.2010 to Jun.2013 in the Department of Cardiology.Results With 5 cases of pacemaker pocket infection,the rate of infection was 1.2％.The infected patients were older than the uninfected patients [(74.5±4.2) years vs.(60.3±6.6) years,t=4.781,P＜0.01].The rate of infection was higher in patients who had undergone operations twice or more than in patients who had undergone one operation [10.0％ (3/300) vs.0.5％ (2/382),x2=10.583,P＜0.01].The rate of infection was higher in patients with the operation lasting 2 hours or longer than in patients with the operation time shorter than 2 hours [(3.8％ (4/106) vs.0.3％ (1/306),x2=7.802,P＜0.01].The rate of infection was higher in patients with pocket hematoma than in patients without pocket hematoma [16.7％ (3/18) vs.0.5％(2/394),x2=37.492,P＜0.01].Independent risk factors for pacemaker pocket infection included pocket hematoma (OR=6.193),number of operations≥2 (OR=2.594),operating time≥2 hours (OR=2.265) and age of 75 years or older (OR =2.193).Conclusions Pocket infection after implantation of permanent pacemakers is related to pocket hematoma,number of operations,operating time and age.

The internal medicine of paediatrics is the important major course in paediatrics. Focusing on strengthening the constructionof staff, we cultivate all levels of teachers from different administrative level and personality, do schorlarly research meticulously,standardizing management and improve the teaching evaluation system. Besides we promote the construction and development of theinternal medicine of paediatrics by carrying out teaching research, impsoving teaching methods and making paediatics the key subjectin China.

Objective To study epidemic of schistosomiasis in the Qiandao Lake reservoir area,and to provide a reference for prevention and control of schistosomiasis in the construction of large water conservancy projects in the epidemic area of schistosomiasis.Methods The data over the years of snail condition and monitoring of schistosomiasis before and after building the dam,and water conservancy project reconstruction related information were collected.Based on the survey results of the river channel,the lake beach and the dissipation zone in the reservoir area,the influence of Xin'an River water conservancy project on epidemic of schistosomiasis in the Qiandao Lake reservoir area was analyzed,and the epidemic factors of the schistosomiasis in the Three Gorges reservoir were compared and analyzed.Results Before the dam was built,an area of 38 144 000 m2 was examined but Oncomelania was undetected.The Qiandao Lake reservoir area belonged to a non epidemic area of schistosomiasis.After the dam was built,557 cases of schistosomiasis were found in 6 232 immigrants during 1962-1965,resulting in an imported epidemic.In 1970-1980,an area of 379 654 m2 in which Oncomelania was found was examined and snails were mainly distributed in some rice fields and ditches in the end of the reservoir.949 cases of local schistosomiasis were found in the snails.The condition and condition of the snail are gradually controlled through several decades of comprehensive prevention and control.Compared with the epidemic factors of schistosomiasis in Qiandao Lake and the Three Gorges reservoir,the environment of elevation beach and ecologically fragile fluctuation zone coexist in the two reservoir areas.Conclusion From the long-term longitudinal monitoring data of the Qiandao Lake reservoir area and the epidemic regularity of schistosomiasis and the comparison with the ecology of the Three Gorges reservoir,it is concluded that the two reservoir areas will not cause a large range of schistosomiasis epidemic in general,but it does not exclude the possibility of the breeding of the inputting Oncomelania.

Objective To assess the prognosis and effect on renal function of pediatric urolithiasis caused by melamine-contaminated milk powder (PUMMP) in a long-term follow-up.Methods One hundred and two of 8335 children (≤ 6-year-old) with history of consuming melamine-contaminated milk powder screened in our hospital were followed up for eighteen months after diagnosis. Urinary system ultrasonography, urinalysis, urinary microprotein profiles [microalbumin (ALBU), immunoglobulin G (IgG), and N-acetyl-β-D-glucosidase (NAG)], urinary melamine and cyanuric acid were examined in the first visit and at the end of follow-up. Results Follow-up was completed in 91 children and the stone was excreted in 82 children (90.1%).Stones less than 5 mm in diameter were most vulnerable to discharge, and stones larger than 10 mm could not be expelled without interventions. At the end of follow-up, no melamine or cyanuric acid was found in the urine samples of 74 patients. Urinalysis showed that incidences of proteinuria, microscopic hematuria and leukocyturia were 0%, 5.1% and 2.0%, which were significant different from those in the first visit (Pproteinutria=0.123, Phemnatuna=0.038 and Pleukocyhuris=0.005).Urinary microprotein profiles revealed that some children whose urinalysis was normal still presented glomerular and renal tubular injury and the abnormal rates were 8.8% and 12.1%respectively. The glomerular injury was mainly related to persistent stone, male and younger.Conclusions 90.1% of children with PUMMP passes urinary stones at the end of follow-up.Stone size is the major risk factor of discharge. No melamine or cyanuric acid is found in the urine of children. After eighteen months, glomerular and renal tubular injury is still found in some patients. Further follow-up is necessary.

Objective:To learn about the iodine nutritional status of pregnant women in Suqian City, Jiangsu Province, and to provide evidence for scientific supplementation of iodine of pregnant women.Methods:From May 2016 to July 2020, five sampling districts were divided in each county (district) of Suqian City according to the oriation of east, west, south, north and center each year. One township (street) was selected from each district, and 20 pregnant women who lived in the local area for more than half a year were selected from each township (street). The 30 g of household salt samples of pregnant women and 5 ml of urine samples at random once were collected to test the salt iodine and urinary iodine content.Results:A total of 2 483 household salt samples of pregnant women were tested, and the median salt iodine was 23.9 mg/kg; among them, 2 454 were iodized salt, and the coverage rate of iodized salt was 98.8%; the qualified iodized salt was 2 383, the qualified rate of iodized salt was 97.1%, and the consumption rate of qualified iodized salt was 96.0%. There were statistically significant differences in coverage rate of iodized salt, qualified rate of iodized salt and consumption rate of qualified iodized salt between different years (χ 2 = 10.55, 13.23, 11.37, P < 0.05). A total of 2 483 urine samples of pregnant women were tested, and the median urinary iodine was 167.6 μg/L, which was at the appropriate iodine level. However, the median urinary iodine of pregnant women in 2020 was 146.7 μg/L, lower than the WHO/UNICEF/ICCIDD recommendation standard (150 μg/L). The differences of median urinary iodine of pregnant women in different years, pregnancy periods and regions were statistically significant ( H = 26.08, 8.17, 19.87, P < 0.05). Conclusions:The coverage rate of iodized salt, qualified rate of iodized salt and consumption rate of qualified iodized salt in Suqian City , meet the national standard for eliminating iodine deficiency disorders. Iodine nutrition of pregnant women in Suqian City is at an appropriate iodine level, but some pregnant women may have iodine deficiency.

With social development and technology progress, there is an increasing use of daily electronic products and radioactive medical devices, which increases the risk of exposure to radiation in medical practices, daily life activities, and work. Notably, the effects of radiation exposure on pregnant women and their offspring have attracted increasing attention. Comprehensive and accurate assessment and intervention of the effects of radiation exposure on pregnant women and their offspring are of great significance to reduce birth defects and achieve eugenics. This article reviews the effects of radiation exposure during pregnancy on offspring health based on animal experiments and clinical studies, and describes the possible mechanisms, so as to provide the basis for further studies.

OBJECTIVE: To analyze the risk factors of in-hospital death in patients with sepsis in the intensive care unit (ICU) based on machine learning, and to construct a predictive model, and to explore the predictive value of the predictive model. METHODS: The clinical data of patients with sepsis who were hospitalized in the ICU of the Affiliated Hospital of Jining Medical University from April 2015 to April 2021 were retrospectively analyzed,including demographic information, vital signs, complications, laboratory examination indicators, diagnosis, treatment, etc. Patients were divided into death group and survival group according to whether in-hospital death occurred. The cases in the dataset (70%) were randomly selected as the training set for building the model, and the remaining 30% of the cases were used as the validation set. Based on seven machine learning models including logistic regression (LR), K-nearest neighbor (KNN), support vector machine (SVM), decision tree (DT), random forest (RF), extreme gradient boosting (XGBoost) and artificial neural network (ANN), a prediction model for in-hospital mortality of sepsis patients was constructed. The receiver operator characteristic curve (ROC curve), calibration curve and decision curve analysis (DCA) were used to evaluate the predictive performance of the seven models from the aspects of identification, calibration and clinical application, respectively. In addition, the predictive model based on machine learning was compared with the sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation II (APACHE II) models. RESULTS: A total of 741 patients with sepsis were included, of which 390 were discharged after improvement, 351 died in hospital, and the in-hospital mortality was 47.4%. There were significant differences in gender, age, APACHE II score, SOFA score, Glasgow coma score (GCS), heart rate, oxygen index (PaO₂/FiO₂), mechanical ventilation ratio, mechanical ventilation time, proportion of norepinephrine (NE) used, maximum NE, lactic acid (Lac), activated partial thromboplastin time (APTT), albumin (ALB), serum creatinine (SCr), blood urea nitrogen (BUN), blood uric acid (BUA), pH value, base excess (BE), and K⁺ between the death group and the survival group. ROC curve analysis showed that the area under the curve (AUC) of RF, XGBoost, LR, ANN, DT, SVM, KNN models, SOFA score, and APACHE II score for predicting in-hospital mortality of sepsis patients were 0.871, 0.846, 0.751, 0.747, 0.677, 0.657, 0.555, 0.749 and 0.760, respectively. Among all the models, the RF model had the highest precision (0.750), accuracy (0.785), recall (0.773), and F1 score (0.761), and best discrimination. The calibration curve showed that the RF model performed best among the seven machine learning models. DCA curve showed that the RF model exhibited greater net benefit as well as threshold probability compared to other models, indicating that the RF model was the best model with good clinical utility. CONCLUSIONS The machine learning model can be used as a reliable tool for predicting in-hospital mortality in sepsis patients. RF models has the best predictive performance, which is helpful for clinicians to identify high-risk patients and implement early intervention to reduce mortality.
Humans ; Hospital Mortality ; Retrospective Studies ; ROC Curve ; Prognosis ; Sepsis/diagnosis* ; Intensive Care Units