To explore the role of the "Clinical Practice Guidelines" column and others in the Medical Joumnal of Peking Union Medical College Hospital (Med J PUMCH) in promoting diseiplinary development.

Objective:To explore the diagnostic value of quantitative analysis of contrast-enhanced ultrasound for deep venous thrombosis of lower extremity after total hip arthroplasty.Methods:A total of 150 patients suspected of deep venous thrombosis of lower extremity undergoing total hip arthroplasty treatment in Jiaozhou Central Hospital of Qingdao from June 2021 to June 2022 were selected. Color Doppler ultrasound diagnostic instrument was used to examine the deep vein vessels of the lower limbs of patients, and quantitative analysis of contrast-enhanced ultrasound was performed to record the color Doppler detection results of patients. Quantitative parameters of contrast-enhanced ultrasound including time to peak (TIP), derived peak intensity (DPI), slope of ascending branch of curve (C) were compared between patients with deep vein thrombosis of lower extremities and normal patients. According to the onset time of symptoms of lower extremity thrombus group, patients were divided into acute stage, subacute stage and chronic stage, and the thrombus elasticity score and thrombus strain ratio among the three subgroups were compared.Results:Angiography results showed that 82 patients were diagnosed with deep vein thrombosis of lower extremities. The Kappa = 0.904, sensitivity was 95.00%, specificity was 91.43%, accuracy was 93.33%, positive prediction rate was 92.68%, and negative prediction rate was 94.12% by using contrast-enhanced ultrasonography and angiography in the diagnosis of deep vein thrombosis of lower extremity. The Kappa = 0.616, the sensitivity was 77.55%, specificity was 88.46%, accuracy was 81.33%, positive prediction rate was 92.68%, negative prediction rate was 67.65% by using ultrasonography and angiography in the diagnosis of deep venous thrombosis of lower extremities. The TIP level in patients with deep venous thrombosis of lower limbs was higher than that in normal patients, the DPI and C levels were lower than that in normal patients: (40.21 ± 12.34) s vs. (13.50 ± 4.59) s, (- 32.27 ± 7.56) dB vs. (- 11.33 ± 3.07) dB, (1.88 ± 0.40) dB/s vs. (4.75 ± 1.34) dB/s, there were statistical differences ( P<0.05). There were 28 cases of acute stage thrombosis, 22 cases of subacute stage thrombosis, and 32 cases of chronic stage thrombosis. There were statistically significant differences in thrombus elasticity score and thrombus strain ratio among patients with lower extremity thrombosis at different periods. Thrombus elasticity score and thrombus strain ratio of patients with acute stage thrombus were the lowest. Conclusions:Quantitative analysis of contrast-enhanced ultrasound has good consistency in the diagnosis of lower extremity deep vein thrombosis after total hip arthroplasty, and has certain clinical significance for staging diagnosis of lower extremity deep vein thrombosis.

Objective::This study aimed to determine the likelihood of gestational diabetes mellitus (GDM) in subsequent pregnancy among women without GDM history and to identify risk factors for GDM in subsequent pregnancy.Methods::This retrospective cohort study involved participants who delivered twice in same hospital of 18 research centers when delivered the second baby from January 2018 to December 2018. Finally 6204 women were enrolled and 5180 women without GDM history were analyzed further. Women were categorized as non-GDM or GDM based on the blood glucose values of the subsequent pregnancy, and the characteristics and GDM risk of these groups were compared. A univariate analysis of potential risk factors was performed using the Chi-squared test and/or t-test for qualitative or quantitative variables, respectively. Associations with P values <0.1 were chosen to be included in the multivariate binary logistic regression model. Results::In primary analysis of 6204 women, the incidence of GDM in subsequent pregnancy is 48.9% (490/1002) in women with GDM history and 16.1% (835/5202) in women without GDM history. In a further analysis for 5180 women without GDM at index pregnancy, compared with the non-GDM group, the GDM group had a significantly higher age, prepregnancy body mass index, and blood glucose value at each oral glucose tolerance test (OGTT) timepoint (fasting, 1 h and 2 h) during the index and subsequent pregnancies, as well as higher weight retention during the interval between the two pregnancies ( P<0.001). Age above 35 years in subsequent pregnancy (odds ratio ( OR)=1.540, 95% confidence interval ( CI) = 1.257-1.886, P<0.001), macrosomia in index pregnancy ( OR=1.749, 95% CI=1.277-2.395, P=0.001), OGTT blood glucose values in index pregnancy (fasting, OR=2.487, 95% CI=1.883-3.285, P<0.001; 1 h, OR=1.142, 95% CI=1.051-1.241, P=0.002; 2 h, OR=1.290, 95% CI=1.162-1.432, P<0.001) and weight retention ( OR=1.052, 95% CI=1.035-1.068, P<0.001) were independent risk factors for GDM in subsequent pregnancy. Conclusion::For women without GDM history, GDM risk factors including age, macrosomia history, OGTT value, and weight retention, these can be evaluated before a subsequent pregnancy. Early warning and interventions are needed for women at high risk.

Objective::This study aimed to determine the likelihood of gestational diabetes mellitus (GDM) in subsequent pregnancy among women without GDM history and to identify risk factors for GDM in subsequent pregnancy.Methods::This retrospective cohort study involved participants who delivered twice in same hospital of 18 research centers when delivered the second baby from January 2018 to December 2018. Finally 6204 women were enrolled and 5180 women without GDM history were analyzed further. Women were categorized as non-GDM or GDM based on the blood glucose values of the subsequent pregnancy, and the characteristics and GDM risk of these groups were compared. A univariate analysis of potential risk factors was performed using the Chi-squared test and/or t-test for qualitative or quantitative variables, respectively. Associations with P values <0.1 were chosen to be included in the multivariate binary logistic regression model. Results::In primary analysis of 6204 women, the incidence of GDM in subsequent pregnancy is 48.9% (490/1002) in women with GDM history and 16.1% (835/5202) in women without GDM history. In a further analysis for 5180 women without GDM at index pregnancy, compared with the non-GDM group, the GDM group had a significantly higher age, prepregnancy body mass index, and blood glucose value at each oral glucose tolerance test (OGTT) timepoint (fasting, 1 h and 2 h) during the index and subsequent pregnancies, as well as higher weight retention during the interval between the two pregnancies ( P<0.001). Age above 35 years in subsequent pregnancy (odds ratio ( OR)=1.540, 95% confidence interval ( CI) = 1.257-1.886, P<0.001), macrosomia in index pregnancy ( OR=1.749, 95% CI=1.277-2.395, P=0.001), OGTT blood glucose values in index pregnancy (fasting, OR=2.487, 95% CI=1.883-3.285, P<0.001; 1 h, OR=1.142, 95% CI=1.051-1.241, P=0.002; 2 h, OR=1.290, 95% CI=1.162-1.432, P<0.001) and weight retention ( OR=1.052, 95% CI=1.035-1.068, P<0.001) were independent risk factors for GDM in subsequent pregnancy. Conclusion::For women without GDM history, GDM risk factors including age, macrosomia history, OGTT value, and weight retention, these can be evaluated before a subsequent pregnancy. Early warning and interventions are needed for women at high risk.

Background: Immunoglobulin G4 (IgG4)-related disease is an entity that can involve the thyroid gland. The spectrum of IgG4-related thyroid disease (IgG4-RTD) includes Hashimoto thyroiditis (HT) and its fibrotic variant, Riedel thyroiditis, as well as Graves’ disease. The early diagnosis of IgG4-RTD is important because it is a medically treatable disease, and a delay in the diagnosis might result in unnecessary surgery. We present a case series of IgG4-RTD with a review of the literature. Methods: We retrospectively reviewed the clinical presentation and the radiological and pathological findings of patients diagnosed with IgG4-RTD between 2017 and 2021 at a tertiary medical center in Korea. We also conducted a literature review of IgG4-RTD. Results: Five patients were diagnosed with IgG4-RTD during the study period. The patients’ age ranged from 31 to 76 years, and three patients were men. Most patients visited the clinic for a neck mass, and hypoechogenic nodular lesions were observed on neck ultrasonography. Three patients had IgG4 HT, and two patients had IgG4 Riedel thyroiditis. All patients developed hypothyroidism that necessitated L-thyroxine replacement. The diagnosis of IgG4-RTD was confirmed after a pathological examination of the surgical specimen in the first two cases. However, the early diagnosis was possible after a core needle biopsy in three clinically suspected patients. Conclusion The diagnosis of IgG4-RTD requires clinical suspicion combined with serology and histological analyses using IgG4 immunostaining. The early diagnosis of IgG4-RTD is difficult; thus, biopsy with IgG4 immunostaining and serum IgG4 measurements will help diagnose patients suspected of having IgG4-RTD.

Objective:To explore the occurrence and influencing factors of serum uric acid elevation in patients with coronavirus disease 2019 (COVID-19) treated with favipiravir.Methods:Medical records of patients with COVID-19 who were hospitalized in Beijing Ditan Hospital between June 1, 2020 and June 30, 2021 and treated with the 5- or 10-day regimen of favipiravir were collected and retrospectively analyzed. After favipiravir withdrawal, if the elevation in serum uric acid was ≥30% of baseline level, it was defined as serum uric acid elevation. Then patients were divided into serum uric acid elevation group and non-serum uric acid elevation group. The clinical characteristics such as gender, age, body mass index, comorbidities, smoking and drinking behavior, COVID-19 grade, favipiravir regimen, and serum uric acid level and renal function before treatment in patients between the 2 groups were compared. Influencing factors of favipiravir-associated serum uric acid elevation was analyzed using multivariate logistic regression method.Results:A total of 179 patients were included in the analysis, including 104 (58.1%) males and 75 (41.9%) females, aged from 19 to 70 years with a median age of 43 years. The level of serum uric acid in 179 patients after favipiravir treatment was significantly higher than before [(451±119) μmol/L vs. (332±94) μmol/L, P<0.001]. The change rate of serum uric acid from baseline level ranged from -57.1% to 157.8% with the median of 38.6%. The elevation in serum uric acid of ≥ 30% of baseline level occurred in 108 (60.3%) patients. The incidences of serum uric acid elevation in patients treated with 5-day and 10-day regimens of favipiravir were 46.8% (36/77) and 70.6% (72/102), respectively, and the difference between them was significant ( P=0.001). Multivariate logistic regression analysis showed that body mass index 24.0 to <28.0 kg/m 2 ( OR=3.109, 95 %CI: 1.209-7.994, P=0.019) and 10-day regimen of favipiravir ( OR=3.017, 95 %CI: 1.526-5.964, P=0.001) were independent risk factors for favipiravir-associated serum uric acid elevation. Conclusions:More than half of COVID-19 patients treated with favipiravir can develop serum uric acid elevation. Overweight and 10-day regimen of favipiravir are independent risk factors for serum uric acid elevation in patients.

Objective:To explore the occurrence and influencing factors of serum uric acid elevation in patients with coronavirus disease 2019 (COVID-19) treated with favipiravir.Methods:Medical records of patients with COVID-19 who were hospitalized in Beijing Ditan Hospital between June 1, 2020 and June 30, 2021 and treated with the 5- or 10-day regimen of favipiravir were collected and retrospectively analyzed. After favipiravir withdrawal, if the elevation in serum uric acid was ≥30% of baseline level, it was defined as serum uric acid elevation. Then patients were divided into serum uric acid elevation group and non-serum uric acid elevation group. The clinical characteristics such as gender, age, body mass index, comorbidities, smoking and drinking behavior, COVID-19 grade, favipiravir regimen, and serum uric acid level and renal function before treatment in patients between the 2 groups were compared. Influencing factors of favipiravir-associated serum uric acid elevation was analyzed using multivariate logistic regression method.Results:A total of 179 patients were included in the analysis, including 104 (58.1%) males and 75 (41.9%) females, aged from 19 to 70 years with a median age of 43 years. The level of serum uric acid in 179 patients after favipiravir treatment was significantly higher than before [(451±119) μmol/L vs. (332±94) μmol/L, P<0.001]. The change rate of serum uric acid from baseline level ranged from -57.1% to 157.8% with the median of 38.6%. The elevation in serum uric acid of ≥ 30% of baseline level occurred in 108 (60.3%) patients. The incidences of serum uric acid elevation in patients treated with 5-day and 10-day regimens of favipiravir were 46.8% (36/77) and 70.6% (72/102), respectively, and the difference between them was significant ( P=0.001). Multivariate logistic regression analysis showed that body mass index 24.0 to <28.0 kg/m 2 ( OR=3.109, 95 %CI: 1.209-7.994, P=0.019) and 10-day regimen of favipiravir ( OR=3.017, 95 %CI: 1.526-5.964, P=0.001) were independent risk factors for favipiravir-associated serum uric acid elevation. Conclusions:More than half of COVID-19 patients treated with favipiravir can develop serum uric acid elevation. Overweight and 10-day regimen of favipiravir are independent risk factors for serum uric acid elevation in patients.

Objective:To investigate the influencing factors of hospitalization for pregnant women with influenza A.Methods:From December 2018 to February 2019, 261 pregnant women with influenza A were admitted to Beijing Ditan Hospital, Capital Medical University. The clinical data of age, gestational period, underlying diseases, time from onset to treatment, white blood cell count and lymphocyte count of these patients were collected. Data of out-patients were compared with those of inpatients. Chi-square test and multivariate logistic regression were used to analyze the influencing factors of hospitalization in pregnant women with influenza A.Results:Among the 261 cases of pregnancy with influenza A, 36 cases (13.79%) were hospitalized, of which 10 (27.78%) were hospitalized due to severe influenza complications, the other 26 cases (72.22%) were hospitalized due to pregnancy related adverse events. The proportions of hospitalized patients with age ≥30 years old, gestational period ≥28 weeks, combined with underlying diseases and lymphocyte count <1×10 9/L were 75.00%(27/36), 83.33%(30/36), 16.67%(6/36) and 50.00%(18/36), respectively, which were significantly higher than those of out-patients (47.11%(106/225), 35.56%(80/225), 0.89%(2/225) and 13.22%(16/121), respectively; χ2=9.66, 29.05, 26.00 and 22.12, respectively, all P<0.05). The proportions of inpatients and out-patients with white blood cell count ≥4×10 9/L were 97.22%(35/36) and 97.52%(118/121), respectively, and there was no significant difference ( χ2=0.01, P=0.921). Multivariate logistic regression analysis showed that age ≥30 years (odds ratio ( OR)=5.181, 95% confidence interval ( CI) 1.628-16.489, P=0.005), gestational period ≥28 weeks ( OR=11.054, 95% CI 3.233-37.796, P<0.01), lymphocyte count <1×10 9/L ( OR=6.864, 95% CI 2.237-20.729, P=0.001), and time from onset to treatment <24 h ( OR=0.076, 95% CI 0.012-0.468, P=0.005) were the influencing factors for hospitalization of pregnant women with influenza A. Conclusion:Age ≥30 years old, gestational period ≥28 weeks, lymphocyte count <1×10 9/L and time from onset to treatment <24 h are the influencing factors for hospitalization of pregnant women with influenza A.

Objective:To explore the effects of interpregnancy interval (IPI) on pregnancy outcomes of subsequent pregnancy.Methods:A multicenter retrospective study was conducted in 21 hospitals in China. Information of age, height, pre-pregnancy weight, IPI, history of diseases, complications of pregnancy, gestational age of delivery, delivery mode, and pregnancy outcomes of the participants were collected by consulting medical records of pregnant women who had two consecutive deliveries in the same hospital during 2011 to 2018. The participants were divided into 4 groups according to IPI:<18 months, 18-23 months, 24-59 months and ≥60 months. According to the WHO′s recommendation, with the IPI of 24-59 months group as a reference, to the effects of IPI on pregnancy outcomes of subsequent pregnancy were analyzed. Stratified analysis was further carried out based on age, history of gestational diabetes mellitus (GDM), macrosomia, and premature delivery, to explore the differences in the effects of IPI on pregnancy outcomes among women with different characteristics.Results:A total of 8 026 women were included in this study. There were 423, 623, 5 512 and 1 468 participants in <18 months group, 18-23 months group, 24-59 months group and ≥60 months group, respectively. (1) The age, pre-pregnancy body mass index (BMI), history of cesarean section, GDM, gestational hypertension and cesarean section delivery rate of <18 months group, 18-23 months group, 24-59 months group and ≥60 months group were gradually increased, and the differences were statistically significant ( P<0.05). (2) After adjusting for potential confounding factors, compared with women in the IPI of 24-59 months group, the risk of premature delivery, premature rupture of membranes, and oligohydramnios were increased by 42% ( OR=1.42, 95% CI: 1.07-1.88, P=0.015), 46% ( OR=1.46, 95% CI: 1.13-1.88, P=0.004), and 64% ( OR=1.64, 95% CI: 1.13-2.38, P=0.009) respectively for women in the IPI≥60 months group. No effects of IPI on other pregnancy outcomes were found in this study ( P>0.05). (3) After stratified by age and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months would significantly increase the risk of oligohydramnios for women with advanced age ( OR=2.87, 95% CI: 1.41-5.83, P=0.004); and <18 months could increase the risk of premature rupture of membranes for women under the age of 35 ( OR=1.59, 95% CI: 1.04-2.43, P=0.032). Both the risk of premature rupture of membranes ( OR=1.58, 95% CI: 1.18-2.13, P=0.002) and premature delivery ( OR=1.52, 95% CI: 1.07-2.17, P=0.020) were significantly increased in the IPI≥60 months group. After stratified by history of GDM and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months would lead to an increased risk of postpartum hemorrhage for women with a history of GDM ( OR=5.34, 95% CI: 1.45-19.70, P=0.012) and an increased risk of premature rupture of membranes for women without a history of GDM ( OR=1.44, 95% CI: 1.10-1.90, P=0.009). After stratified by history of macrosomia and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months could increase the proportion of cesarean section for women with a history of macrosomia ( OR=4.11, 95% CI: 1.18-14.27, P=0.026) and the risk of premature rupture of membranes for women without a history of macrosomia ( OR=1.46, 95% CI: 1.12-1.89, P=0.005). After stratified by history of premature delivery and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months would significantly increase the risk of premature rupture of membranes for women without a history of premature delivery ( OR=1.47, 95% CI: 1.13-1.92, P=0.004). Conclusions:Both IPI≥60 months and <18 months would increase the risk of adverse pregnancy outcomes in the subsequent pregnancy. Healthcare education and consultation should be conducted for women of reproductive age to maintain an appropriate IPI when they plan to pregnant again, to reduce the risk of adverse pregnancy outcomes in the subsequent pregnancy.

Objective:To explore whether the inequality of economic development in different provinces in China leads to differences in pediatric nurses ′ health education literacy and to analyze related factors affecting pediatric nurses ′ health education literacy. Methods:Self-designed and tested online questionnaire of competencies in health education (scoring scale 10-50) were distributed to pediatric nurses in China in October 2018. We examined the influencing factors of competencies in health education and its relationship with the province-level data on gross domestic product (GDP) per capita.Results:A total of 15 443 pediatric nurses from 31 provinces were eligible for the analysis. At the regional of GDP per capital over than 20 000 US dollars, 15 000 to 20 000 US dollars, 10 000 to 14 900 US dollars and less than 10 000 US dollars, the health education literacy scores were 40.76±4.52, 40.66±4.08, 40.50± 4.02 and 39.69±4.32 respectively. Significant difference was found between the competencies in health education of pediatric nurses and provinces with different GDP per capita ( F value was 9.21, P<0.001). Regression and hierarchical analysis models based on GDP per capita showed that: nurses with senior professional titles, bachelor degrees or above, aged over 40, and those working in emergency rooms have higher competencies in health education ( OR value was 0.296-4.766, P<0.05) . Lower competencies in health education were demonstrated on nurses who have been working less than 5 years ( OR value was 0.319, P<0.05). Conclusions:Economic development is one of the main factors that affect the competencies in health education of pediatric nurses in China. Pediatric nurses who were young, had limited working experience, with low office titles, with low education background, and who working at non-emergency rooms require more training.