ObjectiveTo analyze the impact of maternal postpartum depression (PPD) at 2 months postpartum on caregiving for infants aged2 to 24 months, and to provide a scientific basis for future maternal and infant healthcare services. MethodsBased on the Shanghai Maternal-Child Pairs Cohort, 1 060 mother-child pairs were selected from those fully participating in follow-up visits at 2, 6, 12, and 24 months postpartum. Pregnancy and childbirth-related information was collected using standardized questionnaire surveys and hospital obstetric and maternity records. The Edinburgh postpartum depression scale was used to assess the maternal postpartum depressive symptoms at 2 months postpartum. At 2, 6, 12, and 24 months postpartum, questionnaire survey was used to evaluate the maternal responsiveness in caregiving and the provision of early learning opportunities for infants. Scores for responsive caregiving and early learning opportunities at 2, 6, 12, and 24 months were grouped based on the 25th percentile (P₂₅) of total scores. The mixed-effects model was used to analyze the longitudinal impact of maternal postpartum depression at 2 months on the caregiving of 2 to 24-month-old infants. ResultsThe longitudinal results from the mixed-effects model did not show an impact of maternal PPD on infant responsive caregiving within 12 months and early learning opportunities within24 months. However, cross-sectional analysis revealed that, compared to the non-PPD group, the risk of low responsive caregiving at 2 months in the PPD group was 93% higher (OR=1.931, 95%CI: 1.113‒3.364, P=0.019). The risks for low provision of early learning opportunities at2 months and 24 months increased by 59% (OR=1.589, 95%CI: 1.082‒2.324, P=0.017) and 60% (OR=1.598, 95%CI:1.120‒2.279, P=0.010), respectively. ConclusionMaternal postpartum depression increases the risk of low responsive caregiving at 2 months, but its long-term effects warrant further research.

Objective:To explore the effects of hospital-community-family continuous nursing mode in patients with chronic heart failure (CHF) .Methods:Totally 140 CHF patients admitted to Hefei First People's Hospital from November 2020 to October 2021 were selected by convenience sampling and divided into the control group and the observation group according to the random number table, with 70 cases in each group. Patients in the control group was given routine cardiovascular care, while patients in the observation group received hospital-community-family continuous care on this basis. The scores of Minnesota Living with Heart Failure Questionnaire (MLHFQ), Self-Care of Heart Failure Index (SCHFI) and Health Promoting Lifestyle Profile-Ⅱ (HPLP-Ⅱ) were compared between the two groups of patients at admission and 3 months after discharge.Result:At admission, there was no significant difference in the scores of MLHFQ, SCHFI and HPLP-Ⅱ between the two groups ( P>0.05) ; 3 months after discharge, the score of MLHFQ in the observation group was lower than that in the control group, and the scores of SCHFI and HPLP-Ⅱ were higher than those in the control group, with statistically significant differences ( P<0.01) . Conclusions:The hospital-community-family continuous nursing model can improve the self-care ability, health behavior and quality of life of CHF patients, which is worth promoting in clinical practice.

Objective:To investigate the standardization construction of nursing information terminologies in Guizhou Province and provide reference for constructing a standard nursing terminology system in Guizhou Province.Methods:Using the convenient sampling method, a total of 153 nursing managers from hospitals at all levels in Guizhou Province were selected as the research objects in June, 2021. The research objects were surveyed using a self-developed survey questionnaire on the current status of standardized terminology construction for hospital nursing information. The questionnaire consisted of two parts. The first part was the basic information of the hospital and the general information of the person in charge of nursing information. The second part was the construction of standardized terminology for nursing information, including three dimensions, such as the basic dataset of nursing electronic medical records, the shared document of nursing electronic medical records and the construction of nursing information terminologies interconnection. Multiple linear regression analysis was used to analyze the influencing factors of standardized construction of nursing information terminologies. A total of 153 questionnaires were distributed in this study and 148 valid questionnaires were collected, with an effective response rate of 96.73% (148/153) .Results:The total score of the survey questionnaire on the standardization of nursing information terminologies construction in 148 hospitals in Guizhou Province was (102.22±24.42) . The basic dataset dimension score of nursing electronic medical records was (60.35±13.32) , the shared document dimension score of nursing electronic medical records was (27.78±19.08) and the dimension score of nursing terminology interconnection construction was (14.08±2.71) . The results of multiple linear regression analysis showed that hospital level and whether nursing managers had received terminology training were the influencing factors for the score of hospital nursing information standardization terminology construction ( P<0.05) . Conclusions:The standardization construction of nursing information terminologies in medical institutions in Guizhou Province is still at the primary level of information construction. The insufficient attention paid by secondary hospital managers to the standardization construction of nursing information terminologies and the lack of understanding of standardized nursing terminology by nursing information managers are important influencing factors.

Objective:To investigate the distribution of HIV-1 genotypes and drug resistance in newly diagnosed HIV-1 patients in Baoding in 2020.Methods:A self-developed method was used to amplify the pol gene sequence of HIV-1, and the sequencing results were analyzed by phylogenetic analysis and compared with the Stanford drug resistance database to determine the HIV-1 subtypes and gene mutations. Results:A total of 96 patients with HIV-1 infection were recruited in this study, and 83 pol gene sequences were successfully obtained. In the study population, 88 (91.7%) were male with an average age of 39 years and 54 (56.3%) were married. Most of the patients were infected through sexual contact (95.8%, 92/96), and 75.0% (72/96) were through homosexual transmission. Phylogenetic analysis showed that various HIV-1 subtypes were detected and among them, CRF01_AE (51.8%, 43/83), CRF07_BC (24.1%, 20/83) and B subtype (10.8%, 9/83) were the most epidemic strains. Moreover, the subtypes of newly identified recombinant strains in recent years accounted for 13.3% (11/83). Drug resistance test results showed that the pre-treatment drug resistance rate in newly diagnosed HIV-1 patients was 8.4% (7/83), and the drug resistance rates to protease inhibitor (PIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs) and integrase inhibitors (INIs) were 3.6% (3/83), 1.2% (1/83) and 3.6% (3/83), respectively. Conclusions:The HIV-1 subtypes in the newly diagnosed population in Baoding in 2020 were complex and diverse. There were many unique recombinant strains and drug-resistant strains. Therefore, it was necessary to strengthen drug resistance monitoring as well as the prevention and control of HIV-1 infection in this area.

Objective:To evaluate the efficacy and safety of adalimumab (ADA) in the treatment of Crohn′s disease (CD), and to analyze the predictive factors of ADA efficacy.Methods:From January 2020 to December 2020, 49 CD patients treated with ADA at the Department of Gastroenterology, Tenth People′s Hospital of Tongji University of Shanghai were enrolled. The clinical data before treatment were collected. During 12 weeks of ADA treatment, the patients were followed up every 2 weeks, the laboratory examinations were conducted every 4 weeks, and colonoscopy examination was rechecked at the 12th week. The improvement of the main symptoms of patients was assessed at 2nd, 4th, and 6th week during ADA treatment. At the 12th week after ADA treatment, the clinical response (Crohn′s disease activity index (CDAI) score decreased ≥70 points from baseline), clinical remission (CDAI score < 150 points), endoscopic response (simple endoscopic score for Crohn′s disease (SES-CD) decreased >50% from baseline) and endoscopic remission (SES-CD ≤2 points or Rutgeerts score ≤1 point), closure of anal fistula of CD patients complicated with anal fistula and occurrence of adverse reactions during treatment were recorded. The predictive factors of clinical remission of CD patients after ADA treatment for 12 weeks were analyzed. The Mann-Whitney U test and binary logistic regression analysis were used for statistical analysis. Results:The main symptom improved rates of 49 CD patients received ADA treatment at 2nd, 4th and 6th week were 75.5% (37/49), 95.9% (47/49) and 98.0% (48/49), respectively, and the main symptom improved time was 14.0 d (7.0 d, 17.0 d). After ADA treatment for 12 weeks, the clinical remission rate was 55.1% (27/49), the clinical response rate was 73.5% (36/49), the endoscopic remission rate was 43.3% (13/30), the endoscopic response rate was 55.6% (15/27), the anal fistula closure rate was 7/18, and the overall incidence of adverse reactions was 24.5% (12/49). The baseline of fecal calprotectin (FC) level of patients in the clinical remission group (27 cases) was lower than that of the patients in the active disease group (22 cases) (111.0 μg/g, 26.3 μg/g to 125.6 μg/g vs. 540.5 μg/g, 420.2 μg/g to 866.9 μg/g), and the difference was statistically significant ( Z=-4.44, P<0.001). The results of binary logistic regression analysis showed that baseline FC level was an independent predictive factor of clinical remission in CD patients treated with ADA for 12 weeks ( OR=1.08, 95%confidence interval 1.02 to 1.14, P=0.013). When the baseline FC cut-off value was 172.39 g/g, the sensitivity and specificity of it in predicting clinical remission in CD patients treated with ADA for 12 weeks were 81.48% and 90.91%, and the area under the receiver operator characteristic curve was 0.87 ( P<0.001). Conclusions:ADA is safe and effective in the treatment of CD. The baseline FC level is an independent predictive factor of clinical remission in CD patients treated with ADA for 12 weeks.

Objective:To evaluate the effect of preventive application of PEG-rhG-CSF on the prevention of neutropenia during concurrent chemoradiotherapy in patients with lung cancer.Methods:A total of 149 patients with lung cancer who received concurrent chemoradiotherapy at Peking University Cancer Hospital from April 2020 to April 2021 were retrospectively analyzed. There were 79 cases in the prevention group, including 48 cases of primary prevention group (preventive application of PEG-rhG-CSF in all concurrent chemoradiotherapy cycles) and 31 cases of secondary prevention group (preventive application of PEG-rhG-CSF in the concurrent chemoradiotherapy cycles after neutropenia occurred). There were 70 cases in non-prevention group. The incidence of grade 3-4 neutropenia, the completion rate of concurrent chemoradiotherapy, the rate of chemoradiotherapy dose reduction and treatment delay, and the rate of hematological toxicities related hospitalization were compared between the prevention group and the non-prevention group.Results:The incidence of grade 3-4 neutropenia in the whole group was 32.2% (48/149), including 6.3% (3/48) in the primary prevention group, 9.7% (3/31) in the secondary prevention group, and 35.7% (25/70) in the non-prevention group. The difference was statistically significant ( χ2=17.81, P<0.001) in the incidence of grade 3-4 neutropenia. The incidence of febrile neutropenia was 3.4% (5/149) in the whole group, but none of them occurred in the primary prevention group. The full completion rate of concurrent chemotherapy was 96.2% (76/79) in the prevention group, which was significantly higher than 82.9% (58/70) in the non-prevention group ( χ2=7.30, P=0.007). The incidence of treatment delayed and dose reduction of chemoradiotherapy was 19.0% (15/79) in the prevention group and 40.0% (28/70) in the non-prevention group, and the difference was statistically significant ( χ2=7.98, P=0.005). Conclusions:The preventive application of PEG-rhG-CSF can effectively reduce the incidence of neutropenia and better ensure the concurrent chemoradiotherapy in lung cancer patients on schedule.

【Objective】 To compare the ability of body mass index （BMI）， body fat percentage （BFP）， waist circumference （WC）， waist-to-height ratio （WHtR）， visceral fat index （VFI） and the combinations of two kinds of obesity indices to predict the risk of hypertension. 【Methods】 Data collected in the baseline survey of “Gansu Province’s Urban and Rural Natural Population Cohort Establishment and Tumor Follow-up Study” were analyzed. Area under the curve （AUC） of ROC curve with covariates was used to analyze and compare the effects of individual obesity evaluation index and the combination of two kinds of obesity indices in predicting the risk of hypertension. 【Results】 Analyses of data of 20，079 adults showed that the AUC of BMI， WC， WHtR， BFP and VFI was 0.636， 0.604， 0.615， 0.614 and 0.619， respectively. AUC of the combination of BMI and WC （0.643） was higher than that of BMI （0.636）； however， the change rate of AUC was only 1.09%. AUC of the combinations of WC， WHtR and VFI， the three central obesity evaluation indices， and BFP， a general obesity evaluation index， were lower than that of BMI. The optimal cutoff value for BMI was 24.2 kg/m². 【Conclusion】 The effect of BMI in predicting the risk of hypertension is better than that of BFP， WC， WHtR and VFI. The effects of the combinations of the two kinds of obesity evaluation indices are not better than that of BMI. To prevent and control hypertension， adults should keep their BMI under overweight.

Objective:The standard treatment for inoperable locally advanced esophageal cancer is concurrent chemoradiotherapy, but the survival was not satisfied. Nituzumab is a humanized IgG monoclonal antibody against EGFR. The purpose of this study is to investigate the toxicity and efficacy of concurrent chemoradiotherapy combined with nituzumab for locally advanced esophageal cancer.Methods:We retrospectively reviewed the clinical data of locally advanced esophageal cancer who were treated with concurrent chemoradiotherapy combined with nituzumab in Peking University Cancer Hospital from June 2015 to June 2020. Kaplan- Meier method was used for analysis. Results:Thirty Patients were enrolled this study.After a median follow-up of 22.5 months, The objective response rate was 93%. The 1-year, 2-year, 3-year overall survival rates were 83%, 57% and 41%, with the progression-free survival rates 75%, 47% and 32%, with the local-recurrence free survival rates 83%, 53% and 37%, with the metastasis-free survival rates 75%, 51% and 36%, respectively.The incidence of grade≥3 hematological toxicity was 32%. There were 16% patients experiencing grade≥3 esophagitis.Conclusion:The preliminary result of concurrent chemoradiotherapy combined with nituzumab is effective and safe for patients with locally advanced esophageal cancer.

Objective:To analyze the clinical phenotypes and prenatal diagnosis of a pedigree with oculo-facio-cardio-dental (OFCD) syndrome.Methods:A pregnant woman at 17 gestational weeks was admitted to the Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School in 2017 for genetic counseling. Genetic tests as performed for the proband (the pregnant woman), her husband, and the induced fetus of last pregnancy genetic test and the detected variants were analyzed and verified by chromosomal microarray analysis (CMA), multiplex ligation-dependent probe amplification (MLPA) and quantitative real time-polymerase chain reaction (Q-PCR). The detection platform established by MLPA and Q-PCR technology was used to perform prenatal diagnosis of the present pregnancy. Other family members were screened for BCOR gene mutation. Related mutation types were retrieved from ClinVar database with term of " BCOR", and related literature from CNKI and PubMed with terms of "OFCD syndrome", " BCOR gene", and "oculo facio cardiac dental syndrome" to summarize the clinical manifestations, mutation type and pathogenesis of this disease. Results:The proband has congenital cataracts, long face, congenital atrial septal defect, and severe dental malformations, which were consistent with the clinical features of OFCD syndrome. WES suggested that the proband and her induced fetus were suspected of having a large submicroscopic deletion of the exons of BCOR gene, which was confirmed by CMA, MLPA and Q-PCR, with a 105 kb deletion containing BCOR exons 1-15. The amniotic fluid genetic analysis of the present pregnancy showed that the fetus has a normal female karyotype, and did not carry the same BCOR gene copy number abnormality as the proband. The child grew and normally developed without any characteristic manifestations of OFCD syndrome during follow-up. Other families of the proband did not show clinical features of OFCD syndrone, and no BCOR gene copy number abnormality was detected. A total of 35 cases of BCOR gene mutation types related to OFCD syndrome were retrieved from ClinVar database. The data analysis revealed that the differences in clinical manifestations between Lenz microphthalmos syndrome and OFCD syndrome were mainly caused by different mutation types of BCOR gene. Among the 90 retrieved cases of OFCD syndrome obtained through literature, only one case was reported in China. Analysis of these 90 cases showed that the characteristic manifestations of OFCD syndrome, involving the eye, face, heart, teeth, and skeletal system. OFCD syndrome were confirmed in the proband and her induced fetus according to the clinical manifestation and the mutation type of BCOR gene. Conclusions:The clinical manifestations of OFCD syndrome are complicated, caused by various mutation types of BCOR. Systematic molecular genetic technology can be effectively applied for gene and prenatal diagnosis of OFCD syndrome.

Objective:To evaluate the effect of deep learning based on DWI and fluid attenuated inversion recovery (FLAIR) to construct a prediction model of the onset time in acute stroke.Methods:A total of 324 cases of acute stroke with clear onset time, from January 2017 to May 2020 in Nanjing First Hospital, were retrospectively enrolled and analyzed. The patients were divided into a training set of 226 patients and a test set of 98 patients according to the complete randomization method using a 7∶3 ratio, and the patients were divided into ≤ 4.5 h and >4.5 h according to symptom onset time in each group. The acute infarction areas on DWI and the corresponding high signal area on FLAIR were manually outlined by physician. Using the InceptionV3 model as the basic model for image features extraction, the deep learning prediction model based on single sequence (DWI, FLAIR) and multi sequences (DWI+FLAIR) were established and verified. Then the area under curve (AUC), accuracy of human readings, single sequence model and multi sequence model in predicting the acute stroke onset time from imaging were compared.Results:DWI-FLAIR mismatch was found in 94 cases (94/207) of patients with symptom onset time from imaging ≤ 4.5 h, while in 28 cases (28/117) of patients with symptom onset time from imaging >4.5 h. ROC analysis showed that the AUC of DWI-FLAIR mismatch in predicting acute stroke onset time from imaging was 0.607, and the accuracy was 60.2%. The prediction model of deep learning based on single sequence showed that the AUC of FLAIR was 0.761 and the accuracy was 71.4%; the AUC of DWI was 0.836 and the accuracy was 81.6%. The AUC of predicting stroke onset time based on the multi-sequence (DWI+FLAIR) deep learning model was 0.852, which was significantly better than that of manual identification ( Z = 0.617, P = 0.002), FLAIR sequence deep learning model ( Z = 2.133, P = 0.006) and DWI sequence deep learning model ( Z = 1.846, P = 0.012). Conclusion:The deep learning model based on DWI and FLAIR is superior to human readings in predicting acute stroke onset time from imaging, which could provide guidance for intravenous thrombolytic therapy for acute stroke patients with unknown onset time.