Comparing the severity of second preeclampsia with first preeclampsia: a multicenter retrospective longitudinal cohort study.

OBJECTIVE: Compare the clinical severity of second preeclampsia with the first preeclampsia. METHODS: This retrospective longitudinal cohort study was conducted in three teaching hospitals in Guangzhou, where there were a total of 296 405 deliveries between 2010 and 2021. Two consecutive singleton deliveries complicated with preeclampsia were included. Clinical features, laboratory results within 1 week before delivery, and maternal and neonatal outcomes of both deliveries were collected. Univariate analyses were made using paired Wilcoxon tests and McNemar tests. Multivariable logistic regression and generalized linear models were performed to assess the association of adverse maternal and neonatal outcomes with second preeclampsia. RESULTS: A total of 151 women were included in the study. The mean maternal age was 28 and 33 years for the first and second deliveries, respectively. The proportion of preventive acetylsalicylic acid use was 4.6% for the first delivery and 15.2% for the second delivery. No significant differences were observed in terms of blood pressure on admission, gestational weeks of admission and delivery, application of perinatal antihypertensive agents, rates of preterm delivery, and severe features between the two occurrences. However, the rates of heart disease, edema, and admission to the ICU were lower, and hospital stays were shorter in the second preeclampsia compared with the first preeclampsia. Sensitivity analysis conducted among women who did not use preventive acetylsalicylic acid yielded similar results. After adjusting for potential confounding variables, the occurrence of second preeclampsia was associated with significantly decreased risks of heart disease, edema, complications, and admission to the NICU, with odds ratios ranging between 0.157 and 0.336. CONCLUSION: Contrary to expectations, the second preeclampsia did not exhibit worse manifestations or outcomes to the first occurrence. In fact, some clinical features and outcomes appeared to be better in the second preeclampsia.

Development, validation, and clinical utility of a risk prediction model for recurrent preeclampsia.

OBJECTIVES: We aim to establish a predictive model for recurrent preeclampsia. METHODS: A retrospective review of medical records from three hospitals between 2010 and 2021 was conducted. The study included women who had two consecutive singleton deliveries at the same hospital, with the first delivery complicated by preeclampsia. A multivariable logistic regression model was constructed using a training cohort, and subsequently cross-validated and tested using an independent cohort. The model's performance was assessed in terms of discrimination and calibration, and its clinical utility was evaluated using decision curve analysis (DCA). RESULTS: Among 296 405 deliveries, 694 women met the inclusion criteria, with 151 (21.8%) experiencing recurrent preeclampsia. The predictive model incorporated 10 risk factors from previous preeclampsia, including gestational weeks with elevated blood pressure, gestational diabetes mellitus (GDM), pericardial effusion, heart failure, limb edema, serum creatinine, white blood cell count, low platelet counts within one week before delivery, SBP on the first postpartum day, and postpartum antihypertensive use. Additionally, one risk factor from the index pregnancy was included, which was antihypertensive use before 20 weeks. The model demonstrated better discrimination, calibration, and a net benefit across a wide range of recurrent preeclampsia risk thresholds. Furthermore, the model has been translated into a clinical risk calculator, enabling clinicians to calculate individualized risks of recurrent preeclampsia. CONCLUSION: Our study demonstrates that a predictive tool utilizing routine clinical and laboratory factors can accurately estimate the risk of recurrent preeclampsia. This predictive model has the potential to facilitate shared decision-making by providing personalized and risk-stratified care.

IARNN-Based Semantic-Containing Double-Level Embedding Bi-LSTM for Question-and-Answer Matching.

We propose a novel end-to-end approach, namely, the semantic-containing double-level embedding Bi-LSTM model (SCDE-Bi-LSTM), to solve the three key problems of Q&A matching in the Chinese medical field. In the similarity calculation of the Q&A core module, we propose a text similarity calculation method that contains semantic information, to solve the problem that previous Q&A methods do not incorporate the deep information of a sentence into the similarity calculations. For the sentence vector representation module, we present a double-level embedding sentence representation method to reduce the error caused by Chinese medical word segmentation. In addition, due to the problem of the attention mechanism tending to cause backward deviation of the features, we propose an improved algorithm based on Bi-LSTM in the feature extraction stage. The Q&A framework proposed in this paper not only retains important timing features but also loses low-frequency features and noise. Additionally, it is applicable to different domains. To verify the framework, extensive Chinese medical Q&A corpora are created. We run several state-of-the-art Q&A methods as contrastive experiments on the medical corpora and the current popular insuranceQA dataset under different performance measures. The experimental results on the medical corpora show that our framework significantly outperforms several strong baselines and achieves an improvement of top-1 accuracy of up to 14%, reaching 79.15%.

Factors associated with seizure-related motor vehicle accidents among patients with epilepsy in West China.

PURPOSE: This study was conducted to investigate the relevant demographics and clinical factors contributing to seizure-related motor vehicle accidents in west China. METHODS: All driving patients who visited our epilepsy clinic in the West China Hospital, between October 2012 and October 2016, were invited to participate. Data on social demographics, clinical features, and motor vehicle accidents were collected during structured interviews. Binary logistic regression was used to identify factors associated with seizure-related motor vehicle accidents. RESULTS: In total, 519 patients reported driving after being diagnosed with epilepsy. Among them, thirty-nine (7.5%) patients experienced at least one seizure-related motor vehicle accidents. Patients who had seizure-free intervals ≥2 years had a 89% reduced chance of crashing compared to patients with shorter intervals. Logistic regression revealed that the interval of seizure freedom (B = -0.384, P = 0.007), number of antiepileptic drugs (AEDs) taken (B = 0.400, P = 0.041), and type of motor vehicle (B = 0.798, P = 0.021) were independently associated with seizure-related motor vehicle accidents. CONCLUSION: The interval of seizure freedom, number of AEDs taken, and type of motor vehicle should be considered when counseling patients with epilepsy on driving. A longer seizure-free interval suggested a compromised risk of seizure-related motor vehicle accidents.

Prediction of Hemodialysis Timing Based on LVW Feature Selection and Ensemble Learning.

We propose an improved model based on LVW embedded model feature extractor and ensemble learning for improving prediction accuracy of hemodialysis timing in this paper. Due to this drawback caused by feature extraction models, we adopt an enhanced LVW embedded model to search the feature subset by stochastic strategy, which can find the best feature combination that are most beneficial to learner performance. In the model application, we present an improved integrated learners for model fusion to reduce errors caused by overfitting problem of the single classifier. We run several state-of-the-art Q&A methods as contrastive experiments. The experimental results show that the ensemble learning model based on LVW has better generalization ability (97.04%) and lower standard error (± 0.04). We adopt the model to make high-precision predictions of hemodialysis timing, and the experimental results have shown that our framework significantly outperforms several strong baselines. Our model provides strong clinical decision support for physician diagnosis and has important clinical implications.

Diversified gut microbiota in newborns of mothers with gestational diabetes mellitus.

Gestational diabetes mellitus (GDM), a high-risk pregnancy complication of great effect on the perinatal health of women and newborns, may cause changes of gut microbiota in mothers and further affect gut microbiota in newborns. This study aimed to investigate the potential effect of mother GDM on newborns' gut microbiota. Meconium DNA was extracted from a total of 34 full-term and C-sectioned newborns, in which 20 newborns had mothers diagnosed with GDM, while 14 had unaffected mothers. Sequencing and bioinformatics analysis of 16S rRNA indicated that the gut microbiota of GDM newborns showed differences compared to control newborns. The taxonomy analyses suggested that the overall bacterial content significantly differed by maternal diabetes status, with the microbiome of the GDM group showing lower alpha-diversity than that of control group. The phyla of Proteobacteria and Actinobacteria in GDM newborns increased, while that of Bacteroidetes significantly reduced (P<0.05). Moreover, several unique gut microbiota in phylum of Proteobacteria, Firmicutes, Actinobacteria, Bacteroidetes, Chloroflexi, Acidobacteria, and Planctomycetes found in control newborns were absent in GDM ones. At genus level, the relative abundance of Prevotella and Lactobacillus significantly decreased (P<0.05) in GDM newborns. Correlation analysis indicated that maternal fasting glucose levels were positively correlated with the relative abundance of phylum Actinobacteria and genus Acinetobacter, while negatively correlated with that of phylum Bacteroidetes and genus Prevotella. However, bacteria in GDM grade A2 (GDM_A2) newborns did not show any statistical variation compared to those from control newborns, which might be attributed to the additional intervention by insulin. The results of this study have important implications for understanding the potential effects of GDM on the gut microbiota of newborns and thus possibly their metabolism at later stages in their lives.

Epilepsy-related concerns among patients with epilepsy in West China.

PURPOSE: In the present study, we aimed to investigate patient-derived epilepsy-related concerns among Chinese individuals with epilepsy and the impact of seizure control on patient concerns. METHODS: All adult patients with epilepsy who had visited the outpatient clinic at West China Hospital between July 2014 and June 2016 were invited to participate in the study. All patients were given a blank sheet of paper and asked to list any concerns they had regarding their disease in order of importance. Demographic and clinical characteristics were also evaluated while regression models were used to examine the impact of seizure control on patient concerns. RESULTS: A total of 1040 patients reported 2202 concerns across 25 distinct categories. The most frequently listed concerns were worries about seizures (55.4%), maintaining a job (17.4%), and the heritability of epilepsy (16.0%). The legal right to drive was listed by only 3.5% of patients who took the survey while seizure recurrence was described by participants as the most important concern (379, 36.4%). Compared with the group with uncontrolled seizures, the group with controlled seizures reported less frequently about "holding down a job" (odds ratio (OR): 0.333 (0.187-0.591)), "fear of being injured during a seizure" (OR: 0.353 (0.183-0.682)), and "leading a normal life" (OR: 0.452 (0.234-0.871)), but they reported more frequently about "having another seizure" (OR: 2.447 (1.614-3.710)), "problems with medication side effects" (OR: 1.733 (1.148-2.616)), and their "legal right or ability to drive" (OR: 2.360 (1.094-5.092)). CONCLUSION: Our findings indicated that Chinese adults with epilepsy had various concerns, some of which differed from those observed in Western populations. Concerns about heritability of seizures, marriage, and pregnancy were of greater concern to Chinese patients compared with Western patients while the legal right to drive appeared to be less of a concern to Chinese patients. Patients with controlled seizures may still have many concerns. Chinese physicians should monitor patient concerns even among those whose seizures remain controlled to meet their needs. More time and attention should be given to address these issues in clinical practice in the context of Chinese culture.

Social support for people with epilepsy in China.

The aim of this study was to better understand social support in adult people with epilepsy (PWE) in China and to explore the factors related to weaker or stronger social support in PWE when compared with a group of matching healthy controls. Consecutively, we recruited PWE from the epilepsy outpatient clinic of the West China Hospital and healthy controls from nearby urban and rural areas. People with epilepsy and healthy controls were gender- and age-matched. Each participant was interviewed and completed the following instruments: the Social Support Rating Scale (SSRS) and the Hospital Anxiety and Depression Scale (HADS). In addition, we measured quality of life (QoL) in PWE using the Quality of Life in Epilepsy Inventory (QOLIE-31). We compared the SSRS scores between PWE and healthy controls and searched for relevant factors using correlation and regression analyses. The results showed that PWE scored lower on the SSRS than healthy controls. For PWE, early onset and depression were related to weaker social support. In healthy controls, being married and being psychiatrically healthy (i.e., scored lower on the HADS) were related to stronger support. Family members, especially parents and spouses, were the most powerful supporters for PWE and healthy people, but PWE relied on their families to a greater extent. Early intervention and psychiatric treatment are important to address and improve social support for PWE.

Bariatric Surgery in China: How Is This New Concept Going?

BACKGROUND: Obesity has become an epidemic in developing countries including China. The use of bariatric surgery to treat obesity has grown in popularity worldwide, but it is still a new concept in China. This study aims to investigate the trends in bariatric surgery in China. METHODS: An electronic search of the MEDLINE, EMBASE, and Chinese National Knowledge Infrastructure was conducted to select studies for this survey. RESULTS: A total of 7779 bariatric procedures were reported from 2001 to 2015, most of which (89.2 %) were performed in the most recent 5 years. Further, 70.9 % of all procedures were performed to treat obesity and related comorbidities, defined as metabolic surgery. The data showed 89.4 % of all operations were performed laparoscopically. The absolute number of bariatric surgeries increased 148.7 times in the last 5 years compared to the 2001-2005 period. The percentage of laparoscopic Roux-en-Y gastric bypasses performed increased from 0 to 62.2 %, and the percentage of laparoscopic sleeve gastrectomies from 0 to 12.7 %. The percentage of laparoscopic adjustable gastric bands increased dramatically from 0 to 73.3 % in the 2006-2010 period, but it dropped quickly to 12.9 % in the 2011-2015 period. Most operations (66.7 %) were conducted in the East area, which is the most developed economic region in China. There was limited surgical innovation or original research reported in China. CONCLUSIONS: Bariatric surgery is still at an early stage in China, but is now experiencing an explosive growth. A national registry system needs to be established to record and provide precise data.