Latent trajectories of anxiety and depression among women during subsequent pregnancy following pregnancy loss.

AIM: To determine the longitudinal trajectories of anxiety and depression among pregnant women who have experienced pregnancy loss, and to explore the association between post-traumatic stress symptoms (PTSS) related to pregnancy loss and these trajectories. DESIGN: A prospective longitudinal study. METHODS: Between October 2022 and August 2023, pregnant women with a history of pregnancy loss were recruited from four hospitals in Guangdong Province, China. Eligible participants were screened for PTSS related to pregnancy loss upon enrolment. Anxiety and depression symptoms were assessed in early, mid and late pregnancy using the Pregnancy-related Anxiety Questionnaire-Revised 2 and the Patient Health Questionnaire-9, respectively. Latent class growth analysis was employed to categorize anxiety and depression trajectories, and multinomial logistic regression analysis was conducted to examine the association between PTSS and these trajectories. RESULTS: Of the 388 participants included in the analysis, 158 individuals (40.7%) reported high PTSS scores. The best-fitting models identified three trajectories for both anxiety and depression: low (anxiety: 35.6%, depression: 48.7%), moderate (anxiety: 44.8%, depression: 40.5%) and high (anxiety: 19.6%, depression: 10.8%). Pregnant women with high PTSS levels were significantly more likely to experience moderate-to-high trajectories of anxiety and depression compared to those with low PTSS levels. CONCLUSION: Pregnant women who have experienced pregnancy loss exhibit higher incidences of elevated anxiety and depression trajectories. Screening for PTSS and targeted supportive care are recommended to alleviate anxiety and depressive symptoms in this population. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: This study underscores the importance of early psychological screening and tailored interventions for pregnant women with a history of pregnancy loss. Trauma-informed care should be prioritized to mitigate anxiety and depression trajectories in this vulnerable population. PATIENT OR PUBLIC CONTRIBUTION: There was no patient or public involvement.

Risk prediction model for postoperative pneumonia in esophageal cancer patients: A systematic review.

Background: Numerous studies have developed or validated prediction models to estimate the likelihood of postoperative pneumonia (POP) in esophageal cancer (EC) patients. The quality of these models and the evaluation of their applicability to clinical practice and future research remains unknown. This study systematically evaluated the risk of bias and applicability of risk prediction models for developing POP in patients undergoing esophageal cancer surgery. Methods: PubMed, Embase, Web of Science, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), WanFang Database and Chinese Biomedical Literature Database were searched from inception to March 12, 2024. Two investigators independently screened the literature and extracted data. The Prediction Model Risk of Bias Assessment Tool (PROBAST) checklist was employed to evaluate both the risk of bias and applicability. Result: A total of 14 studies involving 23 models were included. These studies were mainly published between 2014 and 2023. The applicability of all studies was good. However, all studies exhibited a high risk of bias, primarily attributed to inappropriate data sources, insufficient sample size, irrational treatment of variables and missing data, and lack of model validation. The incidence of POP in patients undergoing esophageal cancer surgery ranged from 14.60% to 39.26%. The most frequently used predictors were smoking, age, chronic obstructive pulmonary disease(COPD), diabetes mellitus, and methods of thoracotomy. Inter-model discrimination ranged from 0.627 to 0.850, sensitivity ranged between 60.7% and 84.0%, and specificity ranged from 59.1% to 83.9%. Conclusion: In all included studies, good discrimination was reported for risk prediction models for POP in patients undergoing esophageal cancer surgery, indicating stable model performance. However, according to the PROBAST checklist, all studies had a high risk of bias. Future studies should use the predictive model assessment tool to improve study design and develop new models with larger samples and multicenter external validation. Systematic review registration: https://www.crd.york.ac.uk/prospero, identifier CRD42024527085.

Psychological distress in subsequent pregnancy among women with a history of pregnancy loss: A latent profile analysis.

BACKGROUND: Women who have undergone pregnancy loss can experience a range of psychological distress during subsequent pregnancies; however, the outcomes may vary based on individual circumstances. OBJECTIVE: To explore the potential patterns of psychological distress for pregnant women with a history of pregnancy loss, and to investigate the impact of factors related to pregnancy loss on these patterns. METHODS: From October 2022 to August 2023, the participants were recruited from four medical centers in Guangdong Province, China. They completed a questionnaire survey comprising sociodemographic and obstetric characteristics, the Perceived Stress Scale-4 (PSS-4), the Impact of Event Scale-Revised (IES-R), the Pregnancy-related Anxiety Questionnaire-Revised 2 (PRAQ-R2), and the Patient Health Questionnaire-9 (PHQ-9). Latent profile analysis was used to determine optimal patterns of psychological distress. The logistic regression was conducted to assess the associations between the number of pregnancy loss, types of pregnancy loss, inter-pregnancy interval, and distinct psychological distress patterns. RESULTS: A total of 446 pregnant women with a history of pregnancy loss were included for formal analysis. Three distinct profiles were identified, namely the "mild psychological distress" (34.1 %), "moderate psychological distress" (57.8 %), and "severe psychological distress" (8.1 %). Recurrent pregnancy loss was associated with increased risks of both moderate (adjusted odds ratio [aOR] 2.45, 95 % confidence interval [CI]: 1.42-4.24; P = 0.001) and severe psychological distress (aOR 2.93, 95 %CI: 1.25-6.83; P = 0.013). Furthermore, compared to women who conceived after 6 months of pregnancy loss, those who conceived within 6 months of pregnancy loss were more likely to be categorized into the group of moderate psychological distress (aOR 2.00, 95 % CI: 1.21-3.30; P = 0.007). CONCLUSIONS: Approximately two-thirds of pregnant women with a history of pregnancy loss exhibit moderate to severe psychological distress. Such individuals could benefit from early screening and targeted psychological interventions, particularly those who have encountered recurrent pregnancy loss and those who conceive shortly after a pregnancy loss.

Changes in Incidence of Notifiable Infectious Diseases in China Under the Prevention and Control Measures of COVID-19.

Aim: The aim of this study was to analyze the changes in incidence of notifiable infectious diseases in China under the prevention and control measures of COVID-19. Methods: Using descriptive epidemiological methods, data were collected from the official website of the Health Commission of the People's Republic of China, and the prevalence characteristics of notifiable infectious diseases in the country in 2020 were analyzed and compared with the historical data in 2019. Monthly reporting data on influenza and tuberculosis from 2015 to 2019 were also collected. Results: Except for COVID-19, the total number of notifiable infectious diseases cases in 2020 was 6,366,176, a decrease of 41.38% year-on-year compared with 2019. Category B and C notifiable infectious diseases decreased by 14.84 and 54.98% year-on-year, respectively (P < 0.01). The top three incidence rates were influenza (87.63 cases/100,000), hepatitis B (81.36 cases/100,000) and other infectious diarrhea (76.33 cases/100,000). Three types of diseases with the largest decline were influenza (-2,280,502 cases), hand-foot-mouth disease (-1,174,588 cases), and other infectious diarrhea diseases (-275,746 cases). Compared with 2019, respiratory infectious diseases were reported to be in the largest decline in 2020, followed by intestinal infectious diseases, blood-borne and sexually transmitted diseases, natural foci, and insect-borne infectious diseases. The monthly reported incidences of influenza and tuberculosis in 2020 were lower than the average of the previous 5 years. Conclusion: In 2020, the incidence of most notifiable infectious diseases in China showed a downward trend, non-pharmaceutical interventions (NPIs)such as the wearing of masks, frequent hand-washing, more ventilation, less gathering, etc, played an positive role in the prevention and control of respiratory and intestinal infectious diseases. The various public health intervention strategies and measures adopted by China to contain COVID-19 can provide a reference for the prevention and control of infectious diseases in other countries.

Cell count-based parameters and algorithms for thalassaemia trait screening in the southern Chinese population.

INTRODUCTION: Thalassaemia trait (TT) is potential to be missed clinically, especially normocytic thalassaemia. We aimed to establish discriminant functions (DFs) and an algorithm for detecting microcytic or normocytic TT in epidemiological screening. METHODS: The receiver operating characteristics (ROC) curve analysis was used to determine the diagnostic performance of the proposed formulas in differentiating TT and nonthalassaemia (non-TT). DFs combined the two blood count parameters with the highest performance, based on the area under the curve (AUC) value, into mathematical formulas, using logistic regression. The diagnostic efficacy of DFs was subsequently evaluated in 761 participants, and reliability (including adjusted agreement [AA] and Kappa values) and validity (including sensitivity, specificity, likelihood ratio and Youden's Index) were calculated. RESULTS: Among microcytic participants, the proposed DFs showed good diagnostic performance (in females: AUC = 0.892 [DF1 = 0.015 × RDW-CV/RBC - 0.096 × RDW-SD/RBC + 1.29], in males: AUC = 0.861 [DF2=-0.025 × RDW-SD/RBC - 0.035 × MCV/RBC + 1.415]). Youden's Index, AA and Kappa values for microcytic TT detection were 0.72, 0.86, and 0.72 and 0.63, 0.81 and 0.63 for females and males, respectively. In normocytic participants with RDW-CV/RBC ≤ 3.54, DF3=-0.38 × MCH-0.02 × MCHC+17.37 achieved AUC = 0.857 in females, whereas DF4 = 0.007 × MCV-0.113 × MCH+2.829 achieved AUC = 0.969 in males. The Youden's Index, AA and Kappa values for the proposed DFs for thalassaemia detection were 0.69, 0.84 and 0.67 in females, 0.76, 0.91 and 0.71 in males, respectively. CONCLUSION: The proposed DFs performed well in the detection of TT among participants with microcytic and normocytic parameters and could be utilized in epidemiological study for TT.

Acupoint Massage Therapy Alters the Composition of Gut Microbiome in Functional Constipation Patients.

RESULTS: Results showed the overall structure of gut microbiome has no significant difference between experimental and control groups. In the genus level, the abundance of Pseudobutyrivibrio and Ruminiclostridium is higher in the experiment group than in the control, whereas that of Fusicatenibacter is less. The 16S KEGG function prediction suggested that Parkinson disease, retinol metabolism, and arachidonic acid metabolism could explain the biological function of different gut microbiome. Furthermore, cytokines in the serum showed a correlation with the abundance of Pseudobutyrivibrio in CFC. CONCLUSION: AMT could change the composition of gut microbiome which is associated with cytokines in CFC patients.