Development of a prediction model for neonatal hypoglycemia risk factors: a retrospective study.

Background: It's challenging for healthcare workers to detect neonatal hypoglycemia due to its rapid progression and lack of aura symptoms. This may lead to brain function impairment for the newborn, placing a significant care burden on the family and creating an economic burden for society. Tools for early diagnosis of neonatal hypoglycemia are lacking. This study aimed to identify newborns at high risk of developing neonatal hypoglycemia early by developing a risk prediction model. Methods: Using a retrospective design, pairs (470) of women and their newborns in a tertiary hospital from December 2021 to September 2022 were included in this study. Socio-demographic data and clinical data of mothers and newborns were collected. Univariate and multivariate logistic regression were used to screen optimized factors. A neonatal hypoglycemia risk nomogram was constructed using R software, and the calibration curve and receiver operator characteristic curve (ROC) was utilized to evaluate model performance. Results: Factors integrated into the prediction risk nomogram were maternal age (odds ratio [OR] =1.10, 95% CI: 1.04, 1.17), fasting period (OR=1.07, 95% CI: 1.03, 1.12), ritodrine use (OR=2.00, 95% CI: 1.05, 3.88), gestational diabetes mellitus (OR=2.13, 95% CI: 1.30, 3.50), gestational week (OR=0.80, 95% CI: 0.66, 0.96), fetal distress (OR=1.76, 95% CI: 1.11, 2.79) and neonatal body mass index (OR=1.50, 95% CI: 1.24, 1.84). The area under the curve (AUC) was 0.79 (95% confidence interval [CI]: 0.75, 0.82), specificity was 0.82, and sensitivity was 0.62. Conclusion: The prediction model of this study demonstrated good predictive performance. The development of the model identifies advancing maternal age, an extended fasting period before delivery, ritodrine use, gestational diabetes mellitus diagnosis, fetal distress diagnosis and an increase in neonatal body mass index increase the probability of developing neonatal hypoglycemia, while an extended gestational week reduces the probability of developing neonatal hypoglycemia.

Co-Parenting Impact on Breastfeeding: Systematic Review and Meta-Analysis.

Background: Although the beneficial effects of exclusive breastfeeding (EBF) on infants and mothers have been identified, EBF rates remain unsatisfactory. Co-parenting interventions for perinatal couples have not been systematically evaluated and analyzed for their effects on breastfeeding outcomes. Aims and Objectives: To systematically evaluate the effects of co-parenting interventions on the rate of EBF, breastfeeding knowledge, breastfeeding attitude, breastfeeding self-efficacy, parental relationship, and partner support. Methods: Randomized controlled trials and quasi-experimental studies were systematically screened in eight online databases from inception to November 2022. Trials included in this review were assessed using the Cochrane Risk of Bias Assessment Tool. Eligible trials were used to conduct a meta-analysis using Review Manager software. The I2 statistic was used to assess heterogeneity between studies. When it was not possible to conduct a meta-analysis, a descriptive analysis was used to present the findings due to insufficient data from the included studies. Results: Fifteen of the 1,869 articles reviewed met the inclusion criteria. Co-parenting interventions significantly improved the EBF rate at 16 weeks (odds ratio [OR] = 3.85, 95% confidence interval, CI [1.84 to 8.03], p < 0.001, I2 = 69%) and 6 months (OR = 2.82, 95% CI [1.47 to 5.41], p = 0.002, I2 = 85%). This study revealed that co-parenting interventions made statistically significant improvements in parental relationship (standardized mean difference [SMD] = 0.26, 95% CI [0.13 to 0.38], p < 0.001, I2 = 80%). There was no evidence of the effectiveness of interventions in terms of overall parental support (SMD = 0.75, 95% CI [-0.46 to 1.97], p < 0.001, I2 = 96%). Given the discrepant and limited research data, findings on breastfeeding knowledge, breastfeeding attitudes, and breastfeeding self-efficacy were presented descriptively. Conclusion: Co-parenting interventions effectively increase EBF rates at 16 weeks and 6 months postpartum, and improve breastfeeding knowledge, breastfeeding attitude, and parental relationships.

Breastfeeding Practices of Women Returning to Full-Time Employment in China: Prevalence and Determinants.

BACKGROUND: Returning to work after childbirth is a common reason for women to stop breastfeeding. This study aimed to assess breastfeeding practices and breastfeeding support available to employed women in China, and factors affecting breastfeeding duration. METHODS: A cross-sectional survey of 1,243 breastfeeding women employed full-time was conducted. Participants completed a sociodemographic questionnaire and the Workplace Breastfeeding Support Scale (WBSS). Multiple linear regression analysis was used to explore the factors that are associated with breastfeeding. RESULTS: The mean exclusive breastfeeding duration and any breastfeeding duration of full-time employed women were 5.7 ± 0.5 months and 9.8 ± 1.5 months, respectively. The total WBSS score was 46.6 ± 5.3 (M ± SD). Generally, women perceived coworkers (M [SD] = 4.8 [1.0]) and supervisors (M [SD] = 5.7 [1.2]) to be supportive of breastfeeding. Lower scores on the WBSS were related to lack of technical and facility support, indicating no access to a refrigerator to store breast milk (M [SD] = 2.0 [1.5]) or to a breast pump (M [SD] = 1.7 [1.7]). Similarly, a private area for expressing breast milk (M [SD] = 1.4 [1.0]) was unavailable. Maternity leave, residential province, ethnicity, education level, average monthly household income, main reason for stopping exclusive breastfeeding, commute time greater than 1 hour, and the total WBSS score were also factors influencing breastfeeding duration of the full-time employed women. CONCLUSIONS: There were gaps in breastfeeding practices and workplace breastfeeding support of Chinese full-time employed women when compared with the World Health Organization recommendations. Occupational health providers should consider these findings when developing programs to support breastfeeding in the workplace.

Development of a breastfeeding duration risk nomogram for use in postpartum Chinese women.

Previous studies have investigated influencing factors of early discontinuation of breastfeeding, but few studies have developed an easy-to-use tool to identify risk of breastfeeding cessation at 6 months after birth. This research team aimed to develop and validate an exclusive breastfeeding duration risk nomogram in Chinese mothers. A longitudinal cohort survey was conducted. Data were collected from 394 postpartum women in three hospitals in Hubei Province, China from December 2017 to December 2018. The LASSO regression model was used to screen for optimized factors in an exclusive breastfeeding duration model. Multivariable logistic regression was applied to construct a prediction model. Discrimination and calibration were assessed using a C-index and calibration curve, and internal validity was established using bootstrapping validation. Factors integrated in the prediction risk nomogram were monthly household income (odds ratio [OR] = 1.31, 95% confidence interval [CI]: [0.95, 1.80]), experiences of breastfeeding (OR = 1.23, 95% CI: [0.92, 1.63]), attitude (OR = 1.72, 95% CI: [0.94, 3.16]), self-efficacy (OR = 2.45, 95% CI: [1.40, 4.29]), perceived insufficient milk supply (OR = 0.12, 95% CI: [0.06, 0.25]) and postpartum depression (OR = 0.06, 95% CI: [0.02, 0.17]). The model displayed good discrimination with a C-index of 0.87 (95% CI: [0.84, 0.91]) and good calibration. The C-index interval validation was confirmed to be 0.86. This study resulted in the development of a novel nomogram with good accuracy to aid healthcare professionals in assessing the probability of a mother discontinuing exclusive breastfeeding at the breast before 6 months.

COVID-19 related fear and depression of pregnant women and new mothers.

OBJECTIVE: To explore factors associated with depression and COVID-19 related fear among pregnant women and new mothers. DESIGN: A cross-sectional survey was conducted in China from July 2020 to July 2021. SAMPLE: A total of 3027 pregnant and new mothers were recruited. MEASUREMENT: Sociodemographic characteristics and the perceptions of the COVID-19 pandemic were collected. The Patient Health Questionnaire-9 (PHQ-9) and the Fear Scale was used to assess the depressive and fear level towards the COVID-19 pandemic, respectively. RESULTS: Approximately 17.2% of the participants had depression (PHQ-9 ≥10). In Hong Kong, participants who perceived that they have increased knowledge to prevent infection were less likely to have depression (adjusted odds ratio [aOR] = 0.83; 95% confidence interval [CI] = 0.74-0.94). There was no association between perceived severity if infected and severity of spread and the depression level in our sample. An inverse relationship was found between the COVID-19 related fear level and perceived knowledge to prevent infection (Beta-coefficient [ß] = -0.20; 95% CI = -0.38 to -0.02). CONCLUSION: Public health nurses need to promote accurate and up to date COVID-19 related information at clinical and community settings and implement effective screening for depression and fear symptoms to identify these high-risk groups to improve women's psychological well-being.

International survey on fear and childbirth experience in pregnancy and the postpartum period during the COVID-19 pandemic: study protocol.

INTRODUCTION: The COVID-19 pandemic has caused unprecedented disruptions around the world. Adding to the existing stress surrounding pregnancy and childbirth, the threat of infection and social isolation policies may negatively impact pregnant women and new mothers. Literature on the effect of COVID-19 on fear during pregnancy and childbirth experience is limited. As the COVID-19 pandemic continues to affect the global population, it is important to understand how it has impacted pregnant women and new mothers' experiences worldwide to inform perinatal care and interventions. METHODS AND ANALYSIS: This multicountry study involving China and Canada targets to recruit 1000 pregnant women and new mothers who gave birth since 2020 in each participating country. Participants will be recruited online in the local language through mothers' groups, antenatal and postnatal clinics and hospital wards. All questionnaires will be completed online. Participants' level of fear, depression and childbirth experience will be assessed along with other sociodemographic, medical and COVID-related measures. Regression models will be used to compare the outcomes among the participating countries. ETHICS AND DISSEMINATION: The study has been reviewed and approved by the institutional review boards of the participating countries. Findings will be disseminated in peer-reviewed journals and academic conferences. Results from this study may guide the formulation of future health guidelines and policies in the face of a pandemic.

Individual mortality risk predictive system of patients with acute-on-chronic liver failure based on a random survival forest model.

BACKGROUND: The basis of individualized treatment should be individualized mortality risk predictive information. The present study aimed to develop an online individual mortality risk predictive tool for acute-on-chronic liver failure (ACLF) patients based on a random survival forest (RSF) algorithm. METHODS: The current study retrospectively enrolled ACLF patients from the Department of Infectious Diseases of The First People's Hospital of Foshan, Shunde Hospital of Southern Medical University, and Jiangmen Central Hospital. Two hundred seventy-six consecutive ACLF patients were included in the present study as a model cohort (n = 276). Then the current study constructed a validation cohort by drawing patients from the model dataset based on the resampling method (n = 276). The RSF algorithm was used to develop an individual prognostic model for ACLF patients. The Brier score was used to evaluate the diagnostic accuracy of prognostic models. The weighted mean rank estimation method was used to compare the differences between the areas under the time-dependent ROC curves (AUROCs) of prognostic models. RESULTS: Multivariate Cox regression identified hepatic encephalopathy (HE), age, serum sodium level, acute kidney injury (AKI), red cell distribution width (RDW), and international normalization index (INR) as independent risk factors for ACLF patients. A simplified RSF model was developed based on these previous risk factors. The AUROCs for predicting 3-, 6-, and 12-month mortality were 0.916, 0.916, and 0.905 for the RSF model and 0.872, 0.866, and 0.848 for the Cox model in the model cohort, respectively. The Brier scores were 0.119, 0.119, and 0.128 for the RSF model and 0.138, 0.146, and 0.156 for the Cox model, respectively. The nonparametric comparison suggested that the RSF model was superior to the Cox model for predicting the prognosis of ACLF patients. CONCLUSIONS: The current study developed a novel online individual mortality risk predictive tool that could predict individual mortality risk predictive curves for individual patients. Additionally, the current online individual mortality risk predictive tool could further provide predicted mortality percentages and 95% confidence intervals at user-defined time points.

Experience predicts the duration of exclusive breastfeeding: The serial mediating roles of attitude and self-efficacy.

BACKGROUND AND AIMS: The relationship between prior breastfeeding experience and the duration of exclusive breastfeeding is of significant interest, but few studies have explored the mechanisms underlying this relationship. The purpose of this study is to address two hypotheses: (a) that attitude and self-efficacy mediate the relationship between previous breastfeeding experience and the duration of exclusive breastfeeding; and (b) that attitude and self-efficacy have serial mediation functions in this relationship. METHODS: The data collection process was divided into two stages. The original stage included 394 women hospitalized after delivery who completed socio-demographic questionnaires (including previous breastfeeding experience), the Iowa Infant Feeding Attitude Scale (IIFAS), and the Breastfeeding Self-efficacy Short-Form Scale (BSES-SF). Follow-up data about duration of exclusive breastfeeding were obtained at six months postpartum. RESULTS: Mediation analysis indicated that previous breastfeeding experience directly affected the duration of exclusive breastfeeding and that the rate of the total indirect effect was 22.878%. Self-efficacy mediated previous breastfeeding experience and duration of exclusive breastfeeding, whereas attitude and self-efficacy played the series mediational role between previous breastfeeding experience and duration of exclusive breastfeeding. Cluster analysis supported these results. CONCLUSIONS: The duration of exclusive breastfeeding can be promoted by improving breastfeeding attitude and self-efficacy in women without breastfeeding experience.

Hindrances of peripherally inserted central catheter care of leukemia patients: a qualitative study.

OBJECTIVE: A peripherally inserted central catheter (PICC) needs regular care. However, clinical observations found that some discharged leukemia patients in mainland China had not complied with the requirement of regular care. Our study aims to explore the facilitators and hindrances of regular cares of PICC in leukemia patients with the Colaizzi phenomenon analysis. METHODS: This qualitative report used the descriptive phenomenological method to collect information and was conducted in accordance with the COREQ checklist. By purposive sampling, 11 leukemia patients with PICC were selected and interviewed in the Department of Hematology of a first-class hospital in Wuhan (central China). The interviews were conducted from March 2016 to May 2017. RESULTS: Two facilitators for PICC care were extracted through interviews, including fear of nosocomial infection and convenience for treatment. Eleven hindrances were summarized, including high costs, unavailability of local services, worries about affecting family members, a lack of health awareness, inconvenient transportations, fluke minds, physical discomfort, fears of leukemia and chemotherapy, short chemotherapy intervals, damage to appearance, and no insurance coverage of costs. CONCLUSION: Leukemia patients' compliance with PICC care was hindered by several factors. The improvement of PICC care may need joint efforts of patients, nursing professionals, hospitals' managerial staff, and governments.